diff --git a/.cspell/frigate-dictionary.txt b/.cspell/frigate-dictionary.txt
index 64fd7ca72..6e66a4704 100644
--- a/.cspell/frigate-dictionary.txt
+++ b/.cspell/frigate-dictionary.txt
@@ -2,6 +2,7 @@ aarch
 absdiff
 airockchip
 Alloc
+alpr
 Amcrest
 amdgpu
 analyzeduration
@@ -43,6 +44,7 @@ codeproject
 colormap
 colorspace
 comms
+cooldown
 coro
 ctypeslib
 CUDA
@@ -61,6 +63,7 @@ dsize
 dtype
 ECONNRESET
 edgetpu
+facenet
 fastapi
 faststart
 fflags
@@ -105,8 +108,8 @@ imagestream
 imdecode
 imencode
 imread
-imutils
 imwrite
+inpoint
 interp
 iostat
 iotop
@@ -114,6 +117,8 @@ itemsize
 Jellyfin
 jetson
 jetsons
+jina
+jinaai
 joserfc
 jsmpeg
 jsonify
@@ -187,6 +192,7 @@ openai
 opencv
 openvino
 OWASP
+paddleocr
 paho
 passwordless
 popleft
@@ -259,6 +265,7 @@ tensorrt
 tflite
 thresholded
 timelapse
+titlecase
 tmpfs
 tobytes
 toggleable
@@ -308,4 +315,4 @@ yolo
 yolonas
 yolox
 zeep
-zerolatency
+zerolatency
\ No newline at end of file
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 63adae73d..c782fb32f 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -8,9 +8,25 @@
   "overrideCommand": false,
   "remoteUser": "vscode",
   "features": {
-    "ghcr.io/devcontainers/features/common-utils:1": {}
+    "ghcr.io/devcontainers/features/common-utils:2": {}
+    // Uncomment the following lines to use ONNX Runtime with CUDA support
+    // "ghcr.io/devcontainers/features/nvidia-cuda:1": {
+    //   "installCudnn": true,
+    //   "installNvtx": true,
+    //   "installToolkit": true,
+    //   "cudaVersion": "12.5",
+    //   "cudnnVersion": "9.4.0.58"
+    // },
+    // "./features/onnxruntime-gpu": {}
   },
-  "forwardPorts": [8971, 5000, 5001, 5173, 8554, 8555],
+  "forwardPorts": [
+    8971,
+    5000,
+    5001,
+    5173,
+    8554,
+    8555
+  ],
   "portsAttributes": {
     "8971": {
       "label": "External NGINX",
@@ -64,10 +80,18 @@
         "editor.formatOnType": true,
         "python.testing.pytestEnabled": false,
         "python.testing.unittestEnabled": true,
-        "python.testing.unittestArgs": ["-v", "-s", "./frigate/test"],
+        "python.testing.unittestArgs": [
+          "-v",
+          "-s",
+          "./frigate/test"
+        ],
         "files.trimTrailingWhitespace": true,
-        "eslint.workingDirectories": ["./web"],
-        "isort.args": ["--settings-path=./pyproject.toml"],
+        "eslint.workingDirectories": [
+          "./web"
+        ],
+        "isort.args": [
+          "--settings-path=./pyproject.toml"
+        ],
         "[python]": {
           "editor.defaultFormatter": "charliermarsh.ruff",
           "editor.formatOnSave": true,
@@ -86,9 +110,16 @@
           ],
           "editor.tabSize": 2
         },
-        "cSpell.ignoreWords": ["rtmp"],
-        "cSpell.words": ["preact", "astype", "hwaccel", "mqtt"]
+        "cSpell.ignoreWords": [
+          "rtmp"
+        ],
+        "cSpell.words": [
+          "preact",
+          "astype",
+          "hwaccel",
+          "mqtt"
+        ]
       }
     }
   }
-}
+}
\ No newline at end of file
diff --git a/.devcontainer/features/onnxruntime-gpu/devcontainer-feature.json b/.devcontainer/features/onnxruntime-gpu/devcontainer-feature.json
new file mode 100644
index 000000000..30514442b
--- /dev/null
+++ b/.devcontainer/features/onnxruntime-gpu/devcontainer-feature.json
@@ -0,0 +1,22 @@
+{
+  "id": "onnxruntime-gpu",
+  "version": "0.0.1",
+  "name": "ONNX Runtime GPU (Nvidia)",
+  "description": "Installs ONNX Runtime for Nvidia GPUs.",
+  "documentationURL": "",
+  "options": {
+    "version": {
+      "type": "string",
+      "proposals": [
+        "latest",
+        "1.20.1",
+        "1.20.0"
+      ],
+      "default": "latest",
+      "description": "Version of ONNX Runtime to install"
+    }
+  },
+  "installsAfter": [
+    "ghcr.io/devcontainers/features/nvidia-cuda"
+  ]
+}
\ No newline at end of file
diff --git a/.devcontainer/features/onnxruntime-gpu/install.sh b/.devcontainer/features/onnxruntime-gpu/install.sh
new file mode 100644
index 000000000..0c090beec
--- /dev/null
+++ b/.devcontainer/features/onnxruntime-gpu/install.sh
@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+
+set -e
+
+VERSION=${VERSION}
+
+python3 -m pip config set global.break-system-packages true
+# if VERSION == "latest" or VERSION is empty, install the latest version
+if [ "$VERSION" == "latest" ] || [ -z "$VERSION" ]; then
+    python3 -m pip install onnxruntime-gpu
+else
+    python3 -m pip install onnxruntime-gpu==$VERSION
+fi
+
+echo "Done!"
\ No newline at end of file
diff --git a/.devcontainer/post_create.sh b/.devcontainer/post_create.sh
index ec33ffb86..fcf7ca693 100755
--- a/.devcontainer/post_create.sh
+++ b/.devcontainer/post_create.sh
@@ -19,7 +19,7 @@ sudo chown -R "$(id -u):$(id -g)" /media/frigate
 # When started as a service, LIBAVFORMAT_VERSION_MAJOR is defined in the
 # s6 service file. For dev, where frigate is started from an interactive
 # shell, we define it in .bashrc instead.
-echo 'export LIBAVFORMAT_VERSION_MAJOR=$(/usr/lib/ffmpeg/7.0/bin/ffmpeg -version | grep -Po "libavformat\W+\K\d+")' >> $HOME/.bashrc
+echo 'export LIBAVFORMAT_VERSION_MAJOR=$("$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)" -version | grep -Po "libavformat\W+\K\d+")' >> "$HOME/.bashrc"
 
 make version
 
diff --git a/.github/DISCUSSION_TEMPLATE/camera-support.yml b/.github/DISCUSSION_TEMPLATE/camera-support.yml
index a76fd5caf..521d65ded 100644
--- a/.github/DISCUSSION_TEMPLATE/camera-support.yml
+++ b/.github/DISCUSSION_TEMPLATE/camera-support.yml
@@ -73,7 +73,7 @@ body:
     attributes:
       label: Operating system
       options:
-        - HassOS
+        - Home Assistant OS
         - Debian
         - Other Linux
         - Proxmox
@@ -87,7 +87,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
         - Proxmox via Docker
diff --git a/.github/DISCUSSION_TEMPLATE/config-support.yml b/.github/DISCUSSION_TEMPLATE/config-support.yml
index 4934d7936..575f7f640 100644
--- a/.github/DISCUSSION_TEMPLATE/config-support.yml
+++ b/.github/DISCUSSION_TEMPLATE/config-support.yml
@@ -59,7 +59,7 @@ body:
     attributes:
       label: Operating system
       options:
-        - HassOS
+        - Home Assistant OS
         - Debian
         - Other Linux
         - Proxmox
@@ -73,7 +73,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
         - Proxmox via Docker
diff --git a/.github/DISCUSSION_TEMPLATE/detector-support.yml b/.github/DISCUSSION_TEMPLATE/detector-support.yml
index 442b2527a..fb994500f 100644
--- a/.github/DISCUSSION_TEMPLATE/detector-support.yml
+++ b/.github/DISCUSSION_TEMPLATE/detector-support.yml
@@ -53,7 +53,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
         - Proxmox via Docker
diff --git a/.github/DISCUSSION_TEMPLATE/general-support.yml b/.github/DISCUSSION_TEMPLATE/general-support.yml
index 7af52bdf5..0b9f225b6 100644
--- a/.github/DISCUSSION_TEMPLATE/general-support.yml
+++ b/.github/DISCUSSION_TEMPLATE/general-support.yml
@@ -73,7 +73,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
         - Proxmox via Docker
diff --git a/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml b/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml
index 43fb3503b..861156696 100644
--- a/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml
+++ b/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml
@@ -69,7 +69,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
         - Proxmox via Docker
diff --git a/.github/DISCUSSION_TEMPLATE/report-a-bug.yml b/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
index dba6d695e..21e4f746f 100644
--- a/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
+++ b/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
@@ -97,7 +97,7 @@ body:
     attributes:
       label: Operating system
       options:
-        - HassOS
+        - Home Assistant OS
         - Debian
         - Other Linux
         - Proxmox
@@ -111,7 +111,7 @@ body:
     attributes:
       label: Install method
       options:
-        - HassOS Addon
+        - Home Assistant Add-on
         - Docker Compose
         - Docker CLI
     validations:
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 30d4dab7b..3204244a6 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -1,7 +1,13 @@
 ## Proposed change
 <!--
+  Thank you!
+
+  If you're introducing a new feature or significantly refactoring existing functionality,
+  we encourage you to start a discussion first. This helps ensure your idea aligns with
+  Frigate's development goals.
+
   Describe what this pull request does and how it will benefit users of Frigate.
-  Please describe in detail any considerations, breaking changes, etc. that are 
+  Please describe in detail any considerations, breaking changes, etc. that are
   made in this pull request.
 -->
 
@@ -18,7 +24,7 @@
 ## Additional information
 
 - This PR fixes or closes issue: fixes #
-- This PR is related to issue: 
+- This PR is related to issue:
 
 ## Checklist
 
@@ -29,4 +35,5 @@
 - [ ] The code change is tested and works locally.
 - [ ] Local tests pass. **Your PR cannot be merged unless tests pass**
 - [ ] There is no commented out code in this PR.
+- [ ] UI changes including text have used i18n keys and have been added to the `en` locale.
 - [ ] The code has been formatted using Ruff (`ruff format frigate`)
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index bb5ee4d2c..44f472beb 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -41,8 +41,9 @@ jobs:
           target: frigate
           tags: ${{ steps.setup.outputs.image-name }}-amd64
           cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
+          cache-to: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64,mode=max
   arm64_build:
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-22.04-arm
     name: ARM Build
     steps:
       - name: Check out code
@@ -76,36 +77,8 @@ jobs:
             rpi.tags=${{ steps.setup.outputs.image-name }}-rpi
             *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64,mode=max
-  jetson_jp4_build:
-    runs-on: ubuntu-22.04
-    name: Jetson Jetpack 4
-    steps:
-      - name: Check out code
-        uses: actions/checkout@v4
-        with:
-          persist-credentials: false
-      - name: Set up QEMU and Buildx
-        id: setup
-        uses: ./.github/actions/setup
-        with:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      - name: Build and push TensorRT (Jetson, Jetpack 4)
-        env:
-          ARCH: arm64
-          BASE_IMAGE: timongentzsch/l4t-ubuntu20-opencv:latest
-          SLIM_BASE: timongentzsch/l4t-ubuntu20-opencv:latest
-          TRT_BASE: timongentzsch/l4t-ubuntu20-opencv:latest
-        uses: docker/bake-action@v6
-        with:
-          source: .
-          push: true
-          targets: tensorrt
-          files: docker/tensorrt/trt.hcl
-          set: |
-            tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp4
-            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp4
-            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp4,mode=max
   jetson_jp5_build:
+    if: false
     runs-on: ubuntu-22.04
     name: Jetson Jetpack 5
     steps:
@@ -134,6 +107,35 @@ jobs:
             tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp5
             *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp5
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp5,mode=max
+  jetson_jp6_build:
+    runs-on: ubuntu-22.04-arm
+    name: Jetson Jetpack 6
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+      - name: Set up QEMU and Buildx
+        id: setup
+        uses: ./.github/actions/setup
+        with:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Build and push TensorRT (Jetson, Jetpack 6)
+        env:
+          ARCH: arm64
+          BASE_IMAGE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
+          SLIM_BASE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
+          TRT_BASE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
+        uses: docker/bake-action@v6
+        with:
+          source: .
+          push: true
+          targets: tensorrt
+          files: docker/tensorrt/trt.hcl
+          set: |
+            tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp6
+            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6
+            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6,mode=max
   amd64_extra_builds:
     runs-on: ubuntu-22.04
     name: AMD64 Extra Build
@@ -160,10 +162,24 @@ jobs:
           files: docker/tensorrt/trt.hcl
           set: |
             tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt
-            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
-            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64,mode=max
+            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-tensorrt
+            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-tensorrt,mode=max
+      - name: AMD/ROCm general build
+        env:
+          AMDGPU: gfx
+          HSA_OVERRIDE: 0
+        uses: docker/bake-action@v6
+        with:
+          source: .
+          push: true
+          targets: rocm
+          files: docker/rocm/rocm.hcl
+          set: |
+            rocm.tags=${{ steps.setup.outputs.image-name }}-rocm
+            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-rocm,mode=max
+            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-rocm
   arm64_extra_builds:
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-22.04-arm
     name: ARM Extra Build
     needs:
       - arm64_build
@@ -187,46 +203,6 @@ jobs:
           set: |
             rk.tags=${{ steps.setup.outputs.image-name }}-rk
             *.cache-from=type=gha
-  combined_extra_builds:
-    runs-on: ubuntu-22.04
-    name: Combined Extra Builds
-    needs:
-      - amd64_build
-      - arm64_build
-    steps:
-      - name: Check out code
-        uses: actions/checkout@v4
-        with:
-          persist-credentials: false
-      - name: Set up QEMU and Buildx
-        id: setup
-        uses: ./.github/actions/setup
-        with:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      - name: Build and push Hailo-8l build
-        uses: docker/bake-action@v6
-        with:
-          source: .
-          push: true
-          targets: h8l
-          files: docker/hailo8l/h8l.hcl
-          set: |
-            h8l.tags=${{ steps.setup.outputs.image-name }}-h8l
-            *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-h8l
-            *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-h8l,mode=max
-      - name: AMD/ROCm general build
-        env:
-          AMDGPU: gfx
-          HSA_OVERRIDE: 0
-        uses: docker/bake-action@v6
-        with:
-          source: .
-          push: true
-          targets: rocm
-          files: docker/rocm/rocm.hcl
-          set: |
-            rocm.tags=${{ steps.setup.outputs.image-name }}-rocm
-            *.cache-from=type=gha
   # The majority of users running arm64 are rpi users, so the rpi
   # build should be the primary arm64 image
   assemble_default_build:
diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml
index cea238eab..02fde5861 100644
--- a/.github/workflows/pull_request.yml
+++ b/.github/workflows/pull_request.yml
@@ -4,9 +4,10 @@ on:
   pull_request:
     paths-ignore:
       - "docs/**"
+      - ".github/**"
 
 env:
-  DEFAULT_PYTHON: 3.9
+  DEFAULT_PYTHON: 3.11
 
 jobs:
   build_devcontainer:
@@ -23,7 +24,7 @@ jobs:
           persist-credentials: false
       - uses: actions/setup-node@master
         with:
-          node-version: 16.x
+          node-version: 20.x
       - name: Install devcontainer cli
         run: npm install --global @devcontainers/cli
       - name: Build devcontainer
@@ -63,6 +64,9 @@ jobs:
           node-version: 20.x
       - run: npm install
         working-directory: ./web
+      - name: Build web
+        run: npm run build
+        working-directory: ./web
       # - name: Test
       #   run: npm run test
       #   working-directory: ./web
@@ -76,7 +80,7 @@ jobs:
         with:
           persist-credentials: false
       - name: Set up Python ${{ env.DEFAULT_PYTHON }}
-        uses: actions/setup-python@v5.3.0
+        uses: actions/setup-python@v5.4.0
         with:
           python-version: ${{ env.DEFAULT_PYTHON }}
       - name: Install requirements
@@ -98,14 +102,6 @@ jobs:
         uses: actions/checkout@v4
         with:
           persist-credentials: false
-      - uses: actions/setup-node@master
-        with:
-          node-version: 16.x
-      - run: npm install
-        working-directory: ./web
-      - name: Build web
-        run: npm run build
-        working-directory: ./web
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
       - name: Set up Docker Buildx
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index ace4c3b3f..6c19ca6cb 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -39,14 +39,14 @@ jobs:
           STABLE_TAG=${BASE}:stable
           PULL_TAG=${BASE}:${BUILD_TAG}
           docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${VERSION_TAG}
-          for variant in standard-arm64 tensorrt tensorrt-jp4 tensorrt-jp5 rk h8l rocm; do
+          for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
             docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${VERSION_TAG}-${variant}
           done
 
           # stable tag
           if [[ "${BUILD_TYPE}" == "stable" ]]; then
             docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${STABLE_TAG}
-            for variant in standard-arm64 tensorrt tensorrt-jp4 tensorrt-jp5 rk h8l rocm; do
+            for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
               docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${STABLE_TAG}-${variant}
             done
           fi
diff --git a/Makefile b/Makefile
index 80cbb519f..5500174af 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
 default_target: local
 
 COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
-VERSION = 0.15.2
+VERSION = 0.16.0
 IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
 GITHUB_REF_NAME ?= $(shell git rev-parse --abbrev-ref HEAD)
 BOARDS= #Initialized empty
diff --git a/README.md b/README.md
index 5b67c86c3..35e8cb7e9 100644
--- a/README.md
+++ b/README.md
@@ -4,9 +4,15 @@
 
 # Frigate - NVR With Realtime Object Detection for IP Cameras
 
+<a href="https://hosted.weblate.org/engage/frigate-nvr/">
+<img src="https://hosted.weblate.org/widget/frigate-nvr/language-badge.svg" alt="Translation status" />
+</a>
+
+\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
+
 A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
 
-Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
+Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/) or [Hailo](https://hailo.ai/) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
 
 - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
 - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
@@ -30,21 +36,33 @@ If you would like to make a donation to support development, please use [Github
 ## Screenshots
 
 ### Live dashboard
+
 <div>
 <img width="800" alt="Live dashboard" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
 </div>
 
 ### Streamlined review workflow
+
 <div>
 <img width="800" alt="Streamlined review workflow" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
 </div>
 
 ### Multi-camera scrubbing
+
 <div>
 <img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
 </div>
 
 ### Built-in mask and zone editor
+
 <div>
 <img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
 </div>
+
+## Translations
+
+We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support language translations. Contributions are always welcome.
+
+<a href="https://hosted.weblate.org/engage/frigate-nvr/">
+<img src="https://hosted.weblate.org/widget/frigate-nvr/multi-auto.svg" alt="Translation status" />
+</a>
diff --git a/README_CN.md b/README_CN.md
new file mode 100644
index 000000000..07fb5bd59
--- /dev/null
+++ b/README_CN.md
@@ -0,0 +1,70 @@
+<p align="center">
+  <img align="center" alt="logo" src="docs/static/img/frigate.png">
+</p>
+
+# Frigate - 一个具有实时目标检测的本地NVR
+
+[English](https://github.com/blakeblackshear/frigate) | \[简体中文\] 
+
+<a href="https://hosted.weblate.org/engage/frigate-nvr/-/zh_Hans/">
+<img src="https://hosted.weblate.org/widget/frigate-nvr/-/zh_Hans/svg-badge.svg" alt="翻译状态" />
+</a>
+
+一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备AI物体检测功能。使用OpenCV和TensorFlow在本地为IP摄像头执行实时物体检测。
+
+强烈推荐使用GPU或者AI加速器（例如[Google Coral加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)）。它们的性能甚至超过目前的顶级CPU，并且可以以极低的耗电实现更优的性能。
+- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与Home Assistant紧密集成
+- 设计上通过仅在必要时和必要地点寻找物体，最大限度地减少资源使用并最大化性能
+- 大量利用多进程处理，强调实时性而非处理每一帧
+- 使用非常低开销的运动检测来确定运行物体检测的位置
+- 使用TensorFlow进行物体检测，运行在单独的进程中以达到最大FPS
+- 通过MQTT进行通信，便于集成到其他系统中
+- 根据检测到的物体设置保留时间进行视频录制
+- 24/7全天候录制
+- 通过RTSP重新流传输以减少摄像头的连接数
+- 支持WebRTC和MSE，实现低延迟的实时观看
+
+## 社区中文翻译文档
+
+你可以在这里查看文档 https://docs.frigate-cn.video
+
+## 赞助
+
+如果您想通过捐赠支持开发，请使用 [Github Sponsors](https://github.com/sponsors/blakeblackshear)。
+
+## 截图
+
+### 实时监控面板
+<div>
+<img width="800" alt="实时监控面板" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
+</div>
+
+### 简单的核查工作流程
+<div>
+<img width="800" alt="简单的审查工作流程" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
+</div>
+
+### 多摄像头可按时间轴查看
+<div>
+<img width="800" alt="多摄像头可按时间轴查看" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
+</div>
+
+### 内置遮罩和区域编辑器
+<div>
+<img width="800" alt="内置遮罩和区域编辑器" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
+</div>
+
+
+## 翻译
+我们使用 [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) 平台提供翻译支持，欢迎参与进来一起完善。
+
+
+## 非官方中文讨论社区
+欢迎加入中文讨论QQ群：[1043861059](https://qm.qq.com/q/7vQKsTmSz)
+
+Bilibili：https://space.bilibili.com/3546894915602564
+
+
+## 中文社区赞助商
+[![EdgeOne](https://edgeone.ai/media/34fe3a45-492d-4ea4-ae5d-ea1087ca7b4b.png)](https://edgeone.ai/zh?from=github)
+本项目 CDN 加速及安全防护由 Tencent EdgeOne 赞助
diff --git a/benchmark.py b/benchmark.py
index 7db09a5d7..1f39302a7 100755
--- a/benchmark.py
+++ b/benchmark.py
@@ -6,7 +6,7 @@ import numpy as np
 
 import frigate.util as util
 from frigate.config import DetectorTypeEnum
-from frigate.object_detection import (
+from frigate.object_detection.base import (
     ObjectDetectProcess,
     RemoteObjectDetector,
     load_labels,
diff --git a/docker-compose.yml b/docker-compose.yml
index f36880593..db63297d5 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,8 +1,8 @@
-version: "3"
 services:
   devcontainer:
     container_name: frigate-devcontainer
-    # add groups from host for render, plugdev, video
+    # Check host system's actual render/video/plugdev group IDs with 'getent group render', 'getent group video', and 'getent group plugdev'
+    # Must add these exact IDs in container's group_add section or OpenVINO GPU acceleration will fail
     group_add:
       - "109" # render
       - "110" # render
@@ -24,8 +24,8 @@ services:
     #                     capabilities: [gpu]
     environment:
       YOLO_MODELS: ""
-    devices:
-      - /dev/bus/usb:/dev/bus/usb
+    # devices:
+      # - /dev/bus/usb:/dev/bus/usb # Uncomment for Google Coral USB
       # - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
     volumes:
       - .:/workspace/frigate:cached
@@ -33,9 +33,10 @@ services:
       - /etc/localtime:/etc/localtime:ro
       - ./config:/config
       - ./debug:/media/frigate
-      - /dev/bus/usb:/dev/bus/usb
+     # - /dev/bus/usb:/dev/bus/usb # Uncomment for Google Coral USB
   mqtt:
     container_name: mqtt
-    image: eclipse-mosquitto:1.6
+    image: eclipse-mosquitto:2.0
+    command: mosquitto -c /mosquitto-no-auth.conf # enable no-auth mode
     ports:
       - "1883:1883"
diff --git a/docker/hailo8l/Dockerfile b/docker/hailo8l/Dockerfile
deleted file mode 100644
index 959e7692e..000000000
--- a/docker/hailo8l/Dockerfile
+++ /dev/null
@@ -1,40 +0,0 @@
-# syntax=docker/dockerfile:1.6
-
-ARG DEBIAN_FRONTEND=noninteractive
-
-# Build Python wheels
-FROM wheels AS h8l-wheels
-
-COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
-COPY docker/hailo8l/requirements-wheels-h8l.txt /requirements-wheels-h8l.txt
-
-RUN sed -i "/https:\/\//d" /requirements-wheels.txt
-
-# Create a directory to store the built wheels
-RUN mkdir /h8l-wheels
-
-# Build the wheels
-RUN pip3 wheel --wheel-dir=/h8l-wheels -c /requirements-wheels.txt -r /requirements-wheels-h8l.txt
-
-FROM wget AS hailort
-ARG TARGETARCH
-RUN --mount=type=bind,source=docker/hailo8l/install_hailort.sh,target=/deps/install_hailort.sh \
-    /deps/install_hailort.sh
-
-# Use deps as the base image
-FROM deps AS h8l-frigate
-
-# Copy the wheels from the wheels stage
-COPY --from=h8l-wheels /h8l-wheels /deps/h8l-wheels
-COPY --from=hailort /hailo-wheels /deps/hailo-wheels
-COPY --from=hailort /rootfs/ /
-
-# Install the wheels
-RUN pip3 install -U /deps/h8l-wheels/*.whl
-RUN pip3 install -U /deps/hailo-wheels/*.whl
-
-# Copy base files from the rootfs stage
-COPY --from=rootfs / /
-
-# Set workdir
-WORKDIR /opt/frigate/
diff --git a/docker/hailo8l/h8l.hcl b/docker/hailo8l/h8l.hcl
deleted file mode 100644
index 91f6d13c6..000000000
--- a/docker/hailo8l/h8l.hcl
+++ /dev/null
@@ -1,34 +0,0 @@
-target wget {
-  dockerfile = "docker/main/Dockerfile"
-  platforms = ["linux/arm64","linux/amd64"]
-  target = "wget"
-}
-
-target wheels {
-  dockerfile = "docker/main/Dockerfile"
-  platforms = ["linux/arm64","linux/amd64"]
-  target = "wheels"
-}
-
-target deps {
-  dockerfile = "docker/main/Dockerfile"
-  platforms = ["linux/arm64","linux/amd64"]
-  target = "deps"
-}
-
-target rootfs {
-  dockerfile = "docker/main/Dockerfile"
-  platforms = ["linux/arm64","linux/amd64"]
-  target = "rootfs"
-}
-
-target h8l {
-  dockerfile = "docker/hailo8l/Dockerfile"
-  contexts = {
-    wget = "target:wget"
-    wheels = "target:wheels"
-    deps = "target:deps"
-    rootfs = "target:rootfs"
-  }
-  platforms = ["linux/arm64","linux/amd64"]
-}
diff --git a/docker/hailo8l/h8l.mk b/docker/hailo8l/h8l.mk
deleted file mode 100644
index 318771802..000000000
--- a/docker/hailo8l/h8l.mk
+++ /dev/null
@@ -1,15 +0,0 @@
-BOARDS += h8l
-
-local-h8l: version
-	docker buildx bake --file=docker/hailo8l/h8l.hcl h8l \
-		--set h8l.tags=frigate:latest-h8l \
-		--load
-
-build-h8l: version
-	docker buildx bake --file=docker/hailo8l/h8l.hcl h8l \
-		--set h8l.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-h8l
-
-push-h8l: build-h8l
-	docker buildx bake --file=docker/hailo8l/h8l.hcl h8l \
-	 	--set h8l.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-h8l \
-		--push
\ No newline at end of file
diff --git a/docker/hailo8l/install_hailort.sh b/docker/hailo8l/install_hailort.sh
deleted file mode 100755
index 62eba9611..000000000
--- a/docker/hailo8l/install_hailort.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/bash
-
-set -euxo pipefail
-
-hailo_version="4.19.0"
-
-if [[ "${TARGETARCH}" == "amd64" ]]; then
-    arch="x86_64"
-elif [[ "${TARGETARCH}" == "arm64" ]]; then
-    arch="aarch64"
-fi
-
-wget -qO- "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-${TARGETARCH}.tar.gz" |
-    tar -C / -xzf -
-
-mkdir -p /hailo-wheels
-
-wget -P /hailo-wheels/ "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-${hailo_version}-cp39-cp39-linux_${arch}.whl"
-
diff --git a/docker/hailo8l/requirements-wheels-h8l.txt b/docker/hailo8l/requirements-wheels-h8l.txt
deleted file mode 100644
index e125f9e8b..000000000
--- a/docker/hailo8l/requirements-wheels-h8l.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-appdirs==1.4.*
-argcomplete==2.0.*
-contextlib2==0.6.*
-distlib==0.3.*
-filelock==3.8.*
-future==0.18.*
-importlib-metadata==5.1.*
-importlib-resources==5.1.*
-netaddr==0.8.*
-netifaces==0.10.*
-verboselogs==1.7.*
-virtualenv==20.17.*
diff --git a/docker/hailo8l/user_installation.sh b/docker/hailo8l/user_installation.sh
index 2cf44126f..239f81ba0 100644
--- a/docker/hailo8l/user_installation.sh
+++ b/docker/hailo8l/user_installation.sh
@@ -4,6 +4,7 @@
 sudo apt-get update
 sudo apt-get install -y build-essential cmake git wget
 
+hailo_version="4.21.0"
 arch=$(uname -m)
 
 if [[ $arch == "x86_64" ]]; then
@@ -13,7 +14,7 @@ else
 fi
 
 # Clone the HailoRT driver repository
-git clone --depth 1 --branch v4.19.0 https://github.com/hailo-ai/hailort-drivers.git
+git clone --depth 1 --branch v${hailo_version} https://github.com/hailo-ai/hailort-drivers.git
 
 # Build and install the HailoRT driver
 cd hailort-drivers/linux/pcie
diff --git a/docker/main/Dockerfile b/docker/main/Dockerfile
index ef4d82f3a..f58e3d5a9 100644
--- a/docker/main/Dockerfile
+++ b/docker/main/Dockerfile
@@ -3,14 +3,29 @@
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
 
-ARG BASE_IMAGE=debian:11
-ARG SLIM_BASE=debian:11-slim
+# Globally set pip break-system-packages option to avoid having to specify it every time
+ARG PIP_BREAK_SYSTEM_PACKAGES=1
+
+ARG BASE_IMAGE=debian:12
+ARG SLIM_BASE=debian:12-slim
+
+# A hook that allows us to inject commands right after the base images
+ARG BASE_HOOK=
 
 FROM ${BASE_IMAGE} AS base
+ARG PIP_BREAK_SYSTEM_PACKAGES
+ARG BASE_HOOK
 
-FROM --platform=${BUILDPLATFORM} debian:11 AS base_host
+RUN sh -c "$BASE_HOOK"
+
+FROM --platform=${BUILDPLATFORM} debian:12 AS base_host
+ARG PIP_BREAK_SYSTEM_PACKAGES
 
 FROM ${SLIM_BASE} AS slim-base
+ARG PIP_BREAK_SYSTEM_PACKAGES
+ARG BASE_HOOK
+
+RUN sh -c "$BASE_HOOK"
 
 FROM slim-base AS wget
 ARG DEBIAN_FRONTEND
@@ -24,10 +39,7 @@ ARG DEBIAN_FRONTEND
 ENV CCACHE_DIR /root/.ccache
 ENV CCACHE_MAXSIZE 2G
 
-# bind /var/cache/apt to tmpfs to speed up nginx build
-RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
-    --mount=type=bind,source=docker/main/build_nginx.sh,target=/deps/build_nginx.sh \
-    --mount=type=cache,target=/root/.ccache \
+RUN --mount=type=bind,source=docker/main/build_nginx.sh,target=/deps/build_nginx.sh \
     /deps/build_nginx.sh
 
 FROM wget AS sqlite-vec
@@ -43,7 +55,7 @@ RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
 FROM scratch AS go2rtc
 ARG TARGETARCH
 WORKDIR /rootfs/usr/local/go2rtc/bin
-ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.9.2/go2rtc_linux_${TARGETARCH}" go2rtc
+ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.9.9/go2rtc_linux_${TARGETARCH}" go2rtc
 
 FROM wget AS tempio
 ARG TARGETARCH
@@ -66,8 +78,9 @@ COPY docker/main/requirements-ov.txt /requirements-ov.txt
 RUN apt-get -qq update \
     && apt-get -qq install -y wget python3 python3-dev python3-distutils gcc pkg-config libhdf5-dev \
     && wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
+    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
     && python3 get-pip.py "pip" \
-    && pip install -r /requirements-ov.txt
+    && pip3 install -r /requirements-ov.txt
 
 # Get OpenVino Model
 RUN --mount=type=bind,source=docker/main/build_ov_model.py,target=/build_ov_model.py \
@@ -139,24 +152,17 @@ ARG TARGETARCH
 # Use a separate container to build wheels to prevent build dependencies in final image
 RUN apt-get -qq update \
     && apt-get -qq install -y \
-    apt-transport-https \
-    gnupg \
-    wget \
-    # the key fingerprint can be obtained from https://ftp-master.debian.org/keys.html
-    && wget -qO- "https://keyserver.ubuntu.com/pks/lookup?op=get&search=0xA4285295FC7B1A81600062A9605C66F00D6C9793" | \
-    gpg --dearmor > /usr/share/keyrings/debian-archive-bullseye-stable.gpg \
-    && echo "deb [signed-by=/usr/share/keyrings/debian-archive-bullseye-stable.gpg] http://deb.debian.org/debian bullseye main contrib non-free" | \
-    tee /etc/apt/sources.list.d/debian-bullseye-nonfree.list \
+    apt-transport-https wget \
     && apt-get -qq update \
     && apt-get -qq install -y \
-    python3.9 \
-    python3.9-dev \
+    python3.11 \
+    python3.11-dev \
     # opencv dependencies
     build-essential cmake git pkg-config libgtk-3-dev \
     libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
     libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
     gfortran openexr libatlas-base-dev libssl-dev\
-    libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
+    libtbbmalloc2 libtbb-dev libdc1394-dev libopenexr-dev \
     libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
     # sqlite3 dependencies
     tclsh \
@@ -164,10 +170,10 @@ RUN apt-get -qq update \
     gcc gfortran libopenblas-dev liblapack-dev && \
     rm -rf /var/lib/apt/lists/*
 
-# Ensure python3 defaults to python3.9
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
 
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
+    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
     && python3 get-pip.py "pip"
 
 COPY docker/main/requirements.txt /requirements.txt
@@ -180,6 +186,9 @@ RUN /build_pysqlite3.sh
 COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
 RUN pip3 wheel --wheel-dir=/wheels -r /requirements-wheels.txt
 
+# Install HailoRT & Wheels
+RUN --mount=type=bind,source=docker/main/install_hailort.sh,target=/deps/install_hailort.sh \
+    /deps/install_hailort.sh
 
 # Collect deps in a single layer
 FROM scratch AS deps-rootfs
@@ -190,6 +199,7 @@ COPY --from=libusb-build /usr/local/lib /usr/local/lib
 COPY --from=tempio /rootfs/ /
 COPY --from=s6-overlay /rootfs/ /
 COPY --from=models /rootfs/ /
+COPY --from=wheels /rootfs/ /
 COPY docker/main/rootfs/ /
 
 
@@ -214,14 +224,23 @@ ENV TRANSFORMERS_NO_ADVISORY_WARNINGS=1
 # Set OpenCV ffmpeg loglevel to fatal: https://ffmpeg.org/doxygen/trunk/log_8h.html
 ENV OPENCV_FFMPEG_LOGLEVEL=8
 
+# Set HailoRT to disable logging
+ENV HAILORT_LOGGER_PATH=NONE
+
 ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PATH}"
 
 # Install dependencies
 RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
     /deps/install_deps.sh
 
+ENV DEFAULT_FFMPEG_VERSION="7.0"
+ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:5.0"
+
+RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
+    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
+    && python3 get-pip.py "pip"
+
 RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
-    python3 -m pip install --upgrade pip && \
     pip3 install -U /deps/wheels/*.whl
 
 COPY --from=deps-rootfs / /
@@ -241,12 +260,12 @@ ENTRYPOINT ["/init"]
 CMD []
 
 HEALTHCHECK --start-period=300s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
-    CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
+    CMD test -f /dev/shm/.frigate-is-stopping && exit 0; curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
 
 # Frigate deps with Node.js and NPM for devcontainer
 FROM deps AS devcontainer
 
-# Do not start the actual Frigate service on devcontainer as it will be started by VSCode
+# Do not start the actual Frigate service on devcontainer as it will be started by VS Code
 # But start a fake service for simulating the logs
 COPY docker/main/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
 
diff --git a/docker/main/build_nginx.sh b/docker/main/build_nginx.sh
index e97f6bbe0..606682665 100755
--- a/docker/main/build_nginx.sh
+++ b/docker/main/build_nginx.sh
@@ -2,16 +2,22 @@
 
 set -euxo pipefail
 
-NGINX_VERSION="1.25.3"
+NGINX_VERSION="1.27.4"
 VOD_MODULE_VERSION="1.31"
 SECURE_TOKEN_MODULE_VERSION="1.5"
 SET_MISC_MODULE_VERSION="v0.33"
 NGX_DEVEL_KIT_VERSION="v0.3.3"
 
-cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
-sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
-apt-get update
+source /etc/os-release
 
+if [[ "$VERSION_ID" == "12" ]]; then
+    sed -i '/^Types:/s/deb/& deb-src/' /etc/apt/sources.list.d/debian.sources
+else
+    cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
+    sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
+fi
+
+apt-get update
 apt-get -yqq build-dep nginx
 
 apt-get -yqq install --no-install-recommends ca-certificates wget
diff --git a/docker/main/build_ov_model.py b/docker/main/build_ov_model.py
index 9e110ad9f..2888d87a8 100644
--- a/docker/main/build_ov_model.py
+++ b/docker/main/build_ov_model.py
@@ -4,7 +4,7 @@ from openvino.tools import mo
 ov_model = mo.convert_model(
     "/models/ssdlite_mobilenet_v2_coco_2018_05_09/frozen_inference_graph.pb",
     compress_to_fp16=True,
-    transformations_config="/usr/local/lib/python3.9/dist-packages/openvino/tools/mo/front/tf/ssd_v2_support.json",
+    transformations_config="/usr/local/lib/python3.11/dist-packages/openvino/tools/mo/front/tf/ssd_v2_support.json",
     tensorflow_object_detection_api_pipeline_config="/models/ssdlite_mobilenet_v2_coco_2018_05_09/pipeline.config",
     reverse_input_channels=True,
 )
diff --git a/docker/main/build_sqlite_vec.sh b/docker/main/build_sqlite_vec.sh
index 3dc28bcbf..b41f3383d 100755
--- a/docker/main/build_sqlite_vec.sh
+++ b/docker/main/build_sqlite_vec.sh
@@ -4,8 +4,15 @@ set -euxo pipefail
 
 SQLITE_VEC_VERSION="0.1.3"
 
-cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
-sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
+source /etc/os-release
+
+if [[ "$VERSION_ID" == "12" ]]; then
+    sed -i '/^Types:/s/deb/& deb-src/' /etc/apt/sources.list.d/debian.sources
+else
+    cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
+    sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
+fi
+
 apt-get update
 apt-get -yqq build-dep sqlite3 gettext git
 
diff --git a/docker/main/install_deps.sh b/docker/main/install_deps.sh
index 6c32ae168..9684199f8 100755
--- a/docker/main/install_deps.sh
+++ b/docker/main/install_deps.sh
@@ -6,82 +6,66 @@ apt-get -qq update
 
 apt-get -qq install --no-install-recommends -y \
     apt-transport-https \
+    ca-certificates \
     gnupg \
     wget \
     lbzip2 \
     procps vainfo \
     unzip locales tzdata libxml2 xz-utils \
-    python3.9 \
-    python3-pip \
+    python3.11 \
     curl \
     lsof \
     jq \
-    nethogs
+    nethogs \
+    libgl1 \
+    libglib2.0-0 \
+    libusb-1.0.0
 
-# ensure python3 defaults to python3.9
-update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
+update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
 
 mkdir -p -m 600 /root/.gnupg
 
-# add coral repo
-curl -fsSLo - https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
-    gpg --dearmor -o /etc/apt/trusted.gpg.d/google-cloud-packages-archive-keyring.gpg
-echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | tee /etc/apt/sources.list.d/coral-edgetpu.list
-echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections
+# install coral runtime
+wget -q -O /tmp/libedgetpu1-max.deb "https://github.com/feranick/libedgetpu/releases/download/16.0TF2.17.1-1/libedgetpu1-max_16.0tf2.17.1-1.bookworm_${TARGETARCH}.deb"
+unset DEBIAN_FRONTEND
+yes | dpkg -i /tmp/libedgetpu1-max.deb && export DEBIAN_FRONTEND=noninteractive
+rm /tmp/libedgetpu1-max.deb
 
-# enable non-free repo in Debian
-if grep -q "Debian" /etc/issue; then
-    sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
-fi
-
-# coral drivers
-apt-get -qq update
-apt-get -qq install --no-install-recommends --no-install-suggests -y \
-    libedgetpu1-max python3-tflite-runtime python3-pycoral
-
-# btbn-ffmpeg -> amd64
+# ffmpeg -> amd64
 if [[ "${TARGETARCH}" == "amd64" ]]; then
     mkdir -p /usr/lib/ffmpeg/5.0
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
+    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
+    rm -rf ffmpeg.tar.xz
     mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO btbn-ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
-    tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1
-    rm -rf btbn-ffmpeg.tar.xz /usr/lib/ffmpeg/5.0/doc /usr/lib/ffmpeg/5.0/bin/ffplay
-    wget -qO btbn-ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
-    tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1
-    rm -rf btbn-ffmpeg.tar.xz /usr/lib/ffmpeg/7.0/doc /usr/lib/ffmpeg/7.0/bin/ffplay
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
+    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
+    rm -rf ffmpeg.tar.xz
 fi
 
 # ffmpeg -> arm64
 if [[ "${TARGETARCH}" == "arm64" ]]; then
     mkdir -p /usr/lib/ffmpeg/5.0
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
+    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
+    rm -f ffmpeg.tar.xz
     mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO btbn-ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
-    tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1
-    rm -rf btbn-ffmpeg.tar.xz /usr/lib/ffmpeg/5.0/doc /usr/lib/ffmpeg/5.0/bin/ffplay
-    wget -qO btbn-ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
-    tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1
-    rm -rf btbn-ffmpeg.tar.xz /usr/lib/ffmpeg/7.0/doc /usr/lib/ffmpeg/7.0/bin/ffplay
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
+    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
+    rm -f ffmpeg.tar.xz
 fi
 
 # arch specific packages
 if [[ "${TARGETARCH}" == "amd64" ]]; then
-    # use debian bookworm for amd / intel-i965 driver packages
-    echo 'deb https://deb.debian.org/debian bookworm main contrib non-free' >/etc/apt/sources.list.d/debian-bookworm.list
-    apt-get -qq update
+    # install amd / intel-i965 driver packages
     apt-get -qq install --no-install-recommends --no-install-suggests -y \
         i965-va-driver intel-gpu-tools onevpl-tools \
         libva-drm2 \
         mesa-va-drivers radeontop
 
-    # something about this dependency requires it to be installed in a separate call rather than in the line above
-    apt-get -qq install --no-install-recommends --no-install-suggests -y \
-        i965-va-driver-shaders
-
     # intel packages use zst compression so we need to update dpkg
     apt-get install -y dpkg
 
-    rm -f /etc/apt/sources.list.d/debian-bookworm.list
-
     # use intel apt intel packages
     wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
     echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy client" | tee /etc/apt/sources.list.d/intel-gpu-jammy.list
diff --git a/docker/main/install_hailort.sh b/docker/main/install_hailort.sh
new file mode 100755
index 000000000..2e568a14e
--- /dev/null
+++ b/docker/main/install_hailort.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+
+set -euxo pipefail
+
+hailo_version="4.21.0"
+
+if [[ "${TARGETARCH}" == "amd64" ]]; then
+    arch="x86_64"
+elif [[ "${TARGETARCH}" == "arm64" ]]; then
+    arch="aarch64"
+fi
+
+wget -qO- "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-debian12-${TARGETARCH}.tar.gz" | tar -C / -xzf -
+wget -P /wheels/ "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-${hailo_version}-cp311-cp311-linux_${arch}.whl"
diff --git a/docker/main/install_s6_overlay.sh b/docker/main/install_s6_overlay.sh
index 75acba774..3ea387c9b 100755
--- a/docker/main/install_s6_overlay.sh
+++ b/docker/main/install_s6_overlay.sh
@@ -2,7 +2,7 @@
 
 set -euxo pipefail
 
-s6_version="3.1.5.0"
+s6_version="3.2.1.0"
 
 if [[ "${TARGETARCH}" == "amd64" ]]; then
     s6_arch="x86_64"
diff --git a/docker/main/requirements-wheels.txt b/docker/main/requirements-wheels.txt
index 4db88ccd2..2764eca43 100644
--- a/docker/main/requirements-wheels.txt
+++ b/docker/main/requirements-wheels.txt
@@ -1,47 +1,73 @@
+aiofiles == 24.1.*
 click == 8.1.*
 # FastAPI
-aiohttp == 3.11.2
+aiohttp == 3.11.3
 starlette == 0.41.2
 starlette-context == 0.3.6
 fastapi == 0.115.*
 uvicorn == 0.30.*
 slowapi == 0.1.*
-imutils == 0.5.*
 joserfc == 1.0.*
 pathvalidate == 3.2.*
-markupsafe == 2.1.*
+markupsafe == 3.0.*
+python-multipart == 0.0.12
+# General
 mypy == 1.6.1
-numpy == 1.26.*
-onvif_zeep == 0.2.12
-opencv-python-headless == 4.9.0.*
+onvif-zeep-async == 3.1.*
 paho-mqtt == 2.1.*
 pandas == 2.2.*
 peewee == 3.17.*
 peewee_migrate == 1.13.*
 psutil == 6.1.*
-pydantic == 2.8.*
+pydantic == 2.10.*
 git+https://github.com/fbcotter/py3nvml#egg=py3nvml
-pytz == 2024.*
+pytz == 2025.*
 pyzmq == 26.2.*
 ruamel.yaml == 0.18.*
 tzlocal == 5.2
 requests == 2.32.*
 types-requests == 2.32.*
-scipy == 1.13.*
 norfair == 2.2.*
 setproctitle == 1.3.*
 ws4py == 0.5.*
 unidecode == 1.3.*
+titlecase == 2.4.*
+# Image Manipulation
+numpy == 1.26.*
+opencv-python-headless == 4.11.0.*
+opencv-contrib-python == 4.11.0.*
+scipy == 1.14.*
 # OpenVino & ONNX
-openvino == 2024.3.*
-onnxruntime-openvino == 1.19.* ; platform_machine == 'x86_64'
-onnxruntime == 1.19.* ; platform_machine == 'aarch64'
+openvino == 2024.4.*
+onnxruntime-openvino == 1.20.* ; platform_machine == 'x86_64'
+onnxruntime == 1.20.* ; platform_machine == 'aarch64'
 # Embeddings
 transformers == 4.45.*
 # Generative AI
 google-generativeai == 0.8.*
 ollama == 0.3.*
-openai == 1.51.*
+openai == 1.65.*
 # push notifications
 py-vapid == 1.9.*
 pywebpush == 2.0.*
+# alpr
+pyclipper == 1.3.*
+shapely == 2.0.*
+Levenshtein==0.26.*
+# HailoRT Wheels
+appdirs==1.4.*
+argcomplete==2.0.*
+contextlib2==0.6.*
+distlib==0.3.*
+filelock==3.8.*
+future==0.18.*
+importlib-metadata==5.1.*
+importlib-resources==5.1.*
+netaddr==0.8.*
+netifaces==0.10.*
+verboselogs==1.7.*
+virtualenv==20.17.*
+prometheus-client == 0.21.*
+# TFLite
+tflite_runtime @ https://github.com/frigate-nvr/TFlite-builds/releases/download/v2.17.1/tflite_runtime-2.17.1-cp311-cp311-linux_x86_64.whl; platform_machine == 'x86_64'
+tflite_runtime @ https://github.com/feranick/TFlite-builds/releases/download/v2.17.1/tflite_runtime-2.17.1-cp311-cp311-linux_aarch64.whl; platform_machine == 'aarch64'
diff --git a/docker/main/requirements.txt b/docker/main/requirements.txt
index 90780e2b4..3ae420d07 100644
--- a/docker/main/requirements.txt
+++ b/docker/main/requirements.txt
@@ -1,2 +1,2 @@
-scikit-build == 0.17.*
+scikit-build == 0.18.*
 nvidia-pyindex
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run
index e4a1b20e5..9c84c20d5 100755
--- a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run
@@ -4,52 +4,26 @@
 
 set -o errexit -o nounset -o pipefail
 
+# opt out of openvino telemetry
+if [ -e /usr/local/bin/opt_in_out ]; then
+  /usr/local/bin/opt_in_out --opt_out > /dev/null 2>&1
+fi
+
 # Logs should be sent to stdout so that s6 can collect them
 
 # Tell S6-Overlay not to restart this service
 s6-svc -O .
 
-function migrate_db_path() {
-    # Find config file in yaml or yml, but prefer yaml
-    local config_file="${CONFIG_FILE:-"/config/config.yml"}"
-    local config_file_yaml="${config_file//.yml/.yaml}"
-    if [[ -f "${config_file_yaml}" ]]; then
-        config_file="${config_file_yaml}"
-    elif [[ ! -f "${config_file}" ]]; then
-        # Frigate will create the config file on startup
-        return 0
-    fi
-    unset config_file_yaml
-
-    # Use yq to check if database.path is set
-    local user_db_path
-    user_db_path=$(yq eval '.database.path' "${config_file}")
-
-    if [[ "${user_db_path}" == "null" ]]; then
-        local previous_db_path="/media/frigate/frigate.db"
-        local new_db_dir="/config"
-        if [[ -f "${previous_db_path}" ]]; then
-            if mountpoint --quiet "${new_db_dir}"; then
-                # /config is a mount point, move the db
-                echo "[INFO] Moving db from '${previous_db_path}' to the '${new_db_dir}' dir..."
-                # Move all files that starts with frigate.db to the new directory
-                mv -vf "${previous_db_path}"* "${new_db_dir}"
-            else
-                echo "[ERROR] Trying to migrate the db path from '${previous_db_path}' to the '${new_db_dir}' dir, but '${new_db_dir}' is not a mountpoint, please mount the '${new_db_dir}' dir"
-                return 1
-            fi
-        fi
-    fi
-}
-
 function set_libva_version() {
-    local ffmpeg_path=$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)
-    export LIBAVFORMAT_VERSION_MAJOR=$($ffmpeg_path -version | grep -Po "libavformat\W+\K\d+")
+    local ffmpeg_path
+    ffmpeg_path=$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)
+    LIBAVFORMAT_VERSION_MAJOR=$("$ffmpeg_path" -version | grep -Po "libavformat\W+\K\d+")
+    export LIBAVFORMAT_VERSION_MAJOR
 }
 
 echo "[INFO] Preparing Frigate..."
-migrate_db_path
 set_libva_version
+
 echo "[INFO] Starting Frigate..."
 
 cd /opt/frigate || echo "[ERROR] Failed to change working directory to /opt/frigate"
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/dependencies.d/base b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/dependencies.d/prepare
similarity index 100%
rename from docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/dependencies.d/base
rename to docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/dependencies.d/prepare
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
index 90c26ceff..46bc3175f 100755
--- a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
@@ -44,10 +44,14 @@ function get_ip_and_port_from_supervisor() {
 }
 
 function set_libva_version() {
-    local ffmpeg_path=$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)
-    export LIBAVFORMAT_VERSION_MAJOR=$($ffmpeg_path -version | grep -Po "libavformat\W+\K\d+")
+    local ffmpeg_path
+    ffmpeg_path=$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)
+    LIBAVFORMAT_VERSION_MAJOR=$("$ffmpeg_path" -version | grep -Po "libavformat\W+\K\d+")
+    export LIBAVFORMAT_VERSION_MAJOR
 }
 
+set_libva_version
+
 if [[ -f "/dev/shm/go2rtc.yaml" ]]; then
     echo "[INFO] Removing stale config from last run..."
     rm /dev/shm/go2rtc.yaml
@@ -57,7 +61,7 @@ if [[ ! -f "/dev/shm/go2rtc.yaml" ]]; then
     echo "[INFO] Preparing new go2rtc config..."
 
     if [[ -n "${SUPERVISOR_TOKEN:-}" ]]; then
-        # Running as a Home Assistant add-on, infer the IP address and port
+        # Running as a Home Assistant Add-on, infer the IP address and port
         get_ip_and_port_from_supervisor
     fi
 
@@ -66,8 +70,6 @@ else
     echo "[WARNING] Unable to remove existing go2rtc config. Changes made to your frigate config file may not be recognized. Please remove the /dev/shm/go2rtc.yaml from your docker host manually."
 fi
 
-set_libva_version
-
 readonly config_path="/config"
 
 if [[ -x "${config_path}/go2rtc" ]]; then
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/nginx/run b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/nginx/run
index 677126a6d..273182930 100755
--- a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/nginx/run
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/nginx/run
@@ -79,6 +79,11 @@ if [ ! \( -f "$letsencrypt_path/privkey.pem" -a -f "$letsencrypt_path/fullchain.
         -keyout "$letsencrypt_path/privkey.pem" -out "$letsencrypt_path/fullchain.pem" 2>/dev/null
 fi
 
+# build templates for optional FRIGATE_BASE_PATH environment variable
+python3 /usr/local/nginx/get_base_path.py | \
+    tempio -template /usr/local/nginx/templates/base_path.gotmpl \
+       -out /usr/local/nginx/conf/base_path.conf
+
 # build templates for optional TLS support
 python3 /usr/local/nginx/get_tls_settings.py | \
     tempio  -template /usr/local/nginx/templates/listen.gotmpl \
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/dependencies.d/base b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/dependencies.d/base
new file mode 100644
index 000000000..e69de29bb
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/run b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/run
new file mode 100755
index 000000000..27b1d6326
--- /dev/null
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/run
@@ -0,0 +1,146 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Do preparation tasks before starting the main services
+
+set -o errexit -o nounset -o pipefail
+
+function migrate_addon_config_dir() {
+    local home_assistant_config_dir="/homeassistant"
+
+    if ! mountpoint --quiet "${home_assistant_config_dir}"; then
+        # Not running as a Home Assistant Add-on
+        return 0
+    fi
+
+    local config_dir="/config"
+    local new_config_file="${config_dir}/config.yml"
+    local new_config_file_yaml="${new_config_file//.yml/.yaml}"
+    if [[ -f "${new_config_file_yaml}" || -f "${new_config_file}" ]]; then
+        # Already migrated
+        return 0
+    fi
+
+    local old_config_file="${home_assistant_config_dir}/frigate.yml"
+    local old_config_file_yaml="${old_config_file//.yml/.yaml}"
+    if [[ -f "${old_config_file}" ]]; then
+        :
+    elif [[ -f "${old_config_file_yaml}" ]]; then
+        old_config_file="${old_config_file_yaml}"
+        new_config_file="${new_config_file_yaml}"
+    else
+        # Nothing to migrate
+        return 0
+    fi
+    unset old_config_file_yaml new_config_file_yaml
+
+    echo "[INFO] Starting migration from Home Assistant config dir to Add-on config dir..." >&2
+
+    local db_path
+    db_path=$(yq -r '.database.path' "${old_config_file}")
+    if [[ "${db_path}" == "null" ]]; then
+        db_path="${config_dir}/frigate.db"
+    fi
+    if [[ "${db_path}" == "${config_dir}/"* ]]; then
+        # replace /config/ prefix with /homeassistant/
+        local old_db_path="${home_assistant_config_dir}/${db_path:8}"
+
+        if [[ -f "${old_db_path}" ]]; then
+            local new_db_dir
+            new_db_dir="$(dirname "${db_path}")"
+            echo "[INFO] Migrating database from '${old_db_path}' to '${new_db_dir}' dir..." >&2
+            mkdir -vp "${new_db_dir}"
+            mv -vf "${old_db_path}" "${new_db_dir}"
+            local db_file
+            for db_file in "${old_db_path}"-shm "${old_db_path}"-wal; do
+                if [[ -f "${db_file}" ]]; then
+                    mv -vf "${db_file}" "${new_db_dir}"
+                fi
+            done
+            unset db_file
+        fi
+    fi
+
+    local config_entry
+    for config_entry in .model.path .model.labelmap_path .ffmpeg.path .mqtt.tls_ca_certs .mqtt.tls_client_cert .mqtt.tls_client_key; do
+        local config_entry_path
+        config_entry_path=$(yq -r "${config_entry}" "${old_config_file}")
+        if [[ "${config_entry_path}" == "${config_dir}/"* ]]; then
+            # replace /config/ prefix with /homeassistant/
+            local old_config_entry_path="${home_assistant_config_dir}/${config_entry_path:8}"
+
+            if [[ -f "${old_config_entry_path}" ]]; then
+                local new_config_entry_entry
+                new_config_entry_entry="$(dirname "${config_entry_path}")"
+                echo "[INFO] Migrating ${config_entry} from '${old_config_entry_path}' to '${config_entry_path}'..." >&2
+                mkdir -vp "${new_config_entry_entry}"
+                mv -vf "${old_config_entry_path}" "${config_entry_path}"
+            fi
+        fi
+    done
+
+    local old_model_cache_path="${home_assistant_config_dir}/model_cache"
+    if [[ -d "${old_model_cache_path}" ]]; then
+        echo "[INFO] Migrating '${old_model_cache_path}' to '${config_dir}'..." >&2
+        mv -f "${old_model_cache_path}" "${config_dir}"
+    fi
+
+    echo "[INFO] Migrating other files from '${home_assistant_config_dir}' to '${config_dir}'..." >&2
+    local file
+    for file in .exports .jwt_secret .timeline .vacuum go2rtc; do
+        file="${home_assistant_config_dir}/${file}"
+        if [[ -f "${file}" ]]; then
+            mv -vf "${file}" "${config_dir}"
+        fi
+    done
+
+    echo "[INFO] Migrating config file from '${old_config_file}' to '${new_config_file}'..." >&2
+    mv -vf "${old_config_file}" "${new_config_file}"
+
+    echo "[INFO] Migration from Home Assistant config dir to Add-on config dir completed." >&2
+}
+
+function migrate_db_from_media_to_config() {
+    # Find config file in yml or yaml, but prefer yml
+    local config_file="${CONFIG_FILE:-"/config/config.yml"}"
+    local config_file_yaml="${config_file//.yml/.yaml}"
+    if [[ -f "${config_file}" ]]; then
+        :
+    elif [[ -f "${config_file_yaml}" ]]; then
+        config_file="${config_file_yaml}"
+    else
+        # Frigate will create the config file on startup
+        return 0
+    fi
+    unset config_file_yaml
+
+    local user_db_path
+    user_db_path=$(yq -r '.database.path' "${config_file}")
+    if [[ "${user_db_path}" == "null" ]]; then
+        local old_db_path="/media/frigate/frigate.db"
+        local new_db_dir="/config"
+        if [[ -f "${old_db_path}" ]]; then
+            echo "[INFO] Migrating database from '${old_db_path}' to '${new_db_dir}' dir..." >&2
+            if mountpoint --quiet "${new_db_dir}"; then
+                # /config is a mount point, move the db
+                mv -vf "${old_db_path}" "${new_db_dir}"
+                local db_file
+                for db_file in "${old_db_path}"-shm "${old_db_path}"-wal; do
+                    if [[ -f "${db_file}" ]]; then
+                        mv -vf "${db_file}" "${new_db_dir}"
+                    fi
+                done
+                unset db_file
+            else
+                echo "[ERROR] Trying to migrate the database path from '${old_db_path}' to '${new_db_dir}' dir, but '${new_db_dir}' is not a mountpoint, please mount the '${new_db_dir}' dir" >&2
+                return 1
+            fi
+        fi
+    fi
+}
+
+# remove leftover from last run, not normally needed, but just in case
+# used by the docker healthcheck
+rm -f /dev/shm/.frigate-is-stopping
+
+migrate_addon_config_dir
+migrate_db_from_media_to_config
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/type b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/type
new file mode 100644
index 000000000..bdd22a185
--- /dev/null
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/type
@@ -0,0 +1 @@
+oneshot
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/up b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/up
new file mode 100644
index 000000000..ea17af548
--- /dev/null
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/prepare/up
@@ -0,0 +1 @@
+/etc/s6-overlay/s6-rc.d/prepare/run
diff --git a/docker/main/rootfs/usr/local/ffmpeg/get_ffmpeg_path.py b/docker/main/rootfs/usr/local/ffmpeg/get_ffmpeg_path.py
index 27034bff9..0f492cc5c 100644
--- a/docker/main/rootfs/usr/local/ffmpeg/get_ffmpeg_path.py
+++ b/docker/main/rootfs/usr/local/ffmpeg/get_ffmpeg_path.py
@@ -1,7 +1,6 @@
 import json
-import os
-import shutil
 import sys
+from typing import Any
 
 from ruamel.yaml import YAML
 
@@ -10,35 +9,28 @@ from frigate.const import (
     DEFAULT_FFMPEG_VERSION,
     INCLUDED_FFMPEG_VERSIONS,
 )
+from frigate.util.config import find_config_file
 
 sys.path.remove("/opt/frigate")
 
 yaml = YAML()
 
-config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
-
-# Check if we can use .yaml instead of .yml
-config_file_yaml = config_file.replace(".yml", ".yaml")
-if os.path.isfile(config_file_yaml):
-    config_file = config_file_yaml
+config_file = find_config_file()
 
 try:
     with open(config_file) as f:
         raw_config = f.read()
 
     if config_file.endswith((".yaml", ".yml")):
-        config: dict[str, any] = yaml.load(raw_config)
+        config: dict[str, Any] = yaml.load(raw_config)
     elif config_file.endswith(".json"):
-        config: dict[str, any] = json.loads(raw_config)
+        config: dict[str, Any] = json.loads(raw_config)
 except FileNotFoundError:
-    config: dict[str, any] = {}
+    config: dict[str, Any] = {}
 
 path = config.get("ffmpeg", {}).get("path", "default")
 if path == "default":
-    if shutil.which("ffmpeg") is None:
-        print(f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg")
-    else:
-        print("ffmpeg")
+    print(f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg")
 elif path in INCLUDED_FFMPEG_VERSIONS:
     print(f"/usr/lib/ffmpeg/{path}/bin/ffmpeg")
 else:
diff --git a/docker/main/rootfs/usr/local/go2rtc/create_config.py b/docker/main/rootfs/usr/local/go2rtc/create_config.py
index 1038af64c..1b44a8067 100644
--- a/docker/main/rootfs/usr/local/go2rtc/create_config.py
+++ b/docker/main/rootfs/usr/local/go2rtc/create_config.py
@@ -2,9 +2,9 @@
 
 import json
 import os
-import shutil
 import sys
 from pathlib import Path
+from typing import Any
 
 from ruamel.yaml import YAML
 
@@ -13,8 +13,10 @@ from frigate.const import (
     BIRDSEYE_PIPE,
     DEFAULT_FFMPEG_VERSION,
     INCLUDED_FFMPEG_VERSIONS,
+    LIBAVFORMAT_VERSION_MAJOR,
 )
 from frigate.ffmpeg_presets import parse_preset_hardware_acceleration_encode
+from frigate.util.config import find_config_file
 
 sys.path.remove("/opt/frigate")
 
@@ -29,25 +31,20 @@ if os.path.isdir("/run/secrets"):
                 Path(os.path.join("/run/secrets", secret_file)).read_text().strip()
             )
 
-config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
-
-# Check if we can use .yaml instead of .yml
-config_file_yaml = config_file.replace(".yml", ".yaml")
-if os.path.isfile(config_file_yaml):
-    config_file = config_file_yaml
+config_file = find_config_file()
 
 try:
     with open(config_file) as f:
         raw_config = f.read()
 
     if config_file.endswith((".yaml", ".yml")):
-        config: dict[str, any] = yaml.load(raw_config)
+        config: dict[str, Any] = yaml.load(raw_config)
     elif config_file.endswith(".json"):
-        config: dict[str, any] = json.loads(raw_config)
+        config: dict[str, Any] = json.loads(raw_config)
 except FileNotFoundError:
-    config: dict[str, any] = {}
+    config: dict[str, Any] = {}
 
-go2rtc_config: dict[str, any] = config.get("go2rtc", {})
+go2rtc_config: dict[str, Any] = config.get("go2rtc", {})
 
 # Need to enable CORS for go2rtc so the frigate integration / card work automatically
 if go2rtc_config.get("api") is None:
@@ -57,7 +54,7 @@ elif go2rtc_config["api"].get("origin") is None:
 
 # Need to set default location for HA config
 if go2rtc_config.get("hass") is None:
-    go2rtc_config["hass"] = {"config": "/config"}
+    go2rtc_config["hass"] = {"config": "/homeassistant"}
 
 # we want to ensure that logs are easy to read
 if go2rtc_config.get("log") is None:
@@ -66,56 +63,34 @@ elif go2rtc_config["log"].get("format") is None:
     go2rtc_config["log"]["format"] = "text"
 
 # ensure there is a default webrtc config
-if not go2rtc_config.get("webrtc"):
+if go2rtc_config.get("webrtc") is None:
     go2rtc_config["webrtc"] = {}
 
-# go2rtc should listen on 8555 tcp & udp by default
-if not go2rtc_config["webrtc"].get("listen"):
-    go2rtc_config["webrtc"]["listen"] = ":8555"
-
-if not go2rtc_config["webrtc"].get("candidates", []):
+if go2rtc_config["webrtc"].get("candidates") is None:
     default_candidates = []
     # use internal candidate if it was discovered when running through the add-on
-    internal_candidate = os.environ.get(
-        "FRIGATE_GO2RTC_WEBRTC_CANDIDATE_INTERNAL", None
-    )
+    internal_candidate = os.environ.get("FRIGATE_GO2RTC_WEBRTC_CANDIDATE_INTERNAL")
     if internal_candidate is not None:
         default_candidates.append(internal_candidate)
     # should set default stun server so webrtc can work
     default_candidates.append("stun:8555")
 
-    go2rtc_config["webrtc"] = {"candidates": default_candidates}
-else:
-    print(
-        "[INFO] Not injecting WebRTC candidates into go2rtc config as it has been set manually",
+    go2rtc_config["webrtc"]["candidates"] = default_candidates
+
+if go2rtc_config.get("rtsp", {}).get("username") is not None:
+    go2rtc_config["rtsp"]["username"] = go2rtc_config["rtsp"]["username"].format(
+        **FRIGATE_ENV_VARS
     )
 
-# sets default RTSP response to be equivalent to ?video=h264,h265&audio=aac
-# this means user does not need to specify audio codec when using restream
-# as source for frigate and the integration supports HLS playback
-if go2rtc_config.get("rtsp") is None:
-    go2rtc_config["rtsp"] = {"default_query": "mp4"}
-else:
-    if go2rtc_config["rtsp"].get("default_query") is None:
-        go2rtc_config["rtsp"]["default_query"] = "mp4"
-
-    if go2rtc_config["rtsp"].get("username") is not None:
-        go2rtc_config["rtsp"]["username"] = go2rtc_config["rtsp"]["username"].format(
-            **FRIGATE_ENV_VARS
-        )
-
-    if go2rtc_config["rtsp"].get("password") is not None:
-        go2rtc_config["rtsp"]["password"] = go2rtc_config["rtsp"]["password"].format(
-            **FRIGATE_ENV_VARS
-        )
+if go2rtc_config.get("rtsp", {}).get("password") is not None:
+    go2rtc_config["rtsp"]["password"] = go2rtc_config["rtsp"]["password"].format(
+        **FRIGATE_ENV_VARS
+    )
 
 # ensure ffmpeg path is set correctly
 path = config.get("ffmpeg", {}).get("path", "default")
 if path == "default":
-    if shutil.which("ffmpeg") is None:
-        ffmpeg_path = f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
-    else:
-        ffmpeg_path = "ffmpeg"
+    ffmpeg_path = f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
 elif path in INCLUDED_FFMPEG_VERSIONS:
     ffmpeg_path = f"/usr/lib/ffmpeg/{path}/bin/ffmpeg"
 else:
@@ -127,14 +102,12 @@ elif go2rtc_config["ffmpeg"].get("bin") is None:
     go2rtc_config["ffmpeg"]["bin"] = ffmpeg_path
 
 # need to replace ffmpeg command when using ffmpeg4
-if int(os.environ.get("LIBAVFORMAT_VERSION_MAJOR", "59") or "59") < 59:
-    if go2rtc_config["ffmpeg"].get("rtsp") is None:
-        go2rtc_config["ffmpeg"]["rtsp"] = (
-            "-fflags nobuffer -flags low_delay -stimeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_transport tcp -i {input}"
-        )
-else:
+if LIBAVFORMAT_VERSION_MAJOR < 59:
+    rtsp_args = "-fflags nobuffer -flags low_delay -stimeout 10000000 -user_agent go2rtc/ffmpeg -rtsp_transport tcp -i {input}"
     if go2rtc_config.get("ffmpeg") is None:
-        go2rtc_config["ffmpeg"] = {"path": ""}
+        go2rtc_config["ffmpeg"] = {"rtsp": rtsp_args}
+    elif go2rtc_config["ffmpeg"].get("rtsp") is None:
+        go2rtc_config["ffmpeg"]["rtsp"] = rtsp_args
 
 for name in go2rtc_config.get("streams", {}):
     stream = go2rtc_config["streams"][name]
@@ -162,7 +135,7 @@ for name in go2rtc_config.get("streams", {}):
 
 # add birdseye restream stream if enabled
 if config.get("birdseye", {}).get("restream", False):
-    birdseye: dict[str, any] = config.get("birdseye")
+    birdseye: dict[str, Any] = config.get("birdseye")
 
     input = f"-f rawvideo -pix_fmt yuv420p -video_size {birdseye.get('width', 1280)}x{birdseye.get('height', 720)} -r 10 -i {BIRDSEYE_PIPE}"
     ffmpeg_cmd = f"exec:{parse_preset_hardware_acceleration_encode(ffmpeg_path, config.get('ffmpeg', {}).get('hwaccel_args', ''), input, '-rtsp_transport tcp -f rtsp {output}')}"
diff --git a/docker/main/rootfs/usr/local/nginx/conf/auth_request.conf b/docker/main/rootfs/usr/local/nginx/conf/auth_request.conf
index b054a6b97..9e745b6dc 100644
--- a/docker/main/rootfs/usr/local/nginx/conf/auth_request.conf
+++ b/docker/main/rootfs/usr/local/nginx/conf/auth_request.conf
@@ -1,14 +1,16 @@
 ## Send a subrequest to verify if the user is authenticated and has permission to access the resource.
 auth_request /auth;
 
-## Save the upstream metadata response headers from Authelia to variables.
+## Save the upstream metadata response headers from the auth request to variables
 auth_request_set $user $upstream_http_remote_user;
+auth_request_set $role $upstream_http_remote_role;
 auth_request_set $groups $upstream_http_remote_groups;
 auth_request_set $name $upstream_http_remote_name;
 auth_request_set $email $upstream_http_remote_email;
 
 ## Inject the metadata response headers from the variables into the request made to the backend.
 proxy_set_header Remote-User $user;
+proxy_set_header Remote-Role $role;
 proxy_set_header Remote-Groups $groups;
 proxy_set_header Remote-Email $email;
 proxy_set_header Remote-Name $name;
diff --git a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
index 75527bf53..c855fb926 100644
--- a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
+++ b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
@@ -30,7 +30,7 @@ http {
 
     gzip on;
     gzip_comp_level 6;
-    gzip_types text/plain text/css application/json application/x-javascript application/javascript text/javascript image/svg+xml image/x-icon image/bmp image/png image/gif image/jpeg image/jpg;
+    gzip_types text/plain text/css application/json application/x-javascript application/javascript text/javascript image/svg+xml image/x-icon image/bmp;
     gzip_proxied no-cache no-store private expired auth;
     gzip_vary on;
 
@@ -81,6 +81,9 @@ http {
         open_file_cache_errors on;
         aio on;
 
+        # file upload size
+        client_max_body_size 20M;
+
         # https://github.com/kaltura/nginx-vod-module#vod_open_file_thread_pool
         vod_open_file_thread_pool default;
 
@@ -93,6 +96,7 @@ http {
         gzip_types application/vnd.apple.mpegurl;
 
         include auth_location.conf;
+        include base_path.conf;
 
         location /vod/ {
             include auth_request.conf;
@@ -106,6 +110,14 @@ http {
             expires off;
 
             keepalive_disable safari;
+
+            # vod module returns 502 for non-existent media
+            # https://github.com/kaltura/nginx-vod-module/issues/468
+            error_page 502 =404 /vod-not-found;
+        }
+
+        location = /vod-not-found {
+            return 404;
         }
 
         location /stream/ {
@@ -288,11 +300,29 @@ http {
                 add_header Cache-Control "public";
             }
 
+            location /locales/ {
+                access_log off;
+                add_header Cache-Control "public";
+            }
+
+            location ~ ^/.*-([A-Za-z0-9]+)\.webmanifest$ {
+                access_log off;
+                expires 1y;
+                add_header Cache-Control "public";
+                default_type application/json;
+                proxy_set_header Accept-Encoding "";
+                sub_filter_once off;
+                sub_filter_types application/json;
+                sub_filter '"start_url": "/BASE_PATH/"' '"start_url" : "$http_x_ingress_path/"';
+                sub_filter '"src": "/BASE_PATH/' '"src": "$http_x_ingress_path/';
+            }
+
             sub_filter 'href="/BASE_PATH/' 'href="$http_x_ingress_path/';
             sub_filter 'url(/BASE_PATH/' 'url($http_x_ingress_path/';
             sub_filter '"/BASE_PATH/dist/' '"$http_x_ingress_path/dist/';
             sub_filter '"/BASE_PATH/js/' '"$http_x_ingress_path/js/';
             sub_filter '"/BASE_PATH/assets/' '"$http_x_ingress_path/assets/';
+            sub_filter '"/BASE_PATH/locales/' '"$http_x_ingress_path/locales/';
             sub_filter '"/BASE_PATH/monacoeditorwork/' '"$http_x_ingress_path/assets/';
             sub_filter 'return"/BASE_PATH/"' 'return window.baseUrl';
             sub_filter '<body>' '<body><script>window.baseUrl="$http_x_ingress_path/";</script>';
diff --git a/docker/main/rootfs/usr/local/nginx/get_base_path.py b/docker/main/rootfs/usr/local/nginx/get_base_path.py
new file mode 100644
index 000000000..2e78a7de9
--- /dev/null
+++ b/docker/main/rootfs/usr/local/nginx/get_base_path.py
@@ -0,0 +1,11 @@
+"""Prints the base path as json to stdout."""
+
+import json
+import os
+from typing import Any
+
+base_path = os.environ.get("FRIGATE_BASE_PATH", "")
+
+result: dict[str, Any] = {"base_path": base_path}
+
+print(json.dumps(result))
diff --git a/docker/main/rootfs/usr/local/nginx/get_tls_settings.py b/docker/main/rootfs/usr/local/nginx/get_tls_settings.py
index f1a4c85de..d2e704056 100644
--- a/docker/main/rootfs/usr/local/nginx/get_tls_settings.py
+++ b/docker/main/rootfs/usr/local/nginx/get_tls_settings.py
@@ -1,30 +1,31 @@
 """Prints the tls config as json to stdout."""
 
 import json
-import os
+import sys
+from typing import Any
 
 from ruamel.yaml import YAML
 
+sys.path.insert(0, "/opt/frigate")
+from frigate.util.config import find_config_file
+
+sys.path.remove("/opt/frigate")
+
 yaml = YAML()
 
-config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
-
-# Check if we can use .yaml instead of .yml
-config_file_yaml = config_file.replace(".yml", ".yaml")
-if os.path.isfile(config_file_yaml):
-    config_file = config_file_yaml
+config_file = find_config_file()
 
 try:
     with open(config_file) as f:
         raw_config = f.read()
 
     if config_file.endswith((".yaml", ".yml")):
-        config: dict[str, any] = yaml.load(raw_config)
+        config: dict[str, Any] = yaml.load(raw_config)
     elif config_file.endswith(".json"):
-        config: dict[str, any] = json.loads(raw_config)
+        config: dict[str, Any] = json.loads(raw_config)
 except FileNotFoundError:
-    config: dict[str, any] = {}
+    config: dict[str, Any] = {}
 
-tls_config: dict[str, any] = config.get("tls", {"enabled": True})
+tls_config: dict[str, Any] = config.get("tls", {"enabled": True})
 
 print(json.dumps(tls_config))
diff --git a/docker/main/rootfs/usr/local/nginx/templates/base_path.gotmpl b/docker/main/rootfs/usr/local/nginx/templates/base_path.gotmpl
new file mode 100644
index 000000000..ace4443ee
--- /dev/null
+++ b/docker/main/rootfs/usr/local/nginx/templates/base_path.gotmpl
@@ -0,0 +1,19 @@
+{{ if .base_path }}
+location = {{ .base_path }} {
+    return 302 {{ .base_path }}/;
+}
+
+location ^~ {{ .base_path }}/ {
+    # remove base_url from the path before passing upstream
+    rewrite ^{{ .base_path }}/(.*) /$1 break;
+
+    proxy_pass $scheme://127.0.0.1:8971;
+    proxy_http_version 1.1;
+    proxy_set_header Upgrade $http_upgrade;
+    proxy_set_header Connection "upgrade";
+    proxy_set_header Host $host;
+    proxy_set_header X-Ingress-Path {{ .base_path }};
+
+    access_log off;
+}
+{{ end }}
diff --git a/docker/rockchip/COCO/coco_subset_20.txt b/docker/rockchip/COCO/coco_subset_20.txt
new file mode 100644
index 000000000..aa372fe7a
--- /dev/null
+++ b/docker/rockchip/COCO/coco_subset_20.txt
@@ -0,0 +1,20 @@
+./subset/000000005001.jpg
+./subset/000000038829.jpg
+./subset/000000052891.jpg
+./subset/000000075612.jpg
+./subset/000000098261.jpg
+./subset/000000181542.jpg
+./subset/000000215245.jpg
+./subset/000000277005.jpg
+./subset/000000288685.jpg
+./subset/000000301421.jpg
+./subset/000000334371.jpg
+./subset/000000348481.jpg
+./subset/000000373353.jpg
+./subset/000000397681.jpg
+./subset/000000414673.jpg
+./subset/000000419312.jpg
+./subset/000000465822.jpg
+./subset/000000475732.jpg
+./subset/000000559707.jpg
+./subset/000000574315.jpg
\ No newline at end of file
diff --git a/docker/rockchip/COCO/subset/000000005001.jpg b/docker/rockchip/COCO/subset/000000005001.jpg
new file mode 100644
index 000000000..a7d4437ec
Binary files /dev/null and b/docker/rockchip/COCO/subset/000000005001.jpg differ
diff --git a/docker/rockchip/COCO/subset/000000038829.jpg b/docker/rockchip/COCO/subset/000000038829.jpg
new file mode 100644
index 000000000..f275500e8
Binary files /dev/null and b/docker/rockchip/COCO/subset/000000038829.jpg differ
diff --git a/docker/rockchip/COCO/subset/000000052891.jpg b/docker/rockchip/COCO/subset/000000052891.jpg
new file mode 100644
index 000000000..57344ef00
Binary files /dev/null and b/docker/rockchip/COCO/subset/000000052891.jpg differ
diff --git a/docker/rockchip/COCO/subset/000000075612.jpg b/docker/rockchip/COCO/subset/000000075612.jpg
new file mode 100644
index 000000000..16555e4b6
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new file mode 100644
index 000000000..3510d113a
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diff --git a/docker/rockchip/COCO/subset/000000475732.jpg b/docker/rockchip/COCO/subset/000000475732.jpg
new file mode 100644
index 000000000..51d96851b
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diff --git a/docker/rockchip/COCO/subset/000000559707.jpg b/docker/rockchip/COCO/subset/000000559707.jpg
new file mode 100644
index 000000000..4811ef1c2
Binary files /dev/null and b/docker/rockchip/COCO/subset/000000559707.jpg differ
diff --git a/docker/rockchip/COCO/subset/000000574315.jpg b/docker/rockchip/COCO/subset/000000574315.jpg
new file mode 100644
index 000000000..ad06b6dba
Binary files /dev/null and b/docker/rockchip/COCO/subset/000000574315.jpg differ
diff --git a/docker/rockchip/Dockerfile b/docker/rockchip/Dockerfile
index 1373a6faf..668250439 100644
--- a/docker/rockchip/Dockerfile
+++ b/docker/rockchip/Dockerfile
@@ -3,25 +3,35 @@
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
 
+# Globally set pip break-system-packages option to avoid having to specify it every time
+ARG PIP_BREAK_SYSTEM_PACKAGES=1
+
 FROM wheels as rk-wheels
 COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
 COPY docker/rockchip/requirements-wheels-rk.txt /requirements-wheels-rk.txt
 RUN sed -i "/https:\/\//d" /requirements-wheels.txt
+RUN sed -i "/onnxruntime/d" /requirements-wheels.txt
 RUN pip3 wheel --wheel-dir=/rk-wheels -c /requirements-wheels.txt -r /requirements-wheels-rk.txt
+RUN rm -rf /rk-wheels/opencv_python-*
+RUN rm -rf /rk-wheels/torch-*
 
 FROM deps AS rk-frigate
 ARG TARGETARCH
+ARG PIP_BREAK_SYSTEM_PACKAGES
 
 RUN --mount=type=bind,from=rk-wheels,source=/rk-wheels,target=/deps/rk-wheels \
-    pip3 install -U /deps/rk-wheels/*.whl
+    pip3 install --no-deps -U /deps/rk-wheels/*.whl
 
 WORKDIR /opt/frigate/
 COPY --from=rootfs / /
+COPY docker/rockchip/COCO /COCO
+COPY docker/rockchip/conv2rknn.py /opt/conv2rknn.py
 
-ADD https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.0.0/librknnrt.so /usr/lib/
+ADD https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.2/librknnrt.so /usr/lib/
 
-RUN rm -rf /usr/lib/btbn-ffmpeg/bin/ffmpeg
-RUN rm -rf /usr/lib/btbn-ffmpeg/bin/ffprobe
-ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-7/ffmpeg /usr/lib/ffmpeg/6.0/bin/
-ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-7/ffprobe /usr/lib/ffmpeg/6.0/bin/
-ENV PATH="/usr/lib/ffmpeg/6.0/bin/:${PATH}"
+ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-11/ffmpeg /usr/lib/ffmpeg/6.0/bin/
+ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/6.1-11/ffprobe /usr/lib/ffmpeg/6.0/bin/
+ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/7.1-1/ffmpeg /usr/lib/ffmpeg/7.0/bin/
+ADD --chmod=111 https://github.com/MarcA711/Rockchip-FFmpeg-Builds/releases/download/7.1-1/ffprobe /usr/lib/ffmpeg/7.0/bin/
+ENV DEFAULT_FFMPEG_VERSION="6.0"
+ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:${INCLUDED_FFMPEG_VERSIONS}"
diff --git a/docker/rockchip/conv2rknn.py b/docker/rockchip/conv2rknn.py
new file mode 100644
index 000000000..4880d9868
--- /dev/null
+++ b/docker/rockchip/conv2rknn.py
@@ -0,0 +1,82 @@
+import os
+
+import rknn
+import yaml
+from rknn.api import RKNN
+
+try:
+    with open(rknn.__path__[0] + "/VERSION") as file:
+        tk_version = file.read().strip()
+except FileNotFoundError:
+    pass
+
+try:
+    with open("/config/conv2rknn.yaml", "r") as config_file:
+        configuration = yaml.safe_load(config_file)
+except FileNotFoundError:
+    raise Exception("Please place a config file at /config/conv2rknn.yaml")
+
+if configuration["config"] != None:
+    rknn_config = configuration["config"]
+else:
+    rknn_config = {}
+
+if not os.path.isdir("/config/model_cache/rknn_cache/onnx"):
+    raise Exception(
+        "Place the onnx models you want to convert to rknn format in /config/model_cache/rknn_cache/onnx"
+    )
+
+if "soc" not in configuration:
+    try:
+        with open("/proc/device-tree/compatible") as file:
+            soc = file.read().split(",")[-1].strip("\x00")
+    except FileNotFoundError:
+        raise Exception("Make sure to run docker in privileged mode.")
+
+    configuration["soc"] = [
+        soc,
+    ]
+
+if "quantization" not in configuration:
+    configuration["quantization"] = False
+
+if "output_name" not in configuration:
+    configuration["output_name"] = "{{input_basename}}"
+
+for input_filename in os.listdir("/config/model_cache/rknn_cache/onnx"):
+    for soc in configuration["soc"]:
+        quant = "i8" if configuration["quantization"] else "fp16"
+
+        input_path = "/config/model_cache/rknn_cache/onnx/" + input_filename
+        input_basename = input_filename[: input_filename.rfind(".")]
+
+        output_filename = (
+            configuration["output_name"].format(
+                quant=quant,
+                input_basename=input_basename,
+                soc=soc,
+                tk_version=tk_version,
+            )
+            + ".rknn"
+        )
+        output_path = "/config/model_cache/rknn_cache/" + output_filename
+
+        rknn_config["target_platform"] = soc
+
+        rknn = RKNN(verbose=True)
+        rknn.config(**rknn_config)
+
+        if rknn.load_onnx(model=input_path) != 0:
+            raise Exception("Error loading model.")
+
+        if (
+            rknn.build(
+                do_quantization=configuration["quantization"],
+                dataset="/COCO/coco_subset_20.txt",
+            )
+            != 0
+        ):
+            raise Exception("Error building model.")
+
+        if rknn.export_rknn(output_path) != 0:
+            raise Exception("Error exporting rknn model.")
diff --git a/docker/rockchip/requirements-wheels-rk.txt b/docker/rockchip/requirements-wheels-rk.txt
index c56b69b66..f841f26db 100644
--- a/docker/rockchip/requirements-wheels-rk.txt
+++ b/docker/rockchip/requirements-wheels-rk.txt
@@ -1 +1,2 @@
-rknn-toolkit-lite2 @ https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.0.0/rknn_toolkit_lite2-2.0.0b0-cp39-cp39-linux_aarch64.whl
\ No newline at end of file
+rknn-toolkit2 == 2.3.2
+rknn-toolkit-lite2 == 2.3.2
\ No newline at end of file
diff --git a/docker/rocm/Dockerfile b/docker/rocm/Dockerfile
index eebe04878..7cac69eef 100644
--- a/docker/rocm/Dockerfile
+++ b/docker/rocm/Dockerfile
@@ -2,77 +2,49 @@
 
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
-ARG ROCM=5.7.3
+ARG ROCM=6.3.3
 ARG AMDGPU=gfx900
 ARG HSA_OVERRIDE_GFX_VERSION
 ARG HSA_OVERRIDE
 
 #######################################################################
-FROM ubuntu:focal as rocm
+FROM wget AS rocm
 
 ARG ROCM
+ARG AMDGPU
 
-RUN apt-get update && apt-get -y upgrade
-RUN apt-get -y install gnupg wget
-
-RUN mkdir --parents --mode=0755 /etc/apt/keyrings
-
-RUN wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | tee /etc/apt/keyrings/rocm.gpg > /dev/null
-COPY docker/rocm/rocm.list /etc/apt/sources.list.d/
-COPY docker/rocm/rocm-pin-600 /etc/apt/preferences.d/
-
-RUN apt-get update
-
-RUN apt-get -y install --no-install-recommends migraphx hipfft roctracer
-RUN apt-get -y install --no-install-recommends migraphx-dev
+RUN apt update && \
+    apt install -y wget gpg && \
+    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/$ROCM/ubuntu/jammy/amdgpu-install_6.3.60303-1_all.deb && \
+    apt install -y ./rocm.deb && \
+    apt update && \
+    apt install -y rocm
 
 RUN mkdir -p /opt/rocm-dist/opt/rocm-$ROCM/lib
-RUN cd /opt/rocm-$ROCM/lib && cp -dpr libMIOpen*.so* libamd*.so* libhip*.so* libhsa*.so* libmigraphx*.so* librocm*.so* librocblas*.so* libroctracer*.so* librocfft*.so* /opt/rocm-dist/opt/rocm-$ROCM/lib/
+RUN cd /opt/rocm-$ROCM/lib && \
+    cp -dpr libMIOpen*.so* libamd*.so* libhip*.so* libhsa*.so* libmigraphx*.so* librocm*.so* librocblas*.so* libroctracer*.so* librocsolver*.so* librocfft*.so* librocprofiler*.so* libroctx*.so* /opt/rocm-dist/opt/rocm-$ROCM/lib/ && \
+    mkdir -p /opt/rocm-dist/opt/rocm-$ROCM/lib/migraphx/lib && \
+    cp -dpr migraphx/lib/* /opt/rocm-dist/opt/rocm-$ROCM/lib/migraphx/lib
 RUN cd /opt/rocm-dist/opt/ && ln -s rocm-$ROCM rocm
 
 RUN mkdir -p /opt/rocm-dist/etc/ld.so.conf.d/
 RUN echo /opt/rocm/lib|tee /opt/rocm-dist/etc/ld.so.conf.d/rocm.conf
 
-#######################################################################
-FROM --platform=linux/amd64 debian:11 as debian-base
-
-RUN apt-get update && apt-get -y upgrade
-RUN apt-get -y install --no-install-recommends libelf1 libdrm2 libdrm-amdgpu1 libnuma1 kmod
-
-RUN apt-get -y install python3
-
-#######################################################################
-# ROCm does not come with migraphx wrappers for python 3.9, so we build it here
-FROM debian-base as debian-build
-
-ARG ROCM
-
-COPY --from=rocm /opt/rocm-$ROCM /opt/rocm-$ROCM
-RUN ln -s /opt/rocm-$ROCM /opt/rocm
-
-RUN apt-get -y install g++ cmake
-RUN apt-get -y install python3-pybind11 python3.9-distutils python3-dev
-
-WORKDIR /opt/build
-
-COPY docker/rocm/migraphx .
-
-RUN mkdir build && cd build && cmake .. && make install
-
 #######################################################################
 FROM deps AS deps-prelim
 
-# need this to install libnuma1
-RUN apt-get update
-# no ugprade?!?!
-RUN apt-get -y install libnuma1
+RUN apt-get update && apt-get install -y libnuma1
 
-WORKDIR /opt/frigate/
+WORKDIR /opt/frigate
 COPY --from=rootfs / /
 
+RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
+    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
+    && python3 get-pip.py "pip" --break-system-packages
+RUN python3 -m pip config set global.break-system-packages true
+
 COPY docker/rocm/requirements-wheels-rocm.txt /requirements.txt
-RUN python3 -m pip install --upgrade pip \
-    && pip3 uninstall -y onnxruntime-openvino \
+RUN pip3 uninstall -y onnxruntime-openvino \
     && pip3 install -r /requirements.txt
 
 #######################################################################
@@ -86,12 +58,12 @@ COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*$AMDGPU* /opt/rocm-$ROCM/share
 COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx908* /opt/rocm-$ROCM/share/miopen/db/
 COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*$AMDGPU* /opt/rocm-$ROCM/lib/rocblas/library/
 COPY --from=rocm /opt/rocm-dist/ /
-COPY --from=debian-build /opt/rocm/lib/migraphx.cpython-39-x86_64-linux-gnu.so /opt/rocm-$ROCM/lib/
 
 #######################################################################
 FROM deps-prelim AS rocm-prelim-hsa-override0
-
 ENV HSA_ENABLE_SDMA=0
+ENV MIGRAPHX_ENABLE_NHWC=1
+ENV TF_ROCM_USE_IMMEDIATE_MODE=1
 
 COPY --from=rocm-dist / /
 
diff --git a/docker/rocm/migraphx/CMakeLists.txt b/docker/rocm/migraphx/CMakeLists.txt
deleted file mode 100644
index 271dd094b..000000000
--- a/docker/rocm/migraphx/CMakeLists.txt
+++ /dev/null
@@ -1,26 +0,0 @@
-
-cmake_minimum_required(VERSION 3.1)
-
-set(CMAKE_CXX_STANDARD 17)
-set(CMAKE_CXX_STANDARD_REQUIRED ON)
-set(CMAKE_CXX_EXTENSIONS OFF)
-
-if(NOT CMAKE_BUILD_TYPE)
-  set(CMAKE_BUILD_TYPE Release)
-endif()
-
-SET(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
-
-project(migraphx_py)
-
-include_directories(/opt/rocm/include)
-
-find_package(pybind11 REQUIRED)
-pybind11_add_module(migraphx migraphx_py.cpp)
-
-target_link_libraries(migraphx PRIVATE /opt/rocm/lib/libmigraphx.so /opt/rocm/lib/libmigraphx_tf.so /opt/rocm/lib/libmigraphx_onnx.so)
-
-install(TARGETS migraphx
-  COMPONENT python
-  LIBRARY DESTINATION /opt/rocm/lib
-)
diff --git a/docker/rocm/migraphx/migraphx_py.cpp b/docker/rocm/migraphx/migraphx_py.cpp
deleted file mode 100644
index 894c9d186..000000000
--- a/docker/rocm/migraphx/migraphx_py.cpp
+++ /dev/null
@@ -1,582 +0,0 @@
-/*
- * The MIT License (MIT)
- *
- * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in
- * all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
- * THE SOFTWARE.
- */
-
-#include <pybind11/pybind11.h>
-#include <pybind11/stl.h>
-#include <pybind11/numpy.h>
-#include <migraphx/program.hpp>
-#include <migraphx/instruction_ref.hpp>
-#include <migraphx/operation.hpp>
-#include <migraphx/quantization.hpp>
-#include <migraphx/generate.hpp>
-#include <migraphx/instruction.hpp>
-#include <migraphx/ref/target.hpp>
-#include <migraphx/stringutils.hpp>
-#include <migraphx/tf.hpp>
-#include <migraphx/onnx.hpp>
-#include <migraphx/load_save.hpp>
-#include <migraphx/register_target.hpp>
-#include <migraphx/json.hpp>
-#include <migraphx/make_op.hpp>
-#include <migraphx/op/common.hpp>
-
-#ifdef HAVE_GPU
-#include <migraphx/gpu/hip.hpp>
-#endif
-
-using half   = half_float::half;
-namespace py = pybind11;
-
-#ifdef __clang__
-#define MIGRAPHX_PUSH_UNUSED_WARNING \
-    _Pragma("clang diagnostic push") \
-        _Pragma("clang diagnostic ignored \"-Wused-but-marked-unused\"")
-#define MIGRAPHX_POP_WARNING _Pragma("clang diagnostic pop")
-#else
-#define MIGRAPHX_PUSH_UNUSED_WARNING
-#define MIGRAPHX_POP_WARNING
-#endif
-#define MIGRAPHX_PYBIND11_MODULE(...) \
-    MIGRAPHX_PUSH_UNUSED_WARNING      \
-    PYBIND11_MODULE(__VA_ARGS__)      \
-    MIGRAPHX_POP_WARNING
-
-#define MIGRAPHX_PYTHON_GENERATE_SHAPE_ENUM(x, t) .value(#x, migraphx::shape::type_t::x)
-namespace migraphx {
-
-migraphx::value to_value(py::kwargs kwargs);
-migraphx::value to_value(py::list lst);
-
-template <class T, class F>
-void visit_py(T x, F f)
-{
-    if(py::isinstance<py::kwargs>(x))
-    {
-        f(to_value(x.template cast<py::kwargs>()));
-    }
-    else if(py::isinstance<py::list>(x))
-    {
-        f(to_value(x.template cast<py::list>()));
-    }
-    else if(py::isinstance<py::bool_>(x))
-    {
-        f(x.template cast<bool>());
-    }
-    else if(py::isinstance<py::int_>(x) or py::hasattr(x, "__index__"))
-    {
-        f(x.template cast<int>());
-    }
-    else if(py::isinstance<py::float_>(x))
-    {
-        f(x.template cast<float>());
-    }
-    else if(py::isinstance<py::str>(x))
-    {
-        f(x.template cast<std::string>());
-    }
-    else if(py::isinstance<migraphx::shape::dynamic_dimension>(x))
-    {
-        f(migraphx::to_value(x.template cast<migraphx::shape::dynamic_dimension>()));
-    }
-    else
-    {
-        MIGRAPHX_THROW("VISIT_PY: Unsupported data type!");
-    }
-}
-
-migraphx::value to_value(py::list lst)
-{
-    migraphx::value v = migraphx::value::array{};
-    for(auto val : lst)
-    {
-        visit_py(val, [&](auto py_val) { v.push_back(py_val); });
-    }
-
-    return v;
-}
-
-migraphx::value to_value(py::kwargs kwargs)
-{
-    migraphx::value v = migraphx::value::object{};
-
-    for(auto arg : kwargs)
-    {
-        auto&& key = py::str(arg.first);
-        auto&& val = arg.second;
-        visit_py(val, [&](auto py_val) { v[key] = py_val; });
-    }
-    return v;
-}
-} // namespace migraphx
-
-namespace pybind11 {
-namespace detail {
-
-template <>
-struct npy_format_descriptor<half>
-{
-    static std::string format()
-    {
-        // following: https://docs.python.org/3/library/struct.html#format-characters
-        return "e";
-    }
-    static constexpr auto name() { return _("half"); }
-};
-
-} // namespace detail
-} // namespace pybind11
-
-template <class F>
-void visit_type(const migraphx::shape& s, F f)
-{
-    s.visit_type(f);
-}
-
-template <class T, class F>
-void visit(const migraphx::raw_data<T>& x, F f)
-{
-    x.visit(f);
-}
-
-template <class F>
-void visit_types(F f)
-{
-    migraphx::shape::visit_types(f);
-}
-
-template <class T>
-py::buffer_info to_buffer_info(T& x)
-{
-    migraphx::shape s = x.get_shape();
-    assert(s.type() != migraphx::shape::tuple_type);
-    if(s.dynamic())
-        MIGRAPHX_THROW("MIGRAPHX PYTHON: dynamic shape argument passed to to_buffer_info");
-    auto strides = s.strides();
-    std::transform(
-        strides.begin(), strides.end(), strides.begin(), [&](auto i) { return i * s.type_size(); });
-    py::buffer_info b;
-    visit_type(s, [&](auto as) {
-        // migraphx use int8_t data to store bool type, we need to
-        // explicitly specify the data type as bool for python
-        if(s.type() == migraphx::shape::bool_type)
-        {
-            b = py::buffer_info(x.data(),
-                                as.size(),
-                                py::format_descriptor<bool>::format(),
-                                s.ndim(),
-                                s.lens(),
-                                strides);
-        }
-        else
-        {
-            b = py::buffer_info(x.data(),
-                                as.size(),
-                                py::format_descriptor<decltype(as())>::format(),
-                                s.ndim(),
-                                s.lens(),
-                                strides);
-        }
-    });
-    return b;
-}
-
-migraphx::shape to_shape(const py::buffer_info& info)
-{
-    migraphx::shape::type_t t;
-    std::size_t n = 0;
-    visit_types([&](auto as) {
-        if(info.format == py::format_descriptor<decltype(as())>::format() or
-           (info.format == "l" and py::format_descriptor<decltype(as())>::format() == "q") or
-           (info.format == "L" and py::format_descriptor<decltype(as())>::format() == "Q"))
-        {
-            t = as.type_enum();
-            n = sizeof(as());
-        }
-        else if(info.format == "?" and py::format_descriptor<decltype(as())>::format() == "b")
-        {
-            t = migraphx::shape::bool_type;
-            n = sizeof(bool);
-        }
-    });
-
-    if(n == 0)
-    {
-        MIGRAPHX_THROW("MIGRAPHX PYTHON: Unsupported data type " + info.format);
-    }
-
-    auto strides = info.strides;
-    std::transform(strides.begin(), strides.end(), strides.begin(), [&](auto i) -> std::size_t {
-        return n > 0 ? i / n : 0;
-    });
-
-    // scalar support
-    if(info.shape.empty())
-    {
-        return migraphx::shape{t};
-    }
-    else
-    {
-        return migraphx::shape{t, info.shape, strides};
-    }
-}
-
-MIGRAPHX_PYBIND11_MODULE(migraphx, m)
-{
-    py::class_<migraphx::shape> shape_cls(m, "shape");
-    shape_cls
-        .def(py::init([](py::kwargs kwargs) {
-            auto v = migraphx::to_value(kwargs);
-            auto t = migraphx::shape::parse_type(v.get("type", "float"));
-            if(v.contains("dyn_dims"))
-            {
-                auto dyn_dims =
-                    migraphx::from_value<std::vector<migraphx::shape::dynamic_dimension>>(
-                        v.at("dyn_dims"));
-                return migraphx::shape(t, dyn_dims);
-            }
-            auto lens = v.get<std::size_t>("lens", {1});
-            if(v.contains("strides"))
-                return migraphx::shape(t, lens, v.at("strides").to_vector<std::size_t>());
-            else
-                return migraphx::shape(t, lens);
-        }))
-        .def("type", &migraphx::shape::type)
-        .def("lens", &migraphx::shape::lens)
-        .def("strides", &migraphx::shape::strides)
-        .def("ndim", &migraphx::shape::ndim)
-        .def("elements", &migraphx::shape::elements)
-        .def("bytes", &migraphx::shape::bytes)
-        .def("type_string", &migraphx::shape::type_string)
-        .def("type_size", &migraphx::shape::type_size)
-        .def("dyn_dims", &migraphx::shape::dyn_dims)
-        .def("packed", &migraphx::shape::packed)
-        .def("transposed", &migraphx::shape::transposed)
-        .def("broadcasted", &migraphx::shape::broadcasted)
-        .def("standard", &migraphx::shape::standard)
-        .def("scalar", &migraphx::shape::scalar)
-        .def("dynamic", &migraphx::shape::dynamic)
-        .def("__eq__", std::equal_to<migraphx::shape>{})
-        .def("__ne__", std::not_equal_to<migraphx::shape>{})
-        .def("__repr__", [](const migraphx::shape& s) { return migraphx::to_string(s); });
-
-    py::enum_<migraphx::shape::type_t>(shape_cls, "type_t")
-        MIGRAPHX_SHAPE_VISIT_TYPES(MIGRAPHX_PYTHON_GENERATE_SHAPE_ENUM);
-
-    py::class_<migraphx::shape::dynamic_dimension>(shape_cls, "dynamic_dimension")
-        .def(py::init<>())
-        .def(py::init<std::size_t, std::size_t>())
-        .def(py::init<std::size_t, std::size_t, std::set<std::size_t>>())
-        .def_readwrite("min", &migraphx::shape::dynamic_dimension::min)
-        .def_readwrite("max", &migraphx::shape::dynamic_dimension::max)
-        .def_readwrite("optimals", &migraphx::shape::dynamic_dimension::optimals)
-        .def("is_fixed", &migraphx::shape::dynamic_dimension::is_fixed);
-
-    py::class_<migraphx::argument>(m, "argument", py::buffer_protocol())
-        .def_buffer([](migraphx::argument& x) -> py::buffer_info { return to_buffer_info(x); })
-        .def(py::init([](py::buffer b) {
-            py::buffer_info info = b.request();
-            return migraphx::argument(to_shape(info), info.ptr);
-        }))
-        .def("get_shape", &migraphx::argument::get_shape)
-        .def("data_ptr",
-             [](migraphx::argument& x) { return reinterpret_cast<std::uintptr_t>(x.data()); })
-        .def("tolist",
-             [](migraphx::argument& x) {
-                 py::list l{x.get_shape().elements()};
-                 visit(x, [&](auto data) { l = py::cast(data.to_vector()); });
-                 return l;
-             })
-        .def("__eq__", std::equal_to<migraphx::argument>{})
-        .def("__ne__", std::not_equal_to<migraphx::argument>{})
-        .def("__repr__", [](const migraphx::argument& x) { return migraphx::to_string(x); });
-
-    py::class_<migraphx::target>(m, "target");
-
-    py::class_<migraphx::instruction_ref>(m, "instruction_ref")
-        .def("shape", [](migraphx::instruction_ref i) { return i->get_shape(); })
-        .def("op", [](migraphx::instruction_ref i) { return i->get_operator(); });
-
-    py::class_<migraphx::module, std::unique_ptr<migraphx::module, py::nodelete>>(m, "module")
-        .def("print", [](const migraphx::module& mm) { std::cout << mm << std::endl; })
-        .def(
-            "add_instruction",
-            [](migraphx::module& mm,
-               const migraphx::operation& op,
-               std::vector<migraphx::instruction_ref>& args,
-               std::vector<migraphx::module*>& mod_args) {
-                return mm.add_instruction(op, args, mod_args);
-            },
-            py::arg("op"),
-            py::arg("args"),
-            py::arg("mod_args") = std::vector<migraphx::module*>{})
-        .def(
-            "add_literal",
-            [](migraphx::module& mm, py::buffer data) {
-                py::buffer_info info = data.request();
-                auto literal_shape   = to_shape(info);
-                return mm.add_literal(literal_shape, reinterpret_cast<char*>(info.ptr));
-            },
-            py::arg("data"))
-        .def(
-            "add_parameter",
-            [](migraphx::module& mm, const std::string& name, const migraphx::shape shape) {
-                return mm.add_parameter(name, shape);
-            },
-            py::arg("name"),
-            py::arg("shape"))
-        .def(
-            "add_return",
-            [](migraphx::module& mm, std::vector<migraphx::instruction_ref>& args) {
-                return mm.add_return(args);
-            },
-            py::arg("args"))
-        .def("__repr__", [](const migraphx::module& mm) { return migraphx::to_string(mm); });
-
-    py::class_<migraphx::program>(m, "program")
-        .def(py::init([]() { return migraphx::program(); }))
-        .def("get_parameter_names", &migraphx::program::get_parameter_names)
-        .def("get_parameter_shapes", &migraphx::program::get_parameter_shapes)
-        .def("get_output_shapes", &migraphx::program::get_output_shapes)
-        .def("is_compiled", &migraphx::program::is_compiled)
-        .def(
-            "compile",
-            [](migraphx::program& p,
-               const migraphx::target& t,
-               bool offload_copy,
-               bool fast_math,
-               bool exhaustive_tune) {
-                migraphx::compile_options options;
-                options.offload_copy    = offload_copy;
-                options.fast_math       = fast_math;
-                options.exhaustive_tune = exhaustive_tune;
-                p.compile(t, options);
-            },
-            py::arg("t"),
-            py::arg("offload_copy")    = true,
-            py::arg("fast_math")       = true,
-            py::arg("exhaustive_tune") = false)
-        .def("get_main_module", [](const migraphx::program& p) { return p.get_main_module(); })
-        .def(
-            "create_module",
-            [](migraphx::program& p, const std::string& name) { return p.create_module(name); },
-            py::arg("name"))
-        .def("run",
-             [](migraphx::program& p, py::dict params) {
-                 migraphx::parameter_map pm;
-                 for(auto x : params)
-                 {
-                     std::string key      = x.first.cast<std::string>();
-                     py::buffer b         = x.second.cast<py::buffer>();
-                     py::buffer_info info = b.request();
-                     pm[key]              = migraphx::argument(to_shape(info), info.ptr);
-                 }
-                 return p.eval(pm);
-             })
-        .def("run_async",
-             [](migraphx::program& p,
-                py::dict params,
-                std::uintptr_t stream,
-                std::string stream_name) {
-                 migraphx::parameter_map pm;
-                 for(auto x : params)
-                 {
-                     std::string key      = x.first.cast<std::string>();
-                     py::buffer b         = x.second.cast<py::buffer>();
-                     py::buffer_info info = b.request();
-                     pm[key]              = migraphx::argument(to_shape(info), info.ptr);
-                 }
-                 migraphx::execution_environment exec_env{
-                     migraphx::any_ptr(reinterpret_cast<void*>(stream), stream_name), true};
-                 return p.eval(pm, exec_env);
-             })
-        .def("sort", &migraphx::program::sort)
-        .def("print", [](const migraphx::program& p) { std::cout << p << std::endl; })
-        .def("__eq__", std::equal_to<migraphx::program>{})
-        .def("__ne__", std::not_equal_to<migraphx::program>{})
-        .def("__repr__", [](const migraphx::program& p) { return migraphx::to_string(p); });
-
-    py::class_<migraphx::operation> op(m, "op");
-    op.def(py::init([](const std::string& name, py::kwargs kwargs) {
-          migraphx::value v = migraphx::value::object{};
-          if(kwargs)
-          {
-              v = migraphx::to_value(kwargs);
-          }
-          return migraphx::make_op(name, v);
-      }))
-        .def("name", &migraphx::operation::name);
-
-    py::enum_<migraphx::op::pooling_mode>(op, "pooling_mode")
-        .value("average", migraphx::op::pooling_mode::average)
-        .value("max", migraphx::op::pooling_mode::max)
-        .value("lpnorm", migraphx::op::pooling_mode::lpnorm);
-
-    py::enum_<migraphx::op::rnn_direction>(op, "rnn_direction")
-        .value("forward", migraphx::op::rnn_direction::forward)
-        .value("reverse", migraphx::op::rnn_direction::reverse)
-        .value("bidirectional", migraphx::op::rnn_direction::bidirectional);
-
-    m.def(
-        "argument_from_pointer",
-        [](const migraphx::shape shape, const int64_t address) {
-            return migraphx::argument(shape, reinterpret_cast<void*>(address));
-        },
-        py::arg("shape"),
-        py::arg("address"));
-
-    m.def(
-        "parse_tf",
-        [](const std::string& filename,
-           bool is_nhwc,
-           unsigned int batch_size,
-           std::unordered_map<std::string, std::vector<std::size_t>> map_input_dims,
-           std::vector<std::string> output_names) {
-            return migraphx::parse_tf(
-                filename, migraphx::tf_options{is_nhwc, batch_size, map_input_dims, output_names});
-        },
-        "Parse tf protobuf (default format is nhwc)",
-        py::arg("filename"),
-        py::arg("is_nhwc")        = true,
-        py::arg("batch_size")     = 1,
-        py::arg("map_input_dims") = std::unordered_map<std::string, std::vector<std::size_t>>(),
-        py::arg("output_names")   = std::vector<std::string>());
-
-    m.def(
-        "parse_onnx",
-        [](const std::string& filename,
-           unsigned int default_dim_value,
-           migraphx::shape::dynamic_dimension default_dyn_dim_value,
-           std::unordered_map<std::string, std::vector<std::size_t>> map_input_dims,
-           std::unordered_map<std::string, std::vector<migraphx::shape::dynamic_dimension>>
-               map_dyn_input_dims,
-           bool skip_unknown_operators,
-           bool print_program_on_error,
-           int64_t max_loop_iterations) {
-            migraphx::onnx_options options;
-            options.default_dim_value      = default_dim_value;
-            options.default_dyn_dim_value  = default_dyn_dim_value;
-            options.map_input_dims         = map_input_dims;
-            options.map_dyn_input_dims     = map_dyn_input_dims;
-            options.skip_unknown_operators = skip_unknown_operators;
-            options.print_program_on_error = print_program_on_error;
-            options.max_loop_iterations    = max_loop_iterations;
-            return migraphx::parse_onnx(filename, options);
-        },
-        "Parse onnx file",
-        py::arg("filename"),
-        py::arg("default_dim_value")     = 0,
-        py::arg("default_dyn_dim_value") = migraphx::shape::dynamic_dimension{1, 1},
-        py::arg("map_input_dims") = std::unordered_map<std::string, std::vector<std::size_t>>(),
-        py::arg("map_dyn_input_dims") =
-            std::unordered_map<std::string, std::vector<migraphx::shape::dynamic_dimension>>(),
-        py::arg("skip_unknown_operators") = false,
-        py::arg("print_program_on_error") = false,
-        py::arg("max_loop_iterations")    = 10);
-
-    m.def(
-        "parse_onnx_buffer",
-        [](const std::string& onnx_buffer,
-           unsigned int default_dim_value,
-           migraphx::shape::dynamic_dimension default_dyn_dim_value,
-           std::unordered_map<std::string, std::vector<std::size_t>> map_input_dims,
-           std::unordered_map<std::string, std::vector<migraphx::shape::dynamic_dimension>>
-               map_dyn_input_dims,
-           bool skip_unknown_operators,
-           bool print_program_on_error) {
-            migraphx::onnx_options options;
-            options.default_dim_value      = default_dim_value;
-            options.default_dyn_dim_value  = default_dyn_dim_value;
-            options.map_input_dims         = map_input_dims;
-            options.map_dyn_input_dims     = map_dyn_input_dims;
-            options.skip_unknown_operators = skip_unknown_operators;
-            options.print_program_on_error = print_program_on_error;
-            return migraphx::parse_onnx_buffer(onnx_buffer, options);
-        },
-        "Parse onnx file",
-        py::arg("filename"),
-        py::arg("default_dim_value")     = 0,
-        py::arg("default_dyn_dim_value") = migraphx::shape::dynamic_dimension{1, 1},
-        py::arg("map_input_dims") = std::unordered_map<std::string, std::vector<std::size_t>>(),
-        py::arg("map_dyn_input_dims") =
-            std::unordered_map<std::string, std::vector<migraphx::shape::dynamic_dimension>>(),
-        py::arg("skip_unknown_operators") = false,
-        py::arg("print_program_on_error") = false);
-
-    m.def(
-        "load",
-        [](const std::string& name, const std::string& format) {
-            migraphx::file_options options;
-            options.format = format;
-            return migraphx::load(name, options);
-        },
-        "Load MIGraphX program",
-        py::arg("filename"),
-        py::arg("format") = "msgpack");
-
-    m.def(
-        "save",
-        [](const migraphx::program& p, const std::string& name, const std::string& format) {
-            migraphx::file_options options;
-            options.format = format;
-            return migraphx::save(p, name, options);
-        },
-        "Save MIGraphX program",
-        py::arg("p"),
-        py::arg("filename"),
-        py::arg("format") = "msgpack");
-
-    m.def("get_target", &migraphx::make_target);
-    m.def("create_argument", [](const migraphx::shape& s, const std::vector<double>& values) {
-        if(values.size() != s.elements())
-            MIGRAPHX_THROW("Values and shape elements do not match");
-        migraphx::argument a{s};
-        a.fill(values.begin(), values.end());
-        return a;
-    });
-    m.def("generate_argument", &migraphx::generate_argument, py::arg("s"), py::arg("seed") = 0);
-    m.def("fill_argument", &migraphx::fill_argument, py::arg("s"), py::arg("value"));
-    m.def("quantize_fp16",
-          &migraphx::quantize_fp16,
-          py::arg("prog"),
-          py::arg("ins_names") = std::vector<std::string>{"all"});
-    m.def("quantize_int8",
-          &migraphx::quantize_int8,
-          py::arg("prog"),
-          py::arg("t"),
-          py::arg("calibration") = std::vector<migraphx::parameter_map>{},
-          py::arg("ins_names")   = std::vector<std::string>{"dot", "convolution"});
-
-#ifdef HAVE_GPU
-    m.def("allocate_gpu", &migraphx::gpu::allocate_gpu, py::arg("s"), py::arg("host") = false);
-    m.def("to_gpu", &migraphx::gpu::to_gpu, py::arg("arg"), py::arg("host") = false);
-    m.def("from_gpu", &migraphx::gpu::from_gpu);
-    m.def("gpu_sync", [] { migraphx::gpu::gpu_sync(); });
-#endif
-
-#ifdef VERSION_INFO
-    m.attr("__version__") = VERSION_INFO;
-#else
-    m.attr("__version__") = "dev";
-#endif
-}
diff --git a/docker/rocm/requirements-wheels-rocm.txt b/docker/rocm/requirements-wheels-rocm.txt
index 89d0e6096..85450768e 100644
--- a/docker/rocm/requirements-wheels-rocm.txt
+++ b/docker/rocm/requirements-wheels-rocm.txt
@@ -1 +1 @@
-onnxruntime-rocm @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v1.0.0/onnxruntime_rocm-1.17.3-cp39-cp39-linux_x86_64.whl
\ No newline at end of file
+onnxruntime-rocm @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v6.3.3/onnxruntime_rocm-1.20.1-cp311-cp311-linux_x86_64.whl
\ No newline at end of file
diff --git a/docker/rocm/rocm-pin-600 b/docker/rocm/rocm-pin-600
deleted file mode 100644
index 88348a5c1..000000000
--- a/docker/rocm/rocm-pin-600
+++ /dev/null
@@ -1,3 +0,0 @@
-Package: *
-Pin: release o=repo.radeon.com
-Pin-Priority: 600
diff --git a/docker/rocm/rocm.hcl b/docker/rocm/rocm.hcl
index 33a2d2323..6a84b350d 100644
--- a/docker/rocm/rocm.hcl
+++ b/docker/rocm/rocm.hcl
@@ -2,7 +2,7 @@ variable "AMDGPU" {
   default = "gfx900"
 }
 variable "ROCM" {
-  default = "5.7.3"
+  default = "6.3.3"
 }
 variable "HSA_OVERRIDE_GFX_VERSION" {
   default = ""
@@ -10,6 +10,13 @@ variable "HSA_OVERRIDE_GFX_VERSION" {
 variable "HSA_OVERRIDE" {
   default = "1"
 }
+
+target wget {
+  dockerfile = "docker/main/Dockerfile"
+  platforms = ["linux/amd64"]
+  target = "wget"
+}
+
 target deps {
   dockerfile = "docker/main/Dockerfile"
   platforms = ["linux/amd64"]
@@ -26,6 +33,7 @@ target rocm {
   dockerfile = "docker/rocm/Dockerfile"
   contexts = {
     deps = "target:deps",
+    wget = "target:wget",
     rootfs = "target:rootfs"
   }
   platforms = ["linux/amd64"]
diff --git a/docker/rocm/rocm.list b/docker/rocm/rocm.list
deleted file mode 100644
index 0915b4094..000000000
--- a/docker/rocm/rocm.list
+++ /dev/null
@@ -1 +0,0 @@
-deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/5.7.3 focal main
diff --git a/docker/rpi/Dockerfile b/docker/rpi/Dockerfile
index 581ca7ff8..35a225227 100644
--- a/docker/rpi/Dockerfile
+++ b/docker/rpi/Dockerfile
@@ -6,11 +6,12 @@ ARG DEBIAN_FRONTEND=noninteractive
 FROM deps AS rpi-deps
 ARG TARGETARCH
 
-RUN rm -rf /usr/lib/btbn-ffmpeg/
-
 # Install dependencies
 RUN --mount=type=bind,source=docker/rpi/install_deps.sh,target=/deps/install_deps.sh \
     /deps/install_deps.sh
 
+ENV DEFAULT_FFMPEG_VERSION="rpi"
+ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:${INCLUDED_FFMPEG_VERSIONS}"
+
 WORKDIR /opt/frigate/
 COPY --from=rootfs / /
diff --git a/docker/rpi/install_deps.sh b/docker/rpi/install_deps.sh
index 9716623ca..bf537d503 100755
--- a/docker/rpi/install_deps.sh
+++ b/docker/rpi/install_deps.sh
@@ -18,13 +18,17 @@ apt-get -qq install --no-install-recommends -y \
 mkdir -p -m 600 /root/.gnupg
 
 # enable non-free repo
-sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
+echo "deb http://deb.debian.org/debian bookworm main contrib non-free non-free-firmware" | tee -a /etc/apt/sources.list
+apt update
 
 # ffmpeg -> arm64
 if [[ "${TARGETARCH}" == "arm64" ]]; then
     # add raspberry pi repo
     gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 82B129927FA3303E
-    echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] https://archive.raspberrypi.org/debian/ bullseye main" | tee /etc/apt/sources.list.d/raspi.list
+    echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] https://archive.raspberrypi.org/debian/ bookworm main" | tee /etc/apt/sources.list.d/raspi.list
     apt-get -qq update
     apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
+    mkdir -p /usr/lib/ffmpeg/rpi/bin
+    ln -svf /usr/bin/ffmpeg /usr/lib/ffmpeg/rpi/bin/ffmpeg
+    ln -svf /usr/bin/ffprobe /usr/lib/ffmpeg/rpi/bin/ffprobe
 fi
diff --git a/docker/tensorrt/Dockerfile.amd64 b/docker/tensorrt/Dockerfile.amd64
index 745d0d350..906e113a8 100644
--- a/docker/tensorrt/Dockerfile.amd64
+++ b/docker/tensorrt/Dockerfile.amd64
@@ -3,32 +3,32 @@
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
 
-# Make this a separate target so it can be built/cached optionally
-FROM wheels as trt-wheels
-ARG DEBIAN_FRONTEND
-ARG TARGETARCH
+# Globally set pip break-system-packages option to avoid having to specify it every time
+ARG PIP_BREAK_SYSTEM_PACKAGES=1
 
-# Add TensorRT wheels to another folder
+FROM wheels AS trt-wheels
+ARG PIP_BREAK_SYSTEM_PACKAGES
+
+# Install TensorRT wheels
 COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
-RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
+COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
+RUN  pip3 wheel --wheel-dir=/trt-wheels -c /requirements-wheels.txt -r /requirements-tensorrt.txt
+
+FROM deps AS frigate-tensorrt
+ARG PIP_BREAK_SYSTEM_PACKAGES
 
-FROM tensorrt-base AS frigate-tensorrt
-ENV TRT_VER=8.5.3
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
-    pip3 install -U /deps/trt-wheels/*.whl && \
-    ldconfig
+    pip3 uninstall -y onnxruntime-openvino tensorflow-cpu \
+    && pip3 install -U /deps/trt-wheels/*.whl
 
-ENV LD_LIBRARY_PATH=/usr/local/lib/python3.9/dist-packages/tensorrt:/usr/local/cuda/lib64:/usr/local/lib/python3.9/dist-packages/nvidia/cufft/lib
-WORKDIR /opt/frigate/
 COPY --from=rootfs / /
+COPY docker/tensorrt/detector/rootfs/etc/ld.so.conf.d /etc/ld.so.conf.d
+RUN ldconfig
+
+WORKDIR /opt/frigate/
 
 # Dev Container w/ TRT
 FROM devcontainer AS devcontainer-trt
 
-COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
-COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
-COPY --from=trt-deps /usr/local/cuda-12.1 /usr/local/cuda
-COPY docker/tensorrt/detector/rootfs/ /
-COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     pip3 install -U /deps/trt-wheels/*.whl
diff --git a/docker/tensorrt/Dockerfile.arm64 b/docker/tensorrt/Dockerfile.arm64
index 23a2459ac..0ae9c38e9 100644
--- a/docker/tensorrt/Dockerfile.arm64
+++ b/docker/tensorrt/Dockerfile.arm64
@@ -1,26 +1,84 @@
-# syntax=docker/dockerfile:1.4
+# syntax=docker/dockerfile:1.6
 
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
-
 ARG BASE_IMAGE
+ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.12-py3
+
+# Build TensorRT-specific library
+FROM ${TRT_BASE} AS trt-deps
+
+ARG TARGETARCH
+ARG COMPUTE_LEVEL
+
+RUN apt-get update \
+    && apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
+    && rm -rf /var/lib/apt/lists/*
+RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
+    /tensorrt_libyolo.sh
+
+# COPY required individual CUDA deps
+RUN mkdir -p /usr/local/cuda-deps
+RUN if [ "$TARGETARCH" = "amd64" ]; then \
+    cp /usr/local/cuda-12.3/targets/x86_64-linux/lib/libcurand.so.* /usr/local/cuda-deps/ && \
+    cp /usr/local/cuda-12.3/targets/x86_64-linux/lib/libnvrtc.so.* /usr/local/cuda-deps/ && \
+    cd /usr/local/cuda-deps/ && \
+    for lib in libnvrtc.so.*; do \
+    if [[ "$lib" =~ libnvrtc.so\.([0-9]+\.[0-9]+\.[0-9]+) ]]; then \
+    version="${BASH_REMATCH[1]}"; \
+    ln -sf "libnvrtc.so.$version" libnvrtc.so; \
+    fi; \
+    done && \
+    for lib in libcurand.so.*; do \
+    if [[ "$lib" =~ libcurand.so\.([0-9]+\.[0-9]+\.[0-9]+\.[0-9]+) ]]; then \
+    version="${BASH_REMATCH[1]}"; \
+    ln -sf "libcurand.so.$version" libcurand.so; \
+    fi; \
+    done; \
+    fi
+
+# Frigate w/ TensorRT Support as separate image
+FROM deps AS tensorrt-base
+
+#Disable S6 Global timeout
+ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
+
+# COPY TensorRT Model Generation Deps
+COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
+COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
+
+# COPY Individual CUDA deps folder
+COPY --from=trt-deps /usr/local/cuda-deps /usr/local/cuda
+
+COPY docker/tensorrt/detector/rootfs/ /
+ENV YOLO_MODELS=""
+
+HEALTHCHECK --start-period=600s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
+    CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
+
 FROM ${BASE_IMAGE} AS build-wheels
 ARG DEBIAN_FRONTEND
 
+# Add deadsnakes PPA for python3.11
+RUN apt-get -qq update && \
+    apt-get -qq install -y --no-install-recommends \
+    software-properties-common \
+    && add-apt-repository ppa:deadsnakes/ppa
+
 # Use a separate container to build wheels to prevent build dependencies in final image
 RUN apt-get -qq update \
     && apt-get -qq install -y --no-install-recommends \
-    python3.9 python3.9-dev \
+    python3.11 python3.11-dev \
     wget build-essential cmake git \
     && rm -rf /var/lib/apt/lists/*
 
-# Ensure python3 defaults to python3.9
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
+# Ensure python3 defaults to python3.11
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
 
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
+    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
     && python3 get-pip.py "pip"
 
-
 FROM build-wheels AS trt-wheels
 ARG DEBIAN_FRONTEND
 ARG TARGETARCH
@@ -41,11 +99,11 @@ RUN --mount=type=bind,source=docker/tensorrt/detector/build_python_tensorrt.sh,t
     && TENSORRT_VER=$(cat /etc/TENSORRT_VER) /deps/build_python_tensorrt.sh
 
 COPY docker/tensorrt/requirements-arm64.txt /requirements-tensorrt.txt
-ADD https://nvidia.box.com/shared/static/9aemm4grzbbkfaesg5l7fplgjtmswhj8.whl /tmp/onnxruntime_gpu-1.15.1-cp39-cp39-linux_aarch64.whl
 
-RUN pip3 uninstall -y onnxruntime-openvino \
-    && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt \
-    && pip3 install --no-deps /tmp/onnxruntime_gpu-1.15.1-cp39-cp39-linux_aarch64.whl
+RUN pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
+
+# See https://elinux.org/Jetson_Zoo#ONNX_Runtime
+ADD https://nvidia.box.com/shared/static/9yvw05k6u343qfnkhdv2x6xhygze0aq1.whl /trt-wheels/onnxruntime_gpu-1.19.0-cp311-cp311-linux_aarch64.whl
 
 FROM build-wheels AS trt-model-wheels
 ARG DEBIAN_FRONTEND
@@ -67,17 +125,31 @@ RUN --mount=type=bind,source=docker/tensorrt/build_jetson_ffmpeg.sh,target=/deps
 # Frigate w/ TensorRT for NVIDIA Jetson platforms
 FROM tensorrt-base AS frigate-tensorrt
 RUN apt-get update \
-    && apt-get install -y python-is-python3 libprotobuf17  \
+    && apt-get install -y python-is-python3 libprotobuf23  \
     && rm -rf /var/lib/apt/lists/*
 
-RUN rm -rf /usr/lib/btbn-ffmpeg/
 COPY --from=jetson-ffmpeg /rootfs /
+ENV DEFAULT_FFMPEG_VERSION="jetson"
+ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:${INCLUDED_FFMPEG_VERSIONS}"
+
+# ffmpeg runtime dependencies
+RUN apt-get -qq update \
+    && apt-get -qq install -y --no-install-recommends \
+    libx264-163 libx265-199 libegl1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Fixes "Error loading shared libs"
+RUN mkdir -p /etc/ld.so.conf.d && echo /usr/lib/ffmpeg/jetson/lib/ > /etc/ld.so.conf.d/ffmpeg.conf
 
 COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     --mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
-    pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
+    pip3 uninstall -y onnxruntime \
+    && pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
     && ldconfig
 
 WORKDIR /opt/frigate/
 COPY --from=rootfs / /
+
+# Fixes "Error importing detector runtime: /usr/lib/aarch64-linux-gnu/libstdc++.so.6: cannot allocate memory in static TLS block"
+ENV LD_PRELOAD /usr/lib/aarch64-linux-gnu/libstdc++.so.6
\ No newline at end of file
diff --git a/docker/tensorrt/Dockerfile.base b/docker/tensorrt/Dockerfile.base
deleted file mode 100644
index 6fdf9db3f..000000000
--- a/docker/tensorrt/Dockerfile.base
+++ /dev/null
@@ -1,32 +0,0 @@
-# syntax=docker/dockerfile:1.6
-
-# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
-ARG DEBIAN_FRONTEND=noninteractive
-
-ARG TRT_BASE=nvcr.io/nvidia/tensorrt:23.03-py3
-
-# Build TensorRT-specific library
-FROM ${TRT_BASE} AS trt-deps
-
-ARG COMPUTE_LEVEL
-
-RUN apt-get update \
-    && apt-get install -y git build-essential cuda-nvcc-* cuda-nvtx-* libnvinfer-dev libnvinfer-plugin-dev libnvparsers-dev libnvonnxparsers-dev \
-    && rm -rf /var/lib/apt/lists/*
-RUN --mount=type=bind,source=docker/tensorrt/detector/tensorrt_libyolo.sh,target=/tensorrt_libyolo.sh \
-    /tensorrt_libyolo.sh
-
-# Frigate w/ TensorRT Support as separate image
-FROM deps AS tensorrt-base
-
-#Disable S6 Global timeout
-ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
-
-COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
-COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
-COPY --from=trt-deps /usr/local/cuda-12.* /usr/local/cuda
-COPY docker/tensorrt/detector/rootfs/ /
-ENV YOLO_MODELS=""
-
-HEALTHCHECK --start-period=600s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
-    CMD curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
diff --git a/docker/tensorrt/build_jetson_ffmpeg.sh b/docker/tensorrt/build_jetson_ffmpeg.sh
index f4e55c2bb..fb29eb214 100755
--- a/docker/tensorrt/build_jetson_ffmpeg.sh
+++ b/docker/tensorrt/build_jetson_ffmpeg.sh
@@ -5,7 +5,7 @@
 
 set -euxo pipefail
 
-INSTALL_PREFIX=/rootfs/usr/local
+INSTALL_PREFIX=/rootfs/usr/lib/ffmpeg/jetson
 
 apt-get -qq update
 apt-get -qq install -y --no-install-recommends build-essential ccache clang cmake pkg-config
@@ -14,14 +14,27 @@ apt-get -qq install -y --no-install-recommends libx264-dev libx265-dev
 pushd /tmp
 
 # Install libnvmpi to enable nvmpi decoders (h264_nvmpi, hevc_nvmpi)
-if [ -e /usr/local/cuda-10.2 ]; then
+if [ -e /usr/local/cuda-12 ]; then
+    # assume Jetpack 6.2
+    apt-key adv --fetch-key https://repo.download.nvidia.com/jetson/jetson-ota-public.asc
+    echo "deb https://repo.download.nvidia.com/jetson/common r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
+    echo "deb https://repo.download.nvidia.com/jetson/t234 r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
+    echo "deb https://repo.download.nvidia.com/jetson/ffmpeg r36.4 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
+
+    mkdir -p /opt/nvidia/l4t-packages/
+    touch /opt/nvidia/l4t-packages/.nv-l4t-disable-boot-fw-update-in-preinstall
+
+    apt-get update
+    apt-get -qq install -y --no-install-recommends -o Dpkg::Options::="--force-confold" nvidia-l4t-jetson-multimedia-api
+elif [ -e /usr/local/cuda-10.2 ]; then
     # assume Jetpack 4.X
     wget -q https://developer.nvidia.com/embedded/L4T/r32_Release_v5.0/T186/Jetson_Multimedia_API_R32.5.0_aarch64.tbz2 -O jetson_multimedia_api.tbz2
+    tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
 else
     # assume Jetpack 5.X
     wget -q https://developer.nvidia.com/downloads/embedded/l4t/r35_release_v3.1/release/jetson_multimedia_api_r35.3.1_aarch64.tbz2 -O jetson_multimedia_api.tbz2
+    tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
 fi
-tar xaf jetson_multimedia_api.tbz2 -C / && rm jetson_multimedia_api.tbz2
 
 wget -q https://github.com/AndBobsYourUncle/jetson-ffmpeg/archive/9c17b09.zip -O jetson-ffmpeg.zip
 unzip jetson-ffmpeg.zip && rm jetson-ffmpeg.zip && mv jetson-ffmpeg-* jetson-ffmpeg && cd jetson-ffmpeg
diff --git a/docker/tensorrt/detector/build_python_tensorrt.sh b/docker/tensorrt/detector/build_python_tensorrt.sh
index 21b6ae268..325103485 100755
--- a/docker/tensorrt/detector/build_python_tensorrt.sh
+++ b/docker/tensorrt/detector/build_python_tensorrt.sh
@@ -6,23 +6,23 @@ mkdir -p /trt-wheels
 
 if [[ "${TARGETARCH}" == "arm64" ]]; then
 
-  # NVIDIA supplies python-tensorrt for python3.8, but frigate uses python3.9,
+  # NVIDIA supplies python-tensorrt for python3.10, but frigate uses python3.11,
   # so we must build python-tensorrt ourselves.
 
   # Get python-tensorrt source
-  mkdir /workspace
+  mkdir -p /workspace
   cd /workspace
-  git clone -b ${TENSORRT_VER} https://github.com/NVIDIA/TensorRT.git --depth=1
+  git clone -b release/8.6 https://github.com/NVIDIA/TensorRT.git --depth=1
 
   # Collect dependencies
   EXT_PATH=/workspace/external && mkdir -p $EXT_PATH
-  pip3 install pybind11 && ln -s /usr/local/lib/python3.9/dist-packages/pybind11 $EXT_PATH/pybind11
-  ln -s /usr/include/python3.9 $EXT_PATH/python3.9
+  pip3 install pybind11 && ln -s /usr/local/lib/python3.11/dist-packages/pybind11 $EXT_PATH/pybind11
+  ln -s /usr/include/python3.11 $EXT_PATH/python3.11
   ln -s /usr/include/aarch64-linux-gnu/NvOnnxParser.h /workspace/TensorRT/parsers/onnx/
 
   # Build wheel
   cd /workspace/TensorRT/python
-  EXT_PATH=$EXT_PATH PYTHON_MAJOR_VERSION=3 PYTHON_MINOR_VERSION=9 TARGET_ARCHITECTURE=aarch64 /bin/bash ./build.sh
-  mv build/dist/*.whl /trt-wheels/
+  EXT_PATH=$EXT_PATH PYTHON_MAJOR_VERSION=3 PYTHON_MINOR_VERSION=11 TARGET_ARCHITECTURE=aarch64 TENSORRT_MODULE=tensorrt /bin/bash ./build.sh
+  mv build/bindings_wheel/dist/*.whl /trt-wheels/
 
 fi
diff --git a/docker/tensorrt/detector/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf b/docker/tensorrt/detector/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf
index fe16ed9c5..b00d4b4e4 100644
--- a/docker/tensorrt/detector/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf
+++ b/docker/tensorrt/detector/rootfs/etc/ld.so.conf.d/cuda_tensorrt.conf
@@ -1,6 +1,6 @@
-/usr/local/lib
-/usr/local/lib/python3.9/dist-packages/nvidia/cudnn/lib
-/usr/local/lib/python3.9/dist-packages/nvidia/cuda_runtime/lib
-/usr/local/lib/python3.9/dist-packages/nvidia/cublas/lib
-/usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib
-/usr/local/lib/python3.9/dist-packages/tensorrt
\ No newline at end of file
+/usr/local/lib/python3.11/dist-packages/nvidia/cudnn/lib
+/usr/local/lib/python3.11/dist-packages/nvidia/cuda_runtime/lib
+/usr/local/lib/python3.11/dist-packages/nvidia/cublas/lib
+/usr/local/lib/python3.11/dist-packages/nvidia/cufft/lib
+/usr/local/lib/python3.11/dist-packages/nvidia/curand/lib/
+/usr/local/lib/python3.11/dist-packages/nvidia/cuda_nvrtc/lib/
\ No newline at end of file
diff --git a/docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run b/docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run
index 419cf4a89..e3440e7ac 100755
--- a/docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run
+++ b/docker/tensorrt/detector/rootfs/etc/s6-overlay/s6-rc.d/trt-model-prepare/run
@@ -64,7 +64,7 @@ fi
 # order to run libyolo here.
 # On Jetpack 5.0, these libraries are not mounted by the runtime and are supplied by the image.
 if [[ "$(arch)" == "aarch64" ]]; then
-    if [[ ! -e /usr/lib/aarch64-linux-gnu/tegra ]]; then
+    if [[ ! -e /usr/lib/aarch64-linux-gnu/tegra && ! -e /usr/lib/aarch64-linux-gnu/tegra-egl ]]; then
         echo "ERROR: Container must be launched with nvidia runtime"
         exit 1
     elif [[ ! -e /usr/lib/aarch64-linux-gnu/libnvinfer.so.8 ||
diff --git a/docker/tensorrt/requirements-amd64.txt b/docker/tensorrt/requirements-amd64.txt
index df276a613..be4aaa066 100644
--- a/docker/tensorrt/requirements-amd64.txt
+++ b/docker/tensorrt/requirements-amd64.txt
@@ -1,14 +1,18 @@
 # NVidia TensorRT Support (amd64 only)
 --extra-index-url 'https://pypi.nvidia.com'
-numpy < 1.24; platform_machine == 'x86_64'
-tensorrt == 8.5.3.*; platform_machine == 'x86_64'
-cuda-python == 11.8; platform_machine == 'x86_64'
-cython == 0.29.*; platform_machine == 'x86_64'
-nvidia-cuda-runtime-cu12 == 12.1.*; platform_machine == 'x86_64'
-nvidia-cuda-runtime-cu11 == 11.8.*; platform_machine == 'x86_64'
-nvidia-cublas-cu11 == 11.11.3.6; platform_machine == 'x86_64'
-nvidia-cudnn-cu11 == 8.6.0.*; platform_machine == 'x86_64'
-nvidia-cufft-cu11==10.*; platform_machine == 'x86_64'
+cython==3.0.*; platform_machine == 'x86_64'
+nvidia_cuda_cupti_cu12==12.5.82; platform_machine == 'x86_64'
+nvidia-cublas-cu12==12.5.3.*; platform_machine == 'x86_64'
+nvidia-cudnn-cu12==9.3.0.*; platform_machine == 'x86_64'
+nvidia-cufft-cu12==11.2.3.*; platform_machine == 'x86_64'
+nvidia-curand-cu12==10.3.6.*; platform_machine == 'x86_64'
+nvidia_cuda_nvcc_cu12==12.5.82; platform_machine == 'x86_64'
+nvidia-cuda-nvrtc-cu12==12.5.82; platform_machine == 'x86_64'
+nvidia_cuda_runtime_cu12==12.5.82; platform_machine == 'x86_64'
+nvidia_cusolver_cu12==11.6.3.*; platform_machine == 'x86_64'
+nvidia_cusparse_cu12==12.5.1.*; platform_machine == 'x86_64'
+nvidia_nccl_cu12==2.23.4; platform_machine == 'x86_64'
+nvidia_nvjitlink_cu12==12.5.82; platform_machine == 'x86_64'
 onnx==1.16.*; platform_machine == 'x86_64'
-onnxruntime-gpu==1.18.*; platform_machine == 'x86_64'
+onnxruntime-gpu==1.20.*; platform_machine == 'x86_64'
 protobuf==3.20.3; platform_machine == 'x86_64'
diff --git a/docker/tensorrt/requirements-arm64.txt b/docker/tensorrt/requirements-arm64.txt
index 67489f80b..c9b618180 100644
--- a/docker/tensorrt/requirements-arm64.txt
+++ b/docker/tensorrt/requirements-arm64.txt
@@ -1 +1 @@
-cuda-python == 11.7; platform_machine == 'aarch64'
\ No newline at end of file
+cuda-python == 12.6.*; platform_machine == 'aarch64'
diff --git a/docker/tensorrt/trt.hcl b/docker/tensorrt/trt.hcl
index 3195fb5bf..501e871e9 100644
--- a/docker/tensorrt/trt.hcl
+++ b/docker/tensorrt/trt.hcl
@@ -13,13 +13,29 @@ variable "TRT_BASE" {
 variable "COMPUTE_LEVEL" {
   default = ""
 }
+variable "BASE_HOOK" {
+  # Ensure an up-to-date python 3.11 is available in jetson images
+  default = <<EOT
+if grep -iq \"ubuntu\" /etc/os-release; then
+  . /etc/os-release
+
+  # Add the deadsnakes PPA repository
+  echo "deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu $VERSION_CODENAME main" >> /etc/apt/sources.list.d/deadsnakes.list
+  echo "deb-src https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu $VERSION_CODENAME main" >> /etc/apt/sources.list.d/deadsnakes.list
+
+  # Add deadsnakes signing key
+  apt-key adv --keyserver keyserver.ubuntu.com --recv-keys F23C5A6CF475977595C89F51BA6932366A755776
+fi
+EOT
+}
 
 target "_build_args" {
   args = {
     BASE_IMAGE = BASE_IMAGE,
     SLIM_BASE = SLIM_BASE,
     TRT_BASE = TRT_BASE,
-    COMPUTE_LEVEL = COMPUTE_LEVEL
+    COMPUTE_LEVEL = COMPUTE_LEVEL,
+    BASE_HOOK = BASE_HOOK
   }
   platforms = ["linux/${ARCH}"]
 }
@@ -63,23 +79,14 @@ target "trt-deps" {
   inherits = ["_build_args"]
 }
 
-target "tensorrt-base" {
-  dockerfile = "docker/tensorrt/Dockerfile.base"
-  context = "."
-  contexts = {
-    deps = "target:deps",
-  }
-  inherits = ["_build_args"]
-}
-
 target "tensorrt" {
   dockerfile = "docker/tensorrt/Dockerfile.${ARCH}"
   context = "."
   contexts = {
     wget = "target:wget",
-    tensorrt-base = "target:tensorrt-base",
+    wheels = "target:wheels",
+    deps = "target:deps",
     rootfs = "target:rootfs"
-    wheels = "target:wheels"
   }
   target = "frigate-tensorrt"
   inherits = ["_build_args"]
diff --git a/docker/tensorrt/trt.mk b/docker/tensorrt/trt.mk
index 455e1ee11..904a2c340 100644
--- a/docker/tensorrt/trt.mk
+++ b/docker/tensorrt/trt.mk
@@ -1,41 +1,41 @@
 BOARDS += trt
 
-JETPACK4_BASE ?= timongentzsch/l4t-ubuntu20-opencv:latest	# L4T 32.7.1 JetPack 4.6.1
 JETPACK5_BASE ?= nvcr.io/nvidia/l4t-tensorrt:r8.5.2-runtime	# L4T 35.3.1 JetPack 5.1.1
+JETPACK6_BASE ?= nvcr.io/nvidia/tensorrt:23.12-py3-igpu
 X86_DGPU_ARGS := ARCH=amd64 COMPUTE_LEVEL="50 60 70 80 90"
-JETPACK4_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK4_BASE) SLIM_BASE=$(JETPACK4_BASE) TRT_BASE=$(JETPACK4_BASE)
 JETPACK5_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK5_BASE) SLIM_BASE=$(JETPACK5_BASE) TRT_BASE=$(JETPACK5_BASE)
+JETPACK6_ARGS := ARCH=arm64 BASE_IMAGE=$(JETPACK6_BASE) SLIM_BASE=$(JETPACK6_BASE) TRT_BASE=$(JETPACK6_BASE)
 
 local-trt: version
 	$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=frigate:latest-tensorrt \
 		--load
 
-local-trt-jp4: version
-	$(JETPACK4_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
-		--set tensorrt.tags=frigate:latest-tensorrt-jp4 \
-		--load
-
 local-trt-jp5: version
 	$(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=frigate:latest-tensorrt-jp5 \
 		--load
 
+local-trt-jp6: version
+	$(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
+		--set tensorrt.tags=frigate:latest-tensorrt-jp6 \
+		--load
+
 build-trt:
 	$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt
-	$(JETPACK4_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
-		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp4
 	$(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5
+	$(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
+		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp6
 
 push-trt: build-trt
 	$(X86_DGPU_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt \
 		--push
-	$(JETPACK4_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
-		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp4 \
-		--push
 	$(JETPACK5_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
 		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp5 \
 		--push
+	$(JETPACK6_ARGS) docker buildx bake --file=docker/tensorrt/trt.hcl tensorrt \
+		--set tensorrt.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt-jp6 \
+		--push
diff --git a/docs/docs/configuration/advanced.md b/docs/docs/configuration/advanced.md
index 3068ec8f8..818440fae 100644
--- a/docs/docs/configuration/advanced.md
+++ b/docs/docs/configuration/advanced.md
@@ -32,19 +32,19 @@ Examples of available modules are:
 
 #### Go2RTC Logging
 
-See [the go2rtc docs](for logging configuration)
+See [the go2rtc docs](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#module-log) for logging configuration
 
 ```yaml
 go2rtc:
   streams:
-    ...
+    # ...
   log:
     exec: trace
 ```
 
 ### `environment_vars`
 
-This section can be used to set environment variables for those unable to modify the environment of the container (ie. within HassOS)
+This section can be used to set environment variables for those unable to modify the environment of the container, like within Home Assistant OS.
 
 Example:
 
@@ -172,27 +172,57 @@ listen [::]:8971 ipv6only=off ssl;
 listen [::]:5000 ipv6only=off;
 ```
 
+## Base path
+
+By default, Frigate runs at the root path (`/`). However some setups require to run Frigate under a custom path prefix (e.g. `/frigate`), especially when Frigate is located behind a reverse proxy that requires path-based routing.
+
+### Set Base Path via HTTP Header
+The preferred way to configure the base path is through the `X-Ingress-Path` HTTP header, which needs to be set to the desired base path in an upstream reverse proxy.
+
+For example, in Nginx:
+```
+location /frigate {
+    proxy_set_header X-Ingress-Path /frigate;
+    proxy_pass http://frigate_backend;
+}
+```
+
+### Set Base Path via Environment Variable
+When it is not feasible to set the base path via a HTTP header, it can also be set via the `FRIGATE_BASE_PATH` environment variable in the Docker Compose file.
+
+For example:
+```
+services:
+  frigate:
+    image: blakeblackshear/frigate:latest
+    environment:
+      - FRIGATE_BASE_PATH=/frigate
+```
+
+This can be used for example to access Frigate via a Tailscale agent (https), by simply forwarding all requests to the base path (http):
+```
+tailscale serve --https=443 --bg --set-path /frigate http://localhost:5000/frigate
+```
+
 ## Custom Dependencies
 
 ### Custom ffmpeg build
 
-Included with Frigate is a build of ffmpeg that works for the vast majority of users. However, there exists some hardware setups which have incompatibilities with the included build. In this case, statically built ffmpeg binary can be downloaded to /config and used.
+Included with Frigate is a build of ffmpeg that works for the vast majority of users. However, there exists some hardware setups which have incompatibilities with the included build. In this case, statically built `ffmpeg` and `ffprobe` binaries can be placed in `/config/custom-ffmpeg/bin` for Frigate to use.
 
 To do this:
 
-1. Download your ffmpeg build and uncompress to the Frigate config folder.
-2. Update your docker-compose or docker CLI to include `'/home/appdata/frigate/custom-ffmpeg':'/usr/lib/btbn-ffmpeg':'ro'` in the volume mappings.
-3. Restart Frigate and the custom version will be used if the mapping was done correctly.
-
-NOTE: The folder that is set for the config needs to be the folder that contains `/bin`. So if the full structure is `/home/appdata/frigate/custom-ffmpeg/bin/ffmpeg` then the `ffmpeg -> path` field should be `/config/custom-ffmpeg/bin`.
+1. Download your ffmpeg build and uncompress it to the `/config/custom-ffmpeg` folder. Verify that both the `ffmpeg` and `ffprobe` binaries are located in `/config/custom-ffmpeg/bin`.
+2. Update the `ffmpeg.path` in your Frigate config to `/config/custom-ffmpeg`.
+3. Restart Frigate and the custom version will be used if the steps above were done correctly.
 
 ### Custom go2rtc version
 
-Frigate currently includes go2rtc v1.9.2, there may be certain cases where you want to run a different version of go2rtc.
+Frigate currently includes go2rtc v1.9.9, there may be certain cases where you want to run a different version of go2rtc.
 
 To do this:
 
-1. Download the go2rtc build to the /config folder.
+1. Download the go2rtc build to the `/config` folder.
 2. Rename the build to `go2rtc`.
 3. Give `go2rtc` execute permission.
 4. Restart Frigate and the custom version will be used, you can verify by checking go2rtc logs.
diff --git a/docs/docs/configuration/authentication.md b/docs/docs/configuration/authentication.md
index dba9360ac..bf878d6bd 100644
--- a/docs/docs/configuration/authentication.md
+++ b/docs/docs/configuration/authentication.md
@@ -43,13 +43,28 @@ Restarting Frigate will reset the rate limits.
 
 If you are running Frigate behind a proxy, you will want to set `trusted_proxies` or these rate limits will apply to the upstream proxy IP address. This means that a brute force attack will rate limit login attempts from other devices and could temporarily lock you out of your instance. In order to ensure rate limits only apply to the actual IP address where the requests are coming from, you will need to list the upstream networks that you want to trust. These trusted proxies are checked against the `X-Forwarded-For` header when looking for the IP address where the request originated.
 
-If you are running a reverse proxy in the same docker compose file as Frigate, here is an example of how your auth config might look:
+If you are running a reverse proxy in the same Docker Compose file as Frigate, here is an example of how your auth config might look:
 
 ```yaml
 auth:
   failed_login_rate_limit: "1/second;5/minute;20/hour"
   trusted_proxies:
-    - 172.18.0.0/16 # <---- this is the subnet for the internal docker compose network
+    - 172.18.0.0/16 # <---- this is the subnet for the internal Docker Compose network
+```
+
+## Session Length
+
+The default session length for user authentication in Frigate is 24 hours. This setting determines how long a user's authenticated session remains active before a token refresh is required — otherwise, the user will need to log in again.
+
+While the default provides a balance of security and convenience, you can customize this duration to suit your specific security requirements and user experience preferences. The session length is configured in seconds.
+
+The default value of `86400` will expire the authentication session after 24 hours. Some other examples:
+- `0`: Setting the session length to 0 will require a user to log in every time they access the application or after a very short, immediate timeout.
+- `604800`: Setting the session length to 604800 will require a user to log in if the token is not refreshed for 7 days.
+
+```yaml
+auth:
+  session_length: 86400
 ```
 
 ## JWT Token Secret
@@ -66,7 +81,7 @@ Frigate looks for a JWT token secret in the following order:
 
 1. An environment variable named `FRIGATE_JWT_SECRET`
 2. A docker secret named `FRIGATE_JWT_SECRET` in `/run/secrets/`
-3. A `jwt_secret` option from the Home Assistant Addon options
+3. A `jwt_secret` option from the Home Assistant Add-on options
 4. A `.jwt_secret` file in the config directory
 
 If no secret is found on startup, Frigate generates one and stores it in a `.jwt_secret` file in the config directory.
@@ -77,7 +92,7 @@ Changing the secret will invalidate current tokens.
 
 Frigate can be configured to leverage features of common upstream authentication proxies such as Authelia, Authentik, oauth2_proxy, or traefik-forward-auth.
 
-If you are leveraging the authentication of an upstream proxy, you likely want to disable Frigate's authentication. Optionally, if communication between the reverse proxy and Frigate is over an untrusted network, you should set an `auth_secret` in the `proxy` config and configure the proxy to send the secret value as a header named `X-Proxy-Secret`. Assuming this is an untrusted network, you will also want to [configure a real TLS certificate](tls.md) to ensure the traffic can't simply be sniffed to steal the secret.
+If you are leveraging the authentication of an upstream proxy, you likely want to disable Frigate's authentication as there is no correspondence between users in Frigate's database and users authenticated via the proxy. Optionally, if communication between the reverse proxy and Frigate is over an untrusted network, you should set an `auth_secret` in the `proxy` config and configure the proxy to send the secret value as a header named `X-Proxy-Secret`. Assuming this is an untrusted network, you will also want to [configure a real TLS certificate](tls.md) to ensure the traffic can't simply be sniffed to steal the secret.
 
 Here is an example of how to disable Frigate's authentication and also ensure the requests come only from your known proxy.
 
@@ -97,15 +112,44 @@ python3 -c 'import secrets; print(secrets.token_hex(64))'
 
 ### Header mapping
 
-If you have disabled Frigate's authentication and your proxy supports passing a header with the authenticated username, you can use the `header_map` config to specify the header name so it is passed to Frigate. For example, the following will map the `X-Forwarded-User` value. Header names are not case sensitive.
+If you have disabled Frigate's authentication and your proxy supports passing a header with authenticated usernames and/or roles, you can use the `header_map` config to specify the header name so it is passed to Frigate. For example, the following will map the `X-Forwarded-User` and `X-Forwarded-Groups` values. Header names are not case sensitive. Multiple values can be included in the role header. Frigate expects that the character separating the roles is a comma, but this can be specified using the `separator` config entry.
 
 ```yaml
 proxy:
   ...
+  separator: "|" # This value defaults to a comma, but Authentik uses a pipe, for example.
   header_map:
     user: x-forwarded-user
+    role: x-forwarded-groups
 ```
 
+Frigate supports both `admin` and `viewer` roles (see below). When using port `8971`, Frigate validates these headers and subsequent requests use the headers `remote-user` and `remote-role` for authorization.
+
+A default role can be provided. Any value in the mapped `role` header will override the default.
+
+```yaml
+proxy:
+  ...
+  default_role: viewer
+```
+
+#### Port Considerations
+
+**Authenticated Port (8971)**
+
+- Header mapping is **fully supported**.
+- The `remote-role` header determines the user’s privileges:
+  - **admin** → Full access (user management, configuration changes).
+  - **viewer** → Read-only access.
+- Ensure your **proxy sends both user and role headers** for proper role enforcement.
+
+**Unauthenticated Port (5000)**
+
+- Headers are **ignored** for role enforcement.
+- All requests are treated as **anonymous**.
+- The `remote-role` value is **overridden** to **admin-level access**.
+- This design ensures **unauthenticated internal use** within a trusted network.
+
 Note that only the following list of headers are permitted by default:
 
 ```
@@ -126,8 +170,6 @@ X-authentik-uid
 
 If you would like to add more options, you can overwrite the default file with a docker bind mount at `/usr/local/nginx/conf/proxy_trusted_headers.conf`. Reference the source code for the default file formatting.
 
-Future versions of Frigate may leverage group and role headers for authorization in Frigate as well.
-
 ### Login page redirection
 
 Frigate gracefully performs login page redirection that should work with most authentication proxies. If your reverse proxy returns a `Location` header on `401`, `302`, or `307` unauthorized responses, Frigate's frontend will automatically detect it and redirect to that URL.
@@ -135,3 +177,31 @@ Frigate gracefully performs login page redirection that should work with most au
 ### Custom logout url
 
 If your reverse proxy has a dedicated logout url, you can specify using the `logout_url` config option. This will update the link for the `Logout` link in the UI.
+
+## User Roles
+
+Frigate supports user roles to control access to certain features in the UI and API, such as managing users or modifying configuration settings. Roles are assigned to users in the database or through proxy headers and are enforced when accessing the UI or API through the authenticated port (`8971`).
+
+### Supported Roles
+
+- **admin**: Full access to all features, including user management and configuration.
+- **viewer**: Read-only access to the UI and API, including viewing cameras, review items, and historical footage. Configuration editor and settings in the UI are inaccessible.
+
+### Role Enforcement
+
+When using the authenticated port (`8971`), roles are validated via the JWT token or proxy headers (e.g., `remote-role`).
+
+On the internal **unauthenticated** port (`5000`), roles are **not enforced**. All requests are treated as **anonymous**, granting access equivalent to the **admin** role without restrictions.
+
+To use role-based access control, you must connect to Frigate via the **authenticated port (`8971`)** directly or through a reverse proxy.
+
+### Role Visibility in the UI
+
+- When logged in via port `8971`, your **username and role** are displayed in the **account menu** (bottom corner).
+- When using port `5000`, the UI will always display "anonymous" for the username and "admin" for the role.
+
+### Managing User Roles
+
+1. Log in as an **admin** user via port `8971`.
+2. Navigate to **Settings > Users**.
+3. Edit a user’s role by selecting **admin** or **viewer**.
diff --git a/docs/docs/configuration/autotracking.md b/docs/docs/configuration/autotracking.md
index 9545fa7d3..c053ef369 100644
--- a/docs/docs/configuration/autotracking.md
+++ b/docs/docs/configuration/autotracking.md
@@ -167,3 +167,7 @@ To maintain object tracking during PTZ moves, Frigate tracks the motion of your
 ### Calibration seems to have completed, but the camera is not actually moving to track my object. Why?
 
 Some cameras have firmware that reports that FOV RelativeMove, the ONVIF command that Frigate uses for autotracking, is supported. However, if the camera does not pan or tilt when an object comes into the required zone, your camera's firmware does not actually support FOV RelativeMove. One such camera is the Uniview IPC672LR-AX4DUPK. It actually moves its zoom motor instead of panning and tilting and does not follow the ONVIF standard whatsoever.
+
+### Frigate reports an error saying that calibration has failed. Why?
+
+Calibration measures the amount of time it takes for Frigate to make a series of movements with your PTZ. This error message is recorded in the log if these values are too high for Frigate to support calibrated autotracking. This is often the case when your camera's motor or network connection is too slow or your camera's firmware doesn't report the motor status in a timely manner. You can try running without calibration (just remove the `movement_weights` line from your config and restart), but if calibration fails, this often means that autotracking will behave unpredictably.
diff --git a/docs/docs/configuration/bird_classification.md b/docs/docs/configuration/bird_classification.md
new file mode 100644
index 000000000..398729290
--- /dev/null
+++ b/docs/docs/configuration/bird_classification.md
@@ -0,0 +1,31 @@
+---
+id: bird_classification
+title: Bird Classification
+---
+
+Bird classification identifies known birds using a quantized Tensorflow model. When a known bird is recognized, its common name will be added as a `sub_label`. This information is included in the UI, filters, as well as in notifications.
+
+## Minimum System Requirements
+
+Bird classification runs a lightweight tflite model on the CPU, there are no significantly different system requirements than running Frigate itself.
+
+## Model
+
+The classification model used is the MobileNet INat Bird Classification, [available identifiers can be found here.](https://raw.githubusercontent.com/google-coral/test_data/master/inat_bird_labels.txt)
+
+## Configuration
+
+Bird classification is disabled by default, it must be enabled in your config file before it can be used. Bird classification is a global configuration setting.
+
+```yaml
+classification:
+  bird:
+    enabled: true
+```
+
+## Advanced Configuration
+
+Fine-tune bird classification with these optional parameters:
+
+- `threshold`: Classification confidence score required to set the sub label on the object.
+  - Default: `0.9`.
diff --git a/docs/docs/configuration/birdseye.md b/docs/docs/configuration/birdseye.md
index 2c9fbbdf4..d4bd1a15e 100644
--- a/docs/docs/configuration/birdseye.md
+++ b/docs/docs/configuration/birdseye.md
@@ -4,7 +4,7 @@ In addition to Frigate's Live camera dashboard, Birdseye allows a portable heads
 
 Birdseye can be viewed by adding the "Birdseye" camera to a Camera Group in the Web UI. Add a Camera Group by pressing the "+" icon on the Live page, and choose "Birdseye" as one of the cameras.
 
-Birdseye can also be used in HomeAssistant dashboards, cast to media devices, etc.
+Birdseye can also be used in Home Assistant dashboards, cast to media devices, etc.
 
 ## Birdseye Behavior
 
diff --git a/docs/docs/configuration/camera_specific.md b/docs/docs/configuration/camera_specific.md
index 9add6015c..644054d7a 100644
--- a/docs/docs/configuration/camera_specific.md
+++ b/docs/docs/configuration/camera_specific.md
@@ -15,6 +15,17 @@ Many cameras support encoding options which greatly affect the live view experie
 
 :::
 
+## H.265 Cameras via Safari
+
+Some cameras support h265 with different formats, but Safari only supports the annexb format. When using h265 camera streams for recording with devices that use the Safari browser, the `apple_compatibility` option should be used.
+
+```yaml
+cameras:
+  h265_cam: # <------ Doesn't matter what the camera is called
+    ffmpeg:
+      apple_compatibility: true # <- Adds compatibility with MacOS and iPhone
+```
+
 ## MJPEG Cameras
 
 Note that mjpeg cameras require encoding the video into h264 for recording, and restream roles. This will use significantly more CPU than if the cameras supported h264 feeds directly. It is recommended to use the restream role to create an h264 restream and then use that as the source for ffmpeg.
@@ -22,7 +33,7 @@ Note that mjpeg cameras require encoding the video into h264 for recording, and
 ```yaml
 go2rtc:
   streams:
-    mjpeg_cam: "ffmpeg:{your_mjpeg_stream_url}#video=h264#hardware" # <- use hardware acceleration to create an h264 stream usable for other components.
+    mjpeg_cam: "ffmpeg:http://your_mjpeg_stream_url#video=h264#hardware" # <- use hardware acceleration to create an h264 stream usable for other components.
 
 cameras:
   ...
@@ -79,14 +90,15 @@ rtsp://USERNAME:PASSWORD@CAMERA-IP/cam/realmonitor?channel=1&subtype=3 # new hig
 
 ### Annke C800
 
-This camera is H.265 only. To be able to play clips on some devices (like MacOs or iPhone) the H.265 stream has to be repackaged and the audio stream has to be converted to aac. Unfortunately direct playback of in the browser is not working (yet), but the downloaded clip can be played locally.
+This camera is H.265 only. To be able to play clips on some devices (like MacOs or iPhone) the H.265 stream has to be adjusted using the `apple_compatibility` config.
 
 ```yaml
 cameras:
   annkec800: # <------ Name the camera
     ffmpeg:
+      apple_compatibility: true # <- Adds compatibility with MacOS and iPhone
       output_args:
-        record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -tag:v hvc1 -bsf:v hevc_mp4toannexb -c:a aac
+        record: preset-record-generic-audio-aac
 
       inputs:
         - path: rtsp://USERNAME:PASSWORD@CAMERA-IP/H264/ch1/main/av_stream # <----- Update for your camera
@@ -218,7 +230,7 @@ go2rtc:
       - rtspx://192.168.1.1:7441/abcdefghijk
 ```
 
-[See the go2rtc docs for more information](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#source-rtsp)
+[See the go2rtc docs for more information](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#source-rtsp)
 
 In the Unifi 2.0 update Unifi Protect Cameras had a change in audio sample rate which causes issues for ffmpeg. The input rate needs to be set for record if used directly with unifi protect.
 
diff --git a/docs/docs/configuration/cameras.md b/docs/docs/configuration/cameras.md
index 73f1991fc..41b15d637 100644
--- a/docs/docs/configuration/cameras.md
+++ b/docs/docs/configuration/cameras.md
@@ -7,7 +7,7 @@ title: Camera Configuration
 
 Several inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create recordings from a higher resolution stream, or vice versa.
 
-A camera is enabled by default but can be temporarily disabled by using `enabled: False`. Existing tracked objects and recordings can still be accessed. Live streams, recording and detecting are not working. Camera specific configurations will be used.
+A camera is enabled by default but can be disabled by using `enabled: False`. Cameras that are disabled through the configuration file will not appear in the Frigate UI and will not consume system resources.
 
 Each role can only be assigned to one input per camera. The options for roles are as follows:
 
@@ -97,8 +97,9 @@ This list of working and non-working PTZ cameras is based on user feedback.
 | Amcrest ASH21                |      ✅      |      ❌      | ONVIF service port: 80                                                                                                                          |
 | Amcrest IP4M-S2112EW-AI      |      ✅      |      ❌      | FOV relative movement not supported.                                                                                                            |
 | Amcrest IP5M-1190EW          |      ✅      |      ❌      | ONVIF Port: 80. FOV relative movement not supported.                                                                                            |
+| Annke CZ504                  |      ✅      |      ✅      | Annke support provide specific firmware ([V5.7.1 build 250227](https://github.com/pierrepinon/annke_cz504/raw/refs/heads/main/digicap_V5-7-1_build_250227.dav)) to fix issue with ONVIF "TranslationSpaceFov" |
 | Ctronics PTZ                 |      ✅      |      ❌      |                                                                                                                                                 |
-| Dahua                        |      ✅      |      ✅      |                                                                                                                                                 |
+| Dahua                        |      ✅      |      ✅      | Some low-end Dahuas (lite series, among others) have been reported to not support autotracking                                                  |
 | Dahua DH-SD2A500HB           |      ✅      |      ❌      |                                                                                                                                                 |
 | Dahua DH-SD49825GB-HNR       |      ✅      |      ✅      |                                                                                                                                                 |
 | Dahua DH-P5AE-PV             |      ❌      |      ❌      |                                                                                                                                                 |
diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md
new file mode 100644
index 000000000..3026615d4
--- /dev/null
+++ b/docs/docs/configuration/face_recognition.md
@@ -0,0 +1,208 @@
+---
+id: face_recognition
+title: Face Recognition
+---
+
+Face recognition identifies known individuals by matching detected faces with previously learned facial data. When a known `person` is recognized, their name will be added as a `sub_label`. This information is included in the UI, filters, as well as in notifications.
+
+## Model Requirements
+
+### Face Detection
+
+When running a Frigate+ model (or any custom model that natively detects faces) should ensure that `face` is added to the [list of objects to track](../plus/#available-label-types) either globally or for a specific camera. This will allow face detection to run at the same time as object detection and be more efficient.
+
+When running a default COCO model or another model that does not include `face` as a detectable label, face detection will run via CV2 using a lightweight DNN model that runs on the CPU. In this case, you should _not_ define `face` in your list of objects to track.
+
+:::note
+
+Frigate needs to first detect a `person` before it can detect and recognize a face.
+
+:::
+
+### Face Recognition
+
+Frigate has support for two face recognition model types:
+
+- **small**: Frigate will run a FaceNet embedding model to recognize faces, which runs locally on the CPU. This model is optimized for efficiency and is not as accurate.
+- **large**: Frigate will run a large ArcFace embedding model that is optimized for accuracy. It is only recommended to be run when an integrated or dedicated GPU is available.
+
+In both cases, a lightweight face landmark detection model is also used to align faces before running recognition.
+
+All of these features run locally on your system.
+
+## Minimum System Requirements
+
+The `small` model is optimized for efficiency and runs on the CPU, most CPUs should run the model efficiently.
+
+The `large` model is optimized for accuracy, an integrated or discrete GPU is required. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation.
+
+## Configuration
+
+Face recognition is disabled by default, face recognition must be enabled in the UI or in your config file before it can be used. Face recognition is a global configuration setting.
+
+```yaml
+face_recognition:
+  enabled: true
+```
+
+Like the other real-time processors in Frigate, face recognition runs on the camera stream defined by the `detect` role in your config. To ensure optimal performance, select a suitable resolution for this stream in your camera's firmware that fits your specific scene and requirements.
+
+## Advanced Configuration
+
+Fine-tune face recognition with these optional parameters at the global level of your config. The only optional parameters that can be set at the camera level are `enabled` and `min_area`.
+
+### Detection
+
+- `detection_threshold`: Face detection confidence score required before recognition runs:
+  - Default: `0.7`
+  - Note: This is field only applies to the standalone face detection model, `min_score` should be used to filter for models that have face detection built in.
+- `min_area`: Defines the minimum size (in pixels) a face must be before recognition runs.
+  - Default: `500` pixels.
+  - Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant faces.
+
+### Recognition
+
+- `model_size`: Which model size to use, options are `small` or `large`
+- `unknown_score`: Min score to mark a person as a potential match, matches at or below this will be marked as unknown.
+  - Default: `0.8`.
+- `recognition_threshold`: Recognition confidence score required to add the face to the object as a sub label.
+  - Default: `0.9`.
+- `min_faces`: Min face recognitions for the sub label to be applied to the person object.
+  - Default: `1`
+- `save_attempts`: Number of images of recognized faces to save for training.
+  - Default: `100`.
+- `blur_confidence_filter`: Enables a filter that calculates how blurry the face is and adjusts the confidence based on this.
+  - Default: `True`.
+
+## Usage
+
+Follow these steps to begin:
+
+1. **Enable face recognition** in your configuration file and restart Frigate.
+2. **Upload one face** using the **Add Face** button's wizard in the Face Library section of the Frigate UI. Read below for the best practices on expanding your training set.
+3. When Frigate detects and attempts to recognize a face, it will appear in the **Train** tab of the Face Library, along with its associated recognition confidence.
+4. From the **Train** tab, you can **assign the face** to a new or existing person to improve recognition accuracy for the future.
+
+## Creating a Robust Training Set
+
+The number of images needed for a sufficient training set for face recognition varies depending on several factors:
+
+- Diversity of the dataset: A dataset with diverse images, including variations in lighting, pose, and facial expressions, will require fewer images per person than a less diverse dataset.
+- Desired accuracy: The higher the desired accuracy, the more images are typically needed.
+
+However, here are some general guidelines:
+
+- Minimum: For basic face recognition tasks, a minimum of 5-10 images per person is often recommended.
+- Recommended: For more robust and accurate systems, 20-30 images per person is a good starting point.
+- Ideal: For optimal performance, especially in challenging conditions, 50-100 images per person can be beneficial.
+
+The accuracy of face recognition is heavily dependent on the quality of data given to it for training. It is recommended to build the face training library in phases.
+
+:::tip
+
+When choosing images to include in the face training set it is recommended to always follow these recommendations:
+
+- If it is difficult to make out details in a persons face it will not be helpful in training.
+- Avoid images with extreme under/over-exposure.
+- Avoid blurry / pixelated images.
+- Avoid training on infrared (gray-scale). The models are trained on color images and will be able to extract features from gray-scale images.
+- Using images of people wearing hats / sunglasses may confuse the model.
+- Do not upload too many similar images at the same time, it is recommended to train no more than 4-6 similar images for each person to avoid over-fitting.
+
+:::
+
+### Understanding the Train Tab
+
+The Train tab in the face library displays recent face recognition attempts. Detected face images are grouped according to the person they were identified as potentially matching.
+
+Each face image is labeled with a name (or `Unknown`) along with the confidence score of the recognition attempt. While each image can be used to train the system for a specific person, not all images are suitable for training.
+
+Refer to the guidelines below for best practices on selecting images for training.
+
+### Step 1 - Building a Strong Foundation
+
+When first enabling face recognition it is important to build a foundation of strong images. It is recommended to start by uploading 1-5 photos containing just this person's face. It is important that the person's face in the photo is front-facing and not turned, this will ensure a good starting point.
+
+Then it is recommended to use the `Face Library` tab in Frigate to select and train images for each person as they are detected. When building a strong foundation it is strongly recommended to only train on images that are front-facing. Ignore images from cameras that recognize faces from an angle. Aim to strike a balance between the quality of images while also having a range of conditions (day / night, different weather conditions, different times of day, etc.) in order to have diversity in the images used for each person and not have over-fitting.
+
+You do not want to train images that are 90%+ as these are already being confidently recognized. In this step the goal is to train on clear, lower scoring front-facing images until the majority of front-facing images for a given person are consistently recognized correctly. Then it is time to move on to step 2.
+
+### Step 2 - Expanding The Dataset
+
+Once front-facing images are performing well, start choosing slightly off-angle images to include for training. It is important to still choose images where enough face detail is visible to recognize someone, and you still only want to train on images that score lower.
+
+## FAQ
+
+### How do I debug Face Recognition issues?
+
+Start with the [Usage](#usage) section and re-read the [Model Requirements](#model-requirements) above.
+
+1. Ensure `person` is being _detected_. A `person` will automatically be scanned by Frigate for a face. Any detected faces will appear in the Train tab in the Frigate UI's Face Library.
+
+   If you are using a Frigate+ or `face` detecting model:
+
+   - Watch the debug view (Settings --> Debug) to ensure that `face` is being detected along with `person`.
+   - You may need to adjust the `min_score` for the `face` object if faces are not being detected.
+
+   If you are **not** using a Frigate+ or `face` detecting model:
+
+   - Check your `detect` stream resolution and ensure it is sufficiently high enough to capture face details on `person` objects.
+   - You may need to lower your `detection_threshold` if faces are not being detected.
+
+2. Any detected faces will then be _recognized_.
+
+   - Make sure you have trained at least one face per the recommendations above.
+   - Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).
+
+### Detection does not work well with blurry images?
+
+Accuracy is definitely a going to be improved with higher quality cameras / streams. It is important to look at the DORI (Detection Observation Recognition Identification) range of your camera, if that specification is posted. This specification explains the distance from the camera that a person can be detected, observed, recognized, and identified. The identification range is the most relevant here, and the distance listed by the camera is the furthest that face recognition will realistically work.
+
+### Why can't I bulk upload photos?
+
+It is important to methodically add photos to the library, bulk importing photos (especially from a general photo library) will lead to over-fitting in that particular scenario and hurt recognition performance.
+
+### Why can't I bulk reprocess faces?
+
+Face embedding models work by breaking apart faces into different features. This means that when reprocessing an image, only images from a similar angle will have its score affected.
+
+### Why do unknown people score similarly to known people?
+
+This can happen for a few different reasons, but this is usually an indicator that the training set needs to be improved. This is often related to over-fitting:
+
+- If you train with only a few images per person, especially if those images are very similar, the recognition model becomes overly specialized to those specific images.
+- When you provide images with different poses, lighting, and expressions, the algorithm extracts features that are consistent across those variations.
+- By training on a diverse set of images, the algorithm becomes less sensitive to minor variations and noise in the input image.
+
+Review your face collections and remove most of the unclear or low-quality images. Then, use the **Reprocess** button on each face in the **Train** tab to evaluate how the changes affect recognition scores.
+
+Avoid training on images that already score highly, as this can lead to over-fitting. Instead, focus on relatively clear images that score lower - ideally with different lighting, angles, and conditions—to help the model generalize more effectively.
+
+### Frigate misidentified a face. Can I tell it that a face is "not" a specific person?
+
+No, face recognition does not support negative training (i.e., explicitly telling it who someone is _not_). Instead, the best approach is to improve the training data by using a more diverse and representative set of images for each person.
+For more guidance, refer to the section above on improving recognition accuracy.
+
+### I see scores above the threshold in the train tab, but a sub label wasn't assigned?
+
+The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results.
+
+### Can I use other face recognition software like DoubleTake at the same time as the built in face recognition?
+
+No, using another face recognition service will interfere with Frigate's built in face recognition. When using double-take the sub_label feature must be disabled if the built in face recognition is also desired.
+
+### Does face recognition run on the recording stream?
+
+Face recognition does not run on the recording stream, this would be suboptimal for many reasons:
+
+1. The latency of accessing the recordings means the notifications would not include the names of recognized people because recognition would not complete until after.
+2. The embedding models used run on a set image size, so larger images will be scaled down to match this anyway.
+3. Motion clarity is much more important than extra pixels, over-compression and motion blur are much more detrimental to results than resolution.
+
+### I get an unknown error when taking a photo directly with my iPhone
+
+By default iOS devices will use HEIC (High Efficiency Image Container) for images, but this format is not supported for uploads. Choosing `large` as the format instead of `original` will use JPG which will work correctly.
+
+### How can I delete the face database and start over?
+
+Frigate does not store anything in its database related to face recognition. You can simply delete all of your faces through the Frigate UI or remove the contents of the `/media/frigate/clips/faces` directory.
diff --git a/docs/docs/configuration/ffmpeg_presets.md b/docs/docs/configuration/ffmpeg_presets.md
index 0dc8cdedd..8fd0fd811 100644
--- a/docs/docs/configuration/ffmpeg_presets.md
+++ b/docs/docs/configuration/ffmpeg_presets.md
@@ -9,7 +9,7 @@ Some presets of FFmpeg args are provided by default to make the configuration ea
 
 It is highly recommended to use hwaccel presets in the config. These presets not only replace the longer args, but they also give Frigate hints of what hardware is available and allows Frigate to make other optimizations using the GPU such as when encoding the birdseye restream or when scaling a stream that has a size different than the native stream size.
 
-See [the hwaccel docs](/configuration/hardware_acceleration.md) for more info on how to setup hwaccel for your GPU / iGPU.
+See [the hwaccel docs](/configuration/hardware_acceleration_video.md) for more info on how to setup hwaccel for your GPU / iGPU.
 
 | Preset                | Usage                          | Other Notes                                           |
 | --------------------- | ------------------------------ | ----------------------------------------------------- |
@@ -71,11 +71,11 @@ cameras:
 
 Output args presets help make the config more readable and handle use cases for different types of streams to ensure consistent recordings.
 
-| Preset                           | Usage                             | Other Notes                                                                                                                          |
-| -------------------------------- | --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
-| preset-record-generic            | Record WITHOUT audio              | This is the default when nothing is specified                                                                                        |
-| preset-record-generic-audio-copy | Record WITH original audio        | Use this to enable audio in recordings                                                                                               |
-| preset-record-generic-audio-aac  | Record WITH transcoded aac audio  | Use this to transcode to aac audio. If your source is already aac, use preset-record-generic-audio-copy instead to avoid re-encoding |
-| preset-record-mjpeg              | Record an mjpeg stream            | Recommend restreaming mjpeg stream instead                                                                                           |
-| preset-record-jpeg               | Record live jpeg                  | Recommend restreaming live jpeg instead                                                                                              |
-| preset-record-ubiquiti           | Record ubiquiti stream with audio | Recordings with ubiquiti non-standard audio                                                                                          |
+| Preset                           | Usage                             | Other Notes                                                                                                                                                                                              |
+| -------------------------------- | --------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| preset-record-generic            | Record WITHOUT audio              | If your camera doesn’t have audio, or if you don’t want to record audio, use this option                                                                                                                 |
+| preset-record-generic-audio-copy | Record WITH original audio        | Use this to enable audio in recordings                                                                                                                                                                   |
+| preset-record-generic-audio-aac  | Record WITH transcoded aac audio  | This is the default when no option is specified. Use it to transcode audio to AAC. If the source is already in AAC format, use preset-record-generic-audio-copy instead to avoid unnecessary re-encoding |
+| preset-record-mjpeg              | Record an mjpeg stream            | Recommend restreaming mjpeg stream instead                                                                                                                                                               |
+| preset-record-jpeg               | Record live jpeg                  | Recommend restreaming live jpeg instead                                                                                                                                                                  |
+| preset-record-ubiquiti           | Record ubiquiti stream with audio | Recordings with ubiquiti non-standard audio                                                                                                                                                              |
diff --git a/docs/docs/configuration/genai.md b/docs/docs/configuration/genai.md
index 832398df9..f76c075b7 100644
--- a/docs/docs/configuration/genai.md
+++ b/docs/docs/configuration/genai.md
@@ -5,13 +5,7 @@ title: Generative AI
 
 Generative AI can be used to automatically generate descriptive text based on the thumbnails of your tracked objects. This helps with [Semantic Search](/configuration/semantic_search) in Frigate to provide more context about your tracked objects. Descriptions are accessed via the _Explore_ view in the Frigate UI by clicking on a tracked object's thumbnail.
 
-Requests for a description are sent off automatically to your AI provider at the end of the tracked object's lifecycle. Descriptions can also be regenerated manually via the Frigate UI.
-
-:::info
-
-Semantic Search must be enabled to use Generative AI.
-
-:::
+Requests for a description are sent off automatically to your AI provider at the end of the tracked object's lifecycle, or can optionally be sent earlier after a number of significantly changed frames, for example in use in more real-time notifications. Descriptions can also be regenerated manually via the Frigate UI. Note that if you are manually entering a description for tracked objects prior to its end, this will be overwritten by the generated response.
 
 ## Configuration
 
@@ -171,6 +165,15 @@ While generating simple descriptions of detected objects is useful, understandin
 
 Frigate provides an [MQTT topic](/integrations/mqtt), `frigate/tracked_object_update`, that is updated with a JSON payload containing `event_id` and `description` when your AI provider returns a description for a tracked object. This description could be used directly in notifications, such as sending alerts to your phone or making audio announcements. If additional details from the tracked object are needed, you can query the [HTTP API](/integrations/api/event-events-event-id-get) using the `event_id`, eg: `http://frigate_ip:5000/api/events/<event_id>`.
 
+If looking to get notifications earlier than when an object ceases to be tracked, an additional send trigger can be configured of `after_significant_updates`.
+
+```yaml
+genai:
+  send_triggers:
+    tracked_object_end: true # default
+    after_significant_updates: 3 # how many updates to a tracked object before we should send an image
+```
+
 ## Custom Prompts
 
 Frigate sends multiple frames from the tracked object along with a prompt to your Generative AI provider asking it to generate a description. The default prompt is as follows:
@@ -181,7 +184,7 @@ Analyze the sequence of images containing the {label}. Focus on the likely inten
 
 :::tip
 
-Prompts can use variable replacements like `{label}`, `{sub_label}`, and `{camera}` to substitute information from the tracked object as part of the prompt.
+Prompts can use variable replacements `{label}`, `{sub_label}`, and `{camera}` to substitute information from the tracked object as part of the prompt.
 
 :::
 
diff --git a/docs/docs/configuration/hardware_acceleration_enrichments.md b/docs/docs/configuration/hardware_acceleration_enrichments.md
new file mode 100644
index 000000000..1f894d345
--- /dev/null
+++ b/docs/docs/configuration/hardware_acceleration_enrichments.md
@@ -0,0 +1,32 @@
+---
+id: hardware_acceleration_enrichments
+title: Enrichments
+---
+
+# Enrichments
+
+Some of Frigate's enrichments can use a discrete GPU for accelerated processing.
+
+## Requirements
+
+Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU and configure the enrichment according to its specific documentation.
+
+- **AMD**
+
+  - ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
+
+- **Intel**
+
+  - OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
+
+- **Nvidia**
+  - Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
+  - Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
+
+Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.
+
+:::note
+
+A Google Coral is a TPU (Tensor Processing Unit), not a dedicated GPU (Graphics Processing Unit) and therefore does not provide any kind of acceleration for Frigate's enrichments.
+
+:::
diff --git a/docs/docs/configuration/hardware_acceleration.md b/docs/docs/configuration/hardware_acceleration_video.md
similarity index 77%
rename from docs/docs/configuration/hardware_acceleration.md
rename to docs/docs/configuration/hardware_acceleration_video.md
index e70e57497..057ae223d 100644
--- a/docs/docs/configuration/hardware_acceleration.md
+++ b/docs/docs/configuration/hardware_acceleration_video.md
@@ -1,20 +1,20 @@
 ---
-id: hardware_acceleration
-title: Hardware Acceleration
+id: hardware_acceleration_video
+title: Video Decoding
 ---
 
-# Hardware Acceleration
+# Video Decoding
 
-It is highly recommended to use a GPU for hardware acceleration in Frigate. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg.
+It is highly recommended to use a GPU for hardware acceleration video decoding in Frigate. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg.
 
 Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
 
-# Officially Supported
+# Object Detection
 
 ## Raspberry Pi 3/4
 
 Ensure you increase the allocated RAM for your GPU to at least 128 (`raspi-config` > Performance Options > GPU Memory).
-If you are using the HA addon, you may need to use the full access variant and turn off `Protection mode` for hardware acceleration.
+If you are using the HA Add-on, you may need to use the full access variant and turn off _Protection mode_ for hardware acceleration.
 
 ```yaml
 # if you want to decode a h264 stream
@@ -28,8 +28,8 @@ ffmpeg:
 
 :::note
 
-If running Frigate in Docker, you either need to run in privileged mode or
-map the `/dev/video*` devices to Frigate. With Docker compose add:
+If running Frigate through Docker, you either need to run in privileged mode or
+map the `/dev/video*` devices to Frigate. With Docker Compose add:
 
 ```yaml
 services:
@@ -69,18 +69,19 @@ Or map in all the `/dev/video*` devices.
 
 **Recommended hwaccel Preset**
 
-| CPU Generation | Intel Driver | Recommended Preset | Notes                               |
-| -------------- | ------------ | ------------------ | ----------------------------------- |
-| gen1 - gen7    | i965         | preset-vaapi       | qsv is not supported                |
-| gen8 - gen12   | iHD          | preset-vaapi       | preset-intel-qsv-* can also be used |
-| gen13+         | iHD / Xe     | preset-intel-qsv-* |                                     |
-| Intel Arc GPU  | iHD / Xe     | preset-intel-qsv-* |                                     |
+| CPU Generation | Intel Driver | Recommended Preset  | Notes                                |
+| -------------- | ------------ | ------------------- | ------------------------------------ |
+| gen1 - gen5    | i965         | preset-vaapi        | qsv is not supported                 |
+| gen6 - gen7    | iHD          | preset-vaapi        | qsv is not supported                 |
+| gen8 - gen12   | iHD          | preset-vaapi        | preset-intel-qsv-\* can also be used |
+| gen13+         | iHD / Xe     | preset-intel-qsv-\* |                                      |
+| Intel Arc GPU  | iHD / Xe     | preset-intel-qsv-\* |                                      |
 
 :::
 
 :::note
 
-The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `frigate.yaml` for HA OS users](advanced.md#environment_vars).
+The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `config.yml` for HA Add-on users](advanced.md#environment_vars).
 
 See [The Intel Docs](https://www.intel.com/content/www/us/en/support/articles/000005505/processors.html) to figure out what generation your CPU is.
 
@@ -175,13 +176,33 @@ For more information on the various values across different distributions, see h
 
 Depending on your OS and kernel configuration, you may need to change the `/proc/sys/kernel/perf_event_paranoid` kernel tunable. You can test the change by running `sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'` which will persist until a reboot. Make it permanent by running `sudo sh -c 'echo kernel.perf_event_paranoid=2 >> /etc/sysctl.d/local.conf'`
 
+#### Stats for SR-IOV or other devices
+
+When using virtualized GPUs via SR-IOV, you need to specify the device path to use to gather stats from `intel_gpu_top`. This example may work for some systems using SR-IOV:
+
+```yaml
+telemetry:
+  stats:
+    intel_gpu_device: "sriov"
+```
+
+For other virtualized GPUs, try specifying the direct path to the device instead:
+
+```yaml
+telemetry:
+  stats:
+    intel_gpu_device: "drm:/dev/dri/card0"
+```
+
+If you are passing in a device path, make sure you've passed the device through to the container.
+
 ## AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
 
 VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams.
 
 :::note
 
-You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `frigate.yaml` for HA OS users](advanced.md#environment_vars).
+You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `config.yml` for HA Add-on users](advanced.md#environment_vars).
 
 :::
 
@@ -285,10 +306,7 @@ These instructions were originally based on the [Jellyfin documentation](https:/
 ## NVIDIA Jetson (Orin AGX, Orin NX, Orin Nano\*, Xavier AGX, Xavier NX, TX2, TX1, Nano)
 
 A separate set of docker images is available that is based on Jetpack/L4T. They come with an `ffmpeg` build
-with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 4.6, use the
-`stable-tensorrt-jp4` tagged image, or if your Jetson host is running Jetpack 5.0+, use the `stable-tensorrt-jp5`
-tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform,
-but the image will still allow hardware decoding and tensorrt object detection.
+with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 6.0+ use the `stable-tensorrt-jp6` tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform, but the image will still allow hardware decoding and tensorrt object detection.
 
 You will need to use the image with the nvidia container runtime:
 
@@ -298,17 +316,16 @@ You will need to use the image with the nvidia container runtime:
 docker run -d \
   ...
   --runtime nvidia
-  ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp5
+  ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp6
 ```
 
 ### Docker Compose - Jetson
 
 ```yaml
-version: '2.4'
 services:
   frigate:
     ...
-    image: ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp5
+    image: ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp6
     runtime: nvidia   # Add this
 ```
 
@@ -369,13 +386,8 @@ Make sure to follow the [Rockchip specific installation instructions](/frigate/i
 Add one of the following FFmpeg presets to your `config.yml` to enable hardware video processing:
 
 ```yaml
-# if you try to decode a h264 encoded stream
 ffmpeg:
-  hwaccel_args: preset-rk-h264
-
-# if you try to decode a h265 (hevc) encoded stream
-ffmpeg:
-  hwaccel_args: preset-rk-h265
+  hwaccel_args: preset-rkmpp
 ```
 
 :::note
@@ -383,3 +395,36 @@ ffmpeg:
 Make sure that your SoC supports hardware acceleration for your input stream. For example, if your camera streams with h265 encoding and a 4k resolution, your SoC must be able to de- and encode h265 with a 4k resolution or higher. If you are unsure whether your SoC meets the requirements, take a look at the datasheet.
 
 :::
+
+:::warning
+
+If one or more of your cameras are not properly processed and this error is shown in the logs:
+
+```
+[segment @ 0xaaaaff694790] Timestamps are unset in a packet for stream 0. This is deprecated and will stop working in the future. Fix your code to set the timestamps properly
+[Parsed_scale_rkrga_0 @ 0xaaaaff819070] No hw context provided on input
+[Parsed_scale_rkrga_0 @ 0xaaaaff819070] Failed to configure output pad on Parsed_scale_rkrga_0
+Error initializing filters!
+Error marking filters as finished
+[out#1/rawvideo @ 0xaaaaff3d8730] Nothing was written into output file, because at least one of its streams received no packets.
+Restarting ffmpeg...
+```
+
+you should try to uprade to FFmpeg 7. This can be done using this config option:
+
+```
+ffmpeg:
+  path: "7.0"
+```
+
+You can set this option globally to use FFmpeg 7 for all cameras or on camera level to use it only for specific cameras. Do not confuse this option with:
+
+```
+cameras:
+  name:
+    ffmpeg:
+      inputs:
+        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+```
+
+:::
diff --git a/docs/docs/configuration/index.md b/docs/docs/configuration/index.md
index a60da3499..b1fa876f9 100644
--- a/docs/docs/configuration/index.md
+++ b/docs/docs/configuration/index.md
@@ -3,10 +3,12 @@ id: index
 title: Frigate Configuration
 ---
 
-For Home Assistant Addon installations, the config file needs to be in the root of your Home Assistant config directory (same location as `configuration.yaml`). It can be named `frigate.yaml` or `frigate.yml`, but if both files exist `frigate.yaml` will be preferred and `frigate.yml` will be ignored.
+For Home Assistant Add-on installations, the config file should be at `/addon_configs/<addon_directory>/config.yml`, where `<addon_directory>` is specific to the variant of the Frigate Add-on you are running. See the list of directories [here](#accessing-add-on-config-dir).
 
 For all other installation types, the config file should be mapped to `/config/config.yml` inside the container.
 
+It can be named `config.yml` or `config.yaml`, but if both files exist `config.yml` will be preferred and `config.yaml` will be ignored.
+
 It is recommended to start with a minimal configuration and add to it as described in [this guide](../guides/getting_started.md) and use the built in configuration editor in Frigate's UI which supports validation.
 
 ```yaml
@@ -23,9 +25,24 @@ cameras:
             - detect
 ```
 
-## VSCode Configuration Schema
+## Accessing the Home Assistant Add-on configuration directory {#accessing-add-on-config-dir}
 
-VSCode supports JSON schemas for automatically validating configuration files. You can enable this feature by adding `# yaml-language-server: $schema=http://frigate_host:5000/api/config/schema.json` to the beginning of the configuration file. Replace `frigate_host` with the IP address or hostname of your Frigate server. If you're using both VSCode and Frigate as an add-on, you should use `ccab4aaf-frigate` instead. Make sure to expose the internal unauthenticated port `5000` when accessing the config from VSCode on another machine.
+When running Frigate through the HA Add-on, the Frigate `/config` directory is mapped to `/addon_configs/<addon_directory>` in the host, where `<addon_directory>` is specific to the variant of the Frigate Add-on you are running.
+
+| Add-on Variant             | Configuration directory                      |
+| -------------------------- | -------------------------------------------- |
+| Frigate                    | `/addon_configs/ccab4aaf_frigate`            |
+| Frigate (Full Access)      | `/addon_configs/ccab4aaf_frigate-fa`         |
+| Frigate Beta               | `/addon_configs/ccab4aaf_frigate-beta`       |
+| Frigate Beta (Full Access) | `/addon_configs/ccab4aaf_frigate-fa-beta`    |
+
+**Whenever you see `/config` in the documentation, it refers to this directory.**
+
+If for example you are running the standard Add-on variant and use the [VS Code Add-on](https://github.com/hassio-addons/addon-vscode) to browse your files, you can click _File_ > _Open folder..._ and navigate to `/addon_configs/ccab4aaf_frigate` to access the Frigate `/config` directory and edit the `config.yaml` file. You can also use the built-in file editor in the Frigate UI to edit the configuration file.
+
+## VS Code Configuration Schema
+
+VS Code supports JSON schemas for automatically validating configuration files. You can enable this feature by adding `# yaml-language-server: $schema=http://frigate_host:5000/api/config/schema.json` to the beginning of the configuration file. Replace `frigate_host` with the IP address or hostname of your Frigate server. If you're using both VS Code and Frigate as an Add-on, you should use `ccab4aaf-frigate` instead. Make sure to expose the internal unauthenticated port `5000` when accessing the config from VS Code on another machine.
 
 ## Environment Variable Substitution
 
@@ -65,10 +82,10 @@ genai:
 
 Here are some common starter configuration examples. Refer to the [reference config](./reference.md) for detailed information about all the config values.
 
-### Raspberry Pi Home Assistant Addon with USB Coral
+### Raspberry Pi Home Assistant Add-on with USB Coral
 
 - Single camera with 720p, 5fps stream for detect
-- MQTT connected to home assistant mosquitto addon
+- MQTT connected to the Home Assistant Mosquitto Add-on
 - Hardware acceleration for decoding video
 - USB Coral detector
 - Save all video with any detectable motion for 7 days regardless of whether any objects were detected or not
diff --git a/docs/docs/configuration/license_plate_recognition.md b/docs/docs/configuration/license_plate_recognition.md
new file mode 100644
index 000000000..933fd72d3
--- /dev/null
+++ b/docs/docs/configuration/license_plate_recognition.md
@@ -0,0 +1,395 @@
+---
+id: license_plate_recognition
+title: License Plate Recognition (LPR)
+---
+
+Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a known name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
+
+LPR works best when the license plate is clearly visible to the camera. For moving vehicles, Frigate continuously refines the recognition process, keeping the most confident result. However, LPR does not run on stationary vehicles.
+
+When a plate is recognized, the details are:
+
+- Added as a `sub_label` (if known) or the `recognized_license_plate` field (if unknown) to a tracked object.
+- Viewable in the Review Item Details pane in Review (sub labels).
+- Viewable in the Tracked Object Details pane in Explore (sub labels and recognized license plates).
+- Filterable through the More Filters menu in Explore.
+- Published via the `frigate/events` MQTT topic as a `sub_label` (known) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
+- Published via the `frigate/tracked_object_update` MQTT topic with `name` (if known) and `plate`.
+
+## Model Requirements
+
+Users running a Frigate+ model (or any custom model that natively detects license plates) should ensure that `license_plate` is added to the [list of objects to track](https://docs.frigate.video/plus/#available-label-types) either globally or for a specific camera. This will improve the accuracy and performance of the LPR model.
+
+Users without a model that detects license plates can still run LPR. Frigate uses a lightweight YOLOv9 license plate detection model that can be configured to run on your CPU or GPU. In this case, you should _not_ define `license_plate` in your list of objects to track.
+
+:::note
+
+In the default mode, Frigate's LPR needs to first detect a `car` or `motorcycle` before it can recognize a license plate. If you're using a dedicated LPR camera and have a zoomed-in view where a `car` or `motorcycle` will not be detected, you can still run LPR, but the configuration parameters will differ from the default mode. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section below.
+
+:::
+
+## Minimum System Requirements
+
+License plate recognition works by running AI models locally on your system. The models are relatively lightweight and can run on your CPU or GPU, depending on your configuration. At least 4GB of RAM is required.
+
+## Configuration
+
+License plate recognition is disabled by default. Enable it in your config file:
+
+```yaml
+lpr:
+  enabled: True
+```
+
+Like other enrichments in Frigate, LPR **must be enabled globally** to use the feature. You should disable it for specific cameras at the camera level if you don't want to run LPR on cars on those cameras:
+
+```yaml
+cameras:
+  garage:
+    ...
+    lpr:
+      enabled: False
+```
+
+For non-dedicated LPR cameras, ensure that your camera is configured to detect objects of type `car` or `motorcycle`, and that a car or motorcycle is actually being detected by Frigate. Otherwise, LPR will not run.
+
+Like the other real-time processors in Frigate, license plate recognition runs on the camera stream defined by the `detect` role in your config. To ensure optimal performance, select a suitable resolution for this stream in your camera's firmware that fits your specific scene and requirements.
+
+## Advanced Configuration
+
+Fine-tune the LPR feature using these optional parameters at the global level of your config. The only optional parameters that can be set at the camera level are `enabled`, `min_area`, and `enhancement`.
+
+### Detection
+
+- **`detection_threshold`**: License plate object detection confidence score required before recognition runs.
+  - Default: `0.7`
+  - Note: This is field only applies to the standalone license plate detection model, `threshold` and `min_score` object filters should be used for models like Frigate+ that have license plate detection built in.
+- **`min_area`**: Defines the minimum area (in pixels) a license plate must be before recognition runs.
+  - Default: `1000` pixels. Note: this is intentionally set very low as it is an _area_ measurement (length x width). For reference, 1000 pixels represents a ~32x32 pixel square in your camera image.
+  - Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates.
+- **`device`**: Device to use to run license plate recognition models.
+  - Default: `CPU`
+  - This can be `CPU` or `GPU`. For users without a model that detects license plates natively, using a GPU may increase performance of the models, especially the YOLOv9 license plate detector model. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation.
+- **`model_size`**: The size of the model used to detect text on plates.
+  - Default: `small`
+  - This can be `small` or `large`. The `large` model uses an enhanced text detector and is more accurate at finding text on plates but slower than the `small` model. For most users, the small model is recommended. For users in countries with multiple lines of text on plates, the large model is recommended. Note that using the large model does not improve _text recognition_, but it may improve _text detection_.
+
+### Recognition
+
+- **`recognition_threshold`**: Recognition confidence score required to add the plate to the object as a `recognized_license_plate` and/or `sub_label`.
+  - Default: `0.9`.
+- **`min_plate_length`**: Specifies the minimum number of characters a detected license plate must have to be added as a `recognized_license_plate` and/or `sub_label` to an object.
+  - Use this to filter out short, incomplete, or incorrect detections.
+- **`format`**: A regular expression defining the expected format of detected plates. Plates that do not match this format will be discarded.
+  - `"^[A-Z]{1,3} [A-Z]{1,2} [0-9]{1,4}$"` matches plates like "B AB 1234" or "M X 7"
+  - `"^[A-Z]{2}[0-9]{2} [A-Z]{3}$"` matches plates like "AB12 XYZ" or "XY68 ABC"
+  - Websites like https://regex101.com/ can help test regular expressions for your plates.
+
+### Matching
+
+- **`known_plates`**: List of strings or regular expressions that assign custom a `sub_label` to `car` and `motorcycle` objects when a recognized plate matches a known value.
+  - These labels appear in the UI, filters, and notifications.
+  - Unknown plates are still saved but are added to the `recognized_license_plate` field rather than the `sub_label`.
+- **`match_distance`**: Allows for minor variations (missing/incorrect characters) when matching a detected plate to a known plate.
+  - For example, setting `match_distance: 1` allows a plate `ABCDE` to match `ABCBE` or `ABCD`.
+  - This parameter will _not_ operate on known plates that are defined as regular expressions. You should define the full string of your plate in `known_plates` in order to use `match_distance`.
+
+### Image Enhancement
+
+- **`enhancement`**: A value between 0 and 10 that adjusts the level of image enhancement applied to captured license plates before they are processed for recognition. This preprocessing step can sometimes improve accuracy but may also have the opposite effect.
+  - Default: `0` (no enhancement)
+  - Higher values increase contrast, sharpen details, and reduce noise, but excessive enhancement can blur or distort characters, actually making them much harder for Frigate to recognize.
+  - This setting is best adjusted at the camera level if running LPR on multiple cameras.
+  - If Frigate is already recognizing plates correctly, leave this setting at the default of `0`. However, if you're experiencing frequent character issues or incomplete plates and you can already easily read the plates yourself, try increasing the value gradually, starting at 5 and adjusting as needed. You should see how different enhancement levels affect your plates. Use the `debug_save_plates` configuration option (see below).
+
+### Debugging
+
+- **`debug_save_plates`**: Set to `True` to save captured text on plates for debugging. These images are stored in `/media/frigate/clips/lpr`, organized into subdirectories by `<camera>/<event_id>`, and named based on the capture timestamp.
+  - These saved images are not full plates but rather the specific areas of text detected on the plates. It is normal for the text detection model to sometimes find multiple areas of text on the plate. Use them to analyze what text Frigate recognized and how image enhancement affects detection.
+  - **Note:** Frigate does **not** automatically delete these debug images. Once LPR is functioning correctly, you should disable this option and manually remove the saved files to free up storage.
+
+## Configuration Examples
+
+These configuration parameters are available at the global level of your config. The only optional parameters that should be set at the camera level are `enabled`, `min_area`, and `enhancement`.
+
+```yaml
+lpr:
+  enabled: True
+  min_area: 1500 # Ignore plates with an area (length x width) smaller than 1500 pixels
+  min_plate_length: 4 # Only recognize plates with 4 or more characters
+  known_plates:
+    Wife's Car:
+      - "ABC-1234"
+      - "ABC-I234" # Accounts for potential confusion between the number one (1) and capital letter I
+    Johnny:
+      - "J*N-*234" # Matches JHN-1234 and JMN-I234, but also note that "*" matches any number of characters
+    Sally:
+      - "[S5]LL 1234" # Matches both SLL 1234 and 5LL 1234
+    Work Trucks:
+      - "EMP-[0-9]{3}[A-Z]" # Matches plates like EMP-123A, EMP-456Z
+```
+
+```yaml
+lpr:
+  enabled: True
+  min_area: 4000 # Run recognition on larger plates only (4000 pixels represents a 63x63 pixel square in your image)
+  recognition_threshold: 0.85
+  format: "^[A-Z]{2} [A-Z][0-9]{4}$" # Only recognize plates that are two letters, followed by a space, followed by a single letter and 4 numbers
+  match_distance: 1 # Allow one character variation in plate matching
+  known_plates:
+    Delivery Van:
+      - "RJ K5678"
+      - "UP A1234"
+    Supervisor:
+      - "MN D3163"
+```
+
+:::note
+
+If you want to detect cars on cameras but don't want to use resources to run LPR on those cars, you should disable LPR for those specific cameras.
+
+```yaml
+cameras:
+  side_yard:
+    lpr:
+      enabled: False
+    ...
+```
+
+:::
+
+## Dedicated LPR Cameras
+
+Dedicated LPR cameras are single-purpose cameras with powerful optical zoom to capture license plates on distant vehicles, often with fine-tuned settings to capture plates at night.
+
+To mark a camera as a dedicated LPR camera, add `type: "lpr"` the camera configuration.
+
+:::note
+
+Frigate's dedicated LPR mode is optimized for cameras with a narrow field of view, specifically positioned and zoomed to capture license plates exclusively. If your camera provides a general overview of a scene rather than a tightly focused view, this mode is not recommended.
+
+:::
+
+Users can configure Frigate's dedicated LPR mode in two different ways depending on whether a Frigate+ (or native `license_plate` detecting) model is used:
+
+### Using a Frigate+ (or Native `license_plate` Detecting) Model
+
+Users running a Frigate+ model (or any model that natively detects `license_plate`) can take advantage of `license_plate` detection. This allows license plates to be treated as standard objects in dedicated LPR mode, meaning that alerts, detections, snapshots, and other Frigate features work as usual, and plates are detected efficiently through your configured object detector.
+
+An example configuration for a dedicated LPR camera using a `license_plate`-detecting model:
+
+```yaml
+# LPR global configuration
+lpr:
+  enabled: True
+  device: CPU # can also be GPU if available
+
+# Dedicated LPR camera configuration
+cameras:
+  dedicated_lpr_camera:
+    type: "lpr" # required to use dedicated LPR camera mode
+    ffmpeg: ... # add your streams
+    detect:
+      enabled: True
+      fps: 5 # increase to 10 if vehicles move quickly across your frame. Higher than 10 is unnecessary and is not recommended.
+      min_initialized: 2
+      width: 1920
+      height: 1080
+    objects:
+      track:
+        - license_plate
+      filters:
+        license_plate:
+          threshold: 0.7
+    motion:
+      threshold: 30
+      contour_area: 60 # use an increased value to tune out small motion changes
+      improve_contrast: false
+      mask: 0.704,0.007,0.709,0.052,0.989,0.055,0.993,0.001 # ensure your camera's timestamp is masked
+    record:
+      enabled: True # disable recording if you only want snapshots
+    snapshots:
+      enabled: True
+    review:
+      detections:
+        labels:
+          - license_plate
+```
+
+With this setup:
+
+- License plates are treated as normal objects in Frigate.
+- Scores, alerts, detections, and snapshots work as expected.
+- Snapshots will have license plate bounding boxes on them.
+- The `frigate/events` MQTT topic will publish tracked object updates.
+- Debug view will display `license_plate` bounding boxes.
+- If you are using a Frigate+ model and want to submit images from your dedicated LPR camera for model training and fine-tuning, annotate both the `car` / `motorcycle` and the `license_plate` in the snapshots on the Frigate+ website, even if the car is barely visible.
+
+### Using the Secondary LPR Pipeline (Without Frigate+)
+
+If you are not running a Frigate+ model, you can use Frigate’s built-in secondary dedicated LPR pipeline. In this mode, Frigate bypasses the standard object detection pipeline and runs a local license plate detector model on the full frame whenever motion activity occurs.
+
+An example configuration for a dedicated LPR camera using the secondary pipeline:
+
+```yaml
+# LPR global configuration
+lpr:
+  enabled: True
+  device: CPU # can also be GPU if available and correct Docker image is used
+  detection_threshold: 0.7 # change if necessary
+
+# Dedicated LPR camera configuration
+cameras:
+  dedicated_lpr_camera:
+    type: "lpr" # required to use dedicated LPR camera mode
+    lpr:
+      enabled: True
+      enhancement: 3 # optional, enhance the image before trying to recognize characters
+    ffmpeg: ... # add your streams
+    detect:
+      enabled: False # disable Frigate's standard object detection pipeline
+      fps: 5 # increase if necessary, though high values may slow down Frigate's enrichments pipeline and use considerable CPU
+      width: 1920
+      height: 1080
+    objects:
+      track: [] # required when not using a Frigate+ model for dedicated LPR mode
+    motion:
+      threshold: 30
+      contour_area: 60 # use an increased value here to tune out small motion changes
+      improve_contrast: false
+      mask: 0.704,0.007,0.709,0.052,0.989,0.055,0.993,0.001 # ensure your camera's timestamp is masked
+    record:
+      enabled: True # disable recording if you only want snapshots
+    review:
+      detections:
+        enabled: True
+        retain:
+          default: 7
+```
+
+With this setup:
+
+- The standard object detection pipeline is bypassed. Any detected license plates on dedicated LPR cameras are treated similarly to manual events in Frigate. You must **not** specify `license_plate` as an object to track.
+- The license plate detector runs on the full frame whenever motion is detected and processes frames according to your detect `fps` setting.
+- Review items will always be classified as a `detection`.
+- Snapshots will always be saved.
+- Zones and object masks are **not** used.
+- The `frigate/events` MQTT topic will **not** publish tracked object updates with the license plate bounding box and score, though `frigate/reviews` will publish if recordings are enabled. If a plate is recognized as a known plate, publishing will occur with an updated `sub_label` field. If characters are recognized, publishing will occur with an updated `recognized_license_plate` field.
+- License plate snapshots are saved at the highest-scoring moment and appear in Explore.
+- Debug view will not show `license_plate` bounding boxes.
+
+### Summary
+
+| Feature                 | Native `license_plate` detecting Model (like Frigate+) | Secondary Pipeline (without native model or Frigate+)           |
+| ----------------------- | ------------------------------------------------------ | --------------------------------------------------------------- |
+| License Plate Detection | Uses `license_plate` as a tracked object               | Runs a dedicated LPR pipeline                                   |
+| FPS Setting             | 5 (increase for fast-moving cars)                      | 5 (increase for fast-moving cars, but it may use much more CPU) |
+| Object Detection        | Standard Frigate+ detection applies                    | Bypasses standard object detection                              |
+| Debug View              | May show `license_plate` bounding boxes                | May **not** show `license_plate` bounding boxes                 |
+| MQTT `frigate/events`   | Publishes tracked object updates                       | Publishes limited updates                                       |
+| Explore                 | Recognized plates available in More Filters            | Recognized plates available in More Filters                     |
+
+By selecting the appropriate configuration, users can optimize their dedicated LPR cameras based on whether they are using a Frigate+ model or the secondary LPR pipeline.
+
+### Best practices for using Dedicated LPR camera mode
+
+- Tune your motion detection and increase the `contour_area` until you see only larger motion boxes being created as cars pass through the frame (likely somewhere between 50-90 for a 1920x1080 detect stream). Increasing the `contour_area` filters out small areas of motion and will prevent excessive resource use from looking for license plates in frames that don't even have a car passing through it.
+- Disable the `improve_contrast` motion setting, especially if you are running LPR at night and the frame is mostly dark. This will prevent small pixel changes and smaller areas of motion from triggering license plate detection.
+- Ensure your camera's timestamp is covered with a motion mask so that it's not incorrectly detected as a license plate.
+- For non-Frigate+ users, you may need to change your camera settings for a clearer image or decrease your global `recognition_threshold` config if your plates are not being accurately recognized at night.
+- The secondary pipeline mode runs a local AI model on your CPU or GPU (depending on how `device` is configured) to detect plates. Increasing detect `fps` will increase resource usage proportionally.
+
+## FAQ
+
+### Why isn't my license plate being detected and recognized?
+
+Ensure that:
+
+- Your camera has a clear, human-readable, well-lit view of the plate. If you can't read the plate's characters, Frigate certainly won't be able to, even if the model is recognizing a `license_plate`. This may require changing video size, quality, or frame rate settings on your camera, depending on your scene and how fast the vehicles are traveling.
+- The plate is large enough in the image (try adjusting `min_area`) or increasing the resolution of your camera's stream.
+- Your `enhancement` level (if you've changed it from the default of `0`) is not too high. Too much enhancement will run too much denoising and cause the plate characters to become blurry and unreadable.
+
+If you are using a Frigate+ model or a custom model that detects license plates, ensure that `license_plate` is added to your list of objects to track.
+If you are using the free model that ships with Frigate, you should _not_ add `license_plate` to the list of objects to track.
+
+Recognized plates will show as object labels in the debug view and will appear in the "Recognized License Plates" select box in the More Filters popout in Explore.
+
+If you are still having issues detecting plates, start with a basic configuration and see the debugging tips below.
+
+### Can I run LPR without detecting `car` or `motorcycle` objects?
+
+In normal LPR mode, Frigate requires a `car` or `motorcycle` to be detected first before recognizing a license plate. If you have a dedicated LPR camera, you can change the camera `type` to `"lpr"` to use the Dedicated LPR Camera algorithm. This comes with important caveats, though. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section above.
+
+### How can I improve detection accuracy?
+
+- Use high-quality cameras with good resolution.
+- Adjust `detection_threshold` and `recognition_threshold` values.
+- Define a `format` regex to filter out invalid detections.
+
+### Does LPR work at night?
+
+Yes, but performance depends on camera quality, lighting, and infrared capabilities. Make sure your camera can capture clear images of plates at night.
+
+### Can I limit LPR to specific zones?
+
+LPR, like other Frigate enrichments, runs at the camera level rather than the zone level. While you can't restrict LPR to specific zones directly, you can control when recognition runs by setting a `min_area` value to filter out smaller detections.
+
+### How can I match known plates with minor variations?
+
+Use `match_distance` to allow small character mismatches. Alternatively, define multiple variations in `known_plates`.
+
+### How do I debug LPR issues?
+
+Start with ["Why isn't my license plate being detected and recognized?"](#why-isnt-my-license-plate-being-detected-and-recognized). If you are still having issues, work through these steps.
+
+1. Enable debug logs to see exactly what Frigate is doing.
+
+   - Enable debug logs for LPR by adding `frigate.data_processing.common.license_plate: debug` to your `logger` configuration. These logs are _very_ verbose, so only keep this enabled when necessary.
+
+     ```yaml
+     logger:
+       default: info
+       logs:
+         frigate.data_processing.common.license_plate: debug
+     ```
+
+2. Ensure your plates are being _detected_.
+
+   If you are using a Frigate+ or `license_plate` detecting model:
+
+   - Watch the debug view (Settings --> Debug) to ensure that `license_plate` is being detected.
+   - View MQTT messages for `frigate/events` to verify detected plates.
+   - You may need to adjust your `min_score` and/or `threshold` for the `license_plate` object if your plates are not being detected.
+
+   If you are **not** using a Frigate+ or `license_plate` detecting model:
+
+   - Watch the debug logs for messages from the YOLOv9 plate detector.
+   - You may need to adjust your `detection_threshold` if your plates are not being detected.
+
+3. Ensure the characters on detected plates are being _recognized_.
+
+   - Enable `debug_save_plates` to save images of detected text on plates to the clips directory (`/media/frigate/clips/lpr`). Ensure these images are readable and the text is clear.
+   - Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the `car` or `motorcycle` label will change to the recognized plate when LPR is enabled and working.
+   - Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).
+
+### Will LPR slow down my system?
+
+LPR's performance impact depends on your hardware. Ensure you have at least 4GB RAM and a capable CPU or GPU for optimal results. If you are running the Dedicated LPR Camera mode, resource usage will be higher compared to users who run a model that natively detects license plates. Tune your motion detection settings for your dedicated LPR camera so that the license plate detection model runs only when necessary.
+
+### I am seeing a YOLOv9 plate detection metric in Enrichment Metrics, but I have a Frigate+ or custom model that detects `license_plate`. Why is the YOLOv9 model running?
+
+The YOLOv9 license plate detector model will run (and the metric will appear) if you've enabled LPR but haven't defined `license_plate` as an object to track, either at the global or camera level.
+
+If you are detecting `car` or `motorcycle` on cameras where you don't want to run LPR, make sure you disable LPR it at the camera level. And if you do want to run LPR on those cameras, make sure you define `license_plate` as an object to track.
+
+### It looks like Frigate picked up my camera's timestamp or overlay text as the license plate. How can I prevent this?
+
+This could happen if cars or motorcycles travel close to your camera's timestamp or overlay text. You could either move the text through your camera's firmware, or apply a mask to it in Frigate.
+
+If you are using a model that natively detects `license_plate`, add an _object mask_ of type `license_plate` and a _motion mask_ over your text.
+
+If you are not using a model that natively detects `license_plate` or you are using dedicated LPR camera mode, only a _motion mask_ over your text is required.
+
+### I see "Error running ... model" in my logs. How can I fix this?
+
+This usually happens when your GPU is unable to compile or use one of the LPR models. Set your `device` to `CPU` and try again. GPU acceleration only provides a slight performance increase, and the models are lightweight enough to run without issue on most CPUs.
diff --git a/docs/docs/configuration/live.md b/docs/docs/configuration/live.md
index 8221703ca..35d401a67 100644
--- a/docs/docs/configuration/live.md
+++ b/docs/docs/configuration/live.md
@@ -3,9 +3,9 @@ id: live
 title: Live View
 ---
 
-Frigate intelligently displays your camera streams on the Live view dashboard. Your camera images update once per minute when no detectable activity is occurring to conserve bandwidth and resources. As soon as any motion is detected, cameras seamlessly switch to a live stream.
+Frigate intelligently displays your camera streams on the Live view dashboard. By default, Frigate employs "smart streaming" where camera images update once per minute when no detectable activity is occurring to conserve bandwidth and resources. As soon as any motion or active objects are detected, cameras seamlessly switch to a live stream.
 
-## Live View technologies
+### Live View technologies
 
 Frigate intelligently uses three different streaming technologies to display your camera streams on the dashboard and the single camera view, switching between available modes based on network bandwidth, player errors, or required features like two-way talk. The highest quality and fluency of the Live view requires the bundled `go2rtc` to be configured as shown in the [step by step guide](/guides/configuring_go2rtc).
 
@@ -23,7 +23,7 @@ If you are using go2rtc, you should adjust the following settings in your camera
 
 - Video codec: **H.264** - provides the most compatible video codec with all Live view technologies and browsers. Avoid any kind of "smart codec" or "+" codec like _H.264+_ or _H.265+_. as these non-standard codecs remove keyframes (see below).
 - Audio codec: **AAC** - provides the most compatible audio codec with all Live view technologies and browsers that support audio.
-- I-frame interval (sometimes called the keyframe interval, the interframe space, or the GOP length): match your camera's frame rate, or choose "1x" (for interframe space on Reolink cameras). For example, if your stream outputs 20fps, your i-frame interval should be 20 (or 1x on Reolink). Values higher than the frame rate will cause the stream to take longer to begin playback. See [this page](https://gardinal.net/understanding-the-keyframe-interval/) for more on keyframes. For many users this may not be an issue, but it should be noted that that a 1x i-frame interval will cause more storage utilization if you are using the stream for the `record` role as well.
+- I-frame interval (sometimes called the keyframe interval, the interframe space, or the GOP length): match your camera's frame rate, or choose "1x" (for interframe space on Reolink cameras). For example, if your stream outputs 20fps, your i-frame interval should be 20 (or 1x on Reolink). Values higher than the frame rate will cause the stream to take longer to begin playback. See [this page](https://gardinal.net/understanding-the-keyframe-interval/) for more on keyframes. For many users this may not be an issue, but it should be noted that a 1x i-frame interval will cause more storage utilization if you are using the stream for the `record` role as well.
 
 The default video and audio codec on your camera may not always be compatible with your browser, which is why setting them to H.264 and AAC is recommended. See the [go2rtc docs](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#codecs-madness) for codec support information.
 
@@ -42,6 +42,16 @@ go2rtc:
       - "ffmpeg:http_cam#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
 ```
 
+If your camera does not support AAC audio or are having problems with Live view, try transcoding to AAC audio directly:
+
+```yaml
+go2rtc:
+  streams:
+    rtsp_cam: # <- for RTSP streams
+      - "ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac" # <- copies video stream and transcodes to aac audio
+      - "ffmpeg:rtsp_cam#audio=opus" # <- provides support for WebRTC
+```
+
 If your camera does not have audio and you are having problems with Live view, you should have go2rtc send video only:
 
 ```yaml
@@ -51,19 +61,32 @@ go2rtc:
       - ffmpeg:rtsp://192.168.1.5:554/live0#video=copy
 ```
 
-### Setting Stream For Live UI
+### Setting Streams For Live UI
 
-There may be some cameras that you would prefer to use the sub stream for live view, but the main stream for recording. This can be done via `live -> stream_name`.
+You can configure Frigate to allow manual selection of the stream you want to view in the Live UI. For example, you may want to view your camera's substream on mobile devices, but the full resolution stream on desktop devices. Setting the `live -> streams` list will populate a dropdown in the UI's Live view that allows you to choose between the streams. This stream setting is _per device_ and is saved in your browser's local storage.
+
+Additionally, when creating and editing camera groups in the UI, you can choose the stream you want to use for your camera group's Live dashboard.
+
+:::note
+
+Frigate's default dashboard ("All Cameras") will always use the first entry you've defined in `streams:` when playing live streams from your cameras.
+
+:::
+
+Configure the `streams` option with a "friendly name" for your stream followed by the go2rtc stream name.
+
+Using Frigate's internal version of go2rtc is required to use this feature. You cannot specify paths in the `streams` configuration, only go2rtc stream names.
 
 ```yaml
 go2rtc:
   streams:
     test_cam:
-      - rtsp://192.168.1.5:554/live0 # <- stream which supports video & aac audio.
+      - rtsp://192.168.1.5:554/live_main # <- stream which supports video & aac audio.
       - "ffmpeg:test_cam#audio=opus" # <- copy of the stream which transcodes audio to opus for webrtc
     test_cam_sub:
-      - rtsp://192.168.1.5:554/substream # <- stream which supports video & aac audio.
-      - "ffmpeg:test_cam_sub#audio=opus" # <- copy of the stream which transcodes audio to opus for webrtc
+      - rtsp://192.168.1.5:554/live_sub # <- stream which supports video & aac audio.
+    test_cam_another_sub:
+      - rtsp://192.168.1.5:554/live_alt # <- stream which supports video & aac audio.
 
 cameras:
   test_cam:
@@ -80,7 +103,10 @@ cameras:
           roles:
             - detect
     live:
-      stream_name: test_cam_sub
+      streams: # <--- Multiple streams for Frigate 0.16 and later
+        Main Stream: test_cam # <--- Specify a "friendly name" followed by the go2rtc stream name
+        Sub Stream: test_cam_sub
+        Special Stream: test_cam_another_sub
 ```
 
 ### WebRTC extra configuration:
@@ -88,9 +114,9 @@ cameras:
 WebRTC works by creating a TCP or UDP connection on port `8555`. However, it requires additional configuration:
 
 - For external access, over the internet, setup your router to forward port `8555` to port `8555` on the Frigate device, for both TCP and UDP.
-- For internal/local access, unless you are running through the add-on, you will also need to set the WebRTC candidates list in the go2rtc config. For example, if `192.168.1.10` is the local IP of the device running Frigate:
+- For internal/local access, unless you are running through the HA Add-on, you will also need to set the WebRTC candidates list in the go2rtc config. For example, if `192.168.1.10` is the local IP of the device running Frigate:
 
-  ```yaml title="/config/frigate.yaml"
+  ```yaml title="config.yml"
   go2rtc:
     streams:
       test_cam: ...
@@ -101,12 +127,13 @@ WebRTC works by creating a TCP or UDP connection on port `8555`. However, it req
   ```
 
 - For access through Tailscale, the Frigate system's Tailscale IP must be added as a WebRTC candidate. Tailscale IPs all start with `100.`, and are reserved within the `100.64.0.0/10` CIDR block.
+- Note that WebRTC does not support H.265.
 
 :::tip
 
-This extra configuration may not be required if Frigate has been installed as a Home Assistant add-on, as Frigate uses the Supervisor's API to generate a WebRTC candidate.
+This extra configuration may not be required if Frigate has been installed as a Home Assistant Add-on, as Frigate uses the Supervisor's API to generate a WebRTC candidate.
 
-However, it is recommended if issues occur to define the candidates manually. You should do this if the Frigate add-on fails to generate a valid candidate. If an error occurs you will see some warnings like the below in the add-on logs page during the initialization:
+However, it is recommended if issues occur to define the candidates manually. You should do this if the Frigate Add-on fails to generate a valid candidate. If an error occurs you will see some warnings like the below in the Add-on logs page during the initialization:
 
 ```log
 [WARN] Failed to get IP address from supervisor
@@ -148,3 +175,79 @@ For devices that support two way talk, Frigate can be configured to use the feat
 - For the Home Assistant Frigate card, [follow the docs](http://card.camera/#/usage/2-way-audio) for the correct source.
 
 To use the Reolink Doorbell with two way talk, you should use the [recommended Reolink configuration](/configuration/camera_specific#reolink-doorbell)
+
+### Streaming options on camera group dashboards
+
+Frigate provides a dialog in the Camera Group Edit pane with several options for streaming on a camera group's dashboard. These settings are _per device_ and are saved in your device's local storage.
+
+- Stream selection using the `live -> streams` configuration option (see _Setting Streams For Live UI_ above)
+- Streaming type:
+  - _No streaming_: Camera images will only update once per minute and no live streaming will occur.
+  - _Smart Streaming_ (default, recommended setting): Smart streaming will update your camera image once per minute when no detectable activity is occurring to conserve bandwidth and resources, since a static picture is the same as a streaming image with no motion or objects. When motion or objects are detected, the image seamlessly switches to a live stream.
+  - _Continuous Streaming_: Camera image will always be a live stream when visible on the dashboard, even if no activity is being detected. Continuous streaming may cause high bandwidth usage and performance issues. **Use with caution.**
+- _Compatibility mode_: Enable this option only if your camera's live stream is displaying color artifacts and has a diagonal line on the right side of the image. Before enabling this, try setting your camera's `detect` width and height to a standard aspect ratio (for example: 640x352 becomes 640x360, and 800x443 becomes 800x450, 2688x1520 becomes 2688x1512, etc). Depending on your browser and device, more than a few cameras in compatibility mode may not be supported, so only use this option if changing your config fails to resolve the color artifacts and diagonal line.
+
+:::note
+
+The default dashboard ("All Cameras") will always use:
+
+- Smart Streaming, unless you've disabled the global Automatic Live View in Settings.
+- The first entry set in your `streams` configuration, if defined.
+
+Use a camera group if you want to change any of these settings from the defaults.
+
+:::
+
+### Disabling cameras
+
+Cameras can be temporarily disabled through the Frigate UI and through [MQTT](/integrations/mqtt#frigatecamera_nameenabledset) to conserve system resources. When disabled, Frigate's ffmpeg processes are terminated — recording stops, object detection is paused, and the Live dashboard displays a blank image with a disabled message. Review items, tracked objects, and historical footage for disabled cameras can still be accessed via the UI.
+
+:::note
+
+Disabling a camera via the Frigate UI or MQTT is temporary and does not persist through restarts of Frigate.
+
+:::
+
+For restreamed cameras, go2rtc remains active but does not use system resources for decoding or processing unless there are active external consumers (such as the Advanced Camera Card in Home Assistant using a go2rtc source).
+
+Note that disabling a camera through the config file (`enabled: False`) removes all related UI elements, including historical footage access. To retain access while disabling the camera, keep it enabled in the config and use the UI or MQTT to disable it temporarily.
+
+## Live view FAQ
+
+1. **Why don't I have audio in my Live view?**
+
+   You must use go2rtc to hear audio in your live streams. If you have go2rtc already configured, you need to ensure your camera is sending PCMA/PCMU or AAC audio. If you can't change your camera's audio codec, you need to [transcode the audio](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#source-ffmpeg) using go2rtc.
+
+   Note that the low bandwidth mode player is a video-only stream. You should not expect to hear audio when in low bandwidth mode, even if you've set up go2rtc.
+
+2. **Frigate shows that my live stream is in "low bandwidth mode". What does this mean?**
+
+   Frigate intelligently selects the live streaming technology based on a number of factors (user-selected modes like two-way talk, camera settings, browser capabilities, available bandwidth) and prioritizes showing an actual up-to-date live view of your camera's stream as quickly as possible.
+
+   When you have go2rtc configured, Live view initially attempts to load and play back your stream with a clearer, fluent stream technology (MSE). An initial timeout, a low bandwidth condition that would cause buffering of the stream, or decoding errors in the stream will cause Frigate to switch to the stream defined by the `detect` role, using the jsmpeg format. This is what the UI labels as "low bandwidth mode". On Live dashboards, the mode will automatically reset when smart streaming is configured and activity stops. Continuous streaming mode does not have an automatic reset mechanism, but you can use the _Reset_ option to force a reload of your stream.
+
+   If you are using continuous streaming or you are loading more than a few high resolution streams at once on the dashboard, your browser may struggle to begin playback of your streams before the timeout. Frigate always prioritizes showing a live stream as quickly as possible, even if it is a lower quality jsmpeg stream. You can use the "Reset" link/button to try loading your high resolution stream again.
+
+   If you are still experiencing Frigate falling back to low bandwidth mode, you may need to adjust your camera's settings per the [recommendations above](#camera_settings_recommendations).
+
+3. **It doesn't seem like my cameras are streaming on the Live dashboard. Why?**
+
+   On the default Live dashboard ("All Cameras"), your camera images will update once per minute when no detectable activity is occurring to conserve bandwidth and resources. As soon as any activity is detected, cameras seamlessly switch to a full-resolution live stream. If you want to customize this behavior, use a camera group.
+
+4. **I see a strange diagonal line on my live view, but my recordings look fine. How can I fix it?**
+
+   This is caused by incorrect dimensions set in your detect width or height (or incorrectly auto-detected), causing the jsmpeg player's rendering engine to display a slightly distorted image. You should enlarge the width and height of your `detect` resolution up to a standard aspect ratio (example: 640x352 becomes 640x360, and 800x443 becomes 800x450, 2688x1520 becomes 2688x1512, etc). If changing the resolution to match a standard (4:3, 16:9, or 32:9, etc) aspect ratio does not solve the issue, you can enable "compatibility mode" in your camera group dashboard's stream settings. Depending on your browser and device, more than a few cameras in compatibility mode may not be supported, so only use this option if changing your `detect` width and height fails to resolve the color artifacts and diagonal line.
+
+5. **How does "smart streaming" work?**
+
+   Because a static image of a scene looks exactly the same as a live stream with no motion or activity, smart streaming updates your camera images once per minute when no detectable activity is occurring to conserve bandwidth and resources. As soon as any activity (motion or object/audio detection) occurs, cameras seamlessly switch to a live stream.
+
+   This static image is pulled from the stream defined in your config with the `detect` role. When activity is detected, images from the `detect` stream immediately begin updating at ~5 frames per second so you can see the activity until the live player is loaded and begins playing. This usually only takes a second or two. If the live player times out, buffers, or has streaming errors, the jsmpeg player is loaded and plays a video-only stream from the `detect` role. When activity ends, the players are destroyed and a static image is displayed until activity is detected again, and the process repeats.
+
+   Smart streaming depends on having your camera's motion `threshold` and `contour_area` config values dialed in. Use the Motion Tuner in Settings in the UI to tune these values in real-time.
+
+   This is Frigate's default and recommended setting because it results in a significant bandwidth savings, especially for high resolution cameras.
+
+6. **I have unmuted some cameras on my dashboard, but I do not hear sound. Why?**
+
+   If your camera is streaming (as indicated by a red dot in the upper right, or if it has been set to continuous streaming mode), your browser may be blocking audio until you interact with the page. This is an intentional browser limitation. See [this article](https://developer.mozilla.org/en-US/docs/Web/Media/Autoplay_guide#autoplay_availability). Many browsers have a whitelist feature to change this behavior.
diff --git a/docs/docs/configuration/metrics.md b/docs/docs/configuration/metrics.md
new file mode 100644
index 000000000..662404205
--- /dev/null
+++ b/docs/docs/configuration/metrics.md
@@ -0,0 +1,99 @@
+---
+id: metrics
+title: Metrics
+---
+
+# Metrics
+
+Frigate exposes Prometheus metrics at the `/api/metrics` endpoint that can be used to monitor the performance and health of your Frigate instance.
+
+## Available Metrics
+
+### System Metrics
+- `frigate_cpu_usage_percent{pid="", name="", process="", type="", cmdline=""}` - Process CPU usage percentage
+- `frigate_mem_usage_percent{pid="", name="", process="", type="", cmdline=""}` - Process memory usage percentage
+- `frigate_gpu_usage_percent{gpu_name=""}` - GPU utilization percentage
+- `frigate_gpu_mem_usage_percent{gpu_name=""}` - GPU memory usage percentage
+
+### Camera Metrics
+- `frigate_camera_fps{camera_name=""}` - Frames per second being consumed from your camera
+- `frigate_detection_fps{camera_name=""}` - Number of times detection is run per second
+- `frigate_process_fps{camera_name=""}` - Frames per second being processed
+- `frigate_skipped_fps{camera_name=""}` - Frames per second skipped for processing
+- `frigate_detection_enabled{camera_name=""}` - Detection enabled status for camera
+- `frigate_audio_dBFS{camera_name=""}` - Audio dBFS for camera
+- `frigate_audio_rms{camera_name=""}` - Audio RMS for camera
+
+### Detector Metrics
+- `frigate_detector_inference_speed_seconds{name=""}` - Time spent running object detection in seconds
+- `frigate_detection_start{name=""}` - Detector start time (unix timestamp)
+
+### Storage Metrics
+- `frigate_storage_free_bytes{storage=""}` - Storage free bytes
+- `frigate_storage_total_bytes{storage=""}` - Storage total bytes
+- `frigate_storage_used_bytes{storage=""}` - Storage used bytes
+- `frigate_storage_mount_type{mount_type="", storage=""}` - Storage mount type info
+
+### Service Metrics
+- `frigate_service_uptime_seconds` - Uptime in seconds
+- `frigate_service_last_updated_timestamp` - Stats recorded time (unix timestamp)
+- `frigate_device_temperature{device=""}` - Device Temperature
+
+### Event Metrics
+- `frigate_camera_events{camera="", label=""}` - Count of camera events since exporter started
+
+## Configuring Prometheus
+
+To scrape metrics from Frigate, add the following to your Prometheus configuration:
+
+```yaml
+scrape_configs:
+  - job_name: 'frigate'
+    metrics_path: '/api/metrics'
+    static_configs:
+      - targets: ['frigate:5000']
+    scrape_interval: 15s
+```
+
+## Example Queries
+
+Here are some example PromQL queries that might be useful:
+
+```promql
+# Average CPU usage across all processes
+avg(frigate_cpu_usage_percent)
+
+# Total GPU memory usage
+sum(frigate_gpu_mem_usage_percent)
+
+# Detection FPS by camera
+rate(frigate_detection_fps{camera_name="front_door"}[5m])
+
+# Storage usage percentage
+(frigate_storage_used_bytes / frigate_storage_total_bytes) * 100
+
+# Event count by camera in last hour
+increase(frigate_camera_events[1h])
+```
+
+## Grafana Dashboard
+
+You can use these metrics to create Grafana dashboards to monitor your Frigate instance. Here's an example of metrics you might want to track:
+
+- CPU, Memory and GPU usage over time
+- Camera FPS and detection rates
+- Storage usage and trends
+- Event counts by camera
+- System temperatures
+
+A sample Grafana dashboard JSON will be provided in a future update.
+
+## Metric Types
+
+The metrics exposed by Frigate use the following Prometheus metric types:
+
+- **Counter**: Cumulative values that only increase (e.g., `frigate_camera_events`)
+- **Gauge**: Values that can go up and down (e.g., `frigate_cpu_usage_percent`)
+- **Info**: Key-value pairs for metadata (e.g., `frigate_storage_mount_type`)
+
+For more information about Prometheus metric types, see the [Prometheus documentation](https://prometheus.io/docs/concepts/metric_types/).
diff --git a/docs/docs/configuration/motion_detection.md b/docs/docs/configuration/motion_detection.md
index 7621489ff..c22491fd0 100644
--- a/docs/docs/configuration/motion_detection.md
+++ b/docs/docs/configuration/motion_detection.md
@@ -77,7 +77,7 @@ At this point if motion is working as desired there is no reason to continue wit
 
 Once daytime motion detection is tuned, there is a chance that the settings will work well for motion detection during the night as well. If this is the case then the preferred settings can be written to the config file and left alone.
 
-However, if the preferred day settings do not work well at night it is recommended to use HomeAssistant or some other solution to automate changing the settings. That way completely separate sets of motion settings can be used for optimal day and night motion detection.
+However, if the preferred day settings do not work well at night it is recommended to use Home Assistant or some other solution to automate changing the settings. That way completely separate sets of motion settings can be used for optimal day and night motion detection.
 
 ## Tuning For Large Changes In Motion
 
@@ -104,4 +104,4 @@ Lightning threshold does not stop motion based recordings from being saved.
 
 :::
 
-Large changes in motion like PTZ moves and camera switches between Color and IR mode should result in no motion detection. This is done via the `lightning_threshold` configuration. It is defined as the percentage of the image used to detect lightning or other substantial changes where motion detection needs to recalibrate. Increasing this value will make motion detection more likely to consider lightning or IR mode changes as valid motion. Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching a doorbell camera.
+Large changes in motion like PTZ moves and camera switches between Color and IR mode should result in a pause in object detection. This is done via the `lightning_threshold` configuration. It is defined as the percentage of the image used to detect lightning or other substantial changes where motion detection needs to recalibrate. Increasing this value will make motion detection more likely to consider lightning or IR mode changes as valid motion. Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching a doorbell camera.
diff --git a/docs/docs/configuration/notifications.md b/docs/docs/configuration/notifications.md
index 9225ea6e8..b5e1600e4 100644
--- a/docs/docs/configuration/notifications.md
+++ b/docs/docs/configuration/notifications.md
@@ -11,14 +11,38 @@ Frigate offers native notifications using the [WebPush Protocol](https://web.dev
 
 In order to use notifications the following requirements must be met:
 
-- Frigate must be accessed via a secure https connection
+- Frigate must be accessed via a secure `https` connection ([see the authorization docs](/configuration/authentication)).
 - A supported browser must be used. Currently Chrome, Firefox, and Safari are known to be supported.
-- In order for notifications to be usable externally, Frigate must be accessible externally
+- In order for notifications to be usable externally, Frigate must be accessible externally.
+- For iOS devices, some users have also indicated that the Notifications switch needs to be enabled in iOS Settings --> Apps --> Safari --> Advanced --> Features.
 
 ### Configuration
 
 To configure notifications, go to the Frigate WebUI -> Settings -> Notifications and enable, then fill out the fields and save.
 
+Optionally, you can change the default cooldown period for notifications through the `cooldown` parameter in your config file. This parameter can also be overridden at the camera level.
+
+Notifications will be prevented if either:
+
+- The global cooldown period hasn't elapsed since any camera's last notification
+- The camera-specific cooldown period hasn't elapsed for the specific camera
+
+```yaml
+notifications:
+  enabled: True
+  email: "johndoe@gmail.com"
+  cooldown: 10 # wait 10 seconds before sending another notification from any camera
+```
+
+```yaml
+cameras:
+  doorbell:
+    ...
+    notifications:
+      enabled: True
+      cooldown: 30 # wait 30 seconds before sending another notification from the doorbell camera
+```
+
 ### Registration
 
 Once notifications are enabled, press the `Register for Notifications` button on all devices that you would like to receive notifications on. This will register the background worker. After this Frigate must be restarted and then notifications will begin to be sent.
@@ -39,4 +63,4 @@ Different platforms handle notifications differently, some settings changes may
 
 ### Android
 
-Most Android phones have battery optimization settings. To get reliable Notification delivery the browser (Chrome, Firefox) should have battery optimizations disabled. If Frigate is running as a PWA then the Frigate app should have battery optimizations disabled as well.
\ No newline at end of file
+Most Android phones have battery optimization settings. To get reliable Notification delivery the browser (Chrome, Firefox) should have battery optimizations disabled. If Frigate is running as a PWA then the Frigate app should have battery optimizations disabled as well.
diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index 7f6f8cb4f..e048e0ec5 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -10,32 +10,41 @@ title: Object Detectors
 Frigate supports multiple different detectors that work on different types of hardware:
 
 **Most Hardware**
+
 - [Coral EdgeTPU](#edge-tpu-detector): The Google Coral EdgeTPU is available in USB and m.2 format allowing for a wide range of compatibility with devices.
-- [Hailo](#hailo-8l): The Hailo8 AI Acceleration module is available in m.2 format with a HAT for RPi devices, offering a wide range of compatibility with devices.
+- [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices, offering a wide range of compatibility with devices.
 
 **AMD**
+
 - [ROCm](#amdrocm-gpu-detector): ROCm can run on AMD Discrete GPUs to provide efficient object detection.
 - [ONNX](#onnx): ROCm will automatically be detected and used as a detector in the `-rocm` Frigate image when a supported ONNX model is configured.
 
 **Intel**
+
 - [OpenVino](#openvino-detector): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection.
 - [ONNX](#onnx): OpenVINO will automatically be detected and used as a detector in the default Frigate image when a supported ONNX model is configured.
 
-**Nvidia**
-- [TensortRT](#nvidia-tensorrt-detector): TensorRT can run on Nvidia GPUs and Jetson devices, using one of many default models.
-- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` or `-tensorrt-jp(4/5)` Frigate images when a supported ONNX model is configured.
+**Nvidia GPU**
+
+- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
+
+**Nvidia Jetson**
+- [TensortRT](#nvidia-tensorrt-detector): TensorRT can run on Jetson devices, using one of many default models.
+- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt-jp6` Frigate image when a supported ONNX model is configured.
 
 **Rockchip**
+
 - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs.
 
 **For Testing**
+
 - [CPU Detector (not recommended for actual use](#cpu-detector-not-recommended): Use a CPU to run tflite model, this is not recommended and in most cases OpenVINO can be used in CPU mode with better results.
 
 :::
 
 :::note
 
-Multiple detectors can not be mixed for object detection (ex: OpenVINO and Coral EdgeTPU can not be used for object detection at the same time). 
+Multiple detectors can not be mixed for object detection (ex: OpenVINO and Coral EdgeTPU can not be used for object detection at the same time).
 
 This does not affect using hardware for accelerating other tasks such as [semantic search](./semantic_search.md)
 
@@ -43,7 +52,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
 
 # Officially Supported Detectors
 
-Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8l`, `onnx`, `openvino`, `rknn`, `rocm`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8l`, `onnx`, `openvino`, `rknn`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
 
 ## Edge TPU Detector
 
@@ -124,17 +133,62 @@ detectors:
     device: pci
 ```
 
-## Hailo-8l
+---
 
-This detector is available for use with Hailo-8 AI Acceleration Module.
+## Hailo-8
 
-See the [installation docs](../frigate/installation.md#hailo-8l) for information on configuring the hailo8.
+This detector is available for use with both Hailo-8 and Hailo-8L AI Acceleration Modules. The integration automatically detects your hardware architecture via the Hailo CLI and selects the appropriate default model if no custom model is specified.
+
+See the [installation docs](../frigate/installation.md#hailo-8l) for information on configuring the Hailo hardware.
 
 ### Configuration
 
+When configuring the Hailo detector, you have two options to specify the model: a local **path** or a **URL**.
+If both are provided, the detector will first check for the model at the given local path. If the file is not found, it will download the model from the specified URL. The model file is cached under `/config/model_cache/hailo`.
+
+#### YOLO
+
+Use this configuration for YOLO-based models. When no custom model path or URL is provided, the detector automatically downloads the default model based on the detected hardware:
+
+- **Hailo-8 hardware:** Uses **YOLOv6n** (default: `yolov6n.hef`)
+- **Hailo-8L hardware:** Uses **YOLOv6n** (default: `yolov6n.hef`)
+
 ```yaml
 detectors:
-  hailo8l:
+  hailo:
+    type: hailo8l
+    device: PCIe
+
+model:
+  width: 320
+  height: 320
+  input_tensor: nhwc
+  input_pixel_format: rgb
+  input_dtype: int
+  model_type: yolo-generic
+  labelmap_path: /labelmap/coco-80.txt
+
+  # The detector automatically selects the default model based on your hardware:
+  # - For Hailo-8 hardware: YOLOv6n (default: yolov6n.hef)
+  # - For Hailo-8L hardware: YOLOv6n (default: yolov6n.hef)
+  #
+  # Optionally, you can specify a local model path to override the default.
+  # If a local path is provided and the file exists, it will be used instead of downloading.
+  # Example:
+  # path: /config/model_cache/hailo/yolov6n.hef
+  #
+  # You can also override using a custom URL:
+  # path: https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.14.0/hailo8/yolov6n.hef
+  # just make sure to give it the write configuration based on the model
+```
+
+#### SSD
+
+For SSD-based models, provide either a model path or URL to your compiled SSD model. The integration will first check the local path before downloading if necessary.
+
+```yaml
+detectors:
+  hailo:
     type: hailo8l
     device: PCIe
 
@@ -142,11 +196,49 @@ model:
   width: 300
   height: 300
   input_tensor: nhwc
-  input_pixel_format: bgr
+  input_pixel_format: rgb
   model_type: ssd
-  path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
+  # Specify the local model path (if available) or URL for SSD MobileNet v1.
+  # Example with a local path:
+  # path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
+  #
+  # Or override using a custom URL:
+  # path: https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.14.0/hailo8l/ssd_mobilenet_v1.hef
 ```
 
+#### Custom Models
+
+The Hailo detector supports all YOLO models compiled for Hailo hardware that include post-processing. You can specify a custom URL or a local path to download or use your model directly. If both are provided, the detector checks the local path first.
+
+```yaml
+detectors:
+  hailo:
+    type: hailo8l
+    device: PCIe
+
+model:
+  width: 640
+  height: 640
+  input_tensor: nhwc
+  input_pixel_format: rgb
+  input_dtype: int
+  model_type: yolo-generic
+  labelmap_path: /labelmap/coco-80.txt
+  # Optional: Specify a local model path.
+  # path: /config/model_cache/hailo/custom_model.hef
+  #
+  # Alternatively, or as a fallback, provide a custom URL:
+  # path: https://custom-model-url.com/path/to/model.hef
+```
+
+For additional ready-to-use models, please visit: https://github.com/hailo-ai/hailo_model_zoo
+
+Hailo8 supports all models in the Hailo Model Zoo that include HailoRT post-processing. You're welcome to choose any of these pre-configured models for your implementation.
+
+> **Note:**
+> The config.path parameter can accept either a local file path or a URL ending with .hef. When provided, the detector will first check if the path is a local file path. If the file exists locally, it will use it directly. If the file is not found locally or if a URL was provided, it will attempt to download the model from the specified URL.
+
+---
 
 ## OpenVINO Detector
 
@@ -201,15 +293,7 @@ This detector also supports YOLOX. Frigate does not come with any YOLOX models p
 
 #### YOLO-NAS
 
-[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. You can build and download a compatible model with pre-trained weights using [this notebook](https://github.com/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb).
-
-:::warning
-
-The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
-
-:::
-
-The input image size in this notebook is set to 320x320. This results in lower CPU usage and faster inference times without impacting performance in most cases due to the way Frigate crops video frames to areas of interest before running detection. The notebook and config can be updated to 640x640 if desired.
+[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. See [the models section](#downloading-yolo-nas-model) for more information on downloading the YOLO-NAS model for use in Frigate.
 
 After placing the downloaded onnx model in your config folder, you can use the following configuration:
 
@@ -231,114 +315,98 @@ model:
 
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
-## NVidia TensorRT Detector
+#### YOLO (v3, v4, v7, v9)
 
-Nvidia GPUs may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt` tag suffix, e.g. `ghcr.io/blakeblackshear/frigate:stable-tensorrt`. This detector is designed to work with Yolo models for object detection.
+YOLOv3, YOLOv4, YOLOv7, and [YOLOv9](https://github.com/WongKinYiu/yolov9) models are supported, but not included by default.
 
-### Minimum Hardware Support
+:::tip
 
-The TensorRT detector uses the 12.x series of CUDA libraries which have minor version compatibility. The minimum driver version on the host system must be `>=530`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
+The YOLO detector has been designed to support YOLOv3, YOLOv4, YOLOv7, and YOLOv9 models, but may support other YOLO model architectures as well.
 
-To use the TensorRT detector, make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
+:::
 
-There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
-
-#### Compatibility References:
-
-[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
-
-[NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
-
-[NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
-
-### Generate Models
-
-The model used for TensorRT must be preprocessed on the same hardware platform that they will run on. This means that each user must run additional setup to generate a model file for the TensorRT library. A script is included that will build several common models.
-
-The Frigate image will generate model files during startup if the specified model is not found. Processed models are stored in the `/config/model_cache` folder. Typically the `/config` path is mapped to a directory on the host already and the `model_cache` does not need to be mapped separately unless the user wants to store it in a different location on the host.
-
-By default, no models will be generated, but this can be overridden by specifying the `YOLO_MODELS` environment variable in Docker. One or more models may be listed in a comma-separated format, and each one will be generated. Models will only be generated if the corresponding `{model}.trt` file is not present in the `model_cache` folder, so you can force a model to be regenerated by deleting it from your Frigate data folder.
-
-If you have a Jetson device with DLAs (Xavier or Orin), you can generate a model that will run on the DLA by appending `-dla` to your model name, e.g. specify `YOLO_MODELS=yolov7-320-dla`. The model will run on DLA0 (Frigate does not currently support DLA1). DLA-incompatible layers will fall back to running on the GPU.
-
-If your GPU does not support FP16 operations, you can pass the environment variable `USE_FP16=False` to disable it.
-
-Specific models can be selected by passing an environment variable to the `docker run` command or in your `docker-compose.yml` file. Use the form `-e YOLO_MODELS=yolov4-416,yolov4-tiny-416` to select one or more model names. The models available are shown below.
-
-```
-yolov3-288
-yolov3-416
-yolov3-608
-yolov3-spp-288
-yolov3-spp-416
-yolov3-spp-608
-yolov3-tiny-288
-yolov3-tiny-416
-yolov4-288
-yolov4-416
-yolov4-608
-yolov4-csp-256
-yolov4-csp-512
-yolov4-p5-448
-yolov4-p5-896
-yolov4-tiny-288
-yolov4-tiny-416
-yolov4x-mish-320
-yolov4x-mish-640
-yolov7-tiny-288
-yolov7-tiny-416
-yolov7-640
-yolov7-416
-yolov7-320
-yolov7x-640
-yolov7x-320
-```
-
-An example `docker-compose.yml` fragment that converts the `yolov4-608` and `yolov7x-640` models for a Pascal card would look something like this:
-
-```yml
-frigate:
-  environment:
-    - YOLO_MODELS=yolov7-320,yolov7x-640
-    - USE_FP16=false
-```
-
-If you have multiple GPUs passed through to Frigate, you can specify which one to use for the model conversion. The conversion script will use the first visible GPU, however in systems with mixed GPU models you may not want to use the default index for object detection. Add the `TRT_MODEL_PREP_DEVICE` environment variable to select a specific GPU.
-
-```yml
-frigate:
-  environment:
-    - TRT_MODEL_PREP_DEVICE=0 # Optionally, select which GPU is used for  model optimization
-```
-
-### Configuration Parameters
-
-The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration.md#nvidia-gpus) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
-
-The TensorRT detector uses `.trt` model files that are located in `/config/model_cache/tensorrt` by default. These model path and dimensions used will depend on which model you have generated.
-
-Use the config below to work with generated TRT models:
+After placing the downloaded onnx model in your config folder, you can use the following configuration:
 
 ```yaml
 detectors:
-  tensorrt:
-    type: tensorrt
-    device: 0 #This is the default, select the first GPU
+  ov:
+    type: openvino
+    device: GPU
 
 model:
-  path: /config/model_cache/tensorrt/yolov7-320.trt
-  labelmap_path: /labelmap/coco-80.txt
+  model_type: yolo-generic
+  width: 320 # <--- should match the imgsize set during model export
+  height: 320 # <--- should match the imgsize set during model export
   input_tensor: nchw
-  input_pixel_format: rgb
+  input_dtype: float
+  path: /config/model_cache/yolo.onnx
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
+
+#### RF-DETR
+
+[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more informatoin on downloading the RF-DETR model for use in Frigate.
+
+:::warning
+
+Due to the size and complexity of the RF-DETR model, it is only recommended to be run with discrete Arc Graphics Cards.
+
+:::
+
+After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
+
+```yaml
+detectors:
+  ov:
+    type: openvino
+    device: GPU
+
+model:
+  model_type: rfdetr
   width: 320
   height: 320
+  input_tensor: nchw
+  input_dtype: float
+  path: /config/model_cache/rfdetr.onnx
 ```
 
+#### D-FINE
+
+[D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate.
+
+:::warning
+
+Currently D-FINE models only run on OpenVINO in CPU mode, GPUs currently fail to compile the model
+
+:::
+
+After placing the downloaded onnx model in your config/model_cache folder, you can use the following configuration:
+
+```yaml
+detectors:
+  ov:
+    type: openvino
+    device: GPU
+
+model:
+  model_type: dfine
+  width: 640
+  height: 640
+  input_tensor: nchw
+  input_dtype: float
+  path: /config/model_cache/dfine_s_obj2coco.onnx
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
+
 ## AMD/ROCm GPU detector
 
 ### Setup
 
-The `rocm` detector supports running YOLO-NAS models on AMD GPUs. Use a frigate docker image with `-rocm` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-rocm`.
+Support for AMD GPUs is provided using the [ONNX detector](#ONNX). In order to utilize the AMD GPU for object detection use a frigate docker image with `-rocm` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-rocm`.
 
 ### Docker settings for GPU access
 
@@ -351,7 +419,7 @@ $ docker run --device=/dev/kfd --device=/dev/dri  \
     ...
 ```
 
-When using docker compose:
+When using Docker Compose:
 
 ```yaml
 services:
@@ -383,12 +451,12 @@ $ docker run -e HSA_OVERRIDE_GFX_VERSION=9.0.0 \
     ...
 ```
 
-When using docker compose:
+When using Docker Compose:
 
 ```yaml
 services:
   frigate:
-...
+
 environment:
   HSA_OVERRIDE_GFX_VERSION: "9.0.0"
 ```
@@ -417,41 +485,14 @@ $ docker exec -it frigate /bin/bash -c '(unset HSA_OVERRIDE_GFX_VERSION && /opt/
 
 ### Supported Models
 
-There is no default model provided, the following formats are supported:
+See [ONNX supported models](#supported-models) for supported models, there are some caveats:
 
-#### YOLO-NAS
-
-[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. You can build and download a compatible model with pre-trained weights using [this notebook](https://github.com/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb).
-
-:::warning
-
-The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
-
-:::
-
-The input image size in this notebook is set to 320x320. This results in lower CPU usage and faster inference times without impacting performance in most cases due to the way Frigate crops video frames to areas of interest before running detection. The notebook and config can be updated to 640x640 if desired.
-
-After placing the downloaded onnx model in your config folder, you can use the following configuration:
-
-```yaml
-detectors:
-  rocm:
-    type: rocm
-
-model:
-  model_type: yolonas
-  width: 320 # <--- should match whatever was set in notebook
-  height: 320 # <--- should match whatever was set in notebook
-  input_pixel_format: bgr
-  path: /config/yolo_nas_s.onnx
-  labelmap_path: /labelmap/coco-80.txt
-```
-
-Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
+- D-FINE models are not supported
+- YOLO-NAS models are known to not run well on integrated GPUs
 
 ## ONNX
 
-ONNX is an open format for building machine learning models, Frigate supports running ONNX models on CPU, OpenVINO, and TensorRT. On startup Frigate will automatically try to use a GPU if one is available.
+ONNX is an open format for building machine learning models, Frigate supports running ONNX models on CPU, OpenVINO, ROCm, and TensorRT. On startup Frigate will automatically try to use a GPU if one is available.
 
 :::info
 
@@ -467,7 +508,7 @@ If the correct build is used for your GPU then the GPU will be detected and used
 
 - **Nvidia**
   - Nvidia GPUs will automatically be detected and used with the ONNX detector in the `-tensorrt` Frigate image.
-  - Jetson devices will automatically be detected and used with the ONNX detector in the `-tensorrt-jp(4/5)` Frigate image.
+  - Jetson devices will automatically be detected and used with the ONNX detector in the `-tensorrt-jp6` Frigate image.
 
 :::
 
@@ -491,15 +532,7 @@ There is no default model provided, the following formats are supported:
 
 #### YOLO-NAS
 
-[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. You can build and download a compatible model with pre-trained weights using [this notebook](https://github.com/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb).
-
-:::warning
-
-The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
-
-:::
-
-The input image size in this notebook is set to 320x320. This results in lower CPU usage and faster inference times without impacting performance in most cases due to the way Frigate crops video frames to areas of interest before running detection. The notebook and config can be updated to 640x640 if desired.
+[YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. See [the models section](#downloading-yolo-nas-model) for more information on downloading the YOLO-NAS model for use in Frigate.
 
 After placing the downloaded onnx model in your config folder, you can use the following configuration:
 
@@ -518,6 +551,99 @@ model:
   labelmap_path: /labelmap/coco-80.txt
 ```
 
+#### YOLO (v3, v4, v7, v9)
+
+YOLOv3, YOLOv4, YOLOv7, and [YOLOv9](https://github.com/WongKinYiu/yolov9) models are supported, but not included by default.
+
+:::tip
+
+The YOLO detector has been designed to support YOLOv3, YOLOv4, YOLOv7, and YOLOv9 models, but may support other YOLO model architectures as well. See [the models section](#downloading-yolo-models) for more information on downloading YOLO models for use in Frigate.
+
+:::
+
+After placing the downloaded onnx model in your config folder, you can use the following configuration:
+
+```yaml
+detectors:
+  onnx:
+    type: onnx
+
+model:
+  model_type: yolo-generic
+  width: 320 # <--- should match the imgsize set during model export
+  height: 320 # <--- should match the imgsize set during model export
+  input_tensor: nchw
+  input_dtype: float
+  path: /config/model_cache/yolo.onnx
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
+
+#### YOLOx
+
+[YOLOx](https://github.com/Megvii-BaseDetection/YOLOX) models are supported, but not included by default. See [the models section](#downloading-yolo-models) for more information on downloading the YOLOx model for use in Frigate.
+
+After placing the downloaded onnx model in your config folder, you can use the following configuration:
+
+```yaml
+detectors:
+  onnx:
+    type: onnx
+
+model:
+  model_type: yolox
+  width: 416 # <--- should match the imgsize set during model export
+  height: 416 # <--- should match the imgsize set during model export
+  input_tensor: nchw
+  input_dtype: float_denorm
+  path: /config/model_cache/yolox_tiny.onnx
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
+
+#### RF-DETR
+
+[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more information on downloading the RF-DETR model for use in Frigate.
+
+After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
+
+```yaml
+detectors:
+  onnx:
+    type: onnx
+
+model:
+  model_type: rfdetr
+  width: 320
+  height: 320
+  input_tensor: nchw
+  input_dtype: float
+  path: /config/model_cache/rfdetr.onnx
+```
+
+#### D-FINE
+
+[D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate.
+
+After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
+
+```yaml
+detectors:
+  onnx:
+    type: onnx
+
+model:
+  model_type: dfine
+  width: 640
+  height: 640
+  input_tensor: nchw
+  input_dtype: float
+  path: /config/model_cache/dfine_m_obj2coco.onnx
+  labelmap_path: /labelmap/coco-80.txt
+```
+
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
 ## CPU Detector (not recommended)
@@ -573,6 +699,88 @@ To verify that the integration is working correctly, start Frigate and observe t
 
 # Community Supported Detectors
 
+## NVidia TensorRT Detector
+
+Nvidia Jetson devices may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt-jp6` tag suffix, e.g. `ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp6`. This detector is designed to work with Yolo models for object detection.
+
+### Generate Models
+
+The model used for TensorRT must be preprocessed on the same hardware platform that they will run on. This means that each user must run additional setup to generate a model file for the TensorRT library. A script is included that will build several common models.
+
+The Frigate image will generate model files during startup if the specified model is not found. Processed models are stored in the `/config/model_cache` folder. Typically the `/config` path is mapped to a directory on the host already and the `model_cache` does not need to be mapped separately unless the user wants to store it in a different location on the host.
+
+By default, no models will be generated, but this can be overridden by specifying the `YOLO_MODELS` environment variable in Docker. One or more models may be listed in a comma-separated format, and each one will be generated. Models will only be generated if the corresponding `{model}.trt` file is not present in the `model_cache` folder, so you can force a model to be regenerated by deleting it from your Frigate data folder.
+
+If you have a Jetson device with DLAs (Xavier or Orin), you can generate a model that will run on the DLA by appending `-dla` to your model name, e.g. specify `YOLO_MODELS=yolov7-320-dla`. The model will run on DLA0 (Frigate does not currently support DLA1). DLA-incompatible layers will fall back to running on the GPU.
+
+If your GPU does not support FP16 operations, you can pass the environment variable `USE_FP16=False` to disable it.
+
+Specific models can be selected by passing an environment variable to the `docker run` command or in your `docker-compose.yml` file. Use the form `-e YOLO_MODELS=yolov4-416,yolov4-tiny-416` to select one or more model names. The models available are shown below.
+
+<details>
+<summary>Available Models</summary>
+```
+yolov3-288
+yolov3-416
+yolov3-608
+yolov3-spp-288
+yolov3-spp-416
+yolov3-spp-608
+yolov3-tiny-288
+yolov3-tiny-416
+yolov4-288
+yolov4-416
+yolov4-608
+yolov4-csp-256
+yolov4-csp-512
+yolov4-p5-448
+yolov4-p5-896
+yolov4-tiny-288
+yolov4-tiny-416
+yolov4x-mish-320
+yolov4x-mish-640
+yolov7-tiny-288
+yolov7-tiny-416
+yolov7-640
+yolov7-416
+yolov7-320
+yolov7x-640
+yolov7x-320
+```
+</details>
+
+An example `docker-compose.yml` fragment that converts the `yolov4-608` and `yolov7x-640` models would look something like this:
+
+```yml
+frigate:
+  environment:
+    - YOLO_MODELS=yolov7-320,yolov7x-640
+    - USE_FP16=false
+```
+
+### Configuration Parameters
+
+The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration_video.md#nvidia-gpus) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
+
+The TensorRT detector uses `.trt` model files that are located in `/config/model_cache/tensorrt` by default. These model path and dimensions used will depend on which model you have generated.
+
+Use the config below to work with generated TRT models:
+
+```yaml
+detectors:
+  tensorrt:
+    type: tensorrt
+    device: 0 #This is the default, select the first GPU
+
+model:
+  path: /config/model_cache/tensorrt/yolov7-320.trt
+  labelmap_path: /labelmap/coco-80.txt
+  input_tensor: nchw
+  input_pixel_format: rgb
+  width: 320 # MUST match the chosen model i.e yolov7-320 -> 320, yolov4-416 -> 416
+  height: 320 # MUST match the chosen model i.e yolov7-320 -> 320 yolov4-416 -> 416
+```
+
 ## Rockchip platform
 
 Hardware accelerated object detection is supported on the following SoCs:
@@ -583,66 +791,27 @@ Hardware accelerated object detection is supported on the following SoCs:
 - RK3576
 - RK3588
 
-This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.0.0.beta0. Currently, only [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) is supported as object detection model.
+This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.3.2.
 
-### Prerequisites
+:::tip
 
-Make sure to follow the [Rockchip specific installation instrucitions](/frigate/installation#rockchip-platform).
-
-### Configuration
-
-This `config.yml` shows all relevant options to configure the detector and explains them. All values shown are the default values (except for two). Lines that are required at least to use the detector are labeled as required, all other lines are optional.
+When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming NPU resources are available. An example configuration would be:
 
 ```yaml
-detectors: # required
-  rknn: # required
-    type: rknn # required
-    # number of NPU cores to use
-    # 0 means choose automatically
-    # increase for better performance if you have a multicore NPU e.g. set to 3 on rk3588
+detectors:
+  rknn_0:
+    type: rknn
+    num_cores: 0
+  rknn_1:
+    type: rknn
     num_cores: 0
-
-model: # required
-  # name of model (will be automatically downloaded) or path to your own .rknn model file
-  # possible values are:
-  # - deci-fp16-yolonas_s
-  # - deci-fp16-yolonas_m
-  # - deci-fp16-yolonas_l
-  # - /config/model_cache/your_custom_model.rknn
-  path: deci-fp16-yolonas_s
-  # width and height of detection frames
-  width: 320
-  height: 320
-  # pixel format of detection frame
-  # default value is rgb but yolo models usually use bgr format
-  input_pixel_format: bgr # required
-  # shape of detection frame
-  input_tensor: nhwc
-  # needs to be adjusted to model, see below
-  labelmap_path: /labelmap.txt # required
 ```
 
-The correct labelmap must be loaded for each model. If you use a custom model (see notes below), you must make sure to provide the correct labelmap. The table below lists the correct paths for the bundled models:
-
-| `path`                | `labelmap_path`       |
-| --------------------- | --------------------- |
-| deci-fp16-yolonas\_\* | /labelmap/coco-80.txt |
-
-### Choosing a model
-
-:::warning
-
-The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
-
 :::
 
-The inference time was determined on a rk3588 with 3 NPU cores.
+### Prerequisites
 
-| Model               | Size in mb | Inference time in ms |
-| ------------------- | ---------- | -------------------- |
-| deci-fp16-yolonas_s | 24         | 25                   |
-| deci-fp16-yolonas_m | 62         | 35                   |
-| deci-fp16-yolonas_l | 81         | 45                   |
+Make sure to follow the [Rockchip specific installation instructions](/frigate/installation#rockchip-platform).
 
 :::tip
 
@@ -655,5 +824,230 @@ $ cat /sys/kernel/debug/rknpu/load
 
 :::
 
+### Supported Models
+
+This `config.yml` shows all relevant options to configure the detector and explains them. All values shown are the default values (except for two). Lines that are required at least to use the detector are labeled as required, all other lines are optional.
+
+```yaml
+detectors: # required
+  rknn: # required
+    type: rknn # required
+    # number of NPU cores to use
+    # 0 means choose automatically
+    # increase for better performance if you have a multicore NPU e.g. set to 3 on rk3588
+    num_cores: 0
+```
+
+The inference time was determined on a rk3588 with 3 NPU cores.
+
+| Model                 | Size in mb | Inference time in ms |
+| --------------------- | ---------- | -------------------- |
+| deci-fp16-yolonas_s   | 24         | 25                   |
+| deci-fp16-yolonas_m   | 62         | 35                   |
+| deci-fp16-yolonas_l   | 81         | 45                   |
+| frigate-fp16-yolov9-t | 6          | 35                   |
+| rock-i8-yolox_nano    | 3          | 14                   |
+| rock-i8_yolox_tiny    | 6          | 18                   |
+
 - All models are automatically downloaded and stored in the folder `config/model_cache/rknn_cache`. After upgrading Frigate, you should remove older models to free up space.
 - You can also provide your own `.rknn` model. You should not save your own models in the `rknn_cache` folder, store them directly in the `model_cache` folder or another subfolder. To convert a model to `.rknn` format see the `rknn-toolkit2` (requires a x86 machine). Note, that there is only post-processing for the supported models.
+
+#### YOLO-NAS
+
+```yaml
+model: # required
+  # name of model (will be automatically downloaded) or path to your own .rknn model file
+  # possible values are:
+  # - deci-fp16-yolonas_s
+  # - deci-fp16-yolonas_m
+  # - deci-fp16-yolonas_l
+  # your yolonas_model.rknn
+  path: deci-fp16-yolonas_s
+  model_type: yolonas
+  width: 320
+  height: 320
+  input_pixel_format: bgr
+  input_tensor: nhwc
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+:::warning
+
+The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
+
+:::
+
+#### YOLO (v9)
+
+```yaml
+model: # required
+  # name of model (will be automatically downloaded) or path to your own .rknn model file
+  # possible values are:
+  # - frigate-fp16-yolov9-t
+  # - frigate-fp16-yolov9-s
+  # - frigate-fp16-yolov9-m
+  # - frigate-fp16-yolov9-c
+  # - frigate-fp16-yolov9-e
+  # your yolo_model.rknn
+  path: frigate-fp16-yolov9-t
+  model_type: yolo-generic
+  width: 320
+  height: 320
+  input_tensor: nhwc
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+#### YOLOx
+
+```yaml
+model: # required
+  # name of model (will be automatically downloaded) or path to your own .rknn model file
+  # possible values are:
+  # - rock-i8-yolox_nano
+  # - rock-i8-yolox_tiny
+  # - rock-fp16-yolox_nano
+  # - rock-fp16-yolox_tiny
+  # your yolox_model.rknn
+  path: rock-i8-yolox_nano
+  model_type: yolox
+  width: 416
+  height: 416
+  input_tensor: nhwc
+  labelmap_path: /labelmap/coco-80.txt
+```
+
+### Converting your own onnx model to rknn format
+
+To convert a onnx model to the rknn format using the [rknn-toolkit2](https://github.com/airockchip/rknn-toolkit2/) you have to:
+
+- Place one ore more models in onnx format in the directory `config/model_cache/rknn_cache/onnx` on your docker host (this might require `sudo` privileges).
+- Save the configuration file under `config/conv2rknn.yaml` (see below for details).
+- Run `docker exec <frigate_container_id> python3 /opt/conv2rknn.py`. If the conversion was successful, the rknn models will be placed in `config/model_cache/rknn_cache`.
+
+This is an example configuration file that you need to adjust to your specific onnx model:
+
+```yaml
+soc: ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
+quantization: false
+
+output_name: "{input_basename}"
+
+config:
+  mean_values: [[0, 0, 0]]
+  std_values: [[255, 255, 255]]
+  quant_img_RGB2BGR: true
+```
+
+Explanation of the paramters:
+
+- `soc`: A list of all SoCs you want to build the rknn model for. If you don't specify this parameter, the script tries to find out your SoC and builds the rknn model for this one.
+- `quantization`: true: 8 bit integer (i8) quantization, false: 16 bit float (fp16). Default: false.
+- `output_name`: The output name of the model. The following variables are available:
+  - `quant`: "i8" or "fp16" depending on the config
+  - `input_basename`: the basename of the input model (e.g. "my_model" if the input model is calles "my_model.onnx")
+  - `soc`: the SoC this model was build for (e.g. "rk3588")
+  - `tk_version`: Version of `rknn-toolkit2` (e.g. "2.3.0")
+  - **example**: Specifying `output_name = "frigate-{quant}-{input_basename}-{soc}-v{tk_version}"` could result in a model called `frigate-i8-my_model-rk3588-v2.3.0.rknn`.
+- `config`: Configuration passed to `rknn-toolkit2` for model conversion. For an explanation of all available parameters have a look at section "2.2. Model configuration" of [this manual](https://github.com/MarcA711/rknn-toolkit2/releases/download/v2.3.2/03_Rockchip_RKNPU_API_Reference_RKNN_Toolkit2_V2.3.2_EN.pdf).
+
+# Models
+
+Some model types are not included in Frigate by default.
+
+## Downloading Models
+
+Here are some tips for getting different model types
+
+### Downloading D-FINE Model
+
+To export as ONNX:
+
+1. Clone: https://github.com/Peterande/D-FINE and install all dependencies.
+2. Select and download a checkpoint from the [readme](https://github.com/Peterande/D-FINE).
+3. Modify line 58 of `tools/deployment/export_onnx.py` and change batch size to 1: `data = torch.rand(1, 3, 640, 640)`
+4. Run the export, making sure you select the right config, for your checkpoint.
+
+Example:
+
+```
+python3 tools/deployment/export_onnx.py -c configs/dfine/objects365/dfine_hgnetv2_m_obj2coco.yml -r output/dfine_m_obj2coco.pth
+```
+
+:::tip
+
+Model export has only been tested on Linux (or WSL2). Not all dependencies are in `requirements.txt`. Some live in the deployment folder, and some are still missing entirely and must be installed manually.
+
+Make sure you change the batch size to 1 before exporting.
+
+:::
+
+### Download RF-DETR Model
+
+RF-DETR can be exported as ONNX by running the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=Nano` in the first line to `Nano`, `Small`, or `Medium` size.
+
+```sh
+docker build . --build-arg MODEL_SIZE=Nano --output . -f- <<'EOF'
+FROM python:3.11 AS build
+RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
+COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
+WORKDIR /rfdetr
+RUN uv pip install --system rfdetr onnx onnxruntime onnxsim onnx-graphsurgeon
+ARG MODEL_SIZE
+RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export()"
+FROM scratch
+ARG MODEL_SIZE
+COPY --from=build /rfdetr/output/inference_model.onnx /rfdetr-${MODEL_SIZE}.onnx
+EOF
+```
+
+### Downloading YOLO-NAS Model
+
+You can build and download a compatible model with pre-trained weights using [this notebook](https://github.com/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb) which can be run directly in [Google Colab](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb).
+
+:::warning
+
+The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
+
+:::
+
+The input image size in this notebook is set to 320x320. This results in lower CPU usage and faster inference times without impacting performance in most cases due to the way Frigate crops video frames to areas of interest before running detection. The notebook and config can be updated to 640x640 if desired.
+
+### Downloading YOLO Models
+
+#### YOLOx
+
+YOLOx models can be downloaded [from the YOLOx repo](https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ONNXRuntime).
+
+#### YOLOv3, YOLOv4, and YOLOv7
+
+To export as ONNX:
+
+```sh
+git clone https://github.com/NateMeyer/tensorrt_demos
+cd tensorrt_demos/yolo
+./download_yolo.sh
+python3 yolo_to_onnx.py -m yolov7-320
+```
+
+#### YOLOv9
+
+YOLOv9 model can be exported as ONNX using the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=t` in the first line to the [model size](https://github.com/WongKinYiu/yolov9#performance) you would like to convert (available sizes are `t`, `s`, `m`, `c`, and `e`).
+
+```sh
+docker build . --build-arg MODEL_SIZE=t --output . -f- <<'EOF'
+FROM python:3.11 AS build
+RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
+COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
+WORKDIR /yolov9
+ADD https://github.com/WongKinYiu/yolov9.git .
+RUN uv pip install --system -r requirements.txt
+RUN uv pip install --system onnx onnxruntime onnx-simplifier>=0.4.1
+ARG MODEL_SIZE
+ADD https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-${MODEL_SIZE}-converted.pt yolov9-${MODEL_SIZE}.pt
+RUN sed -i "s/ckpt = torch.load(attempt_download(w), map_location='cpu')/ckpt = torch.load(attempt_download(w), map_location='cpu', weights_only=False)/g" models/experimental.py
+RUN python3 export.py --weights ./yolov9-${MODEL_SIZE}.pt --imgsz 320 --simplify --include onnx
+FROM scratch
+ARG MODEL_SIZE
+COPY --from=build /yolov9/yolov9-${MODEL_SIZE}.onnx /
+EOF
+```
diff --git a/docs/docs/configuration/object_filters.md b/docs/docs/configuration/object_filters.md
index ca7260094..3f36086c0 100644
--- a/docs/docs/configuration/object_filters.md
+++ b/docs/docs/configuration/object_filters.md
@@ -34,7 +34,7 @@ False positives can also be reduced by filtering a detection based on its shape.
 
 ### Object Area
 
-`min_area` and `max_area` filter on the area of an objects bounding box in pixels and can be used to reduce false positives that are outside the range of expected sizes. For example when a leaf is detected as a dog or when a large tree is detected as a person, these can be reduced by adding a `min_area` / `max_area` filter.
+`min_area` and `max_area` filter on the area of an objects bounding box and can be used to reduce false positives that are outside the range of expected sizes. For example when a leaf is detected as a dog or when a large tree is detected as a person, these can be reduced by adding a `min_area` / `max_area` filter. These values can either be in pixels or as a percentage of the frame (for example, 0.12 represents 12% of the frame).
 
 ### Object Proportions
 
diff --git a/docs/docs/configuration/record.md b/docs/docs/configuration/record.md
index fd7de42d0..52c0f0c88 100644
--- a/docs/docs/configuration/record.md
+++ b/docs/docs/configuration/record.md
@@ -146,7 +146,7 @@ The above configuration example can be added globally or on a per camera basis.
 
 ## Can I have "continuous" recordings, but only at certain times?
 
-Using Frigate UI, HomeAssistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
+Using Frigate UI, Home Assistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
 
 ## How do I export recordings?
 
@@ -174,6 +174,10 @@ To reduce the output file size the ffmpeg parameter `-qp n` can be utilized (whe
 
 :::
 
+## Apple Compatibility with H.265 Streams
+
+Apple devices running the Safari browser may fail to playback h.265 recordings. The [apple compatibility option](../configuration/camera_specific.md#h265-cameras-via-safari) should be used to ensure seamless playback on Apple devices.
+
 ## Syncing Recordings With Disk
 
 In some cases the recordings files may be deleted but Frigate will not know this has happened. Recordings sync can be enabled which will tell Frigate to check the file system and delete any db entries for files which don't exist.
@@ -183,6 +187,8 @@ record:
   sync_recordings: True
 ```
 
+This feature is meant to fix variations in files, not completely delete entries in the database. If you delete all of your media, don't use `sync_recordings`, just stop Frigate, delete the `frigate.db` database, and restart.
+
 :::warning
 
 The sync operation uses considerable CPU resources and in most cases is not needed, only enable when necessary.
diff --git a/docs/docs/configuration/reference.md b/docs/docs/configuration/reference.md
index ae5549113..2de72417c 100644
--- a/docs/docs/configuration/reference.md
+++ b/docs/docs/configuration/reference.md
@@ -46,6 +46,11 @@ mqtt:
   tls_insecure: false
   # Optional: interval in seconds for publishing stats (default: shown below)
   stats_interval: 60
+  # Optional: QoS level for subscriptions and publishing (default: shown below)
+  # 0 = at most once
+  # 1 = at least once
+  # 2 = exactly once
+  qos: 0
 
 # Optional: Detectors configuration. Defaults to a single CPU detector
 detectors:
@@ -73,16 +78,21 @@ proxy:
   # Optional: Mapping for headers from upstream proxies. Only used if Frigate's auth
   # is disabled.
   # NOTE: Many authentication proxies pass a header downstream with the authenticated
-  #       user name. Not all values are supported. It must be a whitelisted header.
+  #       user name and role. Not all values are supported. It must be a whitelisted header.
   #       See the docs for more info.
   header_map:
     user: x-forwarded-user
+    role: x-forwarded-role
   # Optional: Url for logging out a user. This sets the location of the logout url in
   # the UI.
   logout_url: /api/logout
   # Optional: Auth secret that is checked against the X-Proxy-Secret header sent from
   # the proxy. If not set, all requests are trusted regardless of origin.
   auth_secret: None
+  # Optional: The default role to use for proxy auth. Must be "admin" or "viewer"
+  default_role: viewer
+  # Optional: The character used to separate multiple values in the proxy headers. (default: shown below)
+  separator: ","
 
 # Optional: Authentication configuration
 auth:
@@ -120,7 +130,7 @@ auth:
 # NOTE: The default values are for the EdgeTPU detector.
 # Other detectors will require the model config to be set.
 model:
-  # Required: path to the model (default: automatic based on detector)
+  # Required: path to the model. Frigate+ models use plus://<model_id> (default: automatic based on detector)
   path: /edgetpu_model.tflite
   # Required: path to the labelmap (default: shown below)
   labelmap_path: /labelmap.txt
@@ -244,10 +254,14 @@ ffmpeg:
   # If set too high, then if a ffmpeg crash or camera stream timeout occurs, you could potentially lose up to a maximum of retry_interval second(s) of footage
   # NOTE: this can be a useful setting for Wireless / Battery cameras to reduce how much footage is potentially lost during a connection timeout.
   retry_interval: 10
+  # Optional: Set tag on HEVC (H.265) recording stream to improve compatibility with Apple players. (default: shown below)
+  apple_compatibility: false
 
 # Optional: Detect configuration
 # NOTE: Can be overridden at the camera level
 detect:
+  # Optional: enables detection for the camera (default: shown below)
+  enabled: False
   # Optional: width of the frame for the input with the detect role (default: use native stream resolution)
   width: 1280
   # Optional: height of the frame for the input with the detect role (default: use native stream resolution)
@@ -255,8 +269,6 @@ detect:
   # Optional: desired fps for your camera for the input with the detect role (default: shown below)
   # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
   fps: 5
-  # Optional: enables detection for the camera (default: True)
-  enabled: True
   # Optional: Number of consecutive detection hits required for an object to be initialized in the tracker. (default: 1/2 the frame rate)
   min_initialized: 2
   # Optional: Number of frames without a detection before Frigate considers an object to be gone. (default: 5x the frame rate)
@@ -310,9 +322,11 @@ objects:
   # Optional: filters to reduce false positives for specific object types
   filters:
     person:
-      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
+      # Optional: minimum size of the bounding box for the detected object (default: 0).
+      # Can be specified as an integer for width*height in pixels or as a decimal representing the percentage of the frame (0.000001 to 0.99).
       min_area: 5000
-      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
+      # Optional: maximum size of the bounding box for the detected object (default: 24000000).
+      # Can be specified as an integer for width*height in pixels or as a decimal representing the percentage of the frame (0.000001 to 0.99).
       max_area: 100000
       # Optional: minimum width/height of the bounding box for the detected object (default: 0)
       min_ratio: 0.5
@@ -331,6 +345,8 @@ objects:
 review:
   # Optional: alerts configuration
   alerts:
+    # Optional: enables alerts for the camera (default: shown below)
+    enabled: True
     # Optional: labels that qualify as an alert (default: shown below)
     labels:
       - car
@@ -343,6 +359,8 @@ review:
       - driveway
   # Optional: detections configuration
   detections:
+    # Optional: enables detections for the camera (default: shown below)
+    enabled: True
     # Optional: labels that qualify as a detection (default: all labels that are tracked / listened to)
     labels:
       - car
@@ -400,12 +418,15 @@ motion:
   mqtt_off_delay: 30
 
 # Optional: Notification Configuration
+# NOTE: Can be overridden at the camera level (except email)
 notifications:
   # Optional: Enable notification service (default: shown below)
   enabled: False
   # Optional: Email for push service to reach out to
   # NOTE: This is required to use notifications
   email: "admin@example.com"
+  # Optional: Cooldown time for notifications in seconds (default: shown below)
+  cooldown: 0
 
 # Optional: Record configuration
 # NOTE: Can be overridden at the camera level
@@ -520,12 +541,65 @@ semantic_search:
   enabled: False
   # Optional: Re-index embeddings database from historical tracked objects (default: shown below)
   reindex: False
+  # Optional: Set the model used for embeddings. (default: shown below)
+  model: "jinav1"
   # Optional: Set the model size used for embeddings. (default: shown below)
   # NOTE: small model runs on CPU and large model runs on GPU
   model_size: "small"
 
+# Optional: Configuration for face recognition capability
+# NOTE: enabled, min_area can be overridden at the camera level
+face_recognition:
+  # Optional: Enable face recognition (default: shown below)
+  enabled: False
+  # Optional: Minimum face distance score required to mark as a potential match (default: shown below)
+  unknown_score: 0.8
+  # Optional: Minimum face detection score required to detect a face (default: shown below)
+  # NOTE: This only applies when not running a Frigate+ model
+  detection_threshold: 0.7
+  # Optional: Minimum face distance score required to be considered a match (default: shown below)
+  recognition_threshold: 0.9
+  # Optional: Min area of detected face box to consider running face recognition (default: shown below)
+  min_area: 500
+  # Optional: Min face recognitions for the sub label to be applied to the person object (default: shown below)
+  min_faces: 1
+  # Optional: Number of images of recognized faces to save for training (default: shown below)
+  save_attempts: 100
+  # Optional: Apply a blur quality filter to adjust confidence based on the blur level of the image (default: shown below)
+  blur_confidence_filter: True
+  # Optional: Set the model size used face recognition. (default: shown below)
+  model_size: small
+
+# Optional: Configuration for license plate recognition capability
+# NOTE: enabled, min_area, and enhancement can be overridden at the camera level
+lpr:
+  # Optional: Enable license plate recognition (default: shown below)
+  enabled: False
+  # Optional: The device to run the models on (default: shown below)
+  device: CPU
+  # Optional: Set the model size used for text detection. (default: shown below)
+  model_size: small
+  # Optional: License plate object confidence score required to begin running recognition (default: shown below)
+  detection_threshold: 0.7
+  # Optional: Minimum area of license plate to begin running recognition (default: shown below)
+  min_area: 1000
+  # Optional: Recognition confidence score required to add the plate to the object as a sub label (default: shown below)
+  recognition_threshold: 0.9
+  # Optional: Minimum number of characters a license plate must have to be added to the object as a sub label (default: shown below)
+  min_plate_length: 4
+  # Optional: Regular expression for the expected format of a license plate (default: shown below)
+  format: None
+  # Optional: Allow this number of missing/incorrect characters to still cause a detected plate to match a known plate
+  match_distance: 1
+  # Optional: Known plates to track (strings or regular expressions) (default: shown below)
+  known_plates: {}
+  # Optional: Enhance the detected plate image with contrast adjustment and denoising (default: shown below)
+  # A value between 0 and 10. Higher values are not always better and may perform worse than lower values.
+  enhancement: 0
+  # Optional: Save plate images to /media/frigate/clips/lpr for debugging purposes (default: shown below)
+  debug_save_plates: False
+
 # Optional: Configuration for AI generated tracked object descriptions
-# NOTE: Semantic Search must be enabled for this to do anything.
 # WARNING: Depending on the provider, this will send thumbnails over the internet
 # to Google or OpenAI's LLMs to generate descriptions. It can be overridden at
 # the camera level (enabled: False) to enhance privacy for indoor cameras.
@@ -547,18 +621,20 @@ genai:
     person: "My special person prompt."
 
 # Optional: Restream configuration
-# Uses https://github.com/AlexxIT/go2rtc (v1.9.2)
+# Uses https://github.com/AlexxIT/go2rtc (v1.9.9)
 # NOTE: The default go2rtc API port (1984) must be used,
-#       changing this port for the integrated go2rtc instance is not supported. 
+#       changing this port for the integrated go2rtc instance is not supported.
 go2rtc:
 
 # Optional: Live stream configuration for WebUI.
 # NOTE: Can be overridden at the camera level
 live:
-  # Optional: Set the name of the stream configured in go2rtc
+  # Optional: Set the streams configured in go2rtc
   # that should be used for live view in frigate WebUI. (default: name of camera)
   # NOTE: In most cases this should be set at the camera level only.
-  stream_name: camera_name
+  streams:
+    main_stream: main_stream_name
+    sub_stream: sub_stream_name
   # Optional: Set the height of the jsmpeg stream. (default: 720)
   # This must be less than or equal to the height of the detect stream. Lower resolutions
   # reduce bandwidth required for viewing the jsmpeg stream. Width is computed to match known aspect ratio.
@@ -599,6 +675,9 @@ cameras:
     # If disabled: config is used but no live stream and no capture etc.
     # Events/Recordings are still viewable.
     enabled: True
+    # Optional: camera type used for some Frigate features (default: shown below)
+    # Options are "generic" and "lpr"
+    type: "generic"
     # Required: ffmpeg settings for the camera
     ffmpeg:
       # Required: A list of input streams for the camera. See documentation for more information.
@@ -643,7 +722,10 @@ cameras:
       front_steps:
         # Required: List of x,y coordinates to define the polygon of the zone.
         # NOTE: Presence in a zone is evaluated only based on the bottom center of the objects bounding box.
-        coordinates: 0.284,0.997,0.389,0.869,0.410,0.745
+        coordinates: 0.033,0.306,0.324,0.138,0.439,0.185,0.042,0.428
+        # Optional: The real-world distances of a 4-sided zone used for zones with speed estimation enabled (default: none)
+        # List distances in order of the zone points coordinates and use the unit system defined in the ui config
+        distances: 10,15,12,11
         # Optional: Number of consecutive frames required for object to be considered present in the zone (default: shown below).
         inertia: 3
         # Optional: Number of seconds that an object must loiter to be considered in the zone (default: shown below)
@@ -764,6 +846,12 @@ cameras:
         - cat
       # Optional: Restrict generation to objects that entered any of the listed zones (default: none, all zones qualify)
       required_zones: []
+      # Optional: What triggers to use to send frames for a tracked object to generative AI (default: shown below)
+      send_triggers:
+        # Once the object is no longer tracked
+        tracked_object_end: True
+        # Optional: After X many significant updates are received (default: shown below)
+        after_significant_updates: None
       # Optional: Save thumbnails sent to generative AI for review/debugging purposes (default: shown below)
       debug_save_thumbnails: False
 
@@ -794,6 +882,9 @@ ui:
   # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
   # possible values are shown above (default: not set)
   strftime_fmt: "%Y/%m/%d %H:%M"
+  # Optional: Set the unit system to either "imperial" or "metric" (default: metric)
+  # Used in the UI and in MQTT topics
+  unit_system: metric
 
 # Optional: Telemetry configuration
 telemetry:
@@ -807,15 +898,17 @@ telemetry:
     - lo
   # Optional: Configure system stats
   stats:
-    # Enable AMD GPU stats (default: shown below)
+    # Optional: Enable AMD GPU stats (default: shown below)
     amd_gpu_stats: True
-    # Enable Intel GPU stats (default: shown below)
+    # Optional: Enable Intel GPU stats (default: shown below)
     intel_gpu_stats: True
-    # Enable network bandwidth stats monitoring for camera ffmpeg processes, go2rtc, and object detectors. (default: shown below)
+    # Optional: Treat GPU as SR-IOV to fix GPU stats (default: shown below)
+    intel_gpu_device: None
+    # Optional: Enable network bandwidth stats monitoring for camera ffmpeg processes, go2rtc, and object detectors. (default: shown below)
     # NOTE: The container must either be privileged or have cap_net_admin, cap_net_raw capabilities enabled.
     network_bandwidth: False
   # Optional: Enable the latest version outbound check (default: shown below)
-  # NOTE: If you use the HomeAssistant integration, disabling this will prevent it from reporting new versions
+  # NOTE: If you use the Home Assistant integration, disabling this will prevent it from reporting new versions
   version_check: True
 
 # Optional: Camera groups (default: no groups are setup)
diff --git a/docs/docs/configuration/restream.md b/docs/docs/configuration/restream.md
index 0db4ded80..4564595cc 100644
--- a/docs/docs/configuration/restream.md
+++ b/docs/docs/configuration/restream.md
@@ -7,7 +7,7 @@ title: Restream
 
 Frigate can restream your video feed as an RTSP feed for other applications such as Home Assistant to utilize it at `rtsp://<frigate_host>:8554/<camera_name>`. Port 8554 must be open. [This allows you to use a video feed for detection in Frigate and Home Assistant live view at the same time without having to make two separate connections to the camera](#reduce-connections-to-camera). The video feed is copied from the original video feed directly to avoid re-encoding. This feed does not include any annotation by Frigate.
 
-Frigate uses [go2rtc](https://github.com/AlexxIT/go2rtc/tree/v1.9.2) to provide its restream and MSE/WebRTC capabilities. The go2rtc config is hosted at the `go2rtc` in the config, see [go2rtc docs](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#configuration) for more advanced configurations and features.
+Frigate uses [go2rtc](https://github.com/AlexxIT/go2rtc/tree/v1.9.9) to provide its restream and MSE/WebRTC capabilities. The go2rtc config is hosted at the `go2rtc` in the config, see [go2rtc docs](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#configuration) for more advanced configurations and features.
 
 :::note
 
@@ -134,7 +134,7 @@ cameras:
 
 ## Handling Complex Passwords
 
-go2rtc expects URL-encoded passwords in the config, [urlencoder.org](https://urlencoder.org) can be used for this purpose. 
+go2rtc expects URL-encoded passwords in the config, [urlencoder.org](https://urlencoder.org) can be used for this purpose.
 
 For example:
 
@@ -152,11 +152,11 @@ go2rtc:
     my_camera: rtsp://username:$%40foo%25@192.168.1.100
 ```
 
-See [this comment(https://github.com/AlexxIT/go2rtc/issues/1217#issuecomment-2242296489) for more information.
+See [this comment](https://github.com/AlexxIT/go2rtc/issues/1217#issuecomment-2242296489) for more information.
 
 ## Advanced Restream Configurations
 
-The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#source-exec) source in go2rtc can be used for custom ffmpeg commands. An example is below:
+The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#source-exec) source in go2rtc can be used for custom ffmpeg commands. An example is below:
 
 NOTE: The output will need to be passed with two curly braces `{{output}}`
 
diff --git a/docs/docs/configuration/semantic_search.md b/docs/docs/configuration/semantic_search.md
index ab3937c53..d9fcb5006 100644
--- a/docs/docs/configuration/semantic_search.md
+++ b/docs/docs/configuration/semantic_search.md
@@ -1,11 +1,11 @@
 ---
 id: semantic_search
-title: Using Semantic Search
+title: Semantic Search
 ---
 
 Semantic Search in Frigate allows you to find tracked objects within your review items using either the image itself, a user-defined text description, or an automatically generated one. This feature works by creating _embeddings_ — numerical vector representations — for both the images and text descriptions of your tracked objects. By comparing these embeddings, Frigate assesses their similarities to deliver relevant search results.
 
-Frigate uses [Jina AI's CLIP model](https://huggingface.co/jinaai/jina-clip-v1) to create and save embeddings to Frigate's database. All of this runs locally.
+Frigate uses models from [Jina AI](https://huggingface.co/jinaai) to create and save embeddings to Frigate's database. All of this runs locally.
 
 Semantic Search is accessed via the _Explore_ view in the Frigate UI.
 
@@ -19,7 +19,7 @@ For best performance, 16GB or more of RAM and a dedicated GPU are recommended.
 
 ## Configuration
 
-Semantic Search is disabled by default, and must be enabled in your config file or in the UI's Settings page before it can be used. Semantic Search is a global configuration setting.
+Semantic Search is disabled by default, and must be enabled in your config file or in the UI's Enrichments Settings page before it can be used. Semantic Search is a global configuration setting.
 
 ```yaml
 semantic_search:
@@ -29,29 +29,53 @@ semantic_search:
 
 :::tip
 
-The embeddings database can be re-indexed from the existing tracked objects in your database by adding `reindex: True` to your `semantic_search` configuration or by toggling the switch on the Search Settings page in the UI and restarting Frigate. Depending on the number of tracked objects you have, it can take a long while to complete and may max out your CPU while indexing. Make sure to turn the UI's switch off or set the config back to `False` before restarting Frigate again.
+The embeddings database can be re-indexed from the existing tracked objects in your database by pressing the "Reindex" button in the Enrichments Settings in the UI or by adding `reindex: True` to your `semantic_search` configuration and restarting Frigate. Depending on the number of tracked objects you have, it can take a long while to complete and may max out your CPU while indexing.
 
-If you are enabling Semantic Search for the first time, be advised that Frigate does not automatically index older tracked objects. You will need to enable the `reindex` feature in order to do that.
+If you are enabling Semantic Search for the first time, be advised that Frigate does not automatically index older tracked objects. You will need to reindex as described above.
 
 :::
 
-### Jina AI CLIP
+### Jina AI CLIP (version 1)
 
-The vision model is able to embed both images and text into the same vector space, which allows `image -> image` and `text -> image` similarity searches. Frigate uses this model on tracked objects to encode the thumbnail image and store it in the database. When searching for tracked objects via text in the search box, Frigate will perform a `text -> image` similarity search against this embedding. When clicking "Find Similar" in the tracked object detail pane, Frigate will perform an `image -> image` similarity search to retrieve the closest matching thumbnails.
+The [V1 model from Jina](https://huggingface.co/jinaai/jina-clip-v1) has a vision model which is able to embed both images and text into the same vector space, which allows `image -> image` and `text -> image` similarity searches. Frigate uses this model on tracked objects to encode the thumbnail image and store it in the database. When searching for tracked objects via text in the search box, Frigate will perform a `text -> image` similarity search against this embedding. When clicking "Find Similar" in the tracked object detail pane, Frigate will perform an `image -> image` similarity search to retrieve the closest matching thumbnails.
 
-The text model is used to embed tracked object descriptions and perform searches against them. Descriptions can be created, viewed, and modified on the Explore page when clicking on thumbnail of a tracked object. See [the Generative AI docs](/configuration/genai.md) for more information on how to automatically generate tracked object descriptions.
+The V1 text model is used to embed tracked object descriptions and perform searches against them. Descriptions can be created, viewed, and modified on the Explore page when clicking on thumbnail of a tracked object. See [the Generative AI docs](/configuration/genai.md) for more information on how to automatically generate tracked object descriptions.
 
-Differently weighted versions of the Jina model are available and can be selected by setting the `model_size` config option as `small` or `large`:
+Differently weighted versions of the Jina models are available and can be selected by setting the `model_size` config option as `small` or `large`:
 
 ```yaml
 semantic_search:
   enabled: True
+  model: "jinav1"
   model_size: small
 ```
 
 - Configuring the `large` model employs the full Jina model and will automatically run on the GPU if applicable.
 - Configuring the `small` model employs a quantized version of the Jina model that uses less RAM and runs on CPU with a very negligible difference in embedding quality.
 
+### Jina AI CLIP (version 2)
+
+Frigate also supports the [V2 model from Jina](https://huggingface.co/jinaai/jina-clip-v2), which introduces multilingual support (89 languages). In contrast, the V1 model only supports English.
+
+V2 offers only a 3% performance improvement over V1 in both text-image and text-text retrieval tasks, an upgrade that is unlikely to yield noticeable real-world benefits. Additionally, V2 has _significantly_ higher RAM and GPU requirements, leading to increased inference time and memory usage. If you plan to use V2, ensure your system has ample RAM and a discrete GPU. CPU inference (with the `small` model) using V2 is not recommended.
+
+To use the V2 model, update the `model` parameter in your config:
+
+```yaml
+semantic_search:
+  enabled: True
+  model: "jinav2"
+  model_size: large
+```
+
+For most users, especially native English speakers, the V1 model remains the recommended choice.
+
+:::note
+
+Switching between V1 and V2 requires reindexing your embeddings. The embeddings from V1 and V2 are incompatible, and failing to reindex will result in incorrect search results.
+
+:::
+
 ### GPU Acceleration
 
 The CLIP models are downloaded in ONNX format, and the `large` model can be accelerated using GPU hardware, when available. This depends on the Docker build that is used.
@@ -66,19 +90,7 @@ semantic_search:
 
 If the correct build is used for your GPU and the `large` model is configured, then the GPU will be detected and used automatically.
 
-**NOTE:** Object detection and Semantic Search are independent features. If you want to use your GPU with Semantic Search, you must choose the appropriate Frigate Docker image for your GPU.
-
-- **AMD**
-
-  - ROCm will automatically be detected and used for Semantic Search in the `-rocm` Frigate image.
-
-- **Intel**
-
-  - OpenVINO will automatically be detected and used for Semantic Search in the default Frigate image.
-
-- **Nvidia**
-  - Nvidia GPUs will automatically be detected and used for Semantic Search in the `-tensorrt` Frigate image.
-  - Jetson devices will automatically be detected and used for Semantic Search in the `-tensorrt-jp(4/5)` Frigate image.
+See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation.
 
 :::
 
diff --git a/docs/docs/configuration/snapshots.md b/docs/docs/configuration/snapshots.md
index e6c260913..815e301ba 100644
--- a/docs/docs/configuration/snapshots.md
+++ b/docs/docs/configuration/snapshots.md
@@ -5,7 +5,7 @@ title: Snapshots
 
 Frigate can save a snapshot image to `/media/frigate/clips` for each object that is detected named as `<camera>-<id>.jpg`. They are also accessible [via the api](../integrations/api/event-snapshot-events-event-id-snapshot-jpg-get.api.mdx)
 
-For users with Frigate+ enabled, snapshots are accessible in the UI in the Frigate+ pane to allow for quick submission to the Frigate+ service.
+Snapshots are accessible in the UI in the Explore pane. This allows for quick submission to the Frigate+ service.
 
 To only save snapshots for objects that enter a specific zone, [see the zone docs](./zones.md#restricting-snapshots-to-specific-zones)
 
diff --git a/docs/docs/configuration/zones.md b/docs/docs/configuration/zones.md
index aef6b0a5b..d2a1083e6 100644
--- a/docs/docs/configuration/zones.md
+++ b/docs/docs/configuration/zones.md
@@ -84,7 +84,13 @@ Only car objects can trigger the `front_yard_street` zone and only person can tr
 
 ### Zone Loitering
 
-Sometimes objects are expected to be passing through a zone, but an object loitering in an area is unexpected. Zones can be configured to have a minimum loitering time before the object will be considered in the zone.
+Sometimes objects are expected to be passing through a zone, but an object loitering in an area is unexpected. Zones can be configured to have a minimum loitering time after which the object will be considered in the zone.
+
+:::note
+
+When using loitering zones, a review item will remain active until the object leaves. Loitering zones are only meant to be used in areas where loitering is not expected behavior.
+
+:::
 
 ```yaml
 cameras:
@@ -122,16 +128,62 @@ cameras:
           - car
 ```
 
-### Loitering Time
+### Speed Estimation
 
-Zones support a `loitering_time` configuration which can be used to only consider an object as part of a zone if they loiter in the zone for the specified number of seconds. This can be used, for example, to create alerts for cars that stop on the street but not cars that just drive past your camera.
+Frigate can be configured to estimate the speed of objects moving through a zone. This works by combining data from Frigate's object tracker and "real world" distance measurements of the edges of the zone. The recommended use case for this feature is to track the speed of vehicles on a road as they move through the zone.
+
+Your zone must be defined with exactly 4 points and should be aligned to the ground where objects are moving.
+
+![Ground plane 4-point zone](/img/ground-plane.jpg)
+
+Speed estimation requires a minimum number of frames for your object to be tracked before a valid estimate can be calculated, so create your zone away from places where objects enter and exit for the best results. The object's bounding box must be stable and remain a constant size as it enters and exits the zone. _Your zone should not take up the full frame, and the zone does **not** need to be the same size or larger than the objects passing through it._ An object's speed is tracked while it passes through the zone and then saved to Frigate's database.
+
+Accurate real-world distance measurements are required to estimate speeds. These distances can be specified in your zone config through the `distances` field.
 
 ```yaml
 cameras:
   name_of_your_camera:
     zones:
-      front_yard:
-        loitering_time: 5 # unit is in seconds
-        objects:
-          - person
+      street:
+        coordinates: 0.033,0.306,0.324,0.138,0.439,0.185,0.042,0.428
+        distances: 10,12,11,13.5 # in meters or feet
+```
+
+Each number in the `distance` field represents the real-world distance between the points in the `coordinates` list. So in the example above, the distance between the first two points ([0.033,0.306] and [0.324,0.138]) is 10. The distance between the second and third set of points ([0.324,0.138] and [0.439,0.185]) is 12, and so on. The fastest and most accurate way to configure this is through the Zone Editor in the Frigate UI.
+
+The `distance` values are measured in meters (metric) or feet (imperial), depending on how `unit_system` is configured in your `ui` config:
+
+```yaml
+ui:
+  # can be "metric" or "imperial", default is metric
+  unit_system: metric
+```
+
+The average speed of your object as it moved through your zone is saved in Frigate's database and can be seen in the UI in the Tracked Object Details pane in Explore. Current estimated speed can also be seen on the debug view as the third value in the object label (see the caveats below). Current estimated speed, average estimated speed, and velocity angle (the angle of the direction the object is moving relative to the frame) of tracked objects is also sent through the `events` MQTT topic. See the [MQTT docs](../integrations/mqtt.md#frigateevents).
+
+These speed values are output as a number in miles per hour (mph) or kilometers per hour (kph). For miles per hour, set `unit_system` to `imperial`. For kilometers per hour, set `unit_system` to `metric`.
+
+#### Best practices and caveats
+
+- Speed estimation works best with a straight road or path when your object travels in a straight line across that path. Avoid creating your zone near intersections or anywhere that objects would make a turn.
+- Create a zone where the bottom center of your object's bounding box travels directly through it and does not become obscured at any time.
+- A large zone can be used (as in the photo example above), but it may cause inaccurate estimation if the object's bounding box changes shape (such as when it turns or becomes partially hidden). Generally it's best to make your zone large enough to capture a few frames, but small enough so that the bounding box doesn't change size as it enters, travels through, and exits the zone.
+- Depending on the size and location of your zone, you may want to decrease the zone's `inertia` value from the default of 3.
+- The more accurate your real-world dimensions can be measured, the more accurate speed estimation will be. However, due to the way Frigate's tracking algorithm works, you may need to tweak the real-world distance values so that estimated speeds better match real-world speeds.
+- Once an object leaves the zone, speed accuracy will likely decrease due to perspective distortion and misalignment with the calibrated area. Therefore, speed values will show as a zero through MQTT and will not be visible on the debug view when an object is outside of a speed tracking zone.
+- The speeds are only an _estimation_ and are highly dependent on camera position, zone points, and real-world measurements. This feature should not be used for law enforcement.
+
+### Speed Threshold
+
+Zones can be configured with a minimum speed requirement, meaning an object must be moving at or above this speed to be considered inside the zone. Zone `distances` must be defined as described above.
+
+```yaml
+cameras:
+  name_of_your_camera:
+    zones:
+      sidewalk:
+        coordinates: ...
+        distances: ...
+        inertia: 1
+        speed_threshold: 20 # unit is in kph or mph, depending on how unit_system is set (see above)
 ```
diff --git a/docs/docs/development/contributing-boards.md b/docs/docs/development/contributing-boards.md
index 49a65722d..930c99dec 100644
--- a/docs/docs/development/contributing-boards.md
+++ b/docs/docs/development/contributing-boards.md
@@ -72,17 +72,17 @@ COPY --from=rootfs / /
 The images for each board will be built for each Frigate release, this is done in the `.github/workflows/ci.yml` file. The board build workflow will need to be added here.
 
 ```yml
-      - name: Build and push board build
-        uses: docker/bake-action@v3
-        with:
-          push: true
-          targets: board # this is the target in the board.hcl file
-          files: docker/board/board.hcl # this should be updated with the actual board type
-          # the tags should be updated with the actual board types as well
-          # the community board builds should never push to cache, but it can pull from cache
-          set: |
-            board.tags=ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}-board
-            *.cache-from=type=gha
+- name: Build and push board build
+  uses: docker/bake-action@v3
+  with:
+    push: true
+    targets: board # this is the target in the board.hcl file
+    files: docker/board/board.hcl # this should be updated with the actual board type
+    # the tags should be updated with the actual board types as well
+    # the community board builds should never push to cache, but it can pull from cache
+    set: |
+      board.tags=ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}-board
+      *.cache-from=type=gha
 ```
 
 ### Code Owner File
@@ -91,4 +91,4 @@ The `CODEOWNERS` file should be updated to include the `docker/board` along with
 
 # Docs
 
-At a minimum the `installation`, `object_detectors`, `hardware_acceleration`, and `ffmpeg-presets` docs should be updated (if applicable) to reflect the configuration of this community board.
+At a minimum the `installation`, `object_detectors`, `hardware_acceleration_video`, and `ffmpeg-presets` docs should be updated (if applicable) to reflect the configuration of this community board.
diff --git a/docs/docs/development/contributing.md b/docs/docs/development/contributing.md
index 32fc13e1f..a123f70b8 100644
--- a/docs/docs/development/contributing.md
+++ b/docs/docs/development/contributing.md
@@ -17,15 +17,15 @@ From here, follow the guides for:
 - [Web Interface](#web-interface)
 - [Documentation](#documentation)
 
-### Frigate Home Assistant Addon
+### Frigate Home Assistant Add-on
 
-This repository holds the Home Assistant Addon, for use with Home Assistant OS and compatible installations. It is the piece that allows you to run Frigate from your Home Assistant Supervisor tab.
+This repository holds the Home Assistant Add-on, for use with Home Assistant OS and compatible installations. It is the piece that allows you to run Frigate from your Home Assistant Supervisor tab.
 
 Fork [blakeblackshear/frigate-hass-addons](https://github.com/blakeblackshear/frigate-hass-addons) to your own Github profile, then clone the forked repo to your local machine.
 
 ### Frigate Home Assistant Integration
 
-This repository holds the custom integration that allows your Home Assistant installation to automatically create entities for your Frigate instance, whether you run that with the [addon](#frigate-home-assistant-addon) or in a separate Docker instance.
+This repository holds the custom integration that allows your Home Assistant installation to automatically create entities for your Frigate instance, whether you are running Frigate as a standalone Docker container or as a [Home Assistant Add-on](#frigate-home-assistant-add-on).
 
 Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshear/frigate-hass-integration) to your own GitHub profile, then clone the forked repo to your local machine.
 
@@ -34,7 +34,7 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
 ### Prerequisites
 
 - GNU make
-- Docker
+- Docker (including buildx plugin)
 - An extra detector (Coral, OpenVINO, etc.) is optional but recommended to simulate real world performance.
 
 :::note
@@ -77,14 +77,15 @@ Create and place these files in a `debug` folder in the root of the repo. This i
 
 #### 4. Run Frigate from the command line
 
-VSCode will start the docker compose file for you and open a terminal window connected to `frigate-dev`.
+VS Code will start the Docker Compose file for you and open a terminal window connected to `frigate-dev`.
 
+- Depending on what hardware you're developing on, you may need to amend `docker-compose.yml` in the project root to pass through a USB Coral or GPU for hardware acceleration.
 - Run `python3 -m frigate` to start the backend.
 - In a separate terminal window inside VS Code, change into the `web` directory and run `npm install && npm run dev` to start the frontend.
 
 #### 5. Teardown
 
-After closing VSCode, you may still have containers running. To close everything down, just run `docker-compose down -v` to cleanup all containers.
+After closing VS Code, you may still have containers running. To close everything down, just run `docker-compose down -v` to cleanup all containers.
 
 ### Testing
 
@@ -235,3 +236,11 @@ When testing nginx config changes from within the dev container, the following c
 ```console
 sudo cp docker/main/rootfs/usr/local/nginx/conf/* /usr/local/nginx/conf/ && sudo /usr/local/nginx/sbin/nginx -s reload
 ```
+
+## Contributing translations of the Web UI
+
+Frigate uses [Weblate](https://weblate.org) to manage translations of the Web UI. To contribute translation, sign up for an account at Weblate and navigate to the Frigate NVR project:
+
+https://hosted.weblate.org/projects/frigate-nvr/
+
+When translating, maintain the existing key structure while translating only the values. Ensure your translations maintain proper formatting, including any placeholder variables (like `{{example}}`).
diff --git a/docs/docs/frigate/camera_setup.md b/docs/docs/frigate/camera_setup.md
index 21e67ae0d..06d7d3b4a 100644
--- a/docs/docs/frigate/camera_setup.md
+++ b/docs/docs/frigate/camera_setup.md
@@ -28,7 +28,7 @@ For the Dahua/Loryta 5442 camera, I use the following settings:
 - Encode Mode: H.264
 - Resolution: 2688\*1520
 - Frame Rate(FPS): 15
-- I Frame Interval: 30 (15 can also be used to prioritize streaming performance - see the [camera settings recommendations](../configuration/live) for more info)
+- I Frame Interval: 30 (15 can also be used to prioritize streaming performance - see the [camera settings recommendations](/configuration/live#camera_settings_recommendations) for more info)
 
 **Sub Stream (Detection)**
 
diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md
index 76cd78802..8a9454e2c 100644
--- a/docs/docs/frigate/hardware.md
+++ b/docs/docs/frigate/hardware.md
@@ -42,81 +42,151 @@ If the EQ13 is out of stock, the link below may take you to a suggested alternat
 
 ## Detectors
 
-A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance.
+A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically.
+
+:::info
+
+Frigate supports multiple different detectors that work on different types of hardware:
+
+**Most Hardware**
+
+- [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices offering a wide range of compatibility with devices.
+
+  - [Supports many model architectures](../../configuration/object_detectors#configuration)
+  - Runs best with tiny or small size models
+
+- [Google Coral EdgeTPU](#google-coral-tpu): The Google Coral EdgeTPU is available in USB and m.2 format allowing for a wide range of compatibility with devices.
+  - [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#edge-tpu-detector)
+
+**AMD**
+
+- [ROCm](#rocm---amd-gpu): ROCm can run on AMD Discrete GPUs to provide efficient object detection
+  - [Supports limited model architectures](../../configuration/object_detectors#supported-models-1)
+  - Runs best on discrete AMD GPUs
+
+**Intel**
+
+- [OpenVino](#openvino---intel): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection.
+  - [Supports majority of model architectures](../../configuration/object_detectors#supported-models)
+  - Runs best with tiny, small, or medium models
+
+**Nvidia**
+
+- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs and Jetson devices.
+  - [Supports majority of model architectures via ONNX](../../configuration/object_detectors#supported-models-2)
+  - Runs well with any size models including large
+
+**Rockchip**
+
+- [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs to provide efficient object detection.
+  - [Supports limited model architectures](../../configuration/object_detectors#choosing-a-model)
+  - Runs best with tiny or small size models
+  - Runs efficiently on low power hardware
+
+:::
+
+### Hailo-8
+
+Frigate supports both the Hailo-8 and Hailo-8L AI Acceleration Modules on compatible hardware platforms—including the Raspberry Pi 5 with the PCIe hat from the AI kit. The Hailo detector integration in Frigate automatically identifies your hardware type and selects the appropriate default model when a custom model isn’t provided.
+
+**Default Model Configuration:**
+
+- **Hailo-8L:** Default model is **YOLOv6n**.
+- **Hailo-8:** Default model is **YOLOv6n**.
+
+In real-world deployments, even with multiple cameras running concurrently, Frigate has demonstrated consistent performance. Testing on x86 platforms—with dual PCIe lanes—yields further improvements in FPS, throughput, and latency compared to the Raspberry Pi setup.
+
+| Name             | Hailo‑8 Inference Time | Hailo‑8L Inference Time |
+| ---------------- | ---------------------- | ----------------------- |
+| ssd mobilenet v1 | ~ 6 ms                 | ~ 10 ms                 |
+| yolov6n          | ~ 7 ms                 | ~ 11 ms                 |
 
 ### Google Coral TPU
 
-It is strongly recommended to use a Google Coral. A $60 device will outperform $2000 CPU. Frigate should work with any supported Coral device from https://coral.ai
+Frigate supports both the USB and M.2 versions of the Google Coral.
 
-The USB version is compatible with the widest variety of hardware and does not require a driver on the host machine. However, it does lack the automatic throttling features of the other versions.
-
-The PCIe and M.2 versions require installation of a driver on the host. Follow the instructions for your version from https://coral.ai
+- The USB version is compatible with the widest variety of hardware and does not require a driver on the host machine. However, it does lack the automatic throttling features of the other versions.
+- The PCIe and M.2 versions require installation of a driver on the host. Follow the instructions for your version from https://coral.ai
 
 A single Coral can handle many cameras using the default model and will be sufficient for the majority of users. You can calculate the maximum performance of your Coral based on the inference speed reported by Frigate. With an inference speed of 10, your Coral will top out at `1000/10=100`, or 100 frames per second. If your detection fps is regularly getting close to that, you should first consider tuning motion masks. If those are already properly configured, a second Coral may be needed.
 
-### OpenVINO
+### OpenVINO - Intel
 
 The OpenVINO detector type is able to run on:
 
 - 6th Gen Intel Platforms and newer that have an iGPU
-- x86 & Arm64 hosts with VPU Hardware (ex: Intel NCS2)
+- x86 hosts with an Intel Arc GPU
 - Most modern AMD CPUs (though this is officially not supported by Intel)
+- x86 & Arm64 hosts via CPU (generally not recommended)
+
+:::note
+
+Intel NPUs have seen [limited success in community deployments](https://github.com/blakeblackshear/frigate/discussions/13248#discussioncomment-12347357), although they remain officially unsupported.
+
+In testing, the NPU delivered performance that was only comparable to — or in some cases worse than — the integrated GPU.
+
+:::
 
 More information is available [in the detector docs](/configuration/object_detectors#openvino-detector)
 
 Inference speeds vary greatly depending on the CPU or GPU used, some known examples of GPU inference times are below:
 
-| Name                  | MobileNetV2 Inference Time  | YOLO-NAS Inference Time     | Notes                                   |
-| --------------------- | --------------------------- | --------------------------- | --------------------------------------- |
-| Intel Arc A750        | ~ 4 ms                      | 320: ~ 8 ms                 |                                         |
-| Intel Arc A380        | ~ 6 ms                      | 320: ~ 10 ms                |                                         |
-| Intel Ultra 5 125H    |                             | 320: ~ 10 ms 640: ~ 22 ms   |                                         |
-| Intel i5 12600K       | ~ 15 ms                     | 320: ~ 20 ms 640: ~ 46 ms   |                                         |
-| Intel i3 12000        |                             | 320: ~ 19 ms 640: ~ 54 ms   |                                         |
-| Intel i5 1135G7       | 10 - 15 ms                  |                             |                                         |
-| Intel i5 7500         | ~ 15 ms                     |                             |                                         |
-| Intel i5 7200u        | 15 - 25 ms                  |                             |                                         |
-| Intel i5 6500         | ~ 15 ms                     |                             |                                         |
-| Intel i5 4590         | ~ 20 ms                     |                             |                                         |
-| Intel i3 8100         | ~ 15 ms                     |                             |                                         |
-| Intel i3 6100T        | 15 - 35 ms                  |                             | Can only run one detector instance      |
-| Intel Celeron N4020   | 50 - 200 ms                 |                             | Inference speed depends on other loads  |
-| Intel Celeron N3205U  | ~ 120 ms                    |                             | Can only run one detector instance      |
-| Intel Celeron N3060   | 130 - 150 ms                |                             | Can only run one detector instance      |
-| Intel Celeron J4105   | ~ 25 ms                     |                             | Can only run one                        |
+| Name           | MobileNetV2 Inference Time | YOLO-NAS Inference Time   | RF-DETR Inference Time | Notes                              |
+| -------------- | -------------------------- | ------------------------- | ---------------------- | ---------------------------------- |
+| Intel HD 530   | 15 - 35 ms                 |                           |                        | Can only run one detector instance |
+| Intel HD 620   | 15 - 25 ms                 | 320: ~ 35 ms              |                        |                                    |
+| Intel HD 630   | ~ 15 ms                    | 320: ~ 30 ms              |                        |                                    |
+| Intel UHD 730  | ~ 10 ms                    | 320: ~ 19 ms 640: ~ 54 ms |                        |                                    |
+| Intel UHD 770  | ~ 15 ms                    | 320: ~ 20 ms 640: ~ 46 ms |                        |                                    |
+| Intel N100     | ~ 15 ms                    | 320: ~ 25 ms              |                        | Can only run one detector instance |
+| Intel Iris XE  | ~ 10 ms                    | 320: ~ 18 ms 640: ~ 50 ms |                        |                                    |
+| Intel Arc A380 | ~ 6 ms                     | 320: ~ 10 ms 640: ~ 22 ms | 336: 20 ms 448: 27 ms  |                                    |
+| Intel Arc A750 | ~ 4 ms                     | 320: ~ 8 ms               |                        |                                    |
 
 ### TensorRT - Nvidia GPU
 
-The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which supports the 12.x series of CUDA libraries. The minimum driver version on the host system must be `>=525.60.13`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the [TensorRT docs for more info](/configuration/object_detectors#nvidia-tensorrt-detector).
+Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA libraries.
+
+#### Minimum Hardware Support
+
+ 12.x series of CUDA libraries are used which have minor version compatibility. The minimum driver version on the host system must be `>=545`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
+
+Make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
+
+There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
+
+#### Compatibility References:
+
+[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
+
+[NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
+
+[NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
 
 Inference speeds will vary greatly depending on the GPU and the model used.
 `tiny` variants are faster than the equivalent non-tiny model, some known examples are below:
 
-| Name            | YoloV7 Inference Time  | YOLO-NAS Inference Time     |
-| --------------- | ---------------------- | --------------------------- |
-| Quadro P2000    | ~ 12 ms                |                             |
-| Quadro P400 2GB | 20 - 25 ms             |                             |
-| RTX 3070 Mobile | ~ 5 ms                 |                             |
-| RTX 3050        | 5 - 7 ms               | 320: ~ 10 ms 640: ~ 16 ms   |
-| GTX 1660 SUPER  | ~ 4 ms                 |                             |
-| GTX 1070        | ~ 6 ms                 |                             |
-| GTX 1060 6GB    | ~ 7 ms                 |                             |
+| Name            | YOLOv9 Inference Time | YOLO-NAS Inference Time   | RF-DETR Inference Time |
+| --------------- | --------------------- | ------------------------- | ---------------------- |
+| RTX 3050        | t-320: 15 ms          | 320: ~ 10 ms 640: ~ 16 ms | Nano-320: ~ 12 ms      |
+| RTX 3070        | t-320: 11 ms          | 320: ~ 8 ms 640: ~ 14 ms  | Nano-320: ~ 9 ms       |
+| RTX A4000       |                       | 320: ~ 15 ms              |                        |
+| Tesla P40       |                       | 320: ~ 105 ms             |                        |
 
-### AMD GPUs
+### ROCm - AMD GPU
 
 With the [rocm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.
 
-### Hailo-8l PCIe
-
-Frigate supports the Hailo-8l M.2 card on any hardware but currently it is only tested on the Raspberry Pi5 PCIe hat from the AI kit.
-
-The inference time for the Hailo-8L chip at time of writing is around 17-21 ms for the SSD MobileNet Version 1 model.
+| Name      | YOLOv9 Inference Time | YOLO-NAS Inference Time   |
+| --------- | --------------------- | ------------------------- |
+| AMD 780M  | ~ 14 ms               | 320: ~ 25 ms 640: ~ 50 ms |
+| AMD 8700G |                       | 320: ~ 20 ms 640: ~ 40 ms |
 
 ## Community Supported Detectors
 
 ### Nvidia Jetson
 
-Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will [make use of the Jetson's hardware media engine](/configuration/hardware_acceleration#nvidia-jetson-orin-agx-orin-nx-orin-nano-xavier-agx-xavier-nx-tx2-tx1-nano) when configured with the [appropriate presets](/configuration/ffmpeg_presets#hwaccel-presets), and will make use of the Jetson's GPU and DLA for object detection when configured with the [TensorRT detector](/configuration/object_detectors#nvidia-tensorrt-detector).
+Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will [make use of the Jetson's hardware media engine](/configuration/hardware_acceleration_video#nvidia-jetson-orin-agx-orin-nx-orin-nano-xavier-agx-xavier-nx-tx2-tx1-nano) when configured with the [appropriate presets](/configuration/ffmpeg_presets#hwaccel-presets), and will make use of the Jetson's GPU and DLA for object detection when configured with the [TensorRT detector](/configuration/object_detectors#nvidia-tensorrt-detector).
 
 Inference speed will vary depending on the YOLO model, jetson platform and jetson nvpmodel (GPU/DLA/EMC clock speed). It is typically 20-40 ms for most models. The DLA is more efficient than the GPU, but not faster, so using the DLA will reduce power consumption but will slightly increase inference time.
 
@@ -130,6 +200,11 @@ Frigate supports hardware video processing on all Rockchip boards. However, hard
 - RK3576
 - RK3588
 
+| Name           | YOLOv9 Inference Time | YOLO-NAS Inference Time     | YOLOx Inference Time    |
+| -------------- | --------------------- | --------------------------- | ----------------------- |
+| rk3588 3 cores | tiny: ~ 35 ms         | small: ~ 20 ms med: ~ 30 ms | nano: 14 ms tiny: 18 ms |
+| rk3566 1 core  |                       | small: ~ 96 ms              |                         |
+
 The inference time of a rk3588 with all 3 cores enabled is typically 25-30 ms for yolo-nas s.
 
 ## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
diff --git a/docs/docs/frigate/index.md b/docs/docs/frigate/index.md
index 73b3305e7..83162022c 100644
--- a/docs/docs/frigate/index.md
+++ b/docs/docs/frigate/index.md
@@ -6,7 +6,7 @@ slug: /
 
 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
 
-Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but strongly recommended. CPU detection should only be used for testing purposes. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
+Use of a [Recommended Detector](/frigate/hardware#detectors) is optional, but strongly recommended. CPU detection should only be used for testing purposes.
 
 - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
 - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
diff --git a/docs/docs/frigate/installation.md b/docs/docs/frigate/installation.md
index 917913528..c94daba45 100644
--- a/docs/docs/frigate/installation.md
+++ b/docs/docs/frigate/installation.md
@@ -3,11 +3,11 @@ id: installation
 title: Installation
 ---
 
-Frigate is a Docker container that can be run on any Docker host including as a [HassOS Addon](https://www.home-assistant.io/addons/). Note that a Home Assistant Addon is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant.
+Frigate is a Docker container that can be run on any Docker host including as a [Home Assistant Add-on](https://www.home-assistant.io/addons/). Note that the Home Assistant Add-on is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant, whether you are running Frigate as a standalone Docker container or as a Home Assistant Add-on.
 
 :::tip
 
-If you already have Frigate installed as a Home Assistant addon, check out the [getting started guide](../guides/getting_started#configuring-frigate) to configure Frigate.
+If you already have Frigate installed as a Home Assistant Add-on, check out the [getting started guide](../guides/getting_started#configuring-frigate) to configure Frigate.
 
 :::
 
@@ -45,7 +45,7 @@ The following ports are used by Frigate and can be mapped via docker as required
 | `8554` | RTSP restreaming. By default, these streams are unauthenticated. Authentication can be configured in go2rtc section of config.                                             |
 | `8555` | WebRTC connections for low latency live views.                                                                                                                             |
 
-#### Common docker compose storage configurations
+#### Common Docker Compose storage configurations
 
 Writing to a local disk or external USB drive:
 
@@ -73,19 +73,19 @@ Users of the Snapcraft build of Docker cannot use storage locations outside your
 
 Frigate utilizes shared memory to store frames during processing. The default `shm-size` provided by Docker is **64MB**.
 
-The default shm size of **128MB** is fine for setups with **2 cameras** detecting at **720p**. If Frigate is exiting with "Bus error" messages, it is likely because you have too many high resolution cameras and you need to specify a higher shm size, using [`--shm-size`](https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources) (or [`service.shm_size`](https://docs.docker.com/compose/compose-file/compose-file-v2/#shm_size) in docker-compose).
+The default shm size of **128MB** is fine for setups with **2 cameras** detecting at **720p**. If Frigate is exiting with "Bus error" messages, it is likely because you have too many high resolution cameras and you need to specify a higher shm size, using [`--shm-size`](https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources) (or [`service.shm_size`](https://docs.docker.com/compose/compose-file/compose-file-v2/#shm_size) in Docker Compose).
 
 The Frigate container also stores logs in shm, which can take up to **40MB**, so make sure to take this into account in your math as well.
 
 You can calculate the **minimum** shm size for each camera with the following formula using the resolution specified for detect:
 
 ```console
-# Replace <width> and <height>
+# Template for one camera without logs, replace <width> and <height>
 $ python -c 'print("{:.2f}MB".format((<width> * <height> * 1.5 * 20 + 270480) / 1048576))'
 
 # Example for 1280x720, including logs
-$ python -c 'print("{:.2f}MB".format((1280 * 720 * 1.5 * 20 + 270480) / 1048576)) + 40'
-46.63MB
+$ python -c 'print("{:.2f}MB".format((1280 * 720 * 1.5 * 20 + 270480) / 1048576 + 40))'
+66.63MB
 
 # Example for eight cameras detecting at 1280x720, including logs
 $ python -c 'print("{:.2f}MB".format(((1280 * 720 * 1.5 * 20 + 270480) / 1048576) * 8 + 40))'
@@ -100,9 +100,9 @@ By default, the Raspberry Pi limits the amount of memory available to the GPU. I
 
 Additionally, the USB Coral draws a considerable amount of power. If using any other USB devices such as an SSD, you will experience instability due to the Pi not providing enough power to USB devices. You will need to purchase an external USB hub with it's own power supply. Some have reported success with <a href="https://amzn.to/3a2mH0P" target="_blank" rel="nofollow noopener sponsored">this</a> (affiliate link).
 
-### Hailo-8L
+### Hailo-8
 
-The Hailo-8L is an M.2 card typically connected to a carrier board for PCIe, which then connects to the Raspberry Pi 5 as part of the AI Kit. However, it can also be used on other boards equipped with an M.2 M key edge connector.
+The Hailo-8 and Hailo-8L AI accelerators are available in both M.2 and HAT form factors for the Raspberry Pi. The M.2 version typically connects to a carrier board for PCIe, which then interfaces with the Raspberry Pi 5 as part of the AI Kit. The HAT version can be mounted directly onto compatible Raspberry Pi models. Both form factors have been successfully tested on x86 platforms as well, making them versatile options for various computing environments.
 
 #### Installation
 
@@ -117,7 +117,7 @@ For other installations, follow these steps for installation:
 
 #### Setup
 
-To set up Frigate, follow the default installation instructions, but use a Docker image with the `-h8l` suffix, for example: `ghcr.io/blakeblackshear/frigate:stable-h8l`
+To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
 
 Next, grant Docker permissions to access your hardware by adding the following lines to your `docker-compose.yml` file:
 
@@ -145,7 +145,7 @@ $ sudo cat /sys/kernel/debug/rknpu/version
 RKNPU driver: v0.9.2 # or later version
 ```
 
-I recommend [Joshua Riek's Ubuntu for Rockchip](https://github.com/Joshua-Riek/ubuntu-rockchip), if your board is supported.
+I recommend [Armbian](https://www.armbian.com/download/?arch=aarch64), if your board is supported.
 
 #### Setup
 
@@ -165,6 +165,8 @@ devices:
   - /dev/dma_heap
   - /dev/rga
   - /dev/mpp_service
+volumes:
+  - /sys/:/sys/:ro
 ```
 
 or add these options to your `docker run` command:
@@ -175,16 +177,17 @@ or add these options to your `docker run` command:
 --device /dev/dri \
 --device /dev/dma_heap \
 --device /dev/rga \
---device /dev/mpp_service
+--device /dev/mpp_service \
+--volume /sys/:/sys/:ro
 ```
 
 #### Configuration
 
-Next, you should configure [hardware object detection](/configuration/object_detectors#rockchip-platform) and [hardware video processing](/configuration/hardware_acceleration#rockchip-platform).
+Next, you should configure [hardware object detection](/configuration/object_detectors#rockchip-platform) and [hardware video processing](/configuration/hardware_acceleration_video#rockchip-platform).
 
 ## Docker
 
-Running in Docker with compose is the recommended install method.
+Running through Docker with Docker Compose is the recommended install method.
 
 ```yaml
 services:
@@ -218,7 +221,7 @@ services:
       FRIGATE_RTSP_PASSWORD: "password"
 ```
 
-If you can't use docker compose, you can run the container with something similar to this:
+If you can't use Docker Compose, you can run the container with something similar to this:
 
 ```bash
 docker run -d \
@@ -242,25 +245,23 @@ docker run -d \
 
 The official docker image tags for the current stable version are:
 
-- `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64
+- `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64. This build includes support for Hailo devices as well.
 - `stable-standard-arm64` - Standard Frigate build for arm64
 - `stable-tensorrt` - Frigate build specific for amd64 devices running an nvidia GPU
+- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector)
 
 The community supported docker image tags for the current stable version are:
 
-- `stable-tensorrt-jp5` - Frigate build optimized for nvidia Jetson devices running Jetpack 5
-- `stable-tensorrt-jp4` - Frigate build optimized for nvidia Jetson devices running Jetpack 4.6
+- `stable-tensorrt-jp6` - Frigate build optimized for nvidia Jetson devices running Jetpack 6
 - `stable-rk` - Frigate build for SBCs with Rockchip SoC
-- `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector)
-  - `stable-h8l` - Frigate build for the Hailo-8L M.2 PICe Raspberry Pi 5 hat
 
-## Home Assistant Addon
+## Home Assistant Add-on
 
 :::warning
 
-As of HomeAssistant OS 10.2 and Core 2023.6 defining separate network storage for media is supported.
+As of Home Assistant Operating System 10.2 and Home Assistant 2023.6 defining separate network storage for media is supported.
 
-There are important limitations in Home Assistant Operating System to be aware of:
+There are important limitations in HA OS to be aware of:
 
 - Separate local storage for media is not yet supported by Home Assistant
 - AMD GPUs are not supported because HA OS does not include the mesa driver.
@@ -274,24 +275,27 @@ See [the network storage guide](/guides/ha_network_storage.md) for instructions
 
 :::
 
-HassOS users can install via the addon repository.
+Home Assistant OS users can install via the Add-on repository.
 
-1. Navigate to Supervisor > Add-on Store > Repositories
-2. Add https://github.com/blakeblackshear/frigate-hass-addons
-3. Install your desired Frigate NVR Addon and navigate to it's page
+1. In Home Assistant, navigate to _Settings_ > _Add-ons_ > _Add-on Store_ > _Repositories_
+2. Add `https://github.com/blakeblackshear/frigate-hass-addons`
+3. Install the desired variant of the Frigate Add-on (see below)
 4. Setup your network configuration in the `Configuration` tab
-5. (not for proxy addon) Create the file `frigate.yaml` in your `config` directory with your detailed Frigate configuration
-6. Start the addon container
-7. (not for proxy addon) If you are using hardware acceleration for ffmpeg, you may need to disable "Protection mode"
+5. Start the Add-on
+6. Use the _Open Web UI_ button to access the Frigate UI, then click in the _cog icon_ > _Configuration editor_ and configure Frigate to your liking
 
-There are several versions of the addon available:
+There are several variants of the Add-on available:
 
-| Addon Version                  | Description                                                |
-| ------------------------------ | ---------------------------------------------------------- |
-| Frigate NVR                    | Current release with protection mode on                    |
-| Frigate NVR (Full Access)      | Current release with the option to disable protection mode |
-| Frigate NVR Beta               | Beta release with protection mode on                       |
-| Frigate NVR Beta (Full Access) | Beta release with the option to disable protection mode    |
+| Add-on Variant             | Description                                                |
+| -------------------------- | ---------------------------------------------------------- |
+| Frigate                    | Current release with protection mode on                    |
+| Frigate (Full Access)      | Current release with the option to disable protection mode |
+| Frigate Beta               | Beta release with protection mode on                       |
+| Frigate Beta (Full Access) | Beta release with the option to disable protection mode    |
+
+If you are using hardware acceleration for ffmpeg, you **may** need to use the _Full Access_ variant of the Add-on. This is because the Frigate Add-on runs in a container with limited access to the host system. The _Full Access_ variant allows you to disable _Protection mode_ and give Frigate full access to the host system.
+
+You can also edit the Frigate configuration file through the [VS Code Add-on](https://github.com/hassio-addons/addon-vscode) or similar. In that case, the configuration file will be at `/addon_configs/<addon_directory>/config.yml`, where `<addon_directory>` is specific to the variant of the Frigate Add-on you are running. See the list of directories [here](../configuration/index.md#accessing-add-on-config-dir).
 
 ## Kubernetes
 
@@ -312,7 +316,8 @@ If you choose to run Frigate via LXC in Proxmox the setup can be complex so be p
 
 :::
 
- Suggestions include:
+Suggestions include:
+
 - For Intel-based hardware acceleration, to allow access to the `/dev/dri/renderD128` device with major number 226 and minor number 128, add the following lines to the `/etc/pve/lxc/<id>.conf` LXC configuration:
   - `lxc.cgroup2.devices.allow: c 226:128 rwm`
   - `lxc.mount.entry: /dev/dri/renderD128 dev/dri/renderD128 none bind,optional,create=file`
@@ -403,7 +408,7 @@ mkdir -p /share/share_vol2/frigate/media
 # Also replace the time zone value for 'TZ' in the sample command.
 # Example command will create a docker container that uses at most 2 CPUs and 4G RAM.
 # You may need to add "--env=LIBVA_DRIVER_NAME=i965 \" to the following docker run command if you
-# have certain CPU (e.g., J4125). See https://docs.frigate.video/configuration/hardware_acceleration.
+# have certain CPU (e.g., J4125). See https://docs.frigate.video/configuration/hardware_acceleration_video.
 docker run \
   --name=frigate \
   --shm-size=256m \
diff --git a/docs/docs/guides/configuring_go2rtc.md b/docs/docs/guides/configuring_go2rtc.md
index 1a61fd0c5..652aa3b26 100644
--- a/docs/docs/guides/configuring_go2rtc.md
+++ b/docs/docs/guides/configuring_go2rtc.md
@@ -13,7 +13,7 @@ Use of the bundled go2rtc is optional. You can still configure FFmpeg to connect
 
 # Setup a go2rtc stream
 
-First, you will want to configure go2rtc to connect to your camera stream by adding the stream you want to use for live view in your Frigate config file. Avoid changing any other parts of your config at this step. Note that go2rtc supports [many different stream types](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#module-streams), not just rtsp.
+First, you will want to configure go2rtc to connect to your camera stream by adding the stream you want to use for live view in your Frigate config file. Avoid changing any other parts of your config at this step. Note that go2rtc supports [many different stream types](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#module-streams), not just rtsp.
 
 :::tip
 
@@ -32,69 +32,74 @@ go2rtc:
 
 After adding this to the config, restart Frigate and try to watch the live stream for a single camera by clicking on it from the dashboard. It should look much clearer and more fluent than the original jsmpeg stream.
 
-
 ### What if my video doesn't play?
 
 - Check Logs:
-    - Access the go2rtc logs in the Frigate UI under Logs in the sidebar.
-    - If go2rtc is having difficulty connecting to your camera, you should see some error messages in the log.
+
+  - Access the go2rtc logs in the Frigate UI under Logs in the sidebar.
+  - If go2rtc is having difficulty connecting to your camera, you should see some error messages in the log.
 
 - Check go2rtc Web Interface: if you don't see any errors in the logs, try viewing the camera through go2rtc's web interface.
-    - Navigate to port 1984 in your browser to access go2rtc's web interface.
-        - If using Frigate through Home Assistant, enable the web interface at port 1984.
-        - If using Docker, forward port 1984 before accessing the web interface.
-    - Click `stream` for the specific camera to see if the camera's stream is being received.
+
+  - Navigate to port 1984 in your browser to access go2rtc's web interface.
+    - If using Frigate through Home Assistant, enable the web interface at port 1984.
+    - If using Docker, forward port 1984 before accessing the web interface.
+  - Click `stream` for the specific camera to see if the camera's stream is being received.
 
 - Check Video Codec:
-    - If the camera stream works in go2rtc but not in your browser, the video codec might be unsupported.
-    - If using H265, switch to H264. Refer to [video codec compatibility](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#codecs-madness) in go2rtc documentation.
-    - If unable to switch from H265 to H264, or if the stream format is different (e.g., MJPEG), re-encode the video using [FFmpeg parameters](https://github.com/AlexxIT/go2rtc/tree/v1.9.2#source-ffmpeg). It supports rotating and resizing video feeds and hardware acceleration. Keep in mind that transcoding video from one format to another is a resource intensive task and you may be better off using the built-in jsmpeg view.
-        ```yaml
-        go2rtc:
-          streams:
-            back:
-              - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-              - "ffmpeg:back#video=h264#hardware"
-        ```
 
-- Switch to FFmpeg if needed: 
-    - Some camera streams may need to use the ffmpeg module in go2rtc. This has the downside of slower startup times, but has compatibility with more stream types.
-        ```yaml
-        go2rtc:
-          streams:
-            back:
-              - ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-        ```
+  - If the camera stream works in go2rtc but not in your browser, the video codec might be unsupported.
+  - If using H265, switch to H264. Refer to [video codec compatibility](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#codecs-madness) in go2rtc documentation.
+  - If unable to switch from H265 to H264, or if the stream format is different (e.g., MJPEG), re-encode the video using [FFmpeg parameters](https://github.com/AlexxIT/go2rtc/tree/v1.9.9#source-ffmpeg). It supports rotating and resizing video feeds and hardware acceleration. Keep in mind that transcoding video from one format to another is a resource intensive task and you may be better off using the built-in jsmpeg view.
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#video=h264#hardware"
+    ```
 
-    - If you can see the video but do not have audio, this is most likely because your camera's audio stream codec is not AAC.
-    - If possible, update your camera's audio settings to AAC in your camera's firmware.
-    - If your cameras do not support AAC audio, you will need to tell go2rtc to re-encode the audio to AAC on demand if you want audio. This will use additional CPU and add some latency. To add AAC audio on demand, you can update your go2rtc config as follows:
-        ```yaml
-        go2rtc:
-          streams:
-            back:
-              - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-              - "ffmpeg:back#audio=aac"
-        ```
+- Switch to FFmpeg if needed:
 
-        If you need to convert **both** the audio and video streams, you can use the following:
+  - Some camera streams may need to use the ffmpeg module in go2rtc. This has the downside of slower startup times, but has compatibility with more stream types.
 
-        ```yaml
-        go2rtc:
-          streams:
-            back:
-              - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-              - "ffmpeg:back#video=h264#audio=aac#hardware"
-        ```
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+    ```
 
-        When using the ffmpeg module, you would add AAC audio like this:
+  - If you can see the video but do not have audio, this is most likely because your camera's audio stream codec is not AAC.
+  - If possible, update your camera's audio settings to AAC in your camera's firmware.
+  - If your cameras do not support AAC audio, you will need to tell go2rtc to re-encode the audio to AAC on demand if you want audio. This will use additional CPU and add some latency. To add AAC audio on demand, you can update your go2rtc config as follows:
 
-        ```yaml
-        go2rtc:
-          streams:
-            back:
-              - "ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2#video=copy#audio=copy#audio=aac#hardware"
-        ```
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#audio=aac"
+    ```
+
+    If you need to convert **both** the audio and video streams, you can use the following:
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#video=h264#audio=aac#hardware"
+    ```
+
+    When using the ffmpeg module, you would add AAC audio like this:
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - "ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2#video=copy#audio=copy#audio=aac#hardware"
+    ```
 
 :::warning
 
@@ -110,3 +115,7 @@ section.
 
 1. If the stream you added to go2rtc is also used by Frigate for the `record` or `detect` role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown [here](/configuration/restream#reduce-connections-to-camera).
 2. You may also prefer to [setup WebRTC](/configuration/live#webrtc-extra-configuration) for slightly lower latency than MSE. Note that WebRTC only supports h264 and specific audio formats and may require opening ports on your router.
+
+## Important considerations
+
+If you are configuring go2rtc to publish HomeKit camera streams, on pairing the configuration is written to the `/dev/shm/go2rtc.yaml` file inside the container. These changes must be manually copied across to the `go2rtc` section of your Frigate configuration in order to persist through restarts.
diff --git a/docs/docs/guides/getting_started.md b/docs/docs/guides/getting_started.md
index bb880b8f0..89176ad4b 100644
--- a/docs/docs/guides/getting_started.md
+++ b/docs/docs/guides/getting_started.md
@@ -9,7 +9,7 @@ title: Getting started
 
 If you already have an environment with Linux and Docker installed, you can continue to [Installing Frigate](#installing-frigate) below.
 
-If you already have Frigate installed in Docker or as a Home Assistant addon, you can continue to [Configuring Frigate](#configuring-frigate) below.
+If you already have Frigate installed through Docker or through a Home Assistant Add-on, you can continue to [Configuring Frigate](#configuring-frigate) below.
 
 :::
 
@@ -81,7 +81,7 @@ Now you have a minimal Debian server that requires very little maintenance.
 
 ## Installing Frigate
 
-This section shows how to create a minimal directory structure for a Docker installation on Debian. If you have installed Frigate as a Home Assistant addon or another way, you can continue to [Configuring Frigate](#configuring-frigate).
+This section shows how to create a minimal directory structure for a Docker installation on Debian. If you have installed Frigate as a Home Assistant Add-on or another way, you can continue to [Configuring Frigate](#configuring-frigate).
 
 ### Setup directories
 
@@ -110,7 +110,6 @@ This `docker-compose.yml` file is just a starter for amd64 devices. You will nee
 `docker-compose.yml`
 
 ```yaml
-version: "3.9"
 services:
   frigate:
     container_name: frigate
@@ -151,8 +150,6 @@ cameras:
         - path: rtsp://10.0.10.10:554/rtsp # <----- The stream you want to use for detection
           roles:
             - detect
-    detect:
-      enabled: False # <---- disable detection until you have a working camera feed
 ```
 
 ### Step 2: Start Frigate
@@ -165,19 +162,18 @@ FFmpeg arguments for other types of cameras can be found [here](../configuration
 
 ### Step 3: Configure hardware acceleration (recommended)
 
-Now that you have a working camera configuration, you want to setup hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration.md) config reference for examples applicable to your hardware.
+Now that you have a working camera configuration, you want to setup hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration_video.md) config reference for examples applicable to your hardware.
 
 Here is an example configuration with hardware acceleration configured to work with most Intel processors with an integrated GPU using the [preset](../configuration/ffmpeg_presets.md):
 
 `docker-compose.yml` (after modifying, you will need to run `docker compose up -d` to apply changes)
 
 ```yaml
-version: "3.9"
 services:
   frigate:
     ...
     devices:
-      - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
+      - /dev/dri/renderD128:/dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
     ...
 ```
 
@@ -201,7 +197,6 @@ By default, Frigate will use a single CPU detector. If you have a USB Coral, you
 `docker-compose.yml` (after modifying, you will need to run `docker compose up -d` to apply changes)
 
 ```yaml
-version: "3.9"
 services:
   frigate:
     ...
@@ -307,7 +302,8 @@ By default, Frigate will retain video of all tracked objects for 10 days. The fu
 
 ### Step 7: Complete config
 
-At this point you have a complete config with basic functionality. 
+At this point you have a complete config with basic functionality.
+
 - View [common configuration examples](../configuration/index.md#common-configuration-examples) for a list of common configuration examples.
 - View [full config reference](../configuration/reference.md) for a complete list of configuration options.
 
diff --git a/docs/docs/guides/ha_network_storage.md b/docs/docs/guides/ha_network_storage.md
index fe00311ab..78cddddeb 100644
--- a/docs/docs/guides/ha_network_storage.md
+++ b/docs/docs/guides/ha_network_storage.md
@@ -3,24 +3,18 @@ id: ha_network_storage
 title: Home Assistant network storage
 ---
 
-As of Home Assistant Core 2023.6, Network Mounted Storage is supported for addons.
+As of Home Assistant 2023.6, Network Mounted Storage is supported for Add-ons.
 
 ## Setting Up Remote Storage For Frigate
 
 ### Prerequisites
 
-- HA Core 2023.6 or newer is installed
-- Running HA OS 10.2 or newer OR Running Supervised with latest os-agent installed (this is required for supervised install)
+- Home Assistant 2023.6 or newer is installed
+- Running Home Assistant Operating System 10.2 or newer OR Running Supervised with latest os-agent installed (this is required for supervised install)
 
 ### Initial Setup
 
-1. Stop the Frigate addon
-2. Update your [config](configuration/index.md) so the DB is stored in the /config directory by adding:
-
-```yaml
-database:
-  path: /config/frigate.db
-```
+1. Stop the Frigate Add-on
 
 ### Move current data
 
@@ -43,4 +37,4 @@ Keeping the current data is optional, but the data will need to be moved regardl
 4. Fill out the additional required info for your particular NAS
 5. Connect
 6. Move files from `/media/frigate_tmp` to `/media/frigate` if they were kept in previous step
-7. Start the Frigate addon
+7. Start the Frigate Add-on
diff --git a/docs/docs/integrations/home-assistant.md b/docs/docs/integrations/home-assistant.md
index 07f907f11..2ce09b275 100644
--- a/docs/docs/integrations/home-assistant.md
+++ b/docs/docs/integrations/home-assistant.md
@@ -51,7 +51,7 @@ When configuring the integration, you will be asked for the `URL` of your Frigat
 
 ### Docker Compose Examples
 
-If you are running Home Assistant Core and Frigate with Docker Compose on the same device, here are some examples.
+If you are running Home Assistant and Frigate with Docker Compose on the same device, here are some examples.
 
 #### Home Assistant running with host networking
 
@@ -60,7 +60,6 @@ It is not recommended to run Frigate in host networking mode. In this example, y
 ```yaml
 services:
   homeassistant:
-    container_name: hass
     image: ghcr.io/home-assistant/home-assistant:stable
     network_mode: host
     ...
@@ -80,7 +79,6 @@ In this example, it is recommended to connect to the authenticated port, for exa
 ```yaml
 services:
   homeassistant:
-    container_name: hass
     image: ghcr.io/home-assistant/home-assistant:stable
     # network_mode: host
     ...
@@ -93,17 +91,16 @@ services:
       ...
 ```
 
-### HassOS Addon
+### Home Assistant Add-on
 
-If you are using HassOS with the addon, the URL should be one of the following depending on which addon version you are using. Note that if you are using the Proxy Addon, you do NOT point the integration at the proxy URL. Just enter the URL used to access Frigate directly from your network.
+If you are using Home Assistant Add-on, the URL should be one of the following depending on which Add-on variant you are using. Note that if you are using the Proxy Add-on, you should NOT point the integration at the proxy URL. Just enter the same URL used to access Frigate directly from your network.
 
-| Addon Version                  | URL                                       |
-| ------------------------------ | ----------------------------------------- |
-| Frigate NVR                    | `http://ccab4aaf-frigate:5000`            |
-| Frigate NVR (Full Access)      | `http://ccab4aaf-frigate-fa:5000`         |
-| Frigate NVR Beta               | `http://ccab4aaf-frigate-beta:5000`       |
-| Frigate NVR Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000`    |
-| Frigate NVR HailoRT Beta       | `http://ccab4aaf-frigate-hailo-beta:5000` |
+| Add-on Variant             | URL                                       |
+| -------------------------- | ----------------------------------------- |
+| Frigate                    | `http://ccab4aaf-frigate:5000`            |
+| Frigate (Full Access)      | `http://ccab4aaf-frigate-fa:5000`         |
+| Frigate Beta               | `http://ccab4aaf-frigate-beta:5000`       |
+| Frigate Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000`    |
 
 ### Frigate running on a separate machine
 
diff --git a/docs/docs/integrations/mqtt.md b/docs/docs/integrations/mqtt.md
index 8fbe9f209..afbc78e99 100644
--- a/docs/docs/integrations/mqtt.md
+++ b/docs/docs/integrations/mqtt.md
@@ -59,7 +59,11 @@ Message published for each changed tracked object. The first message is publishe
     "attributes": {
       "face": 0.64
     }, // attributes with top score that have been identified on the object at any point
-    "current_attributes": [] // detailed data about the current attributes in this frame
+    "current_attributes": [], // detailed data about the current attributes in this frame
+    "current_estimated_speed": 0.71, // current estimated speed (mph or kph) for objects moving through zones with speed estimation enabled
+    "velocity_angle": 180, // direction of travel relative to the frame for objects moving through zones with speed estimation enabled
+    "recognized_license_plate": "ABC12345", // a recognized license plate for car objects
+    "recognized_license_plate_score": 0.933451
   },
   "after": {
     "id": "1607123955.475377-mxklsc",
@@ -103,14 +107,20 @@ Message published for each changed tracked object. The first message is publishe
         "box": [442, 506, 534, 524],
         "score": 0.86
       }
-    ]
+    ],
+    "current_estimated_speed": 0.77, // current estimated speed (mph or kph) for objects moving through zones with speed estimation enabled
+    "velocity_angle": 180, // direction of travel relative to the frame for objects moving through zones with speed estimation enabled
+    "recognized_license_plate": "ABC12345", // a recognized license plate for car objects
+    "recognized_license_plate_score": 0.933451
   }
 }
 ```
 
 ### `frigate/tracked_object_update`
 
-Message published for updates to tracked object metadata, for example when GenAI runs and returns a tracked object description.
+Message published for updates to tracked object metadata, for example:
+
+#### Generative AI Description Update
 
 ```json
 {
@@ -120,6 +130,33 @@ Message published for updates to tracked object metadata, for example when GenAI
 }
 ```
 
+#### Face Recognition Update
+
+```json
+{
+  "type": "face",
+  "id": "1607123955.475377-mxklsc",
+  "name": "John",
+  "score": 0.95,
+  "camera": "front_door_cam",
+  "timestamp": 1607123958.748393,
+}
+```
+
+#### License Plate Recognition Update
+
+```json
+{
+  "type": "lpr",
+  "id": "1607123955.475377-mxklsc",
+  "name": "John's Car",
+  "plate": "123ABC",
+  "score": 0.95,
+  "camera": "driveway_cam",
+  "timestamp": 1607123958.748393,
+}
+```
+
 ### `frigate/reviews`
 
 Message published for each changed review item. The first message is published when the `detection` or `alert` is initiated. When additional objects are detected or when a zone change occurs, it will publish a, `update` message with the same id. When the review activity has ended a final `end` message is published.
@@ -232,6 +269,14 @@ Publishes the rms value for audio detected on this camera.
 
 **NOTE:** Requires audio detection to be enabled
 
+### `frigate/<camera_name>/enabled/set`
+
+Topic to turn Frigate's processing of a camera on and off. Expected values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/enabled/state`
+
+Topic with current state of processing for a camera. Published values are `ON` and `OFF`.
+
 ### `frigate/<camera_name>/detect/set`
 
 Topic to turn object detection for a camera on and off. Expected values are `ON` and `OFF`.
@@ -303,6 +348,10 @@ Topic to adjust motion contour area for a camera. Expected value is an integer.
 
 Topic with current motion contour area for a camera. Published value is an integer.
 
+### `frigate/<camera_name>/review_status`
+
+Topic with current activity status of the camera. Possible values are `NONE`, `DETECTION`, or `ALERT`.
+
 ### `frigate/<camera_name>/ptz`
 
 Topic to send PTZ commands to camera.
@@ -326,6 +375,22 @@ Topic with current state of the PTZ autotracker for a camera. Published values a
 
 Topic to determine if PTZ autotracker is actively tracking an object. Published values are `ON` and `OFF`.
 
+### `frigate/<camera_name>/review_alerts/set`
+
+Topic to turn review alerts for a camera on or off. Expected values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/review_alerts/state`
+
+Topic with current state of review alerts for a camera. Published values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/review_detections/set`
+
+Topic to turn review detections for a camera on or off. Expected values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/review_detections/state`
+
+Topic with current state of review detections for a camera. Published values are `ON` and `OFF`.
+
 ### `frigate/<camera_name>/birdseye/set`
 
 Topic to turn Birdseye for a camera on and off. Expected values are `ON` and `OFF`. Birdseye mode
@@ -351,3 +416,19 @@ the camera to be removed from the view._
 ### `frigate/<camera_name>/birdseye_mode/state`
 
 Topic with current state of the Birdseye mode for a camera. Published values are `CONTINUOUS`, `MOTION`, `OBJECTS`.
+
+### `frigate/<camera_name>/notifications/set`
+
+Topic to turn notifications on and off. Expected values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/notifications/state`
+
+Topic with current state of notifications. Published values are `ON` and `OFF`.
+
+### `frigate/<camera_name>/notifications/suspend`
+
+Topic to suspend notifications for a certain number of minutes. Expected value is an integer.
+
+### `frigate/<camera_name>/notifications/suspended`
+
+Topic with timestamp that notifications are suspended until. Published value is a UNIX timestamp, or 0 if notifications are not suspended.
diff --git a/docs/docs/integrations/plus.md b/docs/docs/integrations/plus.md
index 30c69c927..961d6e94f 100644
--- a/docs/docs/integrations/plus.md
+++ b/docs/docs/integrations/plus.md
@@ -19,11 +19,11 @@ Once logged in, you can generate an API key for Frigate in Settings.
 
 ### Set your API key
 
-In Frigate, you can use an environment variable or a docker secret named `PLUS_API_KEY` to enable the `Frigate+` buttons on the Explore page. Home Assistant Addon users can set it under Settings > Addons > Frigate NVR > Configuration > Options (be sure to toggle the "Show unused optional configuration options" switch).
+In Frigate, you can use an environment variable or a docker secret named `PLUS_API_KEY` to enable the `Frigate+` buttons on the Explore page. Home Assistant Addon users can set it under Settings > Add-ons > Frigate > Configuration > Options (be sure to toggle the "Show unused optional configuration options" switch).
 
 :::warning
 
-You cannot use the `environment_vars` section of your Frigate configuration file to set this environment variable. It must be defined as an environment variable in the docker config or HA addon config.
+You cannot use the `environment_vars` section of your Frigate configuration file to set this environment variable. It must be defined as an environment variable in the docker config or Home Assistant Add-on config.
 
 :::
 
@@ -51,6 +51,8 @@ You can view all of your submitted images at [https://plus.frigate.video](https:
 
 Once you have [requested your first model](../plus/first_model.md) and gotten your own model ID, it can be used with a special model path. No other information needs to be configured for Frigate+ models because it fetches the remaining config from Frigate+ automatically.
 
+You can either choose the new model from the Frigate+ pane in the Settings page of the Frigate UI, or manually set the model at the root level in your config:
+
 ```yaml
 model:
   path: plus://<your_model_id>
diff --git a/docs/docs/integrations/third_party_extensions.md b/docs/docs/integrations/third_party_extensions.md
index ea023ec31..adaee2780 100644
--- a/docs/docs/integrations/third_party_extensions.md
+++ b/docs/docs/integrations/third_party_extensions.md
@@ -25,8 +25,16 @@ This is a fork (with fixed errors and new features) of [original Double Take](ht
 
 ## [Frigate Notify](https://github.com/0x2142/frigate-notify)
 
-[Frigate Notify](https://github.com/0x2142/frigate-notify) is a simple app designed to send notifications from Frigate NVR to your favorite platforms. Intended to be used with standalone Frigate installations - Home Assistant not required, MQTT is optional but recommended.
+[Frigate Notify](https://github.com/0x2142/frigate-notify) is a simple app designed to send notifications from Frigate to your favorite platforms. Intended to be used with standalone Frigate installations - Home Assistant not required, MQTT is optional but recommended.
+
+## [Frigate Snap-Sync](https://github.com/thequantumphysicist/frigate-snap-sync/)
+
+[Frigate Snap-Sync](https://github.com/thequantumphysicist/frigate-snap-sync/) is a program that works in tandem with Frigate. It responds to Frigate when a snapshot or a review is made (and more can be added), and uploads them to one or more remote server(s) of your choice.
 
 ## [Frigate telegram](https://github.com/OldTyT/frigate-telegram)
 
 [Frigate telegram](https://github.com/OldTyT/frigate-telegram) makes it possible to send events from Frigate to Telegram. Events are sent as a message with a text description, video, and thumbnail.
+
+## [Periscope](https://github.com/maksz42/periscope)
+
+[Periscope](https://github.com/maksz42/periscope) is a lightweight Android app that turns old devices into live viewers for Frigate. It works on Android 2.2 and above, including Android TV. It supports authentication and HTTPS.
diff --git a/docs/docs/plus/annotating.md b/docs/docs/plus/annotating.md
index 3e215faac..102e4a489 100644
--- a/docs/docs/plus/annotating.md
+++ b/docs/docs/plus/annotating.md
@@ -27,7 +27,7 @@ Suggestions are converted to labels when saving, so you should remove any errant
 
 ## False positive labels
 
-False positives will be shown with a read box and the label will have a strike through. These can't be adjusted, but they can be deleted if you accidentally submit a true positive as a false positive from Frigate.
+False positives will be shown with a red box and the label will have a strike through. These can't be adjusted, but they can be deleted if you accidentally submit a true positive as a false positive from Frigate.
 ![false positive](/img/plus/false-positive.jpg)
 
 Misidentified objects should have a correct label added. For example, if a person was mistakenly detected as a cat, you should submit it as a false positive in Frigate and add a label for the person. The boxes will overlap.
diff --git a/docs/docs/plus/faq.md b/docs/docs/plus/faq.md
index fb0cd2512..151eb3f60 100644
--- a/docs/docs/plus/faq.md
+++ b/docs/docs/plus/faq.md
@@ -22,3 +22,13 @@ Yes. Models and metadata are stored in the `model_cache` directory within the co
 ### Can I keep using my Frigate+ models even if I do not renew my subscription?
 
 Yes. Subscriptions to Frigate+ provide access to the infrastructure used to train the models. Models trained with your subscription are yours to keep and use forever. However, do note that the terms and conditions prohibit you from sharing, reselling, or creating derivative products from the models.
+
+### Why can't I submit images to Frigate+?
+
+If you've configured your API key and the Frigate+ Settings page in the UI shows that the key is active, you need to ensure that you've enabled both snapshots and `clean_copy` snapshots for the cameras you'd like to submit images for. Note that `clean_copy` is enabled by default when snapshots are enabled.
+
+```yaml
+snapshots:
+  enabled: true
+  clean_copy: true
+```
diff --git a/docs/docs/plus/index.md b/docs/docs/plus/index.md
index 9790de286..eba9bc370 100644
--- a/docs/docs/plus/index.md
+++ b/docs/docs/plus/index.md
@@ -22,11 +22,11 @@ Not all model types are supported by all detectors, so it's important to choose
 
 ## Supported detector types
 
-Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), and ROCm (`rocm`) detectors.
+Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), and ONNX (`onnx`) detectors.
 
 :::warning
 
-Using Frigate+ models with `onnx` and `rocm` is only available with Frigate 0.15 and later.
+Using Frigate+ models with `onnx` is only available with Frigate 0.15 and later.
 
 :::
 
diff --git a/docs/docs/troubleshooting/edgetpu.md b/docs/docs/troubleshooting/edgetpu.md
index 3587898c8..f5cb3587f 100644
--- a/docs/docs/troubleshooting/edgetpu.md
+++ b/docs/docs/troubleshooting/edgetpu.md
@@ -10,6 +10,12 @@ There are many possible causes for a USB coral not being detected and some are O
 1. When the device is first plugged in and has not initialized it will appear as `1a6e:089a Global Unichip Corp.` when running `lsusb` or checking the hardware page in HA OS.
 2. Once initialized, the device will appear as `18d1:9302 Google Inc.` when running `lsusb` or checking the hardware page in HA OS.
 
+:::tip
+
+Using `lsusb` or checking the hardware page in HA OS will show as `1a6e:089a Global Unichip Corp.` until Frigate runs an inferance using the coral. So don't worry about the identification until after Frigate has attempted to detect the coral.
+
+:::
+
 If the coral does not initialize then Frigate can not interface with it. Some common reasons for the USB based Coral not initializing are:
 
 ### Not Enough Power
@@ -26,7 +32,7 @@ The USB coral can draw up to 900mA and this can be too much for some on-device U
 The USB coral has different IDs when it is uninitialized and initialized.
 
 - When running Frigate in a VM, Proxmox lxc, etc. you must ensure both device IDs are mapped.
-- When running HA OS you may need to run the Full Access version of the Frigate addon with the `Protected Mode` switch disabled so that the coral can be accessed.
+- When running through the Home Assistant OS you may need to run the Full Access variant of the Frigate Add-on with the _Protection mode_ switch disabled so that the coral can be accessed.
 
 ### Synology 716+II running DSM 7.2.1-69057 Update 5
 
@@ -60,10 +66,14 @@ The USB Coral can become stuck and need to be restarted, this can happen for a n
 
 ## PCIe Coral Not Detected
 
-The most common reason for the PCIe Coral not being detected is that the driver has not been installed. This process varies based on what OS and kernel that is being run. 
+The most common reason for the PCIe Coral not being detected is that the driver has not been installed. This process varies based on what OS and kernel that is being run.
 
 - In most cases [the Coral docs](https://coral.ai/docs/m2/get-started/#2-install-the-pcie-driver-and-edge-tpu-runtime) show how to install the driver for the PCIe based Coral.
-- For Ubuntu 22.04+ https://github.com/jnicolson/gasket-builder can be used to build and install the latest version of the driver.
+- For some newer Linux distros (for example, Ubuntu 22.04+), https://github.com/jnicolson/gasket-builder can be used to build and install the latest version of the driver.
+
+## Attempting to load TPU as pci & Fatal Python error: Illegal instruction
+
+This is an issue due to outdated gasket driver when being used with new linux kernels. Installing an updated driver from https://github.com/jnicolson/gasket-builder has been reported to fix the issue.
 
 ### Not detected on Raspberry Pi5
 
diff --git a/docs/docs/troubleshooting/faqs.md b/docs/docs/troubleshooting/faqs.md
index 1af1508e4..ff2379ea7 100644
--- a/docs/docs/troubleshooting/faqs.md
+++ b/docs/docs/troubleshooting/faqs.md
@@ -34,7 +34,7 @@ Frigate generally [recommends cameras with configurable sub streams](/frigate/ha
 To do this efficiently the following setup is required:
 
 1. A GPU or iGPU must be available to do the scaling.
-2. [ffmpeg presets for hwaccel](/configuration/hardware_acceleration.md) must be used
+2. [ffmpeg presets for hwaccel](/configuration/hardware_acceleration_video.md) must be used
 3. Set the desired detection resolution for `detect -> width` and `detect -> height`.
 
 When this is done correctly, the GPU will do the decoding and scaling which will result in a small increase in CPU usage but with better results.
diff --git a/docs/docs/troubleshooting/gpu.md b/docs/docs/troubleshooting/gpu.md
new file mode 100644
index 000000000..a5b48246a
--- /dev/null
+++ b/docs/docs/troubleshooting/gpu.md
@@ -0,0 +1,13 @@
+---
+id: gpu
+title: Troubleshooting GPU
+---
+
+## OpenVINO
+
+### Can't get OPTIMIZATION_CAPABILITIES property as no supported devices found.
+
+Some users have reported issues using some Intel iGPUs with OpenVINO, where the GPU would not be detected. This error can be caused by various problems, so it is important to ensure the configuration is setup correctly. Some solutions users have noted:
+
+- In some cases users have noted that an HDMI dummy plug was necessary to be plugged into the motherboard's HDMI port.
+- When mixing an Intel iGPU with Nvidia GPU, the devices can be mixed up between `/dev/dri/renderD128` and `/dev/dri/renderD129` so it is important to confirm the correct device, or map the entire `/dev/dri` directory into the Frigate container.
\ No newline at end of file
diff --git a/docs/docs/troubleshooting/recordings.md b/docs/docs/troubleshooting/recordings.md
index 667ea1e8f..d26a3614e 100644
--- a/docs/docs/troubleshooting/recordings.md
+++ b/docs/docs/troubleshooting/recordings.md
@@ -47,10 +47,9 @@ On linux, some helpful tools/commands in diagnosing would be:
 
 On modern linux kernels, the system will utilize some swap if enabled. Setting vm.swappiness=1 no longer means that the kernel will only swap in order to avoid OOM. To prevent any swapping inside a container, set allocations memory and memory+swap to be the same and disable swapping by setting the following docker/podman run parameters:
 
-**Compose example**
+**Docker Compose example**
 
 ```yaml
-version: "3.9"
 services:
   frigate:
     ...
diff --git a/docs/docusaurus.config.ts b/docs/docusaurus.config.ts
index bdc8e7fa7..c0295faae 100644
--- a/docs/docusaurus.config.ts
+++ b/docs/docusaurus.config.ts
@@ -22,6 +22,15 @@ const config: Config = {
   markdown: {
     mermaid: true,
   },
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en'],
+    localeConfigs: {
+      en: {
+        label: 'English',
+      }
+    },
+  },
   themeConfig: {
     announcementBar: {
       id: 'frigate_plus',
@@ -128,9 +137,19 @@ const config: Config = {
           position: "right",
         },
         {
-          href: "https://github.com/blakeblackshear/frigate",
-          label: "GitHub",
-          position: "right",
+          type: 'localeDropdown',
+          position: 'right',
+          dropdownItemsAfter: [
+            {
+              label: '简体中文（社区翻译）',
+              href: 'https://docs.frigate-cn.video',
+            }
+          ]
+        },
+        {
+          href: 'https://github.com/blakeblackshear/frigate',
+          label: 'GitHub',
+          position: 'right',
         },
       ],
     },
diff --git a/docs/package-lock.json b/docs/package-lock.json
index 89de28af4..3f00a21f9 100644
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -8,9 +8,9 @@
       "name": "docs",
       "version": "0.0.0",
       "dependencies": {
-        "@docusaurus/core": "^3.6.3",
+        "@docusaurus/core": "^3.7.0",
         "@docusaurus/plugin-content-docs": "^3.6.3",
-        "@docusaurus/preset-classic": "^3.6.3",
+        "@docusaurus/preset-classic": "^3.7.0",
         "@docusaurus/theme-mermaid": "^3.6.3",
         "@inkeep/docusaurus": "^2.0.16",
         "@mdx-js/react": "^3.1.0",
@@ -32,34 +32,34 @@
       }
     },
     "node_modules/@algolia/autocomplete-core": {
-      "version": "1.17.7",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.17.7.tgz",
-      "integrity": "sha512-BjiPOW6ks90UKl7TwMv7oNQMnzU+t/wk9mgIDi6b1tXpUek7MW0lbNOUHpvam9pe3lVCf4xPFT+lK7s+e+fs7Q==",
+      "version": "1.17.9",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.17.9.tgz",
+      "integrity": "sha512-O7BxrpLDPJWWHv/DLA9DRFWs+iY1uOJZkqUwjS5HSZAGcl0hIVCQ97LTLewiZmZ402JYUrun+8NqFP+hCknlbQ==",
       "license": "MIT",
       "dependencies": {
-        "@algolia/autocomplete-plugin-algolia-insights": "1.17.7",
-        "@algolia/autocomplete-shared": "1.17.7"
+        "@algolia/autocomplete-plugin-algolia-insights": "1.17.9",
+        "@algolia/autocomplete-shared": "1.17.9"
       }
     },
     "node_modules/@algolia/autocomplete-plugin-algolia-insights": {
-      "version": "1.17.7",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.17.7.tgz",
-      "integrity": "sha512-Jca5Ude6yUOuyzjnz57og7Et3aXjbwCSDf/8onLHSQgw1qW3ALl9mrMWaXb5FmPVkV3EtkD2F/+NkT6VHyPu9A==",
+      "version": "1.17.9",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.17.9.tgz",
+      "integrity": "sha512-u1fEHkCbWF92DBeB/KHeMacsjsoI0wFhjZtlCq2ddZbAehshbZST6Hs0Avkc0s+4UyBGbMDnSuXHLuvRWK5iDQ==",
       "license": "MIT",
       "dependencies": {
-        "@algolia/autocomplete-shared": "1.17.7"
+        "@algolia/autocomplete-shared": "1.17.9"
       },
       "peerDependencies": {
         "search-insights": ">= 1 < 3"
       }
     },
     "node_modules/@algolia/autocomplete-preset-algolia": {
-      "version": "1.17.7",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.17.7.tgz",
-      "integrity": "sha512-ggOQ950+nwbWROq2MOCIL71RE0DdQZsceqrg32UqnhDz8FlO9rL8ONHNsI2R1MH0tkgVIDKI/D0sMiUchsFdWA==",
+      "version": "1.17.9",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.17.9.tgz",
+      "integrity": "sha512-Na1OuceSJeg8j7ZWn5ssMu/Ax3amtOwk76u4h5J4eK2Nx2KB5qt0Z4cOapCsxot9VcEN11ADV5aUSlQF4RhGjQ==",
       "license": "MIT",
       "dependencies": {
-        "@algolia/autocomplete-shared": "1.17.7"
+        "@algolia/autocomplete-shared": "1.17.9"
       },
       "peerDependencies": {
         "@algolia/client-search": ">= 4.9.1 < 6",
@@ -67,189 +67,109 @@
       }
     },
     "node_modules/@algolia/autocomplete-shared": {
-      "version": "1.17.7",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.17.7.tgz",
-      "integrity": "sha512-o/1Vurr42U/qskRSuhBH+VKxMvkkUVTLU6WZQr+L5lGZZLYWyhdzWjW0iGXY7EkwRTjBqvN2EsR81yCTGV/kmg==",
+      "version": "1.17.9",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.17.9.tgz",
+      "integrity": "sha512-iDf05JDQ7I0b7JEA/9IektxN/80a2MZ1ToohfmNS3rfeuQnIKI3IJlIafD0xu4StbtQTghx9T3Maa97ytkXenQ==",
       "license": "MIT",
       "peerDependencies": {
         "@algolia/client-search": ">= 4.9.1 < 6",
         "algoliasearch": ">= 4.9.1 < 6"
       }
     },
-    "node_modules/@algolia/cache-browser-local-storage": {
-      "version": "4.24.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.24.0.tgz",
-      "integrity": "sha512-t63W9BnoXVrGy9iYHBgObNXqYXM3tYXCjDSHeNwnsc324r4o5UiVKUiAB4THQ5z9U5hTj6qUvwg/Ez43ZD85ww==",
-      "license": "MIT",
-      "dependencies": {
-        "@algolia/cache-common": "4.24.0"
-      }
-    },
-    "node_modules/@algolia/cache-common": {
-      "version": "4.24.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.24.0.tgz",
-      "integrity": "sha512-emi+v+DmVLpMGhp0V9q9h5CdkURsNmFC+cOS6uK9ndeJm9J4TiqSvPYVu+THUP8P/S08rxf5x2P+p3CfID0Y4g==",
-      "license": "MIT"
-    },
-    "node_modules/@algolia/cache-in-memory": {
-      "version": "4.24.0",
-      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.24.0.tgz",
-      "integrity": "sha512-gDrt2so19jW26jY3/MkFg5mEypFIPbPoXsQGQWAi6TrCPsNOSEYepBMPlucqWigsmEy/prp5ug2jy/N3PVG/8w==",
-      "license": "MIT",
-      "dependencies": {
-        "@algolia/cache-common": "4.24.0"
-      }
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@@ -4057,6 +3921,40 @@
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+      "license": "MIT",
+      "dependencies": {
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+      "resolved": "https://registry.npmjs.org/globals/-/globals-15.15.0.tgz",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
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-      "integrity": "sha512-EksG6gFY3L1eFMROS/7Wzgrii5mBAFe4rIr3r2BTfo7bcc+DWwFZ4OJ/miOuHJO/A85HwyI4eQ0F6IKXesO7Fg==",
+      "version": "5.99.7",
+      "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.99.7.tgz",
+      "integrity": "sha512-CNqKBRMQjwcmKR0idID5va1qlhrqVUKpovi+Ec79ksW8ux7iS1+A6VqzfZXgVYCFRKl7XL5ap3ZoMpwBJxcg0w==",
       "license": "MIT",
       "dependencies": {
         "@types/eslint-scope": "^3.7.7",
         "@types/estree": "^1.0.6",
+        "@types/json-schema": "^7.0.15",
         "@webassemblyjs/ast": "^1.14.1",
         "@webassemblyjs/wasm-edit": "^1.14.1",
         "@webassemblyjs/wasm-parser": "^1.14.1",
@@ -23113,9 +22700,9 @@
         "loader-runner": "^4.2.0",
         "mime-types": "^2.1.27",
         "neo-async": "^2.6.2",
-        "schema-utils": "^3.2.0",
+        "schema-utils": "^4.3.2",
         "tapable": "^2.1.1",
-        "terser-webpack-plugin": "^5.3.10",
+        "terser-webpack-plugin": "^5.3.11",
         "watchpack": "^2.4.1",
         "webpack-sources": "^3.2.3"
       },
@@ -23193,26 +22780,11 @@
         "webpack": "^4.0.0 || ^5.0.0"
       }
     },
-    "node_modules/webpack-dev-middleware/node_modules/mime-db": {
-      "version": "1.52.0",
-      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
-      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 0.6"
-      }
-    },
-    "node_modules/webpack-dev-middleware/node_modules/mime-types": {
-      "version": "2.1.35",
-      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
-      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
-      "license": "MIT",
-      "dependencies": {
-        "mime-db": "1.52.0"
-      },
-      "engines": {
-        "node": ">= 0.6"
-      }
+    "node_modules/webpack-dev-middleware/node_modules/colorette": {
+      "version": "2.0.20",
+      "resolved": "https://registry.npmjs.org/colorette/-/colorette-2.0.20.tgz",
+      "integrity": "sha512-IfEDxwoWIjkeXL1eXcDiow4UbKjhLdq6/EuSVR9GMN7KVH3r9gQ83e73hsz1Nd1T3ijd5xv1wcWRYO+D6kCI2w==",
+      "license": "MIT"
     },
     "node_modules/webpack-dev-middleware/node_modules/range-parser": {
       "version": "1.2.1",
@@ -23282,10 +22854,16 @@
         }
       }
     },
+    "node_modules/webpack-dev-server/node_modules/colorette": {
+      "version": "2.0.20",
+      "resolved": "https://registry.npmjs.org/colorette/-/colorette-2.0.20.tgz",
+      "integrity": "sha512-IfEDxwoWIjkeXL1eXcDiow4UbKjhLdq6/EuSVR9GMN7KVH3r9gQ83e73hsz1Nd1T3ijd5xv1wcWRYO+D6kCI2w==",
+      "license": "MIT"
+    },
     "node_modules/webpack-dev-server/node_modules/ws": {
-      "version": "8.18.0",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.0.tgz",
-      "integrity": "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==",
+      "version": "8.18.1",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.1.tgz",
+      "integrity": "sha512-RKW2aJZMXeMxVpnZ6bck+RswznaxmzdULiBr6KY7XkTnW8uvt0iT9H5DkHUChXrc+uurzwa0rVI16n/Xzjdz1w==",
       "license": "MIT",
       "engines": {
         "node": ">=10.0.0"
@@ -23304,90 +22882,28 @@
       }
     },
     "node_modules/webpack-merge": {
-      "version": "5.10.0",
-      "resolved": "https://registry.npmjs.org/webpack-merge/-/webpack-merge-5.10.0.tgz",
-      "integrity": "sha512-+4zXKdx7UnO+1jaN4l2lHVD+mFvnlZQP/6ljaJVb4SZiwIKeUnrT5l0gkT8z+n4hKpC+jpOv6O9R+gLtag7pSA==",
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/webpack-merge/-/webpack-merge-6.0.1.tgz",
+      "integrity": "sha512-hXXvrjtx2PLYx4qruKl+kyRSLc52V+cCvMxRjmKwoA+CBbbF5GfIBtR6kCvl0fYGqTUPKB+1ktVmTHqMOzgCBg==",
+      "license": "MIT",
       "dependencies": {
         "clone-deep": "^4.0.1",
         "flat": "^5.0.2",
-        "wildcard": "^2.0.0"
+        "wildcard": "^2.0.1"
       },
       "engines": {
-        "node": ">=10.0.0"
+        "node": ">=18.0.0"
       }
     },
     "node_modules/webpack-sources": {
       "version": "3.2.3",
       "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
       "integrity": "sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==",
+      "license": "MIT",
       "engines": {
         "node": ">=10.13.0"
       }
     },
-    "node_modules/webpack/node_modules/ajv": {
-      "version": "6.12.6",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
-      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
-      "dependencies": {
-        "fast-deep-equal": "^3.1.1",
-        "fast-json-stable-stringify": "^2.0.0",
-        "json-schema-traverse": "^0.4.1",
-        "uri-js": "^4.2.2"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
-    },
-    "node_modules/webpack/node_modules/ajv-keywords": {
-      "version": "3.5.2",
-      "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
-      "integrity": "sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==",
-      "peerDependencies": {
-        "ajv": "^6.9.1"
-      }
-    },
-    "node_modules/webpack/node_modules/json-schema-traverse": {
-      "version": "0.4.1",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
-      "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="
-    },
-    "node_modules/webpack/node_modules/mime-db": {
-      "version": "1.52.0",
-      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
-      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
-      "engines": {
-        "node": ">= 0.6"
-      }
-    },
-    "node_modules/webpack/node_modules/mime-types": {
-      "version": "2.1.35",
-      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
-      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
-      "dependencies": {
-        "mime-db": "1.52.0"
-      },
-      "engines": {
-        "node": ">= 0.6"
-      }
-    },
-    "node_modules/webpack/node_modules/schema-utils": {
-      "version": "3.3.0",
-      "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-3.3.0.tgz",
-      "integrity": "sha512-pN/yOAvcC+5rQ5nERGuwrjLlYvLTbCibnZ1I7B1LaiAz9BRBlE9GMgE/eqV30P7aJQUf7Ddimy/RsbYO/GrVGg==",
-      "dependencies": {
-        "@types/json-schema": "^7.0.8",
-        "ajv": "^6.12.5",
-        "ajv-keywords": "^3.5.2"
-      },
-      "engines": {
-        "node": ">= 10.13.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/webpack"
-      }
-    },
     "node_modules/webpackbar": {
       "version": "6.0.1",
       "resolved": "https://registry.npmjs.org/webpackbar/-/webpackbar-6.0.1.tgz",
@@ -23497,6 +23013,7 @@
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
       "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+      "license": "ISC",
       "dependencies": {
         "isexe": "^2.0.0"
       },
@@ -23507,30 +23024,11 @@
         "node": ">= 8"
       }
     },
-    "node_modules/which-typed-array": {
-      "version": "1.1.18",
-      "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.18.tgz",
-      "integrity": "sha512-qEcY+KJYlWyLH9vNbsr6/5j59AXk5ni5aakf8ldzBvGde6Iz4sxZGkJyWSAueTG7QhOvNRYb1lDdFmL5Td0QKA==",
-      "license": "MIT",
-      "dependencies": {
-        "available-typed-arrays": "^1.0.7",
-        "call-bind": "^1.0.8",
-        "call-bound": "^1.0.3",
-        "for-each": "^0.3.3",
-        "gopd": "^1.2.0",
-        "has-tostringtag": "^1.0.2"
-      },
-      "engines": {
-        "node": ">= 0.4"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
-      }
-    },
     "node_modules/widest-line": {
       "version": "4.0.1",
       "resolved": "https://registry.npmjs.org/widest-line/-/widest-line-4.0.1.tgz",
       "integrity": "sha512-o0cyEG0e8GPzT4iGHphIOh0cJOV8fivsXxddQasHPHfoZf1ZexrfeA21w2NaEN1RHE+fXlfISmOE8R9N3u3Qig==",
+      "license": "MIT",
       "dependencies": {
         "string-width": "^5.0.1"
       },
@@ -23544,12 +23042,14 @@
     "node_modules/wildcard": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/wildcard/-/wildcard-2.0.1.tgz",
-      "integrity": "sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ=="
+      "integrity": "sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ==",
+      "license": "MIT"
     },
     "node_modules/wrap-ansi": {
       "version": "8.1.0",
       "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
       "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "license": "MIT",
       "dependencies": {
         "ansi-styles": "^6.1.0",
         "string-width": "^5.0.1",
@@ -23601,9 +23101,10 @@
       }
     },
     "node_modules/wrap-ansi/node_modules/ansi-regex": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz",
-      "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.1.0.tgz",
+      "integrity": "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA==",
+      "license": "MIT",
       "engines": {
         "node": ">=12"
       },
@@ -23615,6 +23116,7 @@
       "version": "6.2.1",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
       "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+      "license": "MIT",
       "engines": {
         "node": ">=12"
       },
@@ -23626,6 +23128,7 @@
       "version": "7.1.0",
       "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
       "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
+      "license": "MIT",
       "dependencies": {
         "ansi-regex": "^6.0.1"
       },
@@ -23639,12 +23142,14 @@
     "node_modules/wrappy": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
-      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "license": "ISC"
     },
     "node_modules/write-file-atomic": {
       "version": "3.0.3",
       "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-3.0.3.tgz",
       "integrity": "sha512-AvHcyZ5JnSfq3ioSyjrBkH9yW4m7Ayk8/9My/DD9onKeu/94fwrMocemO2QAJFAlnnDN+ZDS+ZjAR5ua1/PV/Q==",
+      "license": "ISC",
       "dependencies": {
         "imurmurhash": "^0.1.4",
         "is-typedarray": "^1.0.0",
@@ -23677,6 +23182,7 @@
       "version": "5.1.0",
       "resolved": "https://registry.npmjs.org/xdg-basedir/-/xdg-basedir-5.1.0.tgz",
       "integrity": "sha512-GCPAHLvrIH13+c0SuacwvRYj2SxJXQ4kaVTT5xgL3kPrz56XxkF21IGhjSE1+W0aw7gpBWRGXLCPnPby6lSpmQ==",
+      "license": "MIT",
       "engines": {
         "node": ">=12"
       },
@@ -23717,15 +23223,6 @@
         "node": ">= 10"
       }
     },
-    "node_modules/xtend": {
-      "version": "4.0.2",
-      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
-      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
-      "license": "MIT",
-      "engines": {
-        "node": ">=0.4"
-      }
-    },
     "node_modules/y18n": {
       "version": "5.0.8",
       "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
@@ -23745,6 +23242,7 @@
       "version": "1.10.2",
       "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
       "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "license": "ISC",
       "engines": {
         "node": ">= 6"
       }
@@ -23803,9 +23301,9 @@
       }
     },
     "node_modules/yocto-queue": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.1.1.tgz",
-      "integrity": "sha512-b4JR1PFR10y1mKjhHY9LaGo6tmrgjit7hxVIeAmyMw3jegXR4dhYqLaQF5zMXZxY7tLpMyJeLjr1C4rLmkVe8g==",
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.2.1.tgz",
+      "integrity": "sha512-AyeEbWOu/TAXdxlV9wmGcR0+yh2j3vYPGOECcIj2S7MkrLyC7ne+oye2BKTItt0ii2PHk4cDy+95+LshzbXnGg==",
       "license": "MIT",
       "engines": {
         "node": ">=12.20"
diff --git a/docs/package.json b/docs/package.json
index 82b4230d1..4cc8a7eac 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -17,9 +17,9 @@
     "write-heading-ids": "docusaurus write-heading-ids"
   },
   "dependencies": {
-    "@docusaurus/core": "^3.6.3",
+    "@docusaurus/core": "^3.7.0",
     "@docusaurus/plugin-content-docs": "^3.6.3",
-    "@docusaurus/preset-classic": "^3.6.3",
+    "@docusaurus/preset-classic": "^3.7.0",
     "@docusaurus/theme-mermaid": "^3.6.3",
     "@inkeep/docusaurus": "^2.0.16",
     "@mdx-js/react": "^3.1.0",
diff --git a/docs/sidebars.ts b/docs/sidebars.ts
index 20ae2b0ac..e3de4d478 100644
--- a/docs/sidebars.ts
+++ b/docs/sidebars.ts
@@ -1,6 +1,6 @@
-import type { SidebarsConfig, } from '@docusaurus/plugin-content-docs';
-import { PropSidebarItemLink } from '@docusaurus/plugin-content-docs';
-import frigateHttpApiSidebar from './docs/integrations/api/sidebar';
+import type { SidebarsConfig } from "@docusaurus/plugin-content-docs";
+import { PropSidebarItemLink } from "@docusaurus/plugin-content-docs";
+import frigateHttpApiSidebar from "./docs/integrations/api/sidebar";
 
 const sidebars: SidebarsConfig = {
   docs: {
@@ -15,76 +15,83 @@ const sidebars: SidebarsConfig = {
       'frigate/glossary',
     ],
     Guides: [
-      'guides/getting_started',
-      'guides/configuring_go2rtc',
-      'guides/ha_notifications',
-      'guides/ha_network_storage',
-      'guides/reverse_proxy',
+      "guides/getting_started",
+      "guides/configuring_go2rtc",
+      "guides/ha_notifications",
+      "guides/ha_network_storage",
+      "guides/reverse_proxy",
     ],
     Configuration: {
-      'Configuration Files': [
-        'configuration/index',
-        'configuration/reference',
+      "Configuration Files": [
+        "configuration/index",
+        "configuration/reference",
         {
-          type: 'link',
-          label: 'Go2RTC Configuration Reference',
-          href: 'https://github.com/AlexxIT/go2rtc/tree/v1.9.2#configuration',
+          type: "link",
+          label: "Go2RTC Configuration Reference",
+          href: "https://github.com/AlexxIT/go2rtc/tree/v1.9.9#configuration",
         } as PropSidebarItemLink,
       ],
       Detectors: [
-        'configuration/object_detectors',
-        'configuration/audio_detectors',
+        "configuration/object_detectors",
+        "configuration/audio_detectors",
       ],
-      'Semantic Search': [
-        'configuration/semantic_search',
-        'configuration/genai',
+      Enrichments: [
+        "configuration/semantic_search",
+        "configuration/genai",
+        "configuration/face_recognition",
+        "configuration/license_plate_recognition",
+        "configuration/bird_classification",
       ],
       Cameras: [
-        'configuration/cameras',
-        'configuration/review',
-        'configuration/record',
-        'configuration/snapshots',
-        'configuration/motion_detection',
-        'configuration/birdseye',
-        'configuration/live',
-        'configuration/restream',
-        'configuration/autotracking',
-        'configuration/camera_specific',
+        "configuration/cameras",
+        "configuration/review",
+        "configuration/record",
+        "configuration/snapshots",
+        "configuration/motion_detection",
+        "configuration/birdseye",
+        "configuration/live",
+        "configuration/restream",
+        "configuration/autotracking",
+        "configuration/camera_specific",
       ],
       Objects: [
-        'configuration/object_filters',
-        'configuration/masks',
-        'configuration/zones',
-        'configuration/objects',
-        'configuration/stationary_objects',
+        "configuration/object_filters",
+        "configuration/masks",
+        "configuration/zones",
+        "configuration/objects",
+        "configuration/stationary_objects",
       ],
-      'Extra Configuration': [
-        'configuration/authentication',
-        'configuration/notifications',
-        'configuration/hardware_acceleration',
-        'configuration/ffmpeg_presets',
+      "Hardware Acceleration": [
+        "configuration/hardware_acceleration_video",
+        "configuration/hardware_acceleration_enrichments",
+      ],
+      "Extra Configuration": [
+        "configuration/authentication",
+        "configuration/notifications",
+        "configuration/ffmpeg_presets",
         "configuration/pwa",
-        'configuration/tls',
-        'configuration/advanced',
+        "configuration/tls",
+        "configuration/advanced",
       ],
     },
     Integrations: [
-      'integrations/plus',
-      'integrations/home-assistant',
+      "integrations/plus",
+      "integrations/home-assistant",
       // This is the HTTP API generated by OpenAPI
       {
-        type: 'category',
-        label: 'HTTP API',
+        type: "category",
+        label: "HTTP API",
         link: {
-          type: 'generated-index',
-          title: 'Frigate HTTP API',
-          description: 'HTTP API',
-          slug: '/integrations/api/frigate-http-api',
+          type: "generated-index",
+          title: "Frigate HTTP API",
+          description: "HTTP API",
+          slug: "/integrations/api/frigate-http-api",
         },
         items: frigateHttpApiSidebar,
       },
-      'integrations/mqtt',
-      'integrations/third_party_extensions',
+      "integrations/mqtt",
+      "configuration/metrics",
+      "integrations/third_party_extensions",
     ],
     'Frigate+': [
       'plus/index',
@@ -93,13 +100,14 @@ const sidebars: SidebarsConfig = {
       'plus/faq',
     ],
     Troubleshooting: [
-      'troubleshooting/faqs',
-      'troubleshooting/recordings',
-      'troubleshooting/edgetpu',
+      "troubleshooting/faqs",
+      "troubleshooting/recordings",
+      "troubleshooting/gpu",
+      "troubleshooting/edgetpu",
     ],
     Development: [
-      'development/contributing',
-      'development/contributing-boards',
+      "development/contributing",
+      "development/contributing-boards",
     ],
   },
 };
diff --git a/docs/src/components/LanguageAlert/index.jsx b/docs/src/components/LanguageAlert/index.jsx
new file mode 100644
index 000000000..b786c8a93
--- /dev/null
+++ b/docs/src/components/LanguageAlert/index.jsx
@@ -0,0 +1,25 @@
+import React, { useEffect, useState } from 'react';
+import { useLocation } from '@docusaurus/router';
+import styles from './styles.module.css';
+
+export default function LanguageAlert() {
+  const [showAlert, setShowAlert] = useState(false);
+  const { pathname } = useLocation();
+
+  useEffect(() => {
+    const userLanguage = navigator?.language || 'en';
+    const isChineseUser = userLanguage.includes('zh');
+    setShowAlert(isChineseUser);
+    
+  }, [pathname]);
+
+  if (!showAlert) return null;
+
+  return (
+    <div className={styles.alert}>
+      <span>检测到您的主要语言为中文，您可以访问由中文社区翻译的</span>
+      <a href={'https://docs.frigate-cn.video'+pathname}>中文文档</a>
+      <span> 以获得更好的体验</span>
+    </div>
+  );
+}
\ No newline at end of file
diff --git a/docs/src/components/LanguageAlert/styles.module.css b/docs/src/components/LanguageAlert/styles.module.css
new file mode 100644
index 000000000..f8d1e8eb2
--- /dev/null
+++ b/docs/src/components/LanguageAlert/styles.module.css
@@ -0,0 +1,13 @@
+.alert {
+    padding: 12px;
+    background: #fff8e6;
+    border-bottom: 1px solid #ffd166;
+    text-align: center;
+    font-size: 15px;
+  }
+  
+  .alert a {
+    color: #1890ff;
+    font-weight: 500;
+    margin-left: 6px;
+  }
\ No newline at end of file
diff --git a/docs/src/theme/Navbar/index.js b/docs/src/theme/Navbar/index.js
new file mode 100644
index 000000000..4dd3aee15
--- /dev/null
+++ b/docs/src/theme/Navbar/index.js
@@ -0,0 +1,15 @@
+import React from 'react';
+import NavbarLayout from '@theme/Navbar/Layout';
+import NavbarContent from '@theme/Navbar/Content';
+import LanguageAlert from '../../components/LanguageAlert';
+
+export default function Navbar() {
+  return (
+    <>
+      <NavbarLayout>
+        <NavbarContent />
+      </NavbarLayout>
+      <LanguageAlert />
+    </>
+  );
+}
\ No newline at end of file
diff --git a/docs/static/frigate-api.yaml b/docs/static/frigate-api.yaml
index e05330a9d..3df025d9f 100644
--- a/docs/static/frigate-api.yaml
+++ b/docs/static/frigate-api.yaml
@@ -105,7 +105,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/users/{username}":
+  /users/{username}:
     delete:
       tags:
         - Auth
@@ -130,7 +130,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/users/{username}/password":
+  /users/{username}/password:
     put:
       tags:
         - Auth
@@ -161,6 +161,284 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
+  /users/{username}/role:
+    put:
+      tags:
+        - Auth
+      summary: Update Role
+      operationId: update_role_users__username__role_put
+      parameters:
+        - name: username
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Username
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/AppPutRoleBody"
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces:
+    get:
+      tags:
+        - Events
+      summary: Get Faces
+      operationId: get_faces_faces_get
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+  /faces/reprocess:
+    post:
+      tags:
+        - Events
+      summary: Reclassify Face
+      operationId: reclassify_face_faces_reprocess_post
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
+              title: Body
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/train/{name}/classify:
+    post:
+      tags:
+        - Events
+      summary: Train Face
+      operationId: train_face_faces_train__name__classify_post
+      parameters:
+        - name: name
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Name
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
+              title: Body
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/{name}/create:
+    post:
+      tags:
+        - Events
+      summary: Create Face
+      operationId: create_face_faces__name__create_post
+      parameters:
+        - name: name
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Name
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/{name}/register:
+    post:
+      tags:
+        - Events
+      summary: Register Face
+      operationId: register_face_faces__name__register_post
+      parameters:
+        - name: name
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Name
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: >-
+                #/components/schemas/Body_register_face_faces__name__register_post
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/recognize:
+    post:
+      tags:
+        - Events
+      summary: Recognize Face
+      operationId: recognize_face_faces_recognize_post
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/Body_recognize_face_faces_recognize_post"
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/{name}/delete:
+    post:
+      tags:
+        - Events
+      summary: Deregister Faces
+      operationId: deregister_faces_faces__name__delete_post
+      parameters:
+        - name: name
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Name
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
+              title: Body
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /faces/{old_name}/rename:
+    put:
+      tags:
+        - Events
+      summary: Rename Face
+      operationId: rename_face_faces__old_name__rename_put
+      parameters:
+        - name: old_name
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Old Name
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/RenameFaceBody"
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /lpr/reprocess:
+    put:
+      tags:
+        - Events
+      summary: Reprocess License Plate
+      operationId: reprocess_license_plate_lpr_reprocess_put
+      parameters:
+        - name: event_id
+          in: query
+          required: true
+          schema:
+            type: string
+            title: Event Id
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /reindex:
+    put:
+      tags:
+        - Events
+      summary: Reindex Embeddings
+      operationId: reindex_embeddings_reindex_put
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
   /review:
     get:
       tags:
@@ -206,9 +484,7 @@ paths:
           in: query
           required: false
           schema:
-            allOf:
-              - $ref: "#/components/schemas/SeverityEnum"
-            title: Severity
+            $ref: "#/components/schemas/SeverityEnum"
         - name: before
           in: query
           required: false
@@ -237,6 +513,35 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
+  /review_ids:
+    get:
+      tags:
+        - Review
+      summary: Review Ids
+      operationId: review_ids_review_ids_get
+      parameters:
+        - name: ids
+          in: query
+          required: true
+          schema:
+            type: string
+            title: Ids
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                type: array
+                items:
+                  $ref: "#/components/schemas/ReviewSegmentResponse"
+                title: Response Review Ids Review Ids Get
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/summary:
     get:
       tags:
@@ -385,7 +690,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/review/event/{event_id}":
+  /review/event/{event_id}:
     get:
       tags:
         - Review
@@ -411,7 +716,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/review/{review_id}":
+  /review/{review_id}:
     get:
       tags:
         - Review
@@ -437,7 +742,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/review/{review_id}/viewed":
+  /review/{review_id}/viewed:
     delete:
       tags:
         - Review
@@ -500,7 +805,7 @@ paths:
           content:
             application/json:
               schema: {}
-  "/go2rtc/streams/{camera_name}":
+  /go2rtc/streams/{camera_name}:
     get:
       tags:
         - App
@@ -575,6 +880,19 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
+  /metrics:
+    get:
+      tags:
+        - App
+      summary: Metrics
+      description: Expose Prometheus metrics endpoint and update metrics with latest stats
+      operationId: metrics_metrics_get
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
   /config:
     get:
       tags:
@@ -704,7 +1022,7 @@ paths:
           content:
             application/json:
               schema: {}
-  "/logs/{service}":
+  /logs/{service}:
     get:
       tags:
         - App
@@ -731,6 +1049,15 @@ paths:
               - type: string
               - type: "null"
             title: Download
+        - name: stream
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: boolean
+              - type: "null"
+            default: false
+            title: Stream
         - name: start
           in: query
           required: false
@@ -825,6 +1152,59 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
+  /plus/models:
+    get:
+      tags:
+        - App
+      summary: Plusmodels
+      operationId: plusModels_plus_models_get
+      parameters:
+        - name: filterByCurrentModelDetector
+          in: query
+          required: false
+          schema:
+            type: boolean
+            default: false
+            title: Filterbycurrentmodeldetector
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /recognized_license_plates:
+    get:
+      tags:
+        - App
+      summary: Get Recognized License Plates
+      operationId: get_recognized_license_plates_recognized_license_plates_get
+      parameters:
+        - name: split_joined
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: integer
+              - type: "null"
+            title: Split Joined
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
   /timeline:
     get:
       tags:
@@ -938,7 +1318,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/preview/{camera_name}/start/{start_ts}/end/{end_ts}":
+  /preview/{camera_name}/start/{start_ts}/end/{end_ts}:
     get:
       tags:
         - Preview
@@ -976,7 +1356,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/preview/{year_month}/{day}/{hour}/{camera_name}/{tz_name}":
+  /preview/{year_month}/{day}/{hour}/{camera_name}/{tz_name}:
     get:
       tags:
         - Preview
@@ -1027,7 +1407,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/preview/{camera_name}/start/{start_ts}/end/{end_ts}/frames":
+  /preview/{camera_name}/start/{start_ts}/end/{end_ts}/frames:
     get:
       tags:
         - Preview
@@ -1114,7 +1494,7 @@ paths:
           content:
             application/json:
               schema: {}
-  "/export/{camera_name}/start/{start_time}/end/{end_time}":
+  /export/{camera_name}/start/{start_time}/end/{end_time}:
     post:
       tags:
         - Export
@@ -1158,12 +1538,12 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/export/{event_id}/{new_name}":
+  /export/{event_id}/rename:
     patch:
       tags:
         - Export
       summary: Export Rename
-      operationId: export_rename_export__event_id___new_name__patch
+      operationId: export_rename_export__event_id__rename_patch
       parameters:
         - name: event_id
           in: path
@@ -1171,12 +1551,12 @@ paths:
           schema:
             type: string
             title: Event Id
-        - name: new_name
-          in: path
-          required: true
-          schema:
-            type: string
-            title: New Name
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ExportRenameBody"
       responses:
         "200":
           description: Successful Response
@@ -1189,7 +1569,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/export/{event_id}":
+  /export/{event_id}:
     delete:
       tags:
         - Export
@@ -1214,7 +1594,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/exports/{export_id}":
+  /exports/{export_id}:
     get:
       tags:
         - Export
@@ -1350,7 +1730,7 @@ paths:
             anyOf:
               - type: string
               - type: "null"
-            default: "00:00,24:00"
+            default: 00:00,24:00
             title: Time Range
         - name: has_clip
           in: query
@@ -1409,6 +1789,31 @@ paths:
               - type: number
               - type: "null"
             title: Max Score
+        - name: min_speed
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: number
+              - type: "null"
+            title: Min Speed
+        - name: max_speed
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: number
+              - type: "null"
+            title: Max Speed
+        - name: recognized_license_plate
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: "null"
+            default: all
+            title: Recognized License Plate
         - name: is_submitted
           in: query
           required: false
@@ -1633,7 +2038,7 @@ paths:
             anyOf:
               - type: string
               - type: "null"
-            default: "00:00,24:00"
+            default: 00:00,24:00
             title: Time Range
         - name: has_clip
           in: query
@@ -1684,6 +2089,31 @@ paths:
               - type: number
               - type: "null"
             title: Max Score
+        - name: min_speed
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: number
+              - type: "null"
+            title: Min Speed
+        - name: max_speed
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: number
+              - type: "null"
+            title: Max Speed
+        - name: recognized_license_plate
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: "null"
+            default: all
+            title: Recognized License Plate
         - name: sort
           in: query
           required: false
@@ -1748,7 +2178,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}":
+  /events/{event_id}:
     get:
       tags:
         - Events
@@ -1799,7 +2229,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/retain":
+  /events/{event_id}/retain:
     post:
       tags:
         - Events
@@ -1850,7 +2280,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/plus":
+  /events/{event_id}/plus:
     post:
       tags:
         - Events
@@ -1867,9 +2297,7 @@ paths:
         content:
           application/json:
             schema:
-              allOf:
-                - $ref: "#/components/schemas/SubmitPlusBody"
-              title: Body
+              $ref: "#/components/schemas/SubmitPlusBody"
       responses:
         "200":
           description: Successful Response
@@ -1883,7 +2311,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/false_positive":
+  /events/{event_id}/false_positive:
     put:
       tags:
         - Events
@@ -1909,7 +2337,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/sub_label":
+  /events/{event_id}/sub_label:
     post:
       tags:
         - Events
@@ -1941,7 +2369,39 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/description":
+  /events/{event_id}/recognized_license_plate:
+    post:
+      tags:
+        - Events
+      summary: Set Plate
+      operationId: set_plate_events__event_id__recognized_license_plate_post
+      parameters:
+        - name: event_id
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Event Id
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/EventsLPRBody"
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /events/{event_id}/description:
     post:
       tags:
         - Events
@@ -1973,7 +2433,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/description/regenerate":
+  /events/{event_id}/description/regenerate:
     put:
       tags:
         - Events
@@ -2033,7 +2493,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{camera_name}/{label}/create":
+  /events/{camera_name}/{label}/create:
     post:
       tags:
         - Events
@@ -2056,15 +2516,13 @@ paths:
         content:
           application/json:
             schema:
-              allOf:
-                - $ref: "#/components/schemas/EventsCreateBody"
+              $ref: "#/components/schemas/EventsCreateBody"
               default:
                 source_type: api
                 score: 0
                 duration: 30
                 include_recording: true
                 draw: {}
-              title: Body
       responses:
         "200":
           description: Successful Response
@@ -2078,7 +2536,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/end":
+  /events/{event_id}/end:
     put:
       tags:
         - Events
@@ -2110,7 +2568,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}":
+  /{camera_name}:
     get:
       tags:
         - Media
@@ -2197,7 +2655,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/ptz/info":
+  /{camera_name}/ptz/info:
     get:
       tags:
         - Media
@@ -2222,7 +2680,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/latest.{extension}":
+  /{camera_name}/latest.{extension}:
     get:
       tags:
         - Media
@@ -2305,6 +2763,14 @@ paths:
               - type: integer
               - type: "null"
             title: Height
+        - name: store
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: integer
+              - type: "null"
+            title: Store
       responses:
         "200":
           description: Successful Response
@@ -2317,7 +2783,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/recordings/{frame_time}/snapshot.{format}":
+  /{camera_name}/recordings/{frame_time}/snapshot.{format}:
     get:
       tags:
         - Media
@@ -2364,7 +2830,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/plus/{frame_time}":
+  /{camera_name}/plus/{frame_time}:
     post:
       tags:
         - Media
@@ -2407,7 +2873,43 @@ paths:
           content:
             application/json:
               schema: {}
-  "/{camera_name}/recordings/summary":
+  /recordings/summary:
+    get:
+      tags:
+        - Media
+      summary: All Recordings Summary
+      description: Returns true/false by day indicating if recordings exist
+      operationId: all_recordings_summary_recordings_summary_get
+      parameters:
+        - name: timezone
+          in: query
+          required: false
+          schema:
+            type: string
+            default: utc
+            title: Timezone
+        - name: cameras
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: "null"
+            default: all
+            title: Cameras
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /{camera_name}/recordings/summary:
     get:
       tags:
         - Media
@@ -2440,13 +2942,13 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/recordings":
+  /{camera_name}/recordings:
     get:
       tags:
         - Media
       summary: Recordings
       description: >-
-        Return specific camera recordings between the given 'after'/'end' times.
+        Return specific camera recordings between the given "after"/"end" times.
         If not provided the last hour will be used
       operationId: recordings__camera_name__recordings_get
       parameters:
@@ -2461,14 +2963,14 @@ paths:
           required: false
           schema:
             type: number
-            default: 1733228876.15567
+            default: 1752611870.43948
             title: After
         - name: before
           in: query
           required: false
           schema:
             type: number
-            default: 1733232476.15567
+            default: 1752615470.43949
             title: Before
       responses:
         "200":
@@ -2482,11 +2984,14 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4":
+  /{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4:
     get:
       tags:
         - Media
       summary: Recording Clip
+      description: >-
+        For iOS devices, use the master.m3u8 HLS link instead of clip.mp4.
+        Safari does not reliably process progressive mp4 files.
       operationId: recording_clip__camera_name__start__start_ts__end__end_ts__clip_mp4_get
       parameters:
         - name: camera_name
@@ -2519,11 +3024,14 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/vod/{camera_name}/start/{start_ts}/end/{end_ts}":
+  /vod/{camera_name}/start/{start_ts}/end/{end_ts}:
     get:
       tags:
         - Media
       summary: Vod Ts
+      description: >-
+        Returns an HLS playlist for the specified timestamp-range on the
+        specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.
       operationId: vod_ts_vod__camera_name__start__start_ts__end__end_ts__get
       parameters:
         - name: camera_name
@@ -2556,12 +3064,14 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/vod/{year_month}/{day}/{hour}/{camera_name}":
+  /vod/{year_month}/{day}/{hour}/{camera_name}:
     get:
       tags:
         - Media
       summary: Vod Hour No Timezone
-      description: VOD for specific hour. Uses the default timezone (UTC).
+      description: >-
+        Returns an HLS playlist for the specified date-time on the specified
+        camera. Append /master.m3u8 or /index.m3u8 for HLS playback.
       operationId: vod_hour_no_timezone_vod__year_month___day___hour___camera_name__get
       parameters:
         - name: year_month
@@ -2600,11 +3110,15 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/vod/{year_month}/{day}/{hour}/{camera_name}/{tz_name}":
+  /vod/{year_month}/{day}/{hour}/{camera_name}/{tz_name}:
     get:
       tags:
         - Media
       summary: Vod Hour
+      description: >-
+        Returns an HLS playlist for the specified date-time (with timezone) on
+        the specified camera. Append /master.m3u8 or /index.m3u8 for HLS
+        playback.
       operationId: vod_hour_vod__year_month___day___hour___camera_name___tz_name__get
       parameters:
         - name: year_month
@@ -2649,11 +3163,14 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/vod/event/{event_id}":
+  /vod/event/{event_id}:
     get:
       tags:
         - Media
       summary: Vod Event
+      description: >-
+        Returns an HLS playlist for the specified object. Append /master.m3u8 or
+        /index.m3u8 for HLS playback.
       operationId: vod_event_vod_event__event_id__get
       parameters:
         - name: event_id
@@ -2674,11 +3191,15 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/snapshot.jpg":
+  /events/{event_id}/snapshot.jpg:
     get:
       tags:
         - Media
       summary: Event Snapshot
+      description: >-
+        Returns a snapshot image for the specified object id. NOTE: The query
+        params only take affect while the event is in-progress. Once the event
+        has ended the snapshot configuration is used.
       operationId: event_snapshot_events__event_id__snapshot_jpg_get
       parameters:
         - name: event_id
@@ -2749,12 +3270,12 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/thumbnail.jpg":
+  /events/{event_id}/thumbnail.{extension}:
     get:
       tags:
         - Media
       summary: Event Thumbnail
-      operationId: event_thumbnail_events__event_id__thumbnail_jpg_get
+      operationId: event_thumbnail_events__event_id__thumbnail__extension__get
       parameters:
         - name: event_id
           in: path
@@ -2762,6 +3283,12 @@ paths:
           schema:
             type: string
             title: Event Id
+        - name: extension
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Extension
         - name: max_cache_age
           in: query
           required: false
@@ -2793,7 +3320,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/grid.jpg":
+  /{camera_name}/grid.jpg:
     get:
       tags:
         - Media
@@ -2832,7 +3359,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/snapshot-clean.png":
+  /events/{event_id}/snapshot-clean.png:
     get:
       tags:
         - Media
@@ -2864,7 +3391,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/clip.mp4":
+  /events/{event_id}/clip.mp4:
     get:
       tags:
         - Media
@@ -2889,7 +3416,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/events/{event_id}/preview.gif":
+  /events/{event_id}/preview.gif:
     get:
       tags:
         - Media
@@ -2914,7 +3441,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/start/{start_ts}/end/{end_ts}/preview.gif":
+  /{camera_name}/start/{start_ts}/end/{end_ts}/preview.gif:
     get:
       tags:
         - Media
@@ -2960,7 +3487,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/start/{start_ts}/end/{end_ts}/preview.mp4":
+  /{camera_name}/start/{start_ts}/end/{end_ts}/preview.mp4:
     get:
       tags:
         - Media
@@ -3006,7 +3533,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/review/{event_id}/preview":
+  /review/{event_id}/preview:
     get:
       tags:
         - Media
@@ -3041,7 +3568,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/preview/{file_name}/thumbnail.webp":
+  /preview/{file_name}/thumbnail.webp:
     get:
       tags:
         - Media
@@ -3067,7 +3594,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/preview/{file_name}/thumbnail.jpg":
+  /preview/{file_name}/thumbnail.jpg:
     get:
       tags:
         - Media
@@ -3093,7 +3620,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/{label}/thumbnail.jpg":
+  /{camera_name}/{label}/thumbnail.jpg:
     get:
       tags:
         - Media
@@ -3124,7 +3651,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/{label}/best.jpg":
+  /{camera_name}/{label}/best.jpg:
     get:
       tags:
         - Media
@@ -3155,7 +3682,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/{label}/clip.mp4":
+  /{camera_name}/{label}/clip.mp4:
     get:
       tags:
         - Media
@@ -3186,7 +3713,7 @@ paths:
             application/json:
               schema:
                 $ref: "#/components/schemas/HTTPValidationError"
-  "/{camera_name}/{label}/snapshot.jpg":
+  /{camera_name}/{label}/snapshot.jpg:
     get:
       tags:
         - Media
@@ -3251,6 +3778,12 @@ components:
         password:
           type: string
           title: Password
+        role:
+          anyOf:
+            - type: string
+            - type: "null"
+          title: Role
+          default: viewer
       type: object
       required:
         - username
@@ -3265,6 +3798,35 @@ components:
       required:
         - password
       title: AppPutPasswordBody
+    AppPutRoleBody:
+      properties:
+        role:
+          type: string
+          title: Role
+      type: object
+      required:
+        - role
+      title: AppPutRoleBody
+    Body_recognize_face_faces_recognize_post:
+      properties:
+        file:
+          type: string
+          format: binary
+          title: File
+      type: object
+      required:
+        - file
+      title: Body_recognize_face_faces_recognize_post
+    Body_register_face_faces__name__register_post:
+      properties:
+        file:
+          type: string
+          format: binary
+          title: File
+      type: object
+      required:
+        - file
+      title: Body_register_face_faces__name__register_post
     DayReview:
       properties:
         day:
@@ -3354,7 +3916,9 @@ components:
             - type: "null"
           title: End Time
         false_positive:
-          type: boolean
+          anyOf:
+            - type: boolean
+            - type: "null"
           title: False Positive
         zones:
           items:
@@ -3362,7 +3926,9 @@ components:
           type: array
           title: Zones
         thumbnail:
-          type: string
+          anyOf:
+            - type: string
+            - type: "null"
           title: Thumbnail
         has_clip:
           type: boolean
@@ -3394,6 +3960,7 @@ components:
             - type: "null"
           title: Model Type
         data:
+          type: object
           title: Data
       type: object
       required:
@@ -3498,6 +4065,23 @@ components:
           title: End Time
       type: object
       title: EventsEndBody
+    EventsLPRBody:
+      properties:
+        recognizedLicensePlate:
+          type: string
+          maxLength: 100
+          title: Recognized License Plate
+        recognizedLicensePlateScore:
+          anyOf:
+            - type: number
+              maximum: 1
+              exclusiveMinimum: 0
+            - type: "null"
+          title: Score for recognized license plate
+      type: object
+      required:
+        - recognizedLicensePlate
+      title: EventsLPRBody
     EventsSubLabelBody:
       properties:
         subLabel:
@@ -3511,6 +4095,11 @@ components:
               exclusiveMinimum: 0
             - type: "null"
           title: Score for sub label
+        camera:
+          anyOf:
+            - type: string
+            - type: "null"
+          title: Camera this object is detected on.
       type: object
       required:
         - subLabel
@@ -3518,13 +4107,11 @@ components:
     ExportRecordingsBody:
       properties:
         playback:
-          allOf:
-            - $ref: "#/components/schemas/PlaybackFactorEnum"
+          $ref: "#/components/schemas/PlaybackFactorEnum"
           title: Playback factor
           default: realtime
         source:
-          allOf:
-            - $ref: "#/components/schemas/PlaybackSourceEnum"
+          $ref: "#/components/schemas/PlaybackSourceEnum"
           title: Playback source
           default: recordings
         name:
@@ -3536,6 +4123,16 @@ components:
           title: Image Path
       type: object
       title: ExportRecordingsBody
+    ExportRenameBody:
+      properties:
+        name:
+          type: string
+          maxLength: 256
+          title: Friendly name
+      type: object
+      required:
+        - name
+      title: ExportRenameBody
     Extension:
       type: string
       enum:
@@ -3605,6 +4202,15 @@ components:
         - thumbnails
         - snapshot
       title: RegenerateDescriptionEnum
+    RenameFaceBody:
+      properties:
+        new_name:
+          type: string
+          title: New Name
+      type: object
+      required:
+        - new_name
+      title: RenameFaceBody
     ReviewActivityMotionResponse:
       properties:
         start_time:
diff --git a/docs/static/img/ground-plane.jpg b/docs/static/img/ground-plane.jpg
new file mode 100644
index 000000000..f7ea4db2a
Binary files /dev/null and b/docs/static/img/ground-plane.jpg differ
diff --git a/frigate/__main__.py b/frigate/__main__.py
index b086d33b3..4143f7ae6 100644
--- a/frigate/__main__.py
+++ b/frigate/__main__.py
@@ -3,12 +3,15 @@ import faulthandler
 import signal
 import sys
 import threading
+from typing import Union
 
+import ruamel.yaml
 from pydantic import ValidationError
 
 from frigate.app import FrigateApp
 from frigate.config import FrigateConfig
 from frigate.log import setup_logging
+from frigate.util.config import find_config_file
 
 
 def main() -> None:
@@ -42,10 +45,51 @@ def main() -> None:
         print("*************************************************************")
         print("*************************************************************")
         print("***    Config Validation Errors                           ***")
-        print("*************************************************************")
+        print("*************************************************************\n")
+        # Attempt to get the original config file for line number tracking
+        config_path = find_config_file()
+        with open(config_path, "r") as f:
+            yaml_config = ruamel.yaml.YAML()
+            yaml_config.preserve_quotes = True
+            full_config = yaml_config.load(f)
+
         for error in e.errors():
-            location = ".".join(str(item) for item in error["loc"])
-            print(f"{location}: {error['msg']}")
+            error_path = error["loc"]
+
+            current = full_config
+            line_number = "Unknown"
+            last_line_number = "Unknown"
+
+            try:
+                for i, part in enumerate(error_path):
+                    key: Union[int, str] = (
+                        int(part) if isinstance(part, str) and part.isdigit() else part
+                    )
+
+                    if isinstance(current, ruamel.yaml.comments.CommentedMap):
+                        current = current[key]
+                    elif isinstance(current, list):
+                        if isinstance(key, int):
+                            current = current[key]
+
+                    if hasattr(current, "lc"):
+                        last_line_number = current.lc.line
+
+                    if i == len(error_path) - 1:
+                        if hasattr(current, "lc"):
+                            line_number = current.lc.line
+                        else:
+                            line_number = last_line_number
+
+            except Exception as traverse_error:
+                print(f"Could not determine exact line number: {traverse_error}")
+
+            if current != full_config:
+                print(f"Line #  : {line_number}")
+                print(f"Key     : {' -> '.join(map(str, error_path))}")
+                print(f"Value   : {error.get('input', '-')}")
+            print(f"Message : {error.get('msg', error.get('type', 'Unknown'))}\n")
+
         print("*************************************************************")
         print("***    End Config Validation Errors                       ***")
         print("*************************************************************")
diff --git a/frigate/api/app.py b/frigate/api/app.py
index 75b29d566..5860377e7 100644
--- a/frigate/api/app.py
+++ b/frigate/api/app.py
@@ -1,5 +1,6 @@
 """Main api runner."""
 
+import asyncio
 import copy
 import json
 import logging
@@ -7,21 +8,28 @@ import os
 import traceback
 from datetime import datetime, timedelta
 from functools import reduce
+from io import StringIO
+from pathlib import Path as FilePath
 from typing import Any, Optional
 
+import aiofiles
 import requests
+import ruamel.yaml
 from fastapi import APIRouter, Body, Path, Request, Response
 from fastapi.encoders import jsonable_encoder
 from fastapi.params import Depends
-from fastapi.responses import JSONResponse, PlainTextResponse
+from fastapi.responses import JSONResponse, PlainTextResponse, StreamingResponse
 from markupsafe import escape
 from peewee import operator
+from pydantic import ValidationError
 
+from frigate.api.auth import require_role
 from frigate.api.defs.query.app_query_parameters import AppTimelineHourlyQueryParameters
 from frigate.api.defs.request.app_body import AppConfigSetBody
 from frigate.api.defs.tags import Tags
 from frigate.config import FrigateConfig
 from frigate.models import Event, Timeline
+from frigate.stats.prometheus import get_metrics, update_metrics
 from frigate.util.builtin import (
     clean_camera_user_pass,
     get_tz_modifiers,
@@ -31,6 +39,7 @@ from frigate.util.config import find_config_file
 from frigate.util.services import (
     ffprobe_stream,
     get_nvidia_driver_info,
+    process_logs,
     restart_frigate,
     vainfo_hwaccel,
 )
@@ -65,18 +74,22 @@ def go2rtc_streams():
         )
     stream_data = r.json()
     for data in stream_data.values():
-        for producer in data.get("producers", []):
+        for producer in data.get("producers") or []:
             producer["url"] = clean_camera_user_pass(producer.get("url", ""))
     return JSONResponse(content=stream_data)
 
 
 @router.get("/go2rtc/streams/{camera_name}")
-def go2rtc_camera_stream(camera_name: str):
+def go2rtc_camera_stream(request: Request, camera_name: str):
     r = requests.get(
         f"http://127.0.0.1:1984/api/streams?src={camera_name}&video=all&audio=all&microphone"
     )
     if not r.ok:
-        logger.error("Failed to fetch streams from go2rtc")
+        camera_config = request.app.frigate_config.cameras.get(camera_name)
+
+        if camera_config and camera_config.enabled:
+            logger.error("Failed to fetch streams from go2rtc")
+
         return JSONResponse(
             content=({"success": False, "message": "Error fetching stream data"}),
             status_code=500,
@@ -105,10 +118,20 @@ def stats_history(request: Request, keys: str = None):
     return JSONResponse(content=request.app.stats_emitter.get_stats_history(keys))
 
 
+@router.get("/metrics")
+def metrics(request: Request):
+    """Expose Prometheus metrics endpoint and update metrics with latest stats"""
+    # Retrieve the latest statistics and update the Prometheus metrics
+    stats = request.app.stats_emitter.get_latest_stats()
+    update_metrics(stats)
+    content, content_type = get_metrics()
+    return Response(content=content, media_type=content_type)
+
+
 @router.get("/config")
 def config(request: Request):
     config_obj: FrigateConfig = request.app.frigate_config
-    config: dict[str, dict[str, any]] = config_obj.model_dump(
+    config: dict[str, dict[str, Any]] = config_obj.model_dump(
         mode="json", warnings="none", exclude_none=True
     )
 
@@ -135,7 +158,7 @@ def config(request: Request):
             camera_dict["zones"][zone_name]["color"] = zone.color
 
     # remove go2rtc stream passwords
-    go2rtc: dict[str, any] = config_obj.go2rtc.model_dump(
+    go2rtc: dict[str, Any] = config_obj.go2rtc.model_dump(
         mode="json", warnings="none", exclude_none=True
     )
     for stream_name, stream in go2rtc.get("streams", {}).items():
@@ -154,6 +177,23 @@ def config(request: Request):
     config["plus"] = {"enabled": request.app.frigate_config.plus_api.is_active()}
     config["model"]["colormap"] = config_obj.model.colormap
     config["model"]["all_attributes"] = config_obj.model.all_attributes
+    config["model"]["non_logo_attributes"] = config_obj.model.non_logo_attributes
+
+    # Add model plus data if plus is enabled
+    if config["plus"]["enabled"]:
+        model_path = config.get("model", {}).get("path")
+        if model_path:
+            model_json_path = FilePath(model_path).with_suffix(".json")
+            try:
+                with open(model_json_path, "r") as f:
+                    model_plus_data = json.load(f)
+                config["model"]["plus"] = model_plus_data
+            except FileNotFoundError:
+                config["model"]["plus"] = None
+            except json.JSONDecodeError:
+                config["model"]["plus"] = None
+        else:
+            config["model"]["plus"] = None
 
     # use merged labelamp
     for detector_config in config["detectors"].values():
@@ -183,10 +223,9 @@ def config_raw():
         )
 
 
-@router.post("/config/save")
+@router.post("/config/save", dependencies=[Depends(require_role(["admin"]))])
 def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
     new_config = body.decode()
-
     if not new_config:
         return JSONResponse(
             content=(
@@ -197,13 +236,64 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
 
     # Validate the config schema
     try:
+        # Use ruamel to parse and preserve line numbers
+        yaml_config = ruamel.yaml.YAML()
+        yaml_config.preserve_quotes = True
+        full_config = yaml_config.load(StringIO(new_config))
+
         FrigateConfig.parse_yaml(new_config)
+
+    except ValidationError as e:
+        error_message = []
+
+        for error in e.errors():
+            error_path = error["loc"]
+            current = full_config
+            line_number = "Unknown"
+            last_line_number = "Unknown"
+
+            try:
+                for i, part in enumerate(error_path):
+                    key = int(part) if part.isdigit() else part
+
+                    if isinstance(current, ruamel.yaml.comments.CommentedMap):
+                        current = current[key]
+                    elif isinstance(current, list):
+                        current = current[key]
+
+                    if hasattr(current, "lc"):
+                        last_line_number = current.lc.line
+
+                    if i == len(error_path) - 1:
+                        if hasattr(current, "lc"):
+                            line_number = current.lc.line
+                        else:
+                            line_number = last_line_number
+
+            except Exception:
+                line_number = "Unable to determine"
+
+            error_message.append(
+                f"Line {line_number}: {' -> '.join(map(str, error_path))} - {error.get('msg', error.get('type', 'Unknown'))}"
+            )
+
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "Your configuration is invalid.\nSee the official documentation at docs.frigate.video.\n\n"
+                    + "\n".join(error_message),
+                }
+            ),
+            status_code=400,
+        )
+
     except Exception:
         return JSONResponse(
             content=(
                 {
                     "success": False,
-                    "message": f"\nConfig Error:\n\n{escape(str(traceback.format_exc()))}",
+                    "message": f"\nYour configuration is invalid.\nSee the official documentation at docs.frigate.video.\n\n{escape(str(traceback.format_exc()))}",
                 }
             ),
             status_code=400,
@@ -258,7 +348,7 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
         )
 
 
-@router.put("/config/set")
+@router.put("/config/set", dependencies=[Depends(require_role(["admin"]))])
 def config_set(request: Request, body: AppConfigSetBody):
     config_file = find_config_file()
 
@@ -394,9 +484,10 @@ def nvinfo():
 
 
 @router.get("/logs/{service}", tags=[Tags.logs])
-def logs(
+async def logs(
     service: str = Path(enum=["frigate", "nginx", "go2rtc"]),
     download: Optional[str] = None,
+    stream: Optional[bool] = False,
     start: Optional[int] = 0,
     end: Optional[int] = None,
 ):
@@ -415,6 +506,27 @@ def logs(
                 status_code=500,
             )
 
+    async def stream_logs(file_path: str):
+        """Asynchronously stream log lines."""
+        buffer = ""
+        try:
+            async with aiofiles.open(file_path, "r") as file:
+                await file.seek(0, 2)
+                while True:
+                    line = await file.readline()
+                    if line:
+                        buffer += line
+                        # Process logs only when there are enough lines in the buffer
+                        if "\n" in buffer:
+                            _, processed_lines = process_logs(buffer, service)
+                            buffer = ""
+                            for processed_line in processed_lines:
+                                yield f"{processed_line}\n"
+                    else:
+                        await asyncio.sleep(0.1)
+        except FileNotFoundError:
+            yield "Log file not found.\n"
+
     log_locations = {
         "frigate": "/dev/shm/logs/frigate/current",
         "go2rtc": "/dev/shm/logs/go2rtc/current",
@@ -431,48 +543,17 @@ def logs(
     if download:
         return download_logs(service_location)
 
+    if stream:
+        return StreamingResponse(stream_logs(service_location), media_type="text/plain")
+
+    # For full logs initially
     try:
-        file = open(service_location, "r")
-        contents = file.read()
-        file.close()
-
-        # use the start timestamp to group logs together``
-        logLines = []
-        keyLength = 0
-        dateEnd = 0
-        currentKey = ""
-        currentLine = ""
-
-        for rawLine in contents.splitlines():
-            cleanLine = rawLine.strip()
-
-            if len(cleanLine) < 10:
-                continue
-
-            # handle cases where S6 does not include date in log line
-            if "  " not in cleanLine:
-                cleanLine = f"{datetime.now()}  {cleanLine}"
-
-            if dateEnd == 0:
-                dateEnd = cleanLine.index("  ")
-                keyLength = dateEnd - (6 if service_location == "frigate" else 0)
-
-            newKey = cleanLine[0:keyLength]
-
-            if newKey == currentKey:
-                currentLine += f"\n{cleanLine[dateEnd:].strip()}"
-                continue
-            else:
-                if len(currentLine) > 0:
-                    logLines.append(currentLine)
-
-                currentKey = newKey
-                currentLine = cleanLine
-
-        logLines.append(currentLine)
+        async with aiofiles.open(service_location, "r") as file:
+            contents = await file.read()
 
+        total_lines, log_lines = process_logs(contents, service, start, end)
         return JSONResponse(
-            content={"totalLines": len(logLines), "lines": logLines[start:end]},
+            content={"totalLines": total_lines, "lines": log_lines},
             status_code=200,
         )
     except FileNotFoundError as e:
@@ -483,7 +564,7 @@ def logs(
         )
 
 
-@router.post("/restart")
+@router.post("/restart", dependencies=[Depends(require_role(["admin"]))])
 def restart():
     try:
         restart_frigate()
@@ -559,6 +640,83 @@ def get_sub_labels(split_joined: Optional[int] = None):
     return JSONResponse(content=sub_labels)
 
 
+@router.get("/plus/models")
+def plusModels(request: Request, filterByCurrentModelDetector: bool = False):
+    if not request.app.frigate_config.plus_api.is_active():
+        return JSONResponse(
+            content=({"success": False, "message": "Frigate+ is not enabled"}),
+            status_code=400,
+        )
+
+    models: dict[Any, Any] = request.app.frigate_config.plus_api.get_models()
+
+    if not models["list"]:
+        return JSONResponse(
+            content=({"success": False, "message": "No models found"}),
+            status_code=400,
+        )
+
+    modelList = models["list"]
+
+    # current model type
+    modelType = request.app.frigate_config.model.model_type
+
+    # current detectorType for comparing to supportedDetectors
+    detectorType = list(request.app.frigate_config.detectors.values())[0].type
+
+    validModels = []
+
+    for model in sorted(
+        filter(
+            lambda m: (
+                not filterByCurrentModelDetector
+                or (detectorType in m["supportedDetectors"] and modelType in m["type"])
+            ),
+            modelList,
+        ),
+        key=(lambda m: m["trainDate"]),
+        reverse=True,
+    ):
+        validModels.append(model)
+
+    return JSONResponse(content=validModels)
+
+
+@router.get("/recognized_license_plates")
+def get_recognized_license_plates(split_joined: Optional[int] = None):
+    try:
+        events = Event.select(Event.data).distinct()
+    except Exception:
+        return JSONResponse(
+            content=(
+                {"success": False, "message": "Failed to get recognized license plates"}
+            ),
+            status_code=404,
+        )
+
+    recognized_license_plates = []
+    for e in events:
+        if e.data is not None and "recognized_license_plate" in e.data:
+            recognized_license_plates.append(e.data["recognized_license_plate"])
+
+    while None in recognized_license_plates:
+        recognized_license_plates.remove(None)
+
+    if split_joined:
+        original_recognized_license_plates = recognized_license_plates.copy()
+        for recognized_license_plate in original_recognized_license_plates:
+            if recognized_license_plate and "," in recognized_license_plate:
+                recognized_license_plates.remove(recognized_license_plate)
+                parts = recognized_license_plate.split(",")
+                for part in parts:
+                    if part.strip() not in recognized_license_plates:
+                        recognized_license_plates.append(part.strip())
+
+    recognized_license_plates = list(set(recognized_license_plates))
+    recognized_license_plates.sort()
+    return JSONResponse(content=recognized_license_plates)
+
+
 @router.get("/timeline")
 def timeline(camera: str = "all", limit: int = 100, source_id: Optional[str] = None):
     clauses = []
@@ -643,7 +801,7 @@ def hourly_timeline(params: AppTimelineHourlyQueryParameters = Depends()):
     count = 0
     start = 0
     end = 0
-    hours: dict[str, list[dict[str, any]]] = {}
+    hours: dict[str, list[dict[str, Any]]] = {}
 
     for t in timeline:
         if count == 0:
diff --git a/frigate/api/auth.py b/frigate/api/auth.py
index be5917450..9459c4ac8 100644
--- a/frigate/api/auth.py
+++ b/frigate/api/auth.py
@@ -11,8 +11,9 @@ import secrets
 import time
 from datetime import datetime
 from pathlib import Path
+from typing import List
 
-from fastapi import APIRouter, Request, Response
+from fastapi import APIRouter, Depends, HTTPException, Request, Response
 from fastapi.responses import JSONResponse, RedirectResponse
 from joserfc import jwt
 from peewee import DoesNotExist
@@ -22,6 +23,7 @@ from frigate.api.defs.request.app_body import (
     AppPostLoginBody,
     AppPostUsersBody,
     AppPutPasswordBody,
+    AppPutRoleBody,
 )
 from frigate.api.defs.tags import Tags
 from frigate.config import AuthConfig, ProxyConfig
@@ -31,6 +33,7 @@ from frigate.models import User
 logger = logging.getLogger(__name__)
 
 router = APIRouter(tags=[Tags.auth])
+VALID_ROLES = ["admin", "viewer"]
 
 
 class RateLimiter:
@@ -68,7 +71,7 @@ def get_remote_addr(request: Request):
             )
             if trusted_proxy.version == 4:
                 ipv4 = ip.ipv4_mapped if ip.version == 6 else ip
-                if ipv4 in trusted_proxy:
+                if ipv4 is not None and ipv4 in trusted_proxy:
                     trusted = True
                     logger.debug(f"Trusted: {str(ip)} by {str(trusted_proxy)}")
                     break
@@ -107,11 +110,11 @@ def get_jwt_secret() -> str:
         jwt_secret = (
             Path(os.path.join("/run/secrets", JWT_SECRET_ENV_VAR)).read_text().strip()
         )
-    # check for the addon options file
+    # check for the add-on options file
     elif os.path.isfile("/data/options.json"):
         with open("/data/options.json") as f:
             raw_options = f.read()
-        logger.debug("Using jwt secret from Home Assistant addon options file.")
+        logger.debug("Using jwt secret from Home Assistant Add-on options file.")
         options = json.loads(raw_options)
         jwt_secret = options.get("jwt_secret")
 
@@ -134,7 +137,7 @@ def get_jwt_secret() -> str:
             logger.debug("Using jwt secret from .jwt_secret file in config directory.")
             with open(jwt_secret_file) as f:
                 try:
-                    jwt_secret = f.readline()
+                    jwt_secret = f.readline().strip()
                 except Exception:
                     logger.warning(
                         "Unable to read jwt token from .jwt_secret file in config directory. A new jwt token will be created at each startup."
@@ -169,8 +172,10 @@ def verify_password(password, password_hash):
     return secrets.compare_digest(password_hash, compare_hash)
 
 
-def create_encoded_jwt(user, expiration, secret):
-    return jwt.encode({"alg": "HS256"}, {"sub": user, "exp": expiration}, secret)
+def create_encoded_jwt(user, role, expiration, secret):
+    return jwt.encode(
+        {"alg": "HS256"}, {"sub": user, "role": role, "exp": expiration}, secret
+    )
 
 
 def set_jwt_cookie(response: Response, cookie_name, encoded_jwt, expiration, secure):
@@ -184,7 +189,48 @@ def set_jwt_cookie(response: Response, cookie_name, encoded_jwt, expiration, sec
     )
 
 
-# Endpoint for use with nginx auth_request
+async def get_current_user(request: Request):
+    username = request.headers.get("remote-user")
+    role = request.headers.get("remote-role")
+
+    if not username or not role:
+        return JSONResponse(
+            content={"message": "No authorization headers."}, status_code=401
+        )
+
+    return {"username": username, "role": role}
+
+
+def require_role(required_roles: List[str]):
+    async def role_checker(request: Request):
+        proxy_config: ProxyConfig = request.app.frigate_config.proxy
+
+        # Get role from header (could be comma-separated)
+        role_header = request.headers.get("remote-role")
+        roles = (
+            [r.strip() for r in role_header.split(proxy_config.separator)]
+            if role_header
+            else []
+        )
+
+        # Check if we have any roles
+        if not roles:
+            raise HTTPException(status_code=403, detail="Role not provided")
+
+        # Check if any role matches required_roles
+        if not any(role in required_roles for role in roles):
+            raise HTTPException(
+                status_code=403,
+                detail=f"Role {', '.join(roles)} not authorized. Required: {', '.join(required_roles)}",
+            )
+
+        # Return the first matching role
+        return next((role for role in roles if role in required_roles), roles[0])
+
+    return role_checker
+
+
+# Endpoints
 @router.get("/auth")
 def auth(request: Request):
     auth_config: AuthConfig = request.app.frigate_config.auth
@@ -195,6 +241,8 @@ def auth(request: Request):
     # dont require auth if the request is on the internal port
     # this header is set by Frigate's nginx proxy, so it cant be spoofed
     if int(request.headers.get("x-server-port", default=0)) == 5000:
+        success_response.headers["remote-user"] = "anonymous"
+        success_response.headers["remote-role"] = "admin"
         return success_response
 
     fail_response = Response("", status_code=401)
@@ -211,14 +259,29 @@ def auth(request: Request):
     if not auth_config.enabled:
         # pass the user header value from the upstream proxy if a mapping is specified
         # or use anonymous if none are specified
-        if proxy_config.header_map.user is not None:
-            upstream_user_header_value = request.headers.get(
-                proxy_config.header_map.user,
-                default="anonymous",
-            )
-            success_response.headers["remote-user"] = upstream_user_header_value
-        else:
-            success_response.headers["remote-user"] = "anonymous"
+        user_header = proxy_config.header_map.user
+        success_response.headers["remote-user"] = (
+            request.headers.get(user_header, default="anonymous")
+            if user_header
+            else "anonymous"
+        )
+
+        role_header = proxy_config.header_map.role
+        role = (
+            request.headers.get(role_header, default=proxy_config.default_role)
+            if role_header
+            else proxy_config.default_role
+        )
+
+        # if comma-separated with "admin", use "admin",
+        # if comma-separated with "viewer", use "viewer",
+        # else use default role
+
+        roles = [r.strip() for r in role.split(proxy_config.separator)] if role else []
+        success_response.headers["remote-role"] = next(
+            (r for r in VALID_ROLES if r in roles), proxy_config.default_role
+        )
+
         return success_response
 
     # now apply authentication
@@ -251,11 +314,15 @@ def auth(request: Request):
         if "sub" not in token.claims:
             logger.debug("user not set in jwt token")
             return fail_response
+        if "role" not in token.claims:
+            logger.debug("role not set in jwt token")
+            return fail_response
         if "exp" not in token.claims:
             logger.debug("exp not set in jwt token")
             return fail_response
 
         user = token.claims.get("sub")
+        role = token.claims.get("role")
         current_time = int(time.time())
 
         # if the jwt is expired
@@ -283,7 +350,7 @@ def auth(request: Request):
                 return fail_response
             new_expiration = current_time + JWT_SESSION_LENGTH
             new_encoded_jwt = create_encoded_jwt(
-                user, new_expiration, request.app.jwt_token
+                user, role, new_expiration, request.app.jwt_token
             )
             set_jwt_cookie(
                 success_response,
@@ -294,6 +361,7 @@ def auth(request: Request):
             )
 
         success_response.headers["remote-user"] = user
+        success_response.headers["remote-role"] = role
         return success_response
     except Exception as e:
         logger.error(f"Error parsing jwt: {e}")
@@ -302,8 +370,10 @@ def auth(request: Request):
 
 @router.get("/profile")
 def profile(request: Request):
-    username = request.headers.get("remote-user")
-    return JSONResponse(content={"username": username})
+    username = request.headers.get("remote-user", "anonymous")
+    role = request.headers.get("remote-role", "viewer")
+
+    return JSONResponse(content={"username": username, "role": role})
 
 
 @router.get("/logout")
@@ -333,8 +403,11 @@ def login(request: Request, body: AppPostLoginBody):
 
     password_hash = db_user.password_hash
     if verify_password(password, password_hash):
+        role = getattr(db_user, "role", "viewer")
+        if role not in VALID_ROLES:
+            role = "viewer"  # Enforce valid roles
         expiration = int(time.time()) + JWT_SESSION_LENGTH
-        encoded_jwt = create_encoded_jwt(user, expiration, request.app.jwt_token)
+        encoded_jwt = create_encoded_jwt(user, role, expiration, request.app.jwt_token)
         response = Response("", 200)
         set_jwt_cookie(
             response, JWT_COOKIE_NAME, encoded_jwt, expiration, JWT_COOKIE_SECURE
@@ -343,25 +416,31 @@ def login(request: Request, body: AppPostLoginBody):
     return JSONResponse(content={"message": "Login failed"}, status_code=401)
 
 
-@router.get("/users")
+@router.get("/users", dependencies=[Depends(require_role(["admin"]))])
 def get_users():
-    exports = User.select(User.username).order_by(User.username).dicts().iterator()
+    exports = (
+        User.select(User.username, User.role).order_by(User.username).dicts().iterator()
+    )
     return JSONResponse([e for e in exports])
 
 
-@router.post("/users")
-def create_user(request: Request, body: AppPostUsersBody):
+@router.post("/users", dependencies=[Depends(require_role(["admin"]))])
+def create_user(
+    request: Request,
+    body: AppPostUsersBody,
+):
     HASH_ITERATIONS = request.app.frigate_config.auth.hash_iterations
 
     if not re.match("^[A-Za-z0-9._]+$", body.username):
-        JSONResponse(content={"message": "Invalid username"}, status_code=400)
+        return JSONResponse(content={"message": "Invalid username"}, status_code=400)
 
+    role = body.role if body.role in VALID_ROLES else "viewer"
     password_hash = hash_password(body.password, iterations=HASH_ITERATIONS)
-
     User.insert(
         {
             User.username: body.username,
             User.password_hash: password_hash,
+            User.role: role,
             User.notification_tokens: [],
         }
     ).execute()
@@ -375,15 +454,61 @@ def delete_user(username: str):
 
 
 @router.put("/users/{username}/password")
-def update_password(request: Request, username: str, body: AppPutPasswordBody):
+async def update_password(
+    request: Request,
+    username: str,
+    body: AppPutPasswordBody,
+):
+    current_user = await get_current_user(request)
+    if isinstance(current_user, JSONResponse):
+        # auth failed
+        return current_user
+
+    current_username = current_user.get("username")
+    current_role = current_user.get("role")
+
+    # viewers can only change their own password
+    if current_role == "viewer" and current_username != username:
+        raise HTTPException(
+            status_code=403, detail="Viewers can only update their own password"
+        )
+
     HASH_ITERATIONS = request.app.frigate_config.auth.hash_iterations
 
     password_hash = hash_password(body.password, iterations=HASH_ITERATIONS)
+    User.set_by_id(username, {User.password_hash: password_hash})
 
-    User.set_by_id(
-        username,
-        {
-            User.password_hash: password_hash,
-        },
-    )
+    return JSONResponse(content={"success": True})
+
+
+@router.put(
+    "/users/{username}/role",
+    dependencies=[Depends(require_role(["admin"]))],
+)
+async def update_role(
+    request: Request,
+    username: str,
+    body: AppPutRoleBody,
+):
+    current_user = await get_current_user(request)
+    if isinstance(current_user, JSONResponse):
+        # auth failed
+        return current_user
+
+    current_role = current_user.get("role")
+    # viewers can't change anyone's role
+    if current_role == "viewer":
+        raise HTTPException(
+            status_code=403, detail="Admin role is required to change user roles"
+        )
+    if username == "admin":
+        return JSONResponse(
+            content={"message": "Cannot modify admin user's role"}, status_code=403
+        )
+    if body.role not in VALID_ROLES:
+        return JSONResponse(
+            content={"message": "Role must be 'admin' or 'viewer'"}, status_code=400
+        )
+
+    User.set_by_id(username, {User.role: body.role})
     return JSONResponse(content={"success": True})
diff --git a/frigate/api/classification.py b/frigate/api/classification.py
new file mode 100644
index 000000000..e33d81e81
--- /dev/null
+++ b/frigate/api/classification.py
@@ -0,0 +1,386 @@
+"""Object classification APIs."""
+
+import datetime
+import logging
+import os
+import shutil
+from typing import Any
+
+import cv2
+from fastapi import APIRouter, Depends, Request, UploadFile
+from fastapi.responses import JSONResponse
+from pathvalidate import sanitize_filename
+from peewee import DoesNotExist
+from playhouse.shortcuts import model_to_dict
+
+from frigate.api.auth import require_role
+from frigate.api.defs.request.classification_body import RenameFaceBody
+from frigate.api.defs.tags import Tags
+from frigate.config.camera import DetectConfig
+from frigate.const import FACE_DIR
+from frigate.embeddings import EmbeddingsContext
+from frigate.models import Event
+from frigate.util.path import get_event_snapshot
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(tags=[Tags.events])
+
+
+@router.get("/faces")
+def get_faces():
+    face_dict: dict[str, list[str]] = {}
+
+    if not os.path.exists(FACE_DIR):
+        return JSONResponse(status_code=200, content={})
+
+    for name in os.listdir(FACE_DIR):
+        face_dir = os.path.join(FACE_DIR, name)
+
+        if not os.path.isdir(face_dir):
+            continue
+
+        face_dict[name] = []
+
+        for file in filter(
+            lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))),
+            os.listdir(face_dir),
+        ):
+            face_dict[name].append(file)
+
+    return JSONResponse(status_code=200, content=face_dict)
+
+
+@router.post("/faces/reprocess", dependencies=[Depends(require_role(["admin"]))])
+def reclassify_face(request: Request, body: dict = None):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    json: dict[str, Any] = body or {}
+    training_file = os.path.join(
+        FACE_DIR, f"train/{sanitize_filename(json.get('training_file', ''))}"
+    )
+
+    if not training_file or not os.path.isfile(training_file):
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"Invalid filename or no file exists: {training_file}",
+                }
+            ),
+            status_code=404,
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    response = context.reprocess_face(training_file)
+
+    return JSONResponse(
+        content=response,
+        status_code=200,
+    )
+
+
+@router.post("/faces/train/{name}/classify")
+def train_face(request: Request, name: str, body: dict = None):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    json: dict[str, Any] = body or {}
+    training_file_name = sanitize_filename(json.get("training_file", ""))
+    training_file = os.path.join(FACE_DIR, f"train/{training_file_name}")
+    event_id = json.get("event_id")
+
+    if not training_file_name and not event_id:
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "A training file or event_id must be passed.",
+                }
+            ),
+            status_code=400,
+        )
+
+    if training_file_name and not os.path.isfile(training_file):
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"Invalid filename or no file exists: {training_file_name}",
+                }
+            ),
+            status_code=404,
+        )
+
+    sanitized_name = sanitize_filename(name)
+    new_name = f"{sanitized_name}-{datetime.datetime.now().timestamp()}.webp"
+    new_file_folder = os.path.join(FACE_DIR, f"{sanitized_name}")
+
+    if not os.path.exists(new_file_folder):
+        os.mkdir(new_file_folder)
+
+    if training_file_name:
+        shutil.move(training_file, os.path.join(new_file_folder, new_name))
+    else:
+        try:
+            event: Event = Event.get(Event.id == event_id)
+        except DoesNotExist:
+            return JSONResponse(
+                content=(
+                    {
+                        "success": False,
+                        "message": f"Invalid event_id or no event exists: {event_id}",
+                    }
+                ),
+                status_code=404,
+            )
+
+        snapshot = get_event_snapshot(event)
+        face_box = event.data["attributes"][0]["box"]
+        detect_config: DetectConfig = request.app.frigate_config.cameras[
+            event.camera
+        ].detect
+
+        # crop onto the face box minus the bounding box itself
+        x1 = int(face_box[0] * detect_config.width) + 2
+        y1 = int(face_box[1] * detect_config.height) + 2
+        x2 = x1 + int(face_box[2] * detect_config.width) - 4
+        y2 = y1 + int(face_box[3] * detect_config.height) - 4
+        face = snapshot[y1:y2, x1:x2]
+        success = True
+
+        if face.size > 0:
+            try:
+                cv2.imwrite(os.path.join(new_file_folder, new_name), face)
+                success = True
+            except Exception:
+                pass
+
+        if not success:
+            return JSONResponse(
+                content=(
+                    {
+                        "success": False,
+                        "message": "Invalid face box or no face exists",
+                    }
+                ),
+                status_code=404,
+            )
+
+    context: EmbeddingsContext = request.app.embeddings
+    context.clear_face_classifier()
+
+    return JSONResponse(
+        content=(
+            {
+                "success": True,
+                "message": f"Successfully saved {training_file_name} as {new_name}.",
+            }
+        ),
+        status_code=200,
+    )
+
+
+@router.post("/faces/{name}/create", dependencies=[Depends(require_role(["admin"]))])
+async def create_face(request: Request, name: str):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    os.makedirs(
+        os.path.join(FACE_DIR, sanitize_filename(name.replace(" ", "_"))), exist_ok=True
+    )
+    return JSONResponse(
+        status_code=200,
+        content={"success": False, "message": "Successfully created face folder."},
+    )
+
+
+@router.post("/faces/{name}/register", dependencies=[Depends(require_role(["admin"]))])
+async def register_face(request: Request, name: str, file: UploadFile):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    result = context.register_face(name, await file.read())
+
+    if not isinstance(result, dict):
+        return JSONResponse(
+            status_code=500,
+            content={
+                "success": False,
+                "message": "Could not process request. Try restarting Frigate.",
+            },
+        )
+
+    return JSONResponse(
+        status_code=200 if result.get("success", True) else 400,
+        content=result,
+    )
+
+
+@router.post("/faces/recognize")
+async def recognize_face(request: Request, file: UploadFile):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    result = context.recognize_face(await file.read())
+
+    if not isinstance(result, dict):
+        return JSONResponse(
+            status_code=500,
+            content={
+                "success": False,
+                "message": "Could not process request. Try restarting Frigate.",
+            },
+        )
+
+    return JSONResponse(
+        status_code=200 if result.get("success", True) else 400,
+        content=result,
+    )
+
+
+@router.post("/faces/{name}/delete", dependencies=[Depends(require_role(["admin"]))])
+def deregister_faces(request: Request, name: str, body: dict = None):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    json: dict[str, Any] = body or {}
+    list_of_ids = json.get("ids", "")
+
+    context: EmbeddingsContext = request.app.embeddings
+    context.delete_face_ids(
+        name, map(lambda file: sanitize_filename(file), list_of_ids)
+    )
+    return JSONResponse(
+        content=({"success": True, "message": "Successfully deleted faces."}),
+        status_code=200,
+    )
+
+
+@router.put("/faces/{old_name}/rename", dependencies=[Depends(require_role(["admin"]))])
+def rename_face(request: Request, old_name: str, body: RenameFaceBody):
+    if not request.app.frigate_config.face_recognition.enabled:
+        return JSONResponse(
+            status_code=400,
+            content={"message": "Face recognition is not enabled.", "success": False},
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    try:
+        context.rename_face(old_name, body.new_name)
+        return JSONResponse(
+            content={
+                "success": True,
+                "message": f"Successfully renamed face to {body.new_name}.",
+            },
+            status_code=200,
+        )
+    except ValueError as e:
+        logger.error(e)
+        return JSONResponse(
+            status_code=400,
+            content={
+                "message": "Error renaming face. Check Frigate logs.",
+                "success": False,
+            },
+        )
+
+
+@router.put("/lpr/reprocess")
+def reprocess_license_plate(request: Request, event_id: str):
+    if not request.app.frigate_config.lpr.enabled:
+        message = "License plate recognition is not enabled."
+        logger.error(message)
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": message,
+                }
+            ),
+            status_code=400,
+        )
+
+    try:
+        event = Event.get(Event.id == event_id)
+    except DoesNotExist:
+        message = f"Event {event_id} not found"
+        logger.error(message)
+        return JSONResponse(
+            content=({"success": False, "message": message}), status_code=404
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    response = context.reprocess_plate(model_to_dict(event))
+
+    return JSONResponse(
+        content=response,
+        status_code=200,
+    )
+
+
+@router.put("/reindex", dependencies=[Depends(require_role(["admin"]))])
+def reindex_embeddings(request: Request):
+    if not request.app.frigate_config.semantic_search.enabled:
+        message = (
+            "Cannot reindex tracked object embeddings, Semantic Search is not enabled."
+        )
+        logger.error(message)
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": message,
+                }
+            ),
+            status_code=400,
+        )
+
+    context: EmbeddingsContext = request.app.embeddings
+    response = context.reindex_embeddings()
+
+    if response == "started":
+        return JSONResponse(
+            content={
+                "success": True,
+                "message": "Embeddings reindexing has started.",
+            },
+            status_code=202,  # 202 Accepted
+        )
+    elif response == "in_progress":
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "Embeddings reindexing is already in progress.",
+            },
+            status_code=409,  # 409 Conflict
+        )
+    else:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "Failed to start reindexing.",
+            },
+            status_code=500,
+        )
diff --git a/frigate/api/defs/query/events_query_parameters.py b/frigate/api/defs/query/events_query_parameters.py
index 5a2b61d43..d707ba8cc 100644
--- a/frigate/api/defs/query/events_query_parameters.py
+++ b/frigate/api/defs/query/events_query_parameters.py
@@ -25,6 +25,9 @@ class EventsQueryParams(BaseModel):
     favorites: Optional[int] = None
     min_score: Optional[float] = None
     max_score: Optional[float] = None
+    min_speed: Optional[float] = None
+    max_speed: Optional[float] = None
+    recognized_license_plate: Optional[str] = "all"
     is_submitted: Optional[int] = None
     min_length: Optional[float] = None
     max_length: Optional[float] = None
@@ -51,6 +54,9 @@ class EventsSearchQueryParams(BaseModel):
     timezone: Optional[str] = "utc"
     min_score: Optional[float] = None
     max_score: Optional[float] = None
+    min_speed: Optional[float] = None
+    max_speed: Optional[float] = None
+    recognized_license_plate: Optional[str] = "all"
     sort: Optional[str] = None
 
 
diff --git a/frigate/api/defs/query/media_query_parameters.py b/frigate/api/defs/query/media_query_parameters.py
index b7df85d30..4750d3277 100644
--- a/frigate/api/defs/query/media_query_parameters.py
+++ b/frigate/api/defs/query/media_query_parameters.py
@@ -20,6 +20,7 @@ class MediaLatestFrameQueryParams(BaseModel):
     regions: Optional[int] = None
     quality: Optional[int] = 70
     height: Optional[int] = None
+    store: Optional[int] = None
 
 
 class MediaEventsSnapshotQueryParams(BaseModel):
@@ -40,3 +41,8 @@ class MediaMjpegFeedQueryParams(BaseModel):
     mask: Optional[int] = None
     motion: Optional[int] = None
     regions: Optional[int] = None
+
+
+class MediaRecordingsSummaryQueryParams(BaseModel):
+    timezone: str = "utc"
+    cameras: Optional[str] = "all"
diff --git a/frigate/api/defs/request/app_body.py b/frigate/api/defs/request/app_body.py
index 85daa5631..1fc05db2f 100644
--- a/frigate/api/defs/request/app_body.py
+++ b/frigate/api/defs/request/app_body.py
@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import BaseModel
 
 
@@ -12,8 +14,13 @@ class AppPutPasswordBody(BaseModel):
 class AppPostUsersBody(BaseModel):
     username: str
     password: str
+    role: Optional[str] = "viewer"
 
 
 class AppPostLoginBody(BaseModel):
     user: str
     password: str
+
+
+class AppPutRoleBody(BaseModel):
+    role: str
diff --git a/frigate/api/defs/request/classification_body.py b/frigate/api/defs/request/classification_body.py
new file mode 100644
index 000000000..c4a32c332
--- /dev/null
+++ b/frigate/api/defs/request/classification_body.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel
+
+
+class RenameFaceBody(BaseModel):
+    new_name: str
diff --git a/frigate/api/defs/request/events_body.py b/frigate/api/defs/request/events_body.py
index 1c8576f02..0883d066f 100644
--- a/frigate/api/defs/request/events_body.py
+++ b/frigate/api/defs/request/events_body.py
@@ -8,6 +8,18 @@ class EventsSubLabelBody(BaseModel):
     subLabelScore: Optional[float] = Field(
         title="Score for sub label", default=None, gt=0.0, le=1.0
     )
+    camera: Optional[str] = Field(
+        title="Camera this object is detected on.", default=None
+    )
+
+
+class EventsLPRBody(BaseModel):
+    recognizedLicensePlate: str = Field(
+        title="Recognized License Plate", max_length=100
+    )
+    recognizedLicensePlateScore: Optional[float] = Field(
+        title="Score for recognized license plate", default=None, gt=0.0, le=1.0
+    )
 
 
 class EventsDescriptionBody(BaseModel):
diff --git a/frigate/api/defs/request/export_rename_body.py b/frigate/api/defs/request/export_rename_body.py
new file mode 100644
index 000000000..dc5bc32f9
--- /dev/null
+++ b/frigate/api/defs/request/export_rename_body.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel, Field
+
+
+class ExportRenameBody(BaseModel):
+    name: str = Field(title="Friendly name", max_length=256)
diff --git a/frigate/api/defs/response/event_response.py b/frigate/api/defs/response/event_response.py
index 17b9b166f..083849706 100644
--- a/frigate/api/defs/response/event_response.py
+++ b/frigate/api/defs/response/event_response.py
@@ -12,7 +12,7 @@ class EventResponse(BaseModel):
     end_time: Optional[float]
     false_positive: Optional[bool]
     zones: list[str]
-    thumbnail: str
+    thumbnail: Optional[str]
     has_clip: bool
     has_snapshot: bool
     retain_indefinitely: bool
diff --git a/frigate/api/defs/tags.py b/frigate/api/defs/tags.py
index 80faf255c..9e61da9e9 100644
--- a/frigate/api/defs/tags.py
+++ b/frigate/api/defs/tags.py
@@ -10,4 +10,5 @@ class Tags(Enum):
     review = "Review"
     export = "Export"
     events = "Events"
+    classification = "classification"
     auth = "Auth"
diff --git a/frigate/api/event.py b/frigate/api/event.py
index 3ba4ae426..4287e829a 100644
--- a/frigate/api/event.py
+++ b/frigate/api/event.py
@@ -3,6 +3,8 @@
 import datetime
 import logging
 import os
+import random
+import string
 from functools import reduce
 from pathlib import Path
 from urllib.parse import unquote
@@ -14,6 +16,7 @@ from fastapi.responses import JSONResponse
 from peewee import JOIN, DoesNotExist, fn, operator
 from playhouse.shortcuts import model_to_dict
 
+from frigate.api.auth import require_role
 from frigate.api.defs.query.events_query_parameters import (
     DEFAULT_TIME_RANGE,
     EventsQueryParams,
@@ -28,6 +31,7 @@ from frigate.api.defs.request.events_body import (
     EventsDeleteBody,
     EventsDescriptionBody,
     EventsEndBody,
+    EventsLPRBody,
     EventsSubLabelBody,
     SubmitPlusBody,
 )
@@ -39,11 +43,11 @@ from frigate.api.defs.response.event_response import (
 )
 from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
+from frigate.comms.event_metadata_updater import EventMetadataTypeEnum
 from frigate.const import CLIPS_DIR
 from frigate.embeddings import EmbeddingsContext
-from frigate.events.external import ExternalEventProcessor
 from frigate.models import Event, ReviewSegment, Timeline
-from frigate.object_processing import TrackedObject, TrackedObjectProcessor
+from frigate.track.object_processing import TrackedObject
 from frigate.util.builtin import get_tz_modifiers
 
 logger = logging.getLogger(__name__)
@@ -92,10 +96,13 @@ def events(params: EventsQueryParams = Depends()):
     favorites = params.favorites
     min_score = params.min_score
     max_score = params.max_score
+    min_speed = params.min_speed
+    max_speed = params.max_speed
     is_submitted = params.is_submitted
     min_length = params.min_length
     max_length = params.max_length
     event_id = params.event_id
+    recognized_license_plate = params.recognized_license_plate
 
     sort = params.sort
 
@@ -153,6 +160,45 @@ def events(params: EventsQueryParams = Depends()):
         sub_label_clause = reduce(operator.or_, sub_label_clauses)
         clauses.append((sub_label_clause))
 
+    if recognized_license_plate != "all":
+        # use matching so joined recognized_license_plates are included
+        # for example a recognized license plate 'ABC123' would get events
+        # with recognized license plates 'ABC123' and 'ABC123, XYZ789'
+        recognized_license_plate_clauses = []
+        filtered_recognized_license_plates = recognized_license_plate.split(",")
+
+        if "None" in filtered_recognized_license_plates:
+            filtered_recognized_license_plates.remove("None")
+            recognized_license_plate_clauses.append(
+                (Event.data["recognized_license_plate"].is_null())
+            )
+
+        for recognized_license_plate in filtered_recognized_license_plates:
+            # Exact matching plus list inclusion
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    == recognized_license_plate
+                )
+            )
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    % f"*{recognized_license_plate},*"
+                )
+            )
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    % f"*, {recognized_license_plate}*"
+                )
+            )
+
+        recognized_license_plate_clause = reduce(
+            operator.or_, recognized_license_plate_clauses
+        )
+        clauses.append((recognized_license_plate_clause))
+
     if zones != "all":
         # use matching so events with multiple zones
         # still match on a search where any zone matches
@@ -226,6 +272,12 @@ def events(params: EventsQueryParams = Depends()):
     if min_score is not None:
         clauses.append((Event.data["score"] >= min_score))
 
+    if max_speed is not None:
+        clauses.append((Event.data["average_estimated_speed"] <= max_speed))
+
+    if min_speed is not None:
+        clauses.append((Event.data["average_estimated_speed"] >= min_speed))
+
     if min_length is not None:
         clauses.append(((Event.end_time - Event.start_time) >= min_length))
 
@@ -249,6 +301,10 @@ def events(params: EventsQueryParams = Depends()):
             order_by = Event.data["score"].asc()
         elif sort == "score_desc":
             order_by = Event.data["score"].desc()
+        elif sort == "speed_asc":
+            order_by = Event.data["average_estimated_speed"].asc()
+        elif sort == "speed_desc":
+            order_by = Event.data["average_estimated_speed"].desc()
         elif sort == "date_asc":
             order_by = Event.start_time.asc()
         elif sort == "date_desc":
@@ -316,7 +372,18 @@ def events_explore(limit: int = 10):
                     k: v
                     for k, v in event.data.items()
                     if k
-                    in ["type", "score", "top_score", "description", "sub_label_score"]
+                    in [
+                        "type",
+                        "score",
+                        "top_score",
+                        "description",
+                        "sub_label_score",
+                        "average_estimated_speed",
+                        "velocity_angle",
+                        "path_data",
+                        "recognized_license_plate",
+                        "recognized_license_plate_score",
+                    ]
                 },
                 "event_count": label_counts[event.label],
             }
@@ -367,10 +434,13 @@ def events_search(request: Request, params: EventsSearchQueryParams = Depends())
     before = params.before
     min_score = params.min_score
     max_score = params.max_score
+    min_speed = params.min_speed
+    max_speed = params.max_speed
     time_range = params.time_range
     has_clip = params.has_clip
     has_snapshot = params.has_snapshot
     is_submitted = params.is_submitted
+    recognized_license_plate = params.recognized_license_plate
 
     # for similarity search
     event_id = params.event_id
@@ -440,6 +510,45 @@ def events_search(request: Request, params: EventsSearchQueryParams = Depends())
 
         event_filters.append((reduce(operator.or_, zone_clauses)))
 
+    if recognized_license_plate != "all":
+        # use matching so joined recognized_license_plates are included
+        # for example an recognized_license_plate 'ABC123' would get events
+        # with recognized_license_plates 'ABC123' and 'ABC123, XYZ789'
+        recognized_license_plate_clauses = []
+        filtered_recognized_license_plates = recognized_license_plate.split(",")
+
+        if "None" in filtered_recognized_license_plates:
+            filtered_recognized_license_plates.remove("None")
+            recognized_license_plate_clauses.append(
+                (Event.data["recognized_license_plate"].is_null())
+            )
+
+        for recognized_license_plate in filtered_recognized_license_plates:
+            # Exact matching plus list inclusion
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    == recognized_license_plate
+                )
+            )
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    % f"*{recognized_license_plate},*"
+                )
+            )
+            recognized_license_plate_clauses.append(
+                (
+                    Event.data["recognized_license_plate"].cast("text")
+                    % f"*, {recognized_license_plate}*"
+                )
+            )
+
+        recognized_license_plate_clause = reduce(
+            operator.or_, recognized_license_plate_clauses
+        )
+        event_filters.append((recognized_license_plate_clause))
+
     if after:
         event_filters.append((Event.start_time > after))
 
@@ -466,6 +575,16 @@ def events_search(request: Request, params: EventsSearchQueryParams = Depends())
         if max_score is not None:
             event_filters.append((Event.data["score"] <= max_score))
 
+    if min_speed is not None and max_speed is not None:
+        event_filters.append(
+            (Event.data["average_estimated_speed"].between(min_speed, max_speed))
+        )
+    else:
+        if min_speed is not None:
+            event_filters.append((Event.data["average_estimated_speed"] >= min_speed))
+        if max_speed is not None:
+            event_filters.append((Event.data["average_estimated_speed"] <= max_speed))
+
     if time_range != DEFAULT_TIME_RANGE:
         tz_name = params.timezone
         hour_modifier, minute_modifier, _ = get_tz_modifiers(tz_name)
@@ -581,7 +700,20 @@ def events_search(request: Request, params: EventsSearchQueryParams = Depends())
         processed_event["data"] = {
             k: v
             for k, v in event["data"].items()
-            if k in ["type", "score", "top_score", "description"]
+            if k
+            in [
+                "attributes",
+                "type",
+                "score",
+                "top_score",
+                "description",
+                "sub_label_score",
+                "average_estimated_speed",
+                "velocity_angle",
+                "path_data",
+                "recognized_license_plate",
+                "recognized_license_plate_score",
+            ]
         }
 
         if event["id"] in search_results:
@@ -593,9 +725,15 @@ def events_search(request: Request, params: EventsSearchQueryParams = Depends())
     if (sort is None or sort == "relevance") and search_results:
         processed_events.sort(key=lambda x: x.get("search_distance", float("inf")))
     elif min_score is not None and max_score is not None and sort == "score_asc":
-        processed_events.sort(key=lambda x: x["score"])
+        processed_events.sort(key=lambda x: x["data"]["score"])
     elif min_score is not None and max_score is not None and sort == "score_desc":
-        processed_events.sort(key=lambda x: x["score"], reverse=True)
+        processed_events.sort(key=lambda x: x["data"]["score"], reverse=True)
+    elif min_speed is not None and max_speed is not None and sort == "speed_asc":
+        processed_events.sort(key=lambda x: x["data"]["average_estimated_speed"])
+    elif min_speed is not None and max_speed is not None and sort == "speed_desc":
+        processed_events.sort(
+            key=lambda x: x["data"]["average_estimated_speed"], reverse=True
+        )
     elif sort == "date_asc":
         processed_events.sort(key=lambda x: x["start_time"])
     else:
@@ -631,6 +769,7 @@ def events_summary(params: EventsSummaryQueryParams = Depends()):
             Event.camera,
             Event.label,
             Event.sub_label,
+            Event.data,
             fn.strftime(
                 "%Y-%m-%d",
                 fn.datetime(
@@ -645,6 +784,7 @@ def events_summary(params: EventsSummaryQueryParams = Depends()):
             Event.camera,
             Event.label,
             Event.sub_label,
+            Event.data,
             (Event.start_time + seconds_offset).cast("int") / (3600 * 24),
             Event.zones,
         )
@@ -661,7 +801,11 @@ def event(event_id: str):
         return JSONResponse(content="Event not found", status_code=404)
 
 
-@router.post("/events/{event_id}/retain", response_model=GenericResponse)
+@router.post(
+    "/events/{event_id}/retain",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def set_retain(event_id: str):
     try:
         event = Event.get(Event.id == event_id)
@@ -881,7 +1025,11 @@ def false_positive(request: Request, event_id: str):
     )
 
 
-@router.delete("/events/{event_id}/retain", response_model=GenericResponse)
+@router.delete(
+    "/events/{event_id}/retain",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def delete_retain(event_id: str):
     try:
         event = Event.get(Event.id == event_id)
@@ -900,7 +1048,11 @@ def delete_retain(event_id: str):
     )
 
 
-@router.post("/events/{event_id}/sub_label", response_model=GenericResponse)
+@router.post(
+    "/events/{event_id}/sub_label",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def set_sub_label(
     request: Request,
     event_id: str,
@@ -909,50 +1061,106 @@ def set_sub_label(
     try:
         event: Event = Event.get(Event.id == event_id)
     except DoesNotExist:
+        event = None
+
+    if request.app.detected_frames_processor:
+        tracked_obj: TrackedObject = None
+
+        for state in request.app.detected_frames_processor.camera_states.values():
+            tracked_obj = state.tracked_objects.get(event_id)
+
+            if tracked_obj is not None:
+                break
+    else:
+        tracked_obj = None
+
+    if not event and not tracked_obj:
         return JSONResponse(
-            content=({"success": False, "message": "Event " + event_id + " not found"}),
+            content=(
+                {"success": False, "message": "Event " + event_id + " not found."}
+            ),
             status_code=404,
         )
 
     new_sub_label = body.subLabel
     new_score = body.subLabelScore
 
-    if not event.end_time:
-        # update tracked object
-        tracked_obj: TrackedObject = (
-            request.app.detected_frames_processor.camera_states[
-                event.camera
-            ].tracked_objects.get(event.id)
-        )
+    if new_sub_label == "":
+        new_sub_label = None
+        new_score = None
 
-        if tracked_obj:
-            tracked_obj.obj_data["sub_label"] = (new_sub_label, new_score)
+    request.app.event_metadata_updater.publish(
+        EventMetadataTypeEnum.sub_label, (event_id, new_sub_label, new_score)
+    )
 
-        # update timeline items
-        Timeline.update(
-            data=Timeline.data.update({"sub_label": (new_sub_label, new_score)})
-        ).where(Timeline.source_id == event_id).execute()
-
-    event.sub_label = new_sub_label
-
-    if new_score:
-        data = event.data
-        data["sub_label_score"] = new_score
-        event.data = data
-
-    event.save()
     return JSONResponse(
-        content=(
-            {
-                "success": True,
-                "message": "Event " + event_id + " sub label set to " + new_sub_label,
-            }
-        ),
+        content={
+            "success": True,
+            "message": f"Event {event_id} sub label set to {new_sub_label if new_sub_label is not None else 'None'}",
+        },
         status_code=200,
     )
 
 
-@router.post("/events/{event_id}/description", response_model=GenericResponse)
+@router.post(
+    "/events/{event_id}/recognized_license_plate",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
+def set_plate(
+    request: Request,
+    event_id: str,
+    body: EventsLPRBody,
+):
+    try:
+        event: Event = Event.get(Event.id == event_id)
+    except DoesNotExist:
+        event = None
+
+    if request.app.detected_frames_processor:
+        tracked_obj: TrackedObject = None
+
+        for state in request.app.detected_frames_processor.camera_states.values():
+            tracked_obj = state.tracked_objects.get(event_id)
+
+            if tracked_obj is not None:
+                break
+    else:
+        tracked_obj = None
+
+    if not event and not tracked_obj:
+        return JSONResponse(
+            content=(
+                {"success": False, "message": "Event " + event_id + " not found."}
+            ),
+            status_code=404,
+        )
+
+    new_plate = body.recognizedLicensePlate
+    new_score = body.recognizedLicensePlateScore
+
+    if new_plate == "":
+        new_plate = None
+        new_score = None
+
+    request.app.event_metadata_updater.publish(
+        EventMetadataTypeEnum.recognized_license_plate, (event_id, new_plate, new_score)
+    )
+
+    return JSONResponse(
+        content={
+            "success": True,
+            "message": f"Event {event_id} license plate set to {new_plate if new_plate is not None else 'None'}",
+        },
+        status_code=200,
+    )
+
+
+@router.post(
+    "/events/{event_id}/description",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def set_description(
     request: Request,
     event_id: str,
@@ -999,7 +1207,11 @@ def set_description(
     )
 
 
-@router.put("/events/{event_id}/description/regenerate", response_model=GenericResponse)
+@router.put(
+    "/events/{event_id}/description/regenerate",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def regenerate_description(
     request: Request, event_id: str, params: RegenerateQueryParameters = Depends()
 ):
@@ -1013,11 +1225,10 @@ def regenerate_description(
 
     camera_config = request.app.frigate_config.cameras[event.camera]
 
-    if (
-        request.app.frigate_config.semantic_search.enabled
-        and camera_config.genai.enabled
-    ):
-        request.app.event_metadata_updater.publish((event.id, params.source))
+    if camera_config.genai.enabled:
+        request.app.event_metadata_updater.publish(
+            EventMetadataTypeEnum.regenerate_description, (event.id, params.source)
+        )
 
         return JSONResponse(
             content=(
@@ -1070,14 +1281,22 @@ def delete_single_event(event_id: str, request: Request) -> dict:
     return {"success": True, "message": f"Event {event_id} deleted"}
 
 
-@router.delete("/events/{event_id}", response_model=GenericResponse)
+@router.delete(
+    "/events/{event_id}",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def delete_event(request: Request, event_id: str):
     result = delete_single_event(event_id, request)
     status_code = 200 if result["success"] else 404
     return JSONResponse(content=result, status_code=status_code)
 
 
-@router.delete("/events/", response_model=EventMultiDeleteResponse)
+@router.delete(
+    "/events/",
+    response_model=EventMultiDeleteResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def delete_events(request: Request, body: EventsDeleteBody):
     if not body.event_ids:
         return JSONResponse(
@@ -1103,7 +1322,11 @@ def delete_events(request: Request, body: EventsDeleteBody):
     return JSONResponse(content=response, status_code=200)
 
 
-@router.post("/events/{camera_name}/{label}/create", response_model=EventCreateResponse)
+@router.post(
+    "/events/{camera_name}/{label}/create",
+    response_model=EventCreateResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def create_event(
     request: Request,
     camera_name: str,
@@ -1124,28 +1347,25 @@ def create_event(
             status_code=404,
         )
 
-    try:
-        frame_processor: TrackedObjectProcessor = request.app.detected_frames_processor
-        external_processor: ExternalEventProcessor = request.app.external_processor
+    now = datetime.datetime.now().timestamp()
+    rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
+    event_id = f"{now}-{rand_id}"
 
-        frame = frame_processor.get_current_frame(camera_name)
-        event_id = external_processor.create_manual_event(
+    request.app.event_metadata_updater.publish(
+        EventMetadataTypeEnum.manual_event_create,
+        (
+            now,
             camera_name,
             label,
-            body.source_type,
-            body.sub_label,
-            body.score,
-            body.duration,
+            event_id,
             body.include_recording,
+            body.score,
+            body.sub_label,
+            body.duration,
+            body.source_type,
             body.draw,
-            frame,
-        )
-    except Exception as e:
-        logger.error(e)
-        return JSONResponse(
-            content=({"success": False, "message": "An unknown error occurred"}),
-            status_code=500,
-        )
+        ),
+    )
 
     return JSONResponse(
         content=(
@@ -1159,11 +1379,17 @@ def create_event(
     )
 
 
-@router.put("/events/{event_id}/end", response_model=GenericResponse)
+@router.put(
+    "/events/{event_id}/end",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def end_event(request: Request, event_id: str, body: EventsEndBody):
     try:
         end_time = body.end_time or datetime.datetime.now().timestamp()
-        request.app.external_processor.finish_manual_event(event_id, end_time)
+        request.app.event_metadata_updater.publish(
+            EventMetadataTypeEnum.manual_event_end, (event_id, end_time)
+        )
     except Exception:
         return JSONResponse(
             content=(
diff --git a/frigate/api/export.py b/frigate/api/export.py
index ba0f8be28..160434c68 100644
--- a/frigate/api/export.py
+++ b/frigate/api/export.py
@@ -6,12 +6,14 @@ import string
 from pathlib import Path
 
 import psutil
-from fastapi import APIRouter, Request
+from fastapi import APIRouter, Depends, Request
 from fastapi.responses import JSONResponse
 from peewee import DoesNotExist
 from playhouse.shortcuts import model_to_dict
 
+from frigate.api.auth import require_role
 from frigate.api.defs.request.export_recordings_body import ExportRecordingsBody
+from frigate.api.defs.request.export_rename_body import ExportRenameBody
 from frigate.api.defs.tags import Tags
 from frigate.const import EXPORT_DIR
 from frigate.models import Export, Previews, Recordings
@@ -129,8 +131,10 @@ def export_recording(
     )
 
 
-@router.patch("/export/{event_id}/{new_name}")
-def export_rename(event_id: str, new_name: str):
+@router.patch(
+    "/export/{event_id}/rename", dependencies=[Depends(require_role(["admin"]))]
+)
+def export_rename(event_id: str, body: ExportRenameBody):
     try:
         export: Export = Export.get(Export.id == event_id)
     except DoesNotExist:
@@ -144,7 +148,7 @@ def export_rename(event_id: str, new_name: str):
             status_code=404,
         )
 
-    export.name = new_name
+    export.name = body.name
     export.save()
     return JSONResponse(
         content=(
@@ -157,7 +161,7 @@ def export_rename(event_id: str, new_name: str):
     )
 
 
-@router.delete("/export/{event_id}")
+@router.delete("/export/{event_id}", dependencies=[Depends(require_role(["admin"]))])
 def export_delete(event_id: str):
     try:
         export: Export = Export.get(Export.id == event_id)
diff --git a/frigate/api/fastapi_app.py b/frigate/api/fastapi_app.py
index cf8e98536..0657752dc 100644
--- a/frigate/api/fastapi_app.py
+++ b/frigate/api/fastapi_app.py
@@ -11,14 +11,22 @@ from starlette_context import middleware, plugins
 from starlette_context.plugins import Plugin
 
 from frigate.api import app as main_app
-from frigate.api import auth, event, export, media, notification, preview, review
+from frigate.api import (
+    auth,
+    classification,
+    event,
+    export,
+    media,
+    notification,
+    preview,
+    review,
+)
 from frigate.api.auth import get_jwt_secret, limiter
 from frigate.comms.event_metadata_updater import (
     EventMetadataPublisher,
 )
 from frigate.config import FrigateConfig
 from frigate.embeddings import EmbeddingsContext
-from frigate.events.external import ExternalEventProcessor
 from frigate.ptz.onvif import OnvifController
 from frigate.stats.emitter import StatsEmitter
 from frigate.storage import StorageMaintainer
@@ -47,7 +55,6 @@ def create_fastapi_app(
     detected_frames_processor,
     storage_maintainer: StorageMaintainer,
     onvif: OnvifController,
-    external_processor: ExternalEventProcessor,
     stats_emitter: StatsEmitter,
     event_metadata_updater: EventMetadataPublisher,
 ):
@@ -103,6 +110,7 @@ def create_fastapi_app(
     # Routes
     # Order of include_router matters: https://fastapi.tiangolo.com/tutorial/path-params/#order-matters
     app.include_router(auth.router)
+    app.include_router(classification.router)
     app.include_router(review.router)
     app.include_router(main_app.router)
     app.include_router(preview.router)
@@ -119,7 +127,6 @@ def create_fastapi_app(
     app.onvif = onvif
     app.stats_emitter = stats_emitter
     app.event_metadata_updater = event_metadata_updater
-    app.external_processor = external_processor
     app.jwt_token = get_jwt_secret() if frigate_config.auth.enabled else None
 
     return app
diff --git a/frigate/api/media.py b/frigate/api/media.py
index b5f3ba703..b4db46d38 100644
--- a/frigate/api/media.py
+++ b/frigate/api/media.py
@@ -1,13 +1,15 @@
 """Image and video apis."""
 
-import base64
+import asyncio
 import glob
 import logging
+import math
 import os
 import subprocess as sp
 import time
 from datetime import datetime, timedelta, timezone
 from pathlib import Path as FilePath
+from typing import Any
 from urllib.parse import unquote
 
 import cv2
@@ -25,20 +27,24 @@ from frigate.api.defs.query.media_query_parameters import (
     MediaEventsSnapshotQueryParams,
     MediaLatestFrameQueryParams,
     MediaMjpegFeedQueryParams,
+    MediaRecordingsSummaryQueryParams,
 )
 from frigate.api.defs.tags import Tags
+from frigate.camera.state import CameraState
 from frigate.config import FrigateConfig
 from frigate.const import (
     CACHE_DIR,
     CLIPS_DIR,
+    INSTALL_DIR,
     MAX_SEGMENT_DURATION,
     PREVIEW_FRAME_TYPE,
     RECORD_DIR,
 )
 from frigate.models import Event, Previews, Recordings, Regions, ReviewSegment
-from frigate.object_processing import TrackedObjectProcessor
+from frigate.track.object_processing import TrackedObjectProcessor
 from frigate.util.builtin import get_tz_modifiers
 from frigate.util.image import get_image_from_recording
+from frigate.util.path import get_event_thumbnail_bytes
 
 logger = logging.getLogger(__name__)
 
@@ -84,7 +90,7 @@ def imagestream(
     camera_name: str,
     fps: int,
     height: int,
-    draw_options: dict[str, any],
+    draw_options: dict[str, Any],
 ):
     while True:
         # max out at specified FPS
@@ -104,11 +110,14 @@ def imagestream(
 
 
 @router.get("/{camera_name}/ptz/info")
-def camera_ptz_info(request: Request, camera_name: str):
+async def camera_ptz_info(request: Request, camera_name: str):
     if camera_name in request.app.frigate_config.cameras:
-        return JSONResponse(
-            content=request.app.onvif.get_camera_info(camera_name),
+        # Schedule get_camera_info in the OnvifController's event loop
+        future = asyncio.run_coroutine_threadsafe(
+            request.app.onvif.get_camera_info(camera_name), request.app.onvif.loop
         )
+        result = future.result()
+        return JSONResponse(content=result)
     else:
         return JSONResponse(
             content={"success": False, "message": "Camera not found"},
@@ -154,7 +163,9 @@ def latest_frame(
             frame_processor.get_current_frame_time(camera_name) + retry_interval
         ):
             if request.app.camera_error_image is None:
-                error_image = glob.glob("/opt/frigate/frigate/images/camera-error.jpg")
+                error_image = glob.glob(
+                    os.path.join(INSTALL_DIR, "frigate/images/camera-error.jpg")
+                )
 
                 if len(error_image) > 0:
                     request.app.camera_error_image = cv2.imread(
@@ -182,11 +193,16 @@ def latest_frame(
 
         frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
 
-        ret, img = cv2.imencode(f".{extension}", frame, quality_params)
+        _, img = cv2.imencode(f".{extension}", frame, quality_params)
         return Response(
             content=img.tobytes(),
             media_type=f"image/{mime_type}",
-            headers={"Content-Type": f"image/{mime_type}", "Cache-Control": "no-store"},
+            headers={
+                "Content-Type": f"image/{mime_type}",
+                "Cache-Control": "no-store"
+                if not params.store
+                else "private, max-age=60",
+            },
         )
     elif camera_name == "birdseye" and request.app.frigate_config.birdseye.restream:
         frame = cv2.cvtColor(
@@ -199,11 +215,16 @@ def latest_frame(
 
         frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
 
-        ret, img = cv2.imencode(f".{extension}", frame, quality_params)
+        _, img = cv2.imencode(f".{extension}", frame, quality_params)
         return Response(
             content=img.tobytes(),
             media_type=f"image/{mime_type}",
-            headers={"Content-Type": f"image/{mime_type}", "Cache-Control": "no-store"},
+            headers={
+                "Content-Type": f"image/{mime_type}",
+                "Cache-Control": "no-store"
+                if not params.store
+                else "private, max-age=60",
+            },
         )
     else:
         return JSONResponse(
@@ -225,25 +246,50 @@ def get_snapshot_from_recording(
             content={"success": False, "message": "Camera not found"},
             status_code=404,
         )
-
-    recording_query = (
-        Recordings.select(
-            Recordings.path,
-            Recordings.start_time,
-        )
-        .where(
-            (
-                (frame_time >= Recordings.start_time)
-                & (frame_time <= Recordings.end_time)
-            )
-        )
-        .where(Recordings.camera == camera_name)
-        .order_by(Recordings.start_time.desc())
-        .limit(1)
-    )
+    recording: Recordings | None = None
 
     try:
-        recording: Recordings = recording_query.get()
+        recording = (
+            Recordings.select(
+                Recordings.path,
+                Recordings.start_time,
+            )
+            .where(
+                (
+                    (frame_time >= Recordings.start_time)
+                    & (frame_time <= Recordings.end_time)
+                )
+            )
+            .where(Recordings.camera == camera_name)
+            .order_by(Recordings.start_time.desc())
+            .limit(1)
+            .get()
+        )
+    except DoesNotExist:
+        # try again with a rounded frame time as it may be between
+        # the rounded segment start time
+        frame_time = math.ceil(frame_time)
+        try:
+            recording = (
+                Recordings.select(
+                    Recordings.path,
+                    Recordings.start_time,
+                )
+                .where(
+                    (
+                        (frame_time >= Recordings.start_time)
+                        & (frame_time <= Recordings.end_time)
+                    )
+                )
+                .where(Recordings.camera == camera_name)
+                .order_by(Recordings.start_time.desc())
+                .limit(1)
+                .get()
+            )
+        except DoesNotExist:
+            pass
+
+    if recording is not None:
         time_in_segment = frame_time - recording.start_time
         codec = "png" if format == "png" else "mjpeg"
         mime_type = "png" if format == "png" else "jpeg"
@@ -264,7 +310,7 @@ def get_snapshot_from_recording(
                 status_code=404,
             )
         return Response(image_data, headers={"Content-Type": f"image/{mime_type}"})
-    except DoesNotExist:
+    else:
         return JSONResponse(
             content={
                 "success": False,
@@ -362,6 +408,48 @@ def get_recordings_storage_usage(request: Request):
     return JSONResponse(content=camera_usages)
 
 
+@router.get("/recordings/summary")
+def all_recordings_summary(params: MediaRecordingsSummaryQueryParams = Depends()):
+    """Returns true/false by day indicating if recordings exist"""
+    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
+
+    cameras = params.cameras
+
+    query = (
+        Recordings.select(
+            fn.strftime(
+                "%Y-%m-%d",
+                fn.datetime(
+                    Recordings.start_time + seconds_offset,
+                    "unixepoch",
+                    hour_modifier,
+                    minute_modifier,
+                ),
+            ).alias("day")
+        )
+        .group_by(
+            fn.strftime(
+                "%Y-%m-%d",
+                fn.datetime(
+                    Recordings.start_time + seconds_offset,
+                    "unixepoch",
+                    hour_modifier,
+                    minute_modifier,
+                ),
+            )
+        )
+        .order_by(Recordings.start_time.desc())
+    )
+
+    if cameras != "all":
+        query = query.where(Recordings.camera << cameras.split(","))
+
+    recording_days = query.namedtuples()
+    days = {day.day: True for day in recording_days}
+
+    return JSONResponse(content=days)
+
+
 @router.get("/{camera_name}/recordings/summary")
 def recordings_summary(camera_name: str, timezone: str = "utc"):
     """Returns hourly summary for recordings of given camera"""
@@ -454,7 +542,10 @@ def recordings(
     return JSONResponse(content=list(recordings))
 
 
-@router.get("/{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4")
+@router.get(
+    "/{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4",
+    description="For iOS devices, use the master.m3u8 HLS link instead of clip.mp4. Safari does not reliably process progressive mp4 files.",
+)
 def recording_clip(
     request: Request,
     camera_name: str,
@@ -497,14 +588,16 @@ def recording_clip(
     )
 
     file_name = sanitize_filename(f"playlist_{camera_name}_{start_ts}-{end_ts}.txt")
-    file_path = f"/tmp/cache/{file_name}"
+    file_path = os.path.join(CACHE_DIR, file_name)
     with open(file_path, "w") as file:
         clip: Recordings
         for clip in recordings:
             file.write(f"file '{clip.path}'\n")
+
             # if this is the starting clip, add an inpoint
             if clip.start_time < start_ts:
                 file.write(f"inpoint {int(start_ts - clip.start_time)}\n")
+
             # if this is the ending clip, add an outpoint
             if clip.end_time > end_ts:
                 file.write(f"outpoint {int(end_ts - clip.start_time)}\n")
@@ -547,10 +640,18 @@ def recording_clip(
     )
 
 
-@router.get("/vod/{camera_name}/start/{start_ts}/end/{end_ts}")
+@router.get(
+    "/vod/{camera_name}/start/{start_ts}/end/{end_ts}",
+    description="Returns an HLS playlist for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
 def vod_ts(camera_name: str, start_ts: float, end_ts: float):
     recordings = (
-        Recordings.select(Recordings.path, Recordings.duration, Recordings.end_time)
+        Recordings.select(
+            Recordings.path,
+            Recordings.duration,
+            Recordings.end_time,
+            Recordings.start_time,
+        )
         .where(
             Recordings.start_time.between(start_ts, end_ts)
             | Recordings.end_time.between(start_ts, end_ts)
@@ -570,14 +671,19 @@ def vod_ts(camera_name: str, start_ts: float, end_ts: float):
         clip = {"type": "source", "path": recording.path}
         duration = int(recording.duration * 1000)
 
-        # Determine if we need to end the last clip early
+        # adjust start offset if start_ts is after recording.start_time
+        if start_ts > recording.start_time:
+            inpoint = int((start_ts - recording.start_time) * 1000)
+            clip["clipFrom"] = inpoint
+            duration -= inpoint
+
+        # adjust end if recording.end_time is after end_ts
         if recording.end_time > end_ts:
             duration -= int((recording.end_time - end_ts) * 1000)
 
-            if duration == 0:
-                # this means the segment starts right at the end of the requested time range
-                # and it does not need to be included
-                continue
+        if duration <= 0:
+            # skip if the clip has no valid duration
+            continue
 
         if 0 < duration < max_duration_ms:
             clip["keyFrameDurations"] = [duration]
@@ -611,7 +717,10 @@ def vod_ts(camera_name: str, start_ts: float, end_ts: float):
     )
 
 
-@router.get("/vod/{year_month}/{day}/{hour}/{camera_name}")
+@router.get(
+    "/vod/{year_month}/{day}/{hour}/{camera_name}",
+    description="Returns an HLS playlist for the specified date-time on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
 def vod_hour_no_timezone(year_month: str, day: int, hour: int, camera_name: str):
     """VOD for specific hour. Uses the default timezone (UTC)."""
     return vod_hour(
@@ -619,7 +728,10 @@ def vod_hour_no_timezone(year_month: str, day: int, hour: int, camera_name: str)
     )
 
 
-@router.get("/vod/{year_month}/{day}/{hour}/{camera_name}/{tz_name}")
+@router.get(
+    "/vod/{year_month}/{day}/{hour}/{camera_name}/{tz_name}",
+    description="Returns an HLS playlist for the specified date-time (with timezone) on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
 def vod_hour(year_month: str, day: int, hour: int, camera_name: str, tz_name: str):
     parts = year_month.split("-")
     start_date = (
@@ -633,7 +745,10 @@ def vod_hour(year_month: str, day: int, hour: int, camera_name: str, tz_name: st
     return vod_ts(camera_name, start_ts, end_ts)
 
 
-@router.get("/vod/event/{event_id}")
+@router.get(
+    "/vod/event/{event_id}",
+    description="Returns an HLS playlist for the specified object. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
 def vod_event(event_id: str):
     try:
         event: Event = Event.get(Event.id == event_id)
@@ -685,7 +800,10 @@ def vod_event(event_id: str):
     )
 
 
-@router.get("/events/{event_id}/snapshot.jpg")
+@router.get(
+    "/events/{event_id}/snapshot.jpg",
+    description="Returns a snapshot image for the specified object id. NOTE: The query params only take affect while the event is in-progress. Once the event has ended the snapshot configuration is used.",
+)
 def event_snapshot(
     request: Request,
     event_id: str,
@@ -709,12 +827,15 @@ def event_snapshot(
     except DoesNotExist:
         # see if the object is currently being tracked
         try:
-            camera_states = request.app.detected_frames_processor.camera_states.values()
+            camera_states: list[CameraState] = (
+                request.app.detected_frames_processor.camera_states.values()
+            )
             for camera_state in camera_states:
                 if event_id in camera_state.tracked_objects:
                     tracked_obj = camera_state.tracked_objects.get(event_id)
                     if tracked_obj is not None:
-                        jpg_bytes = tracked_obj.get_jpg_bytes(
+                        jpg_bytes = tracked_obj.get_img_bytes(
+                            ext="jpg",
                             timestamp=params.timestamp,
                             bounding_box=params.bbox,
                             crop=params.crop,
@@ -723,17 +844,19 @@ def event_snapshot(
                         )
         except Exception:
             return JSONResponse(
-                content={"success": False, "message": "Event not found"},
+                content={"success": False, "message": "Ongoing event not found"},
                 status_code=404,
             )
     except Exception:
         return JSONResponse(
-            content={"success": False, "message": "Event not found"}, status_code=404
+            content={"success": False, "message": "Unknown error occurred"},
+            status_code=404,
         )
 
     if jpg_bytes is None:
         return JSONResponse(
-            content={"success": False, "message": "Event not found"}, status_code=404
+            content={"success": False, "message": "Live frame not available"},
+            status_code=404,
         )
 
     headers = {
@@ -751,10 +874,11 @@ def event_snapshot(
     )
 
 
-@router.get("/events/{event_id}/thumbnail.jpg")
+@router.get("/events/{event_id}/thumbnail.{extension}")
 def event_thumbnail(
     request: Request,
     event_id: str,
+    extension: str,
     max_cache_age: int = Query(
         2592000, description="Max cache age in seconds. Default 30 days in seconds."
     ),
@@ -763,11 +887,15 @@ def event_thumbnail(
     thumbnail_bytes = None
     event_complete = False
     try:
-        event = Event.get(Event.id == event_id)
+        event: Event = Event.get(Event.id == event_id)
         if event.end_time is not None:
             event_complete = True
-        thumbnail_bytes = base64.b64decode(event.thumbnail)
+
+        thumbnail_bytes = get_event_thumbnail_bytes(event)
     except DoesNotExist:
+        thumbnail_bytes = None
+
+    if thumbnail_bytes is None:
         # see if the object is currently being tracked
         try:
             camera_states = request.app.detected_frames_processor.camera_states.values()
@@ -775,7 +903,7 @@ def event_thumbnail(
                 if event_id in camera_state.tracked_objects:
                     tracked_obj = camera_state.tracked_objects.get(event_id)
                     if tracked_obj is not None:
-                        thumbnail_bytes = tracked_obj.get_thumbnail()
+                        thumbnail_bytes = tracked_obj.get_thumbnail(extension)
         except Exception:
             return JSONResponse(
                 content={"success": False, "message": "Event not found"},
@@ -790,8 +918,8 @@ def event_thumbnail(
 
     # android notifications prefer a 2:1 ratio
     if format == "android":
-        jpg_as_np = np.frombuffer(thumbnail_bytes, dtype=np.uint8)
-        img = cv2.imdecode(jpg_as_np, flags=1)
+        img_as_np = np.frombuffer(thumbnail_bytes, dtype=np.uint8)
+        img = cv2.imdecode(img_as_np, flags=1)
         thumbnail = cv2.copyMakeBorder(
             img,
             0,
@@ -801,17 +929,25 @@ def event_thumbnail(
             cv2.BORDER_CONSTANT,
             (0, 0, 0),
         )
-        ret, jpg = cv2.imencode(".jpg", thumbnail, [int(cv2.IMWRITE_JPEG_QUALITY), 70])
-        thumbnail_bytes = jpg.tobytes()
+
+        quality_params = None
+
+        if extension == "jpg" or extension == "jpeg":
+            quality_params = [int(cv2.IMWRITE_JPEG_QUALITY), 70]
+        elif extension == "webp":
+            quality_params = [int(cv2.IMWRITE_WEBP_QUALITY), 60]
+
+        _, img = cv2.imencode(f".{extension}", thumbnail, quality_params)
+        thumbnail_bytes = img.tobytes()
 
     return Response(
         thumbnail_bytes,
-        media_type="image/jpeg",
+        media_type=f"image/{extension}",
         headers={
             "Cache-Control": f"private, max-age={max_cache_age}"
             if event_complete
             else "no-store",
-            "Content-Type": "image/jpeg",
+            "Content-Type": f"image/{extension}",
         },
     )
 
@@ -1035,30 +1171,8 @@ def event_clip(request: Request, event_id: str):
             content={"success": False, "message": "Clip not available"}, status_code=404
         )
 
-    file_name = f"{event.camera}-{event.id}.mp4"
-    clip_path = os.path.join(CLIPS_DIR, file_name)
-
-    if not os.path.isfile(clip_path):
-        end_ts = (
-            datetime.now().timestamp() if event.end_time is None else event.end_time
-        )
-        return recording_clip(request, event.camera, event.start_time, end_ts)
-
-    headers = {
-        "Content-Description": "File Transfer",
-        "Cache-Control": "no-cache",
-        "Content-Type": "video/mp4",
-        "Content-Length": str(os.path.getsize(clip_path)),
-        # nginx: https://nginx.org/en/docs/http/ngx_http_proxy_module.html#proxy_ignore_headers
-        "X-Accel-Redirect": f"/clips/{file_name}",
-    }
-
-    return FileResponse(
-        clip_path,
-        media_type="video/mp4",
-        filename=file_name,
-        headers=headers,
-    )
+    end_ts = datetime.now().timestamp() if event.end_time is None else event.end_time
+    return recording_clip(request, event.camera, event.start_time, end_ts)
 
 
 @router.get("/events/{event_id}/preview.gif")
diff --git a/frigate/api/notification.py b/frigate/api/notification.py
index 0ae1cc9d0..96ba96fdc 100644
--- a/frigate/api/notification.py
+++ b/frigate/api/notification.py
@@ -2,6 +2,7 @@
 
 import logging
 import os
+from typing import Any
 
 from cryptography.hazmat.primitives import serialization
 from fastapi import APIRouter, Request
@@ -20,7 +21,12 @@ router = APIRouter(tags=[Tags.notifications])
 
 @router.get("/notifications/pubkey")
 def get_vapid_pub_key(request: Request):
-    if not request.app.frigate_config.notifications.enabled:
+    config = request.app.frigate_config
+    notifications_enabled = config.notifications.enabled
+    camera_notifications_enabled = [
+        c for c in config.cameras.values() if c.enabled and c.notifications.enabled
+    ]
+    if not (notifications_enabled or camera_notifications_enabled):
         return JSONResponse(
             content=({"success": False, "message": "Notifications are not enabled."}),
             status_code=400,
@@ -41,7 +47,7 @@ def register_notifications(request: Request, body: dict = None):
     else:
         username = "admin"
 
-    json: dict[str, any] = body or {}
+    json: dict[str, Any] = body or {}
     sub = json.get("sub")
 
     if not sub:
diff --git a/frigate/api/preview.py b/frigate/api/preview.py
index d14a15ff1..2db2326ab 100644
--- a/frigate/api/preview.py
+++ b/frigate/api/preview.py
@@ -9,7 +9,7 @@ from fastapi import APIRouter
 from fastapi.responses import JSONResponse
 
 from frigate.api.defs.tags import Tags
-from frigate.const import CACHE_DIR, PREVIEW_FRAME_TYPE
+from frigate.const import BASE_DIR, CACHE_DIR, PREVIEW_FRAME_TYPE
 from frigate.models import Previews
 
 logger = logging.getLogger(__name__)
@@ -52,7 +52,7 @@ def preview_ts(camera_name: str, start_ts: float, end_ts: float):
         clips.append(
             {
                 "camera": preview["camera"],
-                "src": preview["path"].replace("/media/frigate", ""),
+                "src": preview["path"].replace(BASE_DIR, ""),
                 "type": "video/mp4",
                 "start": preview["start_time"],
                 "end": preview["end_time"],
diff --git a/frigate/api/review.py b/frigate/api/review.py
index 9266e1f8c..e6d010db7 100644
--- a/frigate/api/review.py
+++ b/frigate/api/review.py
@@ -9,9 +9,10 @@ import pandas as pd
 from fastapi import APIRouter
 from fastapi.params import Depends
 from fastapi.responses import JSONResponse
-from peewee import Case, DoesNotExist, fn, operator
+from peewee import Case, DoesNotExist, IntegrityError, fn, operator
 from playhouse.shortcuts import model_to_dict
 
+from frigate.api.auth import get_current_user, require_role
 from frigate.api.defs.query.review_query_parameters import (
     ReviewActivityMotionQueryParams,
     ReviewQueryParams,
@@ -25,7 +26,7 @@ from frigate.api.defs.response.review_response import (
     ReviewSummaryResponse,
 )
 from frigate.api.defs.tags import Tags
-from frigate.models import Recordings, ReviewSegment
+from frigate.models import Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
 from frigate.util.builtin import get_tz_modifiers
 
@@ -35,7 +36,15 @@ router = APIRouter(tags=[Tags.review])
 
 
 @router.get("/review", response_model=list[ReviewSegmentResponse])
-def review(params: ReviewQueryParams = Depends()):
+async def review(
+    params: ReviewQueryParams = Depends(),
+    current_user: dict = Depends(get_current_user),
+):
+    if isinstance(current_user, JSONResponse):
+        return current_user
+
+    user_id = current_user["username"]
+
     cameras = params.cameras
     labels = params.labels
     zones = params.zones
@@ -49,13 +58,8 @@ def review(params: ReviewQueryParams = Depends()):
     )
 
     clauses = [
-        (
-            (ReviewSegment.start_time > after)
-            & (
-                (ReviewSegment.end_time.is_null(True))
-                | (ReviewSegment.end_time < before)
-            )
-        )
+        (ReviewSegment.start_time < before)
+        & ((ReviewSegment.end_time.is_null(True)) | (ReviewSegment.end_time > after))
     ]
 
     if cameras != "all":
@@ -73,9 +77,7 @@ def review(params: ReviewQueryParams = Depends()):
                 (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*')
                 | (ReviewSegment.data["audio"].cast("text") % f'*"{label}"*')
             )
-
-        label_clause = reduce(operator.or_, label_clauses)
-        clauses.append((label_clause))
+        clauses.append(reduce(operator.or_, label_clauses))
 
     if zones != "all":
         # use matching so segments with multiple zones
@@ -87,34 +89,88 @@ def review(params: ReviewQueryParams = Depends()):
             zone_clauses.append(
                 (ReviewSegment.data["zones"].cast("text") % f'*"{zone}"*')
             )
-
-        zone_clause = reduce(operator.or_, zone_clauses)
-        clauses.append((zone_clause))
-
-    if reviewed == 0:
-        clauses.append((ReviewSegment.has_been_reviewed == False))
+        clauses.append(reduce(operator.or_, zone_clauses))
 
     if severity:
         clauses.append((ReviewSegment.severity == severity))
 
-    review = (
-        ReviewSegment.select()
+    # Join with UserReviewStatus to get per-user review status
+    review_query = (
+        ReviewSegment.select(
+            ReviewSegment.id,
+            ReviewSegment.camera,
+            ReviewSegment.start_time,
+            ReviewSegment.end_time,
+            ReviewSegment.severity,
+            ReviewSegment.thumb_path,
+            ReviewSegment.data,
+            fn.COALESCE(UserReviewStatus.has_been_reviewed, False).alias(
+                "has_been_reviewed"
+            ),
+        )
+        .left_outer_join(
+            UserReviewStatus,
+            on=(
+                (ReviewSegment.id == UserReviewStatus.review_segment)
+                & (UserReviewStatus.user_id == user_id)
+            ),
+        )
         .where(reduce(operator.and_, clauses))
-        .order_by(ReviewSegment.severity.asc())
+    )
+
+    # Filter unreviewed items without subquery
+    if reviewed == 0:
+        review_query = review_query.where(
+            (UserReviewStatus.has_been_reviewed == False)
+            | (UserReviewStatus.has_been_reviewed.is_null())
+        )
+
+    # Apply ordering and limit
+    review_query = (
+        review_query.order_by(ReviewSegment.severity.asc())
         .order_by(ReviewSegment.start_time.desc())
         .limit(limit)
         .dicts()
         .iterator()
     )
 
-    return JSONResponse(content=[r for r in review])
+    return JSONResponse(content=[r for r in review_query])
+
+
+@router.get("/review_ids", response_model=list[ReviewSegmentResponse])
+def review_ids(ids: str):
+    ids = ids.split(",")
+
+    if not ids:
+        return JSONResponse(
+            content=({"success": False, "message": "Valid list of ids must be sent"}),
+            status_code=400,
+        )
+
+    try:
+        reviews = (
+            ReviewSegment.select().where(ReviewSegment.id << ids).dicts().iterator()
+        )
+        return JSONResponse(list(reviews))
+    except Exception:
+        return JSONResponse(
+            content=({"success": False, "message": "Review segments not found"}),
+            status_code=400,
+        )
 
 
 @router.get("/review/summary", response_model=ReviewSummaryResponse)
-def review_summary(params: ReviewSummaryQueryParams = Depends()):
+async def review_summary(
+    params: ReviewSummaryQueryParams = Depends(),
+    current_user: dict = Depends(get_current_user),
+):
+    if isinstance(current_user, JSONResponse):
+        return current_user
+
+    user_id = current_user["username"]
+
     hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
     day_ago = (datetime.datetime.now() - datetime.timedelta(hours=24)).timestamp()
-    month_ago = (datetime.datetime.now() - datetime.timedelta(days=30)).timestamp()
 
     cameras = params.cameras
     labels = params.labels
@@ -137,10 +193,7 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                 (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*')
                 | (ReviewSegment.data["audio"].cast("text") % f'*"{label}"*')
             )
-
-        label_clause = reduce(operator.or_, label_clauses)
-        clauses.append((label_clause))
-
+        clauses.append(reduce(operator.or_, label_clauses))
     if zones != "all":
         # use matching so segments with multiple zones
         # still match on a search where any zone matches
@@ -149,21 +202,20 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
 
         for zone in filtered_zones:
             zone_clauses.append(
-                (ReviewSegment.data["zones"].cast("text") % f'*"{zone}"*')
+                ReviewSegment.data["zones"].cast("text") % f'*"{zone}"*'
             )
+        clauses.append(reduce(operator.or_, zone_clauses))
 
-        zone_clause = reduce(operator.or_, zone_clauses)
-        clauses.append((zone_clause))
-
-    last_24 = (
+    last_24_query = (
         ReviewSegment.select(
             fn.SUM(
                 Case(
                     None,
                     [
                         (
-                            (ReviewSegment.severity == SeverityEnum.alert),
-                            ReviewSegment.has_been_reviewed,
+                            (ReviewSegment.severity == SeverityEnum.alert)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
                         )
                     ],
                     0,
@@ -174,8 +226,9 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                     None,
                     [
                         (
-                            (ReviewSegment.severity == SeverityEnum.detection),
-                            ReviewSegment.has_been_reviewed,
+                            (ReviewSegment.severity == SeverityEnum.detection)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
                         )
                     ],
                     0,
@@ -206,12 +259,19 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                 )
             ).alias("total_detection"),
         )
+        .left_outer_join(
+            UserReviewStatus,
+            on=(
+                (ReviewSegment.id == UserReviewStatus.review_segment)
+                & (UserReviewStatus.user_id == user_id)
+            ),
+        )
         .where(reduce(operator.and_, clauses))
         .dicts()
         .get()
     )
 
-    clauses = [(ReviewSegment.start_time > month_ago)]
+    clauses = []
 
     if cameras != "all":
         camera_list = cameras.split(",")
@@ -225,14 +285,12 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
 
         for label in filtered_labels:
             label_clauses.append(
-                (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*')
+                ReviewSegment.data["objects"].cast("text") % f'*"{label}"*'
             )
-
-        label_clause = reduce(operator.or_, label_clauses)
-        clauses.append((label_clause))
+        clauses.append(reduce(operator.or_, label_clauses))
 
     day_in_seconds = 60 * 60 * 24
-    last_month = (
+    last_month_query = (
         ReviewSegment.select(
             fn.strftime(
                 "%Y-%m-%d",
@@ -248,8 +306,9 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                     None,
                     [
                         (
-                            (ReviewSegment.severity == SeverityEnum.alert),
-                            ReviewSegment.has_been_reviewed,
+                            (ReviewSegment.severity == SeverityEnum.alert)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
                         )
                     ],
                     0,
@@ -260,8 +319,9 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                     None,
                     [
                         (
-                            (ReviewSegment.severity == SeverityEnum.detection),
-                            ReviewSegment.has_been_reviewed,
+                            (ReviewSegment.severity == SeverityEnum.detection)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
                         )
                     ],
                     0,
@@ -292,28 +352,59 @@ def review_summary(params: ReviewSummaryQueryParams = Depends()):
                 )
             ).alias("total_detection"),
         )
-        .where(reduce(operator.and_, clauses))
+        .left_outer_join(
+            UserReviewStatus,
+            on=(
+                (ReviewSegment.id == UserReviewStatus.review_segment)
+                & (UserReviewStatus.user_id == user_id)
+            ),
+        )
+        .where(reduce(operator.and_, clauses) if clauses else True)
         .group_by(
-            (ReviewSegment.start_time + seconds_offset).cast("int") / day_in_seconds,
+            (ReviewSegment.start_time + seconds_offset).cast("int") / day_in_seconds
         )
         .order_by(ReviewSegment.start_time.desc())
     )
 
     data = {
-        "last24Hours": last_24,
+        "last24Hours": last_24_query,
     }
 
-    for e in last_month.dicts().iterator():
+    for e in last_month_query.dicts().iterator():
         data[e["day"]] = e
 
     return JSONResponse(content=data)
 
 
 @router.post("/reviews/viewed", response_model=GenericResponse)
-def set_multiple_reviewed(body: ReviewModifyMultipleBody):
-    ReviewSegment.update(has_been_reviewed=True).where(
-        ReviewSegment.id << body.ids
-    ).execute()
+async def set_multiple_reviewed(
+    body: ReviewModifyMultipleBody,
+    current_user: dict = Depends(get_current_user),
+):
+    if isinstance(current_user, JSONResponse):
+        return current_user
+
+    user_id = current_user["username"]
+
+    for review_id in body.ids:
+        try:
+            review_status = UserReviewStatus.get(
+                UserReviewStatus.user_id == user_id,
+                UserReviewStatus.review_segment == review_id,
+            )
+            # If it exists and isn’t reviewed, update it
+            if not review_status.has_been_reviewed:
+                review_status.has_been_reviewed = True
+                review_status.save()
+        except DoesNotExist:
+            try:
+                UserReviewStatus.create(
+                    user_id=user_id,
+                    review_segment=ReviewSegment.get(id=review_id),
+                    has_been_reviewed=True,
+                )
+            except (DoesNotExist, IntegrityError):
+                pass
 
     return JSONResponse(
         content=({"success": True, "message": "Reviewed multiple items"}),
@@ -321,7 +412,11 @@ def set_multiple_reviewed(body: ReviewModifyMultipleBody):
     )
 
 
-@router.post("/reviews/delete", response_model=GenericResponse)
+@router.post(
+    "/reviews/delete",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+)
 def delete_reviews(body: ReviewModifyMultipleBody):
     list_of_ids = body.ids
     reviews = (
@@ -362,6 +457,9 @@ def delete_reviews(body: ReviewModifyMultipleBody):
     # delete recordings and review segments
     Recordings.delete().where(Recordings.id << recording_ids).execute()
     ReviewSegment.delete().where(ReviewSegment.id << list_of_ids).execute()
+    UserReviewStatus.delete().where(
+        UserReviewStatus.review_segment << list_of_ids
+    ).execute()
 
     return JSONResponse(
         content=({"success": True, "message": "Deleted review items."}), status_code=200
@@ -475,7 +573,15 @@ def get_review(review_id: str):
 
 
 @router.delete("/review/{review_id}/viewed", response_model=GenericResponse)
-def set_not_reviewed(review_id: str):
+async def set_not_reviewed(
+    review_id: str,
+    current_user: dict = Depends(get_current_user),
+):
+    if isinstance(current_user, JSONResponse):
+        return current_user
+
+    user_id = current_user["username"]
+
     try:
         review: ReviewSegment = ReviewSegment.get(ReviewSegment.id == review_id)
     except DoesNotExist:
@@ -486,8 +592,15 @@ def set_not_reviewed(review_id: str):
             status_code=404,
         )
 
-    review.has_been_reviewed = False
-    review.save()
+    try:
+        user_review = UserReviewStatus.get(
+            UserReviewStatus.user_id == user_id,
+            UserReviewStatus.review_segment == review,
+        )
+        # we could update here instead of delete if we need
+        user_review.delete_instance()
+    except DoesNotExist:
+        pass  # Already effectively "not reviewed"
 
     return JSONResponse(
         content=({"success": True, "message": f"Set Review {review_id} as not viewed"}),
diff --git a/frigate/app.py b/frigate/app.py
index 23facba40..cc596a98a 100644
--- a/frigate/app.py
+++ b/frigate/app.py
@@ -6,6 +6,7 @@ import secrets
 import shutil
 from multiprocessing import Queue
 from multiprocessing.synchronize import Event as MpEvent
+from pathlib import Path
 from typing import Optional
 
 import psutil
@@ -17,12 +18,10 @@ import frigate.util as util
 from frigate.api.auth import hash_password
 from frigate.api.fastapi_app import create_fastapi_app
 from frigate.camera import CameraMetrics, PTZMetrics
+from frigate.comms.base_communicator import Communicator
 from frigate.comms.config_updater import ConfigPublisher
-from frigate.comms.dispatcher import Communicator, Dispatcher
-from frigate.comms.event_metadata_updater import (
-    EventMetadataPublisher,
-    EventMetadataTypeEnum,
-)
+from frigate.comms.dispatcher import Dispatcher
+from frigate.comms.event_metadata_updater import EventMetadataPublisher
 from frigate.comms.inter_process import InterProcessCommunicator
 from frigate.comms.mqtt import MqttClient
 from frigate.comms.webpush import WebPushClient
@@ -34,16 +33,19 @@ from frigate.const import (
     CLIPS_DIR,
     CONFIG_DIR,
     EXPORT_DIR,
+    FACE_DIR,
     MODEL_CACHE_DIR,
     RECORD_DIR,
     SHM_FRAMES_VAR,
+    THUMB_DIR,
 )
+from frigate.data_processing.types import DataProcessorMetrics
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.embeddings import EmbeddingsContext, manage_embeddings
 from frigate.events.audio import AudioProcessor
 from frigate.events.cleanup import EventCleanup
-from frigate.events.external import ExternalEventProcessor
 from frigate.events.maintainer import EventProcessor
+from frigate.log import _stop_logging
 from frigate.models import (
     Event,
     Export,
@@ -55,8 +57,7 @@ from frigate.models import (
     Timeline,
     User,
 )
-from frigate.object_detection import ObjectDetectProcess
-from frigate.object_processing import TrackedObjectProcessor
+from frigate.object_detection.base import ObjectDetectProcess
 from frigate.output.output import output_frames
 from frigate.ptz.autotrack import PtzAutoTrackerThread
 from frigate.ptz.onvif import OnvifController
@@ -68,6 +69,7 @@ from frigate.stats.emitter import StatsEmitter
 from frigate.stats.util import stats_init
 from frigate.storage import StorageMaintainer
 from frigate.timeline import TimelineProcessor
+from frigate.track.object_processing import TrackedObjectProcessor
 from frigate.util.builtin import empty_and_close_queue
 from frigate.util.image import SharedMemoryFrameManager, UntrackedSharedMemory
 from frigate.util.object import get_camera_regions_grid
@@ -89,6 +91,15 @@ class FrigateApp:
         self.detection_shms: list[mp.shared_memory.SharedMemory] = []
         self.log_queue: Queue = mp.Queue()
         self.camera_metrics: dict[str, CameraMetrics] = {}
+        self.embeddings_metrics: DataProcessorMetrics | None = (
+            DataProcessorMetrics()
+            if (
+                config.semantic_search.enabled
+                or config.lpr.enabled
+                or config.face_recognition.enabled
+            )
+            else None
+        )
         self.ptz_metrics: dict[str, PTZMetrics] = {}
         self.processes: dict[str, int] = {}
         self.embeddings: Optional[EmbeddingsContext] = None
@@ -97,14 +108,20 @@ class FrigateApp:
         self.config = config
 
     def ensure_dirs(self) -> None:
-        for d in [
+        dirs = [
             CONFIG_DIR,
             RECORD_DIR,
+            THUMB_DIR,
             f"{CLIPS_DIR}/cache",
             CACHE_DIR,
             MODEL_CACHE_DIR,
             EXPORT_DIR,
-        ]:
+        ]
+
+        if self.config.face_recognition.enabled:
+            dirs.append(FACE_DIR)
+
+        for d in dirs:
             if not os.path.exists(d) and not os.path.islink(d):
                 logger.info(f"Creating directory: {d}")
                 os.makedirs(d)
@@ -224,13 +241,25 @@ class FrigateApp:
         logger.info(f"Review process started: {review_segment_process.pid}")
 
     def init_embeddings_manager(self) -> None:
-        if not self.config.semantic_search.enabled:
+        genai_cameras = [
+            c for c in self.config.cameras.values() if c.enabled and c.genai.enabled
+        ]
+
+        if (
+            not self.config.semantic_search.enabled
+            and not genai_cameras
+            and not self.config.lpr.enabled
+            and not self.config.face_recognition.enabled
+        ):
             return
 
         embedding_process = util.Process(
             target=manage_embeddings,
             name="embeddings_manager",
-            args=(self.config,),
+            args=(
+                self.config,
+                self.embeddings_metrics,
+            ),
         )
         embedding_process.daemon = True
         self.embedding_process = embedding_process
@@ -278,19 +307,23 @@ class FrigateApp:
             migrate_exports(self.config.ffmpeg, list(self.config.cameras.keys()))
 
     def init_embeddings_client(self) -> None:
-        if self.config.semantic_search.enabled:
+        genai_cameras = [
+            c for c in self.config.cameras.values() if c.enabled and c.genai.enabled
+        ]
+
+        if (
+            self.config.semantic_search.enabled
+            or self.config.lpr.enabled
+            or genai_cameras
+            or self.config.face_recognition.enabled
+        ):
             # Create a client for other processes to use
             self.embeddings = EmbeddingsContext(self.db)
 
-    def init_external_event_processor(self) -> None:
-        self.external_event_processor = ExternalEventProcessor(self.config)
-
     def init_inter_process_communicator(self) -> None:
         self.inter_process_communicator = InterProcessCommunicator()
         self.inter_config_updater = ConfigPublisher()
-        self.event_metadata_updater = EventMetadataPublisher(
-            EventMetadataTypeEnum.regenerate_description
-        )
+        self.event_metadata_updater = EventMetadataPublisher()
         self.inter_zmq_proxy = ZmqProxy()
 
     def init_onvif(self) -> None:
@@ -302,8 +335,14 @@ class FrigateApp:
         if self.config.mqtt.enabled:
             comms.append(MqttClient(self.config))
 
-        if self.config.notifications.enabled_in_config:
-            comms.append(WebPushClient(self.config))
+        notification_cameras = [
+            c
+            for c in self.config.cameras.values()
+            if c.enabled and c.notifications.enabled_in_config
+        ]
+
+        if notification_cameras:
+            comms.append(WebPushClient(self.config, self.stop_event))
 
         comms.append(WebSocketClient(self.config))
         comms.append(self.inter_process_communicator)
@@ -402,7 +441,7 @@ class FrigateApp:
 
     def start_camera_processors(self) -> None:
         for name, config in self.config.cameras.items():
-            if not self.config.cameras[name].enabled:
+            if not self.config.cameras[name].enabled_in_config:
                 logger.info(f"Camera processor not started for disabled camera {name}")
                 continue
 
@@ -431,7 +470,7 @@ class FrigateApp:
         shm_frame_count = self.shm_frame_count()
 
         for name, config in self.config.cameras.items():
-            if not self.config.cameras[name].enabled:
+            if not self.config.cameras[name].enabled_in_config:
                 logger.info(f"Capture process not started for disabled camera {name}")
                 continue
 
@@ -492,7 +531,11 @@ class FrigateApp:
         self.stats_emitter = StatsEmitter(
             self.config,
             stats_init(
-                self.config, self.camera_metrics, self.detectors, self.processes
+                self.config,
+                self.camera_metrics,
+                self.embeddings_metrics,
+                self.detectors,
+                self.processes,
             ),
             self.stop_event,
         )
@@ -551,6 +594,7 @@ class FrigateApp:
                 User.insert(
                     {
                         User.username: "admin",
+                        User.role: "admin",
                         User.password_hash: password_hash,
                         User.notification_tokens: [],
                     }
@@ -571,6 +615,7 @@ class FrigateApp:
                 )
                 User.replace(
                     username="admin",
+                    role="admin",
                     password_hash=password_hash,
                     notification_tokens=[],
                 ).execute()
@@ -614,7 +659,6 @@ class FrigateApp:
         self.start_camera_capture_processes()
         self.start_audio_processor()
         self.start_storage_maintainer()
-        self.init_external_event_processor()
         self.start_stats_emitter()
         self.start_timeline_processor()
         self.start_event_processor()
@@ -633,7 +677,6 @@ class FrigateApp:
                     self.detected_frames_processor,
                     self.storage_maintainer,
                     self.onvif_controller,
-                    self.external_event_processor,
                     self.stats_emitter,
                     self.event_metadata_updater,
                 ),
@@ -647,6 +690,9 @@ class FrigateApp:
     def stop(self) -> None:
         logger.info("Stopping...")
 
+        # used by the docker healthcheck
+        Path("/dev/shm/.frigate-is-stopping").touch()
+
         self.stop_event.set()
 
         # set an end_time on entries without an end_time before exiting
@@ -662,6 +708,10 @@ class FrigateApp:
             self.audio_process.terminate()
             self.audio_process.join()
 
+        # stop the onvif controller
+        if self.onvif_controller:
+            self.onvif_controller.close()
+
         # ensure the capture processes are done
         for camera, metrics in self.camera_metrics.items():
             capture_process = metrics.capture_process
@@ -705,7 +755,6 @@ class FrigateApp:
         self.review_segment_process.terminate()
         self.review_segment_process.join()
 
-        self.external_event_processor.stop()
         self.dispatcher.stop()
         self.ptz_autotracker_thread.join()
 
@@ -731,4 +780,7 @@ class FrigateApp:
             shm.close()
             shm.unlink()
 
+        # exit the mp Manager process
+        _stop_logging()
+
         os._exit(os.EX_OK)
diff --git a/frigate/camera/activity_manager.py b/frigate/camera/activity_manager.py
new file mode 100644
index 000000000..6039a07f6
--- /dev/null
+++ b/frigate/camera/activity_manager.py
@@ -0,0 +1,134 @@
+"""Manage camera activity and updating listeners."""
+
+from collections import Counter
+from typing import Any, Callable
+
+from frigate.config.config import FrigateConfig
+
+
+class CameraActivityManager:
+    def __init__(
+        self, config: FrigateConfig, publish: Callable[[str, Any], None]
+    ) -> None:
+        self.config = config
+        self.publish = publish
+        self.last_camera_activity: dict[str, dict[str, Any]] = {}
+        self.camera_all_object_counts: dict[str, Counter] = {}
+        self.camera_active_object_counts: dict[str, Counter] = {}
+        self.zone_all_object_counts: dict[str, Counter] = {}
+        self.zone_active_object_counts: dict[str, Counter] = {}
+        self.all_zone_labels: dict[str, set[str]] = {}
+
+        for camera_config in config.cameras.values():
+            if not camera_config.enabled_in_config:
+                continue
+
+            self.last_camera_activity[camera_config.name] = {}
+            self.camera_all_object_counts[camera_config.name] = Counter()
+            self.camera_active_object_counts[camera_config.name] = Counter()
+
+            for zone, zone_config in camera_config.zones.items():
+                if zone not in self.all_zone_labels:
+                    self.zone_all_object_counts[zone] = Counter()
+                    self.zone_active_object_counts[zone] = Counter()
+                    self.all_zone_labels[zone] = set()
+
+                self.all_zone_labels[zone].update(
+                    zone_config.objects
+                    if zone_config.objects
+                    else camera_config.objects.track
+                )
+
+    def update_activity(self, new_activity: dict[str, dict[str, Any]]) -> None:
+        all_objects: list[dict[str, Any]] = []
+
+        for camera in new_activity.keys():
+            new_objects = new_activity[camera].get("objects", [])
+            all_objects.extend(new_objects)
+
+            if self.last_camera_activity.get(camera, {}).get("objects") != new_objects:
+                self.compare_camera_activity(camera, new_objects)
+
+        # run through every zone, getting a count of objects in that zone right now
+        for zone, labels in self.all_zone_labels.items():
+            all_zone_objects = Counter(
+                obj["label"].replace("-verified", "")
+                for obj in all_objects
+                if zone in obj["current_zones"]
+            )
+            active_zone_objects = Counter(
+                obj["label"].replace("-verified", "")
+                for obj in all_objects
+                if zone in obj["current_zones"] and not obj["stationary"]
+            )
+            any_changed = False
+
+            # run through each object and check what topics need to be updated for this zone
+            for label in labels:
+                new_count = all_zone_objects[label]
+                new_active_count = active_zone_objects[label]
+
+                if (
+                    new_count != self.zone_all_object_counts[zone][label]
+                    or label not in self.zone_all_object_counts[zone]
+                ):
+                    any_changed = True
+                    self.publish(f"{zone}/{label}", new_count)
+                    self.zone_all_object_counts[zone][label] = new_count
+
+                if (
+                    new_active_count != self.zone_active_object_counts[zone][label]
+                    or label not in self.zone_active_object_counts[zone]
+                ):
+                    any_changed = True
+                    self.publish(f"{zone}/{label}/active", new_active_count)
+                    self.zone_active_object_counts[zone][label] = new_active_count
+
+            if any_changed:
+                self.publish(f"{zone}/all", sum(list(all_zone_objects.values())))
+                self.publish(
+                    f"{zone}/all/active", sum(list(active_zone_objects.values()))
+                )
+
+        self.last_camera_activity = new_activity
+
+    def compare_camera_activity(
+        self, camera: str, new_activity: dict[str, Any]
+    ) -> None:
+        all_objects = Counter(
+            obj["label"].replace("-verified", "") for obj in new_activity
+        )
+        active_objects = Counter(
+            obj["label"].replace("-verified", "")
+            for obj in new_activity
+            if not obj["stationary"]
+        )
+        any_changed = False
+
+        # run through each object and check what topics need to be updated
+        for label in self.config.cameras[camera].objects.track:
+            if label in self.config.model.non_logo_attributes:
+                continue
+
+            new_count = all_objects[label]
+            new_active_count = active_objects[label]
+
+            if (
+                new_count != self.camera_all_object_counts[camera][label]
+                or label not in self.camera_all_object_counts[camera]
+            ):
+                any_changed = True
+                self.publish(f"{camera}/{label}", new_count)
+                self.camera_all_object_counts[camera][label] = new_count
+
+            if (
+                new_active_count != self.camera_active_object_counts[camera][label]
+                or label not in self.camera_active_object_counts[camera]
+            ):
+                any_changed = True
+                self.publish(f"{camera}/{label}/active", new_active_count)
+                self.camera_active_object_counts[camera][label] = new_active_count
+
+        if any_changed:
+            self.publish(f"{camera}/all", sum(list(all_objects.values())))
+            self.publish(f"{camera}/all/active", sum(list(active_objects.values())))
diff --git a/frigate/camera/state.py b/frigate/camera/state.py
new file mode 100644
index 000000000..06564bce2
--- /dev/null
+++ b/frigate/camera/state.py
@@ -0,0 +1,543 @@
+"""Maintains state of camera."""
+
+import datetime
+import logging
+import os
+import threading
+from collections import defaultdict
+from typing import Any, Callable
+
+import cv2
+import numpy as np
+
+from frigate.config import (
+    FrigateConfig,
+    ZoomingModeEnum,
+)
+from frigate.const import CLIPS_DIR, THUMB_DIR
+from frigate.ptz.autotrack import PtzAutoTrackerThread
+from frigate.track.tracked_object import TrackedObject
+from frigate.util.image import (
+    SharedMemoryFrameManager,
+    draw_box_with_label,
+    draw_timestamp,
+    is_better_thumbnail,
+    is_label_printable,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class CameraState:
+    def __init__(
+        self,
+        name,
+        config: FrigateConfig,
+        frame_manager: SharedMemoryFrameManager,
+        ptz_autotracker_thread: PtzAutoTrackerThread,
+    ):
+        self.name = name
+        self.config = config
+        self.camera_config = config.cameras[name]
+        self.frame_manager = frame_manager
+        self.best_objects: dict[str, TrackedObject] = {}
+        self.tracked_objects: dict[str, TrackedObject] = {}
+        self.frame_cache = {}
+        self.zone_objects = defaultdict(list)
+        self._current_frame = np.zeros(self.camera_config.frame_shape_yuv, np.uint8)
+        self.current_frame_lock = threading.Lock()
+        self.current_frame_time = 0.0
+        self.motion_boxes = []
+        self.regions = []
+        self.previous_frame_id = None
+        self.callbacks = defaultdict(list)
+        self.ptz_autotracker_thread = ptz_autotracker_thread
+        self.prev_enabled = self.camera_config.enabled
+
+    def get_current_frame(self, draw_options: dict[str, Any] = {}):
+        with self.current_frame_lock:
+            frame_copy = np.copy(self._current_frame)
+            frame_time = self.current_frame_time
+            tracked_objects = {k: v.to_dict() for k, v in self.tracked_objects.items()}
+            motion_boxes = self.motion_boxes.copy()
+            regions = self.regions.copy()
+
+        frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
+        # draw on the frame
+        if draw_options.get("mask"):
+            mask_overlay = np.where(self.camera_config.motion.mask == [0])
+            frame_copy[mask_overlay] = [0, 0, 0]
+
+        if draw_options.get("bounding_boxes"):
+            # draw the bounding boxes on the frame
+            for obj in tracked_objects.values():
+                if obj["frame_time"] == frame_time:
+                    if obj["stationary"]:
+                        color = (220, 220, 220)
+                        thickness = 1
+                    else:
+                        thickness = 2
+                        color = self.config.model.colormap.get(
+                            obj["label"], (255, 255, 255)
+                        )
+                else:
+                    thickness = 1
+                    color = (255, 0, 0)
+
+                # draw thicker box around ptz autotracked object
+                if (
+                    self.camera_config.onvif.autotracking.enabled
+                    and self.ptz_autotracker_thread.ptz_autotracker.autotracker_init[
+                        self.name
+                    ]
+                    and self.ptz_autotracker_thread.ptz_autotracker.tracked_object[
+                        self.name
+                    ]
+                    is not None
+                    and obj["id"]
+                    == self.ptz_autotracker_thread.ptz_autotracker.tracked_object[
+                        self.name
+                    ].obj_data["id"]
+                    and obj["frame_time"] == frame_time
+                ):
+                    thickness = 5
+                    color = self.config.model.colormap.get(
+                        obj["label"], (255, 255, 255)
+                    )
+
+                    # debug autotracking zooming - show the zoom factor box
+                    if (
+                        self.camera_config.onvif.autotracking.zooming
+                        != ZoomingModeEnum.disabled
+                    ):
+                        max_target_box = self.ptz_autotracker_thread.ptz_autotracker.tracked_object_metrics[
+                            self.name
+                        ]["max_target_box"]
+                        side_length = max_target_box * (
+                            max(
+                                self.camera_config.detect.width,
+                                self.camera_config.detect.height,
+                            )
+                        )
+
+                        centroid_x = (obj["box"][0] + obj["box"][2]) // 2
+                        centroid_y = (obj["box"][1] + obj["box"][3]) // 2
+                        top_left = (
+                            int(centroid_x - side_length // 2),
+                            int(centroid_y - side_length // 2),
+                        )
+                        bottom_right = (
+                            int(centroid_x + side_length // 2),
+                            int(centroid_y + side_length // 2),
+                        )
+                        cv2.rectangle(
+                            frame_copy,
+                            top_left,
+                            bottom_right,
+                            (255, 255, 0),
+                            2,
+                        )
+
+                # draw the bounding boxes on the frame
+                box = obj["box"]
+                text = (
+                    obj["sub_label"][0]
+                    if (
+                        obj.get("sub_label") and is_label_printable(obj["sub_label"][0])
+                    )
+                    else obj.get("recognized_license_plate", [None])[0]
+                    if (
+                        obj.get("recognized_license_plate")
+                        and obj["recognized_license_plate"][0]
+                    )
+                    else obj["label"]
+                )
+                draw_box_with_label(
+                    frame_copy,
+                    box[0],
+                    box[1],
+                    box[2],
+                    box[3],
+                    text,
+                    f"{obj['score']:.0%} {int(obj['area'])}"
+                    + (
+                        f" {float(obj['current_estimated_speed']):.1f}"
+                        if obj["current_estimated_speed"] != 0
+                        else ""
+                    ),
+                    thickness=thickness,
+                    color=color,
+                )
+
+                # draw any attributes
+                for attribute in obj["current_attributes"]:
+                    box = attribute["box"]
+                    box_area = int((box[2] - box[0]) * (box[3] - box[1]))
+                    draw_box_with_label(
+                        frame_copy,
+                        box[0],
+                        box[1],
+                        box[2],
+                        box[3],
+                        attribute["label"],
+                        f"{attribute['score']:.0%} {str(box_area)}",
+                        thickness=thickness,
+                        color=color,
+                    )
+
+        if draw_options.get("regions"):
+            for region in regions:
+                cv2.rectangle(
+                    frame_copy,
+                    (region[0], region[1]),
+                    (region[2], region[3]),
+                    (0, 255, 0),
+                    2,
+                )
+
+        if draw_options.get("zones"):
+            for name, zone in self.camera_config.zones.items():
+                thickness = (
+                    8
+                    if any(
+                        name in obj["current_zones"] for obj in tracked_objects.values()
+                    )
+                    else 2
+                )
+                cv2.drawContours(frame_copy, [zone.contour], -1, zone.color, thickness)
+
+        if draw_options.get("motion_boxes"):
+            for m_box in motion_boxes:
+                cv2.rectangle(
+                    frame_copy,
+                    (m_box[0], m_box[1]),
+                    (m_box[2], m_box[3]),
+                    (0, 0, 255),
+                    2,
+                )
+
+        if draw_options.get("timestamp"):
+            color = self.camera_config.timestamp_style.color
+            draw_timestamp(
+                frame_copy,
+                frame_time,
+                self.camera_config.timestamp_style.format,
+                font_effect=self.camera_config.timestamp_style.effect,
+                font_thickness=self.camera_config.timestamp_style.thickness,
+                font_color=(color.blue, color.green, color.red),
+                position=self.camera_config.timestamp_style.position,
+            )
+
+        return frame_copy
+
+    def finished(self, obj_id):
+        del self.tracked_objects[obj_id]
+
+    def on(self, event_type: str, callback: Callable[[dict], None]):
+        self.callbacks[event_type].append(callback)
+
+    def update(
+        self,
+        frame_name: str,
+        frame_time: float,
+        current_detections: dict[str, dict[str, Any]],
+        motion_boxes: list[tuple[int, int, int, int]],
+        regions: list[tuple[int, int, int, int]],
+    ):
+        current_frame = self.frame_manager.get(
+            frame_name, self.camera_config.frame_shape_yuv
+        )
+
+        tracked_objects = self.tracked_objects.copy()
+        current_ids = set(current_detections.keys())
+        previous_ids = set(tracked_objects.keys())
+        removed_ids = previous_ids.difference(current_ids)
+        new_ids = current_ids.difference(previous_ids)
+        updated_ids = current_ids.intersection(previous_ids)
+
+        for id in new_ids:
+            logger.debug(f"{self.name}: New tracked object ID: {id}")
+            new_obj = tracked_objects[id] = TrackedObject(
+                self.config.model,
+                self.camera_config,
+                self.config.ui,
+                self.frame_cache,
+                current_detections[id],
+            )
+
+            # add initial frame to frame cache
+            logger.debug(
+                f"{self.name}: New object, adding {frame_time} to frame cache for {id}"
+            )
+            self.frame_cache[frame_time] = {
+                "frame": np.copy(current_frame),
+                "object_id": id,
+            }
+
+            # save initial thumbnail data and best object
+            thumbnail_data = {
+                "frame_time": frame_time,
+                "box": new_obj.obj_data["box"],
+                "area": new_obj.obj_data["area"],
+                "region": new_obj.obj_data["region"],
+                "score": new_obj.obj_data["score"],
+                "attributes": new_obj.obj_data["attributes"],
+                "current_estimated_speed": 0,
+                "velocity_angle": 0,
+                "path_data": [],
+                "recognized_license_plate": None,
+                "recognized_license_plate_score": None,
+            }
+            new_obj.thumbnail_data = thumbnail_data
+            tracked_objects[id].thumbnail_data = thumbnail_data
+            object_type = new_obj.obj_data["label"]
+
+            # call event handlers
+            self.send_mqtt_snapshot(new_obj, object_type)
+
+            for c in self.callbacks["start"]:
+                c(self.name, new_obj, frame_name)
+
+        for id in updated_ids:
+            updated_obj = tracked_objects[id]
+            thumb_update, significant_update, path_update, autotracker_update = (
+                updated_obj.update(
+                    frame_time, current_detections[id], current_frame is not None
+                )
+            )
+
+            if autotracker_update or significant_update:
+                for c in self.callbacks["autotrack"]:
+                    c(self.name, updated_obj, frame_name)
+
+            if thumb_update and current_frame is not None:
+                # ensure this frame is stored in the cache
+                if (
+                    updated_obj.thumbnail_data["frame_time"] == frame_time
+                    and frame_time not in self.frame_cache
+                ):
+                    logger.debug(
+                        f"{self.name}: Existing object, adding {frame_time} to frame cache for {id}"
+                    )
+                    self.frame_cache[frame_time] = {
+                        "frame": np.copy(current_frame),
+                        "object_id": id,
+                    }
+
+                updated_obj.last_updated = frame_time
+
+            # if it has been more than 5 seconds since the last thumb update
+            # and the last update is greater than the last publish or
+            # the object has changed significantly or
+            # the object moved enough to update the path
+            if (
+                (
+                    frame_time - updated_obj.last_published > 5
+                    and updated_obj.last_updated > updated_obj.last_published
+                )
+                or significant_update
+                or path_update
+            ):
+                # call event handlers
+                for c in self.callbacks["update"]:
+                    c(self.name, updated_obj, frame_name)
+                updated_obj.last_published = frame_time
+
+        for id in removed_ids:
+            # publish events to mqtt
+            removed_obj = tracked_objects[id]
+            if "end_time" not in removed_obj.obj_data:
+                removed_obj.obj_data["end_time"] = frame_time
+                logger.debug(f"{self.name}: end callback for object {id}")
+                for c in self.callbacks["end"]:
+                    c(self.name, removed_obj, frame_name)
+
+        # TODO: can i switch to looking this up and only changing when an event ends?
+        # maintain best objects
+        camera_activity: dict[str, list[Any]] = {
+            "motion": len(motion_boxes) > 0,
+            "objects": [],
+        }
+
+        for obj in tracked_objects.values():
+            object_type = obj.obj_data["label"]
+            active = obj.is_active()
+
+            if not obj.false_positive:
+                label = object_type
+                sub_label = None
+
+                if obj.obj_data.get("sub_label"):
+                    if (
+                        obj.obj_data.get("sub_label")[0]
+                        in self.config.model.all_attributes
+                    ):
+                        label = obj.obj_data["sub_label"][0]
+                    else:
+                        label = f"{object_type}-verified"
+                        sub_label = obj.obj_data["sub_label"][0]
+
+                camera_activity["objects"].append(
+                    {
+                        "id": obj.obj_data["id"],
+                        "label": label,
+                        "stationary": not active,
+                        "area": obj.obj_data["area"],
+                        "ratio": obj.obj_data["ratio"],
+                        "score": obj.obj_data["score"],
+                        "sub_label": sub_label,
+                        "current_zones": obj.current_zones,
+                    }
+                )
+
+            # if we don't have access to the current frame or
+            # if the object's thumbnail is not from the current frame, skip
+            if (
+                current_frame is None
+                or obj.thumbnail_data is None
+                or obj.false_positive
+                or obj.thumbnail_data["frame_time"] != frame_time
+            ):
+                continue
+
+            if object_type in self.best_objects:
+                current_best = self.best_objects[object_type]
+                now = datetime.datetime.now().timestamp()
+                # if the object is a higher score than the current best score
+                # or the current object is older than desired, use the new object
+                if (
+                    is_better_thumbnail(
+                        object_type,
+                        current_best.thumbnail_data,
+                        obj.thumbnail_data,
+                        self.camera_config.frame_shape,
+                    )
+                    or (now - current_best.thumbnail_data["frame_time"])
+                    > self.camera_config.best_image_timeout
+                ):
+                    self.send_mqtt_snapshot(obj, object_type)
+            else:
+                self.send_mqtt_snapshot(obj, object_type)
+
+        for c in self.callbacks["camera_activity"]:
+            c(self.name, camera_activity)
+
+        # cleanup thumbnail frame cache
+        current_thumb_frames = {
+            obj.thumbnail_data["frame_time"]
+            for obj in tracked_objects.values()
+            if obj.thumbnail_data is not None
+        }
+        current_best_frames = {
+            obj.thumbnail_data["frame_time"] for obj in self.best_objects.values()
+        }
+        thumb_frames_to_delete = [
+            t
+            for t in self.frame_cache.keys()
+            if t not in current_thumb_frames and t not in current_best_frames
+        ]
+        if len(thumb_frames_to_delete) > 0:
+            logger.debug(f"{self.name}: Current frame cache contents:")
+            for k, v in self.frame_cache.items():
+                logger.debug(f"  frame time: {k}, object id: {v['object_id']}")
+            for obj_id, obj in tracked_objects.items():
+                thumb_time = (
+                    obj.thumbnail_data["frame_time"] if obj.thumbnail_data else None
+                )
+                logger.debug(
+                    f"{self.name}: Tracked object {obj_id} thumbnail frame_time: {thumb_time}, false positive: {obj.false_positive}"
+                )
+        for t in thumb_frames_to_delete:
+            object_id = self.frame_cache[t].get("object_id", "unknown")
+            logger.debug(f"{self.name}: Deleting {t} from frame cache for {object_id}")
+            del self.frame_cache[t]
+
+        with self.current_frame_lock:
+            self.tracked_objects = tracked_objects
+            self.motion_boxes = motion_boxes
+            self.regions = regions
+
+            if current_frame is not None:
+                self.current_frame_time = frame_time
+                self._current_frame = np.copy(current_frame)
+
+                if self.previous_frame_id is not None:
+                    self.frame_manager.close(self.previous_frame_id)
+
+            self.previous_frame_id = frame_name
+
+    def send_mqtt_snapshot(self, new_obj: TrackedObject, object_type: str) -> None:
+        for c in self.callbacks["snapshot"]:
+            updated = c(self.name, new_obj)
+
+            # if the snapshot was not updated, then this object is not a best object
+            # but all new objects should be considered the next best object
+            # so we remove the label from the best objects
+            if updated:
+                self.best_objects[object_type] = new_obj
+            else:
+                if object_type in self.best_objects:
+                    self.best_objects.pop(object_type)
+                break
+
+    def save_manual_event_image(
+        self,
+        frame: np.ndarray | None,
+        event_id: str,
+        label: str,
+        draw: dict[str, list[dict]],
+    ) -> None:
+        img_frame = frame if frame is not None else self.get_current_frame()
+
+        # write clean snapshot if enabled
+        if self.camera_config.snapshots.clean_copy:
+            ret, png = cv2.imencode(".png", img_frame)
+
+            if ret:
+                with open(
+                    os.path.join(
+                        CLIPS_DIR,
+                        f"{self.camera_config.name}-{event_id}-clean.png",
+                    ),
+                    "wb",
+                ) as p:
+                    p.write(png.tobytes())
+
+        # write jpg snapshot with optional annotations
+        if draw.get("boxes") and isinstance(draw.get("boxes"), list):
+            for box in draw.get("boxes"):
+                x = int(box["box"][0] * self.camera_config.detect.width)
+                y = int(box["box"][1] * self.camera_config.detect.height)
+                width = int(box["box"][2] * self.camera_config.detect.width)
+                height = int(box["box"][3] * self.camera_config.detect.height)
+
+                draw_box_with_label(
+                    img_frame,
+                    x,
+                    y,
+                    x + width,
+                    y + height,
+                    label,
+                    f"{box.get('score', '-')}% {int(width * height)}",
+                    thickness=2,
+                    color=box.get("color", (255, 0, 0)),
+                )
+
+        ret, jpg = cv2.imencode(".jpg", img_frame)
+        with open(
+            os.path.join(CLIPS_DIR, f"{self.camera_config.name}-{event_id}.jpg"),
+            "wb",
+        ) as j:
+            j.write(jpg.tobytes())
+
+        # create thumbnail with max height of 175 and save
+        width = int(175 * img_frame.shape[1] / img_frame.shape[0])
+        thumb = cv2.resize(img_frame, dsize=(width, 175), interpolation=cv2.INTER_AREA)
+        thumb_path = os.path.join(THUMB_DIR, self.camera_config.name)
+        os.makedirs(thumb_path, exist_ok=True)
+        cv2.imwrite(os.path.join(thumb_path, f"{event_id}.webp"), thumb)
+
+    def shutdown(self) -> None:
+        for obj in self.tracked_objects.values():
+            if not obj.obj_data.get("end_time"):
+                obj.write_thumbnail_to_disk()
diff --git a/frigate/comms/base_communicator.py b/frigate/comms/base_communicator.py
new file mode 100644
index 000000000..5dfbf1115
--- /dev/null
+++ b/frigate/comms/base_communicator.py
@@ -0,0 +1,21 @@
+from abc import ABC, abstractmethod
+from typing import Any, Callable
+
+
+class Communicator(ABC):
+    """pub/sub model via specific protocol."""
+
+    @abstractmethod
+    def publish(self, topic: str, payload: Any, retain: bool = False) -> None:
+        """Send data via specific protocol."""
+        pass
+
+    @abstractmethod
+    def subscribe(self, receiver: Callable) -> None:
+        """Pass receiver so communicators can pass commands."""
+        pass
+
+    @abstractmethod
+    def stop(self) -> None:
+        """Stop the communicator."""
+        pass
diff --git a/frigate/comms/config_updater.py b/frigate/comms/config_updater.py
index 273103911..06b870c62 100644
--- a/frigate/comms/config_updater.py
+++ b/frigate/comms/config_updater.py
@@ -2,7 +2,7 @@
 
 import multiprocessing as mp
 from multiprocessing.synchronize import Event as MpEvent
-from typing import Optional
+from typing import Any, Optional
 
 import zmq
 
@@ -18,7 +18,7 @@ class ConfigPublisher:
         self.socket.bind(SOCKET_PUB_SUB)
         self.stop_event: MpEvent = mp.Event()
 
-    def publish(self, topic: str, payload: any) -> None:
+    def publish(self, topic: str, payload: Any) -> None:
         """There is no communication back to the processes."""
         self.socket.send_string(topic, flags=zmq.SNDMORE)
         self.socket.send_pyobj(payload)
@@ -32,17 +32,24 @@ class ConfigPublisher:
 class ConfigSubscriber:
     """Simplifies receiving an updated config."""
 
-    def __init__(self, topic: str) -> None:
+    def __init__(self, topic: str, exact=False) -> None:
+        self.topic = topic
+        self.exact = exact
         self.context = zmq.Context()
         self.socket = self.context.socket(zmq.SUB)
         self.socket.setsockopt_string(zmq.SUBSCRIBE, topic)
         self.socket.connect(SOCKET_PUB_SUB)
 
-    def check_for_update(self) -> Optional[tuple[str, any]]:
+    def check_for_update(self) -> Optional[tuple[str, Any]]:
         """Returns updated config or None if no update."""
         try:
             topic = self.socket.recv_string(flags=zmq.NOBLOCK)
-            return (topic, self.socket.recv_pyobj())
+            obj = self.socket.recv_pyobj()
+
+            if not self.exact or self.topic == topic:
+                return (topic, obj)
+            else:
+                return (None, None)
         except zmq.ZMQError:
             return (None, None)
 
diff --git a/frigate/comms/detections_updater.py b/frigate/comms/detections_updater.py
index a60bd0699..1718d1347 100644
--- a/frigate/comms/detections_updater.py
+++ b/frigate/comms/detections_updater.py
@@ -1,7 +1,7 @@
 """Facilitates communication between processes."""
 
 from enum import Enum
-from typing import Optional
+from typing import Any, Optional
 
 from .zmq_proxy import Publisher, Subscriber
 
@@ -11,6 +11,7 @@ class DetectionTypeEnum(str, Enum):
     api = "api"
     video = "video"
     audio = "audio"
+    lpr = "lpr"
 
 
 class DetectionPublisher(Publisher):
@@ -34,10 +35,10 @@ class DetectionSubscriber(Subscriber):
 
     def check_for_update(
         self, timeout: float = None
-    ) -> Optional[tuple[DetectionTypeEnum, any]]:
+    ) -> Optional[tuple[DetectionTypeEnum, Any]]:
         return super().check_for_update(timeout)
 
-    def _return_object(self, topic: str, payload: any) -> any:
+    def _return_object(self, topic: str, payload: Any) -> Any:
         if payload is None:
             return (None, None)
         return (DetectionTypeEnum[topic[len(self.topic_base) :]], payload)
diff --git a/frigate/comms/dispatcher.py b/frigate/comms/dispatcher.py
index 2bddc97a5..87891ec88 100644
--- a/frigate/comms/dispatcher.py
+++ b/frigate/comms/dispatcher.py
@@ -3,16 +3,19 @@
 import datetime
 import json
 import logging
-from abc import ABC, abstractmethod
 from typing import Any, Callable, Optional
 
 from frigate.camera import PTZMetrics
+from frigate.camera.activity_manager import CameraActivityManager
+from frigate.comms.base_communicator import Communicator
 from frigate.comms.config_updater import ConfigPublisher
+from frigate.comms.webpush import WebPushClient
 from frigate.config import BirdseyeModeEnum, FrigateConfig
 from frigate.const import (
     CLEAR_ONGOING_REVIEW_SEGMENTS,
     INSERT_MANY_RECORDINGS,
     INSERT_PREVIEW,
+    NOTIFICATION_TEST,
     REQUEST_REGION_GRID,
     UPDATE_CAMERA_ACTIVITY,
     UPDATE_EMBEDDINGS_REINDEX_PROGRESS,
@@ -29,25 +32,6 @@ from frigate.util.services import restart_frigate
 logger = logging.getLogger(__name__)
 
 
-class Communicator(ABC):
-    """pub/sub model via specific protocol."""
-
-    @abstractmethod
-    def publish(self, topic: str, payload: Any, retain: bool = False) -> None:
-        """Send data via specific protocol."""
-        pass
-
-    @abstractmethod
-    def subscribe(self, receiver: Callable) -> None:
-        """Pass receiver so communicators can pass commands."""
-        pass
-
-    @abstractmethod
-    def stop(self) -> None:
-        """Stop the communicator."""
-        pass
-
-
 class Dispatcher:
     """Handle communication between Frigate and communicators."""
 
@@ -64,30 +48,38 @@ class Dispatcher:
         self.onvif = onvif
         self.ptz_metrics = ptz_metrics
         self.comms = communicators
-        self.camera_activity = {}
+        self.camera_activity = CameraActivityManager(config, self.publish)
         self.model_state = {}
         self.embeddings_reindex = {}
 
         self._camera_settings_handlers: dict[str, Callable] = {
             "audio": self._on_audio_command,
             "detect": self._on_detect_command,
+            "enabled": self._on_enabled_command,
             "improve_contrast": self._on_motion_improve_contrast_command,
             "ptz_autotracker": self._on_ptz_autotracker_command,
             "motion": self._on_motion_command,
             "motion_contour_area": self._on_motion_contour_area_command,
             "motion_threshold": self._on_motion_threshold_command,
+            "notifications": self._on_camera_notification_command,
             "recordings": self._on_recordings_command,
             "snapshots": self._on_snapshots_command,
             "birdseye": self._on_birdseye_command,
             "birdseye_mode": self._on_birdseye_mode_command,
+            "review_alerts": self._on_alerts_command,
+            "review_detections": self._on_detections_command,
         }
         self._global_settings_handlers: dict[str, Callable] = {
-            "notifications": self._on_notification_command,
+            "notifications": self._on_global_notification_command,
         }
 
         for comm in self.comms:
             comm.subscribe(self._receive)
 
+        self.web_push_client = next(
+            (comm for comm in communicators if isinstance(comm, WebPushClient)), None
+        )
+
     def _receive(self, topic: str, payload: str) -> Optional[Any]:
         """Handle receiving of payload from communicators."""
 
@@ -130,7 +122,7 @@ class Dispatcher:
             ).execute()
 
         def handle_update_camera_activity():
-            self.camera_activity = payload
+            self.camera_activity.update_activity(payload)
 
         def handle_update_event_description():
             event: Event = Event.get(Event.id == payload["id"])
@@ -143,6 +135,7 @@ class Dispatcher:
                         "type": TrackedObjectUpdateTypesEnum.description,
                         "id": event.id,
                         "description": event.data["description"],
+                        "camera": event.camera,
                     }
                 ),
             )
@@ -171,17 +164,31 @@ class Dispatcher:
             )
 
         def handle_on_connect():
-            camera_status = self.camera_activity.copy()
+            camera_status = self.camera_activity.last_camera_activity.copy()
+            cameras_with_status = camera_status.keys()
+
+            for camera in self.config.cameras.keys():
+                if camera not in cameras_with_status:
+                    camera_status[camera] = {}
 
-            for camera in camera_status.keys():
                 camera_status[camera]["config"] = {
                     "detect": self.config.cameras[camera].detect.enabled,
+                    "enabled": self.config.cameras[camera].enabled,
                     "snapshots": self.config.cameras[camera].snapshots.enabled,
                     "record": self.config.cameras[camera].record.enabled,
                     "audio": self.config.cameras[camera].audio.enabled,
+                    "notifications": self.config.cameras[camera].notifications.enabled,
+                    "notifications_suspended": int(
+                        self.web_push_client.suspended_cameras.get(camera, 0)
+                    )
+                    if self.web_push_client
+                    and camera in self.web_push_client.suspended_cameras
+                    else 0,
                     "autotracking": self.config.cameras[
                         camera
                     ].onvif.autotracking.enabled,
+                    "alerts": self.config.cameras[camera].review.alerts.enabled,
+                    "detections": self.config.cameras[camera].review.detections.enabled,
                 }
 
             self.publish("camera_activity", json.dumps(camera_status))
@@ -191,6 +198,9 @@ class Dispatcher:
                 json.dumps(self.embeddings_reindex.copy()),
             )
 
+        def handle_notification_test():
+            self.publish("notification_test", "Test notification")
+
         # Dictionary mapping topic to handlers
         topic_handlers = {
             INSERT_MANY_RECORDINGS: handle_insert_many_recordings,
@@ -202,13 +212,14 @@ class Dispatcher:
             UPDATE_EVENT_DESCRIPTION: handle_update_event_description,
             UPDATE_MODEL_STATE: handle_update_model_state,
             UPDATE_EMBEDDINGS_REINDEX_PROGRESS: handle_update_embeddings_reindex_progress,
+            NOTIFICATION_TEST: handle_notification_test,
             "restart": handle_restart,
             "embeddingsReindexProgress": handle_embeddings_reindex_progress,
             "modelState": handle_model_state,
             "onConnect": handle_on_connect,
         }
 
-        if topic.endswith("set") or topic.endswith("ptz"):
+        if topic.endswith("set") or topic.endswith("ptz") or topic.endswith("suspend"):
             try:
                 parts = topic.split("/")
                 if len(parts) == 3 and topic.endswith("set"):
@@ -223,6 +234,11 @@ class Dispatcher:
                     # example /cam_name/ptz payload=MOVE_UP|MOVE_DOWN|STOP...
                     camera_name = parts[-2]
                     handle_camera_command("ptz", camera_name, "", payload)
+                elif len(parts) == 3 and topic.endswith("suspend"):
+                    # example /cam_name/notifications/suspend payload=duration
+                    camera_name = parts[-3]
+                    command = parts[-2]
+                    self._on_camera_notification_suspend(camera_name, payload)
             except IndexError:
                 logger.error(
                     f"Received invalid {topic.split('/')[-1]} command: {topic}"
@@ -269,6 +285,27 @@ class Dispatcher:
         self.config_updater.publish(f"config/detect/{camera_name}", detect_settings)
         self.publish(f"{camera_name}/detect/state", payload, retain=True)
 
+    def _on_enabled_command(self, camera_name: str, payload: str) -> None:
+        """Callback for camera topic."""
+        camera_settings = self.config.cameras[camera_name]
+
+        if payload == "ON":
+            if not self.config.cameras[camera_name].enabled_in_config:
+                logger.error(
+                    "Camera must be enabled in the config to be turned on via MQTT."
+                )
+                return
+            if not camera_settings.enabled:
+                logger.info(f"Turning on camera {camera_name}")
+                camera_settings.enabled = True
+        elif payload == "OFF":
+            if camera_settings.enabled:
+                logger.info(f"Turning off camera {camera_name}")
+                camera_settings.enabled = False
+
+        self.config_updater.publish(f"config/enabled/{camera_name}", camera_settings)
+        self.publish(f"{camera_name}/enabled/state", payload, retain=True)
+
     def _on_motion_command(self, camera_name: str, payload: str) -> None:
         """Callback for motion topic."""
         detect_settings = self.config.cameras[camera_name].detect
@@ -364,16 +401,18 @@ class Dispatcher:
         self.config_updater.publish(f"config/motion/{camera_name}", motion_settings)
         self.publish(f"{camera_name}/motion_threshold/state", payload, retain=True)
 
-    def _on_notification_command(self, payload: str) -> None:
-        """Callback for notification topic."""
+    def _on_global_notification_command(self, payload: str) -> None:
+        """Callback for global notification topic."""
         if payload != "ON" and payload != "OFF":
-            f"Received unsupported value for notification: {payload}"
+            f"Received unsupported value for all notification: {payload}"
             return
 
         notification_settings = self.config.notifications
-        logger.info(f"Setting notifications: {payload}")
+        logger.info(f"Setting all notifications: {payload}")
         notification_settings.enabled = payload == "ON"  # type: ignore[union-attr]
-        self.config_updater.publish("config/notifications", notification_settings)
+        self.config_updater.publish(
+            "config/notifications", {"_global_notifications": notification_settings}
+        )
         self.publish("notifications/state", payload, retain=True)
 
     def _on_audio_command(self, camera_name: str, payload: str) -> None:
@@ -490,3 +529,115 @@ class Dispatcher:
 
         self.config_updater.publish(f"config/birdseye/{camera_name}", birdseye_settings)
         self.publish(f"{camera_name}/birdseye_mode/state", payload, retain=True)
+
+    def _on_camera_notification_command(self, camera_name: str, payload: str) -> None:
+        """Callback for camera level notifications topic."""
+        notification_settings = self.config.cameras[camera_name].notifications
+
+        if payload == "ON":
+            if not self.config.cameras[camera_name].notifications.enabled_in_config:
+                logger.error(
+                    "Notifications must be enabled in the config to be turned on via MQTT."
+                )
+                return
+
+            if not notification_settings.enabled:
+                logger.info(f"Turning on notifications for {camera_name}")
+                notification_settings.enabled = True
+            if (
+                self.web_push_client
+                and camera_name in self.web_push_client.suspended_cameras
+            ):
+                self.web_push_client.suspended_cameras[camera_name] = 0
+        elif payload == "OFF":
+            if notification_settings.enabled:
+                logger.info(f"Turning off notifications for {camera_name}")
+                notification_settings.enabled = False
+            if (
+                self.web_push_client
+                and camera_name in self.web_push_client.suspended_cameras
+            ):
+                self.web_push_client.suspended_cameras[camera_name] = 0
+
+        self.config_updater.publish(
+            "config/notifications", {camera_name: notification_settings}
+        )
+        self.publish(f"{camera_name}/notifications/state", payload, retain=True)
+        self.publish(f"{camera_name}/notifications/suspended", "0", retain=True)
+
+    def _on_camera_notification_suspend(self, camera_name: str, payload: str) -> None:
+        """Callback for camera level notifications suspend topic."""
+        try:
+            duration = int(payload)
+        except ValueError:
+            logger.error(f"Invalid suspension duration: {payload}")
+            return
+
+        if self.web_push_client is None:
+            logger.error("WebPushClient not available for suspension")
+            return
+
+        notification_settings = self.config.cameras[camera_name].notifications
+
+        if not notification_settings.enabled:
+            logger.error(f"Notifications are not enabled for {camera_name}")
+            return
+
+        if duration != 0:
+            self.web_push_client.suspend_notifications(camera_name, duration)
+        else:
+            self.web_push_client.unsuspend_notifications(camera_name)
+
+        self.publish(
+            f"{camera_name}/notifications/suspended",
+            str(
+                int(self.web_push_client.suspended_cameras.get(camera_name, 0))
+                if camera_name in self.web_push_client.suspended_cameras
+                else 0
+            ),
+            retain=True,
+        )
+
+    def _on_alerts_command(self, camera_name: str, payload: str) -> None:
+        """Callback for alerts topic."""
+        review_settings = self.config.cameras[camera_name].review
+
+        if payload == "ON":
+            if not self.config.cameras[camera_name].review.alerts.enabled_in_config:
+                logger.error(
+                    "Alerts must be enabled in the config to be turned on via MQTT."
+                )
+                return
+
+            if not review_settings.alerts.enabled:
+                logger.info(f"Turning on alerts for {camera_name}")
+                review_settings.alerts.enabled = True
+        elif payload == "OFF":
+            if review_settings.alerts.enabled:
+                logger.info(f"Turning off alerts for {camera_name}")
+                review_settings.alerts.enabled = False
+
+        self.config_updater.publish(f"config/review/{camera_name}", review_settings)
+        self.publish(f"{camera_name}/review_alerts/state", payload, retain=True)
+
+    def _on_detections_command(self, camera_name: str, payload: str) -> None:
+        """Callback for detections topic."""
+        review_settings = self.config.cameras[camera_name].review
+
+        if payload == "ON":
+            if not self.config.cameras[camera_name].review.detections.enabled_in_config:
+                logger.error(
+                    "Detections must be enabled in the config to be turned on via MQTT."
+                )
+                return
+
+            if not review_settings.detections.enabled:
+                logger.info(f"Turning on detections for {camera_name}")
+                review_settings.detections.enabled = True
+        elif payload == "OFF":
+            if review_settings.detections.enabled:
+                logger.info(f"Turning off detections for {camera_name}")
+                review_settings.detections.enabled = False
+
+        self.config_updater.publish(f"config/review/{camera_name}", review_settings)
+        self.publish(f"{camera_name}/review_detections/state", payload, retain=True)
diff --git a/frigate/comms/embeddings_updater.py b/frigate/comms/embeddings_updater.py
index 9a13525f8..74a87e60f 100644
--- a/frigate/comms/embeddings_updater.py
+++ b/frigate/comms/embeddings_updater.py
@@ -1,7 +1,7 @@
 """Facilitates communication between processes."""
 
 from enum import Enum
-from typing import Callable
+from typing import Any, Callable
 
 import zmq
 
@@ -9,9 +9,15 @@ SOCKET_REP_REQ = "ipc:///tmp/cache/embeddings"
 
 
 class EmbeddingsRequestEnum(Enum):
+    clear_face_classifier = "clear_face_classifier"
     embed_description = "embed_description"
     embed_thumbnail = "embed_thumbnail"
     generate_search = "generate_search"
+    recognize_face = "recognize_face"
+    register_face = "register_face"
+    reprocess_face = "reprocess_face"
+    reprocess_plate = "reprocess_plate"
+    reindex = "reindex"
 
 
 class EmbeddingsResponder:
@@ -22,7 +28,7 @@ class EmbeddingsResponder:
 
     def check_for_request(self, process: Callable) -> None:
         while True:  # load all messages that are queued
-            has_message, _, _ = zmq.select([self.socket], [], [], 0.1)
+            has_message, _, _ = zmq.select([self.socket], [], [], 0.01)
 
             if not has_message:
                 break
@@ -52,7 +58,7 @@ class EmbeddingsRequestor:
         self.socket = self.context.socket(zmq.REQ)
         self.socket.connect(SOCKET_REP_REQ)
 
-    def send_data(self, topic: str, data: any) -> str:
+    def send_data(self, topic: str, data: Any) -> str:
         """Sends data and then waits for reply."""
         try:
             self.socket.send_json((topic, data))
diff --git a/frigate/comms/event_metadata_updater.py b/frigate/comms/event_metadata_updater.py
index 87e1889ce..6305de5a1 100644
--- a/frigate/comms/event_metadata_updater.py
+++ b/frigate/comms/event_metadata_updater.py
@@ -2,9 +2,7 @@
 
 import logging
 from enum import Enum
-from typing import Optional
-
-from frigate.events.types import RegenerateDescriptionEnum
+from typing import Any
 
 from .zmq_proxy import Publisher, Subscriber
 
@@ -13,7 +11,13 @@ logger = logging.getLogger(__name__)
 
 class EventMetadataTypeEnum(str, Enum):
     all = ""
+    manual_event_create = "manual_event_create"
+    manual_event_end = "manual_event_end"
     regenerate_description = "regenerate_description"
+    sub_label = "sub_label"
+    recognized_license_plate = "recognized_license_plate"
+    lpr_event_create = "lpr_event_create"
+    save_lpr_snapshot = "save_lpr_snapshot"
 
 
 class EventMetadataPublisher(Publisher):
@@ -21,12 +25,11 @@ class EventMetadataPublisher(Publisher):
 
     topic_base = "event_metadata/"
 
-    def __init__(self, topic: EventMetadataTypeEnum) -> None:
-        topic = topic.value
-        super().__init__(topic)
+    def __init__(self) -> None:
+        super().__init__()
 
-    def publish(self, payload: tuple[str, RegenerateDescriptionEnum]) -> None:
-        super().publish(payload)
+    def publish(self, topic: EventMetadataTypeEnum, payload: Any) -> None:
+        super().publish(payload, topic.value)
 
 
 class EventMetadataSubscriber(Subscriber):
@@ -35,17 +38,11 @@ class EventMetadataSubscriber(Subscriber):
     topic_base = "event_metadata/"
 
     def __init__(self, topic: EventMetadataTypeEnum) -> None:
-        topic = topic.value
-        super().__init__(topic)
+        super().__init__(topic.value)
 
-    def check_for_update(
-        self, timeout: float = 1
-    ) -> Optional[tuple[EventMetadataTypeEnum, str, RegenerateDescriptionEnum]]:
-        return super().check_for_update(timeout)
-
-    def _return_object(self, topic: str, payload: any) -> any:
+    def _return_object(self, topic: str, payload: tuple) -> tuple:
         if payload is None:
-            return (None, None, None)
+            return (None, None)
+
         topic = EventMetadataTypeEnum[topic[len(self.topic_base) :]]
-        event_id, source = payload
-        return (topic, event_id, RegenerateDescriptionEnum(source))
+        return (topic, payload)
diff --git a/frigate/comms/events_updater.py b/frigate/comms/events_updater.py
index 98b6ccb7a..b1d7a6328 100644
--- a/frigate/comms/events_updater.py
+++ b/frigate/comms/events_updater.py
@@ -1,5 +1,7 @@
 """Facilitates communication between processes."""
 
+from typing import Any
+
 from frigate.events.types import EventStateEnum, EventTypeEnum
 
 from .zmq_proxy import Publisher, Subscriber
@@ -14,7 +16,7 @@ class EventUpdatePublisher(Publisher):
         super().__init__("update")
 
     def publish(
-        self, payload: tuple[EventTypeEnum, EventStateEnum, str, str, dict[str, any]]
+        self, payload: tuple[EventTypeEnum, EventStateEnum, str, str, dict[str, Any]]
     ) -> None:
         super().publish(payload)
 
@@ -37,7 +39,7 @@ class EventEndPublisher(Publisher):
         super().__init__("finalized")
 
     def publish(
-        self, payload: tuple[EventTypeEnum, EventStateEnum, str, dict[str, any]]
+        self, payload: tuple[EventTypeEnum, EventStateEnum, str, dict[str, Any]]
     ) -> None:
         super().publish(payload)
 
diff --git a/frigate/comms/inter_process.py b/frigate/comms/inter_process.py
index 850e2435c..ee1a78efc 100644
--- a/frigate/comms/inter_process.py
+++ b/frigate/comms/inter_process.py
@@ -3,11 +3,11 @@
 import multiprocessing as mp
 import threading
 from multiprocessing.synchronize import Event as MpEvent
-from typing import Callable
+from typing import Any, Callable
 
 import zmq
 
-from frigate.comms.dispatcher import Communicator
+from frigate.comms.base_communicator import Communicator
 
 SOCKET_REP_REQ = "ipc:///tmp/cache/comms"
 
@@ -63,7 +63,7 @@ class InterProcessRequestor:
         self.socket = self.context.socket(zmq.REQ)
         self.socket.connect(SOCKET_REP_REQ)
 
-    def send_data(self, topic: str, data: any) -> any:
+    def send_data(self, topic: str, data: Any) -> Any:
         """Sends data and then waits for reply."""
         try:
             self.socket.send_json((topic, data))
diff --git a/frigate/comms/mqtt.py b/frigate/comms/mqtt.py
index 5a85a710b..e487b30ee 100644
--- a/frigate/comms/mqtt.py
+++ b/frigate/comms/mqtt.py
@@ -5,7 +5,7 @@ from typing import Any, Callable
 import paho.mqtt.client as mqtt
 from paho.mqtt.enums import CallbackAPIVersion
 
-from frigate.comms.dispatcher import Communicator
+from frigate.comms.base_communicator import Communicator
 from frigate.config import FrigateConfig
 
 logger = logging.getLogger(__name__)
@@ -31,7 +31,10 @@ class MqttClient(Communicator):  # type: ignore[misc]
             return
 
         self.client.publish(
-            f"{self.mqtt_config.topic_prefix}/{topic}", payload, retain=retain
+            f"{self.mqtt_config.topic_prefix}/{topic}",
+            payload,
+            qos=self.config.mqtt.qos,
+            retain=retain,
         )
 
     def stop(self) -> None:
@@ -40,6 +43,11 @@ class MqttClient(Communicator):  # type: ignore[misc]
     def _set_initial_topics(self) -> None:
         """Set initial state topics."""
         for camera_name, camera in self.config.cameras.items():
+            self.publish(
+                f"{camera_name}/enabled/state",
+                "ON" if camera.enabled_in_config else "OFF",
+                retain=True,
+            )
             self.publish(
                 f"{camera_name}/recordings/state",
                 "ON" if camera.record.enabled_in_config else "OFF",
@@ -104,6 +112,16 @@ class MqttClient(Communicator):  # type: ignore[misc]
                 ),
                 retain=True,
             )
+            self.publish(
+                f"{camera_name}/review_alerts/state",
+                "ON" if camera.review.alerts.enabled_in_config else "OFF",
+                retain=True,
+            )
+            self.publish(
+                f"{camera_name}/review_detections/state",
+                "ON" if camera.review.detections.enabled_in_config else "OFF",
+                retain=True,
+            )
 
         if self.config.notifications.enabled_in_config:
             self.publish(
@@ -151,7 +169,7 @@ class MqttClient(Communicator):  # type: ignore[misc]
 
         self.connected = True
         logger.debug("MQTT connected")
-        client.subscribe(f"{self.mqtt_config.topic_prefix}/#")
+        client.subscribe(f"{self.mqtt_config.topic_prefix}/#", qos=self.config.mqtt.qos)
         self._set_initial_topics()
 
     def _on_disconnect(
@@ -183,6 +201,7 @@ class MqttClient(Communicator):  # type: ignore[misc]
 
         # register callbacks
         callback_types = [
+            "enabled",
             "recordings",
             "snapshots",
             "detect",
@@ -194,6 +213,8 @@ class MqttClient(Communicator):  # type: ignore[misc]
             "motion_contour_area",
             "birdseye",
             "birdseye_mode",
+            "review_alerts",
+            "review_detections",
         ]
 
         for name in self.config.cameras.keys():
diff --git a/frigate/comms/recordings_updater.py b/frigate/comms/recordings_updater.py
new file mode 100644
index 000000000..862ec1041
--- /dev/null
+++ b/frigate/comms/recordings_updater.py
@@ -0,0 +1,36 @@
+"""Facilitates communication between processes."""
+
+import logging
+from enum import Enum
+
+from .zmq_proxy import Publisher, Subscriber
+
+logger = logging.getLogger(__name__)
+
+
+class RecordingsDataTypeEnum(str, Enum):
+    all = ""
+    recordings_available_through = "recordings_available_through"
+
+
+class RecordingsDataPublisher(Publisher):
+    """Publishes latest recording data."""
+
+    topic_base = "recordings/"
+
+    def __init__(self, topic: RecordingsDataTypeEnum) -> None:
+        topic = topic.value
+        super().__init__(topic)
+
+    def publish(self, payload: tuple[str, float]) -> None:
+        super().publish(payload)
+
+
+class RecordingsDataSubscriber(Subscriber):
+    """Receives latest recording data."""
+
+    topic_base = "recordings/"
+
+    def __init__(self, topic: RecordingsDataTypeEnum) -> None:
+        topic = topic.value
+        super().__init__(topic)
diff --git a/frigate/comms/webpush.py b/frigate/comms/webpush.py
index abfd52d19..c5986d45c 100644
--- a/frigate/comms/webpush.py
+++ b/frigate/comms/webpush.py
@@ -4,13 +4,18 @@ import datetime
 import json
 import logging
 import os
+import queue
+import threading
+from dataclasses import dataclass
+from multiprocessing.synchronize import Event as MpEvent
 from typing import Any, Callable
 
 from py_vapid import Vapid01
 from pywebpush import WebPusher
+from titlecase import titlecase
 
+from frigate.comms.base_communicator import Communicator
 from frigate.comms.config_updater import ConfigSubscriber
-from frigate.comms.dispatcher import Communicator
 from frigate.config import FrigateConfig
 from frigate.const import CONFIG_DIR
 from frigate.models import User
@@ -18,15 +23,40 @@ from frigate.models import User
 logger = logging.getLogger(__name__)
 
 
+@dataclass
+class PushNotification:
+    user: str
+    payload: dict[str, Any]
+    title: str
+    message: str
+    direct_url: str = ""
+    image: str = ""
+    notification_type: str = "alert"
+    ttl: int = 0
+
+
 class WebPushClient(Communicator):  # type: ignore[misc]
     """Frigate wrapper for webpush client."""
 
-    def __init__(self, config: FrigateConfig) -> None:
+    def __init__(self, config: FrigateConfig, stop_event: MpEvent) -> None:
         self.config = config
+        self.stop_event = stop_event
         self.claim_headers: dict[str, dict[str, str]] = {}
         self.refresh: int = 0
         self.web_pushers: dict[str, list[WebPusher]] = {}
         self.expired_subs: dict[str, list[str]] = {}
+        self.suspended_cameras: dict[str, int] = {
+            c.name: 0 for c in self.config.cameras.values()
+        }
+        self.last_camera_notification_time: dict[str, float] = {
+            c.name: 0 for c in self.config.cameras.values()
+        }
+        self.last_notification_time: float = 0
+        self.notification_queue: queue.Queue[PushNotification] = queue.Queue()
+        self.notification_thread = threading.Thread(
+            target=self._process_notifications, daemon=True
+        )
+        self.notification_thread.start()
 
         if not self.config.notifications.email:
             logger.warning("Email must be provided for push notifications to be sent.")
@@ -103,30 +133,177 @@ class WebPushClient(Communicator):  # type: ignore[misc]
 
         self.expired_subs = {}
 
+    def suspend_notifications(self, camera: str, minutes: int) -> None:
+        """Suspend notifications for a specific camera."""
+        suspend_until = int(
+            (datetime.datetime.now() + datetime.timedelta(minutes=minutes)).timestamp()
+        )
+        self.suspended_cameras[camera] = suspend_until
+        logger.info(
+            f"Notifications for {camera} suspended until {datetime.datetime.fromtimestamp(suspend_until).strftime('%Y-%m-%d %H:%M:%S')}"
+        )
+
+    def unsuspend_notifications(self, camera: str) -> None:
+        """Unsuspend notifications for a specific camera."""
+        self.suspended_cameras[camera] = 0
+        logger.info(f"Notifications for {camera} unsuspended")
+
+    def is_camera_suspended(self, camera: str) -> bool:
+        return datetime.datetime.now().timestamp() <= self.suspended_cameras[camera]
+
     def publish(self, topic: str, payload: Any, retain: bool = False) -> None:
         """Wrapper for publishing when client is in valid state."""
         # check for updated notification config
         _, updated_notification_config = self.config_subscriber.check_for_update()
 
         if updated_notification_config:
-            self.config.notifications = updated_notification_config
+            for key, value in updated_notification_config.items():
+                if key == "_global_notifications":
+                    self.config.notifications = value
 
-        if not self.config.notifications.enabled:
-            return
+                elif key in self.config.cameras:
+                    self.config.cameras[key].notifications = value
 
         if topic == "reviews":
-            self.send_alert(json.loads(payload))
+            decoded = json.loads(payload)
+            camera = decoded["before"]["camera"]
+            if not self.config.cameras[camera].notifications.enabled:
+                return
+            if self.is_camera_suspended(camera):
+                logger.debug(f"Notifications for {camera} are currently suspended.")
+                return
+            self.send_alert(decoded)
+        elif topic == "notification_test":
+            if not self.config.notifications.enabled and not any(
+                cam.notifications.enabled for cam in self.config.cameras.values()
+            ):
+                logger.debug(
+                    "No cameras have notifications enabled, test notification not sent"
+                )
+                return
+            self.send_notification_test()
 
-    def send_alert(self, payload: dict[str, any]) -> None:
+    def send_push_notification(
+        self,
+        user: str,
+        payload: dict[str, Any],
+        title: str,
+        message: str,
+        direct_url: str = "",
+        image: str = "",
+        notification_type: str = "alert",
+        ttl: int = 0,
+    ) -> None:
+        notification = PushNotification(
+            user=user,
+            payload=payload,
+            title=title,
+            message=message,
+            direct_url=direct_url,
+            image=image,
+            notification_type=notification_type,
+            ttl=ttl,
+        )
+        self.notification_queue.put(notification)
+
+    def _process_notifications(self) -> None:
+        while not self.stop_event.is_set():
+            try:
+                notification = self.notification_queue.get(timeout=1.0)
+                self.check_registrations()
+
+                for pusher in self.web_pushers[notification.user]:
+                    endpoint = pusher.subscription_info["endpoint"]
+                    headers = self.claim_headers[
+                        endpoint[: endpoint.index("/", 10)]
+                    ].copy()
+                    headers["urgency"] = "high"
+
+                    resp = pusher.send(
+                        headers=headers,
+                        ttl=notification.ttl,
+                        data=json.dumps(
+                            {
+                                "title": notification.title,
+                                "message": notification.message,
+                                "direct_url": notification.direct_url,
+                                "image": notification.image,
+                                "id": notification.payload.get("after", {}).get(
+                                    "id", ""
+                                ),
+                                "type": notification.notification_type,
+                            }
+                        ),
+                        timeout=10,
+                    )
+
+                    if resp.status_code in (404, 410):
+                        self.expired_subs.setdefault(notification.user, []).append(
+                            endpoint
+                        )
+                        logger.debug(
+                            f"Notification endpoint expired for {notification.user}, received {resp.status_code}"
+                        )
+                    elif resp.status_code != 201:
+                        logger.warning(
+                            f"Failed to send notification to {notification.user} :: {resp.status_code}"
+                        )
+
+            except queue.Empty:
+                continue
+            except Exception as e:
+                logger.error(f"Error processing notification: {str(e)}")
+
+    def send_notification_test(self) -> None:
         if not self.config.notifications.email:
             return
 
         self.check_registrations()
 
-        # Only notify for alerts
-        if payload["after"]["severity"] != "alert":
+        logger.debug("Sending test notification")
+
+        for user in self.web_pushers:
+            self.send_push_notification(
+                user=user,
+                payload={},
+                title="Test Notification",
+                message="This is a test notification from Frigate.",
+                direct_url="/",
+                notification_type="test",
+            )
+
+    def send_alert(self, payload: dict[str, Any]) -> None:
+        if (
+            not self.config.notifications.email
+            or payload["after"]["severity"] != "alert"
+        ):
             return
 
+        camera: str = payload["after"]["camera"]
+        current_time = datetime.datetime.now().timestamp()
+
+        # Check global cooldown period
+        if (
+            current_time - self.last_notification_time
+            < self.config.notifications.cooldown
+        ):
+            logger.debug(
+                f"Skipping notification for {camera} - in global cooldown period"
+            )
+            return
+
+        # Check camera-specific cooldown period
+        if (
+            current_time - self.last_camera_notification_time[camera]
+            < self.config.cameras[camera].notifications.cooldown
+        ):
+            logger.debug(
+                f"Skipping notification for {camera} - in camera-specific cooldown period"
+            )
+            return
+
+        self.check_registrations()
+
         state = payload["type"]
 
         # Don't notify if message is an update and important fields don't have an update
@@ -137,8 +314,14 @@ class WebPushClient(Communicator):  # type: ignore[misc]
             and len(payload["before"]["data"]["zones"])
             == len(payload["after"]["data"]["zones"])
         ):
+            logger.debug(
+                f"Skipping notification for {camera} - message is an update and important fields don't have an update"
+            )
             return
 
+        self.last_camera_notification_time[camera] = current_time
+        self.last_notification_time = current_time
+
         reviewId = payload["after"]["id"]
         sorted_objects: set[str] = set()
 
@@ -148,56 +331,29 @@ class WebPushClient(Communicator):  # type: ignore[misc]
 
         sorted_objects.update(payload["after"]["data"]["sub_labels"])
 
-        camera: str = payload["after"]["camera"]
-        title = f"{', '.join(sorted_objects).replace('_', ' ').title()}{' was' if state == 'end' else ''} detected in {', '.join(payload['after']['data']['zones']).replace('_', ' ').title()}"
-        message = f"Detected on {camera.replace('_', ' ').title()}"
+        title = f"{titlecase(', '.join(sorted_objects).replace('_', ' '))}{' was' if state == 'end' else ''} detected in {titlecase(', '.join(payload['after']['data']['zones']).replace('_', ' '))}"
+        message = f"Detected on {titlecase(camera.replace('_', ' '))}"
         image = f"{payload['after']['thumb_path'].replace('/media/frigate', '')}"
 
         # if event is ongoing open to live view otherwise open to recordings view
         direct_url = f"/review?id={reviewId}" if state == "end" else f"/#{camera}"
+        ttl = 3600 if state == "end" else 0
 
-        for user, pushers in self.web_pushers.items():
-            for pusher in pushers:
-                endpoint = pusher.subscription_info["endpoint"]
+        logger.debug(f"Sending push notification for {camera}, review ID {reviewId}")
 
-                # set headers for notification behavior
-                headers = self.claim_headers[
-                    endpoint[0 : endpoint.index("/", 10)]
-                ].copy()
-                headers["urgency"] = "high"
-                ttl = 3600 if state == "end" else 0
-
-                # send message
-                resp = pusher.send(
-                    headers=headers,
-                    ttl=ttl,
-                    data=json.dumps(
-                        {
-                            "title": title,
-                            "message": message,
-                            "direct_url": direct_url,
-                            "image": image,
-                            "id": reviewId,
-                            "type": "alert",
-                        }
-                    ),
-                )
-
-                if resp.status_code == 201:
-                    pass
-                elif resp.status_code == 404 or resp.status_code == 410:
-                    # subscription is not found or has been unsubscribed
-                    if not self.expired_subs.get(user):
-                        self.expired_subs[user] = []
-
-                    self.expired_subs[user].append(pusher.subscription_info["endpoint"])
-                    # the subscription no longer exists and should be removed
-                else:
-                    logger.warning(
-                        f"Failed to send notification to {user} :: {resp.headers}"
-                    )
+        for user in self.web_pushers:
+            self.send_push_notification(
+                user=user,
+                payload=payload,
+                title=title,
+                message=message,
+                direct_url=direct_url,
+                image=image,
+                ttl=ttl,
+            )
 
         self.cleanup_registrations()
 
     def stop(self) -> None:
-        pass
+        logger.info("Closing notification queue")
+        self.notification_thread.join()
diff --git a/frigate/comms/ws.py b/frigate/comms/ws.py
index fccd8db5c..1eed290f7 100644
--- a/frigate/comms/ws.py
+++ b/frigate/comms/ws.py
@@ -15,7 +15,7 @@ from ws4py.server.wsgirefserver import (
 from ws4py.server.wsgiutils import WebSocketWSGIApplication
 from ws4py.websocket import WebSocket as WebSocket_
 
-from frigate.comms.dispatcher import Communicator
+from frigate.comms.base_communicator import Communicator
 from frigate.config import FrigateConfig
 
 logger = logging.getLogger(__name__)
diff --git a/frigate/comms/zmq_proxy.py b/frigate/comms/zmq_proxy.py
index 1661cfcc5..d26da3312 100644
--- a/frigate/comms/zmq_proxy.py
+++ b/frigate/comms/zmq_proxy.py
@@ -2,10 +2,12 @@
 
 import json
 import threading
-from typing import Optional
+from typing import Any, Optional
 
 import zmq
 
+from frigate.const import FAST_QUEUE_TIMEOUT
+
 SOCKET_PUB = "ipc:///tmp/cache/proxy_pub"
 SOCKET_SUB = "ipc:///tmp/cache/proxy_sub"
 
@@ -56,7 +58,7 @@ class Publisher:
         self.socket = self.context.socket(zmq.PUB)
         self.socket.connect(SOCKET_PUB)
 
-    def publish(self, payload: any, sub_topic: str = "") -> None:
+    def publish(self, payload: Any, sub_topic: str = "") -> None:
         """Publish message."""
         self.socket.send_string(f"{self.topic}{sub_topic} {json.dumps(payload)}")
 
@@ -77,7 +79,9 @@ class Subscriber:
         self.socket.setsockopt_string(zmq.SUBSCRIBE, self.topic)
         self.socket.connect(SOCKET_SUB)
 
-    def check_for_update(self, timeout: float = 1) -> Optional[tuple[str, any]]:
+    def check_for_update(
+        self, timeout: float = FAST_QUEUE_TIMEOUT
+    ) -> Optional[tuple[str, Any]]:
         """Returns message or None if no update."""
         try:
             has_update, _, _ = zmq.select([self.socket], [], [], timeout)
@@ -94,5 +98,5 @@ class Subscriber:
         self.socket.close()
         self.context.destroy()
 
-    def _return_object(self, topic: str, payload: any) -> any:
+    def _return_object(self, topic: str, payload: Any) -> Any:
         return payload
diff --git a/frigate/config/__init__.py b/frigate/config/__init__.py
index 1af2f08fe..c6ff535b0 100644
--- a/frigate/config/__init__.py
+++ b/frigate/config/__init__.py
@@ -3,13 +3,12 @@ from frigate.detectors import DetectorConfig, ModelConfig  # noqa: F401
 from .auth import *  # noqa: F403
 from .camera import *  # noqa: F403
 from .camera_group import *  # noqa: F403
+from .classification import *  # noqa: F403
 from .config import *  # noqa: F403
 from .database import *  # noqa: F403
 from .logger import *  # noqa: F403
 from .mqtt import *  # noqa: F403
-from .notification import *  # noqa: F403
 from .proxy import *  # noqa: F403
-from .semantic_search import *  # noqa: F403
 from .telemetry import *  # noqa: F403
 from .tls import *  # noqa: F403
 from .ui import *  # noqa: F403
diff --git a/frigate/config/camera/camera.py b/frigate/config/camera/camera.py
index 37e5f408e..3b24dabac 100644
--- a/frigate/config/camera/camera.py
+++ b/frigate/config/camera/camera.py
@@ -1,4 +1,5 @@
 import os
+from enum import Enum
 from typing import Optional
 
 from pydantic import Field, PrivateAttr
@@ -17,6 +18,10 @@ from frigate.util.builtin import (
 )
 
 from ..base import FrigateBaseModel
+from ..classification import (
+    CameraFaceRecognitionConfig,
+    CameraLicensePlateRecognitionConfig,
+)
 from .audio import AudioConfig
 from .birdseye import BirdseyeCameraConfig
 from .detect import DetectConfig
@@ -25,6 +30,7 @@ from .genai import GenAICameraConfig
 from .live import CameraLiveConfig
 from .motion import MotionConfig
 from .mqtt import CameraMqttConfig
+from .notification import NotificationConfig
 from .objects import ObjectConfig
 from .onvif import OnvifConfig
 from .record import RecordConfig
@@ -37,6 +43,11 @@ from .zone import ZoneConfig
 __all__ = ["CameraConfig"]
 
 
+class CameraTypeEnum(str, Enum):
+    generic = "generic"
+    lpr = "lpr"
+
+
 class CameraConfig(FrigateBaseModel):
     name: Optional[str] = Field(None, title="Camera name.", pattern=REGEX_CAMERA_NAME)
     enabled: bool = Field(default=True, title="Enable camera.")
@@ -51,6 +62,9 @@ class CameraConfig(FrigateBaseModel):
     detect: DetectConfig = Field(
         default_factory=DetectConfig, title="Object detection configuration."
     )
+    face_recognition: CameraFaceRecognitionConfig = Field(
+        default_factory=CameraFaceRecognitionConfig, title="Face recognition config."
+    )
     ffmpeg: CameraFfmpegConfig = Field(title="FFmpeg configuration for the camera.")
     genai: GenAICameraConfig = Field(
         default_factory=GenAICameraConfig, title="Generative AI configuration."
@@ -58,6 +72,9 @@ class CameraConfig(FrigateBaseModel):
     live: CameraLiveConfig = Field(
         default_factory=CameraLiveConfig, title="Live playback settings."
     )
+    lpr: CameraLicensePlateRecognitionConfig = Field(
+        default_factory=CameraLicensePlateRecognitionConfig, title="LPR config."
+    )
     motion: Optional[MotionConfig] = Field(
         None, title="Motion detection configuration."
     )
@@ -85,9 +102,13 @@ class CameraConfig(FrigateBaseModel):
     mqtt: CameraMqttConfig = Field(
         default_factory=CameraMqttConfig, title="MQTT configuration."
     )
+    notifications: NotificationConfig = Field(
+        default_factory=NotificationConfig, title="Notifications configuration."
+    )
     onvif: OnvifConfig = Field(
         default_factory=OnvifConfig, title="Camera Onvif Configuration."
     )
+    type: CameraTypeEnum = Field(default=CameraTypeEnum.generic, title="Camera Type")
     ui: CameraUiConfig = Field(
         default_factory=CameraUiConfig, title="Camera UI Modifications."
     )
@@ -98,6 +119,9 @@ class CameraConfig(FrigateBaseModel):
     zones: dict[str, ZoneConfig] = Field(
         default_factory=dict, title="Zone configuration."
     )
+    enabled_in_config: Optional[bool] = Field(
+        default=None, title="Keep track of original state of camera."
+    )
 
     _ffmpeg_cmds: list[dict[str, list[str]]] = PrivateAttr()
 
@@ -167,7 +191,7 @@ class CameraConfig(FrigateBaseModel):
             record_args = get_ffmpeg_arg_list(
                 parse_preset_output_record(
                     self.ffmpeg.output_args.record,
-                    self.ffmpeg.output_args._force_record_hvc1,
+                    self.ffmpeg.apple_compatibility,
                 )
                 or self.ffmpeg.output_args.record
             )
diff --git a/frigate/config/camera/detect.py b/frigate/config/camera/detect.py
index 273364e61..99e02c2c8 100644
--- a/frigate/config/camera/detect.py
+++ b/frigate/config/camera/detect.py
@@ -32,6 +32,7 @@ class StationaryConfig(FrigateBaseModel):
 
 
 class DetectConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Detection Enabled.")
     height: Optional[int] = Field(
         default=None, title="Height of the stream for the detect role."
     )
@@ -41,7 +42,6 @@ class DetectConfig(FrigateBaseModel):
     fps: int = Field(
         default=5, title="Number of frames per second to process through detection."
     )
-    enabled: bool = Field(default=True, title="Detection Enabled.")
     min_initialized: Optional[int] = Field(
         default=None,
         title="Minimum number of consecutive hits for an object to be initialized by the tracker.",
diff --git a/frigate/config/camera/ffmpeg.py b/frigate/config/camera/ffmpeg.py
index 4750a950f..04bbfac7b 100644
--- a/frigate/config/camera/ffmpeg.py
+++ b/frigate/config/camera/ffmpeg.py
@@ -1,8 +1,7 @@
-import shutil
 from enum import Enum
 from typing import Union
 
-from pydantic import Field, PrivateAttr, field_validator
+from pydantic import Field, field_validator
 
 from frigate.const import DEFAULT_FFMPEG_VERSION, INCLUDED_FFMPEG_VERSIONS
 
@@ -22,7 +21,7 @@ __all__ = [
 FFMPEG_GLOBAL_ARGS_DEFAULT = ["-hide_banner", "-loglevel", "warning", "-threads", "2"]
 FFMPEG_INPUT_ARGS_DEFAULT = "preset-rtsp-generic"
 
-RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = "preset-record-generic"
+RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = "preset-record-generic-audio-aac"
 DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = [
     "-threads",
     "2",
@@ -42,7 +41,6 @@ class FfmpegOutputArgsConfig(FrigateBaseModel):
         default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT,
         title="Record role FFmpeg output arguments.",
     )
-    _force_record_hvc1: bool = PrivateAttr(default=False)
 
 
 class FfmpegConfig(FrigateBaseModel):
@@ -64,14 +62,15 @@ class FfmpegConfig(FrigateBaseModel):
         default=10.0,
         title="Time in seconds to wait before FFmpeg retries connecting to the camera.",
     )
+    apple_compatibility: bool = Field(
+        default=False,
+        title="Set tag on HEVC (H.265) recording stream to improve compatibility with Apple players.",
+    )
 
     @property
     def ffmpeg_path(self) -> str:
         if self.path == "default":
-            if shutil.which("ffmpeg") is None:
-                return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
-            else:
-                return "ffmpeg"
+            return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
         elif self.path in INCLUDED_FFMPEG_VERSIONS:
             return f"/usr/lib/ffmpeg/{self.path}/bin/ffmpeg"
         else:
@@ -80,10 +79,7 @@ class FfmpegConfig(FrigateBaseModel):
     @property
     def ffprobe_path(self) -> str:
         if self.path == "default":
-            if shutil.which("ffprobe") is None:
-                return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffprobe"
-            else:
-                return "ffprobe"
+            return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffprobe"
         elif self.path in INCLUDED_FFMPEG_VERSIONS:
             return f"/usr/lib/ffmpeg/{self.path}/bin/ffprobe"
         else:
diff --git a/frigate/config/camera/genai.py b/frigate/config/camera/genai.py
index e6b327836..6ef93682b 100644
--- a/frigate/config/camera/genai.py
+++ b/frigate/config/camera/genai.py
@@ -16,6 +16,17 @@ class GenAIProviderEnum(str, Enum):
     ollama = "ollama"
 
 
+class GenAISendTriggersConfig(BaseModel):
+    tracked_object_end: bool = Field(
+        default=True, title="Send once the object is no longer tracked."
+    )
+    after_significant_updates: Optional[int] = Field(
+        default=None,
+        title="Send an early request to generative AI when X frames accumulated.",
+        ge=1,
+    )
+
+
 # uses BaseModel because some global attributes are not available at the camera level
 class GenAICameraConfig(BaseModel):
     enabled: bool = Field(default=False, title="Enable GenAI for camera.")
@@ -42,6 +53,10 @@ class GenAICameraConfig(BaseModel):
         default=False,
         title="Save thumbnails sent to generative AI for debugging purposes.",
     )
+    send_triggers: GenAISendTriggersConfig = Field(
+        default_factory=GenAISendTriggersConfig,
+        title="What triggers to use to send frames to generative AI for a tracked object.",
+    )
 
     @field_validator("required_zones", mode="before")
     @classmethod
diff --git a/frigate/config/camera/live.py b/frigate/config/camera/live.py
index 9f15f2645..13ae2d04f 100644
--- a/frigate/config/camera/live.py
+++ b/frigate/config/camera/live.py
@@ -1,3 +1,5 @@
+from typing import Dict
+
 from pydantic import Field
 
 from ..base import FrigateBaseModel
@@ -6,6 +8,9 @@ __all__ = ["CameraLiveConfig"]
 
 
 class CameraLiveConfig(FrigateBaseModel):
-    stream_name: str = Field(default="", title="Name of restream to use as live view.")
+    streams: Dict[str, str] = Field(
+        default_factory=list,
+        title="Friendly names and restream names to use for live view.",
+    )
     height: int = Field(default=720, title="Live camera view height")
     quality: int = Field(default=8, ge=1, le=31, title="Live camera view quality")
diff --git a/frigate/config/notification.py b/frigate/config/camera/notification.py
similarity index 71%
rename from frigate/config/notification.py
rename to frigate/config/camera/notification.py
index 0ffebff3c..b0d7cebf9 100644
--- a/frigate/config/notification.py
+++ b/frigate/config/camera/notification.py
@@ -2,7 +2,7 @@ from typing import Optional
 
 from pydantic import Field
 
-from .base import FrigateBaseModel
+from ..base import FrigateBaseModel
 
 __all__ = ["NotificationConfig"]
 
@@ -10,6 +10,9 @@ __all__ = ["NotificationConfig"]
 class NotificationConfig(FrigateBaseModel):
     enabled: bool = Field(default=False, title="Enable notifications")
     email: Optional[str] = Field(default=None, title="Email required for push.")
+    cooldown: Optional[int] = Field(
+        default=0, ge=0, title="Cooldown period for notifications (time in seconds)."
+    )
     enabled_in_config: Optional[bool] = Field(
         default=None, title="Keep track of original state of notifications."
     )
diff --git a/frigate/config/camera/objects.py b/frigate/config/camera/objects.py
index 22cd92f1c..0d559b6ce 100644
--- a/frigate/config/camera/objects.py
+++ b/frigate/config/camera/objects.py
@@ -1,6 +1,6 @@
 from typing import Any, Optional, Union
 
-from pydantic import Field, field_serializer
+from pydantic import Field, PrivateAttr, field_serializer
 
 from ..base import FrigateBaseModel
 
@@ -11,11 +11,13 @@ DEFAULT_TRACKED_OBJECTS = ["person"]
 
 
 class FilterConfig(FrigateBaseModel):
-    min_area: int = Field(
-        default=0, title="Minimum area of bounding box for object to be counted."
+    min_area: Union[int, float] = Field(
+        default=0,
+        title="Minimum area of bounding box for object to be counted. Can be pixels (int) or percentage (float between 0.000001 and 0.99).",
     )
-    max_area: int = Field(
-        default=24000000, title="Maximum area of bounding box for object to be counted."
+    max_area: Union[int, float] = Field(
+        default=24000000,
+        title="Maximum area of bounding box for object to be counted. Can be pixels (int) or percentage (float between 0.000001 and 0.99).",
     )
     min_ratio: float = Field(
         default=0,
@@ -53,3 +55,20 @@ class ObjectConfig(FrigateBaseModel):
         default_factory=dict, title="Object filters."
     )
     mask: Union[str, list[str]] = Field(default="", title="Object mask.")
+    _all_objects: list[str] = PrivateAttr()
+
+    @property
+    def all_objects(self) -> list[str]:
+        return self._all_objects
+
+    def parse_all_objects(self, cameras):
+        if "_all_objects" in self:
+            return
+
+        # get list of unique enabled labels for tracking
+        enabled_labels = set(self.track)
+
+        for camera in cameras.values():
+            enabled_labels.update(camera.objects.track)
+
+        self._all_objects = list(enabled_labels)
diff --git a/frigate/config/camera/onvif.py b/frigate/config/camera/onvif.py
index 0c7985454..d4955799b 100644
--- a/frigate/config/camera/onvif.py
+++ b/frigate/config/camera/onvif.py
@@ -63,8 +63,10 @@ class PtzAutotrackConfig(FrigateBaseModel):
         else:
             raise ValueError("Invalid type for movement_weights")
 
-        if len(weights) != 5:
-            raise ValueError("movement_weights must have exactly 5 floats")
+        if len(weights) != 6:
+            raise ValueError(
+                "movement_weights must have exactly 6 floats, remove this line from your config and run autotracking calibration"
+            )
 
         return weights
 
diff --git a/frigate/config/camera/review.py b/frigate/config/camera/review.py
index 549c37db4..d8d26edb9 100644
--- a/frigate/config/camera/review.py
+++ b/frigate/config/camera/review.py
@@ -13,6 +13,8 @@ DEFAULT_ALERT_OBJECTS = ["person", "car"]
 class AlertsConfig(FrigateBaseModel):
     """Configure alerts"""
 
+    enabled: bool = Field(default=True, title="Enable alerts.")
+
     labels: list[str] = Field(
         default=DEFAULT_ALERT_OBJECTS, title="Labels to create alerts for."
     )
@@ -21,6 +23,10 @@ class AlertsConfig(FrigateBaseModel):
         title="List of required zones to be entered in order to save the event as an alert.",
     )
 
+    enabled_in_config: Optional[bool] = Field(
+        default=None, title="Keep track of original state of alerts."
+    )
+
     @field_validator("required_zones", mode="before")
     @classmethod
     def validate_required_zones(cls, v):
@@ -33,6 +39,8 @@ class AlertsConfig(FrigateBaseModel):
 class DetectionsConfig(FrigateBaseModel):
     """Configure detections"""
 
+    enabled: bool = Field(default=True, title="Enable detections.")
+
     labels: Optional[list[str]] = Field(
         default=None, title="Labels to create detections for."
     )
@@ -41,6 +49,10 @@ class DetectionsConfig(FrigateBaseModel):
         title="List of required zones to be entered in order to save the event as a detection.",
     )
 
+    enabled_in_config: Optional[bool] = Field(
+        default=None, title="Keep track of original state of detections."
+    )
+
     @field_validator("required_zones", mode="before")
     @classmethod
     def validate_required_zones(cls, v):
diff --git a/frigate/config/camera/zone.py b/frigate/config/camera/zone.py
index 37fc1b744..3e69240d5 100644
--- a/frigate/config/camera/zone.py
+++ b/frigate/config/camera/zone.py
@@ -1,13 +1,16 @@
 # this uses the base model because the color is an extra attribute
+import logging
 from typing import Optional, Union
 
 import numpy as np
-from pydantic import BaseModel, Field, PrivateAttr, field_validator
+from pydantic import BaseModel, Field, PrivateAttr, field_validator, model_validator
 
 from .objects import FilterConfig
 
 __all__ = ["ZoneConfig"]
 
+logger = logging.getLogger(__name__)
+
 
 class ZoneConfig(BaseModel):
     filters: dict[str, FilterConfig] = Field(
@@ -16,6 +19,10 @@ class ZoneConfig(BaseModel):
     coordinates: Union[str, list[str]] = Field(
         title="Coordinates polygon for the defined zone."
     )
+    distances: Optional[Union[str, list[str]]] = Field(
+        default_factory=list,
+        title="Real-world distances for the sides of quadrilateral for the defined zone.",
+    )
     inertia: int = Field(
         default=3,
         title="Number of consecutive frames required for object to be considered present in the zone.",
@@ -26,6 +33,11 @@ class ZoneConfig(BaseModel):
         ge=0,
         title="Number of seconds that an object must loiter to be considered in the zone.",
     )
+    speed_threshold: Optional[float] = Field(
+        default=None,
+        ge=0.1,
+        title="Minimum speed value for an object to be considered in the zone.",
+    )
     objects: Union[str, list[str]] = Field(
         default_factory=list,
         title="List of objects that can trigger the zone.",
@@ -49,6 +61,34 @@ class ZoneConfig(BaseModel):
 
         return v
 
+    @field_validator("distances", mode="before")
+    @classmethod
+    def validate_distances(cls, v):
+        if v is None:
+            return None
+
+        if isinstance(v, str):
+            distances = list(map(str, map(float, v.split(","))))
+        elif isinstance(v, list):
+            distances = [str(float(val)) for val in v]
+        else:
+            raise ValueError("Invalid type for distances")
+
+        if len(distances) != 4:
+            raise ValueError("distances must have exactly 4 values")
+
+        return distances
+
+    @model_validator(mode="after")
+    def check_loitering_time_constraints(self):
+        if self.loitering_time > 0 and (
+            self.speed_threshold is not None or len(self.distances) > 0
+        ):
+            logger.warning(
+                "loitering_time should not be set on a zone if speed_threshold or distances is set."
+            )
+        return self
+
     def __init__(self, **config):
         super().__init__(**config)
 
diff --git a/frigate/config/classification.py b/frigate/config/classification.py
new file mode 100644
index 000000000..06e69a774
--- /dev/null
+++ b/frigate/config/classification.py
@@ -0,0 +1,177 @@
+from enum import Enum
+from typing import Dict, List, Optional
+
+from pydantic import ConfigDict, Field
+
+from .base import FrigateBaseModel
+
+__all__ = [
+    "CameraFaceRecognitionConfig",
+    "CameraLicensePlateRecognitionConfig",
+    "FaceRecognitionConfig",
+    "SemanticSearchConfig",
+    "LicensePlateRecognitionConfig",
+]
+
+
+class SemanticSearchModelEnum(str, Enum):
+    jinav1 = "jinav1"
+    jinav2 = "jinav2"
+
+
+class LPRDeviceEnum(str, Enum):
+    GPU = "GPU"
+    CPU = "CPU"
+
+
+class BirdClassificationConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable bird classification.")
+    threshold: float = Field(
+        default=0.9,
+        title="Minimum classification score required to be considered a match.",
+        gt=0.0,
+        le=1.0,
+    )
+
+
+class ClassificationConfig(FrigateBaseModel):
+    bird: BirdClassificationConfig = Field(
+        default_factory=BirdClassificationConfig, title="Bird classification config."
+    )
+
+
+class SemanticSearchConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable semantic search.")
+    reindex: Optional[bool] = Field(
+        default=False, title="Reindex all tracked objects on startup."
+    )
+    model: Optional[SemanticSearchModelEnum] = Field(
+        default=SemanticSearchModelEnum.jinav1,
+        title="The CLIP model to use for semantic search.",
+    )
+    model_size: str = Field(
+        default="small", title="The size of the embeddings model used."
+    )
+
+
+class FaceRecognitionConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable face recognition.")
+    model_size: str = Field(
+        default="small", title="The size of the embeddings model used."
+    )
+    unknown_score: float = Field(
+        title="Minimum face distance score required to be marked as a potential match.",
+        default=0.8,
+        gt=0.0,
+        le=1.0,
+    )
+    detection_threshold: float = Field(
+        default=0.7,
+        title="Minimum face detection score required to be considered a face.",
+        gt=0.0,
+        le=1.0,
+    )
+    recognition_threshold: float = Field(
+        default=0.9,
+        title="Minimum face distance score required to be considered a match.",
+        gt=0.0,
+        le=1.0,
+    )
+    min_area: int = Field(
+        default=750, title="Min area of face box to consider running face recognition."
+    )
+    min_faces: int = Field(
+        default=1,
+        gt=0,
+        le=6,
+        title="Min face recognitions for the sub label to be applied to the person object.",
+    )
+    save_attempts: int = Field(
+        default=100, ge=0, title="Number of face attempts to save in the train tab."
+    )
+    blur_confidence_filter: bool = Field(
+        default=True, title="Apply blur quality filter to face confidence."
+    )
+
+
+class CameraFaceRecognitionConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable face recognition.")
+    min_area: int = Field(
+        default=750, title="Min area of face box to consider running face recognition."
+    )
+
+    model_config = ConfigDict(extra="forbid", protected_namespaces=())
+
+
+class LicensePlateRecognitionConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable license plate recognition.")
+    device: Optional[LPRDeviceEnum] = Field(
+        default=LPRDeviceEnum.CPU,
+        title="The device used for license plate recognition.",
+    )
+    model_size: str = Field(
+        default="small", title="The size of the embeddings model used."
+    )
+    detection_threshold: float = Field(
+        default=0.7,
+        title="License plate object confidence score required to begin running recognition.",
+        gt=0.0,
+        le=1.0,
+    )
+    min_area: int = Field(
+        default=1000,
+        title="Minimum area of license plate to begin running recognition.",
+    )
+    recognition_threshold: float = Field(
+        default=0.9,
+        title="Recognition confidence score required to add the plate to the object as a sub label.",
+        gt=0.0,
+        le=1.0,
+    )
+    min_plate_length: int = Field(
+        default=4,
+        title="Minimum number of characters a license plate must have to be added to the object as a sub label.",
+    )
+    format: Optional[str] = Field(
+        default=None,
+        title="Regular expression for the expected format of license plate.",
+    )
+    match_distance: int = Field(
+        default=1,
+        title="Allow this number of missing/incorrect characters to still cause a detected plate to match a known plate.",
+        ge=0,
+    )
+    known_plates: Optional[Dict[str, List[str]]] = Field(
+        default={}, title="Known plates to track (strings or regular expressions)."
+    )
+    enhancement: int = Field(
+        default=0,
+        title="Amount of contrast adjustment and denoising to apply to license plate images before recognition.",
+        ge=0,
+        le=10,
+    )
+    debug_save_plates: bool = Field(
+        default=False,
+        title="Save plates captured for LPR for debugging purposes.",
+    )
+
+
+class CameraLicensePlateRecognitionConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable license plate recognition.")
+    expire_time: int = Field(
+        default=3,
+        title="Expire plates not seen after number of seconds (for dedicated LPR cameras only).",
+        gt=0,
+    )
+    min_area: int = Field(
+        default=1000,
+        title="Minimum area of license plate to begin running recognition.",
+    )
+    enhancement: int = Field(
+        default=0,
+        title="Amount of contrast adjustment and denoising to apply to license plate images before recognition.",
+        ge=0,
+        le=10,
+    )
+
+    model_config = ConfigDict(extra="forbid", protected_namespaces=())
diff --git a/frigate/config/config.py b/frigate/config/config.py
index 43db89b4f..6ec048acd 100644
--- a/frigate/config/config.py
+++ b/frigate/config/config.py
@@ -29,6 +29,7 @@ from frigate.util.builtin import (
 )
 from frigate.util.config import (
     StreamInfoRetriever,
+    convert_area_to_pixels,
     find_config_file,
     get_relative_coordinates,
     migrate_frigate_config,
@@ -45,19 +46,24 @@ from .camera.detect import DetectConfig
 from .camera.ffmpeg import FfmpegConfig
 from .camera.genai import GenAIConfig
 from .camera.motion import MotionConfig
+from .camera.notification import NotificationConfig
 from .camera.objects import FilterConfig, ObjectConfig
 from .camera.record import RecordConfig, RetainModeEnum
 from .camera.review import ReviewConfig
 from .camera.snapshots import SnapshotsConfig
 from .camera.timestamp import TimestampStyleConfig
 from .camera_group import CameraGroupConfig
+from .classification import (
+    ClassificationConfig,
+    FaceRecognitionConfig,
+    LicensePlateRecognitionConfig,
+    SemanticSearchConfig,
+)
 from .database import DatabaseConfig
 from .env import EnvVars
 from .logger import LoggerConfig
 from .mqtt import MqttConfig
-from .notification import NotificationConfig
 from .proxy import ProxyConfig
-from .semantic_search import SemanticSearchConfig
 from .telemetry import TelemetryConfig
 from .tls import TlsConfig
 from .ui import UIConfig
@@ -143,6 +149,13 @@ class RuntimeFilterConfig(FilterConfig):
         if mask is not None:
             config["mask"] = create_mask(frame_shape, mask)
 
+        # Convert min_area and max_area to pixels if they're percentages
+        if "min_area" in config:
+            config["min_area"] = convert_area_to_pixels(config["min_area"], frame_shape)
+
+        if "max_area" in config:
+            config["max_area"] = convert_area_to_pixels(config["max_area"], frame_shape)
+
         super().__init__(**config)
 
     def dict(self, **kwargs):
@@ -176,17 +189,18 @@ def verify_config_roles(camera_config: CameraConfig) -> None:
         )
 
 
-def verify_valid_live_stream_name(
+def verify_valid_live_stream_names(
     frigate_config: FrigateConfig, camera_config: CameraConfig
 ) -> ValueError | None:
     """Verify that a restream exists to use for live view."""
-    if (
-        camera_config.live.stream_name
-        not in frigate_config.go2rtc.model_dump().get("streams", {}).keys()
-    ):
-        return ValueError(
-            f"No restream with name {camera_config.live.stream_name} exists for camera {camera_config.name}."
-        )
+    for _, stream_name in camera_config.live.streams.items():
+        if (
+            stream_name
+            not in frigate_config.go2rtc.model_dump().get("streams", {}).keys()
+        ):
+            return ValueError(
+                f"No restream with name {stream_name} exists for camera {camera_config.name}."
+            )
 
 
 def verify_recording_retention(camera_config: CameraConfig) -> None:
@@ -278,13 +292,46 @@ def verify_autotrack_zones(camera_config: CameraConfig) -> ValueError | None:
 
 
 def verify_motion_and_detect(camera_config: CameraConfig) -> ValueError | None:
-    """Verify that required_zones are specified when autotracking is enabled."""
+    """Verify that motion detection is not disabled and object detection is enabled."""
     if camera_config.detect.enabled and not camera_config.motion.enabled:
         raise ValueError(
             f"Camera {camera_config.name} has motion detection disabled and object detection enabled but object detection requires motion detection."
         )
 
 
+def verify_objects_track(
+    camera_config: CameraConfig, enabled_objects: list[str]
+) -> None:
+    """Verify that a user has not specified an object to track that is not in the labelmap."""
+    valid_objects = [
+        obj for obj in camera_config.objects.track if obj in enabled_objects
+    ]
+
+    if len(valid_objects) != len(camera_config.objects.track):
+        invalid_objects = set(camera_config.objects.track) - set(valid_objects)
+        logger.warning(
+            f"{camera_config.name} is configured to track {list(invalid_objects)} objects, which are not supported by the current model."
+        )
+        camera_config.objects.track = valid_objects
+
+
+def verify_lpr_and_face(
+    frigate_config: FrigateConfig, camera_config: CameraConfig
+) -> ValueError | None:
+    """Verify that lpr and face are enabled at the global level if enabled at the camera level."""
+    if camera_config.lpr.enabled and not frigate_config.lpr.enabled:
+        raise ValueError(
+            f"Camera {camera_config.name} has lpr enabled but lpr is disabled at the global level of the config. You must enable lpr at the global level."
+        )
+    if (
+        camera_config.face_recognition.enabled
+        and not frigate_config.face_recognition.enabled
+    ):
+        raise ValueError(
+            f"Camera {camera_config.name} has face_recognition enabled but face_recognition is disabled at the global level of the config. You must enable face_recognition at the global level."
+        )
+
+
 class FrigateConfig(FrigateBaseModel):
     version: Optional[str] = Field(default=None, title="Current config version.")
 
@@ -308,7 +355,7 @@ class FrigateConfig(FrigateBaseModel):
     )
     mqtt: MqttConfig = Field(title="MQTT configuration.")
     notifications: NotificationConfig = Field(
-        default_factory=NotificationConfig, title="Notification configuration."
+        default_factory=NotificationConfig, title="Global notification configuration."
     )
     proxy: ProxyConfig = Field(
         default_factory=ProxyConfig, title="Proxy configuration."
@@ -317,9 +364,6 @@ class FrigateConfig(FrigateBaseModel):
         default_factory=TelemetryConfig, title="Telemetry configuration."
     )
     tls: TlsConfig = Field(default_factory=TlsConfig, title="TLS configuration.")
-    semantic_search: SemanticSearchConfig = Field(
-        default_factory=SemanticSearchConfig, title="Semantic search configuration."
-    )
     ui: UIConfig = Field(default_factory=UIConfig, title="UI configuration.")
 
     # Detector config
@@ -371,6 +415,21 @@ class FrigateConfig(FrigateBaseModel):
         title="Global timestamp style configuration.",
     )
 
+    # Classification Config
+    classification: ClassificationConfig = Field(
+        default_factory=ClassificationConfig, title="Object classification config."
+    )
+    semantic_search: SemanticSearchConfig = Field(
+        default_factory=SemanticSearchConfig, title="Semantic search configuration."
+    )
+    face_recognition: FaceRecognitionConfig = Field(
+        default_factory=FaceRecognitionConfig, title="Face recognition config."
+    )
+    lpr: LicensePlateRecognitionConfig = Field(
+        default_factory=LicensePlateRecognitionConfig,
+        title="License Plate recognition config.",
+    )
+
     camera_groups: Dict[str, CameraGroupConfig] = Field(
         default_factory=dict, title="Camera group configuration"
     )
@@ -411,6 +470,8 @@ class FrigateConfig(FrigateBaseModel):
             include={
                 "audio": ...,
                 "birdseye": ...,
+                "face_recognition": ...,
+                "lpr": ...,
                 "record": ...,
                 "snapshots": ...,
                 "live": ...,
@@ -418,6 +479,7 @@ class FrigateConfig(FrigateBaseModel):
                 "review": ...,
                 "genai": ...,
                 "motion": ...,
+                "notifications": ...,
                 "detect": ...,
                 "ffmpeg": ...,
                 "timestamp_style": ...,
@@ -425,9 +487,56 @@ class FrigateConfig(FrigateBaseModel):
             exclude_unset=True,
         )
 
+        for key, detector in self.detectors.items():
+            adapter = TypeAdapter(DetectorConfig)
+            model_dict = (
+                detector
+                if isinstance(detector, dict)
+                else detector.model_dump(warnings="none")
+            )
+            detector_config: BaseDetectorConfig = adapter.validate_python(model_dict)
+
+            # users should not set model themselves
+            if detector_config.model:
+                detector_config.model = None
+
+            model_config = self.model.model_dump(exclude_unset=True, warnings="none")
+
+            if detector_config.model_path:
+                model_config["path"] = detector_config.model_path
+
+            if "path" not in model_config:
+                if detector_config.type == "cpu":
+                    model_config["path"] = "/cpu_model.tflite"
+                elif detector_config.type == "edgetpu":
+                    model_config["path"] = "/edgetpu_model.tflite"
+
+            model = ModelConfig.model_validate(model_config)
+            model.check_and_load_plus_model(self.plus_api, detector_config.type)
+            model.compute_model_hash()
+            labelmap_objects = model.merged_labelmap.values()
+            detector_config.model = model
+            self.detectors[key] = detector_config
+
         for name, camera in self.cameras.items():
+            modified_global_config = global_config.copy()
+
+            # only populate some fields down to the camera level for specific keys
+            allowed_fields_map = {
+                "face_recognition": ["enabled", "min_area"],
+                "lpr": ["enabled", "expire_time", "min_area", "enhancement"],
+            }
+
+            for section in allowed_fields_map:
+                if section in modified_global_config:
+                    modified_global_config[section] = {
+                        k: v
+                        for k, v in modified_global_config[section].items()
+                        if k in allowed_fields_map[section]
+                    }
+
             merged_config = deep_merge(
-                camera.model_dump(exclude_unset=True), global_config
+                camera.model_dump(exclude_unset=True), modified_global_config
             )
             camera_config: CameraConfig = CameraConfig.model_validate(
                 {"name": name, **merged_config}
@@ -437,13 +546,12 @@ class FrigateConfig(FrigateBaseModel):
                 camera_config.ffmpeg.hwaccel_args = self.ffmpeg.hwaccel_args
 
             for input in camera_config.ffmpeg.inputs:
-                need_record_fourcc = False and "record" in input.roles
                 need_detect_dimensions = "detect" in input.roles and (
                     camera_config.detect.height is None
                     or camera_config.detect.width is None
                 )
 
-                if need_detect_dimensions or need_record_fourcc:
+                if need_detect_dimensions:
                     stream_info = {"width": 0, "height": 0, "fourcc": None}
                     try:
                         stream_info = stream_info_retriever.get_stream_info(
@@ -467,19 +575,15 @@ class FrigateConfig(FrigateBaseModel):
                         else DEFAULT_DETECT_DIMENSIONS["height"]
                     )
 
-                if need_record_fourcc:
-                    # Apple only supports HEVC if it is hvc1 (vs. hev1)
-                    camera_config.ffmpeg.output_args._force_record_hvc1 = (
-                        stream_info["fourcc"] == "hevc"
-                        if stream_info.get("hevc")
-                        else False
-                    )
-
             # Warn if detect fps > 10
-            if camera_config.detect.fps > 10:
+            if camera_config.detect.fps > 10 and camera_config.type != "lpr":
                 logger.warning(
                     f"{camera_config.name} detect fps is set to {camera_config.detect.fps}. This does NOT need to match your camera's frame rate. High values could lead to reduced performance. Recommended value is 5."
                 )
+            if camera_config.detect.fps > 15 and camera_config.type == "lpr":
+                logger.warning(
+                    f"{camera_config.name} detect fps is set to {camera_config.detect.fps}. This does NOT need to match your camera's frame rate. High values could lead to reduced performance. Recommended value for LPR cameras are between 5-15."
+                )
 
             # Default min_initialized configuration
             min_initialized = int(camera_config.detect.fps / 2)
@@ -500,11 +604,21 @@ class FrigateConfig(FrigateBaseModel):
                 camera_config.detect.stationary.interval = stationary_threshold
 
             # set config pre-value
+            camera_config.enabled_in_config = camera_config.enabled
             camera_config.audio.enabled_in_config = camera_config.audio.enabled
             camera_config.record.enabled_in_config = camera_config.record.enabled
+            camera_config.notifications.enabled_in_config = (
+                camera_config.notifications.enabled
+            )
             camera_config.onvif.autotracking.enabled_in_config = (
                 camera_config.onvif.autotracking.enabled
             )
+            camera_config.review.alerts.enabled_in_config = (
+                camera_config.review.alerts.enabled
+            )
+            camera_config.review.detections.enabled_in_config = (
+                camera_config.review.detections.enabled
+            )
 
             # Add default filters
             object_keys = camera_config.objects.track
@@ -562,60 +676,32 @@ class FrigateConfig(FrigateBaseModel):
                     zone.generate_contour(camera_config.frame_shape)
 
             # Set live view stream if none is set
-            if not camera_config.live.stream_name:
-                camera_config.live.stream_name = name
+            if not camera_config.live.streams:
+                camera_config.live.streams = {name: name}
 
             # generate the ffmpeg commands
             camera_config.create_ffmpeg_cmds()
             self.cameras[name] = camera_config
 
             verify_config_roles(camera_config)
-            verify_valid_live_stream_name(self, camera_config)
+            verify_valid_live_stream_names(self, camera_config)
             verify_recording_retention(camera_config)
             verify_recording_segments_setup_with_reasonable_time(camera_config)
             verify_zone_objects_are_tracked(camera_config)
             verify_required_zones_exist(camera_config)
             verify_autotrack_zones(camera_config)
             verify_motion_and_detect(camera_config)
+            verify_objects_track(camera_config, labelmap_objects)
+            verify_lpr_and_face(self, camera_config)
 
-        # get list of unique enabled labels for tracking
-        enabled_labels = set(self.objects.track)
-
-        for camera in self.cameras.values():
-            enabled_labels.update(camera.objects.track)
-
-        self.model.create_colormap(sorted(enabled_labels))
+        self.objects.parse_all_objects(self.cameras)
+        self.model.create_colormap(sorted(self.objects.all_objects))
         self.model.check_and_load_plus_model(self.plus_api)
 
-        for key, detector in self.detectors.items():
-            adapter = TypeAdapter(DetectorConfig)
-            model_dict = (
-                detector
-                if isinstance(detector, dict)
-                else detector.model_dump(warnings="none")
+        if self.plus_api and not self.snapshots.clean_copy:
+            logger.warning(
+                "Frigate+ is configured but clean snapshots are not enabled, submissions to Frigate+ will not be possible./"
             )
-            detector_config: BaseDetectorConfig = adapter.validate_python(model_dict)
-
-            # users should not set model themselves
-            if detector_config.model:
-                detector_config.model = None
-
-            model_config = self.model.model_dump(exclude_unset=True, warnings="none")
-
-            if detector_config.model_path:
-                model_config["path"] = detector_config.model_path
-
-            if "path" not in model_config:
-                if detector_config.type == "cpu":
-                    model_config["path"] = "/cpu_model.tflite"
-                elif detector_config.type == "edgetpu":
-                    model_config["path"] = "/edgetpu_model.tflite"
-
-            model = ModelConfig.model_validate(model_config)
-            model.check_and_load_plus_model(self.plus_api, detector_config.type)
-            model.compute_model_hash()
-            detector_config.model = model
-            self.detectors[key] = detector_config
 
         return self
 
diff --git a/frigate/config/logger.py b/frigate/config/logger.py
index 120642042..e6e1c06d3 100644
--- a/frigate/config/logger.py
+++ b/frigate/config/logger.py
@@ -29,6 +29,7 @@ class LoggerConfig(FrigateBaseModel):
             logging.getLogger().setLevel(self.default.value.upper())
 
             log_levels = {
+                "httpx": LogLevel.error,
                 "werkzeug": LogLevel.error,
                 "ws4py": LogLevel.error,
                 **self.logs,
@@ -36,3 +37,5 @@ class LoggerConfig(FrigateBaseModel):
 
             for log, level in log_levels.items():
                 logging.getLogger(log).setLevel(level.value.upper())
+
+        return self
diff --git a/frigate/config/mqtt.py b/frigate/config/mqtt.py
index 1f3bb025d..cedd53734 100644
--- a/frigate/config/mqtt.py
+++ b/frigate/config/mqtt.py
@@ -30,6 +30,7 @@ class MqttConfig(FrigateBaseModel):
     )
     tls_client_key: Optional[str] = Field(default=None, title="MQTT TLS Client Key")
     tls_insecure: Optional[bool] = Field(default=None, title="MQTT TLS Insecure")
+    qos: Optional[int] = Field(default=0, title="MQTT QoS")
 
     @model_validator(mode="after")
     def user_requires_pass(self, info: ValidationInfo) -> Self:
diff --git a/frigate/config/proxy.py b/frigate/config/proxy.py
index 3427f60a0..68bd400e7 100644
--- a/frigate/config/proxy.py
+++ b/frigate/config/proxy.py
@@ -1,6 +1,6 @@
 from typing import Optional
 
-from pydantic import Field
+from pydantic import Field, field_validator
 
 from .base import FrigateBaseModel
 from .env import EnvString
@@ -12,6 +12,10 @@ class HeaderMappingConfig(FrigateBaseModel):
     user: str = Field(
         default=None, title="Header name from upstream proxy to identify user."
     )
+    role: str = Field(
+        default=None,
+        title="Header name from upstream proxy to identify user role.",
+    )
 
 
 class ProxyConfig(FrigateBaseModel):
@@ -26,3 +30,17 @@ class ProxyConfig(FrigateBaseModel):
         default=None,
         title="Secret value for proxy authentication.",
     )
+    default_role: Optional[str] = Field(
+        default="viewer", title="Default role for proxy users."
+    )
+    separator: Optional[str] = Field(
+        default=",",
+        title="The character used to separate values in a mapped header.",
+    )
+
+    @field_validator("separator", mode="before")
+    @classmethod
+    def validate_separator_length(cls, v):
+        if v is not None and len(v) != 1:
+            raise ValueError("Separator must be exactly one character")
+        return v
diff --git a/frigate/config/semantic_search.py b/frigate/config/semantic_search.py
deleted file mode 100644
index 2891050a1..000000000
--- a/frigate/config/semantic_search.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-
-from .base import FrigateBaseModel
-
-__all__ = ["SemanticSearchConfig"]
-
-
-class SemanticSearchConfig(FrigateBaseModel):
-    enabled: bool = Field(default=False, title="Enable semantic search.")
-    reindex: Optional[bool] = Field(
-        default=False, title="Reindex all detections on startup."
-    )
-    model_size: str = Field(
-        default="small", title="The size of the embeddings model used."
-    )
diff --git a/frigate/config/telemetry.py b/frigate/config/telemetry.py
index 0610c1f06..ab18831e1 100644
--- a/frigate/config/telemetry.py
+++ b/frigate/config/telemetry.py
@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import Field
 
 from .base import FrigateBaseModel
@@ -11,6 +13,9 @@ class StatsConfig(FrigateBaseModel):
     network_bandwidth: bool = Field(
         default=False, title="Enable network bandwidth for ffmpeg processes."
     )
+    intel_gpu_device: Optional[str] = Field(
+        default=None, title="Define the device to use when gathering SR-IOV stats."
+    )
 
 
 class TelemetryConfig(FrigateBaseModel):
diff --git a/frigate/config/ui.py b/frigate/config/ui.py
index a562edf61..2f66aeed3 100644
--- a/frigate/config/ui.py
+++ b/frigate/config/ui.py
@@ -5,7 +5,7 @@ from pydantic import Field
 
 from .base import FrigateBaseModel
 
-__all__ = ["TimeFormatEnum", "DateTimeStyleEnum", "UIConfig"]
+__all__ = ["TimeFormatEnum", "DateTimeStyleEnum", "UnitSystemEnum", "UIConfig"]
 
 
 class TimeFormatEnum(str, Enum):
@@ -21,6 +21,11 @@ class DateTimeStyleEnum(str, Enum):
     short = "short"
 
 
+class UnitSystemEnum(str, Enum):
+    imperial = "imperial"
+    metric = "metric"
+
+
 class UIConfig(FrigateBaseModel):
     timezone: Optional[str] = Field(default=None, title="Override UI timezone.")
     time_format: TimeFormatEnum = Field(
@@ -35,3 +40,6 @@ class UIConfig(FrigateBaseModel):
     strftime_fmt: Optional[str] = Field(
         default=None, title="Override date and time format using strftime syntax."
     )
+    unit_system: UnitSystemEnum = Field(
+        default=UnitSystemEnum.metric, title="The unit system to use for measurements."
+    )
diff --git a/frigate/const.py b/frigate/const.py
index 5976f47b1..699a194ac 100644
--- a/frigate/const.py
+++ b/frigate/const.py
@@ -1,12 +1,16 @@
+import os
 import re
 
+INSTALL_DIR = "/opt/frigate"
 CONFIG_DIR = "/config"
 DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
 MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"
 BASE_DIR = "/media/frigate"
 CLIPS_DIR = f"{BASE_DIR}/clips"
-RECORD_DIR = f"{BASE_DIR}/recordings"
 EXPORT_DIR = f"{BASE_DIR}/exports"
+FACE_DIR = f"{CLIPS_DIR}/faces"
+THUMB_DIR = f"{CLIPS_DIR}/thumbs"
+RECORD_DIR = f"{BASE_DIR}/recordings"
 BIRDSEYE_PIPE = "/tmp/cache/birdseye"
 CACHE_DIR = "/tmp/cache"
 FRIGATE_LOCALHOST = "http://127.0.0.1:5000"
@@ -22,6 +26,7 @@ DEFAULT_ATTRIBUTE_LABEL_MAP = {
     "car": [
         "amazon",
         "an_post",
+        "canada_post",
         "dhl",
         "dpd",
         "fedex",
@@ -31,9 +36,11 @@ DEFAULT_ATTRIBUTE_LABEL_MAP = {
         "postnl",
         "postnord",
         "purolator",
+        "royal_mail",
         "ups",
         "usps",
     ],
+    "motorcycle": ["license_plate"],
 }
 LABEL_CONSOLIDATION_MAP = {
     "car": 0.8,
@@ -59,11 +66,14 @@ MAX_WAL_SIZE = 10  # MB
 
 # Ffmpeg constants
 
-DEFAULT_FFMPEG_VERSION = "7.0"
-INCLUDED_FFMPEG_VERSIONS = ["7.0", "5.0"]
+DEFAULT_FFMPEG_VERSION = os.environ.get("DEFAULT_FFMPEG_VERSION", "")
+INCLUDED_FFMPEG_VERSIONS = os.environ.get("INCLUDED_FFMPEG_VERSIONS", "").split(":")
+LIBAVFORMAT_VERSION_MAJOR = int(os.environ.get("LIBAVFORMAT_VERSION_MAJOR", "59"))
 FFMPEG_HWACCEL_NVIDIA = "preset-nvidia"
 FFMPEG_HWACCEL_VAAPI = "preset-vaapi"
 FFMPEG_HWACCEL_VULKAN = "preset-vulkan"
+FFMPEG_HWACCEL_RKMPP = "preset-rkmpp"
+FFMPEG_HVC1_ARGS = ["-tag:v", "hvc1"]
 
 # Regex constants
 
@@ -102,6 +112,7 @@ UPDATE_CAMERA_ACTIVITY = "update_camera_activity"
 UPDATE_EVENT_DESCRIPTION = "update_event_description"
 UPDATE_MODEL_STATE = "update_model_state"
 UPDATE_EMBEDDINGS_REINDEX_PROGRESS = "handle_embeddings_reindex_progress"
+NOTIFICATION_TEST = "notification_test"
 
 # Stats Values
 
@@ -121,3 +132,7 @@ AUTOTRACKING_ZOOM_EDGE_THRESHOLD = 0.05
 
 JWT_SECRET_ENV_VAR = "FRIGATE_JWT_SECRET"
 PASSWORD_HASH_ALGORITHM = "pbkdf2_sha256"
+
+# Queues
+
+FAST_QUEUE_TIMEOUT = 0.00001  # seconds
diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py
new file mode 100644
index 000000000..aea6751a0
--- /dev/null
+++ b/frigate/data_processing/common/face/model.py
@@ -0,0 +1,371 @@
+import logging
+import os
+import queue
+import threading
+from abc import ABC, abstractmethod
+
+import cv2
+import numpy as np
+from scipy import stats
+
+from frigate.config import FrigateConfig
+from frigate.const import MODEL_CACHE_DIR
+from frigate.embeddings.onnx.face_embedding import ArcfaceEmbedding, FaceNetEmbedding
+
+logger = logging.getLogger(__name__)
+
+
+class FaceRecognizer(ABC):
+    """Face recognition runner."""
+
+    def __init__(self, config: FrigateConfig) -> None:
+        self.config = config
+        self.landmark_detector: cv2.face.FacemarkLBF = None
+        self.init_landmark_detector()
+
+    @abstractmethod
+    def build(self) -> None:
+        """Build face recognition model."""
+        pass
+
+    @abstractmethod
+    def clear(self) -> None:
+        """Clear current built model."""
+        pass
+
+    @abstractmethod
+    def classify(self, face_image: np.ndarray) -> tuple[str, float] | None:
+        pass
+
+    def init_landmark_detector(self) -> None:
+        landmark_model = os.path.join(MODEL_CACHE_DIR, "facedet/landmarkdet.yaml")
+
+        if os.path.exists(landmark_model):
+            self.landmark_detector = cv2.face.createFacemarkLBF()
+            self.landmark_detector.loadModel(landmark_model)
+
+    def align_face(
+        self,
+        image: np.ndarray,
+        output_width: int,
+        output_height: int,
+    ) -> np.ndarray:
+        # landmark is run on grayscale images
+
+        if image.ndim == 3:
+            land_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        else:
+            land_image = image
+
+        _, lands = self.landmark_detector.fit(
+            land_image, np.array([(0, 0, land_image.shape[1], land_image.shape[0])])
+        )
+        landmarks: np.ndarray = lands[0][0]
+
+        # get landmarks for eyes
+        leftEyePts = landmarks[42:48]
+        rightEyePts = landmarks[36:42]
+
+        # compute the center of mass for each eye
+        leftEyeCenter = leftEyePts.mean(axis=0).astype("int")
+        rightEyeCenter = rightEyePts.mean(axis=0).astype("int")
+
+        # compute the angle between the eye centroids
+        dY = rightEyeCenter[1] - leftEyeCenter[1]
+        dX = rightEyeCenter[0] - leftEyeCenter[0]
+        angle = np.degrees(np.arctan2(dY, dX)) - 180
+
+        # compute the desired right eye x-coordinate based on the
+        # desired x-coordinate of the left eye
+        desiredRightEyeX = 1.0 - 0.35
+
+        # determine the scale of the new resulting image by taking
+        # the ratio of the distance between eyes in the *current*
+        # image to the ratio of distance between eyes in the
+        # *desired* image
+        dist = np.sqrt((dX**2) + (dY**2))
+        desiredDist = desiredRightEyeX - 0.35
+        desiredDist *= output_width
+        scale = desiredDist / dist
+
+        # compute center (x, y)-coordinates (i.e., the median point)
+        # between the two eyes in the input image
+        # grab the rotation matrix for rotating and scaling the face
+        eyesCenter = (
+            int((leftEyeCenter[0] + rightEyeCenter[0]) // 2),
+            int((leftEyeCenter[1] + rightEyeCenter[1]) // 2),
+        )
+        M = cv2.getRotationMatrix2D(eyesCenter, angle, scale)
+
+        # update the translation component of the matrix
+        tX = output_width * 0.5
+        tY = output_height * 0.35
+        M[0, 2] += tX - eyesCenter[0]
+        M[1, 2] += tY - eyesCenter[1]
+
+        # apply the affine transformation
+        return cv2.warpAffine(
+            image, M, (output_width, output_height), flags=cv2.INTER_CUBIC
+        )
+
+    def get_blur_confidence_reduction(self, input: np.ndarray) -> float:
+        """Calculates the reduction in confidence based on the blur of the image."""
+        if not self.config.face_recognition.blur_confidence_filter:
+            return 0.0
+
+        variance = cv2.Laplacian(input, cv2.CV_64F).var()
+        logger.debug(f"face detected with blurriness {variance}")
+
+        if variance < 120:  # image is very blurry
+            return 0.06
+        elif variance < 160:  # image moderately blurry
+            return 0.04
+        elif variance < 200:  # image is slightly blurry
+            return 0.02
+        elif variance < 250:  # image is mostly clear
+            return 0.01
+        else:
+            return 0.0
+
+
+def similarity_to_confidence(
+    cosine_similarity: float, median=0.3, range_width=0.6, slope_factor=12
+):
+    """
+    Default sigmoid function to map cosine similarity to confidence.
+
+    Args:
+        cosine_similarity (float): The input cosine similarity.
+        median (float): Assumed median of cosine similarity distribution.
+        range_width (float): Assumed range of cosine similarity distribution (90th percentile - 10th percentile).
+        slope_factor (float): Adjusts the steepness of the curve.
+
+    Returns:
+        float: The confidence score.
+    """
+
+    # Calculate slope and bias
+    slope = slope_factor / range_width
+    bias = median
+
+    # Calculate confidence
+    confidence = 1 / (1 + np.exp(-slope * (cosine_similarity - bias)))
+    return confidence
+
+
+class FaceNetRecognizer(FaceRecognizer):
+    def __init__(self, config: FrigateConfig):
+        super().__init__(config)
+        self.mean_embs: dict[int, np.ndarray] = {}
+        self.face_embedder: FaceNetEmbedding = FaceNetEmbedding()
+        self.model_builder_queue: queue.Queue | None = None
+
+    def clear(self) -> None:
+        self.mean_embs = {}
+
+    def run_build_task(self) -> None:
+        self.model_builder_queue = queue.Queue()
+
+        def build_model():
+            face_embeddings_map: dict[str, list[np.ndarray]] = {}
+            idx = 0
+
+            dir = "/media/frigate/clips/faces"
+            for name in os.listdir(dir):
+                if name == "train":
+                    continue
+
+                face_folder = os.path.join(dir, name)
+
+                if not os.path.isdir(face_folder):
+                    continue
+
+                face_embeddings_map[name] = []
+                for image in os.listdir(face_folder):
+                    img = cv2.imread(os.path.join(face_folder, image))
+
+                    if img is None:
+                        continue
+
+                    img = self.align_face(img, img.shape[1], img.shape[0])
+                    emb = self.face_embedder([img])[0].squeeze()
+                    face_embeddings_map[name].append(emb)
+
+                idx += 1
+
+            self.model_builder_queue.put(face_embeddings_map)
+
+        thread = threading.Thread(target=build_model, daemon=True)
+        thread.start()
+
+    def build(self):
+        if not self.landmark_detector:
+            self.init_landmark_detector()
+            return None
+
+        if self.model_builder_queue is not None:
+            try:
+                face_embeddings_map: dict[str, list[np.ndarray]] = (
+                    self.model_builder_queue.get(timeout=0.1)
+                )
+                self.model_builder_queue = None
+            except queue.Empty:
+                return
+        else:
+            self.run_build_task()
+            return
+
+        if not face_embeddings_map:
+            return
+
+        for name, embs in face_embeddings_map.items():
+            if embs:
+                self.mean_embs[name] = stats.trim_mean(embs, 0.15)
+
+        logger.debug("Finished building ArcFace model")
+
+    def classify(self, face_image):
+        if not self.landmark_detector:
+            return None
+
+        if not self.mean_embs:
+            self.build()
+
+            if not self.mean_embs:
+                return None
+
+        # face recognition is best run on grayscale images
+
+        # get blur factor before aligning face
+        blur_reduction = self.get_blur_confidence_reduction(face_image)
+
+        # align face and run recognition
+        img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])
+        embedding = self.face_embedder([img])[0].squeeze()
+
+        score = 0
+        label = ""
+
+        for name, mean_emb in self.mean_embs.items():
+            dot_product = np.dot(embedding, mean_emb)
+            magnitude_A = np.linalg.norm(embedding)
+            magnitude_B = np.linalg.norm(mean_emb)
+
+            cosine_similarity = dot_product / (magnitude_A * magnitude_B)
+            confidence = similarity_to_confidence(
+                cosine_similarity, median=0.5, range_width=0.6
+            )
+
+            if confidence > score:
+                score = confidence
+                label = name
+
+        return label, round(score - blur_reduction, 2)
+
+
+class ArcFaceRecognizer(FaceRecognizer):
+    def __init__(self, config: FrigateConfig):
+        super().__init__(config)
+        self.mean_embs: dict[int, np.ndarray] = {}
+        self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding()
+        self.model_builder_queue: queue.Queue | None = None
+
+    def clear(self) -> None:
+        self.mean_embs = {}
+
+    def run_build_task(self) -> None:
+        self.model_builder_queue = queue.Queue()
+
+        def build_model():
+            face_embeddings_map: dict[str, list[np.ndarray]] = {}
+            idx = 0
+
+            dir = "/media/frigate/clips/faces"
+            for name in os.listdir(dir):
+                if name == "train":
+                    continue
+
+                face_folder = os.path.join(dir, name)
+
+                if not os.path.isdir(face_folder):
+                    continue
+
+                face_embeddings_map[name] = []
+                for image in os.listdir(face_folder):
+                    img = cv2.imread(os.path.join(face_folder, image))
+
+                    if img is None:
+                        continue
+
+                    img = self.align_face(img, img.shape[1], img.shape[0])
+                    emb = self.face_embedder([img])[0].squeeze()
+                    face_embeddings_map[name].append(emb)
+
+                idx += 1
+
+            self.model_builder_queue.put(face_embeddings_map)
+
+        thread = threading.Thread(target=build_model, daemon=True)
+        thread.start()
+
+    def build(self):
+        if not self.landmark_detector:
+            self.init_landmark_detector()
+            return None
+
+        if self.model_builder_queue is not None:
+            try:
+                face_embeddings_map: dict[str, list[np.ndarray]] = (
+                    self.model_builder_queue.get(timeout=0.1)
+                )
+                self.model_builder_queue = None
+            except queue.Empty:
+                return
+        else:
+            self.run_build_task()
+            return
+
+        if not face_embeddings_map:
+            return
+
+        for name, embs in face_embeddings_map.items():
+            if embs:
+                self.mean_embs[name] = stats.trim_mean(embs, 0.15)
+
+        logger.debug("Finished building ArcFace model")
+
+    def classify(self, face_image):
+        if not self.landmark_detector:
+            return None
+
+        if not self.mean_embs:
+            self.build()
+
+            if not self.mean_embs:
+                return None
+
+        # face recognition is best run on grayscale images
+
+        # get blur reduction before aligning face
+        blur_reduction = self.get_blur_confidence_reduction(face_image)
+
+        # align face and run recognition
+        img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])
+        embedding = self.face_embedder([img])[0].squeeze()
+
+        score = 0
+        label = ""
+
+        for name, mean_emb in self.mean_embs.items():
+            dot_product = np.dot(embedding, mean_emb)
+            magnitude_A = np.linalg.norm(embedding)
+            magnitude_B = np.linalg.norm(mean_emb)
+
+            cosine_similarity = dot_product / (magnitude_A * magnitude_B)
+            confidence = similarity_to_confidence(cosine_similarity)
+
+            if confidence > score:
+                score = confidence
+                label = name
+
+        return label, round(score - blur_reduction, 2)
diff --git a/frigate/data_processing/common/license_plate/mixin.py b/frigate/data_processing/common/license_plate/mixin.py
new file mode 100644
index 000000000..2c68ce374
--- /dev/null
+++ b/frigate/data_processing/common/license_plate/mixin.py
@@ -0,0 +1,1744 @@
+"""Handle processing images for face detection and recognition."""
+
+import base64
+import datetime
+import json
+import logging
+import math
+import os
+import random
+import re
+import string
+from pathlib import Path
+from typing import Any, List, Optional, Tuple
+
+import cv2
+import numpy as np
+from Levenshtein import distance, jaro_winkler
+from pyclipper import ET_CLOSEDPOLYGON, JT_ROUND, PyclipperOffset
+from shapely.geometry import Polygon
+
+from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
+    EventMetadataTypeEnum,
+)
+from frigate.const import CLIPS_DIR
+from frigate.embeddings.onnx.lpr_embedding import LPR_EMBEDDING_SIZE
+from frigate.types import TrackedObjectUpdateTypesEnum
+from frigate.util.builtin import EventsPerSecond, InferenceSpeed
+from frigate.util.image import area
+
+logger = logging.getLogger(__name__)
+
+WRITE_DEBUG_IMAGES = False
+
+
+class LicensePlateProcessingMixin:
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.plate_rec_speed = InferenceSpeed(self.metrics.alpr_speed)
+        self.plates_rec_second = EventsPerSecond()
+        self.plates_rec_second.start()
+        self.plate_det_speed = InferenceSpeed(self.metrics.yolov9_lpr_speed)
+        self.plates_det_second = EventsPerSecond()
+        self.plates_det_second.start()
+        self.event_metadata_publisher = EventMetadataPublisher()
+        self.ctc_decoder = CTCDecoder()
+        self.batch_size = 6
+
+        # Detection specific parameters
+        self.min_size = 8
+        self.max_size = 960
+        self.box_thresh = 0.6
+        self.mask_thresh = 0.6
+
+        # matching
+        self.similarity_threshold = 0.8
+
+    def _detect(self, image: np.ndarray) -> List[np.ndarray]:
+        """
+        Detect possible areas of text in the input image by first resizing and normalizing it,
+        running a detection model, and filtering out low-probability regions.
+
+        Args:
+            image (np.ndarray): The input image in which license plates will be detected.
+
+        Returns:
+            List[np.ndarray]: A list of bounding box coordinates representing detected license plates.
+        """
+        h, w = image.shape[:2]
+
+        if sum([h, w]) < 64:
+            image = self._zero_pad(image)
+
+        resized_image = self._resize_image(image)
+        normalized_image = self._normalize_image(resized_image)
+
+        if WRITE_DEBUG_IMAGES:
+            current_time = int(datetime.datetime.now().timestamp())
+            cv2.imwrite(
+                f"debug/frames/license_plate_resized_{current_time}.jpg",
+                resized_image,
+            )
+
+        try:
+            outputs = self.model_runner.detection_model([normalized_image])[0]
+        except Exception as e:
+            logger.warning(f"Error running LPR box detection model: {e}")
+            return []
+
+        outputs = outputs[0, :, :]
+
+        if False:
+            current_time = int(datetime.datetime.now().timestamp())
+            cv2.imwrite(
+                f"debug/frames/probability_map_{current_time}.jpg",
+                (outputs * 255).astype(np.uint8),
+            )
+
+        boxes, _ = self._boxes_from_bitmap(outputs, outputs > self.mask_thresh, w, h)
+        return self._filter_polygon(boxes, (h, w))
+
+    def _classify(
+        self, images: List[np.ndarray]
+    ) -> Tuple[List[np.ndarray], List[Tuple[str, float]]]:
+        """
+        Classify the orientation or category of each detected license plate.
+
+        Args:
+            images (List[np.ndarray]): A list of images of detected license plates.
+
+        Returns:
+            Tuple[List[np.ndarray], List[Tuple[str, float]]]: A tuple of rotated/normalized plate images
+                                                            and classification results with confidence scores.
+        """
+        num_images = len(images)
+        indices = np.argsort([x.shape[1] / x.shape[0] for x in images])
+
+        for i in range(0, num_images, self.batch_size):
+            norm_images = []
+            for j in range(i, min(num_images, i + self.batch_size)):
+                norm_img = self._preprocess_classification_image(images[indices[j]])
+                norm_img = norm_img[np.newaxis, :]
+                norm_images.append(norm_img)
+
+        try:
+            outputs = self.model_runner.classification_model(norm_images)
+        except Exception as e:
+            logger.warning(f"Error running LPR classification model: {e}")
+            return
+
+        return self._process_classification_output(images, outputs)
+
+    def _recognize(
+        self, camera: string, images: List[np.ndarray]
+    ) -> Tuple[List[str], List[List[float]]]:
+        """
+        Recognize the characters on the detected license plates using the recognition model.
+
+        Args:
+            images (List[np.ndarray]): A list of images of license plates to recognize.
+
+        Returns:
+            Tuple[List[str], List[List[float]]]: A tuple of recognized license plate texts and confidence scores.
+        """
+        input_shape = [3, 48, 320]
+        num_images = len(images)
+
+        for index in range(0, num_images, self.batch_size):
+            input_h, input_w = input_shape[1], input_shape[2]
+            max_wh_ratio = input_w / input_h
+            norm_images = []
+
+            # calculate the maximum aspect ratio in the current batch
+            for i in range(index, min(num_images, index + self.batch_size)):
+                h, w = images[i].shape[0:2]
+                max_wh_ratio = max(max_wh_ratio, w * 1.0 / h)
+
+            # preprocess the images based on the max aspect ratio
+            for i in range(index, min(num_images, index + self.batch_size)):
+                norm_image = self._preprocess_recognition_image(
+                    camera, images[i], max_wh_ratio
+                )
+                norm_image = norm_image[np.newaxis, :]
+                norm_images.append(norm_image)
+
+        try:
+            outputs = self.model_runner.recognition_model(norm_images)
+        except Exception as e:
+            logger.warning(f"Error running LPR recognition model: {e}")
+            return [], []
+
+        return self.ctc_decoder(outputs)
+
+    def _process_license_plate(
+        self, camera: str, id: str, image: np.ndarray
+    ) -> Tuple[List[str], List[List[float]], List[int]]:
+        """
+        Complete pipeline for detecting, classifying, and recognizing license plates in the input image.
+        Combines multi-line plates into a single plate string, grouping boxes by vertical alignment and ordering top to bottom,
+        but only combines boxes if their average confidence scores meet the threshold and their heights are similar.
+
+        Args:
+            camera (str): Camera identifier.
+            id (str): Event identifier.
+            image (np.ndarray): The input image in which to detect, classify, and recognize license plates.
+
+        Returns:
+            Tuple[List[str], List[List[float]], List[int]]: Detected license plate texts, character-level confidence scores for each plate (flattened into a single list per plate), and areas of the plates.
+        """
+        if (
+            self.model_runner.detection_model.runner is None
+            or self.model_runner.classification_model.runner is None
+            or self.model_runner.recognition_model.runner is None
+        ):
+            # we might still be downloading the models
+            logger.debug("Model runners not loaded")
+            return [], [], []
+
+        boxes = self._detect(image)
+        if len(boxes) == 0:
+            logger.debug("No boxes found by OCR detector model")
+            return [], [], []
+
+        if len(boxes) > 0:
+            plate_left = np.min([np.min(box[:, 0]) for box in boxes])
+            plate_right = np.max([np.max(box[:, 0]) for box in boxes])
+            plate_width = plate_right - plate_left
+        else:
+            plate_width = 0
+
+        boxes = self._merge_nearby_boxes(
+            boxes, plate_width=plate_width, gap_fraction=0.1
+        )
+
+        current_time = int(datetime.datetime.now().timestamp())
+        if WRITE_DEBUG_IMAGES:
+            debug_image = image.copy()
+            for box in boxes:
+                box = box.astype(int)
+                x_min, y_min = np.min(box[:, 0]), np.min(box[:, 1])
+                x_max, y_max = np.max(box[:, 0]), np.max(box[:, 1])
+                cv2.rectangle(
+                    debug_image,
+                    (x_min, y_min),
+                    (x_max, y_max),
+                    color=(0, 255, 0),
+                    thickness=2,
+                )
+
+            cv2.imwrite(
+                f"debug/frames/license_plate_boxes_{current_time}.jpg", debug_image
+            )
+
+        boxes = self._sort_boxes(list(boxes))
+
+        # Step 1: Compute box heights and group boxes by vertical alignment and height similarity
+        box_info = []
+        for i, box in enumerate(boxes):
+            y_coords = box[:, 1]
+            y_min, y_max = np.min(y_coords), np.max(y_coords)
+            height = y_max - y_min
+            box_info.append((y_min, y_max, height, i))
+
+        # Initial grouping based on y-coordinate overlap and height similarity
+        initial_groups = []
+        current_group = [box_info[0]]
+        height_tolerance = 0.25  # Allow 25% difference in height for grouping
+
+        for i in range(1, len(box_info)):
+            prev_y_min, prev_y_max, prev_height, _ = current_group[-1]
+            curr_y_min, _, curr_height, _ = box_info[i]
+
+            # Check y-coordinate overlap
+            overlap_threshold = 0.1 * (prev_y_max - prev_y_min)
+            overlaps = curr_y_min <= prev_y_max + overlap_threshold
+
+            # Check height similarity
+            height_ratio = min(prev_height, curr_height) / max(prev_height, curr_height)
+            height_similar = height_ratio >= (1 - height_tolerance)
+
+            if overlaps and height_similar:
+                current_group.append(box_info[i])
+            else:
+                initial_groups.append(current_group)
+                current_group = [box_info[i]]
+        initial_groups.append(current_group)
+
+        # Step 2: Process each initial group, filter by confidence
+        all_license_plates = []
+        all_confidences = []
+        all_areas = []
+        processed_indices = set()
+
+        recognition_threshold = self.lpr_config.recognition_threshold
+
+        for group in initial_groups:
+            # Sort group by y-coordinate (top to bottom)
+            group.sort(key=lambda x: x[0])
+            group_indices = [item[3] for item in group]
+
+            # Skip if all indices in this group have already been processed
+            if all(idx in processed_indices for idx in group_indices):
+                continue
+
+            # Crop images for the group
+            group_boxes = [boxes[i] for i in group_indices]
+            group_plate_images = [
+                self._crop_license_plate(image, box) for box in group_boxes
+            ]
+
+            if WRITE_DEBUG_IMAGES:
+                for i, img in enumerate(group_plate_images):
+                    cv2.imwrite(
+                        f"debug/frames/license_plate_cropped_{current_time}_{group_indices[i] + 1}.jpg",
+                        img,
+                    )
+
+            if self.config.lpr.debug_save_plates:
+                logger.debug(f"{camera}: Saving plates for event {id}")
+                Path(os.path.join(CLIPS_DIR, f"lpr/{camera}/{id}")).mkdir(
+                    parents=True, exist_ok=True
+                )
+                for i, img in enumerate(group_plate_images):
+                    cv2.imwrite(
+                        os.path.join(
+                            CLIPS_DIR,
+                            f"lpr/{camera}/{id}/{current_time}_{group_indices[i] + 1}.jpg",
+                        ),
+                        img,
+                    )
+
+            # Recognize text in each cropped image
+            results, confidences = self._recognize(camera, group_plate_images)
+
+            if not results:
+                continue
+
+            if not confidences:
+                confidences = [[0.0] for _ in results]
+
+            # Compute average confidence for each box's recognized text
+            avg_confidences = []
+            for conf_list in confidences:
+                avg_conf = sum(conf_list) / len(conf_list) if conf_list else 0.0
+                avg_confidences.append(avg_conf)
+
+            # Filter boxes based on the recognition threshold
+            qualifying_indices = []
+            qualifying_results = []
+            qualifying_confidences = []
+            for i, (avg_conf, result, conf_list) in enumerate(
+                zip(avg_confidences, results, confidences)
+            ):
+                if avg_conf >= recognition_threshold:
+                    qualifying_indices.append(group_indices[i])
+                    qualifying_results.append(result)
+                    qualifying_confidences.append(conf_list)
+
+            if not qualifying_results:
+                continue
+
+            processed_indices.update(qualifying_indices)
+
+            # Combine the qualifying results into a single plate string
+            combined_plate = " ".join(qualifying_results)
+
+            flat_confidences = [
+                conf for conf_list in qualifying_confidences for conf in conf_list
+            ]
+
+            # Compute the combined area for qualifying boxes
+            qualifying_boxes = [boxes[i] for i in qualifying_indices]
+            qualifying_plate_images = [
+                self._crop_license_plate(image, box) for box in qualifying_boxes
+            ]
+            group_areas = [
+                img.shape[0] * img.shape[1] for img in qualifying_plate_images
+            ]
+            combined_area = sum(group_areas)
+
+            all_license_plates.append(combined_plate)
+            all_confidences.append(flat_confidences)
+            all_areas.append(combined_area)
+
+        # Step 3: Filter and sort the combined plates
+        if all_license_plates:
+            filtered_data = []
+            for plate, conf_list, area in zip(
+                all_license_plates, all_confidences, all_areas
+            ):
+                if len(plate) < self.lpr_config.min_plate_length:
+                    logger.debug(
+                        f"Filtered out '{plate}' due to length ({len(plate)} < {self.lpr_config.min_plate_length})"
+                    )
+                    continue
+
+                if self.lpr_config.format and not re.fullmatch(
+                    self.lpr_config.format, plate
+                ):
+                    logger.debug(f"Filtered out '{plate}' due to format mismatch")
+                    continue
+
+                filtered_data.append((plate, conf_list, area))
+
+            sorted_data = sorted(
+                filtered_data,
+                key=lambda x: (x[2], len(x[0]), sum(x[1]) / len(x[1]) if x[1] else 0),
+                reverse=True,
+            )
+
+            if sorted_data:
+                return map(list, zip(*sorted_data))
+
+        return [], [], []
+
+    def _resize_image(self, image: np.ndarray) -> np.ndarray:
+        """
+        Resize the input image while maintaining the aspect ratio, ensuring dimensions are multiples of 32.
+
+        Args:
+            image (np.ndarray): The input image to resize.
+
+        Returns:
+            np.ndarray: The resized image.
+        """
+        h, w = image.shape[:2]
+        ratio = min(self.max_size / max(h, w), 1.0)
+        resize_h = max(int(round(int(h * ratio) / 32) * 32), 32)
+        resize_w = max(int(round(int(w * ratio) / 32) * 32), 32)
+        return cv2.resize(image, (resize_w, resize_h))
+
+    def _normalize_image(self, image: np.ndarray) -> np.ndarray:
+        """
+        Normalize the input image by subtracting the mean and multiplying by the standard deviation.
+
+        Args:
+            image (np.ndarray): The input image to normalize.
+
+        Returns:
+            np.ndarray: The normalized image, transposed to match the model's expected input format.
+        """
+        mean = np.array([123.675, 116.28, 103.53]).reshape(1, -1).astype("float64")
+        std = 1 / np.array([58.395, 57.12, 57.375]).reshape(1, -1).astype("float64")
+
+        image = image.astype("float32")
+        cv2.subtract(image, mean, image)
+        cv2.multiply(image, std, image)
+        return image.transpose((2, 0, 1))[np.newaxis, ...]
+
+    def _merge_nearby_boxes(
+        self,
+        boxes: List[np.ndarray],
+        plate_width: float,
+        gap_fraction: float = 0.1,
+        min_overlap_fraction: float = -0.2,
+    ) -> List[np.ndarray]:
+        """
+        Merge bounding boxes that are likely part of the same license plate based on proximity,
+        with a dynamic max_gap based on the provided width of the entire license plate.
+
+        Args:
+            boxes (List[np.ndarray]): List of bounding boxes with shape (n, 4, 2), where n is the number of boxes,
+                                    each box has 4 corners, and each corner has (x, y) coordinates.
+            plate_width (float): The width of the entire license plate in pixels, used to calculate max_gap.
+            gap_fraction (float): Fraction of the plate width to use as the maximum gap.
+                                Default is 0.1 (10% of the plate width).
+
+        Returns:
+            List[np.ndarray]: List of merged bounding boxes.
+        """
+        if len(boxes) == 0:
+            return []
+
+        max_gap = plate_width * gap_fraction
+        min_overlap = plate_width * min_overlap_fraction
+
+        # Sort boxes by top left x
+        sorted_boxes = sorted(boxes, key=lambda x: x[0][0])
+
+        merged_boxes = []
+        current_box = sorted_boxes[0]
+
+        for i in range(1, len(sorted_boxes)):
+            next_box = sorted_boxes[i]
+
+            # Calculate the horizontal gap between the current box and the next box
+            current_right = np.max(
+                current_box[:, 0]
+            )  # Rightmost x-coordinate of current box
+            next_left = np.min(next_box[:, 0])  # Leftmost x-coordinate of next box
+            horizontal_gap = next_left - current_right
+
+            # Check if the boxes are vertically aligned (similar y-coordinates)
+            current_top = np.min(current_box[:, 1])
+            current_bottom = np.max(current_box[:, 1])
+            next_top = np.min(next_box[:, 1])
+            next_bottom = np.max(next_box[:, 1])
+
+            # Consider boxes part of the same plate if they are close horizontally or overlap
+            # within the allowed limit and their vertical positions overlap significantly
+            if min_overlap <= horizontal_gap <= max_gap and max(
+                current_top, next_top
+            ) <= min(current_bottom, next_bottom):
+                merged_points = np.vstack((current_box, next_box))
+                new_box = np.array(
+                    [
+                        [
+                            np.min(merged_points[:, 0]),
+                            np.min(merged_points[:, 1]),
+                        ],
+                        [
+                            np.max(merged_points[:, 0]),
+                            np.min(merged_points[:, 1]),
+                        ],
+                        [
+                            np.max(merged_points[:, 0]),
+                            np.max(merged_points[:, 1]),
+                        ],
+                        [
+                            np.min(merged_points[:, 0]),
+                            np.max(merged_points[:, 1]),
+                        ],
+                    ]
+                )
+                current_box = new_box
+            else:
+                # If the boxes are not close enough or overlap too much, add the current box to the result
+                merged_boxes.append(current_box)
+                current_box = next_box
+
+        # Add the last box
+        merged_boxes.append(current_box)
+
+        return np.array(merged_boxes, dtype=np.int32)
+
+    def _boxes_from_bitmap(
+        self, output: np.ndarray, mask: np.ndarray, dest_width: int, dest_height: int
+    ) -> Tuple[np.ndarray, List[float]]:
+        """
+        Process the binary mask to extract bounding boxes and associated confidence scores.
+
+        Args:
+            output (np.ndarray): Output confidence map from the model.
+            mask (np.ndarray): Binary mask of detected regions.
+            dest_width (int): Target width for scaling the box coordinates.
+            dest_height (int): Target height for scaling the box coordinates.
+
+        Returns:
+            Tuple[np.ndarray, List[float]]: Array of bounding boxes and list of corresponding scores.
+        """
+
+        mask = (mask * 255).astype(np.uint8)
+        height, width = mask.shape
+        outs = cv2.findContours(mask, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
+
+        # handle different return values of findContours between OpenCV versions
+        contours = outs[0] if len(outs) == 2 else outs[1]
+
+        boxes = []
+        scores = []
+
+        for index in range(len(contours)):
+            contour = contours[index]
+
+            # get minimum bounding box (rotated rectangle) around the contour and the smallest side length.
+            points, sside = self._get_min_boxes(contour)
+            if sside < self.min_size:
+                continue
+
+            points = np.array(points, dtype=np.float32)
+
+            score = self._box_score(output, contour)
+            if self.box_thresh > score:
+                continue
+
+            points = self._expand_box(points)
+
+            # Get the minimum area rectangle again after expansion
+            points, sside = self._get_min_boxes(points.reshape(-1, 1, 2))
+            if sside < self.min_size + 2:
+                continue
+
+            points = np.array(points, dtype=np.float32)
+
+            # normalize and clip box coordinates to fit within the destination image size.
+            points[:, 0] = np.clip(
+                np.round(points[:, 0] / width * dest_width), 0, dest_width
+            )
+            points[:, 1] = np.clip(
+                np.round(points[:, 1] / height * dest_height), 0, dest_height
+            )
+
+            boxes.append(points.astype("int32"))
+            scores.append(score)
+
+        return np.array(boxes, dtype="int32"), scores
+
+    @staticmethod
+    def _get_min_boxes(contour: np.ndarray) -> Tuple[List[Tuple[float, float]], float]:
+        """
+        Calculate the minimum bounding box (rotated rectangle) for a given contour.
+
+        Args:
+            contour (np.ndarray): The contour points of the detected shape.
+
+        Returns:
+            Tuple[List[Tuple[float, float]], float]: A list of four points representing the
+            corners of the bounding box, and the length of the shortest side.
+        """
+        bounding_box = cv2.minAreaRect(contour)
+        points = sorted(cv2.boxPoints(bounding_box), key=lambda x: x[0])
+        index_1, index_4 = (0, 1) if points[1][1] > points[0][1] else (1, 0)
+        index_2, index_3 = (2, 3) if points[3][1] > points[2][1] else (3, 2)
+        box = [points[index_1], points[index_2], points[index_3], points[index_4]]
+        return box, min(bounding_box[1])
+
+    @staticmethod
+    def _box_score(bitmap: np.ndarray, contour: np.ndarray) -> float:
+        """
+        Calculate the average score within the bounding box of a contour.
+
+        Args:
+            bitmap (np.ndarray): The output confidence map from the model.
+            contour (np.ndarray): The contour of the detected shape.
+
+        Returns:
+            float: The average score of the pixels inside the contour region.
+        """
+        h, w = bitmap.shape[:2]
+        contour = contour.reshape(-1, 2)
+        x1, y1 = np.clip(contour.min(axis=0), 0, [w - 1, h - 1])
+        x2, y2 = np.clip(contour.max(axis=0), 0, [w - 1, h - 1])
+        mask = np.zeros((y2 - y1 + 1, x2 - x1 + 1), dtype=np.uint8)
+        cv2.fillPoly(mask, [contour - [x1, y1]], 1)
+        return cv2.mean(bitmap[y1 : y2 + 1, x1 : x2 + 1], mask)[0]
+
+    @staticmethod
+    def _expand_box(points: List[Tuple[float, float]]) -> np.ndarray:
+        """
+        Expand a polygonal shape slightly by a factor determined by the area-to-perimeter ratio.
+
+        Args:
+            points (List[Tuple[float, float]]): Points of the polygon to expand.
+
+        Returns:
+            np.ndarray: Expanded polygon points.
+        """
+        polygon = Polygon(points)
+        distance = polygon.area / polygon.length
+        offset = PyclipperOffset()
+        offset.AddPath(points, JT_ROUND, ET_CLOSEDPOLYGON)
+        expanded = np.array(offset.Execute(distance * 1.5)).reshape((-1, 2))
+        return expanded
+
+    def _filter_polygon(
+        self, points: List[np.ndarray], shape: Tuple[int, int]
+    ) -> np.ndarray:
+        """
+        Filter a set of polygons to include only valid ones that fit within an image shape
+        and meet size constraints.
+
+        Args:
+            points (List[np.ndarray]): List of polygons to filter.
+            shape (Tuple[int, int]): Shape of the image (height, width).
+
+        Returns:
+            np.ndarray: List of filtered polygons.
+        """
+        height, width = shape
+        return np.array(
+            [
+                self._clockwise_order(point)
+                for point in points
+                if self._is_valid_polygon(point, width, height)
+            ]
+        )
+
+    @staticmethod
+    def _is_valid_polygon(point: np.ndarray, width: int, height: int) -> bool:
+        """
+        Check if a polygon is valid, meaning it fits within the image bounds
+        and has sides of a minimum length.
+
+        Args:
+            point (np.ndarray): The polygon to validate.
+            width (int): Image width.
+            height (int): Image height.
+
+        Returns:
+            bool: Whether the polygon is valid or not.
+        """
+        return (
+            point[:, 0].min() >= 0
+            and point[:, 0].max() < width
+            and point[:, 1].min() >= 0
+            and point[:, 1].max() < height
+            and np.linalg.norm(point[0] - point[1]) > 3
+            and np.linalg.norm(point[0] - point[3]) > 3
+        )
+
+    @staticmethod
+    def _clockwise_order(pts: np.ndarray) -> np.ndarray:
+        """
+        Arrange the points of a polygon in order: top-left, top-right, bottom-right, bottom-left.
+        taken from https://github.com/PyImageSearch/imutils/blob/master/imutils/perspective.py
+
+        Args:
+            pts (np.ndarray): Array of points of the polygon.
+
+        Returns:
+            np.ndarray: Points ordered clockwise starting from top-left.
+        """
+        # Sort the points based on their x-coordinates
+        x_sorted = pts[np.argsort(pts[:, 0]), :]
+
+        # Separate the left-most and right-most points
+        left_most = x_sorted[:2, :]
+        right_most = x_sorted[2:, :]
+
+        # Sort the left-most coordinates by y-coordinates
+        left_most = left_most[np.argsort(left_most[:, 1]), :]
+        (tl, bl) = left_most  # Top-left and bottom-left
+
+        # Use the top-left as an anchor to calculate distances to right points
+        # The further point will be the bottom-right
+        distances = np.sqrt(
+            ((tl[0] - right_most[:, 0]) ** 2) + ((tl[1] - right_most[:, 1]) ** 2)
+        )
+
+        # Sort right points by distance (descending)
+        right_idx = np.argsort(distances)[::-1]
+        (br, tr) = right_most[right_idx, :]  # Bottom-right and top-right
+
+        return np.array([tl, tr, br, bl])
+
+    @staticmethod
+    def _sort_boxes(boxes):
+        """
+        Sort polygons based on their position in the image. If boxes are close in vertical
+        position (within 5 pixels), sort them by horizontal position.
+
+        Args:
+            points: detected text boxes with shape [4, 2]
+
+        Returns:
+            List: sorted boxes(array) with shape [4, 2]
+        """
+        boxes.sort(key=lambda x: (x[0][1], x[0][0]))
+        for i in range(len(boxes) - 1):
+            for j in range(i, -1, -1):
+                if abs(boxes[j + 1][0][1] - boxes[j][0][1]) < 5 and (
+                    boxes[j + 1][0][0] < boxes[j][0][0]
+                ):
+                    temp = boxes[j]
+                    boxes[j] = boxes[j + 1]
+                    boxes[j + 1] = temp
+                else:
+                    break
+        return boxes
+
+    @staticmethod
+    def _zero_pad(image: np.ndarray) -> np.ndarray:
+        """
+        Apply zero-padding to an image, ensuring its dimensions are at least 32x32.
+        The padding is added only if needed.
+
+        Args:
+            image (np.ndarray): Input image.
+
+        Returns:
+            np.ndarray: Zero-padded image.
+        """
+        h, w, c = image.shape
+        pad = np.zeros((max(32, h), max(32, w), c), np.uint8)
+        pad[:h, :w, :] = image
+        return pad
+
+    @staticmethod
+    def _preprocess_classification_image(image: np.ndarray) -> np.ndarray:
+        """
+        Preprocess a single image for classification by resizing, normalizing, and padding.
+
+        This method resizes the input image to a fixed height of 48 pixels while adjusting
+        the width dynamically up to a maximum of 192 pixels. The image is then normalized and
+        padded to fit the required input dimensions for classification.
+
+        Args:
+            image (np.ndarray): Input image to preprocess.
+
+        Returns:
+            np.ndarray: Preprocessed and padded image.
+        """
+        # fixed height of 48, dynamic width up to 192
+        input_shape = (3, 48, 192)
+        input_c, input_h, input_w = input_shape
+
+        h, w = image.shape[:2]
+        ratio = w / h
+        resized_w = min(input_w, math.ceil(input_h * ratio))
+
+        resized_image = cv2.resize(image, (resized_w, input_h))
+
+        # handle single-channel images (grayscale) if needed
+        if input_c == 1 and resized_image.ndim == 2:
+            resized_image = resized_image[np.newaxis, :, :]
+        else:
+            resized_image = resized_image.transpose((2, 0, 1))
+
+        # normalize
+        resized_image = (resized_image.astype("float32") / 255.0 - 0.5) / 0.5
+
+        padded_image = np.zeros((input_c, input_h, input_w), dtype=np.float32)
+        padded_image[:, :, :resized_w] = resized_image
+
+        return padded_image
+
+    def _process_classification_output(
+        self, images: List[np.ndarray], outputs: List[np.ndarray]
+    ) -> Tuple[List[np.ndarray], List[Tuple[str, float]]]:
+        """
+        Process the classification model output by matching labels with confidence scores.
+
+        This method processes the outputs from the classification model and rotates images
+        with high confidence of being labeled "180". It ensures that results are mapped to
+        the original image order.
+
+        Args:
+            images (List[np.ndarray]): List of input images.
+            outputs (List[np.ndarray]): Corresponding model outputs.
+
+        Returns:
+            Tuple[List[np.ndarray], List[Tuple[str, float]]]: A tuple of processed images and
+            classification results (label and confidence score).
+        """
+        labels = ["0", "180"]
+        results = [["", 0.0]] * len(images)
+        indices = np.argsort(np.array([x.shape[1] / x.shape[0] for x in images]))
+
+        outputs = np.stack(outputs)
+
+        outputs = [
+            (labels[idx], outputs[i, idx])
+            for i, idx in enumerate(outputs.argmax(axis=1))
+        ]
+
+        for i in range(0, len(images), self.batch_size):
+            for j in range(len(outputs)):
+                label, score = outputs[j]
+                results[indices[i + j]] = [label, score]
+                # make sure we have high confidence if we need to flip a box
+                if "180" in label and score >= 0.7:
+                    images[indices[i + j]] = cv2.rotate(
+                        images[indices[i + j]], cv2.ROTATE_180
+                    )
+
+        return images, results
+
+    def _preprocess_recognition_image(
+        self, camera: string, image: np.ndarray, max_wh_ratio: float
+    ) -> np.ndarray:
+        """
+        Preprocess an image for recognition by dynamically adjusting its width.
+
+        This method adjusts the width of the image based on the maximum width-to-height ratio
+        while keeping the height fixed at 48 pixels. The image is then normalized and padded
+        to fit the required input dimensions for recognition.
+
+        Args:
+            image (np.ndarray): Input image to preprocess.
+            max_wh_ratio (float): Maximum width-to-height ratio for resizing.
+
+        Returns:
+            np.ndarray: Preprocessed and padded image.
+        """
+        # fixed height of 48, dynamic width based on ratio
+        input_shape = [3, 48, 320]
+        input_h, input_w = input_shape[1], input_shape[2]
+
+        assert image.shape[2] == input_shape[0], "Unexpected number of image channels."
+
+        # convert to grayscale
+        if image.shape[2] == 3:
+            gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+        else:
+            gray = image
+
+        if self.config.cameras[camera].lpr.enhancement > 3:
+            # denoise using a configurable pixel neighborhood value
+            logger.debug(
+                f"{camera}: Denoising recognition image (level: {self.config.cameras[camera].lpr.enhancement})"
+            )
+            smoothed = cv2.bilateralFilter(
+                gray,
+                d=5 + self.config.cameras[camera].lpr.enhancement,
+                sigmaColor=10 * self.config.cameras[camera].lpr.enhancement,
+                sigmaSpace=10 * self.config.cameras[camera].lpr.enhancement,
+            )
+            sharpening_kernel = np.array([[-1, -1, -1], [-1, 9, -1], [-1, -1, -1]])
+            processed = cv2.filter2D(smoothed, -1, sharpening_kernel)
+        else:
+            processed = gray
+
+        if self.config.cameras[camera].lpr.enhancement > 0:
+            # always apply the same CLAHE for contrast enhancement when enhancement level is above 3
+            logger.debug(
+                f"{camera}: Enhancing contrast for recognition image (level: {self.config.cameras[camera].lpr.enhancement})"
+            )
+            grid_size = (
+                max(4, input_w // 40),
+                max(4, input_h // 40),
+            )
+            clahe = cv2.createCLAHE(
+                clipLimit=2 if self.config.cameras[camera].lpr.enhancement > 5 else 1.5,
+                tileGridSize=grid_size,
+            )
+            enhanced = clahe.apply(processed)
+        else:
+            enhanced = processed
+
+        # Convert back to 3-channel for model compatibility
+        image = cv2.cvtColor(enhanced, cv2.COLOR_GRAY2RGB)
+
+        # dynamically adjust input width based on max_wh_ratio
+        input_w = int(input_h * max_wh_ratio)
+
+        # check for model-specific input width
+        model_input_w = self.model_runner.recognition_model.runner.get_input_width()
+        if isinstance(model_input_w, int) and model_input_w > 0:
+            input_w = model_input_w
+
+        h, w = image.shape[:2]
+        aspect_ratio = w / h
+        resized_w = min(input_w, math.ceil(input_h * aspect_ratio))
+
+        resized_image = cv2.resize(image, (resized_w, input_h))
+        resized_image = resized_image.transpose((2, 0, 1))
+        resized_image = (resized_image.astype("float32") / 255.0 - 0.5) / 0.5
+
+        # Compute mean pixel value of the resized image (per channel)
+        mean_pixel = np.mean(resized_image, axis=(1, 2), keepdims=True)
+        padded_image = np.full(
+            (input_shape[0], input_h, input_w), mean_pixel, dtype=np.float32
+        )
+        padded_image[:, :, :resized_w] = resized_image
+
+        if False:
+            current_time = int(datetime.datetime.now().timestamp() * 1000)
+            cv2.imwrite(
+                f"debug/frames/preprocessed_recognition_{current_time}.jpg",
+                image,
+            )
+
+        return padded_image
+
+    @staticmethod
+    def _crop_license_plate(image: np.ndarray, points: np.ndarray) -> np.ndarray:
+        """
+        Crop the license plate from the image using four corner points.
+
+        This method crops the region containing the license plate by using the perspective
+        transformation based on four corner points. If the resulting image is significantly
+        taller than wide, the image is rotated to the correct orientation.
+
+        Args:
+            image (np.ndarray): Input image containing the license plate.
+            points (np.ndarray): Four corner points defining the plate's position.
+
+        Returns:
+            np.ndarray: Cropped and potentially rotated license plate image.
+        """
+        assert len(points) == 4, "shape of points must be 4*2"
+        points = points.astype(np.float32)
+        crop_width = int(
+            max(
+                np.linalg.norm(points[0] - points[1]),
+                np.linalg.norm(points[2] - points[3]),
+            )
+        )
+        crop_height = int(
+            max(
+                np.linalg.norm(points[0] - points[3]),
+                np.linalg.norm(points[1] - points[2]),
+            )
+        )
+        pts_std = np.float32(
+            [[0, 0], [crop_width, 0], [crop_width, crop_height], [0, crop_height]]
+        )
+        matrix = cv2.getPerspectiveTransform(points, pts_std)
+        image = cv2.warpPerspective(
+            image,
+            matrix,
+            (crop_width, crop_height),
+            borderMode=cv2.BORDER_REPLICATE,
+            flags=cv2.INTER_CUBIC,
+        )
+        height, width = image.shape[0:2]
+        if height * 1.0 / width >= 1.5:
+            image = cv2.rotate(image, cv2.ROTATE_90_CLOCKWISE)
+        return image
+
+    def _detect_license_plate(self, input: np.ndarray) -> tuple[int, int, int, int]:
+        """
+        Use a lightweight YOLOv9 model to detect license plates for users without Frigate+
+
+        Return the dimensions of the detected plate as [x1, y1, x2, y2].
+        """
+        try:
+            predictions = self.model_runner.yolov9_detection_model(input)
+        except Exception as e:
+            logger.warning(f"Error running YOLOv9 license plate detection model: {e}")
+            return None
+
+        confidence_threshold = self.lpr_config.detection_threshold
+
+        top_score = -1
+        top_box = None
+
+        img_h, img_w = input.shape[0], input.shape[1]
+
+        # Calculate resized dimensions and padding based on _preprocess_inputs
+        if img_w > img_h:
+            resized_h = int(((img_h / img_w) * LPR_EMBEDDING_SIZE) // 4 * 4)
+            resized_w = LPR_EMBEDDING_SIZE
+            x_offset = (LPR_EMBEDDING_SIZE - resized_w) // 2
+            y_offset = (LPR_EMBEDDING_SIZE - resized_h) // 2
+            scale_x = img_w / resized_w
+            scale_y = img_h / resized_h
+        else:
+            resized_w = int(((img_w / img_h) * LPR_EMBEDDING_SIZE) // 4 * 4)
+            resized_h = LPR_EMBEDDING_SIZE
+            x_offset = (LPR_EMBEDDING_SIZE - resized_w) // 2
+            y_offset = (LPR_EMBEDDING_SIZE - resized_h) // 2
+            scale_x = img_w / resized_w
+            scale_y = img_h / resized_h
+
+        # Loop over predictions
+        for prediction in predictions:
+            score = prediction[6]
+            if score >= confidence_threshold:
+                bbox = prediction[1:5]
+                # Adjust for padding and scale to original image
+                bbox[0] = (bbox[0] - x_offset) * scale_x
+                bbox[1] = (bbox[1] - y_offset) * scale_y
+                bbox[2] = (bbox[2] - x_offset) * scale_x
+                bbox[3] = (bbox[3] - y_offset) * scale_y
+
+                if score > top_score:
+                    top_score = score
+                    top_box = bbox
+
+                if score > top_score:
+                    top_score = score
+                    top_box = bbox
+
+        # Return the top scoring bounding box if found
+        if top_box is not None:
+            # expand box by 5% to help with OCR
+            expansion = (top_box[2:] - top_box[:2]) * 0.05
+
+            # Expand box
+            expanded_box = np.array(
+                [
+                    top_box[0] - expansion[0],  # x1
+                    top_box[1] - expansion[1],  # y1
+                    top_box[2] + expansion[0],  # x2
+                    top_box[3] + expansion[1],  # y2
+                ]
+            ).clip(0, [input.shape[1], input.shape[0]] * 2)
+
+            logger.debug(
+                f"Found license plate. Bounding box: {expanded_box.astype(int)}"
+            )
+            return tuple(expanded_box.astype(int))
+        else:
+            return None  # No detection above the threshold
+
+    def _should_keep_previous_plate(
+        self, id, top_plate, top_char_confidences, top_area, avg_confidence
+    ):
+        """Determine if the previous plate should be kept over the current one."""
+        if id not in self.detected_license_plates:
+            return False
+
+        prev_data = self.detected_license_plates[id]
+        prev_plate = prev_data["plate"]
+        prev_char_confidences = prev_data["char_confidences"]
+        prev_area = prev_data["area"]
+        prev_avg_confidence = (
+            sum(prev_char_confidences) / len(prev_char_confidences)
+            if prev_char_confidences
+            else 0
+        )
+
+        # 1. Normalize metrics
+        # Length score: Equal lengths = 0.5, penalize extra characters if low confidence
+        length_diff = len(top_plate) - len(prev_plate)
+        max_length_diff = 3
+        curr_length_score = 0.5 + (length_diff / (2 * max_length_diff))
+        curr_length_score = max(0, min(1, curr_length_score))
+        prev_length_score = 0.5 - (length_diff / (2 * max_length_diff))
+        prev_length_score = max(0, min(1, prev_length_score))
+
+        # Adjust length score based on confidence of extra characters
+        conf_threshold = 0.75  # Minimum confidence for a character to be "trusted"
+        top_plate_char_count = len(top_plate.replace(" ", ""))
+        prev_plate_char_count = len(prev_plate.replace(" ", ""))
+
+        if top_plate_char_count > prev_plate_char_count:
+            extra_confidences = top_char_confidences[prev_plate_char_count:]
+            if extra_confidences:  # Ensure the slice is not empty
+                extra_conf = min(extra_confidences)  # Lowest extra char confidence
+                if extra_conf < conf_threshold:
+                    curr_length_score *= extra_conf / conf_threshold  # Penalize if weak
+        elif prev_plate_char_count > top_plate_char_count:
+            extra_confidences = prev_char_confidences[top_plate_char_count:]
+            if extra_confidences:  # Ensure the slice is not empty
+                extra_conf = min(extra_confidences)
+                if extra_conf < conf_threshold:
+                    prev_length_score *= extra_conf / conf_threshold
+
+        # Area score: Normalize by max area
+        max_area = max(top_area, prev_area)
+        curr_area_score = top_area / max_area if max_area > 0 else 0
+        prev_area_score = prev_area / max_area if max_area > 0 else 0
+
+        # Confidence scores
+        curr_conf_score = avg_confidence
+        prev_conf_score = prev_avg_confidence
+
+        # Character confidence comparison (average over shared length)
+        min_length = min(len(top_plate), len(prev_plate))
+        if min_length > 0:
+            curr_char_conf = sum(top_char_confidences[:min_length]) / min_length
+            prev_char_conf = sum(prev_char_confidences[:min_length]) / min_length
+        else:
+            curr_char_conf = prev_char_conf = 0
+
+        # Penalize any character below threshold
+        curr_min_conf = min(top_char_confidences) if top_char_confidences else 0
+        prev_min_conf = min(prev_char_confidences) if prev_char_confidences else 0
+        curr_conf_penalty = (
+            1.0 if curr_min_conf >= conf_threshold else (curr_min_conf / conf_threshold)
+        )
+        prev_conf_penalty = (
+            1.0 if prev_min_conf >= conf_threshold else (prev_min_conf / conf_threshold)
+        )
+
+        # 2. Define weights (boost confidence importance)
+        weights = {
+            "length": 0.2,
+            "area": 0.2,
+            "avg_confidence": 0.35,
+            "char_confidence": 0.25,
+        }
+
+        # 3. Calculate weighted scores with penalty
+        curr_score = (
+            curr_length_score * weights["length"]
+            + curr_area_score * weights["area"]
+            + curr_conf_score * weights["avg_confidence"]
+            + curr_char_conf * weights["char_confidence"]
+        ) * curr_conf_penalty
+
+        prev_score = (
+            prev_length_score * weights["length"]
+            + prev_area_score * weights["area"]
+            + prev_conf_score * weights["avg_confidence"]
+            + prev_char_conf * weights["char_confidence"]
+        ) * prev_conf_penalty
+
+        # 4. Log the comparison
+        logger.debug(
+            f"Plate comparison - Current: {top_plate} (score: {curr_score:.3f}, min_conf: {curr_min_conf:.2f}) vs "
+            f"Previous: {prev_plate} (score: {prev_score:.3f}, min_conf: {prev_min_conf:.2f}) "
+            f"Metrics - Length: {len(top_plate)} vs {len(prev_plate)} (scores: {curr_length_score:.2f} vs {prev_length_score:.2f}), "
+            f"Area: {top_area} vs {prev_area}, "
+            f"Avg Conf: {avg_confidence:.2f} vs {prev_avg_confidence:.2f}, "
+            f"Char Conf: {curr_char_conf:.2f} vs {prev_char_conf:.2f}"
+        )
+
+        # 5. Return True if previous plate scores higher
+        return prev_score > curr_score
+
+    def _generate_plate_event(self, camera: str, plate: str, plate_score: float) -> str:
+        """Generate a unique ID for a plate event based on camera and text."""
+        now = datetime.datetime.now().timestamp()
+        rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
+        event_id = f"{now}-{rand_id}"
+
+        self.event_metadata_publisher.publish(
+            EventMetadataTypeEnum.lpr_event_create,
+            (
+                now,
+                camera,
+                "license_plate",
+                event_id,
+                True,
+                plate_score,
+                None,
+                plate,
+            ),
+        )
+        return event_id
+
+    def lpr_process(
+        self, obj_data: dict[str, Any], frame: np.ndarray, dedicated_lpr: bool = False
+    ):
+        """Look for license plates in image."""
+        self.metrics.alpr_pps.value = self.plates_rec_second.eps()
+        self.metrics.yolov9_lpr_pps.value = self.plates_det_second.eps()
+        camera = obj_data if dedicated_lpr else obj_data["camera"]
+        current_time = int(datetime.datetime.now().timestamp())
+
+        if not self.config.cameras[camera].lpr.enabled:
+            return
+
+        # dedicated LPR cam without frigate+
+        if dedicated_lpr:
+            id = "dedicated-lpr"
+
+            rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+
+            # apply motion mask
+            rgb[self.config.cameras[obj_data].motion.mask == 0] = [0, 0, 0]
+
+            if WRITE_DEBUG_IMAGES:
+                cv2.imwrite(
+                    f"debug/frames/dedicated_lpr_masked_{current_time}.jpg",
+                    rgb,
+                )
+
+            yolov9_start = datetime.datetime.now().timestamp()
+            license_plate = self._detect_license_plate(rgb)
+
+            logger.debug(
+                f"{camera}: YOLOv9 LPD inference time: {(datetime.datetime.now().timestamp() - yolov9_start) * 1000:.2f} ms"
+            )
+            self.plates_det_second.update()
+            self.plate_det_speed.update(
+                datetime.datetime.now().timestamp() - yolov9_start
+            )
+
+            if not license_plate:
+                logger.debug(f"{camera}: Detected no license plates in full frame.")
+                return
+
+            license_plate_area = (license_plate[2] - license_plate[0]) * (
+                license_plate[3] - license_plate[1]
+            )
+            if license_plate_area < self.config.cameras[camera].lpr.min_area:
+                logger.debug(f"{camera}: License plate area below minimum threshold.")
+                return
+
+            license_plate_frame = rgb[
+                license_plate[1] : license_plate[3],
+                license_plate[0] : license_plate[2],
+            ]
+
+            # Double the size for better OCR
+            license_plate_frame = cv2.resize(
+                license_plate_frame,
+                (
+                    int(2 * license_plate_frame.shape[1]),
+                    int(2 * license_plate_frame.shape[0]),
+                ),
+            )
+
+        else:
+            id = obj_data["id"]
+
+            # don't run for non car/motorcycle or non license plate (dedicated lpr with frigate+) objects
+            if (
+                obj_data.get("label") not in ["car", "motorcycle"]
+                and obj_data.get("label") != "license_plate"
+            ):
+                logger.debug(
+                    f"{camera}: Not a processing license plate for non car/motorcycle object."
+                )
+                return
+
+            # don't run for stationary car objects
+            if obj_data.get("stationary") == True:
+                logger.debug(
+                    f"{camera}: Not a processing license plate for a stationary car/motorcycle object."
+                )
+                return
+
+            # don't run for objects with no position changes
+            # this is the initial state after registering a new tracked object
+            # LPR will run 2 frames after detect.min_initialized is reached
+            if obj_data.get("position_changes", 0) == 0:
+                logger.debug(
+                    f"{camera}: Plate detected in {self.config.cameras[camera].detect.min_initialized + 1} concurrent frames, LPR frame threshold ({self.config.cameras[camera].detect.min_initialized + 2})"
+                )
+                return
+
+            license_plate: Optional[dict[str, Any]] = None
+
+            if "license_plate" not in self.config.cameras[camera].objects.track:
+                logger.debug(f"{camera}: Running manual license_plate detection.")
+
+                car_box = obj_data.get("box")
+
+                if not car_box:
+                    return
+
+                rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+
+                # apply motion mask
+                rgb[self.config.cameras[camera].motion.mask == 0] = [0, 0, 0]
+
+                left, top, right, bottom = car_box
+                car = rgb[top:bottom, left:right]
+
+                # double the size of the car for better box detection
+                car = cv2.resize(car, (int(2 * car.shape[1]), int(2 * car.shape[0])))
+
+                if WRITE_DEBUG_IMAGES:
+                    cv2.imwrite(
+                        f"debug/frames/car_frame_{current_time}.jpg",
+                        car,
+                    )
+
+                yolov9_start = datetime.datetime.now().timestamp()
+                license_plate = self._detect_license_plate(car)
+                logger.debug(
+                    f"{camera}: YOLOv9 LPD inference time: {(datetime.datetime.now().timestamp() - yolov9_start) * 1000:.2f} ms"
+                )
+                self.plates_det_second.update()
+                self.plate_det_speed.update(
+                    datetime.datetime.now().timestamp() - yolov9_start
+                )
+
+                if not license_plate:
+                    logger.debug(
+                        f"{camera}: Detected no license plates for car/motorcycle object."
+                    )
+                    return
+
+                license_plate_area = max(
+                    0,
+                    (license_plate[2] - license_plate[0])
+                    * (license_plate[3] - license_plate[1]),
+                )
+
+                # check that license plate is valid
+                # double the value because we've doubled the size of the car
+                if license_plate_area < self.config.cameras[camera].lpr.min_area * 2:
+                    logger.debug(f"{camera}: License plate is less than min_area")
+                    return
+
+                license_plate_frame = car[
+                    license_plate[1] : license_plate[3],
+                    license_plate[0] : license_plate[2],
+                ]
+            else:
+                # don't run for object without attributes if this isn't dedicated lpr with frigate+
+                if (
+                    not obj_data.get("current_attributes")
+                    and obj_data.get("label") != "license_plate"
+                ):
+                    logger.debug(f"{camera}: No attributes to parse.")
+                    return
+
+                if obj_data.get("label") in ["car", "motorcycle"]:
+                    attributes: list[dict[str, Any]] = obj_data.get(
+                        "current_attributes", []
+                    )
+                    for attr in attributes:
+                        if attr.get("label") != "license_plate":
+                            continue
+
+                        if license_plate is None or attr.get(
+                            "score", 0.0
+                        ) > license_plate.get("score", 0.0):
+                            license_plate = attr
+
+                    # no license plates detected in this frame
+                    if not license_plate:
+                        return
+
+                # we are using dedicated lpr with frigate+
+                if obj_data.get("label") == "license_plate":
+                    license_plate = obj_data
+
+                license_plate_box = license_plate.get("box")
+
+                # check that license plate is valid
+                if (
+                    not license_plate_box
+                    or area(license_plate_box)
+                    < self.config.cameras[camera].lpr.min_area
+                ):
+                    logger.debug(
+                        f"{camera}: Area for license plate box {area(license_plate_box)} is less than min_area {self.config.cameras[camera].lpr.min_area}"
+                    )
+                    return
+
+                license_plate_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+
+                # Expand the license_plate_box by 10%
+                box_array = np.array(license_plate_box)
+                expansion = (box_array[2:] - box_array[:2]) * 0.10
+                expanded_box = np.array(
+                    [
+                        license_plate_box[0] - expansion[0],
+                        license_plate_box[1] - expansion[1],
+                        license_plate_box[2] + expansion[0],
+                        license_plate_box[3] + expansion[1],
+                    ]
+                ).clip(
+                    0, [license_plate_frame.shape[1], license_plate_frame.shape[0]] * 2
+                )
+
+                # Crop using the expanded box
+                license_plate_frame = license_plate_frame[
+                    int(expanded_box[1]) : int(expanded_box[3]),
+                    int(expanded_box[0]) : int(expanded_box[2]),
+                ]
+
+            # double the size of the license plate frame for better OCR
+            license_plate_frame = cv2.resize(
+                license_plate_frame,
+                (
+                    int(2 * license_plate_frame.shape[1]),
+                    int(2 * license_plate_frame.shape[0]),
+                ),
+            )
+
+            if WRITE_DEBUG_IMAGES:
+                cv2.imwrite(
+                    f"debug/frames/license_plate_frame_{current_time}.jpg",
+                    license_plate_frame,
+                )
+
+        logger.debug(f"{camera}: Running plate recognition.")
+
+        # run detection, returns results sorted by confidence, best first
+        start = datetime.datetime.now().timestamp()
+        license_plates, confidences, areas = self._process_license_plate(
+            camera, id, license_plate_frame
+        )
+        self.plates_rec_second.update()
+        self.plate_rec_speed.update(datetime.datetime.now().timestamp() - start)
+
+        if license_plates:
+            for plate, confidence, text_area in zip(license_plates, confidences, areas):
+                avg_confidence = (
+                    (sum(confidence) / len(confidence)) if confidence else 0
+                )
+
+                logger.debug(
+                    f"{camera}: Detected text: {plate} (average confidence: {avg_confidence:.2f}, area: {text_area} pixels)"
+                )
+        else:
+            logger.debug("No text detected")
+            return
+
+        top_plate, top_char_confidences, top_area = (
+            license_plates[0],
+            confidences[0],
+            areas[0],
+        )
+        avg_confidence = (
+            (sum(top_char_confidences) / len(top_char_confidences))
+            if top_char_confidences
+            else 0
+        )
+
+        # Check against minimum confidence threshold
+        if avg_confidence < self.lpr_config.recognition_threshold:
+            logger.debug(
+                f"{camera}: Average character confidence {avg_confidence} is less than recognition_threshold ({self.lpr_config.recognition_threshold})"
+            )
+            return
+
+        # For dedicated LPR cameras, match or assign plate ID using Jaro-Winkler distance
+        if (
+            dedicated_lpr
+            and "license_plate" not in self.config.cameras[camera].objects.track
+        ):
+            plate_id = None
+
+            for existing_id, data in self.detected_license_plates.items():
+                if (
+                    data["camera"] == camera
+                    and data["last_seen"] is not None
+                    and current_time - data["last_seen"]
+                    <= self.config.cameras[camera].lpr.expire_time
+                ):
+                    similarity = jaro_winkler(data["plate"], top_plate)
+                    if similarity >= self.similarity_threshold:
+                        plate_id = existing_id
+                        logger.debug(
+                            f"{camera}: Matched plate {top_plate} to {data['plate']} (similarity: {similarity:.3f})"
+                        )
+                        break
+            if plate_id is None:
+                plate_id = self._generate_plate_event(
+                    obj_data, top_plate, avg_confidence
+                )
+                logger.debug(
+                    f"{camera}: New plate event for dedicated LPR camera {plate_id}: {top_plate}"
+                )
+            else:
+                logger.debug(
+                    f"{camera}: Matched existing plate event for dedicated LPR camera {plate_id}: {top_plate}"
+                )
+                self.detected_license_plates[plate_id]["last_seen"] = current_time
+
+            id = plate_id
+
+        # Check if we have a previously detected plate for this ID
+        if id in self.detected_license_plates:
+            if self._should_keep_previous_plate(
+                id, top_plate, top_char_confidences, top_area, avg_confidence
+            ):
+                logger.debug(f"{camera}: Keeping previous plate")
+                return
+
+        # Determine subLabel based on known plates, use regex matching
+        # Default to the detected plate, use label name if there's a match
+        try:
+            sub_label = next(
+                (
+                    label
+                    for label, plates in self.lpr_config.known_plates.items()
+                    if any(
+                        re.match(f"^{plate}$", top_plate)
+                        or distance(plate, top_plate) <= self.lpr_config.match_distance
+                        for plate in plates
+                    )
+                ),
+                None,
+            )
+        except re.error:
+            logger.error(
+                f"{camera}: Invalid regex in known plates configuration: {self.lpr_config.known_plates}"
+            )
+            sub_label = None
+
+        # If it's a known plate, publish to sub_label
+        if sub_label is not None:
+            self.sub_label_publisher.publish(
+                EventMetadataTypeEnum.sub_label, (id, sub_label, avg_confidence)
+            )
+
+        # always publish to recognized_license_plate field
+        self.requestor.send_data(
+            "tracked_object_update",
+            json.dumps(
+                {
+                    "type": TrackedObjectUpdateTypesEnum.lpr,
+                    "name": sub_label,
+                    "plate": top_plate,
+                    "score": avg_confidence,
+                    "id": id,
+                    "camera": camera,
+                    "timestamp": start,
+                }
+            ),
+        )
+        self.sub_label_publisher.publish(
+            EventMetadataTypeEnum.recognized_license_plate,
+            (id, top_plate, avg_confidence),
+        )
+
+        # save the best snapshot for dedicated lpr cams not using frigate+
+        if (
+            dedicated_lpr
+            and "license_plate" not in self.config.cameras[camera].objects.track
+        ):
+            logger.debug(
+                f"{camera}: Writing snapshot for {id}, {top_plate}, {current_time}"
+            )
+            frame_bgr = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+            _, encoded_img = cv2.imencode(".jpg", frame_bgr)
+            self.sub_label_publisher.publish(
+                EventMetadataTypeEnum.save_lpr_snapshot,
+                (base64.b64encode(encoded_img).decode("ASCII"), id, camera),
+            )
+
+        if id not in self.detected_license_plates:
+            if camera not in self.camera_current_cars:
+                self.camera_current_cars[camera] = []
+
+            self.camera_current_cars[camera].append(id)
+
+        self.detected_license_plates[id] = {
+            "plate": top_plate,
+            "char_confidences": top_char_confidences,
+            "area": top_area,
+            "obj_data": obj_data,
+            "camera": camera,
+            "last_seen": current_time if dedicated_lpr else None,
+        }
+
+    def handle_request(self, topic, request_data) -> dict[str, Any] | None:
+        return
+
+    def lpr_expire(self, object_id: str, camera: str):
+        if object_id in self.detected_license_plates:
+            self.detected_license_plates.pop(object_id)
+
+            if object_id in self.camera_current_cars.get(camera, []):
+                self.camera_current_cars[camera].remove(object_id)
+
+
+class CTCDecoder:
+    """
+    A decoder for interpreting the output of a CTC (Connectionist Temporal Classification) model.
+
+    This decoder converts the model's output probabilities into readable sequences of characters
+    while removing duplicates and handling blank tokens. It also calculates the confidence scores
+    for each decoded character sequence.
+    """
+
+    def __init__(self):
+        """
+        Initialize the CTCDecoder with a list of characters and a character map.
+
+        The character set includes digits, letters, special characters, and a "blank" token
+        (used by the CTC model for decoding purposes). A character map is created to map
+        indices to characters.
+        """
+        self.characters = [
+            "blank",
+            "0",
+            "1",
+            "2",
+            "3",
+            "4",
+            "5",
+            "6",
+            "7",
+            "8",
+            "9",
+            ":",
+            ";",
+            "<",
+            "=",
+            ">",
+            "?",
+            "@",
+            "A",
+            "B",
+            "C",
+            "D",
+            "E",
+            "F",
+            "G",
+            "H",
+            "I",
+            "J",
+            "K",
+            "L",
+            "M",
+            "N",
+            "O",
+            "P",
+            "Q",
+            "R",
+            "S",
+            "T",
+            "U",
+            "V",
+            "W",
+            "X",
+            "Y",
+            "Z",
+            "[",
+            "\\",
+            "]",
+            "^",
+            "_",
+            "`",
+            "a",
+            "b",
+            "c",
+            "d",
+            "e",
+            "f",
+            "g",
+            "h",
+            "i",
+            "j",
+            "k",
+            "l",
+            "m",
+            "n",
+            "o",
+            "p",
+            "q",
+            "r",
+            "s",
+            "t",
+            "u",
+            "v",
+            "w",
+            "x",
+            "y",
+            "z",
+            "{",
+            "|",
+            "}",
+            "~",
+            "!",
+            '"',
+            "#",
+            "$",
+            "%",
+            "&",
+            "'",
+            "(",
+            ")",
+            "*",
+            "+",
+            ",",
+            "-",
+            ".",
+            "/",
+            " ",
+            " ",
+        ]
+        self.char_map = {i: char for i, char in enumerate(self.characters)}
+
+    def __call__(
+        self, outputs: List[np.ndarray]
+    ) -> Tuple[List[str], List[List[float]]]:
+        """
+        Decode a batch of model outputs into character sequences and their confidence scores.
+
+        The method takes the output probability distributions for each time step and uses
+        the best path decoding strategy. It then merges repeating characters and ignores
+        blank tokens. Confidence scores for each decoded character are also calculated.
+
+        Args:
+            outputs (List[np.ndarray]): A list of model outputs, where each element is
+                                        a probability distribution for each time step.
+
+        Returns:
+            Tuple[List[str], List[List[float]]]: A tuple of decoded character sequences
+                                                and confidence scores for each sequence.
+        """
+        results = []
+        confidences = []
+        for output in outputs:
+            seq_log_probs = np.log(output + 1e-8)
+            best_path = np.argmax(seq_log_probs, axis=1)
+
+            merged_path = []
+            merged_probs = []
+            for t, char_index in enumerate(best_path):
+                if char_index != 0 and (t == 0 or char_index != best_path[t - 1]):
+                    merged_path.append(char_index)
+                    merged_probs.append(seq_log_probs[t, char_index])
+
+            result = "".join(self.char_map[idx] for idx in merged_path)
+            results.append(result)
+
+            confidence = np.exp(merged_probs).tolist()
+            confidences.append(confidence)
+
+        return results, confidences
diff --git a/frigate/data_processing/common/license_plate/model.py b/frigate/data_processing/common/license_plate/model.py
new file mode 100644
index 000000000..f53ed7d95
--- /dev/null
+++ b/frigate/data_processing/common/license_plate/model.py
@@ -0,0 +1,31 @@
+from frigate.embeddings.onnx.lpr_embedding import (
+    LicensePlateDetector,
+    PaddleOCRClassification,
+    PaddleOCRDetection,
+    PaddleOCRRecognition,
+)
+
+from ...types import DataProcessorModelRunner
+
+
+class LicensePlateModelRunner(DataProcessorModelRunner):
+    def __init__(self, requestor, device: str = "CPU", model_size: str = "small"):
+        super().__init__(requestor, device, model_size)
+        self.detection_model = PaddleOCRDetection(
+            model_size=model_size, requestor=requestor, device=device
+        )
+        self.classification_model = PaddleOCRClassification(
+            model_size=model_size, requestor=requestor, device=device
+        )
+        self.recognition_model = PaddleOCRRecognition(
+            model_size=model_size, requestor=requestor, device=device
+        )
+        self.yolov9_detection_model = LicensePlateDetector(
+            model_size=model_size, requestor=requestor, device=device
+        )
+
+        # Load all models once
+        self.detection_model._load_model_and_utils()
+        self.classification_model._load_model_and_utils()
+        self.recognition_model._load_model_and_utils()
+        self.yolov9_detection_model._load_model_and_utils()
diff --git a/frigate/data_processing/post/api.py b/frigate/data_processing/post/api.py
new file mode 100644
index 000000000..cd6dda128
--- /dev/null
+++ b/frigate/data_processing/post/api.py
@@ -0,0 +1,50 @@
+"""Local or remote processors to handle post processing."""
+
+import logging
+from abc import ABC, abstractmethod
+from typing import Any
+
+from frigate.config import FrigateConfig
+
+from ..types import DataProcessorMetrics, DataProcessorModelRunner, PostProcessDataEnum
+
+logger = logging.getLogger(__name__)
+
+
+class PostProcessorApi(ABC):
+    @abstractmethod
+    def __init__(
+        self,
+        config: FrigateConfig,
+        metrics: DataProcessorMetrics,
+        model_runner: DataProcessorModelRunner,
+    ) -> None:
+        self.config = config
+        self.metrics = metrics
+        self.model_runner = model_runner
+        pass
+
+    @abstractmethod
+    def process_data(
+        self, data: dict[str, Any], data_type: PostProcessDataEnum
+    ) -> None:
+        """Processes the data of data type.
+        Args:
+            data (dict): containing data about the input.
+            data_type (enum): Describing the data that is being processed.
+
+        Returns:
+            None.
+        """
+        pass
+
+    @abstractmethod
+    def handle_request(self, request_data: dict[str, Any]) -> dict[str, Any] | None:
+        """Handle metadata requests.
+        Args:
+            request_data (dict): containing data about requested change to process.
+
+        Returns:
+            None if request was not handled, otherwise return response.
+        """
+        pass
diff --git a/frigate/data_processing/post/license_plate.py b/frigate/data_processing/post/license_plate.py
new file mode 100644
index 000000000..e95cf234e
--- /dev/null
+++ b/frigate/data_processing/post/license_plate.py
@@ -0,0 +1,234 @@
+"""Handle post processing for license plate recognition."""
+
+import datetime
+import logging
+from typing import Any
+
+import cv2
+import numpy as np
+from peewee import DoesNotExist
+
+from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
+from frigate.comms.event_metadata_updater import EventMetadataPublisher
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.config import FrigateConfig
+from frigate.data_processing.common.license_plate.mixin import (
+    WRITE_DEBUG_IMAGES,
+    LicensePlateProcessingMixin,
+)
+from frigate.data_processing.common.license_plate.model import (
+    LicensePlateModelRunner,
+)
+from frigate.data_processing.types import PostProcessDataEnum
+from frigate.models import Recordings
+from frigate.util.image import get_image_from_recording
+
+from ..types import DataProcessorMetrics
+from .api import PostProcessorApi
+
+logger = logging.getLogger(__name__)
+
+
+class LicensePlatePostProcessor(LicensePlateProcessingMixin, PostProcessorApi):
+    def __init__(
+        self,
+        config: FrigateConfig,
+        requestor: InterProcessRequestor,
+        sub_label_publisher: EventMetadataPublisher,
+        metrics: DataProcessorMetrics,
+        model_runner: LicensePlateModelRunner,
+        detected_license_plates: dict[str, dict[str, Any]],
+    ):
+        self.requestor = requestor
+        self.detected_license_plates = detected_license_plates
+        self.model_runner = model_runner
+        self.lpr_config = config.lpr
+        self.config = config
+        self.sub_label_publisher = sub_label_publisher
+        super().__init__(config, metrics, model_runner)
+
+    def process_data(
+        self, data: dict[str, Any], data_type: PostProcessDataEnum
+    ) -> None:
+        """Look for license plates in recording stream image
+        Args:
+            data (dict): containing data about the input.
+            data_type (enum): Describing the data that is being processed.
+
+        Returns:
+            None.
+        """
+        # don't run LPR post processing for now
+        return
+
+        event_id = data["event_id"]
+        camera_name = data["camera"]
+
+        if data_type == PostProcessDataEnum.recording:
+            obj_data = data["obj_data"]
+            frame_time = obj_data["frame_time"]
+            recordings_available_through = data["recordings_available"]
+
+            if frame_time > recordings_available_through:
+                logger.debug(
+                    f"LPR post processing: No recordings available for this frame time {frame_time}, available through {recordings_available_through}"
+                )
+
+        elif data_type == PostProcessDataEnum.tracked_object:
+            # non-functional, need to think about snapshot time
+            obj_data = data["event"]["data"]
+            obj_data["id"] = data["event"]["id"]
+            obj_data["camera"] = data["event"]["camera"]
+            # TODO: snapshot time?
+            frame_time = data["event"]["start_time"]
+
+        else:
+            logger.error("No data type passed to LPR postprocessing")
+            return
+
+        recording_query = (
+            Recordings.select(
+                Recordings.path,
+                Recordings.start_time,
+            )
+            .where(
+                (
+                    (frame_time >= Recordings.start_time)
+                    & (frame_time <= Recordings.end_time)
+                )
+            )
+            .where(Recordings.camera == camera_name)
+            .order_by(Recordings.start_time.desc())
+            .limit(1)
+        )
+
+        try:
+            recording: Recordings = recording_query.get()
+            time_in_segment = frame_time - recording.start_time
+            codec = "mjpeg"
+
+            image_data = get_image_from_recording(
+                self.config.ffmpeg, recording.path, time_in_segment, codec, None
+            )
+
+            if not image_data:
+                logger.debug(
+                    "LPR post processing: Unable to fetch license plate from recording"
+                )
+
+            # Convert bytes to numpy array
+            image_array = np.frombuffer(image_data, dtype=np.uint8)
+
+            if len(image_array) == 0:
+                logger.debug("LPR post processing: No image")
+                return
+
+            image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+
+        except DoesNotExist:
+            logger.debug("Error fetching license plate for postprocessing")
+            return
+
+        if WRITE_DEBUG_IMAGES:
+            cv2.imwrite(
+                f"debug/frames/lpr_post_{datetime.datetime.now().timestamp()}.jpg",
+                image,
+            )
+
+        # convert to yuv for processing
+        frame = cv2.cvtColor(image, cv2.COLOR_BGR2YUV_I420)
+
+        detect_width = self.config.cameras[camera_name].detect.width
+        detect_height = self.config.cameras[camera_name].detect.height
+
+        # Scale the boxes based on detect dimensions
+        scale_x = image.shape[1] / detect_width
+        scale_y = image.shape[0] / detect_height
+
+        # Determine which box to enlarge based on detection mode
+        if "license_plate" not in self.config.cameras[camera_name].objects.track:
+            # Scale and enlarge the car box
+            box = obj_data.get("box")
+            if not box:
+                return
+
+            # Scale original car box to detection dimensions
+            left = int(box[0] * scale_x)
+            top = int(box[1] * scale_y)
+            right = int(box[2] * scale_x)
+            bottom = int(box[3] * scale_y)
+            box = [left, top, right, bottom]
+        else:
+            # Get the license plate box from attributes
+            if not obj_data.get("current_attributes"):
+                return
+
+            license_plate = None
+            for attr in obj_data["current_attributes"]:
+                if attr.get("label") != "license_plate":
+                    continue
+                if license_plate is None or attr.get("score", 0.0) > license_plate.get(
+                    "score", 0.0
+                ):
+                    license_plate = attr
+
+            if not license_plate or not license_plate.get("box"):
+                return
+
+            # Scale license plate box to detection dimensions
+            orig_box = license_plate["box"]
+            left = int(orig_box[0] * scale_x)
+            top = int(orig_box[1] * scale_y)
+            right = int(orig_box[2] * scale_x)
+            bottom = int(orig_box[3] * scale_y)
+            box = [left, top, right, bottom]
+
+        width_box = right - left
+        height_box = bottom - top
+
+        # Enlarge box slightly to account for drift in detect vs recording stream
+        enlarge_factor = 0.3
+        new_left = max(0, int(left - (width_box * enlarge_factor / 2)))
+        new_top = max(0, int(top - (height_box * enlarge_factor / 2)))
+        new_right = min(image.shape[1], int(right + (width_box * enlarge_factor / 2)))
+        new_bottom = min(
+            image.shape[0], int(bottom + (height_box * enlarge_factor / 2))
+        )
+
+        keyframe_obj_data = obj_data.copy()
+        if "license_plate" not in self.config.cameras[camera_name].objects.track:
+            # car box
+            keyframe_obj_data["box"] = [new_left, new_top, new_right, new_bottom]
+        else:
+            # Update the license plate box in the attributes
+            new_attributes = []
+            for attr in obj_data["current_attributes"]:
+                if attr.get("label") == "license_plate":
+                    new_attr = attr.copy()
+                    new_attr["box"] = [new_left, new_top, new_right, new_bottom]
+                    new_attributes.append(new_attr)
+                else:
+                    new_attributes.append(attr)
+            keyframe_obj_data["current_attributes"] = new_attributes
+
+        # run the frame through lpr processing
+        logger.debug(f"Post processing plate: {event_id}, {frame_time}")
+        self.lpr_process(keyframe_obj_data, frame)
+
+    def handle_request(self, topic, request_data) -> dict[str, Any] | None:
+        if topic == EmbeddingsRequestEnum.reprocess_plate.value:
+            event = request_data["event"]
+
+            self.process_data(
+                {
+                    "event_id": event["id"],
+                    "camera": event["camera"],
+                    "event": event,
+                },
+                PostProcessDataEnum.tracked_object,
+            )
+
+            return {
+                "message": "Successfully requested reprocessing of license plate.",
+                "success": True,
+            }
diff --git a/frigate/data_processing/real_time/api.py b/frigate/data_processing/real_time/api.py
new file mode 100644
index 000000000..0fa0f9952
--- /dev/null
+++ b/frigate/data_processing/real_time/api.py
@@ -0,0 +1,63 @@
+"""Local only processors for handling real time object processing."""
+
+import logging
+from abc import ABC, abstractmethod
+from typing import Any
+
+import numpy as np
+
+from frigate.config import FrigateConfig
+
+from ..types import DataProcessorMetrics
+
+logger = logging.getLogger(__name__)
+
+
+class RealTimeProcessorApi(ABC):
+    @abstractmethod
+    def __init__(
+        self,
+        config: FrigateConfig,
+        metrics: DataProcessorMetrics,
+    ) -> None:
+        self.config = config
+        self.metrics = metrics
+        pass
+
+    @abstractmethod
+    def process_frame(self, obj_data: dict[str, Any], frame: np.ndarray) -> None:
+        """Processes the frame with object data.
+        Args:
+            obj_data (dict): containing data about focused object in frame.
+            frame (ndarray): full yuv frame.
+
+        Returns:
+            None.
+        """
+        pass
+
+    @abstractmethod
+    def handle_request(
+        self, topic: str, request_data: dict[str, Any]
+    ) -> dict[str, Any] | None:
+        """Handle metadata requests.
+        Args:
+            topic (str): topic that dictates what work is requested.
+            request_data (dict): containing data about requested change to process.
+
+        Returns:
+            None if request was not handled, otherwise return response.
+        """
+        pass
+
+    @abstractmethod
+    def expire_object(self, object_id: str, camera: str) -> None:
+        """Handle objects that are no longer detected.
+        Args:
+            object_id (str): id of object that is no longer detected.
+            camera (str): name of camera that object was detected on.
+
+        Returns:
+            None.
+        """
+        pass
diff --git a/frigate/data_processing/real_time/bird.py b/frigate/data_processing/real_time/bird.py
new file mode 100644
index 000000000..8d2c598fc
--- /dev/null
+++ b/frigate/data_processing/real_time/bird.py
@@ -0,0 +1,167 @@
+"""Handle processing images to classify birds."""
+
+import logging
+import os
+from typing import Any
+
+import cv2
+import numpy as np
+
+from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
+    EventMetadataTypeEnum,
+)
+from frigate.config import FrigateConfig
+from frigate.const import MODEL_CACHE_DIR
+from frigate.util.object import calculate_region
+
+from ..types import DataProcessorMetrics
+from .api import RealTimeProcessorApi
+
+try:
+    from tflite_runtime.interpreter import Interpreter
+except ModuleNotFoundError:
+    from tensorflow.lite.python.interpreter import Interpreter
+
+logger = logging.getLogger(__name__)
+
+
+class BirdRealTimeProcessor(RealTimeProcessorApi):
+    def __init__(
+        self,
+        config: FrigateConfig,
+        sub_label_publisher: EventMetadataPublisher,
+        metrics: DataProcessorMetrics,
+    ):
+        super().__init__(config, metrics)
+        self.interpreter: Interpreter = None
+        self.sub_label_publisher = sub_label_publisher
+        self.tensor_input_details: dict[str, Any] = None
+        self.tensor_output_details: dict[str, Any] = None
+        self.detected_birds: dict[str, float] = {}
+        self.labelmap: dict[int, str] = {}
+
+        download_path = os.path.join(MODEL_CACHE_DIR, "bird")
+        self.model_files = {
+            "bird.tflite": "https://raw.githubusercontent.com/google-coral/test_data/master/mobilenet_v2_1.0_224_inat_bird_quant.tflite",
+            "birdmap.txt": "https://raw.githubusercontent.com/google-coral/test_data/master/inat_bird_labels.txt",
+        }
+
+        if not all(
+            os.path.exists(os.path.join(download_path, n))
+            for n in self.model_files.keys()
+        ):
+            # conditionally import ModelDownloader
+            from frigate.util.downloader import ModelDownloader
+
+            self.downloader = ModelDownloader(
+                model_name="bird",
+                download_path=download_path,
+                file_names=self.model_files.keys(),
+                download_func=self.__download_models,
+                complete_func=self.__build_detector,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.__build_detector()
+
+    def __download_models(self, path: str) -> None:
+        try:
+            file_name = os.path.basename(path)
+
+            # conditionally import ModelDownloader
+            from frigate.util.downloader import ModelDownloader
+
+            ModelDownloader.download_from_url(self.model_files[file_name], path)
+        except Exception as e:
+            logger.error(f"Failed to download {path}: {e}")
+
+    def __build_detector(self) -> None:
+        self.interpreter = Interpreter(
+            model_path=os.path.join(MODEL_CACHE_DIR, "bird/bird.tflite"),
+            num_threads=2,
+        )
+        self.interpreter.allocate_tensors()
+        self.tensor_input_details = self.interpreter.get_input_details()
+        self.tensor_output_details = self.interpreter.get_output_details()
+
+        i = 0
+
+        with open(os.path.join(MODEL_CACHE_DIR, "bird/birdmap.txt")) as f:
+            line = f.readline()
+            while line:
+                start = line.find("(")
+                end = line.find(")")
+                self.labelmap[i] = line[start + 1 : end]
+                i += 1
+                line = f.readline()
+
+    def process_frame(self, obj_data, frame):
+        if not self.interpreter:
+            return
+
+        if obj_data["label"] != "bird":
+            return
+
+        x, y, x2, y2 = calculate_region(
+            frame.shape,
+            obj_data["box"][0],
+            obj_data["box"][1],
+            obj_data["box"][2],
+            obj_data["box"][3],
+            int(
+                max(
+                    obj_data["box"][1] - obj_data["box"][0],
+                    obj_data["box"][3] - obj_data["box"][2],
+                )
+                * 1.1
+            ),
+            1.0,
+        )
+
+        rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
+        input = rgb[
+            y:y2,
+            x:x2,
+        ]
+
+        if input.shape != (224, 224):
+            input = cv2.resize(input, (224, 224))
+
+        input = np.expand_dims(input, axis=0)
+        self.interpreter.set_tensor(self.tensor_input_details[0]["index"], input)
+        self.interpreter.invoke()
+        res: np.ndarray = self.interpreter.get_tensor(
+            self.tensor_output_details[0]["index"]
+        )[0]
+        probs = res / res.sum(axis=0)
+        best_id = np.argmax(probs)
+
+        if best_id == 964:
+            logger.debug("No bird classification was detected.")
+            return
+
+        score = round(probs[best_id], 2)
+
+        if score < self.config.classification.bird.threshold:
+            logger.debug(f"Score {score} is not above required threshold")
+            return
+
+        previous_score = self.detected_birds.get(obj_data["id"], 0.0)
+
+        if score <= previous_score:
+            logger.debug(f"Score {score} is worse than previous score {previous_score}")
+            return
+
+        self.sub_label_publisher.publish(
+            EventMetadataTypeEnum.sub_label,
+            (obj_data["id"], self.labelmap[best_id], score),
+        )
+        self.detected_birds[obj_data["id"]] = score
+
+    def handle_request(self, topic, request_data):
+        return None
+
+    def expire_object(self, object_id, camera):
+        if object_id in self.detected_birds:
+            self.detected_birds.pop(object_id)
diff --git a/frigate/data_processing/real_time/face.py b/frigate/data_processing/real_time/face.py
new file mode 100644
index 000000000..144ec42d4
--- /dev/null
+++ b/frigate/data_processing/real_time/face.py
@@ -0,0 +1,531 @@
+"""Handle processing images for face detection and recognition."""
+
+import base64
+import datetime
+import json
+import logging
+import os
+import shutil
+from pathlib import Path
+from typing import Any, Optional
+
+import cv2
+import numpy as np
+
+from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
+from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
+    EventMetadataTypeEnum,
+)
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.config import FrigateConfig
+from frigate.const import FACE_DIR, MODEL_CACHE_DIR
+from frigate.data_processing.common.face.model import (
+    ArcFaceRecognizer,
+    FaceNetRecognizer,
+    FaceRecognizer,
+)
+from frigate.types import TrackedObjectUpdateTypesEnum
+from frigate.util.builtin import EventsPerSecond, InferenceSpeed
+from frigate.util.image import area
+
+from ..types import DataProcessorMetrics
+from .api import RealTimeProcessorApi
+
+logger = logging.getLogger(__name__)
+
+
+MAX_DETECTION_HEIGHT = 1080
+MAX_FACES_ATTEMPTS_AFTER_REC = 6
+MAX_FACE_ATTEMPTS = 12
+
+
+class FaceRealTimeProcessor(RealTimeProcessorApi):
+    def __init__(
+        self,
+        config: FrigateConfig,
+        requestor: InterProcessRequestor,
+        sub_label_publisher: EventMetadataPublisher,
+        metrics: DataProcessorMetrics,
+    ):
+        super().__init__(config, metrics)
+        self.face_config = config.face_recognition
+        self.requestor = requestor
+        self.sub_label_publisher = sub_label_publisher
+        self.face_detector: cv2.FaceDetectorYN = None
+        self.requires_face_detection = "face" not in self.config.objects.all_objects
+        self.person_face_history: dict[str, list[tuple[str, float, int]]] = {}
+        self.camera_current_people: dict[str, list[str]] = {}
+        self.recognizer: FaceRecognizer | None = None
+        self.faces_per_second = EventsPerSecond()
+        self.inference_speed = InferenceSpeed(self.metrics.face_rec_speed)
+
+        download_path = os.path.join(MODEL_CACHE_DIR, "facedet")
+        self.model_files = {
+            "facedet.onnx": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/facedet.onnx",
+            "landmarkdet.yaml": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/landmarkdet.yaml",
+        }
+
+        if not all(
+            os.path.exists(os.path.join(download_path, n))
+            for n in self.model_files.keys()
+        ):
+            # conditionally import ModelDownloader
+            from frigate.util.downloader import ModelDownloader
+
+            self.downloader = ModelDownloader(
+                model_name="facedet",
+                download_path=download_path,
+                file_names=self.model_files.keys(),
+                download_func=self.__download_models,
+                complete_func=self.__build_detector,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.__build_detector()
+
+        self.label_map: dict[int, str] = {}
+
+        if self.face_config.model_size == "small":
+            self.recognizer = FaceNetRecognizer(self.config)
+        else:
+            self.recognizer = ArcFaceRecognizer(self.config)
+
+        self.recognizer.build()
+
+    def __download_models(self, path: str) -> None:
+        try:
+            file_name = os.path.basename(path)
+            # conditionally import ModelDownloader
+            from frigate.util.downloader import ModelDownloader
+
+            ModelDownloader.download_from_url(self.model_files[file_name], path)
+        except Exception as e:
+            logger.error(f"Failed to download {path}: {e}")
+
+    def __build_detector(self) -> None:
+        self.face_detector = cv2.FaceDetectorYN.create(
+            os.path.join(MODEL_CACHE_DIR, "facedet/facedet.onnx"),
+            config="",
+            input_size=(320, 320),
+            score_threshold=0.5,
+            nms_threshold=0.3,
+        )
+        self.faces_per_second.start()
+
+    def __detect_face(
+        self, input: np.ndarray, threshold: float
+    ) -> tuple[int, int, int, int]:
+        """Detect faces in input image."""
+        if not self.face_detector:
+            return None
+
+        # YN face detector fails at extreme definitions
+        # this rescales to a size that can properly detect faces
+        # still retaining plenty of detail
+        if input.shape[0] > MAX_DETECTION_HEIGHT:
+            scale_factor = MAX_DETECTION_HEIGHT / input.shape[0]
+            new_width = int(scale_factor * input.shape[1])
+            input = cv2.resize(input, (new_width, MAX_DETECTION_HEIGHT))
+        else:
+            scale_factor = 1
+
+        self.face_detector.setInputSize((input.shape[1], input.shape[0]))
+        faces = self.face_detector.detect(input)
+
+        if faces is None or faces[1] is None:
+            return None
+
+        face = None
+
+        for _, potential_face in enumerate(faces[1]):
+            if potential_face[-1] < threshold:
+                continue
+
+            raw_bbox = potential_face[0:4].astype(np.uint16)
+            x: int = int(max(raw_bbox[0], 0) / scale_factor)
+            y: int = int(max(raw_bbox[1], 0) / scale_factor)
+            w: int = int(raw_bbox[2] / scale_factor)
+            h: int = int(raw_bbox[3] / scale_factor)
+            bbox = (x, y, x + w, y + h)
+
+            if face is None or area(bbox) > area(face):
+                face = bbox
+
+        return face
+
+    def __update_metrics(self, duration: float) -> None:
+        self.faces_per_second.update()
+        self.inference_speed.update(duration)
+
+    def process_frame(self, obj_data: dict[str, Any], frame: np.ndarray):
+        """Look for faces in image."""
+        self.metrics.face_rec_fps.value = self.faces_per_second.eps()
+        camera = obj_data["camera"]
+
+        if not self.config.cameras[camera].face_recognition.enabled:
+            return
+
+        start = datetime.datetime.now().timestamp()
+        id = obj_data["id"]
+
+        # don't run for non person objects
+        if obj_data.get("label") != "person":
+            logger.debug("Not a processing face for non person object.")
+            return
+
+        # don't overwrite sub label for objects that have a sub label
+        # that is not a face
+        if obj_data.get("sub_label") and id not in self.person_face_history:
+            logger.debug(
+                f"Not processing face due to existing sub label: {obj_data.get('sub_label')}."
+            )
+            return
+
+        # check if we have hit limits
+        if (
+            id in self.person_face_history
+            and len(self.person_face_history[id]) >= MAX_FACES_ATTEMPTS_AFTER_REC
+        ):
+            # if we are at max attempts after rec and we have a rec
+            if obj_data.get("sub_label"):
+                logger.debug(
+                    "Not processing due to hitting max attempts after true recognition."
+                )
+                return
+
+            # if we don't have a rec and are at max attempts
+            if len(self.person_face_history[id]) >= MAX_FACE_ATTEMPTS:
+                logger.debug("Not processing due to hitting max rec attempts.")
+                return
+
+        face: Optional[dict[str, Any]] = None
+
+        if self.requires_face_detection:
+            logger.debug("Running manual face detection.")
+            person_box = obj_data.get("box")
+
+            if not person_box:
+                return
+
+            rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
+            left, top, right, bottom = person_box
+            person = rgb[top:bottom, left:right]
+            face_box = self.__detect_face(person, self.face_config.detection_threshold)
+
+            if not face_box:
+                logger.debug("Detected no faces for person object.")
+                return
+
+            face_frame = person[
+                max(0, face_box[1]) : min(frame.shape[0], face_box[3]),
+                max(0, face_box[0]) : min(frame.shape[1], face_box[2]),
+            ]
+
+            # check that face is correct size
+            if area(face_box) < self.config.cameras[camera].face_recognition.min_area:
+                logger.debug(
+                    f"Detected face that is smaller than the min_area {face} < {self.config.cameras[camera].face_recognition.min_area}"
+                )
+                return
+
+            try:
+                face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
+            except Exception:
+                return
+        else:
+            # don't run for object without attributes
+            if not obj_data.get("current_attributes"):
+                logger.debug("No attributes to parse.")
+                return
+
+            attributes: list[dict[str, Any]] = obj_data.get("current_attributes", [])
+            for attr in attributes:
+                if attr.get("label") != "face":
+                    continue
+
+                if face is None or attr.get("score", 0.0) > face.get("score", 0.0):
+                    face = attr
+
+            # no faces detected in this frame
+            if not face:
+                return
+
+            face_box = face.get("box")
+
+            # check that face is valid
+            if (
+                not face_box
+                or area(face_box)
+                < self.config.cameras[camera].face_recognition.min_area
+            ):
+                logger.debug(f"Invalid face box {face}")
+                return
+
+            face_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+
+            face_frame = face_frame[
+                max(0, face_box[1]) : min(frame.shape[0], face_box[3]),
+                max(0, face_box[0]) : min(frame.shape[1], face_box[2]),
+            ]
+
+        res = self.recognizer.classify(face_frame)
+
+        if not res:
+            self.__update_metrics(datetime.datetime.now().timestamp() - start)
+            return
+
+        sub_label, score = res
+
+        if score <= self.face_config.unknown_score:
+            sub_label = "unknown"
+
+        logger.debug(
+            f"Detected best face for person as: {sub_label} with probability {score}"
+        )
+
+        self.write_face_attempt(
+            face_frame, id, datetime.datetime.now().timestamp(), sub_label, score
+        )
+
+        if id not in self.person_face_history:
+            self.person_face_history[id] = []
+
+            if camera not in self.camera_current_people:
+                self.camera_current_people[camera] = []
+
+            self.camera_current_people[camera].append(id)
+
+        self.person_face_history[id].append(
+            (sub_label, score, face_frame.shape[0] * face_frame.shape[1])
+        )
+        (weighted_sub_label, weighted_score) = self.weighted_average(
+            self.person_face_history[id]
+        )
+
+        self.requestor.send_data(
+            "tracked_object_update",
+            json.dumps(
+                {
+                    "type": TrackedObjectUpdateTypesEnum.face,
+                    "name": weighted_sub_label,
+                    "score": weighted_score,
+                    "id": id,
+                    "camera": camera,
+                    "timestamp": start,
+                }
+            ),
+        )
+
+        if weighted_score >= self.face_config.recognition_threshold:
+            self.sub_label_publisher.publish(
+                EventMetadataTypeEnum.sub_label,
+                (id, weighted_sub_label, weighted_score),
+            )
+
+        self.__update_metrics(datetime.datetime.now().timestamp() - start)
+
+    def handle_request(self, topic, request_data) -> dict[str, Any] | None:
+        if topic == EmbeddingsRequestEnum.clear_face_classifier.value:
+            self.recognizer.clear()
+        elif topic == EmbeddingsRequestEnum.recognize_face.value:
+            img = cv2.imdecode(
+                np.frombuffer(base64.b64decode(request_data["image"]), dtype=np.uint8),
+                cv2.IMREAD_COLOR,
+            )
+
+            # detect faces with lower confidence since we expect the face
+            # to be visible in uploaded images
+            face_box = self.__detect_face(img, 0.5)
+
+            if not face_box:
+                return {"message": "No face was detected.", "success": False}
+
+            face = img[face_box[1] : face_box[3], face_box[0] : face_box[2]]
+            res = self.recognizer.classify(face)
+
+            if not res:
+                return {"success": False, "message": "No face was recognized."}
+
+            sub_label, score = res
+
+            if score <= self.face_config.unknown_score:
+                sub_label = "unknown"
+
+            return {"success": True, "score": score, "face_name": sub_label}
+        elif topic == EmbeddingsRequestEnum.register_face.value:
+            label = request_data["face_name"]
+
+            if request_data.get("cropped"):
+                thumbnail = request_data["image"]
+            else:
+                img = cv2.imdecode(
+                    np.frombuffer(
+                        base64.b64decode(request_data["image"]), dtype=np.uint8
+                    ),
+                    cv2.IMREAD_COLOR,
+                )
+
+                # detect faces with lower confidence since we expect the face
+                # to be visible in uploaded images
+                face_box = self.__detect_face(img, 0.5)
+
+                if not face_box:
+                    return {
+                        "message": "No face was detected.",
+                        "success": False,
+                    }
+
+                face = img[face_box[1] : face_box[3], face_box[0] : face_box[2]]
+                _, thumbnail = cv2.imencode(
+                    ".webp", face, [int(cv2.IMWRITE_WEBP_QUALITY), 100]
+                )
+
+            # write face to library
+            folder = os.path.join(FACE_DIR, label)
+            file = os.path.join(
+                folder, f"{label}_{datetime.datetime.now().timestamp()}.webp"
+            )
+            os.makedirs(folder, exist_ok=True)
+
+            # save face image
+            with open(file, "wb") as output:
+                output.write(thumbnail.tobytes())
+
+            self.recognizer.clear()
+            return {
+                "message": "Successfully registered face.",
+                "success": True,
+            }
+        elif topic == EmbeddingsRequestEnum.reprocess_face.value:
+            current_file: str = request_data["image_file"]
+            (id_time, id_rand, timestamp, _, _) = current_file.split("-")
+            img = None
+            id = f"{id_time}-{id_rand}"
+
+            if current_file:
+                img = cv2.imread(current_file)
+
+            if img is None:
+                return {
+                    "message": "Invalid image file.",
+                    "success": False,
+                }
+
+            res = self.recognizer.classify(img)
+
+            if not res:
+                return
+
+            sub_label, score = res
+
+            if score <= self.face_config.unknown_score:
+                sub_label = "unknown"
+
+            if "-" in sub_label:
+                sub_label = sub_label.replace("-", "_")
+
+            if self.config.face_recognition.save_attempts:
+                # write face to library
+                folder = os.path.join(FACE_DIR, "train")
+                os.makedirs(folder, exist_ok=True)
+                new_file = os.path.join(
+                    folder, f"{id}-{timestamp}-{sub_label}-{score}.webp"
+                )
+                shutil.move(current_file, new_file)
+
+    def expire_object(self, object_id: str, camera: str):
+        if object_id in self.person_face_history:
+            self.person_face_history.pop(object_id)
+
+            if object_id in self.camera_current_people.get(camera, []):
+                self.camera_current_people[camera].remove(object_id)
+
+    def weighted_average(
+        self, results_list: list[tuple[str, float, int]], max_weight: int = 4000
+    ):
+        """
+        Calculates a robust weighted average, capping the area weight and giving more weight to higher scores.
+
+        Args:
+            results_list: A list of tuples, where each tuple contains (name, score, face_area).
+            max_weight: The maximum weight to apply based on face area.
+
+        Returns:
+            A tuple containing the prominent name and its weighted average score, or (None, 0.0) if the list is empty.
+        """
+        if not results_list:
+            return None, 0.0
+
+        counts: dict[str, int] = {}
+        weighted_scores: dict[str, int] = {}
+        total_weights: dict[str, int] = {}
+
+        for name, score, face_area in results_list:
+            if name == "unknown":
+                continue
+
+            if name not in weighted_scores:
+                counts[name] = 0
+                weighted_scores[name] = 0.0
+                total_weights[name] = 0.0
+
+            # increase count
+            counts[name] += 1
+
+            # Capped weight based on face area
+            weight = min(face_area, max_weight)
+
+            # Score-based weighting (higher scores get more weight)
+            weight *= (score - self.face_config.unknown_score) * 10
+            weighted_scores[name] += score * weight
+            total_weights[name] += weight
+
+        if not weighted_scores:
+            return None, 0.0
+
+        best_name = max(weighted_scores, key=weighted_scores.get)
+
+        # If the number of faces for this person < min_faces, we are not confident it is a correct result
+        if counts[best_name] < self.face_config.min_faces:
+            return None, 0.0
+
+        # If the best name has the same number of results as another name, we are not confident it is a correct result
+        for name, count in counts.items():
+            if name != best_name and counts[best_name] == count:
+                return None, 0.0
+
+        weighted_average = weighted_scores[best_name] / total_weights[best_name]
+
+        return best_name, weighted_average
+
+    def write_face_attempt(
+        self,
+        frame: np.ndarray,
+        event_id: str,
+        timestamp: float,
+        sub_label: str,
+        score: float,
+    ) -> None:
+        if self.config.face_recognition.save_attempts:
+            # write face to library
+            folder = os.path.join(FACE_DIR, "train")
+
+            if "-" in sub_label:
+                sub_label = sub_label.replace("-", "_")
+
+            file = os.path.join(
+                folder, f"{event_id}-{timestamp}-{sub_label}-{score}.webp"
+            )
+            os.makedirs(folder, exist_ok=True)
+            cv2.imwrite(file, frame)
+
+            files = sorted(
+                filter(lambda f: (f.endswith(".webp")), os.listdir(folder)),
+                key=lambda f: os.path.getctime(os.path.join(folder, f)),
+                reverse=True,
+            )
+
+            # delete oldest face image if maximum is reached
+            if len(files) > self.config.face_recognition.save_attempts:
+                Path(os.path.join(folder, files[-1])).unlink(missing_ok=True)
diff --git a/frigate/data_processing/real_time/license_plate.py b/frigate/data_processing/real_time/license_plate.py
new file mode 100644
index 000000000..59c625de2
--- /dev/null
+++ b/frigate/data_processing/real_time/license_plate.py
@@ -0,0 +1,57 @@
+"""Handle processing images for face detection and recognition."""
+
+import logging
+from typing import Any
+
+import numpy as np
+
+from frigate.comms.event_metadata_updater import EventMetadataPublisher
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.config import FrigateConfig
+from frigate.data_processing.common.license_plate.mixin import (
+    LicensePlateProcessingMixin,
+)
+from frigate.data_processing.common.license_plate.model import (
+    LicensePlateModelRunner,
+)
+
+from ..types import DataProcessorMetrics
+from .api import RealTimeProcessorApi
+
+logger = logging.getLogger(__name__)
+
+
+class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcessorApi):
+    def __init__(
+        self,
+        config: FrigateConfig,
+        requestor: InterProcessRequestor,
+        sub_label_publisher: EventMetadataPublisher,
+        metrics: DataProcessorMetrics,
+        model_runner: LicensePlateModelRunner,
+        detected_license_plates: dict[str, dict[str, Any]],
+    ):
+        self.requestor = requestor
+        self.detected_license_plates = detected_license_plates
+        self.model_runner = model_runner
+        self.lpr_config = config.lpr
+        self.config = config
+        self.sub_label_publisher = sub_label_publisher
+        self.camera_current_cars: dict[str, list[str]] = {}
+        super().__init__(config, metrics)
+
+    def process_frame(
+        self,
+        obj_data: dict[str, Any],
+        frame: np.ndarray,
+        dedicated_lpr: bool | None = False,
+    ):
+        """Look for license plates in image."""
+        self.lpr_process(obj_data, frame, dedicated_lpr)
+
+    def handle_request(self, topic, request_data) -> dict[str, Any] | None:
+        return
+
+    def expire_object(self, object_id: str, camera: str):
+        """Expire lpr objects."""
+        self.lpr_expire(object_id, camera)
diff --git a/frigate/data_processing/types.py b/frigate/data_processing/types.py
new file mode 100644
index 000000000..a19a856bf
--- /dev/null
+++ b/frigate/data_processing/types.py
@@ -0,0 +1,43 @@
+"""Embeddings types."""
+
+import multiprocessing as mp
+from enum import Enum
+from multiprocessing.sharedctypes import Synchronized
+
+
+class DataProcessorMetrics:
+    image_embeddings_speed: Synchronized
+    image_embeddings_eps: Synchronized
+    text_embeddings_speed: Synchronized
+    text_embeddings_eps: Synchronized
+    face_rec_speed: Synchronized
+    face_rec_fps: Synchronized
+    alpr_speed: Synchronized
+    alpr_pps: Synchronized
+    yolov9_lpr_speed: Synchronized
+    yolov9_lpr_pps: Synchronized
+
+    def __init__(self):
+        self.image_embeddings_speed = mp.Value("d", 0.0)
+        self.image_embeddings_eps = mp.Value("d", 0.0)
+        self.text_embeddings_speed = mp.Value("d", 0.0)
+        self.text_embeddings_eps = mp.Value("d", 0.0)
+        self.face_rec_speed = mp.Value("d", 0.0)
+        self.face_rec_fps = mp.Value("d", 0.0)
+        self.alpr_speed = mp.Value("d", 0.0)
+        self.alpr_pps = mp.Value("d", 0.0)
+        self.yolov9_lpr_speed = mp.Value("d", 0.0)
+        self.yolov9_lpr_pps = mp.Value("d", 0.0)
+
+
+class DataProcessorModelRunner:
+    def __init__(self, requestor, device: str = "CPU", model_size: str = "large"):
+        self.requestor = requestor
+        self.device = device
+        self.model_size = model_size
+
+
+class PostProcessDataEnum(str, Enum):
+    recording = "recording"
+    review = "review"
+    tracked_object = "tracked_object"
diff --git a/frigate/detectors/detection_api.py b/frigate/detectors/detection_api.py
index 403bce574..4f03f28aa 100644
--- a/frigate/detectors/detection_api.py
+++ b/frigate/detectors/detection_api.py
@@ -4,7 +4,7 @@ from typing import List
 
 import numpy as np
 
-from frigate.detectors.detector_config import ModelTypeEnum
+from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
 
 logger = logging.getLogger(__name__)
 
@@ -14,9 +14,9 @@ class DetectionApi(ABC):
     supported_models: List[ModelTypeEnum]
 
     @abstractmethod
-    def __init__(self, detector_config):
+    def __init__(self, detector_config: BaseDetectorConfig):
         self.detector_config = detector_config
-        self.thresh = 0.5
+        self.thresh = 0.4
         self.height = detector_config.model.height
         self.width = detector_config.model.width
 
@@ -24,58 +24,34 @@ class DetectionApi(ABC):
     def detect_raw(self, tensor_input):
         pass
 
-    def post_process_yolonas(self, output):
-        """
-        @param output: output of inference
-        expected shape: [np.array(1, N, 4), np.array(1, N, 80)]
-        where N depends on the input size e.g. N=2100 for 320x320 images
+    def calculate_grids_strides(self, expanded=True) -> None:
+        grids = []
+        expanded_strides = []
 
-        @return: best results: np.array(20, 6) where each row is
-        in this order (class_id, score, y1/height, x1/width, y2/height, x2/width)
-        """
+        # decode and orient predictions
+        strides = [8, 16, 32]
+        hsizes = [self.height // stride for stride in strides]
+        wsizes = [self.width // stride for stride in strides]
 
-        N = output[0].shape[1]
+        for hsize, wsize, stride in zip(hsizes, wsizes, strides):
+            xv, yv = np.meshgrid(np.arange(wsize), np.arange(hsize))
 
-        boxes = output[0].reshape(N, 4)
-        scores = output[1].reshape(N, 80)
-
-        class_ids = np.argmax(scores, axis=1)
-        scores = scores[np.arange(N), class_ids]
-
-        args_best = np.argwhere(scores > self.thresh)[:, 0]
-
-        num_matches = len(args_best)
-        if num_matches == 0:
-            return np.zeros((20, 6), np.float32)
-        elif num_matches > 20:
-            args_best20 = np.argpartition(scores[args_best], -20)[-20:]
-            args_best = args_best[args_best20]
-
-        boxes = boxes[args_best]
-        class_ids = class_ids[args_best]
-        scores = scores[args_best]
-
-        boxes = np.transpose(
-            np.vstack(
-                (
-                    boxes[:, 1] / self.height,
-                    boxes[:, 0] / self.width,
-                    boxes[:, 3] / self.height,
-                    boxes[:, 2] / self.width,
+            if expanded:
+                grid = np.stack((xv, yv), 2).reshape(1, -1, 2)
+                grids.append(grid)
+                shape = grid.shape[:2]
+                expanded_strides.append(np.full((*shape, 1), stride))
+            else:
+                xv = xv.reshape(1, 1, hsize, wsize)
+                yv = yv.reshape(1, 1, hsize, wsize)
+                grids.extend(np.concatenate((xv, yv), axis=1).tolist())
+                expanded_strides.extend(
+                    np.array([stride, stride]).reshape(1, 2, 1, 1).tolist()
                 )
-            )
-        )
 
-        results = np.hstack(
-            (class_ids[..., np.newaxis], scores[..., np.newaxis], boxes)
-        )
-
-        return np.resize(results, (20, 6))
-
-    def post_process(self, output):
-        if self.detector_config.model.model_type == ModelTypeEnum.yolonas:
-            return self.post_process_yolonas(output)
+        if expanded:
+            self.grids = np.concatenate(grids, 1)
+            self.expanded_strides = np.concatenate(expanded_strides, 1)
         else:
-            raise ValueError(
-                f'Model type "{self.detector_config.model.model_type}" is currently not supported.'
-            )
+            self.grids = grids
+            self.expanded_strides = expanded_strides
diff --git a/frigate/detectors/detector_config.py b/frigate/detectors/detector_config.py
index 452f1feed..3893908d2 100644
--- a/frigate/detectors/detector_config.py
+++ b/frigate/detectors/detector_config.py
@@ -3,13 +3,13 @@ import json
 import logging
 import os
 from enum import Enum
-from typing import Dict, Optional, Tuple
+from typing import Any, Dict, Optional, Tuple
 
 import requests
 from pydantic import BaseModel, ConfigDict, Field
 from pydantic.fields import PrivateAttr
 
-from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP
+from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP, MODEL_CACHE_DIR
 from frigate.plus import PlusApi
 from frigate.util.builtin import generate_color_palette, load_labels
 
@@ -25,17 +25,23 @@ class PixelFormatEnum(str, Enum):
 class InputTensorEnum(str, Enum):
     nchw = "nchw"
     nhwc = "nhwc"
+    hwnc = "hwnc"
+    hwcn = "hwcn"
 
 
 class InputDTypeEnum(str, Enum):
     float = "float"
+    float_denorm = "float_denorm"  # non-normalized float
     int = "int"
 
 
 class ModelTypeEnum(str, Enum):
+    dfine = "dfine"
+    rfdetr = "rfdetr"
     ssd = "ssd"
     yolox = "yolox"
     yolonas = "yolonas"
+    yologeneric = "yolo-generic"
 
 
 class ModelConfig(BaseModel):
@@ -78,6 +84,10 @@ class ModelConfig(BaseModel):
     def colormap(self) -> Dict[int, Tuple[int, int, int]]:
         return self._colormap
 
+    @property
+    def non_logo_attributes(self) -> list[str]:
+        return ["face", "license_plate"]
+
     @property
     def all_attributes(self) -> list[str]:
         return self._all_attributes
@@ -107,7 +117,7 @@ class ModelConfig(BaseModel):
 
         self._all_attributes = list(unique_attributes)
         self._all_attribute_logos = list(
-            unique_attributes - set(["face", "license_plate"])
+            unique_attributes - set(self.non_logo_attributes)
         )
 
     def check_and_load_plus_model(
@@ -116,8 +126,11 @@ class ModelConfig(BaseModel):
         if not self.path or not self.path.startswith("plus://"):
             return
 
+        # ensure that model cache dir exists
+        os.makedirs(MODEL_CACHE_DIR, exist_ok=True)
+
         model_id = self.path[7:]
-        self.path = f"/config/model_cache/{model_id}"
+        self.path = os.path.join(MODEL_CACHE_DIR, model_id)
         model_info_path = f"{self.path}.json"
 
         # download the model if it doesn't exist
@@ -134,7 +147,7 @@ class ModelConfig(BaseModel):
                 json.dump(model_info, f)
         else:
             with open(model_info_path, "r") as f:
-                model_info: dict[str, any] = json.load(f)
+                model_info: dict[str, Any] = json.load(f)
 
         if detector and detector not in model_info["supportedDetectors"]:
             raise ValueError(f"Model does not support detector type of {detector}")
diff --git a/frigate/detectors/plugins/edgetpu_tfl.py b/frigate/detectors/plugins/edgetpu_tfl.py
index c320bd89b..246d2dd41 100644
--- a/frigate/detectors/plugins/edgetpu_tfl.py
+++ b/frigate/detectors/plugins/edgetpu_tfl.py
@@ -1,4 +1,5 @@
 import logging
+import os
 
 import numpy as np
 from pydantic import Field
@@ -45,9 +46,17 @@ class EdgeTpuTfl(DetectionApi):
                 experimental_delegates=[edge_tpu_delegate],
             )
         except ValueError:
-            logger.error(
-                "No EdgeTPU was detected. If you do not have a Coral device yet, you must configure CPU detectors."
-            )
+            _, ext = os.path.splitext(detector_config.model.path)
+
+            if ext and ext != ".tflite":
+                logger.error(
+                    "Incorrect model used with EdgeTPU. Only .tflite models can be used with a Coral EdgeTPU."
+                )
+            else:
+                logger.error(
+                    "No EdgeTPU was detected. If you do not have a Coral device yet, you must configure CPU detectors."
+                )
+
             raise
 
         self.interpreter.allocate_tensors()
diff --git a/frigate/detectors/plugins/hailo8l.py b/frigate/detectors/plugins/hailo8l.py
old mode 100644
new mode 100755
index b66d78bd6..aa856dd80
--- a/frigate/detectors/plugins/hailo8l.py
+++ b/frigate/detectors/plugins/hailo8l.py
@@ -1,285 +1,418 @@
 import logging
 import os
+import subprocess
+import threading
 import urllib.request
+from functools import partial
+from typing import Dict, List, Optional, Tuple
 
+import cv2
 import numpy as np
-
-try:
-    from hailo_platform import (
-        HEF,
-        ConfigureParams,
-        FormatType,
-        HailoRTException,
-        HailoStreamInterface,
-        InferVStreams,
-        InputVStreamParams,
-        OutputVStreamParams,
-        VDevice,
-    )
-except ModuleNotFoundError:
-    pass
-
-from pydantic import BaseModel, Field
+from pydantic import Field
 from typing_extensions import Literal
 
+from frigate.const import MODEL_CACHE_DIR
 from frigate.detectors.detection_api import DetectionApi
-from frigate.detectors.detector_config import BaseDetectorConfig
+from frigate.detectors.detector_config import (
+    BaseDetectorConfig,
+)
+from frigate.object_detection.util import RequestStore, ResponseStore
 
-# Set up logging
 logger = logging.getLogger(__name__)
 
-# Define the detector key for Hailo
+
+# ----------------- Utility Functions ----------------- #
+
+
+def preprocess_tensor(image: np.ndarray, model_w: int, model_h: int) -> np.ndarray:
+    """
+    Resize an image with unchanged aspect ratio using padding.
+    Assumes input image shape is (H, W, 3).
+    """
+    if image.ndim == 4 and image.shape[0] == 1:
+        image = image[0]
+
+    h, w = image.shape[:2]
+
+    if (w, h) == (320, 320) and (model_w, model_h) == (640, 640):
+        return cv2.resize(image, (model_w, model_h), interpolation=cv2.INTER_LINEAR)
+
+    scale = min(model_w / w, model_h / h)
+    new_w, new_h = int(w * scale), int(h * scale)
+    resized_image = cv2.resize(image, (new_w, new_h), interpolation=cv2.INTER_CUBIC)
+    padded_image = np.full((model_h, model_w, 3), 114, dtype=image.dtype)
+    x_offset = (model_w - new_w) // 2
+    y_offset = (model_h - new_h) // 2
+    padded_image[y_offset : y_offset + new_h, x_offset : x_offset + new_w] = (
+        resized_image
+    )
+    return padded_image
+
+
+# ----------------- Global Constants ----------------- #
 DETECTOR_KEY = "hailo8l"
+ARCH = None
+H8_DEFAULT_MODEL = "yolov6n.hef"
+H8L_DEFAULT_MODEL = "yolov6n.hef"
+H8_DEFAULT_URL = "https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.14.0/hailo8/yolov6n.hef"
+H8L_DEFAULT_URL = "https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.14.0/hailo8l/yolov6n.hef"
 
 
-# Configuration class for model settings
-class ModelConfig(BaseModel):
-    path: str = Field(default=None, title="Model Path")  # Path to the HEF file
+def detect_hailo_arch():
+    try:
+        result = subprocess.run(
+            ["hailortcli", "fw-control", "identify"], capture_output=True, text=True
+        )
+        if result.returncode != 0:
+            logger.error(f"Inference error: {result.stderr}")
+            return None
+        for line in result.stdout.split("\n"):
+            if "Device Architecture" in line:
+                if "HAILO8L" in line:
+                    return "hailo8l"
+                elif "HAILO8" in line:
+                    return "hailo8"
+        logger.error("Inference error: Could not determine Hailo architecture.")
+        return None
+    except Exception as e:
+        logger.error(f"Inference error: {e}")
+        return None
 
 
-# Configuration class for Hailo detector
-class HailoDetectorConfig(BaseDetectorConfig):
-    type: Literal[DETECTOR_KEY]  # Type of the detector
-    device: str = Field(default="PCIe", title="Device Type")  # Device type (e.g., PCIe)
-
-
-# Hailo detector class implementation
-class HailoDetector(DetectionApi):
-    type_key = DETECTOR_KEY  # Set the type key to the Hailo detector key
-
-    def __init__(self, detector_config: HailoDetectorConfig):
-        # Initialize device type and model path from the configuration
-        self.h8l_device_type = detector_config.device
-        self.h8l_model_path = detector_config.model.path
-        self.h8l_model_height = detector_config.model.height
-        self.h8l_model_width = detector_config.model.width
-        self.h8l_model_type = detector_config.model.model_type
-        self.h8l_tensor_format = detector_config.model.input_tensor
-        self.h8l_pixel_format = detector_config.model.input_pixel_format
-        self.model_url = "https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.11.0/hailo8l/ssd_mobilenet_v1.hef"
-        self.cache_dir = "/config/model_cache/h8l_cache"
-        self.expected_model_filename = "ssd_mobilenet_v1.hef"
-        output_type = "FLOAT32"
-
-        logger.info(f"Initializing Hailo device as {self.h8l_device_type}")
-        self.check_and_prepare_model()
+# ----------------- HailoAsyncInference Class ----------------- #
+class HailoAsyncInference:
+    def __init__(
+        self,
+        hef_path: str,
+        input_store: RequestStore,
+        output_store: ResponseStore,
+        batch_size: int = 1,
+        input_type: Optional[str] = None,
+        output_type: Optional[Dict[str, str]] = None,
+        send_original_frame: bool = False,
+    ) -> None:
+        # when importing hailo it activates the driver
+        # which leaves processes running even though it may not be used.
         try:
-            # Validate device type
-            if self.h8l_device_type not in ["PCIe", "M.2"]:
-                raise ValueError(f"Unsupported device type: {self.h8l_device_type}")
-
-            # Initialize the Hailo device
-            self.target = VDevice()
-            # Load the HEF (Hailo's binary format for neural networks)
-            self.hef = HEF(self.h8l_model_path)
-            # Create configuration parameters from the HEF
-            self.configure_params = ConfigureParams.create_from_hef(
-                hef=self.hef, interface=HailoStreamInterface.PCIe
+            from hailo_platform import (
+                HEF,
+                FormatType,
+                HailoSchedulingAlgorithm,
+                VDevice,
             )
-            # Configure the device with the HEF
-            self.network_groups = self.target.configure(self.hef, self.configure_params)
-            self.network_group = self.network_groups[0]
-            self.network_group_params = self.network_group.create_params()
+        except ModuleNotFoundError:
+            pass
 
-            # Create input and output virtual stream parameters
-            self.input_vstream_params = InputVStreamParams.make(
-                self.network_group,
-                format_type=self.hef.get_input_vstream_infos()[0].format.type,
-            )
-            self.output_vstream_params = OutputVStreamParams.make(
-                self.network_group, format_type=getattr(FormatType, output_type)
-            )
+        self.input_store = input_store
+        self.output_store = output_store
 
-            # Get input and output stream information from the HEF
-            self.input_vstream_info = self.hef.get_input_vstream_infos()
-            self.output_vstream_info = self.hef.get_output_vstream_infos()
+        params = VDevice.create_params()
+        params.scheduling_algorithm = HailoSchedulingAlgorithm.ROUND_ROBIN
 
-            logger.info("Hailo device initialized successfully")
-            logger.debug(f"[__init__] Model Path: {self.h8l_model_path}")
-            logger.debug(f"[__init__] Input Tensor Format: {self.h8l_tensor_format}")
-            logger.debug(f"[__init__] Input Pixel Format: {self.h8l_pixel_format}")
-            logger.debug(f"[__init__] Input VStream Info: {self.input_vstream_info[0]}")
-            logger.debug(
-                f"[__init__] Output VStream Info: {self.output_vstream_info[0]}"
+        self.hef = HEF(hef_path)
+        self.target = VDevice(params)
+        self.infer_model = self.target.create_infer_model(hef_path)
+        self.infer_model.set_batch_size(batch_size)
+
+        if input_type is not None:
+            self.infer_model.input().set_format_type(getattr(FormatType, input_type))
+
+        if output_type is not None:
+            for output_name, output_type in output_type.items():
+                self.infer_model.output(output_name).set_format_type(
+                    getattr(FormatType, output_type)
+                )
+
+        self.output_type = output_type
+        self.send_original_frame = send_original_frame
+
+    def callback(
+        self,
+        completion_info,
+        bindings_list: List,
+        input_batch: List,
+        request_ids: List[int],
+    ):
+        if completion_info.exception:
+            logger.error(f"Inference error: {completion_info.exception}")
+        else:
+            for i, bindings in enumerate(bindings_list):
+                if len(bindings._output_names) == 1:
+                    result = bindings.output().get_buffer()
+                else:
+                    result = {
+                        name: np.expand_dims(bindings.output(name).get_buffer(), axis=0)
+                        for name in bindings._output_names
+                    }
+                self.output_store.put(request_ids[i], (input_batch[i], result))
+
+    def _create_bindings(self, configured_infer_model) -> object:
+        if self.output_type is None:
+            output_buffers = {
+                output_info.name: np.empty(
+                    self.infer_model.output(output_info.name).shape,
+                    dtype=getattr(
+                        np, str(output_info.format.type).split(".")[1].lower()
+                    ),
+                )
+                for output_info in self.hef.get_output_vstream_infos()
+            }
+        else:
+            output_buffers = {
+                name: np.empty(
+                    self.infer_model.output(name).shape,
+                    dtype=getattr(np, self.output_type[name].lower()),
+                )
+                for name in self.output_type
+            }
+        return configured_infer_model.create_bindings(output_buffers=output_buffers)
+
+    def get_input_shape(self) -> Tuple[int, ...]:
+        return self.hef.get_input_vstream_infos()[0].shape
+
+    def run(self) -> None:
+        job = None
+        with self.infer_model.configure() as configured_infer_model:
+            while True:
+                batch_data = self.input_store.get()
+
+                if batch_data is None:
+                    break
+
+                request_id, frame_data = batch_data
+                preprocessed_batch = [frame_data]
+                request_ids = [request_id]
+                input_batch = preprocessed_batch  # non-send_original_frame mode
+
+                bindings_list = []
+                for frame in preprocessed_batch:
+                    bindings = self._create_bindings(configured_infer_model)
+                    bindings.input().set_buffer(np.array(frame))
+                    bindings_list.append(bindings)
+                configured_infer_model.wait_for_async_ready(timeout_ms=10000)
+                job = configured_infer_model.run_async(
+                    bindings_list,
+                    partial(
+                        self.callback,
+                        input_batch=input_batch,
+                        request_ids=request_ids,
+                        bindings_list=bindings_list,
+                    ),
+                )
+
+            if job is not None:
+                job.wait(100)
+
+
+# ----------------- HailoDetector Class ----------------- #
+class HailoDetector(DetectionApi):
+    type_key = DETECTOR_KEY
+
+    def __init__(self, detector_config: "HailoDetectorConfig"):
+        global ARCH
+        ARCH = detect_hailo_arch()
+        self.cache_dir = MODEL_CACHE_DIR
+        self.device_type = detector_config.device
+        self.model_height = (
+            detector_config.model.height
+            if hasattr(detector_config.model, "height")
+            else None
+        )
+        self.model_width = (
+            detector_config.model.width
+            if hasattr(detector_config.model, "width")
+            else None
+        )
+        self.model_type = (
+            detector_config.model.model_type
+            if hasattr(detector_config.model, "model_type")
+            else None
+        )
+        self.tensor_format = (
+            detector_config.model.input_tensor
+            if hasattr(detector_config.model, "input_tensor")
+            else None
+        )
+        self.pixel_format = (
+            detector_config.model.input_pixel_format
+            if hasattr(detector_config.model, "input_pixel_format")
+            else None
+        )
+        self.input_dtype = (
+            detector_config.model.input_dtype
+            if hasattr(detector_config.model, "input_dtype")
+            else None
+        )
+        self.output_type = "FLOAT32"
+        self.set_path_and_url(detector_config.model.path)
+        self.working_model_path = self.check_and_prepare()
+
+        self.batch_size = 1
+        self.input_store = RequestStore()
+        self.response_store = ResponseStore()
+
+        try:
+            logger.debug(f"[INIT] Loading HEF model from {self.working_model_path}")
+            self.inference_engine = HailoAsyncInference(
+                self.working_model_path,
+                self.input_store,
+                self.response_store,
+                self.batch_size,
             )
-        except HailoRTException as e:
-            logger.error(f"HailoRTException during initialization: {e}")
-            raise
+            self.input_shape = self.inference_engine.get_input_shape()
+            logger.debug(f"[INIT] Model input shape: {self.input_shape}")
+            self.inference_thread = threading.Thread(
+                target=self.inference_engine.run, daemon=True
+            )
+            self.inference_thread.start()
         except Exception as e:
-            logger.error(f"Failed to initialize Hailo device: {e}")
+            logger.error(f"[INIT] Failed to initialize HailoAsyncInference: {e}")
             raise
 
-    def check_and_prepare_model(self):
-        # Ensure cache directory exists
+    def set_path_and_url(self, path: str = None):
+        if not path:
+            self.model_path = None
+            self.url = None
+            return
+        if self.is_url(path):
+            self.url = path
+            self.model_path = None
+        else:
+            self.model_path = path
+            self.url = None
+
+    def is_url(self, url: str) -> bool:
+        return (
+            url.startswith("http://")
+            or url.startswith("https://")
+            or url.startswith("www.")
+        )
+
+    @staticmethod
+    def extract_model_name(path: str = None, url: str = None) -> str:
+        if path and path.endswith(".hef"):
+            return os.path.basename(path)
+        elif url and url.endswith(".hef"):
+            return os.path.basename(url)
+        else:
+            if ARCH == "hailo8":
+                return H8_DEFAULT_MODEL
+            else:
+                return H8L_DEFAULT_MODEL
+
+    @staticmethod
+    def download_model(url: str, destination: str):
+        if not url.endswith(".hef"):
+            raise ValueError("Invalid model URL. Only .hef files are supported.")
+        try:
+            urllib.request.urlretrieve(url, destination)
+            logger.debug(f"Downloaded model to {destination}")
+        except Exception as e:
+            raise RuntimeError(f"Failed to download model from {url}: {str(e)}")
+
+    def check_and_prepare(self) -> str:
         if not os.path.exists(self.cache_dir):
             os.makedirs(self.cache_dir)
-
-        # Check for the expected model file
-        model_file_path = os.path.join(self.cache_dir, self.expected_model_filename)
-        if not os.path.isfile(model_file_path):
-            logger.info(
-                f"A model file was not found at {model_file_path}, Downloading one from {self.model_url}."
-            )
-            urllib.request.urlretrieve(self.model_url, model_file_path)
-            logger.info(f"A model file was downloaded to {model_file_path}.")
-        else:
-            logger.info(
-                f"A model file already exists at {model_file_path} not downloading one."
-            )
+        model_name = self.extract_model_name(self.model_path, self.url)
+        cached_model_path = os.path.join(self.cache_dir, model_name)
+        if not self.model_path and not self.url:
+            if os.path.exists(cached_model_path):
+                logger.debug(f"Model found in cache: {cached_model_path}")
+                return cached_model_path
+            else:
+                logger.debug(f"Downloading default model: {model_name}")
+                if ARCH == "hailo8":
+                    self.download_model(H8_DEFAULT_URL, cached_model_path)
+                else:
+                    self.download_model(H8L_DEFAULT_URL, cached_model_path)
+        elif self.url:
+            logger.debug(f"Downloading model from URL: {self.url}")
+            self.download_model(self.url, cached_model_path)
+        elif self.model_path:
+            if os.path.exists(self.model_path):
+                logger.debug(f"Using existing model at: {self.model_path}")
+                return self.model_path
+            else:
+                raise FileNotFoundError(f"Model file not found at: {self.model_path}")
+        return cached_model_path
 
     def detect_raw(self, tensor_input):
-        logger.debug("[detect_raw] Entering function")
-        logger.debug(
-            f"[detect_raw] The `tensor_input` = {tensor_input} tensor_input shape = {tensor_input.shape}"
-        )
+        tensor_input = self.preprocess(tensor_input)
 
-        if tensor_input is None:
-            raise ValueError(
-                "[detect_raw] The 'tensor_input' argument must be provided"
-            )
+        if isinstance(tensor_input, np.ndarray) and len(tensor_input.shape) == 3:
+            tensor_input = np.expand_dims(tensor_input, axis=0)
 
-        # Ensure tensor_input is a numpy array
-        if isinstance(tensor_input, list):
-            tensor_input = np.array(tensor_input)
-            logger.debug(
-                f"[detect_raw] Converted tensor_input to numpy array: shape {tensor_input.shape}"
-            )
-
-        input_data = tensor_input
-        logger.debug(
-            f"[detect_raw] Input data for inference shape: {tensor_input.shape}, dtype: {tensor_input.dtype}"
-        )
+        request_id = self.input_store.put(tensor_input)
 
         try:
-            with InferVStreams(
-                self.network_group,
-                self.input_vstream_params,
-                self.output_vstream_params,
-            ) as infer_pipeline:
-                input_dict = {}
-                if isinstance(input_data, dict):
-                    input_dict = input_data
-                    logger.debug("[detect_raw] it a dictionary.")
-                elif isinstance(input_data, (list, tuple)):
-                    for idx, layer_info in enumerate(self.input_vstream_info):
-                        input_dict[layer_info.name] = input_data[idx]
-                        logger.debug("[detect_raw] converted from list/tuple.")
-                else:
-                    if len(input_data.shape) == 3:
-                        input_data = np.expand_dims(input_data, axis=0)
-                        logger.debug("[detect_raw] converted from an array.")
-                    input_dict[self.input_vstream_info[0].name] = input_data
+            _, infer_results = self.response_store.get(request_id, timeout=1.0)
+        except TimeoutError:
+            logger.error(
+                f"Timeout waiting for inference results for request {request_id}"
+            )
 
-                logger.debug(
-                    f"[detect_raw] Input dictionary for inference keys: {input_dict.keys()}"
+            if not self.inference_thread.is_alive():
+                raise RuntimeError(
+                    "HailoRT inference thread has stopped, restart required."
                 )
 
-                with self.network_group.activate(self.network_group_params):
-                    raw_output = infer_pipeline.infer(input_dict)
-                    logger.debug(f"[detect_raw] Raw inference output: {raw_output}")
+            return np.zeros((20, 6), dtype=np.float32)
 
-                    if self.output_vstream_info[0].name not in raw_output:
-                        logger.error(
-                            f"[detect_raw] Missing output stream {self.output_vstream_info[0].name} in inference results"
-                        )
-                        return np.zeros((20, 6), np.float32)
+        if isinstance(infer_results, list) and len(infer_results) == 1:
+            infer_results = infer_results[0]
 
-                    raw_output = raw_output[self.output_vstream_info[0].name][0]
-                    logger.debug(
-                        f"[detect_raw] Raw output for stream {self.output_vstream_info[0].name}: {raw_output}"
-                    )
-
-            # Process the raw output
-            detections = self.process_detections(raw_output)
-            if len(detections) == 0:
-                logger.debug(
-                    "[detect_raw] No detections found after processing. Setting default values."
-                )
-                return np.zeros((20, 6), np.float32)
-            else:
-                formatted_detections = detections
-                if (
-                    formatted_detections.shape[1] != 6
-                ):  # Ensure the formatted detections have 6 columns
-                    logger.error(
-                        f"[detect_raw] Unexpected shape for formatted detections: {formatted_detections.shape}. Expected (20, 6)."
-                    )
-                    return np.zeros((20, 6), np.float32)
-                return formatted_detections
-        except HailoRTException as e:
-            logger.error(f"[detect_raw] HailoRTException during inference: {e}")
-            return np.zeros((20, 6), np.float32)
-        except Exception as e:
-            logger.error(f"[detect_raw] Exception during inference: {e}")
-            return np.zeros((20, 6), np.float32)
-        finally:
-            logger.debug("[detect_raw] Exiting function")
-
-    def process_detections(self, raw_detections, threshold=0.5):
-        boxes, scores, classes = [], [], []
-        num_detections = 0
-
-        logger.debug(f"[process_detections] Raw detections: {raw_detections}")
-
-        for i, detection_set in enumerate(raw_detections):
+        threshold = 0.4
+        all_detections = []
+        for class_id, detection_set in enumerate(infer_results):
             if not isinstance(detection_set, np.ndarray) or detection_set.size == 0:
-                logger.debug(
-                    f"[process_detections] Detection set {i} is empty or not an array, skipping."
-                )
                 continue
-
-            logger.debug(
-                f"[process_detections] Detection set {i} shape: {detection_set.shape}"
-            )
-
-            for detection in detection_set:
-                if detection.shape[0] == 0:
-                    logger.debug(
-                        f"[process_detections] Detection in set {i} is empty, skipping."
-                    )
+            for det in detection_set:
+                if det.shape[0] < 5:
                     continue
-
-                ymin, xmin, ymax, xmax = detection[:4]
-                score = np.clip(detection[4], 0, 1)  # Use np.clip for clarity
-
+                score = float(det[4])
                 if score < threshold:
-                    logger.debug(
-                        f"[process_detections] Detection in set {i} has a score {score} below threshold {threshold}. Skipping."
-                    )
                     continue
+                all_detections.append([class_id, score, det[0], det[1], det[2], det[3]])
 
-                logger.debug(
-                    f"[process_detections] Adding detection with coordinates: ({xmin}, {ymin}), ({xmax}, {ymax}) and score: {score}"
-                )
-                boxes.append([ymin, xmin, ymax, xmax])
-                scores.append(score)
-                classes.append(i)
-                num_detections += 1
+        if len(all_detections) == 0:
+            detections_array = np.zeros((20, 6), dtype=np.float32)
+        else:
+            detections_array = np.array(all_detections, dtype=np.float32)
+            if detections_array.shape[0] > 20:
+                detections_array = detections_array[:20, :]
+            elif detections_array.shape[0] < 20:
+                pad = np.zeros((20 - detections_array.shape[0], 6), dtype=np.float32)
+                detections_array = np.vstack((detections_array, pad))
 
-        logger.debug(
-            f"[process_detections] Boxes: {boxes}, Scores: {scores}, Classes: {classes}, Num detections: {num_detections}"
-        )
+        return detections_array
 
-        if num_detections == 0:
-            logger.debug("[process_detections] No valid detections found.")
-            return np.zeros((20, 6), np.float32)
-
-        combined = np.hstack(
-            (
-                np.array(classes)[:, np.newaxis],
-                np.array(scores)[:, np.newaxis],
-                np.array(boxes),
+    def preprocess(self, image):
+        if isinstance(image, np.ndarray):
+            processed = preprocess_tensor(
+                image, self.input_shape[1], self.input_shape[0]
             )
-        )
+            return np.expand_dims(processed, axis=0)
+        else:
+            raise ValueError("Unsupported image format for preprocessing")
 
-        if combined.shape[0] < 20:
-            padding = np.zeros(
-                (20 - combined.shape[0], combined.shape[1]), dtype=combined.dtype
-            )
-            combined = np.vstack((combined, padding))
+    def close(self):
+        """Properly shuts down the inference engine and releases the VDevice."""
+        logger.debug("[CLOSE] Closing HailoDetector")
+        try:
+            if hasattr(self, "inference_engine"):
+                if hasattr(self.inference_engine, "target"):
+                    self.inference_engine.target.release()
+                logger.debug("Hailo VDevice released successfully")
+        except Exception as e:
+            logger.error(f"Failed to close Hailo device: {e}")
+            raise
 
-        logger.debug(
-            f"[process_detections] Combined detections (padded to 20 if necessary): {np.array_str(combined, precision=4, suppress_small=True)}"
-        )
+    def __del__(self):
+        """Destructor to ensure cleanup when the object is deleted."""
+        self.close()
 
-        return combined[:20, :6]
+
+# ----------------- HailoDetectorConfig Class ----------------- #
+class HailoDetectorConfig(BaseDetectorConfig):
+    type: Literal[DETECTOR_KEY]
+    device: str = Field(default="PCIe", title="Device Type")
diff --git a/frigate/detectors/plugins/onnx.py b/frigate/detectors/plugins/onnx.py
index 7004f28fa..45e37d6cd 100644
--- a/frigate/detectors/plugins/onnx.py
+++ b/frigate/detectors/plugins/onnx.py
@@ -9,7 +9,13 @@ from frigate.detectors.detector_config import (
     BaseDetectorConfig,
     ModelTypeEnum,
 )
-from frigate.util.model import get_ort_providers
+from frigate.util.model import (
+    get_ort_providers,
+    post_process_dfine,
+    post_process_rfdetr,
+    post_process_yolo,
+    post_process_yolox,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -25,6 +31,8 @@ class ONNXDetector(DetectionApi):
     type_key = DETECTOR_KEY
 
     def __init__(self, detector_config: ONNXDetectorConfig):
+        super().__init__(detector_config)
+
         try:
             import onnxruntime as ort
 
@@ -41,24 +49,40 @@ class ONNXDetector(DetectionApi):
         providers, options = get_ort_providers(
             detector_config.device == "CPU", detector_config.device
         )
+
         self.model = ort.InferenceSession(
             path, providers=providers, provider_options=options
         )
 
-        self.h = detector_config.model.height
-        self.w = detector_config.model.width
         self.onnx_model_type = detector_config.model.model_type
         self.onnx_model_px = detector_config.model.input_pixel_format
         self.onnx_model_shape = detector_config.model.input_tensor
         path = detector_config.model.path
 
+        if self.onnx_model_type == ModelTypeEnum.yolox:
+            self.calculate_grids_strides()
+
         logger.info(f"ONNX: {path} loaded")
 
     def detect_raw(self, tensor_input: np.ndarray):
+        if self.onnx_model_type == ModelTypeEnum.dfine:
+            tensor_output = self.model.run(
+                None,
+                {
+                    "images": tensor_input,
+                    "orig_target_sizes": np.array(
+                        [[self.height, self.width]], dtype=np.int64
+                    ),
+                },
+            )
+            return post_process_dfine(tensor_output, self.width, self.height)
+
         model_input_name = self.model.get_inputs()[0].name
         tensor_output = self.model.run(None, {model_input_name: tensor_input})
 
-        if self.onnx_model_type == ModelTypeEnum.yolonas:
+        if self.onnx_model_type == ModelTypeEnum.rfdetr:
+            return post_process_rfdetr(tensor_output)
+        elif self.onnx_model_type == ModelTypeEnum.yolonas:
             predictions = tensor_output[0]
 
             detections = np.zeros((20, 6), np.float32)
@@ -73,13 +97,23 @@ class ONNXDetector(DetectionApi):
                 detections[i] = [
                     class_id,
                     confidence,
-                    y_min / self.h,
-                    x_min / self.w,
-                    y_max / self.h,
-                    x_max / self.w,
+                    y_min / self.height,
+                    x_min / self.width,
+                    y_max / self.height,
+                    x_max / self.width,
                 ]
             return detections
+        elif self.onnx_model_type == ModelTypeEnum.yologeneric:
+            return post_process_yolo(tensor_output, self.width, self.height)
+        elif self.onnx_model_type == ModelTypeEnum.yolox:
+            return post_process_yolox(
+                tensor_output[0],
+                self.width,
+                self.height,
+                self.grids,
+                self.expanded_strides,
+            )
         else:
             raise Exception(
-                f"{self.onnx_model_type} is currently not supported for rocm. See the docs for more info on supported models."
+                f"{self.onnx_model_type} is currently not supported for onnx. See the docs for more info on supported models."
             )
diff --git a/frigate/detectors/plugins/openvino.py b/frigate/detectors/plugins/openvino.py
index 51e48530b..066b6d311 100644
--- a/frigate/detectors/plugins/openvino.py
+++ b/frigate/detectors/plugins/openvino.py
@@ -3,12 +3,16 @@ import os
 
 import numpy as np
 import openvino as ov
-import openvino.properties as props
 from pydantic import Field
 from typing_extensions import Literal
 
 from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
+from frigate.util.model import (
+    post_process_dfine,
+    post_process_rfdetr,
+    post_process_yolo,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -22,9 +26,17 @@ class OvDetectorConfig(BaseDetectorConfig):
 
 class OvDetector(DetectionApi):
     type_key = DETECTOR_KEY
-    supported_models = [ModelTypeEnum.ssd, ModelTypeEnum.yolonas, ModelTypeEnum.yolox]
+    supported_models = [
+        ModelTypeEnum.dfine,
+        ModelTypeEnum.rfdetr,
+        ModelTypeEnum.ssd,
+        ModelTypeEnum.yolonas,
+        ModelTypeEnum.yologeneric,
+        ModelTypeEnum.yolox,
+    ]
 
     def __init__(self, detector_config: OvDetectorConfig):
+        super().__init__(detector_config)
         self.ov_core = ov.Core()
         self.ov_model_type = detector_config.model.model_type
 
@@ -35,8 +47,6 @@ class OvDetector(DetectionApi):
             logger.error(f"OpenVino model file {detector_config.model.path} not found.")
             raise FileNotFoundError
 
-        os.makedirs("/config/model_cache/openvino", exist_ok=True)
-        self.ov_core.set_property({props.cache_dir: "/config/model_cache/openvino"})
         self.interpreter = self.ov_core.compile_model(
             model=detector_config.model.path, device_name=detector_config.device
         )
@@ -49,7 +59,6 @@ class OvDetector(DetectionApi):
             )
             self.model_invalid = True
 
-        # Ensure the SSD model has the right input and output shapes
         if self.ov_model_type == ModelTypeEnum.ssd:
             model_inputs = self.interpreter.inputs
             model_outputs = self.interpreter.outputs
@@ -65,12 +74,6 @@ class OvDetector(DetectionApi):
                 )
                 self.model_invalid = True
 
-            if model_inputs[0].get_shape() != ov.Shape([1, self.w, self.h, 3]):
-                logger.error(
-                    f"SSD model input doesn't match. Found {model_inputs[0].get_shape()}."
-                )
-                self.model_invalid = True
-
             output_shape = model_outputs[0].get_shape()
             if output_shape[0] != 1 or output_shape[1] != 1 or output_shape[3] != 7:
                 logger.error(f"SSD model output doesn't match. Found {output_shape}.")
@@ -90,13 +93,6 @@ class OvDetector(DetectionApi):
                     f"YoloNAS models must be exported in flat format and only have 1 output. Found {len(model_outputs)}."
                 )
                 self.model_invalid = True
-
-            if model_inputs[0].get_shape() != ov.Shape([1, 3, self.w, self.h]):
-                logger.error(
-                    f"YoloNAS model input doesn't match. Found {model_inputs[0].get_shape()}, but expected {[1, 3, self.w, self.h]}."
-                )
-                self.model_invalid = True
-
             output_shape = model_outputs[0].partial_shape
             if output_shape[-1] != 7:
                 logger.error(
@@ -118,25 +114,7 @@ class OvDetector(DetectionApi):
                     break
             self.num_classes = tensor_shape[2] - 5
             logger.info(f"YOLOX model has {self.num_classes} classes")
-            self.set_strides_grids()
-
-    def set_strides_grids(self):
-        grids = []
-        expanded_strides = []
-
-        strides = [8, 16, 32]
-
-        hsize_list = [self.h // stride for stride in strides]
-        wsize_list = [self.w // stride for stride in strides]
-
-        for hsize, wsize, stride in zip(hsize_list, wsize_list, strides):
-            xv, yv = np.meshgrid(np.arange(wsize), np.arange(hsize))
-            grid = np.stack((xv, yv), 2).reshape(1, -1, 2)
-            grids.append(grid)
-            shape = grid.shape[:2]
-            expanded_strides.append(np.full((*shape, 1), stride))
-        self.grids = np.concatenate(grids, 1)
-        self.expanded_strides = np.concatenate(expanded_strides, 1)
+            self.calculate_grids_strides()
 
     ## Takes in class ID, confidence score, and array of [x, y, w, h] that describes detection position,
     ## returns an array that's easily passable back to Frigate.
@@ -154,14 +132,35 @@ class OvDetector(DetectionApi):
         infer_request = self.interpreter.create_infer_request()
         # TODO: see if we can use shared_memory=True
         input_tensor = ov.Tensor(array=tensor_input)
+
+        if self.ov_model_type == ModelTypeEnum.dfine:
+            infer_request.set_tensor("images", input_tensor)
+            target_sizes_tensor = ov.Tensor(
+                np.array([[self.h, self.w]], dtype=np.int64)
+            )
+            infer_request.set_tensor("orig_target_sizes", target_sizes_tensor)
+            infer_request.infer()
+            tensor_output = (
+                infer_request.get_output_tensor(0).data,
+                infer_request.get_output_tensor(1).data,
+                infer_request.get_output_tensor(2).data,
+            )
+            return post_process_dfine(tensor_output, self.w, self.h)
+
         infer_request.infer(input_tensor)
 
         detections = np.zeros((20, 6), np.float32)
 
         if self.model_invalid:
             return detections
-
-        if self.ov_model_type == ModelTypeEnum.ssd:
+        elif self.ov_model_type == ModelTypeEnum.rfdetr:
+            return post_process_rfdetr(
+                [
+                    infer_request.get_output_tensor(0).data,
+                    infer_request.get_output_tensor(1).data,
+                ]
+            )
+        elif self.ov_model_type == ModelTypeEnum.ssd:
             results = infer_request.get_output_tensor(0).data[0][0]
 
             for i, (_, class_id, score, xmin, ymin, xmax, ymax) in enumerate(results):
@@ -176,8 +175,7 @@ class OvDetector(DetectionApi):
                     xmax,
                 ]
             return detections
-
-        if self.ov_model_type == ModelTypeEnum.yolonas:
+        elif self.ov_model_type == ModelTypeEnum.yolonas:
             predictions = infer_request.get_output_tensor(0).data
 
             for i, prediction in enumerate(predictions):
@@ -196,8 +194,14 @@ class OvDetector(DetectionApi):
                     x_max / self.w,
                 ]
             return detections
+        elif self.ov_model_type == ModelTypeEnum.yologeneric:
+            out_tensor = []
 
-        if self.ov_model_type == ModelTypeEnum.yolox:
+            for item in infer_request.output_tensors:
+                out_tensor.append(item.data)
+
+            return post_process_yolo(out_tensor, self.w, self.h)
+        elif self.ov_model_type == ModelTypeEnum.yolox:
             out_tensor = infer_request.get_output_tensor()
             # [x, y, h, w, box_score, class_no_1, ..., class_no_80],
             results = out_tensor.data
diff --git a/frigate/detectors/plugins/rknn.py b/frigate/detectors/plugins/rknn.py
index df94d7b62..828507c54 100644
--- a/frigate/detectors/plugins/rknn.py
+++ b/frigate/detectors/plugins/rknn.py
@@ -4,10 +4,14 @@ import re
 import urllib.request
 from typing import Literal
 
+import cv2
+import numpy as np
 from pydantic import Field
 
+from frigate.const import MODEL_CACHE_DIR
 from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
+from frigate.util.model import post_process_yolo
 
 logger = logging.getLogger(__name__)
 
@@ -15,9 +19,13 @@ DETECTOR_KEY = "rknn"
 
 supported_socs = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
 
-supported_models = {ModelTypeEnum.yolonas: "^deci-fp16-yolonas_[sml]$"}
+supported_models = {
+    ModelTypeEnum.yologeneric: "^frigate-fp16-yolov9-[cemst]$",
+    ModelTypeEnum.yolonas: "^deci-fp16-yolonas_[sml]$",
+    ModelTypeEnum.yolox: "^rock-(fp16|i8)-yolox_(nano|tiny)$",
+}
 
-model_cache_dir = "/config/model_cache/rknn_cache/"
+model_cache_dir = os.path.join(MODEL_CACHE_DIR, "rknn_cache/")
 
 
 class RknnDetectorConfig(BaseDetectorConfig):
@@ -39,6 +47,9 @@ class Rknn(DetectionApi):
 
         model_props = self.parse_model_input(model_path, soc)
 
+        if self.detector_config.model.model_type == ModelTypeEnum.yolox:
+            self.calculate_grids_strides(expanded=False)
+
         if model_props["preset"]:
             config.model.model_type = model_props["model_type"]
 
@@ -108,7 +119,7 @@ class Rknn(DetectionApi):
                     model_props["model_type"] = model_type
 
             if model_matched:
-                model_props["filename"] = model_path + f"-{soc}-v2.0.0-1.rknn"
+                model_props["filename"] = model_path + f"-{soc}-v2.3.2-2.rknn"
 
                 model_props["path"] = model_cache_dir + model_props["filename"]
 
@@ -129,24 +140,143 @@ class Rknn(DetectionApi):
             os.mkdir(model_cache_dir)
 
         urllib.request.urlretrieve(
-            f"https://github.com/MarcA711/rknn-models/releases/download/v2.0.0/{filename}",
+            f"https://github.com/MarcA711/rknn-models/releases/download/v2.3.2-2/{filename}",
             model_cache_dir + filename,
         )
 
-    def check_config(self, config):
-        if (config.model.width != 320) or (config.model.height != 320):
-            raise Exception(
-                "Make sure to set the model width and height to 320 in your config."
-            )
+    def post_process_yolonas(self, output: list[np.ndarray]):
+        """
+        @param output: output of inference
+        expected shape: [np.array(1, N, 4), np.array(1, N, 80)]
+        where N depends on the input size e.g. N=2100 for 320x320 images
 
-        if config.model.input_pixel_format != "bgr":
-            raise Exception(
-                'Make sure to set the model input_pixel_format to "bgr" in your config.'
-            )
+        @return: best results: np.array(20, 6) where each row is
+        in this order (class_id, score, y1/height, x1/width, y2/height, x2/width)
+        """
 
-        if config.model.input_tensor != "nhwc":
-            raise Exception(
-                'Make sure to set the model input_tensor to "nhwc" in your config.'
+        N = output[0].shape[1]
+
+        boxes = output[0].reshape(N, 4)
+        scores = output[1].reshape(N, 80)
+
+        class_ids = np.argmax(scores, axis=1)
+        scores = scores[np.arange(N), class_ids]
+
+        args_best = np.argwhere(scores > self.thresh)[:, 0]
+
+        num_matches = len(args_best)
+        if num_matches == 0:
+            return np.zeros((20, 6), np.float32)
+        elif num_matches > 20:
+            args_best20 = np.argpartition(scores[args_best], -20)[-20:]
+            args_best = args_best[args_best20]
+
+        boxes = boxes[args_best]
+        class_ids = class_ids[args_best]
+        scores = scores[args_best]
+
+        boxes = np.transpose(
+            np.vstack(
+                (
+                    boxes[:, 1] / self.height,
+                    boxes[:, 0] / self.width,
+                    boxes[:, 3] / self.height,
+                    boxes[:, 2] / self.width,
+                )
+            )
+        )
+
+        results = np.hstack(
+            (class_ids[..., np.newaxis], scores[..., np.newaxis], boxes)
+        )
+
+        return np.resize(results, (20, 6))
+
+    def post_process_yolox(
+        self,
+        predictions: list[np.ndarray],
+        grids: np.ndarray,
+        expanded_strides: np.ndarray,
+    ) -> np.ndarray:
+        def sp_flatten(_in: np.ndarray):
+            ch = _in.shape[1]
+            _in = _in.transpose(0, 2, 3, 1)
+            return _in.reshape(-1, ch)
+
+        boxes, scores, classes_conf = [], [], []
+
+        input_data = [
+            _in.reshape([1, -1] + list(_in.shape[-2:])) for _in in predictions
+        ]
+
+        for i in range(len(input_data)):
+            unprocessed_box = input_data[i][:, :4, :, :]
+            box_xy = unprocessed_box[:, :2, :, :]
+            box_wh = np.exp(unprocessed_box[:, 2:4, :, :]) * expanded_strides[i]
+
+            box_xy += grids[i]
+            box_xy *= expanded_strides[i]
+            box = np.concatenate((box_xy, box_wh), axis=1)
+
+            # Convert [c_x, c_y, w, h] to [x1, y1, x2, y2]
+            xyxy = np.copy(box)
+            xyxy[:, 0, :, :] = box[:, 0, :, :] - box[:, 2, :, :] / 2  # top left x
+            xyxy[:, 1, :, :] = box[:, 1, :, :] - box[:, 3, :, :] / 2  # top left y
+            xyxy[:, 2, :, :] = box[:, 0, :, :] + box[:, 2, :, :] / 2  # bottom right x
+            xyxy[:, 3, :, :] = box[:, 1, :, :] + box[:, 3, :, :] / 2  # bottom right y
+
+            boxes.append(xyxy)
+            scores.append(input_data[i][:, 4:5, :, :])
+            classes_conf.append(input_data[i][:, 5:, :, :])
+
+        # flatten data
+        boxes = np.concatenate([sp_flatten(_v) for _v in boxes])
+        classes_conf = np.concatenate([sp_flatten(_v) for _v in classes_conf])
+        scores = np.concatenate([sp_flatten(_v) for _v in scores])
+
+        # reshape and filter boxes
+        box_confidences = scores.reshape(-1)
+        class_max_score = np.max(classes_conf, axis=-1)
+        classes = np.argmax(classes_conf, axis=-1)
+        _class_pos = np.where(class_max_score * box_confidences >= 0.4)
+        scores = (class_max_score * box_confidences)[_class_pos]
+        boxes = boxes[_class_pos]
+        classes = classes[_class_pos]
+
+        # run nms
+        indices = cv2.dnn.NMSBoxes(
+            bboxes=boxes,
+            scores=scores,
+            score_threshold=0.4,
+            nms_threshold=0.4,
+        )
+
+        results = np.zeros((20, 6), np.float32)
+
+        if len(indices) > 0:
+            for i, idx in enumerate(indices.flatten()[:20]):
+                box = boxes[idx]
+                results[i] = [
+                    classes[idx],
+                    scores[idx],
+                    box[1] / self.height,
+                    box[0] / self.width,
+                    box[3] / self.height,
+                    box[2] / self.width,
+                ]
+
+        return results
+
+    def post_process(self, output):
+        if self.detector_config.model.model_type == ModelTypeEnum.yolonas:
+            return self.post_process_yolonas(output)
+        elif self.detector_config.model.model_type == ModelTypeEnum.yologeneric:
+            return post_process_yolo(output, self.width, self.height)
+        elif self.detector_config.model.model_type == ModelTypeEnum.yolox:
+            return self.post_process_yolox(output, self.grids, self.expanded_strides)
+        else:
+            raise ValueError(
+                f'Model type "{self.detector_config.model.model_type}" is currently not supported.'
             )
 
     def detect_raw(self, tensor_input):
diff --git a/frigate/detectors/plugins/rocm.py b/frigate/detectors/plugins/rocm.py
deleted file mode 100644
index 60118d129..000000000
--- a/frigate/detectors/plugins/rocm.py
+++ /dev/null
@@ -1,169 +0,0 @@
-import ctypes
-import logging
-import os
-import subprocess
-import sys
-
-import cv2
-import numpy as np
-from pydantic import Field
-from typing_extensions import Literal
-
-from frigate.detectors.detection_api import DetectionApi
-from frigate.detectors.detector_config import (
-    BaseDetectorConfig,
-    ModelTypeEnum,
-    PixelFormatEnum,
-)
-
-logger = logging.getLogger(__name__)
-
-DETECTOR_KEY = "rocm"
-
-
-def detect_gfx_version():
-    return subprocess.getoutput(
-        "unset HSA_OVERRIDE_GFX_VERSION && /opt/rocm/bin/rocminfo | grep gfx |head -1|awk '{print $2}'"
-    )
-
-
-def auto_override_gfx_version():
-    # If environment variable already in place, do not override
-    gfx_version = detect_gfx_version()
-    old_override = os.getenv("HSA_OVERRIDE_GFX_VERSION")
-    if old_override not in (None, ""):
-        logger.warning(
-            f"AMD/ROCm: detected {gfx_version} but HSA_OVERRIDE_GFX_VERSION already present ({old_override}), not overriding!"
-        )
-        return old_override
-    mapping = {
-        "gfx90c": "9.0.0",
-        "gfx1031": "10.3.0",
-        "gfx1103": "11.0.0",
-    }
-    override = mapping.get(gfx_version)
-    if override is not None:
-        logger.warning(
-            f"AMD/ROCm: detected {gfx_version}, overriding HSA_OVERRIDE_GFX_VERSION={override}"
-        )
-        os.putenv("HSA_OVERRIDE_GFX_VERSION", override)
-        return override
-    return ""
-
-
-class ROCmDetectorConfig(BaseDetectorConfig):
-    type: Literal[DETECTOR_KEY]
-    conserve_cpu: bool = Field(
-        default=True,
-        title="Conserve CPU at the expense of latency (and reduced max throughput)",
-    )
-    auto_override_gfx: bool = Field(
-        default=True, title="Automatically detect and override gfx version"
-    )
-
-
-class ROCmDetector(DetectionApi):
-    type_key = DETECTOR_KEY
-
-    def __init__(self, detector_config: ROCmDetectorConfig):
-        if detector_config.auto_override_gfx:
-            auto_override_gfx_version()
-
-        try:
-            sys.path.append("/opt/rocm/lib")
-            import migraphx
-
-            logger.info("AMD/ROCm: loaded migraphx module")
-        except ModuleNotFoundError:
-            logger.error("AMD/ROCm: module loading failed, missing ROCm environment?")
-            raise
-
-        if detector_config.conserve_cpu:
-            logger.info("AMD/ROCm: switching HIP to blocking mode to conserve CPU")
-            ctypes.CDLL("/opt/rocm/lib/libamdhip64.so").hipSetDeviceFlags(4)
-
-        self.h = detector_config.model.height
-        self.w = detector_config.model.width
-        self.rocm_model_type = detector_config.model.model_type
-        self.rocm_model_px = detector_config.model.input_pixel_format
-        path = detector_config.model.path
-
-        mxr_path = os.path.splitext(path)[0] + ".mxr"
-        if path.endswith(".mxr"):
-            logger.info(f"AMD/ROCm: loading parsed model from {mxr_path}")
-            self.model = migraphx.load(mxr_path)
-        elif os.path.exists(mxr_path):
-            logger.info(f"AMD/ROCm: loading parsed model from {mxr_path}")
-            self.model = migraphx.load(mxr_path)
-        else:
-            logger.info(f"AMD/ROCm: loading model from {path}")
-
-            if (
-                path.endswith(".tf")
-                or path.endswith(".tf2")
-                or path.endswith(".tflite")
-            ):
-                # untested
-                self.model = migraphx.parse_tf(path)
-            else:
-                self.model = migraphx.parse_onnx(path)
-
-            logger.info("AMD/ROCm: compiling the model")
-
-            self.model.compile(
-                migraphx.get_target("gpu"), offload_copy=True, fast_math=True
-            )
-
-            logger.info(f"AMD/ROCm: saving parsed model into {mxr_path}")
-
-            os.makedirs("/config/model_cache/rocm", exist_ok=True)
-            migraphx.save(self.model, mxr_path)
-
-        logger.info("AMD/ROCm: model loaded")
-
-    def detect_raw(self, tensor_input):
-        model_input_name = self.model.get_parameter_names()[0]
-        model_input_shape = tuple(
-            self.model.get_parameter_shapes()[model_input_name].lens()
-        )
-
-        tensor_input = cv2.dnn.blobFromImage(
-            tensor_input[0],
-            1.0,
-            (model_input_shape[3], model_input_shape[2]),
-            None,
-            swapRB=self.rocm_model_px == PixelFormatEnum.bgr,
-        ).astype(np.uint8)
-
-        detector_result = self.model.run({model_input_name: tensor_input})[0]
-        addr = ctypes.cast(detector_result.data_ptr(), ctypes.POINTER(ctypes.c_float))
-
-        tensor_output = np.ctypeslib.as_array(
-            addr, shape=detector_result.get_shape().lens()
-        )
-
-        if self.rocm_model_type == ModelTypeEnum.yolonas:
-            predictions = tensor_output
-
-            detections = np.zeros((20, 6), np.float32)
-
-            for i, prediction in enumerate(predictions):
-                if i == 20:
-                    break
-                (_, x_min, y_min, x_max, y_max, confidence, class_id) = prediction
-                # when running in GPU mode, empty predictions in the output have class_id of -1
-                if class_id < 0:
-                    break
-                detections[i] = [
-                    class_id,
-                    confidence,
-                    y_min / self.h,
-                    x_min / self.w,
-                    y_max / self.h,
-                    x_max / self.w,
-                ]
-            return detections
-        else:
-            raise Exception(
-                f"{self.rocm_model_type} is currently not supported for rocm. See the docs for more info on supported models."
-            )
diff --git a/frigate/detectors/plugins/tensorrt.py b/frigate/detectors/plugins/tensorrt.py
index de5459c6d..bf0eb6fa8 100644
--- a/frigate/detectors/plugins/tensorrt.py
+++ b/frigate/detectors/plugins/tensorrt.py
@@ -1,5 +1,6 @@
 import ctypes
 import logging
+import platform
 
 import numpy as np
 
@@ -219,6 +220,14 @@ class TensorRtDetector(DetectionApi):
         ]
 
     def __init__(self, detector_config: TensorRTDetectorConfig):
+        if platform.machine() == "x86_64":
+            logger.error(
+                "TensorRT detector is no longer supported on amd64 system. Please use ONNX detector instead, see https://docs.frigate.video/configuration/object_detectors#onnx for more information."
+            )
+            raise ImportError(
+                "TensorRT detector is no longer supported on amd64 system. Please use ONNX detector instead, see https://docs.frigate.video/configuration/object_detectors#onnx for more information."
+            )
+
         assert TRT_SUPPORT, (
             f"TensorRT libraries not found, {DETECTOR_KEY} detector not present"
         )
diff --git a/frigate/embeddings/__init__.py b/frigate/embeddings/__init__.py
index 7f2e1a10c..fbdc8d940 100644
--- a/frigate/embeddings/__init__.py
+++ b/frigate/embeddings/__init__.py
@@ -1,21 +1,26 @@
 """SQLite-vec embeddings database."""
 
+import base64
 import json
 import logging
 import multiprocessing as mp
 import os
 import signal
 import threading
+from json.decoder import JSONDecodeError
 from types import FrameType
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
+import regex
+from pathvalidate import ValidationError, sanitize_filename
 from setproctitle import setproctitle
 
 from frigate.comms.embeddings_updater import EmbeddingsRequestEnum, EmbeddingsRequestor
 from frigate.config import FrigateConfig
-from frigate.const import CONFIG_DIR
+from frigate.const import CONFIG_DIR, FACE_DIR
+from frigate.data_processing.types import DataProcessorMetrics
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
-from frigate.models import Event
+from frigate.models import Event, Recordings
 from frigate.util.builtin import serialize
 from frigate.util.services import listen
 
@@ -25,11 +30,7 @@ from .util import ZScoreNormalization
 logger = logging.getLogger(__name__)
 
 
-def manage_embeddings(config: FrigateConfig) -> None:
-    # Only initialize embeddings if semantic search is enabled
-    if not config.semantic_search.enabled:
-        return
-
+def manage_embeddings(config: FrigateConfig, metrics: DataProcessorMetrics) -> None:
     stop_event = mp.Event()
 
     def receiveSignal(signalNumber: int, frame: Optional[FrameType]) -> None:
@@ -53,12 +54,13 @@ def manage_embeddings(config: FrigateConfig) -> None:
         timeout=max(60, 10 * len([c for c in config.cameras.values() if c.enabled])),
         load_vec_extension=True,
     )
-    models = [Event]
+    models = [Event, Recordings]
     db.bind(models)
 
     maintainer = EmbeddingMaintainer(
         db,
         config,
+        metrics,
         stop_event,
     )
     maintainer.start()
@@ -72,13 +74,21 @@ class EmbeddingsContext:
         self.requestor = EmbeddingsRequestor()
 
         # load stats from disk
+        stats_file = os.path.join(CONFIG_DIR, ".search_stats.json")
         try:
-            with open(os.path.join(CONFIG_DIR, ".search_stats.json"), "r") as f:
+            with open(stats_file, "r") as f:
                 data = json.loads(f.read())
                 self.thumb_stats.from_dict(data["thumb_stats"])
                 self.desc_stats.from_dict(data["desc_stats"])
         except FileNotFoundError:
             pass
+        except JSONDecodeError:
+            logger.warning("Failed to decode semantic search stats, clearing file")
+            try:
+                with open(stats_file, "w") as f:
+                    f.write("")
+            except OSError as e:
+                logger.error(f"Failed to clear corrupted stats file: {e}")
 
     def stop(self):
         """Write the stats to disk as JSON on exit."""
@@ -189,8 +199,104 @@ class EmbeddingsContext:
 
         return results
 
+    def register_face(self, face_name: str, image_data: bytes) -> dict[str, Any]:
+        return self.requestor.send_data(
+            EmbeddingsRequestEnum.register_face.value,
+            {
+                "face_name": face_name,
+                "image": base64.b64encode(image_data).decode("ASCII"),
+            },
+        )
+
+    def recognize_face(self, image_data: bytes) -> dict[str, Any]:
+        return self.requestor.send_data(
+            EmbeddingsRequestEnum.recognize_face.value,
+            {
+                "image": base64.b64encode(image_data).decode("ASCII"),
+            },
+        )
+
+    def get_face_ids(self, name: str) -> list[str]:
+        sql_query = f"""
+            SELECT
+                id
+            FROM vec_descriptions
+            WHERE id LIKE '%{name}%'
+        """
+
+        return self.db.execute_sql(sql_query).fetchall()
+
+    def reprocess_face(self, face_file: str) -> dict[str, Any]:
+        return self.requestor.send_data(
+            EmbeddingsRequestEnum.reprocess_face.value, {"image_file": face_file}
+        )
+
+    def clear_face_classifier(self) -> None:
+        self.requestor.send_data(
+            EmbeddingsRequestEnum.clear_face_classifier.value, None
+        )
+
+    def delete_face_ids(self, face: str, ids: list[str]) -> None:
+        folder = os.path.join(FACE_DIR, face)
+        for id in ids:
+            file_path = os.path.join(folder, id)
+
+            if os.path.isfile(file_path):
+                os.unlink(file_path)
+
+        if face != "train" and len(os.listdir(folder)) == 0:
+            os.rmdir(folder)
+
+        self.requestor.send_data(
+            EmbeddingsRequestEnum.clear_face_classifier.value, None
+        )
+
+    def rename_face(self, old_name: str, new_name: str) -> None:
+        valid_name_pattern = r"^[\p{L}\p{N}\s'_-]{1,50}$"
+
+        try:
+            sanitized_old_name = sanitize_filename(old_name, replacement_text="_")
+            sanitized_new_name = sanitize_filename(new_name, replacement_text="_")
+        except ValidationError as e:
+            raise ValueError(f"Invalid face name: {str(e)}")
+
+        if not regex.match(valid_name_pattern, old_name):
+            raise ValueError(f"Invalid old face name: {old_name}")
+        if not regex.match(valid_name_pattern, new_name):
+            raise ValueError(f"Invalid new face name: {new_name}")
+        if sanitized_old_name != old_name:
+            raise ValueError(f"Old face name contains invalid characters: {old_name}")
+        if sanitized_new_name != new_name:
+            raise ValueError(f"New face name contains invalid characters: {new_name}")
+
+        old_path = os.path.normpath(os.path.join(FACE_DIR, old_name))
+        new_path = os.path.normpath(os.path.join(FACE_DIR, new_name))
+
+        # Prevent path traversal
+        if not old_path.startswith(
+            os.path.normpath(FACE_DIR)
+        ) or not new_path.startswith(os.path.normpath(FACE_DIR)):
+            raise ValueError("Invalid path detected")
+
+        if not os.path.exists(old_path):
+            raise ValueError(f"Face {old_name} not found.")
+
+        os.rename(old_path, new_path)
+
+        self.requestor.send_data(
+            EmbeddingsRequestEnum.clear_face_classifier.value, None
+        )
+
     def update_description(self, event_id: str, description: str) -> None:
         self.requestor.send_data(
             EmbeddingsRequestEnum.embed_description.value,
             {"id": event_id, "description": description},
         )
+
+    def reprocess_plate(self, event: dict[str, Any]) -> dict[str, Any]:
+        return self.requestor.send_data(
+            EmbeddingsRequestEnum.reprocess_plate.value, {"event": event}
+        )
+
+    def reindex_embeddings(self) -> dict[str, Any]:
+        return self.requestor.send_data(EmbeddingsRequestEnum.reindex.value, {})
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index d77a9eecf..833ab9ab2 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -1,26 +1,33 @@
 """SQLite-vec embeddings database."""
 
-import base64
+import datetime
+import io
 import logging
 import os
+import threading
 import time
 
 from numpy import ndarray
+from PIL import Image
 from playhouse.shortcuts import model_to_dict
 
 from frigate.comms.inter_process import InterProcessRequestor
-from frigate.config.semantic_search import SemanticSearchConfig
+from frigate.config import FrigateConfig
+from frigate.config.classification import SemanticSearchModelEnum
 from frigate.const import (
     CONFIG_DIR,
     UPDATE_EMBEDDINGS_REINDEX_PROGRESS,
     UPDATE_MODEL_STATE,
 )
+from frigate.data_processing.types import DataProcessorMetrics
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event
 from frigate.types import ModelStatusTypesEnum
-from frigate.util.builtin import serialize
+from frigate.util.builtin import EventsPerSecond, InferenceSpeed, serialize
+from frigate.util.path import get_event_thumbnail_bytes
 
-from .functions.onnx import GenericONNXEmbedding, ModelTypeEnum
+from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
+from .onnx.jina_v2_embedding import JinaV2Embedding
 
 logger = logging.getLogger(__name__)
 
@@ -60,23 +67,31 @@ class Embeddings:
     """SQLite-vec embeddings database."""
 
     def __init__(
-        self, config: SemanticSearchConfig, db: SqliteVecQueueDatabase
+        self,
+        config: FrigateConfig,
+        db: SqliteVecQueueDatabase,
+        metrics: DataProcessorMetrics,
     ) -> None:
         self.config = config
         self.db = db
+        self.metrics = metrics
         self.requestor = InterProcessRequestor()
 
+        self.image_inference_speed = InferenceSpeed(self.metrics.image_embeddings_speed)
+        self.image_eps = EventsPerSecond()
+        self.image_eps.start()
+        self.text_inference_speed = InferenceSpeed(self.metrics.text_embeddings_speed)
+        self.text_eps = EventsPerSecond()
+        self.text_eps.start()
+
+        self.reindex_lock = threading.Lock()
+        self.reindex_thread = None
+        self.reindex_running = False
+
         # Create tables if they don't exist
         self.db.create_embeddings_tables()
 
-        models = [
-            "jinaai/jina-clip-v1-text_model_fp16.onnx",
-            "jinaai/jina-clip-v1-tokenizer",
-            "jinaai/jina-clip-v1-vision_model_fp16.onnx"
-            if config.model_size == "large"
-            else "jinaai/jina-clip-v1-vision_model_quantized.onnx",
-            "jinaai/jina-clip-v1-preprocessor_config.json",
-        ]
+        models = self.get_model_definitions()
 
         for model in models:
             self.requestor.send_data(
@@ -87,39 +102,68 @@ class Embeddings:
                 },
             )
 
-        self.text_embedding = GenericONNXEmbedding(
-            model_name="jinaai/jina-clip-v1",
-            model_file="text_model_fp16.onnx",
-            tokenizer_file="tokenizer",
-            download_urls={
-                "text_model_fp16.onnx": "https://huggingface.co/jinaai/jina-clip-v1/resolve/main/onnx/text_model_fp16.onnx",
-            },
-            model_size=config.model_size,
-            model_type=ModelTypeEnum.text,
-            requestor=self.requestor,
-            device="CPU",
+        if self.config.semantic_search.model == SemanticSearchModelEnum.jinav2:
+            # Single JinaV2Embedding instance for both text and vision
+            self.embedding = JinaV2Embedding(
+                model_size=self.config.semantic_search.model_size,
+                requestor=self.requestor,
+                device="GPU"
+                if self.config.semantic_search.model_size == "large"
+                else "CPU",
+            )
+            self.text_embedding = lambda input_data: self.embedding(
+                input_data, embedding_type="text"
+            )
+            self.vision_embedding = lambda input_data: self.embedding(
+                input_data, embedding_type="vision"
+            )
+        else:  # Default to jinav1
+            self.text_embedding = JinaV1TextEmbedding(
+                model_size=config.semantic_search.model_size,
+                requestor=self.requestor,
+                device="CPU",
+            )
+            self.vision_embedding = JinaV1ImageEmbedding(
+                model_size=config.semantic_search.model_size,
+                requestor=self.requestor,
+                device="GPU" if config.semantic_search.model_size == "large" else "CPU",
+            )
+
+    def update_stats(self) -> None:
+        self.metrics.image_embeddings_eps.value = self.image_eps.eps()
+        self.metrics.text_embeddings_eps.value = self.text_eps.eps()
+
+    def get_model_definitions(self):
+        # Version-specific models
+        if self.config.semantic_search.model == SemanticSearchModelEnum.jinav2:
+            models = [
+                "jinaai/jina-clip-v2-tokenizer",
+                "jinaai/jina-clip-v2-model_fp16.onnx"
+                if self.config.semantic_search.model_size == "large"
+                else "jinaai/jina-clip-v2-model_quantized.onnx",
+                "jinaai/jina-clip-v2-preprocessor_config.json",
+            ]
+        else:  # Default to jinav1
+            models = [
+                "jinaai/jina-clip-v1-text_model_fp16.onnx",
+                "jinaai/jina-clip-v1-tokenizer",
+                "jinaai/jina-clip-v1-vision_model_fp16.onnx"
+                if self.config.semantic_search.model_size == "large"
+                else "jinaai/jina-clip-v1-vision_model_quantized.onnx",
+                "jinaai/jina-clip-v1-preprocessor_config.json",
+            ]
+
+        # Add common models
+        models.extend(
+            [
+                "facenet-facenet.onnx",
+                "paddleocr-onnx-detection.onnx",
+                "paddleocr-onnx-classification.onnx",
+                "paddleocr-onnx-recognition.onnx",
+            ]
         )
 
-        model_file = (
-            "vision_model_fp16.onnx"
-            if self.config.model_size == "large"
-            else "vision_model_quantized.onnx"
-        )
-
-        download_urls = {
-            model_file: f"https://huggingface.co/jinaai/jina-clip-v1/resolve/main/onnx/{model_file}",
-            "preprocessor_config.json": "https://huggingface.co/jinaai/jina-clip-v1/resolve/main/preprocessor_config.json",
-        }
-
-        self.vision_embedding = GenericONNXEmbedding(
-            model_name="jinaai/jina-clip-v1",
-            model_file=model_file,
-            download_urls=download_urls,
-            model_size=config.model_size,
-            model_type=ModelTypeEnum.vision,
-            requestor=self.requestor,
-            device="GPU" if config.model_size == "large" else "CPU",
-        )
+        return models
 
     def embed_thumbnail(
         self, event_id: str, thumbnail: bytes, upsert: bool = True
@@ -130,6 +174,7 @@ class Embeddings:
         @param: thumbnail bytes in jpg format
         @param: upsert If embedding should be upserted into vec DB
         """
+        start = datetime.datetime.now().timestamp()
         # Convert thumbnail bytes to PIL Image
         embedding = self.vision_embedding([thumbnail])[0]
 
@@ -142,6 +187,9 @@ class Embeddings:
                 (event_id, serialize(embedding)),
             )
 
+        self.image_inference_speed.update(datetime.datetime.now().timestamp() - start)
+        self.image_eps.update()
+
         return embedding
 
     def batch_embed_thumbnail(
@@ -152,29 +200,52 @@ class Embeddings:
         @param: event_thumbs Map of Event IDs in DB to thumbnail bytes in jpg format
         @param: upsert If embedding should be upserted into vec DB
         """
-        ids = list(event_thumbs.keys())
-        embeddings = self.vision_embedding(list(event_thumbs.values()))
+        start = datetime.datetime.now().timestamp()
+        valid_ids = []
+        valid_thumbs = []
+        for eid, thumb in event_thumbs.items():
+            try:
+                img = Image.open(io.BytesIO(thumb))
+                img.verify()  # Will raise if corrupt
+                valid_ids.append(eid)
+                valid_thumbs.append(thumb)
+            except Exception as e:
+                logger.warning(
+                    f"Embeddings reindexing: Skipping corrupt thumbnail for event {eid}: {e}"
+                )
+
+        if not valid_thumbs:
+            logger.warning(
+                "Embeddings reindexing: No valid thumbnails to embed in this batch."
+            )
+            return []
+
+        embeddings = self.vision_embedding(valid_thumbs)
 
         if upsert:
             items = []
-
-            for i in range(len(ids)):
-                items.append(ids[i])
+            for i in range(len(valid_ids)):
+                items.append(valid_ids[i])
                 items.append(serialize(embeddings[i]))
+                self.image_eps.update()
 
             self.db.execute_sql(
                 """
                 INSERT OR REPLACE INTO vec_thumbnails(id, thumbnail_embedding)
                 VALUES {}
-                """.format(", ".join(["(?, ?)"] * len(ids))),
+                """.format(", ".join(["(?, ?)"] * len(valid_ids))),
                 items,
             )
 
+        duration = datetime.datetime.now().timestamp() - start
+        self.text_inference_speed.update(duration / len(valid_ids))
+
         return embeddings
 
     def embed_description(
         self, event_id: str, description: str, upsert: bool = True
     ) -> ndarray:
+        start = datetime.datetime.now().timestamp()
         embedding = self.text_embedding([description])[0]
 
         if upsert:
@@ -186,11 +257,15 @@ class Embeddings:
                 (event_id, serialize(embedding)),
             )
 
+        self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
+        self.text_eps.update()
+
         return embedding
 
     def batch_embed_description(
         self, event_descriptions: dict[str, str], upsert: bool = True
     ) -> ndarray:
+        start = datetime.datetime.now().timestamp()
         # upsert embeddings one by one to avoid token limit
         embeddings = []
 
@@ -204,6 +279,7 @@ class Embeddings:
             for i in range(len(ids)):
                 items.append(ids[i])
                 items.append(serialize(embeddings[i]))
+                self.text_eps.update()
 
             self.db.execute_sql(
                 """
@@ -213,6 +289,8 @@ class Embeddings:
                 items,
             )
 
+        self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
+
         return embeddings
 
     def reindex(self) -> None:
@@ -230,16 +308,13 @@ class Embeddings:
         st = time.time()
 
         # Get total count of events to process
-        total_events = (
-            Event.select()
-            .where(
-                (Event.has_clip == True | Event.has_snapshot == True)
-                & Event.thumbnail.is_null(False)
-            )
-            .count()
-        )
+        total_events = Event.select().count()
 
-        batch_size = 32
+        batch_size = (
+            4
+            if self.config.semantic_search.model == SemanticSearchModelEnum.jinav2
+            else 32
+        )
         current_page = 1
 
         totals = {
@@ -255,30 +330,28 @@ class Embeddings:
 
         events = (
             Event.select()
-            .where(
-                (Event.has_clip == True | Event.has_snapshot == True)
-                & Event.thumbnail.is_null(False)
-            )
             .order_by(Event.start_time.desc())
             .paginate(current_page, batch_size)
         )
 
-        while len(events) > 0:
+        while events:
             event: Event
             batch_thumbs = {}
             batch_descs = {}
             for event in events:
-                batch_thumbs[event.id] = base64.b64decode(event.thumbnail)
-                totals["thumbnails"] += 1
+                totals["processed_objects"] += 1
 
                 if description := event.data.get("description", "").strip():
                     batch_descs[event.id] = description
                     totals["descriptions"] += 1
 
-                totals["processed_objects"] += 1
+                if thumbnail := get_event_thumbnail_bytes(event):
+                    batch_thumbs[event.id] = thumbnail
+                    totals["thumbnails"] += 1
 
             # run batch embedding
-            self.batch_embed_thumbnail(batch_thumbs)
+            if batch_thumbs:
+                self.batch_embed_thumbnail(batch_thumbs)
 
             if batch_descs:
                 self.batch_embed_description(batch_descs)
@@ -307,10 +380,6 @@ class Embeddings:
             current_page += 1
             events = (
                 Event.select()
-                .where(
-                    (Event.has_clip == True | Event.has_snapshot == True)
-                    & Event.thumbnail.is_null(False)
-                )
                 .order_by(Event.start_time.desc())
                 .paginate(current_page, batch_size)
             )
@@ -324,3 +393,27 @@ class Embeddings:
         totals["status"] = "completed"
 
         self.requestor.send_data(UPDATE_EMBEDDINGS_REINDEX_PROGRESS, totals)
+
+    def start_reindex(self) -> bool:
+        """Start reindexing in a separate thread if not already running."""
+        with self.reindex_lock:
+            if self.reindex_running:
+                logger.warning("Reindex embeddings is already running.")
+                return False
+
+            # Mark as running and start the thread
+            self.reindex_running = True
+            self.reindex_thread = threading.Thread(
+                target=self._reindex_wrapper, daemon=True
+            )
+            self.reindex_thread.start()
+            return True
+
+    def _reindex_wrapper(self) -> None:
+        """Wrapper to run reindex and reset running flag when done."""
+        try:
+            self.reindex()
+        finally:
+            with self.reindex_lock:
+                self.reindex_running = False
+                self.reindex_thread = None
diff --git a/frigate/embeddings/functions/onnx.py b/frigate/embeddings/functions/onnx.py
deleted file mode 100644
index 6ea495a30..000000000
--- a/frigate/embeddings/functions/onnx.py
+++ /dev/null
@@ -1,216 +0,0 @@
-import logging
-import os
-import warnings
-from enum import Enum
-from io import BytesIO
-from typing import Dict, List, Optional, Union
-
-import numpy as np
-import requests
-from PIL import Image
-
-# importing this without pytorch or others causes a warning
-# https://github.com/huggingface/transformers/issues/27214
-# suppressed by setting env TRANSFORMERS_NO_ADVISORY_WARNINGS=1
-from transformers import AutoFeatureExtractor, AutoTokenizer
-from transformers.utils.logging import disable_progress_bar
-
-from frigate.comms.inter_process import InterProcessRequestor
-from frigate.const import MODEL_CACHE_DIR, UPDATE_MODEL_STATE
-from frigate.types import ModelStatusTypesEnum
-from frigate.util.downloader import ModelDownloader
-from frigate.util.model import ONNXModelRunner
-
-warnings.filterwarnings(
-    "ignore",
-    category=FutureWarning,
-    message="The class CLIPFeatureExtractor is deprecated",
-)
-
-# disables the progress bar for downloading tokenizers and feature extractors
-disable_progress_bar()
-logger = logging.getLogger(__name__)
-
-
-class ModelTypeEnum(str, Enum):
-    face = "face"
-    vision = "vision"
-    text = "text"
-
-
-class GenericONNXEmbedding:
-    """Generic embedding function for ONNX models (text and vision)."""
-
-    def __init__(
-        self,
-        model_name: str,
-        model_file: str,
-        download_urls: Dict[str, str],
-        model_size: str,
-        model_type: str,
-        requestor: InterProcessRequestor,
-        tokenizer_file: Optional[str] = None,
-        device: str = "AUTO",
-    ):
-        self.model_name = model_name
-        self.model_file = model_file
-        self.tokenizer_file = tokenizer_file
-        self.requestor = requestor
-        self.download_urls = download_urls
-        self.model_type = model_type  # 'text' or 'vision'
-        self.model_size = model_size
-        self.device = device
-        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
-        self.tokenizer = None
-        self.feature_extractor = None
-        self.runner = None
-        files_names = list(self.download_urls.keys()) + (
-            [self.tokenizer_file] if self.tokenizer_file else []
-        )
-
-        if not all(
-            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
-        ):
-            logger.debug(f"starting model download for {self.model_name}")
-            self.downloader = ModelDownloader(
-                model_name=self.model_name,
-                download_path=self.download_path,
-                file_names=files_names,
-                download_func=self._download_model,
-            )
-            self.downloader.ensure_model_files()
-        else:
-            self.downloader = None
-            ModelDownloader.mark_files_state(
-                self.requestor,
-                self.model_name,
-                files_names,
-                ModelStatusTypesEnum.downloaded,
-            )
-            self._load_model_and_tokenizer()
-            logger.debug(f"models are already downloaded for {self.model_name}")
-
-    def _download_model(self, path: str):
-        try:
-            file_name = os.path.basename(path)
-            if file_name in self.download_urls:
-                ModelDownloader.download_from_url(self.download_urls[file_name], path)
-            elif (
-                file_name == self.tokenizer_file
-                and self.model_type == ModelTypeEnum.text
-            ):
-                if not os.path.exists(path + "/" + self.model_name):
-                    logger.info(f"Downloading {self.model_name} tokenizer")
-                tokenizer = AutoTokenizer.from_pretrained(
-                    self.model_name,
-                    trust_remote_code=True,
-                    cache_dir=f"{MODEL_CACHE_DIR}/{self.model_name}/tokenizer",
-                    clean_up_tokenization_spaces=True,
-                )
-                tokenizer.save_pretrained(path)
-
-            self.downloader.requestor.send_data(
-                UPDATE_MODEL_STATE,
-                {
-                    "model": f"{self.model_name}-{file_name}",
-                    "state": ModelStatusTypesEnum.downloaded,
-                },
-            )
-        except Exception:
-            self.downloader.requestor.send_data(
-                UPDATE_MODEL_STATE,
-                {
-                    "model": f"{self.model_name}-{file_name}",
-                    "state": ModelStatusTypesEnum.error,
-                },
-            )
-
-    def _load_model_and_tokenizer(self):
-        if self.runner is None:
-            if self.downloader:
-                self.downloader.wait_for_download()
-            if self.model_type == ModelTypeEnum.text:
-                self.tokenizer = self._load_tokenizer()
-            else:
-                self.feature_extractor = self._load_feature_extractor()
-            self.runner = ONNXModelRunner(
-                os.path.join(self.download_path, self.model_file),
-                self.device,
-                self.model_size,
-            )
-
-    def _load_tokenizer(self):
-        tokenizer_path = os.path.join(f"{MODEL_CACHE_DIR}/{self.model_name}/tokenizer")
-        return AutoTokenizer.from_pretrained(
-            self.model_name,
-            cache_dir=tokenizer_path,
-            trust_remote_code=True,
-            clean_up_tokenization_spaces=True,
-        )
-
-    def _load_feature_extractor(self):
-        return AutoFeatureExtractor.from_pretrained(
-            f"{MODEL_CACHE_DIR}/{self.model_name}",
-        )
-
-    def _preprocess_inputs(self, raw_inputs: any) -> any:
-        if self.model_type == ModelTypeEnum.text:
-            max_length = max(len(self.tokenizer.encode(text)) for text in raw_inputs)
-            return [
-                self.tokenizer(
-                    text,
-                    padding="max_length",
-                    truncation=True,
-                    max_length=max_length,
-                    return_tensors="np",
-                )
-                for text in raw_inputs
-            ]
-        elif self.model_type == ModelTypeEnum.vision:
-            processed_images = [self._process_image(img) for img in raw_inputs]
-            return [
-                self.feature_extractor(images=image, return_tensors="np")
-                for image in processed_images
-            ]
-        else:
-            raise ValueError(f"Unable to preprocess inputs for {self.model_type}")
-
-    def _process_image(self, image):
-        if isinstance(image, str):
-            if image.startswith("http"):
-                response = requests.get(image)
-                image = Image.open(BytesIO(response.content)).convert("RGB")
-        elif isinstance(image, bytes):
-            image = Image.open(BytesIO(image)).convert("RGB")
-
-        return image
-
-    def __call__(
-        self, inputs: Union[List[str], List[Image.Image], List[str]]
-    ) -> List[np.ndarray]:
-        self._load_model_and_tokenizer()
-        if self.runner is None or (
-            self.tokenizer is None and self.feature_extractor is None
-        ):
-            logger.error(
-                f"{self.model_name} model or tokenizer/feature extractor is not loaded."
-            )
-            return []
-
-        processed_inputs = self._preprocess_inputs(inputs)
-        input_names = self.runner.get_input_names()
-        onnx_inputs = {name: [] for name in input_names}
-        input: dict[str, any]
-        for input in processed_inputs:
-            for key, value in input.items():
-                if key in input_names:
-                    onnx_inputs[key].append(value[0])
-
-        for key in input_names:
-            if onnx_inputs.get(key):
-                onnx_inputs[key] = np.stack(onnx_inputs[key])
-            else:
-                logger.warning(f"Expected input '{key}' not found in onnx_inputs")
-
-        embeddings = self.runner.run(onnx_inputs)[0]
-        return [embedding for embedding in embeddings]
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index 341a2e25d..86bc75737 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -1,33 +1,63 @@
 """Maintain embeddings in SQLite-vec."""
 
 import base64
+import datetime
 import logging
 import os
 import threading
 from multiprocessing.synchronize import Event as MpEvent
 from pathlib import Path
-from typing import Optional
+from typing import Any, Optional
 
 import cv2
 import numpy as np
 from peewee import DoesNotExist
 from playhouse.sqliteq import SqliteQueueDatabase
 
+from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
 from frigate.comms.embeddings_updater import EmbeddingsRequestEnum, EmbeddingsResponder
 from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
     EventMetadataSubscriber,
     EventMetadataTypeEnum,
 )
 from frigate.comms.events_updater import EventEndSubscriber, EventUpdateSubscriber
 from frigate.comms.inter_process import InterProcessRequestor
+from frigate.comms.recordings_updater import (
+    RecordingsDataSubscriber,
+    RecordingsDataTypeEnum,
+)
 from frigate.config import FrigateConfig
-from frigate.const import CLIPS_DIR, UPDATE_EVENT_DESCRIPTION
-from frigate.events.types import EventTypeEnum
+from frigate.config.camera.camera import CameraTypeEnum
+from frigate.const import (
+    CLIPS_DIR,
+    UPDATE_EVENT_DESCRIPTION,
+)
+from frigate.data_processing.common.license_plate.model import (
+    LicensePlateModelRunner,
+)
+from frigate.data_processing.post.api import PostProcessorApi
+from frigate.data_processing.post.license_plate import (
+    LicensePlatePostProcessor,
+)
+from frigate.data_processing.real_time.api import RealTimeProcessorApi
+from frigate.data_processing.real_time.bird import BirdRealTimeProcessor
+from frigate.data_processing.real_time.face import FaceRealTimeProcessor
+from frigate.data_processing.real_time.license_plate import (
+    LicensePlateRealTimeProcessor,
+)
+from frigate.data_processing.types import DataProcessorMetrics, PostProcessDataEnum
+from frigate.events.types import EventTypeEnum, RegenerateDescriptionEnum
 from frigate.genai import get_genai_client
 from frigate.models import Event
 from frigate.types import TrackedObjectUpdateTypesEnum
 from frigate.util.builtin import serialize
-from frigate.util.image import SharedMemoryFrameManager, calculate_region
+from frigate.util.image import (
+    SharedMemoryFrameManager,
+    calculate_region,
+    ensure_jpeg_bytes,
+)
+from frigate.util.path import get_event_thumbnail_bytes
 
 from .embeddings import Embeddings
 
@@ -43,39 +73,115 @@ class EmbeddingMaintainer(threading.Thread):
         self,
         db: SqliteQueueDatabase,
         config: FrigateConfig,
+        metrics: DataProcessorMetrics,
         stop_event: MpEvent,
     ) -> None:
         super().__init__(name="embeddings_maintainer")
         self.config = config
-        self.embeddings = Embeddings(config.semantic_search, db)
+        self.metrics = metrics
+        self.embeddings = None
 
-        # Check if we need to re-index events
-        if config.semantic_search.reindex:
-            self.embeddings.reindex()
+        if config.semantic_search.enabled:
+            self.embeddings = Embeddings(config, db, metrics)
+
+            # Check if we need to re-index events
+            if config.semantic_search.reindex:
+                self.embeddings.reindex()
+
+        # create communication for updating event descriptions
+        self.requestor = InterProcessRequestor()
 
         self.event_subscriber = EventUpdateSubscriber()
         self.event_end_subscriber = EventEndSubscriber()
+        self.event_metadata_publisher = EventMetadataPublisher()
         self.event_metadata_subscriber = EventMetadataSubscriber(
             EventMetadataTypeEnum.regenerate_description
         )
+        self.recordings_subscriber = RecordingsDataSubscriber(
+            RecordingsDataTypeEnum.recordings_available_through
+        )
+        self.detection_subscriber = DetectionSubscriber(DetectionTypeEnum.video)
         self.embeddings_responder = EmbeddingsResponder()
         self.frame_manager = SharedMemoryFrameManager()
-        # create communication for updating event descriptions
-        self.requestor = InterProcessRequestor()
+
+        self.detected_license_plates: dict[str, dict[str, Any]] = {}
+
+        # model runners to share between realtime and post processors
+        if self.config.lpr.enabled:
+            lpr_model_runner = LicensePlateModelRunner(
+                self.requestor,
+                device=self.config.lpr.device,
+                model_size=self.config.lpr.model_size,
+            )
+
+        # realtime processors
+        self.realtime_processors: list[RealTimeProcessorApi] = []
+
+        if self.config.face_recognition.enabled:
+            self.realtime_processors.append(
+                FaceRealTimeProcessor(
+                    self.config, self.requestor, self.event_metadata_publisher, metrics
+                )
+            )
+
+        if self.config.classification.bird.enabled:
+            self.realtime_processors.append(
+                BirdRealTimeProcessor(
+                    self.config, self.event_metadata_publisher, metrics
+                )
+            )
+
+        if self.config.lpr.enabled:
+            self.realtime_processors.append(
+                LicensePlateRealTimeProcessor(
+                    self.config,
+                    self.requestor,
+                    self.event_metadata_publisher,
+                    metrics,
+                    lpr_model_runner,
+                    self.detected_license_plates,
+                )
+            )
+
+        # post processors
+        self.post_processors: list[PostProcessorApi] = []
+
+        if self.config.lpr.enabled:
+            self.post_processors.append(
+                LicensePlatePostProcessor(
+                    self.config,
+                    self.requestor,
+                    self.event_metadata_publisher,
+                    metrics,
+                    lpr_model_runner,
+                    self.detected_license_plates,
+                )
+            )
+
         self.stop_event = stop_event
-        self.tracked_events = {}
+        self.tracked_events: dict[str, list[Any]] = {}
+        self.early_request_sent: dict[str, bool] = {}
         self.genai_client = get_genai_client(config)
 
+        # recordings data
+        self.recordings_available_through: dict[str, float] = {}
+
     def run(self) -> None:
         """Maintain a SQLite-vec database for semantic search."""
         while not self.stop_event.is_set():
             self._process_requests()
             self._process_updates()
+            self._process_recordings_updates()
+            self._process_dedicated_lpr()
+            self._expire_dedicated_lpr()
             self._process_finalized()
             self._process_event_metadata()
 
         self.event_subscriber.stop()
         self.event_end_subscriber.stop()
+        self.recordings_subscriber.stop()
+        self.detection_subscriber.stop()
+        self.event_metadata_publisher.stop()
         self.event_metadata_subscriber.stop()
         self.embeddings_responder.stop()
         self.requestor.stop()
@@ -84,33 +190,48 @@ class EmbeddingMaintainer(threading.Thread):
     def _process_requests(self) -> None:
         """Process embeddings requests"""
 
-        def _handle_request(topic: str, data: str) -> str:
+        def _handle_request(topic: str, data: dict[str, Any]) -> str:
             try:
-                if topic == EmbeddingsRequestEnum.embed_description.value:
-                    return serialize(
-                        self.embeddings.embed_description(
-                            data["id"], data["description"]
-                        ),
-                        pack=False,
-                    )
-                elif topic == EmbeddingsRequestEnum.embed_thumbnail.value:
-                    thumbnail = base64.b64decode(data["thumbnail"])
-                    return serialize(
-                        self.embeddings.embed_thumbnail(data["id"], thumbnail),
-                        pack=False,
-                    )
-                elif topic == EmbeddingsRequestEnum.generate_search.value:
-                    return serialize(
-                        self.embeddings.text_embedding([data])[0], pack=False
-                    )
+                # First handle the embedding-specific topics when semantic search is enabled
+                if self.config.semantic_search.enabled:
+                    if topic == EmbeddingsRequestEnum.embed_description.value:
+                        return serialize(
+                            self.embeddings.embed_description(
+                                data["id"], data["description"]
+                            ),
+                            pack=False,
+                        )
+                    elif topic == EmbeddingsRequestEnum.embed_thumbnail.value:
+                        thumbnail = base64.b64decode(data["thumbnail"])
+                        return serialize(
+                            self.embeddings.embed_thumbnail(data["id"], thumbnail),
+                            pack=False,
+                        )
+                    elif topic == EmbeddingsRequestEnum.generate_search.value:
+                        return serialize(
+                            self.embeddings.embed_description("", data, upsert=False),
+                            pack=False,
+                        )
+                    elif topic == EmbeddingsRequestEnum.reindex.value:
+                        response = self.embeddings.start_reindex()
+                        return "started" if response else "in_progress"
+
+                processors = [self.realtime_processors, self.post_processors]
+                for processor_list in processors:
+                    for processor in processor_list:
+                        resp = processor.handle_request(topic, data)
+                        if resp is not None:
+                            return resp
+
+                return None
             except Exception as e:
-                logger.error(f"Unable to handle embeddings request {e}")
+                logger.error(f"Unable to handle embeddings request {e}", exc_info=True)
 
         self.embeddings_responder.check_for_request(_handle_request)
 
     def _process_updates(self) -> None:
         """Process event updates"""
-        update = self.event_subscriber.check_for_update(timeout=0.1)
+        update = self.event_subscriber.check_for_update()
 
         if update is None:
             return
@@ -120,43 +241,90 @@ class EmbeddingMaintainer(threading.Thread):
         if not camera or source_type != EventTypeEnum.tracked_object:
             return
 
-        camera_config = self.config.cameras[camera]
-        # no need to save our own thumbnails if genai is not enabled
-        # or if the object has become stationary
-        if (
-            not camera_config.genai.enabled
-            or self.genai_client is None
-            or data["stationary"]
-        ):
-            return
+        if self.config.semantic_search.enabled:
+            self.embeddings.update_stats()
 
-        if data["id"] not in self.tracked_events:
-            self.tracked_events[data["id"]] = []
+        camera_config = self.config.cameras[camera]
+
+        # no need to process updated objects if face recognition, lpr, genai are disabled
+        if not camera_config.genai.enabled and len(self.realtime_processors) == 0:
+            return
 
         # Create our own thumbnail based on the bounding box and the frame time
         try:
             yuv_frame = self.frame_manager.get(
                 frame_name, camera_config.frame_shape_yuv
             )
-
-            if yuv_frame is not None:
-                data["thumbnail"] = self._create_thumbnail(yuv_frame, data["box"])
-
-                # Limit the number of thumbnails saved
-                if len(self.tracked_events[data["id"]]) >= MAX_THUMBNAILS:
-                    # Always keep the first thumbnail for the event
-                    self.tracked_events[data["id"]].pop(1)
-
-                self.tracked_events[data["id"]].append(data)
-
-                self.frame_manager.close(frame_name)
         except FileNotFoundError:
             pass
 
+        if yuv_frame is None:
+            logger.debug(
+                "Unable to process object update because frame is unavailable."
+            )
+            return
+
+        for processor in self.realtime_processors:
+            processor.process_frame(data, yuv_frame)
+
+        # no need to save our own thumbnails if genai is not enabled
+        # or if the object has become stationary
+        if self.genai_client is not None and not data["stationary"]:
+            if data["id"] not in self.tracked_events:
+                self.tracked_events[data["id"]] = []
+
+            data["thumbnail"] = self._create_thumbnail(yuv_frame, data["box"])
+
+            # Limit the number of thumbnails saved
+            if len(self.tracked_events[data["id"]]) >= MAX_THUMBNAILS:
+                # Always keep the first thumbnail for the event
+                self.tracked_events[data["id"]].pop(1)
+
+            self.tracked_events[data["id"]].append(data)
+
+        # check if we're configured to send an early request after a minimum number of updates received
+        if (
+            self.genai_client is not None
+            and camera_config.genai.send_triggers.after_significant_updates
+        ):
+            if (
+                len(self.tracked_events.get(data["id"], []))
+                >= camera_config.genai.send_triggers.after_significant_updates
+                and data["id"] not in self.early_request_sent
+            ):
+                if data["has_clip"] and data["has_snapshot"]:
+                    event: Event = Event.get(Event.id == data["id"])
+
+                    if (
+                        not camera_config.genai.objects
+                        or event.label in camera_config.genai.objects
+                    ) and (
+                        not camera_config.genai.required_zones
+                        or set(data["entered_zones"])
+                        & set(camera_config.genai.required_zones)
+                    ):
+                        logger.debug(f"{camera} sending early request to GenAI")
+
+                        self.early_request_sent[data["id"]] = True
+                        threading.Thread(
+                            target=self._genai_embed_description,
+                            name=f"_genai_embed_description_{event.id}",
+                            daemon=True,
+                            args=(
+                                event,
+                                [
+                                    data["thumbnail"]
+                                    for data in self.tracked_events[data["id"]]
+                                ],
+                            ),
+                        ).start()
+
+        self.frame_manager.close(frame_name)
+
     def _process_finalized(self) -> None:
         """Process the end of an event."""
         while True:
-            ended = self.event_end_subscriber.check_for_update(timeout=0.1)
+            ended = self.event_end_subscriber.check_for_update()
 
             if ended == None:
                 break
@@ -164,6 +332,35 @@ class EmbeddingMaintainer(threading.Thread):
             event_id, camera, updated_db = ended
             camera_config = self.config.cameras[camera]
 
+            # call any defined post processors
+            for processor in self.post_processors:
+                if isinstance(processor, LicensePlatePostProcessor):
+                    recordings_available = self.recordings_available_through.get(camera)
+                    if (
+                        recordings_available is not None
+                        and event_id in self.detected_license_plates
+                        and self.config.cameras[camera].type != "lpr"
+                    ):
+                        processor.process_data(
+                            {
+                                "event_id": event_id,
+                                "camera": camera,
+                                "recordings_available": self.recordings_available_through[
+                                    camera
+                                ],
+                                "obj_data": self.detected_license_plates[event_id][
+                                    "obj_data"
+                                ],
+                            },
+                            PostProcessDataEnum.recording,
+                        )
+                else:
+                    processor.process_data(event_id, PostProcessDataEnum.event_id)
+
+            # expire in realtime processors
+            for processor in self.realtime_processors:
+                processor.expire_object(event_id, camera)
+
             if updated_db:
                 try:
                     event: Event = Event.get(Event.id == event_id)
@@ -175,15 +372,16 @@ class EmbeddingMaintainer(threading.Thread):
                     continue
 
                 # Extract valid thumbnail
-                thumbnail = base64.b64decode(event.thumbnail)
+                thumbnail = get_event_thumbnail_bytes(event)
 
                 # Embed the thumbnail
                 self._embed_thumbnail(event_id, thumbnail)
 
+                # Run GenAI
                 if (
                     camera_config.genai.enabled
+                    and camera_config.genai.send_triggers.tracked_object_end
                     and self.genai_client is not None
-                    and event.data.get("description") is None
                     and (
                         not camera_config.genai.objects
                         or event.label in camera_config.genai.objects
@@ -193,98 +391,103 @@ class EmbeddingMaintainer(threading.Thread):
                         or set(event.zones) & set(camera_config.genai.required_zones)
                     )
                 ):
-                    if event.has_snapshot and camera_config.genai.use_snapshot:
-                        with open(
-                            os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}.jpg"),
-                            "rb",
-                        ) as image_file:
-                            snapshot_image = image_file.read()
-
-                            img = cv2.imdecode(
-                                np.frombuffer(snapshot_image, dtype=np.int8),
-                                cv2.IMREAD_COLOR,
-                            )
-
-                            # crop snapshot based on region before sending off to genai
-                            height, width = img.shape[:2]
-                            x1_rel, y1_rel, width_rel, height_rel = event.data["region"]
-
-                            x1, y1 = int(x1_rel * width), int(y1_rel * height)
-                            cropped_image = img[
-                                y1 : y1 + int(height_rel * height),
-                                x1 : x1 + int(width_rel * width),
-                            ]
-
-                            _, buffer = cv2.imencode(".jpg", cropped_image)
-                            snapshot_image = buffer.tobytes()
-
-                    num_thumbnails = len(self.tracked_events.get(event_id, []))
-
-                    embed_image = (
-                        [snapshot_image]
-                        if event.has_snapshot and camera_config.genai.use_snapshot
-                        else (
-                            [
-                                data["thumbnail"]
-                                for data in self.tracked_events[event_id]
-                            ]
-                            if num_thumbnails > 0
-                            else [thumbnail]
-                        )
-                    )
-
-                    if camera_config.genai.debug_save_thumbnails and num_thumbnails > 0:
-                        logger.debug(
-                            f"Saving {num_thumbnails} thumbnails for event {event.id}"
-                        )
-
-                        Path(
-                            os.path.join(CLIPS_DIR, f"genai-requests/{event.id}")
-                        ).mkdir(parents=True, exist_ok=True)
-
-                        for idx, data in enumerate(self.tracked_events[event_id], 1):
-                            jpg_bytes: bytes = data["thumbnail"]
-
-                            if jpg_bytes is None:
-                                logger.warning(
-                                    f"Unable to save thumbnail {idx} for {event.id}."
-                                )
-                            else:
-                                with open(
-                                    os.path.join(
-                                        CLIPS_DIR,
-                                        f"genai-requests/{event.id}/{idx}.jpg",
-                                    ),
-                                    "wb",
-                                ) as j:
-                                    j.write(jpg_bytes)
-
-                    # Generate the description. Call happens in a thread since it is network bound.
-                    threading.Thread(
-                        target=self._embed_description,
-                        name=f"_embed_description_{event.id}",
-                        daemon=True,
-                        args=(
-                            event,
-                            embed_image,
-                        ),
-                    ).start()
+                    self._process_genai_description(event, camera_config, thumbnail)
 
             # Delete tracked events based on the event_id
             if event_id in self.tracked_events:
                 del self.tracked_events[event_id]
 
+    def _expire_dedicated_lpr(self) -> None:
+        """Remove plates not seen for longer than expiration timeout for dedicated lpr cameras."""
+        now = datetime.datetime.now().timestamp()
+
+        to_remove = []
+
+        for id, data in self.detected_license_plates.items():
+            last_seen = data.get("last_seen", 0)
+            if not last_seen:
+                continue
+
+            if now - last_seen > self.config.cameras[data["camera"]].lpr.expire_time:
+                to_remove.append(id)
+        for id in to_remove:
+            self.event_metadata_publisher.publish(
+                EventMetadataTypeEnum.manual_event_end,
+                (id, now),
+            )
+            self.detected_license_plates.pop(id)
+
+    def _process_recordings_updates(self) -> None:
+        """Process recordings updates."""
+        while True:
+            recordings_data = self.recordings_subscriber.check_for_update()
+
+            if recordings_data == None:
+                break
+
+            camera, recordings_available_through_timestamp = recordings_data
+
+            self.recordings_available_through[camera] = (
+                recordings_available_through_timestamp
+            )
+
+            logger.debug(
+                f"{camera} now has recordings available through {recordings_available_through_timestamp}"
+            )
+
     def _process_event_metadata(self):
         # Check for regenerate description requests
-        (topic, event_id, source) = self.event_metadata_subscriber.check_for_update(
-            timeout=0.1
-        )
+        (topic, payload) = self.event_metadata_subscriber.check_for_update()
 
         if topic is None:
             return
 
+        event_id, source = payload
+
         if event_id:
-            self.handle_regenerate_description(event_id, source)
+            self.handle_regenerate_description(
+                event_id, RegenerateDescriptionEnum(source)
+            )
+
+    def _process_dedicated_lpr(self) -> None:
+        """Process event updates"""
+        (topic, data) = self.detection_subscriber.check_for_update()
+
+        if topic is None:
+            return
+
+        camera, frame_name, _, _, motion_boxes, _ = data
+
+        if not camera or not self.config.lpr.enabled or len(motion_boxes) == 0:
+            return
+
+        camera_config = self.config.cameras[camera]
+
+        if (
+            camera_config.type != CameraTypeEnum.lpr
+            or "license_plate" in camera_config.objects.track
+        ):
+            # we're not a dedicated lpr camera or we are one but we're using frigate+
+            return
+
+        try:
+            yuv_frame = self.frame_manager.get(
+                frame_name, camera_config.frame_shape_yuv
+            )
+        except FileNotFoundError:
+            pass
+
+        if yuv_frame is None:
+            logger.debug(
+                "Unable to process dedicated LPR update because frame is unavailable."
+            )
+            return
+
+        for processor in self.realtime_processors:
+            if isinstance(processor, LicensePlateRealTimeProcessor):
+                processor.process_frame(camera, yuv_frame, True)
+
+        self.frame_manager.close(frame_name)
 
     def _create_thumbnail(self, yuv_frame, box, height=500) -> Optional[bytes]:
         """Return jpg thumbnail of a region of the frame."""
@@ -304,9 +507,66 @@ class EmbeddingMaintainer(threading.Thread):
 
     def _embed_thumbnail(self, event_id: str, thumbnail: bytes) -> None:
         """Embed the thumbnail for an event."""
+        if not self.config.semantic_search.enabled:
+            return
+
         self.embeddings.embed_thumbnail(event_id, thumbnail)
 
-    def _embed_description(self, event: Event, thumbnails: list[bytes]) -> None:
+    def _process_genai_description(self, event, camera_config, thumbnail) -> None:
+        if event.has_snapshot and camera_config.genai.use_snapshot:
+            snapshot_image = self._read_and_crop_snapshot(event, camera_config)
+            if not snapshot_image:
+                return
+
+        num_thumbnails = len(self.tracked_events.get(event.id, []))
+
+        # ensure we have a jpeg to pass to the model
+        thumbnail = ensure_jpeg_bytes(thumbnail)
+
+        embed_image = (
+            [snapshot_image]
+            if event.has_snapshot and camera_config.genai.use_snapshot
+            else (
+                [data["thumbnail"] for data in self.tracked_events[event.id]]
+                if num_thumbnails > 0
+                else [thumbnail]
+            )
+        )
+
+        if camera_config.genai.debug_save_thumbnails and num_thumbnails > 0:
+            logger.debug(f"Saving {num_thumbnails} thumbnails for event {event.id}")
+
+            Path(os.path.join(CLIPS_DIR, f"genai-requests/{event.id}")).mkdir(
+                parents=True, exist_ok=True
+            )
+
+            for idx, data in enumerate(self.tracked_events[event.id], 1):
+                jpg_bytes: bytes = data["thumbnail"]
+
+                if jpg_bytes is None:
+                    logger.warning(f"Unable to save thumbnail {idx} for {event.id}.")
+                else:
+                    with open(
+                        os.path.join(
+                            CLIPS_DIR,
+                            f"genai-requests/{event.id}/{idx}.jpg",
+                        ),
+                        "wb",
+                    ) as j:
+                        j.write(jpg_bytes)
+
+        # Generate the description. Call happens in a thread since it is network bound.
+        threading.Thread(
+            target=self._genai_embed_description,
+            name=f"_genai_embed_description_{event.id}",
+            daemon=True,
+            args=(
+                event,
+                embed_image,
+            ),
+        ).start()
+
+    def _genai_embed_description(self, event: Event, thumbnails: list[bytes]) -> None:
         """Embed the description for an event."""
         camera_config = self.config.cameras[event.camera]
 
@@ -325,11 +585,13 @@ class EmbeddingMaintainer(threading.Thread):
                 "type": TrackedObjectUpdateTypesEnum.description,
                 "id": event.id,
                 "description": description,
+                "camera": event.camera,
             },
         )
 
         # Embed the description
-        self.embeddings.embed_description(event.id, description)
+        if self.config.semantic_search.enabled:
+            self.embeddings.embed_description(event.id, description)
 
         logger.debug(
             "Generated description for %s (%d images): %s",
@@ -338,6 +600,45 @@ class EmbeddingMaintainer(threading.Thread):
             description,
         )
 
+    def _read_and_crop_snapshot(self, event: Event, camera_config) -> bytes | None:
+        """Read, decode, and crop the snapshot image."""
+
+        snapshot_file = os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}.jpg")
+
+        if not os.path.isfile(snapshot_file):
+            logger.error(
+                f"Cannot load snapshot for {event.id}, file not found: {snapshot_file}"
+            )
+            return None
+
+        try:
+            with open(snapshot_file, "rb") as image_file:
+                snapshot_image = image_file.read()
+
+                img = cv2.imdecode(
+                    np.frombuffer(snapshot_image, dtype=np.int8),
+                    cv2.IMREAD_COLOR,
+                )
+
+                # Crop snapshot based on region
+                # provide full image if region doesn't exist (manual events)
+                height, width = img.shape[:2]
+                x1_rel, y1_rel, width_rel, height_rel = event.data.get(
+                    "region", [0, 0, 1, 1]
+                )
+                x1, y1 = int(x1_rel * width), int(y1_rel * height)
+
+                cropped_image = img[
+                    y1 : y1 + int(height_rel * height),
+                    x1 : x1 + int(width_rel * width),
+                ]
+
+                _, buffer = cv2.imencode(".jpg", cropped_image)
+
+                return buffer.tobytes()
+        except Exception:
+            return None
+
     def handle_regenerate_description(self, event_id: str, source: str) -> None:
         try:
             event: Event = Event.get(Event.id == event_id)
@@ -350,41 +651,20 @@ class EmbeddingMaintainer(threading.Thread):
             logger.error(f"GenAI not enabled for camera {event.camera}")
             return
 
-        thumbnail = base64.b64decode(event.thumbnail)
+        thumbnail = get_event_thumbnail_bytes(event)
+
+        # ensure we have a jpeg to pass to the model
+        thumbnail = ensure_jpeg_bytes(thumbnail)
 
         logger.debug(
             f"Trying {source} regeneration for {event}, has_snapshot: {event.has_snapshot}"
         )
 
         if event.has_snapshot and source == "snapshot":
-            snapshot_file = os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}.jpg")
-
-            if not os.path.isfile(snapshot_file):
-                logger.error(
-                    f"Cannot regenerate description for {event.id}, snapshot file not found: {snapshot_file}"
-                )
+            snapshot_image = self._read_and_crop_snapshot(event, camera_config)
+            if not snapshot_image:
                 return
 
-            with open(snapshot_file, "rb") as image_file:
-                snapshot_image = image_file.read()
-                img = cv2.imdecode(
-                    np.frombuffer(snapshot_image, dtype=np.int8), cv2.IMREAD_COLOR
-                )
-
-                # crop snapshot based on region before sending off to genai
-                # provide full image if region doesn't exist (manual events)
-                region = event.data.get("region", [0, 0, 1, 1])
-                height, width = img.shape[:2]
-                x1_rel, y1_rel, width_rel, height_rel = region
-
-                x1, y1 = int(x1_rel * width), int(y1_rel * height)
-                cropped_image = img[
-                    y1 : y1 + int(height_rel * height), x1 : x1 + int(width_rel * width)
-                ]
-
-                _, buffer = cv2.imencode(".jpg", cropped_image)
-                snapshot_image = buffer.tobytes()
-
         embed_image = (
             [snapshot_image]
             if event.has_snapshot and source == "snapshot"
@@ -395,4 +675,4 @@ class EmbeddingMaintainer(threading.Thread):
             )
         )
 
-        self._embed_description(event, embed_image)
+        self._genai_embed_description(event, embed_image)
diff --git a/frigate/embeddings/onnx/base_embedding.py b/frigate/embeddings/onnx/base_embedding.py
new file mode 100644
index 000000000..fcadd2852
--- /dev/null
+++ b/frigate/embeddings/onnx/base_embedding.py
@@ -0,0 +1,103 @@
+"""Base class for onnx embedding implementations."""
+
+import logging
+import os
+from abc import ABC, abstractmethod
+from enum import Enum
+from io import BytesIO
+from typing import Any
+
+import numpy as np
+import requests
+from PIL import Image
+
+from frigate.const import UPDATE_MODEL_STATE
+from frigate.types import ModelStatusTypesEnum
+from frigate.util.downloader import ModelDownloader
+
+logger = logging.getLogger(__name__)
+
+
+class EmbeddingTypeEnum(str, Enum):
+    thumbnail = "thumbnail"
+    description = "description"
+
+
+class BaseEmbedding(ABC):
+    """Base embedding class."""
+
+    def __init__(self, model_name: str, model_file: str, download_urls: dict[str, str]):
+        self.model_name = model_name
+        self.model_file = model_file
+        self.download_urls = download_urls
+        self.downloader: ModelDownloader = None
+
+    def _download_model(self, path: str):
+        try:
+            file_name = os.path.basename(path)
+
+            if file_name in self.download_urls:
+                ModelDownloader.download_from_url(self.download_urls[file_name], path)
+
+            self.downloader.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.downloaded,
+                },
+            )
+        except Exception:
+            self.downloader.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.error,
+                },
+            )
+
+    @abstractmethod
+    def _load_model_and_utils(self):
+        pass
+
+    @abstractmethod
+    def _preprocess_inputs(self, raw_inputs: Any) -> Any:
+        pass
+
+    def _process_image(self, image, output: str = "RGB") -> Image.Image:
+        if isinstance(image, str):
+            if image.startswith("http"):
+                response = requests.get(image)
+                image = Image.open(BytesIO(response.content)).convert(output)
+        elif isinstance(image, bytes):
+            image = Image.open(BytesIO(image)).convert(output)
+        elif isinstance(image, np.ndarray):
+            image = Image.fromarray(image)
+
+        return image
+
+    def _postprocess_outputs(self, outputs: Any) -> Any:
+        return outputs
+
+    def __call__(
+        self, inputs: list[str] | list[Image.Image] | list[str]
+    ) -> list[np.ndarray]:
+        self._load_model_and_utils()
+        processed = self._preprocess_inputs(inputs)
+        input_names = self.runner.get_input_names()
+        onnx_inputs = {name: [] for name in input_names}
+        input: dict[str, Any]
+        for input in processed:
+            for key, value in input.items():
+                if key in input_names:
+                    onnx_inputs[key].append(value[0])
+
+        for key in input_names:
+            if onnx_inputs.get(key):
+                onnx_inputs[key] = np.stack(onnx_inputs[key])
+            else:
+                logger.warning(f"Expected input '{key}' not found in onnx_inputs")
+
+        outputs = self.runner.run(onnx_inputs)[0]
+        embeddings = self._postprocess_outputs(outputs)
+
+        return [embedding for embedding in embeddings]
diff --git a/frigate/embeddings/onnx/face_embedding.py b/frigate/embeddings/onnx/face_embedding.py
new file mode 100644
index 000000000..c0f35a581
--- /dev/null
+++ b/frigate/embeddings/onnx/face_embedding.py
@@ -0,0 +1,185 @@
+"""Facenet Embeddings."""
+
+import logging
+import os
+
+import numpy as np
+
+from frigate.const import MODEL_CACHE_DIR
+from frigate.util.downloader import ModelDownloader
+
+from .base_embedding import BaseEmbedding
+from .runner import ONNXModelRunner
+
+try:
+    from tflite_runtime.interpreter import Interpreter
+except ModuleNotFoundError:
+    from tensorflow.lite.python.interpreter import Interpreter
+
+logger = logging.getLogger(__name__)
+
+ARCFACE_INPUT_SIZE = 112
+FACENET_INPUT_SIZE = 160
+
+
+class FaceNetEmbedding(BaseEmbedding):
+    def __init__(self):
+        super().__init__(
+            model_name="facedet",
+            model_file="facenet.tflite",
+            download_urls={
+                "facenet.tflite": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/facenet.tflite",
+            },
+        )
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.tokenizer = None
+        self.feature_extractor = None
+        self.runner = None
+        files_names = list(self.download_urls.keys())
+
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = Interpreter(
+                model_path=os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite"),
+                num_threads=2,
+            )
+            self.runner.allocate_tensors()
+            self.tensor_input_details = self.runner.get_input_details()
+            self.tensor_output_details = self.runner.get_output_details()
+
+    def _preprocess_inputs(self, raw_inputs):
+        pil = self._process_image(raw_inputs[0])
+
+        # handle images larger than input size
+        width, height = pil.size
+        if width != FACENET_INPUT_SIZE or height != FACENET_INPUT_SIZE:
+            if width > height:
+                new_height = int(((height / width) * FACENET_INPUT_SIZE) // 4 * 4)
+                pil = pil.resize((FACENET_INPUT_SIZE, new_height))
+            else:
+                new_width = int(((width / height) * FACENET_INPUT_SIZE) // 4 * 4)
+                pil = pil.resize((new_width, FACENET_INPUT_SIZE))
+
+        og = np.array(pil).astype(np.float32)
+
+        # Image must be FACE_EMBEDDING_SIZExFACE_EMBEDDING_SIZE
+        og_h, og_w, channels = og.shape
+        frame = np.zeros(
+            (FACENET_INPUT_SIZE, FACENET_INPUT_SIZE, channels), dtype=np.float32
+        )
+
+        # compute center offset
+        x_center = (FACENET_INPUT_SIZE - og_w) // 2
+        y_center = (FACENET_INPUT_SIZE - og_h) // 2
+
+        # copy img image into center of result image
+        frame[y_center : y_center + og_h, x_center : x_center + og_w] = og
+
+        # run facenet normalization
+        frame = (frame / 127.5) - 1.0
+
+        frame = np.expand_dims(frame, axis=0)
+        return frame
+
+    def __call__(self, inputs):
+        self._load_model_and_utils()
+        processed = self._preprocess_inputs(inputs)
+        self.runner.set_tensor(self.tensor_input_details[0]["index"], processed)
+        self.runner.invoke()
+        return self.runner.get_tensor(self.tensor_output_details[0]["index"])
+
+
+class ArcfaceEmbedding(BaseEmbedding):
+    def __init__(self):
+        super().__init__(
+            model_name="facedet",
+            model_file="arcface.onnx",
+            download_urls={
+                "arcface.onnx": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/arcface.onnx",
+            },
+        )
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.tokenizer = None
+        self.feature_extractor = None
+        self.runner = None
+        files_names = list(self.download_urls.keys())
+
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                "GPU",
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        pil = self._process_image(raw_inputs[0])
+
+        # handle images larger than input size
+        width, height = pil.size
+        if width != ARCFACE_INPUT_SIZE or height != ARCFACE_INPUT_SIZE:
+            if width > height:
+                new_height = int(((height / width) * ARCFACE_INPUT_SIZE) // 4 * 4)
+                pil = pil.resize((ARCFACE_INPUT_SIZE, new_height))
+            else:
+                new_width = int(((width / height) * ARCFACE_INPUT_SIZE) // 4 * 4)
+                pil = pil.resize((new_width, ARCFACE_INPUT_SIZE))
+
+        og = np.array(pil).astype(np.float32)
+
+        # Image must be FACE_EMBEDDING_SIZExFACE_EMBEDDING_SIZE
+        og_h, og_w, channels = og.shape
+        frame = np.zeros(
+            (ARCFACE_INPUT_SIZE, ARCFACE_INPUT_SIZE, channels), dtype=np.float32
+        )
+
+        # compute center offset
+        x_center = (ARCFACE_INPUT_SIZE - og_w) // 2
+        y_center = (ARCFACE_INPUT_SIZE - og_h) // 2
+
+        # copy img image into center of result image
+        frame[y_center : y_center + og_h, x_center : x_center + og_w] = og
+
+        # run arcface normalization
+        frame = (frame / 127.5) - 1.0
+
+        frame = np.transpose(frame, (2, 0, 1))
+        frame = np.expand_dims(frame, axis=0)
+        return [{"data": frame}]
diff --git a/frigate/embeddings/onnx/jina_v1_embedding.py b/frigate/embeddings/onnx/jina_v1_embedding.py
new file mode 100644
index 000000000..b448ec816
--- /dev/null
+++ b/frigate/embeddings/onnx/jina_v1_embedding.py
@@ -0,0 +1,218 @@
+"""JinaV1 Embeddings."""
+
+import logging
+import os
+import warnings
+
+# importing this without pytorch or others causes a warning
+# https://github.com/huggingface/transformers/issues/27214
+# suppressed by setting env TRANSFORMERS_NO_ADVISORY_WARNINGS=1
+from transformers import AutoFeatureExtractor, AutoTokenizer
+from transformers.utils.logging import disable_progress_bar
+
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.const import MODEL_CACHE_DIR, UPDATE_MODEL_STATE
+from frigate.types import ModelStatusTypesEnum
+from frigate.util.downloader import ModelDownloader
+
+from .base_embedding import BaseEmbedding
+from .runner import ONNXModelRunner
+
+warnings.filterwarnings(
+    "ignore",
+    category=FutureWarning,
+    message="The class CLIPFeatureExtractor is deprecated",
+)
+
+# disables the progress bar for downloading tokenizers and feature extractors
+disable_progress_bar()
+logger = logging.getLogger(__name__)
+
+
+class JinaV1TextEmbedding(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
+        super().__init__(
+            model_name="jinaai/jina-clip-v1",
+            model_file="text_model_fp16.onnx",
+            download_urls={
+                "text_model_fp16.onnx": f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/onnx/text_model_fp16.onnx",
+            },
+        )
+        self.tokenizer_file = "tokenizer"
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.tokenizer = None
+        self.feature_extractor = None
+        self.runner = None
+        files_names = list(self.download_urls.keys()) + [self.tokenizer_file]
+
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _download_model(self, path: str):
+        try:
+            file_name = os.path.basename(path)
+
+            if file_name in self.download_urls:
+                ModelDownloader.download_from_url(self.download_urls[file_name], path)
+            elif file_name == self.tokenizer_file:
+                if not os.path.exists(path + "/" + self.model_name):
+                    logger.info(f"Downloading {self.model_name} tokenizer")
+
+                tokenizer = AutoTokenizer.from_pretrained(
+                    self.model_name,
+                    trust_remote_code=True,
+                    cache_dir=f"{MODEL_CACHE_DIR}/{self.model_name}/tokenizer",
+                    clean_up_tokenization_spaces=True,
+                )
+                tokenizer.save_pretrained(path)
+
+            self.downloader.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.downloaded,
+                },
+            )
+        except Exception:
+            self.downloader.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.error,
+                },
+            )
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            tokenizer_path = os.path.join(
+                f"{MODEL_CACHE_DIR}/{self.model_name}/tokenizer"
+            )
+            self.tokenizer = AutoTokenizer.from_pretrained(
+                self.model_name,
+                cache_dir=tokenizer_path,
+                trust_remote_code=True,
+                clean_up_tokenization_spaces=True,
+            )
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        max_length = max(len(self.tokenizer.encode(text)) for text in raw_inputs)
+        return [
+            self.tokenizer(
+                text,
+                padding="max_length",
+                truncation=True,
+                max_length=max_length,
+                return_tensors="np",
+            )
+            for text in raw_inputs
+        ]
+
+
+class JinaV1ImageEmbedding(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        model_file = (
+            "vision_model_fp16.onnx"
+            if model_size == "large"
+            else "vision_model_quantized.onnx"
+        )
+        HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
+        super().__init__(
+            model_name="jinaai/jina-clip-v1",
+            model_file=model_file,
+            download_urls={
+                model_file: f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/onnx/{model_file}",
+                "preprocessor_config.json": f"{HF_ENDPOINT}/jinaai/jina-clip-v1/resolve/main/preprocessor_config.json",
+            },
+        )
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.feature_extractor = None
+        self.runner: ONNXModelRunner | None = None
+        files_names = list(self.download_urls.keys())
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.feature_extractor = AutoFeatureExtractor.from_pretrained(
+                f"{MODEL_CACHE_DIR}/{self.model_name}",
+            )
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        processed_images = [self._process_image(img) for img in raw_inputs]
+        return [
+            self.feature_extractor(images=image, return_tensors="np")
+            for image in processed_images
+        ]
diff --git a/frigate/embeddings/onnx/jina_v2_embedding.py b/frigate/embeddings/onnx/jina_v2_embedding.py
new file mode 100644
index 000000000..e9def9a07
--- /dev/null
+++ b/frigate/embeddings/onnx/jina_v2_embedding.py
@@ -0,0 +1,232 @@
+"""JinaV2 Embeddings."""
+
+import io
+import logging
+import os
+
+import numpy as np
+from PIL import Image
+from transformers import AutoTokenizer
+from transformers.utils.logging import disable_progress_bar, set_verbosity_error
+
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.const import MODEL_CACHE_DIR, UPDATE_MODEL_STATE
+from frigate.types import ModelStatusTypesEnum
+from frigate.util.downloader import ModelDownloader
+
+from .base_embedding import BaseEmbedding
+from .runner import ONNXModelRunner
+
+# disables the progress bar and download logging for downloading tokenizers and image processors
+disable_progress_bar()
+set_verbosity_error()
+logger = logging.getLogger(__name__)
+
+
+class JinaV2Embedding(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+        embedding_type: str = None,
+    ):
+        model_file = (
+            "model_fp16.onnx" if model_size == "large" else "model_quantized.onnx"
+        )
+        HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")
+        super().__init__(
+            model_name="jinaai/jina-clip-v2",
+            model_file=model_file,
+            download_urls={
+                model_file: f"{HF_ENDPOINT}/jinaai/jina-clip-v2/resolve/main/onnx/{model_file}",
+                "preprocessor_config.json": f"{HF_ENDPOINT}/jinaai/jina-clip-v2/resolve/main/preprocessor_config.json",
+            },
+        )
+        self.tokenizer_file = "tokenizer"
+        self.embedding_type = embedding_type
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.tokenizer = None
+        self.image_processor = None
+        self.runner = None
+        files_names = list(self.download_urls.keys()) + [self.tokenizer_file]
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _download_model(self, path: str):
+        try:
+            file_name = os.path.basename(path)
+
+            if file_name in self.download_urls:
+                ModelDownloader.download_from_url(self.download_urls[file_name], path)
+            elif file_name == self.tokenizer_file:
+                if not os.path.exists(os.path.join(path, self.model_name)):
+                    logger.info(f"Downloading {self.model_name} tokenizer")
+
+                tokenizer = AutoTokenizer.from_pretrained(
+                    self.model_name,
+                    trust_remote_code=True,
+                    cache_dir=os.path.join(
+                        MODEL_CACHE_DIR, self.model_name, "tokenizer"
+                    ),
+                    clean_up_tokenization_spaces=True,
+                )
+                tokenizer.save_pretrained(path)
+            self.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.downloaded,
+                },
+            )
+        except Exception:
+            self.requestor.send_data(
+                UPDATE_MODEL_STATE,
+                {
+                    "model": f"{self.model_name}-{file_name}",
+                    "state": ModelStatusTypesEnum.error,
+                },
+            )
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            tokenizer_path = os.path.join(
+                f"{MODEL_CACHE_DIR}/{self.model_name}/tokenizer"
+            )
+            self.tokenizer = AutoTokenizer.from_pretrained(
+                self.model_name,
+                cache_dir=tokenizer_path,
+                trust_remote_code=True,
+                clean_up_tokenization_spaces=True,
+            )
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_image(self, image_data: bytes | Image.Image) -> np.ndarray:
+        """
+        Manually preprocess a single image from bytes or PIL.Image to (3, 512, 512).
+        """
+        if isinstance(image_data, bytes):
+            image = Image.open(io.BytesIO(image_data))
+        else:
+            image = image_data
+
+        if image.mode != "RGB":
+            image = image.convert("RGB")
+
+        image = image.resize((512, 512), Image.Resampling.LANCZOS)
+
+        # Convert to numpy array, normalize to [0, 1], and transpose to (channels, height, width)
+        image_array = np.array(image, dtype=np.float32) / 255.0
+        image_array = np.transpose(image_array, (2, 0, 1))  # (H, W, C) -> (C, H, W)
+
+        return image_array
+
+    def _preprocess_inputs(self, raw_inputs):
+        """
+        Preprocess inputs into a list of real input tensors (no dummies).
+        - For text: Returns list of input_ids.
+        - For vision: Returns list of pixel_values.
+        """
+        if not isinstance(raw_inputs, list):
+            raw_inputs = [raw_inputs]
+
+        processed = []
+        if self.embedding_type == "text":
+            for text in raw_inputs:
+                input_ids = self.tokenizer([text], return_tensors="np")["input_ids"]
+                processed.append(input_ids)
+        elif self.embedding_type == "vision":
+            for img in raw_inputs:
+                pixel_values = self._preprocess_image(img)
+                processed.append(
+                    pixel_values[np.newaxis, ...]
+                )  # Add batch dim: (1, 3, 512, 512)
+        else:
+            raise ValueError(
+                f"Invalid embedding_type: {self.embedding_type}. Must be 'text' or 'vision'."
+            )
+        return processed
+
+    def _postprocess_outputs(self, outputs):
+        """
+        Process ONNX model outputs, truncating each embedding in the array to truncate_dim.
+        - outputs: NumPy array of embeddings.
+        - Returns: List of truncated embeddings.
+        """
+        # size of vector in database
+        truncate_dim = 768
+
+        # jina v2 defaults to 1024 and uses Matryoshka representation, so
+        # truncating only causes an extremely minor decrease in retrieval accuracy
+        if outputs.shape[-1] > truncate_dim:
+            outputs = outputs[..., :truncate_dim]
+
+        return outputs
+
+    def __call__(
+        self, inputs: list[str] | list[Image.Image] | list[str], embedding_type=None
+    ) -> list[np.ndarray]:
+        self.embedding_type = embedding_type
+        if not self.embedding_type:
+            raise ValueError(
+                "embedding_type must be specified either in __init__ or __call__"
+            )
+
+        self._load_model_and_utils()
+        processed = self._preprocess_inputs(inputs)
+        batch_size = len(processed)
+
+        # Prepare ONNX inputs with matching batch sizes
+        onnx_inputs = {}
+        if self.embedding_type == "text":
+            onnx_inputs["input_ids"] = np.stack([x[0] for x in processed])
+            onnx_inputs["pixel_values"] = np.zeros(
+                (batch_size, 3, 512, 512), dtype=np.float32
+            )
+        elif self.embedding_type == "vision":
+            onnx_inputs["input_ids"] = np.zeros((batch_size, 16), dtype=np.int64)
+            onnx_inputs["pixel_values"] = np.stack([x[0] for x in processed])
+        else:
+            raise ValueError("Invalid embedding type")
+
+        # Run inference
+        outputs = self.runner.run(onnx_inputs)
+        if self.embedding_type == "text":
+            embeddings = outputs[2]  # text embeddings
+        elif self.embedding_type == "vision":
+            embeddings = outputs[3]  # image embeddings
+        else:
+            raise ValueError("Invalid embedding type")
+
+        embeddings = self._postprocess_outputs(embeddings)
+        return [embedding for embedding in embeddings]
diff --git a/frigate/embeddings/onnx/lpr_embedding.py b/frigate/embeddings/onnx/lpr_embedding.py
new file mode 100644
index 000000000..ac981da8d
--- /dev/null
+++ b/frigate/embeddings/onnx/lpr_embedding.py
@@ -0,0 +1,300 @@
+import logging
+import os
+import warnings
+
+import cv2
+import numpy as np
+
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.const import MODEL_CACHE_DIR
+from frigate.types import ModelStatusTypesEnum
+from frigate.util.downloader import ModelDownloader
+
+from .base_embedding import BaseEmbedding
+from .runner import ONNXModelRunner
+
+warnings.filterwarnings(
+    "ignore",
+    category=FutureWarning,
+    message="The class CLIPFeatureExtractor is deprecated",
+)
+
+logger = logging.getLogger(__name__)
+
+LPR_EMBEDDING_SIZE = 256
+
+
+class PaddleOCRDetection(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        model_file = (
+            "detection-large.onnx" if model_size == "large" else "detection-small.onnx"
+        )
+        super().__init__(
+            model_name="paddleocr-onnx",
+            model_file=model_file,
+            download_urls={
+                model_file: f"https://github.com/hawkeye217/paddleocr-onnx/raw/refs/heads/master/models/{model_file}"
+            },
+        )
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.runner: ONNXModelRunner | None = None
+        files_names = list(self.download_urls.keys())
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        preprocessed = []
+        for x in raw_inputs:
+            preprocessed.append(x)
+        return [{"x": preprocessed[0]}]
+
+
+class PaddleOCRClassification(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        super().__init__(
+            model_name="paddleocr-onnx",
+            model_file="classification.onnx",
+            download_urls={
+                "classification.onnx": "https://github.com/hawkeye217/paddleocr-onnx/raw/refs/heads/master/models/classification.onnx"
+            },
+        )
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.runner: ONNXModelRunner | None = None
+        files_names = list(self.download_urls.keys())
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        processed = []
+        for img in raw_inputs:
+            processed.append({"x": img})
+        return processed
+
+
+class PaddleOCRRecognition(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        super().__init__(
+            model_name="paddleocr-onnx",
+            model_file="recognition.onnx",
+            download_urls={
+                "recognition.onnx": "https://github.com/hawkeye217/paddleocr-onnx/raw/refs/heads/master/models/recognition.onnx"
+            },
+        )
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.runner: ONNXModelRunner | None = None
+        files_names = list(self.download_urls.keys())
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        processed = []
+        for img in raw_inputs:
+            processed.append({"x": img})
+        return processed
+
+
+class LicensePlateDetector(BaseEmbedding):
+    def __init__(
+        self,
+        model_size: str,
+        requestor: InterProcessRequestor,
+        device: str = "AUTO",
+    ):
+        super().__init__(
+            model_name="yolov9_license_plate",
+            model_file="yolov9-256-license-plates.onnx",
+            download_urls={
+                "yolov9-256-license-plates.onnx": "https://github.com/hawkeye217/yolov9-license-plates/raw/refs/heads/master/models/yolov9-256-license-plates.onnx"
+            },
+        )
+
+        self.requestor = requestor
+        self.model_size = model_size
+        self.device = device
+        self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
+        self.runner: ONNXModelRunner | None = None
+        files_names = list(self.download_urls.keys())
+        if not all(
+            os.path.exists(os.path.join(self.download_path, n)) for n in files_names
+        ):
+            logger.debug(f"starting model download for {self.model_name}")
+            self.downloader = ModelDownloader(
+                model_name=self.model_name,
+                download_path=self.download_path,
+                file_names=files_names,
+                download_func=self._download_model,
+            )
+            self.downloader.ensure_model_files()
+        else:
+            self.downloader = None
+            ModelDownloader.mark_files_state(
+                self.requestor,
+                self.model_name,
+                files_names,
+                ModelStatusTypesEnum.downloaded,
+            )
+            self._load_model_and_utils()
+            logger.debug(f"models are already downloaded for {self.model_name}")
+
+    def _load_model_and_utils(self):
+        if self.runner is None:
+            if self.downloader:
+                self.downloader.wait_for_download()
+
+            self.runner = ONNXModelRunner(
+                os.path.join(self.download_path, self.model_file),
+                self.device,
+                self.model_size,
+            )
+
+    def _preprocess_inputs(self, raw_inputs):
+        if isinstance(raw_inputs, list):
+            raise ValueError("License plate embedding does not support batch inputs.")
+
+        img = raw_inputs
+        height, width, channels = img.shape
+
+        # Resize maintaining aspect ratio
+        if width > height:
+            new_height = int(((height / width) * LPR_EMBEDDING_SIZE) // 4 * 4)
+            img = cv2.resize(img, (LPR_EMBEDDING_SIZE, new_height))
+        else:
+            new_width = int(((width / height) * LPR_EMBEDDING_SIZE) // 4 * 4)
+            img = cv2.resize(img, (new_width, LPR_EMBEDDING_SIZE))
+
+        # Get new dimensions after resize
+        og_h, og_w, channels = img.shape
+
+        # Create black square frame
+        frame = np.full(
+            (LPR_EMBEDDING_SIZE, LPR_EMBEDDING_SIZE, channels),
+            (0, 0, 0),
+            dtype=np.float32,
+        )
+
+        # Center the resized image in the square frame
+        x_center = (LPR_EMBEDDING_SIZE - og_w) // 2
+        y_center = (LPR_EMBEDDING_SIZE - og_h) // 2
+        frame[y_center : y_center + og_h, x_center : x_center + og_w] = img
+
+        # Normalize to 0-1
+        frame = frame / 255.0
+
+        # Convert from HWC to CHW format and add batch dimension
+        frame = np.transpose(frame, (2, 0, 1))
+        frame = np.expand_dims(frame, axis=0)
+        return [{"images": frame}]
diff --git a/frigate/embeddings/onnx/runner.py b/frigate/embeddings/onnx/runner.py
new file mode 100644
index 000000000..c34c97a8d
--- /dev/null
+++ b/frigate/embeddings/onnx/runner.py
@@ -0,0 +1,109 @@
+"""Convenience runner for onnx models."""
+
+import logging
+import os.path
+from typing import Any
+
+import onnxruntime as ort
+
+from frigate.const import MODEL_CACHE_DIR
+from frigate.util.model import get_ort_providers
+
+try:
+    import openvino as ov
+except ImportError:
+    # openvino is not included
+    pass
+
+logger = logging.getLogger(__name__)
+
+
+class ONNXModelRunner:
+    """Run onnx models optimally based on available hardware."""
+
+    def __init__(self, model_path: str, device: str, requires_fp16: bool = False):
+        self.model_path = model_path
+        self.ort: ort.InferenceSession = None
+        self.ov: ov.Core = None
+        providers, options = get_ort_providers(device == "CPU", device, requires_fp16)
+        self.interpreter = None
+
+        if "OpenVINOExecutionProvider" in providers:
+            try:
+                # use OpenVINO directly
+                self.type = "ov"
+                self.ov = ov.Core()
+                self.ov.set_property(
+                    {ov.properties.cache_dir: os.path.join(MODEL_CACHE_DIR, "openvino")}
+                )
+                self.interpreter = self.ov.compile_model(
+                    model=model_path, device_name=device
+                )
+            except Exception as e:
+                logger.warning(
+                    f"OpenVINO failed to build model, using CPU instead: {e}"
+                )
+                self.interpreter = None
+
+        # Use ONNXRuntime
+        if self.interpreter is None:
+            self.type = "ort"
+            self.ort = ort.InferenceSession(
+                model_path,
+                providers=providers,
+                provider_options=options,
+            )
+
+    def get_input_names(self) -> list[str]:
+        if self.type == "ov":
+            input_names = []
+
+            for input in self.interpreter.inputs:
+                input_names.extend(input.names)
+
+            return input_names
+        elif self.type == "ort":
+            return [input.name for input in self.ort.get_inputs()]
+
+    def get_input_width(self):
+        """Get the input width of the model regardless of backend."""
+        if self.type == "ort":
+            return self.ort.get_inputs()[0].shape[3]
+        elif self.type == "ov":
+            input_info = self.interpreter.inputs
+            first_input = input_info[0]
+
+            try:
+                partial_shape = first_input.get_partial_shape()
+                # width dimension
+                if len(partial_shape) >= 4 and partial_shape[3].is_static:
+                    return partial_shape[3].get_length()
+
+                # If width is dynamic or we can't determine it
+                return -1
+            except Exception:
+                try:
+                    # gemini says some ov versions might still allow this
+                    input_shape = first_input.shape
+                    return input_shape[3] if len(input_shape) >= 4 else -1
+                except Exception:
+                    return -1
+        return -1
+
+    def run(self, input: dict[str, Any]) -> Any:
+        if self.type == "ov":
+            infer_request = self.interpreter.create_infer_request()
+
+            try:
+                # This ensures the model starts with a clean state for each sequence
+                # Important for RNN models like PaddleOCR recognition
+                infer_request.reset_state()
+            except Exception:
+                # this will raise an exception for models with AUTO set as the device
+                pass
+
+            outputs = infer_request.infer(input)
+
+            return outputs
+        elif self.type == "ort":
+            return self.ort.run(None, input)
diff --git a/frigate/events/audio.py b/frigate/events/audio.py
index 7675f821b..f2a217fd3 100644
--- a/frigate/events/audio.py
+++ b/frigate/events/audio.py
@@ -2,17 +2,22 @@
 
 import datetime
 import logging
+import random
+import string
 import threading
 import time
-from typing import Tuple
+from typing import Any, Tuple
 
 import numpy as np
-import requests
 
 import frigate.util as util
 from frigate.camera import CameraMetrics
 from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.detections_updater import DetectionPublisher, DetectionTypeEnum
+from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
+    EventMetadataTypeEnum,
+)
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import CameraConfig, CameraInput, FfmpegConfig
 from frigate.const import (
@@ -21,11 +26,10 @@ from frigate.const import (
     AUDIO_MAX_BIT_RANGE,
     AUDIO_MIN_CONFIDENCE,
     AUDIO_SAMPLE_RATE,
-    FRIGATE_LOCALHOST,
 )
 from frigate.ffmpeg_presets import parse_preset_input
 from frigate.log import LogPipe
-from frigate.object_detection import load_labels
+from frigate.object_detection.base import load_labels
 from frigate.util.builtin import get_ffmpeg_arg_list
 from frigate.video import start_or_restart_ffmpeg, stop_ffmpeg
 
@@ -122,7 +126,7 @@ class AudioEventMaintainer(threading.Thread):
 
         self.config = camera
         self.camera_metrics = camera_metrics
-        self.detections: dict[dict[str, any]] = {}
+        self.detections: dict[dict[str, Any]] = {}
         self.stop_event = stop_event
         self.detector = AudioTfl(stop_event, self.config.audio.num_threads)
         self.shape = (int(round(AUDIO_DURATION * AUDIO_SAMPLE_RATE)),)
@@ -135,7 +139,13 @@ class AudioEventMaintainer(threading.Thread):
         # create communication for audio detections
         self.requestor = InterProcessRequestor()
         self.config_subscriber = ConfigSubscriber(f"config/audio/{camera.name}")
+        self.enabled_subscriber = ConfigSubscriber(
+            f"config/enabled/{camera.name}", True
+        )
         self.detection_publisher = DetectionPublisher(DetectionTypeEnum.audio)
+        self.event_metadata_publisher = EventMetadataPublisher()
+
+        self.was_enabled = camera.enabled
 
     def detect_audio(self, audio) -> None:
         if not self.config.audio.enabled or self.stop_event.is_set():
@@ -202,24 +212,33 @@ class AudioEventMaintainer(threading.Thread):
                 datetime.datetime.now().timestamp()
             )
         else:
+            now = datetime.datetime.now().timestamp()
+            rand_id = "".join(
+                random.choices(string.ascii_lowercase + string.digits, k=6)
+            )
+            event_id = f"{now}-{rand_id}"
             self.requestor.send_data(f"{self.config.name}/audio/{label}", "ON")
 
-            resp = requests.post(
-                f"{FRIGATE_LOCALHOST}/api/events/{self.config.name}/{label}/create",
-                json={"duration": None, "score": score, "source_type": "audio"},
+            self.event_metadata_publisher.publish(
+                EventMetadataTypeEnum.manual_event_create,
+                (
+                    now,
+                    self.config.name,
+                    label,
+                    event_id,
+                    True,
+                    score,
+                    None,
+                    None,
+                    "audio",
+                    {},
+                ),
             )
-
-            if resp.status_code == 200:
-                event_id = resp.json()["event_id"]
-                self.detections[label] = {
-                    "id": event_id,
-                    "label": label,
-                    "last_detection": datetime.datetime.now().timestamp(),
-                }
-            else:
-                self.logger.warning(
-                    f"Failed to create audio event with status code {resp.status_code}"
-                )
+            self.detections[label] = {
+                "id": event_id,
+                "label": label,
+                "last_detection": now,
+            }
 
     def expire_detections(self) -> None:
         now = datetime.datetime.now().timestamp()
@@ -236,17 +255,23 @@ class AudioEventMaintainer(threading.Thread):
                     f"{self.config.name}/audio/{detection['label']}", "OFF"
                 )
 
-                resp = requests.put(
-                    f"{FRIGATE_LOCALHOST}/api/events/{detection['id']}/end",
-                    json={"end_time": detection["last_detection"]},
+                self.event_metadata_publisher.publish(
+                    EventMetadataTypeEnum.manual_event_end,
+                    (detection["id"], detection["last_detection"]),
                 )
+                self.detections[detection["label"]] = None
 
-                if resp.status_code == 200:
-                    self.detections[detection["label"]] = None
-                else:
-                    self.logger.warning(
-                        f"Failed to end audio event {detection['id']} with status code {resp.status_code}"
-                    )
+    def expire_all_detections(self) -> None:
+        """Immediately end all current detections"""
+        now = datetime.datetime.now().timestamp()
+        for label, detection in list(self.detections.items()):
+            if detection:
+                self.requestor.send_data(f"{self.config.name}/audio/{label}", "OFF")
+                self.event_metadata_publisher.publish(
+                    EventMetadataTypeEnum.manual_event_end,
+                    (detection["id"], now),
+                )
+                self.detections[label] = None
 
     def start_or_restart_ffmpeg(self) -> None:
         self.audio_listener = start_or_restart_ffmpeg(
@@ -283,10 +308,41 @@ class AudioEventMaintainer(threading.Thread):
             self.logger.error(f"Error reading audio data from ffmpeg process: {e}")
             log_and_restart()
 
+    def _update_enabled_state(self) -> bool:
+        """Fetch the latest config and update enabled state."""
+        _, config_data = self.enabled_subscriber.check_for_update()
+        if config_data:
+            self.config.enabled = config_data.enabled
+            return config_data.enabled
+
+        return self.config.enabled
+
     def run(self) -> None:
-        self.start_or_restart_ffmpeg()
+        if self._update_enabled_state():
+            self.start_or_restart_ffmpeg()
 
         while not self.stop_event.is_set():
+            enabled = self._update_enabled_state()
+            if enabled != self.was_enabled:
+                if enabled:
+                    self.logger.debug(
+                        f"Enabling audio detections for {self.config.name}"
+                    )
+                    self.start_or_restart_ffmpeg()
+                else:
+                    self.logger.debug(
+                        f"Disabling audio detections for {self.config.name}, ending events"
+                    )
+                    self.expire_all_detections()
+                    stop_ffmpeg(self.audio_listener, self.logger)
+                    self.audio_listener = None
+                self.was_enabled = enabled
+                continue
+
+            if not enabled:
+                time.sleep(0.1)
+                continue
+
             # check if there is an updated config
             (
                 updated_topic,
@@ -298,10 +354,12 @@ class AudioEventMaintainer(threading.Thread):
 
             self.read_audio()
 
-        stop_ffmpeg(self.audio_listener, self.logger)
+        if self.audio_listener:
+            stop_ffmpeg(self.audio_listener, self.logger)
         self.logpipe.close()
         self.requestor.stop()
         self.config_subscriber.stop()
+        self.enabled_subscriber.stop()
         self.detection_publisher.stop()
 
 
diff --git a/frigate/events/cleanup.py b/frigate/events/cleanup.py
index d4efb26e8..1e97ca14c 100644
--- a/frigate/events/cleanup.py
+++ b/frigate/events/cleanup.py
@@ -6,11 +6,13 @@ import os
 import threading
 from multiprocessing.synchronize import Event as MpEvent
 from pathlib import Path
+from typing import Any
 
 from frigate.config import FrigateConfig
 from frigate.const import CLIPS_DIR
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event, Timeline
+from frigate.util.path import delete_event_snapshot, delete_event_thumbnail
 
 logger = logging.getLogger(__name__)
 
@@ -28,7 +30,7 @@ class EventCleanup(threading.Thread):
         self.db = db
         self.camera_keys = list(self.config.cameras.keys())
         self.removed_camera_labels: list[str] = None
-        self.camera_labels: dict[str, dict[str, any]] = {}
+        self.camera_labels: dict[str, dict[str, Any]] = {}
 
     def get_removed_camera_labels(self) -> list[Event]:
         """Get a list of distinct labels for removed cameras."""
@@ -64,7 +66,6 @@ class EventCleanup(threading.Thread):
     def expire_snapshots(self) -> list[str]:
         ## Expire events from unlisted cameras based on the global config
         retain_config = self.config.snapshots.retain
-        file_extension = "jpg"
         update_params = {"has_snapshot": False}
 
         distinct_labels = self.get_removed_camera_labels()
@@ -83,6 +84,7 @@ class EventCleanup(threading.Thread):
                 Event.select(
                     Event.id,
                     Event.camera,
+                    Event.thumbnail,
                 )
                 .where(
                     Event.camera.not_in(self.camera_keys),
@@ -94,22 +96,15 @@ class EventCleanup(threading.Thread):
                 .iterator()
             )
             logger.debug(f"{len(list(expired_events))} events can be expired")
+
             # delete the media from disk
             for expired in expired_events:
-                media_name = f"{expired.camera}-{expired.id}"
-                media_path = Path(
-                    f"{os.path.join(CLIPS_DIR, media_name)}.{file_extension}"
-                )
+                deleted = delete_event_snapshot(expired)
 
-                try:
-                    media_path.unlink(missing_ok=True)
-                    if file_extension == "jpg":
-                        media_path = Path(
-                            f"{os.path.join(CLIPS_DIR, media_name)}-clean.png"
-                        )
-                        media_path.unlink(missing_ok=True)
-                except OSError as e:
-                    logger.warning(f"Unable to delete event images: {e}")
+                if not deleted:
+                    logger.warning(
+                        f"Unable to delete event images for {expired.camera}: {expired.id}"
+                    )
 
             # update the clips attribute for the db entry
             query = Event.select(Event.id).where(
@@ -165,6 +160,7 @@ class EventCleanup(threading.Thread):
                     Event.select(
                         Event.id,
                         Event.camera,
+                        Event.thumbnail,
                     )
                     .where(
                         Event.camera == name,
@@ -181,19 +177,12 @@ class EventCleanup(threading.Thread):
                 # so no need to delete mp4 files
                 for event in expired_events:
                     events_to_update.append(event.id)
+                    deleted = delete_event_snapshot(event)
 
-                    try:
-                        media_name = f"{event.camera}-{event.id}"
-                        media_path = Path(
-                            f"{os.path.join(CLIPS_DIR, media_name)}.{file_extension}"
+                    if not deleted:
+                        logger.warning(
+                            f"Unable to delete event images for {event.camera}: {event.id}"
                         )
-                        media_path.unlink(missing_ok=True)
-                        media_path = Path(
-                            f"{os.path.join(CLIPS_DIR, media_name)}-clean.png"
-                        )
-                        media_path.unlink(missing_ok=True)
-                    except OSError as e:
-                        logger.warning(f"Unable to delete event images: {e}")
 
         # update the clips attribute for the db entry
         for i in range(0, len(events_to_update), CHUNK_SIZE):
@@ -351,17 +340,22 @@ class EventCleanup(threading.Thread):
                 .where(Event.has_clip == False, Event.has_snapshot == False)
                 .iterator()
             )
-            events_to_delete = [e.id for e in events]
+            events_to_delete: list[Event] = [e for e in events]
+
+            for e in events_to_delete:
+                delete_event_thumbnail(e)
+
             logger.debug(f"Found {len(events_to_delete)} events that can be expired")
             if len(events_to_delete) > 0:
-                for i in range(0, len(events_to_delete), CHUNK_SIZE):
-                    chunk = events_to_delete[i : i + CHUNK_SIZE]
+                ids_to_delete = [e.id for e in events_to_delete]
+                for i in range(0, len(ids_to_delete), CHUNK_SIZE):
+                    chunk = ids_to_delete[i : i + CHUNK_SIZE]
                     logger.debug(f"Deleting {len(chunk)} events from the database")
                     Event.delete().where(Event.id << chunk).execute()
 
                     if self.config.semantic_search.enabled:
                         self.db.delete_embeddings_description(event_ids=chunk)
                         self.db.delete_embeddings_thumbnail(event_ids=chunk)
-                        logger.debug(f"Deleted {len(events_to_delete)} embeddings")
+                        logger.debug(f"Deleted {len(ids_to_delete)} embeddings")
 
         logger.info("Exiting event cleanup...")
diff --git a/frigate/events/external.py b/frigate/events/external.py
deleted file mode 100644
index 0d3408975..000000000
--- a/frigate/events/external.py
+++ /dev/null
@@ -1,190 +0,0 @@
-"""Handle external events created by the user."""
-
-import base64
-import datetime
-import logging
-import os
-import random
-import string
-from enum import Enum
-from typing import Optional
-
-import cv2
-from numpy import ndarray
-
-from frigate.comms.detections_updater import DetectionPublisher, DetectionTypeEnum
-from frigate.comms.events_updater import EventUpdatePublisher
-from frigate.config import CameraConfig, FrigateConfig
-from frigate.const import CLIPS_DIR
-from frigate.events.types import EventStateEnum, EventTypeEnum
-from frigate.util.image import draw_box_with_label
-
-logger = logging.getLogger(__name__)
-
-
-class ManualEventState(str, Enum):
-    complete = "complete"
-    start = "start"
-    end = "end"
-
-
-class ExternalEventProcessor:
-    def __init__(self, config: FrigateConfig) -> None:
-        self.config = config
-        self.default_thumbnail = None
-        self.event_sender = EventUpdatePublisher()
-        self.detection_updater = DetectionPublisher(DetectionTypeEnum.api)
-        self.event_camera = {}
-
-    def create_manual_event(
-        self,
-        camera: str,
-        label: str,
-        source_type: str,
-        sub_label: Optional[str],
-        score: int,
-        duration: Optional[int],
-        include_recording: bool,
-        draw: dict[str, any],
-        snapshot_frame: Optional[ndarray],
-    ) -> str:
-        now = datetime.datetime.now().timestamp()
-        camera_config = self.config.cameras.get(camera)
-
-        # create event id and start frame time
-        rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
-        event_id = f"{now}-{rand_id}"
-
-        thumbnail = self._write_images(
-            camera_config, label, event_id, draw, snapshot_frame
-        )
-        end = now + duration if duration is not None else None
-
-        self.event_sender.publish(
-            (
-                EventTypeEnum.api,
-                EventStateEnum.start,
-                camera,
-                "",
-                {
-                    "id": event_id,
-                    "label": label,
-                    "sub_label": sub_label,
-                    "score": score,
-                    "camera": camera,
-                    "start_time": now - camera_config.record.event_pre_capture,
-                    "end_time": end,
-                    "thumbnail": thumbnail,
-                    "has_clip": camera_config.record.enabled and include_recording,
-                    "has_snapshot": True,
-                    "type": source_type,
-                },
-            )
-        )
-
-        if source_type == "api":
-            self.event_camera[event_id] = camera
-            self.detection_updater.publish(
-                (
-                    camera,
-                    now,
-                    {
-                        "state": (
-                            ManualEventState.complete if end else ManualEventState.start
-                        ),
-                        "label": f"{label}: {sub_label}" if sub_label else label,
-                        "event_id": event_id,
-                        "end_time": end,
-                    },
-                )
-            )
-
-        return event_id
-
-    def finish_manual_event(self, event_id: str, end_time: float) -> None:
-        """Finish external event with indeterminate duration."""
-        self.event_sender.publish(
-            (
-                EventTypeEnum.api,
-                EventStateEnum.end,
-                None,
-                "",
-                {"id": event_id, "end_time": end_time},
-            )
-        )
-
-        if event_id in self.event_camera:
-            self.detection_updater.publish(
-                (
-                    self.event_camera[event_id],
-                    end_time,
-                    {
-                        "state": ManualEventState.end,
-                        "event_id": event_id,
-                        "end_time": end_time,
-                    },
-                )
-            )
-            self.event_camera.pop(event_id)
-
-    def _write_images(
-        self,
-        camera_config: CameraConfig,
-        label: str,
-        event_id: str,
-        draw: dict[str, any],
-        img_frame: Optional[ndarray],
-    ) -> Optional[str]:
-        if img_frame is None:
-            return None
-
-        # write clean snapshot if enabled
-        if camera_config.snapshots.clean_copy:
-            ret, png = cv2.imencode(".png", img_frame)
-
-            if ret:
-                with open(
-                    os.path.join(
-                        CLIPS_DIR,
-                        f"{camera_config.name}-{event_id}-clean.png",
-                    ),
-                    "wb",
-                ) as p:
-                    p.write(png.tobytes())
-
-        # write jpg snapshot with optional annotations
-        if draw.get("boxes") and isinstance(draw.get("boxes"), list):
-            for box in draw.get("boxes"):
-                x = int(box["box"][0] * camera_config.detect.width)
-                y = int(box["box"][1] * camera_config.detect.height)
-                width = int(box["box"][2] * camera_config.detect.width)
-                height = int(box["box"][3] * camera_config.detect.height)
-
-                draw_box_with_label(
-                    img_frame,
-                    x,
-                    y,
-                    x + width,
-                    y + height,
-                    label,
-                    f"{box.get('score', '-')}% {int(width * height)}",
-                    thickness=2,
-                    color=box.get("color", (255, 0, 0)),
-                )
-
-        ret, jpg = cv2.imencode(".jpg", img_frame)
-        with open(
-            os.path.join(CLIPS_DIR, f"{camera_config.name}-{event_id}.jpg"),
-            "wb",
-        ) as j:
-            j.write(jpg.tobytes())
-
-        # create thumbnail with max height of 175 and save
-        width = int(175 * img_frame.shape[1] / img_frame.shape[0])
-        thumb = cv2.resize(img_frame, dsize=(width, 175), interpolation=cv2.INTER_AREA)
-        ret, jpg = cv2.imencode(".jpg", thumb)
-        return base64.b64encode(jpg.tobytes()).decode("utf-8")
-
-    def stop(self):
-        self.event_sender.stop()
-        self.detection_updater.stop()
diff --git a/frigate/events/maintainer.py b/frigate/events/maintainer.py
index 68e7432ab..2b0fc4193 100644
--- a/frigate/events/maintainer.py
+++ b/frigate/events/maintainer.py
@@ -23,8 +23,13 @@ def should_update_db(prev_event: Event, current_event: Event) -> bool:
         if (
             prev_event["top_score"] != current_event["top_score"]
             or prev_event["entered_zones"] != current_event["entered_zones"]
-            or prev_event["thumbnail"] != current_event["thumbnail"]
             or prev_event["end_time"] != current_event["end_time"]
+            or prev_event["average_estimated_speed"]
+            != current_event["average_estimated_speed"]
+            or prev_event["velocity_angle"] != current_event["velocity_angle"]
+            or prev_event["recognized_license_plate"]
+            != current_event["recognized_license_plate"]
+            or prev_event["path_data"] != current_event["path_data"]
         ):
             return True
     return False
@@ -70,7 +75,7 @@ class EventProcessor(threading.Thread):
         ).execute()
 
         while not self.stop_event.is_set():
-            update = self.event_receiver.check_for_update()
+            update = self.event_receiver.check_for_update(timeout=1)
 
             if update == None:
                 continue
@@ -184,7 +189,7 @@ class EventProcessor(threading.Thread):
             )
 
             # keep these from being set back to false because the event
-            # may have started while recordings and snapshots were enabled
+            # may have started while recordings/snapshots/alerts/detections were enabled
             # this would be an issue for long running events
             if self.events_in_process[event_data["id"]]["has_clip"]:
                 event_data["has_clip"] = True
@@ -198,7 +203,7 @@ class EventProcessor(threading.Thread):
                 Event.start_time: start_time,
                 Event.end_time: end_time,
                 Event.zones: list(event_data["entered_zones"]),
-                Event.thumbnail: event_data["thumbnail"],
+                Event.thumbnail: event_data.get("thumbnail"),
                 Event.has_clip: event_data["has_clip"],
                 Event.has_snapshot: event_data["has_snapshot"],
                 Event.model_hash: first_detector.model.model_hash,
@@ -210,8 +215,11 @@ class EventProcessor(threading.Thread):
                     "score": score,
                     "top_score": event_data["top_score"],
                     "attributes": attributes,
+                    "average_estimated_speed": event_data["average_estimated_speed"],
+                    "velocity_angle": event_data["velocity_angle"],
                     "type": "object",
                     "max_severity": event_data.get("max_severity"),
+                    "path_data": event_data.get("path_data"),
                 },
             }
 
@@ -220,6 +228,15 @@ class EventProcessor(threading.Thread):
                 event[Event.sub_label] = event_data["sub_label"][0]
                 event[Event.data]["sub_label_score"] = event_data["sub_label"][1]
 
+            # only overwrite the recognized_license_plate in the database if it's set
+            if event_data.get("recognized_license_plate") is not None:
+                event[Event.data]["recognized_license_plate"] = event_data[
+                    "recognized_license_plate"
+                ][0]
+                event[Event.data]["recognized_license_plate_score"] = event_data[
+                    "recognized_license_plate"
+                ][1]
+
             (
                 Event.insert(event)
                 .on_conflict(
@@ -251,7 +268,7 @@ class EventProcessor(threading.Thread):
                 Event.camera: event_data["camera"],
                 Event.start_time: event_data["start_time"],
                 Event.end_time: event_data["end_time"],
-                Event.thumbnail: event_data["thumbnail"],
+                Event.thumbnail: event_data.get("thumbnail"),
                 Event.has_clip: event_data["has_clip"],
                 Event.has_snapshot: event_data["has_snapshot"],
                 Event.zones: [],
@@ -261,6 +278,13 @@ class EventProcessor(threading.Thread):
                     "top_score": event_data["score"],
                 },
             }
+            if event_data.get("recognized_license_plate") is not None:
+                event[Event.data]["recognized_license_plate"] = event_data[
+                    "recognized_license_plate"
+                ]
+                event[Event.data]["recognized_license_plate_score"] = event_data[
+                    "score"
+                ]
             Event.insert(event).execute()
         elif event_type == EventStateEnum.end:
             event = {
diff --git a/frigate/ffmpeg_presets.py b/frigate/ffmpeg_presets.py
index df0e36ff8..a26efae3e 100644
--- a/frigate/ffmpeg_presets.py
+++ b/frigate/ffmpeg_presets.py
@@ -6,9 +6,12 @@ from enum import Enum
 from typing import Any
 
 from frigate.const import (
+    FFMPEG_HVC1_ARGS,
     FFMPEG_HWACCEL_NVIDIA,
+    FFMPEG_HWACCEL_RKMPP,
     FFMPEG_HWACCEL_VAAPI,
     FFMPEG_HWACCEL_VULKAN,
+    LIBAVFORMAT_VERSION_MAJOR,
 )
 from frigate.util.services import vainfo_hwaccel
 from frigate.version import VERSION
@@ -50,9 +53,8 @@ class LibvaGpuSelector:
         return ""
 
 
-LIBAV_VERSION = int(os.getenv("LIBAVFORMAT_VERSION_MAJOR", "59") or "59")
-FPS_VFR_PARAM = "-fps_mode vfr" if LIBAV_VERSION >= 59 else "-vsync 2"
-TIMEOUT_PARAM = "-timeout" if LIBAV_VERSION >= 59 else "-stimeout"
+FPS_VFR_PARAM = "-fps_mode vfr" if LIBAVFORMAT_VERSION_MAJOR >= 59 else "-vsync 2"
+TIMEOUT_PARAM = "-timeout" if LIBAVFORMAT_VERSION_MAJOR >= 59 else "-stimeout"
 
 _gpu_selector = LibvaGpuSelector()
 _user_agent_args = [
@@ -64,13 +66,12 @@ PRESETS_HW_ACCEL_DECODE = {
     "preset-rpi-64-h264": "-c:v:1 h264_v4l2m2m",
     "preset-rpi-64-h265": "-c:v:1 hevc_v4l2m2m",
     FFMPEG_HWACCEL_VAAPI: f"-hwaccel_flags allow_profile_mismatch -hwaccel vaapi -hwaccel_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format vaapi",
-    "preset-intel-qsv-h264": f"-hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv -c:v h264_qsv{' -bsf:v dump_extra' if LIBAV_VERSION >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
-    "preset-intel-qsv-h265": f"-load_plugin hevc_hw -hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv{' -bsf:v dump_extra' if LIBAV_VERSION >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
+    "preset-intel-qsv-h264": f"-hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv -c:v h264_qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
+    "preset-intel-qsv-h265": f"-load_plugin hevc_hw -hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
     FFMPEG_HWACCEL_NVIDIA: "-hwaccel cuda -hwaccel_output_format cuda",
     "preset-jetson-h264": "-c:v h264_nvmpi -resize {1}x{2}",
     "preset-jetson-h265": "-c:v hevc_nvmpi -resize {1}x{2}",
-    "preset-rk-h264": "-hwaccel rkmpp -hwaccel_output_format drm_prime",
-    "preset-rk-h265": "-hwaccel rkmpp -hwaccel_output_format drm_prime",
+    f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra": "-hwaccel rkmpp -hwaccel_output_format drm_prime",
     # experimental presets
     FFMPEG_HWACCEL_VULKAN: "-hwaccel vulkan -init_hw_device vulkan=gpu:0 -filter_hw_device gpu -hwaccel_output_format vulkan",
 }
@@ -84,6 +85,16 @@ PRESETS_HW_ACCEL_DECODE["preset-nvidia-mjpeg"] = PRESETS_HW_ACCEL_DECODE[
     FFMPEG_HWACCEL_NVIDIA
 ]
 
+PRESETS_HW_ACCEL_DECODE[FFMPEG_HWACCEL_RKMPP] = (
+    f"{PRESETS_HW_ACCEL_DECODE[f'{FFMPEG_HWACCEL_RKMPP}-no-dump_extra']}{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}"
+)
+PRESETS_HW_ACCEL_DECODE["preset-rk-h264"] = PRESETS_HW_ACCEL_DECODE[
+    FFMPEG_HWACCEL_RKMPP
+]
+PRESETS_HW_ACCEL_DECODE["preset-rk-h265"] = PRESETS_HW_ACCEL_DECODE[
+    FFMPEG_HWACCEL_RKMPP
+]
+
 PRESETS_HW_ACCEL_SCALE = {
     "preset-rpi-64-h264": "-r {0} -vf fps={0},scale={1}:{2}",
     "preset-rpi-64-h265": "-r {0} -vf fps={0},scale={1}:{2}",
@@ -93,8 +104,7 @@ PRESETS_HW_ACCEL_SCALE = {
     FFMPEG_HWACCEL_NVIDIA: "-r {0} -vf fps={0},scale_cuda=w={1}:h={2},hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5",
     "preset-jetson-h264": "-r {0}",  # scaled in decoder
     "preset-jetson-h265": "-r {0}",  # scaled in decoder
-    "preset-rk-h264": "-r {0} -vf scale_rkrga=w={1}:h={2}:format=yuv420p:force_original_aspect_ratio=0,hwmap=mode=read,format=yuv420p",
-    "preset-rk-h265": "-r {0} -vf scale_rkrga=w={1}:h={2}:format=yuv420p:force_original_aspect_ratio=0,hwmap=mode=read,format=yuv420p",
+    FFMPEG_HWACCEL_RKMPP: "-r {0} -vf scale_rkrga=w={1}:h={2}:format=yuv420p:force_original_aspect_ratio=0,hwmap=mode=read,format=yuv420p",
     "default": "-r {0} -vf fps={0},scale={1}:{2}",
     # experimental presets
     FFMPEG_HWACCEL_VULKAN: "-r {0} -vf fps={0},hwupload,scale_vulkan=w={1}:h={2},hwdownload",
@@ -106,6 +116,12 @@ PRESETS_HW_ACCEL_SCALE["preset-nvidia-h265"] = PRESETS_HW_ACCEL_SCALE[
     FFMPEG_HWACCEL_NVIDIA
 ]
 
+PRESETS_HW_ACCEL_SCALE[f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra"] = (
+    PRESETS_HW_ACCEL_SCALE[FFMPEG_HWACCEL_RKMPP]
+)
+PRESETS_HW_ACCEL_SCALE["preset-rk-h264"] = PRESETS_HW_ACCEL_SCALE[FFMPEG_HWACCEL_RKMPP]
+PRESETS_HW_ACCEL_SCALE["preset-rk-h265"] = PRESETS_HW_ACCEL_SCALE[FFMPEG_HWACCEL_RKMPP]
+
 PRESETS_HW_ACCEL_ENCODE_BIRDSEYE = {
     "preset-rpi-64-h264": "{0} -hide_banner {1} -c:v h264_v4l2m2m {2}",
     "preset-rpi-64-h265": "{0} -hide_banner {1} -c:v hevc_v4l2m2m {2}",
@@ -115,7 +131,7 @@ PRESETS_HW_ACCEL_ENCODE_BIRDSEYE = {
     FFMPEG_HWACCEL_NVIDIA: "{0} -hide_banner {1} -c:v h264_nvenc -g 50 -profile:v high -level:v auto -preset:v p2 -tune:v ll {2}",
     "preset-jetson-h264": "{0} -hide_banner {1} -c:v h264_nvmpi -profile high {2}",
     "preset-jetson-h265": "{0} -hide_banner {1} -c:v h264_nvmpi -profile main {2}",
-    "preset-rk-h264": "{0} -hide_banner {1} -c:v h264_rkmpp -profile:v high {2}",
+    FFMPEG_HWACCEL_RKMPP: "{0} -hide_banner {1} -c:v h264_rkmpp -profile:v high {2}",
     "preset-rk-h265": "{0} -hide_banner {1} -c:v hevc_rkmpp -profile:v main {2}",
     "default": "{0} -hide_banner {1} -c:v libx264 -g 50 -profile:v high -level:v 4.1 -preset:v superfast -tune:v zerolatency {2}",
 }
@@ -126,6 +142,13 @@ PRESETS_HW_ACCEL_ENCODE_BIRDSEYE["preset-nvidia-h265"] = (
     PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[FFMPEG_HWACCEL_NVIDIA]
 )
 
+PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra"] = (
+    PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[FFMPEG_HWACCEL_RKMPP]
+)
+PRESETS_HW_ACCEL_ENCODE_BIRDSEYE["preset-rk-h264"] = PRESETS_HW_ACCEL_ENCODE_BIRDSEYE[
+    FFMPEG_HWACCEL_RKMPP
+]
+
 PRESETS_HW_ACCEL_ENCODE_TIMELAPSE = {
     "preset-rpi-64-h264": "{0} -hide_banner {1} -c:v h264_v4l2m2m -pix_fmt yuv420p {2}",
     "preset-rpi-64-h265": "{0} -hide_banner {1} -c:v hevc_v4l2m2m -pix_fmt yuv420p {2}",
@@ -136,7 +159,7 @@ PRESETS_HW_ACCEL_ENCODE_TIMELAPSE = {
     "preset-nvidia-h265": "{0} -hide_banner -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 8 {1} -c:v hevc_nvenc {2}",
     "preset-jetson-h264": "{0} -hide_banner {1} -c:v h264_nvmpi -profile high {2}",
     "preset-jetson-h265": "{0} -hide_banner {1} -c:v hevc_nvmpi -profile main {2}",
-    "preset-rk-h264": "{0} -hide_banner {1} -c:v h264_rkmpp -profile:v high {2}",
+    FFMPEG_HWACCEL_RKMPP: "{0} -hide_banner {1} -c:v h264_rkmpp -profile:v high {2}",
     "preset-rk-h265": "{0} -hide_banner {1} -c:v hevc_rkmpp -profile:v main {2}",
     "default": "{0} -hide_banner {1} -c:v libx264 -preset:v ultrafast -tune:v zerolatency {2}",
 }
@@ -144,6 +167,13 @@ PRESETS_HW_ACCEL_ENCODE_TIMELAPSE["preset-nvidia-h264"] = (
     PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[FFMPEG_HWACCEL_NVIDIA]
 )
 
+PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra"] = (
+    PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[FFMPEG_HWACCEL_RKMPP]
+)
+PRESETS_HW_ACCEL_ENCODE_TIMELAPSE["preset-rk-h264"] = PRESETS_HW_ACCEL_ENCODE_TIMELAPSE[
+    FFMPEG_HWACCEL_RKMPP
+]
+
 # encoding of previews is only done on CPU due to comparable encode times and better quality from libx264
 PRESETS_HW_ACCEL_ENCODE_PREVIEW = {
     "default": "{0} -hide_banner {1} -c:v libx264 -profile:v baseline -preset:v ultrafast {2}",
@@ -282,7 +312,7 @@ PRESETS_INPUT = {
         "-probesize",
         "1000M",
         "-rw_timeout",
-        "5000000",
+        "10000000",
     ],
     "preset-rtmp-generic": [
         "-avoid_negative_ts",
@@ -296,7 +326,7 @@ PRESETS_INPUT = {
         "-fflags",
         "+genpts+discardcorrupt",
         "-rw_timeout",
-        "5000000",
+        "10000000",
         "-use_wallclock_as_timestamps",
         "1",
         "-f",
@@ -311,7 +341,7 @@ PRESETS_INPUT = {
         "-rtsp_transport",
         "tcp",
         TIMEOUT_PARAM,
-        "5000000",
+        "10000000",
         "-use_wallclock_as_timestamps",
         "1",
     ],
@@ -320,14 +350,14 @@ PRESETS_INPUT = {
         "-rtsp_transport",
         "tcp",
         TIMEOUT_PARAM,
-        "5000000",
+        "10000000",
     ],
     "preset-rtsp-restream-low-latency": _user_agent_args
     + [
         "-rtsp_transport",
         "tcp",
         TIMEOUT_PARAM,
-        "5000000",
+        "10000000",
         "-fflags",
         "nobuffer",
         "-flags",
@@ -342,7 +372,7 @@ PRESETS_INPUT = {
         "-rtsp_transport",
         "udp",
         TIMEOUT_PARAM,
-        "5000000",
+        "10000000",
         "-use_wallclock_as_timestamps",
         "1",
     ],
@@ -361,7 +391,7 @@ PRESETS_INPUT = {
         "-rtsp_transport",
         "tcp",
         TIMEOUT_PARAM,
-        "5000000",
+        "10000000",
         "-use_wallclock_as_timestamps",
         "1",
     ],
@@ -490,6 +520,6 @@ def parse_preset_output_record(arg: Any, force_record_hvc1: bool) -> list[str]:
 
     if force_record_hvc1:
         # Apple only supports HEVC if it is hvc1 (vs. hev1)
-        preset += ["-tag:v", "hvc1"]
+        return preset + FFMPEG_HVC1_ARGS
 
     return preset
diff --git a/frigate/genai/openai.py b/frigate/genai/openai.py
index 4568905a3..76ba8cb44 100644
--- a/frigate/genai/openai.py
+++ b/frigate/genai/openai.py
@@ -26,30 +26,41 @@ class OpenAIClient(GenAIClient):
     def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
         """Submit a request to OpenAI."""
         encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
+        messages_content = []
+        for image in encoded_images:
+            messages_content.append(
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": f"data:image/jpeg;base64,{image}",
+                        "detail": "low",
+                    },
+                }
+            )
+        messages_content.append(
+            {
+                "type": "text",
+                "text": prompt,
+            }
+        )
         try:
             result = self.provider.chat.completions.create(
                 model=self.genai_config.model,
                 messages=[
                     {
                         "role": "user",
-                        "content": [
-                            {
-                                "type": "image_url",
-                                "image_url": {
-                                    "url": f"data:image/jpeg;base64,{image}",
-                                    "detail": "low",
-                                },
-                            }
-                            for image in encoded_images
-                        ]
-                        + [prompt],
+                        "content": messages_content,
                     },
                 ],
                 timeout=self.timeout,
             )
-        except TimeoutException as e:
+            if (
+                result is not None
+                and hasattr(result, "choices")
+                and len(result.choices) > 0
+            ):
+                return result.choices[0].message.content.strip()
+            return None
+        except (TimeoutException, Exception) as e:
             logger.warning("OpenAI returned an error: %s", str(e))
             return None
-        if len(result.choices) > 0:
-            return result.choices[0].message.content.strip()
-        return None
diff --git a/frigate/log.py b/frigate/log.py
index 079fc6107..096b52215 100644
--- a/frigate/log.py
+++ b/frigate/log.py
@@ -1,3 +1,4 @@
+# In log.py
 import atexit
 import logging
 import multiprocessing as mp
@@ -6,6 +7,7 @@ import sys
 import threading
 from collections import deque
 from logging.handlers import QueueHandler, QueueListener
+from queue import Queue
 from typing import Deque, Optional
 
 from frigate.util.builtin import clean_camera_user_pass
@@ -18,19 +20,28 @@ LOG_HANDLER.setFormatter(
     )
 )
 
+# filter out norfair warning
 LOG_HANDLER.addFilter(
     lambda record: not record.getMessage().startswith(
         "You are using a scalar distance function"
     )
 )
 
+# filter out tflite logging
+LOG_HANDLER.addFilter(
+    lambda record: "Created TensorFlow Lite XNNPACK delegate for CPU."
+    not in record.getMessage()
+)
+
 log_listener: Optional[QueueListener] = None
+log_queue: Optional[Queue] = None
+manager = None
 
 
 def setup_logging() -> None:
-    global log_listener
-
-    log_queue: mp.Queue = mp.Queue()
+    global log_listener, log_queue, manager
+    manager = mp.Manager()
+    log_queue = manager.Queue()
     log_listener = QueueListener(log_queue, LOG_HANDLER, respect_handler_level=True)
 
     atexit.register(_stop_logging)
@@ -46,11 +57,13 @@ def setup_logging() -> None:
 
 
 def _stop_logging() -> None:
-    global log_listener
-
+    global log_listener, manager
     if log_listener is not None:
         log_listener.stop()
         log_listener = None
+    if manager is not None:
+        manager.shutdown()
+        manager = None
 
 
 # When a multiprocessing.Process exits, python tries to flush stdout and stderr. However, if the
diff --git a/frigate/models.py b/frigate/models.py
index 62bbf0bd3..5aa0dc5b2 100644
--- a/frigate/models.py
+++ b/frigate/models.py
@@ -3,6 +3,7 @@ from peewee import (
     CharField,
     DateTimeField,
     FloatField,
+    ForeignKeyField,
     IntegerField,
     Model,
     TextField,
@@ -92,12 +93,20 @@ class ReviewSegment(Model):  # type: ignore[misc]
     camera = CharField(index=True, max_length=20)
     start_time = DateTimeField()
     end_time = DateTimeField()
-    has_been_reviewed = BooleanField(default=False)
     severity = CharField(max_length=30)  # alert, detection
     thumb_path = CharField(unique=True)
     data = JSONField()  # additional data about detection like list of labels, zone, areas of significant motion
 
 
+class UserReviewStatus(Model):  # type: ignore[misc]
+    user_id = CharField(max_length=30)
+    review_segment = ForeignKeyField(ReviewSegment, backref="user_reviews")
+    has_been_reviewed = BooleanField(default=False)
+
+    class Meta:
+        indexes = ((("user_id", "review_segment"), True),)
+
+
 class Previews(Model):  # type: ignore[misc]
     id = CharField(null=False, primary_key=True, max_length=30)
     camera = CharField(index=True, max_length=20)
@@ -117,5 +126,9 @@ class RecordingsToDelete(Model):  # type: ignore[misc]
 
 class User(Model):  # type: ignore[misc]
     username = CharField(null=False, primary_key=True, max_length=30)
+    role = CharField(
+        max_length=20,
+        default="admin",
+    )
     password_hash = CharField(null=False, max_length=120)
     notification_tokens = JSONField()
diff --git a/frigate/motion/frigate_motion.py b/frigate/motion/frigate_motion.py
index 72097667b..fd362de34 100644
--- a/frigate/motion/frigate_motion.py
+++ b/frigate/motion/frigate_motion.py
@@ -1,9 +1,9 @@
 import cv2
-import imutils
 import numpy as np
 
 from frigate.config import MotionConfig
 from frigate.motion import MotionDetector
+from frigate.util.image import grab_cv2_contours
 
 
 class FrigateMotionDetector(MotionDetector):
@@ -103,7 +103,7 @@ class FrigateMotionDetector(MotionDetector):
             contours = cv2.findContours(
                 thresh_dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
             )
-            contours = imutils.grab_contours(contours)
+            contours = grab_cv2_contours(contours)
 
             # loop over the contours
             for c in contours:
diff --git a/frigate/motion/improved_motion.py b/frigate/motion/improved_motion.py
index 297337560..69de6d015 100644
--- a/frigate/motion/improved_motion.py
+++ b/frigate/motion/improved_motion.py
@@ -1,13 +1,14 @@
 import logging
 
 import cv2
-import imutils
 import numpy as np
 from scipy.ndimage import gaussian_filter
 
+from frigate.camera import PTZMetrics
 from frigate.comms.config_updater import ConfigSubscriber
 from frigate.config import MotionConfig
 from frigate.motion import MotionDetector
+from frigate.util.image import grab_cv2_contours
 
 logger = logging.getLogger(__name__)
 
@@ -18,6 +19,7 @@ class ImprovedMotionDetector(MotionDetector):
         frame_shape,
         config: MotionConfig,
         fps: int,
+        ptz_metrics: PTZMetrics = None,
         name="improved",
         blur_radius=1,
         interpolation=cv2.INTER_NEAREST,
@@ -47,7 +49,9 @@ class ImprovedMotionDetector(MotionDetector):
         self.contrast_values = np.zeros((contrast_frame_history, 2), np.uint8)
         self.contrast_values[:, 1:2] = 255
         self.contrast_values_index = 0
-        self.config_subscriber = ConfigSubscriber(f"config/motion/{name}")
+        self.config_subscriber = ConfigSubscriber(f"config/motion/{name}", True)
+        self.ptz_metrics = ptz_metrics
+        self.last_stop_time = None
 
     def is_calibrating(self):
         return self.calibrating
@@ -64,6 +68,21 @@ class ImprovedMotionDetector(MotionDetector):
         if not self.config.enabled:
             return motion_boxes
 
+        # if ptz motor is moving from autotracking, quickly return
+        # a single box that is 80% of the frame
+        if (
+            self.ptz_metrics.autotracker_enabled.value
+            and not self.ptz_metrics.motor_stopped.is_set()
+        ):
+            return [
+                (
+                    int(self.frame_shape[1] * 0.1),
+                    int(self.frame_shape[0] * 0.1),
+                    int(self.frame_shape[1] * 0.9),
+                    int(self.frame_shape[0] * 0.9),
+                )
+            ]
+
         gray = frame[0 : self.frame_shape[0], 0 : self.frame_shape[1]]
 
         # resize frame
@@ -128,7 +147,7 @@ class ImprovedMotionDetector(MotionDetector):
         contours = cv2.findContours(
             thresh_dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
         )
-        contours = imutils.grab_contours(contours)
+        contours = grab_cv2_contours(contours)
 
         # loop over the contours
         total_contour_area = 0
@@ -151,6 +170,25 @@ class ImprovedMotionDetector(MotionDetector):
             self.motion_frame_size[0] * self.motion_frame_size[1]
         )
 
+        # check if the motor has just stopped from autotracking
+        # if so, reassign the average to the current frame so we begin with a new baseline
+        if (
+            # ensure we only do this for cameras with autotracking enabled
+            self.ptz_metrics.autotracker_enabled.value
+            and self.ptz_metrics.motor_stopped.is_set()
+            and (
+                self.last_stop_time is None
+                or self.ptz_metrics.stop_time.value != self.last_stop_time
+            )
+            # value is 0 on startup or when motor is moving
+            and self.ptz_metrics.stop_time.value != 0
+        ):
+            self.last_stop_time = self.ptz_metrics.stop_time.value
+
+            self.avg_frame = resized_frame.astype(np.float32)
+            motion_boxes = []
+            pct_motion = 0
+
         # once the motion is less than 5% and the number of contours is < 4, assume its calibrated
         if pct_motion < 0.05 and len(motion_boxes) <= 4:
             self.calibrating = False
diff --git a/frigate/mypy.ini b/frigate/mypy.ini
index dd726f454..c687a254d 100644
--- a/frigate/mypy.ini
+++ b/frigate/mypy.ini
@@ -1,5 +1,5 @@
 [mypy]
-python_version = 3.9
+python_version = 3.11
 show_error_codes = true
 follow_imports = normal
 ignore_missing_imports = true
diff --git a/frigate/object_detection.py b/frigate/object_detection/base.py
similarity index 86%
rename from frigate/object_detection.py
rename to frigate/object_detection/base.py
index 022e565f0..c77a720a0 100644
--- a/frigate/object_detection.py
+++ b/frigate/object_detection/base.py
@@ -6,6 +6,8 @@ import queue
 import signal
 import threading
 from abc import ABC, abstractmethod
+from multiprocessing import Queue, Value
+from multiprocessing.synchronize import Event as MpEvent
 
 import numpy as np
 from setproctitle import setproctitle
@@ -15,13 +17,14 @@ from frigate.detectors import create_detector
 from frigate.detectors.detector_config import (
     BaseDetectorConfig,
     InputDTypeEnum,
-    InputTensorEnum,
+    ModelConfig,
 )
-from frigate.detectors.plugins.rocm import DETECTOR_KEY as ROCM_DETECTOR_KEY
 from frigate.util.builtin import EventsPerSecond, load_labels
 from frigate.util.image import SharedMemoryFrameManager, UntrackedSharedMemory
 from frigate.util.services import listen
 
+from .util import tensor_transform
+
 logger = logging.getLogger(__name__)
 
 
@@ -31,14 +34,6 @@ class ObjectDetector(ABC):
         pass
 
 
-def tensor_transform(desired_shape: InputTensorEnum):
-    # Currently this function only supports BHWC permutations
-    if desired_shape == InputTensorEnum.nhwc:
-        return None
-    elif desired_shape == InputTensorEnum.nchw:
-        return (0, 3, 1, 2)
-
-
 class LocalObjectDetector(ObjectDetector):
     def __init__(
         self,
@@ -52,13 +47,7 @@ class LocalObjectDetector(ObjectDetector):
             self.labels = load_labels(labels)
 
         if detector_config:
-            if detector_config.type == ROCM_DETECTOR_KEY:
-                # ROCm requires NHWC as input
-                self.input_transform = None
-            else:
-                self.input_transform = tensor_transform(
-                    detector_config.model.input_tensor
-                )
+            self.input_transform = tensor_transform(detector_config.model.input_tensor)
 
             self.dtype = detector_config.model.input_dtype
         else:
@@ -91,17 +80,19 @@ class LocalObjectDetector(ObjectDetector):
         if self.dtype == InputDTypeEnum.float:
             tensor_input = tensor_input.astype(np.float32)
             tensor_input /= 255
+        elif self.dtype == InputDTypeEnum.float_denorm:
+            tensor_input = tensor_input.astype(np.float32)
 
         return self.detect_api.detect_raw(tensor_input=tensor_input)
 
 
 def run_detector(
     name: str,
-    detection_queue: mp.Queue,
-    out_events: dict[str, mp.Event],
-    avg_speed,
-    start,
-    detector_config,
+    detection_queue: Queue,
+    out_events: dict[str, MpEvent],
+    avg_speed: Value,
+    start: Value,
+    detector_config: BaseDetectorConfig,
 ):
     threading.current_thread().name = f"detector:{name}"
     logger = logging.getLogger(f"detector.{name}")
@@ -109,7 +100,7 @@ def run_detector(
     setproctitle(f"frigate.detector.{name}")
     listen()
 
-    stop_event = mp.Event()
+    stop_event: MpEvent = mp.Event()
 
     def receiveSignal(signalNumber, frame):
         stop_event.set()
@@ -157,17 +148,17 @@ def run_detector(
 class ObjectDetectProcess:
     def __init__(
         self,
-        name,
-        detection_queue,
-        out_events,
-        detector_config,
+        name: str,
+        detection_queue: Queue,
+        out_events: dict[str, MpEvent],
+        detector_config: BaseDetectorConfig,
     ):
         self.name = name
         self.out_events = out_events
         self.detection_queue = detection_queue
-        self.avg_inference_speed = mp.Value("d", 0.01)
-        self.detection_start = mp.Value("d", 0.0)
-        self.detect_process = None
+        self.avg_inference_speed = Value("d", 0.01)
+        self.detection_start = Value("d", 0.0)
+        self.detect_process: util.Process | None = None
         self.detector_config = detector_config
         self.start_or_restart()
 
@@ -205,7 +196,15 @@ class ObjectDetectProcess:
 
 
 class RemoteObjectDetector:
-    def __init__(self, name, labels, detection_queue, event, model_config, stop_event):
+    def __init__(
+        self,
+        name: str,
+        labels: dict[int, str],
+        detection_queue: Queue,
+        event: MpEvent,
+        model_config: ModelConfig,
+        stop_event: MpEvent,
+    ):
         self.labels = labels
         self.name = name
         self.fps = EventsPerSecond()
diff --git a/frigate/object_detection/util.py b/frigate/object_detection/util.py
new file mode 100644
index 000000000..ea8bd4226
--- /dev/null
+++ b/frigate/object_detection/util.py
@@ -0,0 +1,77 @@
+"""Object detection utilities."""
+
+import queue
+import threading
+
+from numpy import ndarray
+
+from frigate.detectors.detector_config import InputTensorEnum
+
+
+class RequestStore:
+    """
+    A thread-safe hash-based response store that handles creating requests.
+    """
+
+    def __init__(self):
+        self.request_counter = 0
+        self.request_counter_lock = threading.Lock()
+        self.input_queue = queue.Queue()
+
+    def __get_request_id(self) -> int:
+        with self.request_counter_lock:
+            request_id = self.request_counter
+            self.request_counter += 1
+            if self.request_counter > 1000000:
+                self.request_counter = 0
+        return request_id
+
+    def put(self, tensor_input: ndarray) -> int:
+        request_id = self.__get_request_id()
+        self.input_queue.put((request_id, tensor_input))
+        return request_id
+
+    def get(self) -> tuple[int, ndarray] | None:
+        try:
+            return self.input_queue.get()
+        except Exception:
+            return None
+
+
+class ResponseStore:
+    """
+    A thread-safe hash-based response store that maps request IDs
+    to their results. Threads can wait on the condition variable until
+    their request's result appears.
+    """
+
+    def __init__(self):
+        self.responses = {}  # Maps request_id -> (original_input, infer_results)
+        self.lock = threading.Lock()
+        self.cond = threading.Condition(self.lock)
+
+    def put(self, request_id: int, response: ndarray):
+        with self.cond:
+            self.responses[request_id] = response
+            self.cond.notify_all()
+
+    def get(self, request_id: int, timeout=None) -> ndarray:
+        with self.cond:
+            if not self.cond.wait_for(
+                lambda: request_id in self.responses, timeout=timeout
+            ):
+                raise TimeoutError(f"Timeout waiting for response {request_id}")
+
+            return self.responses.pop(request_id)
+
+
+def tensor_transform(desired_shape: InputTensorEnum):
+    # Currently this function only supports BHWC permutations
+    if desired_shape == InputTensorEnum.nhwc:
+        return None
+    elif desired_shape == InputTensorEnum.nchw:
+        return (0, 3, 1, 2)
+    elif desired_shape == InputTensorEnum.hwnc:
+        return (1, 2, 0, 3)
+    elif desired_shape == InputTensorEnum.hwcn:
+        return (1, 2, 3, 0)
diff --git a/frigate/object_processing.py b/frigate/object_processing.py
deleted file mode 100644
index bdc6d8d72..000000000
--- a/frigate/object_processing.py
+++ /dev/null
@@ -1,952 +0,0 @@
-import datetime
-import json
-import logging
-import os
-import queue
-import threading
-from collections import Counter, defaultdict
-from multiprocessing.synchronize import Event as MpEvent
-from typing import Callable, Optional
-
-import cv2
-import numpy as np
-
-from frigate.comms.detections_updater import DetectionPublisher, DetectionTypeEnum
-from frigate.comms.dispatcher import Dispatcher
-from frigate.comms.events_updater import EventEndSubscriber, EventUpdatePublisher
-from frigate.comms.inter_process import InterProcessRequestor
-from frigate.config import (
-    FrigateConfig,
-    MqttConfig,
-    RecordConfig,
-    SnapshotsConfig,
-    ZoomingModeEnum,
-)
-from frigate.const import CLIPS_DIR, UPDATE_CAMERA_ACTIVITY
-from frigate.events.types import EventStateEnum, EventTypeEnum
-from frigate.ptz.autotrack import PtzAutoTrackerThread
-from frigate.track.tracked_object import TrackedObject
-from frigate.util.image import (
-    SharedMemoryFrameManager,
-    draw_box_with_label,
-    draw_timestamp,
-    is_better_thumbnail,
-    is_label_printable,
-)
-
-logger = logging.getLogger(__name__)
-
-
-# Maintains the state of a camera
-class CameraState:
-    def __init__(
-        self,
-        name,
-        config: FrigateConfig,
-        frame_manager: SharedMemoryFrameManager,
-        ptz_autotracker_thread: PtzAutoTrackerThread,
-    ):
-        self.name = name
-        self.config = config
-        self.camera_config = config.cameras[name]
-        self.frame_manager = frame_manager
-        self.best_objects: dict[str, TrackedObject] = {}
-        self.object_counts = defaultdict(int)
-        self.active_object_counts = defaultdict(int)
-        self.tracked_objects: dict[str, TrackedObject] = {}
-        self.frame_cache = {}
-        self.zone_objects = defaultdict(list)
-        self._current_frame = np.zeros(self.camera_config.frame_shape_yuv, np.uint8)
-        self.current_frame_lock = threading.Lock()
-        self.current_frame_time = 0.0
-        self.motion_boxes = []
-        self.regions = []
-        self.previous_frame_id = None
-        self.callbacks = defaultdict(list)
-        self.ptz_autotracker_thread = ptz_autotracker_thread
-
-    def get_current_frame(self, draw_options={}):
-        with self.current_frame_lock:
-            frame_copy = np.copy(self._current_frame)
-            frame_time = self.current_frame_time
-            tracked_objects = {k: v.to_dict() for k, v in self.tracked_objects.items()}
-            motion_boxes = self.motion_boxes.copy()
-            regions = self.regions.copy()
-
-        frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
-        # draw on the frame
-        if draw_options.get("mask"):
-            mask_overlay = np.where(self.camera_config.motion.mask == [0])
-            frame_copy[mask_overlay] = [0, 0, 0]
-
-        if draw_options.get("bounding_boxes"):
-            # draw the bounding boxes on the frame
-            for obj in tracked_objects.values():
-                if obj["frame_time"] == frame_time:
-                    if obj["stationary"]:
-                        color = (220, 220, 220)
-                        thickness = 1
-                    else:
-                        thickness = 2
-                        color = self.config.model.colormap[obj["label"]]
-                else:
-                    thickness = 1
-                    color = (255, 0, 0)
-
-                # draw thicker box around ptz autotracked object
-                if (
-                    self.camera_config.onvif.autotracking.enabled
-                    and self.ptz_autotracker_thread.ptz_autotracker.autotracker_init[
-                        self.name
-                    ]
-                    and self.ptz_autotracker_thread.ptz_autotracker.tracked_object[
-                        self.name
-                    ]
-                    is not None
-                    and obj["id"]
-                    == self.ptz_autotracker_thread.ptz_autotracker.tracked_object[
-                        self.name
-                    ].obj_data["id"]
-                    and obj["frame_time"] == frame_time
-                ):
-                    thickness = 5
-                    color = self.config.model.colormap[obj["label"]]
-
-                    # debug autotracking zooming - show the zoom factor box
-                    if (
-                        self.camera_config.onvif.autotracking.zooming
-                        != ZoomingModeEnum.disabled
-                    ):
-                        max_target_box = self.ptz_autotracker_thread.ptz_autotracker.tracked_object_metrics[
-                            self.name
-                        ]["max_target_box"]
-                        side_length = max_target_box * (
-                            max(
-                                self.camera_config.detect.width,
-                                self.camera_config.detect.height,
-                            )
-                        )
-
-                        centroid_x = (obj["box"][0] + obj["box"][2]) // 2
-                        centroid_y = (obj["box"][1] + obj["box"][3]) // 2
-                        top_left = (
-                            int(centroid_x - side_length // 2),
-                            int(centroid_y - side_length // 2),
-                        )
-                        bottom_right = (
-                            int(centroid_x + side_length // 2),
-                            int(centroid_y + side_length // 2),
-                        )
-                        cv2.rectangle(
-                            frame_copy,
-                            top_left,
-                            bottom_right,
-                            (255, 255, 0),
-                            2,
-                        )
-
-                # draw the bounding boxes on the frame
-                box = obj["box"]
-                text = (
-                    obj["label"]
-                    if (
-                        not obj.get("sub_label")
-                        or not is_label_printable(obj["sub_label"][0])
-                    )
-                    else obj["sub_label"][0]
-                )
-                draw_box_with_label(
-                    frame_copy,
-                    box[0],
-                    box[1],
-                    box[2],
-                    box[3],
-                    text,
-                    f"{obj['score']:.0%} {int(obj['area'])}",
-                    thickness=thickness,
-                    color=color,
-                )
-
-                # draw any attributes
-                for attribute in obj["current_attributes"]:
-                    box = attribute["box"]
-                    draw_box_with_label(
-                        frame_copy,
-                        box[0],
-                        box[1],
-                        box[2],
-                        box[3],
-                        attribute["label"],
-                        f"{attribute['score']:.0%}",
-                        thickness=thickness,
-                        color=color,
-                    )
-
-        if draw_options.get("regions"):
-            for region in regions:
-                cv2.rectangle(
-                    frame_copy,
-                    (region[0], region[1]),
-                    (region[2], region[3]),
-                    (0, 255, 0),
-                    2,
-                )
-
-        if draw_options.get("zones"):
-            for name, zone in self.camera_config.zones.items():
-                thickness = (
-                    8
-                    if any(
-                        name in obj["current_zones"] for obj in tracked_objects.values()
-                    )
-                    else 2
-                )
-                cv2.drawContours(frame_copy, [zone.contour], -1, zone.color, thickness)
-
-        if draw_options.get("motion_boxes"):
-            for m_box in motion_boxes:
-                cv2.rectangle(
-                    frame_copy,
-                    (m_box[0], m_box[1]),
-                    (m_box[2], m_box[3]),
-                    (0, 0, 255),
-                    2,
-                )
-
-        if draw_options.get("timestamp"):
-            color = self.camera_config.timestamp_style.color
-            draw_timestamp(
-                frame_copy,
-                frame_time,
-                self.camera_config.timestamp_style.format,
-                font_effect=self.camera_config.timestamp_style.effect,
-                font_thickness=self.camera_config.timestamp_style.thickness,
-                font_color=(color.blue, color.green, color.red),
-                position=self.camera_config.timestamp_style.position,
-            )
-
-        return frame_copy
-
-    def finished(self, obj_id):
-        del self.tracked_objects[obj_id]
-
-    def on(self, event_type: str, callback: Callable[[dict], None]):
-        self.callbacks[event_type].append(callback)
-
-    def update(
-        self,
-        frame_name: str,
-        frame_time: float,
-        current_detections: dict[str, dict[str, any]],
-        motion_boxes: list[tuple[int, int, int, int]],
-        regions: list[tuple[int, int, int, int]],
-    ):
-        current_frame = self.frame_manager.get(
-            frame_name, self.camera_config.frame_shape_yuv
-        )
-
-        tracked_objects = self.tracked_objects.copy()
-        current_ids = set(current_detections.keys())
-        previous_ids = set(tracked_objects.keys())
-        removed_ids = previous_ids.difference(current_ids)
-        new_ids = current_ids.difference(previous_ids)
-        updated_ids = current_ids.intersection(previous_ids)
-
-        for id in new_ids:
-            new_obj = tracked_objects[id] = TrackedObject(
-                self.config.model,
-                self.camera_config,
-                self.frame_cache,
-                current_detections[id],
-            )
-
-            # call event handlers
-            for c in self.callbacks["start"]:
-                c(self.name, new_obj, frame_name)
-
-        for id in updated_ids:
-            updated_obj = tracked_objects[id]
-            thumb_update, significant_update, autotracker_update = updated_obj.update(
-                frame_time, current_detections[id], current_frame is not None
-            )
-
-            if autotracker_update or significant_update:
-                for c in self.callbacks["autotrack"]:
-                    c(self.name, updated_obj, frame_name)
-
-            if thumb_update and current_frame is not None:
-                # ensure this frame is stored in the cache
-                if (
-                    updated_obj.thumbnail_data["frame_time"] == frame_time
-                    and frame_time not in self.frame_cache
-                ):
-                    self.frame_cache[frame_time] = np.copy(current_frame)
-
-                updated_obj.last_updated = frame_time
-
-            # if it has been more than 5 seconds since the last thumb update
-            # and the last update is greater than the last publish or
-            # the object has changed significantly
-            if (
-                frame_time - updated_obj.last_published > 5
-                and updated_obj.last_updated > updated_obj.last_published
-            ) or significant_update:
-                # call event handlers
-                for c in self.callbacks["update"]:
-                    c(self.name, updated_obj, frame_name)
-                updated_obj.last_published = frame_time
-
-        for id in removed_ids:
-            # publish events to mqtt
-            removed_obj = tracked_objects[id]
-            if "end_time" not in removed_obj.obj_data:
-                removed_obj.obj_data["end_time"] = frame_time
-                for c in self.callbacks["end"]:
-                    c(self.name, removed_obj, frame_name)
-
-        # TODO: can i switch to looking this up and only changing when an event ends?
-        # maintain best objects
-        camera_activity: dict[str, list[any]] = {
-            "motion": len(motion_boxes) > 0,
-            "objects": [],
-        }
-
-        for obj in tracked_objects.values():
-            object_type = obj.obj_data["label"]
-            active = obj.is_active()
-
-            if not obj.false_positive:
-                label = object_type
-                sub_label = None
-
-                if obj.obj_data.get("sub_label"):
-                    if (
-                        obj.obj_data.get("sub_label")[0]
-                        in self.config.model.all_attributes
-                    ):
-                        label = obj.obj_data["sub_label"][0]
-                    else:
-                        label = f"{object_type}-verified"
-                        sub_label = obj.obj_data["sub_label"][0]
-
-                camera_activity["objects"].append(
-                    {
-                        "id": obj.obj_data["id"],
-                        "label": label,
-                        "stationary": not active,
-                        "area": obj.obj_data["area"],
-                        "ratio": obj.obj_data["ratio"],
-                        "score": obj.obj_data["score"],
-                        "sub_label": sub_label,
-                    }
-                )
-
-            # if we don't have access to the current frame or
-            # if the object's thumbnail is not from the current frame, skip
-            if (
-                current_frame is None
-                or obj.thumbnail_data is None
-                or obj.false_positive
-                or obj.thumbnail_data["frame_time"] != frame_time
-            ):
-                continue
-
-            if object_type in self.best_objects:
-                current_best = self.best_objects[object_type]
-                now = datetime.datetime.now().timestamp()
-                # if the object is a higher score than the current best score
-                # or the current object is older than desired, use the new object
-                if (
-                    is_better_thumbnail(
-                        object_type,
-                        current_best.thumbnail_data,
-                        obj.thumbnail_data,
-                        self.camera_config.frame_shape,
-                    )
-                    or (now - current_best.thumbnail_data["frame_time"])
-                    > self.camera_config.best_image_timeout
-                ):
-                    self.best_objects[object_type] = obj
-                    for c in self.callbacks["snapshot"]:
-                        c(self.name, self.best_objects[object_type], frame_name)
-            else:
-                self.best_objects[object_type] = obj
-                for c in self.callbacks["snapshot"]:
-                    c(self.name, self.best_objects[object_type], frame_name)
-
-        for c in self.callbacks["camera_activity"]:
-            c(self.name, camera_activity)
-
-        # update overall camera state for each object type
-        obj_counter = Counter(
-            obj.obj_data["label"]
-            for obj in tracked_objects.values()
-            if not obj.false_positive
-        )
-
-        active_obj_counter = Counter(
-            obj.obj_data["label"]
-            for obj in tracked_objects.values()
-            if not obj.false_positive and obj.active
-        )
-
-        # keep track of all labels detected for this camera
-        total_label_count = 0
-        total_active_label_count = 0
-
-        # report on all detected objects
-        for obj_name, count in obj_counter.items():
-            total_label_count += count
-
-            if count != self.object_counts[obj_name]:
-                self.object_counts[obj_name] = count
-                for c in self.callbacks["object_status"]:
-                    c(self.name, obj_name, count)
-
-        # update the active count on all detected objects
-        # To ensure we emit 0's if all objects are stationary, we need to loop
-        # over the set of all objects, not just active ones.
-        for obj_name in set(obj_counter):
-            count = active_obj_counter[obj_name]
-            total_active_label_count += count
-
-            if count != self.active_object_counts[obj_name]:
-                self.active_object_counts[obj_name] = count
-                for c in self.callbacks["active_object_status"]:
-                    c(self.name, obj_name, count)
-
-        # publish for all labels detected for this camera
-        if total_label_count != self.object_counts.get("all"):
-            self.object_counts["all"] = total_label_count
-            for c in self.callbacks["object_status"]:
-                c(self.name, "all", total_label_count)
-
-        # publish active label counts for this camera
-        if total_active_label_count != self.active_object_counts.get("all"):
-            self.active_object_counts["all"] = total_active_label_count
-            for c in self.callbacks["active_object_status"]:
-                c(self.name, "all", total_active_label_count)
-
-        # expire any objects that are >0 and no longer detected
-        expired_objects = [
-            obj_name
-            for obj_name, count in self.object_counts.items()
-            if count > 0 and obj_name not in obj_counter
-        ]
-        for obj_name in expired_objects:
-            # Ignore the artificial all label
-            if obj_name == "all":
-                continue
-
-            self.object_counts[obj_name] = 0
-            for c in self.callbacks["object_status"]:
-                c(self.name, obj_name, 0)
-            # Only publish if the object was previously active.
-            if self.active_object_counts[obj_name] > 0:
-                for c in self.callbacks["active_object_status"]:
-                    c(self.name, obj_name, 0)
-                self.active_object_counts[obj_name] = 0
-            for c in self.callbacks["snapshot"]:
-                c(self.name, self.best_objects[obj_name], frame_name)
-
-        # cleanup thumbnail frame cache
-        current_thumb_frames = {
-            obj.thumbnail_data["frame_time"]
-            for obj in tracked_objects.values()
-            if not obj.false_positive and obj.thumbnail_data is not None
-        }
-        current_best_frames = {
-            obj.thumbnail_data["frame_time"] for obj in self.best_objects.values()
-        }
-        thumb_frames_to_delete = [
-            t
-            for t in self.frame_cache.keys()
-            if t not in current_thumb_frames and t not in current_best_frames
-        ]
-        for t in thumb_frames_to_delete:
-            del self.frame_cache[t]
-
-        with self.current_frame_lock:
-            self.tracked_objects = tracked_objects
-            self.motion_boxes = motion_boxes
-            self.regions = regions
-
-            if current_frame is not None:
-                self.current_frame_time = frame_time
-                self._current_frame = np.copy(current_frame)
-
-                if self.previous_frame_id is not None:
-                    self.frame_manager.close(self.previous_frame_id)
-
-            self.previous_frame_id = frame_name
-
-
-class TrackedObjectProcessor(threading.Thread):
-    def __init__(
-        self,
-        config: FrigateConfig,
-        dispatcher: Dispatcher,
-        tracked_objects_queue,
-        ptz_autotracker_thread,
-        stop_event,
-    ):
-        super().__init__(name="detected_frames_processor")
-        self.config = config
-        self.dispatcher = dispatcher
-        self.tracked_objects_queue = tracked_objects_queue
-        self.stop_event: MpEvent = stop_event
-        self.camera_states: dict[str, CameraState] = {}
-        self.frame_manager = SharedMemoryFrameManager()
-        self.last_motion_detected: dict[str, float] = {}
-        self.ptz_autotracker_thread = ptz_autotracker_thread
-
-        self.requestor = InterProcessRequestor()
-        self.detection_publisher = DetectionPublisher(DetectionTypeEnum.video)
-        self.event_sender = EventUpdatePublisher()
-        self.event_end_subscriber = EventEndSubscriber()
-
-        self.camera_activity: dict[str, dict[str, any]] = {}
-
-        # {
-        #   'zone_name': {
-        #       'person': {
-        #           'camera_1': 2,
-        #           'camera_2': 1
-        #       }
-        #   }
-        # }
-        self.zone_data = defaultdict(lambda: defaultdict(dict))
-        self.active_zone_data = defaultdict(lambda: defaultdict(dict))
-
-        def start(camera: str, obj: TrackedObject, frame_name: str):
-            self.event_sender.publish(
-                (
-                    EventTypeEnum.tracked_object,
-                    EventStateEnum.start,
-                    camera,
-                    frame_name,
-                    obj.to_dict(),
-                )
-            )
-
-        def update(camera: str, obj: TrackedObject, frame_name: str):
-            obj.has_snapshot = self.should_save_snapshot(camera, obj)
-            obj.has_clip = self.should_retain_recording(camera, obj)
-            after = obj.to_dict()
-            message = {
-                "before": obj.previous,
-                "after": after,
-                "type": "new" if obj.previous["false_positive"] else "update",
-            }
-            self.dispatcher.publish("events", json.dumps(message), retain=False)
-            obj.previous = after
-            self.event_sender.publish(
-                (
-                    EventTypeEnum.tracked_object,
-                    EventStateEnum.update,
-                    camera,
-                    frame_name,
-                    obj.to_dict(include_thumbnail=True),
-                )
-            )
-
-        def autotrack(camera: str, obj: TrackedObject, frame_name: str):
-            self.ptz_autotracker_thread.ptz_autotracker.autotrack_object(camera, obj)
-
-        def end(camera: str, obj: TrackedObject, frame_name: str):
-            # populate has_snapshot
-            obj.has_snapshot = self.should_save_snapshot(camera, obj)
-            obj.has_clip = self.should_retain_recording(camera, obj)
-
-            # write the snapshot to disk
-            if obj.has_snapshot:
-                snapshot_config: SnapshotsConfig = self.config.cameras[camera].snapshots
-                jpg_bytes = obj.get_jpg_bytes(
-                    timestamp=snapshot_config.timestamp,
-                    bounding_box=snapshot_config.bounding_box,
-                    crop=snapshot_config.crop,
-                    height=snapshot_config.height,
-                    quality=snapshot_config.quality,
-                )
-                if jpg_bytes is None:
-                    logger.warning(f"Unable to save snapshot for {obj.obj_data['id']}.")
-                else:
-                    with open(
-                        os.path.join(CLIPS_DIR, f"{camera}-{obj.obj_data['id']}.jpg"),
-                        "wb",
-                    ) as j:
-                        j.write(jpg_bytes)
-
-                # write clean snapshot if enabled
-                if snapshot_config.clean_copy:
-                    png_bytes = obj.get_clean_png()
-                    if png_bytes is None:
-                        logger.warning(
-                            f"Unable to save clean snapshot for {obj.obj_data['id']}."
-                        )
-                    else:
-                        with open(
-                            os.path.join(
-                                CLIPS_DIR,
-                                f"{camera}-{obj.obj_data['id']}-clean.png",
-                            ),
-                            "wb",
-                        ) as p:
-                            p.write(png_bytes)
-
-            if not obj.false_positive:
-                message = {
-                    "before": obj.previous,
-                    "after": obj.to_dict(),
-                    "type": "end",
-                }
-                self.dispatcher.publish("events", json.dumps(message), retain=False)
-                self.ptz_autotracker_thread.ptz_autotracker.end_object(camera, obj)
-
-            self.event_sender.publish(
-                (
-                    EventTypeEnum.tracked_object,
-                    EventStateEnum.end,
-                    camera,
-                    frame_name,
-                    obj.to_dict(include_thumbnail=True),
-                )
-            )
-
-        def snapshot(camera, obj: TrackedObject, frame_name: str):
-            mqtt_config: MqttConfig = self.config.cameras[camera].mqtt
-            if mqtt_config.enabled and self.should_mqtt_snapshot(camera, obj):
-                jpg_bytes = obj.get_jpg_bytes(
-                    timestamp=mqtt_config.timestamp,
-                    bounding_box=mqtt_config.bounding_box,
-                    crop=mqtt_config.crop,
-                    height=mqtt_config.height,
-                    quality=mqtt_config.quality,
-                )
-
-                if jpg_bytes is None:
-                    logger.warning(
-                        f"Unable to send mqtt snapshot for {obj.obj_data['id']}."
-                    )
-                else:
-                    self.dispatcher.publish(
-                        f"{camera}/{obj.obj_data['label']}/snapshot",
-                        jpg_bytes,
-                        retain=True,
-                    )
-
-        def object_status(camera, object_name, status):
-            self.dispatcher.publish(f"{camera}/{object_name}", status, retain=False)
-
-        def active_object_status(camera, object_name, status):
-            self.dispatcher.publish(
-                f"{camera}/{object_name}/active", status, retain=False
-            )
-
-        def camera_activity(camera, activity):
-            last_activity = self.camera_activity.get(camera)
-
-            if not last_activity or activity != last_activity:
-                self.camera_activity[camera] = activity
-                self.requestor.send_data(UPDATE_CAMERA_ACTIVITY, self.camera_activity)
-
-        for camera in self.config.cameras.keys():
-            camera_state = CameraState(
-                camera, self.config, self.frame_manager, self.ptz_autotracker_thread
-            )
-            camera_state.on("start", start)
-            camera_state.on("autotrack", autotrack)
-            camera_state.on("update", update)
-            camera_state.on("end", end)
-            camera_state.on("snapshot", snapshot)
-            camera_state.on("object_status", object_status)
-            camera_state.on("active_object_status", active_object_status)
-            camera_state.on("camera_activity", camera_activity)
-            self.camera_states[camera] = camera_state
-
-    def should_save_snapshot(self, camera, obj: TrackedObject):
-        if obj.false_positive:
-            return False
-
-        snapshot_config: SnapshotsConfig = self.config.cameras[camera].snapshots
-
-        if not snapshot_config.enabled:
-            return False
-
-        # object never changed position
-        if obj.obj_data["position_changes"] == 0:
-            return False
-
-        # if there are required zones and there is no overlap
-        required_zones = snapshot_config.required_zones
-        if len(required_zones) > 0 and not set(obj.entered_zones) & set(required_zones):
-            logger.debug(
-                f"Not creating snapshot for {obj.obj_data['id']} because it did not enter required zones"
-            )
-            return False
-
-        return True
-
-    def should_retain_recording(self, camera: str, obj: TrackedObject):
-        if obj.false_positive:
-            return False
-
-        record_config: RecordConfig = self.config.cameras[camera].record
-
-        # Recording is disabled
-        if not record_config.enabled:
-            return False
-
-        # object never changed position
-        if obj.obj_data["position_changes"] == 0:
-            return False
-
-        # If the object is not considered an alert or detection
-        if obj.max_severity is None:
-            return False
-
-        return True
-
-    def should_mqtt_snapshot(self, camera, obj: TrackedObject):
-        # object never changed position
-        if obj.obj_data["position_changes"] == 0:
-            return False
-
-        # if there are required zones and there is no overlap
-        required_zones = self.config.cameras[camera].mqtt.required_zones
-        if len(required_zones) > 0 and not set(obj.entered_zones) & set(required_zones):
-            logger.debug(
-                f"Not sending mqtt for {obj.obj_data['id']} because it did not enter required zones"
-            )
-            return False
-
-        return True
-
-    def update_mqtt_motion(self, camera, frame_time, motion_boxes):
-        # publish if motion is currently being detected
-        if motion_boxes:
-            # only send ON if motion isn't already active
-            if self.last_motion_detected.get(camera, 0) == 0:
-                self.dispatcher.publish(
-                    f"{camera}/motion",
-                    "ON",
-                    retain=False,
-                )
-
-            # always updated latest motion
-            self.last_motion_detected[camera] = frame_time
-        elif self.last_motion_detected.get(camera, 0) > 0:
-            mqtt_delay = self.config.cameras[camera].motion.mqtt_off_delay
-
-            # If no motion, make sure the off_delay has passed
-            if frame_time - self.last_motion_detected.get(camera, 0) >= mqtt_delay:
-                self.dispatcher.publish(
-                    f"{camera}/motion",
-                    "OFF",
-                    retain=False,
-                )
-                # reset the last_motion so redundant `off` commands aren't sent
-                self.last_motion_detected[camera] = 0
-
-    def get_best(self, camera, label):
-        # TODO: need a lock here
-        camera_state = self.camera_states[camera]
-        if label in camera_state.best_objects:
-            best_obj = camera_state.best_objects[label]
-            best = best_obj.thumbnail_data.copy()
-            best["frame"] = camera_state.frame_cache.get(
-                best_obj.thumbnail_data["frame_time"]
-            )
-            return best
-        else:
-            return {}
-
-    def get_current_frame(
-        self, camera: str, draw_options: dict[str, any] = {}
-    ) -> Optional[np.ndarray]:
-        if camera == "birdseye":
-            return self.frame_manager.get(
-                "birdseye",
-                (self.config.birdseye.height * 3 // 2, self.config.birdseye.width),
-            )
-
-        if camera not in self.camera_states:
-            return None
-
-        return self.camera_states[camera].get_current_frame(draw_options)
-
-    def get_current_frame_time(self, camera) -> int:
-        """Returns the latest frame time for a given camera."""
-        return self.camera_states[camera].current_frame_time
-
-    def run(self):
-        while not self.stop_event.is_set():
-            try:
-                (
-                    camera,
-                    frame_name,
-                    frame_time,
-                    current_tracked_objects,
-                    motion_boxes,
-                    regions,
-                ) = self.tracked_objects_queue.get(True, 1)
-            except queue.Empty:
-                continue
-
-            camera_state = self.camera_states[camera]
-
-            camera_state.update(
-                frame_name, frame_time, current_tracked_objects, motion_boxes, regions
-            )
-
-            self.update_mqtt_motion(camera, frame_time, motion_boxes)
-
-            tracked_objects = [
-                o.to_dict() for o in camera_state.tracked_objects.values()
-            ]
-
-            # publish info on this frame
-            self.detection_publisher.publish(
-                (
-                    camera,
-                    frame_name,
-                    frame_time,
-                    tracked_objects,
-                    motion_boxes,
-                    regions,
-                )
-            )
-
-            # update zone counts for each label
-            # for each zone in the current camera
-            for zone in self.config.cameras[camera].zones.keys():
-                # count labels for the camera in the zone
-                obj_counter = Counter(
-                    obj.obj_data["label"]
-                    for obj in camera_state.tracked_objects.values()
-                    if zone in obj.current_zones and not obj.false_positive
-                )
-                active_obj_counter = Counter(
-                    obj.obj_data["label"]
-                    for obj in camera_state.tracked_objects.values()
-                    if (
-                        zone in obj.current_zones
-                        and not obj.false_positive
-                        and obj.active
-                    )
-                )
-                total_label_count = 0
-                total_active_label_count = 0
-
-                # update counts and publish status
-                for label in set(self.zone_data[zone].keys()) | set(obj_counter.keys()):
-                    # Ignore the artificial all label
-                    if label == "all":
-                        continue
-
-                    # if we have previously published a count for this zone/label
-                    zone_label = self.zone_data[zone][label]
-                    active_zone_label = self.active_zone_data[zone][label]
-                    if camera in zone_label:
-                        current_count = sum(zone_label.values())
-                        current_active_count = sum(active_zone_label.values())
-                        zone_label[camera] = (
-                            obj_counter[label] if label in obj_counter else 0
-                        )
-                        active_zone_label[camera] = (
-                            active_obj_counter[label]
-                            if label in active_obj_counter
-                            else 0
-                        )
-                        new_count = sum(zone_label.values())
-                        new_active_count = sum(active_zone_label.values())
-                        if new_count != current_count:
-                            self.dispatcher.publish(
-                                f"{zone}/{label}",
-                                new_count,
-                                retain=False,
-                            )
-                        if new_active_count != current_active_count:
-                            self.dispatcher.publish(
-                                f"{zone}/{label}/active",
-                                new_active_count,
-                                retain=False,
-                            )
-
-                        # Set the count for the /zone/all topic.
-                        total_label_count += new_count
-                        total_active_label_count += new_active_count
-
-                    # if this is a new zone/label combo for this camera
-                    else:
-                        if label in obj_counter:
-                            zone_label[camera] = obj_counter[label]
-                            active_zone_label[camera] = active_obj_counter[label]
-                            self.dispatcher.publish(
-                                f"{zone}/{label}",
-                                obj_counter[label],
-                                retain=False,
-                            )
-                            self.dispatcher.publish(
-                                f"{zone}/{label}/active",
-                                active_obj_counter[label],
-                                retain=False,
-                            )
-
-                            # Set the count for the /zone/all topic.
-                            total_label_count += obj_counter[label]
-                            total_active_label_count += active_obj_counter[label]
-
-                # if we have previously published a count for this zone all labels
-                zone_label = self.zone_data[zone]["all"]
-                active_zone_label = self.active_zone_data[zone]["all"]
-                if camera in zone_label:
-                    current_count = sum(zone_label.values())
-                    current_active_count = sum(active_zone_label.values())
-                    zone_label[camera] = total_label_count
-                    active_zone_label[camera] = total_active_label_count
-                    new_count = sum(zone_label.values())
-                    new_active_count = sum(active_zone_label.values())
-
-                    if new_count != current_count:
-                        self.dispatcher.publish(
-                            f"{zone}/all",
-                            new_count,
-                            retain=False,
-                        )
-                    if new_active_count != current_active_count:
-                        self.dispatcher.publish(
-                            f"{zone}/all/active",
-                            new_active_count,
-                            retain=False,
-                        )
-                # if this is a new zone all label for this camera
-                else:
-                    zone_label[camera] = total_label_count
-                    active_zone_label[camera] = total_active_label_count
-                    self.dispatcher.publish(
-                        f"{zone}/all",
-                        total_label_count,
-                        retain=False,
-                    )
-                    self.dispatcher.publish(
-                        f"{zone}/all/active",
-                        total_active_label_count,
-                        retain=False,
-                    )
-
-            # cleanup event finished queue
-            while not self.stop_event.is_set():
-                update = self.event_end_subscriber.check_for_update(timeout=0.01)
-
-                if not update:
-                    break
-
-                event_id, camera, _ = update
-                self.camera_states[camera].finished(event_id)
-
-        self.requestor.stop()
-        self.detection_publisher.stop()
-        self.event_sender.stop()
-        self.event_end_subscriber.stop()
-        logger.info("Exiting object processor...")
diff --git a/frigate/output/birdseye.py b/frigate/output/birdseye.py
index 00f17c8f4..b295af82e 100644
--- a/frigate/output/birdseye.py
+++ b/frigate/output/birdseye.py
@@ -10,13 +10,14 @@ import queue
 import subprocess as sp
 import threading
 import traceback
+from typing import Any, Optional
 
 import cv2
 import numpy as np
 
 from frigate.comms.config_updater import ConfigSubscriber
 from frigate.config import BirdseyeModeEnum, FfmpegConfig, FrigateConfig
-from frigate.const import BASE_DIR, BIRDSEYE_PIPE
+from frigate.const import BASE_DIR, BIRDSEYE_PIPE, INSTALL_DIR
 from frigate.util.image import (
     SharedMemoryFrameManager,
     copy_yuv_to_position,
@@ -258,7 +259,7 @@ class BroadcastThread(threading.Thread):
                             ws.send(buf, binary=True)
                         except ValueError:
                             pass
-                        except (BrokenPipeError, ConnectionResetError) as e:
+                        except (BrokenPipeError, ConnectionResetError, OSError) as e:
                             logger.debug(f"Websocket unexpectedly closed {e}")
             elif self.converter.process.poll() is not None:
                 break
@@ -297,7 +298,9 @@ class BirdsEyeFrameManager:
             birdseye_logo = cv2.imread(custom_logo_files[0], cv2.IMREAD_UNCHANGED)
 
         if birdseye_logo is None:
-            logo_files = glob.glob("/opt/frigate/frigate/images/birdseye.png")
+            logo_files = glob.glob(
+                os.path.join(INSTALL_DIR, "frigate/images/birdseye.png")
+            )
 
             if len(logo_files) > 0:
                 birdseye_logo = cv2.imread(logo_files[0], cv2.IMREAD_UNCHANGED)
@@ -378,8 +381,11 @@ class BirdsEyeFrameManager:
         if mode == BirdseyeModeEnum.objects and object_box_count > 0:
             return True
 
-    def update_frame(self, frame: np.ndarray):
-        """Update to a new frame for birdseye."""
+    def update_frame(self, frame: Optional[np.ndarray] = None) -> bool:
+        """
+        Update birdseye, optionally with a new frame.
+        When no frame is passed, check the layout and update for any disabled cameras.
+        """
 
         # determine how many cameras are tracking objects within the last inactivity_threshold seconds
         active_cameras: set[str] = set(
@@ -387,11 +393,14 @@ class BirdsEyeFrameManager:
                 cam
                 for cam, cam_data in self.cameras.items()
                 if self.config.cameras[cam].birdseye.enabled
+                and self.config.cameras[cam].enabled_in_config
+                and self.config.cameras[cam].enabled
                 and cam_data["last_active_frame"] > 0
                 and cam_data["current_frame_time"] - cam_data["last_active_frame"]
                 < self.inactivity_threshold
             ]
         )
+        logger.debug(f"Active cameras: {active_cameras}")
 
         max_cameras = self.config.birdseye.layout.max_cameras
         max_camera_refresh = False
@@ -409,127 +418,134 @@ class BirdsEyeFrameManager:
                         - self.cameras[active_camera]["last_active_frame"]
                     ),
                 )
-                active_cameras = limited_active_cameras[
-                    : self.config.birdseye.layout.max_cameras
-                ]
+                active_cameras = limited_active_cameras[:max_cameras]
                 max_camera_refresh = True
                 self.last_refresh_time = now
 
-        # if there are no active cameras
+        # Track if the frame changes
+        frame_changed = False
+
+        # If no active cameras and layout is already empty, no update needed
         if len(active_cameras) == 0:
             # if the layout is already cleared
             if len(self.camera_layout) == 0:
                 return False
             # if the layout needs to be cleared
-            else:
-                self.camera_layout = []
-                self.active_cameras = set()
-                self.clear_frame()
-                return True
-
-        # check if we need to reset the layout because there is a different number of cameras
-        if len(self.active_cameras) - len(active_cameras) == 0:
-            if len(self.active_cameras) == 1 and self.active_cameras != active_cameras:
-                reset_layout = True
-            elif max_camera_refresh:
-                reset_layout = True
-            else:
-                reset_layout = False
-        else:
-            reset_layout = True
-
-        # reset the layout if it needs to be different
-        if reset_layout:
-            logger.debug("Added new cameras, resetting layout...")
+            self.camera_layout = []
+            self.active_cameras = set()
             self.clear_frame()
-            self.active_cameras = active_cameras
-
-            # this also converts added_cameras from a set to a list since we need
-            # to pop elements in order
-            active_cameras_to_add = sorted(
-                active_cameras,
-                # sort cameras by order and by name if the order is the same
-                key=lambda active_camera: (
-                    self.config.cameras[active_camera].birdseye.order,
-                    active_camera,
-                ),
-            )
-
-            if len(active_cameras) == 1:
-                # show single camera as fullscreen
-                camera = active_cameras_to_add[0]
-                camera_dims = self.cameras[camera]["dimensions"].copy()
-                scaled_width = int(self.canvas.height * camera_dims[0] / camera_dims[1])
-
-                # center camera view in canvas and ensure that it fits
-                if scaled_width < self.canvas.width:
-                    coefficient = 1
-                    x_offset = int((self.canvas.width - scaled_width) / 2)
+            frame_changed = True
+        else:
+            # Determine if layout needs resetting
+            if len(self.active_cameras) - len(active_cameras) == 0:
+                if (
+                    len(self.active_cameras) == 1
+                    and self.active_cameras != active_cameras
+                ):
+                    reset_layout = True
+                elif max_camera_refresh:
+                    reset_layout = True
                 else:
-                    coefficient = self.canvas.width / scaled_width
-                    x_offset = int(
-                        (self.canvas.width - (scaled_width * coefficient)) / 2
-                    )
-
-                self.camera_layout = [
-                    [
-                        (
-                            camera,
-                            (
-                                x_offset,
-                                0,
-                                int(scaled_width * coefficient),
-                                int(self.canvas.height * coefficient),
-                            ),
-                        )
-                    ]
-                ]
+                    reset_layout = False
             else:
-                # calculate optimal layout
-                coefficient = self.canvas.get_coefficient(len(active_cameras))
-                calculating = True
+                reset_layout = True
 
-                # decrease scaling coefficient until height of all cameras can fit into the birdseye canvas
-                while calculating:
-                    if self.stop_event.is_set():
-                        return
+            if reset_layout:
+                logger.debug("Resetting Birdseye layout...")
+                self.clear_frame()
+                self.active_cameras = active_cameras
 
-                    layout_candidate = self.calculate_layout(
-                        active_cameras_to_add,
-                        coefficient,
+                # this also converts added_cameras from a set to a list since we need
+                # to pop elements in order
+                active_cameras_to_add = sorted(
+                    active_cameras,
+                    # sort cameras by order and by name if the order is the same
+                    key=lambda active_camera: (
+                        self.config.cameras[active_camera].birdseye.order,
+                        active_camera,
+                    ),
+                )
+                if len(active_cameras) == 1:
+                    # show single camera as fullscreen
+                    camera = active_cameras_to_add[0]
+                    camera_dims = self.cameras[camera]["dimensions"].copy()
+                    scaled_width = int(
+                        self.canvas.height * camera_dims[0] / camera_dims[1]
                     )
 
-                    if not layout_candidate:
-                        if coefficient < 10:
-                            coefficient += 1
-                            continue
-                        else:
-                            logger.error("Error finding appropriate birdseye layout")
+                    # center camera view in canvas and ensure that it fits
+                    if scaled_width < self.canvas.width:
+                        coefficient = 1
+                        x_offset = int((self.canvas.width - scaled_width) / 2)
+                    else:
+                        coefficient = self.canvas.width / scaled_width
+                        x_offset = int(
+                            (self.canvas.width - (scaled_width * coefficient)) / 2
+                        )
+
+                    self.camera_layout = [
+                        [
+                            (
+                                camera,
+                                (
+                                    x_offset,
+                                    0,
+                                    int(scaled_width * coefficient),
+                                    int(self.canvas.height * coefficient),
+                                ),
+                            )
+                        ]
+                    ]
+                else:
+                    # calculate optimal layout
+                    coefficient = self.canvas.get_coefficient(len(active_cameras))
+                    calculating = True
+
+                    # decrease scaling coefficient until height of all cameras can fit into the birdseye canvas
+                    while calculating:
+                        if self.stop_event.is_set():
                             return
 
-                    calculating = False
-                    self.canvas.set_coefficient(len(active_cameras), coefficient)
+                        layout_candidate = self.calculate_layout(
+                            active_cameras_to_add, coefficient
+                        )
 
-                self.camera_layout = layout_candidate
+                        if not layout_candidate:
+                            if coefficient < 10:
+                                coefficient += 1
+                                continue
+                            else:
+                                logger.error(
+                                    "Error finding appropriate birdseye layout"
+                                )
+                                return
+                        calculating = False
+                        self.canvas.set_coefficient(len(active_cameras), coefficient)
 
-        for row in self.camera_layout:
-            for position in row:
-                self.copy_to_position(
-                    position[1],
-                    position[0],
-                    self.cameras[position[0]]["current_frame"],
-                )
+                    self.camera_layout = layout_candidate
+                frame_changed = True
 
-        return True
+            # Draw the layout
+            for row in self.camera_layout:
+                for position in row:
+                    src_frame = self.cameras[position[0]]["current_frame"]
+                    if src_frame is None or src_frame.size == 0:
+                        logger.debug(f"Skipping invalid frame for {position[0]}")
+                        continue
+                    self.copy_to_position(position[1], position[0], src_frame)
+            if frame is not None:  # Frame presence indicates a potential change
+                frame_changed = True
+
+        return frame_changed
 
     def calculate_layout(
         self,
         cameras_to_add: list[str],
         coefficient: float,
-    ) -> tuple[any]:
+    ) -> tuple[Any]:
         """Calculate the optimal layout for 2+ cameras."""
 
-        def map_layout(camera_layout: list[list[any]], row_height: int):
+        def map_layout(camera_layout: list[list[Any]], row_height: int):
             """Map the calculated layout."""
             candidate_layout = []
             starting_x = 0
@@ -572,7 +588,7 @@ class BirdsEyeFrameManager:
             return max_width, y, candidate_layout
 
         canvas_aspect_x, canvas_aspect_y = self.canvas.get_aspect(coefficient)
-        camera_layout: list[list[any]] = []
+        camera_layout: list[list[Any]] = []
         camera_layout.append([])
         starting_x = 0
         x = starting_x
@@ -674,30 +690,29 @@ class BirdsEyeFrameManager:
         frame: np.ndarray,
     ) -> bool:
         # don't process if birdseye is disabled for this camera
-        camera_config = self.config.cameras[camera].birdseye
-
-        if not camera_config.enabled:
-            return False
+        camera_config = self.config.cameras[camera]
+        force_update = False
 
         # disabling birdseye is a little tricky
-        if not camera_config.enabled:
+        if not camera_config.birdseye.enabled or not camera_config.enabled:
             # if we've rendered a frame (we have a value for last_active_frame)
             # then we need to set it to zero
             if self.cameras[camera]["last_active_frame"] > 0:
                 self.cameras[camera]["last_active_frame"] = 0
-
-            return False
+                force_update = True
+            else:
+                return False
 
         # update the last active frame for the camera
         self.cameras[camera]["current_frame"] = frame.copy()
         self.cameras[camera]["current_frame_time"] = frame_time
-        if self.camera_active(camera_config.mode, object_count, motion_count):
+        if self.camera_active(camera_config.birdseye.mode, object_count, motion_count):
             self.cameras[camera]["last_active_frame"] = frame_time
 
         now = datetime.datetime.now().timestamp()
 
         # limit output to 10 fps
-        if (now - self.last_output_time) < 1 / 10:
+        if not force_update and (now - self.last_output_time) < 1 / 10:
             return False
 
         try:
@@ -709,7 +724,7 @@ class BirdsEyeFrameManager:
             print(traceback.format_exc())
 
         # if the frame was updated or the fps is too low, send frame
-        if updated_frame or (now - self.last_output_time) > 1:
+        if force_update or updated_frame or (now - self.last_output_time) > 1:
             self.last_output_time = now
             return True
         return False
@@ -739,8 +754,9 @@ class Birdseye:
             "birdseye", self.converter, websocket_server, stop_event
         )
         self.birdseye_manager = BirdsEyeFrameManager(config, stop_event)
-        self.config_subscriber = ConfigSubscriber("config/birdseye/")
+        self.birdseye_subscriber = ConfigSubscriber("config/birdseye/")
         self.frame_manager = SharedMemoryFrameManager()
+        self.stop_event = stop_event
 
         if config.birdseye.restream:
             self.birdseye_buffer = self.frame_manager.create(
@@ -751,10 +767,26 @@ class Birdseye:
         self.converter.start()
         self.broadcaster.start()
 
+    def __send_new_frame(self) -> None:
+        frame_bytes = self.birdseye_manager.frame.tobytes()
+
+        if self.config.birdseye.restream:
+            self.birdseye_buffer[:] = frame_bytes
+
+        try:
+            self.input.put_nowait(frame_bytes)
+        except queue.Full:
+            # drop frames if queue is full
+            pass
+
+    def all_cameras_disabled(self) -> None:
+        self.birdseye_manager.clear_frame()
+        self.__send_new_frame()
+
     def write_data(
         self,
         camera: str,
-        current_tracked_objects: list[dict[str, any]],
+        current_tracked_objects: list[dict[str, Any]],
         motion_boxes: list[list[int]],
         frame_time: float,
         frame: np.ndarray,
@@ -762,15 +794,16 @@ class Birdseye:
         # check if there is an updated config
         while True:
             (
-                updated_topic,
+                updated_birdseye_topic,
                 updated_birdseye_config,
-            ) = self.config_subscriber.check_for_update()
+            ) = self.birdseye_subscriber.check_for_update()
 
-            if not updated_topic:
+            if not updated_birdseye_topic:
                 break
 
-            camera_name = updated_topic.rpartition("/")[-1]
-            self.config.cameras[camera_name].birdseye = updated_birdseye_config
+            if updated_birdseye_config:
+                camera_name = updated_birdseye_topic.rpartition("/")[-1]
+                self.config.cameras[camera_name].birdseye = updated_birdseye_config
 
         if self.birdseye_manager.update(
             camera,
@@ -779,18 +812,9 @@ class Birdseye:
             frame_time,
             frame,
         ):
-            frame_bytes = self.birdseye_manager.frame.tobytes()
-
-            if self.config.birdseye.restream:
-                self.birdseye_buffer[:] = frame_bytes
-
-            try:
-                self.input.put_nowait(frame_bytes)
-            except queue.Full:
-                # drop frames if queue is full
-                pass
+            self.__send_new_frame()
 
     def stop(self) -> None:
-        self.config_subscriber.stop()
+        self.birdseye_subscriber.stop()
         self.converter.join()
         self.broadcaster.join()
diff --git a/frigate/output/output.py b/frigate/output/output.py
index bb2d73511..1723ac73c 100644
--- a/frigate/output/output.py
+++ b/frigate/output/output.py
@@ -1,12 +1,12 @@
 """Handle outputting raw frigate frames"""
 
+import datetime
 import logging
 import multiprocessing as mp
 import os
 import shutil
 import signal
 import threading
-from typing import Optional
 from wsgiref.simple_server import make_server
 
 from setproctitle import setproctitle
@@ -17,6 +17,7 @@ from ws4py.server.wsgirefserver import (
 )
 from ws4py.server.wsgiutils import WebSocketWSGIApplication
 
+from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
 from frigate.comms.ws import WebSocket
 from frigate.config import FrigateConfig
@@ -24,11 +25,51 @@ from frigate.const import CACHE_DIR, CLIPS_DIR
 from frigate.output.birdseye import Birdseye
 from frigate.output.camera import JsmpegCamera
 from frigate.output.preview import PreviewRecorder
-from frigate.util.image import SharedMemoryFrameManager
+from frigate.util.image import SharedMemoryFrameManager, get_blank_yuv_frame
 
 logger = logging.getLogger(__name__)
 
 
+def check_disabled_camera_update(
+    config: FrigateConfig,
+    birdseye: Birdseye | None,
+    previews: dict[str, PreviewRecorder],
+    write_times: dict[str, float],
+) -> None:
+    """Check if camera is disabled / offline and needs an update."""
+    now = datetime.datetime.now().timestamp()
+    has_enabled_camera = False
+
+    for camera, last_update in write_times.items():
+        offline_time = now - last_update
+
+        if config.cameras[camera].enabled:
+            has_enabled_camera = True
+        else:
+            # flag camera as offline when it is disabled
+            previews[camera].flag_offline(now)
+
+        if offline_time > 1:
+            # last camera update was more than 1 second ago
+            # need to send empty data to birdseye because current
+            # frame is now out of date
+            if birdseye and offline_time < 10:
+                # we only need to send blank frames to birdseye at the beginning of a camera being offline
+                birdseye.write_data(
+                    camera,
+                    [],
+                    [],
+                    now,
+                    get_blank_yuv_frame(
+                        config.cameras[camera].detect.width,
+                        config.cameras[camera].detect.height,
+                    ),
+                )
+
+    if not has_enabled_camera and birdseye:
+        birdseye.all_cameras_disabled()
+
+
 def output_frames(
     config: FrigateConfig,
 ):
@@ -58,17 +99,19 @@ def output_frames(
     websocket_thread = threading.Thread(target=websocket_server.serve_forever)
 
     detection_subscriber = DetectionSubscriber(DetectionTypeEnum.video)
+    config_enabled_subscriber = ConfigSubscriber("config/enabled/")
 
     jsmpeg_cameras: dict[str, JsmpegCamera] = {}
-    birdseye: Optional[Birdseye] = None
+    birdseye: Birdseye | None = None
     preview_recorders: dict[str, PreviewRecorder] = {}
     preview_write_times: dict[str, float] = {}
     failed_frame_requests: dict[str, int] = {}
+    last_disabled_cam_check = datetime.datetime.now().timestamp()
 
     move_preview_frames("cache")
 
     for camera, cam_config in config.cameras.items():
-        if not cam_config.enabled:
+        if not cam_config.enabled_in_config:
             continue
 
         jsmpeg_cameras[camera] = JsmpegCamera(cam_config, stop_event, websocket_server)
@@ -81,7 +124,29 @@ def output_frames(
     websocket_thread.start()
 
     while not stop_event.is_set():
+        # check if there is an updated config
+        while True:
+            (
+                updated_enabled_topic,
+                updated_enabled_config,
+            ) = config_enabled_subscriber.check_for_update()
+
+            if not updated_enabled_topic:
+                break
+
+            if updated_enabled_config:
+                camera_name = updated_enabled_topic.rpartition("/")[-1]
+                config.cameras[camera_name].enabled = updated_enabled_config.enabled
+
         (topic, data) = detection_subscriber.check_for_update(timeout=1)
+        now = datetime.datetime.now().timestamp()
+
+        if now - last_disabled_cam_check > 5:
+            # check disabled cameras every 5 seconds
+            last_disabled_cam_check = now
+            check_disabled_camera_update(
+                config, birdseye, preview_recorders, preview_write_times
+            )
 
         if not topic:
             continue
@@ -95,6 +160,9 @@ def output_frames(
             _,
         ) = data
 
+        if not config.cameras[camera].enabled:
+            continue
+
         frame = frame_manager.get(frame_name, config.cameras[camera].frame_shape_yuv)
 
         if frame is None:
@@ -110,6 +178,12 @@ def output_frames(
         else:
             failed_frame_requests[camera] = 0
 
+        # send frames for low fps recording
+        preview_recorders[camera].write_data(
+            current_tracked_objects, motion_boxes, frame_time, frame
+        )
+        preview_write_times[camera] = frame_time
+
         # send camera frame to ffmpeg process if websockets are connected
         if any(
             ws.environ["PATH_INFO"].endswith(camera) for ws in websocket_server.manager
@@ -133,24 +207,6 @@ def output_frames(
                 frame,
             )
 
-        # send frames for low fps recording
-        generated_preview = preview_recorders[camera].write_data(
-            current_tracked_objects, motion_boxes, frame_time, frame
-        )
-        preview_write_times[camera] = frame_time
-
-        # if another camera generated a preview,
-        # check for any cameras that are currently offline
-        # and need to generate a preview
-        if generated_preview:
-            logger.debug(
-                "Checking for offline cameras because another camera generated a preview."
-            )
-            for camera, time in preview_write_times.copy().items():
-                if time != 0 and frame_time - time > 10:
-                    preview_recorders[camera].flag_offline(frame_time)
-                    preview_write_times[camera] = frame_time
-
         frame_manager.close(frame_name)
 
     move_preview_frames("clips")
@@ -184,6 +240,7 @@ def output_frames(
     if birdseye is not None:
         birdseye.stop()
 
+    config_enabled_subscriber.stop()
     websocket_server.manager.close_all()
     websocket_server.manager.stop()
     websocket_server.manager.join()
diff --git a/frigate/output/preview.py b/frigate/output/preview.py
index ae2ba4591..08caa6738 100644
--- a/frigate/output/preview.py
+++ b/frigate/output/preview.py
@@ -8,6 +8,7 @@ import subprocess as sp
 import threading
 import time
 from pathlib import Path
+from typing import Any
 
 import cv2
 import numpy as np
@@ -22,8 +23,8 @@ from frigate.ffmpeg_presets import (
     parse_preset_hardware_acceleration_encode,
 )
 from frigate.models import Previews
-from frigate.object_processing import TrackedObject
-from frigate.util.image import copy_yuv_to_position, get_yuv_crop
+from frigate.track.object_processing import TrackedObject
+from frigate.util.image import copy_yuv_to_position, get_blank_yuv_frame, get_yuv_crop
 
 logger = logging.getLogger(__name__)
 
@@ -153,6 +154,7 @@ class PreviewRecorder:
         self.config = config
         self.start_time = 0
         self.last_output_time = 0
+        self.offline = False
         self.output_frames = []
 
         if config.detect.width > config.detect.height:
@@ -172,7 +174,9 @@ class PreviewRecorder:
 
         # create communication for finished previews
         self.requestor = InterProcessRequestor()
-        self.config_subscriber = ConfigSubscriber(f"config/record/{self.config.name}")
+        self.config_subscriber = ConfigSubscriber(
+            f"config/record/{self.config.name}", True
+        )
 
         y, u1, u2, v1, v2 = get_yuv_crop(
             self.config.frame_shape_yuv,
@@ -239,9 +243,20 @@ class PreviewRecorder:
             self.last_output_time = ts
             self.output_frames.append(ts)
 
+    def reset_frame_cache(self, frame_time: float) -> None:
+        self.segment_end = (
+            (datetime.datetime.now() + datetime.timedelta(hours=1))
+            .astimezone(datetime.timezone.utc)
+            .replace(minute=0, second=0, microsecond=0)
+            .timestamp()
+        )
+        self.start_time = frame_time
+        self.last_output_time = frame_time
+        self.output_frames: list[float] = []
+
     def should_write_frame(
         self,
-        current_tracked_objects: list[dict[str, any]],
+        current_tracked_objects: list[dict[str, Any]],
         motion_boxes: list[list[int]],
         frame_time: float,
     ) -> bool:
@@ -301,11 +316,13 @@ class PreviewRecorder:
 
     def write_data(
         self,
-        current_tracked_objects: list[dict[str, any]],
+        current_tracked_objects: list[dict[str, Any]],
         motion_boxes: list[list[int]],
         frame_time: float,
         frame: np.ndarray,
-    ) -> bool:
+    ) -> None:
+        self.offline = False
+
         # check for updated record config
         _, updated_record_config = self.config_subscriber.check_for_update()
 
@@ -317,7 +334,7 @@ class PreviewRecorder:
             self.start_time = frame_time
             self.output_frames.append(frame_time)
             self.write_frame_to_cache(frame_time, frame)
-            return False
+            return
 
         # check if PREVIEW clip should be generated and cached frames reset
         if frame_time >= self.segment_end:
@@ -338,32 +355,35 @@ class PreviewRecorder:
                     f"Not saving preview for {self.config.name} because there are no saved frames."
                 )
 
-            # reset frame cache
-            self.segment_end = (
-                (datetime.datetime.now() + datetime.timedelta(hours=1))
-                .astimezone(datetime.timezone.utc)
-                .replace(minute=0, second=0, microsecond=0)
-                .timestamp()
-            )
-            self.start_time = frame_time
-            self.last_output_time = frame_time
-            self.output_frames: list[float] = []
+            self.reset_frame_cache(frame_time)
 
             # include first frame to ensure consistent duration
             if self.config.record.enabled:
                 self.output_frames.append(frame_time)
                 self.write_frame_to_cache(frame_time, frame)
 
-            return True
+            return
         elif self.should_write_frame(current_tracked_objects, motion_boxes, frame_time):
             self.output_frames.append(frame_time)
             self.write_frame_to_cache(frame_time, frame)
-            return False
+            return
 
     def flag_offline(self, frame_time: float) -> None:
+        if not self.offline:
+            self.write_frame_to_cache(
+                frame_time,
+                get_blank_yuv_frame(
+                    self.config.detect.width, self.config.detect.height
+                ),
+            )
+            self.offline = True
+
         # check if PREVIEW clip should be generated and cached frames reset
         if frame_time >= self.segment_end:
             if len(self.output_frames) == 0:
+                # camera has been offline for entire hour
+                # we have no preview to create
+                self.reset_frame_cache(frame_time)
                 return
 
             old_frame_path = get_cache_image_name(
@@ -380,18 +400,10 @@ class PreviewRecorder:
                 self.requestor,
             ).start()
 
-            # reset frame cache
-            self.segment_end = (
-                (datetime.datetime.now() + datetime.timedelta(hours=1))
-                .astimezone(datetime.timezone.utc)
-                .replace(minute=0, second=0, microsecond=0)
-                .timestamp()
-            )
-            self.start_time = frame_time
-            self.last_output_time = frame_time
-            self.output_frames = []
+            self.reset_frame_cache(frame_time)
 
     def stop(self) -> None:
+        self.config_subscriber.stop()
         self.requestor.stop()
 
 
diff --git a/frigate/plus.py b/frigate/plus.py
index 758089b85..197b6e48d 100644
--- a/frigate/plus.py
+++ b/frigate/plus.py
@@ -45,7 +45,7 @@ class PlusApi:
             self.key = (
                 Path(os.path.join("/run/secrets", PLUS_ENV_VAR)).read_text().strip()
             )
-        # check for the addon options file
+        # check for the add-on options file
         elif os.path.isfile("/data/options.json"):
             with open("/data/options.json") as f:
                 raw_options = f.read()
@@ -234,3 +234,11 @@ class PlusApi:
             raise Exception(r.text)
 
         return r.json()
+
+    def get_models(self) -> Any:
+        r = self._get("model/list")
+
+        if not r.ok:
+            raise Exception(r.text)
+
+        return r.json()
diff --git a/frigate/ptz/autotrack.py b/frigate/ptz/autotrack.py
index fc6284f40..f38bf1f5f 100644
--- a/frigate/ptz/autotrack.py
+++ b/frigate/ptz/autotrack.py
@@ -1,13 +1,13 @@
 """Automatically pan, tilt, and zoom on detected objects via onvif."""
 
+import asyncio
 import copy
 import logging
-import queue
 import threading
 import time
 from collections import deque
-from functools import partial
 from multiprocessing.synchronize import Event as MpEvent
+from typing import Any
 
 import cv2
 import numpy as np
@@ -60,7 +60,7 @@ class PtzMotionEstimator:
 
     def motion_estimator(
         self,
-        detections: list[dict[str, any]],
+        detections: list[dict[str, Any]],
         frame_name: str,
         frame_time: float,
         camera: str,
@@ -168,7 +168,12 @@ class PtzAutoTrackerThread(threading.Thread):
                     continue
 
                 if camera_config.onvif.autotracking.enabled:
-                    self.ptz_autotracker.camera_maintenance(camera)
+                    future = asyncio.run_coroutine_threadsafe(
+                        self.ptz_autotracker.camera_maintenance(camera),
+                        self.ptz_autotracker.onvif.loop,
+                    )
+                    # Wait for the coroutine to complete
+                    future.result()
                 else:
                     # disabled dynamically by mqtt
                     if self.ptz_autotracker.tracked_object.get(camera):
@@ -205,6 +210,7 @@ class PtzAutoTracker:
         self.calibrating: dict[str, object] = {}
         self.intercept: dict[str, object] = {}
         self.move_coefficients: dict[str, object] = {}
+        self.zoom_time: dict[str, float] = {}
         self.zoom_factor: dict[str, object] = {}
 
         # if cam is set to autotrack, onvif should be set up
@@ -217,9 +223,13 @@ class PtzAutoTracker:
                 camera_config.onvif.autotracking.enabled
                 and camera_config.onvif.autotracking.enabled_in_config
             ):
-                self._autotracker_setup(camera_config, camera)
+                future = asyncio.run_coroutine_threadsafe(
+                    self._autotracker_setup(camera_config, camera), self.onvif.loop
+                )
+                # Wait for the coroutine to complete
+                future.result()
 
-    def _autotracker_setup(self, camera_config: CameraConfig, camera: str):
+    async def _autotracker_setup(self, camera_config: CameraConfig, camera: str):
         logger.debug(f"{camera}: Autotracker init")
 
         self.object_types[camera] = camera_config.onvif.autotracking.track
@@ -240,8 +250,8 @@ class PtzAutoTracker:
         self.intercept[camera] = None
         self.move_coefficients[camera] = []
 
-        self.move_queues[camera] = queue.Queue()
-        self.move_queue_locks[camera] = threading.Lock()
+        self.move_queues[camera] = asyncio.Queue()
+        self.move_queue_locks[camera] = asyncio.Lock()
 
         # handle onvif constructor failing due to no connection
         if camera not in self.onvif.cams:
@@ -253,7 +263,7 @@ class PtzAutoTracker:
             return
 
         if not self.onvif.cams[camera]["init"]:
-            if not self.onvif._init_onvif(camera):
+            if not await self.onvif._init_onvif(camera):
                 logger.warning(
                     f"Disabling autotracking for {camera}: Unable to initialize onvif"
                 )
@@ -269,9 +279,14 @@ class PtzAutoTracker:
                 self.ptz_metrics[camera].autotracker_enabled.value = False
                 return
 
-            move_status_supported = self.onvif.get_service_capabilities(camera)
+            move_status_supported = await self.onvif.get_service_capabilities(camera)
 
-            if move_status_supported is None or move_status_supported.lower() != "true":
+            if not (
+                isinstance(move_status_supported, bool) and move_status_supported
+            ) and not (
+                isinstance(move_status_supported, str)
+                and move_status_supported.lower() == "true"
+            ):
                 logger.warning(
                     f"Disabling autotracking for {camera}: ONVIF MoveStatus not supported"
                 )
@@ -280,18 +295,15 @@ class PtzAutoTracker:
                 return
 
         if self.onvif.cams[camera]["init"]:
-            self.onvif.get_camera_status(camera)
+            await self.onvif.get_camera_status(camera)
 
-            # movement thread per camera
-            self.move_threads[camera] = threading.Thread(
-                name=f"ptz_move_thread_{camera}",
-                target=partial(self._process_move_queue, camera),
+            # movement queue with asyncio on OnvifController loop
+            asyncio.run_coroutine_threadsafe(
+                self._process_move_queue(camera), self.onvif.loop
             )
-            self.move_threads[camera].daemon = True
-            self.move_threads[camera].start()
 
             if camera_config.onvif.autotracking.movement_weights:
-                if len(camera_config.onvif.autotracking.movement_weights) == 5:
+                if len(camera_config.onvif.autotracking.movement_weights) == 6:
                     camera_config.onvif.autotracking.movement_weights = [
                         float(val)
                         for val in camera_config.onvif.autotracking.movement_weights
@@ -310,7 +322,10 @@ class PtzAutoTracker:
                         camera_config.onvif.autotracking.movement_weights[2]
                     )
                     self.move_coefficients[camera] = (
-                        camera_config.onvif.autotracking.movement_weights[3:]
+                        camera_config.onvif.autotracking.movement_weights[3:5]
+                    )
+                    self.zoom_time[camera] = (
+                        camera_config.onvif.autotracking.movement_weights[5]
                     )
                 else:
                     camera_config.onvif.autotracking.enabled = False
@@ -320,7 +335,7 @@ class PtzAutoTracker:
                     )
 
             if camera_config.onvif.autotracking.calibrate_on_startup:
-                self._calibrate_camera(camera)
+                await self._calibrate_camera(camera)
 
         self.ptz_metrics[camera].tracking_active.clear()
         self.dispatcher.publish(f"{camera}/ptz_autotracker/active", "OFF", retain=False)
@@ -339,7 +354,7 @@ class PtzAutoTracker:
             self.config.cameras[camera].onvif.autotracking.movement_weights,
         )
 
-    def _calibrate_camera(self, camera):
+    async def _calibrate_camera(self, camera):
         # move the camera from the preset in steps and measure the time it takes to move that amount
         # this will allow us to predict movement times with a simple linear regression
         # start with 0 so we can determine a baseline (to be used as the intercept in the regression calc)
@@ -359,28 +374,29 @@ class PtzAutoTracker:
             != ZoomingModeEnum.disabled
         ):
             logger.info(f"Calibration for {camera} in progress: 0% complete")
+            self.zoom_time[camera] = 0
 
             for i in range(2):
                 # absolute move to 0 - fully zoomed out
-                self.onvif._zoom_absolute(
+                await self.onvif._zoom_absolute(
                     camera,
                     self.onvif.cams[camera]["absolute_zoom_range"]["XRange"]["Min"],
                     1,
                 )
 
                 while not self.ptz_metrics[camera].motor_stopped.is_set():
-                    self.onvif.get_camera_status(camera)
+                    await self.onvif.get_camera_status(camera)
 
                 zoom_out_values.append(self.ptz_metrics[camera].zoom_level.value)
 
-                self.onvif._zoom_absolute(
+                await self.onvif._zoom_absolute(
                     camera,
                     self.onvif.cams[camera]["absolute_zoom_range"]["XRange"]["Max"],
                     1,
                 )
 
                 while not self.ptz_metrics[camera].motor_stopped.is_set():
-                    self.onvif.get_camera_status(camera)
+                    await self.onvif.get_camera_status(camera)
 
                 zoom_in_values.append(self.ptz_metrics[camera].zoom_level.value)
 
@@ -389,7 +405,7 @@ class PtzAutoTracker:
                     == ZoomingModeEnum.relative
                 ):
                     # relative move to -0.01
-                    self.onvif._move_relative(
+                    await self.onvif._move_relative(
                         camera,
                         0,
                         0,
@@ -398,12 +414,13 @@ class PtzAutoTracker:
                     )
 
                     while not self.ptz_metrics[camera].motor_stopped.is_set():
-                        self.onvif.get_camera_status(camera)
+                        await self.onvif.get_camera_status(camera)
 
                     zoom_out_values.append(self.ptz_metrics[camera].zoom_level.value)
 
+                    zoom_start_time = time.time()
                     # relative move to 0.01
-                    self.onvif._move_relative(
+                    await self.onvif._move_relative(
                         camera,
                         0,
                         0,
@@ -412,7 +429,39 @@ class PtzAutoTracker:
                     )
 
                     while not self.ptz_metrics[camera].motor_stopped.is_set():
-                        self.onvif.get_camera_status(camera)
+                        await self.onvif.get_camera_status(camera)
+
+                    zoom_stop_time = time.time()
+
+                    full_relative_start_time = time.time()
+
+                    await self.onvif._move_relative(
+                        camera,
+                        -1,
+                        -1,
+                        -1e-2,
+                        1,
+                    )
+
+                    while not self.ptz_metrics[camera].motor_stopped.is_set():
+                        await self.onvif.get_camera_status(camera)
+
+                    full_relative_stop_time = time.time()
+
+                    await self.onvif._move_relative(
+                        camera,
+                        1,
+                        1,
+                        1e-2,
+                        1,
+                    )
+
+                    while not self.ptz_metrics[camera].motor_stopped.is_set():
+                        await self.onvif.get_camera_status(camera)
+
+                    self.zoom_time[camera] = (
+                        full_relative_stop_time - full_relative_start_time
+                    ) - (zoom_stop_time - zoom_start_time)
 
                     zoom_in_values.append(self.ptz_metrics[camera].zoom_level.value)
 
@@ -420,14 +469,14 @@ class PtzAutoTracker:
             self.ptz_metrics[camera].min_zoom.value = min(zoom_out_values)
 
             logger.debug(
-                f"{camera}: Calibration values: max zoom: {self.ptz_metrics[camera].max_zoom.value}, min zoom: {self.ptz_metrics[camera].min_zoom.value}"
+                f"{camera}: Calibration values: max zoom: {self.ptz_metrics[camera].max_zoom.value}, min zoom: {self.ptz_metrics[camera].min_zoom.value}, zoom time: {self.zoom_time[camera]}"
             )
 
         else:
             self.ptz_metrics[camera].max_zoom.value = 1
             self.ptz_metrics[camera].min_zoom.value = 0
 
-        self.onvif._move_to_preset(
+        await self.onvif._move_to_preset(
             camera,
             self.config.cameras[camera].onvif.autotracking.return_preset.lower(),
         )
@@ -436,18 +485,18 @@ class PtzAutoTracker:
 
         # Wait until the camera finishes moving
         while not self.ptz_metrics[camera].motor_stopped.is_set():
-            self.onvif.get_camera_status(camera)
+            await self.onvif.get_camera_status(camera)
 
         for step in range(num_steps):
             pan = step_sizes[step]
             tilt = step_sizes[step]
 
             start_time = time.time()
-            self.onvif._move_relative(camera, pan, tilt, 0, 1)
+            await self.onvif._move_relative(camera, pan, tilt, 0, 1)
 
             # Wait until the camera finishes moving
             while not self.ptz_metrics[camera].motor_stopped.is_set():
-                self.onvif.get_camera_status(camera)
+                await self.onvif.get_camera_status(camera)
             stop_time = time.time()
 
             self.move_metrics[camera].append(
@@ -459,7 +508,7 @@ class PtzAutoTracker:
                 }
             )
 
-            self.onvif._move_to_preset(
+            await self.onvif._move_to_preset(
                 camera,
                 self.config.cameras[camera].onvif.autotracking.return_preset.lower(),
             )
@@ -468,7 +517,7 @@ class PtzAutoTracker:
 
             # Wait until the camera finishes moving
             while not self.ptz_metrics[camera].motor_stopped.is_set():
-                self.onvif.get_camera_status(camera)
+                await self.onvif.get_camera_status(camera)
 
             logger.info(
                 f"Calibration for {camera} in progress: {round((step / num_steps) * 100)}% complete"
@@ -500,9 +549,28 @@ class PtzAutoTracker:
 
             # simple linear regression with intercept
             X_with_intercept = np.column_stack((np.ones(X.shape[0]), X))
-            self.move_coefficients[camera] = np.linalg.lstsq(
-                X_with_intercept, y, rcond=None
-            )[0]
+            coefficients = np.linalg.lstsq(X_with_intercept, y, rcond=None)[0]
+
+            intercept, slope = coefficients
+
+            # Define reasonable bounds for PTZ movement times
+            MIN_MOVEMENT_TIME = 0.1  # Minimum time for any movement (100ms)
+            MAX_MOVEMENT_TIME = 10.0  # Maximum time for any movement
+            MAX_SLOPE = 2.0  # Maximum seconds per unit of movement
+
+            coefficients_valid = (
+                MIN_MOVEMENT_TIME <= intercept <= MAX_MOVEMENT_TIME
+                and 0 < slope <= MAX_SLOPE
+            )
+
+            if not coefficients_valid:
+                logger.warning(
+                    f"{camera}: Autotracking calibration failed. See the Frigate documentation."
+                )
+                return False
+
+            # If coefficients are valid, proceed with updates
+            self.move_coefficients[camera] = coefficients
 
             # only assign a new intercept if we're calibrating
             if calibration:
@@ -517,6 +585,7 @@ class PtzAutoTracker:
                     self.ptz_metrics[camera].max_zoom.value,
                     self.intercept[camera],
                     *self.move_coefficients[camera],
+                    self.zoom_time[camera],
                 ]
             )
 
@@ -564,19 +633,31 @@ class PtzAutoTracker:
 
         # Extract areas and calculate weighted average
         # grab the largest dimension of the bounding box and create a square from that
+        # Filter out the initial frame and use a recent time window
+        current_time = obj.obj_data["frame_time"]
+        time_window = 1.5  # seconds
+        history = [
+            entry
+            for entry in self.tracked_object_history[camera]
+            if not entry.get("is_initial_frame", False)
+            and current_time - entry["frame_time"] <= time_window
+        ]
+        if not history:  # Fallback to latest if no recent entries
+            history = [self.tracked_object_history[camera][-1]]
+
         areas = [
             {
-                "frame_time": obj["frame_time"],
-                "box": obj["box"],
+                "frame_time": entry["frame_time"],
+                "box": entry["box"],
                 "area": max(
-                    obj["box"][2] - obj["box"][0], obj["box"][3] - obj["box"][1]
+                    entry["box"][2] - entry["box"][0], entry["box"][3] - entry["box"][1]
                 )
                 ** 2,
             }
-            for obj in self.tracked_object_history[camera]
+            for entry in history
         ]
 
-        filtered_areas = remove_outliers(areas) if len(areas) >= 2 else areas
+        filtered_areas = remove_outliers(areas) if len(areas) > 3 else areas
 
         # Filter entries that are not touching the frame edge
         filtered_areas_not_touching_edge = [
@@ -633,18 +714,17 @@ class PtzAutoTracker:
             centroid_distance < self.tracked_object_metrics[camera]["distance"]
         )
 
-    def _process_move_queue(self, camera):
-        camera_config = self.config.cameras[camera]
-        camera_config.frame_shape[1]
-        camera_config.frame_shape[0]
+    async def _process_move_queue(self, camera):
+        move_queue = self.move_queues[camera]
 
         while not self.stop_event.is_set():
             try:
-                move_data = self.move_queues[camera].get(True, 0.1)
-            except queue.Empty:
+                # Asynchronously wait for move data with a timeout
+                move_data = await asyncio.wait_for(move_queue.get(), timeout=0.1)
+            except asyncio.TimeoutError:
                 continue
 
-            with self.move_queue_locks[camera]:
+            async with self.move_queue_locks[camera]:
                 frame_time, pan, tilt, zoom = move_data
 
                 # if we're receiving move requests during a PTZ move, ignore them
@@ -653,8 +733,6 @@ class PtzAutoTracker:
                     self.ptz_metrics[camera].start_time.value,
                     self.ptz_metrics[camera].stop_time.value,
                 ):
-                    # instead of dequeueing this might be a good place to preemptively move based
-                    # on an estimate - for fast moving objects, etc.
                     logger.debug(
                         f"{camera}: Move queue: PTZ moving, dequeueing move request - frame time: {frame_time}, final pan: {pan}, final tilt: {tilt}, final zoom: {zoom}"
                     )
@@ -665,25 +743,24 @@ class PtzAutoTracker:
                         self.config.cameras[camera].onvif.autotracking.zooming
                         == ZoomingModeEnum.relative
                     ):
-                        self.onvif._move_relative(camera, pan, tilt, zoom, 1)
-
+                        await self.onvif._move_relative(camera, pan, tilt, zoom, 1)
                     else:
                         if pan != 0 or tilt != 0:
-                            self.onvif._move_relative(camera, pan, tilt, 0, 1)
+                            await self.onvif._move_relative(camera, pan, tilt, 0, 1)
 
                             # Wait until the camera finishes moving
                             while not self.ptz_metrics[camera].motor_stopped.is_set():
-                                self.onvif.get_camera_status(camera)
+                                await self.onvif.get_camera_status(camera)
 
                         if (
                             zoom > 0
                             and self.ptz_metrics[camera].zoom_level.value != zoom
                         ):
-                            self.onvif._zoom_absolute(camera, zoom, 1)
+                            await self.onvif._zoom_absolute(camera, zoom, 1)
 
                     # Wait until the camera finishes moving
                     while not self.ptz_metrics[camera].motor_stopped.is_set():
-                        self.onvif.get_camera_status(camera)
+                        await self.onvif.get_camera_status(camera)
 
                     if self.config.cameras[camera].onvif.autotracking.movement_weights:
                         logger.debug(
@@ -720,6 +797,10 @@ class PtzAutoTracker:
                     # calculate new coefficients if we have enough data
                     self._calculate_move_coefficients(camera)
 
+        # Clean up the queue on exit
+        while not move_queue.empty():
+            await move_queue.get()
+
     def _enqueue_move(self, camera, frame_time, pan, tilt, zoom):
         def split_value(value, suppress_diff=True):
             clipped = np.clip(value, -1, 1)
@@ -748,7 +829,9 @@ class PtzAutoTracker:
                     f"{camera}: Enqueue movement for frame time: {frame_time} pan: {pan}, tilt: {tilt}, zoom: {zoom}"
                 )
                 move_data = (frame_time, pan, tilt, zoom)
-                self.move_queues[camera].put(move_data)
+                self.onvif.loop.call_soon_threadsafe(
+                    self.move_queues[camera].put_nowait, move_data
+                )
 
                 # reset values to not split up large movements
                 pan = 0
@@ -1026,9 +1109,11 @@ class PtzAutoTracker:
         camera_height = camera_config.frame_shape[0]
         camera_fps = camera_config.detect.fps
         predicted_movement_time = 0
+        zoom_distance = 0
 
         average_velocity = np.zeros((4,))
         predicted_box = obj.obj_data["box"]
+        zoom_predicted_box = obj.obj_data["box"]
 
         centroid_x = obj.obj_data["centroid"][0]
         centroid_y = obj.obj_data["centroid"][1]
@@ -1037,20 +1122,20 @@ class PtzAutoTracker:
         pan = ((centroid_x / camera_width) - 0.5) * 2
         tilt = (0.5 - (centroid_y / camera_height)) * 2
 
+        _, average_velocity = (
+            self._get_valid_velocity(camera, obj)
+            if "velocity" not in self.tracked_object_metrics[camera]
+            else (
+                self.tracked_object_metrics[camera]["valid_velocity"],
+                self.tracked_object_metrics[camera]["velocity"],
+            )
+        )
+
         if (
             camera_config.onvif.autotracking.movement_weights
         ):  # use estimates if we have available coefficients
             predicted_movement_time = self._predict_movement_time(camera, pan, tilt)
 
-            _, average_velocity = (
-                self._get_valid_velocity(camera, obj)
-                if "velocity" not in self.tracked_object_metrics[camera]
-                else (
-                    self.tracked_object_metrics[camera]["valid_velocity"],
-                    self.tracked_object_metrics[camera]["velocity"],
-                )
-            )
-
             if np.any(average_velocity):
                 # this box could exceed the frame boundaries if velocity is high
                 # but we'll handle that in _enqueue_move() as two separate moves
@@ -1079,6 +1164,47 @@ class PtzAutoTracker:
             camera, obj, predicted_box, predicted_movement_time, debug_zoom=True
         )
 
+        if (
+            camera_config.onvif.autotracking.movement_weights
+            and camera_config.onvif.autotracking.zooming == ZoomingModeEnum.relative
+            and zoom != 0
+        ):
+            zoom_predicted_movement_time = 0
+
+            if np.any(average_velocity):
+                # Calculate the intended change in zoom level
+                zoom_change = (1 - abs(zoom)) * (1 if zoom >= 0 else -1)
+
+                # Calculate new zoom level and clamp to [0, 1]
+                new_zoom = max(
+                    0, min(1, self.ptz_metrics[camera].zoom_level.value + zoom_change)
+                )
+
+                # Calculate the actual zoom distance
+                zoom_distance = abs(
+                    new_zoom - self.ptz_metrics[camera].zoom_level.value
+                )
+
+                zoom_predicted_movement_time = zoom_distance * self.zoom_time[camera]
+
+                zoom_predicted_box = (
+                    predicted_box
+                    + camera_fps * zoom_predicted_movement_time * average_velocity
+                )
+
+                zoom_predicted_box = np.round(zoom_predicted_box).astype(int)
+
+                centroid_x = round((zoom_predicted_box[0] + zoom_predicted_box[2]) / 2)
+                centroid_y = round((zoom_predicted_box[1] + zoom_predicted_box[3]) / 2)
+
+                # recalculate pan and tilt with new centroid
+                pan = ((centroid_x / camera_width) - 0.5) * 2
+                tilt = (0.5 - (centroid_y / camera_height)) * 2
+
+            logger.debug(
+                f"{camera}: Zoom amount: {zoom}, zoom distance: {zoom_distance}, zoom predicted time: {zoom_predicted_movement_time}, zoom predicted box: {tuple(zoom_predicted_box)}"
+            )
+
         self._enqueue_move(camera, obj.obj_data["frame_time"], pan, tilt, zoom)
 
     def _autotrack_move_zoom_only(self, camera, obj):
@@ -1210,7 +1336,7 @@ class PtzAutoTracker:
                 return
 
             # this is a brand new object that's on our camera, has our label, entered the zone,
-            # is not a false positive, and is not initially motionless
+            # is not a false positive, and is active
             if (
                 # new object
                 self.tracked_object[camera] is None
@@ -1220,7 +1346,7 @@ class PtzAutoTracker:
                 and not obj.previous["false_positive"]
                 and not obj.false_positive
                 and not self.tracked_object_history[camera]
-                and obj.obj_data["motionless_count"] == 0
+                and obj.active
             ):
                 logger.debug(
                     f"{camera}: New object: {obj.obj_data['id']} {obj.obj_data['box']} {obj.obj_data['frame_time']}"
@@ -1315,7 +1441,7 @@ class PtzAutoTracker:
                     ** (1 / self.zoom_factor[camera])
                 }
 
-    def camera_maintenance(self, camera):
+    async def camera_maintenance(self, camera):
         # bail and don't check anything if we're calibrating or tracking an object
         if (
             not self.autotracker_init[camera]
@@ -1332,7 +1458,7 @@ class PtzAutoTracker:
             self._autotracker_setup(self.config.cameras[camera], camera)
         # regularly update camera status
         if not self.ptz_metrics[camera].motor_stopped.is_set():
-            self.onvif.get_camera_status(camera)
+            await self.onvif.get_camera_status(camera)
 
         # return to preset if tracking is over
         if (
@@ -1350,22 +1476,18 @@ class PtzAutoTracker:
             self.tracked_object[camera] = None
             self.tracked_object_history[camera].clear()
 
-            # empty move queue
-            while not self.move_queues[camera].empty():
-                self.move_queues[camera].get()
-
             self.ptz_metrics[camera].motor_stopped.wait()
             logger.debug(
                 f"{camera}: Time is {self.ptz_metrics[camera].frame_time.value}, returning to preset: {autotracker_config.return_preset}"
             )
-            self.onvif._move_to_preset(
+            await self.onvif._move_to_preset(
                 camera,
                 autotracker_config.return_preset.lower(),
             )
 
             # update stored zoom level from preset
             if not self.ptz_metrics[camera].motor_stopped.is_set():
-                self.onvif.get_camera_status(camera)
+                await self.onvif.get_camera_status(camera)
 
             self.ptz_metrics[camera].tracking_active.clear()
             self.dispatcher.publish(
diff --git a/frigate/ptz/onvif.py b/frigate/ptz/onvif.py
index 82529e967..81c8b9852 100644
--- a/frigate/ptz/onvif.py
+++ b/frigate/ptz/onvif.py
@@ -1,15 +1,17 @@
 """Configure and control camera via onvif."""
 
+import asyncio
 import logging
+import threading
+import time
 from enum import Enum
 from importlib.util import find_spec
 from pathlib import Path
+from typing import Any
 
 import numpy
-import requests
-from onvif import ONVIFCamera, ONVIFError
+from onvif import ONVIFCamera, ONVIFError, ONVIFService
 from zeep.exceptions import Fault, TransportError
-from zeep.transports import Transport
 
 from frigate.camera import PTZMetrics
 from frigate.config import FrigateConfig, ZoomingModeEnum
@@ -39,69 +41,114 @@ class OnvifController:
     def __init__(
         self, config: FrigateConfig, ptz_metrics: dict[str, PTZMetrics]
     ) -> None:
-        self.cams: dict[str, ONVIFCamera] = {}
+        self.cams: dict[str, dict] = {}
+        self.failed_cams: dict[str, dict] = {}
+        self.max_retries = 5
+        self.reset_timeout = 900  # 15 minutes
         self.config = config
         self.ptz_metrics = ptz_metrics
 
+        # Create a dedicated event loop and run it in a separate thread
+        self.loop = asyncio.new_event_loop()
+        self.loop_thread = threading.Thread(target=self._run_event_loop, daemon=True)
+        self.loop_thread.start()
+
+        self.camera_configs = {}
         for cam_name, cam in config.cameras.items():
             if not cam.enabled:
                 continue
-
             if cam.onvif.host:
-                try:
-                    session = requests.Session()
-                    session.verify = not cam.onvif.tls_insecure
-                    transport = Transport(
-                        timeout=10, operation_timeout=10, session=session
-                    )
-                    self.cams[cam_name] = {
-                        "onvif": ONVIFCamera(
-                            cam.onvif.host,
-                            cam.onvif.port,
-                            cam.onvif.user,
-                            cam.onvif.password,
-                            wsdl_dir=str(
-                                Path(find_spec("onvif").origin).parent / "wsdl"
-                            ).replace("dist-packages/onvif", "site-packages"),
-                            adjust_time=cam.onvif.ignore_time_mismatch,
-                            transport=transport,
-                        ),
-                        "init": False,
-                        "active": False,
-                        "features": [],
-                        "presets": {},
-                    }
-                except ONVIFError as e:
-                    logger.error(f"Onvif connection to {cam.name} failed: {e}")
+                self.camera_configs[cam_name] = cam
 
-    def _init_onvif(self, camera_name: str) -> bool:
+        asyncio.run_coroutine_threadsafe(self._init_cameras(), self.loop)
+
+    def _run_event_loop(self) -> None:
+        """Run the event loop in a separate thread."""
+        asyncio.set_event_loop(self.loop)
+        try:
+            self.loop.run_forever()
+        except Exception as e:
+            logger.error(f"Onvif event loop terminated unexpectedly: {e}")
+
+    async def _init_cameras(self) -> None:
+        """Initialize all configured cameras."""
+        for cam_name in self.camera_configs:
+            await self._init_single_camera(cam_name)
+
+    async def _init_single_camera(self, cam_name: str) -> bool:
+        """Initialize a single camera by name.
+
+        Args:
+            cam_name: The name of the camera to initialize
+
+        Returns:
+            bool: True if initialization succeeded, False otherwise
+        """
+        if cam_name not in self.camera_configs:
+            logger.error(f"No configuration found for camera {cam_name}")
+            return False
+
+        cam = self.camera_configs[cam_name]
+        try:
+            self.cams[cam_name] = {
+                "onvif": ONVIFCamera(
+                    cam.onvif.host,
+                    cam.onvif.port,
+                    cam.onvif.user,
+                    cam.onvif.password,
+                    wsdl_dir=str(Path(find_spec("onvif").origin).parent / "wsdl"),
+                    adjust_time=cam.onvif.ignore_time_mismatch,
+                    encrypt=not cam.onvif.tls_insecure,
+                ),
+                "init": False,
+                "active": False,
+                "features": [],
+                "presets": {},
+            }
+            return True
+        except (Fault, ONVIFError, TransportError, Exception) as e:
+            logger.error(f"Failed to create ONVIF camera instance for {cam_name}: {e}")
+            # track initial failures
+            self.failed_cams[cam_name] = {
+                "retry_attempts": 0,
+                "last_error": str(e),
+                "last_attempt": time.time(),
+            }
+            return False
+
+    async def _init_onvif(self, camera_name: str) -> bool:
         onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
+        try:
+            await onvif.update_xaddrs()
+        except Exception as e:
+            logger.error(f"Onvif connection failed for {camera_name}: {e}")
+            return False
 
         # create init services
-        media = onvif.create_media_service()
+        media: ONVIFService = await onvif.create_media_service()
         logger.debug(f"Onvif media xaddr for {camera_name}: {media.xaddr}")
 
         try:
             # this will fire an exception if camera is not a ptz
             capabilities = onvif.get_definition("ptz")
             logger.debug(f"Onvif capabilities for {camera_name}: {capabilities}")
-        except (ONVIFError, Fault, TransportError) as e:
+        except (Fault, ONVIFError, TransportError, Exception) as e:
             logger.error(
                 f"Unable to get Onvif capabilities for camera: {camera_name}: {e}"
             )
             return False
 
         try:
-            profiles = media.GetProfiles()
+            profiles = await media.GetProfiles()
             logger.debug(f"Onvif profiles for {camera_name}: {profiles}")
-        except (ONVIFError, Fault, TransportError) as e:
+        except (Fault, ONVIFError, TransportError, Exception) as e:
             logger.error(
                 f"Unable to get Onvif media profiles for camera: {camera_name}: {e}"
             )
             return False
 
         profile = None
-        for key, onvif_profile in enumerate(profiles):
+        for _, onvif_profile in enumerate(profiles):
             if (
                 onvif_profile.VideoEncoderConfiguration
                 and onvif_profile.PTZConfiguration
@@ -135,7 +182,8 @@ class OnvifController:
             )
             return False
 
-        ptz = onvif.create_ptz_service()
+        ptz: ONVIFService = await onvif.create_ptz_service()
+        self.cams[camera_name]["ptz"] = ptz
 
         # setup continuous moving request
         move_request = ptz.create_type("ContinuousMove")
@@ -149,7 +197,7 @@ class OnvifController:
         ):
             request = ptz.create_type("GetConfigurationOptions")
             request.ConfigurationToken = profile.PTZConfiguration.token
-            ptz_config = ptz.GetConfigurationOptions(request)
+            ptz_config = await ptz.GetConfigurationOptions(request)
             logger.debug(f"Onvif config for {camera_name}: {ptz_config}")
 
             service_capabilities_request = ptz.create_type("GetServiceCapabilities")
@@ -173,7 +221,7 @@ class OnvifController:
             status_request.ProfileToken = profile.token
             self.cams[camera_name]["status_request"] = status_request
             try:
-                status = ptz.GetStatus(status_request)
+                status = await ptz.GetStatus(status_request)
                 logger.debug(f"Onvif status config for {camera_name}: {status}")
             except Exception as e:
                 logger.warning(f"Unable to get status from camera: {camera_name}: {e}")
@@ -217,19 +265,25 @@ class OnvifController:
                             "RelativeZoomTranslationSpace"
                         ][zoom_space_id]["URI"]
                 else:
-                    if "Zoom" in move_request["Translation"]:
+                    if (
+                        move_request["Translation"] is not None
+                        and "Zoom" in move_request["Translation"]
+                    ):
                         del move_request["Translation"]["Zoom"]
-                    if "Zoom" in move_request["Speed"]:
+                    if (
+                        move_request["Speed"] is not None
+                        and "Zoom" in move_request["Speed"]
+                    ):
                         del move_request["Speed"]["Zoom"]
                     logger.debug(
                         f"{camera_name}: Relative move request after deleting zoom: {move_request}"
                     )
-            except Exception:
+            except Exception as e:
                 self.config.cameras[
                     camera_name
                 ].onvif.autotracking.zooming = ZoomingModeEnum.disabled
                 logger.warning(
-                    f"Disabling autotracking zooming for {camera_name}: Relative zoom not supported"
+                    f"Disabling autotracking zooming for {camera_name}: Relative zoom not supported. Exception: {e}"
                 )
 
             if move_request.Speed is None:
@@ -246,8 +300,8 @@ class OnvifController:
 
         # setup existing presets
         try:
-            presets: list[dict] = ptz.GetPresets({"ProfileToken": profile.token})
-        except ONVIFError as e:
+            presets: list[dict] = await ptz.GetPresets({"ProfileToken": profile.token})
+        except (Fault, ONVIFError, TransportError, Exception) as e:
             logger.warning(f"Unable to get presets from camera: {camera_name}: {e}")
             presets = []
 
@@ -279,7 +333,7 @@ class OnvifController:
                     self.cams[camera_name]["relative_zoom_range"] = (
                         ptz_config.Spaces.RelativeZoomTranslationSpace[0]
                     )
-                except Exception:
+                except Exception as e:
                     if (
                         self.config.cameras[camera_name].onvif.autotracking.zooming
                         == ZoomingModeEnum.relative
@@ -288,7 +342,7 @@ class OnvifController:
                             camera_name
                         ].onvif.autotracking.zooming = ZoomingModeEnum.disabled
                         logger.warning(
-                            f"Disabling autotracking zooming for {camera_name}: Relative zoom not supported"
+                            f"Disabling autotracking zooming for {camera_name}: Relative zoom not supported. Exception: {e}"
                         )
 
         if configs.DefaultAbsoluteZoomPositionSpace:
@@ -303,13 +357,13 @@ class OnvifController:
                         ptz_config.Spaces.AbsoluteZoomPositionSpace[0]
                     )
                     self.cams[camera_name]["zoom_limits"] = configs.ZoomLimits
-                except Exception:
+                except Exception as e:
                     if self.config.cameras[camera_name].onvif.autotracking.zooming:
                         self.config.cameras[
                             camera_name
                         ].onvif.autotracking.zooming = ZoomingModeEnum.disabled
                         logger.warning(
-                            f"Disabling autotracking zooming for {camera_name}: Absolute zoom not supported"
+                            f"Disabling autotracking zooming for {camera_name}: Absolute zoom not supported. Exception: {e}"
                         )
 
         # set relative pan/tilt space for autotracker
@@ -325,14 +379,12 @@ class OnvifController:
             )
 
         self.cams[camera_name]["features"] = supported_features
-
         self.cams[camera_name]["init"] = True
         return True
 
-    def _stop(self, camera_name: str) -> None:
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
+    async def _stop(self, camera_name: str) -> None:
         move_request = self.cams[camera_name]["move_request"]
-        onvif.get_service("ptz").Stop(
+        await self.cams[camera_name]["ptz"].Stop(
             {
                 "ProfileToken": move_request.ProfileToken,
                 "PanTilt": True,
@@ -341,19 +393,18 @@ class OnvifController:
         )
         self.cams[camera_name]["active"] = False
 
-    def _move(self, camera_name: str, command: OnvifCommandEnum) -> None:
+    async def _move(self, camera_name: str, command: OnvifCommandEnum) -> None:
         if self.cams[camera_name]["active"]:
             logger.warning(
                 f"{camera_name} is already performing an action, stopping..."
             )
-            self._stop(camera_name)
+            await self._stop(camera_name)
 
         if "pt" not in self.cams[camera_name]["features"]:
             logger.error(f"{camera_name} does not support ONVIF pan/tilt movement.")
             return
 
         self.cams[camera_name]["active"] = True
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         move_request = self.cams[camera_name]["move_request"]
 
         if command == OnvifCommandEnum.move_left:
@@ -376,11 +427,11 @@ class OnvifController:
             }
 
         try:
-            onvif.get_service("ptz").ContinuousMove(move_request)
-        except ONVIFError as e:
+            await self.cams[camera_name]["ptz"].ContinuousMove(move_request)
+        except (Fault, ONVIFError, TransportError, Exception) as e:
             logger.warning(f"Onvif sending move request to {camera_name} failed: {e}")
 
-    def _move_relative(self, camera_name: str, pan, tilt, zoom, speed) -> None:
+    async def _move_relative(self, camera_name: str, pan, tilt, zoom, speed) -> None:
         if "pt-r-fov" not in self.cams[camera_name]["features"]:
             logger.error(f"{camera_name} does not support ONVIF RelativeMove (FOV).")
             return
@@ -404,7 +455,6 @@ class OnvifController:
             camera_name
         ].frame_time.value
         self.ptz_metrics[camera_name].stop_time.value = 0
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         move_request = self.cams[camera_name]["relative_move_request"]
 
         # function takes in -1 to 1 for pan and tilt, interpolate to the values of the camera.
@@ -450,7 +500,7 @@ class OnvifController:
             }
             move_request.Translation.Zoom.x = zoom
 
-        onvif.get_service("ptz").RelativeMove(move_request)
+        await self.cams[camera_name]["ptz"].RelativeMove(move_request)
 
         # reset after the move request
         move_request.Translation.PanTilt.x = 0
@@ -465,19 +515,18 @@ class OnvifController:
 
         self.cams[camera_name]["active"] = False
 
-    def _move_to_preset(self, camera_name: str, preset: str) -> None:
+    async def _move_to_preset(self, camera_name: str, preset: str) -> None:
         if preset not in self.cams[camera_name]["presets"]:
             logger.error(f"{preset} is not a valid preset for {camera_name}")
             return
 
         self.cams[camera_name]["active"] = True
-        self.ptz_metrics[camera_name].motor_stopped.clear()
         self.ptz_metrics[camera_name].start_time.value = 0
         self.ptz_metrics[camera_name].stop_time.value = 0
         move_request = self.cams[camera_name]["move_request"]
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         preset_token = self.cams[camera_name]["presets"][preset]
-        onvif.get_service("ptz").GotoPreset(
+
+        await self.cams[camera_name]["ptz"].GotoPreset(
             {
                 "ProfileToken": move_request.ProfileToken,
                 "PresetToken": preset_token,
@@ -486,19 +535,18 @@ class OnvifController:
 
         self.cams[camera_name]["active"] = False
 
-    def _zoom(self, camera_name: str, command: OnvifCommandEnum) -> None:
+    async def _zoom(self, camera_name: str, command: OnvifCommandEnum) -> None:
         if self.cams[camera_name]["active"]:
             logger.warning(
                 f"{camera_name} is already performing an action, stopping..."
             )
-            self._stop(camera_name)
+            await self._stop(camera_name)
 
         if "zoom" not in self.cams[camera_name]["features"]:
             logger.error(f"{camera_name} does not support ONVIF zooming.")
             return
 
         self.cams[camera_name]["active"] = True
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         move_request = self.cams[camera_name]["move_request"]
 
         if command == OnvifCommandEnum.zoom_in:
@@ -506,9 +554,9 @@ class OnvifController:
         elif command == OnvifCommandEnum.zoom_out:
             move_request.Velocity = {"Zoom": {"x": -0.5}}
 
-        onvif.get_service("ptz").ContinuousMove(move_request)
+        await self.cams[camera_name]["ptz"].ContinuousMove(move_request)
 
-    def _zoom_absolute(self, camera_name: str, zoom, speed) -> None:
+    async def _zoom_absolute(self, camera_name: str, zoom, speed) -> None:
         if "zoom-a" not in self.cams[camera_name]["features"]:
             logger.error(f"{camera_name} does not support ONVIF AbsoluteMove zooming.")
             return
@@ -530,7 +578,6 @@ class OnvifController:
             camera_name
         ].frame_time.value
         self.ptz_metrics[camera_name].stop_time.value = 0
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         move_request = self.cams[camera_name]["absolute_move_request"]
 
         # function takes in 0 to 1 for zoom, interpolate to the values of the camera.
@@ -548,19 +595,20 @@ class OnvifController:
 
         logger.debug(f"{camera_name}: Absolute zoom: {zoom}")
 
-        onvif.get_service("ptz").AbsoluteMove(move_request)
+        await self.cams[camera_name]["ptz"].AbsoluteMove(move_request)
 
         self.cams[camera_name]["active"] = False
 
-    def handle_command(
+    async def handle_command_async(
         self, camera_name: str, command: OnvifCommandEnum, param: str = ""
     ) -> None:
+        """Handle ONVIF commands asynchronously"""
         if camera_name not in self.cams.keys():
-            logger.error(f"Onvif is not setup for {camera_name}")
+            logger.error(f"ONVIF is not configured for {camera_name}")
             return
 
         if not self.cams[camera_name]["init"]:
-            if not self._init_onvif(camera_name):
+            if not await self._init_onvif(camera_name):
                 return
 
         try:
@@ -568,52 +616,140 @@ class OnvifController:
                 # already init
                 return
             elif command == OnvifCommandEnum.stop:
-                self._stop(camera_name)
+                await self._stop(camera_name)
             elif command == OnvifCommandEnum.preset:
-                self._move_to_preset(camera_name, param)
+                await self._move_to_preset(camera_name, param)
             elif command == OnvifCommandEnum.move_relative:
                 _, pan, tilt = param.split("_")
-                self._move_relative(camera_name, float(pan), float(tilt), 0, 1)
+                await self._move_relative(camera_name, float(pan), float(tilt), 0, 1)
             elif (
                 command == OnvifCommandEnum.zoom_in
                 or command == OnvifCommandEnum.zoom_out
             ):
-                self._zoom(camera_name, command)
+                await self._zoom(camera_name, command)
             else:
-                self._move(camera_name, command)
-        except ONVIFError as e:
+                await self._move(camera_name, command)
+        except (Fault, ONVIFError, TransportError, Exception) as e:
             logger.error(f"Unable to handle onvif command: {e}")
 
-    def get_camera_info(self, camera_name: str) -> dict[str, any]:
+    def handle_command(
+        self, camera_name: str, command: OnvifCommandEnum, param: str = ""
+    ) -> None:
+        """
+        Handle ONVIF commands by scheduling them in the event loop.
+        This is the synchronous interface that schedules async work.
+        """
+        future = asyncio.run_coroutine_threadsafe(
+            self.handle_command_async(camera_name, command, param), self.loop
+        )
+
+        try:
+            # Wait with a timeout to prevent blocking indefinitely
+            future.result(timeout=10)
+        except asyncio.TimeoutError:
+            logger.error(f"Command {command} timed out for camera {camera_name}")
+        except Exception as e:
+            logger.error(
+                f"Error executing command {command} for camera {camera_name}: {e}"
+            )
+
+    async def get_camera_info(self, camera_name: str) -> dict[str, Any]:
+        """
+        Get ptz capabilities and presets, attempting to reconnect if ONVIF is configured
+        but not initialized.
+
+        Returns camera details including features and presets if available.
+        """
+        if not self.config.cameras[camera_name].enabled:
+            logger.debug(
+                f"Camera {camera_name} disabled, won't try to initialize ONVIF"
+            )
+            return {}
+
+        if camera_name not in self.cams.keys() and (
+            camera_name not in self.config.cameras
+            or not self.config.cameras[camera_name].onvif.host
+        ):
+            logger.debug(f"ONVIF is not configured for {camera_name}")
+            return {}
+
+        if camera_name in self.cams.keys() and self.cams[camera_name]["init"]:
+            return {
+                "name": camera_name,
+                "features": self.cams[camera_name]["features"],
+                "presets": list(self.cams[camera_name]["presets"].keys()),
+            }
+
+        if camera_name not in self.cams.keys() and camera_name in self.config.cameras:
+            success = await self._init_single_camera(camera_name)
+            if not success:
+                return {}
+
+        # Reset retry count after timeout
+        attempts = self.failed_cams.get(camera_name, {}).get("retry_attempts", 0)
+        last_attempt = self.failed_cams.get(camera_name, {}).get("last_attempt", 0)
+
+        if last_attempt and (time.time() - last_attempt) > self.reset_timeout:
+            logger.debug(f"Resetting retry count for {camera_name} after timeout")
+            attempts = 0
+            self.failed_cams[camera_name]["retry_attempts"] = 0
+
+        # Attempt initialization/reconnection
+        if attempts < self.max_retries:
+            logger.info(
+                f"Attempting ONVIF initialization for {camera_name} (retry {attempts + 1}/{self.max_retries})"
+            )
+            try:
+                if await self._init_onvif(camera_name):
+                    if camera_name in self.failed_cams:
+                        del self.failed_cams[camera_name]
+                    return {
+                        "name": camera_name,
+                        "features": self.cams[camera_name]["features"],
+                        "presets": list(self.cams[camera_name]["presets"].keys()),
+                    }
+                else:
+                    logger.warning(f"ONVIF initialization failed for {camera_name}")
+            except Exception as e:
+                logger.error(
+                    f"Error during ONVIF initialization for {camera_name}: {e}"
+                )
+                if camera_name not in self.failed_cams:
+                    self.failed_cams[camera_name] = {"retry_attempts": 0}
+                self.failed_cams[camera_name].update(
+                    {
+                        "retry_attempts": attempts + 1,
+                        "last_error": str(e),
+                        "last_attempt": time.time(),
+                    }
+                )
+
+        if attempts >= self.max_retries:
+            remaining_time = max(
+                0, int((self.reset_timeout - (time.time() - last_attempt)) / 60)
+            )
+            logger.error(
+                f"Too many ONVIF initialization attempts for {camera_name}, retry in {remaining_time} minute{'s' if remaining_time != 1 else ''}"
+            )
+
+        logger.debug(f"Could not initialize ONVIF for {camera_name}")
+        return {}
+
+    async def get_service_capabilities(self, camera_name: str) -> None:
         if camera_name not in self.cams.keys():
-            logger.debug(f"Onvif is not setup for {camera_name}")
+            logger.error(f"ONVIF is not configured for {camera_name}")
             return {}
 
         if not self.cams[camera_name]["init"]:
-            self._init_onvif(camera_name)
+            await self._init_onvif(camera_name)
 
-        return {
-            "name": camera_name,
-            "features": self.cams[camera_name]["features"],
-            "presets": list(self.cams[camera_name]["presets"].keys()),
-        }
-
-    def get_service_capabilities(self, camera_name: str) -> None:
-        if camera_name not in self.cams.keys():
-            logger.error(f"Onvif is not setup for {camera_name}")
-            return {}
-
-        if not self.cams[camera_name]["init"]:
-            self._init_onvif(camera_name)
-
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         service_capabilities_request = self.cams[camera_name][
             "service_capabilities_request"
         ]
         try:
-            service_capabilities = onvif.get_service("ptz").GetServiceCapabilities(
-                service_capabilities_request
-            )
+            service_capabilities = await self.cams[camera_name][
+                "ptz"
+            ].GetServiceCapabilities(service_capabilities_request)
 
             logger.debug(
                 f"Onvif service capabilities for {camera_name}: {service_capabilities}"
@@ -621,24 +757,24 @@ class OnvifController:
 
             # MoveStatus is required for autotracking - should return "true" if supported
             return find_by_key(vars(service_capabilities), "MoveStatus")
-        except Exception:
+        except Exception as e:
             logger.warning(
-                f"Camera {camera_name} does not support the ONVIF GetServiceCapabilities method. Autotracking will not function correctly and must be disabled in your config."
+                f"Camera {camera_name} does not support the ONVIF GetServiceCapabilities method. Autotracking will not function correctly and must be disabled in your config. Exception: {e}"
             )
             return False
 
-    def get_camera_status(self, camera_name: str) -> None:
+    async def get_camera_status(self, camera_name: str) -> None:
         if camera_name not in self.cams.keys():
-            logger.error(f"Onvif is not setup for {camera_name}")
-            return {}
+            logger.error(f"ONVIF is not configured for {camera_name}")
+            return
 
         if not self.cams[camera_name]["init"]:
-            self._init_onvif(camera_name)
+            if not await self._init_onvif(camera_name):
+                return
 
-        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
         status_request = self.cams[camera_name]["status_request"]
         try:
-            status = onvif.get_service("ptz").GetStatus(status_request)
+            status = await self.cams[camera_name]["ptz"].GetStatus(status_request)
         except Exception:
             pass  # We're unsupported, that'll be reported in the next check.
 
@@ -662,6 +798,10 @@ class OnvifController:
             )
             return
 
+        logger.debug(
+            f"{camera_name}: Pan/tilt status: {pan_tilt_status}, Zoom status: {zoom_status}"
+        )
+
         if pan_tilt_status == "IDLE" and (zoom_status is None or zoom_status == "IDLE"):
             self.cams[camera_name]["active"] = False
             if not self.ptz_metrics[camera_name].motor_stopped.is_set():
@@ -722,3 +862,22 @@ class OnvifController:
                 camera_name
             ].frame_time.value
             logger.warning(f"Camera {camera_name} is still in ONVIF 'MOVING' status.")
+
+    def close(self) -> None:
+        """Gracefully shut down the ONVIF controller."""
+        if not hasattr(self, "loop") or self.loop.is_closed():
+            logger.debug("ONVIF controller already closed")
+            return
+
+        logger.info("Exiting ONVIF controller...")
+
+        def stop_and_cleanup():
+            try:
+                self.loop.stop()
+            except Exception as e:
+                logger.error(f"Error during loop cleanup: {e}")
+
+        # Schedule stop and cleanup in the loop thread
+        self.loop.call_soon_threadsafe(stop_and_cleanup)
+
+        self.loop_thread.join()
diff --git a/frigate/record/cleanup.py b/frigate/record/cleanup.py
index e526b020d..1de08a899 100644
--- a/frigate/record/cleanup.py
+++ b/frigate/record/cleanup.py
@@ -12,7 +12,7 @@ from playhouse.sqlite_ext import SqliteExtDatabase
 
 from frigate.config import CameraConfig, FrigateConfig, RetainModeEnum
 from frigate.const import CACHE_DIR, CLIPS_DIR, MAX_WAL_SIZE, RECORD_DIR
-from frigate.models import Previews, Recordings, ReviewSegment
+from frigate.models import Previews, Recordings, ReviewSegment, UserReviewStatus
 from frigate.record.util import remove_empty_directories, sync_recordings
 from frigate.util.builtin import clear_and_unlink, get_tomorrow_at_time
 
@@ -69,7 +69,7 @@ class RecordingCleanup(threading.Thread):
             now - datetime.timedelta(days=config.record.detections.retain.days)
         ).timestamp()
         expired_reviews: ReviewSegment = (
-            ReviewSegment.select(ReviewSegment.id)
+            ReviewSegment.select(ReviewSegment.id, ReviewSegment.thumb_path)
             .where(ReviewSegment.camera == config.name)
             .where(
                 (
@@ -84,12 +84,20 @@ class RecordingCleanup(threading.Thread):
             .namedtuples()
         )
 
+        thumbs_to_delete = list(map(lambda x: x[1], expired_reviews))
+        for thumb_path in thumbs_to_delete:
+            Path(thumb_path).unlink(missing_ok=True)
+
         max_deletes = 100000
         deleted_reviews_list = list(map(lambda x: x[0], expired_reviews))
         for i in range(0, len(deleted_reviews_list), max_deletes):
             ReviewSegment.delete().where(
                 ReviewSegment.id << deleted_reviews_list[i : i + max_deletes]
             ).execute()
+            UserReviewStatus.delete().where(
+                UserReviewStatus.review_segment
+                << deleted_reviews_list[i : i + max_deletes]
+            ).execute()
 
     def expire_existing_camera_recordings(
         self, expire_date: float, config: CameraConfig, reviews: ReviewSegment
diff --git a/frigate/record/export.py b/frigate/record/export.py
index a4b9ee521..0d3f96da0 100644
--- a/frigate/record/export.py
+++ b/frigate/record/export.py
@@ -79,8 +79,8 @@ class RecordingExporter(threading.Thread):
         Path(os.path.join(CLIPS_DIR, "export")).mkdir(exist_ok=True)
 
     def get_datetime_from_timestamp(self, timestamp: int) -> str:
-        """Convenience fun to get a simple date time from timestamp."""
-        return datetime.datetime.fromtimestamp(timestamp).strftime("%Y/%m/%d %H:%M")
+        # return in iso format
+        return datetime.datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S")
 
     def save_thumbnail(self, id: str) -> str:
         thumb_path = os.path.join(CLIPS_DIR, f"export/{id}.webp")
@@ -126,7 +126,7 @@ class RecordingExporter(threading.Thread):
             minutes = int(diff / 60)
             seconds = int(diff % 60)
             ffmpeg_cmd = [
-                self.config.ffmpeg.ffmpeg_path,
+                "/usr/lib/ffmpeg/7.0/bin/ffmpeg",  # hardcode path for exports thumbnail due to missing libwebp support
                 "-hide_banner",
                 "-loglevel",
                 "warning",
@@ -219,7 +219,7 @@ class RecordingExporter(threading.Thread):
 
         if self.playback_factor == PlaybackFactorEnum.realtime:
             ffmpeg_cmd = (
-                f"{self.config.ffmpeg.ffmpeg_path} -hide_banner {ffmpeg_input} -c copy -movflags +faststart {video_path}"
+                f"{self.config.ffmpeg.ffmpeg_path} -hide_banner {ffmpeg_input} -c copy -movflags +faststart"
             ).split(" ")
         elif self.playback_factor == PlaybackFactorEnum.timelapse_25x:
             ffmpeg_cmd = (
@@ -227,11 +227,17 @@ class RecordingExporter(threading.Thread):
                     self.config.ffmpeg.ffmpeg_path,
                     self.config.ffmpeg.hwaccel_args,
                     f"-an {ffmpeg_input}",
-                    f"{self.config.cameras[self.camera].record.export.timelapse_args} -movflags +faststart {video_path}",
+                    f"{self.config.cameras[self.camera].record.export.timelapse_args} -movflags +faststart",
                     EncodeTypeEnum.timelapse,
                 )
             ).split(" ")
 
+        # add metadata
+        title = f"Frigate Recording for {self.camera}, {self.get_datetime_from_timestamp(self.start_time)} - {self.get_datetime_from_timestamp(self.end_time)}"
+        ffmpeg_cmd.extend(["-metadata", f"title={title}"])
+
+        ffmpeg_cmd.append(video_path)
+
         return ffmpeg_cmd, playlist_lines
 
     def get_preview_export_command(self, video_path: str) -> list[str]:
@@ -317,6 +323,10 @@ class RecordingExporter(threading.Thread):
                 )
             ).split(" ")
 
+        # add metadata
+        title = f"Frigate Preview for {self.camera}, {self.get_datetime_from_timestamp(self.start_time)} - {self.get_datetime_from_timestamp(self.end_time)}"
+        ffmpeg_cmd.extend(["-metadata", f"title={title}"])
+
         return ffmpeg_cmd, playlist_lines
 
     def run(self) -> None:
@@ -327,7 +337,14 @@ class RecordingExporter(threading.Thread):
             self.user_provided_name
             or f"{self.camera.replace('_', ' ')} {self.get_datetime_from_timestamp(self.start_time)} {self.get_datetime_from_timestamp(self.end_time)}"
         )
-        video_path = f"{EXPORT_DIR}/{self.export_id}.mp4"
+        filename_start_datetime = datetime.datetime.fromtimestamp(
+            self.start_time
+        ).strftime("%Y%m%d_%H%M%S")
+        filename_end_datetime = datetime.datetime.fromtimestamp(self.end_time).strftime(
+            "%Y%m%d_%H%M%S"
+        )
+        cleaned_export_id = self.export_id.split("_")[-1]
+        video_path = f"{EXPORT_DIR}/{self.camera}_{filename_start_datetime}-{filename_end_datetime}_{cleaned_export_id}.mp4"
         thumb_path = self.save_thumbnail(self.export_id)
 
         Export.insert(
@@ -342,10 +359,13 @@ class RecordingExporter(threading.Thread):
             }
         ).execute()
 
-        if self.playback_source == PlaybackSourceEnum.recordings:
-            ffmpeg_cmd, playlist_lines = self.get_record_export_command(video_path)
-        else:
-            ffmpeg_cmd, playlist_lines = self.get_preview_export_command(video_path)
+        try:
+            if self.playback_source == PlaybackSourceEnum.recordings:
+                ffmpeg_cmd, playlist_lines = self.get_record_export_command(video_path)
+            else:
+                ffmpeg_cmd, playlist_lines = self.get_preview_export_command(video_path)
+        except DoesNotExist:
+            return
 
         p = sp.run(
             ffmpeg_cmd,
diff --git a/frigate/record/maintainer.py b/frigate/record/maintainer.py
index a4c23763d..f1b9a600e 100644
--- a/frigate/record/maintainer.py
+++ b/frigate/record/maintainer.py
@@ -19,10 +19,15 @@ import psutil
 from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
 from frigate.comms.inter_process import InterProcessRequestor
+from frigate.comms.recordings_updater import (
+    RecordingsDataPublisher,
+    RecordingsDataTypeEnum,
+)
 from frigate.config import FrigateConfig, RetainModeEnum
 from frigate.const import (
     CACHE_DIR,
     CACHE_SEGMENT_FORMAT,
+    FAST_QUEUE_TIMEOUT,
     INSERT_MANY_RECORDINGS,
     MAX_SEGMENT_DURATION,
     MAX_SEGMENTS_IN_CACHE,
@@ -34,8 +39,6 @@ from frigate.util.services import get_video_properties
 
 logger = logging.getLogger(__name__)
 
-QUEUE_READ_TIMEOUT = 0.00001  # seconds
-
 
 class SegmentInfo:
     def __init__(
@@ -70,6 +73,9 @@ class RecordingMaintainer(threading.Thread):
         self.requestor = InterProcessRequestor()
         self.config_subscriber = ConfigSubscriber("config/record/")
         self.detection_subscriber = DetectionSubscriber(DetectionTypeEnum.all)
+        self.recordings_publisher = RecordingsDataPublisher(
+            RecordingsDataTypeEnum.recordings_available_through
+        )
 
         self.stop_event = stop_event
         self.object_recordings_info: dict[str, list] = defaultdict(list)
@@ -213,6 +219,16 @@ class RecordingMaintainer(threading.Thread):
                 [self.validate_and_move_segment(camera, reviews, r) for r in recordings]
             )
 
+            # publish most recently available recording time and None if disabled
+            self.recordings_publisher.publish(
+                (
+                    camera,
+                    recordings[0]["start_time"].timestamp()
+                    if self.config.cameras[camera].record.enabled
+                    else None,
+                )
+            )
+
         recordings_to_insert: list[Optional[Recordings]] = await asyncio.gather(*tasks)
 
         # fire and forget recordings entries
@@ -226,7 +242,7 @@ class RecordingMaintainer(threading.Thread):
         self.end_time_cache.pop(cache_path, None)
 
     async def validate_and_move_segment(
-        self, camera: str, reviews: list[ReviewSegment], recording: dict[str, any]
+        self, camera: str, reviews: list[ReviewSegment], recording: dict[str, Any]
     ) -> None:
         cache_path: str = recording["cache_path"]
         start_time: datetime.datetime = recording["start_time"]
@@ -456,7 +472,7 @@ class RecordingMaintainer(threading.Thread):
                     # get the segment size of the cache file
                     # file without faststart is same size
                     segment_size = round(
-                        float(os.path.getsize(cache_path)) / pow(2, 20), 1
+                        float(os.path.getsize(cache_path)) / pow(2, 20), 2
                     )
                 except OSError:
                     segment_size = 0
@@ -519,7 +535,7 @@ class RecordingMaintainer(threading.Thread):
             # empty the object recordings info queue
             while True:
                 (topic, data) = self.detection_subscriber.check_for_update(
-                    timeout=QUEUE_READ_TIMEOUT
+                    timeout=FAST_QUEUE_TIMEOUT
                 )
 
                 if not topic:
@@ -560,7 +576,7 @@ class RecordingMaintainer(threading.Thread):
                                 audio_detections,
                             )
                         )
-                elif topic == DetectionTypeEnum.api:
+                elif topic == DetectionTypeEnum.api or DetectionTypeEnum.lpr:
                     continue
 
                 if frame_time < run_start - stale_frame_count_threshold:
@@ -582,4 +598,5 @@ class RecordingMaintainer(threading.Thread):
         self.requestor.stop()
         self.config_subscriber.stop()
         self.detection_subscriber.stop()
+        self.recordings_publisher.stop()
         logger.info("Exiting recording maintenance...")
diff --git a/frigate/review/maintainer.py b/frigate/review/maintainer.py
index c99479a67..b144b6e52 100644
--- a/frigate/review/maintainer.py
+++ b/frigate/review/maintainer.py
@@ -1,5 +1,6 @@
 """Maintain review segments in db."""
 
+import copy
 import json
 import logging
 import os
@@ -9,7 +10,7 @@ import sys
 import threading
 from multiprocessing.synchronize import Event as MpEvent
 from pathlib import Path
-from typing import Optional
+from typing import Any, Optional
 
 import cv2
 import numpy as np
@@ -23,10 +24,9 @@ from frigate.const import (
     CLIPS_DIR,
     UPSERT_REVIEW_SEGMENT,
 )
-from frigate.events.external import ManualEventState
 from frigate.models import ReviewSegment
-from frigate.object_processing import TrackedObject
 from frigate.review.types import SeverityEnum
+from frigate.track.object_processing import ManualEventState, TrackedObject
 from frigate.util.image import SharedMemoryFrameManager, calculate_16_9_crop
 
 logger = logging.getLogger(__name__)
@@ -120,21 +120,23 @@ class PendingReviewSegment:
             )
 
     def get_data(self, ended: bool) -> dict:
-        return {
-            ReviewSegment.id.name: self.id,
-            ReviewSegment.camera.name: self.camera,
-            ReviewSegment.start_time.name: self.start_time,
-            ReviewSegment.end_time.name: self.last_update if ended else None,
-            ReviewSegment.severity.name: self.severity.value,
-            ReviewSegment.thumb_path.name: self.frame_path,
-            ReviewSegment.data.name: {
-                "detections": list(set(self.detections.keys())),
-                "objects": list(set(self.detections.values())),
-                "sub_labels": list(self.sub_labels.values()),
-                "zones": self.zones,
-                "audio": list(self.audio),
-            },
-        }.copy()
+        return copy.deepcopy(
+            {
+                ReviewSegment.id.name: self.id,
+                ReviewSegment.camera.name: self.camera,
+                ReviewSegment.start_time.name: self.start_time,
+                ReviewSegment.end_time.name: self.last_update if ended else None,
+                ReviewSegment.severity.name: self.severity.value,
+                ReviewSegment.thumb_path.name: self.frame_path,
+                ReviewSegment.data.name: {
+                    "detections": list(set(self.detections.keys())),
+                    "objects": list(set(self.detections.values())),
+                    "sub_labels": list(self.sub_labels.values()),
+                    "zones": self.zones,
+                    "audio": list(self.audio),
+                },
+            }
+        )
 
 
 class ReviewSegmentMaintainer(threading.Thread):
@@ -148,11 +150,13 @@ class ReviewSegmentMaintainer(threading.Thread):
 
         # create communication for review segments
         self.requestor = InterProcessRequestor()
-        self.config_subscriber = ConfigSubscriber("config/record/")
+        self.record_config_subscriber = ConfigSubscriber("config/record/")
+        self.review_config_subscriber = ConfigSubscriber("config/review/")
+        self.enabled_config_subscriber = ConfigSubscriber("config/enabled/")
         self.detection_subscriber = DetectionSubscriber(DetectionTypeEnum.all)
 
         # manual events
-        self.indefinite_events: dict[str, dict[str, any]] = {}
+        self.indefinite_events: dict[str, dict[str, Any]] = {}
 
         # ensure dirs
         Path(os.path.join(CLIPS_DIR, "review")).mkdir(exist_ok=True)
@@ -180,6 +184,9 @@ class ReviewSegmentMaintainer(threading.Thread):
                 }
             ),
         )
+        self.requestor.send_data(
+            f"{segment.camera}/review_status", segment.severity.value.upper()
+        )
 
     def _publish_segment_update(
         self,
@@ -187,7 +194,7 @@ class ReviewSegmentMaintainer(threading.Thread):
         camera_config: CameraConfig,
         frame,
         objects: list[TrackedObject],
-        prev_data: dict[str, any],
+        prev_data: dict[str, Any],
     ) -> None:
         """Update segment."""
         if frame is not None:
@@ -205,11 +212,14 @@ class ReviewSegmentMaintainer(threading.Thread):
                 }
             ),
         )
+        self.requestor.send_data(
+            f"{segment.camera}/review_status", segment.severity.value.upper()
+        )
 
     def _publish_segment_end(
         self,
         segment: PendingReviewSegment,
-        prev_data: dict[str, any],
+        prev_data: dict[str, Any],
     ) -> None:
         """End segment."""
         final_data = segment.get_data(ended=True)
@@ -224,8 +234,16 @@ class ReviewSegmentMaintainer(threading.Thread):
                 }
             ),
         )
+        self.requestor.send_data(f"{segment.camera}/review_status", "NONE")
         self.active_review_segments[segment.camera] = None
 
+    def end_segment(self, camera: str) -> None:
+        """End the pending segment for a camera."""
+        segment = self.active_review_segments.get(camera)
+        if segment:
+            prev_data = segment.get_data(False)
+            self._publish_segment_end(segment, prev_data)
+
     def update_existing_segment(
         self,
         segment: PendingReviewSegment,
@@ -245,7 +263,8 @@ class ReviewSegmentMaintainer(threading.Thread):
 
         if len(active_objects) > 0:
             has_activity = True
-            should_update = False
+            should_update_image = False
+            should_update_state = False
 
             if frame_time > segment.last_update:
                 segment.last_update = frame_time
@@ -273,9 +292,11 @@ class ReviewSegmentMaintainer(threading.Thread):
                             & set(camera_config.review.alerts.required_zones)
                         )
                     )
+                    and camera_config.review.alerts.enabled
                 ):
                     segment.severity = SeverityEnum.alert
-                    should_update = True
+                    should_update_state = True
+                    should_update_image = True
 
                 # keep zones up to date
                 if len(object["current_zones"]) > 0:
@@ -284,17 +305,24 @@ class ReviewSegmentMaintainer(threading.Thread):
                             segment.zones.append(zone)
 
             if len(active_objects) > segment.frame_active_count:
-                should_update = True
+                should_update_state = True
+                should_update_image = True
 
-            if should_update:
+            if prev_data["data"]["sub_labels"] != list(segment.sub_labels.values()):
+                should_update_state = True
+
+            if should_update_state:
                 try:
-                    yuv_frame = self.frame_manager.get(
-                        frame_name, camera_config.frame_shape_yuv
-                    )
+                    if should_update_image:
+                        yuv_frame = self.frame_manager.get(
+                            frame_name, camera_config.frame_shape_yuv
+                        )
 
-                    if yuv_frame is None:
-                        logger.debug(f"Failed to get frame {frame_name} from SHM")
-                        return
+                        if yuv_frame is None:
+                            logger.debug(f"Failed to get frame {frame_name} from SHM")
+                            return
+                    else:
+                        yuv_frame = None
 
                     self._publish_segment_update(
                         segment, camera_config, yuv_frame, active_objects, prev_data
@@ -369,13 +397,14 @@ class ReviewSegmentMaintainer(threading.Thread):
                             & set(camera_config.review.alerts.required_zones)
                         )
                     )
+                    and camera_config.review.alerts.enabled
                 ):
                     severity = SeverityEnum.alert
 
                 # if object is detection label
                 # and review is not already a detection or alert
                 # and has entered required zones or required zones is not set
-                # mark this review as alert
+                # mark this review as detection
                 if (
                     not severity
                     and (
@@ -390,6 +419,7 @@ class ReviewSegmentMaintainer(threading.Thread):
                             & set(camera_config.review.detections.required_zones)
                         )
                     )
+                    and camera_config.review.detections.enabled
                 ):
                     severity = SeverityEnum.detection
 
@@ -430,15 +460,48 @@ class ReviewSegmentMaintainer(threading.Thread):
             # check if there is an updated config
             while True:
                 (
-                    updated_topic,
+                    updated_record_topic,
                     updated_record_config,
-                ) = self.config_subscriber.check_for_update()
+                ) = self.record_config_subscriber.check_for_update()
 
-                if not updated_topic:
+                (
+                    updated_review_topic,
+                    updated_review_config,
+                ) = self.review_config_subscriber.check_for_update()
+
+                (
+                    updated_enabled_topic,
+                    updated_enabled_config,
+                ) = self.enabled_config_subscriber.check_for_update()
+
+                if (
+                    not updated_record_topic
+                    and not updated_review_topic
+                    and not updated_enabled_topic
+                ):
                     break
 
-                camera_name = updated_topic.rpartition("/")[-1]
-                self.config.cameras[camera_name].record = updated_record_config
+                if updated_record_topic:
+                    camera_name = updated_record_topic.rpartition("/")[-1]
+                    self.config.cameras[camera_name].record = updated_record_config
+
+                    # immediately end segment
+                    if not updated_record_config.enabled:
+                        self.end_segment(camera_name)
+
+                if updated_review_topic:
+                    camera_name = updated_review_topic.rpartition("/")[-1]
+                    self.config.cameras[camera_name].review = updated_review_config
+
+                if updated_enabled_config:
+                    camera_name = updated_enabled_topic.rpartition("/")[-1]
+                    self.config.cameras[
+                        camera_name
+                    ].enabled = updated_enabled_config.enabled
+
+                    # immediately end segment as we may not get another update
+                    if not updated_enabled_config.enabled:
+                        self.end_segment(camera_name)
 
             (topic, data) = self.detection_subscriber.check_for_update(timeout=1)
 
@@ -461,7 +524,7 @@ class ReviewSegmentMaintainer(threading.Thread):
                     _,
                     audio_detections,
                 ) = data
-            elif topic == DetectionTypeEnum.api:
+            elif topic == DetectionTypeEnum.api or DetectionTypeEnum.lpr:
                 (
                     camera,
                     frame_time,
@@ -471,16 +534,27 @@ class ReviewSegmentMaintainer(threading.Thread):
                 if camera not in self.indefinite_events:
                     self.indefinite_events[camera] = {}
 
-            current_segment = self.active_review_segments.get(camera)
-
-            if not self.config.cameras[camera].record.enabled:
-                if current_segment:
-                    self.update_existing_segment(
-                        current_segment, frame_name, frame_time, []
-                    )
-
+            if (
+                not self.config.cameras[camera].enabled
+                or not self.config.cameras[camera].record.enabled
+            ):
                 continue
 
+            current_segment = self.active_review_segments.get(camera)
+
+            # Check if the current segment should be processed based on enabled settings
+            if current_segment:
+                if (
+                    current_segment.severity == SeverityEnum.alert
+                    and not self.config.cameras[camera].review.alerts.enabled
+                ) or (
+                    current_segment.severity == SeverityEnum.detection
+                    and not self.config.cameras[camera].review.detections.enabled
+                ):
+                    self.end_segment(camera)
+                    continue
+
+            # If we reach here, the segment can be processed (if it exists)
             if current_segment is not None:
                 if topic == DetectionTypeEnum.video:
                     self.update_existing_segment(
@@ -496,20 +570,32 @@ class ReviewSegmentMaintainer(threading.Thread):
                         current_segment.last_update = frame_time
 
                     for audio in audio_detections:
-                        if audio in camera_config.review.alerts.labels:
+                        if (
+                            audio in camera_config.review.alerts.labels
+                            and camera_config.review.alerts.enabled
+                        ):
                             current_segment.audio.add(audio)
                             current_segment.severity = SeverityEnum.alert
                         elif (
                             camera_config.review.detections.labels is None
                             or audio in camera_config.review.detections.labels
-                        ):
+                        ) and camera_config.review.detections.enabled:
                             current_segment.audio.add(audio)
-                elif topic == DetectionTypeEnum.api:
+                elif topic == DetectionTypeEnum.api or topic == DetectionTypeEnum.lpr:
                     if manual_info["state"] == ManualEventState.complete:
                         current_segment.detections[manual_info["event_id"]] = (
                             manual_info["label"]
                         )
-                        current_segment.severity = SeverityEnum.alert
+                        if (
+                            topic == DetectionTypeEnum.api
+                            and self.config.cameras[camera].review.alerts.enabled
+                        ):
+                            current_segment.severity = SeverityEnum.alert
+                        elif (
+                            topic == DetectionTypeEnum.lpr
+                            and self.config.cameras[camera].review.detections.enabled
+                        ):
+                            current_segment.severity = SeverityEnum.detection
                         current_segment.last_update = manual_info["end_time"]
                     elif manual_info["state"] == ManualEventState.start:
                         self.indefinite_events[camera][manual_info["event_id"]] = (
@@ -518,7 +604,16 @@ class ReviewSegmentMaintainer(threading.Thread):
                         current_segment.detections[manual_info["event_id"]] = (
                             manual_info["label"]
                         )
-                        current_segment.severity = SeverityEnum.alert
+                        if (
+                            topic == DetectionTypeEnum.api
+                            and self.config.cameras[camera].review.alerts.enabled
+                        ):
+                            current_segment.severity = SeverityEnum.alert
+                        elif (
+                            topic == DetectionTypeEnum.lpr
+                            and self.config.cameras[camera].review.detections.enabled
+                        ):
+                            current_segment.severity = SeverityEnum.detection
 
                         # temporarily make it so this event can not end
                         current_segment.last_update = sys.maxsize
@@ -536,12 +631,16 @@ class ReviewSegmentMaintainer(threading.Thread):
                             )
             else:
                 if topic == DetectionTypeEnum.video:
-                    self.check_if_new_segment(
-                        camera,
-                        frame_name,
-                        frame_time,
-                        current_tracked_objects,
-                    )
+                    if (
+                        self.config.cameras[camera].review.alerts.enabled
+                        or self.config.cameras[camera].review.detections.enabled
+                    ):
+                        self.check_if_new_segment(
+                            camera,
+                            frame_name,
+                            frame_time,
+                            current_tracked_objects,
+                        )
                 elif topic == DetectionTypeEnum.audio and len(audio_detections) > 0:
                     severity = None
 
@@ -549,13 +648,16 @@ class ReviewSegmentMaintainer(threading.Thread):
                     detections = set()
 
                     for audio in audio_detections:
-                        if audio in camera_config.review.alerts.labels:
+                        if (
+                            audio in camera_config.review.alerts.labels
+                            and camera_config.review.alerts.enabled
+                        ):
                             detections.add(audio)
                             severity = SeverityEnum.alert
                         elif (
                             camera_config.review.detections.labels is None
                             or audio in camera_config.review.detections.labels
-                        ):
+                        ) and camera_config.review.detections.enabled:
                             detections.add(audio)
 
                             if not severity:
@@ -572,28 +674,64 @@ class ReviewSegmentMaintainer(threading.Thread):
                             detections,
                         )
                 elif topic == DetectionTypeEnum.api:
-                    self.active_review_segments[camera] = PendingReviewSegment(
-                        camera,
-                        frame_time,
-                        SeverityEnum.alert,
-                        {manual_info["event_id"]: manual_info["label"]},
-                        {},
-                        [],
-                        set(),
-                    )
-
-                    if manual_info["state"] == ManualEventState.start:
-                        self.indefinite_events[camera][manual_info["event_id"]] = (
-                            manual_info["label"]
+                    if self.config.cameras[camera].review.alerts.enabled:
+                        self.active_review_segments[camera] = PendingReviewSegment(
+                            camera,
+                            frame_time,
+                            SeverityEnum.alert,
+                            {manual_info["event_id"]: manual_info["label"]},
+                            {},
+                            [],
+                            set(),
                         )
-                        # temporarily make it so this event can not end
-                        self.active_review_segments[camera].last_update = sys.maxsize
-                    elif manual_info["state"] == ManualEventState.complete:
-                        self.active_review_segments[camera].last_update = manual_info[
-                            "end_time"
-                        ]
 
-        self.config_subscriber.stop()
+                        if manual_info["state"] == ManualEventState.start:
+                            self.indefinite_events[camera][manual_info["event_id"]] = (
+                                manual_info["label"]
+                            )
+                            # temporarily make it so this event can not end
+                            self.active_review_segments[
+                                camera
+                            ].last_update = sys.maxsize
+                        elif manual_info["state"] == ManualEventState.complete:
+                            self.active_review_segments[
+                                camera
+                            ].last_update = manual_info["end_time"]
+                    else:
+                        logger.warning(
+                            f"Manual event API has been called for {camera}, but alerts are disabled. This manual event will not appear as an alert."
+                        )
+                elif topic == DetectionTypeEnum.lpr:
+                    if self.config.cameras[camera].review.detections.enabled:
+                        self.active_review_segments[camera] = PendingReviewSegment(
+                            camera,
+                            frame_time,
+                            SeverityEnum.detection,
+                            {manual_info["event_id"]: manual_info["label"]},
+                            {},
+                            [],
+                            set(),
+                        )
+
+                        if manual_info["state"] == ManualEventState.start:
+                            self.indefinite_events[camera][manual_info["event_id"]] = (
+                                manual_info["label"]
+                            )
+                            # temporarily make it so this event can not end
+                            self.active_review_segments[
+                                camera
+                            ].last_update = sys.maxsize
+                        elif manual_info["state"] == ManualEventState.complete:
+                            self.active_review_segments[
+                                camera
+                            ].last_update = manual_info["end_time"]
+                    else:
+                        logger.warning(
+                            f"Dedicated LPR camera API has been called for {camera}, but detections are disabled. LPR events will not appear as a detection."
+                        )
+
+        self.record_config_subscriber.stop()
+        self.review_config_subscriber.stop()
         self.requestor.stop()
         self.detection_subscriber.stop()
         logger.info("Exiting review maintainer...")
diff --git a/frigate/service_manager/service.py b/frigate/service_manager/service.py
index 62be6205b..89d766e9d 100644
--- a/frigate/service_manager/service.py
+++ b/frigate/service_manager/service.py
@@ -26,7 +26,7 @@ class Service(ABC):
             self.__dict__["name"] = name
 
         self.__manager = manager or ServiceManager.current()
-        self.__lock = asyncio.Lock(loop=self.__manager._event_loop)
+        self.__lock = asyncio.Lock(loop=self.__manager._event_loop)  # type: ignore[call-arg]
         self.__manager._register(self)
 
     @property
diff --git a/frigate/stats/emitter.py b/frigate/stats/emitter.py
index 8a09ff51b..42d4c16a8 100644
--- a/frigate/stats/emitter.py
+++ b/frigate/stats/emitter.py
@@ -6,11 +6,12 @@ import logging
 import threading
 import time
 from multiprocessing.synchronize import Event as MpEvent
-from typing import Optional
+from typing import Any, Optional
 
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.const import FREQUENCY_STATS_POINTS
+from frigate.stats.prometheus import update_metrics
 from frigate.stats.util import stats_snapshot
 from frigate.types import StatsTrackingTypes
 
@@ -32,12 +33,12 @@ class StatsEmitter(threading.Thread):
         self.stats_tracking = stats_tracking
         self.stop_event = stop_event
         self.hwaccel_errors: list[str] = []
-        self.stats_history: list[dict[str, any]] = []
+        self.stats_history: list[dict[str, Any]] = []
 
         # create communication for stats
         self.requestor = InterProcessRequestor()
 
-    def get_latest_stats(self) -> dict[str, any]:
+    def get_latest_stats(self) -> dict[str, Any]:
         """Get latest stats."""
         if len(self.stats_history) > 0:
             return self.stats_history[-1]
@@ -50,12 +51,12 @@ class StatsEmitter(threading.Thread):
 
     def get_stats_history(
         self, keys: Optional[list[str]] = None
-    ) -> list[dict[str, any]]:
+    ) -> list[dict[str, Any]]:
         """Get stats history."""
         if not keys:
             return self.stats_history
 
-        selected_stats: list[dict[str, any]] = []
+        selected_stats: list[dict[str, Any]] = []
 
         for s in self.stats_history:
             selected = {}
@@ -67,6 +68,16 @@ class StatsEmitter(threading.Thread):
 
         return selected_stats
 
+    def stats_init(config, camera_metrics, detectors, processes):
+        stats = {
+            "cameras": camera_metrics,
+            "detectors": detectors,
+            "processes": processes,
+        }
+        # Update Prometheus metrics with initial stats
+        update_metrics(stats)
+        return stats
+
     def run(self) -> None:
         time.sleep(10)
         for counter in itertools.cycle(
diff --git a/frigate/stats/prometheus.py b/frigate/stats/prometheus.py
new file mode 100644
index 000000000..bc545f21d
--- /dev/null
+++ b/frigate/stats/prometheus.py
@@ -0,0 +1,523 @@
+import logging
+import re
+
+from prometheus_client import CONTENT_TYPE_LATEST, generate_latest
+from prometheus_client.core import (
+    REGISTRY,
+    CounterMetricFamily,
+    GaugeMetricFamily,
+    InfoMetricFamily,
+)
+
+
+class CustomCollector(object):
+    def __init__(self, _url):
+        self.complete_stats = {}  # Store complete stats data
+        self.process_stats = {}  # Keep for CPU processing
+        self.previous_event_id = None
+        self.previous_event_start_time = None
+        self.all_events = {}
+
+    def add_metric(self, metric, label, stats, key, multiplier=1.0):  # Now a method
+        try:
+            string = str(stats[key])
+            value = float(re.findall(r"-?\d*\.?\d*", string)[0])
+            metric.add_metric(label, value * multiplier)
+        except (KeyError, TypeError, IndexError, ValueError):
+            pass
+
+    def add_metric_process(
+        self,
+        metric,
+        camera_stats,
+        camera_name,
+        pid_name,
+        process_name,
+        cpu_or_memory,
+        process_type,
+        cpu_usages,
+    ):
+        try:
+            pid = str(camera_stats[pid_name])
+            label_values = [pid, camera_name, process_name, process_type]
+            try:
+                # new frigate:0.13.0-beta3 stat 'cmdline'
+                label_values.append(cpu_usages[pid]["cmdline"])
+            except KeyError:
+                pass
+            metric.add_metric(label_values, cpu_usages[pid][cpu_or_memory])
+            # Don't modify the original data
+        except (KeyError, TypeError, IndexError):
+            pass
+
+    def collect(self):
+        # Work with a copy of the complete stats
+        stats = self.complete_stats.copy()
+
+        # Create a local copy of CPU usages to work with
+        cpu_usages = {}
+        try:
+            cpu_usages = stats.get("cpu_usages", {}).copy()
+        except (KeyError, AttributeError):
+            pass
+
+        # process stats for cameras, detectors and other
+        cpu_usages_metric = GaugeMetricFamily(
+            "frigate_cpu_usage_percent",
+            "Process CPU usage %",
+            labels=["pid", "name", "process", "type", "cmdline"],
+        )
+        mem_usages = GaugeMetricFamily(
+            "frigate_mem_usage_percent",
+            "Process memory usage %",
+            labels=["pid", "name", "process", "type", "cmdline"],
+        )
+
+        # camera stats
+        audio_dBFS = GaugeMetricFamily(
+            "frigate_audio_dBFS", "Audio dBFS for camera", labels=["camera_name"]
+        )
+        audio_rms = GaugeMetricFamily(
+            "frigate_audio_rms", "Audio RMS for camera", labels=["camera_name"]
+        )
+        camera_fps = GaugeMetricFamily(
+            "frigate_camera_fps",
+            "Frames per second being consumed from your camera.",
+            labels=["camera_name"],
+        )
+        detection_enabled = GaugeMetricFamily(
+            "frigate_detection_enabled",
+            "Detection enabled for camera",
+            labels=["camera_name"],
+        )
+        detection_fps = GaugeMetricFamily(
+            "frigate_detection_fps",
+            "Number of times detection is run per second.",
+            labels=["camera_name"],
+        )
+        process_fps = GaugeMetricFamily(
+            "frigate_process_fps",
+            "Frames per second being processed by frigate.",
+            labels=["camera_name"],
+        )
+        skipped_fps = GaugeMetricFamily(
+            "frigate_skipped_fps",
+            "Frames per second skip for processing by frigate.",
+            labels=["camera_name"],
+        )
+
+        # read camera stats assuming version < frigate:0.13.0-beta3
+        cameras = stats
+        try:
+            # try to read camera stats in case >= frigate:0.13.0-beta3
+            cameras = stats["cameras"]
+        except KeyError:
+            pass
+
+        for camera_name, camera_stats in cameras.items():
+            self.add_metric(audio_dBFS, [camera_name], camera_stats, "audio_dBFS")
+            self.add_metric(audio_rms, [camera_name], camera_stats, "audio_rms")
+            self.add_metric(camera_fps, [camera_name], camera_stats, "camera_fps")
+            self.add_metric(
+                detection_enabled, [camera_name], camera_stats, "detection_enabled"
+            )
+            self.add_metric(detection_fps, [camera_name], camera_stats, "detection_fps")
+            self.add_metric(process_fps, [camera_name], camera_stats, "process_fps")
+            self.add_metric(skipped_fps, [camera_name], camera_stats, "skipped_fps")
+
+            self.add_metric_process(
+                cpu_usages_metric,
+                camera_stats,
+                camera_name,
+                "ffmpeg_pid",
+                "ffmpeg",
+                "cpu",
+                "Camera",
+                cpu_usages,
+            )
+            self.add_metric_process(
+                cpu_usages_metric,
+                camera_stats,
+                camera_name,
+                "capture_pid",
+                "capture",
+                "cpu",
+                "Camera",
+                cpu_usages,
+            )
+            self.add_metric_process(
+                cpu_usages_metric,
+                camera_stats,
+                camera_name,
+                "pid",
+                "detect",
+                "cpu",
+                "Camera",
+                cpu_usages,
+            )
+
+            self.add_metric_process(
+                mem_usages,
+                camera_stats,
+                camera_name,
+                "ffmpeg_pid",
+                "ffmpeg",
+                "mem",
+                "Camera",
+                cpu_usages,
+            )
+            self.add_metric_process(
+                mem_usages,
+                camera_stats,
+                camera_name,
+                "capture_pid",
+                "capture",
+                "mem",
+                "Camera",
+                cpu_usages,
+            )
+            self.add_metric_process(
+                mem_usages,
+                camera_stats,
+                camera_name,
+                "pid",
+                "detect",
+                "mem",
+                "Camera",
+                cpu_usages,
+            )
+
+        yield audio_dBFS
+        yield audio_rms
+        yield camera_fps
+        yield detection_enabled
+        yield detection_fps
+        yield process_fps
+        yield skipped_fps
+
+        # bandwidth stats
+        bandwidth_usages = GaugeMetricFamily(
+            "frigate_bandwidth_usages_kBps",
+            "bandwidth usages kilobytes per second",
+            labels=["pid", "name", "process", "cmdline"],
+        )
+
+        try:
+            for b_pid, b_stats in stats["bandwidth_usages"].items():
+                label = [b_pid]  # pid label
+                try:
+                    n = stats["cpu_usages"][b_pid]["cmdline"]
+                    for p_name, p_stats in stats["processes"].items():
+                        if str(p_stats["pid"]) == b_pid:
+                            n = p_name
+                            break
+
+                    # new frigate:0.13.0-beta3 stat 'cmdline'
+                    label.append(n)  # name label
+                    label.append(stats["cpu_usages"][b_pid]["cmdline"])  # process label
+                    label.append(stats["cpu_usages"][b_pid]["cmdline"])  # cmdline label
+                    self.add_metric(bandwidth_usages, label, b_stats, "bandwidth")
+                except KeyError:
+                    pass
+        except KeyError:
+            pass
+
+        yield bandwidth_usages
+
+        # detector stats
+        try:
+            yield GaugeMetricFamily(
+                "frigate_detection_total_fps",
+                "Sum of detection_fps across all cameras and detectors.",
+                value=stats["detection_fps"],
+            )
+        except KeyError:
+            pass
+
+        detector_inference_speed = GaugeMetricFamily(
+            "frigate_detector_inference_speed_seconds",
+            "Time spent running object detection in seconds.",
+            labels=["name"],
+        )
+
+        detector_detection_start = GaugeMetricFamily(
+            "frigate_detection_start",
+            "Detector start time (unix timestamp)",
+            labels=["name"],
+        )
+
+        try:
+            for detector_name, detector_stats in stats["detectors"].items():
+                self.add_metric(
+                    detector_inference_speed,
+                    [detector_name],
+                    detector_stats,
+                    "inference_speed",
+                    0.001,
+                )  # ms to seconds
+                self.add_metric(
+                    detector_detection_start,
+                    [detector_name],
+                    detector_stats,
+                    "detection_start",
+                )
+                self.add_metric_process(
+                    cpu_usages_metric,
+                    stats["detectors"],
+                    detector_name,
+                    "pid",
+                    "detect",
+                    "cpu",
+                    "Detector",
+                    cpu_usages,
+                )
+                self.add_metric_process(
+                    mem_usages,
+                    stats["detectors"],
+                    detector_name,
+                    "pid",
+                    "detect",
+                    "mem",
+                    "Detector",
+                    cpu_usages,
+                )
+        except KeyError:
+            pass
+
+        yield detector_inference_speed
+        yield detector_detection_start
+
+        # detector process stats
+        try:
+            for detector_name, detector_stats in stats["detectors"].items():
+                p_pid = str(detector_stats["pid"])
+                label = [p_pid]  # pid label
+                try:
+                    # new frigate:0.13.0-beta3 stat 'cmdline'
+                    label.append(detector_name)  # name label
+                    label.append(detector_name)  # process label
+                    label.append("detectors")  # type label
+                    label.append(cpu_usages[p_pid]["cmdline"])  # cmdline label
+                    self.add_metric(cpu_usages_metric, label, cpu_usages[p_pid], "cpu")
+                    self.add_metric(mem_usages, label, cpu_usages[p_pid], "mem")
+                    # Don't modify the original data
+                except KeyError:
+                    pass
+
+        except KeyError:
+            pass
+
+        # other named process stats
+        try:
+            for process_name, process_stats in stats["processes"].items():
+                p_pid = str(process_stats["pid"])
+                label = [p_pid]  # pid label
+                try:
+                    # new frigate:0.13.0-beta3 stat 'cmdline'
+                    label.append(process_name)  # name label
+                    label.append(process_name)  # process label
+                    label.append(process_name)  # type label
+                    label.append(cpu_usages[p_pid]["cmdline"])  # cmdline label
+                    self.add_metric(cpu_usages_metric, label, cpu_usages[p_pid], "cpu")
+                    self.add_metric(mem_usages, label, cpu_usages[p_pid], "mem")
+                    # Don't modify the original data
+                except KeyError:
+                    pass
+
+        except KeyError:
+            pass
+
+        # remaining process stats
+        try:
+            for process_id, pid_stats in cpu_usages.items():
+                label = [process_id]  # pid label
+                try:
+                    # new frigate:0.13.0-beta3 stat 'cmdline'
+                    label.append(pid_stats["cmdline"])  # name label
+                    label.append(pid_stats["cmdline"])  # process label
+                    label.append("Other")  # type label
+                    label.append(pid_stats["cmdline"])  # cmdline label
+                except KeyError:
+                    pass
+                self.add_metric(cpu_usages_metric, label, pid_stats, "cpu")
+                self.add_metric(mem_usages, label, pid_stats, "mem")
+        except KeyError:
+            pass
+
+        yield cpu_usages_metric
+        yield mem_usages
+
+        # gpu stats
+        gpu_usages = GaugeMetricFamily(
+            "frigate_gpu_usage_percent", "GPU utilisation %", labels=["gpu_name"]
+        )
+        gpu_mem_usages = GaugeMetricFamily(
+            "frigate_gpu_mem_usage_percent", "GPU memory usage %", labels=["gpu_name"]
+        )
+
+        try:
+            for gpu_name, gpu_stats in stats["gpu_usages"].items():
+                self.add_metric(gpu_usages, [gpu_name], gpu_stats, "gpu")
+                self.add_metric(gpu_mem_usages, [gpu_name], gpu_stats, "mem")
+        except KeyError:
+            pass
+
+        yield gpu_usages
+        yield gpu_mem_usages
+
+        # service stats
+        uptime_seconds = GaugeMetricFamily(
+            "frigate_service_uptime_seconds", "Uptime seconds"
+        )
+        last_updated_timestamp = GaugeMetricFamily(
+            "frigate_service_last_updated_timestamp",
+            "Stats recorded time (unix timestamp)",
+        )
+
+        try:
+            service_stats = stats["service"]
+            self.add_metric(uptime_seconds, [""], service_stats, "uptime")
+            self.add_metric(last_updated_timestamp, [""], service_stats, "last_updated")
+
+            info = {
+                "latest_version": stats["service"]["latest_version"],
+                "version": stats["service"]["version"],
+            }
+            yield InfoMetricFamily(
+                "frigate_service", "Frigate version info", value=info
+            )
+
+        except KeyError:
+            pass
+
+        yield uptime_seconds
+        yield last_updated_timestamp
+
+        temperatures = GaugeMetricFamily(
+            "frigate_device_temperature", "Device Temperature", labels=["device"]
+        )
+        try:
+            for device_name in stats["service"]["temperatures"]:
+                self.add_metric(
+                    temperatures,
+                    [device_name],
+                    stats["service"]["temperatures"],
+                    device_name,
+                )
+        except KeyError:
+            pass
+
+        yield temperatures
+
+        storage_free = GaugeMetricFamily(
+            "frigate_storage_free_bytes", "Storage free bytes", labels=["storage"]
+        )
+        storage_mount_type = InfoMetricFamily(
+            "frigate_storage_mount_type",
+            "Storage mount type",
+            labels=["mount_type", "storage"],
+        )
+        storage_total = GaugeMetricFamily(
+            "frigate_storage_total_bytes", "Storage total bytes", labels=["storage"]
+        )
+        storage_used = GaugeMetricFamily(
+            "frigate_storage_used_bytes", "Storage used bytes", labels=["storage"]
+        )
+
+        try:
+            for storage_path, storage_stats in stats["service"]["storage"].items():
+                self.add_metric(
+                    storage_free, [storage_path], storage_stats, "free", 1e6
+                )  # MB to bytes
+                self.add_metric(
+                    storage_total, [storage_path], storage_stats, "total", 1e6
+                )  # MB to bytes
+                self.add_metric(
+                    storage_used, [storage_path], storage_stats, "used", 1e6
+                )  # MB to bytes
+                storage_mount_type.add_metric(
+                    storage_path,
+                    {
+                        "mount_type": storage_stats["mount_type"],
+                        "storage": storage_path,
+                    },
+                )
+        except KeyError:
+            pass
+
+        yield storage_free
+        yield storage_mount_type
+        yield storage_total
+        yield storage_used
+
+        # count events
+        events = []
+
+        if len(events) > 0:
+            # events[0] is newest event, last element is oldest, don't need to sort
+
+            if not self.previous_event_id:
+                # ignore all previous events on startup, prometheus might have already counted them
+                self.previous_event_id = events[0]["id"]
+                self.previous_event_start_time = int(events[0]["start_time"])
+
+            for event in events:
+                # break if event already counted
+                if event["id"] == self.previous_event_id:
+                    break
+
+                # break if event starts before previous event
+                if event["start_time"] < self.previous_event_start_time:
+                    break
+
+                # store counted events in a dict
+                try:
+                    cam = self.all_events[event["camera"]]
+                    try:
+                        cam[event["label"]] += 1
+                    except KeyError:
+                        # create label dict if not exists
+                        cam.update({event["label"]: 1})
+                except KeyError:
+                    # create camera and label dict if not exists
+                    self.all_events.update({event["camera"]: {event["label"]: 1}})
+
+            # don't recount events next time
+            self.previous_event_id = events[0]["id"]
+            self.previous_event_start_time = int(events[0]["start_time"])
+
+        camera_events = CounterMetricFamily(
+            "frigate_camera_events",
+            "Count of camera events since exporter started",
+            labels=["camera", "label"],
+        )
+
+        for camera, cam_dict in self.all_events.items():
+            for label, label_value in cam_dict.items():
+                camera_events.add_metric([camera, label], label_value)
+
+        yield camera_events
+
+
+collector = CustomCollector(None)
+REGISTRY.register(collector)
+
+
+def update_metrics(stats):
+    """Updates the Prometheus metrics with the given stats data."""
+    try:
+        # Store the complete stats for later use by collect()
+        collector.complete_stats = stats.copy()
+
+        # For backwards compatibility
+        collector.process_stats = stats.copy()
+
+        # No need to call collect() here - it will be called by get_metrics()
+    except Exception as e:
+        logging.error(f"Error updating metrics: {e}")
+
+
+def get_metrics():
+    """Returns the Prometheus metrics in text format."""
+    content = generate_latest(REGISTRY)  # Use generate_latest
+    return content, CONTENT_TYPE_LATEST
diff --git a/frigate/stats/util.py b/frigate/stats/util.py
index d8e93c6ca..e098bc541 100644
--- a/frigate/stats/util.py
+++ b/frigate/stats/util.py
@@ -14,7 +14,8 @@ from requests.exceptions import RequestException
 from frigate.camera import CameraMetrics
 from frigate.config import FrigateConfig
 from frigate.const import CACHE_DIR, CLIPS_DIR, RECORD_DIR
-from frigate.object_detection import ObjectDetectProcess
+from frigate.data_processing.types import DataProcessorMetrics
+from frigate.object_detection.base import ObjectDetectProcess
 from frigate.types import StatsTrackingTypes
 from frigate.util.services import (
     get_amd_gpu_stats,
@@ -23,6 +24,8 @@ from frigate.util.services import (
     get_intel_gpu_stats,
     get_jetson_stats,
     get_nvidia_gpu_stats,
+    get_rockchip_gpu_stats,
+    get_rockchip_npu_stats,
     is_vaapi_amd_driver,
 )
 from frigate.version import VERSION
@@ -51,11 +54,13 @@ def get_latest_version(config: FrigateConfig) -> str:
 def stats_init(
     config: FrigateConfig,
     camera_metrics: dict[str, CameraMetrics],
+    embeddings_metrics: DataProcessorMetrics | None,
     detectors: dict[str, ObjectDetectProcess],
     processes: dict[str, int],
 ) -> StatsTrackingTypes:
     stats_tracking: StatsTrackingTypes = {
         "camera_metrics": camera_metrics,
+        "embeddings_metrics": embeddings_metrics,
         "detectors": detectors,
         "started": int(time.time()),
         "latest_frigate_version": get_latest_version(config),
@@ -106,6 +111,7 @@ def get_processing_stats(
         stats_tasks = [
             asyncio.create_task(set_gpu_stats(config, stats, hwaccel_errors)),
             asyncio.create_task(set_cpu_stats(stats)),
+            asyncio.create_task(set_npu_usages(config, stats)),
         ]
 
         if config.telemetry.stats.network_bandwidth:
@@ -195,7 +201,7 @@ async def set_gpu_stats(
                 continue
 
             # intel QSV GPU
-            intel_usage = get_intel_gpu_stats()
+            intel_usage = get_intel_gpu_stats(config.telemetry.stats.intel_gpu_device)
 
             if intel_usage is not None:
                 stats["intel-qsv"] = intel_usage or {"gpu": "", "mem": ""}
@@ -220,13 +226,20 @@ async def set_gpu_stats(
                     continue
 
                 # intel VAAPI GPU
-                intel_usage = get_intel_gpu_stats()
+                intel_usage = get_intel_gpu_stats(
+                    config.telemetry.stats.intel_gpu_device
+                )
 
                 if intel_usage is not None:
                     stats["intel-vaapi"] = intel_usage or {"gpu": "", "mem": ""}
                 else:
                     stats["intel-vaapi"] = {"gpu": "", "mem": ""}
                     hwaccel_errors.append(args)
+        elif "preset-rk" in args:
+            rga_usage = get_rockchip_gpu_stats()
+
+            if rga_usage:
+                stats["rockchip"] = rga_usage
         elif "v4l2m2m" in args or "rpi" in args:
             # RPi v4l2m2m is currently not able to get usage stats
             stats["rpi-v4l2m2m"] = {"gpu": "", "mem": ""}
@@ -235,6 +248,19 @@ async def set_gpu_stats(
         all_stats["gpu_usages"] = stats
 
 
+async def set_npu_usages(config: FrigateConfig, all_stats: dict[str, Any]) -> None:
+    stats: dict[str, dict] = {}
+
+    for detector in config.detectors.values():
+        if detector.type == "rknn":
+            # Rockchip NPU usage
+            rk_usage = get_rockchip_npu_stats()
+            stats["rockchip"] = rk_usage
+
+    if stats:
+        all_stats["npu_usages"] = stats
+
+
 def stats_snapshot(
     config: FrigateConfig, stats_tracking: StatsTrackingTypes, hwaccel_errors: list[str]
 ) -> dict[str, Any]:
@@ -279,6 +305,55 @@ def stats_snapshot(
         }
     stats["detection_fps"] = round(total_detection_fps, 2)
 
+    stats["embeddings"] = {}
+
+    # Get metrics if available
+    embeddings_metrics = stats_tracking.get("embeddings_metrics")
+
+    if embeddings_metrics:
+        # Add metrics based on what's enabled
+        if config.semantic_search.enabled:
+            stats["embeddings"].update(
+                {
+                    "image_embedding_speed": round(
+                        embeddings_metrics.image_embeddings_speed.value * 1000, 2
+                    ),
+                    "image_embedding": round(
+                        embeddings_metrics.image_embeddings_eps.value, 2
+                    ),
+                    "text_embedding_speed": round(
+                        embeddings_metrics.text_embeddings_speed.value * 1000, 2
+                    ),
+                    "text_embedding": round(
+                        embeddings_metrics.text_embeddings_eps.value, 2
+                    ),
+                }
+            )
+
+        if config.face_recognition.enabled:
+            stats["embeddings"]["face_recognition_speed"] = round(
+                embeddings_metrics.face_rec_speed.value * 1000, 2
+            )
+            stats["embeddings"]["face_recognition"] = round(
+                embeddings_metrics.face_rec_fps.value, 2
+            )
+
+        if config.lpr.enabled:
+            stats["embeddings"]["plate_recognition_speed"] = round(
+                embeddings_metrics.alpr_speed.value * 1000, 2
+            )
+            stats["embeddings"]["plate_recognition"] = round(
+                embeddings_metrics.alpr_pps.value, 2
+            )
+
+            if embeddings_metrics.yolov9_lpr_pps.value > 0.0:
+                stats["embeddings"]["yolov9_plate_detection_speed"] = round(
+                    embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
+                )
+                stats["embeddings"]["yolov9_plate_detection"] = round(
+                    embeddings_metrics.yolov9_lpr_pps.value, 2
+                )
+
     get_processing_stats(config, stats, hwaccel_errors)
 
     stats["service"] = {
diff --git a/frigate/test/http_api/base_http_test.py b/frigate/test/http_api/base_http_test.py
index c16ab9926..3c4a7ccdc 100644
--- a/frigate/test/http_api/base_http_test.py
+++ b/frigate/test/http_api/base_http_test.py
@@ -10,6 +10,7 @@ from pydantic import Json
 
 from frigate.api.fastapi_app import create_fastapi_app
 from frigate.config import FrigateConfig
+from frigate.const import BASE_DIR, CACHE_DIR
 from frigate.models import Event, Recordings, ReviewSegment
 from frigate.review.types import SeverityEnum
 from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
@@ -73,19 +74,19 @@ class BaseTestHttp(unittest.TestCase):
                         "total": 67.1,
                         "used": 16.6,
                     },
-                    "/media/frigate/clips": {
+                    os.path.join(BASE_DIR, "clips"): {
                         "free": 42429.9,
                         "mount_type": "ext4",
                         "total": 244529.7,
                         "used": 189607.0,
                     },
-                    "/media/frigate/recordings": {
+                    os.path.join(BASE_DIR, "recordings"): {
                         "free": 0.2,
                         "mount_type": "ext4",
                         "total": 8.0,
                         "used": 7.8,
                     },
-                    "/tmp/cache": {
+                    CACHE_DIR: {
                         "free": 976.8,
                         "mount_type": "tmpfs",
                         "total": 1000.0,
@@ -116,7 +117,6 @@ class BaseTestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
             stats,
             None,
         )
@@ -157,16 +157,14 @@ class BaseTestHttp(unittest.TestCase):
         start_time: float = datetime.datetime.now().timestamp(),
         end_time: float = datetime.datetime.now().timestamp() + 20,
         severity: SeverityEnum = SeverityEnum.alert,
-        has_been_reviewed: bool = False,
         data: Json = {},
-    ) -> Event:
+    ) -> ReviewSegment:
         """Inserts a review segment model with a given id."""
         return ReviewSegment.insert(
             id=id,
             camera="front_door",
             start_time=start_time,
             end_time=end_time,
-            has_been_reviewed=has_been_reviewed,
             severity=severity,
             thumb_path=False,
             data=data,
diff --git a/frigate/test/http_api/test_http_review.py b/frigate/test/http_api/test_http_review.py
index c8f2b1719..469e012b2 100644
--- a/frigate/test/http_api/test_http_review.py
+++ b/frigate/test/http_api/test_http_review.py
@@ -1,16 +1,29 @@
 from datetime import datetime, timedelta
 
 from fastapi.testclient import TestClient
+from peewee import DoesNotExist
 
-from frigate.models import Event, Recordings, ReviewSegment
+from frigate.api.auth import get_current_user
+from frigate.models import Event, Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
 from frigate.test.http_api.base_http_test import BaseTestHttp
 
 
 class TestHttpReview(BaseTestHttp):
     def setUp(self):
-        super().setUp([Event, Recordings, ReviewSegment])
+        super().setUp([Event, Recordings, ReviewSegment, UserReviewStatus])
         self.app = super().create_app()
+        self.user_id = "admin"
+
+        # Mock get_current_user for all tests
+        async def mock_get_current_user():
+            return {"username": self.user_id, "role": "admin"}
+
+        self.app.dependency_overrides[get_current_user] = mock_get_current_user
+
+    def tearDown(self):
+        self.app.dependency_overrides.clear()
+        super().tearDown()
 
     def _get_reviews(self, ids: list[str]):
         return list(
@@ -24,12 +37,20 @@ class TestHttpReview(BaseTestHttp):
             Recordings.select(Recordings.id).where(Recordings.id.in_(ids)).execute()
         )
 
+    def _insert_user_review_status(self, review_id: str, reviewed: bool = True):
+        UserReviewStatus.create(
+            user_id=self.user_id,
+            review_segment=ReviewSegment.get(ReviewSegment.id == review_id),
+            has_been_reviewed=reviewed,
+        )
+
     ####################################################################################################################
     ###################################  GET /review Endpoint   ########################################################
     ####################################################################################################################
 
-    # Does not return any data point since the end time (before parameter) is not passed and the review segment end_time is 2 seconds from now
-    def test_get_review_no_filters_no_matches(self):
+    def test_get_review_that_overlaps_default_period(self):
+        """Test that a review item that starts during the default period
+        but ends after is included in the results."""
         now = datetime.now().timestamp()
 
         with TestClient(self.app) as client:
@@ -37,24 +58,29 @@ class TestHttpReview(BaseTestHttp):
             response = client.get("/review")
             assert response.status_code == 200
             response_json = response.json()
-            assert len(response_json) == 0
+            assert len(response_json) == 1
 
     def test_get_review_no_filters(self):
         now = datetime.now().timestamp()
 
         with TestClient(self.app) as client:
-            super().insert_mock_review_segment("123456.random", now - 2, now - 1)
+            id = "123456.random"
+            super().insert_mock_review_segment(id, now - 2, now - 1)
             response = client.get("/review")
             assert response.status_code == 200
             response_json = response.json()
             assert len(response_json) == 1
+            assert response_json[0]["id"] == id
+            assert response_json[0]["has_been_reviewed"] == False
 
     def test_get_review_with_time_filter_no_matches(self):
+        """Test that review items outside the range are not returned."""
         now = datetime.now().timestamp()
 
         with TestClient(self.app) as client:
             id = "123456.random"
-            super().insert_mock_review_segment(id, now, now + 2)
+            super().insert_mock_review_segment(id, now - 2, now - 1)
+            super().insert_mock_review_segment(f"{id}2", now + 4, now + 5)
             params = {
                 "after": now,
                 "before": now + 3,
@@ -257,82 +283,6 @@ class TestHttpReview(BaseTestHttp):
             }
             self.assertEqual(response_json, expected_response)
 
-    def test_get_review_summary_multiple_days_edge_cases(self):
-        now = datetime.now()
-        five_days_ago = datetime.today() - timedelta(days=5)
-        twenty_days_ago = datetime.today() - timedelta(days=20)
-        one_month_ago = datetime.today() - timedelta(days=30)
-        one_month_ago_ts = one_month_ago.timestamp()
-
-        with TestClient(self.app) as client:
-            super().insert_mock_review_segment("123456.random", now.timestamp())
-            super().insert_mock_review_segment(
-                "123457.random", five_days_ago.timestamp()
-            )
-            super().insert_mock_review_segment(
-                "123458.random",
-                twenty_days_ago.timestamp(),
-                None,
-                SeverityEnum.detection,
-            )
-            # One month ago plus 5 seconds fits within the condition (review.start_time > month_ago). Assuming that the endpoint does not take more than 5 seconds to be invoked
-            super().insert_mock_review_segment(
-                "123459.random",
-                one_month_ago_ts + 5,
-                None,
-                SeverityEnum.detection,
-            )
-            # This won't appear in the output since it's not within last month start_time clause (review.start_time > month_ago)
-            super().insert_mock_review_segment("123450.random", one_month_ago_ts)
-            response = client.get("/review/summary")
-            assert response.status_code == 200
-            response_json = response.json()
-            # e.g. '2024-11-24'
-            today_formatted = now.strftime("%Y-%m-%d")
-            # e.g. '2024-11-19'
-            five_days_ago_formatted = five_days_ago.strftime("%Y-%m-%d")
-            # e.g. '2024-11-04'
-            twenty_days_ago_formatted = twenty_days_ago.strftime("%Y-%m-%d")
-            # e.g. '2024-10-24'
-            one_month_ago_formatted = one_month_ago.strftime("%Y-%m-%d")
-            expected_response = {
-                "last24Hours": {
-                    "reviewed_alert": 0,
-                    "reviewed_detection": 0,
-                    "total_alert": 1,
-                    "total_detection": 0,
-                },
-                today_formatted: {
-                    "day": today_formatted,
-                    "reviewed_alert": 0,
-                    "reviewed_detection": 0,
-                    "total_alert": 1,
-                    "total_detection": 0,
-                },
-                five_days_ago_formatted: {
-                    "day": five_days_ago_formatted,
-                    "reviewed_alert": 0,
-                    "reviewed_detection": 0,
-                    "total_alert": 1,
-                    "total_detection": 0,
-                },
-                twenty_days_ago_formatted: {
-                    "day": twenty_days_ago_formatted,
-                    "reviewed_alert": 0,
-                    "reviewed_detection": 0,
-                    "total_alert": 0,
-                    "total_detection": 1,
-                },
-                one_month_ago_formatted: {
-                    "day": one_month_ago_formatted,
-                    "reviewed_alert": 0,
-                    "reviewed_detection": 0,
-                    "total_alert": 0,
-                    "total_detection": 1,
-                },
-            }
-            self.assertEqual(response_json, expected_response)
-
     def test_get_review_summary_multiple_in_same_day(self):
         now = datetime.now()
         five_days_ago = datetime.today() - timedelta(days=5)
@@ -391,37 +341,27 @@ class TestHttpReview(BaseTestHttp):
         with TestClient(self.app) as client:
             five_days_ago_ts = five_days_ago.timestamp()
             for i in range(10):
+                id = f"123456_{i}.random_alert_not_reviewed"
                 super().insert_mock_review_segment(
-                    f"123456_{i}.random_alert_not_reviewed",
-                    five_days_ago_ts,
-                    five_days_ago_ts,
-                    SeverityEnum.alert,
-                    False,
+                    id, five_days_ago_ts, five_days_ago_ts, SeverityEnum.alert
                 )
             for i in range(10):
+                id = f"123456_{i}.random_alert_reviewed"
                 super().insert_mock_review_segment(
-                    f"123456_{i}.random_alert_reviewed",
-                    five_days_ago_ts,
-                    five_days_ago_ts,
-                    SeverityEnum.alert,
-                    True,
+                    id, five_days_ago_ts, five_days_ago_ts, SeverityEnum.alert
                 )
+                self._insert_user_review_status(id, reviewed=True)
             for i in range(10):
+                id = f"123456_{i}.random_detection_not_reviewed"
                 super().insert_mock_review_segment(
-                    f"123456_{i}.random_detection_not_reviewed",
-                    five_days_ago_ts,
-                    five_days_ago_ts,
-                    SeverityEnum.detection,
-                    False,
+                    id, five_days_ago_ts, five_days_ago_ts, SeverityEnum.detection
                 )
             for i in range(5):
+                id = f"123456_{i}.random_detection_reviewed"
                 super().insert_mock_review_segment(
-                    f"123456_{i}.random_detection_reviewed",
-                    five_days_ago_ts,
-                    five_days_ago_ts,
-                    SeverityEnum.detection,
-                    True,
+                    id, five_days_ago_ts, five_days_ago_ts, SeverityEnum.detection
                 )
+                self._insert_user_review_status(id, reviewed=True)
             response = client.get("/review/summary")
             assert response.status_code == 200
             response_json = response.json()
@@ -447,6 +387,7 @@ class TestHttpReview(BaseTestHttp):
     ####################################################################################################################
     ###################################  POST reviews/viewed Endpoint   ################################################
     ####################################################################################################################
+
     def test_post_reviews_viewed_no_body(self):
         with TestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
@@ -473,12 +414,11 @@ class TestHttpReview(BaseTestHttp):
             assert response["success"] == True
             assert response["message"] == "Reviewed multiple items"
             # Verify that in DB the review segment was not changed
-            review_segment_in_db = (
-                ReviewSegment.select(ReviewSegment.has_been_reviewed)
-                .where(ReviewSegment.id == id)
-                .get()
-            )
-            assert review_segment_in_db.has_been_reviewed == False
+            with self.assertRaises(DoesNotExist):
+                UserReviewStatus.get(
+                    UserReviewStatus.user_id == self.user_id,
+                    UserReviewStatus.review_segment == "1",
+                )
 
     def test_post_reviews_viewed(self):
         with TestClient(self.app) as client:
@@ -487,16 +427,15 @@ class TestHttpReview(BaseTestHttp):
             body = {"ids": [id]}
             response = client.post("/reviews/viewed", json=body)
             assert response.status_code == 200
-            response = response.json()
-            assert response["success"] == True
-            assert response["message"] == "Reviewed multiple items"
-            # Verify that in DB the review segment was changed
-            review_segment_in_db = (
-                ReviewSegment.select(ReviewSegment.has_been_reviewed)
-                .where(ReviewSegment.id == id)
-                .get()
+            response_json = response.json()
+            assert response_json["success"] == True
+            assert response_json["message"] == "Reviewed multiple items"
+            # Verify UserReviewStatus was created
+            user_review = UserReviewStatus.get(
+                UserReviewStatus.user_id == self.user_id,
+                UserReviewStatus.review_segment == id,
             )
-            assert review_segment_in_db.has_been_reviewed == True
+            assert user_review.has_been_reviewed == True
 
     ####################################################################################################################
     ###################################  POST reviews/delete Endpoint   ################################################
@@ -504,7 +443,7 @@ class TestHttpReview(BaseTestHttp):
     def test_post_reviews_delete_no_body(self):
         with TestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
-            response = client.post("/reviews/delete")
+            response = client.post("/reviews/delete", headers={"remote-role": "admin"})
             # Missing ids
             assert response.status_code == 422
 
@@ -512,7 +451,9 @@ class TestHttpReview(BaseTestHttp):
         with TestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             body = {"ids": [""]}
-            response = client.post("/reviews/delete", json=body)
+            response = client.post(
+                "/reviews/delete", json=body, headers={"remote-role": "admin"}
+            )
             # Missing ids
             assert response.status_code == 422
 
@@ -521,7 +462,9 @@ class TestHttpReview(BaseTestHttp):
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": ["1"]}
-            response = client.post("/reviews/delete", json=body)
+            response = client.post(
+                "/reviews/delete", json=body, headers={"remote-role": "admin"}
+            )
             assert response.status_code == 200
             response_json = response.json()
             assert response_json["success"] == True
@@ -536,7 +479,9 @@ class TestHttpReview(BaseTestHttp):
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": [id]}
-            response = client.post("/reviews/delete", json=body)
+            response = client.post(
+                "/reviews/delete", json=body, headers={"remote-role": "admin"}
+            )
             assert response.status_code == 200
             response_json = response.json()
             assert response_json["success"] == True
@@ -558,7 +503,9 @@ class TestHttpReview(BaseTestHttp):
             assert len(recordings_ids_in_db_before) == 2
 
             body = {"ids": ids}
-            response = client.post("/reviews/delete", json=body)
+            response = client.post(
+                "/reviews/delete", json=body, headers={"remote-role": "admin"}
+            )
             assert response.status_code == 200
             response_json = response.json()
             assert response_json["success"] == True
@@ -664,8 +611,7 @@ class TestHttpReview(BaseTestHttp):
                     "camera": "front_door",
                     "start_time": now + 1,
                     "end_time": now + 2,
-                    "has_been_reviewed": False,
-                    "severity": SeverityEnum.alert,
+                    "severity": "alert",
                     "thumb_path": "False",
                     "data": {"detections": {"event_id": event_id}},
                 },
@@ -700,8 +646,7 @@ class TestHttpReview(BaseTestHttp):
                     "camera": "front_door",
                     "start_time": now + 1,
                     "end_time": now + 2,
-                    "has_been_reviewed": False,
-                    "severity": SeverityEnum.alert,
+                    "severity": "alert",
                     "thumb_path": "False",
                     "data": {},
                 },
@@ -711,6 +656,7 @@ class TestHttpReview(BaseTestHttp):
     ####################################################################################################################
     ###################################  DELETE /review/{review_id}/viewed Endpoint   ##################################
     ####################################################################################################################
+
     def test_delete_review_viewed_review_not_found(self):
         with TestClient(self.app) as client:
             review_id = "123456.random"
@@ -727,11 +673,10 @@ class TestHttpReview(BaseTestHttp):
 
         with TestClient(self.app) as client:
             review_id = "123456.review.random"
-            super().insert_mock_review_segment(
-                review_id, now + 1, now + 2, has_been_reviewed=True
-            )
-            review_before = ReviewSegment.get(ReviewSegment.id == review_id)
-            assert review_before.has_been_reviewed == True
+            super().insert_mock_review_segment(review_id, now + 1, now + 2)
+            self._insert_user_review_status(review_id, reviewed=True)
+            # Verify it’s reviewed before
+            response = client.get(f"/review/{review_id}")
 
             response = client.delete(f"/review/{review_id}/viewed")
             assert response.status_code == 200
@@ -741,5 +686,9 @@ class TestHttpReview(BaseTestHttp):
                 response_json,
             )
 
-            review_after = ReviewSegment.get(ReviewSegment.id == review_id)
-            assert review_after.has_been_reviewed == False
+            # Verify it’s unreviewed after
+            with self.assertRaises(DoesNotExist):
+                UserReviewStatus.get(
+                    UserReviewStatus.user_id == self.user_id,
+                    UserReviewStatus.review_segment == review_id,
+                )
diff --git a/frigate/test/test_config.py b/frigate/test/test_config.py
index e6cb1274e..4bafe7369 100644
--- a/frigate/test/test_config.py
+++ b/frigate/test/test_config.py
@@ -39,7 +39,7 @@ class TestConfig(unittest.TestCase):
             "description": "Fine tuned model",
             "trainDate": "2023-04-28T23:22:01.262Z",
             "type": "ssd",
-            "supportedDetectors": ["edgetpu"],
+            "supportedDetectors": ["cpu", "edgetpu"],
             "width": 320,
             "height": 320,
             "inputShape": "nhwc",
@@ -854,9 +854,9 @@ class TestConfig(unittest.TestCase):
         assert frigate_config.model.merged_labelmap[0] == "person"
 
     def test_plus_labelmap(self):
-        with open("/config/model_cache/test", "w") as f:
+        with open(os.path.join(MODEL_CACHE_DIR, "test"), "w") as f:
             json.dump(self.plus_model_info, f)
-        with open("/config/model_cache/test.json", "w") as f:
+        with open(os.path.join(MODEL_CACHE_DIR, "test.json"), "w") as f:
             json.dump(self.plus_model_info, f)
 
         config = {
@@ -1491,7 +1491,9 @@ class TestConfig(unittest.TestCase):
                         "fps": 5,
                     },
                     "onvif": {
-                        "autotracking": {"movement_weights": "0, 1, 1.23, 2.34, 0.50"}
+                        "autotracking": {
+                            "movement_weights": "0, 1, 1.23, 2.34, 0.50, 1"
+                        }
                     },
                 }
             },
@@ -1504,6 +1506,7 @@ class TestConfig(unittest.TestCase):
             "1.23",
             "2.34",
             "0.5",
+            "1.0",
         ]
 
     def test_fails_invalid_movement_weights(self):
diff --git a/frigate/test/test_gpu_stats.py b/frigate/test/test_gpu_stats.py
index 7c1bc4618..fd0df94c4 100644
--- a/frigate/test/test_gpu_stats.py
+++ b/frigate/test/test_gpu_stats.py
@@ -38,7 +38,7 @@ class TestGpuStats(unittest.TestCase):
         process.returncode = 124
         process.stdout = self.intel_results
         sp.return_value = process
-        intel_stats = get_intel_gpu_stats()
+        intel_stats = get_intel_gpu_stats(False)
         print(f"the intel stats are {intel_stats}")
         assert intel_stats == {
             "gpu": "1.13%",
diff --git a/frigate/test/test_http.py b/frigate/test/test_http.py
index 8c89e0433..4d949c543 100644
--- a/frigate/test/test_http.py
+++ b/frigate/test/test_http.py
@@ -2,6 +2,7 @@ import datetime
 import logging
 import os
 import unittest
+from unittest.mock import Mock
 
 from fastapi.testclient import TestClient
 from peewee_migrate import Router
@@ -10,7 +11,9 @@ from playhouse.sqlite_ext import SqliteExtDatabase
 from playhouse.sqliteq import SqliteQueueDatabase
 
 from frigate.api.fastapi_app import create_fastapi_app
+from frigate.comms.event_metadata_updater import EventMetadataPublisher
 from frigate.config import FrigateConfig
+from frigate.const import BASE_DIR, CACHE_DIR
 from frigate.models import Event, Recordings, Timeline
 from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
 
@@ -74,19 +77,19 @@ class TestHttp(unittest.TestCase):
                         "total": 67.1,
                         "used": 16.6,
                     },
-                    "/media/frigate/clips": {
+                    os.path.join(BASE_DIR, "clips"): {
                         "free": 42429.9,
                         "mount_type": "ext4",
                         "total": 244529.7,
                         "used": 189607.0,
                     },
-                    "/media/frigate/recordings": {
+                    os.path.join(BASE_DIR, "recordings"): {
                         "free": 0.2,
                         "mount_type": "ext4",
                         "total": 8.0,
                         "used": 7.8,
                     },
-                    "/tmp/cache": {
+                    CACHE_DIR: {
                         "free": 976.8,
                         "mount_type": "tmpfs",
                         "total": 1000.0,
@@ -119,7 +122,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         id = "123456.random"
 
@@ -141,7 +143,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         id = "123456.random"
         bad_id = "654321.other"
@@ -162,7 +163,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         id = "123456.random"
 
@@ -171,7 +171,7 @@ class TestHttp(unittest.TestCase):
             event = client.get(f"/events/{id}").json()
             assert event
             assert event["id"] == id
-            client.delete(f"/events/{id}")
+            client.delete(f"/events/{id}", headers={"remote-role": "admin"})
             event = client.get(f"/events/{id}").json()
             assert event == "Event not found"
 
@@ -185,18 +185,17 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         id = "123456.random"
 
         with TestClient(app) as client:
             _insert_mock_event(id)
-            client.post(f"/events/{id}/retain")
+            client.post(f"/events/{id}/retain", headers={"remote-role": "admin"})
             event = client.get(f"/events/{id}").json()
             assert event
             assert event["id"] == id
             assert event["retain_indefinitely"] is True
-            client.delete(f"/events/{id}/retain")
+            client.delete(f"/events/{id}/retain", headers={"remote-role": "admin"})
             event = client.get(f"/events/{id}").json()
             assert event
             assert event["id"] == id
@@ -212,7 +211,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         morning_id = "123456.random"
         evening_id = "654321.random"
@@ -242,6 +240,7 @@ class TestHttp(unittest.TestCase):
             assert len(events) == 1
 
     def test_set_delete_sub_label(self):
+        mock_event_updater = Mock(spec=EventMetadataPublisher)
         app = create_fastapi_app(
             FrigateConfig(**self.minimal_config),
             self.db,
@@ -250,17 +249,24 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
-            None,
+            mock_event_updater,
         )
         id = "123456.random"
         sub_label = "sub"
 
+        def update_event(topic, payload):
+            event = Event.get(id=id)
+            event.sub_label = payload[1]
+            event.save()
+
+        mock_event_updater.publish.side_effect = update_event
+
         with TestClient(app) as client:
             _insert_mock_event(id)
             new_sub_label_response = client.post(
                 f"/events/{id}/sub_label",
                 json={"subLabel": sub_label},
+                headers={"remote-role": "admin"},
             )
             assert new_sub_label_response.status_code == 200
             event = client.get(f"/events/{id}").json()
@@ -270,14 +276,16 @@ class TestHttp(unittest.TestCase):
             empty_sub_label_response = client.post(
                 f"/events/{id}/sub_label",
                 json={"subLabel": ""},
+                headers={"remote-role": "admin"},
             )
             assert empty_sub_label_response.status_code == 200
             event = client.get(f"/events/{id}").json()
             assert event
             assert event["id"] == id
-            assert event["sub_label"] == ""
+            assert event["sub_label"] == None
 
     def test_sub_label_list(self):
+        mock_event_updater = Mock(spec=EventMetadataPublisher)
         app = create_fastapi_app(
             FrigateConfig(**self.minimal_config),
             self.db,
@@ -286,17 +294,24 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
-            None,
+            mock_event_updater,
         )
         id = "123456.random"
         sub_label = "sub"
 
+        def update_event(topic, payload):
+            event = Event.get(id=id)
+            event.sub_label = payload[1]
+            event.save()
+
+        mock_event_updater.publish.side_effect = update_event
+
         with TestClient(app) as client:
             _insert_mock_event(id)
             client.post(
                 f"/events/{id}/sub_label",
                 json={"subLabel": sub_label},
+                headers={"remote-role": "admin"},
             )
             sub_labels = client.get("/sub_labels").json()
             assert sub_labels
@@ -312,7 +327,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
 
         with TestClient(app) as client:
@@ -330,7 +344,6 @@ class TestHttp(unittest.TestCase):
             None,
             None,
             None,
-            None,
         )
         id = "123456.random"
 
diff --git a/frigate/test/test_object_detector.py b/frigate/test/test_object_detector.py
index 40a9fac14..dc15b2351 100644
--- a/frigate/test/test_object_detector.py
+++ b/frigate/test/test_object_detector.py
@@ -5,7 +5,7 @@ import numpy as np
 from pydantic import parse_obj_as
 
 import frigate.detectors as detectors
-import frigate.object_detection
+import frigate.object_detection.base
 from frigate.config import DetectorConfig, ModelConfig
 from frigate.detectors import DetectorTypeEnum
 from frigate.detectors.detector_config import InputTensorEnum
@@ -23,7 +23,7 @@ class TestLocalObjectDetector(unittest.TestCase):
                         DetectorConfig, ({"type": det_type, "model": {}})
                     )
                     test_cfg.model.path = "/test/modelpath"
-                    test_obj = frigate.object_detection.LocalObjectDetector(
+                    test_obj = frigate.object_detection.base.LocalObjectDetector(
                         detector_config=test_cfg
                     )
 
@@ -43,7 +43,7 @@ class TestLocalObjectDetector(unittest.TestCase):
 
         TEST_DATA = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
         TEST_DETECT_RESULT = np.ndarray([1, 2, 4, 8, 16, 32])
-        test_obj_detect = frigate.object_detection.LocalObjectDetector(
+        test_obj_detect = frigate.object_detection.base.LocalObjectDetector(
             detector_config=parse_obj_as(DetectorConfig, {"type": "cpu", "model": {}})
         )
 
@@ -70,7 +70,7 @@ class TestLocalObjectDetector(unittest.TestCase):
         test_cfg = parse_obj_as(DetectorConfig, {"type": "cpu", "model": {}})
         test_cfg.model.input_tensor = InputTensorEnum.nchw
 
-        test_obj_detect = frigate.object_detection.LocalObjectDetector(
+        test_obj_detect = frigate.object_detection.base.LocalObjectDetector(
             detector_config=test_cfg
         )
 
@@ -91,7 +91,7 @@ class TestLocalObjectDetector(unittest.TestCase):
         "frigate.detectors.api_types",
         {det_type: Mock() for det_type in DetectorTypeEnum},
     )
-    @patch("frigate.object_detection.load_labels")
+    @patch("frigate.object_detection.base.load_labels")
     def test_detect_given_tensor_input_should_return_lfiltered_detections(
         self, mock_load_labels
     ):
@@ -118,7 +118,7 @@ class TestLocalObjectDetector(unittest.TestCase):
 
         test_cfg = parse_obj_as(DetectorConfig, {"type": "cpu", "model": {}})
         test_cfg.model = ModelConfig()
-        test_obj_detect = frigate.object_detection.LocalObjectDetector(
+        test_obj_detect = frigate.object_detection.base.LocalObjectDetector(
             detector_config=test_cfg,
             labels=TEST_LABEL_FILE,
         )
diff --git a/frigate/timeline.py b/frigate/timeline.py
index 8055ccddc..4e3c8e293 100644
--- a/frigate/timeline.py
+++ b/frigate/timeline.py
@@ -5,6 +5,7 @@ import queue
 import threading
 from multiprocessing import Queue
 from multiprocessing.synchronize import Event as MpEvent
+from typing import Any
 
 from frigate.config import FrigateConfig
 from frigate.events.maintainer import EventStateEnum, EventTypeEnum
@@ -27,7 +28,7 @@ class TimelineProcessor(threading.Thread):
         self.config = config
         self.queue = queue
         self.stop_event = stop_event
-        self.pre_event_cache: dict[str, list[dict[str, any]]] = {}
+        self.pre_event_cache: dict[str, list[dict[str, Any]]] = {}
 
     def run(self) -> None:
         while not self.stop_event.is_set():
@@ -55,9 +56,9 @@ class TimelineProcessor(threading.Thread):
 
     def insert_or_save(
         self,
-        entry: dict[str, any],
-        prev_event_data: dict[any, any],
-        event_data: dict[any, any],
+        entry: dict[str, Any],
+        prev_event_data: dict[Any, Any],
+        event_data: dict[Any, Any],
     ) -> None:
         """Insert into db or cache."""
         id = entry[Timeline.source_id]
@@ -81,8 +82,8 @@ class TimelineProcessor(threading.Thread):
         self,
         camera: str,
         event_type: str,
-        prev_event_data: dict[any, any],
-        event_data: dict[any, any],
+        prev_event_data: dict[Any, Any],
+        event_data: dict[Any, Any],
     ) -> bool:
         """Handle object detection."""
         save = False
@@ -153,7 +154,7 @@ class TimelineProcessor(threading.Thread):
         self,
         camera: str,
         event_type: str,
-        event_data: dict[any, any],
+        event_data: dict[Any, Any],
     ) -> bool:
         if event_type != "new":
             return False
diff --git a/frigate/track/__init__.py b/frigate/track/__init__.py
index 4fe51f476..dc72be4f0 100644
--- a/frigate/track/__init__.py
+++ b/frigate/track/__init__.py
@@ -1,4 +1,5 @@
 from abc import ABC, abstractmethod
+from typing import Any
 
 from frigate.config import DetectConfig
 
@@ -10,6 +11,6 @@ class ObjectTracker(ABC):
 
     @abstractmethod
     def match_and_update(
-        self, frame_name: str, frame_time: float, detections: list[dict[str, any]]
+        self, frame_name: str, frame_time: float, detections: list[dict[str, Any]]
     ) -> None:
         pass
diff --git a/frigate/track/norfair_tracker.py b/frigate/track/norfair_tracker.py
index 67950bd0c..900971e0d 100644
--- a/frigate/track/norfair_tracker.py
+++ b/frigate/track/norfair_tracker.py
@@ -1,7 +1,9 @@
 import logging
 import random
 import string
+from typing import Any, Sequence
 
+import cv2
 import numpy as np
 from norfair import (
     Detection,
@@ -11,12 +13,19 @@ from norfair import (
     draw_boxes,
 )
 from norfair.drawing.drawer import Drawer
+from rich import print
+from rich.console import Console
+from rich.table import Table
 
 from frigate.camera import PTZMetrics
 from frigate.config import CameraConfig
 from frigate.ptz.autotrack import PtzMotionEstimator
 from frigate.track import ObjectTracker
-from frigate.util.image import intersection_over_union
+from frigate.util.image import (
+    SharedMemoryFrameManager,
+    get_histogram,
+    intersection_over_union,
+)
 from frigate.util.object import average_boxes, median_of_boxes
 
 logger = logging.getLogger(__name__)
@@ -71,12 +80,36 @@ def frigate_distance(detection: Detection, tracked_object) -> float:
     return distance(detection.points, tracked_object.estimate)
 
 
+def histogram_distance(matched_not_init_trackers, unmatched_trackers):
+    snd_embedding = unmatched_trackers.last_detection.embedding
+
+    if snd_embedding is None:
+        for detection in reversed(unmatched_trackers.past_detections):
+            if detection.embedding is not None:
+                snd_embedding = detection.embedding
+                break
+        else:
+            return 1
+
+    for detection_fst in matched_not_init_trackers.past_detections:
+        if detection_fst.embedding is None:
+            continue
+
+        distance = 1 - cv2.compareHist(
+            snd_embedding, detection_fst.embedding, cv2.HISTCMP_CORREL
+        )
+        if distance < 0.5:
+            return distance
+    return 1
+
+
 class NorfairTracker(ObjectTracker):
     def __init__(
         self,
         config: CameraConfig,
         ptz_metrics: PTZMetrics,
     ):
+        self.frame_manager = SharedMemoryFrameManager()
         self.tracked_objects = {}
         self.untracked_object_boxes: list[list[int]] = []
         self.disappeared = {}
@@ -88,26 +121,143 @@ class NorfairTracker(ObjectTracker):
         self.ptz_motion_estimator = {}
         self.camera_name = config.name
         self.track_id_map = {}
-        # TODO: could also initialize a tracker per object class if there
-        #       was a good reason to have different distance calculations
-        self.tracker = Tracker(
-            distance_function=frigate_distance,
-            distance_threshold=2.5,
-            initialization_delay=self.detect_config.min_initialized,
-            hit_counter_max=self.detect_config.max_disappeared,
-            # use default filter factory with custom values
-            # R is the multiplier for the sensor measurement noise matrix, default of 4.0
-            # lowering R means that we trust the position of the bounding boxes more
-            # testing shows that the prediction was being relied on a bit too much
-            # TODO: could use different kalman filter values along with
-            #       the different tracker per object class
-            filter_factory=OptimizedKalmanFilterFactory(R=3.4),
-        )
+
+        # Define tracker configurations for static camera
+        self.object_type_configs = {
+            "car": {
+                "filter_factory": OptimizedKalmanFilterFactory(R=3.4, Q=0.03),
+                "distance_function": frigate_distance,
+                "distance_threshold": 2.5,
+            },
+            "license_plate": {
+                "filter_factory": OptimizedKalmanFilterFactory(R=2.5, Q=0.05),
+                "distance_function": frigate_distance,
+                "distance_threshold": 3.75,
+            },
+        }
+
+        # Define autotracking PTZ-specific configurations
+        self.ptz_object_type_configs = {
+            "person": {
+                "filter_factory": OptimizedKalmanFilterFactory(
+                    R=4.5,
+                    Q=0.25,
+                ),
+                "distance_function": frigate_distance,
+                "distance_threshold": 2,
+                "past_detections_length": 5,
+                "reid_distance_function": histogram_distance,
+                "reid_distance_threshold": 0.5,
+                "reid_hit_counter_max": 10,
+            },
+        }
+
+        # Default tracker configuration
+        # use default filter factory with custom values
+        # R is the multiplier for the sensor measurement noise matrix, default of 4.0
+        # lowering R means that we trust the position of the bounding boxes more
+        # testing shows that the prediction was being relied on a bit too much
+        self.default_tracker_config = {
+            "filter_factory": OptimizedKalmanFilterFactory(R=3.4),
+            "distance_function": frigate_distance,
+            "distance_threshold": 2.5,
+        }
+
+        self.default_ptz_tracker_config = {
+            "filter_factory": OptimizedKalmanFilterFactory(R=4, Q=0.2),
+            "distance_function": frigate_distance,
+            "distance_threshold": 3,
+        }
+
+        self.trackers = {}
+        # Handle static trackers
+        for obj_type, tracker_config in self.object_type_configs.items():
+            if obj_type in self.camera_config.objects.track:
+                if obj_type not in self.trackers:
+                    self.trackers[obj_type] = {}
+                self.trackers[obj_type]["static"] = self._create_tracker(
+                    obj_type, tracker_config
+                )
+
+        # Handle PTZ trackers
+        for obj_type, tracker_config in self.ptz_object_type_configs.items():
+            if (
+                obj_type in self.camera_config.onvif.autotracking.track
+                and self.camera_config.onvif.autotracking.enabled_in_config
+            ):
+                if obj_type not in self.trackers:
+                    self.trackers[obj_type] = {}
+                self.trackers[obj_type]["ptz"] = self._create_tracker(
+                    obj_type, tracker_config
+                )
+
+        # Initialize default trackers
+        self.default_tracker = {
+            "static": Tracker(
+                distance_function=frigate_distance,
+                distance_threshold=self.default_tracker_config["distance_threshold"],
+                initialization_delay=self.detect_config.min_initialized,
+                hit_counter_max=self.detect_config.max_disappeared,
+                filter_factory=self.default_tracker_config["filter_factory"],
+            ),
+            "ptz": Tracker(
+                distance_function=frigate_distance,
+                distance_threshold=self.default_ptz_tracker_config[
+                    "distance_threshold"
+                ],
+                initialization_delay=self.detect_config.min_initialized,
+                hit_counter_max=self.detect_config.max_disappeared,
+                filter_factory=self.default_ptz_tracker_config["filter_factory"],
+            ),
+        }
+
         if self.ptz_metrics.autotracker_enabled.value:
             self.ptz_motion_estimator = PtzMotionEstimator(
                 self.camera_config, self.ptz_metrics
             )
 
+    def _create_tracker(self, obj_type, tracker_config):
+        """Helper function to create a tracker with given configuration."""
+        tracker_params = {
+            "distance_function": tracker_config["distance_function"],
+            "distance_threshold": tracker_config["distance_threshold"],
+            "initialization_delay": self.detect_config.min_initialized,
+            "hit_counter_max": self.detect_config.max_disappeared,
+            "filter_factory": tracker_config["filter_factory"],
+        }
+
+        # Add reid parameters if max_frames is None
+        if (
+            self.detect_config.stationary.max_frames.objects.get(
+                obj_type, self.detect_config.stationary.max_frames.default
+            )
+            is None
+        ):
+            reid_keys = [
+                "past_detections_length",
+                "reid_distance_function",
+                "reid_distance_threshold",
+                "reid_hit_counter_max",
+            ]
+            tracker_params.update(
+                {key: tracker_config[key] for key in reid_keys if key in tracker_config}
+            )
+
+        return Tracker(**tracker_params)
+
+    def get_tracker(self, object_type: str) -> Tracker:
+        """Get the appropriate tracker based on object type and camera mode."""
+        mode = (
+            "ptz"
+            if self.camera_config.onvif.autotracking.enabled_in_config
+            and object_type in self.camera_config.onvif.autotracking.track
+            and object_type in self.ptz_object_type_configs.keys()
+            else "static"
+        )
+        if object_type in self.trackers:
+            return self.trackers[object_type][mode]
+        return self.default_tracker[mode]
+
     def register(self, track_id, obj):
         rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
         id = f"{obj['frame_time']}-{rand_id}"
@@ -116,32 +266,57 @@ class NorfairTracker(ObjectTracker):
         obj["start_time"] = obj["frame_time"]
         obj["motionless_count"] = 0
         obj["position_changes"] = 0
-        obj["score_history"] = [
-            p.data["score"]
-            for p in next(
-                (o for o in self.tracker.tracked_objects if o.global_id == track_id)
-            ).past_detections
-        ]
+
+        # Get the correct tracker for this object's label
+        tracker = self.get_tracker(obj["label"])
+        obj_match = next(
+            (o for o in tracker.tracked_objects if o.global_id == track_id), None
+        )
+        # if we don't have a match, we have a new object
+        obj["score_history"] = (
+            [p.data["score"] for p in obj_match.past_detections] if obj_match else []
+        )
         self.tracked_objects[id] = obj
         self.disappeared[id] = 0
+        if obj_match:
+            boxes = [p.data["box"] for p in obj_match.past_detections]
+        else:
+            boxes = [obj["box"]]
+
+        xmins, ymins, xmaxs, ymaxs = zip(*boxes)
+
         self.positions[id] = {
-            "xmins": [],
-            "ymins": [],
-            "xmaxs": [],
-            "ymaxs": [],
+            "xmins": list(xmins),
+            "ymins": list(ymins),
+            "xmaxs": list(xmaxs),
+            "ymaxs": list(ymaxs),
             "xmin": 0,
             "ymin": 0,
             "xmax": self.detect_config.width,
             "ymax": self.detect_config.height,
         }
-        self.stationary_box_history[id] = []
+        self.stationary_box_history[id] = boxes
 
     def deregister(self, id, track_id):
+        obj = self.tracked_objects[id]
+
         del self.tracked_objects[id]
         del self.disappeared[id]
-        self.tracker.tracked_objects = [
-            o for o in self.tracker.tracked_objects if o.global_id != track_id
-        ]
+
+        # only manually deregister objects from norfair's list if max_frames is defined
+        if (
+            self.detect_config.stationary.max_frames.objects.get(
+                obj["label"], self.detect_config.stationary.max_frames.default
+            )
+            is not None
+        ):
+            tracker = self.get_tracker(obj["label"])
+            tracker.tracked_objects = [
+                o
+                for o in tracker.tracked_objects
+                if o.global_id != track_id and o.hit_counter < 0
+            ]
+
         del self.track_id_map[track_id]
 
     # tracks the current position of the object based on the last N bounding boxes
@@ -206,9 +381,9 @@ class NorfairTracker(ObjectTracker):
                 }
                 return False
 
-        # if there are less than 10 entries for the position, add the bounding box
+        # if there are more than 5 and less than 10 entries for the position, add the bounding box
         # and recompute the position box
-        if len(position["xmins"]) < 10:
+        if 5 <= len(position["xmins"]) < 10:
             position["xmins"].append(xmin)
             position["ymins"].append(ymin)
             position["xmaxs"].append(xmax)
@@ -285,11 +460,15 @@ class NorfairTracker(ObjectTracker):
         self.match_and_update(frame_name, frame_time, detections=detections)
 
     def match_and_update(
-        self, frame_name: str, frame_time: float, detections: list[dict[str, any]]
+        self, frame_name: str, frame_time: float, detections: list[dict[str, Any]]
     ):
-        norfair_detections = []
-
+        # Group detections by object type
+        detections_by_type = {}
         for obj in detections:
+            label = obj[0]
+            if label not in detections_by_type:
+                detections_by_type[label] = []
+
             # centroid is used for other things downstream
             centroid_x = int((obj[2][0] + obj[2][2]) / 2.0)
             centroid_y = int((obj[2][1] + obj[2][3]) / 2.0)
@@ -297,22 +476,32 @@ class NorfairTracker(ObjectTracker):
             # track based on top,left and bottom,right corners instead of centroid
             points = np.array([[obj[2][0], obj[2][1]], [obj[2][2], obj[2][3]]])
 
-            norfair_detections.append(
-                Detection(
-                    points=points,
-                    label=obj[0],
-                    data={
-                        "label": obj[0],
-                        "score": obj[1],
-                        "box": obj[2],
-                        "area": obj[3],
-                        "ratio": obj[4],
-                        "region": obj[5],
-                        "frame_time": frame_time,
-                        "centroid": (centroid_x, centroid_y),
-                    },
+            embedding = None
+            if self.ptz_metrics.autotracker_enabled.value:
+                yuv_frame = self.frame_manager.get(
+                    frame_name, self.camera_config.frame_shape_yuv
                 )
+                embedding = get_histogram(
+                    yuv_frame, obj[2][0], obj[2][1], obj[2][2], obj[2][3]
+                )
+
+            detection = Detection(
+                points=points,
+                label=label,
+                # TODO: stationary objects won't have embeddings
+                embedding=embedding,
+                data={
+                    "label": label,
+                    "score": obj[1],
+                    "box": obj[2],
+                    "area": obj[3],
+                    "ratio": obj[4],
+                    "region": obj[5],
+                    "frame_time": frame_time,
+                    "centroid": (centroid_x, centroid_y),
+                },
             )
+            detections_by_type[label].append(detection)
 
         coord_transformations = None
 
@@ -327,13 +516,36 @@ class NorfairTracker(ObjectTracker):
                 detections, frame_name, frame_time, self.camera_name
             )
 
-        tracked_objects = self.tracker.update(
-            detections=norfair_detections, coord_transformations=coord_transformations
+        # Update all configured trackers
+        all_tracked_objects = []
+        for label in self.trackers:
+            tracker = self.get_tracker(label)
+            tracked_objects = tracker.update(
+                detections=detections_by_type.get(label, []),
+                coord_transformations=coord_transformations,
+            )
+            all_tracked_objects.extend(tracked_objects)
+
+        # Collect detections for objects without specific trackers
+        default_detections = []
+        for label, dets in detections_by_type.items():
+            if label not in self.trackers:
+                default_detections.extend(dets)
+
+        # Update default tracker with untracked detections
+        mode = (
+            "ptz"
+            if self.camera_config.onvif.autotracking.enabled_in_config
+            else "static"
         )
+        tracked_objects = self.default_tracker[mode].update(
+            detections=default_detections, coord_transformations=coord_transformations
+        )
+        all_tracked_objects.extend(tracked_objects)
 
         # update or create new tracks
         active_ids = []
-        for t in tracked_objects:
+        for t in all_tracked_objects:
             estimate = tuple(t.estimate.flatten().astype(int))
             # keep the estimate within the bounds of the image
             estimate = (
@@ -373,19 +585,58 @@ class NorfairTracker(ObjectTracker):
             o[2] for o in detections if o[2] not in tracked_object_boxes
         ]
 
+    def print_objects_as_table(self, tracked_objects: Sequence):
+        """Used for helping in debugging"""
+        print()
+        console = Console()
+        table = Table(show_header=True, header_style="bold magenta")
+        table.add_column("Id", style="yellow", justify="center")
+        table.add_column("Age", justify="right")
+        table.add_column("Hit Counter", justify="right")
+        table.add_column("Last distance", justify="right")
+        table.add_column("Init Id", justify="center")
+        for obj in tracked_objects:
+            table.add_row(
+                str(obj.id),
+                str(obj.age),
+                str(obj.hit_counter),
+                f"{obj.last_distance:.4f}" if obj.last_distance is not None else "N/A",
+                str(obj.initializing_id),
+            )
+        console.print(table)
+
     def debug_draw(self, frame, frame_time):
+        # Collect all tracked objects from each tracker
+        all_tracked_objects = []
+
+        # print a table to the console with norfair tracked object info
+        if False:
+            if len(self.trackers["license_plate"]["static"].tracked_objects) > 0:
+                self.print_objects_as_table(
+                    self.trackers["license_plate"]["static"].tracked_objects
+                )
+
+        # Get tracked objects from type-specific trackers
+        for object_trackers in self.trackers.values():
+            for tracker in object_trackers.values():
+                all_tracked_objects.extend(tracker.tracked_objects)
+
+        # Get tracked objects from default trackers
+        for tracker in self.default_tracker.values():
+            all_tracked_objects.extend(tracker.tracked_objects)
+
         active_detections = [
             Drawable(id=obj.id, points=obj.last_detection.points, label=obj.label)
-            for obj in self.tracker.tracked_objects
+            for obj in all_tracked_objects
             if obj.last_detection.data["frame_time"] == frame_time
         ]
         missing_detections = [
             Drawable(id=obj.id, points=obj.last_detection.points, label=obj.label)
-            for obj in self.tracker.tracked_objects
+            for obj in all_tracked_objects
             if obj.last_detection.data["frame_time"] != frame_time
         ]
         # draw the estimated bounding box
-        draw_boxes(frame, self.tracker.tracked_objects, color="green", draw_ids=True)
+        draw_boxes(frame, all_tracked_objects, color="green", draw_ids=True)
         # draw the detections that were detected in the current frame
         draw_boxes(frame, active_detections, color="blue", draw_ids=True)
         # draw the detections that are missing in the current frame
@@ -393,7 +644,7 @@ class NorfairTracker(ObjectTracker):
 
         # draw the distance calculation for the last detection
         # estimate vs detection
-        for obj in self.tracker.tracked_objects:
+        for obj in all_tracked_objects:
             ld = obj.last_detection
             # bottom right
             text_anchor = (
@@ -408,3 +659,20 @@ class NorfairTracker(ObjectTracker):
                 color=(255, 0, 0),
                 thickness=None,
             )
+
+        if False:
+            # draw the current formatted time on the frame
+            from datetime import datetime
+
+            formatted_time = datetime.fromtimestamp(frame_time).strftime(
+                "%m/%d/%Y %I:%M:%S %p"
+            )
+
+            frame = Drawer.text(
+                frame,
+                formatted_time,
+                position=(10, 50),
+                size=1.5,
+                color=(255, 255, 255),
+                thickness=None,
+            )
diff --git a/frigate/track/object_processing.py b/frigate/track/object_processing.py
new file mode 100644
index 000000000..773c6da30
--- /dev/null
+++ b/frigate/track/object_processing.py
@@ -0,0 +1,769 @@
+import base64
+import datetime
+import json
+import logging
+import queue
+import threading
+from collections import defaultdict
+from enum import Enum
+from multiprocessing.synchronize import Event as MpEvent
+from typing import Any
+
+import cv2
+import numpy as np
+from peewee import SQL, DoesNotExist
+
+from frigate.camera.state import CameraState
+from frigate.comms.config_updater import ConfigSubscriber
+from frigate.comms.detections_updater import DetectionPublisher, DetectionTypeEnum
+from frigate.comms.dispatcher import Dispatcher
+from frigate.comms.event_metadata_updater import (
+    EventMetadataSubscriber,
+    EventMetadataTypeEnum,
+)
+from frigate.comms.events_updater import EventEndSubscriber, EventUpdatePublisher
+from frigate.comms.inter_process import InterProcessRequestor
+from frigate.config import (
+    CameraMqttConfig,
+    FrigateConfig,
+    RecordConfig,
+    SnapshotsConfig,
+)
+from frigate.const import (
+    FAST_QUEUE_TIMEOUT,
+    UPDATE_CAMERA_ACTIVITY,
+    UPSERT_REVIEW_SEGMENT,
+)
+from frigate.events.types import EventStateEnum, EventTypeEnum
+from frigate.models import Event, ReviewSegment, Timeline
+from frigate.track.tracked_object import TrackedObject
+from frigate.util.image import SharedMemoryFrameManager
+
+logger = logging.getLogger(__name__)
+
+
+class ManualEventState(str, Enum):
+    complete = "complete"
+    start = "start"
+    end = "end"
+
+
+class TrackedObjectProcessor(threading.Thread):
+    def __init__(
+        self,
+        config: FrigateConfig,
+        dispatcher: Dispatcher,
+        tracked_objects_queue,
+        ptz_autotracker_thread,
+        stop_event,
+    ):
+        super().__init__(name="detected_frames_processor")
+        self.config = config
+        self.dispatcher = dispatcher
+        self.tracked_objects_queue = tracked_objects_queue
+        self.stop_event: MpEvent = stop_event
+        self.camera_states: dict[str, CameraState] = {}
+        self.frame_manager = SharedMemoryFrameManager()
+        self.last_motion_detected: dict[str, float] = {}
+        self.ptz_autotracker_thread = ptz_autotracker_thread
+
+        self.config_enabled_subscriber = ConfigSubscriber("config/enabled/")
+
+        self.requestor = InterProcessRequestor()
+        self.detection_publisher = DetectionPublisher(DetectionTypeEnum.all)
+        self.event_sender = EventUpdatePublisher()
+        self.event_end_subscriber = EventEndSubscriber()
+        self.sub_label_subscriber = EventMetadataSubscriber(EventMetadataTypeEnum.all)
+
+        self.camera_activity: dict[str, dict[str, Any]] = {}
+        self.ongoing_manual_events: dict[str, str] = {}
+
+        # {
+        #   'zone_name': {
+        #       'person': {
+        #           'camera_1': 2,
+        #           'camera_2': 1
+        #       }
+        #   }
+        # }
+        self.zone_data = defaultdict(lambda: defaultdict(dict))
+        self.active_zone_data = defaultdict(lambda: defaultdict(dict))
+
+        def start(camera: str, obj: TrackedObject, frame_name: str):
+            self.event_sender.publish(
+                (
+                    EventTypeEnum.tracked_object,
+                    EventStateEnum.start,
+                    camera,
+                    frame_name,
+                    obj.to_dict(),
+                )
+            )
+
+        def update(camera: str, obj: TrackedObject, frame_name: str):
+            obj.has_snapshot = self.should_save_snapshot(camera, obj)
+            obj.has_clip = self.should_retain_recording(camera, obj)
+            after = obj.to_dict()
+            message = {
+                "before": obj.previous,
+                "after": after,
+                "type": "new" if obj.previous["false_positive"] else "update",
+            }
+            self.dispatcher.publish("events", json.dumps(message), retain=False)
+            obj.previous = after
+            self.event_sender.publish(
+                (
+                    EventTypeEnum.tracked_object,
+                    EventStateEnum.update,
+                    camera,
+                    frame_name,
+                    obj.to_dict(),
+                )
+            )
+
+        def autotrack(camera: str, obj: TrackedObject, frame_name: str):
+            self.ptz_autotracker_thread.ptz_autotracker.autotrack_object(camera, obj)
+
+        def end(camera: str, obj: TrackedObject, frame_name: str):
+            # populate has_snapshot
+            obj.has_snapshot = self.should_save_snapshot(camera, obj)
+            obj.has_clip = self.should_retain_recording(camera, obj)
+
+            # write thumbnail to disk if it will be saved as an event
+            if obj.has_snapshot or obj.has_clip:
+                obj.write_thumbnail_to_disk()
+
+            # write the snapshot to disk
+            if obj.has_snapshot:
+                obj.write_snapshot_to_disk()
+
+            if not obj.false_positive:
+                message = {
+                    "before": obj.previous,
+                    "after": obj.to_dict(),
+                    "type": "end",
+                }
+                self.dispatcher.publish("events", json.dumps(message), retain=False)
+                self.ptz_autotracker_thread.ptz_autotracker.end_object(camera, obj)
+
+            self.event_sender.publish(
+                (
+                    EventTypeEnum.tracked_object,
+                    EventStateEnum.end,
+                    camera,
+                    frame_name,
+                    obj.to_dict(),
+                )
+            )
+
+        def snapshot(camera: str, obj: TrackedObject) -> bool:
+            mqtt_config: CameraMqttConfig = self.config.cameras[camera].mqtt
+            if mqtt_config.enabled and self.should_mqtt_snapshot(camera, obj):
+                jpg_bytes = obj.get_img_bytes(
+                    ext="jpg",
+                    timestamp=mqtt_config.timestamp,
+                    bounding_box=mqtt_config.bounding_box,
+                    crop=mqtt_config.crop,
+                    height=mqtt_config.height,
+                    quality=mqtt_config.quality,
+                )
+
+                if jpg_bytes is None:
+                    logger.warning(
+                        f"Unable to send mqtt snapshot for {obj.obj_data['id']}."
+                    )
+                else:
+                    self.dispatcher.publish(
+                        f"{camera}/{obj.obj_data['label']}/snapshot",
+                        jpg_bytes,
+                        retain=True,
+                    )
+
+                    if obj.obj_data.get("sub_label"):
+                        sub_label = obj.obj_data["sub_label"][0]
+
+                        if sub_label in self.config.model.all_attribute_logos:
+                            self.dispatcher.publish(
+                                f"{camera}/{sub_label}/snapshot",
+                                jpg_bytes,
+                                retain=True,
+                            )
+
+                    return True
+
+            return False
+
+        def camera_activity(camera, activity):
+            last_activity = self.camera_activity.get(camera)
+
+            if not last_activity or activity != last_activity:
+                self.camera_activity[camera] = activity
+                self.requestor.send_data(UPDATE_CAMERA_ACTIVITY, self.camera_activity)
+
+        for camera in self.config.cameras.keys():
+            camera_state = CameraState(
+                camera, self.config, self.frame_manager, self.ptz_autotracker_thread
+            )
+            camera_state.on("start", start)
+            camera_state.on("autotrack", autotrack)
+            camera_state.on("update", update)
+            camera_state.on("end", end)
+            camera_state.on("snapshot", snapshot)
+            camera_state.on("camera_activity", camera_activity)
+            self.camera_states[camera] = camera_state
+
+    def should_save_snapshot(self, camera, obj: TrackedObject):
+        if obj.false_positive:
+            return False
+
+        snapshot_config: SnapshotsConfig = self.config.cameras[camera].snapshots
+
+        if not snapshot_config.enabled:
+            return False
+
+        # object never changed position
+        if obj.obj_data["position_changes"] == 0:
+            return False
+
+        # if there are required zones and there is no overlap
+        required_zones = snapshot_config.required_zones
+        if len(required_zones) > 0 and not set(obj.entered_zones) & set(required_zones):
+            logger.debug(
+                f"Not creating snapshot for {obj.obj_data['id']} because it did not enter required zones"
+            )
+            return False
+
+        return True
+
+    def should_retain_recording(self, camera: str, obj: TrackedObject):
+        if obj.false_positive:
+            return False
+
+        record_config: RecordConfig = self.config.cameras[camera].record
+
+        # Recording is disabled
+        if not record_config.enabled:
+            return False
+
+        # object never changed position
+        if obj.obj_data["position_changes"] == 0:
+            return False
+
+        # If the object is not considered an alert or detection
+        if obj.max_severity is None:
+            return False
+
+        return True
+
+    def should_mqtt_snapshot(self, camera, obj: TrackedObject):
+        # object never changed position
+        if obj.is_stationary():
+            return False
+
+        # if there are required zones and there is no overlap
+        required_zones = self.config.cameras[camera].mqtt.required_zones
+        if len(required_zones) > 0 and not set(obj.entered_zones) & set(required_zones):
+            logger.debug(
+                f"Not sending mqtt for {obj.obj_data['id']} because it did not enter required zones"
+            )
+            return False
+
+        return True
+
+    def update_mqtt_motion(self, camera, frame_time, motion_boxes):
+        # publish if motion is currently being detected
+        if motion_boxes:
+            # only send ON if motion isn't already active
+            if self.last_motion_detected.get(camera, 0) == 0:
+                self.dispatcher.publish(
+                    f"{camera}/motion",
+                    "ON",
+                    retain=False,
+                )
+
+            # always updated latest motion
+            self.last_motion_detected[camera] = frame_time
+        elif self.last_motion_detected.get(camera, 0) > 0:
+            mqtt_delay = self.config.cameras[camera].motion.mqtt_off_delay
+
+            # If no motion, make sure the off_delay has passed
+            if frame_time - self.last_motion_detected.get(camera, 0) >= mqtt_delay:
+                self.dispatcher.publish(
+                    f"{camera}/motion",
+                    "OFF",
+                    retain=False,
+                )
+                # reset the last_motion so redundant `off` commands aren't sent
+                self.last_motion_detected[camera] = 0
+
+    def get_best(self, camera, label):
+        # TODO: need a lock here
+        camera_state = self.camera_states[camera]
+        if label in camera_state.best_objects:
+            best_obj = camera_state.best_objects[label]
+            best = best_obj.thumbnail_data.copy()
+            best["frame"] = camera_state.frame_cache.get(
+                best_obj.thumbnail_data["frame_time"]
+            )
+            return best
+        else:
+            return {}
+
+    def get_current_frame(
+        self, camera: str, draw_options: dict[str, Any] = {}
+    ) -> np.ndarray | None:
+        if camera == "birdseye":
+            return self.frame_manager.get(
+                "birdseye",
+                (self.config.birdseye.height * 3 // 2, self.config.birdseye.width),
+            )
+
+        if camera not in self.camera_states:
+            return None
+
+        return self.camera_states[camera].get_current_frame(draw_options)
+
+    def get_current_frame_time(self, camera) -> int:
+        """Returns the latest frame time for a given camera."""
+        return self.camera_states[camera].current_frame_time
+
+    def set_sub_label(
+        self, event_id: str, sub_label: str | None, score: float | None
+    ) -> None:
+        """Update sub label for given event id."""
+        tracked_obj: TrackedObject = None
+
+        for state in self.camera_states.values():
+            tracked_obj = state.tracked_objects.get(event_id)
+
+            if tracked_obj is not None:
+                break
+
+        try:
+            event: Event = Event.get(Event.id == event_id)
+        except DoesNotExist:
+            event = None
+
+        if not tracked_obj and not event:
+            return
+
+        if tracked_obj:
+            tracked_obj.obj_data["sub_label"] = (sub_label, score)
+
+        if event:
+            event.sub_label = sub_label
+            data = event.data
+            if sub_label is None:
+                data["sub_label_score"] = None
+            elif score is not None:
+                data["sub_label_score"] = score
+            event.data = data
+            event.save()
+
+            # update timeline items
+            Timeline.update(
+                data=Timeline.data.update({"sub_label": (sub_label, score)})
+            ).where(Timeline.source_id == event_id).execute()
+
+            # only update ended review segments
+            # manually updating a sub_label from the UI is only possible for ended tracked objects
+            try:
+                review_segment = ReviewSegment.get(
+                    (
+                        SQL(
+                            "json_extract(data, '$.detections') LIKE ?",
+                            [f'%"{event_id}"%'],
+                        )
+                    )
+                    & (ReviewSegment.end_time.is_null(False))
+                )
+
+                segment_data = review_segment.data
+                detection_ids = segment_data.get("detections", [])
+
+                # Rebuild objects list and sync sub_labels
+                objects_list = []
+                sub_labels = set()
+                events = Event.select(Event.id, Event.label, Event.sub_label).where(
+                    Event.id.in_(detection_ids)
+                )
+                for det_event in events:
+                    if det_event.sub_label:
+                        sub_labels.add(det_event.sub_label)
+                        objects_list.append(
+                            f"{det_event.label}-verified"
+                        )  # eg, "bird-verified"
+                    else:
+                        objects_list.append(det_event.label)  # eg, "bird"
+
+                segment_data["sub_labels"] = list(sub_labels)
+                segment_data["objects"] = objects_list
+
+                updated_data = {
+                    ReviewSegment.id.name: review_segment.id,
+                    ReviewSegment.camera.name: review_segment.camera,
+                    ReviewSegment.start_time.name: review_segment.start_time,
+                    ReviewSegment.end_time.name: review_segment.end_time,
+                    ReviewSegment.severity.name: review_segment.severity,
+                    ReviewSegment.thumb_path.name: review_segment.thumb_path,
+                    ReviewSegment.data.name: segment_data,
+                }
+
+                self.requestor.send_data(UPSERT_REVIEW_SEGMENT, updated_data)
+                logger.debug(
+                    f"Updated sub_label for event {event_id} in review segment {review_segment.id}"
+                )
+
+            except ReviewSegment.DoesNotExist:
+                logger.debug(
+                    f"No review segment found with event ID {event_id} when updating sub_label"
+                )
+
+        return True
+
+    def set_recognized_license_plate(
+        self, event_id: str, recognized_license_plate: str | None, score: float | None
+    ) -> None:
+        """Update recognized license plate for given event id."""
+        tracked_obj: TrackedObject = None
+
+        for state in self.camera_states.values():
+            tracked_obj = state.tracked_objects.get(event_id)
+
+            if tracked_obj is not None:
+                break
+
+        try:
+            event: Event = Event.get(Event.id == event_id)
+        except DoesNotExist:
+            event = None
+
+        if not tracked_obj and not event:
+            return
+
+        if tracked_obj:
+            tracked_obj.obj_data["recognized_license_plate"] = (
+                recognized_license_plate,
+                score,
+            )
+
+        if event:
+            data = event.data
+            data["recognized_license_plate"] = recognized_license_plate
+            if recognized_license_plate is None:
+                data["recognized_license_plate_score"] = None
+            elif score is not None:
+                data["recognized_license_plate_score"] = score
+            event.data = data
+            event.save()
+
+        return True
+
+    def save_lpr_snapshot(self, payload: tuple) -> None:
+        # save the snapshot image
+        (frame, event_id, camera) = payload
+
+        img = cv2.imdecode(
+            np.frombuffer(base64.b64decode(frame), dtype=np.uint8),
+            cv2.IMREAD_COLOR,
+        )
+
+        self.camera_states[camera].save_manual_event_image(
+            img, event_id, "license_plate", {}
+        )
+
+    def create_manual_event(self, payload: tuple) -> None:
+        (
+            frame_time,
+            camera_name,
+            label,
+            event_id,
+            include_recording,
+            score,
+            sub_label,
+            duration,
+            source_type,
+            draw,
+        ) = payload
+
+        # save the snapshot image
+        self.camera_states[camera_name].save_manual_event_image(
+            None, event_id, label, draw
+        )
+        end_time = frame_time + duration if duration is not None else None
+
+        # send event to event maintainer
+        self.event_sender.publish(
+            (
+                EventTypeEnum.api,
+                EventStateEnum.start,
+                camera_name,
+                "",
+                {
+                    "id": event_id,
+                    "label": label,
+                    "sub_label": sub_label,
+                    "score": score,
+                    "camera": camera_name,
+                    "start_time": frame_time
+                    - self.config.cameras[camera_name].record.event_pre_capture,
+                    "end_time": end_time,
+                    "has_clip": self.config.cameras[camera_name].record.enabled
+                    and include_recording,
+                    "has_snapshot": True,
+                    "type": source_type,
+                },
+            )
+        )
+
+        if source_type == "api":
+            self.ongoing_manual_events[event_id] = camera_name
+            self.detection_publisher.publish(
+                (
+                    camera_name,
+                    frame_time,
+                    {
+                        "state": (
+                            ManualEventState.complete
+                            if end_time
+                            else ManualEventState.start
+                        ),
+                        "label": f"{label}: {sub_label}" if sub_label else label,
+                        "event_id": event_id,
+                        "end_time": end_time,
+                    },
+                ),
+                DetectionTypeEnum.api.value,
+            )
+
+    def create_lpr_event(self, payload: tuple) -> None:
+        (
+            frame_time,
+            camera_name,
+            label,
+            event_id,
+            include_recording,
+            score,
+            sub_label,
+            plate,
+        ) = payload
+
+        # send event to event maintainer
+        self.event_sender.publish(
+            (
+                EventTypeEnum.api,
+                EventStateEnum.start,
+                camera_name,
+                "",
+                {
+                    "id": event_id,
+                    "label": label,
+                    "sub_label": sub_label,
+                    "score": score,
+                    "camera": camera_name,
+                    "start_time": frame_time
+                    - self.config.cameras[camera_name].record.event_pre_capture,
+                    "end_time": None,
+                    "has_clip": self.config.cameras[camera_name].record.enabled
+                    and include_recording,
+                    "has_snapshot": True,
+                    "type": "api",
+                    "recognized_license_plate": plate,
+                    "recognized_license_plate_score": score,
+                },
+            )
+        )
+
+        self.ongoing_manual_events[event_id] = camera_name
+        self.detection_publisher.publish(
+            (
+                camera_name,
+                frame_time,
+                {
+                    "state": ManualEventState.start,
+                    "label": f"{label}: {sub_label}" if sub_label else label,
+                    "event_id": event_id,
+                    "end_time": None,
+                },
+            ),
+            DetectionTypeEnum.lpr.value,
+        )
+
+    def end_manual_event(self, payload: tuple) -> None:
+        (event_id, end_time) = payload
+
+        self.event_sender.publish(
+            (
+                EventTypeEnum.api,
+                EventStateEnum.end,
+                None,
+                "",
+                {"id": event_id, "end_time": end_time},
+            )
+        )
+
+        if event_id in self.ongoing_manual_events:
+            self.detection_publisher.publish(
+                (
+                    self.ongoing_manual_events[event_id],
+                    end_time,
+                    {
+                        "state": ManualEventState.end,
+                        "event_id": event_id,
+                        "end_time": end_time,
+                    },
+                ),
+                DetectionTypeEnum.api.value,
+            )
+            self.ongoing_manual_events.pop(event_id)
+
+    def force_end_all_events(self, camera: str, camera_state: CameraState):
+        """Ends all active events on camera when disabling."""
+        last_frame_name = camera_state.previous_frame_id
+        for obj_id, obj in list(camera_state.tracked_objects.items()):
+            if "end_time" not in obj.obj_data:
+                logger.debug(f"Camera {camera} disabled, ending active event {obj_id}")
+                obj.obj_data["end_time"] = datetime.datetime.now().timestamp()
+                # end callbacks
+                for callback in camera_state.callbacks["end"]:
+                    callback(camera, obj, last_frame_name)
+
+                # camera activity callbacks
+                for callback in camera_state.callbacks["camera_activity"]:
+                    callback(
+                        camera,
+                        {"enabled": False, "motion": 0, "objects": []},
+                    )
+
+    def run(self):
+        while not self.stop_event.is_set():
+            # check for config updates
+            while True:
+                (
+                    updated_enabled_topic,
+                    updated_enabled_config,
+                ) = self.config_enabled_subscriber.check_for_update()
+
+                if not updated_enabled_topic:
+                    break
+
+                camera_name = updated_enabled_topic.rpartition("/")[-1]
+                self.config.cameras[
+                    camera_name
+                ].enabled = updated_enabled_config.enabled
+
+                if self.camera_states[camera_name].prev_enabled is None:
+                    self.camera_states[
+                        camera_name
+                    ].prev_enabled = updated_enabled_config.enabled
+
+            # manage camera disabled state
+            for camera, config in self.config.cameras.items():
+                if not config.enabled_in_config:
+                    continue
+
+                current_enabled = config.enabled
+                camera_state = self.camera_states[camera]
+
+                if camera_state.prev_enabled and not current_enabled:
+                    logger.debug(f"Not processing objects for disabled camera {camera}")
+                    self.force_end_all_events(camera, camera_state)
+
+                camera_state.prev_enabled = current_enabled
+
+                if not current_enabled:
+                    continue
+
+            # check for sub label updates
+            while True:
+                (raw_topic, payload) = self.sub_label_subscriber.check_for_update(
+                    timeout=0
+                )
+
+                if not raw_topic:
+                    break
+
+                topic = str(raw_topic)
+
+                if topic.endswith(EventMetadataTypeEnum.sub_label.value):
+                    (event_id, sub_label, score) = payload
+                    self.set_sub_label(event_id, sub_label, score)
+                if topic.endswith(EventMetadataTypeEnum.recognized_license_plate.value):
+                    (event_id, recognized_license_plate, score) = payload
+                    self.set_recognized_license_plate(
+                        event_id, recognized_license_plate, score
+                    )
+                elif topic.endswith(EventMetadataTypeEnum.lpr_event_create.value):
+                    self.create_lpr_event(payload)
+                elif topic.endswith(EventMetadataTypeEnum.save_lpr_snapshot.value):
+                    self.save_lpr_snapshot(payload)
+                elif topic.endswith(EventMetadataTypeEnum.manual_event_create.value):
+                    self.create_manual_event(payload)
+                elif topic.endswith(EventMetadataTypeEnum.manual_event_end.value):
+                    self.end_manual_event(payload)
+
+            try:
+                (
+                    camera,
+                    frame_name,
+                    frame_time,
+                    current_tracked_objects,
+                    motion_boxes,
+                    regions,
+                ) = self.tracked_objects_queue.get(True, 1)
+            except queue.Empty:
+                continue
+
+            if not self.config.cameras[camera].enabled:
+                logger.debug(f"Camera {camera} disabled, skipping update")
+                continue
+
+            camera_state = self.camera_states[camera]
+
+            camera_state.update(
+                frame_name, frame_time, current_tracked_objects, motion_boxes, regions
+            )
+
+            self.update_mqtt_motion(camera, frame_time, motion_boxes)
+
+            tracked_objects = [
+                o.to_dict() for o in camera_state.tracked_objects.values()
+            ]
+
+            # publish info on this frame
+            self.detection_publisher.publish(
+                (
+                    camera,
+                    frame_name,
+                    frame_time,
+                    tracked_objects,
+                    motion_boxes,
+                    regions,
+                ),
+                DetectionTypeEnum.video.value,
+            )
+
+            # cleanup event finished queue
+            while not self.stop_event.is_set():
+                update = self.event_end_subscriber.check_for_update(
+                    timeout=FAST_QUEUE_TIMEOUT
+                )
+
+                if not update:
+                    break
+
+                event_id, camera, _ = update
+                self.camera_states[camera].finished(event_id)
+
+        # shut down camera states
+        for state in self.camera_states.values():
+            state.shutdown()
+
+        self.requestor.stop()
+        self.detection_publisher.stop()
+        self.event_sender.stop()
+        self.event_end_subscriber.stop()
+        self.sub_label_subscriber.stop()
+        self.config_enabled_subscriber.stop()
+
+        logger.info("Exiting object processor...")
diff --git a/frigate/track/tracked_object.py b/frigate/track/tracked_object.py
index 3da2a5e04..2cb028a9a 100644
--- a/frigate/track/tracked_object.py
+++ b/frigate/track/tracked_object.py
@@ -1,10 +1,11 @@
 """Object attribute."""
 
-import base64
 import logging
+import math
+import os
 from collections import defaultdict
 from statistics import median
-from typing import Optional
+from typing import Any, Optional
 
 import cv2
 import numpy as np
@@ -12,8 +13,12 @@ import numpy as np
 from frigate.config import (
     CameraConfig,
     ModelConfig,
+    SnapshotsConfig,
+    UIConfig,
 )
+from frigate.const import CLIPS_DIR, THUMB_DIR
 from frigate.review.types import SeverityEnum
+from frigate.util.builtin import sanitize_float
 from frigate.util.image import (
     area,
     calculate_region,
@@ -22,6 +27,7 @@ from frigate.util.image import (
     is_better_thumbnail,
 )
 from frigate.util.object import box_inside
+from frigate.util.velocity import calculate_real_world_speed
 
 logger = logging.getLogger(__name__)
 
@@ -31,8 +37,9 @@ class TrackedObject:
         self,
         model_config: ModelConfig,
         camera_config: CameraConfig,
+        ui_config: UIConfig,
         frame_cache,
-        obj_data: dict[str, any],
+        obj_data: dict[str, Any],
     ):
         # set the score history then remove as it is not part of object state
         self.score_history = obj_data["score_history"]
@@ -42,6 +49,7 @@ class TrackedObject:
         self.colormap = model_config.colormap
         self.logos = model_config.all_attribute_logos
         self.camera_config = camera_config
+        self.ui_config = ui_config
         self.frame_cache = frame_cache
         self.zone_presence: dict[str, int] = {}
         self.zone_loitering: dict[str, int] = {}
@@ -58,24 +66,38 @@ class TrackedObject:
         self.frame = None
         self.active = True
         self.pending_loitering = False
+        self.speed_history = []
+        self.current_estimated_speed = 0
+        self.average_estimated_speed = 0
+        self.velocity_angle = 0
+        self.path_data = []
         self.previous = self.to_dict()
 
     @property
     def max_severity(self) -> Optional[str]:
         review_config = self.camera_config.review
 
-        if self.obj_data["label"] in review_config.alerts.labels and (
-            not review_config.alerts.required_zones
-            or set(self.entered_zones) & set(review_config.alerts.required_zones)
+        if (
+            self.camera_config.review.alerts.enabled
+            and self.obj_data["label"] in review_config.alerts.labels
+            and (
+                not review_config.alerts.required_zones
+                or set(self.entered_zones) & set(review_config.alerts.required_zones)
+            )
         ):
             return SeverityEnum.alert
 
         if (
-            not review_config.detections.labels
-            or self.obj_data["label"] in review_config.detections.labels
-        ) and (
-            not review_config.detections.required_zones
-            or set(self.entered_zones) & set(review_config.detections.required_zones)
+            self.camera_config.review.detections.enabled
+            and (
+                not review_config.detections.labels
+                or self.obj_data["label"] in review_config.detections.labels
+            )
+            and (
+                not review_config.detections.required_zones
+                or set(self.entered_zones)
+                & set(review_config.detections.required_zones)
+            )
         ):
             return SeverityEnum.detection
 
@@ -96,6 +118,7 @@ class TrackedObject:
     def update(self, current_frame_time: float, obj_data, has_valid_frame: bool):
         thumb_update = False
         significant_change = False
+        path_update = False
         autotracker_update = False
         # if the object is not in the current frame, add a 0.0 to the score history
         if obj_data["frame_time"] != current_frame_time:
@@ -122,20 +145,35 @@ class TrackedObject:
                 obj_data,
                 self.camera_config.frame_shape,
             ):
-                self.thumbnail_data = {
-                    "frame_time": current_frame_time,
-                    "box": obj_data["box"],
-                    "area": obj_data["area"],
-                    "region": obj_data["region"],
-                    "score": obj_data["score"],
-                    "attributes": obj_data["attributes"],
-                }
-                thumb_update = True
+                if obj_data["frame_time"] == current_frame_time:
+                    self.thumbnail_data = {
+                        "frame_time": obj_data["frame_time"],
+                        "box": obj_data["box"],
+                        "area": obj_data["area"],
+                        "region": obj_data["region"],
+                        "score": obj_data["score"],
+                        "attributes": obj_data["attributes"],
+                        "current_estimated_speed": self.current_estimated_speed,
+                        "velocity_angle": self.velocity_angle,
+                        "path_data": self.path_data.copy(),
+                        "recognized_license_plate": obj_data.get(
+                            "recognized_license_plate"
+                        ),
+                        "recognized_license_plate_score": obj_data.get(
+                            "recognized_license_plate_score"
+                        ),
+                    }
+                    thumb_update = True
+                else:
+                    logger.debug(
+                        f"{self.camera_config.name}: Object frame time {obj_data['frame_time']} is not equal to the current frame time {current_frame_time}, not updating thumbnail"
+                    )
 
         # check zones
         current_zones = []
         bottom_center = (obj_data["centroid"][0], obj_data["box"][3])
         in_loitering_zone = False
+        in_speed_zone = False
 
         # check each zone
         for name, zone in self.camera_config.zones.items():
@@ -144,12 +182,71 @@ class TrackedObject:
                 continue
             contour = zone.contour
             zone_score = self.zone_presence.get(name, 0) + 1
+
             # check if the object is in the zone
             if cv2.pointPolygonTest(contour, bottom_center, False) >= 0:
                 # if the object passed the filters once, dont apply again
                 if name in self.current_zones or not zone_filtered(self, zone.filters):
-                    # an object is only considered present in a zone if it has a zone inertia of 3+
+                    # Calculate speed first if this is a speed zone
+                    if (
+                        zone.distances
+                        and obj_data["frame_time"] == current_frame_time
+                        and self.active
+                    ):
+                        speed_magnitude, self.velocity_angle = (
+                            calculate_real_world_speed(
+                                zone.contour,
+                                zone.distances,
+                                self.obj_data["estimate_velocity"],
+                                bottom_center,
+                                self.camera_config.detect.fps,
+                            )
+                        )
+
+                        # users can configure speed zones incorrectly, so sanitize speed_magnitude
+                        # and velocity_angle in case the values come back as inf or NaN
+                        speed_magnitude = sanitize_float(speed_magnitude)
+                        self.velocity_angle = sanitize_float(self.velocity_angle)
+
+                        if self.ui_config.unit_system == "metric":
+                            self.current_estimated_speed = (
+                                speed_magnitude * 3.6
+                            )  # m/s to km/h
+                        else:
+                            self.current_estimated_speed = (
+                                speed_magnitude * 0.681818
+                            )  # ft/s to mph
+
+                        self.speed_history.append(self.current_estimated_speed)
+                        if len(self.speed_history) > 10:
+                            self.speed_history = self.speed_history[-10:]
+
+                        self.average_estimated_speed = sum(self.speed_history) / len(
+                            self.speed_history
+                        )
+
+                        # we've exceeded the speed threshold on the zone
+                        # or we don't have a speed threshold set
+                        if (
+                            zone.speed_threshold is None
+                            or self.average_estimated_speed > zone.speed_threshold
+                        ):
+                            in_speed_zone = True
+
+                        logger.debug(
+                            f"Camera: {self.camera_config.name}, tracked object ID: {self.obj_data['id']}, "
+                            f"zone: {name}, pixel velocity: {str(tuple(np.round(self.obj_data['estimate_velocity']).flatten().astype(int)))}, "
+                            f"speed magnitude: {speed_magnitude}, velocity angle: {self.velocity_angle}, "
+                            f"estimated speed: {self.current_estimated_speed:.1f}, "
+                            f"average speed: {self.average_estimated_speed:.1f}, "
+                            f"length: {len(self.speed_history)}"
+                        )
+
+                    # Check zone entry conditions - for speed zones, require both inertia and speed
                     if zone_score >= zone.inertia:
+                        if zone.distances and not in_speed_zone:
+                            continue  # Skip zone entry for speed zones until speed threshold met
+
                         # if the zone has loitering time, update loitering status
                         if zone.loitering_time > 0:
                             in_loitering_zone = True
@@ -174,6 +271,10 @@ class TrackedObject:
                 if 0 < zone_score < zone.inertia:
                     self.zone_presence[name] = zone_score - 1
 
+            # Reset speed if not in speed zone
+            if zone.distances and name not in current_zones:
+                self.current_estimated_speed = 0
+
         # update loitering status
         self.pending_loitering = in_loitering_zone
 
@@ -183,7 +284,7 @@ class TrackedObject:
                 self.attributes[attr["label"]] = attr["score"]
 
         # populate the sub_label for object with highest scoring logo
-        if self.obj_data["label"] in ["car", "package", "person"]:
+        if self.obj_data["label"] in ["car", "motorcycle", "package", "person"]:
             recognized_logos = {
                 k: self.attributes[k] for k in self.logos if k in self.attributes
             }
@@ -222,11 +323,39 @@ class TrackedObject:
             if self.obj_data["frame_time"] - self.previous["frame_time"] >= (1 / 3):
                 autotracker_update = True
 
+            # update path
+            width = self.camera_config.detect.width
+            height = self.camera_config.detect.height
+            bottom_center = (
+                round(obj_data["centroid"][0] / width, 4),
+                round(obj_data["box"][3] / height, 4),
+            )
+
+            # calculate a reasonable movement threshold (e.g., 5% of the frame diagonal)
+            threshold = 0.05 * math.sqrt(width**2 + height**2) / max(width, height)
+
+            if not self.path_data:
+                self.path_data.append((bottom_center, obj_data["frame_time"]))
+                path_update = True
+            elif (
+                math.dist(self.path_data[-1][0], bottom_center) >= threshold
+                or len(self.path_data) == 1
+            ):
+                # check Euclidean distance before appending
+                self.path_data.append((bottom_center, obj_data["frame_time"]))
+                path_update = True
+                logger.debug(
+                    f"Point tracking: {obj_data['id']}, {bottom_center}, {obj_data['frame_time']}"
+                )
+
         self.obj_data.update(obj_data)
         self.current_zones = current_zones
-        return (thumb_update, significant_change, autotracker_update)
+        logger.debug(
+            f"{self.camera_config.name}: Updating {obj_data['id']}: thumb update? {thumb_update}, significant change? {significant_change}, path update? {path_update}, autotracker update? {autotracker_update} "
+        )
+        return (thumb_update, significant_change, path_update, autotracker_update)
 
-    def to_dict(self, include_thumbnail: bool = False):
+    def to_dict(self):
         event = {
             "id": self.obj_data["id"],
             "camera": self.camera_config.name,
@@ -255,46 +384,42 @@ class TrackedObject:
             "current_attributes": self.obj_data["attributes"],
             "pending_loitering": self.pending_loitering,
             "max_severity": self.max_severity,
+            "current_estimated_speed": self.current_estimated_speed,
+            "average_estimated_speed": self.average_estimated_speed,
+            "velocity_angle": self.velocity_angle,
+            "path_data": self.path_data.copy(),
+            "recognized_license_plate": self.obj_data.get("recognized_license_plate"),
         }
 
-        if include_thumbnail:
-            event["thumbnail"] = base64.b64encode(self.get_thumbnail()).decode("utf-8")
-
         return event
 
-    def is_active(self):
+    def is_active(self) -> bool:
         return not self.is_stationary()
 
-    def is_stationary(self):
+    def is_stationary(self) -> bool:
         return (
             self.obj_data["motionless_count"]
             > self.camera_config.detect.stationary.threshold
         )
 
-    def get_thumbnail(self):
-        if (
-            self.thumbnail_data is None
-            or self.thumbnail_data["frame_time"] not in self.frame_cache
-        ):
-            ret, jpg = cv2.imencode(".jpg", np.zeros((175, 175, 3), np.uint8))
-
-        jpg_bytes = self.get_jpg_bytes(
-            timestamp=False, bounding_box=False, crop=True, height=175
+    def get_thumbnail(self, ext: str) -> bytes | None:
+        img_bytes = self.get_img_bytes(
+            ext, timestamp=False, bounding_box=False, crop=True, height=175
         )
 
-        if jpg_bytes:
-            return jpg_bytes
+        if img_bytes:
+            return img_bytes
         else:
-            ret, jpg = cv2.imencode(".jpg", np.zeros((175, 175, 3), np.uint8))
-            return jpg.tobytes()
+            _, img = cv2.imencode(f".{ext}", np.zeros((175, 175, 3), np.uint8))
+            return img.tobytes()
 
-    def get_clean_png(self):
+    def get_clean_png(self) -> bytes | None:
         if self.thumbnail_data is None:
             return None
 
         try:
             best_frame = cv2.cvtColor(
-                self.frame_cache[self.thumbnail_data["frame_time"]],
+                self.frame_cache[self.thumbnail_data["frame_time"]]["frame"],
                 cv2.COLOR_YUV2BGR_I420,
             )
         except KeyError:
@@ -309,15 +434,21 @@ class TrackedObject:
         else:
             return None
 
-    def get_jpg_bytes(
-        self, timestamp=False, bounding_box=False, crop=False, height=None, quality=70
-    ):
+    def get_img_bytes(
+        self,
+        ext: str,
+        timestamp=False,
+        bounding_box=False,
+        crop=False,
+        height: int | None = None,
+        quality: int | None = None,
+    ) -> bytes | None:
         if self.thumbnail_data is None:
             return None
 
         try:
             best_frame = cv2.cvtColor(
-                self.frame_cache[self.thumbnail_data["frame_time"]],
+                self.frame_cache[self.thumbnail_data["frame_time"]]["frame"],
                 cv2.COLOR_YUV2BGR_I420,
             )
         except KeyError:
@@ -328,7 +459,7 @@ class TrackedObject:
 
         if bounding_box:
             thickness = 2
-            color = self.colormap[self.obj_data["label"]]
+            color = self.colormap.get(self.obj_data["label"], (255, 255, 255))
 
             # draw the bounding boxes on the frame
             box = self.thumbnail_data["box"]
@@ -339,7 +470,12 @@ class TrackedObject:
                 box[2],
                 box[3],
                 self.obj_data["label"],
-                f"{int(self.thumbnail_data['score'] * 100)}% {int(self.thumbnail_data['area'])}",
+                f"{int(self.thumbnail_data['score'] * 100)}% {int(self.thumbnail_data['area'])}"
+                + (
+                    f" {self.thumbnail_data['current_estimated_speed']:.1f}"
+                    if self.thumbnail_data["current_estimated_speed"] != 0
+                    else ""
+                ),
                 thickness=thickness,
                 color=color,
             )
@@ -347,6 +483,7 @@ class TrackedObject:
             # draw any attributes
             for attribute in self.thumbnail_data["attributes"]:
                 box = attribute["box"]
+                box_area = int((box[2] - box[0]) * (box[3] - box[1]))
                 draw_box_with_label(
                     best_frame,
                     box[0],
@@ -354,7 +491,7 @@ class TrackedObject:
                     box[2],
                     box[3],
                     attribute["label"],
-                    f"{attribute['score']:.0%}",
+                    f"{attribute['score']:.0%} {str(box_area)}",
                     thickness=thickness,
                     color=color,
                 )
@@ -390,14 +527,69 @@ class TrackedObject:
                 position=self.camera_config.timestamp_style.position,
             )
 
-        ret, jpg = cv2.imencode(
-            ".jpg", best_frame, [int(cv2.IMWRITE_JPEG_QUALITY), quality]
-        )
+        quality_params = None
+
+        if ext == "jpg":
+            quality_params = [int(cv2.IMWRITE_JPEG_QUALITY), quality or 70]
+        elif ext == "webp":
+            quality_params = [int(cv2.IMWRITE_WEBP_QUALITY), quality or 60]
+
+        ret, jpg = cv2.imencode(f".{ext}", best_frame, quality_params)
+
         if ret:
             return jpg.tobytes()
         else:
             return None
 
+    def write_snapshot_to_disk(self) -> None:
+        snapshot_config: SnapshotsConfig = self.camera_config.snapshots
+        jpg_bytes = self.get_img_bytes(
+            ext="jpg",
+            timestamp=snapshot_config.timestamp,
+            bounding_box=snapshot_config.bounding_box,
+            crop=snapshot_config.crop,
+            height=snapshot_config.height,
+            quality=snapshot_config.quality,
+        )
+        if jpg_bytes is None:
+            logger.warning(f"Unable to save snapshot for {self.obj_data['id']}.")
+        else:
+            with open(
+                os.path.join(
+                    CLIPS_DIR, f"{self.camera_config.name}-{self.obj_data['id']}.jpg"
+                ),
+                "wb",
+            ) as j:
+                j.write(jpg_bytes)
+
+        # write clean snapshot if enabled
+        if snapshot_config.clean_copy:
+            png_bytes = self.get_clean_png()
+            if png_bytes is None:
+                logger.warning(
+                    f"Unable to save clean snapshot for {self.obj_data['id']}."
+                )
+            else:
+                with open(
+                    os.path.join(
+                        CLIPS_DIR,
+                        f"{self.camera_config.name}-{self.obj_data['id']}-clean.png",
+                    ),
+                    "wb",
+                ) as p:
+                    p.write(png_bytes)
+
+    def write_thumbnail_to_disk(self) -> None:
+        directory = os.path.join(THUMB_DIR, self.camera_config.name)
+
+        if not os.path.exists(directory):
+            os.makedirs(directory)
+
+        thumb_bytes = self.get_thumbnail("webp")
+
+        with open(os.path.join(directory, f"{self.obj_data['id']}.webp"), "wb") as f:
+            f.write(thumb_bytes)
+
 
 def zone_filtered(obj: TrackedObject, object_config):
     object_name = obj.obj_data["label"]
@@ -439,7 +631,7 @@ class TrackedObjectAttribute:
         self.ratio = raw_data[4]
         self.region = raw_data[5]
 
-    def get_tracking_data(self) -> dict[str, any]:
+    def get_tracking_data(self) -> dict[str, Any]:
         """Return data saved to the object."""
         return {
             "label": self.label,
@@ -447,7 +639,7 @@ class TrackedObjectAttribute:
             "box": self.box,
         }
 
-    def find_best_object(self, objects: list[dict[str, any]]) -> Optional[str]:
+    def find_best_object(self, objects: list[dict[str, Any]]) -> Optional[str]:
         """Find the best attribute for each object and return its ID."""
         best_object_area = None
         best_object_id = None
@@ -467,8 +659,9 @@ class TrackedObjectAttribute:
                 best_object_id = obj["id"]
                 best_object_label = obj["label"]
             else:
-                if best_object_label == "car" and obj["label"] == "car":
-                    # if multiple cars are overlapping with the same label then the label will not be assigned
+                if best_object_label == obj["label"]:
+                    # if multiple objects of the same type are overlapping
+                    # then the attribute will not be assigned
                     return None
                 elif object_area < best_object_area:
                     # if a car and person are overlapping then assign the label to the smaller object (which should be the person)
diff --git a/frigate/types.py b/frigate/types.py
index 11ab31238..ee48cc02b 100644
--- a/frigate/types.py
+++ b/frigate/types.py
@@ -2,11 +2,13 @@ from enum import Enum
 from typing import TypedDict
 
 from frigate.camera import CameraMetrics
-from frigate.object_detection import ObjectDetectProcess
+from frigate.data_processing.types import DataProcessorMetrics
+from frigate.object_detection.base import ObjectDetectProcess
 
 
 class StatsTrackingTypes(TypedDict):
     camera_metrics: dict[str, CameraMetrics]
+    embeddings_metrics: DataProcessorMetrics | None
     detectors: dict[str, ObjectDetectProcess]
     started: int
     latest_frigate_version: str
@@ -23,3 +25,5 @@ class ModelStatusTypesEnum(str, Enum):
 
 class TrackedObjectUpdateTypesEnum(str, Enum):
     description = "description"
+    face = "face"
+    lpr = "lpr"
diff --git a/frigate/util/builtin.py b/frigate/util/builtin.py
index 5f573ef78..52280ecd8 100644
--- a/frigate/util/builtin.py
+++ b/frigate/util/builtin.py
@@ -4,6 +4,7 @@ import ast
 import copy
 import datetime
 import logging
+import math
 import multiprocessing as mp
 import queue
 import re
@@ -11,6 +12,7 @@ import shlex
 import struct
 import urllib.parse
 from collections.abc import Mapping
+from multiprocessing.sharedctypes import Synchronized
 from pathlib import Path
 from typing import Any, Optional, Tuple, Union
 from zoneinfo import ZoneInfoNotFoundError
@@ -26,16 +28,16 @@ logger = logging.getLogger(__name__)
 
 
 class EventsPerSecond:
-    def __init__(self, max_events=1000, last_n_seconds=10):
+    def __init__(self, max_events=1000, last_n_seconds=10) -> None:
         self._start = None
         self._max_events = max_events
         self._last_n_seconds = last_n_seconds
         self._timestamps = []
 
-    def start(self):
+    def start(self) -> None:
         self._start = datetime.datetime.now().timestamp()
 
-    def update(self):
+    def update(self) -> None:
         now = datetime.datetime.now().timestamp()
         if self._start is None:
             self._start = now
@@ -45,7 +47,7 @@ class EventsPerSecond:
             self._timestamps = self._timestamps[(1 - self._max_events) :]
         self.expire_timestamps(now)
 
-    def eps(self):
+    def eps(self) -> float:
         now = datetime.datetime.now().timestamp()
         if self._start is None:
             self._start = now
@@ -58,12 +60,29 @@ class EventsPerSecond:
         return len(self._timestamps) / seconds
 
     # remove aged out timestamps
-    def expire_timestamps(self, now):
+    def expire_timestamps(self, now: float) -> None:
         threshold = now - self._last_n_seconds
         while self._timestamps and self._timestamps[0] < threshold:
             del self._timestamps[0]
 
 
+class InferenceSpeed:
+    def __init__(self, metric: Synchronized) -> None:
+        self.__metric = metric
+        self.__initialized = False
+
+    def update(self, inference_time: float) -> None:
+        if not self.__initialized:
+            self.__metric.value = inference_time
+            self.__initialized = True
+            return
+
+        self.__metric.value = (self.__metric.value * 9 + inference_time) / 10
+
+    def current(self) -> float:
+        return self.__metric.value
+
+
 def deep_merge(dct1: dict, dct2: dict, override=False, merge_lists=False) -> dict:
     """
     :param dct1: First dict to merge
@@ -138,7 +157,7 @@ def load_labels(path: Optional[str], encoding="utf-8", prefill=91):
         return labels
 
 
-def get_tz_modifiers(tz_name: str) -> Tuple[str, str, int]:
+def get_tz_modifiers(tz_name: str) -> Tuple[str, str, float]:
     seconds_offset = (
         datetime.datetime.now(pytz.timezone(tz_name)).utcoffset().total_seconds()
     )
@@ -151,7 +170,7 @@ def get_tz_modifiers(tz_name: str) -> Tuple[str, str, int]:
 
 def to_relative_box(
     width: int, height: int, box: Tuple[int, int, int, int]
-) -> Tuple[int, int, int, int]:
+) -> Tuple[int | float, int | float, int | float, int | float]:
     return (
         box[0] / width,  # x
         box[1] / height,  # y
@@ -169,6 +188,9 @@ def update_yaml_from_url(file_path, url):
     parsed_url = urllib.parse.urlparse(url)
     query_string = urllib.parse.parse_qs(parsed_url.query, keep_blank_values=True)
 
+    # Filter out empty keys but keep blank values for non-empty keys
+    query_string = {k: v for k, v in query_string.items() if k}
+
     for key_path_str, new_value_list in query_string.items():
         key_path = key_path_str.split(".")
         for i in range(len(key_path)):
@@ -378,3 +400,10 @@ def serialize(
 def deserialize(bytes_data: bytes) -> list[float]:
     """Deserializes a compact "raw bytes" format into a list of floats"""
     return list(struct.unpack("%sf" % (len(bytes_data) // 4), bytes_data))
+
+
+def sanitize_float(value):
+    """Replace NaN or inf with 0.0."""
+    if isinstance(value, (int, float)) and not math.isfinite(value):
+        return 0.0
+    return value
diff --git a/frigate/util/config.py b/frigate/util/config.py
index d456c7557..70492adbc 100644
--- a/frigate/util/config.py
+++ b/frigate/util/config.py
@@ -4,7 +4,7 @@ import asyncio
 import logging
 import os
 import shutil
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
 from ruamel.yaml import YAML
 
@@ -13,8 +13,8 @@ from frigate.util.services import get_video_properties
 
 logger = logging.getLogger(__name__)
 
-CURRENT_CONFIG_VERSION = "0.15-1"
-DEFAULT_CONFIG_FILE = "/config/config.yml"
+CURRENT_CONFIG_VERSION = "0.16-0"
+DEFAULT_CONFIG_FILE = os.path.join(CONFIG_DIR, "config.yml")
 
 
 def find_config_file() -> str:
@@ -37,7 +37,7 @@ def migrate_frigate_config(config_file: str):
     yaml = YAML()
     yaml.indent(mapping=2, sequence=4, offset=2)
     with open(config_file, "r") as f:
-        config: dict[str, dict[str, any]] = yaml.load(f)
+        config: dict[str, dict[str, Any]] = yaml.load(f)
 
     if config is None:
         logger.error(f"Failed to load config at {config_file}")
@@ -84,10 +84,17 @@ def migrate_frigate_config(config_file: str):
             yaml.dump(new_config, f)
         previous_version = "0.15-1"
 
+    if previous_version < "0.16-0":
+        logger.info(f"Migrating frigate config from {previous_version} to 0.16-0...")
+        new_config = migrate_016_0(config)
+        with open(config_file, "w") as f:
+            yaml.dump(new_config, f)
+        previous_version = "0.16-0"
+
     logger.info("Finished frigate config migration...")
 
 
-def migrate_014(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]]:
+def migrate_014(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]]:
     """Handle migrating frigate config to 0.14"""
     # migrate record.events.required_zones to review.alerts.required_zones
     new_config = config.copy()
@@ -135,7 +142,7 @@ def migrate_014(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]]:
         del new_config["rtmp"]
 
     for name, camera in config.get("cameras", {}).items():
-        camera_config: dict[str, dict[str, any]] = camera.copy()
+        camera_config: dict[str, dict[str, Any]] = camera.copy()
         required_zones = (
             camera_config.get("record", {}).get("events", {}).get("required_zones", [])
         )
@@ -174,7 +181,7 @@ def migrate_014(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]]:
     return new_config
 
 
-def migrate_015_0(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]]:
+def migrate_015_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]]:
     """Handle migrating frigate config to 0.15-0"""
     new_config = config.copy()
 
@@ -225,9 +232,9 @@ def migrate_015_0(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]
         del new_config["record"]["events"]
 
     for name, camera in config.get("cameras", {}).items():
-        camera_config: dict[str, dict[str, any]] = camera.copy()
+        camera_config: dict[str, dict[str, Any]] = camera.copy()
 
-        record_events: dict[str, any] = camera_config.get("record", {}).get("events")
+        record_events: dict[str, Any] = camera_config.get("record", {}).get("events")
 
         if record_events:
             alerts_retention = {"retain": {}}
@@ -274,7 +281,7 @@ def migrate_015_0(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]
     return new_config
 
 
-def migrate_015_1(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]]:
+def migrate_015_1(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]]:
     """Handle migrating frigate config to 0.15-1"""
     new_config = config.copy()
 
@@ -289,6 +296,50 @@ def migrate_015_1(config: dict[str, dict[str, any]]) -> dict[str, dict[str, any]
     return new_config
 
 
+def migrate_016_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]]:
+    """Handle migrating frigate config to 0.16-0"""
+    new_config = config.copy()
+
+    # migrate config that does not have detect -> enabled explicitly set to have it enabled
+    if new_config.get("detect", {}).get("enabled") is None:
+        detect_config = new_config.get("detect", {})
+        detect_config["enabled"] = True
+        new_config["detect"] = detect_config
+
+    for name, camera in config.get("cameras", {}).items():
+        camera_config: dict[str, dict[str, Any]] = camera.copy()
+
+        live_config = camera_config.get("live", {})
+        if "stream_name" in live_config:
+            # Migrate from live -> stream_name to live -> streams -> dict
+            stream_name = live_config["stream_name"]
+            live_config["streams"] = {stream_name: stream_name}
+
+            del live_config["stream_name"]
+
+            camera_config["live"] = live_config
+
+        # add another value to movement_weights for autotracking cams
+        onvif_config = camera_config.get("onvif", {})
+        if "autotracking" in onvif_config:
+            movement_weights = (
+                camera_config.get("onvif", {})
+                .get("autotracking")
+                .get("movement_weights", {})
+            )
+
+            if movement_weights and len(movement_weights.split(",")) == 5:
+                onvif_config["autotracking"]["movement_weights"] = (
+                    movement_weights + ", 0"
+                )
+            camera_config["onvif"] = onvif_config
+
+        new_config["cameras"][name] = camera_config
+
+    new_config["version"] = "0.16-0"
+    return new_config
+
+
 def get_relative_coordinates(
     mask: Optional[Union[str, list]], frame_shape: tuple[int, int]
 ) -> Union[str, list]:
@@ -347,6 +398,36 @@ def get_relative_coordinates(
     return mask
 
 
+def convert_area_to_pixels(
+    area_value: Union[int, float], frame_shape: tuple[int, int]
+) -> int:
+    """
+    Convert area specification to pixels.
+
+    Args:
+        area_value: Area value (pixels or percentage)
+        frame_shape: Tuple of (height, width) for the frame
+
+    Returns:
+        Area in pixels
+    """
+    # If already an integer, assume it's in pixels
+    if isinstance(area_value, int):
+        return area_value
+
+    # Check if it's a percentage
+    if isinstance(area_value, float):
+        if 0.000001 <= area_value <= 0.99:
+            frame_area = frame_shape[0] * frame_shape[1]
+            return max(1, int(frame_area * area_value))
+        else:
+            raise ValueError(
+                f"Percentage must be between 0.000001 and 0.99, got {area_value}"
+            )
+
+    raise TypeError(f"Unexpected type for area: {type(area_value)}")
+
+
 class StreamInfoRetriever:
     def __init__(self) -> None:
         self.stream_cache: dict[str, tuple[int, int]] = {}
diff --git a/frigate/util/downloader.py b/frigate/util/downloader.py
index 6685b0bb8..49b05dd05 100644
--- a/frigate/util/downloader.py
+++ b/frigate/util/downloader.py
@@ -51,12 +51,14 @@ class ModelDownloader:
         download_path: str,
         file_names: List[str],
         download_func: Callable[[str], None],
+        complete_func: Callable[[], None] | None = None,
         silent: bool = False,
     ):
         self.model_name = model_name
         self.download_path = download_path
         self.file_names = file_names
         self.download_func = download_func
+        self.complete_func = complete_func
         self.silent = silent
         self.requestor = InterProcessRequestor()
         self.download_thread = None
@@ -97,11 +99,14 @@ class ModelDownloader:
                 },
             )
 
+        if self.complete_func:
+            self.complete_func()
+
         self.requestor.stop()
         self.download_complete.set()
 
     @staticmethod
-    def download_from_url(url: str, save_path: str, silent: bool = False):
+    def download_from_url(url: str, save_path: str, silent: bool = False) -> Path:
         temporary_filename = Path(save_path).with_name(
             os.path.basename(save_path) + ".part"
         )
@@ -125,6 +130,8 @@ class ModelDownloader:
         if not silent:
             logger.info(f"Downloading complete: {url}")
 
+        return Path(save_path)
+
     @staticmethod
     def mark_files_state(
         requestor: InterProcessRequestor,
diff --git a/frigate/util/image.py b/frigate/util/image.py
index 24f523f1e..58afe8b36 100644
--- a/frigate/util/image.py
+++ b/frigate/util/image.py
@@ -8,7 +8,7 @@ from abc import ABC, abstractmethod
 from multiprocessing import resource_tracker as _mprt
 from multiprocessing import shared_memory as _mpshm
 from string import printable
-from typing import AnyStr, Optional
+from typing import Any, AnyStr, Optional
 
 import cv2
 import numpy as np
@@ -80,7 +80,7 @@ def is_better_thumbnail(label, current_thumb, new_obj, frame_shape) -> bool:
             return False
 
     # check license_plate on car
-    if label == "car":
+    if label in ["car", "motorcycle"]:
         if has_better_attr(current_thumb, new_obj, "license_plate"):
             return True
         # if the current thumb has a license_plate attr, dont update unless it gets better
@@ -265,6 +265,19 @@ def draw_box_with_label(
     )
 
 
+def grab_cv2_contours(cnts):
+    # if the length the contours tuple returned by cv2.findContours
+    # is '2' then we are using either OpenCV v2.4, v4-beta, or
+    # v4-official
+    if len(cnts) == 2:
+        return cnts[0]
+
+    # if the length of the contours tuple is '3' then we are using
+    # either OpenCV v3, v4-pre, or v4-alpha
+    elif len(cnts) == 3:
+        return cnts[1]
+
+
 def is_label_printable(label) -> bool:
     """Check if label is printable."""
     return not bool(set(label) - set(printable))
@@ -632,6 +645,22 @@ def copy_yuv_to_position(
         )
 
 
+def get_blank_yuv_frame(width: int, height: int) -> np.ndarray:
+    """Creates a black YUV 4:2:0 frame."""
+    yuv_height = height * 3 // 2
+    yuv_frame = np.zeros((yuv_height, width), dtype=np.uint8)
+
+    uv_height = height // 2
+
+    # The U and V planes are stored after the Y plane.
+    u_start = height  # U plane starts right after Y plane
+    v_start = u_start + uv_height // 2  # V plane starts after U plane
+    yuv_frame[u_start : u_start + uv_height, :width] = 128
+    yuv_frame[v_start : v_start + uv_height, :width] = 128
+
+    return yuv_frame
+
+
 def yuv_region_2_yuv(frame, region):
     try:
         # TODO: does this copy the numpy array?
@@ -737,7 +766,7 @@ class FrameManager(ABC):
         pass
 
     @abstractmethod
-    def write(self, name: str) -> memoryview:
+    def write(self, name: str) -> Optional[memoryview]:
         pass
 
     @abstractmethod
@@ -818,7 +847,7 @@ class SharedMemoryFrameManager(FrameManager):
         self.shm_store[name] = shm
         return shm.buf
 
-    def write(self, name: str) -> memoryview:
+    def write(self, name: str) -> Optional[memoryview]:
         try:
             if name in self.shm_store:
                 shm = self.shm_store[name]
@@ -915,7 +944,7 @@ def get_image_from_recording(
     relative_frame_time: float,
     codec: str,
     height: Optional[int] = None,
-) -> Optional[any]:
+) -> Optional[Any]:
     """retrieve a frame from given time in recording file."""
 
     ffmpeg_cmd = [
@@ -949,3 +978,32 @@ def get_image_from_recording(
         return process.stdout
     else:
         return None
+
+
+def get_histogram(image, x_min, y_min, x_max, y_max):
+    image_bgr = cv2.cvtColor(image, cv2.COLOR_YUV2BGR_I420)
+    image_bgr = image_bgr[y_min:y_max, x_min:x_max]
+
+    hist = cv2.calcHist(
+        [image_bgr], [0, 1, 2], None, [8, 8, 8], [0, 256, 0, 256, 0, 256]
+    )
+    return cv2.normalize(hist, hist).flatten()
+
+
+def ensure_jpeg_bytes(image_data):
+    """Ensure image data is jpeg bytes for genai"""
+    try:
+        img_array = np.frombuffer(image_data, dtype=np.uint8)
+        img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
+
+        if img is None:
+            return image_data
+
+        success, encoded_img = cv2.imencode(".jpg", img)
+
+        if success:
+            return encoded_img.tobytes()
+    except Exception as e:
+        logger.warning(f"Error when converting thumbnail to jpeg for genai: {e}")
+
+    return image_data
diff --git a/frigate/util/model.py b/frigate/util/model.py
index ce2c9538c..65f9b6032 100644
--- a/frigate/util/model.py
+++ b/frigate/util/model.py
@@ -4,20 +4,288 @@ import logging
 import os
 from typing import Any
 
+import cv2
+import numpy as np
 import onnxruntime as ort
 
-try:
-    import openvino as ov
-except ImportError:
-    # openvino is not included
-    pass
+from frigate.const import MODEL_CACHE_DIR
 
 logger = logging.getLogger(__name__)
 
 
+### Post Processing
+
+
+def post_process_dfine(
+    tensor_output: np.ndarray, width: int, height: int
+) -> np.ndarray:
+    class_ids = tensor_output[0][tensor_output[2] > 0.4]
+    boxes = tensor_output[1][tensor_output[2] > 0.4]
+    scores = tensor_output[2][tensor_output[2] > 0.4]
+
+    input_shape = np.array([height, width, height, width])
+    boxes = np.divide(boxes, input_shape, dtype=np.float32)
+    indices = cv2.dnn.NMSBoxes(boxes, scores, score_threshold=0.4, nms_threshold=0.4)
+    detections = np.zeros((20, 6), np.float32)
+
+    for i, (bbox, confidence, class_id) in enumerate(
+        zip(boxes[indices], scores[indices], class_ids[indices])
+    ):
+        if i == 20:
+            break
+
+        detections[i] = [
+            class_id,
+            confidence,
+            bbox[1],
+            bbox[0],
+            bbox[3],
+            bbox[2],
+        ]
+
+    return detections
+
+
+def post_process_rfdetr(tensor_output: list[np.ndarray, np.ndarray]) -> np.ndarray:
+    boxes = tensor_output[0]
+    raw_scores = tensor_output[1]
+
+    # apply soft max to scores
+    exp = np.exp(raw_scores - np.max(raw_scores, axis=-1, keepdims=True))
+    all_scores = exp / np.sum(exp, axis=-1, keepdims=True)
+
+    # get highest scoring class from every detection
+    scores = np.max(all_scores[0, :, 1:], axis=-1)
+    labels = np.argmax(all_scores[0, :, 1:], axis=-1)
+
+    idxs = scores > 0.4
+    filtered_boxes = boxes[0, idxs]
+    filtered_scores = scores[idxs]
+    filtered_labels = labels[idxs]
+
+    # convert boxes from [x_center, y_center, width, height]
+    x_center, y_center, w, h = (
+        filtered_boxes[:, 0],
+        filtered_boxes[:, 1],
+        filtered_boxes[:, 2],
+        filtered_boxes[:, 3],
+    )
+    x_min = x_center - w / 2
+    y_min = y_center - h / 2
+    x_max = x_center + w / 2
+    y_max = y_center + h / 2
+    filtered_boxes = np.stack([x_min, y_min, x_max, y_max], axis=-1)
+
+    # apply nms
+    indices = cv2.dnn.NMSBoxes(
+        filtered_boxes, filtered_scores, score_threshold=0.4, nms_threshold=0.4
+    )
+    detections = np.zeros((20, 6), np.float32)
+
+    for i, (bbox, confidence, class_id) in enumerate(
+        zip(filtered_boxes[indices], filtered_scores[indices], filtered_labels[indices])
+    ):
+        if i == 20:
+            break
+
+        detections[i] = [
+            class_id,
+            confidence,
+            bbox[1],
+            bbox[0],
+            bbox[3],
+            bbox[2],
+        ]
+
+    return detections
+
+
+def __post_process_multipart_yolo(
+    output_list,
+    width,
+    height,
+):
+    anchors = [
+        [(12, 16), (19, 36), (40, 28)],
+        [(36, 75), (76, 55), (72, 146)],
+        [(142, 110), (192, 243), (459, 401)],
+    ]
+
+    stride_map = {0: 8, 1: 16, 2: 32}
+
+    all_boxes = []
+    all_scores = []
+    all_class_ids = []
+
+    for i, output in enumerate(output_list):
+        bs, _, ny, nx = output.shape
+        stride = stride_map[i]
+        anchor_set = anchors[i]
+
+        num_anchors = len(anchor_set)
+        output = output.reshape(bs, num_anchors, 85, ny, nx)
+        output = output.transpose(0, 1, 3, 4, 2)
+        output = output[0]
+
+        for a_idx, (anchor_w, anchor_h) in enumerate(anchor_set):
+            for y in range(ny):
+                for x in range(nx):
+                    pred = output[a_idx, y, x]
+                    class_probs = pred[5:]
+                    class_id = np.argmax(class_probs)
+                    class_conf = class_probs[class_id]
+                    conf = class_conf * pred[4]
+
+                    if conf < 0.4:
+                        continue
+
+                    dx = pred[0]
+                    dy = pred[1]
+                    dw = pred[2]
+                    dh = pred[3]
+
+                    bx = ((dx * 2.0 - 0.5) + x) * stride
+                    by = ((dy * 2.0 - 0.5) + y) * stride
+                    bw = ((dw * 2.0) ** 2) * anchor_w
+                    bh = ((dh * 2.0) ** 2) * anchor_h
+
+                    x1 = max(0, bx - bw / 2)
+                    y1 = max(0, by - bh / 2)
+                    x2 = min(width, bx + bw / 2)
+                    y2 = min(height, by + bh / 2)
+
+                    all_boxes.append([x1, y1, x2, y2])
+                    all_scores.append(conf)
+                    all_class_ids.append(class_id)
+
+    indices = cv2.dnn.NMSBoxes(
+        bboxes=all_boxes,
+        scores=all_scores,
+        score_threshold=0.4,
+        nms_threshold=0.4,
+    )
+
+    results = np.zeros((20, 6), np.float32)
+
+    if len(indices) > 0:
+        for i, idx in enumerate(indices.flatten()[:20]):
+            class_id = all_class_ids[idx]
+            conf = all_scores[idx]
+            x1, y1, x2, y2 = all_boxes[idx]
+            results[i] = [
+                class_id,
+                conf,
+                y1 / height,
+                x1 / width,
+                y2 / height,
+                x2 / width,
+            ]
+
+    return results
+
+
+def __post_process_nms_yolo(predictions: np.ndarray, width, height) -> np.ndarray:
+    predictions = np.squeeze(predictions)
+
+    # transpose the output so it has order (inferences, class_ids)
+    if predictions.shape[0] < predictions.shape[1]:
+        predictions = predictions.T
+
+    scores = np.max(predictions[:, 4:], axis=1)
+    predictions = predictions[scores > 0.4, :]
+    scores = scores[scores > 0.4]
+    class_ids = np.argmax(predictions[:, 4:], axis=1)
+
+    # Rescale box
+    boxes = predictions[:, :4]
+    boxes_xyxy = np.ones_like(boxes)
+    boxes_xyxy[:, 0] = boxes[:, 0] - boxes[:, 2] / 2
+    boxes_xyxy[:, 1] = boxes[:, 1] - boxes[:, 3] / 2
+    boxes_xyxy[:, 2] = boxes[:, 0] + boxes[:, 2] / 2
+    boxes_xyxy[:, 3] = boxes[:, 1] + boxes[:, 3] / 2
+    boxes = boxes_xyxy
+
+    # run NMS
+    indices = cv2.dnn.NMSBoxes(boxes, scores, score_threshold=0.4, nms_threshold=0.4)
+    detections = np.zeros((20, 6), np.float32)
+    for i, (bbox, confidence, class_id) in enumerate(
+        zip(boxes[indices], scores[indices], class_ids[indices])
+    ):
+        if i == 20:
+            break
+
+        detections[i] = [
+            class_id,
+            confidence,
+            bbox[1] / height,
+            bbox[0] / width,
+            bbox[3] / height,
+            bbox[2] / width,
+        ]
+
+    return detections
+
+
+def post_process_yolo(output: list[np.ndarray], width: int, height: int) -> np.ndarray:
+    if len(output) > 1:
+        return __post_process_multipart_yolo(output, width, height)
+    else:
+        return __post_process_nms_yolo(output[0], width, height)
+
+
+def post_process_yolox(
+    predictions: np.ndarray,
+    width: int,
+    height: int,
+    grids: np.ndarray,
+    expanded_strides: np.ndarray,
+) -> np.ndarray:
+    predictions[..., :2] = (predictions[..., :2] + grids) * expanded_strides
+    predictions[..., 2:4] = np.exp(predictions[..., 2:4]) * expanded_strides
+
+    # process organized predictions
+    predictions = predictions[0]
+    boxes = predictions[:, :4]
+    scores = predictions[:, 4:5] * predictions[:, 5:]
+
+    boxes_xyxy = np.ones_like(boxes)
+    boxes_xyxy[:, 0] = boxes[:, 0] - boxes[:, 2] / 2
+    boxes_xyxy[:, 1] = boxes[:, 1] - boxes[:, 3] / 2
+    boxes_xyxy[:, 2] = boxes[:, 0] + boxes[:, 2] / 2
+    boxes_xyxy[:, 3] = boxes[:, 1] + boxes[:, 3] / 2
+
+    cls_inds = scores.argmax(1)
+    scores = scores[np.arange(len(cls_inds)), cls_inds]
+
+    indices = cv2.dnn.NMSBoxes(
+        boxes_xyxy, scores, score_threshold=0.4, nms_threshold=0.4
+    )
+
+    detections = np.zeros((20, 6), np.float32)
+    for i, (bbox, confidence, class_id) in enumerate(
+        zip(boxes_xyxy[indices], scores[indices], cls_inds[indices])
+    ):
+        if i == 20:
+            break
+
+        detections[i] = [
+            class_id,
+            confidence,
+            bbox[1] / height,
+            bbox[0] / width,
+            bbox[3] / height,
+            bbox[2] / width,
+        ]
+
+    return detections
+
+
+### ONNX Utilities
+
+
 def get_ort_providers(
     force_cpu: bool = False, device: str = "AUTO", requires_fp16: bool = False
-) -> tuple[list[str], list[dict[str, any]]]:
+) -> tuple[list[str], list[dict[str, Any]]]:
     if force_cpu:
         return (
             ["CPUExecutionProvider"],
@@ -46,7 +314,8 @@ def get_ort_providers(
             # so it is not enabled by default
             if device == "Tensorrt":
                 os.makedirs(
-                    "/config/model_cache/tensorrt/ort/trt-engines", exist_ok=True
+                    os.path.join(MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"),
+                    exist_ok=True,
                 )
                 device_id = 0 if not device.isdigit() else int(device)
                 providers.append(provider)
@@ -57,22 +326,32 @@ def get_ort_providers(
                         and os.environ.get("USE_FP_16", "True") != "False",
                         "trt_timing_cache_enable": True,
                         "trt_engine_cache_enable": True,
-                        "trt_timing_cache_path": "/config/model_cache/tensorrt/ort",
-                        "trt_engine_cache_path": "/config/model_cache/tensorrt/ort/trt-engines",
+                        "trt_timing_cache_path": os.path.join(
+                            MODEL_CACHE_DIR, "tensorrt/ort"
+                        ),
+                        "trt_engine_cache_path": os.path.join(
+                            MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"
+                        ),
                     }
                 )
             else:
                 continue
         elif provider == "OpenVINOExecutionProvider":
-            os.makedirs("/config/model_cache/openvino/ort", exist_ok=True)
+            os.makedirs(os.path.join(MODEL_CACHE_DIR, "openvino/ort"), exist_ok=True)
             providers.append(provider)
             options.append(
                 {
-                    "arena_extend_strategy": "kSameAsRequested",
-                    "cache_dir": "/config/model_cache/openvino/ort",
+                    "cache_dir": os.path.join(MODEL_CACHE_DIR, "openvino/ort"),
                     "device_type": device,
                 }
             )
+        elif provider == "MIGraphXExecutionProvider":
+            # MIGraphX uses more CPU than ROCM, while also being the same speed
+            if device == "MIGraphX":
+                providers.append(provider)
+                options.append({})
+            else:
+                continue
         elif provider == "CPUExecutionProvider":
             providers.append(provider)
             options.append(
@@ -85,66 +364,3 @@ def get_ort_providers(
             options.append({})
 
     return (providers, options)
-
-
-class ONNXModelRunner:
-    """Run onnx models optimally based on available hardware."""
-
-    def __init__(self, model_path: str, device: str, requires_fp16: bool = False):
-        self.model_path = model_path
-        self.ort: ort.InferenceSession = None
-        self.ov: ov.Core = None
-        providers, options = get_ort_providers(device == "CPU", device, requires_fp16)
-        self.interpreter = None
-
-        if "OpenVINOExecutionProvider" in providers:
-            try:
-                # use OpenVINO directly
-                self.type = "ov"
-                self.ov = ov.Core()
-                self.ov.set_property(
-                    {ov.properties.cache_dir: "/config/model_cache/openvino"}
-                )
-                self.interpreter = self.ov.compile_model(
-                    model=model_path, device_name=device
-                )
-            except Exception as e:
-                logger.warning(
-                    f"OpenVINO failed to build model, using CPU instead: {e}"
-                )
-                self.interpreter = None
-
-        # Use ONNXRuntime
-        if self.interpreter is None:
-            self.type = "ort"
-            self.ort = ort.InferenceSession(
-                model_path,
-                providers=providers,
-                provider_options=options,
-            )
-
-    def get_input_names(self) -> list[str]:
-        if self.type == "ov":
-            input_names = []
-
-            for input in self.interpreter.inputs:
-                input_names.extend(input.names)
-
-            return input_names
-        elif self.type == "ort":
-            return [input.name for input in self.ort.get_inputs()]
-
-    def run(self, input: dict[str, Any]) -> Any:
-        if self.type == "ov":
-            infer_request = self.interpreter.create_infer_request()
-            input_tensor = list(input.values())
-
-            if len(input_tensor) == 1:
-                input_tensor = ov.Tensor(array=input_tensor[0])
-            else:
-                input_tensor = ov.Tensor(array=input_tensor)
-
-            infer_request.infer(input_tensor)
-            return [infer_request.get_output_tensor().data]
-        elif self.type == "ort":
-            return self.ort.run(None, input)
diff --git a/frigate/util/object.py b/frigate/util/object.py
index da0a54279..d9a8c2f71 100644
--- a/frigate/util/object.py
+++ b/frigate/util/object.py
@@ -4,6 +4,7 @@ import datetime
 import logging
 import math
 from collections import defaultdict
+from typing import Any
 
 import cv2
 import numpy as np
@@ -38,7 +39,7 @@ def get_camera_regions_grid(
     name: str,
     detect: DetectConfig,
     min_region_size: int,
-) -> list[list[dict[str, any]]]:
+) -> list[list[dict[str, Any]]]:
     """Build a grid of expected region sizes for a camera."""
     # get grid from db if available
     try:
@@ -163,10 +164,10 @@ def get_cluster_region_from_grid(frame_shape, min_region, cluster, boxes, region
 
 
 def get_region_from_grid(
-    frame_shape: tuple[int],
+    frame_shape: tuple[int, int],
     cluster: list[int],
     min_region: int,
-    region_grid: list[list[dict[str, any]]],
+    region_grid: list[list[dict[str, Any]]],
 ) -> list[int]:
     """Get a region for a box based on the region grid."""
     box = calculate_region(
@@ -446,9 +447,9 @@ def get_cluster_region(frame_shape, min_region, cluster, boxes):
 
 
 def get_startup_regions(
-    frame_shape: tuple[int],
+    frame_shape: tuple[int, int],
     region_min_size: int,
-    region_grid: list[list[dict[str, any]]],
+    region_grid: list[list[dict[str, Any]]],
 ) -> list[list[int]]:
     """Get a list of regions to run on startup."""
     # return 8 most popular regions for the camera
@@ -480,12 +481,12 @@ def get_startup_regions(
 
 
 def reduce_detections(
-    frame_shape: tuple[int],
-    all_detections: list[tuple[any]],
-) -> list[tuple[any]]:
+    frame_shape: tuple[int, int],
+    all_detections: list[tuple[Any]],
+) -> list[tuple[Any]]:
     """Take a list of detections and reduce overlaps to create a list of confident detections."""
 
-    def reduce_overlapping_detections(detections: list[tuple[any]]) -> list[tuple[any]]:
+    def reduce_overlapping_detections(detections: list[tuple[Any]]) -> list[tuple[Any]]:
         """apply non-maxima suppression to suppress weak, overlapping bounding boxes."""
         detected_object_groups = defaultdict(lambda: [])
         for detection in detections:
@@ -524,7 +525,7 @@ def reduce_detections(
         # set the detections list to only include top objects
         return selected_objects
 
-    def get_consolidated_object_detections(detections: list[tuple[any]]):
+    def get_consolidated_object_detections(detections: list[tuple[Any]]):
         """Drop detections that overlap too much."""
         detected_object_groups = defaultdict(lambda: [])
         for detection in detections:
diff --git a/frigate/util/path.py b/frigate/util/path.py
new file mode 100644
index 000000000..565f5a357
--- /dev/null
+++ b/frigate/util/path.py
@@ -0,0 +1,59 @@
+"""Path utilities."""
+
+import base64
+import os
+from pathlib import Path
+
+import cv2
+from numpy import ndarray
+
+from frigate.const import CLIPS_DIR, THUMB_DIR
+from frigate.models import Event
+
+
+def get_event_thumbnail_bytes(event: Event) -> bytes | None:
+    if event.thumbnail:
+        return base64.b64decode(event.thumbnail)
+    else:
+        try:
+            with open(
+                os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp"), "rb"
+            ) as f:
+                return f.read()
+        except Exception:
+            return None
+
+
+def get_event_snapshot(event: Event) -> ndarray:
+    media_name = f"{event.camera}-{event.id}"
+    return cv2.imread(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+
+### Deletion
+
+
+def delete_event_images(event: Event) -> bool:
+    return delete_event_snapshot(event) and delete_event_thumbnail(event)
+
+
+def delete_event_snapshot(event: Event) -> bool:
+    media_name = f"{event.camera}-{event.id}"
+    media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+    try:
+        media_path.unlink(missing_ok=True)
+        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
+        media_path.unlink(missing_ok=True)
+        return True
+    except OSError:
+        return False
+
+
+def delete_event_thumbnail(event: Event) -> bool:
+    if event.thumbnail:
+        return True
+    else:
+        Path(os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp")).unlink(
+            missing_ok=True
+        )
+        return True
diff --git a/frigate/util/services.py b/frigate/util/services.py
index cb573a331..185770eb7 100644
--- a/frigate/util/services.py
+++ b/frigate/util/services.py
@@ -9,7 +9,8 @@ import resource
 import signal
 import subprocess as sp
 import traceback
-from typing import Optional
+from datetime import datetime
+from typing import Any, List, Optional, Tuple
 
 import cv2
 import psutil
@@ -230,7 +231,7 @@ def is_vaapi_amd_driver() -> bool:
         return any("AMD Radeon Graphics" in line for line in output)
 
 
-def get_amd_gpu_stats() -> dict[str, str]:
+def get_amd_gpu_stats() -> Optional[dict[str, str]]:
     """Get stats using radeontop."""
     radeontop_command = ["radeontop", "-d", "-", "-l", "1"]
 
@@ -256,7 +257,7 @@ def get_amd_gpu_stats() -> dict[str, str]:
         return results
 
 
-def get_intel_gpu_stats() -> dict[str, str]:
+def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, str]]:
     """Get stats using intel_gpu_top."""
 
     def get_stats_manually(output: str) -> dict[str, str]:
@@ -303,11 +304,17 @@ def get_intel_gpu_stats() -> dict[str, str]:
         "1",
     ]
 
-    p = sp.run(
-        intel_gpu_top_command,
-        encoding="ascii",
-        capture_output=True,
-    )
+    if intel_gpu_device:
+        intel_gpu_top_command += ["-d", intel_gpu_device]
+
+    try:
+        p = sp.run(
+            intel_gpu_top_command,
+            encoding="ascii",
+            capture_output=True,
+        )
+    except UnicodeDecodeError:
+        return None
 
     # timeout has a non-zero returncode when timeout is reached
     if p.returncode != 124:
@@ -359,7 +366,7 @@ def get_intel_gpu_stats() -> dict[str, str]:
                     if video_frame is not None:
                         video[key].append(float(video_frame))
 
-        if render["global"]:
+        if render["global"] and video["global"]:
             results["gpu"] = (
                 f"{round(((sum(render['global']) / len(render['global'])) + (sum(video['global']) / len(video['global']))) / 2, 2)}%"
             )
@@ -379,6 +386,50 @@ def get_intel_gpu_stats() -> dict[str, str]:
         return results
 
 
+def get_rockchip_gpu_stats() -> Optional[dict[str, str]]:
+    """Get GPU stats using rk."""
+    try:
+        with open("/sys/kernel/debug/rkrga/load", "r") as f:
+            content = f.read()
+    except FileNotFoundError:
+        return None
+
+    load_values = []
+    for line in content.splitlines():
+        match = re.search(r"load = (\d+)%", line)
+        if match:
+            load_values.append(int(match.group(1)))
+
+    if not load_values:
+        return None
+
+    average_load = f"{round(sum(load_values) / len(load_values), 2)}%"
+    return {"gpu": average_load, "mem": "-"}
+
+
+def get_rockchip_npu_stats() -> Optional[dict[str, float | str]]:
+    """Get NPU stats using rk."""
+    try:
+        with open("/sys/kernel/debug/rknpu/load", "r") as f:
+            npu_output = f.read()
+
+            if "Core0:" in npu_output:
+                # multi core NPU
+                core_loads = re.findall(r"Core\d+:\s*(\d+)%", npu_output)
+            else:
+                # single core NPU
+                core_loads = re.findall(r"NPU load:\s+(\d+)%", npu_output)
+    except FileNotFoundError:
+        core_loads = None
+
+    if not core_loads:
+        return None
+
+    percentages = [int(load) for load in core_loads]
+    mean = round(sum(percentages) / len(percentages), 2)
+    return {"npu": mean, "mem": "-"}
+
+
 def try_get_info(f, h, default="N/A"):
     try:
         if h:
@@ -447,7 +498,7 @@ def get_nvidia_gpu_stats() -> dict[int, dict]:
         return results
 
 
-def get_jetson_stats() -> dict[int, dict]:
+def get_jetson_stats() -> Optional[dict[int, dict]]:
     results = {}
 
     try:
@@ -490,7 +541,7 @@ def vainfo_hwaccel(device_name: Optional[str] = None) -> sp.CompletedProcess:
     return sp.run(ffprobe_cmd, capture_output=True)
 
 
-def get_nvidia_driver_info() -> dict[str, any]:
+def get_nvidia_driver_info() -> dict[str, Any]:
     """Get general hardware info for nvidia GPU."""
     results = {}
     try:
@@ -549,8 +600,8 @@ def auto_detect_hwaccel() -> str:
 
 async def get_video_properties(
     ffmpeg, url: str, get_duration: bool = False
-) -> dict[str, any]:
-    async def calculate_duration(video: Optional[any]) -> float:
+) -> dict[str, Any]:
+    async def calculate_duration(video: Optional[Any]) -> float:
         duration = None
 
         if video is not None:
@@ -635,6 +686,74 @@ async def get_video_properties(
     return result
 
 
+def process_logs(
+    contents: str,
+    service: Optional[str] = None,
+    start: Optional[int] = None,
+    end: Optional[int] = None,
+) -> Tuple[int, List[str]]:
+    log_lines = []
+    last_message = None
+    last_timestamp = None
+    repeat_count = 0
+
+    for raw_line in contents.splitlines():
+        clean_line = raw_line.strip()
+
+        if len(clean_line) < 10:
+            continue
+
+        # Handle cases where S6 does not include date in log line
+        if "  " not in clean_line:
+            clean_line = f"{datetime.now()}  {clean_line}"
+
+        try:
+            # Find the position of the first double space to extract timestamp and message
+            date_end = clean_line.index("  ")
+            timestamp = clean_line[:date_end]
+            full_message = clean_line[date_end:].strip()
+
+            # For frigate, remove the date part from message comparison
+            if service == "frigate":
+                # Skip the date at the start of the message if it exists
+                date_parts = full_message.split("]", 1)
+                if len(date_parts) > 1:
+                    message_part = date_parts[1].strip()
+                else:
+                    message_part = full_message
+            else:
+                message_part = full_message
+
+            if message_part == last_message:
+                repeat_count += 1
+                continue
+            else:
+                if repeat_count > 0:
+                    # Insert a deduplication message formatted the same way as logs
+                    dedup_message = f"{last_timestamp}  [LOGGING] Last message repeated {repeat_count} times"
+                    log_lines.append(dedup_message)
+                    repeat_count = 0
+
+                log_lines.append(clean_line)
+                last_timestamp = timestamp
+
+                last_message = message_part
+
+        except ValueError:
+            # If we can't parse the line properly, just add it as is
+            log_lines.append(clean_line)
+            continue
+
+    # If there were repeated messages at the end, log the count
+    if repeat_count > 0:
+        dedup_message = (
+            f"{last_timestamp}  [LOGGING] Last message repeated {repeat_count} times"
+        )
+        log_lines.append(dedup_message)
+
+    return len(log_lines), log_lines[start:end]
+
+
 def set_file_limit() -> None:
     # Newer versions of containerd 2.X+ impose a very low soft file limit of 1024
     # This applies to OSs like HA OS (see https://github.com/home-assistant/operating-system/issues/4110)
@@ -642,10 +761,10 @@ def set_file_limit() -> None:
     soft_limit = int(os.getenv("SOFT_FILE_LIMIT", "65536") or "65536")
 
     current_soft, current_hard = resource.getrlimit(resource.RLIMIT_NOFILE)
-    logger.info(f"Current file limits - Soft: {current_soft}, Hard: {current_hard}")
+    logger.debug(f"Current file limits - Soft: {current_soft}, Hard: {current_hard}")
 
     new_soft = min(soft_limit, current_hard)
     resource.setrlimit(resource.RLIMIT_NOFILE, (new_soft, current_hard))
-    logger.info(
+    logger.debug(
         f"File limit set. New soft limit: {new_soft}, Hard limit remains: {current_hard}"
     )
diff --git a/frigate/util/velocity.py b/frigate/util/velocity.py
new file mode 100644
index 000000000..61f1a0d94
--- /dev/null
+++ b/frigate/util/velocity.py
@@ -0,0 +1,132 @@
+import math
+
+import numpy as np
+
+
+def order_points_clockwise(points):
+    """
+    Ensure points are sorted in clockwise order starting from the top left
+
+    :param points: Array of zone corner points in pixel coordinates
+    :return: Ordered list of points
+    """
+    top_left = min(
+        points, key=lambda p: (p[1], p[0])
+    )  # Find the top-left point (min y, then x)
+
+    # Remove the top-left point from the list of points
+    remaining_points = [p for p in points if not np.array_equal(p, top_left)]
+
+    # Sort the remaining points based on the angle relative to the top-left point
+    def angle_from_top_left(point):
+        x, y = point[0] - top_left[0], point[1] - top_left[1]
+        return math.atan2(y, x)
+
+    sorted_points = sorted(remaining_points, key=angle_from_top_left)
+
+    return [top_left] + sorted_points
+
+
+def create_ground_plane(zone_points, distances):
+    """
+    Create a ground plane that accounts for perspective distortion using real-world dimensions for each side of the zone.
+
+    :param zone_points: Array of zone corner points in pixel coordinates
+                        [[x1, y1], [x2, y2], [x3, y3], [x4, y4]]
+    :param distances: Real-world dimensions ordered by A, B, C, D
+    :return: Function that calculates real-world distance per pixel at any coordinate
+    """
+    A, B, C, D = zone_points
+
+    # Calculate pixel lengths of each side
+    AB_px = np.linalg.norm(np.array(B) - np.array(A))
+    BC_px = np.linalg.norm(np.array(C) - np.array(B))
+    CD_px = np.linalg.norm(np.array(D) - np.array(C))
+    DA_px = np.linalg.norm(np.array(A) - np.array(D))
+
+    AB, BC, CD, DA = map(float, distances)
+
+    AB_scale = AB / AB_px
+    BC_scale = BC / BC_px
+    CD_scale = CD / CD_px
+    DA_scale = DA / DA_px
+
+    def distance_per_pixel(x, y):
+        """
+        Calculate the real-world distance per pixel at a given (x, y) coordinate.
+
+        :param x: X-coordinate in the image
+        :param y: Y-coordinate in the image
+        :return: Real-world distance per pixel at the given (x, y) coordinate
+        """
+
+        # Return 0 if divide by zero would occur
+        if (B[0] - A[0]) == 0 or (D[1] - A[1]) == 0:
+            return 0
+
+        # Normalize x and y within the zone
+        x_norm = (x - A[0]) / (B[0] - A[0])
+        y_norm = (y - A[1]) / (D[1] - A[1])
+
+        # Interpolate scales horizontally and vertically
+        vertical_scale = AB_scale + (CD_scale - AB_scale) * y_norm
+        horizontal_scale = DA_scale + (BC_scale - DA_scale) * x_norm
+
+        # Combine horizontal and vertical scales
+        return (vertical_scale + horizontal_scale) / 2
+
+    return distance_per_pixel
+
+
+def calculate_real_world_speed(
+    zone_contour,
+    distances,
+    velocity_pixels,
+    position,
+    camera_fps,
+):
+    """
+    Calculate the real-world speed of a tracked object, accounting for perspective,
+    directly from the zone string.
+
+    :param zone_contour: Array of absolute zone points
+    :param distances: List of distances of each side, ordered by A, B, C, D
+    :param velocity_pixels: List of tuples representing velocity in pixels/frame
+    :param position: Current position of the object (x, y) in pixels
+    :param camera_fps: Frames per second of the camera
+    :return: speed and velocity angle direction
+    """
+    # order the zone_contour points clockwise starting at top left
+    ordered_zone_contour = order_points_clockwise(zone_contour)
+
+    # find the indices that would sort the original zone_contour to match ordered_zone_contour
+    sort_indices = [
+        np.where((zone_contour == point).all(axis=1))[0][0]
+        for point in ordered_zone_contour
+    ]
+
+    # Reorder distances to match the new order of zone_contour
+    distances = np.array(distances)
+    ordered_distances = distances[sort_indices]
+
+    ground_plane = create_ground_plane(ordered_zone_contour, ordered_distances)
+
+    if not isinstance(velocity_pixels, np.ndarray):
+        velocity_pixels = np.array(velocity_pixels)
+
+    avg_velocity_pixels = velocity_pixels.mean(axis=0)
+
+    # get the real-world distance per pixel at the object's current position and calculate real speed
+    scale = ground_plane(position[0], position[1])
+    speed_real = avg_velocity_pixels * scale * camera_fps
+
+    # euclidean speed in real-world units/second
+    speed_magnitude = np.linalg.norm(speed_real)
+
+    # movement direction
+    dx, dy = avg_velocity_pixels
+    angle = math.degrees(math.atan2(dy, dx))
+    if angle < 0:
+        angle += 360
+
+    return speed_magnitude, angle
diff --git a/frigate/video.py b/frigate/video.py
index 3632a87e9..f2197ed66 100755
--- a/frigate/video.py
+++ b/frigate/video.py
@@ -7,6 +7,9 @@ import signal
 import subprocess as sp
 import threading
 import time
+from multiprocessing import Queue, Value
+from multiprocessing.synchronize import Event as MpEvent
+from typing import Any
 
 import cv2
 from setproctitle import setproctitle
@@ -15,6 +18,7 @@ from frigate.camera import CameraMetrics, PTZMetrics
 from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import CameraConfig, DetectConfig, ModelConfig
+from frigate.config.camera.camera import CameraTypeEnum
 from frigate.const import (
     CACHE_DIR,
     CACHE_SEGMENT_FORMAT,
@@ -23,7 +27,7 @@ from frigate.const import (
 from frigate.log import LogPipe
 from frigate.motion import MotionDetector
 from frigate.motion.improved_motion import ImprovedMotionDetector
-from frigate.object_detection import RemoteObjectDetector
+from frigate.object_detection.base import RemoteObjectDetector
 from frigate.ptz.autotrack import ptz_moving_at_frame_time
 from frigate.track import ObjectTracker
 from frigate.track.norfair_tracker import NorfairTracker
@@ -98,18 +102,32 @@ def capture_frames(
     frame_shape: tuple[int, int],
     frame_manager: FrameManager,
     frame_queue,
-    fps: mp.Value,
-    skipped_fps: mp.Value,
-    current_frame: mp.Value,
-    stop_event: mp.Event,
+    fps: Value,
+    skipped_fps: Value,
+    current_frame: Value,
+    stop_event: MpEvent,
 ):
     frame_size = frame_shape[0] * frame_shape[1]
     frame_rate = EventsPerSecond()
     frame_rate.start()
     skipped_eps = EventsPerSecond()
     skipped_eps.start()
+    config_subscriber = ConfigSubscriber(f"config/enabled/{config.name}", True)
+
+    def get_enabled_state():
+        """Fetch the latest enabled state from ZMQ."""
+        _, config_data = config_subscriber.check_for_update()
+
+        if config_data:
+            config.enabled = config_data.enabled
+
+        return config.enabled
+
+    while not stop_event.is_set():
+        if not get_enabled_state():
+            logger.debug(f"Stopping capture thread for disabled {config.name}")
+            break
 
-    while True:
         fps.value = frame_rate.eps()
         skipped_fps.value = skipped_eps.eps()
         current_frame.value = datetime.datetime.now().timestamp()
@@ -152,7 +170,7 @@ class CameraWatchdog(threading.Thread):
         camera_name,
         config: CameraConfig,
         shm_frame_count: int,
-        frame_queue: mp.Queue,
+        frame_queue: Queue,
         camera_fps,
         skipped_fps,
         ffmpeg_pid,
@@ -166,7 +184,7 @@ class CameraWatchdog(threading.Thread):
         self.capture_thread = None
         self.ffmpeg_detect_process = None
         self.logpipe = LogPipe(f"ffmpeg.{self.camera_name}.detect")
-        self.ffmpeg_other_processes: list[dict[str, any]] = []
+        self.ffmpeg_other_processes: list[dict[str, Any]] = []
         self.camera_fps = camera_fps
         self.skipped_fps = skipped_fps
         self.ffmpeg_pid = ffmpeg_pid
@@ -178,26 +196,66 @@ class CameraWatchdog(threading.Thread):
         self.stop_event = stop_event
         self.sleeptime = self.config.ffmpeg.retry_interval
 
-    def run(self):
+        self.config_subscriber = ConfigSubscriber(f"config/enabled/{camera_name}", True)
+        self.was_enabled = self.config.enabled
+
+    def _update_enabled_state(self) -> bool:
+        """Fetch the latest config and update enabled state."""
+        _, config_data = self.config_subscriber.check_for_update()
+        if config_data:
+            self.config.enabled = config_data.enabled
+            return config_data.enabled
+
+        return self.config.enabled
+
+    def reset_capture_thread(
+        self, terminate: bool = True, drain_output: bool = True
+    ) -> None:
+        if terminate:
+            self.ffmpeg_detect_process.terminate()
+            try:
+                self.logger.info("Waiting for ffmpeg to exit gracefully...")
+
+                if drain_output:
+                    self.ffmpeg_detect_process.communicate(timeout=30)
+                else:
+                    self.ffmpeg_detect_process.wait(timeout=30)
+            except sp.TimeoutExpired:
+                self.logger.info("FFmpeg did not exit. Force killing...")
+                self.ffmpeg_detect_process.kill()
+
+                if drain_output:
+                    self.ffmpeg_detect_process.communicate()
+                else:
+                    self.ffmpeg_detect_process.wait()
+
+        self.logger.error(
+            "The following ffmpeg logs include the last 100 lines prior to exit."
+        )
+        self.logpipe.dump()
+        self.logger.info("Restarting ffmpeg...")
         self.start_ffmpeg_detect()
 
-        for c in self.config.ffmpeg_cmds:
-            if "detect" in c["roles"]:
-                continue
-            logpipe = LogPipe(
-                f"ffmpeg.{self.camera_name}.{'_'.join(sorted(c['roles']))}"
-            )
-            self.ffmpeg_other_processes.append(
-                {
-                    "cmd": c["cmd"],
-                    "roles": c["roles"],
-                    "logpipe": logpipe,
-                    "process": start_or_restart_ffmpeg(c["cmd"], self.logger, logpipe),
-                }
-            )
+    def run(self) -> None:
+        if self._update_enabled_state():
+            self.start_all_ffmpeg()
 
         time.sleep(self.sleeptime)
         while not self.stop_event.wait(self.sleeptime):
+            enabled = self._update_enabled_state()
+            if enabled != self.was_enabled:
+                if enabled:
+                    self.logger.debug(f"Enabling camera {self.camera_name}")
+                    self.start_all_ffmpeg()
+                else:
+                    self.logger.debug(f"Disabling camera {self.camera_name}")
+                    self.stop_all_ffmpeg()
+                self.was_enabled = enabled
+                continue
+
+            if not enabled:
+                continue
+
             now = datetime.datetime.now().timestamp()
 
             if not self.capture_thread.is_alive():
@@ -205,24 +263,7 @@ class CameraWatchdog(threading.Thread):
                 self.logger.error(
                     f"Ffmpeg process crashed unexpectedly for {self.camera_name}."
                 )
-                self.logger.error(
-                    "The following ffmpeg logs include the last 100 lines prior to exit."
-                )
-                self.logpipe.dump()
-                self.start_ffmpeg_detect()
-            elif now - self.capture_thread.current_frame.value > 20:
-                self.camera_fps.value = 0
-                self.logger.info(
-                    f"No frames received from {self.camera_name} in 20 seconds. Exiting ffmpeg..."
-                )
-                self.ffmpeg_detect_process.terminate()
-                try:
-                    self.logger.info("Waiting for ffmpeg to exit gracefully...")
-                    self.ffmpeg_detect_process.communicate(timeout=30)
-                except sp.TimeoutExpired:
-                    self.logger.info("FFmpeg did not exit. Force killing...")
-                    self.ffmpeg_detect_process.kill()
-                    self.ffmpeg_detect_process.communicate()
+                self.reset_capture_thread(terminate=False)
             elif self.camera_fps.value >= (self.config.detect.fps + 10):
                 self.fps_overflow_count += 1
 
@@ -232,14 +273,13 @@ class CameraWatchdog(threading.Thread):
                     self.logger.info(
                         f"{self.camera_name} exceeded fps limit. Exiting ffmpeg..."
                     )
-                    self.ffmpeg_detect_process.terminate()
-                    try:
-                        self.logger.info("Waiting for ffmpeg to exit gracefully...")
-                        self.ffmpeg_detect_process.communicate(timeout=30)
-                    except sp.TimeoutExpired:
-                        self.logger.info("FFmpeg did not exit. Force killing...")
-                        self.ffmpeg_detect_process.kill()
-                        self.ffmpeg_detect_process.communicate()
+                    self.reset_capture_thread(drain_output=False)
+            elif now - self.capture_thread.current_frame.value > 20:
+                self.camera_fps.value = 0
+                self.logger.info(
+                    f"No frames received from {self.camera_name} in 20 seconds. Exiting ffmpeg..."
+                )
+                self.reset_capture_thread()
             else:
                 # process is running normally
                 self.fps_overflow_count = 0
@@ -279,11 +319,9 @@ class CameraWatchdog(threading.Thread):
                     p["cmd"], self.logger, p["logpipe"], ffmpeg_process=p["process"]
                 )
 
-        stop_ffmpeg(self.ffmpeg_detect_process, self.logger)
-        for p in self.ffmpeg_other_processes:
-            stop_ffmpeg(p["process"], self.logger)
-            p["logpipe"].close()
+        self.stop_all_ffmpeg()
         self.logpipe.close()
+        self.config_subscriber.stop()
 
     def start_ffmpeg_detect(self):
         ffmpeg_cmd = [
@@ -306,7 +344,46 @@ class CameraWatchdog(threading.Thread):
         )
         self.capture_thread.start()
 
-    def get_latest_segment_datetime(self, latest_segment: datetime.datetime) -> int:
+    def start_all_ffmpeg(self):
+        """Start all ffmpeg processes (detection and others)."""
+        logger.debug(f"Starting all ffmpeg processes for {self.camera_name}")
+        self.start_ffmpeg_detect()
+        for c in self.config.ffmpeg_cmds:
+            if "detect" in c["roles"]:
+                continue
+            logpipe = LogPipe(
+                f"ffmpeg.{self.camera_name}.{'_'.join(sorted(c['roles']))}"
+            )
+            self.ffmpeg_other_processes.append(
+                {
+                    "cmd": c["cmd"],
+                    "roles": c["roles"],
+                    "logpipe": logpipe,
+                    "process": start_or_restart_ffmpeg(c["cmd"], self.logger, logpipe),
+                }
+            )
+
+    def stop_all_ffmpeg(self):
+        """Stop all ffmpeg processes (detection and others)."""
+        logger.debug(f"Stopping all ffmpeg processes for {self.camera_name}")
+        if self.capture_thread is not None and self.capture_thread.is_alive():
+            self.capture_thread.join(timeout=5)
+            if self.capture_thread.is_alive():
+                self.logger.warning(
+                    f"Capture thread for {self.camera_name} did not stop gracefully."
+                )
+        if self.ffmpeg_detect_process is not None:
+            stop_ffmpeg(self.ffmpeg_detect_process, self.logger)
+            self.ffmpeg_detect_process = None
+        for p in self.ffmpeg_other_processes[:]:
+            if p["process"] is not None:
+                stop_ffmpeg(p["process"], self.logger)
+            p["logpipe"].close()
+        self.ffmpeg_other_processes.clear()
+
+    def get_latest_segment_datetime(
+        self, latest_segment: datetime.datetime
+    ) -> datetime.datetime:
         """Checks if ffmpeg is still writing recording segments to cache."""
         cache_files = sorted(
             [
@@ -340,10 +417,10 @@ class CameraCapture(threading.Thread):
         frame_index: int,
         ffmpeg_process,
         frame_shape: tuple[int, int],
-        frame_queue: mp.Queue,
-        fps,
-        skipped_fps,
-        stop_event,
+        frame_queue: Queue,
+        fps: Value,
+        skipped_fps: Value,
+        stop_event: MpEvent,
     ):
         threading.Thread.__init__(self)
         self.name = f"capture:{config.name}"
@@ -357,7 +434,7 @@ class CameraCapture(threading.Thread):
         self.skipped_fps = skipped_fps
         self.frame_manager = SharedMemoryFrameManager()
         self.ffmpeg_process = ffmpeg_process
-        self.current_frame = mp.Value("d", 0.0)
+        self.current_frame = Value("d", 0.0)
         self.last_frame = 0
 
     def run(self):
@@ -407,14 +484,14 @@ def capture_camera(
 def track_camera(
     name,
     config: CameraConfig,
-    model_config,
-    labelmap,
-    detection_queue,
-    result_connection,
+    model_config: ModelConfig,
+    labelmap: dict[int, str],
+    detection_queue: Queue,
+    result_connection: MpEvent,
     detected_objects_queue,
     camera_metrics: CameraMetrics,
     ptz_metrics: PTZMetrics,
-    region_grid,
+    region_grid: list[list[dict[str, Any]]],
 ):
     stop_event = mp.Event()
 
@@ -435,7 +512,11 @@ def track_camera(
     object_filters = config.objects.filters
 
     motion_detector = ImprovedMotionDetector(
-        frame_shape, config.motion, config.detect.fps, name=config.name
+        frame_shape,
+        config.motion,
+        config.detect.fps,
+        name=config.name,
+        ptz_metrics=ptz_metrics,
     )
     object_detector = RemoteObjectDetector(
         name, labelmap, detection_queue, result_connection, model_config, stop_event
@@ -454,6 +535,7 @@ def track_camera(
         frame_queue,
         frame_shape,
         model_config,
+        config,
         config.detect,
         frame_manager,
         motion_detector,
@@ -481,7 +563,7 @@ def detect(
     detect_config: DetectConfig,
     object_detector,
     frame,
-    model_config,
+    model_config: ModelConfig,
     region,
     objects_to_track,
     object_filters,
@@ -506,14 +588,7 @@ def detect(
         height = y_max - y_min
         area = width * height
         ratio = width / max(1, height)
-        det = (
-            d[0],
-            d[1],
-            (x_min, y_min, x_max, y_max),
-            area,
-            ratio,
-            region,
-        )
+        det = (d[0], d[1], (x_min, y_min, x_max, y_max), area, ratio, region)
         # apply object filters
         if is_object_filtered(det, objects_to_track, object_filters):
             continue
@@ -524,37 +599,95 @@ def detect(
 def process_frames(
     camera_name: str,
     requestor: InterProcessRequestor,
-    frame_queue: mp.Queue,
-    frame_shape,
+    frame_queue: Queue,
+    frame_shape: tuple[int, int],
     model_config: ModelConfig,
+    camera_config: CameraConfig,
     detect_config: DetectConfig,
     frame_manager: FrameManager,
     motion_detector: MotionDetector,
     object_detector: RemoteObjectDetector,
     object_tracker: ObjectTracker,
-    detected_objects_queue: mp.Queue,
+    detected_objects_queue: Queue,
     camera_metrics: CameraMetrics,
     objects_to_track: list[str],
     object_filters,
-    stop_event,
+    stop_event: MpEvent,
     ptz_metrics: PTZMetrics,
-    region_grid,
+    region_grid: list[list[dict[str, Any]]],
     exit_on_empty: bool = False,
 ):
     next_region_update = get_tomorrow_at_time(2)
-    config_subscriber = ConfigSubscriber(f"config/detect/{camera_name}")
+    detect_config_subscriber = ConfigSubscriber(f"config/detect/{camera_name}", True)
+    enabled_config_subscriber = ConfigSubscriber(f"config/enabled/{camera_name}", True)
 
     fps_tracker = EventsPerSecond()
     fps_tracker.start()
 
     startup_scan = True
     stationary_frame_counter = 0
+    camera_enabled = True
 
     region_min_size = get_min_region_size(model_config)
 
+    attributes_map = model_config.attributes_map
+    all_attributes = model_config.all_attributes
+
+    # remove license_plate from attributes if this camera is a dedicated LPR cam
+    if camera_config.type == CameraTypeEnum.lpr:
+        modified_attributes_map = model_config.attributes_map.copy()
+
+        if (
+            "car" in modified_attributes_map
+            and "license_plate" in modified_attributes_map["car"]
+        ):
+            modified_attributes_map["car"] = [
+                attr
+                for attr in modified_attributes_map["car"]
+                if attr != "license_plate"
+            ]
+
+            attributes_map = modified_attributes_map
+
+        all_attributes = [
+            attr for attr in model_config.all_attributes if attr != "license_plate"
+        ]
+
     while not stop_event.is_set():
+        _, updated_enabled_config = enabled_config_subscriber.check_for_update()
+
+        if updated_enabled_config:
+            prev_enabled = camera_enabled
+            camera_enabled = updated_enabled_config.enabled
+
+        if (
+            not camera_enabled
+            and prev_enabled != camera_enabled
+            and camera_metrics.frame_queue.empty()
+        ):
+            logger.debug(f"Camera {camera_name} disabled, clearing tracked objects")
+            prev_enabled = camera_enabled
+
+            # Clear norfair's dictionaries
+            object_tracker.tracked_objects.clear()
+            object_tracker.disappeared.clear()
+            object_tracker.stationary_box_history.clear()
+            object_tracker.positions.clear()
+            object_tracker.track_id_map.clear()
+
+            # Clear internal norfair states
+            for trackers_by_type in object_tracker.trackers.values():
+                for tracker in trackers_by_type.values():
+                    tracker.tracked_objects = []
+            for tracker in object_tracker.default_tracker.values():
+                tracker.tracked_objects = []
+
+        if not camera_enabled:
+            time.sleep(0.1)
+            continue
+
         # check for updated detect config
-        _, updated_detect_config = config_subscriber.check_for_update()
+        _, updated_detect_config = detect_config_subscriber.check_for_update()
 
         if updated_detect_config:
             detect_config = updated_detect_config
@@ -713,9 +846,7 @@ def process_frames(
             # if detection was run on this frame, consolidate
             if len(regions) > 0:
                 tracked_detections = [
-                    d
-                    for d in consolidated_detections
-                    if d[0] not in model_config.all_attributes
+                    d for d in consolidated_detections if d[0] not in all_attributes
                 ]
                 # now that we have refined our detections, we need to track objects
                 object_tracker.match_and_update(
@@ -727,7 +858,7 @@ def process_frames(
 
         # group the attribute detections based on what label they apply to
         attribute_detections: dict[str, list[TrackedObjectAttribute]] = {}
-        for label, attribute_labels in model_config.attributes_map.items():
+        for label, attribute_labels in attributes_map.items():
             attribute_detections[label] = [
                 TrackedObjectAttribute(d)
                 for d in consolidated_detections
@@ -740,12 +871,11 @@ def process_frames(
             detections[obj["id"]] = {**obj, "attributes": []}
 
         # find the best object for each attribute to be assigned to
-        all_objects: list[dict[str, any]] = object_tracker.tracked_objects.values()
+        all_objects: list[dict[str, Any]] = object_tracker.tracked_objects.values()
         for attributes in attribute_detections.values():
             for attribute in attributes:
                 filtered_objects = filter(
-                    lambda o: attribute.label
-                    in model_config.attributes_map.get(o["label"], []),
+                    lambda o: attribute.label in attributes_map.get(o["label"], []),
                     all_objects,
                 )
                 selected_object_id = attribute.find_best_object(filtered_objects)
@@ -793,7 +923,7 @@ def process_frames(
             for obj in object_tracker.tracked_objects.values():
                 if obj["frame_time"] == frame_time:
                     thickness = 2
-                    color = model_config.colormap[obj["label"]]
+                    color = model_config.colormap.get(obj["label"], (255, 255, 255))
                 else:
                     thickness = 1
                     color = (255, 0, 0)
@@ -848,4 +978,5 @@ def process_frames(
 
     motion_detector.stop()
     requestor.stop()
-    config_subscriber.stop()
+    detect_config_subscriber.stop()
+    enabled_config_subscriber.stop()
diff --git a/frigate/watchdog.py b/frigate/watchdog.py
index d7cdec796..4c49de1a0 100644
--- a/frigate/watchdog.py
+++ b/frigate/watchdog.py
@@ -4,7 +4,7 @@ import threading
 import time
 from multiprocessing.synchronize import Event as MpEvent
 
-from frigate.object_detection import ObjectDetectProcess
+from frigate.object_detection.base import ObjectDetectProcess
 from frigate.util.services import restart_frigate
 
 logger = logging.getLogger(__name__)
diff --git a/migrations/028_optional_event_thumbnail.py b/migrations/028_optional_event_thumbnail.py
new file mode 100644
index 000000000..3e36a28cc
--- /dev/null
+++ b/migrations/028_optional_event_thumbnail.py
@@ -0,0 +1,36 @@
+"""Peewee migrations -- 028_optional_event_thumbnail.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['model_name']            # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.drop_index(model, *col_names)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+
+"""
+
+import peewee as pw
+
+from frigate.models import Event
+
+SQL = pw.SQL
+
+
+def migrate(migrator, database, fake=False, **kwargs):
+    migrator.drop_not_null(Event, "thumbnail")
+
+
+def rollback(migrator, database, fake=False, **kwargs):
+    migrator.add_not_null(Event, "thumbnail")
diff --git a/migrations/029_add_user_role.py b/migrations/029_add_user_role.py
new file mode 100644
index 000000000..484e0c548
--- /dev/null
+++ b/migrations/029_add_user_role.py
@@ -0,0 +1,37 @@
+"""Peewee migrations -- 029_add_user_role.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['model_name']            # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.drop_index(model, *col_names)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+
+"""
+
+import peewee as pw
+
+SQL = pw.SQL
+
+
+def migrate(migrator, database, fake=False, **kwargs):
+    migrator.sql(
+        'ALTER TABLE "user" ADD COLUMN "role" VARCHAR(20) NOT NULL DEFAULT \'admin\''
+    )
+    migrator.sql('UPDATE "user" SET "role" = \'admin\' WHERE "role" IS NULL')
+
+
+def rollback(migrator, database, fake=False, **kwargs):
+    migrator.sql('ALTER TABLE "user" DROP COLUMN "role"')
diff --git a/migrations/030_create_user_review_status.py b/migrations/030_create_user_review_status.py
new file mode 100644
index 000000000..17f2b36b9
--- /dev/null
+++ b/migrations/030_create_user_review_status.py
@@ -0,0 +1,87 @@
+"""Peewee migrations -- 030_create_user_review_status.py.
+
+This migration creates the UserReviewStatus table to track per-user review states,
+migrates existing has_been_reviewed data from ReviewSegment to all users in the user table,
+and drops the has_been_reviewed column. Rollback drops UserReviewStatus and restores the column.
+
+Some examples (model - class or model_name)::
+
+    > Model = migrator.orm['model_name']            # Return model in current state by name
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.drop_index(model, *col_names)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+
+"""
+
+import peewee as pw
+
+from frigate.models import User, UserReviewStatus
+
+SQL = pw.SQL
+
+
+def migrate(migrator, database, fake=False, **kwargs):
+    User._meta.database = database
+    UserReviewStatus._meta.database = database
+
+    migrator.sql(
+        """
+        CREATE TABLE IF NOT EXISTS "userreviewstatus" (
+            "id" INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,
+            "user_id" VARCHAR(30) NOT NULL,
+            "review_segment_id" VARCHAR(30) NOT NULL,
+            "has_been_reviewed" INTEGER NOT NULL DEFAULT 0,
+            FOREIGN KEY ("review_segment_id") REFERENCES "reviewsegment" ("id") ON DELETE CASCADE
+        )
+        """
+    )
+
+    # Add unique index on (user_id, review_segment_id)
+    migrator.sql(
+        'CREATE UNIQUE INDEX IF NOT EXISTS "userreviewstatus_user_segment" ON "userreviewstatus" ("user_id", "review_segment_id")'
+    )
+
+    # Migrate existing has_been_reviewed data to UserReviewStatus for all users
+    def migrate_data():
+        all_users = list(User.select())
+        if not all_users:
+            return
+
+        cursor = database.execute_sql(
+            'SELECT "id" FROM "reviewsegment" WHERE "has_been_reviewed" = 1'
+        )
+        reviewed_segment_ids = [row[0] for row in cursor.fetchall()]
+        # also migrate for anonymous (unauthenticated users)
+        usernames = [user.username for user in all_users] + ["anonymous"]
+
+        for segment_id in reviewed_segment_ids:
+            for username in usernames:
+                UserReviewStatus.create(
+                    user_id=username,
+                    review_segment=segment_id,
+                    has_been_reviewed=True,
+                )
+
+    if not fake:  # Only run data migration if not faking
+        migrator.python(migrate_data)
+
+    migrator.sql('ALTER TABLE "reviewsegment" DROP COLUMN "has_been_reviewed"')
+
+
+def rollback(migrator, database, fake=False, **kwargs):
+    migrator.sql('DROP TABLE IF EXISTS "userreviewstatus"')
+    # Restore has_been_reviewed column to reviewsegment (no data restoration)
+    migrator.sql(
+        'ALTER TABLE "reviewsegment" ADD COLUMN "has_been_reviewed" INTEGER NOT NULL DEFAULT 0'
+    )
diff --git a/notebooks/README.md b/notebooks/README.md
new file mode 100644
index 000000000..23afa6e5d
--- /dev/null
+++ b/notebooks/README.md
@@ -0,0 +1,10 @@
+# Notebooks
+
+## YOLO-NAS Pretrained
+
+You can build and download a compatible model with pre-trained weights using [Google Colab](https://colab.research.google.com/github/blakeblackshear/frigate/blob/dev/notebooks/YOLO_NAS_Pretrained_Export.ipynb).
+
+> [!WARNING]  
+> The pre-trained YOLO-NAS weights from DeciAI are subject to their license and can't be used commercially. For more information, see: https://docs.deci.ai/super-gradients/latest/LICENSE.YOLONAS.html
+
+The input image size in this notebook is set to 320x320. This results in lower CPU usage and faster inference times without impacting performance in most cases due to the way Frigate crops video frames to areas of interest before running detection. The notebook and config can be updated to 640x640 if desired. By default, YOLO_NAS_S is built with YOLO_NAS_M and YOLO_NAS_L sizes also being available for export.
\ No newline at end of file
diff --git a/notebooks/YOLO_NAS_Pretrained_Export.ipynb b/notebooks/YOLO_NAS_Pretrained_Export.ipynb
index e4e2222da..4e0439e9e 100644
--- a/notebooks/YOLO_NAS_Pretrained_Export.ipynb
+++ b/notebooks/YOLO_NAS_Pretrained_Export.ipynb
@@ -8,20 +8,20 @@
       },
       "outputs": [],
       "source": [
-        "! pip install -q super_gradients==3.7.1"
+        "! pip install -q git+https://github.com/Deci-AI/super-gradients.git"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.10/dist-packages/super_gradients/training/pretrained_models.py\n",
-        "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.10/dist-packages/super_gradients/training/utils/checkpoint_utils.py"
-      ],
+      "execution_count": null,
       "metadata": {
         "id": "NiRCt917KKcL"
       },
-      "execution_count": null,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.11/dist-packages/super_gradients/training/pretrained_models.py\n",
+        "! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.11/dist-packages/super_gradients/training/utils/checkpoint_utils.py"
+      ]
     },
     {
       "cell_type": "code",
@@ -51,6 +51,7 @@
         "model.export(\"yolo_nas_s.onnx\",\n",
         "             output_predictions_format=DetectionOutputFormatMode.FLAT_FORMAT,\n",
         "             max_predictions_per_image=20,\n",
+        "             num_pre_nms_predictions=300,\n",
         "             confidence_threshold=0.4,\n",
         "             input_image_shape=(320,320),\n",
         "            )"
@@ -84,4 +85,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/process_clip.py b/process_clip.py
index 7ef9f4c75..6f474de68 100644
--- a/process_clip.py
+++ b/process_clip.py
@@ -14,9 +14,9 @@ sys.path.append("/workspace/frigate")
 
 from frigate.config import FrigateConfig  # noqa: E402
 from frigate.motion import MotionDetector  # noqa: E402
-from frigate.object_detection import LocalObjectDetector  # noqa: E402
-from frigate.object_processing import CameraState  # noqa: E402
+from frigate.object_detection.base import LocalObjectDetector  # noqa: E402
 from frigate.track.centroid_tracker import CentroidTracker  # noqa: E402
+from frigate.track.object_processing import CameraState  # noqa: E402
 from frigate.util import (  # noqa: E402
     EventsPerSecond,
     SharedMemoryFrameManager,
diff --git a/pyproject.toml b/pyproject.toml
index a1d5cf00d..d17a60e72 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,3 +1,3 @@
-[tool.ruff]
+[tool.ruff.lint]
 ignore = ["E501","E711","E712"]
-extend-select = ["I"]
\ No newline at end of file
+extend-select = ["I"]
diff --git a/web/components.json b/web/components.json
index 053bbcf62..3f112537b 100644
--- a/web/components.json
+++ b/web/components.json
@@ -11,6 +11,9 @@
   },
   "aliases": {
     "components": "@/components",
-    "utils": "@/lib/utils"
+    "utils": "@/lib/utils",
+    "ui": "@/components/ui",
+    "lib": "@/lib",
+    "hooks": "@/hooks"
   }
-}
\ No newline at end of file
+}
diff --git a/web/package-lock.json b/web/package-lock.json
index 7ce6345af..5d4a4e106 100644
--- a/web/package-lock.json
+++ b/web/package-lock.json
@@ -8,57 +8,63 @@
       "name": "web-new",
       "version": "0.0.0",
       "dependencies": {
-        "@cycjimmy/jsmpeg-player": "^6.1.1",
+        "@cycjimmy/jsmpeg-player": "^6.1.2",
         "@hookform/resolvers": "^3.9.0",
-        "@radix-ui/react-alert-dialog": "^1.1.2",
-        "@radix-ui/react-aspect-ratio": "^1.1.0",
-        "@radix-ui/react-checkbox": "^1.1.2",
-        "@radix-ui/react-context-menu": "^2.2.2",
-        "@radix-ui/react-dialog": "^1.1.2",
-        "@radix-ui/react-dropdown-menu": "^2.1.2",
-        "@radix-ui/react-hover-card": "^1.1.2",
-        "@radix-ui/react-label": "^2.1.0",
-        "@radix-ui/react-popover": "^1.1.2",
-        "@radix-ui/react-radio-group": "^1.2.1",
-        "@radix-ui/react-scroll-area": "^1.2.0",
-        "@radix-ui/react-select": "^2.1.2",
-        "@radix-ui/react-separator": "^1.1.0",
-        "@radix-ui/react-slider": "^1.2.1",
-        "@radix-ui/react-slot": "^1.1.0",
-        "@radix-ui/react-switch": "^1.1.1",
-        "@radix-ui/react-tabs": "^1.1.1",
-        "@radix-ui/react-toggle": "^1.1.0",
-        "@radix-ui/react-toggle-group": "^1.1.0",
-        "@radix-ui/react-tooltip": "^1.1.3",
+        "@melloware/react-logviewer": "^6.1.2",
+        "@radix-ui/react-alert-dialog": "^1.1.6",
+        "@radix-ui/react-aspect-ratio": "^1.1.2",
+        "@radix-ui/react-checkbox": "^1.1.4",
+        "@radix-ui/react-context-menu": "^2.2.6",
+        "@radix-ui/react-dialog": "^1.1.6",
+        "@radix-ui/react-dropdown-menu": "^2.1.6",
+        "@radix-ui/react-hover-card": "^1.1.6",
+        "@radix-ui/react-label": "^2.1.2",
+        "@radix-ui/react-popover": "^1.1.6",
+        "@radix-ui/react-radio-group": "^1.2.3",
+        "@radix-ui/react-scroll-area": "^1.2.3",
+        "@radix-ui/react-select": "^2.1.6",
+        "@radix-ui/react-separator": "^1.1.2",
+        "@radix-ui/react-slider": "^1.2.3",
+        "@radix-ui/react-slot": "^1.2.2",
+        "@radix-ui/react-switch": "^1.1.3",
+        "@radix-ui/react-tabs": "^1.1.3",
+        "@radix-ui/react-toggle": "^1.1.2",
+        "@radix-ui/react-toggle-group": "^1.1.2",
+        "@radix-ui/react-tooltip": "^1.1.8",
         "apexcharts": "^3.52.0",
         "axios": "^1.7.7",
-        "class-variance-authority": "^0.7.0",
+        "class-variance-authority": "^0.7.1",
         "clsx": "^2.1.1",
         "cmdk": "^1.0.0",
         "copy-to-clipboard": "^3.3.3",
         "date-fns": "^3.6.0",
+        "date-fns-tz": "^3.2.0",
         "embla-carousel-react": "^8.2.0",
         "framer-motion": "^11.5.4",
-        "hls.js": "^1.5.17",
+        "hls.js": "^1.5.20",
+        "i18next": "^24.2.0",
+        "i18next-http-backend": "^3.0.1",
         "idb-keyval": "^6.2.1",
         "immer": "^10.1.1",
-        "konva": "^9.3.16",
+        "konva": "^9.3.18",
         "lodash": "^4.17.21",
-        "lucide-react": "^0.407.0",
-        "monaco-yaml": "^5.2.2",
+        "lucide-react": "^0.477.0",
+        "monaco-yaml": "^5.3.1",
         "next-themes": "^0.3.0",
         "nosleep.js": "^0.12.0",
         "react": "^18.3.1",
         "react-apexcharts": "^1.4.1",
-        "react-day-picker": "^8.10.1",
+        "react-day-picker": "^9.7.0",
         "react-device-detect": "^2.2.3",
         "react-dom": "^18.3.1",
-        "react-grid-layout": "^1.4.4",
+        "react-dropzone": "^14.3.8",
+        "react-grid-layout": "^1.5.0",
         "react-hook-form": "^7.52.1",
-        "react-icons": "^5.2.1",
+        "react-i18next": "^15.2.0",
+        "react-icons": "^5.5.0",
         "react-konva": "^18.2.10",
         "react-router-dom": "^6.26.0",
-        "react-swipeable": "^7.0.1",
+        "react-swipeable": "^7.0.2",
         "react-tracked": "^2.0.1",
         "react-transition-group": "^4.4.5",
         "react-use-websocket": "^4.8.1",
@@ -68,7 +74,7 @@
         "sonner": "^1.5.0",
         "sort-by": "^1.2.0",
         "strftime": "^0.10.3",
-        "swr": "^2.2.5",
+        "swr": "^2.3.2",
         "tailwind-merge": "^2.4.0",
         "tailwind-scrollbar": "^3.1.0",
         "tailwindcss-animate": "^1.0.7",
@@ -90,8 +96,8 @@
         "@types/strftime": "^0.9.8",
         "@typescript-eslint/eslint-plugin": "^7.5.0",
         "@typescript-eslint/parser": "^7.5.0",
-        "@vitejs/plugin-react-swc": "^3.7.1",
-        "@vitest/coverage-v8": "^2.0.5",
+        "@vitejs/plugin-react-swc": "^3.8.0",
+        "@vitest/coverage-v8": "^3.0.7",
         "autoprefixer": "^10.4.20",
         "eslint": "^8.57.0",
         "eslint-config-prettier": "^9.1.0",
@@ -108,9 +114,9 @@
         "prettier": "^3.3.3",
         "prettier-plugin-tailwindcss": "^0.6.5",
         "tailwindcss": "^3.4.9",
-        "typescript": "^5.5.4",
-        "vite": "^5.4.0",
-        "vitest": "^2.0.5"
+        "typescript": "^5.8.2",
+        "vite": "^6.2.0",
+        "vitest": "^3.0.7"
       }
     },
     "node_modules/@aashutoshrathi/word-wrap": {
@@ -155,9 +161,9 @@
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.24.7",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.7.tgz",
-      "integrity": "sha512-7MbVt6xrwFQbunH2DNQsAP5sTGxfqQtErvBIvIMi6EQnbgUOuVYanvREcmFrOPhoXBrTtjhhP+lW+o5UfK+tDg==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
+      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -165,9 +171,9 @@
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.24.7",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz",
-      "integrity": "sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
+      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -175,11 +181,14 @@
       }
     },
     "node_modules/@babel/parser": {
-      "version": "7.24.7",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.7.tgz",
-      "integrity": "sha512-9uUYRm6OqQrCqQdG1iCBwBPZgN8ciDBro2nIOFaiRz1/BCxaI7CNvQbDHvsArAC7Tw9Hda/B3U+6ui9u4HWXPw==",
+      "version": "7.26.9",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.9.tgz",
+      "integrity": "sha512-81NWa1njQblgZbQHxWHpxxCzNsa3ZwvFqpUg7P+NNUU6f3UU2jBEg4OlF/J6rl8+PQGh1q6/zWScd001YwcA5A==",
       "dev": true,
       "license": "MIT",
+      "dependencies": {
+        "@babel/types": "^7.26.9"
+      },
       "bin": {
         "parser": "bin/babel-parser.js"
       },
@@ -188,9 +197,10 @@
       }
     },
     "node_modules/@babel/runtime": {
-      "version": "7.24.4",
-      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.4.tgz",
-      "integrity": "sha512-dkxf7+hn8mFBwKjs9bvBlArzLVxVbS8usaPUDd5p2a9JCL9tB8OaOVN1isD4+Xyk4ns89/xeOmbQvgdK7IIVdA==",
+      "version": "7.26.0",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.0.tgz",
+      "integrity": "sha512-FDSOghenHTiToteC/QRlv2q3DhPZ/oOXTBoirfWNx1Cx3TMVcGWQtMMmQcSvb/JjpNeGzx8Pq/b4fKEJuWm1sw==",
+      "license": "MIT",
       "dependencies": {
         "regenerator-runtime": "^0.14.0"
       },
@@ -199,33 +209,37 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.24.7",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.7.tgz",
-      "integrity": "sha512-XEFXSlxiG5td2EJRe8vOmRbaXVgfcBlszKujvVmWIK/UpywWljQCfzAv3RQCGujWQ1RD4YYWEAqDXfuJiy8f5Q==",
+      "version": "7.26.9",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.9.tgz",
+      "integrity": "sha512-Y3IR1cRnOxOCDvMmNiym7XpXQ93iGDDPHx+Zj+NM+rg0fBaShfQLkg+hKPaZCEvg5N/LeCo4+Rj/i3FuJsIQaw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.24.7",
-        "@babel/helper-validator-identifier": "^7.24.7",
-        "to-fast-properties": "^2.0.0"
+        "@babel/helper-string-parser": "^7.25.9",
+        "@babel/helper-validator-identifier": "^7.25.9"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@bcoe/v8-coverage": {
-      "version": "0.2.3",
-      "resolved": "https://registry.npmjs.org/@bcoe/v8-coverage/-/v8-coverage-0.2.3.tgz",
-      "integrity": "sha512-0hYQ8SB4Db5zvZB4axdMHGwEaQjkZzFjQiN9LVYvIFB2nSUHW9tYpxWriPrWDASIxiaXax83REcLxuSdnGPZtw==",
-      "dev": true
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/@bcoe/v8-coverage/-/v8-coverage-1.0.2.tgz",
+      "integrity": "sha512-6zABk/ECA/QYSCQ1NGiVwwbQerUCZ+TQbp64Q3AgmfNvurHH0j8TtXa1qbShXA6qqkpAj4V5W8pP6mLe1mcMqA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      }
     },
     "node_modules/@bundled-es-modules/cookie": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/@bundled-es-modules/cookie/-/cookie-2.0.0.tgz",
-      "integrity": "sha512-Or6YHg/kamKHpxULAdSqhGqnWFneIXu1NKvvfBBzKGwpVsYuFIQ5aBPHDnnoR3ghW1nvSkALd+EF9iMtY7Vjxw==",
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/@bundled-es-modules/cookie/-/cookie-2.0.1.tgz",
+      "integrity": "sha512-8o+5fRPLNbjbdGRRmJj3h6Hh1AQJf2dk3qQ/5ZFb+PXkRNiSoMGGUKlsgLfrxneb72axVJyIYji64E2+nNfYyw==",
       "dev": true,
+      "license": "ISC",
       "dependencies": {
-        "cookie": "^0.5.0"
+        "cookie": "^0.7.2"
       }
     },
     "node_modules/@bundled-es-modules/statuses": {
@@ -249,15 +263,21 @@
       }
     },
     "node_modules/@cycjimmy/jsmpeg-player": {
-      "version": "6.1.1",
-      "resolved": "https://registry.npmjs.org/@cycjimmy/jsmpeg-player/-/jsmpeg-player-6.1.1.tgz",
-      "integrity": "sha512-YqT7U/3LxGu+6ikd+GGPe3rA2o6P4xrBHsWi/WRqv4n58h91fWDxS/3smneod+u6H2RnWlmXvZqx960dQ9T9gQ==",
+      "version": "6.1.2",
+      "resolved": "https://registry.npmjs.org/@cycjimmy/jsmpeg-player/-/jsmpeg-player-6.1.2.tgz",
+      "integrity": "sha512-U9DBDe5fxHmbwQww9rFxMLNI2Wlg7DhPzI7AVFpq8GehiUP7+NwuMPXpP4zAd52sgkxtOqOeMjgE5g0ZLnQZ0w==",
+      "license": "MIT"
+    },
+    "node_modules/@date-fns/tz": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@date-fns/tz/-/tz-1.2.0.tgz",
+      "integrity": "sha512-LBrd7MiJZ9McsOgxqWX7AaxrDjcFVjWH/tIKJd7pnR7McaslGYOP1QmmiBXdJH/H/yLCT+rcQ7FaPBUxRGUtrg==",
       "license": "MIT"
     },
     "node_modules/@esbuild/aix-ppc64": {
-      "version": "0.21.5",
-      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz",
-      "integrity": "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ==",
+      "version": "0.25.0",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.0.tgz",
+      "integrity": "sha512-O7vun9Sf8DFjH2UtqK8Ku3LkquL9SZL8OLY1T5NZkA34+wG3OQF7cl4Ql8vdNzM6fzBbYfLaiRLIOZ+2FOCgBQ==",
       "cpu": [
         "ppc64"
       ],
@@ -268,13 +288,13 @@
         "aix"
       ],
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/@esbuild/android-arm": {
-      "version": "0.21.5",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.21.5.tgz",
-      "integrity": "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg==",
+      "version": "0.25.0",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.0.tgz",
+      "integrity": "sha512-PTyWCYYiU0+1eJKmw21lWtC+d08JDZPQ5g+kFyxP0V+es6VPPSUhM6zk8iImp2jbV6GwjX4pap0JFbUQN65X1g==",
       "cpu": [
         "arm"
       ],
@@ -285,13 +305,13 @@
         "android"
       ],
       "engines": {
-        "node": ">=12"
+        "node": ">=18"
       }
     },
     "node_modules/@esbuild/android-arm64": {
-      "version": "0.21.5",
-      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.21.5.tgz",
-      "integrity": "sha512-c0uX9VAUBQ7dTDCjq+wdyGLowMdtR/GoC2U5IYk/7D1H1JYC0qseD7+11iMP2mRLN9RcCMRcjC4YMclCzGwS/A==",
+      "version": "0.25.0",
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+        "@types/react": "*",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc"
       },
       "peerDependenciesMeta": {
         "@types/react": {
@@ -8720,9 +8970,9 @@
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-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.2.tgz",
-      "integrity": "sha512-epTbsLuzZ7lPClpz2TyryBfztm7m+28DlEv2ZCQ3MDr5ssiwyOwGH/e5F9CkfWjJ1t4clvI58yF822/GUkjjhw==",
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/use-sidecar/-/use-sidecar-1.1.3.tgz",
+      "integrity": "sha512-Fedw0aZvkhynoPYlA5WXrMCAMm+nSWdZt6lzJQ7Ok8S6Q+VsHmHpRWndVRJ8Be0ZbkfPc5LRYH+5XrzXcEeLRQ==",
       "license": "MIT",
       "dependencies": {
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@@ -8732,8 +8982,8 @@
         "node": ">=10"
       },
       "peerDependencies": {
-        "@types/react": "^16.9.0 || ^17.0.0 || ^18.0.0",
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+        "@types/react": "*",
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc"
       },
       "peerDependenciesMeta": {
         "@types/react": {
@@ -8742,11 +8992,12 @@
       }
     },
     "node_modules/use-sync-external-store": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz",
-      "integrity": "sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==",
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.4.0.tgz",
+      "integrity": "sha512-9WXSPC5fMv61vaupRkCKCxsPxBocVnwakBEkMIHHpkTTg6icbJtg6jzgtLDm4bl3cSHAca52rYWih0k4K3PfHw==",
+      "license": "MIT",
       "peerDependencies": {
-        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
       }
     },
     "node_modules/util-deprecate": {
@@ -8766,22 +9017,52 @@
         "react-dom": "^16.8 || ^17.0 || ^18.0"
       }
     },
+    "node_modules/virtua": {
+      "version": "0.39.3",
+      "resolved": "https://registry.npmjs.org/virtua/-/virtua-0.39.3.tgz",
+      "integrity": "sha512-Ep3aiJXSGPm1UUniThr5mGDfG0upAleP7pqQs5mvvCgM1wPhII1ZKa7eNCWAJRLkC+InpXKokKozyaaj/aMYOQ==",
+      "license": "MIT",
+      "peerDependencies": {
+        "react": ">=16.14.0",
+        "react-dom": ">=16.14.0",
+        "solid-js": ">=1.0",
+        "svelte": ">=5.0",
+        "vue": ">=3.2"
+      },
+      "peerDependenciesMeta": {
+        "react": {
+          "optional": true
+        },
+        "react-dom": {
+          "optional": true
+        },
+        "solid-js": {
+          "optional": true
+        },
+        "svelte": {
+          "optional": true
+        },
+        "vue": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/vite": {
-      "version": "5.4.0",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-5.4.0.tgz",
-      "integrity": "sha512-5xokfMX0PIiwCMCMb9ZJcMyh5wbBun0zUzKib+L65vAZ8GY9ePZMXxFrHbr/Kyll2+LSCY7xtERPpxkBDKngwg==",
+      "version": "6.2.0",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.0.tgz",
+      "integrity": "sha512-7dPxoo+WsT/64rDcwoOjk76XHj+TqNTIvHKcuMQ1k4/SeHDaQt5GFAeLYzrimZrMpn/O6DtdI03WUjdxuPM0oQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "esbuild": "^0.21.3",
-        "postcss": "^8.4.40",
-        "rollup": "^4.13.0"
+        "esbuild": "^0.25.0",
+        "postcss": "^8.5.3",
+        "rollup": "^4.30.1"
       },
       "bin": {
         "vite": "bin/vite.js"
       },
       "engines": {
-        "node": "^18.0.0 || >=20.0.0"
+        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
       },
       "funding": {
         "url": "https://github.com/vitejs/vite?sponsor=1"
@@ -8790,19 +9071,25 @@
         "fsevents": "~2.3.3"
       },
       "peerDependencies": {
-        "@types/node": "^18.0.0 || >=20.0.0",
+        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+        "jiti": ">=1.21.0",
         "less": "*",
         "lightningcss": "^1.21.0",
         "sass": "*",
         "sass-embedded": "*",
         "stylus": "*",
         "sugarss": "*",
-        "terser": "^5.4.0"
+        "terser": "^5.16.0",
+        "tsx": "^4.8.1",
+        "yaml": "^2.4.2"
       },
       "peerDependenciesMeta": {
         "@types/node": {
           "optional": true
         },
+        "jiti": {
+          "optional": true
+        },
         "less": {
           "optional": true
         },
@@ -8823,27 +9110,33 @@
         },
         "terser": {
           "optional": true
+        },
+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
         }
       }
     },
     "node_modules/vite-node": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-2.0.5.tgz",
-      "integrity": "sha512-LdsW4pxj0Ot69FAoXZ1yTnA9bjGohr2yNBU7QKRxpz8ITSkhuDl6h3zS/tvgz4qrNjeRnvrWeXQ8ZF7Um4W00Q==",
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.7.tgz",
+      "integrity": "sha512-2fX0QwX4GkkkpULXdT1Pf4q0tC1i1lFOyseKoonavXUNlQ77KpW2XqBGGNIm/J4Ows4KxgGJzDguYVPKwG/n5A==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "cac": "^6.7.14",
-        "debug": "^4.3.5",
-        "pathe": "^1.1.2",
-        "tinyrainbow": "^1.2.0",
-        "vite": "^5.0.0"
+        "debug": "^4.4.0",
+        "es-module-lexer": "^1.6.0",
+        "pathe": "^2.0.3",
+        "vite": "^5.0.0 || ^6.0.0"
       },
       "bin": {
         "vite-node": "vite-node.mjs"
       },
       "engines": {
-        "node": "^18.0.0 || >=20.0.0"
+        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
       },
       "funding": {
         "url": "https://opencollective.com/vitest"
@@ -8858,46 +9151,48 @@
       }
     },
     "node_modules/vitest": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-2.0.5.tgz",
-      "integrity": "sha512-8GUxONfauuIdeSl5f9GTgVEpg5BTOlplET4WEDaeY2QBiN8wSm68vxN/tb5z405OwppfoCavnwXafiaYBC/xOA==",
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.7.tgz",
+      "integrity": "sha512-IP7gPK3LS3Fvn44x30X1dM9vtawm0aesAa2yBIZ9vQf+qB69NXC5776+Qmcr7ohUXIQuLhk7xQR0aSUIDPqavg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@ampproject/remapping": "^2.3.0",
-        "@vitest/expect": "2.0.5",
-        "@vitest/pretty-format": "^2.0.5",
-        "@vitest/runner": "2.0.5",
-        "@vitest/snapshot": "2.0.5",
-        "@vitest/spy": "2.0.5",
-        "@vitest/utils": "2.0.5",
-        "chai": "^5.1.1",
-        "debug": "^4.3.5",
-        "execa": "^8.0.1",
-        "magic-string": "^0.30.10",
-        "pathe": "^1.1.2",
-        "std-env": "^3.7.0",
-        "tinybench": "^2.8.0",
-        "tinypool": "^1.0.0",
-        "tinyrainbow": "^1.2.0",
-        "vite": "^5.0.0",
-        "vite-node": "2.0.5",
+        "@vitest/expect": "3.0.7",
+        "@vitest/mocker": "3.0.7",
+        "@vitest/pretty-format": "^3.0.7",
+        "@vitest/runner": "3.0.7",
+        "@vitest/snapshot": "3.0.7",
+        "@vitest/spy": "3.0.7",
+        "@vitest/utils": "3.0.7",
+        "chai": "^5.2.0",
+        "debug": "^4.4.0",
+        "expect-type": "^1.1.0",
+        "magic-string": "^0.30.17",
+        "pathe": "^2.0.3",
+        "std-env": "^3.8.0",
+        "tinybench": "^2.9.0",
+        "tinyexec": "^0.3.2",
+        "tinypool": "^1.0.2",
+        "tinyrainbow": "^2.0.0",
+        "vite": "^5.0.0 || ^6.0.0",
+        "vite-node": "3.0.7",
         "why-is-node-running": "^2.3.0"
       },
       "bin": {
         "vitest": "vitest.mjs"
       },
       "engines": {
-        "node": "^18.0.0 || >=20.0.0"
+        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
       },
       "funding": {
         "url": "https://opencollective.com/vitest"
       },
       "peerDependencies": {
         "@edge-runtime/vm": "*",
-        "@types/node": "^18.0.0 || >=20.0.0",
-        "@vitest/browser": "2.0.5",
-        "@vitest/ui": "2.0.5",
+        "@types/debug": "^4.1.12",
+        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+        "@vitest/browser": "3.0.7",
+        "@vitest/ui": "3.0.7",
         "happy-dom": "*",
         "jsdom": "*"
       },
@@ -8905,6 +9200,9 @@
         "@edge-runtime/vm": {
           "optional": true
         },
+        "@types/debug": {
+          "optional": true
+        },
         "@types/node": {
           "optional": true
         },
@@ -8922,6 +9220,42 @@
         }
       }
     },
+    "node_modules/vitest/node_modules/@vitest/mocker": {
+      "version": "3.0.7",
+      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-3.0.7.tgz",
+      "integrity": "sha512-qui+3BLz9Eonx4EAuR/i+QlCX6AUZ35taDQgwGkK/Tw6/WgwodSrjN1X2xf69IA/643ZX5zNKIn2svvtZDrs4w==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@vitest/spy": "3.0.7",
+        "estree-walker": "^3.0.3",
+        "magic-string": "^0.30.17"
+      },
+      "funding": {
+        "url": "https://opencollective.com/vitest"
+      },
+      "peerDependencies": {
+        "msw": "^2.4.9",
+        "vite": "^5.0.0 || ^6.0.0"
+      },
+      "peerDependenciesMeta": {
+        "msw": {
+          "optional": true
+        },
+        "vite": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/void-elements": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/void-elements/-/void-elements-3.1.0.tgz",
+      "integrity": "sha512-Dhxzh5HZuiHQhbvTW9AMetFfBHDMYpo23Uo9btPXgdYP+3T5S+p+jgNy7spra+veYhBP2dCSgxR/i2Y02h5/6w==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/vscode-jsonrpc": {
       "version": "8.2.0",
       "resolved": "https://registry.npmjs.org/vscode-jsonrpc/-/vscode-jsonrpc-8.2.0.tgz",
@@ -9062,6 +9396,7 @@
       "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-6.2.0.tgz",
       "integrity": "sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "ansi-styles": "^4.0.0",
         "string-width": "^4.1.0",
@@ -9142,9 +9477,13 @@
       }
     },
     "node_modules/yaml": {
-      "version": "2.3.4",
-      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.4.tgz",
-      "integrity": "sha512-8aAvwVUSHpfEqTQ4w/KMlf3HcRdt50E5ODIQJBw1fQ5RL34xabzxtUlzTXVqc4rkZsPbvrXKWnABCD7kWSmocA==",
+      "version": "2.7.0",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.7.0.tgz",
+      "integrity": "sha512-+hSoy/QHluxmC9kCIJyL/uyFmLmc+e5CFR5Wa+bpIhIj85LVb9ZH2nVnqrHoSvKogwODv0ClqZkmiSSaIH5LTA==",
+      "license": "ISC",
+      "bin": {
+        "yaml": "bin.mjs"
+      },
       "engines": {
         "node": ">= 14"
       }
@@ -9188,6 +9527,19 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/yoctocolors-cjs": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/yoctocolors-cjs/-/yoctocolors-cjs-2.1.2.tgz",
+      "integrity": "sha512-cYVsTjKl8b+FrnidjibDWskAv7UKOfcwaVZdp/it9n1s9fU3IkgDbhdIRKCW4JDsAlECJY0ytoVPT3sK6kideA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/zod": {
       "version": "3.23.8",
       "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
diff --git a/web/package.json b/web/package.json
index d76e6ad10..907960cc7 100644
--- a/web/package.json
+++ b/web/package.json
@@ -14,57 +14,63 @@
     "coverage": "vitest run --coverage"
   },
   "dependencies": {
-    "@cycjimmy/jsmpeg-player": "^6.1.1",
+    "@cycjimmy/jsmpeg-player": "^6.1.2",
     "@hookform/resolvers": "^3.9.0",
-    "@radix-ui/react-alert-dialog": "^1.1.2",
-    "@radix-ui/react-aspect-ratio": "^1.1.0",
-    "@radix-ui/react-checkbox": "^1.1.2",
-    "@radix-ui/react-context-menu": "^2.2.2",
-    "@radix-ui/react-dialog": "^1.1.2",
-    "@radix-ui/react-dropdown-menu": "^2.1.2",
-    "@radix-ui/react-hover-card": "^1.1.2",
-    "@radix-ui/react-label": "^2.1.0",
-    "@radix-ui/react-popover": "^1.1.2",
-    "@radix-ui/react-radio-group": "^1.2.1",
-    "@radix-ui/react-scroll-area": "^1.2.0",
-    "@radix-ui/react-select": "^2.1.2",
-    "@radix-ui/react-separator": "^1.1.0",
-    "@radix-ui/react-slider": "^1.2.1",
-    "@radix-ui/react-slot": "^1.1.0",
-    "@radix-ui/react-switch": "^1.1.1",
-    "@radix-ui/react-tabs": "^1.1.1",
-    "@radix-ui/react-toggle": "^1.1.0",
-    "@radix-ui/react-toggle-group": "^1.1.0",
-    "@radix-ui/react-tooltip": "^1.1.3",
+    "@melloware/react-logviewer": "^6.1.2",
+    "@radix-ui/react-alert-dialog": "^1.1.6",
+    "@radix-ui/react-aspect-ratio": "^1.1.2",
+    "@radix-ui/react-checkbox": "^1.1.4",
+    "@radix-ui/react-context-menu": "^2.2.6",
+    "@radix-ui/react-dialog": "^1.1.6",
+    "@radix-ui/react-dropdown-menu": "^2.1.6",
+    "@radix-ui/react-hover-card": "^1.1.6",
+    "@radix-ui/react-label": "^2.1.2",
+    "@radix-ui/react-popover": "^1.1.6",
+    "@radix-ui/react-radio-group": "^1.2.3",
+    "@radix-ui/react-scroll-area": "^1.2.3",
+    "@radix-ui/react-select": "^2.1.6",
+    "@radix-ui/react-separator": "^1.1.2",
+    "@radix-ui/react-slider": "^1.2.3",
+    "@radix-ui/react-slot": "^1.2.2",
+    "@radix-ui/react-switch": "^1.1.3",
+    "@radix-ui/react-tabs": "^1.1.3",
+    "@radix-ui/react-toggle": "^1.1.2",
+    "@radix-ui/react-toggle-group": "^1.1.2",
+    "@radix-ui/react-tooltip": "^1.1.8",
     "apexcharts": "^3.52.0",
     "axios": "^1.7.7",
-    "class-variance-authority": "^0.7.0",
+    "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
     "cmdk": "^1.0.0",
     "copy-to-clipboard": "^3.3.3",
     "date-fns": "^3.6.0",
+    "date-fns-tz": "^3.2.0",
     "embla-carousel-react": "^8.2.0",
     "framer-motion": "^11.5.4",
-    "hls.js": "^1.5.17",
+    "hls.js": "^1.5.20",
+    "i18next": "^24.2.0",
+    "i18next-http-backend": "^3.0.1",
     "idb-keyval": "^6.2.1",
     "immer": "^10.1.1",
-    "konva": "^9.3.16",
+    "konva": "^9.3.18",
     "lodash": "^4.17.21",
-    "lucide-react": "^0.407.0",
-    "monaco-yaml": "^5.2.2",
+    "lucide-react": "^0.477.0",
+    "monaco-yaml": "^5.3.1",
     "next-themes": "^0.3.0",
     "nosleep.js": "^0.12.0",
     "react": "^18.3.1",
     "react-apexcharts": "^1.4.1",
-    "react-day-picker": "^8.10.1",
+    "react-day-picker": "^9.7.0",
     "react-device-detect": "^2.2.3",
     "react-dom": "^18.3.1",
-    "react-grid-layout": "^1.4.4",
+    "react-dropzone": "^14.3.8",
+    "react-grid-layout": "^1.5.0",
     "react-hook-form": "^7.52.1",
-    "react-icons": "^5.2.1",
+    "react-i18next": "^15.2.0",
+    "react-icons": "^5.5.0",
     "react-konva": "^18.2.10",
     "react-router-dom": "^6.26.0",
-    "react-swipeable": "^7.0.1",
+    "react-swipeable": "^7.0.2",
     "react-tracked": "^2.0.1",
     "react-transition-group": "^4.4.5",
     "react-use-websocket": "^4.8.1",
@@ -74,7 +80,7 @@
     "sonner": "^1.5.0",
     "sort-by": "^1.2.0",
     "strftime": "^0.10.3",
-    "swr": "^2.2.5",
+    "swr": "^2.3.2",
     "tailwind-merge": "^2.4.0",
     "tailwind-scrollbar": "^3.1.0",
     "tailwindcss-animate": "^1.0.7",
@@ -96,8 +102,8 @@
     "@types/strftime": "^0.9.8",
     "@typescript-eslint/eslint-plugin": "^7.5.0",
     "@typescript-eslint/parser": "^7.5.0",
-    "@vitejs/plugin-react-swc": "^3.7.1",
-    "@vitest/coverage-v8": "^2.0.5",
+    "@vitejs/plugin-react-swc": "^3.8.0",
+    "@vitest/coverage-v8": "^3.0.7",
     "autoprefixer": "^10.4.20",
     "eslint": "^8.57.0",
     "eslint-config-prettier": "^9.1.0",
@@ -114,8 +120,8 @@
     "prettier": "^3.3.3",
     "prettier-plugin-tailwindcss": "^0.6.5",
     "tailwindcss": "^3.4.9",
-    "typescript": "^5.5.4",
-    "vite": "^5.4.0",
-    "vitest": "^2.0.5"
+    "typescript": "^5.8.2",
+    "vite": "^6.2.0",
+    "vitest": "^3.0.7"
   }
 }
diff --git a/web/public/locales/ab/audio.json b/web/public/locales/ab/audio.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/audio.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/common.json b/web/public/locales/ab/common.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/common.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/auth.json b/web/public/locales/ab/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/camera.json b/web/public/locales/ab/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/dialog.json b/web/public/locales/ab/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/filter.json b/web/public/locales/ab/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/icons.json b/web/public/locales/ab/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/input.json b/web/public/locales/ab/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/components/player.json b/web/public/locales/ab/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/objects.json b/web/public/locales/ab/objects.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/objects.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/configEditor.json b/web/public/locales/ab/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/events.json b/web/public/locales/ab/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/explore.json b/web/public/locales/ab/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/exports.json b/web/public/locales/ab/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/faceLibrary.json b/web/public/locales/ab/views/faceLibrary.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/faceLibrary.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/live.json b/web/public/locales/ab/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/recording.json b/web/public/locales/ab/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/search.json b/web/public/locales/ab/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/settings.json b/web/public/locales/ab/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ab/views/system.json b/web/public/locales/ab/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ar/audio.json b/web/public/locales/ar/audio.json
new file mode 100644
index 000000000..5c6d14263
--- /dev/null
+++ b/web/public/locales/ar/audio.json
@@ -0,0 +1,74 @@
+{
+  "bark": "نُبَاح",
+  "snort": "نَفْخَة",
+  "heartbeat": "نَبْض القَلْب",
+  "pets": "حَيَوَانَات أَلِيفَة",
+  "whoop": "هتاف",
+  "humming": "هَمْهَمَة",
+  "chewing": "مَضْغ",
+  "yodeling": "غناء متقلب",
+  "howl": "عُوَاء",
+  "speech": "تحدث",
+  "hiccup": "فُوَاق",
+  "dog": "كَلْب",
+  "yip": "نُبَيْحَة",
+  "babbling": "ثرثرة",
+  "yell": "صراخ",
+  "bellow": "زمجرة",
+  "whispering": "همس",
+  "laughter": "ضحك",
+  "snicker": "ضحكة خفيفه",
+  "crying": "بكاء",
+  "sigh": "تنهد",
+  "singing": "غناء",
+  "choir": "فرقة غناء",
+  "chant": "تَرْنِيم",
+  "mantra": "تَرْنِيمَة",
+  "child_singing": "غِنَاء طِفْل",
+  "synthetic_singing": "غِنَاء اِصْطِنَاعِيّ",
+  "rapping": "رَاب",
+  "groan": "أَنِين",
+  "grunt": "خَنِين",
+  "whistling": "صَفِير",
+  "breathing": "تَنَفُّس",
+  "wheeze": "أَزِيز",
+  "snoring": "شَخِير",
+  "gasp": "شَهْقَة",
+  "pant": "لَهَث",
+  "cough": "سُعَال",
+  "throat_clearing": "تَنْحِيم",
+  "sneeze": "عُطَاس",
+  "sniff": "شَمَّ",
+  "run": "رَكْض",
+  "shuffle": "خَلْط",
+  "footsteps": "خُطُوَات",
+  "biting": "عَضّ",
+  "gargling": "غَرْغَرَة",
+  "stomach_rumble": "قَرْقَرَة المَعِدَة",
+  "burping": "تَجَشُّؤ",
+  "fart": "ضُرَاط",
+  "hands": "أَيْدِي",
+  "finger_snapping": "طَقْطَقَة الأَصَابِع",
+  "clapping": "تَصْفِيق",
+  "heart_murmur": "لَغَط القَلْب",
+  "cheering": "صِيَاح",
+  "applause": "تَصْفِيق",
+  "chatter": "حَدِيث",
+  "crowd": "جُمْهُور",
+  "children_playing": "لَعِب الأَطْفَال",
+  "animal": "حَيَوَان",
+  "bow_wow": "نُبَاح الكَلْب",
+  "growling": "زَمْجَرَ",
+  "whimper_dog": "أَنِين الكَلْب",
+  "cat": "قِطّ",
+  "purr": "خَرْخَرَة",
+  "meow": "مُوَاء",
+  "hiss": "فَحِيح",
+  "caterwaul": "صُرَاخ مُتَوَاصِل",
+  "livestock": "مَاشِيَة",
+  "horse": "حِصَان",
+  "clip_clop": "حَوَافِر الخَيْل",
+  "car": "سيارة",
+  "motorcycle": "دراجة نارية",
+  "bicycle": "دراجة هوائية"
+}
diff --git a/web/public/locales/ar/common.json b/web/public/locales/ar/common.json
new file mode 100644
index 000000000..691643630
--- /dev/null
+++ b/web/public/locales/ar/common.json
@@ -0,0 +1,8 @@
+{
+  "time": {
+    "untilForTime": "حتى {{time}}",
+    "untilForRestart": "حتى يعاد تشغيل فرايجيت.",
+    "untilRestart": "حتى إعادة التشغيل",
+    "ago": "منذ {{timeAgo}}"
+  }
+}
diff --git a/web/public/locales/ar/components/auth.json b/web/public/locales/ar/components/auth.json
new file mode 100644
index 000000000..7ee15b6e2
--- /dev/null
+++ b/web/public/locales/ar/components/auth.json
@@ -0,0 +1,10 @@
+{
+  "form": {
+    "password": "كلمة السر",
+    "user": "أسم المستخدم",
+    "login": "تسجيل الدخول",
+    "errors": {
+      "usernameRequired": "اسم المستخدم مطلوب"
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/camera.json b/web/public/locales/ar/components/camera.json
new file mode 100644
index 000000000..daaddbfac
--- /dev/null
+++ b/web/public/locales/ar/components/camera.json
@@ -0,0 +1,10 @@
+{
+  "group": {
+    "label": "مجموعات الكاميرات",
+    "add": "إضافة مجموعة الكاميرات",
+    "edit": "تعديل مجموعة الكاميرات",
+    "delete": {
+      "label": "حذف مجموعة الكاميرات"
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/dialog.json b/web/public/locales/ar/components/dialog.json
new file mode 100644
index 000000000..2d3372caa
--- /dev/null
+++ b/web/public/locales/ar/components/dialog.json
@@ -0,0 +1,9 @@
+{
+  "restart": {
+    "title": "هل أنت متأكد أنك تريد إعادة تشغيل فرايجيت؟",
+    "button": "إعادة التشغيل",
+    "restarting": {
+      "title": "يتم إعادة تشغيل فرايجيت"
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/filter.json b/web/public/locales/ar/components/filter.json
new file mode 100644
index 000000000..e55bedd66
--- /dev/null
+++ b/web/public/locales/ar/components/filter.json
@@ -0,0 +1,9 @@
+{
+  "filter": "ترشيح",
+  "labels": {
+    "label": "التسميات",
+    "all": {
+      "title": "كل التسميات"
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/icons.json b/web/public/locales/ar/components/icons.json
new file mode 100644
index 000000000..6002ba6ce
--- /dev/null
+++ b/web/public/locales/ar/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "اختر أيقونة",
+    "search": {
+      "placeholder": "ابحث عن أيقونة…"
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/input.json b/web/public/locales/ar/components/input.json
new file mode 100644
index 000000000..f58f8be84
--- /dev/null
+++ b/web/public/locales/ar/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "تحميل الفيديو",
+      "toast": {
+        "success": "تم بدأ تحميل فيديو عنصر المراجعة."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ar/components/player.json b/web/public/locales/ar/components/player.json
new file mode 100644
index 000000000..da1bd4859
--- /dev/null
+++ b/web/public/locales/ar/components/player.json
@@ -0,0 +1,8 @@
+{
+  "noRecordingsFoundForThisTime": "لا يوجد تسجيلات في هذا التوقيت",
+  "noPreviewFound": "لا يوجد معاينة",
+  "noPreviewFoundFor": "لا يوجد معاينة لـ{{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "هل ترغب بإرسال هذه الصوره الى Frigate+؟"
+  }
+}
diff --git a/web/public/locales/ar/objects.json b/web/public/locales/ar/objects.json
new file mode 100644
index 000000000..bf0ac8737
--- /dev/null
+++ b/web/public/locales/ar/objects.json
@@ -0,0 +1,11 @@
+{
+  "dog": "كَلْب",
+  "cat": "قِطّ",
+  "horse": "حِصَان",
+  "animal": "حَيَوَان",
+  "bark": "نُبَاح",
+  "person": "شخص",
+  "bicycle": "دراجة هوائية",
+  "car": "سيارة",
+  "motorcycle": "دراجة نارية"
+}
diff --git a/web/public/locales/ar/views/configEditor.json b/web/public/locales/ar/views/configEditor.json
new file mode 100644
index 000000000..10e9cd739
--- /dev/null
+++ b/web/public/locales/ar/views/configEditor.json
@@ -0,0 +1,6 @@
+{
+  "documentTitle": "محرر الإعدادات - فرايجيت",
+  "configEditor": "محرر الإعدادات",
+  "copyConfig": "نسخ الإعدادات",
+  "saveAndRestart": "حفظ وإعادة تشغيل"
+}
diff --git a/web/public/locales/ar/views/events.json b/web/public/locales/ar/views/events.json
new file mode 100644
index 000000000..74ec7d7f5
--- /dev/null
+++ b/web/public/locales/ar/views/events.json
@@ -0,0 +1,8 @@
+{
+  "detections": "الإكتشافات",
+  "alerts": "الإنذارات",
+  "motion": {
+    "label": "الحركة",
+    "only": "حركة فقط"
+  }
+}
diff --git a/web/public/locales/ar/views/explore.json b/web/public/locales/ar/views/explore.json
new file mode 100644
index 000000000..e430d47d2
--- /dev/null
+++ b/web/public/locales/ar/views/explore.json
@@ -0,0 +1,8 @@
+{
+  "exploreMore": "اكتشف المزيد من أجسام {{label}}",
+  "documentTitle": "اكتشف - فرايجيت",
+  "generativeAI": "ذكاء اصطناعي مولد",
+  "exploreIsUnavailable": {
+    "title": "المتصفح غير متاح"
+  }
+}
diff --git a/web/public/locales/ar/views/exports.json b/web/public/locales/ar/views/exports.json
new file mode 100644
index 000000000..6d0c418d6
--- /dev/null
+++ b/web/public/locales/ar/views/exports.json
@@ -0,0 +1,5 @@
+{
+  "search": "بحث",
+  "noExports": "لا يوجد تصديرات",
+  "documentTitle": "التصدير - فرايجيت"
+}
diff --git a/web/public/locales/ar/views/faceLibrary.json b/web/public/locales/ar/views/faceLibrary.json
new file mode 100644
index 000000000..cb515dde3
--- /dev/null
+++ b/web/public/locales/ar/views/faceLibrary.json
@@ -0,0 +1,10 @@
+{
+  "description": {
+    "addFace": "قم بإضافة مجموعة جديدة لمكتبة الأوجه.",
+    "invalidName": "أسم غير صالح. يجب أن يشمل الأسم فقط على الحروف، الأرقام، المسافات، الفاصلة العليا، الشرطة التحتية، والشرطة الواصلة.",
+    "placeholder": "أدخل أسم لهذه المجموعة"
+  },
+  "details": {
+    "person": "شخص"
+  }
+}
diff --git a/web/public/locales/ar/views/live.json b/web/public/locales/ar/views/live.json
new file mode 100644
index 000000000..242365f65
--- /dev/null
+++ b/web/public/locales/ar/views/live.json
@@ -0,0 +1,8 @@
+{
+  "documentTitle": "بث حي - فرايجيت",
+  "documentTitle.withCamera": "{{camera}} - بث حي - فرايجيت",
+  "lowBandwidthMode": "وضع موفر للبيانات",
+  "twoWayTalk": {
+    "enable": "تفعيل المكالمات ثنائية الاتجاه"
+  }
+}
diff --git a/web/public/locales/ar/views/recording.json b/web/public/locales/ar/views/recording.json
new file mode 100644
index 000000000..d79f0ed87
--- /dev/null
+++ b/web/public/locales/ar/views/recording.json
@@ -0,0 +1,5 @@
+{
+  "filter": "ترشيح",
+  "export": "إرسال",
+  "calendar": "التقويم"
+}
diff --git a/web/public/locales/ar/views/search.json b/web/public/locales/ar/views/search.json
new file mode 100644
index 000000000..3ed3dc2b7
--- /dev/null
+++ b/web/public/locales/ar/views/search.json
@@ -0,0 +1,5 @@
+{
+  "search": "بحث",
+  "savedSearches": "عمليات البحث المحفوظة",
+  "searchFor": "البحث عن {{inputValue}}"
+}
diff --git a/web/public/locales/ar/views/settings.json b/web/public/locales/ar/views/settings.json
new file mode 100644
index 000000000..fb6f81760
--- /dev/null
+++ b/web/public/locales/ar/views/settings.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": {
+    "camera": "إعدادات الكاميرا - فرايجيت",
+    "default": "الإعدادات - فرايجيت",
+    "authentication": "إعدادات المصادقة - فرايجيت"
+  }
+}
diff --git a/web/public/locales/ar/views/system.json b/web/public/locales/ar/views/system.json
new file mode 100644
index 000000000..581494cb1
--- /dev/null
+++ b/web/public/locales/ar/views/system.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": {
+    "cameras": "إحصاءات الكاميرات - فرايجيت",
+    "storage": "إحصاءات التخزين - فرايجيت",
+    "general": "إحصاءات عامة - فرايجيت"
+  }
+}
diff --git a/web/public/locales/bg/audio.json b/web/public/locales/bg/audio.json
new file mode 100644
index 000000000..e59baf850
--- /dev/null
+++ b/web/public/locales/bg/audio.json
@@ -0,0 +1,268 @@
+{
+  "babbling": "Бърборене",
+  "whispering": "Шепнене",
+  "laughter": "Смях",
+  "crying": "Плача",
+  "sigh": "Въздишка",
+  "singing": "Подписвам",
+  "choir": "Хор",
+  "yodeling": "Йоделинг",
+  "mantra": "Мантра",
+  "child_singing": "Дете пее",
+  "rapping": "Рапиране",
+  "humming": "Тананикане",
+  "groan": "Пъшкане",
+  "whistling": "Подсвиркване",
+  "breathing": "Дишане",
+  "snoring": "Хъркане",
+  "cough": "Кашлица",
+  "throat_clearing": "Прокашляне",
+  "sneeze": "Кихане",
+  "sniff": "Подсмърчане",
+  "run": "Бяг",
+  "shuffle": "Разбъркване",
+  "footsteps": "Стъпки",
+  "chewing": "Дъвчене",
+  "biting": "Хапане",
+  "gargling": "Гаргара",
+  "burping": "Оригване",
+  "hiccup": "Хълцане",
+  "fart": "Пръдня",
+  "hands": "Ръце",
+  "finger_snapping": "Щтракане с пръсти",
+  "clapping": "Ръкопляскане",
+  "applause": "Овации",
+  "chatter": "Говорене",
+  "crowd": "Тълпа",
+  "children_playing": "Деца си играят",
+  "animal": "Животно",
+  "pets": "Домашен любимец",
+  "dog": "Куче",
+  "bark": "Лай",
+  "cat": "Котка",
+  "purr": "Мър",
+  "meow": "Мял",
+  "hiss": "Съскане",
+  "livestock": "Добитък",
+  "horse": "Кон",
+  "neigh": "Иииааа",
+  "moo": "Муу",
+  "cowbell": "Хлопка",
+  "pig": "Прасе",
+  "oink": "Грух",
+  "goat": "Коза",
+  "sheep": "Овца",
+  "chicken": "Пиле",
+  "cluck": "Ко-ко",
+  "cock_a_doodle_doo": "Кукуригу",
+  "turkey": "Пуйка",
+  "gobble": "Пулюпулю",
+  "duck": "Патка",
+  "quack": "Ква",
+  "goose": "Гъска",
+  "wild_animals": "Диви животни",
+  "roaring_cats": "Ревящи котки",
+  "roar": "Рев",
+  "bird": "Птица",
+  "pigeon": "Гълъб",
+  "coo": "Гуу",
+  "crow": "Гарван",
+  "caw": "Га",
+  "owl": "Сова",
+  "hoot": "Бухуу",
+  "flapping_wings": "Плясък на крила",
+  "dogs": "Кучета",
+  "rats": "Плъхове",
+  "mouse": "Мишка",
+  "insect": "Насекомо",
+  "cricket": "Щурец",
+  "mosquito": "Комар",
+  "fly": "Муха",
+  "buzz": "Бръм",
+  "frog": "Жаба",
+  "croak": "Квак",
+  "snake": "Змия",
+  "whale_vocalization": "Вик на кит",
+  "music": "Музика",
+  "musical_instrument": "Музикален инструмент",
+  "plucked_string_instrument": "Струнен инструмент",
+  "guitar": "Китара",
+  "electric_guitar": "Електрическа китара",
+  "bass_guitar": "Бас китара",
+  "acoustic_guitar": "Акустична китара",
+  "steel_guitar": "Метална китара",
+  "banjo": "Банджо",
+  "sitar": "Ситар",
+  "mandolin": "Мандолина",
+  "ukulele": "Укулеле",
+  "keyboard": "Клавир",
+  "piano": "Пиано",
+  "electric_piano": "Електрическо пиано",
+  "organ": "Орган",
+  "electronic_organ": "Електрически орган",
+  "hammond_organ": "Хамонд орган",
+  "synthesizer": "Синтезатор",
+  "sampler": "Семплър",
+  "percussion": "Перкуции",
+  "drum_kit": "Сет барабани",
+  "drum_machine": "Дръм машина",
+  "drum": "Барабан",
+  "drum_roll": "Туш",
+  "timpani": "Тимпани",
+  "tabla": "Табла",
+  "cymbal": "Цимбал",
+  "tambourine": "Тамбура",
+  "maraca": "Маракас",
+  "gong": "Гонг",
+  "vibraphone": "Вибрафон",
+  "orchestra": "Оркестър",
+  "brass_instrument": "Брас инструмент",
+  "french_horn": "Валдхорна",
+  "trumpet": "Тромпет",
+  "trombone": "Тромбон",
+  "bowed_string_instrument": "Струнен инструмент с лък",
+  "violin": "Цигулка",
+  "pizzicato": "Пицикато",
+  "cello": "Чело",
+  "double_bass": "Контрабас",
+  "wind_instrument": "Духов инструмент",
+  "flute": "Флейта",
+  "saxophone": "Саксофон",
+  "clarinet": "Кларинет",
+  "harp": "Арфа",
+  "bell": "Камбана",
+  "church_bell": "Църковна камбана",
+  "bicycle_bell": "Вело звънец",
+  "tuning_fork": "Камертон",
+  "harmonica": "Хармоника",
+  "accordion": "Акордеон",
+  "bagpipes": "Гайда",
+  "didgeridoo": "Диджириду",
+  "theremin": "Теремин",
+  "scratching": "Чесане",
+  "pop_music": "Поп музика",
+  "hip_hop_music": "Хип-хоп музика",
+  "beatboxing": "Бийтбокс",
+  "rock_music": "Рок музика",
+  "heavy_metal": "Хеви метъл",
+  "punk_rock": "Пънк рок",
+  "grunge": "Гръндж",
+  "progressive_rock": "Прогресивен рок",
+  "rock_and_roll": "Рок енд рол",
+  "psychedelic_rock": "Психаделичен рок",
+  "rhythm_and_blues": "Ритъм и блуз",
+  "soul_music": "Соул музика",
+  "reggae": "Реге",
+  "country": "Кънтри",
+  "swing_music": "Суинг музика",
+  "bluegrass": "Блуграс",
+  "funk": "Фънк",
+  "folk_music": "Фолк музика",
+  "middle_eastern_music": "Маанета",
+  "jazz": "Джаз",
+  "disco": "Диско",
+  "classical_music": "Класическа музика",
+  "opera": "Опера",
+  "electronic_music": "Електронна музика",
+  "house_music": "Хаус музика",
+  "techno": "Техно",
+  "dubstep": "Дъбстеп",
+  "drum_and_bass": "Дръм и бас",
+  "electronica": "Електроника",
+  "trance_music": "Транс музика",
+  "music_of_latin_america": "Латино музика",
+  "salsa_music": "Салса музика",
+  "flamenco": "Фламенко",
+  "blues": "Блус",
+  "music_for_children": "Детска музика",
+  "a_capella": "Акапела",
+  "music_of_africa": "Африканска музика",
+  "afrobeat": "Афроритъм",
+  "gospel_music": "Госпел",
+  "music_of_asia": "Азиатска музика",
+  "ska": "Ска",
+  "song": "Песен",
+  "background_music": "Фонова музика",
+  "jingle": "Джингъл",
+  "thunderstorm": "Гръмотевична буря",
+  "thunder": "Гръмотевица",
+  "water": "Вода",
+  "rain": "Дъжд",
+  "raindrop": "Дъждовна капка",
+  "stream": "Поток",
+  "waterfall": "Водопад",
+  "ocean": "Океан",
+  "waves": "Вълни",
+  "steam": "Пара",
+  "fire": "Огън",
+  "vehicle": "Превозно средство",
+  "boat": "Лодка",
+  "sailboat": "Ветроходна лодка",
+  "rowboat": "Гребна лодка",
+  "motorboat": "Моторна лодка",
+  "ship": "Кораб",
+  "motor_vehicle": "МПС",
+  "car": "Кола",
+  "car_alarm": "Аларма на кола",
+  "skidding": "Поднасяне",
+  "tire_squeal": "Скърцане на гуми",
+  "car_passing_by": "Преминаваща кола",
+  "race_car": "Състезателна кола",
+  "truck": "Камион",
+  "air_brake": "Въздушна спирачка",
+  "air_horn": "Тромба",
+  "reversing_beeps": "Звуков сигнал за задна скорост",
+  "ice_cream_truck": "Камион за сладолед",
+  "bus": "Автобус",
+  "police_car": "Полицейска кола",
+  "ambulance": "Линейка",
+  "fire_engine": "Пожарна кола",
+  "motorcycle": "Мотоциклет",
+  "traffic_noise": "Шум от трафик",
+  "rail_transport": "Железопътен транспорт",
+  "train": "Влак",
+  "train_whistle": "Влакова свирка",
+  "train_horn": "Влаков клаксон",
+  "railroad_car": "Вагон",
+  "train_wheels_squealing": "Скърцане на ЖП спирачки",
+  "subway": "Метро",
+  "aircraft": "Самолет",
+  "aircraft_engine": "Самолетен двигател",
+  "jet_engine": "Реактивен двигател",
+  "propeller": "Витло",
+  "helicopter": "Хеликоптер",
+  "fixed-wing_aircraft": "Самолет с твърди крила",
+  "bicycle": "Велосипед",
+  "skateboard": "Скейтборд",
+  "engine": "Двигател",
+  "dental_drill's_drill": "Зълболекарско борче",
+  "lawn_mower": "Косачка",
+  "chainsaw": "Моторен трион",
+  "engine_starting": "Стартиране на двигател",
+  "idling": "Празен ход",
+  "accelerating": "Ускорение",
+  "door": "Врата",
+  "doorbell": "Звънец",
+  "ding-dong": "Динг-донг",
+  "sliding_door": "Плъзгаща врата",
+  "slam": "Затръшване",
+  "knock": "Чук",
+  "tap": "Почукване",
+  "squeak": "Скръц",
+  "drawer_open_or_close": "Чекмедже отвори или затвори",
+  "dishes": "Чинии",
+  "cutlery": "Прибори за хранене",
+  "chopping": "Рязане",
+  "frying": "Пържене",
+  "microwave_oven": "Микровълнова фурна",
+  "blender": "Блендер",
+  "water_tap": "Кран за вода",
+  "speech": "Реч",
+  "yell": "Викане",
+  "bellow": "Под",
+  "whoop": "Уупс",
+  "pant": "Здъхване",
+  "stomach_rumble": "Къркорене на стомах",
+  "heartbeat": "Сърцебиене",
+  "scream": "Вик"
+}
diff --git a/web/public/locales/bg/common.json b/web/public/locales/bg/common.json
new file mode 100644
index 000000000..8c5519885
--- /dev/null
+++ b/web/public/locales/bg/common.json
@@ -0,0 +1,110 @@
+{
+  "time": {
+    "today": "Днес",
+    "yesterday": "Вчера",
+    "month_one": "{{time}} месец",
+    "month_other": "{{time}} месеца",
+    "day_one": "{{time}} ден",
+    "day_other": "{{time}} дни",
+    "hour_one": "{{time}} час",
+    "hour_other": "{{time}} часа",
+    "minute_one": "{{time}} минута",
+    "minute_other": "{{time}} минути",
+    "second_one": "{{time}} секунда",
+    "second_other": "{{time}} секунди",
+    "year_one": "{{time}} година",
+    "year_other": "{{time}} години",
+    "justNow": "Сега",
+    "last7": "Изминалите 7 дни",
+    "last14": "Изминалите 14 дни",
+    "last30": "Изминалите 30 дни",
+    "thisWeek": "Тази седмица",
+    "lastWeek": "Предходната седмица",
+    "thisMonth": "Този месец",
+    "lastMonth": "Предходния месец",
+    "5minutes": "5 минути",
+    "10minutes": "10 минути",
+    "30minutes": "30 минути",
+    "1hour": "1 час",
+    "12hours": "12 часа",
+    "24hours": "24 часа",
+    "pm": "pm",
+    "am": "am",
+    "yr": "г",
+    "d": "{{time}}д",
+    "h": "{{time}}ч",
+    "formattedTimestamp": {
+      "12hour": "МММ д, ч:мм:сс ааа",
+      "24hour": "МММ д, ЧЧ:мм:сс"
+    },
+    "formattedTimestamp2": {
+      "12hour": "ММ/дд ч:мм:сса",
+      "24hour": "д МММ ЧЧ:мм:сс"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "ч:мм ааа",
+      "24hour": "ЧЧ:мм"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "ч:мм:сс ааа",
+      "24hour": "ЧЧ:мм:сс"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "МММ д, ч:мм ааа",
+      "24hour": "МММ д, ЧЧ:мм"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "МММ д, гггг",
+      "24hour": "МММ д, гггг"
+    }
+  },
+  "button": {
+    "apply": "Приложи",
+    "reset": "Нулиране",
+    "done": "Готово",
+    "disabled": "Деактивирано",
+    "save": "Запази",
+    "saving": "Запазване…",
+    "cancel": "Отказ",
+    "close": "Затвори",
+    "copy": "Копирай",
+    "edit": "Редактирай",
+    "copyCoordinates": "Копирай координати",
+    "delete": "Изтриване",
+    "yes": "Да",
+    "download": "Изтегляне",
+    "enabled": "Активирано",
+    "history": "История",
+    "back": "Назад",
+    "fullscreen": "Цял екран",
+    "exitFullscreen": "Излез от цял екран",
+    "pictureInPicture": "Картина в картина",
+    "twoWayTalk": "Двупосочни разговори",
+    "cameraAudio": "Аудио на камерата",
+    "on": "Включено",
+    "off": "Изключено",
+    "no": "Не",
+    "info": "Информация",
+    "suspended": "Спряно",
+    "unsuspended": "Възобновяване",
+    "play": "Пускане",
+    "unselect": "Демаркиране",
+    "export": "Експортиране",
+    "deleteNow": "Изтрии сега",
+    "next": "Следващ",
+    "disable": "Деактивирай",
+    "enable": "Активирай"
+  },
+  "menu": {
+    "live": {
+      "title": "Наживо",
+      "cameras": {
+        "count_one": "{{count}} камера",
+        "count_other": "{{count}} камери"
+      }
+    }
+  },
+  "label": {
+    "back": "Върни се"
+  }
+}
diff --git a/web/public/locales/bg/components/auth.json b/web/public/locales/bg/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/bg/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/bg/components/camera.json b/web/public/locales/bg/components/camera.json
new file mode 100644
index 000000000..e95016ad9
--- /dev/null
+++ b/web/public/locales/bg/components/camera.json
@@ -0,0 +1,45 @@
+{
+  "group": {
+    "add": "Добави група за камери",
+    "label": "Групи камери",
+    "edit": "Редактирай група за камери",
+    "delete": {
+      "label": "Изтрий група за камери",
+      "confirm": {
+        "title": "Потвърди изтриването",
+        "desc": "Сигурни ли сте, че искате да изтриете група </em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Име",
+      "placeholder": "Въведете име…",
+      "errorMessage": {
+        "mustLeastCharacters": "Името на групата камери трябва да е поне 2 символа.",
+        "exists": "Групата камери вече съществува.",
+        "nameMustNotPeriod": "Името на групата камери не трябва да съръжа точка.",
+        "invalid": "Невалидно име за група камери."
+      }
+    },
+    "cameras": {
+      "label": "Камери",
+      "desc": "Изберете камери за тази група."
+    },
+    "icon": "Икона",
+    "success": "Група камери ({{name}}) беше записана.",
+    "camera": {
+      "setting": {
+        "stream": "Поток",
+        "placeholder": "Изберете поток",
+        "streamMethod": {
+          "label": "Метод на стийминг",
+          "placeholder": "Избери метод на стрийминг",
+          "method": {
+            "noStreaming": {
+              "label": "Без стрийминг"
+            }
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/bg/components/dialog.json b/web/public/locales/bg/components/dialog.json
new file mode 100644
index 000000000..d58e72203
--- /dev/null
+++ b/web/public/locales/bg/components/dialog.json
@@ -0,0 +1,12 @@
+{
+  "export": {
+    "name": {
+      "placeholder": "Име на експорта"
+    },
+    "time": {
+      "lastHour_one": "Последният час",
+      "lastHour_other": "Последните {{count}} часа"
+    },
+    "select": "Избери"
+  }
+}
diff --git a/web/public/locales/bg/components/filter.json b/web/public/locales/bg/components/filter.json
new file mode 100644
index 000000000..3aa7b61ce
--- /dev/null
+++ b/web/public/locales/bg/components/filter.json
@@ -0,0 +1,34 @@
+{
+  "filter": "Филтър",
+  "cameras": {
+    "all": {
+      "title": "Всички камери",
+      "short": "Камери"
+    }
+  },
+  "logSettings": {
+    "allLogs": "Всички логове"
+  },
+  "subLabels": {
+    "all": "Всички подетикети",
+    "label": "Подетикети"
+  },
+  "labels": {
+    "all": {
+      "title": "Всички етикети",
+      "short": "Етикети"
+    }
+  },
+  "zones": {
+    "all": {
+      "title": "Всички зони",
+      "short": "Зони"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Всички дати",
+      "short": "Дати"
+    }
+  }
+}
diff --git a/web/public/locales/bg/components/icons.json b/web/public/locales/bg/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/bg/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/bg/components/input.json b/web/public/locales/bg/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/bg/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/bg/components/player.json b/web/public/locales/bg/components/player.json
new file mode 100644
index 000000000..39d9699d7
--- /dev/null
+++ b/web/public/locales/bg/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFoundFor": "Не е намерен предварителен преглед за {{cameraName}}",
+  "stats": {
+    "latency": {
+      "short": {
+        "value": "{{seconds}} сек",
+        "title": "Закъснение"
+      },
+      "title": "Закъснение:",
+      "value": "{{seconds}} секунди"
+    },
+    "streamType": {
+      "title": "Тип поток:",
+      "short": "Тип"
+    },
+    "bandwidth": {
+      "title": "Трафик:",
+      "short": "Трафик"
+    },
+    "totalFrames": "Общо кадри:",
+    "droppedFrames": {
+      "title": "Пропуснати кадри:",
+      "short": {
+        "title": "Пропуснати",
+        "value": "{{droppedFrames}} кадри"
+      }
+    },
+    "decodedFrames": "Декодирани кадри:",
+    "droppedFrameRate": "Честота на пропуснатати кадри:"
+  },
+  "streamOffline": {
+    "desc": "Не са получени кадри в потока за <code>разпознаване</code> на {{cameraName}}, проверете лог файловете за грешки",
+    "title": "Потокът е офлайн"
+  },
+  "submitFrigatePlus": {
+    "title": "Да се изпрати ли този кадър към Frigate+?",
+    "submit": "Изпрати"
+  },
+  "noPreviewFound": "Не е намерен предварителен преглед",
+  "noRecordingsFoundForThisTime": "За това време не са намерени записи",
+  "livePlayerRequiredIOSVersion": "За този тип поток на живо се изисква iOS 17.1 или по-нова версия.",
+  "cameraDisabled": "Камерата е изключена",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Успешно изпратен кадър към Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Неуспешно изпратен кадър към Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/bg/objects.json b/web/public/locales/bg/objects.json
new file mode 100644
index 000000000..bb4ad4968
--- /dev/null
+++ b/web/public/locales/bg/objects.json
@@ -0,0 +1,22 @@
+{
+  "animal": "Животно",
+  "dog": "Куче",
+  "bark": "Лай",
+  "cat": "Котка",
+  "horse": "Кон",
+  "goat": "Коза",
+  "sheep": "Овца",
+  "bird": "Птица",
+  "mouse": "Мишка",
+  "keyboard": "Клавир",
+  "vehicle": "Превозно средство",
+  "boat": "Лодка",
+  "car": "Кола",
+  "bus": "Автобус",
+  "motorcycle": "Мотоциклет",
+  "train": "Влак",
+  "bicycle": "Велосипед",
+  "skateboard": "Скейтборд",
+  "door": "Врата",
+  "blender": "Блендер"
+}
diff --git a/web/public/locales/bg/views/configEditor.json b/web/public/locales/bg/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/bg/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/bg/views/events.json b/web/public/locales/bg/views/events.json
new file mode 100644
index 000000000..c355c8bec
--- /dev/null
+++ b/web/public/locales/bg/views/events.json
@@ -0,0 +1,13 @@
+{
+  "timeline.aria": "Избери хронология",
+  "timeline": "Хронология",
+  "calendarFilter": {
+    "last24Hours": "Последните 24 часа"
+  },
+  "events": {
+    "label": "Събития",
+    "aria": "Избери събития",
+    "noFoundForTimePeriod": "Няма намерени събития за този времеви период."
+  },
+  "allCameras": "Всички камери"
+}
diff --git a/web/public/locales/bg/views/explore.json b/web/public/locales/bg/views/explore.json
new file mode 100644
index 000000000..ab04d4746
--- /dev/null
+++ b/web/public/locales/bg/views/explore.json
@@ -0,0 +1,12 @@
+{
+  "details": {
+    "item": {
+      "tips": {
+        "mismatch_one": "{{count}} недостъпен обект беше открит и включен в този елемент за преглед. Тези обекти или не са квалифицирани като предупреждение или откриване, или вече са били изчистени/изтрити.",
+        "mismatch_other": "{{count}} недостъпни обекта бяха открити и включени в този елемент за преглед. Тези обекти или не са квалифицирани като предупреждение или откриване, или вече са били изчистени/изтрити."
+      }
+    }
+  },
+  "trackedObjectsCount_one": "{{count}} проследен обект ",
+  "trackedObjectsCount_other": "{{count}} проследени обекта "
+}
diff --git a/web/public/locales/bg/views/exports.json b/web/public/locales/bg/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/bg/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/bg/views/faceLibrary.json b/web/public/locales/bg/views/faceLibrary.json
new file mode 100644
index 000000000..a461ee3df
--- /dev/null
+++ b/web/public/locales/bg/views/faceLibrary.json
@@ -0,0 +1,14 @@
+{
+  "deleteFaceAttempts": {
+    "desc_one": "Сигурни ли сте, че искате да изтриете {{count}} лице? Това действие не може да бъде отменено.",
+    "desc_other": "Сигурни ли сте, че искате да изтриете {{count}} лица? Това действие не може да бъде отменено."
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "Успешно изтрито {{count}} лице.",
+      "deletedFace_other": "Успешно изтрити {{count}} лица.",
+      "deletedName_one": "{{count}} лице бе изтрито успешно.",
+      "deletedName_other": "{{count}} лица бяха изтрити успешно."
+    }
+  }
+}
diff --git a/web/public/locales/bg/views/live.json b/web/public/locales/bg/views/live.json
new file mode 100644
index 000000000..c1b6ac1dc
--- /dev/null
+++ b/web/public/locales/bg/views/live.json
@@ -0,0 +1,67 @@
+{
+  "stream": {
+    "playInBackground": {
+      "tips": "Активирайте тази опция, за да продължите поточното предаване, когато плейърът е скрит."
+    }
+  },
+  "cameraAudio": {
+    "enable": "Включи звука на камерата",
+    "disable": "Изключи звука на камерата"
+  },
+  "twoWayTalk": {
+    "enable": "Включи двупосочен разговор",
+    "disable": "Изключи двупосочен разговор"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "enable": "Включи кликване за преместване",
+        "disable": "Изключи кликване за преместване"
+      }
+    }
+  },
+  "muteCameras": {
+    "enable": "Заглушаване на всички камери",
+    "disable": "Включване на звука на всички камери"
+  },
+  "recording": {
+    "enable": "Включи запис",
+    "disable": "Изключи запис"
+  },
+  "snapshots": {
+    "enable": "Включи моментни снимки",
+    "disable": "Изключи моментни снимки"
+  },
+  "audioDetect": {
+    "enable": "Включи аудио разпознаване",
+    "disable": "Изключи аудио разпознаване"
+  },
+  "camera": {
+    "enable": "Включи камера",
+    "disable": "Изключи камера"
+  },
+  "detect": {
+    "enable": "Включи разпознаване",
+    "disable": "Изключи разпознаване"
+  },
+  "autotracking": {
+    "enable": "Включи автоматично проследяване",
+    "disable": "Изключи автоматично проследяване"
+  },
+  "streamStats": {
+    "enable": "Показване на статистика на потока",
+    "disable": "Скриване на статистиката на потока"
+  },
+  "manualRecording": {
+    "playInBackground": {
+      "desc": "Активирайте тази опция, за да продължите поточното предаване, когато плейърът е скрит."
+    },
+    "showStats": {
+      "desc": "Активирайте тази опция, за да покажете статистиката на потока като наслагване върху канала на камерата."
+    },
+    "recordDisabledTips": "Тъй като записът е изключен или ограничен в конфигурацията за тази камера, ще бъде запазена само моментна снимка."
+  },
+  "cameraSettings": {
+    "cameraEnabled": "Камерата е включена"
+  }
+}
diff --git a/web/public/locales/bg/views/recording.json b/web/public/locales/bg/views/recording.json
new file mode 100644
index 000000000..e600636d4
--- /dev/null
+++ b/web/public/locales/bg/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Филтър",
+  "export": "Експорт",
+  "calendar": "Календар",
+  "filters": "Филтри",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Не е избран валиден времеви диапазон",
+      "endTimeMustAfterStartTime": "Крайното време трябва да бъде след началеният час"
+    }
+  }
+}
diff --git a/web/public/locales/bg/views/search.json b/web/public/locales/bg/views/search.json
new file mode 100644
index 000000000..8f710c14b
--- /dev/null
+++ b/web/public/locales/bg/views/search.json
@@ -0,0 +1,5 @@
+{
+  "button": {
+    "save": "Запазване на търсенето"
+  }
+}
diff --git a/web/public/locales/bg/views/settings.json b/web/public/locales/bg/views/settings.json
new file mode 100644
index 000000000..830e0ffe8
--- /dev/null
+++ b/web/public/locales/bg/views/settings.json
@@ -0,0 +1,16 @@
+{
+  "masksAndZones": {
+    "motionMasks": {
+      "point_one": "{{count}} точка",
+      "point_other": "{{count}} точки"
+    },
+    "objectMasks": {
+      "point_one": "{{count}} точка",
+      "point_other": "{{count}} точки"
+    },
+    "zones": {
+      "point_one": "{{count}} точка",
+      "point_other": "{{count}} точки"
+    }
+  }
+}
diff --git a/web/public/locales/bg/views/system.json b/web/public/locales/bg/views/system.json
new file mode 100644
index 000000000..39c14cb20
--- /dev/null
+++ b/web/public/locales/bg/views/system.json
@@ -0,0 +1,5 @@
+{
+  "stats": {
+    "healthy": "Системата е изправна"
+  }
+}
diff --git a/web/public/locales/ca/audio.json b/web/public/locales/ca/audio.json
new file mode 100644
index 000000000..1af579479
--- /dev/null
+++ b/web/public/locales/ca/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Parla",
+  "babbling": "Balbuceig",
+  "yell": "Crit",
+  "whispering": "Xiuxiuejant",
+  "laughter": "Riure",
+  "snicker": "Rialleta",
+  "crying": "Plor",
+  "bellow": "Bram",
+  "sigh": "Suspir",
+  "singing": "Cant",
+  "choir": "Cor",
+  "yodeling": "Cant Tirolès",
+  "chant": "Càntic",
+  "mantra": "Mantra",
+  "child_singing": "Cant Infantil",
+  "synthetic_singing": "Cant Sintètic",
+  "rapping": "Rap",
+  "humming": "Taral·leig",
+  "groan": "Gemec",
+  "grunt": "Grunyo",
+  "whistling": "Xiulet",
+  "wheeze": "Sibilància",
+  "snoring": "Ronc",
+  "gasp": "Jadeig",
+  "cat": "Gat",
+  "dog": "Gos",
+  "animal": "Animal",
+  "bark": "Escorça",
+  "horse": "Cavall",
+  "sheep": "Ovella",
+  "goat": "Cabra",
+  "bird": "Ocell",
+  "mouse": "Ratolí",
+  "keyboard": "Teclat",
+  "vehicle": "Vehicle",
+  "boat": "Vaixell",
+  "car": "Cotxe",
+  "motorcycle": "Motocicleta",
+  "bus": "Autobús",
+  "bicycle": "Bicicleta",
+  "train": "Tren",
+  "skateboard": "Monopatí",
+  "door": "Porta",
+  "hair_dryer": "Assecador de cabell",
+  "sink": "Aigüera",
+  "blender": "Batedora",
+  "toothbrush": "Raspall de dents",
+  "scissors": "Tisores",
+  "clock": "Rellotge",
+  "breathing": "Respiració",
+  "fart": "Pet",
+  "stomach_rumble": "Barbolló d'estómac",
+  "hands": "Mans",
+  "burping": "Eructe",
+  "hiccup": "Singlot",
+  "whoop": "Crit d'alegria",
+  "pant": "Esbufec",
+  "snort": "Esbufec nasal",
+  "cough": "Tos",
+  "throat_clearing": "Carraspeig",
+  "sneeze": "Esternut",
+  "sniff": "Fregit nasal",
+  "run": "Córrer",
+  "shuffle": "Passos arrossegats",
+  "footsteps": "Passos",
+  "chewing": "Masticació",
+  "biting": "Mossegada",
+  "gargling": "Gàrgares",
+  "finger_snapping": "Claqueig de dits",
+  "heartbeat": "Batec del cor",
+  "heart_murmur": "Sospit cardíac",
+  "cheering": "Ovacions",
+  "applause": "Aplaudiments",
+  "clapping": "Cop de mans",
+  "chatter": "Xerrameca",
+  "crowd": "Multitud",
+  "children_playing": "Nens jugant",
+  "pets": "Animals de companyia",
+  "camera": "Càmera",
+  "wild_animals": "Animals salvatges",
+  "heavy_engine": "Motor pesat",
+  "wedding_music": "Música de casament",
+  "yip": "Crit agut",
+  "howl": "Udol",
+  "bow_wow": "Lladruc",
+  "growling": "Grunyit",
+  "whimper_dog": "Gemec de gos",
+  "purr": "Ronroneig",
+  "meow": "Miol",
+  "hiss": "Siseig",
+  "caterwaul": "Udol estrident",
+  "livestock": "Bestiar",
+  "clip_clop": "Clip-clop",
+  "neigh": "Relinxo",
+  "cattle": "Bestiar boví",
+  "moo": "Mugir",
+  "cowbell": "Esquellot",
+  "pig": "Porc",
+  "oink": "Oink",
+  "bleat": "Brama",
+  "fowl": "Au de corral",
+  "chicken": "Pollastre",
+  "cluck": "Cloqueig",
+  "cock_a_doodle_doo": "Quiquiriquí",
+  "turkey": "Gall dindi",
+  "gobble": "Gorgoriteig",
+  "duck": "Ànec",
+  "quack": "Quac",
+  "goose": "Oca",
+  "honk": "Cluc-cluc",
+  "roaring_cats": "Gats que rugen",
+  "roar": "Rugit",
+  "chirp": "Piulet",
+  "squawk": "Xerric",
+  "pigeon": "Colom",
+  "coo": "Arruix",
+  "crow": "Corb",
+  "caw": "Cric",
+  "owl": "Mussol",
+  "hoot": "Ulul",
+  "flapping_wings": "Batuda d’ales",
+  "dogs": "Gossos",
+  "rats": "Rates",
+  "patter": "Repic",
+  "insect": "Insecte",
+  "cricket": "Grill",
+  "mosquito": "Mosquit",
+  "fly": "Mosca",
+  "buzz": "Brunzit",
+  "frog": "Granota",
+  "croak": "Grall",
+  "snake": "Serp",
+  "rattle": "Cascavell",
+  "whale_vocalization": "Vocalització de balena",
+  "music": "Música",
+  "musical_instrument": "Instrument musical",
+  "plucked_string_instrument": "Instrument de corda pinçada",
+  "guitar": "Guitarra",
+  "electric_guitar": "Guitarra elèctrica",
+  "bass_guitar": "Baix",
+  "acoustic_guitar": "Guitarra acústica",
+  "steel_guitar": "Guitarra steel",
+  "tapping": "Tapping",
+  "strum": "Rasgueig",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolina",
+  "zither": "Cítara",
+  "ukulele": "Ukulele",
+  "piano": "Piano",
+  "electric_piano": "Piano elèctric",
+  "organ": "Orgue",
+  "electronic_organ": "Orgue electrònic",
+  "hammond_organ": "Orgue Hammond",
+  "synthesizer": "Sintetitzador",
+  "sampler": "Sampler",
+  "harpsichord": "Clavicèmbal",
+  "percussion": "Percussió",
+  "drum_kit": "Bateria",
+  "drum_machine": "Caixa de ritmes",
+  "drum": "Tambor",
+  "snare_drum": "Caixa",
+  "rimshot": "Rimshot",
+  "drum_roll": "Rul·lat de tambor",
+  "bass_drum": "Bombo",
+  "timpani": "Timpà",
+  "tabla": "Tabla",
+  "cymbal": "Plat",
+  "hi_hat": "Charles",
+  "wood_block": "Bloc de fusta",
+  "tambourine": "Pandereta",
+  "maraca": "Maraca",
+  "gong": "Gong",
+  "tubular_bells": "Campanes tubulars",
+  "mallet_percussion": "Percussió amb baquetes",
+  "marimba": "Marimba",
+  "glockenspiel": "Carilló",
+  "vibraphone": "Vibràfon",
+  "steelpan": "Steelpan",
+  "orchestra": "Orquestra",
+  "brass_instrument": "Instrument de metall",
+  "french_horn": "Corn francès",
+  "trumpet": "Trompeta",
+  "trombone": "Trombó",
+  "bowed_string_instrument": "Instrument de corda fregada",
+  "string_section": "Secció de corda",
+  "violin": "Violí",
+  "pizzicato": "Pizzicato",
+  "cello": "Violoncel",
+  "double_bass": "Contrabaix",
+  "wind_instrument": "Instrument de vent",
+  "flute": "Flauta",
+  "saxophone": "Saxòfon",
+  "clarinet": "Clarinet",
+  "harp": "Arpa",
+  "bell": "Campana",
+  "church_bell": "Campana d'església",
+  "jingle_bell": "Campaneta",
+  "bicycle_bell": "Timbre de bicicleta",
+  "tuning_fork": "Diapasó",
+  "chime": "Timbre",
+  "wind_chime": "Campanes de vent",
+  "harmonica": "Harmònica",
+  "accordion": "Acordió",
+  "bagpipes": "Gaites",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Bol tibetà",
+  "scratching": "Esgarrapar",
+  "pop_music": "Música pop",
+  "hip_hop_music": "Música Hip-Hop",
+  "beatboxing": "Beatboxing",
+  "rock_music": "Música rock",
+  "heavy_metal": "Heavy Metal",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "progressive_rock": "Rock progressiu",
+  "rock_and_roll": "Rock and Roll",
+  "psychedelic_rock": "Rock psicodèlic",
+  "rhythm_and_blues": "Rhythm and blues",
+  "soul_music": "Música soul",
+  "reggae": "Reggae",
+  "country": "Country",
+  "swing_music": "Música swing",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Música folk",
+  "middle_eastern_music": "Música d'Orient Mitjà",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Música clàssica",
+  "opera": "Òpera",
+  "electronic_music": "Música electrònica",
+  "house_music": "Música house",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Electrònica",
+  "electronic_dance_music": "Música electrònica de ball",
+  "ambient_music": "Música ambient",
+  "trance_music": "Música trance",
+  "music_of_latin_america": "Música d'Amèrica Llatina",
+  "salsa_music": "Música salsa",
+  "flamenco": "Flamenc",
+  "blues": "Blues",
+  "music_for_children": "Música per a nens",
+  "new-age_music": "Música new age",
+  "vocal_music": "Música vocal",
+  "a_capella": "A capella",
+  "music_of_africa": "Música d'Àfrica",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Música cristiana",
+  "gospel_music": "Música gospel",
+  "music_of_asia": "Música d'Àsia",
+  "carnatic_music": "Música carnàtica",
+  "music_of_bollywood": "Música de bollywood",
+  "ska": "Ska",
+  "traditional_music": "Música tradicional",
+  "independent_music": "Música independent",
+  "song": "Cançó",
+  "background_music": "Música de fons",
+  "theme_music": "Música temàtica",
+  "jingle": "Jingle",
+  "soundtrack_music": "Música de banda sonora",
+  "lullaby": "Lullaby",
+  "video_game_music": "Música de videojocs",
+  "christmas_music": "Música nadalenca",
+  "dance_music": "Música dance",
+  "happy_music": "Música alegre",
+  "sad_music": "Música trista",
+  "tender_music": "Música tendra",
+  "exciting_music": "Música emocionant",
+  "angry_music": "Música enfadada",
+  "scary_music": "Música de por",
+  "wind": "Vent",
+  "wind_noise": "Soroll del vent",
+  "thunderstorm": "Tempesta",
+  "thunder": "Tro",
+  "water": "Aigua",
+  "rain": "Pluja",
+  "raindrop": "Gota de pluja",
+  "rain_on_surface": "Pluja en superfície",
+  "stream": "Rierol",
+  "waterfall": "Cascada",
+  "ocean": "Oceà",
+  "waves": "Ones",
+  "steam": "Vapor",
+  "fire": "Foc",
+  "sailboat": "Veler",
+  "rowboat": "Barca de rems",
+  "ship": "Vaixell",
+  "motor_vehicle": "Vehicle de motor",
+  "car_alarm": "Alarma del cotxe",
+  "car_passing_by": "Cotxe passant",
+  "race_car": "Cotxe de curses",
+  "truck": "Camió",
+  "air_brake": "Fre d'aire",
+  "air_horn": "Bocina d'aire",
+  "ice_cream_truck": "Camió de gelats",
+  "emergency_vehicle": "Vehicle d'emergència",
+  "police_car": "Cotxe de policia",
+  "ambulance": "Ambulància",
+  "fire_engine": "Camió de bombers",
+  "traffic_noise": "Soroll de trànsit",
+  "rail_transport": "Transport ferroviari",
+  "train_whistle": "Xiulet de tren",
+  "train_horn": "Bocina de tren",
+  "railroad_car": "Vagó de tren",
+  "subway": "Metro",
+  "aircraft": "Aeronau",
+  "aircraft_engine": "Motor d'aeronau",
+  "propeller": "Hèlix",
+  "helicopter": "Helicòpter",
+  "fixed-wing_aircraft": "Aeronau d'Ala Fixa",
+  "engine": "Motor",
+  "light_engine": "Motor lleuger",
+  "dental_drill's_drill": "Trepant dental",
+  "lawn_mower": "Talla-gespa",
+  "chainsaw": "Motoserra",
+  "medium_engine": "Motor mitjà",
+  "engine_starting": "Arranc del motor",
+  "idling": "Ralentí",
+  "accelerating": "Accelerant",
+  "doorbell": "Timbre",
+  "ding-dong": "Ding-dong",
+  "sliding_door": "Porta corredissa",
+  "slam": "Cop de porta",
+  "knock": "Toc",
+  "tap": "Toc suau",
+  "squeak": "Grinyol",
+  "cupboard_open_or_close": "Obertura o tancament d'armari",
+  "drawer_open_or_close": "Obertura o tancament de calaix",
+  "dishes": "Plats",
+  "cutlery": "Coberteria",
+  "rustling_leaves": "Sons de fulles",
+  "gurgling": "Borbolleig",
+  "crackle": "Cremoreig",
+  "motorboat": "Llanxa a motor",
+  "toot": "Botzinada",
+  "skidding": "Derrapada",
+  "reversing_beeps": "Bips de marxa enrere",
+  "jet_engine": "Motor a reacció",
+  "train_wheels_squealing": "Xiulet de rodes de tren",
+  "engine_knocking": "Cop de motor",
+  "chopping": "Tallant",
+  "frying": "Fregint",
+  "electric_shaver": "Afeitadora elèctrica",
+  "shuffling_cards": "Barrejar cartes",
+  "alarm": "Alarma",
+  "alarm_clock": "Despertador",
+  "siren": "Sirena",
+  "buzzer": "Brunzidor",
+  "gears": "Engranatges",
+  "pulleys": "Politges",
+  "glass": "Vidre",
+  "chop": "Tall",
+  "splinter": "Astella",
+  "scream": "Crit",
+  "field_recording": "Enregistrament de camp",
+  "tire_squeal": "Xiulet de rodes",
+  "explosion": "Explosió",
+  "wood": "Fusta",
+  "crack": "Esquerda",
+  "air_conditioning": "Aire condicionat",
+  "tick-tock": "Tic-tac",
+  "sewing_machine": "Màquina de cosir",
+  "writing": "Escrivint",
+  "telephone": "Telèfon",
+  "environmental_noise": "Soroll ambiental",
+  "zipper": "Cremallera",
+  "smoke_detector": "Detector de fums",
+  "sound_effect": "Efecte sonor",
+  "microwave_oven": "Forn microones",
+  "water_tap": "Aixeta d'aigua",
+  "toilet_flush": "Cisterna del vàter",
+  "electric_toothbrush": "Raspall de dents elèctric",
+  "vacuum_cleaner": "Aspiradora",
+  "keys_jangling": "Claus repicant",
+  "bathtub": "Banyera",
+  "coin": "Moneda",
+  "typing": "Mecanografia",
+  "computer_keyboard": "Teclat d'ordinador",
+  "telephone_dialing": "Marcatge telefònic",
+  "dial_tone": "To de marcatge",
+  "telephone_bell_ringing": "Timbre del telèfon sonant",
+  "typewriter": "Màquina d'escriure",
+  "ringtone": "To de trucada",
+  "busy_signal": "Senyal d'ocupat",
+  "fire_alarm": "Alarma d'incendis",
+  "civil_defense_siren": "Sirena de defensa civil",
+  "foghorn": "Bocina de boira",
+  "whistle": "Xiulet",
+  "steam_whistle": "Xiulet de vapor",
+  "mechanical_fan": "Ventall mecànic",
+  "cash_register": "Caixa registradora",
+  "single-lens_reflex_camera": "Càmera reflex de lent fixa",
+  "mechanisms": "Mecanismes",
+  "ratchet": "Trinquet",
+  "tick": "Tic",
+  "printer": "Impressora",
+  "tools": "Eines",
+  "hammer": "Martell",
+  "jackhammer": "Martell neumàtic",
+  "sawing": "Serratge",
+  "filing": "Llimar",
+  "sanding": "Poliment",
+  "power_tool": "Eina elèctrica",
+  "machine_gun": "Ametralladora",
+  "cap_gun": "Pistola de joguina",
+  "drill": "Trepant",
+  "gunshot": "Tret",
+  "fusillade": "Ràfega de trets",
+  "fireworks": "Focs artificials",
+  "firecracker": "Petard",
+  "chink": "Clinc",
+  "shatter": "Trencar",
+  "silence": "Silenci",
+  "static": "Estàtic",
+  "white_noise": "Soroll blanc",
+  "burst": "Explosió",
+  "eruption": "Erupció",
+  "boom": "Boom",
+  "television": "Televisió",
+  "radio": "Ràdio",
+  "pink_noise": "Soroll rosa",
+  "power_windows": "Finestres elèctriques",
+  "artillery_fire": "Foc d'artilleria"
+}
diff --git a/web/public/locales/ca/common.json b/web/public/locales/ca/common.json
new file mode 100644
index 000000000..c981fd716
--- /dev/null
+++ b/web/public/locales/ca/common.json
@@ -0,0 +1,265 @@
+{
+  "role": {
+    "title": "Rol",
+    "viewer": "Visualitzador",
+    "admin": "Administrador",
+    "desc": "Els administradors tenen accés complet a totes les característiques de la interfície d'usuari de Frigate. Els visualitzadors es limiten a visualitzar càmeres, articles de revisió i imatges històriques a la interfície d'usuari."
+  },
+  "menu": {
+    "language": {
+      "yue": "粵語 (Cantonès)",
+      "zhCN": "简体中文 (Xinès simplificat)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Francès)",
+      "ar": "العربية (Àrab)",
+      "de": "Deutsch (Alemany)",
+      "sv": "Svenska (Suec)",
+      "cs": "Čeština (Txec)",
+      "nb": "Norsk Bokmål (Noruec Bokmål)",
+      "ko": "한국어 (Coreà)",
+      "vi": "Tiếng Việt (Vietnamita)",
+      "fa": "فارسی (Persa)",
+      "hu": "Magyar (Hongarès)",
+      "fi": "Suomi (Finlandès)",
+      "en": "English (Anglès)",
+      "pt": "Português (Portuguès)",
+      "ja": "日本語 (Japonès)",
+      "es": "Español (Espanyol)",
+      "withSystem": {
+        "label": "Utilitzeu la configuració del sistema per a l'idioma"
+      },
+      "tr": "Türkçe (Turc)",
+      "it": "Italiano (Italià)",
+      "he": "עברית (Hebreu)",
+      "el": "Ελληνικά (Grec)",
+      "ro": "Română (Romanès)",
+      "nl": "Nederlands (Holandès)",
+      "pl": "Polski (Polonès)",
+      "uk": "Українська (Ucraïnès)",
+      "da": "Dansk (Danès)",
+      "sk": "Slovenčina (Eslovac)",
+      "ru": "Русский (Rus)",
+      "th": "ไทย (Tailandès)",
+      "ca": "Català (Catalan)"
+    },
+    "system": "Sistema",
+    "systemMetrics": "Mètriques del sistema",
+    "configuration": "Configuració",
+    "systemLogs": "Registres del sistema",
+    "configurationEditor": "Editor de configuració",
+    "languages": "Idiomes",
+    "settings": "Opcions",
+    "darkMode": {
+      "light": "Clar",
+      "dark": "Fosc",
+      "withSystem": {
+        "label": "Utilitzeu la configuració del sistema per al mode clar o fosc"
+      },
+      "label": "Mode fosc"
+    },
+    "withSystem": "Sistema",
+    "appearance": "Aspecte",
+    "theme": {
+      "blue": "Blau",
+      "green": "Verd",
+      "nord": "Nord",
+      "red": "Vermell",
+      "default": "Per defecte",
+      "highcontrast": "Contrast Alt",
+      "label": "Tema"
+    },
+    "help": "Ajuda",
+    "documentation": {
+      "title": "Documentació",
+      "label": "Documentació de Frigate"
+    },
+    "restart": "Reinicia Frigate",
+    "live": {
+      "title": "Directe",
+      "allCameras": "Totes les càmeres",
+      "cameras": {
+        "title": "Càmeres",
+        "count_one": "{{count}} Càmera",
+        "count_many": "{{count}} Càmeres",
+        "count_other": "{{count}} Càmeres"
+      }
+    },
+    "review": "Revisió",
+    "explore": "Explora",
+    "export": "Exportar",
+    "uiPlayground": "Zona de proves de la interfície d'usuari",
+    "faceLibrary": "Biblioteca de cares",
+    "user": {
+      "title": "Usuari",
+      "setPassword": "Estableix Contrasenya",
+      "account": "Compte",
+      "anonymous": "Anònim",
+      "logout": "Tanca la sessió",
+      "current": "Usuari actual: {{user}}"
+    }
+  },
+  "pagination": {
+    "previous": {
+      "label": "Ves a pàgina anterior",
+      "title": "Anterior"
+    },
+    "next": {
+      "label": "Ves a pàgina següent",
+      "title": "Següent"
+    },
+    "more": "Més pàgines",
+    "label": "paginació"
+  },
+  "time": {
+    "untilForTime": "Fins les {{time}}",
+    "untilForRestart": "Fins que Frigate es reiniciï.",
+    "untilRestart": "Fins que es reiniciï",
+    "ago": "Fa {{timeAgo}}",
+    "justNow": "Ara mateix",
+    "today": "Avui",
+    "yesterday": "Ahir",
+    "last7": "Últims 7 dies",
+    "last14": "Últims 14 dies",
+    "last30": "Últims 30 dies",
+    "thisWeek": "Aquesta setmana",
+    "lastWeek": "La setmana passada",
+    "thisMonth": "Aquest mes",
+    "lastMonth": "El mes passat",
+    "5minutes": "5 minuts",
+    "10minutes": "10 minuts",
+    "30minutes": "30 minuts",
+    "1hour": "1 hora",
+    "12hours": "12 hores",
+    "24hours": "24 hores",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}any",
+    "year_one": "{{time}} any",
+    "year_many": "{{time}} anys",
+    "year_other": "{{time}} anys",
+    "mo": "{{time}}mes",
+    "month_one": "{{time}} mes",
+    "month_many": "{{time}} mesos",
+    "month_other": "{{time}} mesos",
+    "h": "{{time}}h",
+    "d": "{{time}}d",
+    "day_one": "{{time}} dia",
+    "day_many": "{{time}} dies",
+    "day_other": "{{time}} dies",
+    "hour_one": "{{time}} hora",
+    "hour_many": "{{time}} hores",
+    "hour_other": "{{time}} hores",
+    "m": "{{time}} m",
+    "minute_one": "{{time}} minut",
+    "minute_many": "{{time}} minuts",
+    "minute_other": "{{time}} minuts",
+    "s": "{{time}}s",
+    "second_one": "{{time}} segon",
+    "second_many": "{{time}} segons",
+    "second_other": "{{time}} segons",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h::mm::ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "24hour": "MMM d, yyyy",
+      "12hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "h:mm:ss aaa"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "peus",
+      "meters": "metres"
+    }
+  },
+  "label": {
+    "back": "Torna enrere"
+  },
+  "button": {
+    "apply": "Aplicar",
+    "reset": "Restablir",
+    "done": "Fet",
+    "disabled": "Deshabilitat",
+    "disable": "Deshabilitar",
+    "save": "Guardar",
+    "copy": "Copiar",
+    "back": "Enrere",
+    "pictureInPicture": "Imatge en Imatge",
+    "twoWayTalk": "Xerrada bidireccional",
+    "cameraAudio": "Àudio de la càmera",
+    "no": "No",
+    "yes": "Sí",
+    "download": "Descarregar",
+    "info": "Informació",
+    "suspended": "Suspès",
+    "export": "Exportar",
+    "deleteNow": "Eliminar ara",
+    "next": "Següent",
+    "saving": "Guardant…",
+    "cancel": "Cancelar",
+    "edit": "Editar",
+    "copyCoordinates": "Copiar coordenades",
+    "delete": "Elimina",
+    "unsuspended": "Reactivar",
+    "play": "Reproduir",
+    "close": "Tancar",
+    "history": "Historial",
+    "fullscreen": "Pantalla completa",
+    "exitFullscreen": "Sortir de pantalla completa",
+    "on": "ENCÈS",
+    "off": "APAGAT",
+    "unselect": "Desseleccionar",
+    "enable": "Habilitar",
+    "enabled": "Habilitat"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL copiada al porta-retalls.",
+    "save": {
+      "title": "Guardar",
+      "error": {
+        "title": "No s'han pogut guardar els canvis de configuració: {{errorMessage}}",
+        "noMessage": "No s'han pogut guardar els canvis de configuració"
+      }
+    }
+  },
+  "accessDenied": {
+    "desc": "No teniu permís per veure aquesta pàgina.",
+    "documentTitle": "Accés Denegat - Frigate",
+    "title": "Accés Denegat"
+  },
+  "notFound": {
+    "documentTitle": "No s'ha trobat - Frigate",
+    "title": "404",
+    "desc": "Pàgina no trobada"
+  },
+  "selectItem": "Selecciona {{item}}"
+}
diff --git a/web/public/locales/ca/components/auth.json b/web/public/locales/ca/components/auth.json
new file mode 100644
index 000000000..5d4b413a6
--- /dev/null
+++ b/web/public/locales/ca/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nom d'usuari",
+    "password": "Contrasenya",
+    "login": "Iniciar sessió",
+    "errors": {
+      "usernameRequired": "El nom d'usuari és obligatori",
+      "passwordRequired": "La contrasenya és obligatoria",
+      "rateLimit": "S'ha superat el límit d'intents. Torna-ho a provar més tard.",
+      "loginFailed": "Error en l'inici de sessió",
+      "unknownError": "Error desconegut. Comproveu els registres.",
+      "webUnknownError": "Error desconegut. Comproveu els registres de la consola."
+    }
+  }
+}
diff --git a/web/public/locales/ca/components/camera.json b/web/public/locales/ca/components/camera.json
new file mode 100644
index 000000000..b93a84a5f
--- /dev/null
+++ b/web/public/locales/ca/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "add": "Afegir grup de càmeres",
+    "edit": "Editar grup de càmeres",
+    "delete": {
+      "label": "Eliminar grup de càmeres",
+      "confirm": {
+        "title": "Confirmar eliminació",
+        "desc": "Estàs segur que vols eliminar el grup de càmeres <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "placeholder": "Introduïu un nom…",
+      "errorMessage": {
+        "mustLeastCharacters": "El nom del grup de càmeres ha de ser de com a mínim 2 caràcters.",
+        "exists": "El nom del grup de càmeres ja existeix.",
+        "nameMustNotPeriod": "El nom del grup de càmeres no pot contenir un punt.",
+        "invalid": "Nom del grup de càmeres no vàlid."
+      },
+      "label": "Nom"
+    },
+    "cameras": {
+      "label": "Càmeres",
+      "desc": "Seleccioneu càmeres per a aquest grup."
+    },
+    "camera": {
+      "setting": {
+        "label": "Paràmetres de transmissió de la càmera",
+        "title": "Paràmetres de transmissió de {{cameraName}}",
+        "audioIsAvailable": "L'àudio està disponible per a aquesta transmissió",
+        "audioIsUnavailable": "L'audio no està disponible per a aquesta transmissió",
+        "audio": {
+          "tips": {
+            "document": "Llegir la documentació · ",
+            "title": "L'audio ha de venir de la càmera i estar configurat a go2rtc per a aquesta transmissió."
+          }
+        },
+        "streamMethod": {
+          "label": "Mètode de transmissió",
+          "method": {
+            "noStreaming": {
+              "label": "Sense transmissió",
+              "desc": "Les imatges de la càmera només s'actualitzaran una vegada per minut i no hi haurà transmissió en viu."
+            },
+            "smartStreaming": {
+              "label": "Transmissió intel·ligent (recomanat)",
+              "desc": "La transmissió intel·ligent actualitzarà la imatge de la teva càmera una vegada per minut quan no es detecti activitat per a conservar amplada de banda i recursos. Quan es detecti activitat, la imatge canviarà automàticament a una transmissió en directe."
+            },
+            "continuousStreaming": {
+              "label": "Transmissió contínua",
+              "desc": {
+                "title": "La imatge de la càmera sempre serà una transmissió en directe quan estigui visible al panell de control, tot i que no hi hagi cap activitat detectada.",
+                "warning": "La transmissió contínua pot provocar problemes d'ús elevat d'amplada de banda i rendiment. Feu servir amb precaució."
+              }
+            }
+          },
+          "placeholder": "Tria un mètode de transmissió"
+        },
+        "compatibilityMode": {
+          "label": "Mode de compatibilitat",
+          "desc": "Activeu aquesta opció només si la transmissió en directe de la càmera mostra artefactes de color i té una línia diagonal a la part dreta de la imatge."
+        },
+        "desc": "Cambia les opcions de transmissió en viu del panell de control d'aquest grup de càmeres. <em>Aquest paràmetres son específics del dispositiu/navegador.</em>",
+        "stream": "Transmissió",
+        "placeholder": "Seleccionar una transmissió"
+      }
+    },
+    "success": "El grup de càmeres ({{name}}) ha estat guardat.",
+    "icon": "Icona",
+    "label": "Grups de càmeres"
+  },
+  "debug": {
+    "options": {
+      "title": "Opcions",
+      "showOptions": "Mostra opcions",
+      "hideOptions": "Amaga opcions",
+      "label": "Paràmetres"
+    },
+    "boundingBox": "Caixa delimitadora",
+    "timestamp": "Marca temporal",
+    "zones": "Zones",
+    "mask": "Màscara",
+    "motion": "Moviment",
+    "regions": "Regions"
+  }
+}
diff --git a/web/public/locales/ca/components/dialog.json b/web/public/locales/ca/components/dialog.json
new file mode 100644
index 000000000..b2759e896
--- /dev/null
+++ b/web/public/locales/ca/components/dialog.json
@@ -0,0 +1,114 @@
+{
+  "restart": {
+    "title": "Estàs segur que vols reiniciar Frigate?",
+    "button": "Reiniciar",
+    "restarting": {
+      "title": "Frigate s'està reiniciant",
+      "content": "Aquesta pàgina es tornarà a carregar d'aquí a {{countdown}} segons.",
+      "button": "Forçar la recàrrega ara"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Enviar a Frigate+",
+        "desc": "Els objectes a les ubicacions que voleu evitar no són falsos positius. Enviar-los com a falsos positius confondrà el model."
+      },
+      "review": {
+        "question": {
+          "label": "Confirmar aquesta etiqueta per a Frigate Plus",
+          "ask_a": "Aquest objecte és un <code>{{label}}</code>?",
+          "ask_an": "Aquest objecte és un <code>{{label}}</code>?",
+          "ask_full": "Aquest objecte és un <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Enviat"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Veure a l'historial"
+    }
+  },
+  "export": {
+    "time": {
+      "custom": "Personalitzat",
+      "fromTimeline": "Seleccionar a la línia de temps",
+      "lastHour_one": "L'última hora",
+      "lastHour_many": "Les últimes {{count}} hores",
+      "lastHour_other": "Les últimes {{count}} hores",
+      "start": {
+        "title": "Hora d'inci",
+        "label": "Seleccionar una hora d'inici"
+      },
+      "end": {
+        "title": "Hora de finalització",
+        "label": "Seleccionar una hora de finalització"
+      }
+    },
+    "name": {
+      "placeholder": "Nom de l'exportació"
+    },
+    "select": "Seleccionar",
+    "export": "Exportar",
+    "selectOrExport": "Seleccionar o exportar",
+    "toast": {
+      "success": "Exportació inciada amb èxit. Pots veure l'arxiu a la carpeta /exports.",
+      "error": {
+        "endTimeMustAfterStartTime": "L'hora de finalització ha de ser posterior a l'hora d'inici",
+        "noVaildTimeSelected": "No s'ha seleccionat un rang de temps vàlid",
+        "failed": "No s'ha pogut inciar l'exportació: {{error}}"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Guardar exportació",
+      "previewExport": "Previsualitzar exportació"
+    }
+  },
+  "streaming": {
+    "label": "Transmissió",
+    "restreaming": {
+      "disabled": "La retransmissió no està habilitada per a aquesta càmera.",
+      "desc": {
+        "title": "Configurar go2rtc per a àudio i opcions addicionals de visualització en directe per a aquesta càmera.",
+        "readTheDocumentation": "Llegir la documentació"
+      }
+    },
+    "showStats": {
+      "label": "Mostrar les estadístiques de la transmissió",
+      "desc": "Activa aquesta opció per a mostrar les estadístiques de la transmissió superposades a la imatge de la càmera."
+    },
+    "debugView": "Vista de depuració"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Desar la cerca",
+      "desc": "Propocioneu un nom per a aquesta cerca desada.",
+      "placeholder": "Introduïu un nom per a la vostra cerca",
+      "success": "La cerca {{searchName}} ha sigut desada.",
+      "overwrite": "{{searchName}} ja existeix. Si deseu, es sobreescriurà el valor existent.",
+      "button": {
+        "save": {
+          "label": "Desar aquesta cerca"
+        }
+      }
+    }
+  },
+  "recording": {
+    "button": {
+      "deleteNow": "Suprimir ara",
+      "export": "Exportar",
+      "markAsReviewed": "Marcar com a revisat"
+    },
+    "confirmDelete": {
+      "title": "Confirmar la supressió",
+      "desc": {
+        "selected": "Esteu segurs que voleu suprimir tots els vídeos enregistrats associats a aquest element de revisió?<br /><br />Manteniu premuda la tecla <em>Maj</em> per ometre aquest diàleg en el futur."
+      },
+      "toast": {
+        "success": "Els enregistraments de vídeo associats als elements de revisió seleccionats s’han suprimit correctament.",
+        "error": "No s'ha pogut suprimir: {{error}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ca/components/filter.json b/web/public/locales/ca/components/filter.json
new file mode 100644
index 000000000..aa02310f7
--- /dev/null
+++ b/web/public/locales/ca/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "labels": {
+    "all": {
+      "short": "Etiquetes",
+      "title": "Totes les etiquetes"
+    },
+    "label": "Etiquetes",
+    "count_one": "{{count}} Etiqueta",
+    "count_other": "{{count}} Etiquetes"
+  },
+  "filter": "Filtre",
+  "zones": {
+    "label": "Zones",
+    "all": {
+      "title": "Totes les zones",
+      "short": "Zones"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Totes les dates",
+      "short": "Dates"
+    },
+    "selectPreset": "Selecciona un preajust…"
+  },
+  "more": "Més filtres",
+  "reset": {
+    "label": "Restablir filtres als valors predeterminats"
+  },
+  "timeRange": "Rang de temps",
+  "subLabels": {
+    "label": "Subetiquetes",
+    "all": "Totes les subetiquetes"
+  },
+  "score": "Puntuació",
+  "estimatedSpeed": "Velocitat estimada ({{unit}})",
+  "features": {
+    "label": "Característiques",
+    "hasSnapshot": "Té una instantània",
+    "hasVideoClip": "Té un clip de vídeo",
+    "submittedToFrigatePlus": {
+      "label": "Enviat a Frigate+",
+      "tips": "Primer heu de filtrar els objectes de seguiment que tenen una instantània.<br /><br />Els objectes de seguiment sense una instantània no es poden enviar a Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Ordenar",
+    "dateAsc": "Data (Ascendent)",
+    "dateDesc": "Data (Descendent)",
+    "scoreAsc": "Puntuació de l'objecte (Ascendent)",
+    "scoreDesc": "Puntuació de l'objecte (Descendent)",
+    "speedAsc": "Velocitat estimada (Ascendent)",
+    "speedDesc": "Velocitat estimada (descendent)",
+    "relevance": "Rellevància"
+  },
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "summary": "Resum",
+        "unfilteredGrid": "Quadrícula sense filtrar",
+        "title": "Vista per defecte",
+        "desc": "Quan no s'ha seleccionat cap filtre, mostreu un resum dels objectes de seguiment més recents per etiqueta, o visualitzeu una quadrícula sense filtrar."
+      },
+      "gridColumns": {
+        "title": "Columnes de la quadrícula",
+        "desc": "Seleccionar el nombre de columnes a la vista de quadrícula."
+      },
+      "searchSource": {
+        "label": "Font de cerca",
+        "options": {
+          "description": "Descripció",
+          "thumbnailImage": "Imatge en miniatura"
+        },
+        "desc": "Trieu si voleu cercar les miniatures o les descripcions dels objectes de seguiment."
+      },
+      "title": "Configuració"
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Seleccionr a una data per filtrar"
+      }
+    }
+  },
+  "logSettings": {
+    "disableLogStreaming": "Deshabilitar la transmissió de registres",
+    "allLogs": "Tots els registres",
+    "loading": {
+      "desc": "Quan el panell de registre es desplaça cap a la part inferior, els registres nous apareixen automàticament a mesura que s'afegeixen.",
+      "title": "Carregant"
+    },
+    "label": "Filtrar nivell de registre",
+    "filterBySeverity": "Filtrar registre per gravetat"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmar la supressió",
+    "desc": "En suprimir aquests {{objectLength}} objectes de seguiment, s'elimina la instatània, les incrustacions desades, i els registres de temps de vida. Les imatges gravades d'aquests objectes <em>NO</em> es suprimiran de l'historial. <br/><br/>Està segur que vol continuar?<br/><br/>Manteniu la tecla <em>Shift</em> per ometre aquest diàleg en el futur.",
+    "toast": {
+      "success": "Els objectes amb seguiment s'han suprimit correctament.",
+      "error": "No s'han pogut suprimir els objectes de seguiment: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtrar per màscara de zona"
+  },
+  "recognizedLicensePlates": {
+    "title": "Matrícules reconegudes",
+    "loadFailed": "No s'han pogut carregar les matrícules reconegudes.",
+    "loading": "Carregant les matrícules reconegudes…",
+    "placeholder": "Escriu per a buscar matrícules…",
+    "noLicensePlatesFound": "No s'han trobat matrícules.",
+    "selectPlatesFromList": "Seleccioni una o més matrícules de la llista."
+  },
+  "cameras": {
+    "label": "Filtre de càmeres",
+    "all": {
+      "title": "Totes les càmeres",
+      "short": "Càmeres"
+    }
+  },
+  "review": {
+    "showReviewed": "Mostrar els revisats"
+  },
+  "motion": {
+    "showMotionOnly": "Mostar només el moviment"
+  }
+}
diff --git a/web/public/locales/ca/components/icons.json b/web/public/locales/ca/components/icons.json
new file mode 100644
index 000000000..88fba470c
--- /dev/null
+++ b/web/public/locales/ca/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecciona una icona",
+    "search": {
+      "placeholder": "Buscar icona…"
+    }
+  }
+}
diff --git a/web/public/locales/ca/components/input.json b/web/public/locales/ca/components/input.json
new file mode 100644
index 000000000..7b3641801
--- /dev/null
+++ b/web/public/locales/ca/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Descarregar vídeo",
+      "toast": {
+        "success": "S’ha començat a descarregar el vídeo de l’element de revisió."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ca/components/player.json b/web/public/locales/ca/components/player.json
new file mode 100644
index 000000000..1fed78eff
--- /dev/null
+++ b/web/public/locales/ca/components/player.json
@@ -0,0 +1,51 @@
+{
+  "stats": {
+    "latency": {
+      "short": {
+        "title": "Latència",
+        "value": "{{seconds}} s"
+      },
+      "title": "Latència:",
+      "value": "{{seconds}} segons"
+    },
+    "streamType": {
+      "title": "Tipus de transmissió:",
+      "short": "Tipus"
+    },
+    "bandwidth": {
+      "title": "Ample de banda:",
+      "short": "Ample de banda"
+    },
+    "totalFrames": "Fotogrames totals:",
+    "droppedFrames": {
+      "title": "Fotogrames perduts:",
+      "short": {
+        "title": "Perduts",
+        "value": "{{droppedFrames}} fotogrames"
+      }
+    },
+    "decodedFrames": "Fotogrames decodificats:",
+    "droppedFrameRate": "Taxa de fotogrames perduts:"
+  },
+  "noRecordingsFoundForThisTime": "No s'han trobat enregistraments en aquesta hora",
+  "noPreviewFound": "No s'ha trobat previsualització",
+  "noPreviewFoundFor": "No s'ha trobat cap previsualització per a {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Enviar aquesta imatge a Frigate+?",
+    "submit": "Enviar"
+  },
+  "livePlayerRequiredIOSVersion": "Es requereix iOS 17.1 o superior per a aquest tipus de reproducció en directe.",
+  "streamOffline": {
+    "title": "Transmissió desconnectada",
+    "desc": "No s’han rebut imatges a la transmissió <code>detect</code> de la càmera {{cameraName}}. Comprova els registres d’errors"
+  },
+  "cameraDisabled": "La càmera està desactivada",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Fotograma enviat correctament a Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Error al enviar fotograma a Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/ca/objects.json b/web/public/locales/ca/objects.json
new file mode 100644
index 000000000..253e27540
--- /dev/null
+++ b/web/public/locales/ca/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Persona",
+  "bicycle": "Bicicleta",
+  "car": "Cotxe",
+  "motorcycle": "Motocicleta",
+  "airplane": "Avió",
+  "boat": "Vaixell",
+  "traffic_light": "Llum del trànsit",
+  "fire_hydrant": "Boca d'incendi",
+  "street_sign": "Senyal de trànsit",
+  "stop_sign": "Senyal de stop",
+  "parking_meter": "Parquímetre",
+  "bench": "Banc",
+  "bird": "Ocell",
+  "cat": "Gat",
+  "dog": "Gos",
+  "horse": "Cavall",
+  "sheep": "Ovella",
+  "cow": "Vaca",
+  "elephant": "Elefant",
+  "bear": "Ós",
+  "zebra": "Zebra",
+  "giraffe": "Girafa",
+  "hat": "Barret",
+  "backpack": "Motxilla",
+  "umbrella": "Paraigües",
+  "shoe": "Sabata",
+  "eye_glasses": "Ulleres",
+  "tie": "Corbata",
+  "suitcase": "Maleta",
+  "frisbee": "Frisbee",
+  "skis": "Esquís",
+  "snowboard": "Snowboard",
+  "sports_ball": "Pilota d'esports",
+  "kite": "Estel",
+  "baseball_bat": "Bat de beisbol",
+  "baseball_glove": "Guant de beisbol",
+  "skateboard": "Monopatí",
+  "surfboard": "Taula de surf",
+  "tennis_racket": "Raqueta de tenis",
+  "bottle": "Ampolla",
+  "plate": "Placa",
+  "wine_glass": "Got de vi",
+  "cup": "Copa",
+  "fork": "Forquilla",
+  "knife": "Ganivet",
+  "spoon": "Cullera",
+  "bowl": "Bol",
+  "apple": "Poma",
+  "sandwich": "Sandvitx",
+  "orange": "Taronja",
+  "broccoli": "Bròquil",
+  "carrot": "Pastanaga",
+  "hot_dog": "Frankfurt",
+  "pizza": "Pizza",
+  "donut": "Dònut",
+  "cake": "Pastís",
+  "chair": "Cadira",
+  "couch": "Sofà",
+  "potted_plant": "Planta en test",
+  "bed": "Llit",
+  "mirror": "Mirall",
+  "dining_table": "Taula de menjador",
+  "window": "Finestra",
+  "desk": "Escriptori",
+  "toilet": "Bany",
+  "door": "Porta",
+  "tv": "TV",
+  "mouse": "Ratolí",
+  "remote": "Comandament",
+  "keyboard": "Teclat",
+  "cell_phone": "Telèfon mòbil",
+  "microwave": "Microones",
+  "oven": "Forn",
+  "toaster": "Torradora",
+  "sink": "Aigüera",
+  "refrigerator": "Nevera",
+  "blender": "Batedora",
+  "book": "Llibre",
+  "clock": "Rellotge",
+  "vase": "Gerro",
+  "scissors": "Tisores",
+  "teddy_bear": "Ós de peluix",
+  "hair_dryer": "Assecador de cabell",
+  "toothbrush": "Raspall de dents",
+  "hair_brush": "Raspall de cabell",
+  "vehicle": "Vehicle",
+  "squirrel": "Esquirol",
+  "deer": "Cérvol",
+  "animal": "Animal",
+  "bark": "Escorça",
+  "fox": "Guineu",
+  "goat": "Cabra",
+  "rabbit": "Conill",
+  "raccoon": "Ós rentador",
+  "robot_lawnmower": "Robot tallagespa",
+  "handbag": "Bossa de mà",
+  "banana": "Plàtan",
+  "train": "Tren",
+  "bus": "Autobús",
+  "laptop": "Portàtil",
+  "waste_bin": "Paperera",
+  "face": "Cara",
+  "on_demand": "Sota demanda",
+  "license_plate": "Matrícula",
+  "package": "Paquet",
+  "bbq_grill": "Barbacoa",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "dpd": "DPD",
+  "gls": "GLS"
+}
diff --git a/web/public/locales/ca/views/configEditor.json b/web/public/locales/ca/views/configEditor.json
new file mode 100644
index 000000000..8d47ea04c
--- /dev/null
+++ b/web/public/locales/ca/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor de Configuració - Frigate",
+  "configEditor": "Editor de configuració",
+  "copyConfig": "Copiar configuració",
+  "saveAndRestart": "Desa i reinicia",
+  "saveOnly": "Només desar",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configuració copiada al porta-retalls."
+    },
+    "error": {
+      "savingError": "Error al desar la configuració"
+    }
+  },
+  "confirm": "Sortir sense desar?"
+}
diff --git a/web/public/locales/ca/views/events.json b/web/public/locales/ca/views/events.json
new file mode 100644
index 000000000..1a219b9c1
--- /dev/null
+++ b/web/public/locales/ca/views/events.json
@@ -0,0 +1,38 @@
+{
+  "detected": "detectat",
+  "alerts": "Alertes",
+  "detections": "Deteccions",
+  "motion": {
+    "label": "Moviment",
+    "only": "Només moviment"
+  },
+  "allCameras": "Totes les càmeres",
+  "empty": {
+    "alert": "Hi ha cap alerta per revisar",
+    "detection": "Hi ha cap detecció per revisar",
+    "motion": "No s'haan trobat dades de moviment"
+  },
+  "timeline": "Línia de temps",
+  "timeline.aria": "Seleccionar línia de temps",
+  "events": {
+    "label": "Esdeveniments",
+    "aria": "Seleccionar esdeveniments",
+    "noFoundForTimePeriod": "No s'han trobat esdeveniments per aquest període de temps."
+  },
+  "documentTitle": "Revisió - Frigate",
+  "recordings": {
+    "documentTitle": "Enregistraments - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Últimes 24 hores"
+  },
+  "markAsReviewed": "Marcar com a revisat",
+  "markTheseItemsAsReviewed": "Marca aquests elements com a revisats",
+  "newReviewItems": {
+    "label": "Veure nous elements de revisió",
+    "button": "Nous elements per revisar"
+  },
+  "camera": "Càmera",
+  "selected_one": "{{count}} seleccionats",
+  "selected_other": "{{count}} seleccionats"
+}
diff --git a/web/public/locales/ca/views/explore.json b/web/public/locales/ca/views/explore.json
new file mode 100644
index 000000000..07f787ed3
--- /dev/null
+++ b/web/public/locales/ca/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "exploreIsUnavailable": {
+    "downloadingModels": {
+      "tips": {
+        "context": "Potser voldreu reindexar les incrustacions dels objectes seguits un cop s'hagin descarregat els models.",
+        "documentation": "Llegir la documentació"
+      },
+      "context": "Frigate està descarregant els models d'embeddings necessaris per a donar suport a la funció de cerca semàntica. Això pot trigar diversos minuts, depenent de la velocitat de la teva connexió de xarxa.",
+      "setup": {
+        "visionModel": "Model de visió",
+        "visionModelFeatureExtractor": "Extractor de característiques del model de visió",
+        "textModel": "Model de text",
+        "textTokenizer": "Tokenitzador de text"
+      },
+      "error": "S'ha produït un error. Comproveu els registres de Frigate."
+    },
+    "embeddingsReindexing": {
+      "context": "Explorar pot ser utilitzat després d’haver completat la reindexació d’objectes rastrejats.",
+      "startingUp": "Iniciant…",
+      "finishingShortly": "Finalitzant en breus",
+      "step": {
+        "thumbnailsEmbedded": "Miniatures integrades: ",
+        "descriptionsEmbedded": "Descripcions integrades: ",
+        "trackedObjectsProcessed": "Objectes processats: "
+      },
+      "estimatedTime": "Temps restant estimat:"
+    },
+    "title": "Explorar no està disponible"
+  },
+  "documentTitle": "Explora - Frigate",
+  "generativeAI": "IA Generativa",
+  "objectLifecycle": {
+    "createObjectMask": "Crear màscara per a l'objecte",
+    "title": "Cicle de vida de l'objecte",
+    "noImageFound": "No s'ha trobat cap imatge per a aquesta marca temporal.",
+    "adjustAnnotationSettings": "Ajustar els paràmetres de les anotacions",
+    "scrollViewTips": "Desplaça't per veure els moments significatius del cicle de vida d'aquest objecte.",
+    "lifecycleItemDesc": {
+      "entered_zone": "{{label}} ha entrat a {{zones}}",
+      "active": "{{label}} s'ha activat",
+      "stationary": "{{label}} ha esdevingut estacionari",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectat per a {{label}}",
+        "other": "{{label}} reconegut com a {{attribute}}"
+      },
+      "header": {
+        "zones": "Zones",
+        "ratio": "Proporció",
+        "area": "Àrea"
+      },
+      "heard": "{{label}} escoltat",
+      "external": "{{label}} detectat",
+      "gone": "{{label}} ha marxat",
+      "visible": "{{label}} detectat"
+    },
+    "annotationSettings": {
+      "offset": {
+        "documentation": "Llegir la documentació ",
+        "label": "Desplaçament de l'anotació",
+        "desc": "Aquestes dades provenen de la detecció d'objectes, però se superposen a les imatges d’enregistrament. És poc probable que les dues transmissions estiguin perfectament sincronitzades. Per aquest motiu, la capsa delimitadora i les imatges poden no coincidir exactament. Tanmateix, es pot utilitzar el camp <code>annotation_offset</code> per ajustar-ho.",
+        "tips": "CONSELL: Imagina que hi ha la captura d'un esdeveniment on una persona camina d'esquerra a dreta. Si la caixa delimitadora de l'objecte està constantment a l'esquerra de la persona, llavors el valor s'hauria de disminuir. Si, per contra, la caixa delimitadora està constantment per davant de la persona (a la seva dreta en aquest exemple), llavors el valor s'hauria d'augmentar.",
+        "toast": {
+          "success": "El desplaçament d'anotació per {{camera}} s'ha guardat al fitxer de configuració. Reinicia Frigate per aplicar els canvis."
+        },
+        "millisecondsToOffset": "Mil·lisegons a desplaçar les anotacions de detecció: <em>Per Defecte: 0</em>"
+      },
+      "title": "Paràmetres de les anotacions",
+      "showAllZones": {
+        "title": "Mostra totes les zones",
+        "desc": "Mostra sempre les zones en fotogrames on hi hagin aparegut objectes."
+      }
+    },
+    "carousel": {
+      "next": "Diapositiva següent",
+      "previous": "Diapositiva anterior"
+    },
+    "autoTrackingTips": "Les posicions dels recuadres delimitadors seràn inexactes per a càmeres amb seguiment automàtic.",
+    "count": "{{first}} de {{second}}",
+    "trackedPoint": "Punt seguit"
+  },
+  "exploreMore": "Explora més {{label}} objectes",
+  "trackedObjectDetails": "Detalls de l'objecte rastrejat",
+  "type": {
+    "details": "detalls",
+    "snapshot": "instantània",
+    "video": "vídeo",
+    "object_lifecycle": "cicle de vida de l'objecte"
+  },
+  "details": {
+    "timestamp": "Marca temporal",
+    "item": {
+      "button": {
+        "viewInExplore": "Veure a Explorar",
+        "share": "Comparteix aquest element de revisió"
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Subetiqueta actualitzada amb èxit.",
+          "updatedLPR": "Matrícula actualitzada amb èxit.",
+          "regenerate": "El {{provider}} ha sol·licitat una nova descripció. En funció de la velocitat del vostre proveïdor, la nova descripció pot trigar un temps a regenerar-se."
+        },
+        "error": {
+          "regenerate": "No s'ha pogut contactar amb {{provider}} per obtenir una nova descripció: {{errorMessage}}",
+          "updatedSublabelFailed": "No s'ha pogut actualitzar la subetiqueta: {{errorMessage}}",
+          "updatedLPRFailed": "No s'ha pogut actualitzar la matrícula: {{errorMessage}}"
+        }
+      },
+      "title": "Revisar detalls de l'element",
+      "desc": "Revisar detalls de l'element",
+      "tips": {
+        "hasMissingObjects": "Ajusta la configuració si vols que Frigate guardi els objectes rastrejat de les seguents etiquetes: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} objecte no disponible ha estat detectat i inclòs en aquest element de revisió. Aquest objecte tampoc no s'han calificat com una alerta o detecció o ja ha estat netejat mes amunt/eliminat.",
+        "mismatch_many": "{{count}} objectes no disponibles han estat detectats i inclosos en aquest element de revisió. Aquests objectes tampoc no s'han calificat com una alerta o detecció o ja han estat netejats mes amunt/eliminats.",
+        "mismatch_other": "{{count}} objectes no disponibles han estat detectats i inclosos en aquest element de revisió. Aquests objectes tampoc no s'han calificat com una alerta o detecció o ja han estat netejats mes amunt/eliminats."
+      }
+    },
+    "label": "Etiqueta",
+    "topScore": {
+      "label": "Puntuació màxima",
+      "info": "El resultat superior és la mediana més alta per l'objecte seguit, així que pot diferir des del resultat mostrat en thumbnail de la búsqueda de recerca."
+    },
+    "estimatedSpeed": "Velocitat estimada",
+    "button": {
+      "regenerate": {
+        "title": "Regenerar",
+        "label": "Regenerar descripció d'objecte rastrejat"
+      },
+      "findSimilar": "Cercar similars"
+    },
+    "expandRegenerationMenu": "Amplia el menú de regeneració",
+    "regenerateFromSnapshot": "Regenerar desde instantània",
+    "regenerateFromThumbnails": "Regenerar desde miniatures",
+    "tips": {
+      "descriptionSaved": "Descripció desada amb èxit",
+      "saveDescriptionFailed": "No s'ha pogut actualitzar la descripció: {{errorMessage}}"
+    },
+    "description": {
+      "placeholder": "Descripció de l'objecte rastrejat",
+      "label": "Descripció",
+      "aiTips": "Frigate no sol·licitarà una descripció al teu proveïdor d'intel·ligència artificial generativa fins que el cicle de vida de l'objecte rastrejat hagi acabat."
+    },
+    "objects": "Objectes",
+    "camera": "Càmera",
+    "editSubLabel": {
+      "title": "Editar subetiqueta",
+      "descNoLabel": "Introdueix una nova subetiqueta per a aquest objecte rastrejat",
+      "desc": "Introdueix una nova subetiqueta per a aquesta {{label}}"
+    },
+    "zones": "Zones",
+    "recognizedLicensePlate": "Matrícula reconeguda",
+    "snapshotScore": {
+      "label": "Puntuació d'instantània"
+    },
+    "editLPR": {
+      "title": "Editar matrícula",
+      "descNoLabel": "Introdueix un nou valor de matrícula per a aquest objecte rastrejat",
+      "desc": "Introdueix un nou valor per a la matrícula per aquesta {{label}}"
+    }
+  },
+  "searchResult": {
+    "tooltip": "S'ha identificat {{type}} amb una confiança del {{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "L'objectes amb seguiment s'ha suprimit correctament.",
+        "error": "No s'ha pogut suprimir l'objecte rastrejat: {{errorMessage}}"
+      }
+    }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "aria": "Descarregar vídeo",
+      "label": "Descarregar vídeo"
+    },
+    "submitToPlus": {
+      "aria": "Enviar a Frigate Plus",
+      "label": "Enviar a Frigate+"
+    },
+    "downloadSnapshot": {
+      "label": "Descarregar instantània",
+      "aria": "Descarregar instantània"
+    },
+    "findSimilar": {
+      "label": "Cercar similars",
+      "aria": "Trobar objectes de seguiment similars"
+    },
+    "viewObjectLifecycle": {
+      "label": "Veure el cicle de vida de l'objecte",
+      "aria": "Mostrar el cicle de vida de l'objecte"
+    },
+    "viewInHistory": {
+      "label": "Veure a l'historial",
+      "aria": "Veure a l'historial"
+    },
+    "deleteTrackedObject": {
+      "label": "Suprimeix aquest objecte rastrejat"
+    }
+  },
+  "noTrackedObjects": "No s'han trobat objectes rastrejats",
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirmar la supressió",
+      "desc": "Eliminant aquest objecte seguit borrarà l'snapshot, qualsevol embedding gravat, i qualsevol objecte associat. Les imatges gravades d'aquest objecte seguit en l'historial <em>NO</em> seràn eliminades.<br /><br />Estas segur que vols continuar?"
+    }
+  },
+  "fetchingTrackedObjectsFailed": "Error al obtenir objectes rastrejats: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} objecte rastrejat ",
+  "trackedObjectsCount_many": "{{count}} objectes rastrejats ",
+  "trackedObjectsCount_other": "{{count}} objectes rastrejats "
+}
diff --git a/web/public/locales/ca/views/exports.json b/web/public/locales/ca/views/exports.json
new file mode 100644
index 000000000..dfe5de963
--- /dev/null
+++ b/web/public/locales/ca/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exportar - Frigate",
+  "search": "Buscar",
+  "noExports": "No s'han trobat exportacions",
+  "deleteExport": "Suprimeix l'exportació",
+  "deleteExport.desc": "Estàs segur que vols eliminar {{exportName}}?",
+  "editExport": {
+    "title": "Renombrar exportació",
+    "desc": "Introdueix un nou nom per a aquesta exportació.",
+    "saveExport": "Desar exportació"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Error al canviar el nom de l’exportació: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/ca/views/faceLibrary.json b/web/public/locales/ca/views/faceLibrary.json
new file mode 100644
index 000000000..356691315
--- /dev/null
+++ b/web/public/locales/ca/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "selectItem": "Selecciona {{item}}",
+  "details": {
+    "subLabelScore": "Puntuació de la subetiqueta",
+    "scoreInfo": "La puntuació de la subetiqueta és la puntuació ponderada de totes la confidència dels rostres reconeguts, de manera que pot ser diferent de la puntuació que es mostra a la instantània.",
+    "unknown": "Desconegut",
+    "person": "Persona",
+    "faceDesc": "Detalls de l'objecte que ha generat aquest rostre",
+    "timestamp": "Marca temporal",
+    "face": "Detalls del rostre"
+  },
+  "collections": "Col·leccions",
+  "train": {
+    "empty": "No hi ha intents recents de reconeixement de rostres",
+    "title": "Entrenar",
+    "aria": "Seleccionar entrenament"
+  },
+  "description": {
+    "addFace": "Guia per a agregar una nova colecció a la biblioteca de rostres.",
+    "placeholder": "Introduïu un nom per a aquesta col·lecció",
+    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guionets."
+  },
+  "documentTitle": "Biblioteca de rostres - Frigate",
+  "uploadFaceImage": {
+    "title": "Puja una imatge del rostre",
+    "desc": "Carregar una imatge per escanejar els rostres i incloure per a {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Crear Col·lecció",
+    "desc": "Crear una nova col·lecció",
+    "new": "Crear un nou rostre",
+    "nextSteps": "Per establir una base sòlida:<li>Utilitza la pestanya Entrenament per seleccionar i entrenar imatges de cada persona detectada.</li><li>Centra’t en imatges frontals per obtenir millors resultats; evita imatges d’entrenament amb rostres en angle.</li></ul>"
+  },
+  "steps": {
+    "faceName": "Introduir el nom del rostre",
+    "uploadFace": "Puja una imatge del rostre",
+    "nextSteps": "Següents passos",
+    "description": {
+      "uploadFace": "Puja una imatge de {{name}} que mostri el seu rostre de cares. No cal que la imatge estigui retallada només al rostre."
+    }
+  },
+  "selectFace": "Seleccionar rostre",
+  "deleteFaceLibrary": {
+    "desc": "Estàs segur que vols eliminar la col·lecció {{name}}? Això eliminarà permanentment tots els rostres associats.",
+    "title": "Suprimir nom"
+  },
+  "renameFace": {
+    "desc": "Introduïu un nou nom per a {{name}}",
+    "title": "Canviar nom del rostre"
+  },
+  "imageEntry": {
+    "dropActive": "Arrossegueu la imatge aquí…",
+    "validation": {
+      "selectImage": "Siusplau, selecciona un fixer d'imatge."
+    },
+    "maxSize": "Mida màxima: {{size}}MB",
+    "dropInstructions": "Arrastra una imatge aquí, o fes clic per a selccionar-ne una"
+  },
+  "button": {
+    "uploadImage": "Pujar imatge",
+    "addFace": "Afegir rostre",
+    "deleteFaceAttempts": "Suprimir rostres",
+    "renameFace": "Renombrar rostre",
+    "deleteFace": "Suprimeix rostre",
+    "reprocessFace": "Reprocessar rostre"
+  },
+  "toast": {
+    "success": {
+      "trainedFace": "Rostre entrenat amb èxit.",
+      "updatedFaceScore": "Puntació de rostre actualitzada amb èxit.",
+      "uploadedImage": "Imatge pujada amb èxit.",
+      "addFaceLibrary": "{{name}} s'ha afegit amb èxit a la biblioteca de rostres!",
+      "deletedName_one": "{{count}} rostre s'ha suprimit amb èxit.",
+      "deletedName_many": "{{count}} rostres s'han suprimit amb èxit.",
+      "deletedName_other": "{{count}} rostres s'han suprimit amb èxit.",
+      "deletedFace_one": "{{count}} rostre suprimit amb èxit.",
+      "deletedFace_many": "{{count}} rostres suprimits amb èxit.",
+      "deletedFace_other": "{{count}} rostres suprimits amb èxit.",
+      "renamedFace": "Rostre renombrat amb èxit a {{name}}"
+    },
+    "error": {
+      "uploadingImageFailed": "No s'ha pogut penjar la imatge: {{errorMessage}}",
+      "trainFailed": "No s'ha pogut entrenar: {{errorMessage}}",
+      "deleteFaceFailed": "No s'ha pogut suprimir: {{errorMessage}}",
+      "deleteNameFailed": "No s'ha pogut suprimir el nom: {{errorMessage}}",
+      "updateFaceScoreFailed": "No s'ha pogut actualitzar la puntuació de rostre: {{errorMessage}}",
+      "addFaceLibraryFailed": "No s'ha pogut establir el nom del rostre: {{errorMessage}}",
+      "renameFaceFailed": "No s'ha pogut renombrar el rostre: {{errorMessage}}"
+    }
+  },
+  "nofaces": "No hi han rostres disponibles",
+  "deleteFaceAttempts": {
+    "title": "Suprimir rostres",
+    "desc_one": "Estàs segur que vols suprimir {{count}} rostre? Aquesta acció no es pot desfer.",
+    "desc_many": "Estàs segur que vols suprimir {{count}} rostres? Aquesta acció no es pot desfer.",
+    "desc_other": "Estàs segur que vols suprimir {{count}} rostres? Aquesta acció no es pot desfer."
+  },
+  "pixels": "{{area}}px",
+  "trainFace": "Entrenar rostre",
+  "readTheDocs": "Llegir la documentació",
+  "trainFaceAs": "Entrenar rostre com a:"
+}
diff --git a/web/public/locales/ca/views/live.json b/web/public/locales/ca/views/live.json
new file mode 100644
index 000000000..dd091b7de
--- /dev/null
+++ b/web/public/locales/ca/views/live.json
@@ -0,0 +1,158 @@
+{
+  "ptz": {
+    "zoom": {
+      "in": {
+        "label": "Apropar la càmera PTZ"
+      },
+      "out": {
+        "label": "Allunyar la càmera PTZ"
+      }
+    },
+    "move": {
+      "clickMove": {
+        "label": "Fes clic a la imatge per centrar la càmera",
+        "enable": "Habilita clic per moure",
+        "disable": "Deshabilita clic per moure"
+      },
+      "left": {
+        "label": "Moure la càmera PTZ a l'esquerra"
+      },
+      "up": {
+        "label": "Moure la càmera PTZ cap amunt"
+      },
+      "down": {
+        "label": "Moure la càmera PTZ cap avall"
+      },
+      "right": {
+        "label": "Moure la càmera PTZ a la dreta"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Fer clic a la imatge per centrar la càmera PTZ"
+      }
+    },
+    "presets": "Predefinits de la càmera PTZ"
+  },
+  "documentTitle": "Directe - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Directe - Frigate",
+  "lowBandwidthMode": "Mode de baix ample de banda",
+  "twoWayTalk": {
+    "enable": "Activa la comunicació bidireccional",
+    "disable": "Desactiva la comunicació bidireccional"
+  },
+  "cameraAudio": {
+    "enable": "Habilitar l'àudio de la càmera",
+    "disable": "Deshabilita l'àudio de la càmera"
+  },
+  "camera": {
+    "enable": "Habilitar la càmera",
+    "disable": "Deshabilita la càmera"
+  },
+  "muteCameras": {
+    "enable": "Silencia totes les càmeres",
+    "disable": "Activar el so de totes les càmeres"
+  },
+  "detect": {
+    "enable": "Habilita la detecció",
+    "disable": "Deshabilitar detecció"
+  },
+  "recording": {
+    "enable": "Habilitar gravació",
+    "disable": "Deshabilita l'enregistrament"
+  },
+  "snapshots": {
+    "enable": "Habilita captura d'instantània",
+    "disable": "Deshabilitar instantànies"
+  },
+  "audioDetect": {
+    "enable": "Habilita la detecció d'àudio",
+    "disable": "Deshabilitar la detecció d'àudio"
+  },
+  "autotracking": {
+    "enable": "Habilitar seguiment automàtic",
+    "disable": "Deshabilitar seguiment automàtic"
+  },
+  "streamStats": {
+    "enable": "Mostrar les estadístiques de la transmissió",
+    "disable": "Amaga estadístiques de la transmissió"
+  },
+  "manualRecording": {
+    "title": "Gravació sota demanda",
+    "tips": "Iniciar un event manual basat en els paràmetres de retenció de gravació per aquesta càmera.",
+    "playInBackground": {
+      "label": "Reproduir en segon pla",
+      "desc": "Habilita aquesta opció per a continuar la transmissió quan el reproductor està amagat."
+    },
+    "showStats": {
+      "label": "Mostrar les estadístiques",
+      "desc": "Habilita aquesta opció per mostrar les estadístiques de transmissió com una superposició de la transmissió de la càmera."
+    },
+    "start": "Iniciar enregistrament sota demanda",
+    "started": "Gravació sota demanda manual inciada.",
+    "ended": "Gravació sota demanda manual finalitzada.",
+    "debugView": "Vista de depuració",
+    "end": "Finalitzar gravació sota demanda",
+    "failedToStart": "No s'ha pogut iniciar la gravació manual sota demanda.",
+    "recordDisabledTips": "Com que la gravació està deshabilitada o restringida a la configuració d'aquesta càmera, només es guardarà una instantània.",
+    "failedToEnd": "No s'ha pogut acabar la gravació manual sota demanda."
+  },
+  "notifications": "Notificacions",
+  "audio": "Àudio",
+  "stream": {
+    "title": "Transmissió",
+    "audio": {
+      "tips": {
+        "documentation": "Llegir la documentació ",
+        "title": "L'àudio ha de provenir de la càmera i estar configurat amb go2rtc per a aquesta transmissió."
+      },
+      "available": "L'àudio està disponible per a aquesta transmissió",
+      "unavailable": "L'audio no està disponible per a aquesta transmissió"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Llegir la documentació ",
+      "tips": "El teu dispositiu ha de suportar la funció i WebRTC ha d'estar configurat per a conversa bidireccional.",
+      "available": "La conversa bidireccional està disponible per a aquesta transmissió",
+      "unavailable": "La conversa bidireccional no està disponible per a aquesta transmissió"
+    },
+    "lowBandwidth": {
+      "resetStream": "Restablir transmissió",
+      "tips": "La vista en directe està en mode de baix ample de banda a causa d'errors de transmissió o de buffering."
+    },
+    "playInBackground": {
+      "label": "Reproduir en segon pla",
+      "tips": "Habilita aquesta opció per a contiuar la transmissió tot i que el reproductor estigui ocult."
+    }
+  },
+  "streamingSettings": "Paràmetres de transmissió",
+  "suspend": {
+    "forTime": "Suspèn per: "
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Paràmetres",
+    "cameraEnabled": "Càmera habilitada",
+    "recording": "Gravació",
+    "snapshots": "Instantànies",
+    "autotracking": "Seguiment automàtic",
+    "objectDetection": "Detecció d'objectes",
+    "audioDetection": "Detecció d'àudio"
+  },
+  "history": {
+    "label": "Mostrar gravacions històriques"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Tot",
+      "motion": "Moviment",
+      "active_objects": "Objectes actius"
+    },
+    "notAllTips": "El vostre {{source}} registre de configuració de retenció s'ha posat en el mode <code>: {{effectiveRetainMode}}</code>, així que la gravaciò a demanda només seguirà segments amb {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Editar el disseny",
+    "group": {
+      "label": "Editar grup de càmeres"
+    },
+    "exitEdit": "Sortir de l'edició"
+  }
+}
diff --git a/web/public/locales/ca/views/recording.json b/web/public/locales/ca/views/recording.json
new file mode 100644
index 000000000..e78f5efa1
--- /dev/null
+++ b/web/public/locales/ca/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtre",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "No s'ha seleccionat un rang de temps vàlid",
+      "endTimeMustAfterStartTime": "L'hora de finalització ha de ser posterior a l'hora d'inici"
+    }
+  },
+  "export": "Exportar",
+  "calendar": "Calendari",
+  "filters": "Filtres"
+}
diff --git a/web/public/locales/ca/views/search.json b/web/public/locales/ca/views/search.json
new file mode 100644
index 000000000..3f5940348
--- /dev/null
+++ b/web/public/locales/ca/views/search.json
@@ -0,0 +1,72 @@
+{
+  "filter": {
+    "label": {
+      "time_range": "Rang de temps",
+      "cameras": "Càmeres",
+      "search_type": "Tipus de cerca",
+      "labels": "Etiquetes",
+      "zones": "Zones",
+      "sub_labels": "Subetiquetes",
+      "before": "Abans",
+      "after": "Després",
+      "min_score": "Puntuació mínima",
+      "max_score": "Puntuació màxima",
+      "min_speed": "Velocitat mínima",
+      "max_speed": "Velocitat màxima",
+      "recognized_license_plate": "Matrícula reconeguda",
+      "has_clip": "Té Clip",
+      "has_snapshot": "Té instantània"
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Descripció"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "La data 'abans' ha de ser posterior a la data 'després'.",
+        "afterDatebeEarlierBefore": "La data 'després' ha de ser anterior a la data 'abans'.",
+        "minScoreMustBeLessOrEqualMaxScore": "La \"puntuació mínima\" ha de ser menor o igual que la \"puntuació màxima\".",
+        "maxScoreMustBeGreaterOrEqualMinScore": "La \"puntuació màxima\" ha de ser major o igual que la \"puntuació mínima\".",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "La \"velocitat mínima\" ha de ser menor o igual que la \"velocitat màxima\".",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "La \"velocitat màxima\" ha de ser major o igual que la \"velocitat mínima\"."
+      }
+    },
+    "tips": {
+      "title": "Com utilitzar filtres de text",
+      "desc": {
+        "step2": "Selecciona un valor de les suggerències o escriu-ne un de propi.",
+        "step3": "Utilitza múltiples filtres afegint-los un rere l'altre amb un espai entremig.",
+        "exampleLabel": "Exemple:",
+        "step1": "Escriviu un nom de clau de filtre seguit de dos punts (p. ex., \"càmeres:\").",
+        "text": "Els filtres t'ajuden a acotar els resultats de cerca. Aquí tens com utilitzar-los al camp d’entrada:",
+        "step4": "Els filtres de data {abans: i després:) fan servir el format {{DateFormat}}.",
+        "step5": "El filtre de rang de temps fa servir el format {{exampleTime}}.",
+        "step6": "Suprimeix els filtres fent clic a la 'x' que tenen al costat."
+      }
+    },
+    "header": {
+      "noFilters": "Filtres",
+      "currentFilterType": "Valors del filtre",
+      "activeFilters": "Filtres actius"
+    }
+  },
+  "search": "Buscar",
+  "savedSearches": "Cerques desades",
+  "searchFor": "Buscar {{inputValue}}",
+  "button": {
+    "clear": "Netejar cerca",
+    "save": "Desar la cerca",
+    "delete": "Suprimeix la recerca desada",
+    "filterInformation": "Informació de filtre",
+    "filterActive": "Filtres actius"
+  },
+  "trackedObjectId": "ID d'objecte rastrejat",
+  "placeholder": {
+    "search": "Cercar…"
+  },
+  "similaritySearch": {
+    "title": "Cerca per similitud",
+    "active": "Cerca per similitud habilitada",
+    "clear": "Netejar cerca per similitud"
+  }
+}
diff --git a/web/public/locales/ca/views/settings.json b/web/public/locales/ca/views/settings.json
new file mode 100644
index 000000000..a94e86bd1
--- /dev/null
+++ b/web/public/locales/ca/views/settings.json
@@ -0,0 +1,622 @@
+{
+  "documentTitle": {
+    "enrichments": "Parmàmetres complementaris - Frigate",
+    "motionTuner": "Ajust de moviment - Frigate",
+    "object": "Depurar - Frigate",
+    "default": "Paràmetres - Frigate",
+    "authentication": "Configuració d'autenticació - Frigate",
+    "camera": "Paràmetres de càmera - Frigate",
+    "masksAndZones": "Editor de màscares i zones - Frigate",
+    "general": "Paràmetres Generals - Frigate",
+    "frigatePlus": "Paràmetres de Frigate+ - Frigate",
+    "notifications": "Paràmetres de notificació - Frigate"
+  },
+  "menu": {
+    "ui": "Interfície d'usuari",
+    "cameras": "Paràmetres de la càmera",
+    "masksAndZones": "Màscares / Zones",
+    "motionTuner": "Ajust de detecció de moviment",
+    "users": "Usuaris",
+    "notifications": "Notificacions",
+    "debug": "Depuració",
+    "frigateplus": "Frigate+",
+    "enrichments": "Enriquiments"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Hi ha canvis no guardats.",
+      "desc": "Desar els canvis abans de continuar?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Càmera",
+    "noCamera": "Cap càmera"
+  },
+  "general": {
+    "title": "Paràmetres generals",
+    "liveDashboard": {
+      "title": "Panell en directe",
+      "automaticLiveView": {
+        "label": "Vista en directe automàtica",
+        "desc": "Canvia automàticament a la vista en directe d’una càmera quan es detecta activitat. Desactivar aquesta opció fa que les imatges estàtiques de la càmera al panell en directe s’actualitzin només un cop per minut."
+      },
+      "playAlertVideos": {
+        "label": "Reproduir vídeos d’alerta",
+        "desc": "Per defecte, les alertes recents al tauler en directe es reprodueixen com a vídeos petits en bucle. Desactiva aquesta opció per mostrar només una imatge estàtica de les alertes recents en aquest dispositiu/navegador."
+      }
+    },
+    "storedLayouts": {
+      "title": "Disposicions desades",
+      "desc": "La disposició de les càmeres en un grup es pot arrossegar i redimensionar. Les posicions es guarden a l’emmagatzematge local del teu navegador.",
+      "clearAll": "Esborra tots les disposicions"
+    },
+    "cameraGroupStreaming": {
+      "desc": "La configuració de la transmissió per a cada grup de càmeres s'emmagatzema de manera local al vostre navegador.",
+      "title": "Parmàmetres de transmissió del grup de càmeres",
+      "clearAll": "Esborra tots els paràmetres de transmissió"
+    },
+    "recordingsViewer": {
+      "title": "Visor d'enregistraments",
+      "defaultPlaybackRate": {
+        "label": "Velocitat de reproducció predeterminada",
+        "desc": "Velocitat de reproducció predeterminada per a la reproducció de gravacions."
+      }
+    },
+    "calendar": {
+      "firstWeekday": {
+        "monday": "Dilluns",
+        "label": "Primer dia de la setmana",
+        "sunday": "Diumenge",
+        "desc": "El dia en que comencen les setmanes del calendari de revisions."
+      },
+      "title": "Calendari"
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Disposició emmagatzemada esborrada per {{cameraName}}",
+        "clearStreamingSettings": "S'han suprimit els paràmetres de la transmissió per tots els grups de càmeres."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Error en suprimir la disposició desada: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Error en esborrar els paràmetres de la transmissió: {{errorMessage}}"
+      }
+    }
+  },
+  "masksAndZones": {
+    "form": {
+      "polygonDrawing": {
+        "snapPoints": {
+          "false": "No ajustar punts",
+          "true": "Punts d'ajust"
+        },
+        "delete": {
+          "success": "{{name}} s'ha suprimit.",
+          "title": "Confirmar la supressió",
+          "desc": "Estas segur que vols suprimir el {{type}} <em>{{name}}</em>?"
+        },
+        "removeLastPoint": "Eliminar l'últim punt",
+        "reset": {
+          "label": "Neteja tots els punts"
+        },
+        "error": {
+          "mustBeFinished": "El dibuix del polígon s'ha d'acabar abans de desar."
+        }
+      },
+      "zoneName": {
+        "error": {
+          "hasIllegalCharacter": "El nom de la zona conté caràcters il·legals.",
+          "mustBeAtLeastTwoCharacters": "El nom de la zona ha de contenir com a mínim 2 caràcters.",
+          "mustNotContainPeriod": "El nom de la zona no pot contenir punts.",
+          "alreadyExists": "Ja existeix una zona amb aquest nom per a aquesta càmera.",
+          "mustNotBeSameWithCamera": "El nom de la zona no pot ser el mateix que el nom de la càmera."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "L'inèrcia ha de ser superior a 0."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "La distància ha de ser major o igual a 0.1.",
+          "mustBeFilled": "Cal omplir tots els camps de distància per poder utilitzar l’estimació de la velocitat."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "El llindar de velocitat ha de ser major o igual a 0.1."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "El temps de merodeig ha de ser mes gran o igual a 0."
+        }
+      }
+    },
+    "zones": {
+      "objects": {
+        "title": "Objectes",
+        "desc": "Llista d'objectes que apliquen per aquesta zona."
+      },
+      "speedEstimation": {
+        "lineDDistance": "Distància de la línia D ({{unit}})",
+        "title": "Estimació de velocitat",
+        "docs": "Llegir la documentació",
+        "lineADistance": "Distància de la línia A ({{unit}})",
+        "lineBDistance": "Distància de la línia B ({{unit}})",
+        "lineCDistance": "Distància de la línia C ({{unit}})",
+        "desc": "Habilita l'estimació de velocitat per a objectes dins d'aquesta zona. La zona ha de tenir exactament 4 punts."
+      },
+      "inertia": {
+        "title": "Inèrcia",
+        "desc": "Especifica quants fotogrames ha d’estar un objecte dins d’una zona abans de considerar-se que hi és. <em>Per defecte: 3</em>"
+      },
+      "point_one": "{{count}} punt",
+      "point_many": "{{count}} punts",
+      "point_other": "{{count}} punts",
+      "name": {
+        "inputPlaceHolder": "Introduïu un nom…",
+        "title": "Nom",
+        "tips": "El nom ha de tenir almenys 2 caràcters i no pot coincidir amb el nom d'una càmera ni amb el d'una altra zona."
+      },
+      "label": "Zones",
+      "desc": {
+        "documentation": "Documentació",
+        "title": "Les zones permeten definir una àrea específica de la imatge per tal de determinar si un objecte es troba dins d'una àrea concreta o no."
+      },
+      "add": "Afegir Zona",
+      "edit": "Editar zona",
+      "loiteringTime": {
+        "title": "Temps de merodeig",
+        "desc": "Estableix el temps mínim, en segons, que l'objecte ha d'estar dins la zona perquè s'activi. <em>Per defecte: 0</em>"
+      },
+      "allObjects": "Tots els objectes",
+      "documentTitle": "Edita zona - Frigate",
+      "speedThreshold": {
+        "title": "Llindar de velocitat ({{unit}})",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Zones amb temps de merodeig superior a 0 no s'han d'utilitzar per a l'estimació de velocitat.",
+            "pointLengthError": "L'estimació de velocitat s'ha desactivat per a aquesta zona. Les zones amb estimació de velocitat han de tenir exactament 4 points."
+          }
+        },
+        "desc": "Especifica una velocitat mínima dels objectes per ser considerats dins d'aquesta zona."
+      },
+      "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
+      "toast": {
+        "success": "La zona {{zoneName}} ha estat desada. Reinicia Frigate per a aplicar els canvis."
+      }
+    },
+    "filter": {
+      "all": "Totes les màscares i zones"
+    },
+    "motionMasks": {
+      "desc": {
+        "documentation": "Documentació",
+        "title": "Les màscares de moviment s’utilitzen per evitar que certs tipus de moviment no desitjats activin la detecció. Si s’aplica una màscara excessiva, es dificultarà el seguiment dels objectes."
+      },
+      "context": {
+        "documentation": "Llegir la documentació",
+        "title": "Les màscares de moviment s’utilitzen per evitar que certs tipus de moviment no desitjats activin la detecció (per exemple: branques d’arbres, marques temporals). Les màscares de moviment s’han d’utilitzar <em>amb molta moderació</em>, un excés de màscares dificultarà el seguiment dels objectes."
+      },
+      "polygonAreaTooLarge": {
+        "documentation": "Llegir la documentació",
+        "tips": "Les màscares de moviment no impedeixen la detecció d'objectes. Hauries de fer servir una zona requerida en el seu lloc.",
+        "title": "La màscara de moviment cobreix el {{polygonArea}}% del camp de visió de la càmera. Les màscares de moviment molt grans no son recomanables."
+      },
+      "point_one": "{{count}} punt",
+      "point_many": "{{count}} punts",
+      "point_other": "{{count}} punts",
+      "label": "Màscara de moviment",
+      "add": "Nova màscara de moviment",
+      "edit": "Edita la màscara de moviment",
+      "documentTitle": "Editar la màscara de moviment - Frigate",
+      "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} s'ha desat. Reinicia Frigate per a aplicar els canvis.",
+          "noName": "La màscara de moviment ha estat desada. Reinicia Frigate per aplicar els canvis."
+        }
+      }
+    },
+    "objectMasks": {
+      "documentTitle": "Editar la màscara d'objecte - Frigate",
+      "label": "Màscares d'objecte",
+      "edit": "Editar la màscara d'objecte",
+      "point_one": "{{count}} punt",
+      "point_many": "{{count}} punts",
+      "point_other": "{{count}} punts",
+      "objects": {
+        "allObjectTypes": "Tots els tipus d’objecte",
+        "title": "Objectes",
+        "desc": "El tipus d'objecte que s'aplica a la màscara d'objectes."
+      },
+      "add": "Afegir màscara d'objecte",
+      "desc": {
+        "documentation": "Documentació",
+        "title": "Les màscares de filtratge d’objectes s’utilitzen per descartar falsos positius d’un tipus d’objecte concret segons la seva ubicació."
+      },
+      "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} s'ha desat. Reinicia Frigate per a aplicar els canvis.",
+          "noName": "La màscara d'objectes ha estat desada. Reincia Frigate per a aplicar els canvis."
+        }
+      },
+      "context": "Les màscares de filtratge d’objectes s’utilitzen per descartar falsos positius d’un tipus d’objecte concret segons la seva ubicació."
+    },
+    "restart_required": "Reinici necessari (canvi de màscares o zones)",
+    "motionMaskLabel": "Màscara de moviment {{number}}",
+    "objectMaskLabel": "Màscara d'objecte {{number}} ({{label}})",
+    "toast": {
+      "success": {
+        "copyCoordinates": "S'han copiat les coordenades per a {{polyName}} al porta-retalls."
+      },
+      "error": {
+        "copyCoordinatesFailed": "No s'han pogut copiar les coordenades al porta-retalls."
+      }
+    }
+  },
+  "notification": {
+    "email": {
+      "title": "Correu electrònic",
+      "placeholder": "p. ex. exemple@email.com",
+      "desc": "Es requereix un correu electrònic vàlid que s’utilitzarà per notificar-te si hi ha algun problema amb el servei de notificacions push."
+    },
+    "notificationSettings": {
+      "documentation": "Llegir la documentació",
+      "title": "Paràmetres de notificació",
+      "desc": "Frigate pot enviar notificacions push directament al teu dispositiu quan s’executa des del navegador o està instal·lat com a PWA (aplicació web progressiva)."
+    },
+    "deviceSpecific": "Paràmetres específics del dispositiu",
+    "registerDevice": "Registrar aquest dispositiu",
+    "unregisterDevice": "Desegistrar aquest dispositiu",
+    "cancelSuspension": "Cancel·la la suspensió",
+    "suspendTime": {
+      "untilRestart": "Suspendre fins al reinici",
+      "30minutes": "Suspèn durant 30 minuts",
+      "1hour": "Suspèn durant 1 hora",
+      "12hours": "Suspèn durant 12 hores",
+      "suspend": "Suspendre",
+      "24hours": "Suspèn durant 24 hores",
+      "10minutes": "Suspèn durant 10 minuts",
+      "5minutes": "Suspèn durant 5 minuts"
+    },
+    "toast": {
+      "success": {
+        "settingSaved": "Els paràmetres de notificacions s'han desat.",
+        "registered": "Registre de notificacions realitzat amb èxit. Cal reiniciar Frigate perquè es puguin enviar notificacions (inclosa una notificació de prova)."
+      },
+      "error": {
+        "registerFailed": "No s'ha pogut desar el registre de notificacions."
+      }
+    },
+    "cameras": {
+      "title": "Càmeres",
+      "noCameras": "Sense càmeres disponibles",
+      "desc": "Selecciona per a quines càmeres s'han d'habilitar les notificacions."
+    },
+    "title": "Notificacions",
+    "notificationUnavailable": {
+      "title": "Notificacions no disponibles",
+      "documentation": "Llegir la documentació",
+      "desc": "Les notificacions push web requereixen un context segur (<code>https://…</code>). Aquesta és una limitació del navegador. Accedeix a Frigate de manera segura per utilitzar les notificacions."
+    },
+    "unsavedChanges": "Canvis de notificació no desats",
+    "globalSettings": {
+      "title": "Paràmetres globals",
+      "desc": "Suspendre temporalment les notificacions per a certes càmeres per tots els dispositius registrats."
+    },
+    "active": "Notificacions actives",
+    "suspended": "Notificacions suspeses {{time}}",
+    "unsavedRegistrations": "Registres de notificació no desats",
+    "sendTestNotification": "Enviar una notificació de prova"
+  },
+  "camera": {
+    "streams": {
+      "title": "Transmissions",
+      "desc": "Desactiva temporalment una càmera fins que es reiniciï Frigate. La desactivació d'una càmera atura completament el processament de les transmissions d'aquesta càmera per part de Frigate. La detecció, gravació i depuració no estaran disponibles.<br /><em>Nota: Això no desactiva les retransmissions de go2rtc.</em>"
+    },
+    "title": "Paràmetres de la càmera",
+    "reviewClassification": {
+      "title": "Revisar la classificació",
+      "readTheDocumentation": "Llegir la documentació",
+      "selectAlertsZones": "Seleccionar zones per alertes",
+      "limitDetections": "Limitar deteccions a zones específiques",
+      "selectDetectionsZones": "Seleccionar zones per deteccions",
+      "unsavedChanges": "Paràmetres de la revisió de classificació no guardats per a {{camera}}",
+      "noDefinedZones": "No s'han definit zones per a aquesta càmera.",
+      "objectAlertsTips": "Tots els objectes {{alertsLabels}} a {{cameraName}} es mostraràn com a Alertes.",
+      "zoneObjectAlertsTips": "Tots els objectes {{alertsLabels}} detectats a la {{zone}} de {{cameraName}} es mostraràn com a Alertes.",
+      "toast": {
+        "success": "S'ha desat la configuració de la classificació de revisió. Reinicia Frigate per aplicar els canvis."
+      },
+      "zoneObjectDetectionsTips": {
+        "text": "Tots els objectes {{detectionsLabels}} no classificats a la {{zone}} de {{cameraName}} es mostraràn com a Deteccions.",
+        "notSelectDetections": "Tots els objectes {{detectionsLabels}} detectats a {{zone}} de la càmera {{cameraName}} que no estiguin categoritzats com a Alertes es mostraran com a Deteccions, independentment de la zona en què es trobin.",
+        "regardlessOfZoneObjectDetectionsTips": "Tots els objectes {{detectionsLabels}} no categoritzats a {{cameraName}} es mostraran com a Deteccions independentment de la zona en què es trobin."
+      },
+      "objectDetectionsTips": "Tots els objectes {{detectionsLabels}} no categoritzats a {{cameraName}} es mostraran com a Deteccions independentment de la zona en què es trobin.",
+      "desc": "Frigate categoritza els elements de revisió com a Alertes i Deteccions. Per defecte, tots els objectes de tipus <em>persona</em> i <em>cotxe</em> es consideren Alertes. Pots afinar la categorització dels teus elements de revisió configurant zones requerides per a aquests."
+    },
+    "review": {
+      "alerts": "Alertes ",
+      "detections": "Deteccions ",
+      "title": "Revisar",
+      "desc": "Habilita o deshabilita temporalment les alertes i deteccions per a aquesta càmera fins que es reiniciï Frigate. Quan estigui desactivat, no es generaran nous elements de revisió. "
+    }
+  },
+  "motionDetectionTuner": {
+    "Threshold": {
+      "title": "Llindar",
+      "desc": "El valor del llindar determina quanta variació en la luminància d’un píxel cal perquè es consideri moviment. <em>Per defecte: 30</em>"
+    },
+    "contourArea": {
+      "title": "Àrea de contorn",
+      "desc": "El valor de l’àrea del contorn s’utilitza per decidir quins grups de píxels canviats es consideren moviment. <em>Valor per defecte: 10</em>"
+    },
+    "desc": {
+      "documentation": "Llegeix la guia d'ajust de detecció de moviment",
+      "title": "Frigate utilitza la detecció de moviment com a primer filtre per comprovar si hi ha alguna activitat a la imatge que valgui la pena analitzar amb la detecció d’objectes."
+    },
+    "improveContrast": {
+      "title": "Millorar contrast",
+      "desc": "Millora el contrast per les escenes fosques. <em>Predeterminat: ACTIVAT</em>"
+    },
+    "title": "Afinador de detecció de moviment",
+    "toast": {
+      "success": "Els ajustos de la detecció de moviment s'han desat."
+    },
+    "unsavedChanges": "Canvis no desats en l'ajust de moviment {{camera}}"
+  },
+  "debug": {
+    "title": "Depuració",
+    "objectList": "Llista d'objectes",
+    "noObjects": "Cap objecte",
+    "debugging": "Depurant",
+    "mask": {
+      "title": "Màscares de moviment",
+      "desc": "Mostra els polígons de la màscara de moviment"
+    },
+    "regions": {
+      "title": "Regions",
+      "desc": "Mostre un requadre de la regió d'interés enviat al detector d'objectes",
+      "tips": "<p><strong>Requadres de Regió</strong></p><br><p>Requadres verds es sobreposaran a les àrees d’interès de la imatge que s'envien al detector d’objectes.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "score": "Puntuació",
+      "document": "Llegir la documentació ",
+      "ratio": "Proporció",
+      "area": "Àrea",
+      "title": "Dibuix del filtre de forma de l'objecte",
+      "desc": "Dibuixa un rectangle a la imatge per veure detalls d'àrea i proporció",
+      "tips": "Habilita aquesta opció per dibuixar un rectangle a la imatge de la càmera que mostri la seva àrea i proporció. Aquests valors es poden utilitzar després per configurar els paràmetres del filtre de forma d’objecte a la teva configuració."
+    },
+    "zones": {
+      "title": "Zones",
+      "desc": "Mostra el contorn per a qualsevol zona definida"
+    },
+    "timestamp": {
+      "title": "Marca temporal",
+      "desc": "Superposa una marca temporal a la imatge"
+    },
+    "boundingBoxes": {
+      "title": "Caixes delimitadores",
+      "colors": {
+        "label": "Colors de la caixa delimitadora de l'objecte",
+        "info": "<li>En iniciar, s'assignarà un color diferent a cada etiqueta d’objecte</li> <li>Una línia fina de color blau fosc indica que l’objecte no està detectat en aquest moment</li> <li>Una línia fina de color gris indica que l’objecte està detectat com a estacionari</li> <li>Una línia gruixuda indica que l’objecte és el subjecte de l’autoseguiment (quan està activat)</li>"
+      },
+      "desc": "Mostra les caixes delimitadores al voltant dels objectes rastrejats"
+    },
+    "motion": {
+      "title": "Caixes de moviment",
+      "desc": "Mostra requadres al voltant de les àrees on s'ha detectat moviment",
+      "tips": "<p><strong>Caixes de moviment</strong></p><br><p>Es sobreposaran requadres vermells a les àrees del fotograma on actualment s’estigui detectant moviment.</p>"
+    },
+    "detectorDesc": "Frigate fa servir els teus detectors ({{detectors}}) per a detectar objectes a les imatges de la teva càmera.",
+    "desc": "La vista de depuració mostra en temps real els objectes rastrejats i les seves estadístiques. La llista d’objectes mostra un resum amb retard temporal dels objectes detectats."
+  },
+  "users": {
+    "table": {
+      "username": "Nom d'usuari",
+      "password": "Contrasenya",
+      "deleteUser": "Suprimir usuari",
+      "noUsers": "No s'han trobat usuaris.",
+      "changeRole": "Canviar la funció d’usuari",
+      "actions": "Accions",
+      "role": "Rol"
+    },
+    "toast": {
+      "error": {
+        "deleteUserFailed": "No s'ha pogut eliminar l'usuari: {{errorMessage}}",
+        "roleUpdateFailed": "No s'ha pogut actualitzar la funció: {{errorMessage}}",
+        "setPasswordFailed": "Error en guardar la contrasenya: {{errorMessage}}",
+        "createUserFailed": "No s'ha pogut crear l'usuari: {{errorMessage}}"
+      },
+      "success": {
+        "deleteUser": "L'usuari {{user}} s'ha suprimit amb èxit",
+        "createUser": "L'Usuari {{user}} s'ha creat amb èxit",
+        "updatePassword": "Contrasenya actualitzada amb èxit.",
+        "roleUpdated": "Funció actualitzada per {{user}}"
+      }
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Nom d'usuari",
+          "placeholder": "Introdueix el nom d'usuari",
+          "desc": "Només es permeten lletres, números, punts i guions baixos."
+        },
+        "password": {
+          "confirm": {
+            "placeholder": "Confirma contrasenya",
+            "title": "Confirma contrasenya"
+          },
+          "strength": {
+            "title": "Seguretat de la contrasenya: ",
+            "weak": "Dèbil",
+            "strong": "Fort",
+            "veryStrong": "Molt forta",
+            "medium": "Mitjana"
+          },
+          "notMatch": "Les contrasenyes no coincideixen",
+          "match": "Les contrasenyes coincideixen",
+          "placeholder": "Introdueix la contrasenya",
+          "title": "Contrasenya"
+        },
+        "newPassword": {
+          "title": "Nova contrasenya",
+          "placeholder": "Introduïu una nova contrasenya",
+          "confirm": {
+            "placeholder": "Re-entrar contrasenya nova"
+          }
+        },
+        "usernameIsRequired": "El nom d'usuari és obligatori",
+        "passwordIsRequired": "La contrasenya és obligatoria"
+      },
+      "passwordSetting": {
+        "updatePassword": "Contrasenya actualitzada per {{username}}",
+        "setPassword": "Estableix Contrasenya",
+        "cannotBeEmpty": "La contrasenya no pot ser buida",
+        "doNotMatch": "Les contrasenyes no coincideixen",
+        "desc": "Crea un nova contrasenya segura per protegir aquest compte."
+      },
+      "deleteUser": {
+        "title": "Suprimir usuari",
+        "warn": "Estàs segur que vols suprimir <strong>{{username}}</strong>?",
+        "desc": "Aquesta acció no es pot desfer. Això eliminarà permanentment el compte d'usuari i suprimirà totes les dades associades."
+      },
+      "changeRole": {
+        "roleInfo": {
+          "viewer": "Visualitzador",
+          "admin": "Administrador",
+          "adminDesc": "Accés complet a totes les funcionalitats.",
+          "intro": "Selecciona el rol adequat per a aquest usuari:",
+          "viewerDesc": "Limitat només a panells en directe, revisió, exporació i exportació."
+        },
+        "title": "Canviar la funció d’usuari",
+        "desc": "Actualitzar permisos per a <strong>{{username}}</strong>",
+        "select": "Seleccioneu un paper"
+      },
+      "createUser": {
+        "title": "Crear un nou usuari",
+        "confirmPassword": "Siusplau, confirma la contrasenya",
+        "usernameOnlyInclude": "El nom d'usuari només pot contenir lletres, números, . o _",
+        "desc": "Afegeix un nou compte d'usuari i especifica un rol per accedir a àrees de la interfície de Frigate."
+      }
+    },
+    "title": "Usuaris",
+    "addUser": "Afegir usuari",
+    "management": {
+      "title": "Gestió d'usuaris",
+      "desc": "Gestioneu els comptes d'usuari d'aquesta instància de Frigate."
+    },
+    "updatePassword": "Actualitzar contrasenya"
+  },
+  "frigatePlus": {
+    "snapshotConfig": {
+      "table": {
+        "camera": "Càmera",
+        "snapshots": "Instantànies",
+        "cleanCopySnapshots": "<code>clean_copy</code> Instantànies"
+      },
+      "title": "Configuració d'instantànies",
+      "documentation": "Llegir la documentació",
+      "desc": "Per a enviar a Frigate+ fa falta que tan la instantània com la instantània <code>clean_copy</code> estiguin habilitades a la configuració.",
+      "cleanCopyWarning": "Algunes càmeres tenen les captures d'imatge activades però la còpia neta desactivada. Cal habilitar <code>clean_copy</code> a la configuració de captures per poder enviar imatges d’aquestes càmeres a Frigate+."
+    },
+    "modelInfo": {
+      "baseModel": "Model base",
+      "modelType": "Tipus de model",
+      "trainDate": "Data d'entrenament",
+      "title": "Informació del model",
+      "supportedDetectors": "Detectors compatibles",
+      "availableModels": "Models disponibles",
+      "cameras": "Càmeres",
+      "plusModelType": {
+        "userModel": "Afinat",
+        "baseModel": "Model base"
+      },
+      "loadingAvailableModels": "Carregant models disponibles…",
+      "loading": "Carregant informació del model…",
+      "error": "No s'ha pogut carregar la informació del model",
+      "modelSelect": "Els models disponibles a Frigate+ es poden seleccionar aquí. Tingues en compte que només es poden triar els models compatibles amb la configuració actual del detector."
+    },
+    "apiKey": {
+      "plusLink": "Llegeix més sobre Frigate+",
+      "title": "Clau API de Frigate+",
+      "validated": "La clau API de Frigate+ ha estat detectada i validada",
+      "notValidated": "La clau API de Frigate+ no ha estat detectada o no ha estat validada",
+      "desc": "La clau API de Frigate+ habilita la integració amb el servei Frigate+."
+    },
+    "unsavedChanges": "Canvis dels paràmetres de Frigate+ sense desar",
+    "title": "Paràmetres de Frigate+",
+    "toast": {
+      "error": "No s'han pogut guardar els canvis de configuració: {{errorMessage}}",
+      "success": "Els paràmetres de Frigate+ han estat desats. Reincia Frigate per aplicar els canvis."
+    },
+    "restart_required": "Es necessari un reinici (El model de Frigate+ ha cambiat)"
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "modelSize": {
+        "small": {
+          "title": "petit",
+          "desc": "L’opció <em>small</em> fa servir una versió quantitzada del model que consumeix menys RAM i s’executa més ràpidament a la CPU, amb una diferència gairebé inapreciable en la qualitat de les incrustacions (embeddings)."
+        },
+        "label": "Mida del model",
+        "large": {
+          "title": "gran",
+          "desc": "L’opció <em>large</em> fa servir el model complet de Jina i s’executarà automàticament a la GPU si està disponible."
+        },
+        "desc": "La mida del model utilitzat per incrustacions de cerca semàntica."
+      },
+      "reindexNow": {
+        "confirmButton": "Reindexar",
+        "success": "La reindexació ha començat amb èxit.",
+        "label": "Reindexar ara",
+        "confirmTitle": "Confirmar la reindexació",
+        "desc": "La reindexació regenerarà les incrustacions (embeddings) de tots els objectes seguits. Aquest procés s’executa en segon pla i pot arribar a saturar la CPU, així com trigar una bona estona depenent del nombre d’objectes seguits que tinguis.",
+        "confirmDesc": "Estàs segur que vols reindexar totes les incrustacions (embeddings) dels objectes seguits? Aquest procés s’executarà en segon pla, però pot arribar a saturar la CPU i trigar bastant temps. Pots seguir-ne el progrés a la pàgina d’Explora.",
+        "alreadyInProgress": "La reindexació ja està en curs.",
+        "error": "Error en iniciar la reindexació: {{errorMessage}}"
+      },
+      "readTheDocumentation": "Llegir la documentació",
+      "title": "Cerca semàntica",
+      "desc": "La cerca semàntica a Frigate permet trobar objectes rastrejats dins dels elements de revisió utilitzant la pròpia imatge, una descripció de text definida per l'usuari o una de generada automàticament."
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "small": {
+          "title": "petit",
+          "desc": "Fer servir la opció <em>petit</em> fa servir un model d'embedding de rostre de FaceNet que d'executa de manera eficient a la majoria de les CPUs."
+        },
+        "large": {
+          "title": "gran",
+          "desc": "L’opció <em>large</em> fa servir el model d'embedding de rostres d'ArcFace i s’executarà automàticament a la GPU si està disponible."
+        },
+        "label": "Mida del model",
+        "desc": "La mida del model utilitzat per al reconeixement facial."
+      },
+      "readTheDocumentation": "Llegir la documentació",
+      "title": "Reconeixement de rostres",
+      "desc": "El reconeixement facial permet a les persones assignar noms i quan es reconeix la seva cara Frigate assignarà el nom de la persona com a subetiqueta. Aquesta informació s'inclou en la interfície d'usuari, filtres, així com en les notificacions."
+    },
+    "unsavedChanges": "Canvis dels paràmetres complementaris sense desar",
+    "licensePlateRecognition": {
+      "readTheDocumentation": "Llegir la documentació",
+      "title": "Reconeixement de matrícules",
+      "desc": "Frigate pot reconèixer les plaques de matrícula en vehicles i afegir automàticament els caràcters detectats al camp de la placa reconeguda o un nom conegut com a sub_etiqueta en objectes que són de tipus cotxe. Un cas d'ús comú pot ser llegir les plaques de matrícula dels cotxes que entren en un lloc o els cotxes que passen per un carrer."
+    },
+    "birdClassification": {
+      "title": "Classificació d'ocells",
+      "desc": "La classificació d’ocells identifica ocells coneguts mitjançant un model TensorFlow quantitzat. Quan es reconeix un ocell conegut, el seu nom comú s’afegeix com a subetiqueta. Aquesta informació es mostra a la interfície d’usuari, als filtres i també a les notificacions."
+    },
+    "title": "Parmàmetres complementaris",
+    "toast": {
+      "error": "No s'han pogut guardar els canvis de configuració: {{errorMessage}}",
+      "success": "Els paràmetres complementaris s'han desat. Reinicia Frigate per aplicar els canvis."
+    },
+    "restart_required": "És necessari reiniciar (Han cambiat paràmetres complementaris)"
+  }
+}
diff --git a/web/public/locales/ca/views/system.json b/web/public/locales/ca/views/system.json
new file mode 100644
index 000000000..d4d63a31d
--- /dev/null
+++ b/web/public/locales/ca/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Estadístiques de càmera - Frigate",
+    "storage": "Estadístiques d'emmagatzematge - Frigate",
+    "general": "Estadístiques generals - Frigate",
+    "logs": {
+      "frigate": "Registres de Frigate - Frigate",
+      "go2rtc": "Registres de Go2RTC - Frigate",
+      "nginx": "Registres de Nginix - Frigate"
+    },
+    "enrichments": "Estadístiques complementàries - Frigate"
+  },
+  "title": "Sistema",
+  "metrics": "Mètriques del sistema",
+  "logs": {
+    "download": {
+      "label": "Descarregar registres"
+    },
+    "copy": {
+      "label": "Copiar al porta-retalls",
+      "success": "Registres copiats al porta-retalls",
+      "error": "No s'han pogut copiar els registres al porta-retalls"
+    },
+    "type": {
+      "label": "Tipus",
+      "timestamp": "Marca temporal",
+      "tag": "Etiqueta",
+      "message": "Missatge"
+    },
+    "tips": "Els registres s'estàn transmetent des del servidor",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Error al obtenir els registres: {{errorMessage}}",
+        "whileStreamingLogs": "Error en la transmissió dels registres: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "detector": {
+      "memoryUsage": "Ús de memòria del detector",
+      "title": "Detectors",
+      "inferenceSpeed": "Velocitat d'inferència del detector",
+      "cpuUsage": "Ús de CPU del detector",
+      "temperature": "Temperatura del detector"
+    },
+    "title": "General",
+    "hardwareInfo": {
+      "title": "Informació de maquinari",
+      "gpuUsage": "Ús de la GPU",
+      "gpuMemory": "Memòria de GPU",
+      "gpuDecoder": "Decodificador de GPU",
+      "gpuEncoder": "Codificador de GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Sortida de Vainfo",
+          "processOutput": "Sortida del procés:",
+          "processError": "Error de procés:",
+          "returnCode": "Codi de retorn: {{code}}"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Sortida de Nvidia SMI",
+          "vbios": "Informació de VBios: {{vbios}}",
+          "cudaComputerCapability": "Capacitat de càlcul CUDA: {{cuda_compute}}",
+          "name": "Nom: {{name}}",
+          "driver": "Controlador: {{driver}}"
+        },
+        "closeInfo": {
+          "label": "Tancar informació de GPU"
+        },
+        "copyInfo": {
+          "label": "Copiar informació de GPU"
+        },
+        "toast": {
+          "success": "Informació de GPU copiada al porta-retalls"
+        }
+      },
+      "npuUsage": "Ús de NPU",
+      "npuMemory": "Memòria de NPU"
+    },
+    "otherProcesses": {
+      "title": "Altres processos",
+      "processMemoryUsage": "Ús de memòria de procés",
+      "processCpuUsage": "Ús de la CPU del procés"
+    }
+  },
+  "storage": {
+    "title": "Emmagatzematge",
+    "recordings": {
+      "title": "Gravacions",
+      "earliestRecording": "Gravació més antiga disponible:",
+      "tips": "Aquest valor representa l'emmagatzematge total utilitzat per les gravacions a la base de dades de Frigate. Frigate no registre l'ús de tots els arxius del disc."
+    },
+    "cameraStorage": {
+      "camera": "Càmera",
+      "unusedStorageInformation": "Informació d'emmagatzematge no utilitzat",
+      "bandwidth": "Ample de banda",
+      "storageUsed": "Emmagatzematge",
+      "title": "Emmagatzematge de càmera",
+      "unused": {
+        "title": "Sense utilitzar",
+        "tips": "Aquest valor pot no de forma exacta representar l'espai lliure disponible a Frigate si tens altres fitxers emmagatzemats en la vostra unitat més enllà dels registres de Frigate. Frigate no rastreja l'ús d'emmagatzematge extern als seus registres."
+      },
+      "percentageOfTotalUsed": "Percentatge del total"
+    },
+    "overview": "Visió general"
+  },
+  "cameras": {
+    "framesAndDetections": "Fotogrames / Deteccions",
+    "label": {
+      "capture": "captura",
+      "cameraDetect": "{{camName}} detectar",
+      "cameraCapture": "{{camName}} captura",
+      "camera": "càmera",
+      "skipped": "omès",
+      "ffmpeg": "FFmpeg",
+      "detect": "detectar",
+      "overallFramesPerSecond": "Fotogrames per segon globals",
+      "overallDetectionsPerSecond": "Deteccions per segon globals",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraFramesPerSecond": "{{camName}} fotogrames per segon",
+      "cameraDetectionsPerSecond": "{{camName}} deteccions per segon",
+      "overallSkippedDetectionsPerSecond": "Nombre total de deteccions descartades per segon",
+      "cameraSkippedDetectionsPerSecond": "Nombre de deteccions descartades per segon a {{camName}}"
+    },
+    "info": {
+      "codec": "Còdec:",
+      "fps": "FPS:",
+      "resolution": "Resolució:",
+      "video": "Vídeo:",
+      "unknown": "Desconegut",
+      "stream": "Transmissió {{idx}}",
+      "error": "Error: {{error}}",
+      "fetching": "Obtenint dades de càmera",
+      "aspectRatio": "relació d'aspecte",
+      "tips": {
+        "title": "Informació del sondeig de la càmera"
+      },
+      "audio": "Àudio:",
+      "cameraProbeInfo": "Informació del sondeig de la càmera {{camera}}",
+      "streamDataFromFFPROBE": "Les dades de la transmissió són obtingudes mitjançant <code>ffprobe</code>."
+    },
+    "title": "Càmeres",
+    "overview": "Visió general",
+    "toast": {
+      "success": {
+        "copyToClipboard": "S'han copiat les dades de sondeig al porta-retalls."
+      },
+      "error": {
+        "unableToProbeCamera": "No s'ha pogut sondejar la càmera: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Darrera actualització: ",
+  "stats": {
+    "reindexingEmbeddings": "Reindexant incrustacions ({{processed}}% completat)",
+    "healthy": "El sistema és saludable",
+    "cameraIsOffline": "{{camera}} està fora de línia",
+    "ffmpegHighCpuUsage": "{{camera}} te un ús elevat de CPU per FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} te un ús elevat de CPU per la detecció ({{detectAvg}}%)",
+    "detectIsVerySlow": "{{detect}} és molt lent ({{speed}} ms)",
+    "detectIsSlow": "{{detect}} és lent ({{speed}} ms)"
+  },
+  "enrichments": {
+    "title": "Enriquiments",
+    "embeddings": {
+      "face_recognition_speed": "Velocitat de reconeixement facial",
+      "image_embedding": "Incrustació d'imatges",
+      "text_embedding": "Incrustació de text",
+      "face_recognition": "Reconeixement de rostres",
+      "plate_recognition": "Reconeixemnt de matrícules",
+      "image_embedding_speed": "Velocitat d'ncrustació d'imatges",
+      "face_embedding_speed": "Velocitat d'incrustació de rostres",
+      "plate_recognition_speed": "Velocitat de reconeixement de matrícules",
+      "text_embedding_speed": "Velocitat d'incrustació de text",
+      "yolov9_plate_detection": "Detecció de matrícules YOLOv9",
+      "yolov9_plate_detection_speed": "Velocitat de detecció de matrícules YOLOv9"
+    },
+    "infPerSecond": "Inferències per segon"
+  }
+}
diff --git a/web/public/locales/cs/audio.json b/web/public/locales/cs/audio.json
new file mode 100644
index 000000000..4308f7487
--- /dev/null
+++ b/web/public/locales/cs/audio.json
@@ -0,0 +1,429 @@
+{
+  "yell": "Křik",
+  "child_singing": "Dětský zpěv",
+  "speech": "Řeč",
+  "babbling": "Blábolení",
+  "bellow": "Řev",
+  "whoop": "Výskání",
+  "whispering": "Šeptání",
+  "snicker": "Chichotání",
+  "crying": "Pláč",
+  "sigh": "Povzdech",
+  "singing": "Zpěv",
+  "choir": "Sbor",
+  "yodeling": "Jódlování",
+  "synthetic_singing": "Umělý zpěv",
+  "humming": "Bzukot",
+  "groan": "Sténání",
+  "whistling": "Pískot",
+  "breathing": "Dech",
+  "wheeze": "Sípání",
+  "snoring": "Chrapot",
+  "snort": "Funění",
+  "cough": "Kašel",
+  "throat_clearing": "Odkašlávání",
+  "sneeze": "Kýchání",
+  "footsteps": "Kroky",
+  "chewing": "Žvýkání",
+  "biting": "Kousání",
+  "burping": "Krkání",
+  "hiccup": "Škytání",
+  "fart": "Prdění",
+  "hands": "Ruce",
+  "finger_snapping": "Luskání prstem",
+  "clapping": "Tleskání",
+  "heartbeat": "Tluk srdce",
+  "cheering": "Jásání",
+  "applause": "Potlesk",
+  "chatter": "Klábosení",
+  "crowd": "Dav",
+  "children_playing": "Hrající si děti",
+  "bark": "Štěkot",
+  "howl": "Vytí",
+  "growling": "Vrkot",
+  "whimper_dog": "Psí kníkot",
+  "cat": "Kočka",
+  "purr": "Předení",
+  "meow": "Mňouk",
+  "hiss": "Sykot",
+  "livestock": "Hospodářská zvířata",
+  "horse": "Kůň",
+  "neigh": "Řehtání",
+  "cattle": "Dobytek",
+  "moo": "Bučení",
+  "cowbell": "Kravský zvonec",
+  "pig": "Prase",
+  "oink": "Chrochtání",
+  "fowl": "Drůbež",
+  "chicken": "Slepice",
+  "cluck": "Kvokání",
+  "cock_a_doodle_doo": "Kykyryký",
+  "turkey": "Krocan",
+  "gobble": "Hudrování",
+  "duck": "Kachna",
+  "quack": "Kvákání",
+  "goose": "Husa",
+  "honk": "Kejhání",
+  "wild_animals": "Divoká zvířata",
+  "roaring_cats": "Řvoucí kočky",
+  "roar": "Řev",
+  "bird": "Pták",
+  "chirp": "Cvrlikání",
+  "pigeon": "Holub",
+  "coo": "Vrkání",
+  "squawk": "Skřekání",
+  "crow": "Vrána",
+  "caw": "Krákání",
+  "hoot": "Houkání",
+  "flapping_wings": "Mávání křídel",
+  "dogs": "Psi",
+  "mouse": "Myš",
+  "insect": "Hmyz",
+  "fly": "Moucha",
+  "buzz": "Bzučení",
+  "frog": "Žába",
+  "snake": "Had",
+  "croak": "Kvákání žáby",
+  "rattle": "Chrastění",
+  "whale_vocalization": "Velrybí zpěv",
+  "music": "Hudba",
+  "guitar": "Kytara",
+  "bass_guitar": "Basová kytara",
+  "steel_guitar": "Ocelová kytara",
+  "tapping": "Ťukání",
+  "banjo": "Banjo",
+  "sitar": "Sitár",
+  "mandolin": "Mandolína",
+  "zither": "Citera",
+  "ukulele": "Ukulele",
+  "keyboard": "Klávesnice",
+  "electric_piano": "Elektrický klavír",
+  "electronic_organ": "Elektronické varhany",
+  "hammond_organ": "Hammondovy varhany",
+  "synthesizer": "Syntezátor",
+  "sampler": "Sampler",
+  "harpsichord": "Cembalo",
+  "percussion": "Perkuse",
+  "drum_kit": "Bubny",
+  "drum_machine": "Bicí automat",
+  "drum": "Buben",
+  "snare_drum": "Malý buben",
+  "rimshot": "Rána na obruč",
+  "drum_roll": "Víření",
+  "timpani": "Tympány",
+  "tabla": "Tabla",
+  "cymbal": "Činel",
+  "hi_hat": "Hi-hat",
+  "wood_block": "Dřevěný blok",
+  "tambourine": "Tamburína",
+  "maraca": "Maraka",
+  "gong": "Gong",
+  "marimba": "Marimba",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Ocelový buben",
+  "orchestra": "Orchestr",
+  "brass_instrument": "Žesťový nástroj",
+  "french_horn": "Lesní roh",
+  "trumpet": "Trubka",
+  "trombone": "Trombón",
+  "violin": "Housle",
+  "saxophone": "Saxofon",
+  "church_bell": "Kostelní zvon",
+  "bicycle_bell": "Cyklistický zvonek",
+  "tuning_fork": "Ladička",
+  "chime": "Zvonění",
+  "harmonica": "Harmonika",
+  "accordion": "Akordeon",
+  "bagpipes": "Dudy",
+  "didgeridoo": "Didžeridu",
+  "theremin": "Theremin",
+  "scratching": "Škrábání",
+  "pop_music": "Popová muzika",
+  "hip_hop_music": "Hip-hopová muzika",
+  "rock_music": "Rocková muzika",
+  "heavy_metal": "Heavy metal",
+  "music_for_children": "Hudba pro děti",
+  "song": "Píseň",
+  "thunderstorm": "Bouře",
+  "wind": "Vítr",
+  "rustling_leaves": "Šustění listů",
+  "wind_noise": "Zvuk větru",
+  "thunder": "Hrom",
+  "water": "Voda",
+  "rain": "Déšť",
+  "raindrop": "Dešťové kapky",
+  "stream": "Potok",
+  "waterfall": "Vodopád",
+  "ocean": "Moře",
+  "waves": "Vlny",
+  "steam": "Pára",
+  "fire": "Oheň",
+  "crackle": "Praskání",
+  "vehicle": "Vozidlo",
+  "sailboat": "Plachetnice",
+  "boat": "Člun",
+  "ship": "Loď",
+  "rowboat": "Loďka",
+  "motorboat": "Motorový člun",
+  "motor_vehicle": "Motorové vozidlo",
+  "car": "Auto",
+  "laughter": "Smích",
+  "sniff": "Čichání",
+  "stomach_rumble": "Kručení v břiše",
+  "gargling": "Kloktání",
+  "dog": "Pes",
+  "run": "Běh",
+  "cricket": "Cvrček",
+  "glockenspiel": "Paličková zvonkohra",
+  "cello": "Cello",
+  "pets": "Domácí mazlíčci",
+  "opera": "Opera",
+  "harp": "Harfa",
+  "animal": "Zvíře",
+  "electric_guitar": "Elektrická kytara",
+  "piano": "Klavír",
+  "goat": "Koza",
+  "bleat": "Mečení",
+  "sheep": "Ovce",
+  "owl": "Sova",
+  "musical_instrument": "Hudební nástroj",
+  "organ": "Varhany",
+  "rats": "Krysy",
+  "mosquito": "Komár",
+  "strum": "Brnkání",
+  "tubular_bells": "Trubicové zvony",
+  "acoustic_guitar": "Akustická kytara",
+  "bass_drum": "Basový buben",
+  "jazz": "Jazz",
+  "flute": "Flétna",
+  "clarinet": "Klarinet",
+  "bell": "Zvon",
+  "techno": "Techno",
+  "electronic_music": "Elektronická muzika",
+  "car_alarm": "Autoalarm",
+  "power_windows": "Elektrická okénka",
+  "skidding": "Smyk",
+  "tire_squeal": "Kvílení pneumatik",
+  "car_passing_by": "Projíždějící auto",
+  "air_brake": "Vzduchové brzdy",
+  "air_horn": "Vzduchový klakson",
+  "bus": "Autobus",
+  "police_car": "Policejní auto",
+  "ambulance": "Záchranka",
+  "fire_engine": "Hasiči",
+  "motorcycle": "Motorka",
+  "rail_transport": "Železnice",
+  "train": "Vlak",
+  "train_horn": "Troubení vlaku",
+  "railroad_car": "Železniční vagon",
+  "subway": "Metro",
+  "aircraft": "Letadlo",
+  "aircraft_engine": "Motor letadla",
+  "bicycle": "Cyklistické kolo",
+  "jet_engine": "Tryskový motor",
+  "propeller": "Vrtule",
+  "helicopter": "Helikoptéra",
+  "dental_drill's_drill": "Zubní vrtačka",
+  "lawn_mower": "Sekačka",
+  "chainsaw": "Motorová pila",
+  "idling": "Bežící motor",
+  "accelerating": "Přidávání plynu",
+  "door": "Dveře",
+  "doorbell": "Zvonek",
+  "sliding_door": "Posuvné dveře",
+  "slam": "Bouchnutí",
+  "knock": "Klepání",
+  "dishes": "Nádobí",
+  "cutlery": "Příbory",
+  "chopping": "Krájení",
+  "bathtub": "Vana",
+  "hair_dryer": "Fén",
+  "toilet_flush": "Spláchnutí záchodu",
+  "toothbrush": "Zubní kartáček",
+  "electric_toothbrush": "Elektrický zubní kartáček",
+  "vacuum_cleaner": "Vysavač",
+  "zipper": "Zip",
+  "keys_jangling": "Cinkání klíčů",
+  "coin": "Mince",
+  "scissors": "Nůžky",
+  "electric_shaver": "Elektrický holící strojek",
+  "typing": "Psaní na stroji nebo klávesnici",
+  "typewriter": "Psací stroj",
+  "computer_keyboard": "Počítačová klávesnice",
+  "writing": "Psaní",
+  "alarm": "Alarm",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Zvonění telefonu",
+  "telephone_dialing": "Vytáčení",
+  "alarm_clock": "Budík",
+  "siren": "Siréna",
+  "smoke_detector": "Detektor kouře",
+  "fire_alarm": "Požární alarm",
+  "foghorn": "Mlhovka",
+  "whistle": "Píšťalka",
+  "mechanisms": "Mechanismy",
+  "clock": "Hodiny",
+  "tick-tock": "Ťikťak",
+  "tick": "Ťik",
+  "sewing_machine": "Šicí stroj",
+  "air_conditioning": "Klimatizace",
+  "cash_register": "Kasa",
+  "printer": "Tiskárna",
+  "camera": "Kamera",
+  "tools": "Nářadí",
+  "hammer": "Kladivo",
+  "jackhammer": "Sbíječka",
+  "sawing": "Řezání",
+  "power_tool": "Elektrické nářadí",
+  "drill": "Vrtačka",
+  "explosion": "Exploze",
+  "gunshot": "Výstřel",
+  "fireworks": "Ohňostroj",
+  "firecracker": "Petarda",
+  "eruption": "Erupce",
+  "boom": "Třesk",
+  "wood": "Dřevo",
+  "splinter": "Tříska",
+  "glass": "Sklo",
+  "shatter": "Roztříštění",
+  "silence": "Ticho",
+  "sound_effect": "Zvukový efekt",
+  "environmental_noise": "Okolní hluk",
+  "white_noise": "Bilý šum",
+  "radio": "Rádio",
+  "scream": "Výkřik",
+  "microwave_oven": "Mikrovlnka",
+  "race_car": "Závodní auto",
+  "ding-dong": "Cink",
+  "water_tap": "Vodovodní kohoutek",
+  "sink": "Dřez",
+  "pink_noise": "Růžový šum",
+  "frying": "Smažení",
+  "television": "Televize",
+  "blender": "Mixér",
+  "train_whistle": "Houkání vlaku",
+  "engine": "Motor",
+  "engine_starting": "Startující motor",
+  "truck": "Nákladní auto",
+  "static": "Šum",
+  "engine_knocking": "Klepání v motoru",
+  "skateboard": "Skateboard",
+  "chant": "Skandování",
+  "rapping": "Rapování",
+  "gasp": "Zalapání po dechu",
+  "heart_murmur": "Srdeční šelest",
+  "mantra": "Mantra (pozitivní vibrace)",
+  "grunt": "Zabručení",
+  "pant": "Oddechávání",
+  "shuffle": "Míchání (karet)",
+  "yip": "Jo",
+  "bow_wow": "Hlasitý protest",
+  "caterwaul": "Vřeštět",
+  "clip_clop": "Klapání kopyt",
+  "patter": "Plácání",
+  "plucked_string_instrument": "Drnkací strunný nástroj",
+  "mallet_percussion": "Palička perkuse",
+  "bowed_string_instrument": "Smyčcový nástroj",
+  "string_section": "Smyčcová sekce",
+  "pizzicato": "Pizzicato",
+  "double_bass": "Kontrabas",
+  "wind_instrument": "Dechový nástroj",
+  "jingle_bell": "Rolnička",
+  "wind_chime": "Zvonkohra",
+  "singing_bowl": "Singing Bowl",
+  "beatboxing": "Beatboxing",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "progressive_rock": "Progressive Rock",
+  "rock_and_roll": "Rock & Roll",
+  "psychedelic_rock": "Psychadelický Rock",
+  "rhythm_and_blues": "Rythm & Blues",
+  "soul_music": "Soulová hudba",
+  "reggae": "Reggae",
+  "country": "Country",
+  "swing_music": "Swingová hudba",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Folková hudba",
+  "middle_eastern_music": "Středo-východní hudba",
+  "disco": "Disco",
+  "classical_music": "Klasická hudba",
+  "house_music": "House hudba",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum & Bass",
+  "electronica": "Elektronická hudba",
+  "electronic_dance_music": "Elektronická taneční hudba",
+  "ambient_music": "Ambientní hudba",
+  "trance_music": "Trance hudba",
+  "music_of_latin_america": "Latinsko-americká hudba",
+  "flamenco": "Flamengo",
+  "blues": "Blues",
+  "new-age_music": "Novodobá hudba",
+  "vocal_music": "Vokální hudba",
+  "a_capella": "A Capella",
+  "music_of_africa": "Africká hudba",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Křesťanská hudba",
+  "gospel_music": "Gospelová hudba",
+  "music_of_asia": "Asijská hudba",
+  "carnatic_music": "Karnatická hudba",
+  "music_of_bollywood": "Hudba z Bollywoodu",
+  "ska": "SKA",
+  "traditional_music": "Tradiční hudba",
+  "independent_music": "Nezávislá hudba",
+  "background_music": "Hudba na pozadí",
+  "theme_music": "Tématická hudba",
+  "jingle": "Jingle",
+  "soundtrack_music": "Soundtracková hudba",
+  "lullaby": "Ukolébavka",
+  "video_game_music": "Herní hudba",
+  "christmas_music": "Vánoční hudba",
+  "dance_music": "Taneční hudba",
+  "wedding_music": "Svatební hudba",
+  "happy_music": "Veselá hudba",
+  "sad_music": "Smutná hudba",
+  "tender_music": "Něžná hudba",
+  "exciting_music": "Vzrušující hudba",
+  "angry_music": "Naštvaná hudba",
+  "scary_music": "Děsivá hudba",
+  "rain_on_surface": "Déšť na povrch",
+  "gurgling": "Klokotání",
+  "toot": "Troubení",
+  "reversing_beeps": "Parkovací pípání",
+  "ice_cream_truck": "Auto se zmrzlinou",
+  "emergency_vehicle": "Záchranářské vozidlo",
+  "traffic_noise": "Zvuk provozu",
+  "train_wheels_squealing": "Skřípání kol vlaku",
+  "fixed-wing_aircraft": "Letadlo s pevnými křídly",
+  "light_engine": "Lehký motor",
+  "medium_engine": "Střední motor",
+  "heavy_engine": "Těžký motor",
+  "tap": "Poklepání",
+  "squeak": "Skřípání",
+  "cupboard_open_or_close": "Otvírání nebo zavírání skříně",
+  "drawer_open_or_close": "Otvírání nebo zavírání šuplíku",
+  "shuffling_cards": "Míchání karet",
+  "ringtone": "Vyzváněcí melodie",
+  "dial_tone": "Vytáčecí tón",
+  "busy_signal": "Tón obsazené linky",
+  "civil_defense_siren": "Siréna civilní obrany",
+  "salsa_music": "Salsa hudba",
+  "buzzer": "Bzučák",
+  "steam_whistle": "Parní píšťala",
+  "ratchet": "Ráčna",
+  "gears": "Ozubená kola",
+  "pulleys": "Kladky",
+  "mechanical_fan": "Mechanický větrák",
+  "single-lens_reflex_camera": "Jednooká zrcadlovka",
+  "filing": "Plnění",
+  "sanding": "Pískování",
+  "machine_gun": "Kulomet",
+  "fusillade": "Salva",
+  "artillery_fire": "Dělostřelecká palba",
+  "cap_gun": "Kapslíková pistole",
+  "burst": "Výbuch",
+  "chop": "Sekání",
+  "crack": "Prasknutí",
+  "chink": "Cinknutí",
+  "field_recording": "Nahrávka z terénu"
+}
diff --git a/web/public/locales/cs/common.json b/web/public/locales/cs/common.json
new file mode 100644
index 000000000..08cff4992
--- /dev/null
+++ b/web/public/locales/cs/common.json
@@ -0,0 +1,265 @@
+{
+  "time": {
+    "untilForTime": "Do {{time}}",
+    "untilForRestart": "Do doby, než se Frigarte restartuje.",
+    "untilRestart": "Do restartu",
+    "justNow": "Teď",
+    "today": "Dnes",
+    "yesterday": "Včera",
+    "last7": "Posledních 7 dní",
+    "last14": "Posledních 14 dní",
+    "last30": "Posledních 30 dní",
+    "thisWeek": "Tento týden",
+    "lastWeek": "Minulý týden",
+    "thisMonth": "Tento měsíc",
+    "lastMonth": "Minulý měsíc",
+    "5minutes": "5 minut",
+    "10minutes": "10 minut",
+    "30minutes": "30 minut",
+    "1hour": "1 hodina",
+    "12hours": "12 hodin",
+    "24hours": "24 hodin",
+    "pm": "odpoledne",
+    "am": "ráno",
+    "year_one": "{{time}} rok",
+    "year_few": "{{time}} let",
+    "year_other": "{{time}} let",
+    "month_one": "{{time}} měsíc",
+    "month_few": "{{time}} měsíce",
+    "month_other": "{{time}} měsíců",
+    "day_one": "{{time}} den",
+    "day_few": "{{time}} dny",
+    "day_other": "{{time}} dní",
+    "hour_one": "{{time}} hodina",
+    "hour_few": "{{time}} hodiny",
+    "hour_other": "{{time}} hodin",
+    "minute_one": "{{time}} minuta",
+    "minute_few": "{{time}} minuty",
+    "minute_other": "{{time}} minut",
+    "second_one": "{{time}} sekunda",
+    "second_few": "{{time}} sekundy",
+    "second_other": "{{time}} sekund",
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM yyyy",
+      "24hour": "d MMM yyyy"
+    },
+    "ago": "před {{timeAgo}}",
+    "yr": "{{time}}r",
+    "d": "{{time}}d",
+    "h": "{{time}}h",
+    "mo": "{{time}}měs",
+    "formattedTimestampHourMinute": {
+      "24hour": "HH:mm",
+      "12hour": "h:mm aaa"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "s": "{{time}}sec",
+    "m": "{{time}}min",
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "24hour": "d MMM yyyy, HH:mm",
+      "12hour": "d MMM yyyy, h:mm aaa"
+    },
+    "formattedTimestampFilename": {
+      "24hour": "dd-MM-yy-HH-mm-ss",
+      "12hour": "dd-MM.yy-h-mm-ss-a"
+    }
+  },
+  "button": {
+    "twoWayTalk": "Obousměrná komunikace",
+    "enabled": "Zapnuto",
+    "cameraAudio": "Zvuk kamery",
+    "apply": "Použij",
+    "reset": "Reset",
+    "done": "Hotovo",
+    "on": "Zapnuto",
+    "off": "Vypnuto",
+    "edit": "Upravit",
+    "enable": "Zapni",
+    "disabled": "Vypnuto",
+    "disable": "Vypni",
+    "save": "Uložit",
+    "saving": "Ukládám…",
+    "cancel": "Zrušit",
+    "close": "Zavři",
+    "copy": "Zkopíruj",
+    "back": "Zpět",
+    "history": "Historie",
+    "fullscreen": "Celá obrazovka",
+    "exitFullscreen": "Opustit režim celé obrazovky",
+    "pictureInPicture": "Obraz v obraze",
+    "copyCoordinates": "Zkopíruj souřadnice",
+    "delete": "Odstranit",
+    "yes": "Ano",
+    "no": "Ne",
+    "download": "Stáhnout",
+    "info": "Informace",
+    "suspended": "Pozastaveno",
+    "unsuspended": "Zrušit pozastavení",
+    "play": "Hrát",
+    "unselect": "Zrušit výběr",
+    "deleteNow": "Smazat hned",
+    "next": "Další",
+    "export": "Exportovat"
+  },
+  "label": {
+    "back": "Jdi zpět"
+  },
+  "unit": {
+    "speed": {
+      "kph": "Km/h",
+      "mph": "míle/h"
+    },
+    "length": {
+      "feet": "stopa",
+      "meters": "metry"
+    }
+  },
+  "selectItem": "Vyberte {{item}}",
+  "menu": {
+    "documentation": {
+      "label": "Dokumentace Frigate",
+      "title": "Dokumentace"
+    },
+    "live": {
+      "allCameras": "Všechny kamery",
+      "title": "Živě",
+      "cameras": {
+        "count_one": "{{count}} kamera",
+        "count_few": "{{count}} kamery",
+        "count_other": "{{count}} kamer",
+        "title": "Kamery"
+      }
+    },
+    "review": "Revize",
+    "explore": "Prozkoumat",
+    "system": "Systém",
+    "systemMetrics": "Systémové metriky",
+    "configuration": "Konfigurace",
+    "language": {
+      "yue": "粵語 (kantonština)",
+      "en": "English (Angličtina)",
+      "da": "Dansk (Dánština)",
+      "fi": "Suomi (Finština)",
+      "sk": "Slovenčina (Slovenština)",
+      "withSystem": {
+        "label": "Použít systémové nastavení pro jazyk"
+      },
+      "zhCN": "简体中文 (Zjednodušená čínština)",
+      "es": "Español (Španělština)",
+      "hi": "हिन्दी (Hindština)",
+      "fr": "Français (Francouzština)",
+      "ar": "العربية (Arabština)",
+      "pt": "Português (Portugalština)",
+      "ru": "Русский (Ruština)",
+      "de": "Deutsch (Němčina)",
+      "it": "Italiano (Italština)",
+      "ja": "日本語 (Japonština)",
+      "tr": "Türkçe (Turečtina)",
+      "nl": "Nederlands (Holandština)",
+      "sv": "Svenska (Švédština)",
+      "cs": "Čeština",
+      "nb": "Norsk Bokmål (norský Bokmål)",
+      "uk": "Українська (Ukrainština)",
+      "ko": "한국어 (Korejština)",
+      "vi": "Tiếng Việt (Vietnamština)",
+      "he": "עברית (Hebrejština)",
+      "el": "Ελληνικά (Řečtina)",
+      "fa": "فارسی (Perština)",
+      "ro": "Română (Rumunština)",
+      "hu": "Magyar (Maďarština)",
+      "pl": "Polski (Polština)",
+      "th": "ไทย (Thaiština)",
+      "ca": "Català (Katalánština)"
+    },
+    "theme": {
+      "highcontrast": "Vysoký kontrast",
+      "default": "Výchozí",
+      "label": "Téma",
+      "blue": "Modrá",
+      "green": "Zelená",
+      "nord": "Polární",
+      "red": "Červená"
+    },
+    "help": "Nápověda",
+    "restart": "Restartovat Frigate",
+    "user": {
+      "logout": "Odhlásit",
+      "setPassword": "Nastavit heslo",
+      "current": "Aktuální uživatel: {{user}}",
+      "title": "Uživatel",
+      "account": "Účet",
+      "anonymous": "anonymní"
+    },
+    "systemLogs": "Systémový záznam",
+    "settings": "Nastavení",
+    "languages": "Jazyky",
+    "appearance": "Vzhled",
+    "darkMode": {
+      "label": "Tmavý režim",
+      "light": "Světlý",
+      "dark": "Tmavý",
+      "withSystem": {
+        "label": "Použít systémové nastavení pro světlý a tmavý režim"
+      }
+    },
+    "export": "Exportovat",
+    "uiPlayground": "UI hřiště",
+    "faceLibrary": "Knihovna Obličejů",
+    "configurationEditor": "Editor Konfigurace",
+    "withSystem": "Systém"
+  },
+  "pagination": {
+    "previous": {
+      "label": "Jít na předchozí stranu",
+      "title": "Předchozí"
+    },
+    "label": "stránkování",
+    "next": {
+      "label": "Jít na další stranu",
+      "title": "Další"
+    },
+    "more": "Více stran"
+  },
+  "accessDenied": {
+    "documentTitle": "Přístup odepřen - Frigate",
+    "title": "Přístup odepřen",
+    "desc": "Nemáte oprávnění zobrazit tuto stránku."
+  },
+  "notFound": {
+    "desc": "Stránka nenalezena",
+    "documentTitle": "Nenalezeno - Frigate",
+    "title": "404"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Adresa URL byla zkopírována do schránky.",
+    "save": {
+      "title": "Uložit",
+      "error": {
+        "title": "Chyba při ukládání změn konfigurace: {{errorMessage}}",
+        "noMessage": "Chyba při ukládání změn konfigurace"
+      }
+    }
+  },
+  "role": {
+    "title": "Role",
+    "admin": "Správce",
+    "viewer": "Divák",
+    "desc": "Správci mají plný přístup ke všem funkcím v uživatelském rozhraní Frigate. Diváci jsou omezeni na sledování kamer, položek přehledu a historických záznamů v UI."
+  }
+}
diff --git a/web/public/locales/cs/components/auth.json b/web/public/locales/cs/components/auth.json
new file mode 100644
index 000000000..a3dd01b32
--- /dev/null
+++ b/web/public/locales/cs/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Uživatelské jméno",
+    "password": "Heslo",
+    "login": "Přihlášení",
+    "errors": {
+      "usernameRequired": "Uživatelské jméno je povinné",
+      "passwordRequired": "Heslo je povinné",
+      "loginFailed": "Přihlášení se nezdařilo",
+      "unknownError": "Neznámá chyba. Zkontrolujte logy.",
+      "webUnknownError": "Neznámá chuba. Zkontrolujte logy konzoly.",
+      "rateLimit": "Limit požadavků překročen. Zkuste to znovu později."
+    }
+  }
+}
diff --git a/web/public/locales/cs/components/camera.json b/web/public/locales/cs/components/camera.json
new file mode 100644
index 000000000..2c3f0d6c7
--- /dev/null
+++ b/web/public/locales/cs/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Skupiny kamer",
+    "camera": {
+      "setting": {
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "label": "Žádný stream",
+              "desc": "Obrázky z kamery se aktualizují pouze jednou za minutu a neproběhne žádné živé vysílání."
+            },
+            "smartStreaming": {
+              "label": "Smart Streaming (doporučeno)",
+              "desc": "Inteligentní streamování aktualizuje obraz vaší kamery jednou za minutu, když nedochází k žádné detekovatelné aktivitě, aby se šetřila šířka pásma a zdroje. Když je detekována aktivita, obraz se plynule přepne na živý přenos."
+            },
+            "continuousStreaming": {
+              "label": "Kontinuální streamování",
+              "desc": {
+                "title": "Obraz z kamery bude vždy živým přenosem, když je viditelný na dashboardu, i když není detekována žádná aktivita.",
+                "warning": "Nepřetržité streamování může způsobit velké využití šířky pásma a problémy s výkonem. Používejte opatrně."
+              }
+            }
+          },
+          "label": "Metoda streamování",
+          "placeholder": "Vyberte metodu vysílání"
+        },
+        "label": "Nastavení streamování kamery",
+        "audioIsAvailable": "Audio je k dispozici pro tento stream",
+        "audioIsUnavailable": "Audio není k dispozici pro tento stream",
+        "audio": {
+          "tips": {
+            "document": "Přečtěte si dokumentaci ",
+            "title": "Pro tento stream musí být výstup zvuku z vaší kamery a nakonfigurován v go2rtc."
+          }
+        },
+        "compatibilityMode": {
+          "label": "Režim kompatibility",
+          "desc": "Tuto možnost povolte pouze v případě, že živý přenos vaší kamery zobrazuje barevné artefakty a má na pravé straně obrazu diagonální čáru."
+        },
+        "title": "Nastavení streamování {{cameraName}}",
+        "desc": "Změní možnosti živého vysílání pro dashboard této skupiny kamer. <em>Tato nastavení jsou specifická pro zařízení/prohlížeč.</em>",
+        "stream": "Proud",
+        "placeholder": "Vyberte proud"
+      }
+    },
+    "delete": {
+      "confirm": {
+        "title": "Potvrdit odstranění",
+        "desc": "Skutečně si přejete odstranit skupinu kamer <em>{{name}}</em>?"
+      },
+      "label": "Odstranit skupinu kamer"
+    },
+    "add": "Přidat skupinu kamer",
+    "name": {
+      "label": "Jméno",
+      "placeholder": "Zadejte jméno…",
+      "errorMessage": {
+        "exists": "Tento název skupiny kamer již existuje.",
+        "mustLeastCharacters": "Název skupiny kamer musí mít minimálně 2 znaky.",
+        "nameMustNotPeriod": "Název skupiny kamer nesmí obsahovat tečku.",
+        "invalid": "Špatný název skupiny kamer."
+      }
+    },
+    "edit": "Upravit skupinu kamer",
+    "cameras": {
+      "label": "Kamery",
+      "desc": "Vyberte kamery pro tuto skupinu."
+    },
+    "icon": "Ikona",
+    "success": "Skupina kamer {{name}} byla uložena."
+  },
+  "debug": {
+    "options": {
+      "label": "Nastavení",
+      "title": "Možnosti",
+      "showOptions": "Zobrazit možnosti",
+      "hideOptions": "Skrýt možnosti"
+    },
+    "zones": "Zóny",
+    "motion": "Pohyb",
+    "regions": "Kraje",
+    "timestamp": "Časové razítko",
+    "boundingBox": "Ohraničení",
+    "mask": "Maska"
+  }
+}
diff --git a/web/public/locales/cs/components/dialog.json b/web/public/locales/cs/components/dialog.json
new file mode 100644
index 000000000..53318710a
--- /dev/null
+++ b/web/public/locales/cs/components/dialog.json
@@ -0,0 +1,114 @@
+{
+  "restart": {
+    "title": "Jste si jistí, že chcete restartovat Frigate?",
+    "button": "Restartovat",
+    "restarting": {
+      "title": "Frigate restartuje",
+      "content": "Tato stránka bude obnovena za {{countdown}} sekund.",
+      "button": "Vynutit opětovné načtení"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "label": "Potvrďte tento štítek pro Frigate Plus",
+          "ask_a": "Je tento objekt <code>{{label}}</code>?",
+          "ask_an": "Tento objekt je <code>{{label}}</code>?",
+          "ask_full": "Je tento objekt <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Odesláno"
+        }
+      },
+      "submitToPlus": {
+        "label": "Odeslat do Frigate+",
+        "desc": "Objekty na místech, kterým se chcete vyhnout, nejsou falešné poplachy. Označení takových objektů jako falešných pozitiv může model zmást."
+      }
+    },
+    "video": {
+      "viewInHistory": "Zobrazit historii"
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "toast": {
+        "success": "Videozáznam spojený s vybranými položkami přehledu byl úspěšně smazán.",
+        "error": "Chyba mazání: {{error}}"
+      },
+      "title": "Potvrdit odstranění",
+      "desc": {
+        "selected": "Opravdu chcete smazat všechna nahraná videa spojená s touto položkou přehledu?<br /><br />Chcete-li tento dialog v budoucnu obejít, podržte klávesu <em>Shift</em>."
+      }
+    },
+    "button": {
+      "markAsReviewed": "Označit jako zkontrolované",
+      "deleteNow": "Smazat hned",
+      "export": "Exportovat"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Vybrat z Časové osy",
+      "custom": "Vlastní",
+      "lastHour_one": "Minulou hodinu",
+      "lastHour_few": "Minulé {{count}} hodiny",
+      "lastHour_other": "Minulých {{count}} hodin",
+      "start": {
+        "title": "Čas začátku",
+        "label": "Vybrat čas začátku"
+      },
+      "end": {
+        "title": "Čas konce",
+        "label": "Vybrat čas konce"
+      }
+    },
+    "select": "Vybrat",
+    "export": "Exportovat",
+    "selectOrExport": "Vybrat pro Export",
+    "toast": {
+      "success": "Export úspěšně spuštěn. Soubor najdete v adresáři /exports.",
+      "error": {
+        "failed": "Chyba spuštění exportu: {{error}}",
+        "endTimeMustAfterStartTime": "Čas konce musí být po čase začátku",
+        "noVaildTimeSelected": "Není vybráno žádné platné časové období"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Uložit export",
+      "previewExport": "Prohlížet export"
+    },
+    "name": {
+      "placeholder": "Jméno exportu"
+    }
+  },
+  "streaming": {
+    "label": "Stream",
+    "restreaming": {
+      "disabled": "Restreaming pro tuto kameru není povolen.",
+      "desc": {
+        "title": "Nastavte go2rtc pro rozšiřující živé zobrazení a pro zvuk pro tuto kameru.",
+        "readTheDocumentation": "Přečtěte si dokumentaci"
+      }
+    },
+    "showStats": {
+      "label": "Ukázat statistiky streamu",
+      "desc": "Povolte tuto možnost pro zobrazení překryvných statistik v obraze streamu."
+    },
+    "debugView": "Náhled ladění"
+  },
+  "search": {
+    "saveSearch": {
+      "desc": "Zadejte název tohoto uloženého vyhledávání.",
+      "placeholder": "Zadejte název pro vaše vyhledávání",
+      "success": "Hledání {{searchName}} bylo uloženo.",
+      "button": {
+        "save": {
+          "label": "Uložit toto hledání"
+        }
+      },
+      "label": "Uložit vyhledávání",
+      "overwrite": "{{searchName}} už existuje. Uložení přepíše existující hodnotu."
+    }
+  }
+}
diff --git a/web/public/locales/cs/components/filter.json b/web/public/locales/cs/components/filter.json
new file mode 100644
index 000000000..d057b6e7d
--- /dev/null
+++ b/web/public/locales/cs/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filtrovat",
+  "labels": {
+    "label": "Štítky",
+    "all": {
+      "title": "Všechny popisky",
+      "short": "Popisky"
+    },
+    "count_one": "{{count}} Štítek",
+    "count_other": "{{count}} Štítků"
+  },
+  "dates": {
+    "selectPreset": "Vyberte předvolbu…",
+    "all": {
+      "title": "Všechny datumy",
+      "short": "Datumy"
+    }
+  },
+  "more": "Víc filtrů",
+  "reset": {
+    "label": "Resetovat filtry do výchozích hodnot"
+  },
+  "timeRange": "Časový rozsah",
+  "score": "Skóre",
+  "subLabels": {
+    "all": "Všechny podružné štítky",
+    "label": "Podružné Štítky"
+  },
+  "features": {
+    "label": "Funkce",
+    "hasSnapshot": "Má snímek",
+    "hasVideoClip": "Má videoklip",
+    "submittedToFrigatePlus": {
+      "label": "Odesláno do Frigate+",
+      "tips": "Nejprve musíte filtrovat sledované objekty, které mají snímek.<br /><br />Sledované objekty bez snímku nelze odeslat do Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Seřadit",
+    "relevance": "Závažnost",
+    "dateAsc": "Datum (Vzestupně)",
+    "dateDesc": "Datum (Sestupně)",
+    "scoreAsc": "Skóre objektu (Vzestupně)",
+    "scoreDesc": "Skóre objektu (Sestupně)",
+    "speedAsc": "Odhadovaná rychlost (Vzestupně)",
+    "speedDesc": "Odhadovaná rychlost (Sestupně)"
+  },
+  "motion": {
+    "showMotionOnly": "Pouze zpomalené záběry"
+  },
+  "explore": {
+    "settings": {
+      "title": "Nastavení",
+      "searchSource": {
+        "label": "Hledat zdroj",
+        "options": {
+          "thumbnailImage": "Obrázek náhledu",
+          "description": "Popis"
+        },
+        "desc": "Zvolte, zda chcete prohledávat miniatury nebo popisy sledovaných objektů."
+      },
+      "gridColumns": {
+        "desc": "Zvolte počet sloupců mřížky náhledu.",
+        "title": "Sloupce mřížky"
+      },
+      "defaultView": {
+        "title": "Základní pohled",
+        "desc": "Pokud nejsou vybrány žádné filtry, zobrazí se přehled nejnovějších sledovaných objektů podle štítků, nebo se zobrazí nefiltrovaná mřížka.",
+        "summary": "Souhrn",
+        "unfilteredGrid": "Nefiltrovaná mřížka"
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Vyberte datum k filtrování"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtrovat úroveň protokolu",
+    "filterBySeverity": "Filtrovat logy podle závažnosti",
+    "loading": {
+      "title": "Načítání",
+      "desc": "Když se podokno protokolu posune dolů, nové protokoly se automaticky zobrazují, jakmile jsou přidány."
+    },
+    "disableLogStreaming": "Zakázat živé zobrazování logu",
+    "allLogs": "Všechny protokoly"
+  },
+  "recognizedLicensePlates": {
+    "title": "Rozeznané SPZ",
+    "loadFailed": "Chyba načítání rozeznaných SPZ.",
+    "loading": "Načítám rozeznané SPZ…",
+    "placeholder": "Zadejte text pro hledání SPZ…",
+    "selectPlatesFromList": "Vyberte jednu, nebo více SPZ ze seznamu.",
+    "noLicensePlatesFound": "Žádné SPZ nebyly nalezeny."
+  },
+  "zones": {
+    "all": {
+      "title": "Všechny zóny",
+      "short": "Zóny"
+    },
+    "label": "Zóny"
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "Sledované objekty úspěšně vymazány.",
+      "error": "Chyba při mazání sledovaných objektů: {{errorMessage}}"
+    },
+    "title": "Potvrdit odstranění",
+    "desc": "Smazáním těchto {{objectLength}} sledovaných objektů dojde k odstranění snímku, všech uložených vektorových reprezentací (embeddingů) a souvisejících záznamů o životním cyklu objektu. Záznamy z kamery v náhledu historie <em>NEBUDOU</em> smazány.<br/><br/>Přejete si to skutečně udělat?<br/><br/>Podržte <em>Shift</em> pro přeskočení tohoto dialogu v budoucnosti."
+  },
+  "zoneMask": {
+    "filterBy": "Filtrovat podle masky zóny"
+  },
+  "estimatedSpeed": "Odhadovaná rychlost ({{unit}})",
+  "cameras": {
+    "label": "Filtr kamer",
+    "all": {
+      "title": "Všechny kamery",
+      "short": "Kamery"
+    }
+  },
+  "review": {
+    "showReviewed": "Zobrazit zkontrolované"
+  }
+}
diff --git a/web/public/locales/cs/components/icons.json b/web/public/locales/cs/components/icons.json
new file mode 100644
index 000000000..a98f6d6e0
--- /dev/null
+++ b/web/public/locales/cs/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Zvolte ikonu",
+    "search": {
+      "placeholder": "Hledejte ikonu…"
+    }
+  }
+}
diff --git a/web/public/locales/cs/components/input.json b/web/public/locales/cs/components/input.json
new file mode 100644
index 000000000..19574eb42
--- /dev/null
+++ b/web/public/locales/cs/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Stáhnout video",
+      "toast": {
+        "success": "Vaše video se stahuje."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/cs/components/player.json b/web/public/locales/cs/components/player.json
new file mode 100644
index 000000000..6f32e403c
--- /dev/null
+++ b/web/public/locales/cs/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "V tomto období nebyly nalezeny žádné záznamy",
+  "noPreviewFound": "Náhled nenalezen",
+  "noPreviewFoundFor": "Náhled nenalezen pro {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Odeslat tento snímek do služby Frigate+?",
+    "submit": "Odeslat"
+  },
+  "livePlayerRequiredIOSVersion": "Pro tento typ živého přenosu je vyžadován systém iOS 17.1 nebo novější.",
+  "streamOffline": {
+    "title": "Přenos je offline",
+    "desc": "Žádné snímky nebyly zaznamenány na {{cameraName}} <code>detect</code>přenosu, zkontrolujte logy chyb"
+  },
+  "cameraDisabled": "Kamera je zakázaná",
+  "stats": {
+    "streamType": {
+      "title": "Typ přenosu:",
+      "short": "Typ"
+    },
+    "bandwidth": {
+      "title": "Šířka pásma:",
+      "short": "Šířka pásma"
+    },
+    "latency": {
+      "title": "Latence:",
+      "value": "{{seconds}} sekund",
+      "short": {
+        "title": "Latence",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Celkový počet snímků:",
+    "droppedFrames": {
+      "title": "Ztracené snímky:",
+      "short": {
+        "title": "Ztracené",
+        "value": "{{droppedFrames}} snímků"
+      }
+    },
+    "decodedFrames": "Dekódované snímky:",
+    "droppedFrameRate": "Frekvence ztracených snímků:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Snimek byl úspěšně odeslán službě Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Nepodařilo se odeslat snímek službě Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/cs/objects.json b/web/public/locales/cs/objects.json
new file mode 100644
index 000000000..f25710235
--- /dev/null
+++ b/web/public/locales/cs/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Osoba",
+  "dog": "Pes",
+  "cat": "Kočka",
+  "horse": "Kůň",
+  "bird": "Pták",
+  "boat": "Člun",
+  "car": "Auto",
+  "sheep": "Ovce",
+  "mouse": "Myš",
+  "keyboard": "Klávesnice",
+  "animal": "Zvíře",
+  "vehicle": "Vozidlo",
+  "bark": "Štěkot",
+  "goat": "Koza",
+  "bus": "Autobus",
+  "motorcycle": "Motorka",
+  "train": "Vlak",
+  "bicycle": "Cyklistické kolo",
+  "door": "Dveře",
+  "blender": "Mixér",
+  "sink": "Dřez",
+  "scissors": "Nůžky",
+  "clock": "Hodiny",
+  "toothbrush": "Zubní kartáček",
+  "hair_dryer": "Fén",
+  "skateboard": "Skateboard",
+  "airplane": "Letadlo",
+  "traffic_light": "Semafor",
+  "fire_hydrant": "Požární hydrant",
+  "street_sign": "Uliční cedule",
+  "stop_sign": "Stopka",
+  "parking_meter": "Parkovací hodiny",
+  "bench": "Lavička",
+  "cow": "Kráva",
+  "elephant": "Slon",
+  "bear": "Medvěd",
+  "zebra": "Zebra",
+  "giraffe": "Žirafa",
+  "hat": "Čepice",
+  "backpack": "Batoh",
+  "umbrella": "Deštník",
+  "shoe": "Bota",
+  "eye_glasses": "Brýle",
+  "handbag": "Kabelka",
+  "tie": "Kravata",
+  "suitcase": "Oblečení",
+  "frisbee": "Frisbee",
+  "skis": "Lyže",
+  "snowboard": "Snowboard",
+  "sports_ball": "Sportovní míč",
+  "kite": "Drak",
+  "baseball_bat": "Baseballová pálka",
+  "baseball_glove": "Baseballová rukavice",
+  "surfboard": "Surfovací prkno",
+  "tennis_racket": "Tenisová raketa",
+  "bottle": "Lahev",
+  "plate": "Talíř",
+  "wine_glass": "Sklenice na víno",
+  "cup": "Šálek",
+  "fork": "Vidlička",
+  "knife": "Nůž",
+  "spoon": "Lžíce",
+  "bowl": "Mísa",
+  "banana": "Banán",
+  "apple": "Jablko",
+  "sandwich": "Sendvič",
+  "orange": "Pomeranč",
+  "broccoli": "Brokolice",
+  "carrot": "Mrkev",
+  "hot_dog": "Párek v rohlíku",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "cake": "Koláč",
+  "chair": "Židle",
+  "couch": "Gauč",
+  "potted_plant": "Hrnková rostlina",
+  "bed": "Postel",
+  "mirror": "Zrcadlo",
+  "dining_table": "Jídelní stůl",
+  "window": "Okno",
+  "desk": "Stůl",
+  "toilet": "Toaleta",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "remote": "Dálkový ovladač",
+  "cell_phone": "Mobilní telefon",
+  "microwave": "Mikrovlnná trouba",
+  "oven": "Trouba",
+  "toaster": "Toustovač",
+  "refrigerator": "Lednice",
+  "book": "Kniha",
+  "vase": "Váza",
+  "teddy_bear": "Medvídek",
+  "hair_brush": "Hřeben",
+  "squirrel": "Veverka",
+  "deer": "Jelen",
+  "fox": "Liška",
+  "rabbit": "Králík",
+  "raccoon": "Mýval",
+  "robot_lawnmower": "Robotická sekačka na trávu",
+  "waste_bin": "Odpadkový koš",
+  "on_demand": "Na požádání",
+  "face": "Obličej",
+  "license_plate": "SPZ",
+  "package": "Balík",
+  "bbq_grill": "Gril",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/cs/views/configEditor.json b/web/public/locales/cs/views/configEditor.json
new file mode 100644
index 000000000..55fbafb2c
--- /dev/null
+++ b/web/public/locales/cs/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor konfigurace - Frigate",
+  "configEditor": "Editor konfigurace",
+  "copyConfig": "Kopírovat konfiguraci",
+  "saveAndRestart": "Uložit a restartovat",
+  "saveOnly": "Jen uložit",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfigurace byla zkopírovaná do schránky."
+    },
+    "error": {
+      "savingError": "Chyba ukládání konfigurace"
+    }
+  },
+  "confirm": "Opustit bez uložení?"
+}
diff --git a/web/public/locales/cs/views/events.json b/web/public/locales/cs/views/events.json
new file mode 100644
index 000000000..17cade7e0
--- /dev/null
+++ b/web/public/locales/cs/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Výstrahy",
+  "detections": "Detekce",
+  "motion": {
+    "label": "Pohyb",
+    "only": "Jen pohyb"
+  },
+  "allCameras": "Všechny kamery",
+  "empty": {
+    "alert": "Nejsou žádné výstrahy na kontrolu",
+    "detection": "Nejsou žádné detekce na kontrolu",
+    "motion": "Nenalezena žádná data o pohybu"
+  },
+  "timeline": "Časová osa",
+  "timeline.aria": "Zvolit časovou osu",
+  "events": {
+    "label": "Události",
+    "aria": "Zvolit události",
+    "noFoundForTimePeriod": "Pro toto období nebyly nalezeny žádné události."
+  },
+  "documentTitle": "Revize - Frigate",
+  "camera": "Kamera",
+  "calendarFilter": {
+    "last24Hours": "Posledních 24 hodin"
+  },
+  "markAsReviewed": "Označit jako zkontrolované",
+  "markTheseItemsAsReviewed": "Označit tyto položky jako zkontrolované",
+  "newReviewItems": {
+    "label": "Zobrazit nové položky na kontrolu",
+    "button": "Nové položky na kontrolu"
+  },
+  "recordings": {
+    "documentTitle": "Záznamy - Frigate"
+  },
+  "detected": "Detekováno",
+  "selected_one": "{{count}} vybráno",
+  "selected_other": "{{count}} vybráno"
+}
diff --git a/web/public/locales/cs/views/explore.json b/web/public/locales/cs/views/explore.json
new file mode 100644
index 000000000..1dba5c605
--- /dev/null
+++ b/web/public/locales/cs/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "Generativní AI",
+  "documentTitle": "Prozkoumat – Frigate",
+  "details": {
+    "timestamp": "Časové razítko",
+    "snapshotScore": {
+      "label": "Skóre snímku"
+    },
+    "item": {
+      "title": "Zkontrolovat detaily položky",
+      "desc": "Zkontrolovat detaily položky",
+      "button": {
+        "share": "Sdílet tuto položku kontroly",
+        "viewInExplore": "Zobrazit v Průzkumu"
+      },
+      "tips": {
+        "hasMissingObjects": "Upravte svou konfiguraci, pokud chcete, aby Frigate ukládal sledované objekty pro následující štítky: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} nedostupný objekt byl detekován a vložen do této položky kontroly. Tento objekt se buď nekvalifikoval jako výstraha nebo detekce, nebo již byl vyčištěn/smazán.",
+        "mismatch_few": "{{count}} nedostupné objekty byly detekovány a vloženy do této položky kontroly. Tyto objekty se buď nekvalifikovaly jako výstraha nebo detekce, nebo již byly vyčištěny/smazány.",
+        "mismatch_other": "{{count}} nedostupných objektů bylo detekováno a vloženo do této položky kontroly. Tyto objekty se buď nekvalifikovaly jako výstraha nebo detekce, nebo již byly vyčištěny/smazány."
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Od {{provider}} byl vyžádán nový popis. V závislosti na rychlosti vašeho poskytovatele může obnovení nového popisu nějakou dobu trvat.",
+          "updatedSublabel": "Úspěšně aktualizovaný podružný štítek.",
+          "updatedLPR": "Úspěšně aktualizovaná SPZ."
+        },
+        "error": {
+          "regenerate": "Chyba volání {{provider}} pro nový popis: {{errorMessage}}",
+          "updatedSublabelFailed": "Chyba obnovení podružného štítku: {{errorMessage}}",
+          "updatedLPRFailed": "Chyba obnovení SPZ: {{errorMessage}}"
+        }
+      }
+    },
+    "editSubLabel": {
+      "descNoLabel": "Vložit nový podružný štítek pro tento sledovaný objekt",
+      "desc": "Vložit nový podružný štítek pro tento {{label}}",
+      "title": "Upravit podružný štítek"
+    },
+    "editLPR": {
+      "title": "Upravit SPZ",
+      "descNoLabel": "Vložit novou SPZ pro tento sledovaný objekt",
+      "desc": "Vložit novou SPZ pro tento {{label}}"
+    },
+    "estimatedSpeed": "Odhadovaná rychlost",
+    "objects": "Objekty",
+    "camera": "Kamera",
+    "zones": "Zóny",
+    "button": {
+      "regenerate": {
+        "label": "Regenerovat popis sledovaného objektu",
+        "title": "Regenerovat"
+      },
+      "findSimilar": "Najít podobné"
+    },
+    "description": {
+      "label": "Popis",
+      "placeholder": "Popis sledovaného objektu",
+      "aiTips": "Frigate nebude vyžadovat popis od vašeho poskytovatele generativní AI, dokud neskončí životní cyklus sledovaného objektu."
+    },
+    "expandRegenerationMenu": "Rozbalte nabídku regenerace",
+    "regenerateFromSnapshot": "Regenerovat ze snímku",
+    "regenerateFromThumbnails": "Regenerovat z náhledu",
+    "tips": {
+      "descriptionSaved": "Popis úspěšně uložen",
+      "saveDescriptionFailed": "Aktualizace popisu se nezdařila: {{errorMessage}}"
+    },
+    "topScore": {
+      "info": "Nejvyšší skóre je nejvyšší střední skóre pro sledovaný objekt, takže se může lišit od skóre zobrazeného na miniatuře výsledku vyhledávání.",
+      "label": "Nejvyšší skóre"
+    },
+    "label": "Štítek",
+    "recognizedLicensePlate": "Rozpoznaná SPZ"
+  },
+  "exploreIsUnavailable": {
+    "title": "Prozkoumat je nedostupné",
+    "embeddingsReindexing": {
+      "context": "Prozkoumat může být použito až vložené sledované objekty dokončí přeindexování.",
+      "startingUp": "Spouštění…",
+      "estimatedTime": "Odhadovaný zbývající čas:",
+      "finishingShortly": "Brzy bude dokončeno",
+      "step": {
+        "thumbnailsEmbedded": "Vložené náhledy: ",
+        "descriptionsEmbedded": "Vložené popisy: ",
+        "trackedObjectsProcessed": "Zpracované sledované objekty: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate stahuje potřebné modely vložení pro podporu funkce sémantického vyhledávání. To může trvat několik minut v závislosti na rychlosti vašeho síťového připojení.",
+      "setup": {
+        "visionModelFeatureExtractor": "Extraktor funkcí Vision modelu",
+        "visionModel": "Vision model",
+        "textModel": "Textový model",
+        "textTokenizer": "Textový tokenizér"
+      },
+      "tips": {
+        "documentation": "Přečtěte si dokumentaci",
+        "context": "Můžete reindexovat vložení vašich sledovaných oběktů hned jak budou modely staženy."
+      },
+      "error": "Nastala chyba. Zkontrolujte protokoly Frigate."
+    }
+  },
+  "trackedObjectsCount_one": "{{count}} sledovaný objekt ",
+  "trackedObjectsCount_few": "{{count}} sledované objekty ",
+  "trackedObjectsCount_other": "{{count}} sledovaných objektů ",
+  "searchResult": {
+    "tooltip": "Shoda s {{type}} na {{confidence}} %",
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Sledovaný objekt se nepodařilo smazat: {{errorMessage}}",
+        "success": "Sledovaný objekt úspěšně smazán."
+      }
+    }
+  },
+  "objectLifecycle": {
+    "count": "{{first}} z {{second}}",
+    "trackedPoint": "Sledovaný bod",
+    "lifecycleItemDesc": {
+      "external": "{{label}} detekován",
+      "header": {
+        "zones": "Zóny",
+        "ratio": "Poměr",
+        "area": "Oblast"
+      },
+      "entered_zone": "{{label}} vstoupil do {{zones}}",
+      "active": "{{label}} začal být aktivní",
+      "stationary": "{{label}} se stal statickým",
+      "visible": "{{label}} detekován",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detekován pro {{label}}",
+        "other": "{{label}} rozpoznán jako {{attribute}}"
+      },
+      "heard": "{{label}} slyšen",
+      "gone": "{{label}} opuštěn"
+    },
+    "annotationSettings": {
+      "showAllZones": {
+        "title": "Zobrazit všechny zóny",
+        "desc": "Vždy zobrazit zóny na snímcích, kde objekty vstoupily do zóny."
+      },
+      "offset": {
+        "label": "Odsazení popisku",
+        "documentation": "Přečtěte si dokumentaci ",
+        "millisecondsToOffset": "Milisekundy pro posun zobrazení popisku detekce. <em>Výchozí: 0</em>",
+        "desc": "Tato data pocházejí z detekčního zdroje vaší kamery, ale jsou překryta na snímcích ze záznamu. Je nepravděpodobné, že by tyto dva proudy byly dokonale synchronizované. Výsledkem je, že ohraničující rámeček a stopáž nebudou dokonale zarovnány. K nastavení však lze použít pole <code>annotation_offset</code>.",
+        "tips": "TIP: Představte si, že existuje klip události s osobou, která jde zleva doprava. Pokud je ohraničovací rámeček na časové ose události konzistentně vlevo od osoby, měla by být hodnota snížena. Podobně, pokud osoba chodí zleva doprava a ohraničující rámeček je trvale před osobou, měla by být hodnota zvýšena.",
+        "toast": {
+          "success": "Posun anotace pro {{camera}} byl uložen do konfiguračního souboru. Restartujte Frigate, aby se změny projevily."
+        }
+      },
+      "title": "Nastavení popisků"
+    },
+    "carousel": {
+      "previous": "Předchozí snímek",
+      "next": "Následující snímek"
+    },
+    "title": "Životní cyklus Objektu",
+    "noImageFound": "Žádný obrázek pro toto časové razítko.",
+    "createObjectMask": "Vytvořit masku objektu",
+    "adjustAnnotationSettings": "Upravit nastavení poznámek",
+    "scrollViewTips": "Posouváním zobrazíte významné okamžiky životního cyklu tohoto objektu.",
+    "autoTrackingTips": "Pozice ohraničení bude nepřesná pro kamery s automatickým sledováním."
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "label": "Stáhnout snímek",
+      "aria": "Stáhnout snímek"
+    },
+    "viewInHistory": {
+      "aria": "Zobrazit v historii",
+      "label": "Zobrazit historii"
+    },
+    "deleteTrackedObject": {
+      "label": "Smazat tento sledovaný objekt"
+    },
+    "downloadVideo": {
+      "label": "Stáhnout video",
+      "aria": "Stáhnout video"
+    },
+    "findSimilar": {
+      "aria": "Najít podobný sledovaný objekt",
+      "label": "Najít podobné"
+    },
+    "submitToPlus": {
+      "aria": "Odeslat do Frigate Plus",
+      "label": "Odeslat do Frigate+"
+    },
+    "viewObjectLifecycle": {
+      "label": "Zobrazit životní cyklus objektu",
+      "aria": "Ukázat životní cyklus objektu"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Potvrdit smazání",
+      "desc": "Odstraněním tohoto sledovaného objektu se odstraní snímek, všechna uložená vložení a všechny související položky životního cyklu objektu. Zaznamenaný záznam tohoto sledovaného objektu v zobrazení Historie <em>NEBUDE</em> smazán.<br /><br />Opravdu chcete pokračovat?"
+    }
+  },
+  "trackedObjectDetails": "Detaily sledovaných objektů",
+  "type": {
+    "details": "detaily",
+    "snapshot": "snímek",
+    "video": "video",
+    "object_lifecycle": "životní cyklus objektu"
+  },
+  "noTrackedObjects": "Žádné sledované objekty nebyly nalezeny",
+  "fetchingTrackedObjectsFailed": "Chyba při načítání sledovaných objektů: {{errorMessage}}",
+  "exploreMore": "Prozkoumat více {{label}} objektů"
+}
diff --git a/web/public/locales/cs/views/exports.json b/web/public/locales/cs/views/exports.json
new file mode 100644
index 000000000..d27bf05e9
--- /dev/null
+++ b/web/public/locales/cs/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Hledat",
+  "documentTitle": "Exportovat - Frigate",
+  "noExports": "Žádné exporty nenalezeny",
+  "deleteExport": "Smazat export",
+  "deleteExport.desc": "Opravdu chcete smazat {{exportName}}?",
+  "editExport": {
+    "title": "Přejmenovat export",
+    "desc": "Zadejte nové jméno pro tento export.",
+    "saveExport": "Uložit export"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Nepodařilo se přejmenovat export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/cs/views/faceLibrary.json b/web/public/locales/cs/views/faceLibrary.json
new file mode 100644
index 000000000..8db564c37
--- /dev/null
+++ b/web/public/locales/cs/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "imageEntry": {
+    "dropInstructions": "Přetáhněte obrázek zde, nebo klikněte na výběr",
+    "maxSize": "Maximální velikost: {{size}}MB",
+    "dropActive": "Přetáhněte obrázek zde…",
+    "validation": {
+      "selectImage": "Prosím vyberte soubor obrázků."
+    }
+  },
+  "createFaceLibrary": {
+    "new": "Vytvořit nový obličej",
+    "desc": "Vytvořit novou kolekci",
+    "nextSteps": "Chcete-li vybudovat pevný základ:<li>Použijte kartu Trénování k výběru a trénování na snímcích pro každou detekovanou osobu.</li><li>Pro nejlepší výsledky se zaměřte na přímé snímky; vyhněte se trénování snímků, které zachycují obličeje pod úhlem.</li></ul>",
+    "title": "Vytvořit kolekci"
+  },
+  "details": {
+    "unknown": "Neznámý",
+    "person": "Osoba",
+    "face": "Detaily tváře",
+    "subLabelScore": "Skóre dílčího popisku",
+    "scoreInfo": "Skóre dílčího popisku je vážené skóre všech jistot rozpoznání obličejů, ale to může být odlišné od skóre zobrazeného na snímku.",
+    "faceDesc": "Podrobnosti o sledovaném objektu, který vygeneroval tuto tvář",
+    "timestamp": "Časové razítko"
+  },
+  "selectFace": "Vyberte tvář",
+  "deleteFaceAttempts": {
+    "title": "Odstranit obličeje",
+    "desc_one": "Skutečně chcete vymazat {{count}} obličej? Tato akce je nevratná.",
+    "desc_few": "Skutečně chcete vymazat {{count}} obličeje? Tato akce je nevratná.",
+    "desc_other": "Skutečně chcete vymazat {{count}} obličejů? Tato akce je nevratná."
+  },
+  "nofaces": "Žádné tváře",
+  "pixels": "{{area}}px",
+  "deleteFaceLibrary": {
+    "title": "Odstranit jméno",
+    "desc": "Skutečně chcete vymazat kolekci {{name}}? Toto trvale vymaže všechny přiřazené obličeje."
+  },
+  "train": {
+    "title": "Trénovat",
+    "empty": "Nejsou zde žádné předchozí pokusy o rozpoznání obličeje",
+    "aria": "Vybrat trénink"
+  },
+  "description": {
+    "addFace": "Prúvodce přidání nové kolekce do Knižnice obličejů.",
+    "placeholder": "Zadejte název pro tuto kolekci",
+    "invalidName": "Neplatný název. Názvy mohou obsahovat pouze písmena, čísla, mezery, apostrofy, podtržítka a pomlčky."
+  },
+  "documentTitle": "Knihovna obličejů - Frigate",
+  "uploadFaceImage": {
+    "title": "Nahrát obrázek obličeje",
+    "desc": "Nahrajte obrázek pro skenování tváří a zahrňte jej pro {{pageToggle}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Odstranění obličeje",
+    "addFace": "Přidat obličej",
+    "renameFace": "Přejmenovat obličej",
+    "deleteFace": "Odstranit obličej",
+    "uploadImage": "Nahrát obrázek",
+    "reprocessFace": "Přepracovat Obličej"
+  },
+  "trainFace": "Trénovat obličej",
+  "selectItem": "Vyberte {{item}}",
+  "renameFace": {
+    "title": "Přejmenovat obličej",
+    "desc": "Zadejte nový název pro {{name}}"
+  },
+  "readTheDocs": "Přečtěte si dokumentaci",
+  "toast": {
+    "success": {
+      "renamedFace": "Úspěšně přejmenovaný obličej na {{name}}",
+      "trainedFace": "Úspěšně vytrénovaný obličej.",
+      "uploadedImage": "Úspěšně nahraný obrázek.",
+      "deletedFace_one": "Úspěšně odstraněna {{count}} tvář.",
+      "deletedFace_few": "Úspěšně odstraněny {{count}} tváře.",
+      "deletedFace_other": "Úspěšně odstraněny {{count}} tváře.",
+      "deletedName_one": "{{count}} obličej byl úspěšně odstraněn.",
+      "deletedName_few": "{{count}} tváře byly úspěšně odstraněny.",
+      "deletedName_other": "{{count}} tváře byly úspěšně odstraněny.",
+      "updatedFaceScore": "Úspěšně aktualizováno skóre obličeje.",
+      "addFaceLibrary": "{{name}} byl(a) úspěšně přidán(a) do Knihovny obličejů!"
+    },
+    "error": {
+      "renameFaceFailed": "Chyba při přejmenování obličeje: {{errorMessage}}",
+      "trainFailed": "Chyba trénování: {{errorMessage}}",
+      "updateFaceScoreFailed": "Chyba aktualizace skóre obličeje: {{errorMessage}}",
+      "deleteFaceFailed": "Chyba při mazání: {{errorMessage}}",
+      "uploadingImageFailed": "Chyba při nahrávání obrázku: {{errorMessage}}",
+      "addFaceLibraryFailed": "Nepodařilo se nastavit jméno obličeje: {{errorMessage}}",
+      "deleteNameFailed": "Chyba při mazání jména: {{errorMessage}}"
+    }
+  },
+  "steps": {
+    "nextSteps": "Další kroky",
+    "faceName": "Zadejte název obličeje",
+    "uploadFace": "Nahrát obrázek obličeje",
+    "description": {
+      "uploadFace": "Pro {{name}} nahrajte obrázek, který zobrazuje jeho obličej zepředu. Obrázek nemusí být oříznut pouze na jeho obličej."
+    }
+  },
+  "collections": "Kolekce",
+  "trainFaceAs": "Trénovat Obličej jako:"
+}
diff --git a/web/public/locales/cs/views/live.json b/web/public/locales/cs/views/live.json
new file mode 100644
index 000000000..1e6004a05
--- /dev/null
+++ b/web/public/locales/cs/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Živě - Frigate",
+  "documentTitle.withCamera": "{{camera}}-Živě-Frigate",
+  "lowBandwidthMode": "Režim nízké šířky pásma",
+  "twoWayTalk": {
+    "enable": "Povolit obousměrný hovor",
+    "disable": "Zakázat obousměrný hovor"
+  },
+  "cameraAudio": {
+    "enable": "Povolit zvuk kamery",
+    "disable": "Zakázat zvuk kamery"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klikněte do snímku pro vycentrování kamery",
+        "enable": "Povolit pohyb kliknutím",
+        "disable": "Zakázat pohyb kliknutím"
+      },
+      "left": {
+        "label": "Posunot PTZ kameru do leva"
+      },
+      "up": {
+        "label": "Posunot PTZ kameru nahoru"
+      },
+      "down": {
+        "label": "Posunot PTZ kameru dolů"
+      },
+      "right": {
+        "label": "Posunot PTZ kameru do prava"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Přiblížit PTZ kameru"
+      },
+      "out": {
+        "label": "Oddálit PTZ kameru"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Klikněte do snímku pro vycentrování PTZ kamery"
+      }
+    },
+    "presets": "Předvolby PTZ kamery"
+  },
+  "camera": {
+    "enable": "Povolit kameru",
+    "disable": "Zakázat kameru"
+  },
+  "muteCameras": {
+    "enable": "Ztlumit všechny kamery",
+    "disable": "Zrušit ztlumení u všech kamer"
+  },
+  "detect": {
+    "enable": "Povolit detekci",
+    "disable": "Zakázat detekci"
+  },
+  "recording": {
+    "enable": "Povolit nahrávání",
+    "disable": "Zakázat nahrávání"
+  },
+  "snapshots": {
+    "enable": "Povolit vytváření snímků",
+    "disable": "Zakázat vytváření snímků"
+  },
+  "audioDetect": {
+    "enable": "Povolit detekci zvuků",
+    "disable": "Zakázat detekci zvuků"
+  },
+  "autotracking": {
+    "enable": "Povolit automatické sledování",
+    "disable": "Zakázat automatické sledování"
+  },
+  "streamStats": {
+    "disable": "Skrýt statistiky streamu",
+    "enable": "Ukázat statistiky streamu"
+  },
+  "manualRecording": {
+    "title": "Nahrávání na vyžádání",
+    "playInBackground": {
+      "label": "Přehrát na pozadí",
+      "desc": "Povolte tuto volbu pro pokračování streamování i když je přehrávač skrytý."
+    },
+    "showStats": {
+      "label": "Ukázat statistiky",
+      "desc": "Povolte tuto možnost pro zobrazení překryvných statistik v obraze streamu."
+    },
+    "debugView": "Náhled ladění",
+    "start": "Spustit nahrávání na vyžádání",
+    "failedToStart": "Chyba manuálního spuštění nahrávání na požádání.",
+    "end": "Konec nahrávání na vyžádání",
+    "failedToEnd": "Chyba ukončení manuálního nahrávání na vyžádání.",
+    "started": "Manuálně spuštěno nahrávání na požádání.",
+    "ended": "Ukončeno manuální nahrávání na vyžádání.",
+    "recordDisabledTips": "Protože je v konfiguraci této kamery nahrávání zakázáno nebo omezeno, bude uložen pouze snímek.",
+    "tips": "Spustit ruční událost na základě nastavení uchovávání záznamů této kamery."
+  },
+  "streamingSettings": "Nastavení Streamování",
+  "audio": "Zvuk",
+  "suspend": {
+    "forTime": "Pozastavení na: "
+  },
+  "stream": {
+    "title": "Stream",
+    "audio": {
+      "tips": {
+        "title": "Zvuk musí být kamerou vysílán a nakonfigurován v go2rtc pro tento stream.",
+        "documentation": "Přečtěte si dokumentaci "
+      },
+      "available": "Zvuk je dostupný pro tento stream",
+      "unavailable": "Zvuk není dostupný pro tento stream"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Přečtěte si dokumentaci ",
+      "available": "Obousměrný hovor je dostupný pro tento stream",
+      "unavailable": "Obousměrný hovor není dostupný pro tento stream",
+      "tips": "Vaše zařízení musí tuto funkci podporovat a WebRTC musí být nakonfigurováno pro obousměrnou komunikaci."
+    },
+    "lowBandwidth": {
+      "resetStream": "Resetovat stream",
+      "tips": "Živý náhled je v režimu nízké přenosové rychlosti kvůli vyrovnávací paměti nebo chybám ve streamu."
+    },
+    "playInBackground": {
+      "label": "Přehrát na pozadí",
+      "tips": "Povolte tuto volbu pro pokračování streamování i když je přehrávač skrytý."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Nastavení",
+    "cameraEnabled": "Kamera Povolena",
+    "objectDetection": "Detekce Objektu",
+    "snapshots": "Snímky",
+    "audioDetection": "Detekce Zvuku",
+    "autotracking": "Automatické sledování",
+    "recording": "Nahrávání"
+  },
+  "history": {
+    "label": "Zobrazit historické záznamy"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Vše",
+      "motion": "Pohyb",
+      "active_objects": "Aktivní Objekty"
+    },
+    "notAllTips": "Vaše nastavení uchovávání záznamů pro zdroj {{source}} je nastaveno na <code>režim: {{effectiveRetainMode}}</code>, takže tento záznam na vyžádání bude uchovávat pouze segmenty s režimem {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "exitEdit": "Ukončit Úpravu",
+    "label": "Upravit Rozložení",
+    "group": {
+      "label": "Upravit Skupinu Kamer"
+    }
+  },
+  "notifications": "Notifikace"
+}
diff --git a/web/public/locales/cs/views/recording.json b/web/public/locales/cs/views/recording.json
new file mode 100644
index 000000000..80fa1f193
--- /dev/null
+++ b/web/public/locales/cs/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Exportovat",
+  "calendar": "Kalendář",
+  "filter": "Filtrovat",
+  "filters": "Filtry",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "Čas konce musí být po čase začátku",
+      "noValidTimeSelected": "Nebylo zvoleno platné časové období"
+    }
+  }
+}
diff --git a/web/public/locales/cs/views/search.json b/web/public/locales/cs/views/search.json
new file mode 100644
index 000000000..e828a6716
--- /dev/null
+++ b/web/public/locales/cs/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Hledat",
+  "savedSearches": "Uložená vyhledávání",
+  "searchFor": "Hledat {{inputValue}}",
+  "button": {
+    "clear": "Vymazat vyhledávaní",
+    "save": "Uložit vyhledávání",
+    "delete": "Vymazat uložená vyhledávání",
+    "filterInformation": "Filtrovat informace",
+    "filterActive": "Aktivní filtry"
+  },
+  "trackedObjectId": "ID sledovaného objektu",
+  "filter": {
+    "label": {
+      "cameras": "Kamery",
+      "labels": "Štítky",
+      "zones": "Zóny",
+      "sub_labels": "Podružné Štítky",
+      "max_speed": "Max rychlost",
+      "min_speed": "Min rychlost",
+      "search_type": "Typ Hledání",
+      "time_range": "Časový Rozsah",
+      "before": "Před",
+      "after": "Po",
+      "max_score": "Maximální Skóre",
+      "min_score": "Minimální Skóre",
+      "recognized_license_plate": "Rozpoznaná SPZ",
+      "has_clip": "Má Klip",
+      "has_snapshot": "Má Snímek"
+    },
+    "tips": {
+      "desc": {
+        "step1": "Zadejte název filtru následovaný dvojtečkou (např. „kamery:“).",
+        "step2": "Vyberte hodnotu z nabízených možností nebo zadejte vlastní.",
+        "step3": "Použijte více filtrů tak, že je přidáte jeden po druhém s mezerou mezi nimi.",
+        "step4": "Datumové filtry (before: a after:) používají formát {{DateFormat}}.",
+        "step6": "Odstraňte filtr kliknutím na 'x' vedle něj.",
+        "exampleLabel": "Příklad:",
+        "text": "Filtry vám pomohou zúžit výsledky hledání. Zde je návod, jak je používat ve vstupním poli:",
+        "step5": "Pro časový rozsah použijte formát {{exampleTime}}."
+      },
+      "title": "Jak používat textové filtry"
+    },
+    "searchType": {
+      "thumbnail": "Náhled",
+      "description": "Popis"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Datum 'před' musí být pozdější než datum 'po'.",
+        "afterDatebeEarlierBefore": "Datum 'po' musí být dřívější než datum 'před'.",
+        "minScoreMustBeLessOrEqualMaxScore": "'min_score' musí být menší nebo rovno 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "'max_score' musí být větší nebo rovno 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'min_speed' musí být menší nebo rovno 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'max_speed' musí být větší nebo rovno 'min_speed'."
+      }
+    },
+    "header": {
+      "currentFilterType": "Hodnoty Filtru",
+      "noFilters": "Filtry",
+      "activeFilters": "Aktivní Filtry"
+    }
+  },
+  "similaritySearch": {
+    "title": "Hledání Podle Podobnosti",
+    "active": "Hledání podobností aktivní",
+    "clear": "Vymazat hledání podobností"
+  },
+  "placeholder": {
+    "search": "Hledat…"
+  }
+}
diff --git a/web/public/locales/cs/views/settings.json b/web/public/locales/cs/views/settings.json
new file mode 100644
index 000000000..065770762
--- /dev/null
+++ b/web/public/locales/cs/views/settings.json
@@ -0,0 +1,686 @@
+{
+  "documentTitle": {
+    "default": "Nastavení - Frigate",
+    "authentication": "Nastavení ověřování - Frigate",
+    "camera": "Nastavení kamery - Frigate",
+    "classification": "Nastavení klasifikace - Frigate",
+    "notifications": "Nastavení notifikací - Frigate",
+    "masksAndZones": "Editor masky a zón - Frigate",
+    "motionTuner": "Ladič detekce pohybu - Frigate",
+    "object": "Ladění - Frigate",
+    "general": "Obecné nastavení - Frigate",
+    "frigatePlus": "Frigate+ nastavení - Frigate",
+    "enrichments": "Nastavení obohacení - Frigate"
+  },
+  "frigatePlus": {
+    "toast": {
+      "error": "Chyba při ukládání změn konfigurace: {{errorMessage}}",
+      "success": "Nastavení Frigate+ byla uložena. Restartujte Frigate+ pro aplikování změn."
+    },
+    "modelInfo": {
+      "cameras": "Kamery",
+      "modelSelect": "Zde můžete vybrat dostupné modely ze služby Frigate+. Upozorňujeme, že lze zvolit pouze modely kompatibilní s aktuální konfigurací detektoru.",
+      "loadingAvailableModels": "Načítám dostupné modely…",
+      "plusModelType": {
+        "baseModel": "Základní Model",
+        "userModel": "Doladěno"
+      },
+      "loading": "Načítám informace o modelu…",
+      "error": "Chyba načítání informací o modelu",
+      "availableModels": "Dostupné Moduly",
+      "supportedDetectors": "Podporované Detektory",
+      "title": "Informace o Modelu",
+      "modelType": "Typ Modelu",
+      "trainDate": "Datum Tréninku",
+      "baseModel": "Základní Model"
+    },
+    "snapshotConfig": {
+      "documentation": "Přečtěte si dokumentaci",
+      "desc": "Odesílání do Frigate+ vyžaduje, aby byly ve vaší konfiguraci povoleny jak běžné snímky, tak snímky typu <code>clean_copy</code>.",
+      "title": "Nastavení Snímku",
+      "table": {
+        "cleanCopySnapshots": "<code>clean_copy</code> Snímky",
+        "snapshots": "Snímky",
+        "camera": "Kamera"
+      },
+      "cleanCopyWarning": "Některé kamery mají povolené snímky, ale volba <code>clean_copy</code> je zakázaná. Pro možnost odesílání snímků z těchto kamer do služby Frigate+ je nutné tuto volbu povolit v konfiguraci snímků."
+    },
+    "apiKey": {
+      "notValidated": "API klíč Frigate+ nebyl rozpoznán nebo nebyl ověřen",
+      "plusLink": "Přečtěte si více o Frigate+",
+      "validated": "API klíč Frigate+ byl rozpoznán a ověřen",
+      "desc": "API klíč Frigate+ umožňuje integraci se službou Frigate+.",
+      "title": "Frigate+ API Klíč"
+    },
+    "unsavedChanges": "Neuložené změny nastavení Frigate+",
+    "title": "Nastavení Frigate+",
+    "restart_required": "Vyžadován restart (model Frigate+ změněn)"
+  },
+  "classification": {
+    "unsavedChanges": "Neuložené změny nastavení klasifikací",
+    "semanticSearch": {
+      "readTheDocumentation": "Přečtěte si dokumentaci",
+      "reindexNow": {
+        "alreadyInProgress": "Reindexování je už spuštěno.",
+        "label": "Reindexovat Teď",
+        "confirmTitle": "Potvrdit Reindexaci",
+        "error": "Chyba spouštění reindexování: {{errorMessage}}",
+        "desc": "Přeindexování znovu vygeneruje vektorové reprezentace (embeddingy) pro všechny sledované objekty. Tento proces probíhá na pozadí, může plně zatížit váš procesor a v závislosti na počtu sledovaných objektů může trvat delší dobu.",
+        "confirmDesc": "Opravdu chcete přeindexovat embeddingy všech sledovaných objektů? Tento proces poběží na pozadí, ale může plně vytížit procesor a trvat delší dobu. Průběh můžete sledovat na stránce Prozkoumat.",
+        "confirmButton": "Reindexovat",
+        "success": "Reindexování úspěšně spuštěno."
+      },
+      "title": "Sémantické Hledání",
+      "desc": "Sémantické vyhledávání ve Frigate umožňuje najít sledované objekty ve vašich záznamech pomocí samotného obrázku, uživatelem zadaného textového popisu nebo automaticky generovaného popisu.",
+      "modelSize": {
+        "small": {
+          "title": "malý",
+          "desc": "Použití <em>malý</em> znamená využití kvantizované verze modelu, která spotřebovává méně paměti RAM a běží rychleji na procesoru, přičemž rozdíl v kvalitě embeddingů je zanedbatelný."
+        },
+        "large": {
+          "title": "velký",
+          "desc": "Volba <em>velký</em> využívá plný model Jina a automaticky se provádí na GPU, pokud je k dispozici."
+        },
+        "label": "Velikost Modelu",
+        "desc": "Velikost modelu pro sémantické vyhledávání pomocí embeddingů."
+      }
+    },
+    "title": "Nastavení Klasifikací",
+    "birdClassification": {
+      "title": "Klasifikace Ptáka",
+      "desc": "Klasifikace ptáků rozpoznává známé druhy pomocí kvantizovaného modelu TensorFlow. Když je rozpoznán známý pták, jeho běžný název bude přidán jako podružný štítek (sub_label). Tato informace se zobrazí v uživatelském rozhraní, je dostupná ve filtrech a zahrnuta i v notifikacích."
+    },
+    "toast": {
+      "error": "Chyba při ukládání změn konfigurace: {{errorMessage}}",
+      "success": "Nastavení klasifikací uloženo. Restartujte Frigate pro aplikování změn."
+    },
+    "restart_required": "Vyžadován restart (Nastavení klasifikací se změnilo)",
+    "licensePlateRecognition": {
+      "title": "Rozpoznávání SPZ",
+      "desc": "Frigate dokáže rozpoznávat SPZ na vozidlech a automaticky přidávat rozpoznané znaky do pole recognized_license_plate nebo známý název jako podružný štítek k objektům typu auto. Běžným případem použití je čtení SPZ aut vjíždějících na příjezdovou cestu nebo projíždějících kolem na ulici.",
+      "readTheDocumentation": "Přečtěte si dokumentaci"
+    },
+    "faceRecognition": {
+      "title": "Rozpoznávání obličeje",
+      "readTheDocumentation": "Přečtěte si dokumentaci",
+      "desc": "Rozpoznávání obličeje umožňuje přiřadit lidem jména, a když je jejich obličej rozpoznán, Frigate přiřadí dané jméno jako podružný štítek (sub_label). Tato informace se zobrazuje v uživatelském rozhraní, je dostupná ve filtrech a je také součástí notifikací.",
+      "modelSize": {
+        "label": "Velikost Modelu",
+        "desc": "Velikost modelu použitého pro rozpoznávání obličeje.",
+        "small": {
+          "title": "malý",
+          "desc": "Použití <em>malý</em> znamená využití FaceNet modelu pro embedding obličejů, který běží efektivně na většině procesorů (CPU)."
+        },
+        "large": {
+          "title": "velký",
+          "desc": "Použití <em>velký</em> znamená využití modelu ArcFace pro embedding obličejů, který se v případě dostupnosti automaticky spustí na GPU."
+        }
+      }
+    }
+  },
+  "masksAndZones": {
+    "zones": {
+      "speedEstimation": {
+        "docs": "Přečtěte si dokumentaci",
+        "title": "Odhad rychlosti",
+        "desc": "Povolit odhad rychlosti pro objekty v této zóně. Zóna musí mít přesně 4 body.",
+        "lineADistance": "Vzdálenost linky A ({{unit}})",
+        "lineBDistance": "Vzdálenost linky B ({{unit}})",
+        "lineCDistance": "Vzdálenost linky C ({{unit}})",
+        "lineDDistance": "Vzdálenost linky D ({{unit}})"
+      },
+      "name": {
+        "inputPlaceHolder": "Zadejte jméno…",
+        "title": "Jméno",
+        "tips": "Název musí mít alespoň 2 znaky a nesmí být shodný s názvem kamery nebo jiné zóny."
+      },
+      "inertia": {
+        "title": "Setrvačnost",
+        "desc": "Určuje, po kolika snímcích strávených v zóně je objekt považován za přítomný v této zóně.<em>Výchozí hodnota: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Doba setrvání",
+        "desc": "Nastavuje minimální dobu v sekundách, po kterou musí být objekt v zóně, aby došlo k aktivaci.<em>Výchozí hodnota: 0</em>"
+      },
+      "objects": {
+        "title": "Objekty",
+        "desc": "Seznam objektů, na které se tato zóna vztahuje."
+      },
+      "allObjects": "Všechny Objekty",
+      "speedThreshold": {
+        "title": "Práh rychlosti ({{unit}})",
+        "desc": "Určuje minimální rychlost, při které jsou objekty v této zóně zohledněny.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Odhad rychlosti byl pro tuto zónu deaktivován. Zóny s odhadem rychlosti musí mít přesně 4 body.",
+            "loiteringTimeError": "Pokud má zóna nastavenou dobu setrvání větší než 0, nedoporučuje se používat odhad rychlosti."
+          }
+        }
+      },
+      "toast": {
+        "success": "Zóna {{zoneName}} byla uložena. Restartujte Frigate pro aplikování změn."
+      },
+      "label": "Zóny",
+      "desc": {
+        "title": "Zóny umožňují definovat konkrétní oblast v záběru, díky čemuž lze určit, zda se objekt nachází v dané oblasti či nikoliv.",
+        "documentation": "Dokumentace"
+      },
+      "add": "Přidat Zónu",
+      "edit": "Upravit Zónu",
+      "documentTitle": "Upravit Zónu - Frigate",
+      "clickDrawPolygon": "Klikněte pro kreslení polygonu na obrázku.",
+      "point_one": "{{count}} bod",
+      "point_few": "{{count}} body",
+      "point_other": "{{count}} bodů"
+    },
+    "motionMasks": {
+      "context": {
+        "documentation": "Přečtěte si dokumentaci",
+        "title": "Masky detekce pohybu slouží k zabránění tomu, aby nežádoucí typy pohybu spouštěly detekci (například větve stromů nebo časové značky kamery). Masky detekce pohybu by se měly používat <em>velmi střídmě</em> – příliš rozsáhlé maskování může ztížit sledování objektů."
+      },
+      "polygonAreaTooLarge": {
+        "documentation": "Přečtěte si dokumentaci",
+        "title": "Maska detekce pohybu pokrývá {{polygonArea}}% záběru kamery. Příliš velké masky detekce pohybu nejsou doporučovány.",
+        "tips": "Masky detekce pohybu nebrání detekci objektů. Místo toho byste měli použít požadovanou zónu."
+      },
+      "documentTitle": "Editovat Masku Detekce pohybu - Frigate",
+      "desc": {
+        "title": "Masky detekce pohybu slouží k zabránění nežádoucím typům pohybu ve spuštění detekce. Příliš rozsáhlé maskování však může ztížit sledování objektů.",
+        "documentation": "Dokumentace"
+      },
+      "label": "Maska Detekce pohybu",
+      "add": "Nová Maska Detekce pohybu",
+      "edit": "Upravit Masku Detekce pohybu",
+      "point_one": "{{count}} bod",
+      "point_few": "{{count}} body",
+      "point_other": "{{count}} bodů",
+      "clickDrawPolygon": "Kliknutím nakreslíte polygon do obrázku.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} byl uložen. Restartujte Frigate pro aplikování změn.",
+          "noName": "Maska Detekce pohybu byla uložena. Restartujte Frigate pro aplikování změn."
+        }
+      }
+    },
+    "filter": {
+      "all": "Všechny Masky a Zóny"
+    },
+    "restart_required": "Vyžadován restart (masky/zóny byly změněny)",
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "Nemohu zkopírovat souřadnice do schránky."
+      },
+      "success": {
+        "copyCoordinates": "Souřadnice pro {{polyName}} zkopírovány do schránky."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "hasIllegalCharacter": "Název zóny obsahuje zakázané znaky.",
+          "mustNotBeSameWithCamera": "Název Zóny nesmí být stejný jako název kamery.",
+          "mustNotContainPeriod": "Název zóny nesmí obsahovat tečky.",
+          "alreadyExists": "Zóna se stejným názvem u této kamery již existuje.",
+          "mustBeAtLeastTwoCharacters": "Název Zóny musí mít minimálně 2 znaky."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Setrvačnost musí být větší než 0."
+        }
+      },
+      "polygonDrawing": {
+        "snapPoints": {
+          "true": "Přichytávat body",
+          "false": "Nepřichytávat body"
+        },
+        "delete": {
+          "title": "Potvrdit Smazání",
+          "desc": "Opravdu chcete smazat {{type}}<em>{{name}}</em>?",
+          "success": "{{name}} bylo smazáno."
+        },
+        "error": {
+          "mustBeFinished": "Kreslení polygonu musí být před uložením dokončeno."
+        },
+        "reset": {
+          "label": "Vymazat všechny body"
+        },
+        "removeLastPoint": "Odebrat poslední bod"
+      },
+      "distance": {
+        "error": {
+          "mustBeFilled": "Pro použití odhadu rychlosti musí být vyplněna všechna pole pro vzdálenost.",
+          "text": "Vzdálenost musí být větší nebo rovna 0.1."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Doba setrvání musí být větší nebo rovna nule."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Prahová hodnota rychlosti musí být větší nebo rovna 0,1."
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "Masky Objektu",
+      "documentTitle": "Upravit Masku Objektu - Frigate",
+      "desc": {
+        "documentation": "Dokumentace",
+        "title": "Masky filtrování objektů slouží k odfiltrování falešných detekcí daného typu objektu na základě jeho umístění."
+      },
+      "add": "Přidat Masku Objektu",
+      "edit": "Upravit Masku Objektu",
+      "objects": {
+        "title": "Objekty",
+        "allObjectTypes": "Všechny typy objektů",
+        "desc": "Typ objektu, na který se tato maska objektu vztahuje."
+      },
+      "context": "Masky filtrování objektů slouží k odfiltrování falešných poplachů konkrétního typu objektu na základě jeho umístění.",
+      "clickDrawPolygon": "Kliknutím nakreslete polygon do obrázku.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} byl uložen. Restartujte Frigate pro aplikování změn.",
+          "noName": "Maska Objektu byla uložena. Restartujte Frigate pro aplikování změn."
+        }
+      },
+      "point_one": "{{count}} bod",
+      "point_few": "{{count}} body",
+      "point_other": "{{count}} bodů"
+    },
+    "motionMaskLabel": "Maska Detekce pohybu {{number}}",
+    "objectMaskLabel": "Maska Objektu {{number}} {{label}}"
+  },
+  "menu": {
+    "ui": "Uživatelské rozhraní",
+    "classification": "Klasifikace",
+    "cameras": "Nastavení kamery",
+    "masksAndZones": "Masky / Zóny",
+    "motionTuner": "Ladič detekce pohybu",
+    "debug": "Ladění",
+    "users": "Uživatelé",
+    "notifications": "Notifikace",
+    "frigateplus": "Frigate +",
+    "enrichments": "Obohacení"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Máte neuložené změny.",
+      "desc": "Přejete si uložit změny před pokračováním?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Žádná Kamera"
+  },
+  "general": {
+    "title": "Hlavní nastavení",
+    "liveDashboard": {
+      "title": "Živý Dashboard",
+      "automaticLiveView": {
+        "desc": "Při detekci aktivity se automaticky přepne na živý náhled kamery. Vypnutí této možnosti způsobí, že se statické snímky z kamery na ovládacím panelu Live aktualizují pouze jednou za minutu.",
+        "label": "Automatický živý náhled"
+      },
+      "playAlertVideos": {
+        "label": "Přehrát videa s výstrahou",
+        "desc": "Ve výchozím nastavení se nedávná upozornění na ovládacím panelu Živě přehrávají jako malá opakující se videa. Vypněte tuto možnost, chcete-li na tomto zařízení/prohlížeči zobrazovat pouze statický obrázek nedávných výstrah."
+      }
+    },
+    "storedLayouts": {
+      "title": "Uložené rozložení",
+      "desc": "Rozložení kamer ve skupině kamer lze přetáhnout nebo jim změnit velikost. Pozice jsou uloženy v místním úložišti vašeho prohlížeče.",
+      "clearAll": "Smazat všechna rozložení"
+    },
+    "cameraGroupStreaming": {
+      "title": "Nastavení streamování skupiny kamer",
+      "desc": "Nastavení streamování pro každou kameru je uloženo v místním uložišti vašeho prohlížeče.",
+      "clearAll": "Vymazat všechna nastavení streamování"
+    },
+    "recordingsViewer": {
+      "title": "Prohlížeč Nahrávek",
+      "defaultPlaybackRate": {
+        "label": "Výchozí Rychlost Přehrávání",
+        "desc": "Výchozí rychlost přehrávání pro nahrávky."
+      }
+    },
+    "calendar": {
+      "title": "Kalendář",
+      "firstWeekday": {
+        "label": "První den týdne",
+        "desc": "Den, kterým bude začínat týden v kalendáři kontrol.",
+        "sunday": "Neděle",
+        "monday": "Pondělí"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Vymazáno uložené rozvržení pro kameru {{cameraName}}",
+        "clearStreamingSettings": "Vymazány nastavení streamování pro všechny skupiny kamer."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Chyba mazání uloženého rozvržení: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Chyba mazání nastavení streamování: {{errorMessage}}"
+      }
+    }
+  },
+  "debug": {
+    "timestamp": {
+      "title": "Časové razítko",
+      "desc": "Překrýt obrázek časovým razítkem"
+    },
+    "regions": {
+      "title": "Regiony",
+      "desc": "Zobrazit rámeček oblasti zájmu odesílané detektoru objektů",
+      "tips": "<p><strong>Boxy oblastí zájmu</strong></p><br><p>Jasně zelené boxy budou překryty na oblastech zájmu ve snímku, které jsou odesílány detektoru objektů.</p>"
+    },
+    "title": "Ladit",
+    "detectorDesc": "Frigate používá vaše detektory {{detectors}} k detekci objektů ve streamu vašich kamer.",
+    "objectList": "Seznam Objektů",
+    "boundingBoxes": {
+      "title": "Ohraničující rámečky",
+      "desc": "Zobrazit ohraničující rámečky okolo sledovaných objektů",
+      "colors": {
+        "label": "Barvy Ohraničujících Rámečků Objektů",
+        "info": "<li>Při spuštění bude každému objektovému štítku přiřazena jiná barva.</li><li>Tenká tmavě modrá čára označuje, že objekt není v daném okamžiku detekován.</li><li>Tenká šedá čára znamená, že objekt je detekován jako nehybný.</li><li>Silná čára označuje, že objekt je aktuálně sledován pomocí automatického sledování (pokud je aktivováno).</li>"
+      }
+    },
+    "zones": {
+      "title": "Zóny",
+      "desc": "Zobrazit obrys všech definovaných zón"
+    },
+    "mask": {
+      "title": "Masky detekce pohybu",
+      "desc": "Zobrazit polygony masek detekce pohybu"
+    },
+    "debugging": "Ledění",
+    "desc": "Ladicí zobrazení ukazuje sledované objekty a jejich statistiky v reálném čase. Seznam objektů zobrazuje časově zpožděný přehled detekovaných objektů.",
+    "motion": {
+      "title": "Rámečky detekce pohybu",
+      "desc": "Zobrazit rámečky okolo oblastí, kde byl detekován pohyb",
+      "tips": "<p><strong>Boxy pohybu</strong></p><br><p>Červené boxy budou překryty na místech snímku, kde je právě detekován pohyb.</p>"
+    },
+    "noObjects": "Žádné objekty",
+    "objectShapeFilterDrawing": {
+      "title": "Kreslení Filtru Tvaru Objektu",
+      "desc": "Nakreslete na obrázek obdélník pro zobrazení informací o ploše a poměru stran",
+      "tips": "Povolte tuto možnost pro nakreslení obdélníku na obraz kamery, který zobrazí jeho plochu a poměr stran. Tyto hodnoty pak můžete použít pro nastavení parametrů tvarového filtru objektu ve vaší konfiguraci.",
+      "document": "Přečtěte si dokumentaci ",
+      "score": "Skóre",
+      "ratio": "Poměr",
+      "area": "Oblast"
+    }
+  },
+  "camera": {
+    "streams": {
+      "title": "Streamy",
+      "desc": "Dočasně zakáže kameru dokud Frigate nerestartuje. Deaktivace kamery zcela zastaví zpracování jejích streamů ve Frigate. Detekce, nahrávání ani ladění nebudou dostupné.<br/><em>Poznámka: Tímto nedojde k deaktivaci restreamů v go2rtc.</em>"
+    },
+    "review": {
+      "desc": "Dočasně povolte nebo zakažte upozornění a detekce pro tuto kameru dokud Frigate nerestartuje. Pokud jsou vypnuté, nebudou se vytvářet žádné nové položky k přezkoumání. ",
+      "detections": "Detekce ",
+      "title": "Revize",
+      "alerts": "Výstrahy "
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "Přečtěte si dokumentaci",
+      "desc": "Frigate rozděluje položky k přezkoumání na Upozornění a Detekce. Ve výchozím nastavení jsou všechny objekty typu <em>osoba</em> a <em>auto</em> považovány za Upozornění. Kategorizaci těchto položek můžete upřesnit nastavením požadovaných zón.",
+      "title": "Přehled klasifikace",
+      "objectAlertsTips": "Všechny {{alertsLabels}} objekty na {{cameraName}} budou zobrazeny ve Výstrahách.",
+      "objectDetectionsTips": "Všechny objekty typu {{detectionsLabels}}, které nejsou na kameře {{cameraName}} zařazeny do kategorie, budou zobrazeny jako Detekce bez ohledu na to, ve které zóně se nacházejí.",
+      "zoneObjectDetectionsTips": {
+        "notSelectDetections": "Všechny objekty typu {{detectionsLabels}} detekované v zóně {{zone}} na kameře {{cameraName}}, které nejsou zařazeny jako Upozornění, budou zobrazeny jako Detekce – bez ohledu na to, ve které zóně se nacházejí.",
+        "text": "Všechny objekty typu {{detectionsLabels}}, které nejsou v zóně {{zone}} na kameře {{cameraName}} zařazeny do kategorie, budou zobrazeny jako Detekce.",
+        "regardlessOfZoneObjectDetectionsTips": "Všechny objekty {{detectionsLabels}}, které nejsou na kameře {{cameraName}} zařazeny do žádné kategorie, budou zobrazeny jako Detekce – bez ohledu na zónu, ve které se nacházejí."
+      },
+      "noDefinedZones": "Nejsou nastaveny žádné zóny pro tuto kameru.",
+      "zoneObjectAlertsTips": "Všechny {{alertsLabels}} objekty detekované v {{zone}} na {{cameraName}} budou zobrazeny ve Výstrahách.",
+      "unsavedChanges": "Neuložené nastavení revize klasifikace pro {{camera}}",
+      "selectAlertsZones": "Vybrat zóny pro Výstrahy",
+      "selectDetectionsZones": "Vybrat zóny pro Detekce",
+      "toast": {
+        "success": "Konfigurace Revizí Klasifikací byla uložena. Restartujte Frigate pro aplikování změn."
+      },
+      "limitDetections": "Omezit detekce pro specifické zóny"
+    },
+    "title": "Nastavení Kamery"
+  },
+  "notification": {
+    "notificationSettings": {
+      "documentation": "Přečtěte si dokumentaci",
+      "title": "Nastavení notifikací",
+      "desc": "Frigate může nativně odesílat push notifikace do vašeho zařízení, pokud běží v prohlížeči nebo je nainstalován jako PWA (progresivní webová aplikace)."
+    },
+    "notificationUnavailable": {
+      "documentation": "Přečtěte si dokumentaci",
+      "title": "Notifikace Nedostupné",
+      "desc": "Webové push notifikace vyžadují zabezpečený kontext (<code>https://…</code>). Jedná se o omezení prohlížeče. Pro použití notifikací přistupujte k Frigate přes zabezpečené připojení."
+    },
+    "cameras": {
+      "title": "Kamery",
+      "desc": "Vyberte kamery, pro které chcete povolit notifikace.",
+      "noCameras": "Žádné dostupné kamery"
+    },
+    "title": "Notifikace",
+    "email": {
+      "placeholder": "např. example@email.com",
+      "title": "Email",
+      "desc": "Je vyžadována platná e-mailová adresa, která bude použita k upozornění v případě problémů se službou push notifikací."
+    },
+    "registerDevice": "Registrovat Toto Zařízení",
+    "deviceSpecific": "Nastavení Specifická pro Zařízení",
+    "unregisterDevice": "Odregistrovat Toto Zařízení",
+    "sendTestNotification": "Poslat testovací notifikaci",
+    "unsavedRegistrations": "Neuložené přihlášky k Notifikacím",
+    "unsavedChanges": "Neuložené změny Notifikací",
+    "globalSettings": {
+      "desc": "Dočasně pozastavit notifikace pro vybrané kamery na všech registrovaných zařízeních.",
+      "title": "Globální nastavení"
+    },
+    "active": "Notifikace Aktivní",
+    "suspendTime": {
+      "suspend": "Pozastavit",
+      "12hours": "Pozastavit na 12 hodin",
+      "24hours": "Pozastavit na 24 hodin",
+      "untilRestart": "Pozastavit do restartu",
+      "5minutes": "Pozastavit na 5 minut",
+      "10minutes": "Pozastavit na 10 minut",
+      "30minutes": "Pozastavit na 30 minut",
+      "1hour": "Pozastavit na 1 hodinu"
+    },
+    "toast": {
+      "error": {
+        "registerFailed": "Nepodařilo se uložit registraci notifikací."
+      },
+      "success": {
+        "registered": "Notifikace byly úspěšně zaregistrovány. Pro odesílání notifikací (včetně testovací) je nutné Frigate restartovat.",
+        "settingSaved": "Nastavení notifikací bylo uloženo."
+      }
+    },
+    "cancelSuspension": "Zrušit Pozastavení",
+    "suspended": "Notifikace pozastaveny {{time}}"
+  },
+  "users": {
+    "dialog": {
+      "form": {
+        "password": {
+          "strength": {
+            "weak": "Slabé",
+            "medium": "Střední",
+            "strong": "Silné",
+            "veryStrong": "Velmi Silné",
+            "title": "Síla hesla: "
+          },
+          "match": "Hesla souhlasí",
+          "notMatch": "Hesla nesouhlasí",
+          "title": "Heslo",
+          "placeholder": "Vložit heslo",
+          "confirm": {
+            "title": "Potvrdit heslo",
+            "placeholder": "Potvrdit heslo"
+          }
+        },
+        "newPassword": {
+          "placeholder": "Vložte nové heslo",
+          "title": "Nové Heslo",
+          "confirm": {
+            "placeholder": "Zopakujte nové heslo"
+          }
+        },
+        "usernameIsRequired": "Uživatelské jméno je nutné",
+        "user": {
+          "title": "Uživatelské jméno",
+          "desc": "Povolena jsou pouze písmena, čísla, tečky a podtržítka.",
+          "placeholder": "Vložte uživatelské jméno"
+        },
+        "passwordIsRequired": "Je vyžadováno heslo"
+      },
+      "createUser": {
+        "title": "Vytvořit nového uživatele",
+        "desc": "Přidejte nový uživatelský účet a zadejte roli pro určení přístupu k jednotlivým částem uživatelského rozhraní Frigate.",
+        "usernameOnlyInclude": "Uživatelské jméno smí obsahovat pouze písmena, čísla, . nebo _",
+        "confirmPassword": "Potvrďte prosím heslo"
+      },
+      "deleteUser": {
+        "title": "Smazat Uživatele",
+        "desc": "Tuto akci nelze vrátit zpět. Uživatelský účet bude trvale smazán a veškerá s ním spojená data budou odstraněna.",
+        "warn": "Opravdu chcete smazat <strong>{{username}}</strong>?"
+      },
+      "changeRole": {
+        "roleInfo": {
+          "intro": "Vyberte odpovídající roli pro tohoto uživatele:",
+          "admin": "Správce",
+          "adminDesc": "Plný přístup ke všem funkcím.",
+          "viewer": "Divák",
+          "viewerDesc": "Omezení pouze na Živé dashboardy, Revize, Průzkumníka a Exporty."
+        },
+        "title": "Změnit Roli Uživatele",
+        "desc": "Aktualizovat oprávnění pro <strong>{{username}}</strong>",
+        "select": "Vyberte roli"
+      },
+      "passwordSetting": {
+        "updatePassword": "Aktualizovat heslo pro uživatele {{username}}",
+        "setPassword": "Nastavit Heslo",
+        "desc": "Vytvořte silné heslo pro zabezpečení tohoto účtu.",
+        "cannotBeEmpty": "Heslo nemůže být prázdné",
+        "doNotMatch": "Hesla nesouhlasí"
+      }
+    },
+    "table": {
+      "username": "Uživatelské jméno",
+      "actions": "Akce",
+      "noUsers": "Žádní uživatelé nebyli nalezeni.",
+      "changeRole": "Změnit roli uživatele",
+      "password": "Heslo",
+      "deleteUser": "Smazat uživatele",
+      "role": "Role"
+    },
+    "updatePassword": "Aktualizovat heslo",
+    "toast": {
+      "success": {
+        "createUser": "Uživatel {{user}} úspěšně vytvořen",
+        "deleteUser": "Uživatel {{user}} úspěšně odebrán",
+        "updatePassword": "Heslo úspěšně aktualizováno.",
+        "roleUpdated": "Role pro {{user}} aktualizována"
+      },
+      "error": {
+        "setPasswordFailed": "Chyba uložení hesla: {{errorMessage}}",
+        "createUserFailed": "Chyba vytvoření uživatele: {{errorMessage}}",
+        "deleteUserFailed": "Chyba při mazání uživatele: {{errorMessage}}",
+        "roleUpdateFailed": "Chyba při aktualizaci role: {{errorMessage}}"
+      }
+    },
+    "management": {
+      "desc": "Spravujte uživatelské účty této instance Frigate.",
+      "title": "Správa Uživatelů"
+    },
+    "addUser": "Přidat uživatele",
+    "title": "Uživatelé"
+  },
+  "motionDetectionTuner": {
+    "unsavedChanges": "Neuložené změny Ladiče Detekce Pohybu {{camera}}",
+    "improveContrast": {
+      "title": "Zlepšit Kontrast",
+      "desc": "Zlepšit kontrast pro tmavé scény <em>Výchozí: ON</em>"
+    },
+    "toast": {
+      "success": "Nastavení detekce pohybu bylo uloženo."
+    },
+    "title": "Ladič Detekce Pohybu",
+    "desc": {
+      "documentation": "Přečtěte si příručku Ladiče Detekce Pohybu",
+      "title": "Frigate používá detekci pohybu jako první kontrolu k ověření, zda se ve snímku děje něco, co stojí za další analýzu pomocí detekce objektů."
+    },
+    "Threshold": {
+      "title": "Práh",
+      "desc": "Prahová hodnota určuje, jak velká změna jasu pixelu je nutná, aby byl považován za pohyb. <em>Výchozí: 30</em>"
+    },
+    "contourArea": {
+      "title": "Obrysová Oblast",
+      "desc": "Hodnota plochy obrysu se používá k rozhodnutí, které skupiny změněných pixelů se kvalifikují jako pohyb. <em>Výchozí: 10</em>"
+    }
+  },
+  "enrichments": {
+    "title": "Nastavení obohacení",
+    "faceRecognition": {
+      "title": "Rozpoznání Obličeje",
+      "desc": "Rozpoznávání obličeje umožňuje přiřadit lidem jména a po rozpoznání jejich obličeje. Frigate přiřadí jméno osoby jako podštítek. Tyto informace jsou zahrnuty v uživatelském rozhraní, filtrech a také v oznámeních.",
+      "readTheDocumentation": "Přečtěte si Dokumentaci",
+      "modelSize": {
+        "label": "Velikost Modelu",
+        "desc": "Velikost modelu použitého pro rozpoznání obličeje.",
+        "small": {
+          "title": "malý",
+          "desc": "Použití metody <em>malý</em> využívá model vkládání obličejů FaceNet, který efektivně běží na většině procesorů."
+        },
+        "large": {
+          "title": "velký",
+          "desc": "Použití metody <em>velký</em> využívá model vkládání obličejů ArcFace a v případě potřeby se automaticky spustí na GPU."
+        }
+      }
+    },
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmDesc": "Jste si jisti, že chcete znovu indexovat všechny vložené sledované objekty? Tento proces poběží na pozadí, ale může maximálně zatížit váš procesor a trvat poměrně dlouho. Průběh můžete sledovat na stránce Prozkoumat.",
+        "confirmTitle": "Potvrdit Reindexování",
+        "label": "Přeindexovat nyní",
+        "desc": "Reindexování regeneruje vložení pro všechny sledované objekty. Tento proces běží na pozadí a může maximálně zatížit váš procesor a trvat poměrně dlouho v závislosti na počtu sledovaných objektů.",
+        "confirmButton": "Přeindexovat",
+        "success": "Přeindexování úspěšně spuštěno.",
+        "alreadyInProgress": "Přeindexování je již spuštěno.",
+        "error": "Chyba spuštění přeindexování: {{errorMessage}}"
+      },
+      "title": "Sémantické Vyhledávání",
+      "desc": "Sémantické vyhledávání ve Frigate umožňuje najít sledované objekty v rámci vašich zkontrolovaných položek pomocí samotného obrázku, uživatelem definovaného textového popisu nebo automaticky generovaného popisu.",
+      "readTheDocumentation": "Přečtěte si Dokumentaci",
+      "modelSize": {
+        "label": "Velikost Modelu",
+        "desc": "Velikost modelu použitého pro vkládání sémantického vyhledávání.",
+        "small": {
+          "title": "malý",
+          "desc": "Použitím <em>malého</em> modelu se využívá kvantizovaná verze modelu, která spotřebovává méně RAM a běží rychleji na CPU s velmi zanedbatelným rozdílem v kvalitě vkládání."
+        },
+        "large": {
+          "title": "velký",
+          "desc": "Použití parametru <em>velký</em> využívá celý model Jina a v případě potřeby se automaticky spustí na GPU."
+        }
+      }
+    },
+    "birdClassification": {
+      "desc": "Klasifikace ptáků identifikuje známé ptáky pomocí kvantovaného modelu Tensorflow. Po rozpoznání známého ptáka se jeho běžný název přidá jako sub_label. Tato informace je zahrnuta v uživatelském rozhraní, filtrech a také v oznámeních.",
+      "title": "Klasifikace Ptáků"
+    },
+    "unsavedChanges": "Neuložené změny nastavení Obohacení",
+    "licensePlateRecognition": {
+      "title": "Rozpoznání SPZ",
+      "desc": "Frigate dokáže rozpoznávat SPZ vozidel a automaticky přidávat detekované znaky do pole recognized_license_plate nebo název známé SPZ jako sub_label k objektům typu auto. Běžným případem použití může být čtení SPZ aut vjíždějících na příjezdovou cestu nebo aut projíždějících po ulici.",
+      "readTheDocumentation": "Přečtěte si Dokumentaci"
+    },
+    "restart_required": "Nutný restart (nastavení Obohacení změněno)",
+    "toast": {
+      "success": "Nastavení Obohacení uloženo. Restartujte Frigate aby se změny aplikovaly.",
+      "error": "Chyba ukládání změn konfigurace: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/cs/views/system.json b/web/public/locales/cs/views/system.json
new file mode 100644
index 000000000..fca20986f
--- /dev/null
+++ b/web/public/locales/cs/views/system.json
@@ -0,0 +1,180 @@
+{
+  "cameras": {
+    "info": {
+      "stream": "Stream {{idx}}",
+      "resolution": "Rozlišení:",
+      "error": "Chyba: {{error}}",
+      "unknown": "Neznámý",
+      "fps": "FPS:",
+      "audio": "Audio:",
+      "video": "Video:",
+      "fetching": "Získávám data o kameře",
+      "codec": "Kodek:",
+      "tips": {
+        "title": "Informace o sondování kamery"
+      },
+      "streamDataFromFFPROBE": "Data ze streamu jsou získávána pomocí <code>ffprobe</code>.",
+      "cameraProbeInfo": "{{camera}} Informace o sondování kamery",
+      "aspectRatio": "zachovat poměr stran"
+    },
+    "label": {
+      "camera": "kamera",
+      "ffmpeg": "FFmpeg",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "detect": "detekováno",
+      "skipped": "přeskočeno",
+      "capture": "zachyceno",
+      "overallFramesPerSecond": "celkový počet snímků za sekundu",
+      "overallDetectionsPerSecond": "celkový počet detekcí za sekundu",
+      "overallSkippedDetectionsPerSecond": "celkový počet přeskočených detekcí za sekundu",
+      "cameraCapture": "záznam {{camName}}",
+      "cameraDetect": "detekce {{camName}}",
+      "cameraFramesPerSecond": "{{camName}} snímků za sekundu",
+      "cameraDetectionsPerSecond": "{{camName}} detekcí za sekundu",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} přeskočených detekcí za sekundu"
+    },
+    "title": "Kamery",
+    "overview": "Přehled",
+    "framesAndDetections": "Snímky / Detekce",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Sondovaná data uložena do schránky."
+      },
+      "error": {
+        "unableToProbeCamera": "Nemohu sondovat kameru: {{errorMessage}}"
+      }
+    }
+  },
+  "stats": {
+    "cameraIsOffline": "{{camera}} je offline",
+    "healthy": "Systém je zdravý",
+    "reindexingEmbeddings": "Přeindexování vektorů ({{processed}} % dokončeno)",
+    "detectIsSlow": "{{detect}} je pomalé ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} je velmi pomalé ({{speed}} ms)",
+    "detectHighCpuUsage": "{{camera}} má vysoké využití CPU detekcemi ({{detectAvg}} %)",
+    "ffmpegHighCpuUsage": "{{camera}} má vyské využití CPU FFmpegem ({{ffmpegAvg}}%)"
+  },
+  "enrichments": {
+    "embeddings": {
+      "face_recognition_speed": "Rychlost rozpoznávání obličeje",
+      "plate_recognition_speed": "Rychlost rozpoznávání SPZ",
+      "plate_recognition": "Rozpoznávání SPZ",
+      "face_recognition": "Rozpoznávání obličeje",
+      "image_embedding_speed": "Rychlost vkládání obrázku",
+      "text_embedding_speed": "Rychlost vkládání textu",
+      "text_embedding": "Vkládání textu",
+      "image_embedding": "Vkládání obrázku",
+      "face_embedding_speed": "Rychlost vkládání obličeje",
+      "yolov9_plate_detection_speed": "YOLOv9 rychlost detekce SPZ",
+      "yolov9_plate_detection": "YOLOv9 Detekce SPZ"
+    },
+    "infPerSecond": "Inferencí za sekundu",
+    "title": "Obohacení"
+  },
+  "general": {
+    "detector": {
+      "temperature": "Detekční teplota",
+      "title": "Detektory",
+      "inferenceSpeed": "Detekční rychlost",
+      "memoryUsage": "Detektor využití paměti",
+      "cpuUsage": "Detektor využití CPU"
+    },
+    "hardwareInfo": {
+      "title": "Informace o hardware",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "processError": "Chyba procesu:",
+          "returnCode": "Návratový kód: {{code}}",
+          "processOutput": "Výstup procesu:",
+          "title": "Výstup Vainfo"
+        },
+        "nvidiaSMIOutput": {
+          "name": "Jméno: {{name}}",
+          "title": "Výstup Nvidia SMI",
+          "driver": "Ovladač: {{driver}}",
+          "cudaComputerCapability": "Výpočetní schopnost CUDA: {{cuda_compute}}",
+          "vbios": "Informace o VBios: {{vbios}}"
+        },
+        "copyInfo": {
+          "label": "Kopírovat informace o GPU"
+        },
+        "toast": {
+          "success": "Informace o GPU zkopírovány do schránky"
+        },
+        "closeInfo": {
+          "label": "Zavřít informace o GPU"
+        }
+      },
+      "npuUsage": "Využití NPU",
+      "npuMemory": "Paměť NPU",
+      "gpuUsage": "Využití CPU",
+      "gpuMemory": "Paměť GPU",
+      "gpuEncoder": "GPU kodér",
+      "gpuDecoder": "GPU Dekodér"
+    },
+    "otherProcesses": {
+      "title": "Ostatní procesy",
+      "processCpuUsage": "Využití CPU procesy",
+      "processMemoryUsage": "Využití paměti procesy"
+    },
+    "title": "Hlavní"
+  },
+  "storage": {
+    "cameraStorage": {
+      "storageUsed": "Úložiště",
+      "camera": "Kamera",
+      "title": "Úložiště kamery",
+      "unused": {
+        "title": "Nepoužité",
+        "tips": "Tato hodnota nemusí přesně reprezentovat volné místo dostupné pro Frigate, pokud máte na disku uloženy další soubory kromě nahrávek Frigate. Frigate nesleduje využití úložiště mimo své nahrávky."
+      },
+      "bandwidth": "Šířka pásma",
+      "unusedStorageInformation": "Informace o nepoužitém úložišti",
+      "percentageOfTotalUsed": "Procento celkem"
+    },
+    "recordings": {
+      "title": "Záznamy",
+      "earliestRecording": "Nejstarší dostupná nahrávka:",
+      "tips": "Tato hodnota uvádí celkové využití disku záznamy uloženými v databázi Frigate. Frigate nesleduje využití disku ostatními soubory na vašem disku."
+    },
+    "title": "Úložiště",
+    "overview": "Přehled"
+  },
+  "lastRefreshed": "Poslední aktualizace: ",
+  "documentTitle": {
+    "cameras": "Statistiky kamer – Frigate",
+    "storage": "Statistiky uložiště - Frigate",
+    "general": "Obecné statistiky - Frigate",
+    "enrichments": "Statistiky obohacení - Frigate",
+    "logs": {
+      "frigate": "Protokoly Frigate - Frigate",
+      "go2rtc": "Protokoly Go2RTC - Frigate",
+      "nginx": "Protokoly Nginx - Frigate"
+    }
+  },
+  "title": "Systém",
+  "logs": {
+    "copy": {
+      "label": "Kopírovat do schránky",
+      "success": "Protokoly zkopírovány do schránky",
+      "error": "Protokoly se nepodařilo zkopírovat do schránky"
+    },
+    "type": {
+      "label": "Typ",
+      "message": "Zpráva",
+      "timestamp": "Časové razítko",
+      "tag": "Štítek (Tag)"
+    },
+    "download": {
+      "label": "Stáhnout záznamy"
+    },
+    "tips": "Protokoly jsou streamovány ze serveru",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Chyba při načítání protokolů: {{errorMessage}}",
+        "whileStreamingLogs": "Chyba při streamování protokolů: {{errorMessage}}"
+      }
+    }
+  },
+  "metrics": "Systémové metriky"
+}
diff --git a/web/public/locales/da/audio.json b/web/public/locales/da/audio.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/audio.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/common.json b/web/public/locales/da/common.json
new file mode 100644
index 000000000..b0bbd3d5f
--- /dev/null
+++ b/web/public/locales/da/common.json
@@ -0,0 +1,258 @@
+{
+  "time": {
+    "untilForTime": "Indtil{{time}}",
+    "untilForRestart": "Indtil Frigate genstarter.",
+    "untilRestart": "Indtil genstart",
+    "ago": "{{timeAgo}} siden",
+    "justNow": "Lige nu",
+    "today": "I dag",
+    "yesterday": "I går",
+    "last7": "Sidste 7 dage",
+    "last14": "Sidste 14 dage",
+    "last30": "Sidste 30 dage",
+    "thisWeek": "Denne uge",
+    "lastWeek": "Sidste uge",
+    "thisMonth": "Denne måned",
+    "lastMonth": "Sidste måned",
+    "5minutes": "5 minutter",
+    "10minutes": "10 minutter",
+    "30minutes": "30 minutter",
+    "1hour": "1 time",
+    "12hours": "12 timer",
+    "24hours": "24 timer",
+    "pm": "pm",
+    "am": "am",
+    "year_one": "{{time}} år",
+    "year_other": "{{time}} år",
+    "mo": "{{time}}mo",
+    "month_one": "{{time}} måned",
+    "month_other": "{{time}} måneder",
+    "d": "{{time}}d",
+    "day_one": "{{time}} dag",
+    "day_other": "{{time}} dage",
+    "h": "{{time}}h",
+    "yr": "{{time}}yr",
+    "hour_one": "{{time}} time",
+    "hour_other": "{{time}} timer",
+    "m": "{{time}}m",
+    "minute_one": "{{time}} minut",
+    "minute_other": "{{time}} minutter",
+    "s": "{{time}}s",
+    "second_one": "{{time}} sekund",
+    "second_other": "{{time}} sekunder",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/t"
+    },
+    "length": {
+      "feet": "fod",
+      "meters": "meter"
+    }
+  },
+  "label": {
+    "back": "Gå tilbage"
+  },
+  "button": {
+    "apply": "Anvend",
+    "reset": "Reset",
+    "done": "Udført",
+    "enabled": "Aktiveret",
+    "enable": "Aktiver",
+    "disabled": "Deaktiveret",
+    "disable": "Deaktiver",
+    "save": "Gem",
+    "saving": "Gemmer…",
+    "cancel": "Fortryd",
+    "close": "Luk",
+    "copy": "Kopier",
+    "back": "Tilbage",
+    "history": "Historik",
+    "fullscreen": "Fuldskærm",
+    "exitFullscreen": "Afslut Fludskærm",
+    "pictureInPicture": "Billede i Billede",
+    "twoWayTalk": "2 vejs samtale",
+    "cameraAudio": "Kamera Lyd",
+    "on": "ON",
+    "off": "OFF",
+    "edit": "Rediger",
+    "copyCoordinates": "Kopier koordinater",
+    "delete": "Slet",
+    "yes": "Ja",
+    "no": "Nej",
+    "download": "Download",
+    "info": "Info",
+    "suspended": "Suspenderet",
+    "unsuspended": "Ophæv suspendering",
+    "play": "Afspil",
+    "unselect": "Fravælg",
+    "export": "Eksporter",
+    "deleteNow": "Slet nu",
+    "next": "Næste"
+  },
+  "menu": {
+    "system": "System",
+    "systemMetrics": "System metrics",
+    "configuration": "Konfiguration",
+    "systemLogs": "System logs",
+    "settings": "Indstillinger",
+    "configurationEditor": "Konfiguratons Editor",
+    "languages": "Sprog",
+    "language": {
+      "en": "English (Engelsk)",
+      "es": "Español (Spansk)",
+      "zhCN": "简体中文 (Forsimplet Kinesisk)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Fransk)",
+      "ar": "العربية (Arabisk)",
+      "pt": "Português (Portugisisk)",
+      "ru": "Русский (Russisk)",
+      "de": "Deutsch (Tysk)",
+      "ja": "日本語 (Japansk)",
+      "tr": "Türkçe (Tyrkisk)",
+      "it": "Italiano (Italiensk)",
+      "nl": "Nederlands (Hollandsk)",
+      "sv": "Svenska (Svensk)",
+      "cs": "Čeština (Tjekkisk)",
+      "nb": "Norsk Bokmål (Norsk Bokmål)",
+      "ko": "한국어 (Koreansk)",
+      "vi": "Tiếng Việt (Vietnamesisk)",
+      "fa": "فارسی (Persisk)",
+      "pl": "Polski (Polsk)",
+      "uk": "Українська (Ukrainsk)",
+      "he": "עברית (Hebraisk)",
+      "el": "Ελληνικά (Græsk)",
+      "ro": "Română (Rumænsk)",
+      "hu": "Magyar (Ungarsk)",
+      "fi": "Suomi (Finsk)",
+      "da": "Dansk (Dansk)",
+      "sk": "Slovenčina (Slovakisk)",
+      "yue": "粵語 (Kantonesisk)",
+      "th": "ไทย (Thai)",
+      "ca": "Català (Katalansk)",
+      "withSystem": {
+        "label": "Brug system indstillinger for sprog"
+      }
+    },
+    "appearance": "Udseende",
+    "darkMode": {
+      "label": "Mørk tilstand",
+      "light": "Lys",
+      "dark": "Mørk",
+      "withSystem": {
+        "label": "Brug system indstillinger for mørk tilstand"
+      }
+    },
+    "withSystem": "System",
+    "theme": {
+      "label": "Tema",
+      "blue": "Blå",
+      "green": "Grøn",
+      "nord": "Nord",
+      "red": "Rød",
+      "highcontrast": "Høj Kontrast",
+      "default": "Default"
+    },
+    "help": "Hjælp",
+    "documentation": {
+      "title": "Dokumentation",
+      "label": "Frigate dokumentation"
+    },
+    "restart": "Genstart Frigate",
+    "live": {
+      "title": "Live",
+      "allCameras": "Alle kameraer",
+      "cameras": {
+        "title": "Kameraer",
+        "count_one": "{{count}} Kamera",
+        "count_other": "{{count}} Kameraer"
+      }
+    },
+    "review": "Review",
+    "explore": "Udforsk",
+    "export": "Eksporter",
+    "uiPlayground": "UI sandkasse",
+    "faceLibrary": "Face Library",
+    "user": {
+      "title": "Bruger",
+      "account": "Konto",
+      "current": "Aktiv bruger: {{user}}",
+      "anonymous": "anonym",
+      "logout": "Logout",
+      "setPassword": "Set Password"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "Kopieret URL til klippebord.",
+    "save": {
+      "title": "Gem",
+      "error": {
+        "title": "Ændringer kan ikke gemmes: {{errorMessage}}",
+        "noMessage": "Kan ikke gemme konfigurationsændringer"
+      }
+    }
+  },
+  "role": {
+    "title": "Rolle",
+    "admin": "Admin",
+    "viewer": "Viewer",
+    "desc": "Admins har fuld adgang til Frigate UI. Viewers er begrænset til at se kameraer, gennemse items, og historik i UI."
+  },
+  "pagination": {
+    "label": "paginering",
+    "previous": {
+      "title": "Forrige",
+      "label": "Gå til forrige side"
+    },
+    "next": {
+      "title": "Næste",
+      "label": "Gå til næste side"
+    },
+    "more": "Flere sider"
+  },
+  "accessDenied": {
+    "documentTitle": "Adgang forbudt - Frigate",
+    "title": "Adgang forbudt",
+    "desc": "Du har ikke tiiladelse til at se denne side."
+  },
+  "notFound": {
+    "documentTitle": "Ikke fundet - Frigate",
+    "title": "404",
+    "desc": "Side ikke fundet"
+  },
+  "selectItem": "Vælg {{item}}"
+}
diff --git a/web/public/locales/da/components/auth.json b/web/public/locales/da/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/camera.json b/web/public/locales/da/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/dialog.json b/web/public/locales/da/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/filter.json b/web/public/locales/da/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/icons.json b/web/public/locales/da/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/input.json b/web/public/locales/da/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/components/player.json b/web/public/locales/da/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/objects.json b/web/public/locales/da/objects.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/objects.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/configEditor.json b/web/public/locales/da/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/events.json b/web/public/locales/da/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/explore.json b/web/public/locales/da/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/exports.json b/web/public/locales/da/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/faceLibrary.json b/web/public/locales/da/views/faceLibrary.json
new file mode 100644
index 000000000..87f3a3437
--- /dev/null
+++ b/web/public/locales/da/views/faceLibrary.json
@@ -0,0 +1,3 @@
+{
+  "selectItem": "Vælg {{item}}"
+}
diff --git a/web/public/locales/da/views/live.json b/web/public/locales/da/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/recording.json b/web/public/locales/da/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/search.json b/web/public/locales/da/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/settings.json b/web/public/locales/da/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/da/views/system.json b/web/public/locales/da/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/da/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/de/audio.json b/web/public/locales/de/audio.json
new file mode 100644
index 000000000..0e0e50935
--- /dev/null
+++ b/web/public/locales/de/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Sprache",
+  "babbling": "Plappern",
+  "laughter": "Gelächter",
+  "bellow": "Gebrüll",
+  "whoop": "Jubel",
+  "whispering": "Flüstern",
+  "crying": "Weinen",
+  "bark": "Bellen",
+  "goat": "Ziege",
+  "car": "Auto",
+  "skateboard": "Skateboard",
+  "hair_dryer": "Haartrockner",
+  "animal": "Tier",
+  "boat": "Boot",
+  "blender": "Mixer",
+  "sink": "Waschbecken",
+  "scissors": "Schere",
+  "train": "Zug",
+  "clock": "Uhr",
+  "bird": "Vogel",
+  "motorcycle": "Motorrad",
+  "toothbrush": "Zahnbürste",
+  "bicycle": "Fahrrad",
+  "door": "Tür",
+  "keyboard": "Klaviatur",
+  "bus": "Bus",
+  "horse": "Pferd",
+  "cat": "Katze",
+  "dog": "Hund",
+  "sheep": "Schaf",
+  "mouse": "Maus",
+  "vehicle": "Fahrzeug",
+  "yell": "Schrei",
+  "snicker": "Gekicher",
+  "sigh": "Seufzer",
+  "choir": "Chor",
+  "yodeling": "Gejodel",
+  "chant": "Choral",
+  "mantra": "Mantra",
+  "child_singing": "Kindergesang",
+  "rapping": "Rappen",
+  "humming": "Summen",
+  "groan": "Stöhnen",
+  "grunt": "Grunzen",
+  "whistling": "Pfeifen",
+  "breathing": "Atmen",
+  "wheeze": "Keuchen",
+  "gasp": "nach Luft schnappen",
+  "pant": "Hecheln",
+  "snort": "Schnauben",
+  "cough": "Husten",
+  "sneeze": "Niesen",
+  "sniff": "Schnüffeln",
+  "run": "Laufen",
+  "shuffle": "Schlurfen",
+  "biting": "Beißen",
+  "gargling": "Gurgeln",
+  "stomach_rumble": "Magenknurren",
+  "burping": "Rülpsen",
+  "hiccup": "Schluckauf",
+  "fart": "Furz",
+  "hands": "Hände",
+  "finger_snapping": "Fingerschnippen",
+  "heartbeat": "Herzschlag",
+  "heart_murmur": "Herzgeräusch",
+  "cheering": "Gejubel",
+  "applause": "Beifall",
+  "chatter": "Geschwätz",
+  "crowd": "Menge",
+  "children_playing": "Kinderspiel",
+  "pets": "Haustiere",
+  "yip": "Aufjaulen",
+  "howl": "Heulen",
+  "growling": "Knurren",
+  "whimper_dog": "Hundegewimmer",
+  "purr": "Schnurren",
+  "meow": "Miauen",
+  "hiss": "Zischen",
+  "caterwaul": "Gejaule",
+  "livestock": "Vieh",
+  "clip_clop": "Klippklapp",
+  "neigh": "Wiehern",
+  "cattle": "Rinder",
+  "moo": "Muhen",
+  "cowbell": "Kuhglocke",
+  "oink": "Grunz",
+  "bleat": "Blöken",
+  "cluck": "Gackern",
+  "cock_a_doodle_doo": "Kikeriki",
+  "gobble": "Kollern",
+  "goose": "Gans",
+  "honk": "Hupen",
+  "coo": "Gurren",
+  "crow": "Krähe",
+  "dogs": "Hunde",
+  "rats": "Ratten",
+  "insect": "Insekt",
+  "fly": "Fliege",
+  "buzz": "Surren",
+  "frog": "Frosch",
+  "snake": "Schlange",
+  "hammond_organ": "Hammondorgel",
+  "synthesizer": "Synthesizer",
+  "sampler": "Probennehmer",
+  "drum_kit": "Schlagzeug",
+  "drum_machine": "Trommelsynthesizer",
+  "snare_drum": "Kleine Trommel",
+  "rimshot": "Rimshot",
+  "drum_roll": "Trommelwirbel",
+  "timpani": "Timpani",
+  "tabla": "Tabla",
+  "cymbal": "Becken",
+  "hi_hat": "Hi-Hat",
+  "wood_block": "Holzblock",
+  "tambourine": "Tamburin",
+  "tubular_bells": "Glockenspiel",
+  "camera": "Kamera",
+  "roar": "Brüllen",
+  "owl": "Eule",
+  "whale_vocalization": "Walgesang",
+  "mandolin": "Mandoline",
+  "chicken": "Huhn",
+  "sitar": "Sitar",
+  "ukulele": "Ukulele",
+  "tapping": "Klopfen",
+  "flapping_wings": "Flügelschlagen",
+  "strum": "Herumklimpern",
+  "electronic_organ": "Elektrische Orgel",
+  "duck": "Ente",
+  "quack": "Quaken",
+  "wild_animals": "Wildtiere",
+  "rattle": "Klappern",
+  "music": "Musik",
+  "pig": "Schwein",
+  "chirp": "Zwitschern",
+  "guitar": "Gitarre",
+  "plucked_string_instrument": "Zupfinstrument",
+  "hoot": "Heulen",
+  "acoustic_guitar": "Akustikgitarre",
+  "electric_piano": "Elektrisches Klavier",
+  "cricket": "Grille",
+  "mosquito": "Mücke",
+  "musical_instrument": "Musikinstrument",
+  "steel_guitar": "Hawaiigitarre",
+  "organ": "Orgel",
+  "drum": "Trommel",
+  "roaring_cats": "Katzengeschrei",
+  "footsteps": "Schritte",
+  "chewing": "Kauen",
+  "caw": "Krächzen",
+  "piano": "Klavier",
+  "clapping": "Klatschen",
+  "patter": "Trippeln",
+  "percussion": "Percussion",
+  "singing": "Gesang",
+  "bass_guitar": "Bassgitarre",
+  "fowl": "Geflügel",
+  "squawk": "Kreischen",
+  "pigeon": "Taube",
+  "snoring": "Schnarchen",
+  "synthetic_singing": "Synthetischer Gesang",
+  "bow_wow": "Wau-Wau",
+  "turkey": "Truthahn",
+  "croak": "Krächzen",
+  "electric_guitar": "Elektrische Gitarre",
+  "throat_clearing": "Räuspern",
+  "gong": "Gong",
+  "banjo": "Banjo",
+  "zither": "Zitter",
+  "harpsichord": "Cembalo",
+  "bass_drum": "Basstrommel",
+  "maraca": "Maraca",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Stahlpfanne",
+  "brass_instrument": "Blechblasinstrument",
+  "french_horn": "Waldhorn",
+  "string_section": "Streicher",
+  "violin": "Geige",
+  "pizzicato": "Pizzikato",
+  "saxophone": "Saxophon",
+  "clarinet": "Klarinette",
+  "jingle_bell": "Jingle Bell",
+  "chime": "Glockenspiel",
+  "bagpipes": "Dudelsack",
+  "theremin": "Theremin",
+  "pop_music": "Popmusik",
+  "bowed_string_instrument": "Streichinstrument",
+  "didgeridoo": "Didgeridoo",
+  "wind_chime": "Windspiel",
+  "flute": "Flöte",
+  "church_bell": "Kirchenglocke",
+  "bell": "Glocke",
+  "orchestra": "Orchester",
+  "wind_instrument": "Blasinstrument",
+  "trombone": "Posaune",
+  "bicycle_bell": "Fahrradklingel",
+  "trumpet": "Trompete",
+  "harmonica": "Mundharmonika",
+  "double_bass": "Kontrabass",
+  "cello": "Cello",
+  "harp": "Harfe",
+  "tuning_fork": "Stimmgabel",
+  "accordion": "Akkordeon",
+  "singing_bowl": "Klangschale",
+  "mallet_percussion": "Mallet-Schlagzeug",
+  "hip_hop_music": "Hip-Hop-Musik",
+  "beatboxing": "Beatboxen",
+  "punk_rock": "Punkrock",
+  "grunge": "Grunge",
+  "progressive_rock": "Progressiver Rock",
+  "psychedelic_rock": "Psychedelischer Rock",
+  "rhythm_and_blues": "Rythm and Blues",
+  "soul_music": "Soulmusik",
+  "country": "Country",
+  "swing_music": "Swingmusik",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Folkmusik",
+  "disco": "Disco",
+  "classical_music": "Klassische Musik",
+  "opera": "Oper",
+  "electronic_music": "Elektronische Musik",
+  "house_music": "House Musik",
+  "dubstep": "Dubstep",
+  "electronica": "Elektronische Medien",
+  "electronic_dance_music": "Elektronische Tanzmusik",
+  "ambient_music": "Hintergrundmusik",
+  "trance_music": "Trance-Musik",
+  "music_of_latin_america": "Lateinamerikanische Musik",
+  "salsa_music": "Salsa-Musik",
+  "blues": "Blues",
+  "vocal_music": "Vokalmusik",
+  "a_capella": "A Capella",
+  "music_of_africa": "Afrikanische Musik",
+  "gospel_music": "Gospel-Musik",
+  "music_of_asia": "Asiatische Musik",
+  "carnatic_music": "Karnatische Musik",
+  "music_of_bollywood": "Bollywood-Musik",
+  "traditional_music": "Traditionelle Musik",
+  "independent_music": "Eigenständige Musik",
+  "song": "Lied",
+  "background_music": "Hintergrundmusik",
+  "theme_music": "Titelmusik",
+  "lullaby": "Schlaflied",
+  "christmas_music": "Weihnachtsmusik",
+  "dance_music": "Tanzmusik",
+  "happy_music": "Fröhliche Musik",
+  "tender_music": "Sanfte Musik",
+  "exciting_music": "Spannende Musik",
+  "scary_music": "Gruselige Musik",
+  "wind": "Wind",
+  "wind_noise": "Windrauschen",
+  "rain_on_surface": "Regen auf einer Oberfläche",
+  "stream": "Stream",
+  "waterfall": "Wasserfall",
+  "steam": "Dampf",
+  "fire": "Feuer",
+  "crackle": "Knistern",
+  "sailboat": "Segelboot",
+  "ship": "Schiff",
+  "motor_vehicle": "Kraftfahrzeug",
+  "toot": "tuten",
+  "car_alarm": "Autoalarm",
+  "power_windows": "Elektrische Fensterheber",
+  "tire_squeal": "Reifenquietschen",
+  "car_passing_by": "Vorbeifahrendes Auto",
+  "air_brake": "Druckluftbremse",
+  "air_horn": "Autohupe",
+  "reversing_beeps": "Rückfahrpiepser",
+  "ice_cream_truck": "Eiswagen",
+  "emergency_vehicle": "Einsatzfahrzeug",
+  "police_car": "Polizeiwagen",
+  "ambulance": "Krankenwagen",
+  "fire_engine": "Feuerwehrauto",
+  "traffic_noise": "Verkehrslärm",
+  "rail_transport": "Schienentransport",
+  "train_whistle": "Zugpfeife",
+  "train_horn": "Zugsignalhorn",
+  "train_wheels_squealing": "Quietschende Eisenbahnräder",
+  "aircraft": "Flugzeug",
+  "aircraft_engine": "Flugzeugmotor",
+  "jet_engine": "Strahltriebwerk",
+  "propeller": "Propeller",
+  "helicopter": "Hubschrauber",
+  "engine": "Motor",
+  "dental_drill's_drill": "Zahnbohrer",
+  "lawn_mower": "Rasenmäher",
+  "medium_engine": "Mittlerer Motor",
+  "heavy_engine": "Schwerer Motor",
+  "engine_knocking": "Motorklopfen",
+  "engine_starting": "Motorstart",
+  "idling": "Leerlauf",
+  "doorbell": "Türklingel",
+  "ding-dong": "BimBam",
+  "sliding_door": "Schiebetür",
+  "slam": "Knall",
+  "knock": "Klopfen",
+  "tap": "Schlag",
+  "squeak": "Quietschen",
+  "drawer_open_or_close": "Schublade Öffnen oder Schließen",
+  "dishes": "Geschirr",
+  "chopping": "Kleinhacken",
+  "frying": "Braten",
+  "microwave_oven": "Mikrowelle",
+  "water_tap": "Wasserhahn",
+  "bathtub": "Badewanne",
+  "toilet_flush": "Toilettenspülung",
+  "vacuum_cleaner": "Staubsauger",
+  "zipper": "Reißverschluss",
+  "keys_jangling": "Schlüsselanhänger",
+  "coin": "Münze",
+  "electric_shaver": "Rasierapparat",
+  "typing": "Tippen",
+  "typewriter": "Schreibmaschine",
+  "computer_keyboard": "Computertastatur",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Telefonklingeln",
+  "telephone_dialing": "Telefonwahl",
+  "dial_tone": "Wählton",
+  "alarm_clock": "Wecker",
+  "siren": "Sirene",
+  "civil_defense_siren": "Zivilschutzsirene",
+  "smoke_detector": "Rauchmelder",
+  "foghorn": "Nebelhorn",
+  "whistle": "Pfeife",
+  "steam_whistle": "Dampfpfeife",
+  "mechanisms": "Mechanismen",
+  "ratchet": "Ratsche",
+  "tick": "Ticken",
+  "gears": "Getriebe",
+  "mechanical_fan": "Mechanischer Lüfter",
+  "printer": "Drucker",
+  "tools": "Werkzeuge",
+  "hammer": "Hammer",
+  "jackhammer": "Presslufthammer",
+  "sawing": "Sägen",
+  "power_tool": "Elektrowerkzeug",
+  "drill": "Bohrer",
+  "explosion": "Explosion",
+  "gunshot": "Schuss",
+  "fusillade": "Gewehrfeuer",
+  "artillery_fire": "Artilleriefeuer",
+  "cap_gun": "Maschinenpistole",
+  "fireworks": "Feuerwerk",
+  "firecracker": "Feuerwerkskörper",
+  "eruption": "Ausbruch",
+  "wood": "Holz",
+  "splinter": "Splittern",
+  "crack": "Knacken",
+  "glass": "Glas",
+  "chink": "Klirren",
+  "shatter": "Zerspringen",
+  "silence": "Stille",
+  "environmental_noise": "Umgebungsgeräusch",
+  "static": "Rauschen",
+  "pink_noise": "Rosa Rauschen",
+  "television": "Fernsehgerät",
+  "radio": "Radio",
+  "scream": "Schrei",
+  "heavy_metal": "Heavy Metal",
+  "rock_music": "Rockmusik",
+  "techno": "Techno",
+  "reggae": "Reggae",
+  "rain": "Regen",
+  "gurgling": "Plätschern",
+  "jazz": "Jazz",
+  "video_game_music": "Videospielmusik",
+  "rock_and_roll": "Rock and Roll",
+  "scratching": "Scratching",
+  "thunderstorm": "Gewitter",
+  "christian_music": "Christliche Musik",
+  "ska": "Ska",
+  "rustling_leaves": "Blätterrascheln",
+  "jingle": "Jingle",
+  "middle_eastern_music": "Orientalische Musik",
+  "drum_and_bass": "Trommel und Bass",
+  "flamenco": "Flamenco",
+  "music_for_children": "Kindermusik",
+  "new-age_music": "New-Age-Musik",
+  "afrobeat": "Afrobeat",
+  "wedding_music": "Hochzeitsmusik",
+  "soundtrack_music": "Soundtrack Musik",
+  "raindrop": "Regentropfen",
+  "sad_music": "Traurige Musik",
+  "angry_music": "Wütende Musik",
+  "ocean": "Ozean",
+  "thunder": "Donner",
+  "water": "Wasser",
+  "waves": "Wellen",
+  "race_car": "Rennwagen",
+  "rowboat": "Ruderboot",
+  "truck": "LKW",
+  "motorboat": "Motorboot",
+  "chainsaw": "Kettensäge",
+  "railroad_car": "Eisenbahnwaggon",
+  "cupboard_open_or_close": "Schrank Öffnen oder Schließen",
+  "alarm": "Alarm",
+  "filing": "Feilen",
+  "chop": "Hacken",
+  "single-lens_reflex_camera": "Spiegelreflexkamera",
+  "light_engine": "Lichtmaschine",
+  "buzzer": "Summer",
+  "sound_effect": "Geräuscheffekt",
+  "accelerating": "Beschleunigen",
+  "electric_toothbrush": "Elektrische Zahnbürste",
+  "busy_signal": "Besetztzeichen",
+  "pulleys": "Riemenscheiben",
+  "sewing_machine": "Nähmaschine",
+  "air_conditioning": "Klimaanlage",
+  "burst": "Platzen",
+  "skidding": "Schleudern",
+  "subway": "U-Bahn",
+  "tick-tock": "Ticktack",
+  "shuffling_cards": "Karten mischen",
+  "cutlery": "Besteck",
+  "cash_register": "Kasse",
+  "ringtone": "Klingelton",
+  "writing": "Schreiben",
+  "fixed-wing_aircraft": "Starrflügler",
+  "fire_alarm": "Feueralarm",
+  "white_noise": "Weißes Rauschen",
+  "sanding": "Schleifen",
+  "machine_gun": "Maschinengewehr",
+  "boom": "Dröhnen",
+  "field_recording": "Außenaufnahme"
+}
diff --git a/web/public/locales/de/common.json b/web/public/locales/de/common.json
new file mode 100644
index 000000000..8a3eff88c
--- /dev/null
+++ b/web/public/locales/de/common.json
@@ -0,0 +1,268 @@
+{
+  "time": {
+    "untilForTime": "Bis {{time}}",
+    "last7": "Letzte 7 Tage",
+    "untilForRestart": "Bis Frigate neu startet.",
+    "today": "Heute",
+    "yesterday": "Gestern",
+    "thisWeek": "Diese Woche",
+    "lastMonth": "Letzter Monat",
+    "5minutes": "5 Minuten",
+    "12hours": "12 Stunden",
+    "24hours": "24 Stunden",
+    "month_one": "{{time}} Monat",
+    "month_other": "{{time}} Monate",
+    "d": "{{time}} Tag",
+    "day_one": "{{time}} Tag",
+    "day_other": "{{time}} Tage",
+    "m": "{{time}} Minute",
+    "minute_one": "{{time}} Minute",
+    "minute_other": "{{time}} Minuten",
+    "s": "{{time}} Sekunde",
+    "second_one": "{{time}} Sekunde",
+    "second_other": "{{time}} Sekunden",
+    "formattedTimestamp2": {
+      "24hour": "dd. MMM HH:mm:ss",
+      "12hour": "dd.MM hh:mm:ss"
+    },
+    "last30": "Letzte 30 Tage",
+    "10minutes": "10 Minuten",
+    "thisMonth": "Dieser Monat",
+    "yr": "{{time}}Jahr",
+    "year_one": "{{time}}Jahr",
+    "year_other": "{{time}}Jahre",
+    "hour_one": "{{time}} Stunde",
+    "hour_other": "{{time}} Stunden",
+    "last14": "Letzte 14 Tage",
+    "30minutes": "30 Minuten",
+    "1hour": "1 Stunde",
+    "lastWeek": "Letzte Woche",
+    "h": "{{time}} Stunde",
+    "ago": "{{timeAgo}} her",
+    "untilRestart": "Bis zum Neustart",
+    "justNow": "Gerade",
+    "pm": "nachmittags",
+    "mo": "{{time}}Monat",
+    "formattedTimestamp": {
+      "12hour": "d. MMM, hh:mm:ss aaa",
+      "24hour": "dd. MMM, hh:mm:ss aaa"
+    },
+    "formattedTimestampWithYear": {
+      "24hour": "%-d %b %Y, %H:%M",
+      "12hour": "%-d %b %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%-d %b",
+    "am": "vormittags",
+    "formattedTimestampExcludeSeconds": {
+      "24hour": "%-d %b, %H:%M",
+      "12hour": "%-d %b, %H:%M"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d. MMM yyyy",
+      "24hour": "d. MMM yyyy"
+    }
+  },
+  "button": {
+    "save": "Speichern",
+    "delete": "Entfernen",
+    "apply": "Anwenden",
+    "enabled": "Aktiviert",
+    "enable": "Aktivieren",
+    "disabled": "deaktiviert",
+    "disable": "deaktivieren",
+    "saving": "Speichere…",
+    "close": "Schließen",
+    "back": "Zurück",
+    "history": "Historie",
+    "cameraAudio": "Kamera Ton",
+    "yes": "JA",
+    "info": "Info",
+    "play": "Abspielen",
+    "export": "Exportieren",
+    "deleteNow": "Jetzt löschen",
+    "next": "Nächster",
+    "fullscreen": "Vollbild",
+    "no": "Nein",
+    "off": "AUS",
+    "reset": "Zurücksetzen",
+    "copy": "Kopieren",
+    "twoWayTalk": "bidirecktionales Gespräch",
+    "exitFullscreen": "Vollbild verlassen",
+    "unselect": "Selektion aufheben",
+    "copyCoordinates": "Kopiere Koordinaten",
+    "done": "Fertig",
+    "edit": "Bearbeiten",
+    "download": "Herunterladen",
+    "cancel": "Abbrechen",
+    "pictureInPicture": "Bild in Bild",
+    "on": "AN",
+    "suspended": "Pausierte",
+    "unsuspended": "fortsetzen"
+  },
+  "label": {
+    "back": "Zurück"
+  },
+  "menu": {
+    "configurationEditor": "Konfigurationseditor",
+    "languages": "Sprachen",
+    "language": {
+      "withSystem": {
+        "label": "Sprache der Systemeinstellungen verwenden"
+      },
+      "en": "Englisch",
+      "zhCN": "简体中文 (Vereinfachtes Chinesisch)",
+      "fr": "Französisch",
+      "es": "Spanisch",
+      "ar": "Arabisch",
+      "pt": "Portugiesisch",
+      "de": "Deutsch",
+      "it": "Italienisch",
+      "nl": "Niederländisch",
+      "sv": "Schwedisch",
+      "cs": "Tschechisch",
+      "ko": "Koreanisch",
+      "pl": "Polnisch",
+      "el": "Griechisch",
+      "ro": "Rumänisch",
+      "hu": "Ungarisch",
+      "fi": "Finnisch",
+      "ru": "Russisch",
+      "ja": "Japanisch",
+      "tr": "Türkisch",
+      "da": "Dänisch",
+      "hi": "Hindi",
+      "nb": "Norwegisch",
+      "vi": "Vietnamesisch",
+      "fa": "Persisch",
+      "uk": "Ukrainisch",
+      "he": "Hebräisch",
+      "sk": "Slowakisch",
+      "yue": "粵語 (Kantonesisch)",
+      "th": "ไทย (Thailändisch)",
+      "ca": "Català (Katalanisch)"
+    },
+    "appearance": "Erscheinung",
+    "theme": {
+      "label": "Design-Thema",
+      "blue": "Blau",
+      "green": "Grün",
+      "default": "Standard",
+      "nord": "Norden",
+      "red": "Rot",
+      "contrast": "Hoher Kontrast",
+      "highcontrast": "Hoher Kontrast"
+    },
+    "help": "Hilfe",
+    "documentation": {
+      "title": "Dokumentation",
+      "label": "Frigate Dokumentation"
+    },
+    "live": {
+      "allCameras": "Alle Kameras",
+      "cameras": {
+        "title": "Kameras",
+        "count_one": "{{count}} Kamera",
+        "count_other": "{{count}} Kameras"
+      },
+      "title": "Live"
+    },
+    "review": "Überprüfen",
+    "restart": "Frigate neu starten",
+    "darkMode": {
+      "light": "Hell",
+      "label": "Dunkler Modus",
+      "dark": "Dunkel",
+      "withSystem": {
+        "label": "Verwende Systemeinstellungen fuer hell oder dunkel Modus"
+      }
+    },
+    "system": "System",
+    "configuration": "Konfigurieren",
+    "withSystem": "System",
+    "settings": "Einstellungen",
+    "systemLogs": "Systemprotokoll",
+    "systemMetrics": "Systemstatistiken",
+    "explore": "Erkunden",
+    "faceLibrary": "Gesichterbibliothek",
+    "user": {
+      "title": "Benutzer",
+      "account": "Benutzerkonto",
+      "current": "Aktueller Benutzer: {{user}}",
+      "setPassword": "Passwort setzen",
+      "anonymous": "anonym",
+      "logout": "Abmelden"
+    },
+    "uiPlayground": "Testgebiet für Benutzeroberfläche",
+    "export": "Exportieren"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "Fuß",
+      "meters": "Meter"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL in zwischenablage kopiert.",
+    "save": {
+      "error": {
+        "title": "Speichern der Konfigurationsänderungen gescheitert: {{errorMessage}}",
+        "noMessage": "Speichern der Konfigurationsänderungen gescheitert"
+      },
+      "title": "Speichern"
+    }
+  },
+  "role": {
+    "title": "Rolle",
+    "admin": "Administrator",
+    "viewer": "Zuschauer",
+    "desc": "Administratoren haben vollen Zugang zu allen funktionen der Frigate Benutzeroberfläche. Zuschauer können nur Kameras betrachten, erkannte Objekte überprüfen und historische Aufnahmen durchsehen."
+  },
+  "pagination": {
+    "previous": {
+      "title": "Voherige",
+      "label": "Zur voherigen Seite wechseln"
+    },
+    "next": {
+      "title": "Nächste",
+      "label": "Zur nächsten Seite wechseln"
+    },
+    "more": "Weitere Seiten",
+    "label": "Seitennummerierung"
+  },
+  "notFound": {
+    "title": "404",
+    "desc": "Seite nicht gefunden",
+    "documentTitle": "Nicht gefunden - Frigate"
+  },
+  "selectItem": "Wähle {{item}}",
+  "accessDenied": {
+    "desc": "Du hast keine Berechtigung diese Seite anzuzeigen.",
+    "documentTitle": "Zugang verweigert - Frigate",
+    "title": "Zugang verweigert"
+  }
+}
diff --git a/web/public/locales/de/components/auth.json b/web/public/locales/de/components/auth.json
new file mode 100644
index 000000000..8cbd1ff8c
--- /dev/null
+++ b/web/public/locales/de/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "login": "Anmeldung",
+    "errors": {
+      "passwordRequired": "Kennwort ist erforderlich",
+      "loginFailed": "Anmeldung gescheitert",
+      "webUnknownError": "Unbekannter Fehler. Prüfe Konsolenlogs.",
+      "usernameRequired": "Benutzername ist erforderlich",
+      "rateLimit": "Anmeldelimit überschritten. Bitte später erneut versuchen.",
+      "unknownError": "Unbekannter Fehler. Prüfe Logs."
+    },
+    "user": "Benutzername",
+    "password": "Kennwort"
+  }
+}
diff --git a/web/public/locales/de/components/camera.json b/web/public/locales/de/components/camera.json
new file mode 100644
index 000000000..fb6f89e74
--- /dev/null
+++ b/web/public/locales/de/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "delete": {
+      "label": "Kameragruppe löschen",
+      "confirm": {
+        "title": "Löschen bestätigen",
+        "desc": "Willst Du die Kameragruppe <em>{{name}}</em> wirklich löschen?"
+      }
+    },
+    "name": {
+      "label": "Name",
+      "placeholder": "Gib einen Namen ein…",
+      "errorMessage": {
+        "exists": "Name der Kameragruppe bereits vorhanden.",
+        "nameMustNotPeriod": "Name einer Kameragruppe darf keinen Punkt enthalten.",
+        "mustLeastCharacters": "Name einer Kameragruppe muss mindestens 2 Zeichen haben.",
+        "invalid": "Ungültiger Name für eine Kameragruppe."
+      }
+    },
+    "icon": "Icon",
+    "camera": {
+      "setting": {
+        "label": "Kamera Streaming Einstellungen",
+        "audioIsAvailable": "Audio ist für diesen Stream verfügbar",
+        "audioIsUnavailable": "Audio ist für diesen Stream nicht verfügbar",
+        "streamMethod": {
+          "label": "Streaming-Methode",
+          "method": {
+            "noStreaming": {
+              "label": "Kein Streaming",
+              "desc": "Kamerabilder werden nur einmal pro Minute aktualisiert und es wird kein Live Streaming geben."
+            },
+            "smartStreaming": {
+              "label": "Smart Streaming (empfohlen)",
+              "desc": "Smart Streaming wird Deine Kamera einmal in der Minute aktualisieren, wenn sich keine erkennbare Aktivität ereignet, um Bandbreite und Ressourcen zu schonen. Sobald eine Aktivität erkannt wird, wechselt das Standbild sofort zu einem Live Stream."
+            },
+            "continuousStreaming": {
+              "label": "Kontinuierliches Streaming",
+              "desc": {
+                "title": "Das auf einem Dashboard sichtbare Kamerabild ist immer ein Live Stream, selbst wenn keine Aktivität erkannt wird.",
+                "warning": "Kontinuierliches Streaming kann zu hoher Bandbreitenausnutzung und zu Performanceproblemen führen. Bitte behutsam nutzen."
+              }
+            }
+          },
+          "placeholder": "Wähle eine streaming Methode"
+        },
+        "title": "{{cameraName}} Streaming Einstellungen",
+        "compatibilityMode": {
+          "desc": "Aktiviere diese Option nur, falls der Live Stream Deiner Kamera Farbstörungen zeigt und eine Diagonale Linie auf der rechten Seite des Bildes hat.",
+          "label": "Kompatibilitätsmodus"
+        },
+        "audio": {
+          "tips": {
+            "title": "Audio muss in der Kamera verfügbar und in go2rtc für diesen Stream konfiguriert sein.",
+            "document": "Lies die Dokumentation. "
+          }
+        },
+        "desc": "Ändere die Live Stream Optionen für das Dashboard dieser Kameragruppe. <em>Diese Einstellungen sind geräte-/browserspezifisch.</em>",
+        "stream": "Stream",
+        "placeholder": "Wähle einen Stream"
+      }
+    },
+    "add": "Kameragruppe hinzufügen",
+    "cameras": {
+      "label": "Kameras",
+      "desc": "Wähle Kameras für diese Gruppe aus."
+    },
+    "label": "Kameragruppen",
+    "edit": "Kameragruppe bearbeiten",
+    "success": "Kameragruppe {{name}} wurde gespeichert."
+  },
+  "debug": {
+    "options": {
+      "title": "Optionen",
+      "hideOptions": "Verberge Optionen",
+      "label": "Einstellungen",
+      "showOptions": "Zeige Optionen"
+    },
+    "timestamp": "Zeitstempel",
+    "zones": "Zonen",
+    "mask": "Maske",
+    "motion": "Bewegung",
+    "regions": "Regionen",
+    "boundingBox": "Begrenzungsrechteck"
+  }
+}
diff --git a/web/public/locales/de/components/dialog.json b/web/public/locales/de/components/dialog.json
new file mode 100644
index 000000000..cedd1c114
--- /dev/null
+++ b/web/public/locales/de/components/dialog.json
@@ -0,0 +1,123 @@
+{
+  "restart": {
+    "title": "Sind Sie sicher, dass Sie Frigate neustarten wollen?",
+    "restarting": {
+      "title": "Frigate startet neu",
+      "content": "Diese Seite wird in {{countdown}} Sekunde(n) aktualisiert.",
+      "button": "Neuladen erzwingen"
+    },
+    "button": "Neustarten"
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "true": {
+          "label": "Bestätigen Sie das Label für Frigate Plus",
+          "true_one": "Das ist ein/eine {{label}}",
+          "true_other": "Dies sind {{label}}"
+        },
+        "state": {
+          "submitted": "Übermittelt"
+        },
+        "false": {
+          "false_one": "Das ist kein(e) {{label}}",
+          "false_other": "Das sind kein(e) {{label}}",
+          "label": "Bestätige dieses Label nicht für Frigate Plus"
+        },
+        "question": {
+          "label": "Bestätige diese Beschriftung für Frigate Plus",
+          "ask_a": "Ist dieses Objekt ein <code>{{label}}</code>?",
+          "ask_an": "Ist dieses Objekt ein <code>{{label}}</code>?",
+          "ask_full": "Ist dieses Objekt ein <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      },
+      "submitToPlus": {
+        "label": "An Frigate+ übermitteln",
+        "desc": "Objekte an Orten die du vermeiden möchtest, sind keine Fehlalarme. Wenn du sie als Fehlalarme meldest, verwirrst du das Modell."
+      }
+    },
+    "video": {
+      "viewInHistory": "Im Verlauf ansehen"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Aus der Zeitleiste auswählen",
+      "start": {
+        "title": "Startzeit",
+        "label": "Startzeit auswählen"
+      },
+      "end": {
+        "label": "Endzeit auswählen",
+        "title": "Endzeit"
+      },
+      "lastHour_one": "Letzte Stunde",
+      "lastHour_other": "Letzte {{count}} Stunden",
+      "custom": "Benutzerdefiniert"
+    },
+    "name": {
+      "placeholder": "Export benennen"
+    },
+    "select": "Auswählen",
+    "selectOrExport": "Auswählen oder Exportieren",
+    "toast": {
+      "error": {
+        "endTimeMustAfterStartTime": "Die Endzeit darf nicht vor der Startzeit liegen",
+        "failed": "Fehler beim Starten des Exports: {{error}}",
+        "noVaildTimeSelected": "Kein gültiger Zeitraum ausgewählt"
+      },
+      "success": "Export erfolgreich gestartet. Die Datei befindet sich im Ordner /exports."
+    },
+    "fromTimeline": {
+      "saveExport": "Export speichern",
+      "previewExport": "Exportvorschau"
+    },
+    "export": "Exportieren"
+  },
+  "streaming": {
+    "restreaming": {
+      "disabled": "Für diese Kamera ist das Restreaming nicht aktiviert.",
+      "desc": {
+        "readTheDocumentation": "Weitere Informationen in der Dokumentation",
+        "title": "Konfiguriere go2rtc, um erweiterte Live-Ansichtsoptionen und Audio für diese Kamera zu nutzen."
+      }
+    },
+    "showStats": {
+      "label": "Stream-Statistiken anzeigen",
+      "desc": "Stream-Statistiken werden bei aktivierter Option als Overlay im Kamera-Feed eingeblendet."
+    },
+    "debugView": "Debug-Ansicht",
+    "label": "Stream"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Suche speichern",
+      "desc": "Gib einen Namen für diese gespeicherte Suche an.",
+      "placeholder": "Gib einen Namen für die Suche ein",
+      "overwrite": "{{searchName}} existiert bereits. Beim Speichern wird der vorhandene Wert überschrieben.",
+      "button": {
+        "save": {
+          "label": "Diese Suche speichern"
+        }
+      },
+      "success": "Die Suche {{searchName}} wurde gespeichert."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Bestätige Löschung",
+      "desc": {
+        "selected": "Bist du sicher, dass du alle aufgezeichneten Videos, die mit diesem Beitrag verbunden sind, löschen möchtest?<br /><br />Halte <em>Shift</em>-Taste gedrückt, um diesen Dialog in Zukunft zu umgehen."
+      },
+      "toast": {
+        "success": "Das Videomaterial des gewählten Eintrags wurde erfolgreich gelöscht.",
+        "error": "Löschen is fehlgeschlagen: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Exportieren",
+      "markAsReviewed": "Als geprüft markieren",
+      "deleteNow": "Jetzt löschen"
+    }
+  }
+}
diff --git a/web/public/locales/de/components/filter.json b/web/public/locales/de/components/filter.json
new file mode 100644
index 000000000..a2c7db779
--- /dev/null
+++ b/web/public/locales/de/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "all": {
+      "short": "Labels",
+      "title": "Alle Labels"
+    },
+    "label": "Labels",
+    "count_one": "{{count}} Label",
+    "count_other": "{{count}} Labels"
+  },
+  "zones": {
+    "all": {
+      "title": "Alle Zonen",
+      "short": "Zonen"
+    },
+    "label": "Zonen"
+  },
+  "dates": {
+    "all": {
+      "title": "Alle Zeiträume",
+      "short": "Daten"
+    },
+    "selectPreset": "Wähle eine Voreinstellung aus…"
+  },
+  "reset": {
+    "label": "Filter auf Standardwerte zurücksetzen"
+  },
+  "more": "Mehr Filter",
+  "timeRange": "Zeitraum",
+  "subLabels": {
+    "all": "Alle Unterkategorien",
+    "label": "Unterkategorie"
+  },
+  "features": {
+    "label": "Eigenschaften",
+    "hasSnapshot": "Hat einen Schnappschuss",
+    "hasVideoClip": "Hat einen Video-Clip",
+    "submittedToFrigatePlus": {
+      "label": "Eingereicht bei Frigate+",
+      "tips": "Du musst zuerst nach deine erkannten Objekten, die einen Schnappschuss haben, filtern. <br /><br /> Erkante Objekte ohne Schnappschuss können nicht zu Frigate+ übermittelt werden."
+    }
+  },
+  "score": "Ergebnis",
+  "estimatedSpeed": "Geschätzte Geschwindigkeit ({{unit}})",
+  "sort": {
+    "label": "Sortieren",
+    "dateAsc": "Datum (Aufsteigend)",
+    "dateDesc": "Datum (Absteigend)",
+    "scoreAsc": "Objekt Wertung (Aufsteigend)",
+    "scoreDesc": "Objekt Wertung (Absteigend)",
+    "speedAsc": "Geschätzte Geschwindigkeit (Aufsteigend)",
+    "relevance": "Relevanz",
+    "speedDesc": "Geschätzte Geschwindigkeit (absteigend)"
+  },
+  "cameras": {
+    "all": {
+      "title": "Alle Kameras",
+      "short": "Kameras"
+    },
+    "label": "Kamera Filter"
+  },
+  "motion": {
+    "showMotionOnly": "Zeige nur Bewegung"
+  },
+  "review": {
+    "showReviewed": "Geprüfte anzeigen"
+  },
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "title": "Standardansicht",
+        "desc": "Wenn keine Filter ausgewählt sind, wird eine Zusammenfassung der zuletzt verfolgten Objekte pro Kategorie oder ein ungefiltertes Raster angezeigt.",
+        "summary": "Zusammenfassung",
+        "unfilteredGrid": "Ungefiltertes Raster"
+      },
+      "title": "Einstellungen",
+      "gridColumns": {
+        "title": "Rasterspalten",
+        "desc": "Wähle die Anzahl der Spalten in der Rasteransicht."
+      },
+      "searchSource": {
+        "options": {
+          "description": "Beschreibung",
+          "thumbnailImage": "Vorschaubild"
+        },
+        "label": "Quelle der Suche",
+        "desc": "Wähle, ob die Miniaturansichten oder die Beschreibungen der erkannten Objekte durchsucht werden sollen."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Wähle ein Datum zum Filtern"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Log-Ebene filtern",
+    "filterBySeverity": "Protokolle nach Schweregrad filtern",
+    "loading": {
+      "title": "Lade",
+      "desc": "Wenn das Protokollfenster nach unten gescrollt wird, werden neue Protokolle automatisch geladen, sobald sie hinzugefügt werden."
+    },
+    "disableLogStreaming": "Log des Streams deaktvieren",
+    "allLogs": "Alle Logs"
+  },
+  "trackedObjectDelete": {
+    "title": "Bestätige Löschung",
+    "toast": {
+      "success": "Erkannte Objekte erfolgreich gelöscht.",
+      "error": "Das Löschen von verfolgten Objekten ist fehlgeschlagen: {{errorMessage}}"
+    },
+    "desc": "Beim Löschen dieser {{objectLength}} verfolgten Objekte werden der Schnappschuss, alle gespeicherten Einbettungen und alle zugehörigen Objektlebenszykluseinträge entfernt. Aufgezeichnetes Filmmaterial dieser verfolgten Objekte in der Verlaufsansicht wird <em>NICHT</em> gelöscht. <br /><br />Bist du sicher, dass du fortfahren möchtest?<br /><br />Halte die <em>Shift-Taste</em> gedrückt, um diesen Dialog in Zukunft zu umgehen."
+  },
+  "zoneMask": {
+    "filterBy": "Nach Zonenmaskierung filtern"
+  },
+  "recognizedLicensePlates": {
+    "noLicensePlatesFound": "Keine Kennzeichen gefunden.",
+    "title": "Bekannte Kennzeichen",
+    "loadFailed": "Bekannte Nummernschilder konnten nicht geladen werden.",
+    "loading": "Lade bekannte Nummernschilder…",
+    "placeholder": "Tippe, um Kennzeichen zu suchen…",
+    "selectPlatesFromList": "Wählen eine oder mehrere Kennzeichen aus der Liste aus."
+  }
+}
diff --git a/web/public/locales/de/components/icons.json b/web/public/locales/de/components/icons.json
new file mode 100644
index 000000000..41d608b27
--- /dev/null
+++ b/web/public/locales/de/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "Suche nach einem Icon…"
+    },
+    "selectIcon": "Wähle ein Icon"
+  }
+}
diff --git a/web/public/locales/de/components/input.json b/web/public/locales/de/components/input.json
new file mode 100644
index 000000000..fcee21c6a
--- /dev/null
+++ b/web/public/locales/de/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Video herunterladen",
+      "toast": {
+        "success": "Das Herunterladen des überprüften Videos wurde gestartet."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/de/components/player.json b/web/public/locales/de/components/player.json
new file mode 100644
index 000000000..a6b251f01
--- /dev/null
+++ b/web/public/locales/de/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Keine Aufnahmen für diesen Zeitpunkt gefunden",
+  "noPreviewFound": "Keine Vorschau gefunden",
+  "submitFrigatePlus": {
+    "title": "Dieses Bild an Frigate+ senden?",
+    "submit": "Senden"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 oder höher ist für diesen Typ eines Live-Streams erforderlich.",
+  "streamOffline": {
+    "title": "Stream ist offline",
+    "desc": "Es wurden keine Bilder vom <code>Erkennungsstream</code> der Kamera {{cameraName}} empfangen, bitte Logs überprüfen"
+  },
+  "cameraDisabled": "Kamera ist deaktiviert",
+  "stats": {
+    "streamType": {
+      "title": "Stream Typ:",
+      "short": "Typ"
+    },
+    "bandwidth": {
+      "title": "Bandbreite:",
+      "short": "Bandbreite"
+    },
+    "latency": {
+      "title": "Latenz:",
+      "value": "{{seconds}} Sekunden",
+      "short": {
+        "title": "Lazenz",
+        "value": "{{seconds}} s"
+      }
+    },
+    "droppedFrames": {
+      "short": {
+        "title": "Ausgelassen",
+        "value": "{{droppedFrames}} Bilder"
+      },
+      "title": "Ausgelassene Bilder:"
+    },
+    "decodedFrames": "Dekodierte Bilder:",
+    "droppedFrameRate": "Verlorene Bildrate:",
+    "totalFrames": "Bilder insgesamt:"
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Bild an Frigate+ senden gescheitert"
+    },
+    "success": {
+      "submittedFrigatePlus": "Bild erfolgreich an Frigate+ gesendet"
+    }
+  },
+  "noPreviewFoundFor": "Keine Vorschau für {{cameraName}} gefunden"
+}
diff --git a/web/public/locales/de/objects.json b/web/public/locales/de/objects.json
new file mode 100644
index 000000000..57fb35617
--- /dev/null
+++ b/web/public/locales/de/objects.json
@@ -0,0 +1,120 @@
+{
+  "boat": "Boot",
+  "traffic_light": "Ampel",
+  "fire_hydrant": "Hydrant",
+  "stop_sign": "Stoppschild",
+  "bench": "Bank",
+  "bird": "Vogel",
+  "cow": "Kuh",
+  "elephant": "Elefant",
+  "bear": "Bär",
+  "zebra": "Zebra",
+  "giraffe": "Giraffe",
+  "shoe": "Schuh",
+  "tie": "Krawatte",
+  "frisbee": "Frisbee",
+  "skis": "Skier",
+  "kite": "Drachen",
+  "skateboard": "Skateboard",
+  "surfboard": "Surfbrett",
+  "plate": "Platte",
+  "cup": "Tasse",
+  "spoon": "Löffel",
+  "sandwich": "Sandwich",
+  "broccoli": "Brokkoli",
+  "carrot": "Karotte",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "cake": "Kuchen",
+  "chair": "Stuhl",
+  "couch": "Couch",
+  "bed": "Bett",
+  "dining_table": "Esstisch",
+  "toilet": "Toilette",
+  "door": "Tür",
+  "sink": "Waschbecken",
+  "refrigerator": "Kühlschrank",
+  "book": "Buch",
+  "bbq_grill": "BBQ Grill",
+  "amazon": "Amazon",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "Post",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "purolator": "Purolator",
+  "postnord": "PostNord",
+  "dpd": "DPD",
+  "snowboard": "Snowboard",
+  "baseball_bat": "Baseballschläger",
+  "knife": "Messer",
+  "squirrel": "Eichhörnchen",
+  "animal": "Tier",
+  "blender": "Mixer",
+  "vase": "Vase",
+  "orange": "Orange",
+  "teddy_bear": "Teddybär",
+  "on_demand": "Auf Anfrage",
+  "scissors": "Schere",
+  "ups": "UPS",
+  "train": "Zug",
+  "toaster": "Toaster",
+  "clock": "Uhr",
+  "mirror": "Spiegel",
+  "backpack": "Rucksack",
+  "motorcycle": "Motorrad",
+  "window": "Fenster",
+  "toothbrush": "Zahnbürste",
+  "package": "Paket",
+  "hair_brush": "Haarbürste",
+  "apple": "Apfel",
+  "banana": "Banane",
+  "parking_meter": "Parkuhr",
+  "oven": "Ofen",
+  "umbrella": "Regenschirm",
+  "eye_glasses": "Brillen",
+  "robot_lawnmower": "Mähroboter",
+  "potted_plant": "Topfpflanze",
+  "waste_bin": "Abfallbehälter",
+  "license_plate": "Kennzeichen",
+  "bottle": "Flasche",
+  "deer": "Reh",
+  "usps": "USPS",
+  "person": "Person",
+  "bowl": "Schüssel",
+  "microwave": "Mikrowelle",
+  "bicycle": "Fahrrad",
+  "car": "Auto",
+  "fork": "Gabel",
+  "tv": "Fernseher",
+  "laptop": "Laptop",
+  "mouse": "Maus",
+  "goat": "Ziege",
+  "keyboard": "Klaviatur",
+  "cell_phone": "Handy",
+  "remote": "Fernbedienung",
+  "airplane": "Flugzeug",
+  "tennis_racket": "Tennisschläger",
+  "bus": "Bus",
+  "street_sign": "Straßenschild",
+  "horse": "Pferd",
+  "bark": "Bellen",
+  "cat": "Katze",
+  "wine_glass": "Weinglas",
+  "dog": "Hund",
+  "sheep": "Schaf",
+  "hat": "Hut",
+  "hot_dog": "Hot Dog",
+  "baseball_glove": "Baseballhandschuh",
+  "suitcase": "Koffer",
+  "handbag": "Handtasche",
+  "sports_ball": "Sportball",
+  "hair_dryer": "Haartrockner",
+  "vehicle": "Fahrzeug",
+  "face": "Gesicht",
+  "fox": "Fuchs",
+  "desk": "Schreibtisch",
+  "raccoon": "Waschbär",
+  "rabbit": "Kaninchen",
+  "gls": "GLS"
+}
diff --git a/web/public/locales/de/views/configEditor.json b/web/public/locales/de/views/configEditor.json
new file mode 100644
index 000000000..7f975e31b
--- /dev/null
+++ b/web/public/locales/de/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Konfigurationseditor",
+  "copyConfig": "Konfiguration kopieren",
+  "saveAndRestart": "Sichern und Neustarten",
+  "saveOnly": "Nur Sichern",
+  "toast": {
+    "error": {
+      "savingError": "Fehler beim Speichern der Konfiguration"
+    },
+    "success": {
+      "copyToClipboard": "Konfiguration in Zwischenablage kopiert."
+    }
+  },
+  "documentTitle": "Konfigurationseditor – Frigate",
+  "confirm": "Verlassen ohne zu Speichern?"
+}
diff --git a/web/public/locales/de/views/events.json b/web/public/locales/de/views/events.json
new file mode 100644
index 000000000..2a38ac029
--- /dev/null
+++ b/web/public/locales/de/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Alarme",
+  "detections": "Erkennungen",
+  "motion": {
+    "label": "Bewegung",
+    "only": "nur Bewegung"
+  },
+  "empty": {
+    "alert": "Es gibt keine zu prüfenden Alarme",
+    "detection": "Es gibt keine zu prüfenden Erkennungen",
+    "motion": "Keine Bewegungsdaten gefunden"
+  },
+  "timeline": "Zeitleiste",
+  "timeline.aria": "Zeitleiste auswählen",
+  "events": {
+    "label": "Ereignisse",
+    "noFoundForTimePeriod": "Keine Ereignisse für diesen Zeitraum gefunden.",
+    "aria": "Wähle Ereignisse aus"
+  },
+  "documentTitle": "Überprüfung - Frigate",
+  "recordings": {
+    "documentTitle": "Aufnahmen - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Letzte 24 Stunden"
+  },
+  "newReviewItems": {
+    "label": "Neue zu prüfende Objekte anschauen",
+    "button": "Neue zu prüfende Objekte"
+  },
+  "markTheseItemsAsReviewed": "Diese Objekte als geprüft kennzeichnen",
+  "camera": "Kamera",
+  "allCameras": "Alle Kameras",
+  "markAsReviewed": "Als geprüft kennzeichnen",
+  "selected_one": "{{count}} ausgewählt",
+  "selected_other": "{{count}} ausgewählt",
+  "detected": "erkannt"
+}
diff --git a/web/public/locales/de/views/explore.json b/web/public/locales/de/views/explore.json
new file mode 100644
index 000000000..ee518fc11
--- /dev/null
+++ b/web/public/locales/de/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "details": {
+    "timestamp": "Zeitstempel",
+    "item": {
+      "title": "Item-Details begutachten",
+      "desc": "Item-Details begutachten",
+      "button": {
+        "share": "Diese Aufnahme teilen",
+        "viewInExplore": "Ansicht in Erkunden"
+      },
+      "tips": {
+        "hasMissingObjects": "Passe die Konfiguration an, so dass Frigate verfolgte Objekte für die folgenden Kategorien speichert: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} nicht verfügbares Objekt wurde entdeckt und in diese Überprüfung einbezogen. Dieses Objekt hat sich entweder nicht für einen Alarm oder eine Erkennung qualifiziert oder wurde bereits bereinigt/gelöscht.",
+        "mismatch_other": "{{count}} nicht verfügbare Objekte wurden entdeckt und in diese Überprüfung einbezogen. Diese Objekte haben sich entweder nicht für einen Alarm oder eine Erkennung qualifiziert oder wurden bereits bereinigt/gelöscht."
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Unterkategorie erfolgreich aktualisiert.",
+          "updatedLPR": "Nummernschild erfolgreich aktualisiert.",
+          "regenerate": "Eine neue Beschreibung wurde von {{provider}} angefordert. Je nach Geschwindigkeit des Anbieters kann es einige Zeit dauern, bis die neue Beschreibung generiert ist."
+        },
+        "error": {
+          "regenerate": "Der Aufruf von {{provider}} für eine neue Beschreibung ist fehlgeschlagen: {{errorMessage}}",
+          "updatedSublabelFailed": "Untekategorie konnte nicht aktualisiert werden: {{errorMessage}}",
+          "updatedLPRFailed": "Aktualisierung des Kennzeichens fehlgeschlagen: {{errorMessage}}"
+        }
+      }
+    },
+    "label": "Label",
+    "zones": "Zonen",
+    "editSubLabel": {
+      "title": "Unterkategorie bearbeiten",
+      "desc": "Geben Sie eine neue Unterkategorie für dieses {{label}} ein",
+      "descNoLabel": "Geben Sie eine neue Unterkategorie für dieses verfolgte Objekt ein"
+    },
+    "editLPR": {
+      "title": "Kennzeichen bearbeiten",
+      "desc": "Gib einen neuen Kennzeichenwert für dieses {{label}} ein",
+      "descNoLabel": "Gib einen neuen Kennzeichenwert für dieses verfolgte Objekt ein"
+    },
+    "topScore": {
+      "label": "Beste Ergebnisse",
+      "info": "Die höchste Punktzahl ist der höchste Medianwert für das verfolgte Objekt und kann daher von der auf der Miniaturansicht des Suchergebnisses angezeigten Punktzahl abweichen."
+    },
+    "recognizedLicensePlate": "Erkanntes Kennzeichen",
+    "estimatedSpeed": "Geschätzte Geschwindigkeit",
+    "objects": "Objekte",
+    "camera": "Kamera",
+    "button": {
+      "findSimilar": "Finde ähnliche",
+      "regenerate": {
+        "title": "Erneuern",
+        "label": "Beschreibung des verfolgten Objekts neu generieren"
+      }
+    },
+    "description": {
+      "label": "Beschreibung",
+      "placeholder": "Beschreibund des verfolgten Objekts",
+      "aiTips": "Frigate wird erst dann eine Beschreibung vom generativen KI-Anbieter anfordern, wenn der Lebenszyklus des verfolgten Objekts beendet ist."
+    },
+    "expandRegenerationMenu": "Erneuerungsmenü erweitern",
+    "regenerateFromSnapshot": "Aus Snapshot neu generieren",
+    "regenerateFromThumbnails": "Aus Vorschaubild neu generieren",
+    "tips": {
+      "descriptionSaved": "Erfolgreich gespeicherte Beschreibung",
+      "saveDescriptionFailed": "Die Aktualisierung der Beschreibung ist fehlgeschlagen: {{errorMessage}}"
+    },
+    "snapshotScore": {
+      "label": "Schnappschuss Bewertung"
+    }
+  },
+  "documentTitle": "Erkunde - Frigate",
+  "generativeAI": "Generative KI",
+  "exploreIsUnavailable": {
+    "title": "Erkunden ist nicht Verfügbar",
+    "embeddingsReindexing": {
+      "context": "Erkunden kann nach der Re-Indexierung der verfolgten Objekte verwendet werden.",
+      "startingUp": "Startet…",
+      "estimatedTime": "Voraussichtlich verbleibende Zeit:",
+      "finishingShortly": "Bald erledigt",
+      "step": {
+        "thumbnailsEmbedded": "Vorschaubilder eingebettet: ",
+        "descriptionsEmbedded": "Beschreibungen eingebettet: ",
+        "trackedObjectsProcessed": "Verfolgte Objekte bearbeitet: "
+      }
+    },
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Vision Model",
+        "visionModelFeatureExtractor": "Vision Model Feature Extraktor",
+        "textModel": "Text Model",
+        "textTokenizer": "Text Tokenizer"
+      },
+      "tips": {
+        "context": "Sie sollten eine Re-Indexierung der verfolgten Objekte durchführen, sobald die Modelle heruntergeladen sind.",
+        "documentation": "Lesen Sie die Dokumentation"
+      },
+      "error": "Ein Fehler ist aufgetreten. Bitte prüfen Sie die Frigate Logs.",
+      "context": "Frigate lädt derzeit benötigte Modelle für den Support des \"Semantic Search\"-Features. Je nach der Geschwindigkeit der Netzwerkverbindung kann dies einige Minuten in Anspruch nehmen."
+    }
+  },
+  "trackedObjectDetails": "Details zu verfolgtem Objekt",
+  "objectLifecycle": {
+    "noImageFound": "Kein Bild für diesen Zeitstempel gefunden.",
+    "createObjectMask": "Objekt-Maske erstellen",
+    "lifecycleItemDesc": {
+      "entered_zone": "{{label}} hat {{zones}} betreten",
+      "visible": "{{label}} erkannt",
+      "attribute": {
+        "other": "{{label}} erkannt als {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} erkannt für {{label}}"
+      },
+      "external": "{{label}} erkannt",
+      "active": "{{label}} wurde aktiv",
+      "gone": "{{label}} hat verlassen",
+      "stationary": "{{label}} wurde stationär",
+      "heard": "{{label}} gehört",
+      "header": {
+        "ratio": "Verhältnis",
+        "area": "Bereich",
+        "zones": "Zonen"
+      }
+    },
+    "annotationSettings": {
+      "offset": {
+        "documentation": "Lesen Sie die Dokumentation ",
+        "label": "Anmerkungen Versatz",
+        "desc": "Diese Daten stammen aus dem Erkennungs-Feed der Kamera, werden aber mit Bildern aus dem Aufnahme-Feed überlagert. Es ist unwahrscheinlich, dass die beiden Streams perfekt synchronisiert sind. Daher stimmen die Bounding Box und das Filmmaterial nicht perfekt überein. Das Feld <code>annotation_offset</code> kann jedoch verwendet werden, um dies anzupassen.",
+        "millisecondsToOffset": "Millisekunden, um die Erkennungen verschoben werden soll. <em>Standard: 0</em>",
+        "tips": "TIPP: Stelle dir einen Ereignisclip vor, in dem eine Person von links nach rechts läuft. Wenn die Bounding Box der Ereigniszeitleiste durchgehend links von der Person liegt, sollte der Wert verringert werden. Ähnlich verhält es sich, wenn eine Person von links nach rechts geht und die Bounding Box durchgängig vor der Person liegt, dann sollte der Wert erhöht werden.",
+        "toast": {
+          "success": "Versatz für {{camera}} wurde in der Konfigurationsdatei gespeichert. Starten Sie Frigate neu, um Ihre Änderungen zu übernehmen."
+        }
+      },
+      "showAllZones": {
+        "title": "Zeige alle Zonen",
+        "desc": "Immer Zonen auf Rahmen anzeigen, in die Objekte eingetreten sind."
+      },
+      "title": "Anmerkungseinstellungen"
+    },
+    "adjustAnnotationSettings": "Anmerkungseinstellungen anpassen",
+    "title": "Objekt-Lebenszyklus",
+    "carousel": {
+      "next": "Nächste Anzeige",
+      "previous": "Vorherige Anzeige"
+    },
+    "scrollViewTips": "Scrolle um die wichtigsten Momente dieses Objekts anzuzeigen.",
+    "autoTrackingTips": "Die Positionen der Bounding Box sind bei Kameras mit automatischer Verfolgung ungenau.",
+    "count": "{{first}} von {{second}}",
+    "trackedPoint": "Verfolgter Punkt"
+  },
+  "type": {
+    "details": "Details",
+    "video": "Video",
+    "object_lifecycle": "Objekt-Lebenszyklus",
+    "snapshot": "Snapshot"
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "label": "Schnappschuss herunterladen",
+      "aria": "Schnappschuss herunterladen"
+    },
+    "downloadVideo": {
+      "label": "Video herunterladen",
+      "aria": "Video herunterladen"
+    },
+    "viewObjectLifecycle": {
+      "label": "Lebenszyklus von Objekten anzeigen",
+      "aria": "Den Lebenszyklus des Objekts anzeigen"
+    },
+    "findSimilar": {
+      "label": "Ähnliches finden",
+      "aria": "Ähnliche verfolgte Objekte finden"
+    },
+    "submitToPlus": {
+      "label": "Bei Frigate+ einreichen",
+      "aria": "Bei Frigate+ einreichen"
+    },
+    "viewInHistory": {
+      "label": "Ansicht im Verlauf",
+      "aria": "Ansicht im Verlauf"
+    },
+    "deleteTrackedObject": {
+      "label": "Dieses verfolgte Objekt löschen"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Löschen bestätigen",
+      "desc": "Beim Löschen dieses verfolgten Objekts werden der Schnappschuss, alle gespeicherten Einbettungen und alle zugehörigen Objektlebenszykluseinträge entfernt. Aufgezeichnetes Filmmaterial dieses verfolgten Objekts in der Verlaufsansicht wird <em>NICHT</em> gelöscht. <br /><br />Sind Sie sicher, dass Sie fortfahren möchten?"
+    }
+  },
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Verfolgtes Objekt erfolgreich gelöscht.",
+        "error": "Das verfolgte Objekt konnte nicht gelöscht werden: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Entspricht {{type}} bei {{confidence}}%"
+  },
+  "noTrackedObjects": "Keine verfolgten Objekte gefunden",
+  "fetchingTrackedObjectsFailed": "Fehler beim Abrufen von verfolgten Objekten: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} verfolgtes Objekt ",
+  "trackedObjectsCount_other": "{{count}} verfolgte Objekte ",
+  "exploreMore": "Erkunde mehr {{label}} Objekte"
+}
diff --git a/web/public/locales/de/views/exports.json b/web/public/locales/de/views/exports.json
new file mode 100644
index 000000000..2fb729cc2
--- /dev/null
+++ b/web/public/locales/de/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "deleteExport": "Export löschen",
+  "editExport": {
+    "title": "Export umbenennen",
+    "desc": "Gib einen neuen Namen für diesen Export an.",
+    "saveExport": "Export speichern"
+  },
+  "documentTitle": "Exportieren - Frigate",
+  "deleteExport.desc": "Soll {{exportName}} wirklich gelöscht werden?",
+  "search": "Suche",
+  "noExports": "Keine Exporte gefunden",
+  "toast": {
+    "error": {
+      "renameExportFailed": "Umbenennen des Exports fehlgeschlagen: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/de/views/faceLibrary.json b/web/public/locales/de/views/faceLibrary.json
new file mode 100644
index 000000000..960c555db
--- /dev/null
+++ b/web/public/locales/de/views/faceLibrary.json
@@ -0,0 +1,100 @@
+{
+  "description": {
+    "placeholder": "Gib einen Name für diese Kollektion ein",
+    "addFace": "Anleitung für das Hinzufügen einer neuen Kollektion zur Gesichtsbibliothek.",
+    "invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten."
+  },
+  "details": {
+    "person": "Person",
+    "confidence": "Vertrauen",
+    "timestamp": "Zeitstempel",
+    "faceDesc": "Details des verfolgten Objekts, das dieses Gesicht erzeugt hat",
+    "face": "Gesichtsdetails",
+    "subLabelScore": "Sub Label Score",
+    "scoreInfo": "Der Sub Label Score ist der gewichtete Score für alle erkannten Gesichter und kann daher vom Score abweichen, der auf dem Schnappschuss angezeigt wird.",
+    "unknown": "Unbekannt"
+  },
+  "uploadFaceImage": {
+    "title": "Lade Gesichtsbild hoch",
+    "desc": "Lade ein Bild zur Gesichtserkennung hoch und füge es für {{pageToggle}} hinzu"
+  },
+  "createFaceLibrary": {
+    "title": "Kollektion erstellen",
+    "new": "Lege ein neues Gesicht an",
+    "desc": "Erstelle eine neue Kollektion",
+    "nextSteps": "Um eine solide Grundlage zu bilden: <li> Benutze den Trainieren Tab, um Bilder für jede erkannte Person auszuwählen und zu trainieren.</li> <li>Konzentriere dich für gute Ergebnisse auf Frontalfotos; vermeide Bilder zu Trainingszwecken, bei denen Gesichter aus einem Winkel erfasst wurden.</li></ul>"
+  },
+  "documentTitle": "Gesichtsbibliothek - Frigate",
+  "selectItem": "Wähle {{item}}",
+  "selectFace": "Wähle Gesicht",
+  "imageEntry": {
+    "dropActive": "Ziehe das Bild hierher…",
+    "dropInstructions": "Ziehe ein Bild hier her oder klicke um eines auszuwählen",
+    "maxSize": "Maximale Größe: {{size}} MB",
+    "validation": {
+      "selectImage": "Bitte wähle ein Bild aus."
+    }
+  },
+  "button": {
+    "addFace": "Gesicht hinzufügen",
+    "uploadImage": "Bild hochladen",
+    "deleteFaceAttempts": "Lösche Gesichter",
+    "reprocessFace": "Gesichter erneut verarbeiten",
+    "renameFace": "Gesicht umbenennen",
+    "deleteFace": "Lösche Gesicht"
+  },
+  "train": {
+    "title": "Trainiere",
+    "aria": "Wähle Training",
+    "empty": "Es gibt keine aktuellen Versuche zurGesichtserkennung"
+  },
+  "deleteFaceLibrary": {
+    "title": "Lösche Name",
+    "desc": "Möchtest du die Sammlung {{name}} löschen? Alle zugehörigen Gesichter werden gelöscht."
+  },
+  "readTheDocs": "Lies die Dokumentation",
+  "trainFaceAs": "Trainiere Gesicht als:",
+  "trainFace": "Trainiere Gesicht",
+  "toast": {
+    "success": {
+      "uploadedImage": "Das Bild wurde erfolgreich hochgeladen.",
+      "deletedFace_one": "Erfolgreich {{count}} Gesicht gelöscht.",
+      "deletedFace_other": "Erfolgreich {{count}} Gesichter gelöscht.",
+      "deletedName_one": "{{count}} Gesicht wurde erfolgreich gelöscht.",
+      "deletedName_other": "{{count}} Gesichter wurden erfolgreich gelöscht.",
+      "addFaceLibrary": "{{name}} wurde erfolgreich in die Gesichtsbibliothek aufgenommen!",
+      "trainedFace": "Gesicht erfolgreich trainiert.",
+      "updatedFaceScore": "Gesichtsbewertung erfolgreich aktualisiert.",
+      "renamedFace": "Gesicht erfolgreich in {{name}} umbenannt"
+    },
+    "error": {
+      "deleteFaceFailed": "Das Löschen ist fehlgeschlagen: {{errorMessage}}",
+      "uploadingImageFailed": "Bild kann nicht hochgeladen werden: {{errorMessage}}",
+      "addFaceLibraryFailed": "Der Gesichtsname konnte nicht gesetzt werden: {{errorMessage}}",
+      "trainFailed": "Ausbildung fehlgeschlagen: {{errorMessage}}",
+      "updateFaceScoreFailed": "Aktualisierung der Gesichtsbewertung fehlgeschlagen: {{errorMessage}}",
+      "deleteNameFailed": "Name kann nicht gelöscht werden: {{errorMessage}}",
+      "renameFaceFailed": "Gesicht konnte nicht umbenannt werden: {{errorMessage}}"
+    }
+  },
+  "steps": {
+    "uploadFace": "Lade Bild des Gesichts hoch",
+    "nextSteps": "Nächste Schritte",
+    "faceName": "Gebe Gesichtsname ein",
+    "description": {
+      "uploadFace": "Lade ein Bild von {{name}} hoch, das ihr/sein Gesicht aus einer frontalen Perspektive zeigt. Das Bild muss nicht auf das Gesicht zugeschnitten sein."
+    }
+  },
+  "renameFace": {
+    "title": "Gesicht umbenennen",
+    "desc": "Gib den neuen Namen für {{name}} ein"
+  },
+  "collections": "Sammlungen",
+  "deleteFaceAttempts": {
+    "title": "Lösche Gesichter",
+    "desc_one": "Bist du sicher, dass du {{count}} Gesicht löschen möchtest? Diese Aktion kann nicht rückgängig gemacht werden.",
+    "desc_other": "Bist du sicher, dass du {{count}} Gesichter löschen möchtest? Diese Aktion kann nicht rückgängig gemacht werden."
+  },
+  "nofaces": "Keine Gesichter verfügbar",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/de/views/live.json b/web/public/locales/de/views/live.json
new file mode 100644
index 000000000..318c2b720
--- /dev/null
+++ b/web/public/locales/de/views/live.json
@@ -0,0 +1,158 @@
+{
+  "lowBandwidthMode": "Modus für geringe Bandbreite",
+  "twoWayTalk": {
+    "enable": "Gegensprechfunktion aktivieren",
+    "disable": "Gegensprechfunktion ausschalten"
+  },
+  "cameraAudio": {
+    "enable": "Kamera-Audio aktivieren",
+    "disable": "Kamera-Audio deaktivieren"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "disable": "Bewegen per Klick deaktivieren",
+        "enable": "Bewegen per Klick aktivieren",
+        "label": "Zum Zentrieren der Kamera ins Bild klicken"
+      },
+      "up": {
+        "label": "PTZ-Kamera nach oben bewegen"
+      },
+      "left": {
+        "label": "PTZ-Kamera nach links bewegen"
+      },
+      "down": {
+        "label": "PTZ-Kamera nach unten bewegen"
+      },
+      "right": {
+        "label": "PTZ-Kamera nach rechts bewegen"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "PTZ-Kamera vergrößern"
+      },
+      "out": {
+        "label": "PTZ-Kamera herauszoomen"
+      }
+    },
+    "presets": "PTZ-Kameravoreinstellungen",
+    "frame": {
+      "center": {
+        "label": "Klicken Sie in den Rahmen, um die PTZ-Kamera zu zentrieren"
+      }
+    }
+  },
+  "documentTitle": "Live - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Live - Frigate",
+  "muteCameras": {
+    "disable": "Stumm aller Kameras aufheben",
+    "enable": "Alle Kameras auf stumm"
+  },
+  "recording": {
+    "disable": "Aufzeichnung deaktivieren",
+    "enable": "Aufzeichnung aktivieren"
+  },
+  "snapshots": {
+    "enable": "Snapshots aktivieren",
+    "disable": "Snapshots deaktivieren"
+  },
+  "autotracking": {
+    "disable": "Autotracking deaktivieren",
+    "enable": "Autotracking aktivieren"
+  },
+  "streamStats": {
+    "enable": "Stream Statistiken anzeigen",
+    "disable": "Stream-Statistiken ausblenden"
+  },
+  "manualRecording": {
+    "title": "On-Demand Aufzeichnung",
+    "showStats": {
+      "label": "Statistiken anzeigen",
+      "desc": "Aktivieren Sie diese Option, um Stream-Statistiken als Overlay über dem Kamera-Feed anzuzeigen."
+    },
+    "started": "Manuelle On-Demand Aufzeichnung gestartet.",
+    "failedToStart": "Manuelle On-Demand Aufzeichnung konnte nicht gestartet werden.",
+    "recordDisabledTips": "Da die Aufzeichnung in der Konfiguration für diese Kamera deaktiviert oder eingeschränkt ist, wird nur ein Schnappschuss gespeichert.",
+    "end": "On-Demand Aufzeichnung beenden",
+    "ended": "Manuelle On-Demand Aufzeichnung beendet.",
+    "playInBackground": {
+      "desc": "Aktivieren Sie diese Option, um das Streaming fortzusetzen, wenn der Player ausgeblendet ist.",
+      "label": "Im Hintergrund abspielen"
+    },
+    "tips": "Starten Sie ein manuelles Ereignis basierend auf den Aufzeichnung Aufbewahrungseinstellungen dieser Kamera.",
+    "debugView": "Debug-Ansicht",
+    "start": "On-Demand Aufzeichnung starten",
+    "failedToEnd": "Die manuelle On-Demand Aufzeichnung konnte nicht beendet werden."
+  },
+  "streamingSettings": "Streaming Einstellungen",
+  "notifications": "Benachrichtigungen",
+  "stream": {
+    "audio": {
+      "available": "Audio ist für diesen Stream verfügbar",
+      "tips": {
+        "title": "Audio muss von deiner Kamera ausgegeben und für diesen Stream in go2rtc konfiguriert werden.",
+        "documentation": "Dokumentation lesen "
+      },
+      "unavailable": "Für diesen Stream ist kein Audio verfügbar"
+    },
+    "twoWayTalk": {
+      "tips": "Ihr Gerät muss die Funktion unterstützen und WebRTC muss für die bidirektionale Kommunikation konfiguriert sein.",
+      "tips.documentation": "Dokumentation lesen ",
+      "available": "Für diesen Stream ist eine Zwei-Wege-Sprechfunktion verfügbar",
+      "unavailable": "Für diesen Stream ist keine Zwei-Wege-Kommunikation möglich."
+    },
+    "lowBandwidth": {
+      "tips": "Die Live-Ansicht befindet sich aufgrund von Puffer- oder Stream-Fehlern im Modus mit geringer Bandbreite.",
+      "resetStream": "Stream zurücksetzen"
+    },
+    "title": "Stream",
+    "playInBackground": {
+      "tips": "Aktivieren Sie diese Option, um das Streaming fortzusetzen, wenn der Player ausgeblendet ist.",
+      "label": "Im Hintergrund abspielen"
+    }
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "motion": "Bewegung",
+      "active_objects": "Aktive Objekte",
+      "all": "Alle"
+    },
+    "notAllTips": "Dein Konfiguration zur Aufzeichnungsaufbewahrung von {{source}} ist eingestellt auf<code> -Modus:{{effectiveRetainMode}}</code> , daher werden in dieser On-Demand Aufzeichnung nur Segmente gespeichert mit{{effectiveRetainModeName}} ."
+  },
+  "editLayout": {
+    "group": {
+      "label": "Kameragruppe bearbeiten"
+    },
+    "exitEdit": "Bearbeitung beenden",
+    "label": "Layout bearbeiten"
+  },
+  "camera": {
+    "enable": "Kamera aktivieren",
+    "disable": "Kamera deaktivieren"
+  },
+  "audioDetect": {
+    "enable": "Audioerkennung aktivieren",
+    "disable": "Audioerkennung deaktivieren"
+  },
+  "detect": {
+    "enable": "Erkennung aktivieren",
+    "disable": "Erkennung deaktivieren"
+  },
+  "cameraSettings": {
+    "objectDetection": "Objekterkennung",
+    "recording": "Aufnahme",
+    "snapshots": "Schnappschüsse",
+    "cameraEnabled": "Kamera aktiviert",
+    "autotracking": "Autotracking",
+    "audioDetection": "Audioerkennung",
+    "title": "{{camera}} Einstellungen"
+  },
+  "history": {
+    "label": "Historisches Filmmaterial zeigen"
+  },
+  "audio": "Audio",
+  "suspend": {
+    "forTime": "Aussetzen für: "
+  }
+}
diff --git a/web/public/locales/de/views/recording.json b/web/public/locales/de/views/recording.json
new file mode 100644
index 000000000..354cd4055
--- /dev/null
+++ b/web/public/locales/de/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Export",
+  "calendar": "Kalender",
+  "filters": "Filter",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "Endzeit muss nach Startzeit liegen",
+      "noValidTimeSelected": "Gewählter Zeitraum ist ungültig"
+    }
+  },
+  "filter": "Filter"
+}
diff --git a/web/public/locales/de/views/search.json b/web/public/locales/de/views/search.json
new file mode 100644
index 000000000..c3800ab28
--- /dev/null
+++ b/web/public/locales/de/views/search.json
@@ -0,0 +1,74 @@
+{
+  "savedSearches": "Gespeicherte Suchen",
+  "searchFor": "Suche nach {{inputValue}}",
+  "button": {
+    "save": "Suche speichern",
+    "filterActive": "Filter aktiv",
+    "delete": "Gespeicherte Suche löschen",
+    "filterInformation": "Information filtern",
+    "clear": "Suche löschen"
+  },
+  "trackedObjectId": "ID verfolgtes Objekt",
+  "filter": {
+    "label": {
+      "cameras": "Kameras",
+      "zones": "Zonen",
+      "search_type": "Suchtyp",
+      "before": "Vor",
+      "after": "Nach",
+      "min_score": "Minimalwert",
+      "max_score": "Maximalwert",
+      "recognized_license_plate": "Erkanntes Autokennzeichen",
+      "has_clip": "Clip vorhanden",
+      "has_snapshot": "Schnappschuss vorhanden",
+      "min_speed": "Minimalgeschwindigkeit",
+      "max_speed": "Maximalgeschwindigkeit",
+      "time_range": "Zeitraum",
+      "labels": "Labels",
+      "sub_labels": "Unterlabels"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Das \"Vor\" Datum muss später als das \"Nach\" Datum sein.",
+        "minScoreMustBeLessOrEqualMaxScore": "Der \"Minimalwert\" muss kleiner oder gleich dem \"Maximalwert\" sein.",
+        "afterDatebeEarlierBefore": "Das \"Nach\" Datum muss früher als das \"Vor\" Datum sein.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Der \"Maximalwert\" muss größer oder gleich dem \"Minimalwert\" sein.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Der \"Minimalgeschwindigkeit\" muss kleiner oder gleich der \"Maximalgeschwindigkeit\" sein.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Der \"Maximalgeschwindigkeit\" muss größer oder gleich der \"Maximalgeschwindigkeit\" sein."
+      }
+    },
+    "header": {
+      "currentFilterType": "Filterwerte",
+      "noFilters": "Filter",
+      "activeFilters": "Aktive Filter"
+    },
+    "tips": {
+      "desc": {
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Gib einen Filternamen gefolgt von einem Doppelpunkt ein (z.B. \"Kameras:\").</li><li>Wähle einen Wert aus den Vorschlägen aus oder tippe einen individuellen ein.</li><li> Verwende mehrere Filter, indem Du sie nacheinander mit Leerzeichen getrennt eingibst.</li><li>Datumfilter (Vor: und Nach:) im Format <em>{{DateFormat}}</em>.</li><li>Zeitraumfilter im Format <em>{{exampleTime}}</em>.</li><li>Lösche Filter durch Drücken des \"x\" daneben.</li></ul>",
+        "text": "Mit Filtern kannst Du Suchergebnisse eingrenzen. Hier erfährst Du, wie diese im Eingabefeld verwendet werden können:",
+        "example": "Beispiel: <code className=\"text-primary\">Kameras:Tor Label:Person Vor:01012024 Zeitraum:15:00-16:00</code>",
+        "step3": "Verwende mehrere Filter, indem du sie nacheinander mit einem Leerzeichen dazwischen hinzufügst.",
+        "step2": "Wähle einen Wert aus den Vorschlägen aus oder gib einen eigenen ein.",
+        "step1": "Gib einen Filter-Schlüssel ein, gefolgt von einem Doppelpunkt (z.B. „kameras:“).",
+        "exampleLabel": "Beispiel:",
+        "step6": "Entferne Filter, indem du auf das „x“ daneben klickst.",
+        "step4": "Datumsfilter (bevor: und nach:) verwenden das Format {{DateFormat}}.",
+        "step5": "Der Zeitbereichsfilter verwendet das Format {{exampleTime}}."
+      },
+      "title": "Wie man Textfilter verwendet"
+    },
+    "searchType": {
+      "thumbnail": "Miniaturansicht",
+      "description": "Beschreibung"
+    }
+  },
+  "similaritySearch": {
+    "title": "Ähnlichkeitssuche",
+    "clear": "Ähnlichkeitssuche löschen",
+    "active": "Aktive Ähnlichkeitssuche"
+  },
+  "search": "Suche",
+  "placeholder": {
+    "search": "Suchen…"
+  }
+}
diff --git a/web/public/locales/de/views/settings.json b/web/public/locales/de/views/settings.json
new file mode 100644
index 000000000..29c5d6ece
--- /dev/null
+++ b/web/public/locales/de/views/settings.json
@@ -0,0 +1,683 @@
+{
+  "documentTitle": {
+    "default": "Einstellungen - Frigate",
+    "authentication": "Authentifizierungseinstellungen – Frigate",
+    "camera": "Kameraeinstellungen - Frigate",
+    "masksAndZones": "Masken- und Zonen-Editor – Frigate",
+    "object": "Debug - Frigate",
+    "general": "Allgemeine Einstellungen – Frigate",
+    "frigatePlus": "Frigate+ Einstellungen – Frigate",
+    "classification": "Klassifizierungseinstellungen – Frigate",
+    "motionTuner": "Bewegungstuner – Frigate",
+    "notifications": "Benachrichtigungs-Einstellungen",
+    "enrichments": "Erweiterte Statistiken - Frigate"
+  },
+  "menu": {
+    "ui": "Benutzeroberfläche",
+    "cameras": "Kameraeinstellungen",
+    "classification": "Klassifizierung",
+    "masksAndZones": "Maskierungen / Zonen",
+    "motionTuner": "Bewegungstuner",
+    "debug": "Debug",
+    "frigateplus": "Frigate+",
+    "users": "Benutzer",
+    "notifications": "Benachrichtigungen",
+    "enrichments": "Verbesserungen"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Du hast nicht gespeicherte Änderungen.",
+      "desc": "Möchtest Du deine Änderungen speichern, bevor du fortfährst?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Keine Kamera"
+  },
+  "general": {
+    "title": "Allgemeine Einstellungen",
+    "liveDashboard": {
+      "title": "Live Übersicht",
+      "playAlertVideos": {
+        "label": "Spiele Videos mit Alarmierung",
+        "desc": "Standardmäßig werden die letzten Warnmeldungen auf dem Live-Dashboard als kurze Videoschleifen abgespielt. Deaktiviere diese Option, um nur ein statisches Bild der letzten Warnungen auf diesem Gerät/Browser anzuzeigen."
+      },
+      "automaticLiveView": {
+        "desc": "Wechsle automatisch zur Live Ansicht der Kamera, wenn einen Aktivität erkannt wurde. Wenn du diese Option deaktivierst, werden die statischen Kamerabilder auf der Liveübersicht nur einmal pro Minute aktualisiert.",
+        "label": "Automatische Live Ansicht"
+      }
+    },
+    "storedLayouts": {
+      "title": "Gespeicherte Ansichten",
+      "clearAll": "Lösche alle Ansichten",
+      "desc": "Das Layout der Kameras in einer Kameragruppe kann verschoben/geändert werden. Die Positionen werden im lokalen Cache des Browsers gespeichert."
+    },
+    "cameraGroupStreaming": {
+      "title": "Einstellungen für Kamera-Gruppen-Streaming",
+      "clearAll": "Alle Streamingeinstellungen löschen",
+      "desc": "Die Streaming-Einstellungen für jede Kameragruppe werden im lokalen Cache des Browsers gespeichert."
+    },
+    "recordingsViewer": {
+      "title": "Aufzeichnungsbetrachter",
+      "defaultPlaybackRate": {
+        "desc": "Standard-Wiedergabegeschwindigkeit für die Wiedergabe von Aufnahmen.",
+        "label": "Standard-Wiedergabegeschwindigkeit"
+      }
+    },
+    "calendar": {
+      "title": "Kalender",
+      "firstWeekday": {
+        "label": "Erster Wochentag",
+        "desc": "Der Tag, an dem die Wochen des Review Kalenders beginnen.",
+        "sunday": "Sonntag",
+        "monday": "Montag"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Gespeichertes Layout für {{cameraName}} gelöscht",
+        "clearStreamingSettings": "Streaming Einstellungen aller Kameragruppen bereinigt."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Das gespeicherte Layout konnte nicht gelöscht werden: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Die Streaming-Einstellungen konnten nicht gelöscht werden: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "title": "Klassifizierungseinstellungen",
+    "semanticSearch": {
+      "title": "Semantische Suche",
+      "desc": "Die semantische Suche in Frigate ermöglicht es, verfolgte Objekte innerhalb der Überprüfungselemente zu finden, indem entweder das Bild selbst, eine benutzerdefinierte Textbeschreibung oder eine automatisch generierte Beschreibung verwendet wird.",
+      "readTheDocumentation": "Lesen Sie die Dokumentation",
+      "reindexNow": {
+        "alreadyInProgress": "Neu-Indizierung läufts bereits.",
+        "label": "Neuindizieren",
+        "confirmTitle": "Bestätige Neu-Indizierung",
+        "confirmButton": "Neu-Indizieren",
+        "success": "Neuindizierung erfolgreich gestartet.",
+        "error": "Starten der Neuindizierung fehlgeschlagen: {{errorMessage}}",
+        "desc": "Durch die Neuindizierung werden die Einbettungen für alle verfolgten Objekte neu generiert. Dieser Prozess läuft im Hintergrund und kann Ihre CPU überlasten. Je nach Anzahl der verfolgten Objekte kann er einige Zeit in Anspruch nehmen.",
+        "confirmDesc": "Möchten Sie alle verfolgten Objekteinbettungen wirklich neu indizieren? Dieser Vorgang läuft im Hintergrund, kann aber Ihre CPU überlasten und einige Zeit in Anspruch nehmen. Sie können den Fortschritt auf der Explore-Seite verfolgen."
+      },
+      "modelSize": {
+        "large": {
+          "title": "groß",
+          "desc": "Bei Verwendung von <em> large </em> wird das vollständige Jina-Modell verwendet und ggf. automatisch auf der GPU ausgeführt."
+        },
+        "label": "Model Größe",
+        "small": {
+          "title": "klein",
+          "desc": "Durch die Verwendung von <em> small </em> wird eine quantisierte Version des Modells eingesetzt, die weniger RAM verwendet und schneller auf der CPU läuft, wobei der Unterschied in der Einbettungsqualität sehr gering ist."
+        },
+        "desc": "Die Größe des Modells, das für semantische Sucheinbettungen verwendet wird."
+      }
+    },
+    "birdClassification": {
+      "desc": "Die Vogelklassifizierung identifiziert bekannte Vögel mithilfe eines quantisierten Tensorflow-Modells. Wenn ein bekannter Vogel erkannt wird, wird sein allgemeiner Name als sub_label hinzugefügt. Diese Informationen sind in der Benutzeroberfläche, in Filtern und in Benachrichtigungen enthalten.",
+      "title": "Vogel-Klassifizierung"
+    },
+    "licensePlateRecognition": {
+      "readTheDocumentation": "Lies die Dokumentation",
+      "title": "Nummernschilderkennung",
+      "desc": "Frigate kann Nummernschilder an Fahrzeugen erkennen und die erkannten Zeichen automatisch dem Feld „recognized_license_plate“ oder einem bekannten Namen als Unterbezeichnung für Objekte vom Typ „Auto“ hinzufügen. Ein häufiger Anwendungsfall ist das Lesen der Nummernschilder von Autos, die in eine Einfahrt einfahren oder auf einer Straße vorbeifahren."
+    },
+    "faceRecognition": {
+      "readTheDocumentation": "Lies die Dokumentation",
+      "modelSize": {
+        "small": {
+          "title": "klein",
+          "desc": "ei der Verwendung von <em> small </em> wird ein FaceNet-Gesichtseinbettungsmodell eingesetzt, das auf den meisten CPUs effizient läuft."
+        },
+        "label": "Model Größe",
+        "large": {
+          "title": "groß",
+          "desc": "Bei der Verwendung von <em> large </em> wird ein ArcFace-Gesichtseinbettungsmodell verwendet und ggf. automatisch auf der GPU ausgeführt."
+        },
+        "desc": "Die Größe des für die Gesichtserkennung verwendeten Modells."
+      },
+      "title": "Gesichtserkennung",
+      "desc": "Mithilfe der Gesichtserkennung können Personen Namen zugewiesen werden. Sobald das Gesicht erkannt wird, weist Frigate den Namen der Person als Unterbezeichnung zu. Diese Informationen werden in die Benutzeroberfläche, Filter und Benachrichtigungen integriert."
+    },
+    "toast": {
+      "error": "Sichern der Konfigurationsänderungen fehlgeschlagen: {{errorMessage}}",
+      "success": "Die Klassifizierungseinstellungen wurden gespeichert. Starten Sie Frigate neu, um die Änderungen zu übernehmen."
+    },
+    "restart_required": "Neustart erforderlich (Klassifizierungseinstellungen geändert)",
+    "unsavedChanges": "Nicht gespeicherte Änderungen der Klassifizierungseinstellungen"
+  },
+  "camera": {
+    "reviewClassification": {
+      "toast": {
+        "success": "Die Konfiguration der Klassifizierung wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+      },
+      "title": "Überprüfung der Klassifikation",
+      "selectAlertsZones": "Zonen für Warnungen auswählen",
+      "limitDetections": "Begrenzung der Erkennungen auf bestimmte Zonen",
+      "readTheDocumentation": "Lies die Dokumentation",
+      "noDefinedZones": "Für diese Kamera sind keine Zonen definiert.",
+      "selectDetectionsZones": "Zonen für Erkennungen auswählen",
+      "objectAlertsTips": "Alle {{alertsLabels}} -Objekte auf {{cameraName}} werden als Warnungen angezeigt.",
+      "desc": "Frigate kategorisiert Überprüfungselemente als Warnungen und Erkennungen. Standardmäßig werden alle Objekte vom Typ <em> Person </em> und <em> Auto </em> als Warnungen betrachtet. Sie können die Kategorisierung Ihrer Überprüfungselemente verfeinern, indem Sie die erforderlichen Zonen dafür konfigurieren.",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}} Objekte, die in {{zone}} auf {{cameraName}} erkannt werden , werden als Warnungen angezeigt.",
+      "objectDetectionsTips": "Alle {{detectionsLabels}} Objekte, die auf {{cameraName}} nicht kategorisiert sind, werden unabhängig von der Zone, in der sie sich befinden, als Erkennungen angezeigt.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}} Objekte, die in {{zone}} auf {{cameraName}} nicht kategorisiert sind, werden als Erkennungen angezeigt.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}} Objekte, die auf {{cameraName}} nicht kategorisiert sind, werden unabhängig von der Zone, in der sie sich befinden, als Erkennungen angezeigt.",
+        "notSelectDetections": "Alle {{detectionsLabels}} Objekte, die in {{zone}} auf {{cameraName}} erkannt wurden und nicht als Warnungen kategorisiert sind, werden unabhängig von der Zone, in der sie sich befinden, als Erkennungen angezeigt."
+      },
+      "unsavedChanges": "Nicht gespeicherte Überprüfung der Klassifizierungseinstellungen für {{camera}}"
+    },
+    "streams": {
+      "title": "Streams",
+      "desc": "Deaktiviere eine Kamera vorübergehend, bis Frigate neu gestartet wird. Das Deaktivieren einer Kamera stoppt die Verarbeitung der Streams dieser Kamera durch Frigate vollständig. Erkennung, Aufzeichnung und Debugging sind dann nicht mehr möglich.<br /> <em>Hinweis: Go2RTC-Restreams werden dadurch nicht deaktiviert.</em>"
+    },
+    "review": {
+      "title": "Überprüfung",
+      "alerts": "Warnungen ",
+      "detections": "Erkennungen ",
+      "desc": "Aktiviere/deaktiviere Benachrichtigungen und Erkennungen für diese Kamera vorübergehend, bis Frigate neu gestartet wird. Wenn deaktiviert, werden keine neuen Überprüfungseinträge erstellt. "
+    },
+    "title": "Kamera-Einstellungen"
+  },
+  "masksAndZones": {
+    "form": {
+      "zoneName": {
+        "error": {
+          "hasIllegalCharacter": "Zonenname enthält unzulässige Zeichen.",
+          "alreadyExists": "Für diese Kamera existiert bereits eine Zone mit diesem Namen.",
+          "mustBeAtLeastTwoCharacters": "Der Zonenname muss aus mindestens 2 Zeichen bestehen.",
+          "mustNotBeSameWithCamera": "Der Zonenname darf nicht mit dem Kameranamen identisch sein.",
+          "mustNotContainPeriod": "Der Zonenname darf keine Punkte enthalten."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Die Verweildauer muss größer oder gleich 0 sein."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Der Abstand muss größer als oder gleich 0.1 sein.",
+          "mustBeFilled": "Alle Entfernungsfelder müssen ausgefüllt werden, um die Geschwindigkeitsschätzung zu verwenden."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Die Trägheit muss über 0 liegen."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Letzten Punkt entfernen",
+        "reset": {
+          "label": "Alle Punkte löschen"
+        },
+        "snapPoints": {
+          "true": "Fangpunkte",
+          "false": "Punkte nicht einrasten"
+        },
+        "delete": {
+          "title": "Löschen bestätigen",
+          "success": "{{name}} wurde gelöscht.",
+          "desc": "Bist du sicher, dass du die {{type}} <em>{{name}}</em> löschen möchtest?"
+        },
+        "error": {
+          "mustBeFinished": "Polygonzeichnung muss vor dem Speichern abgeschlossen sein."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Der Geschwindigkeitsschwellwert muss größer oder gleich 0,1 sein."
+        }
+      }
+    },
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "Die Koordinaten konnten nicht in die Zwischenablage kopiert werden."
+      },
+      "success": {
+        "copyCoordinates": "Koordinaten von {{polyName}} wurden in die Zwischenablage kopiert."
+      }
+    },
+    "filter": {
+      "all": "Alle Maskierungen und Zonen"
+    },
+    "zones": {
+      "edit": "Zone bearbeiten",
+      "toast": {
+        "success": "Die Zone ({{zoneName}}) wurde gespeichert. Starten Sie Frigate neu, um die Änderungen zu übernehmen."
+      },
+      "desc": {
+        "documentation": "Dokumentation",
+        "title": "Zonen ermöglichen es dir, einen bestimmten Bereich des Bildes festzulegen, damit du bestimmen kannst, ob sich ein Objekt in einem bestimmten Bereich befindet oder nicht."
+      },
+      "allObjects": "Alle Objekte",
+      "speedEstimation": {
+        "title": "Geschwindigkeitsschätzung",
+        "desc": "Aktiviere die Geschwindigkeitsabschätzung für Objekte in diesem Bereich. Der Bereich muss genau 4 Punkte haben.",
+        "docs": "Bitte lies die Dokumentation",
+        "lineADistance": "Spur A Distanz ({{unit}})",
+        "lineDDistance": "Spur D Distanz ({{unit}})",
+        "lineBDistance": "Spur B Distanz ({{unit}})",
+        "lineCDistance": "Spur C Distanz ({{unit}})"
+      },
+      "label": "Zonen",
+      "documentTitle": "Zone bearbeiten - Frigate",
+      "add": "Zone hinzufügen",
+      "name": {
+        "title": "Name",
+        "inputPlaceHolder": "Geben Sie einen Namen ein…",
+        "tips": "Der Name muss aus mindestens 2 Zeichen bestehen und sollte nicht den Namen einer Kamera oder anderen Zone entsprechen."
+      },
+      "objects": {
+        "title": "Objekte",
+        "desc": "Liste der Objekte, die zu diesem Bereich gehören."
+      },
+      "speedThreshold": {
+        "title": "Geschwindigkeitsschwelle ({{unit}})",
+        "desc": "Legt eine Mindestgeschwindigkeit für Objekte fest, damit sie als \"in diesem Bereich\" betrachtet werden können.",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Zonen mit einer Verweilzeit größer als 0 sollten nicht für die Geschwindigkeitsmessung verwendet werden.",
+            "pointLengthError": "Die Geschwindigkeitsabschätzung wurde für diesen Bereich deaktiviert. Bereiche mit Geschwindigkeitsabschätzung müssen genau 4 Punkte haben."
+          }
+        }
+      },
+      "point_one": "{{count}} Punkt",
+      "point_other": "{{count}} Punkte",
+      "clickDrawPolygon": "Klicke, um ein Polygon auf dem Bild zu zeichnen.",
+      "inertia": {
+        "desc": "Legt fest, wie viele Bilder ein Objekt in einem Bereich sein muss, bevor es \"als in dem Bereich befindlich\" betrachtet wird. <em>Standard: 3</em>",
+        "title": "Trägheit"
+      },
+      "loiteringTime": {
+        "desc": "Legt eine Mindestzeit in Sekunden fest, die das Objekt in dem Bereich sein muss, damit es aktiviert wird. <em>Standard: 0</em>",
+        "title": "Verweilzeit"
+      }
+    },
+    "motionMasks": {
+      "desc": {
+        "documentation": "Dokumentation",
+        "title": "Bewegungsmasken werden verwendet, um zu verhindern, dass unerwünschte Bewegungsarten eine Erkennung auslösen. Zu starkes Maskieren erschwert das Nachverfolgen von Objekten."
+      },
+      "documentTitle": "Bewegungsmaske bearbeiten – Frigate",
+      "context": {
+        "documentation": "Lies die Dokumentation",
+        "title": "Bewegungsmasken werden verwendet, um unerwünschte Bewegungen (z. B. Baumäste, Kamerazeitstempel) daran zu hindern, eine Erkennung auszulösen. Bewegungsmasken sollten <em>sehr sparsam</em> eingesetzt werden – zu starkes Maskieren erschwert das Nachverfolgen von Objekten."
+      },
+      "clickDrawPolygon": "Klicke, um ein Polygon auf dem Bild zu zeichnen.",
+      "toast": {
+        "success": {
+          "noName": "Bewegungsmaske wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen.",
+          "title": "{{polygonName}} wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+        }
+      },
+      "add": "Neue Bewegungsmaske",
+      "edit": "Bewegungsmaske bearbeiten",
+      "polygonAreaTooLarge": {
+        "title": "Die Bewegungsmaske deckt {{polygonArea}} % des Kamerabildes ab. Große Bewegungsmasken werden nicht empfohlen.",
+        "tips": "Bewegungsmasken verhindern nicht, dass Objekte erkannt werden. Du solltest stattdessen eine erforderliche Zone verwenden.",
+        "documentation": "Lies die Dokumentation"
+      },
+      "point_one": "{{count}} Punkt",
+      "point_other": "{{count}} Punkte",
+      "label": "Bewegungsmaske"
+    },
+    "restart_required": "Neustart erforderlich (Maske/Zone hat sich geändert)",
+    "objectMasks": {
+      "label": "Objektmasken",
+      "documentTitle": "Objektmaske bearbeiten – Frigate",
+      "toast": {
+        "success": {
+          "noName": "Objektmaske wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen.",
+          "title": "{{polygonName}} wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+        }
+      },
+      "desc": {
+        "title": "Objekt-Filtermasken werden verwendet, um Fehlalarme für einen bestimmten Objekttyp basierend auf dem Standort herauszufiltern.",
+        "documentation": "Dokumentation"
+      },
+      "add": "Objektmaske hinzufügen",
+      "clickDrawPolygon": "Klicken Sie, um ein Polygon auf dem Bild zu zeichnen.",
+      "edit": "Objektmaske bearbeiten",
+      "context": "Objekt-Filtermasken werden verwendet, um Fehlalarme für einen bestimmten Objekttyp anhand des Standorts herauszufiltern.",
+      "point_one": "{{count}} Punkt",
+      "point_other": "{{count}} Punkte",
+      "objects": {
+        "title": "Objekte",
+        "desc": "Der Objekttyp, für den diese Objektmaske gilt.",
+        "allObjectTypes": "Alle Objekttypen"
+      }
+    },
+    "motionMaskLabel": "Bewegungsmaske {{number}}",
+    "objectMaskLabel": "Objektmaske {{number}} ({{label}})"
+  },
+  "debug": {
+    "objectShapeFilterDrawing": {
+      "score": "Bewertung",
+      "document": "Lies die Dokumentation. ",
+      "tips": "Aktiviere diese Option, um ein Rechteck auf dem Kamerabild zu zeichnen, das dessen Bereich und Seitenverhältnis anzeigt. Diese Werte können anschließend verwendet werden, um Parameter für den Objektform-Filter in deiner Konfiguration festzulegen.",
+      "area": "Bereich",
+      "ratio": "Verhältnis",
+      "title": "Objektform-Filter-Zeichnung",
+      "desc": "Zeichne ein Rechteck auf das Bild, um Flächen- und Verhältnisdetails anzuzeigen"
+    },
+    "motion": {
+      "tips": "<p><strong>Bewegungsrahmen</strong></p><br><p>Rote Rahmen werden über die Bereiche des Bildes gelegt, in denen aktuell Bewegung erkannt wird.</p>",
+      "title": "Bewegungsrahmen",
+      "desc": "Rahmen um Bereiche anzeigen, in denen Bewegung erkannt wird"
+    },
+    "boundingBoxes": {
+      "title": "Begrenzungsrahmen",
+      "desc": "Begrenzungsrahmen um verfolgte Objekte anzeigen",
+      "colors": {
+        "info": "<li>Beim Start werden jedem Objektlabel unterschiedliche Farben zugewiesen.</li><li>Eine dünne dunkelblaue Linie zeigt an, dass das Objekt zum aktuellen Zeitpunkt nicht erkannt wird.</li><li>Eine dünne graue Linie zeigt an, dass das Objekt als stationär erkannt wurde.</li><li>Eine dicke Linie zeigt an, dass das Objekt aktuell vom Autotracking verfolgt wird (wenn aktiviert).</li>",
+        "label": "Farben der Objekt-Begrenzungsrahmen"
+      }
+    },
+    "zones": {
+      "title": "Zonen",
+      "desc": "Umrisse aller definierten Zonen anzeigen"
+    },
+    "timestamp": {
+      "desc": "Einen Zeitstempel auf dem Bild einblenden",
+      "title": "Zeitstempel"
+    },
+    "mask": {
+      "desc": "Bewegungsmasken-Polygone anzeigen",
+      "title": "Bewegungsmasken"
+    },
+    "detectorDesc": "Frigate verwendet deine Detektoren ({{detectors}}), um Objekte im Videostream deiner Kamera zu erkennen.",
+    "debugging": "Fehlersuche",
+    "objectList": "Objektliste",
+    "noObjects": "Keine Objekte",
+    "regions": {
+      "title": "Regionen",
+      "tips": "<p><strong>Regionsrahmen</strong></p><br><p>Leuchtend grüne Rahmen werden über die Interessensbereiche im Bild gelegt, die an den Objektdetektor übermittelt werden.</p>",
+      "desc": "Einen Rahmen für den an den Objektdetektor übermittelten Interessensbereich anzeigen"
+    },
+    "title": "Debug",
+    "desc": "Die Debug-Ansicht zeigt eine Echtzeitansicht der verfolgten Objekte und ihrer Statistiken. Die Objektliste zeigt eine zeitverzögerte Zusammenfassung der erkannten Objekte."
+  },
+  "motionDetectionTuner": {
+    "Threshold": {
+      "title": "Schwellenwert",
+      "desc": "Der Schwellenwert legt fest, wie stark sich die Helligkeit eines Pixels ändern muss, damit dies als Bewegung erkannt wird. <em>Standard: 30</em>"
+    },
+    "improveContrast": {
+      "title": "Kontrast verbessern",
+      "desc": "Den Kontrast für dunklere Szenen verbessern. <em>Standard: EIN</em>"
+    },
+    "toast": {
+      "success": "Bewegungseinstellungen wurden gespeichert."
+    },
+    "desc": {
+      "documentation": "Lies die Anleitung zur Bewegungsoptimierung",
+      "title": "Frigate verwendet die Bewegungserkennung als erste Überprüfung, um festzustellen, ob im Bildausschnitt etwas passiert, das eine Objekterkennung rechtfertigt."
+    },
+    "contourArea": {
+      "title": "Konturfläche",
+      "desc": "Der Wert für die Konturfläche wird verwendet, um zu bestimmen, welche Gruppen von veränderten Pixeln als Bewegung gelten. <em>Standard: 10</em>"
+    },
+    "title": "Bewegungserkennungs-Optimierer",
+    "unsavedChanges": "Nicht gespeicherte Änderungen am Bewegungstuner ({{camera}})"
+  },
+  "users": {
+    "addUser": "Benutzer hinzufügen",
+    "updatePassword": "Passwort aktualisieren",
+    "toast": {
+      "success": {
+        "deleteUser": "Benutzer {{user}} wurde erfolgreich gelöscht",
+        "createUser": "Benutzer {{user}} wurde erfolgreich erstellt",
+        "updatePassword": "Passwort erfolgreich aktualisiert.",
+        "roleUpdated": "Rolle für {{user}} aktualisiert"
+      },
+      "error": {
+        "setPasswordFailed": "Speichern des Passworts fehlgeschlagen: {{errorMessage}}",
+        "createUserFailed": "Benutzer konnte nicht erstellt werden: {{errorMessage}}",
+        "deleteUserFailed": "Benutzer konnte nicht gelöscht werden: {{errorMessage}}",
+        "roleUpdateFailed": "Aktualisierung der Rolle fehlgeschlagen: {{errorMessage}}"
+      }
+    },
+    "title": "Benutzer",
+    "management": {
+      "title": "Benutzerverwaltung",
+      "desc": "Verwalte die Benutzerkonten dieser Frigate-Instanz."
+    },
+    "table": {
+      "changeRole": "Benutzerrolle ändern",
+      "deleteUser": "Benutzer löschen",
+      "noUsers": "Keine Benutzer gefunden.",
+      "password": "Passwort",
+      "username": "Benutzername",
+      "actions": "Aktionen",
+      "role": "Rolle"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Benutzername",
+          "desc": "Nur Buchstaben, Zahlen, Punkte und Unterstriche sind erlaubt.",
+          "placeholder": "Benutzernamen eingeben"
+        },
+        "password": {
+          "notMatch": "Passwörter stimmen nicht überein",
+          "strength": {
+            "weak": "Schwach",
+            "title": "Passwortstärke: ",
+            "medium": "Mittel",
+            "strong": "Stark",
+            "veryStrong": "Sehr stark"
+          },
+          "confirm": {
+            "placeholder": "Bestätige Passwort",
+            "title": "Bestätige Passwort"
+          },
+          "match": "Passwörter stimmen überein",
+          "title": "Passwort",
+          "placeholder": "Passwort eingeben"
+        },
+        "newPassword": {
+          "title": "Neues Passwort",
+          "placeholder": "Neues Passwort eingeben",
+          "confirm": {
+            "placeholder": "Neues Passwort erneut eingeben"
+          }
+        },
+        "usernameIsRequired": "Benutzername ist erforderlich",
+        "passwordIsRequired": "Passwort benötigt"
+      },
+      "changeRole": {
+        "desc": "Berechtigungen für <strong>{{username}}</strong> aktualisieren",
+        "roleInfo": {
+          "intro": "Wähle die entsprechende Rolle für diesen Benutzer:",
+          "admin": "Admin",
+          "adminDesc": "Voller Zugang zu allen Funktionen.",
+          "viewer": "Betrachter",
+          "viewerDesc": "Nur auf Live-Dashboards, Überprüfung, Erkundung und Exporte beschränkt."
+        },
+        "title": "Benutzerrolle ändern",
+        "select": "Wähle eine Rolle"
+      },
+      "deleteUser": {
+        "desc": "Diese Aktion kann nicht rückgängig gemacht werden. Dadurch wird das Benutzerkonto dauerhaft gelöscht und alle zugehörigen Daten werden entfernt.",
+        "warn": "Bist du sicher, dass du <strong>{{username}}</strong> löschen willst?",
+        "title": "Benutzer löschen"
+      },
+      "createUser": {
+        "title": "Neuen Benutzer anlegen",
+        "desc": "Füge ein neues Benutzerkonto hinzu und lege eine Rolle für den Zugriff auf Bereiche der Frigate-Benutzeroberfläche fest.",
+        "usernameOnlyInclude": "Der Benutzername darf nur Buchstaben, Zahlen, . oder _ enthalten",
+        "confirmPassword": "Bitte bestätige dein Passwort"
+      },
+      "passwordSetting": {
+        "updatePassword": "Passwort für {{username}} aktualisieren",
+        "setPassword": "Passwort festlegen",
+        "desc": "Erstelle ein sicheres Passwort, um dieses Konto zu schützen.",
+        "cannotBeEmpty": "Das Passwort darf nicht leer sein",
+        "doNotMatch": "Die Passwörter sind nicht identisch"
+      }
+    }
+  },
+  "notification": {
+    "email": {
+      "desc": "Eine gültige E-Mail-Adresse ist erforderlich und wird verwendet, um Sie zu benachrichtigen, falls es Probleme mit dem Push-Dienst gibt.",
+      "placeholder": "z. B. example@email.com",
+      "title": "Email"
+    },
+    "notificationSettings": {
+      "title": "Einstellungen für Benachrichtigungen",
+      "desc": "Frigate kann von Haus aus Push-Benachrichtigungen an ein Gerät senden, wenn es im Browser läuft oder als PWA installiert ist.",
+      "documentation": "Lese die Dokumentation"
+    },
+    "title": "Benachrichtigungen",
+    "notificationUnavailable": {
+      "title": "Benachrichtigungen nicht verfügbar",
+      "desc": "Web Push Benachrichtigungen erfordern einen sicheren Kontext (<code>https://…</code>). Das ist eine Vorgabe des Browsers. Greife auf Frigate gesichert zu um Benachrichtigungen zu nutzen.",
+      "documentation": "Dokumentation lesen"
+    },
+    "cameras": {
+      "desc": "Wähle aus für welche Kameras Benachrichtigungen aktiviert werden sollen.",
+      "noCameras": "Keine Kameras verfügbar",
+      "title": "Kameras"
+    },
+    "sendTestNotification": "Test Benachrichtigung senden",
+    "globalSettings": {
+      "desc": "Benachrichtigungen für bestimmte Kameras auf allen registrierten Geräten vorübergehend aussetzen.",
+      "title": "Globale Einstellungen"
+    },
+    "deviceSpecific": "Geräte spezifische Einstellungen",
+    "active": "Benachrichtigungen aktiv",
+    "registerDevice": "Dieses Gerät registrieren",
+    "unregisterDevice": "Dieses Gerät abmelden",
+    "toast": {
+      "error": {
+        "registerFailed": "Speichern der Benachrichtigungsregistrierung fehlgeschlagen."
+      },
+      "success": {
+        "registered": "Erfolgreich für Benachrichtigungen registriert. Starte Frigate neu bevor Benachrichtigungen (inklusive Testbenachrichtigung) gesendet werden können.",
+        "settingSaved": "Benachrichtigungseinstellungen wurden gespeichert."
+      }
+    },
+    "suspendTime": {
+      "30minutes": "für 30 Minuten pausieren",
+      "1hour": "für 1 Stunde pausieren",
+      "12hours": "für 12 Stunden pausieren",
+      "untilRestart": "bis Neustart pausieren",
+      "24hours": "für 24 Stunden pausieren",
+      "5minutes": "Für 5 Minuten pausieren",
+      "10minutes": "Für 10 Minuten pausieren",
+      "suspend": "Pausieren"
+    },
+    "cancelSuspension": "Pausieren abbrechen",
+    "suspended": "Benachrichtigungen für {{time}} pausiert",
+    "unsavedChanges": "Nicht gespeicherte Änderungen an den Benachrichtigungen",
+    "unsavedRegistrations": "Nicht gespeicherte Benachrichtigungsanmeldungen"
+  },
+  "frigatePlus": {
+    "title": "Frigate+ Einstellungen",
+    "apiKey": {
+      "title": "Frigate+ API Key",
+      "desc": "Der Frigate+ API Key aktiviert die Integration des Frigate+ Dienstes.",
+      "validated": "Frigate+ API Key erkannt und validiert",
+      "notValidated": "Frigate+ API Key nicht erkannt und validiert",
+      "plusLink": "Lese mehr zu Frigate+"
+    },
+    "snapshotConfig": {
+      "desc": "Für die Übermittlung an Frigate+ muss in der Konfiguration sowohl Snapshots als auch <code>clean_copy</code>-Snapshots aktiviert sein.",
+      "cleanCopyWarning": "Einige Kameras haben Snapshots aktiviert aber clean copy deaktiviert. Aktiviere <code>clean_copy</code> in der Snapshot Konfiguration um Bilder an Frigate+ zu senden.",
+      "documentation": "die Dokumentation lesen",
+      "table": {
+        "camera": "Kamera",
+        "snapshots": "Snapshots",
+        "cleanCopySnapshots": "<code>clean_copy</code> Snapshots"
+      },
+      "title": "Snapshot Einstellungen"
+    },
+    "modelInfo": {
+      "modelType": "Model Typ",
+      "trainDate": "Trainings Datum",
+      "supportedDetectors": "Unterstützte Detektoren",
+      "modelSelect": "Die verfügbaren Modelle auf Frigate+ können hier ausgewählt werden. Beachte, dass nur Modelle kompatibel mit deiner aktuellen Detektorkonfiguration zur Auswahl stehen.",
+      "plusModelType": {
+        "baseModel": "Basis Model",
+        "userModel": "Feinabgestimmt"
+      },
+      "cameras": "Kameras",
+      "loading": "Lade Model Informationen…",
+      "error": "Model Informationen laden fehlgeschlagen",
+      "availableModels": "Verfügbare Modelle",
+      "loadingAvailableModels": "Lade verfügbare Modelle…",
+      "baseModel": "Basis Model",
+      "title": "Model Informationen"
+    },
+    "toast": {
+      "error": "Speichern der Konfigurationsänderungen fehlgeschlagen: {{errorMessage}}",
+      "success": "Frigate+ Einstellungen wurden gespeichert. Starte Frigate neu um Änderungen anzuwenden."
+    },
+    "restart_required": "Neustart erforderlich (Frigate+ Model geändert)",
+    "unsavedChanges": "Nicht gespeicherte Änderungen an den Frigate+-Einstellungen"
+  },
+  "enrichments": {
+    "birdClassification": {
+      "title": "Vogel Klassifizierung",
+      "desc": "Die Vogelklassifizierung identifiziert bekannte Vögel mithilfe eines quantisierten Tensorflow-Modells. Wenn ein bekannter Vogel erkannt wird, wird sein allgemeiner Name als sub_label hinzugefügt. Diese Informationen sind in der Benutzeroberfläche, in Filtern und in Benachrichtigungen enthalten."
+    },
+    "title": "Anreicherungseinstellungen",
+    "unsavedChanges": "Ungesicherte geänderte Verbesserungseinstellungen",
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmDesc": "Sind Sie sicher, dass Sie alle verfolgten Objekteinbettungen neu indizieren wollen? Dieser Prozess läuft im Hintergrund, kann aber Ihre CPU auslasten und eine gewisse Zeit in Anspruch nehmen. Sie können den Fortschritt auf der Seite Explore verfolgen.",
+        "label": "Jetzt neu indizien",
+        "desc": "Bei der Neuindizierung werden die Einbettungen für alle verfolgten Objekte neu generiert. Dieser Prozess läuft im Hintergrund und kann je nach Anzahl der verfolgten Objekte Ihre CPU auslasten und eine gewisse Zeit in Anspruch nehmen.",
+        "confirmTitle": "Neuinszenierung bestätigen",
+        "confirmButton": "Neuindizierung",
+        "success": "Die Neuindizierung wurde erfolgreich gestartet.",
+        "alreadyInProgress": "Die Neuindizierung ist bereits im Gange.",
+        "error": "Neuindizierung konnte nicht gestartet werden: {{errorMessage}}"
+      },
+      "modelSize": {
+        "small": {
+          "desc": "Bei der Verwendung von <em>klein</em> wird eine quantisierte Version des Modells verwendet, die weniger Arbeitsspeicher verbraucht und schneller auf der CPU läuft, wobei der Unterschied in der Einbettungsqualität sehr gering ist.",
+          "title": "klein"
+        },
+        "label": "Modell Größe",
+        "desc": "Die Größe des für die Einbettung der semantischen Suche verwendeten Modells.",
+        "large": {
+          "title": "groß",
+          "desc": "Bei der Verwendung von <em>groß</em> wird das gesamte Jina-Modell verwendet und automatisch auf der GPU ausgeführt, falls zutreffend."
+        }
+      },
+      "title": "Semantische Suche",
+      "desc": "Die semantische Suche in Frigate ermöglicht es Ihnen, verfolgte Objekte innerhalb Ihrer Überprüfungselemente zu finden, indem Sie entweder das Bild selbst, eine benutzerdefinierte Textbeschreibung oder eine automatisch generierte Beschreibung verwenden.",
+      "readTheDocumentation": "Lies die Dokumentation"
+    },
+    "faceRecognition": {
+      "title": "Gesichtserkennung",
+      "desc": "Die Gesichtserkennung ermöglicht es, Personen Namen zuzuweisen, und wenn ihr Gesicht erkannt wird, ordnet Frigate den Namen der Person als Untertitel zu. Diese Informationen sind in der Benutzeroberfläche, den Filtern und in den Benachrichtigungen enthalten.",
+      "readTheDocumentation": "Lies die Dokumentation",
+      "modelSize": {
+        "label": "Modell Größe",
+        "desc": "Die Größe des für die Gesichtserkennung verwendeten Modells.",
+        "small": {
+          "title": "klein",
+          "desc": "Mit <em>klein</em> wird ein FaceNet-Gesichtseinbettungsmodell verwendet, das auf den meisten CPUs effizient läuft."
+        },
+        "large": {
+          "title": "groß",
+          "desc": "Die Verwendung von <em>groß</em> verwendet ein ArcFace-Gesichtseinbettungsmodell und läuft automatisch auf der GPU, falls zutreffend."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Kennzeichenerkennung",
+      "desc": "Frigate kann Kennzeichen an Fahrzeugen erkennen und die erkannten Zeichen automatisch in das Feld recognized_license_plate oder einen bekannten Namen als sub_label zu Objekten vom Typ car hinzufügen. Ein häufiger Anwendungsfall ist das Lesen der Kennzeichen von Autos, die in eine Einfahrt einfahren oder auf einer Straße vorbeifahren.",
+      "readTheDocumentation": "Lies die Dokumentation"
+    },
+    "restart_required": "Neustart erforderlich (Verbesserungseinstellungen geändert)",
+    "toast": {
+      "success": "Die Einstellungen für die Verbesserungen wurden gespeichert. Starten Sie Frigate neu, um Ihre Änderungen zu übernehmen.",
+      "error": "Konfigurationsänderungen konnten nicht gespeichert werden: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/de/views/system.json b/web/public/locales/de/views/system.json
new file mode 100644
index 000000000..f869f1ba2
--- /dev/null
+++ b/web/public/locales/de/views/system.json
@@ -0,0 +1,180 @@
+{
+  "general": {
+    "hardwareInfo": {
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Ergebnis der Vainfo-Abfrage",
+          "returnCode": "Rückgabecode: {{code}}",
+          "processError": "Prozess Fehler:",
+          "processOutput": "Prozess-Output:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI Ausgabe",
+          "cudaComputerCapability": "CUDA Rechenleistung:{{cuda_compute}}",
+          "name": "Name: {{name}}",
+          "driver": "Treiber: {{driver}}",
+          "vbios": "VBios Info: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Schhließe GPU Info"
+        },
+        "copyInfo": {
+          "label": "Kopiere GPU Info"
+        },
+        "toast": {
+          "success": "GPU-Infos in die Zwischenablage kopiert"
+        }
+      },
+      "title": "Hardwareinformationen",
+      "gpuUsage": "GPU Auslastung",
+      "gpuMemory": "Grafikspeicher",
+      "gpuDecoder": "GPU Decoder",
+      "gpuEncoder": "GPU Encoder",
+      "npuUsage": "NPU Verwendung",
+      "npuMemory": "NPU Speicher"
+    },
+    "title": "Allgemein",
+    "detector": {
+      "title": "Detektoren",
+      "cpuUsage": "CPU-Auslastung des Detektors",
+      "memoryUsage": "Arbeitsspeichernutzung des Detektors",
+      "inferenceSpeed": "Detektoren Inferenzgeschwindigkeit",
+      "temperature": "Temperatur des Detektors"
+    },
+    "otherProcesses": {
+      "title": "Andere Prozesse",
+      "processCpuUsage": "CPU Auslastung für Prozess",
+      "processMemoryUsage": "Prozessspeicherauslastung"
+    }
+  },
+  "documentTitle": {
+    "cameras": "Kamerastatistiken – Frigate",
+    "storage": "Speicherstatistiken - Frigate",
+    "general": "Allgemeine Statistiken - Frigate",
+    "logs": {
+      "frigate": "Frigate Protokolle – Frigate",
+      "go2rtc": "Go2RTC Protokolle - Frigate",
+      "nginx": "Nginx Protokolle - Frigate"
+    },
+    "enrichments": "Erweiterte Statistiken - Frigate"
+  },
+  "title": "System",
+  "logs": {
+    "download": {
+      "label": "Protokolldateien herunterladen"
+    },
+    "copy": {
+      "success": "Protokolle in die Zwischenablage kopiert",
+      "label": "In die Zwischenablage kopieren",
+      "error": "Protokolle konnten nicht in die Zwischenablage kopiert werden"
+    },
+    "type": {
+      "message": "Nachricht",
+      "timestamp": "Zeitstempel",
+      "label": "Art",
+      "tag": "Tag"
+    },
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Fehler beim Abrufen der Protokolle: {{errorMessage}}",
+        "whileStreamingLogs": "Beim Übertragen der Protokolle ist ein Fehler aufgetreten: {{errorMessage}}"
+      }
+    },
+    "tips": "Protokolle werden in Echtzeit vom Server übertragen"
+  },
+  "metrics": "Systemmetriken",
+  "storage": {
+    "recordings": {
+      "earliestRecording": "Älteste verfügbare Aufzeichnung:",
+      "title": "Aufnahmen",
+      "tips": "Dieser Wert gibt den Gesamtspeicherplatz an, den die Aufzeichnungen in der Datenbank von Frigate belegen. Frigate erfasst nicht die Speichernutzung für alle Dateien auf Ihrer Festplatte."
+    },
+    "cameraStorage": {
+      "camera": "Kamera",
+      "title": "Kamera Speicher",
+      "unused": {
+        "title": "Ungenutzt",
+        "tips": "Dieser Wert gibt möglicherweise nicht genau den freien Speicherplatz an, der Frigate zur Verfügung steht, wenn neben den Aufzeichnungen von Frigate noch andere Dateien auf der Festplatte gespeichert sind. Frigate verfolgt die Speichernutzung außerhalb der Aufzeichnungen nicht."
+      },
+      "unusedStorageInformation": "Info zum ungenutzten Speicher",
+      "storageUsed": "Speicher",
+      "percentageOfTotalUsed": "Prozentualer Anteil am Gesamtanteil",
+      "bandwidth": "Bandbreite"
+    },
+    "title": "Speicher",
+    "overview": "Übersicht"
+  },
+  "cameras": {
+    "info": {
+      "stream": "Stream {{idx}}",
+      "video": "Video:",
+      "codec": "Codec:",
+      "fetching": "Lade Kamera Daten",
+      "resolution": "Auflösung:",
+      "fps": "FPS:",
+      "unknown": "Unbekannt",
+      "audio": "Audio:",
+      "error": "Fehler: {{error}}",
+      "cameraProbeInfo": "{{camera}} Kamera-Untersuchsungsinfo",
+      "streamDataFromFFPROBE": "Stream-Daten werden mit <code>ffprobe</code> erhalten.",
+      "tips": {
+        "title": "Kamera-Untersuchsungsinfo"
+      },
+      "aspectRatio": "Seitenverhältnis"
+    },
+    "overview": "Übersicht",
+    "label": {
+      "detect": "erkennen",
+      "camera": "Kamera",
+      "skipped": "übersprungene",
+      "ffmpeg": "FFmpeg",
+      "capture": "aufnehmen",
+      "overallFramesPerSecond": "Bilder pro Sekunde",
+      "overallDetectionsPerSecond": "Erkennungen pro Sekunde",
+      "overallSkippedDetectionsPerSecond": "übersprungene Erkennungen pro Sekunde",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} Aufnahme",
+      "cameraDetect": "{{camName}} Erkennung",
+      "cameraFramesPerSecond": "{{camName}} Bilder pro Sekunde",
+      "cameraDetectionsPerSecond": "{{camName}} Erkennungen pro Sekunde",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} übersprungene Erkennungen pro Sekunde"
+    },
+    "title": "Kameras",
+    "framesAndDetections": "Bilder / Erkennungen",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Kopiert Untersuchungsdaten in die Zwischenablage."
+      },
+      "error": {
+        "unableToProbeCamera": "Die Kamera kann nicht getestet werden: {{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "embeddings": {
+      "image_embedding_speed": "Geschwindigkeit der Bildeinbettung",
+      "face_embedding_speed": "Geschwindigkeit der Gesichtseinbettung",
+      "plate_recognition_speed": "Geschwindigkeit der Kennzeichenerkennung",
+      "text_embedding_speed": "Geschwindigkeit der Texteinbettung",
+      "plate_recognition": "Kennzeichen Erkennung",
+      "face_recognition_speed": "Gesichts Erkennungs Geschwindigkeit",
+      "text_embedding": "Einbettung von Bildern",
+      "face_recognition": "Gesichts Erkennung",
+      "image_embedding": "Bild Embedding",
+      "yolov9_plate_detection_speed": "YOLOv9 Kennzeichenerkennungsgeschwindigkeit",
+      "yolov9_plate_detection": "YOLOv9 Kennzeichenerkennung"
+    },
+    "title": "Optimierungen",
+    "infPerSecond": "Rückschlüsse pro Sekunde"
+  },
+  "stats": {
+    "healthy": "Das System läuft problemlos",
+    "ffmpegHighCpuUsage": "{{camera}} hat eine hohe FFmpeg CPU Auslastung ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} hat eine hohe CPU Auslastung bei der Erkennung ({{detectAvg}}%)",
+    "reindexingEmbeddings": "Neuindizierung von Einbettungen ({{processed}}% erledigt)",
+    "detectIsSlow": "{{detect}} ist langsam ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} ist sehr langsam ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} ist offline"
+  },
+  "lastRefreshed": "Zuletzt aktualisiert: "
+}
diff --git a/web/public/locales/el/audio.json b/web/public/locales/el/audio.json
new file mode 100644
index 000000000..f8dfffbc8
--- /dev/null
+++ b/web/public/locales/el/audio.json
@@ -0,0 +1,52 @@
+{
+  "speech": "Διάλογος",
+  "babbling": "Φλυαρία",
+  "yell": "Φωνές",
+  "bellow": "Κάτω από",
+  "whoop": "Κραυγή",
+  "whispering": "Ψίθυρος",
+  "laughter": "Γέλια",
+  "snicker": "Χαχανιτά",
+  "crying": "Κλάμα",
+  "dog": "Σκύλος",
+  "cat": "Γάτα",
+  "pig": "Γουρούνι",
+  "oink": "Κραυγή Γουρουνιού",
+  "moo": "Μουγκανιτό",
+  "cowbell": "Κουδούνι Αγελάδας",
+  "horse": "Άλογο",
+  "goat": "Κατσίκα",
+  "chicken": "Πρόβατο",
+  "child_singing": "Τραγούδι Παιδιού",
+  "sneeze": "Φτέρνισμα",
+  "sniff": "Όσφρηση",
+  "run": "Τρέξιμο",
+  "shuffle": "Ανακάτεμα",
+  "footsteps": "Βήματα",
+  "chewing": "Μάσημα",
+  "biting": "Δάγκωμα",
+  "bicycle": "Ποδήλατο",
+  "car": "Αυτοκίνητο",
+  "motorcycle": "Μηχανή",
+  "breathing": "Αναπνοή",
+  "snoring": "Ροχαλιτό",
+  "honk": "Κόρνα",
+  "wild_animals": "Άγρια Ζώα",
+  "roaring_cats": "Κραυγές από Γάτες",
+  "roar": "Βρυχηθμός",
+  "bird": "Πουλί",
+  "pigeon": "Περιστέρι",
+  "crow": "Κοράκι",
+  "caw": "Αγελάδα",
+  "owl": "Κουκουβάγια",
+  "flapping_wings": "Φτερούγισμα",
+  "dogs": "Σκυλιά",
+  "rats": "Ποντίκια",
+  "guitar": "Κιθάρα",
+  "electric_guitar": "Ηλεκτρική Κιθάρα",
+  "bass_guitar": "Μπάσο",
+  "acoustic_guitar": "Ακουστική Κιθάρα",
+  "classical_music": "Κλασική Μουσική",
+  "opera": "Όπερα",
+  "electronic_music": "Ηλεκτρονική Μουσική"
+}
diff --git a/web/public/locales/el/common.json b/web/public/locales/el/common.json
new file mode 100644
index 000000000..d521af9a0
--- /dev/null
+++ b/web/public/locales/el/common.json
@@ -0,0 +1,8 @@
+{
+  "time": {
+    "untilForTime": "Ως{{time}}",
+    "untilForRestart": "Μέχρι να γίνει επανεκίννηση του Frigate.",
+    "untilRestart": "Μέχρι να γίνει επανεκκίνηση",
+    "justNow": "Μόλις τώρα"
+  }
+}
diff --git a/web/public/locales/el/components/auth.json b/web/public/locales/el/components/auth.json
new file mode 100644
index 000000000..722e8efbf
--- /dev/null
+++ b/web/public/locales/el/components/auth.json
@@ -0,0 +1,10 @@
+{
+  "form": {
+    "user": "Όνομα χρήστη",
+    "password": "Κωδικός",
+    "login": "Σύνδεση",
+    "errors": {
+      "usernameRequired": "Απαιτείται όνομα χρήστη"
+    }
+  }
+}
diff --git a/web/public/locales/el/components/camera.json b/web/public/locales/el/components/camera.json
new file mode 100644
index 000000000..8d0571fbe
--- /dev/null
+++ b/web/public/locales/el/components/camera.json
@@ -0,0 +1,6 @@
+{
+  "group": {
+    "add": "Προσθήκη ομάδας καμερών",
+    "label": "Ομάδες καμερών"
+  }
+}
diff --git a/web/public/locales/el/components/dialog.json b/web/public/locales/el/components/dialog.json
new file mode 100644
index 000000000..5d83ef580
--- /dev/null
+++ b/web/public/locales/el/components/dialog.json
@@ -0,0 +1,38 @@
+{
+  "restart": {
+    "restarting": {
+      "content": "Αυτή η σελίδα θα φορτώσει ξανά σε {{countdown}} δευτερόλεπτα.",
+      "title": "Το Frigate κάνει επανεκκίνηση",
+      "button": "Αναγκαστική επαναφόρτωση τώρα"
+    },
+    "title": "Είστε σίγουροι ότι θέλετε να επανεκκινήσετε το Frigate;",
+    "button": "Επανεκκίνηση"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Υποβολή σε Frigate+",
+        "desc": "Τα αντικείμενα σε τοποθεσίες που θέλετε να αποφύγετε δεν είναι ψευδώς θετικά. Η υποβολή τους ως ψευδώς θετικά θα προκαλέσει σύγχυση στο μοντέλο."
+      },
+      "review": {
+        "question": {
+          "label": "Επιβεβαιώστε αυτήν την ετικέτα για το Frigate Plus",
+          "ask_a": "Είναι αυτό το αντικείμενο <code>{{label}}</code>;",
+          "ask_an": "Είναι αυτό το αντικείμενο <code>{{label}}</code>;",
+          "ask_full": "Είναι αυτό το αντικείμενο <code>{{untranslatedLabel}}</code> ({{translatedLabel}});"
+        },
+        "state": {
+          "submitted": "Υποβλήθηκε"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Προβολή στο Ιστορικό"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Επιλογή από Χρονολόγιο"
+    }
+  }
+}
diff --git a/web/public/locales/el/components/filter.json b/web/public/locales/el/components/filter.json
new file mode 100644
index 000000000..ecfa4905e
--- /dev/null
+++ b/web/public/locales/el/components/filter.json
@@ -0,0 +1,6 @@
+{
+  "filter": "Φίλτρο",
+  "labels": {
+    "label": "Ετικέτες"
+  }
+}
diff --git a/web/public/locales/el/components/icons.json b/web/public/locales/el/components/icons.json
new file mode 100644
index 000000000..5be267a79
--- /dev/null
+++ b/web/public/locales/el/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Επιλέξτε ένα εικονίδιο",
+    "search": {
+      "placeholder": "Αναζήτηση εικονιδίου…"
+    }
+  }
+}
diff --git a/web/public/locales/el/components/input.json b/web/public/locales/el/components/input.json
new file mode 100644
index 000000000..87a931859
--- /dev/null
+++ b/web/public/locales/el/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Λήψη βίντεο",
+      "toast": {
+        "success": "Το βίντεο αξιολόγησης έχει αρχίσει να κατεβαίνει."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/el/components/player.json b/web/public/locales/el/components/player.json
new file mode 100644
index 000000000..14f444437
--- /dev/null
+++ b/web/public/locales/el/components/player.json
@@ -0,0 +1,42 @@
+{
+  "noRecordingsFoundForThisTime": "Δεν βρέθηκαν εγγραφές για αυτήν την ώρα",
+  "noPreviewFound": "Δεν βρέθηκε προεπισκόπηση",
+  "noPreviewFoundFor": "Δεν βρέθηκε προεπισκόπηση για {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Να υποβληθεί αυτό το καρέ στο Frigate+;",
+    "submit": "Υποβολή"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ή μεγαλύτερο χρειάζεται για αυτό τον τύπο του live stream.",
+  "streamOffline": {
+    "title": "Η μετάδοση είναι εκτός λειτουργίας",
+    "desc": "Δεν έχουν ληφθεί καρέ στη ροή {{cameraName}} <code>detect</code>, ελέγξτε τα αρχεία καταγραφής σφαλμάτων"
+  },
+  "cameraDisabled": "Η Κάμερα έχει απενεργοποιηθεί",
+  "stats": {
+    "streamType": {
+      "title": "Τύπος μετάδοσης:",
+      "short": "Τύπος"
+    },
+    "bandwidth": {
+      "title": "Ταχύτητα:",
+      "short": "Ταχύτητα"
+    },
+    "latency": {
+      "title": "Καθυστέρηση:",
+      "value": "{{seconds}} δευτερόλεπτα",
+      "short": {
+        "title": "Καθυστέρηση",
+        "value": "{{seconds}} δευτερόλεπτα"
+      }
+    },
+    "totalFrames": "Συνολικός αριθμός Καρέ:",
+    "droppedFrames": {
+      "title": "Απορριφθέντα καρέ:",
+      "short": {
+        "title": "Απορριφθέντα",
+        "value": "{{droppedFrames}} καρέ"
+      }
+    },
+    "decodedFrames": "Αποκωδικοποιημένα Καρέ:"
+  }
+}
diff --git a/web/public/locales/el/objects.json b/web/public/locales/el/objects.json
new file mode 100644
index 000000000..22d5874ca
--- /dev/null
+++ b/web/public/locales/el/objects.json
@@ -0,0 +1,8 @@
+{
+  "person": "Άτομο",
+  "bicycle": "Ποδήλατο",
+  "car": "Αυτοκίνητο",
+  "motorcycle": "Μηχανή",
+  "airplane": "Αεροπλάνο",
+  "bird": "Πουλί"
+}
diff --git a/web/public/locales/el/views/configEditor.json b/web/public/locales/el/views/configEditor.json
new file mode 100644
index 000000000..d468103fa
--- /dev/null
+++ b/web/public/locales/el/views/configEditor.json
@@ -0,0 +1,5 @@
+{
+  "documentTitle": "Επεξεργαστής ρυθμίσεων - Frigate",
+  "configEditor": "Επεξεργαστής Ρυθμίσεων",
+  "saveAndRestart": "Αποθήκευση και επανεκκίνηση"
+}
diff --git a/web/public/locales/el/views/events.json b/web/public/locales/el/views/events.json
new file mode 100644
index 000000000..76dc0264a
--- /dev/null
+++ b/web/public/locales/el/views/events.json
@@ -0,0 +1,8 @@
+{
+  "alerts": "Ειδοποιήσεις",
+  "detections": "Εντοπισμοί",
+  "motion": {
+    "label": "Κίνηση",
+    "only": "Κίνηση μόνο"
+  }
+}
diff --git a/web/public/locales/el/views/explore.json b/web/public/locales/el/views/explore.json
new file mode 100644
index 000000000..a48e770ea
--- /dev/null
+++ b/web/public/locales/el/views/explore.json
@@ -0,0 +1,3 @@
+{
+  "documentTitle": "Εξερευνήστε - Frigate"
+}
diff --git a/web/public/locales/el/views/exports.json b/web/public/locales/el/views/exports.json
new file mode 100644
index 000000000..e8517ae5c
--- /dev/null
+++ b/web/public/locales/el/views/exports.json
@@ -0,0 +1,5 @@
+{
+  "documentTitle": "Εξαγωγή - Frigate",
+  "search": "Αναζήτηση",
+  "deleteExport": "Διαγραφή εξαγωγής"
+}
diff --git a/web/public/locales/el/views/faceLibrary.json b/web/public/locales/el/views/faceLibrary.json
new file mode 100644
index 000000000..8ee6c9690
--- /dev/null
+++ b/web/public/locales/el/views/faceLibrary.json
@@ -0,0 +1,10 @@
+{
+  "description": {
+    "addFace": "Οδηγός για την προσθήκη μιας νέας συλλογής στη Βιβλιοθήκη Προσώπων.",
+    "placeholder": "Εισαγάγετε ένα όνομα για αυτήν τη συλλογή",
+    "invalidName": "Μη έγκυρο όνομα. Τα ονόματα μπορούν να περιλαμβάνουν γράμματα, αριθμούς, κενό διάστημα, απόστροφο, παύλα, κάτω παύλα."
+  },
+  "details": {
+    "person": "Άτομο"
+  }
+}
diff --git a/web/public/locales/el/views/live.json b/web/public/locales/el/views/live.json
new file mode 100644
index 000000000..daeb09636
--- /dev/null
+++ b/web/public/locales/el/views/live.json
@@ -0,0 +1,6 @@
+{
+  "documentTitle": "Ζωντανά - Frigate",
+  "twoWayTalk": {
+    "enable": "Ενεργοποίηση αμφίδρομης επικοινωνίας"
+  }
+}
diff --git a/web/public/locales/el/views/recording.json b/web/public/locales/el/views/recording.json
new file mode 100644
index 000000000..063abbd2b
--- /dev/null
+++ b/web/public/locales/el/views/recording.json
@@ -0,0 +1,6 @@
+{
+  "filter": "Φίλτρο",
+  "export": "Εξαγωγή",
+  "calendar": "Ημερολόγιο",
+  "filters": "Φίλτρα"
+}
diff --git a/web/public/locales/el/views/search.json b/web/public/locales/el/views/search.json
new file mode 100644
index 000000000..96ca56e0d
--- /dev/null
+++ b/web/public/locales/el/views/search.json
@@ -0,0 +1,7 @@
+{
+  "search": "Αναζήτηση",
+  "savedSearches": "Αποθηκευμένες Αναζητήσεις",
+  "button": {
+    "clear": "Εκαθάρηση αναζήτησης"
+  }
+}
diff --git a/web/public/locales/el/views/settings.json b/web/public/locales/el/views/settings.json
new file mode 100644
index 000000000..0d184f3d2
--- /dev/null
+++ b/web/public/locales/el/views/settings.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": {
+    "default": "Ρυθμίσεις - Frigate",
+    "authentication": "Ρυθμίσεις ελέγχου ταυτοποίησης - Frigate",
+    "camera": "Ρυθμίσεις Κάμερας - Frigate"
+  }
+}
diff --git a/web/public/locales/el/views/system.json b/web/public/locales/el/views/system.json
new file mode 100644
index 000000000..3076645d6
--- /dev/null
+++ b/web/public/locales/el/views/system.json
@@ -0,0 +1,5 @@
+{
+  "documentTitle": {
+    "cameras": "Στατιστικά Καμερών - Frigate"
+  }
+}
diff --git a/web/public/locales/en/audio.json b/web/public/locales/en/audio.json
new file mode 100644
index 000000000..de5f5638c
--- /dev/null
+++ b/web/public/locales/en/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Speech",
+  "babbling": "Babbling",
+  "yell": "Yell",
+  "bellow": "Bellow",
+  "whoop": "Whoop",
+  "whispering": "Whispering",
+  "laughter": "Laughter",
+  "snicker": "Snicker",
+  "crying": "Crying",
+  "sigh": "Sigh",
+  "singing": "Singing",
+  "choir": "Choir",
+  "yodeling": "Yodeling",
+  "chant": "Chant",
+  "mantra": "Mantra",
+  "child_singing": "Child Singing",
+  "synthetic_singing": "Synthetic Singing",
+  "rapping": "Rapping",
+  "humming": "Humming",
+  "groan": "Groan",
+  "grunt": "Grunt",
+  "whistling": "Whistling",
+  "breathing": "Breathing",
+  "wheeze": "Wheeze",
+  "snoring": "Snoring",
+  "gasp": "Gasp",
+  "pant": "Pant",
+  "snort": "Snort",
+  "cough": "Cough",
+  "throat_clearing": "Throat Clearing",
+  "sneeze": "Sneeze",
+  "sniff": "Sniff",
+  "run": "Run",
+  "shuffle": "Shuffle",
+  "footsteps": "Footsteps",
+  "chewing": "Chewing",
+  "biting": "Biting",
+  "gargling": "Gargling",
+  "stomach_rumble": "Stomach Rumble",
+  "burping": "Burping",
+  "hiccup": "Hiccup",
+  "fart": "Fart",
+  "hands": "Hands",
+  "finger_snapping": "Finger Snapping",
+  "clapping": "Clapping",
+  "heartbeat": "Heartbeat",
+  "heart_murmur": "Heart Murmur",
+  "cheering": "Cheering",
+  "applause": "Applause",
+  "chatter": "Chatter",
+  "crowd": "Crowd",
+  "children_playing": "Children Playing",
+  "animal": "Animal",
+  "pets": "Pets",
+  "dog": "Dog",
+  "bark": "Bark",
+  "yip": "Yip",
+  "howl": "Howl",
+  "bow_wow": "Bow Wow",
+  "growling": "Growling",
+  "whimper_dog": "Dog Whimper",
+  "cat": "Cat",
+  "purr": "Purr",
+  "meow": "Meow",
+  "hiss": "Hiss",
+  "caterwaul": "Caterwaul",
+  "livestock": "Livestock",
+  "horse": "Horse",
+  "clip_clop": "Clip Clop",
+  "neigh": "Neigh",
+  "cattle": "Cattle",
+  "moo": "Moo",
+  "cowbell": "Cowbell",
+  "pig": "Pig",
+  "oink": "Oink",
+  "goat": "Goat",
+  "bleat": "Bleat",
+  "sheep": "Sheep",
+  "fowl": "Fowl",
+  "chicken": "Chicken",
+  "cluck": "Cluck",
+  "cock_a_doodle_doo": "Cock-a-Doodle-Doo",
+  "turkey": "Turkey",
+  "gobble": "Gobble",
+  "duck": "Duck",
+  "quack": "Quack",
+  "goose": "Goose",
+  "honk": "Honk",
+  "wild_animals": "Wild Animals",
+  "roaring_cats": "Roaring Cats",
+  "roar": "Roar",
+  "bird": "Bird",
+  "chirp": "Chirp",
+  "squawk": "Squawk",
+  "pigeon": "Pigeon",
+  "coo": "Coo",
+  "crow": "Crow",
+  "caw": "Caw",
+  "owl": "Owl",
+  "hoot": "Hoot",
+  "flapping_wings": "Flapping Wings",
+  "dogs": "Dogs",
+  "rats": "Rats",
+  "mouse": "Mouse",
+  "patter": "Patter",
+  "insect": "Insect",
+  "cricket": "Cricket",
+  "mosquito": "Mosquito",
+  "fly": "Fly",
+  "buzz": "Buzz",
+  "frog": "Frog",
+  "croak": "Croak",
+  "snake": "Snake",
+  "rattle": "Rattle",
+  "whale_vocalization": "Whale Vocalization",
+  "music": "Music",
+  "musical_instrument": "Musical Instrument",
+  "plucked_string_instrument": "Plucked String Instrument",
+  "guitar": "Guitar",
+  "electric_guitar": "Electric Guitar",
+  "bass_guitar": "Bass Guitar",
+  "acoustic_guitar": "Acoustic Guitar",
+  "steel_guitar": "Steel Guitar",
+  "tapping": "Tapping",
+  "strum": "Strum",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolin",
+  "zither": "Zither",
+  "ukulele": "Ukulele",
+  "keyboard": "Keyboard",
+  "piano": "Piano",
+  "electric_piano": "Electric Piano",
+  "organ": "Organ",
+  "electronic_organ": "Electronic Organ",
+  "hammond_organ": "Hammond Organ",
+  "synthesizer": "Synthesizer",
+  "sampler": "Sampler",
+  "harpsichord": "Harpsichord",
+  "percussion": "Percussion",
+  "drum_kit": "Drum Kit",
+  "drum_machine": "Drum Machine",
+  "drum": "Drum",
+  "snare_drum": "Snare Drum",
+  "rimshot": "Rimshot",
+  "drum_roll": "Drum Roll",
+  "bass_drum": "Bass Drum",
+  "timpani": "Timpani",
+  "tabla": "Tabla",
+  "cymbal": "Cymbal",
+  "hi_hat": "Hi-Hat",
+  "wood_block": "Wood Block",
+  "tambourine": "Tambourine",
+  "maraca": "Maraca",
+  "gong": "Gong",
+  "tubular_bells": "Tubular Bells",
+  "mallet_percussion": "Mallet Percussion",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibraphone",
+  "steelpan": "Steelpan",
+  "orchestra": "Orchestra",
+  "brass_instrument": "Brass Instrument",
+  "french_horn": "French Horn",
+  "trumpet": "Trumpet",
+  "trombone": "Trombone",
+  "bowed_string_instrument": "Bowed String Instrument",
+  "string_section": "String Section",
+  "violin": "Violin",
+  "pizzicato": "Pizzicato",
+  "cello": "Cello",
+  "double_bass": "Double Bass",
+  "wind_instrument": "Wind Instrument",
+  "flute": "Flute",
+  "saxophone": "Saxophone",
+  "clarinet": "Clarinet",
+  "harp": "Harp",
+  "bell": "Bell",
+  "church_bell": "Church Bell",
+  "jingle_bell": "Jingle Bell",
+  "bicycle_bell": "Bicycle Bell",
+  "tuning_fork": "Tuning Fork",
+  "chime": "Chime",
+  "wind_chime": "Wind Chime",
+  "harmonica": "Harmonica",
+  "accordion": "Accordion",
+  "bagpipes": "Bagpipes",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Singing Bowl",
+  "scratching": "Scratching",
+  "pop_music": "Pop Music",
+  "hip_hop_music": "Hip-Hop Music",
+  "beatboxing": "Beatboxing",
+  "rock_music": "Rock Music",
+  "heavy_metal": "Heavy Metal",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "progressive_rock": "Progressive Rock",
+  "rock_and_roll": "Rock and Roll",
+  "psychedelic_rock": "Psychedelic Rock",
+  "rhythm_and_blues": "Rhythm and Blues",
+  "soul_music": "Soul Music",
+  "reggae": "Reggae",
+  "country": "Country",
+  "swing_music": "Swing Music",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Folk Music",
+  "middle_eastern_music": "Middle Eastern Music",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Classical Music",
+  "opera": "Opera",
+  "electronic_music": "Electronic Music",
+  "house_music": "House Music",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Electronica",
+  "electronic_dance_music": "Electronic Dance Music",
+  "ambient_music": "Ambient Music",
+  "trance_music": "Trance Music",
+  "music_of_latin_america": "Music of Latin America",
+  "salsa_music": "Salsa Music",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Music for Children",
+  "new-age_music": "New Age Music",
+  "vocal_music": "Vocal Music",
+  "a_capella": "A Capella",
+  "music_of_africa": "Music of Africa",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Christian Music",
+  "gospel_music": "Gospel Music",
+  "music_of_asia": "Music of Asia",
+  "carnatic_music": "Carnatic Music",
+  "music_of_bollywood": "Music of Bollywood",
+  "ska": "Ska",
+  "traditional_music": "Traditional Music",
+  "independent_music": "Independent Music",
+  "song": "Song",
+  "background_music": "Background Music",
+  "theme_music": "Theme Music",
+  "jingle": "Jingle",
+  "soundtrack_music": "Soundtrack Music",
+  "lullaby": "Lullaby",
+  "video_game_music": "Video Game Music",
+  "christmas_music": "Christmas Music",
+  "dance_music": "Dance Music",
+  "wedding_music": "Wedding Music",
+  "happy_music": "Happy Music",
+  "sad_music": "Sad Music",
+  "tender_music": "Tender Music",
+  "exciting_music": "Exciting Music",
+  "angry_music": "Angry Music",
+  "scary_music": "Scary Music",
+  "wind": "Wind",
+  "rustling_leaves": "Rustling Leaves",
+  "wind_noise": "Wind Noise",
+  "thunderstorm": "Thunderstorm",
+  "thunder": "Thunder",
+  "water": "Water",
+  "rain": "Rain",
+  "raindrop": "Raindrop",
+  "rain_on_surface": "Rain on Surface",
+  "stream": "Stream",
+  "waterfall": "Waterfall",
+  "ocean": "Ocean",
+  "waves": "Waves",
+  "steam": "Steam",
+  "gurgling": "Gurgling",
+  "fire": "Fire",
+  "crackle": "Crackle",
+  "vehicle": "Vehicle",
+  "boat": "Boat",
+  "sailboat": "Sailboat",
+  "rowboat": "Rowboat",
+  "motorboat": "Motorboat",
+  "ship": "Ship",
+  "motor_vehicle": "Motor Vehicle",
+  "car": "Car",
+  "toot": "Toot",
+  "car_alarm": "Car Alarm",
+  "power_windows": "Power Windows",
+  "skidding": "Skidding",
+  "tire_squeal": "Tire Squeal",
+  "car_passing_by": "Car Passing By",
+  "race_car": "Race Car",
+  "truck": "Truck",
+  "air_brake": "Air Brake",
+  "air_horn": "Air Horn",
+  "reversing_beeps": "Reversing Beeps",
+  "ice_cream_truck": "Ice Cream Truck",
+  "bus": "Bus",
+  "emergency_vehicle": "Emergency Vehicle",
+  "police_car": "Police Car",
+  "ambulance": "Ambulance",
+  "fire_engine": "Fire Engine",
+  "motorcycle": "Motorcycle",
+  "traffic_noise": "Traffic Noise",
+  "rail_transport": "Rail Transport",
+  "train": "Train",
+  "train_whistle": "Train Whistle",
+  "train_horn": "Train Horn",
+  "railroad_car": "Railroad Car",
+  "train_wheels_squealing": "Train Wheels Squealing",
+  "subway": "Subway",
+  "aircraft": "Aircraft",
+  "aircraft_engine": "Aircraft Engine",
+  "jet_engine": "Jet Engine",
+  "propeller": "Propeller",
+  "helicopter": "Helicopter",
+  "fixed-wing_aircraft": "Fixed-Wing Aircraft",
+  "bicycle": "Bicycle",
+  "skateboard": "Skateboard",
+  "engine": "Engine",
+  "light_engine": "Light Engine",
+  "dental_drill's_drill": "Dental Drill",
+  "lawn_mower": "Lawn Mower",
+  "chainsaw": "Chainsaw",
+  "medium_engine": "Medium Engine",
+  "heavy_engine": "Heavy Engine",
+  "engine_knocking": "Engine Knocking",
+  "engine_starting": "Engine Starting",
+  "idling": "Idling",
+  "accelerating": "Accelerating",
+  "door": "Door",
+  "doorbell": "Doorbell",
+  "ding-dong": "Ding-Dong",
+  "sliding_door": "Sliding Door",
+  "slam": "Slam",
+  "knock": "Knock",
+  "tap": "Tap",
+  "squeak": "Squeak",
+  "cupboard_open_or_close": "Cupboard Open or Close",
+  "drawer_open_or_close": "Drawer Open or Close",
+  "dishes": "Dishes",
+  "cutlery": "Cutlery",
+  "chopping": "Chopping",
+  "frying": "Frying",
+  "microwave_oven": "Microwave Oven",
+  "blender": "Blender",
+  "water_tap": "Water Tap",
+  "sink": "Sink",
+  "bathtub": "Bathtub",
+  "hair_dryer": "Hair Dryer",
+  "toilet_flush": "Toilet Flush",
+  "toothbrush": "Toothbrush",
+  "electric_toothbrush": "Electric Toothbrush",
+  "vacuum_cleaner": "Vacuum Cleaner",
+  "zipper": "Zipper",
+  "keys_jangling": "Keys Jangling",
+  "coin": "Coin",
+  "scissors": "Scissors",
+  "electric_shaver": "Electric Shaver",
+  "shuffling_cards": "Shuffling Cards",
+  "typing": "Typing",
+  "typewriter": "Typewriter",
+  "computer_keyboard": "Computer Keyboard",
+  "writing": "Writing",
+  "alarm": "Alarm",
+  "telephone": "Telephone",
+  "telephone_bell_ringing": "Telephone Bell Ringing",
+  "ringtone": "Ringtone",
+  "telephone_dialing": "Telephone Dialing",
+  "dial_tone": "Dial Tone",
+  "busy_signal": "Busy Signal",
+  "alarm_clock": "Alarm Clock",
+  "siren": "Siren",
+  "civil_defense_siren": "Civil Defense Siren",
+  "buzzer": "Buzzer",
+  "smoke_detector": "Smoke Detector",
+  "fire_alarm": "Fire Alarm",
+  "foghorn": "Foghorn",
+  "whistle": "Whistle",
+  "steam_whistle": "Steam Whistle",
+  "mechanisms": "Mechanisms",
+  "ratchet": "Ratchet",
+  "clock": "Clock",
+  "tick": "Tick",
+  "tick-tock": "Tick-Tock",
+  "gears": "Gears",
+  "pulleys": "Pulleys",
+  "sewing_machine": "Sewing Machine",
+  "mechanical_fan": "Mechanical Fan",
+  "air_conditioning": "Air Conditioning",
+  "cash_register": "Cash Register",
+  "printer": "Printer",
+  "camera": "Camera",
+  "single-lens_reflex_camera": "Single-Lens Reflex Camera",
+  "tools": "Tools",
+  "hammer": "Hammer",
+  "jackhammer": "Jackhammer",
+  "sawing": "Sawing",
+  "filing": "Filing",
+  "sanding": "Sanding",
+  "power_tool": "Power Tool",
+  "drill": "Drill",
+  "explosion": "Explosion",
+  "gunshot": "Gunshot",
+  "machine_gun": "Machine Gun",
+  "fusillade": "Fusillade",
+  "artillery_fire": "Artillery Fire",
+  "cap_gun": "Cap Gun",
+  "fireworks": "Fireworks",
+  "firecracker": "Firecracker",
+  "burst": "Burst",
+  "eruption": "Eruption",
+  "boom": "Boom",
+  "wood": "Wood",
+  "chop": "Chop",
+  "splinter": "Splinter",
+  "crack": "Crack",
+  "glass": "Glass",
+  "chink": "Chink",
+  "shatter": "Shatter",
+  "silence": "Silence",
+  "sound_effect": "Sound Effect",
+  "environmental_noise": "Environmental Noise",
+  "static": "Static",
+  "white_noise": "White Noise",
+  "pink_noise": "Pink Noise",
+  "television": "Television",
+  "radio": "Radio",
+  "field_recording": "Field Recording",
+  "scream": "Scream"
+}
diff --git a/web/public/locales/en/common.json b/web/public/locales/en/common.json
new file mode 100644
index 000000000..86304fff3
--- /dev/null
+++ b/web/public/locales/en/common.json
@@ -0,0 +1,266 @@
+{
+  "time": {
+    "untilForTime": "Until {{time}}",
+    "untilForRestart": "Until Frigate restarts.",
+    "untilRestart": "Until restart",
+    "ago": "{{timeAgo}} ago",
+    "justNow": "Just now",
+    "today": "Today",
+    "yesterday": "Yesterday",
+    "last7": "Last 7 days",
+    "last14": "Last 14 days",
+    "last30": "Last 30 days",
+    "thisWeek": "This Week",
+    "lastWeek": "Last Week",
+    "thisMonth": "This Month",
+    "lastMonth": "Last Month",
+    "5minutes": "5 minutes",
+    "10minutes": "10 minutes",
+    "30minutes": "30 minutes",
+    "1hour": "1 hour",
+    "12hours": "12 hours",
+    "24hours": "24 hours",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}yr",
+    "year_one": "{{time}} year",
+    "year_other": "{{time}} years",
+    "mo": "{{time}}mo",
+    "month_one": "{{time}} month",
+    "month_other": "{{time}} months",
+    "d": "{{time}}d",
+    "day_one": "{{time}} day",
+    "day_other": "{{time}} days",
+    "h": "{{time}}h",
+    "hour_one": "{{time}} hour",
+    "hour_other": "{{time}} hours",
+    "m": "{{time}}m",
+    "minute_one": "{{time}} minute",
+    "minute_other": "{{time}} minutes",
+    "s": "{{time}}s",
+    "second_one": "{{time}} second",
+    "second_other": "{{time}} seconds",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "kph"
+    },
+    "length": {
+      "feet": "feet",
+      "meters": "meters"
+    }
+  },
+  "label": {
+    "back": "Go back"
+  },
+  "button": {
+    "apply": "Apply",
+    "reset": "Reset",
+    "done": "Done",
+    "enabled": "Enabled",
+    "enable": "Enable",
+    "disabled": "Disabled",
+    "disable": "Disable",
+    "save": "Save",
+    "saving": "Saving…",
+    "cancel": "Cancel",
+    "close": "Close",
+    "copy": "Copy",
+    "back": "Back",
+    "history": "History",
+    "fullscreen": "Fullscreen",
+    "exitFullscreen": "Exit Fullscreen",
+    "pictureInPicture": "Picture in Picture",
+    "twoWayTalk": "Two Way Talk",
+    "cameraAudio": "Camera Audio",
+    "on": "ON",
+    "off": "OFF",
+    "edit": "Edit",
+    "copyCoordinates": "Copy coordinates",
+    "delete": "Delete",
+    "yes": "Yes",
+    "no": "No",
+    "download": "Download",
+    "info": "Info",
+    "suspended": "Suspended",
+    "unsuspended": "Unsuspend",
+    "play": "Play",
+    "unselect": "Unselect",
+    "export": "Export",
+    "deleteNow": "Delete Now",
+    "next": "Next"
+  },
+  "menu": {
+    "system": "System",
+    "systemMetrics": "System metrics",
+    "configuration": "Configuration",
+    "systemLogs": "System logs",
+    "settings": "Settings",
+    "configurationEditor": "Configuration Editor",
+    "languages": "Languages",
+    "language": {
+      "en": "English (English)",
+      "es": "Español (Spanish)",
+      "zhCN": "简体中文 (Simplified Chinese)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (French)",
+      "ar": "العربية (Arabic)",
+      "pt": "Português (Portuguese)",
+      "ptBR": "Português brasileiro (Brazilian Portuguese)",
+      "ru": "Русский (Russian)",
+      "de": "Deutsch (German)",
+      "ja": "日本語 (Japanese)",
+      "tr": "Türkçe (Turkish)",
+      "it": "Italiano (Italian)",
+      "nl": "Nederlands (Dutch)",
+      "sv": "Svenska (Swedish)",
+      "cs": "Čeština (Czech)",
+      "nb": "Norsk Bokmål (Norwegian Bokmål)",
+      "ko": "한국어 (Korean)",
+      "vi": "Tiếng Việt (Vietnamese)",
+      "fa": "فارسی (Persian)",
+      "pl": "Polski (Polish)",
+      "uk": "Українська (Ukrainian)",
+      "he": "עברית (Hebrew)",
+      "el": "Ελληνικά (Greek)",
+      "ro": "Română (Romanian)",
+      "hu": "Magyar (Hungarian)",
+      "fi": "Suomi (Finnish)",
+      "da": "Dansk (Danish)",
+      "sk": "Slovenčina (Slovak)",
+      "yue": "粵語 (Cantonese)",
+      "th": "ไทย (Thai)",
+      "ca": "Català (Catalan)",
+      "sr": "Српски (Serbian)",
+      "sl": "Slovenščina (Slovenian)",
+      "lt": "Lietuvių (Lithuanian)",
+      "bg": "Български (Bulgarian)",
+      "gl": "Galego (Galician)",
+      "id": "Bahasa Indonesia (Indonesian)",
+      "ur": "اردو (Urdu)",
+      "withSystem": {
+        "label": "Use the system settings for language"
+      }
+    },
+    "appearance": "Appearance",
+    "darkMode": {
+      "label": "Dark Mode",
+      "light": "Light",
+      "dark": "Dark",
+      "withSystem": {
+        "label": "Use the system settings for light or dark mode"
+      }
+    },
+    "withSystem": "System",
+    "theme": {
+      "label": "Theme",
+      "blue": "Blue",
+      "green": "Green",
+      "nord": "Nord",
+      "red": "Red",
+      "highcontrast": "High Contrast",
+      "default": "Default"
+    },
+    "help": "Help",
+    "documentation": {
+      "title": "Documentation",
+      "label": "Frigate documentation"
+    },
+    "restart": "Restart Frigate",
+    "live": {
+      "title": "Live",
+      "allCameras": "All Cameras",
+      "cameras": {
+        "title": "Cameras",
+        "count_one": "{{count}} Camera",
+        "count_other": "{{count}} Cameras"
+      }
+    },
+    "review": "Review",
+    "explore": "Explore",
+    "export": "Export",
+    "uiPlayground": "UI Playground",
+    "faceLibrary": "Face Library",
+    "user": {
+      "title": "User",
+      "account": "Account",
+      "current": "Current User: {{user}}",
+      "anonymous": "anonymous",
+      "logout": "Logout",
+      "setPassword": "Set Password"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "Copied URL to clipboard.",
+    "save": {
+      "title": "Save",
+      "error": {
+        "title": "Failed to save config changes: {{errorMessage}}",
+        "noMessage": "Failed to save config changes"
+      }
+    }
+  },
+  "role": {
+    "title": "Role",
+    "admin": "Admin",
+    "viewer": "Viewer",
+    "desc": "Admins have full access to all features in the Frigate UI. Viewers are limited to viewing cameras, review items, and historical footage in the UI."
+  },
+  "pagination": {
+    "label": "pagination",
+    "previous": {
+      "title": "Previous",
+      "label": "Go to previous page"
+    },
+    "next": {
+      "title": "Next",
+      "label": "Go to next page"
+    },
+    "more": "More pages"
+  },
+  "accessDenied": {
+    "documentTitle": "Access Denied - Frigate",
+    "title": "Access Denied",
+    "desc": "You don't have permission to view this page."
+  },
+  "notFound": {
+    "documentTitle": "Not Found - Frigate",
+    "title": "404",
+    "desc": "Page not found"
+  },
+  "selectItem": "Select {{item}}"
+}
diff --git a/web/public/locales/en/components/auth.json b/web/public/locales/en/components/auth.json
new file mode 100644
index 000000000..05c2a779f
--- /dev/null
+++ b/web/public/locales/en/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Username",
+    "password": "Password",
+    "login": "Login",
+    "errors": {
+      "usernameRequired": "Username is required",
+      "passwordRequired": "Password is required",
+      "rateLimit": "Exceeded rate limit. Try again later.",
+      "loginFailed": "Login failed",
+      "unknownError": "Unknown error. Check logs.",
+      "webUnknownError": "Unknown error. Check console logs."
+    }
+  }
+}
diff --git a/web/public/locales/en/components/camera.json b/web/public/locales/en/components/camera.json
new file mode 100644
index 000000000..10513a729
--- /dev/null
+++ b/web/public/locales/en/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Camera Groups",
+    "add": "Add Camera Group",
+    "edit": "Edit Camera Group",
+    "delete": {
+      "label": "Delete Camera Group",
+      "confirm": {
+        "title": "Confirm Delete",
+        "desc": "Are you sure you want to delete the camera group <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Name",
+      "placeholder": "Enter a name…",
+      "errorMessage": {
+        "mustLeastCharacters": "Camera group name must be at least 2 characters.",
+        "exists": "Camera group name already exists.",
+        "nameMustNotPeriod": "Camera group name must not contain a period.",
+        "invalid": "Invalid camera group name."
+      }
+    },
+    "cameras": {
+      "label": "Cameras",
+      "desc": "Select cameras for this group."
+    },
+    "icon": "Icon",
+    "success": "Camera group ({{name}}) has been saved.",
+    "camera": {
+      "setting": {
+        "label": "Camera Streaming Settings",
+        "title": "{{cameraName}} Streaming Settings",
+        "desc": "Change the live streaming options for this camera group's dashboard. <em>These settings are device/browser-specific.</em>",
+        "audioIsAvailable": "Audio is available for this stream",
+        "audioIsUnavailable": "Audio is unavailable for this stream",
+        "audio": {
+          "tips": {
+            "title": "Audio must be output from your camera and configured in go2rtc for this stream.",
+            "document": "Read the documentation "
+          }
+        },
+        "stream": "Stream",
+        "placeholder": "Choose a stream",
+        "streamMethod": {
+          "label": "Streaming Method",
+          "placeholder": "Choose a streaming method",
+          "method": {
+            "noStreaming": {
+              "label": "No Streaming",
+              "desc": "Camera images will only update once per minute and no live streaming will occur."
+            },
+            "smartStreaming": {
+              "label": "Smart Streaming (recommended)",
+              "desc": "Smart streaming will update your camera image once per minute when no detectable activity is occurring to conserve bandwidth and resources. When activity is detected, the image seamlessly switches to a live stream."
+            },
+            "continuousStreaming": {
+              "label": "Continuous Streaming",
+              "desc": {
+                "title": "Camera image will always be a live stream when visible on the dashboard, even if no activity is being detected.",
+                "warning": "Continuous streaming may cause high bandwidth usage and performance issues. Use with caution."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "Compatibility mode",
+          "desc": "Enable this option only if your camera's live stream is displaying color artifacts and has a diagonal line on the right side of the image."
+        }
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Settings",
+      "title": "Options",
+      "showOptions": "Show Options",
+      "hideOptions": "Hide Options"
+    },
+    "boundingBox": "Bounding Box",
+    "timestamp": "Timestamp",
+    "zones": "Zones",
+    "mask": "Mask",
+    "motion": "Motion",
+    "regions": "Regions"
+  }
+}
diff --git a/web/public/locales/en/components/dialog.json b/web/public/locales/en/components/dialog.json
new file mode 100644
index 000000000..8b2dc0b88
--- /dev/null
+++ b/web/public/locales/en/components/dialog.json
@@ -0,0 +1,113 @@
+{
+  "restart": {
+    "title": "Are you sure you want to restart Frigate?",
+    "button": "Restart",
+    "restarting": {
+      "title": "Frigate is Restarting",
+      "content": "This page will reload in {{countdown}} seconds.",
+      "button": "Force Reload Now"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Submit To Frigate+",
+        "desc": "Objects in locations you want to avoid are not false positives. Submitting them as false positives will confuse the model."
+      },
+      "review": {
+        "question": {
+          "label": "Confirm this label for Frigate Plus",
+          "ask_a": "Is this object a <code>{{label}}</code>?",
+          "ask_an": "Is this object an <code>{{label}}</code>?",
+          "ask_full": "Is this object a <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Submitted"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "View in History"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Select from Timeline",
+      "lastHour_one": "Last Hour",
+      "lastHour_other": "Last {{count}} Hours",
+      "custom": "Custom",
+      "start": {
+        "title": "Start Time",
+        "label": "Select Start Time"
+      },
+      "end": {
+        "title": "End Time",
+        "label": "Select End Time"
+      }
+    },
+    "name": {
+      "placeholder": "Name the Export"
+    },
+    "select": "Select",
+    "export": "Export",
+    "selectOrExport": "Select or Export",
+    "toast": {
+      "success": "Successfully started export. View the file in the /exports folder.",
+      "error": {
+        "failed": "Failed to start export: {{error}}",
+        "endTimeMustAfterStartTime": "End time must be after start time",
+        "noVaildTimeSelected": "No valid time range selected"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Save Export",
+      "previewExport": "Preview Export"
+    }
+  },
+  "streaming": {
+    "label": "Stream",
+    "restreaming": {
+      "disabled": "Restreaming is not enabled for this camera.",
+      "desc": {
+        "title": "Set up go2rtc for additional live view options and audio for this camera.",
+        "readTheDocumentation": "Read the documentation"
+      }
+    },
+    "showStats": {
+      "label": "Show stream stats",
+      "desc": "Enable this option to show stream statistics as an overlay on the camera feed."
+    },
+    "debugView": "Debug View"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Save Search",
+      "desc": "Provide a name for this saved search.",
+      "placeholder": "Enter a name for your search",
+      "overwrite": "{{searchName}} already exists. Saving will overwrite the existing value.",
+      "success": "Search ({{searchName}}) has been saved.",
+      "button": {
+        "save": {
+          "label": "Save this search"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Confirm Delete",
+      "desc": {
+        "selected": "Are you sure you want to delete all recorded video associated with this review item?<br /><br />Hold the <em>Shift</em> key to bypass this dialog in the future."
+      },
+      "toast": {
+        "success": "Video footage associated with the selected review items has been deleted successfully.",
+        "error": "Failed to delete: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Export",
+      "markAsReviewed": "Mark as reviewed",
+      "deleteNow": "Delete Now"
+    }
+  }
+}
diff --git a/web/public/locales/en/components/filter.json b/web/public/locales/en/components/filter.json
new file mode 100644
index 000000000..08a0ee2b2
--- /dev/null
+++ b/web/public/locales/en/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "label": "Labels",
+    "all": {
+      "title": "All Labels",
+      "short": "Labels"
+    },
+    "count_one": "{{count}} Label",
+    "count_other": "{{count}} Labels"
+  },
+  "zones": {
+    "label": "Zones",
+    "all": {
+      "title": "All Zones",
+      "short": "Zones"
+    }
+  },
+  "dates": {
+    "selectPreset": "Select a Preset…",
+    "all": {
+      "title": "All Dates",
+      "short": "Dates"
+    }
+  },
+  "more": "More Filters",
+  "reset": {
+    "label": "Reset filters to default values"
+  },
+  "timeRange": "Time Range",
+  "subLabels": {
+    "label": "Sub Labels",
+    "all": "All Sub Labels"
+  },
+  "score": "Score",
+  "estimatedSpeed": "Estimated Speed ({{unit}})",
+  "features": {
+    "label": "Features",
+    "hasSnapshot": "Has a snapshot",
+    "hasVideoClip": "Has a video clip",
+    "submittedToFrigatePlus": {
+      "label": "Submitted to Frigate+",
+      "tips": "You must first filter on tracked objects that have a snapshot.<br /><br />Tracked objects without a snapshot cannot be submitted to Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Sort",
+    "dateAsc": "Date (Ascending)",
+    "dateDesc": "Date (Descending)",
+    "scoreAsc": "Object Score (Ascending)",
+    "scoreDesc": "Object Score (Descending)",
+    "speedAsc": "Estimated Speed (Ascending)",
+    "speedDesc": "Estimated Speed (Descending)",
+    "relevance": "Relevance"
+  },
+  "cameras": {
+    "label": "Cameras Filter",
+    "all": {
+      "title": "All Cameras",
+      "short": "Cameras"
+    }
+  },
+  "review": {
+    "showReviewed": "Show Reviewed"
+  },
+  "motion": {
+    "showMotionOnly": "Show Motion Only"
+  },
+  "explore": {
+    "settings": {
+      "title": "Settings",
+      "defaultView": {
+        "title": "Default View",
+        "desc": "When no filters are selected, display a summary of the most recent tracked objects per label, or display an unfiltered grid.",
+        "summary": "Summary",
+        "unfilteredGrid": "Unfiltered Grid"
+      },
+      "gridColumns": {
+        "title": "Grid Columns",
+        "desc": "Select the number of columns in the grid view."
+      },
+      "searchSource": {
+        "label": "Search Source",
+        "desc": "Choose whether to search the thumbnails or descriptions of your tracked objects.",
+        "options": {
+          "thumbnailImage": "Thumbnail Image",
+          "description": "Description"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Select a date to filter by"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filter log level",
+    "filterBySeverity": "Filter logs by severity",
+    "loading": {
+      "title": "Loading",
+      "desc": "When the log pane is scrolled to the bottom, new logs automatically stream as they are added."
+    },
+    "disableLogStreaming": "Disable log streaming",
+    "allLogs": "All logs"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirm Delete",
+    "desc": "Deleting these {{objectLength}} tracked objects removes the snapshot, any saved embeddings, and any associated object lifecycle entries. Recorded footage of these tracked objects in History view will <em>NOT</em> be deleted.<br /><br />Are you sure you want to proceed?<br /><br />Hold the <em>Shift</em> key to bypass this dialog in the future.",
+    "toast": {
+      "success": "Tracked objects deleted successfully.",
+      "error": "Failed to delete tracked objects: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filter by zone mask"
+  },
+  "recognizedLicensePlates": {
+    "title": "Recognized License Plates",
+    "loadFailed": "Failed to load recognized license plates.",
+    "loading": "Loading recognized license plates…",
+    "placeholder": "Type to search license plates…",
+    "noLicensePlatesFound": "No license plates found.",
+    "selectPlatesFromList": "Select one or more plates from the list."
+  }
+}
diff --git a/web/public/locales/en/components/icons.json b/web/public/locales/en/components/icons.json
new file mode 100644
index 000000000..e7a35a737
--- /dev/null
+++ b/web/public/locales/en/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Select an icon",
+    "search": {
+      "placeholder": "Search for an icon…"
+    }
+  }
+}
diff --git a/web/public/locales/en/components/input.json b/web/public/locales/en/components/input.json
new file mode 100644
index 000000000..7a9e35942
--- /dev/null
+++ b/web/public/locales/en/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Download Video",
+      "toast": {
+        "success": "Your review item video has started downloading."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/en/components/player.json b/web/public/locales/en/components/player.json
new file mode 100644
index 000000000..3b50ff5ed
--- /dev/null
+++ b/web/public/locales/en/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "No recordings found for this time",
+  "noPreviewFound": "No Preview Found",
+  "noPreviewFoundFor": "No Preview Found for {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Submit this frame to Frigate+?",
+    "submit": "Submit"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 or greater is required for this live stream type.",
+  "streamOffline": {
+    "title": "Stream Offline",
+    "desc": "No frames have been received on the {{cameraName}} <code>detect</code> stream, check error logs"
+  },
+  "cameraDisabled": "Camera is disabled",
+  "stats": {
+    "streamType": {
+      "title": "Stream Type:",
+      "short": "Type"
+    },
+    "bandwidth": {
+      "title": "Bandwidth:",
+      "short": "Bandwidth"
+    },
+    "latency": {
+      "title": "Latency:",
+      "value": "{{seconds}} seconds",
+      "short": {
+        "title": "Latency",
+        "value": "{{seconds}} sec"
+      }
+    },
+    "totalFrames": "Total Frames:",
+    "droppedFrames": {
+      "title": "Dropped Frames:",
+      "short": {
+        "title": "Dropped",
+        "value": "{{droppedFrames}} frames"
+      }
+    },
+    "decodedFrames": "Decoded Frames:",
+    "droppedFrameRate": "Dropped Frame Rate:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Successfully submitted frame to Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Failed to submit frame to Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/en/objects.json b/web/public/locales/en/objects.json
new file mode 100644
index 000000000..130bfcc53
--- /dev/null
+++ b/web/public/locales/en/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Person",
+  "bicycle": "Bicycle",
+  "car": "Car",
+  "motorcycle": "Motorcycle",
+  "airplane": "Airplane",
+  "bus": "Bus",
+  "train": "Train",
+  "boat": "Boat",
+  "traffic_light": "Traffic Light",
+  "fire_hydrant": "Fire Hydrant",
+  "street_sign": "Street Sign",
+  "stop_sign": "Stop Sign",
+  "parking_meter": "Parking Meter",
+  "bench": "Bench",
+  "bird": "Bird",
+  "cat": "Cat",
+  "dog": "Dog",
+  "horse": "Horse",
+  "sheep": "Sheep",
+  "cow": "Cow",
+  "elephant": "Elephant",
+  "bear": "Bear",
+  "zebra": "Zebra",
+  "giraffe": "Giraffe",
+  "hat": "Hat",
+  "backpack": "Backpack",
+  "umbrella": "Umbrella",
+  "shoe": "Shoe",
+  "eye_glasses": "Eye Glasses",
+  "handbag": "Handbag",
+  "tie": "Tie",
+  "suitcase": "Suitcase",
+  "frisbee": "Frisbee",
+  "skis": "Skis",
+  "snowboard": "Snowboard",
+  "sports_ball": "Sports Ball",
+  "kite": "Kite",
+  "baseball_bat": "Baseball Bat",
+  "baseball_glove": "Baseball Glove",
+  "skateboard": "Skateboard",
+  "surfboard": "Surfboard",
+  "tennis_racket": "Tennis Racket",
+  "bottle": "Bottle",
+  "plate": "Plate",
+  "wine_glass": "Wine Glass",
+  "cup": "Cup",
+  "fork": "Fork",
+  "knife": "Knife",
+  "spoon": "Spoon",
+  "bowl": "Bowl",
+  "banana": "Banana",
+  "apple": "Apple",
+  "sandwich": "Sandwich",
+  "orange": "Orange",
+  "broccoli": "Broccoli",
+  "carrot": "Carrot",
+  "hot_dog": "Hot Dog",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "cake": "Cake",
+  "chair": "Chair",
+  "couch": "Couch",
+  "potted_plant": "Potted Plant",
+  "bed": "Bed",
+  "mirror": "Mirror",
+  "dining_table": "Dining Table",
+  "window": "Window",
+  "desk": "Desk",
+  "toilet": "Toilet",
+  "door": "Door",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "mouse": "Mouse",
+  "remote": "Remote",
+  "keyboard": "Keyboard",
+  "cell_phone": "Cell Phone",
+  "microwave": "Microwave",
+  "oven": "Oven",
+  "toaster": "Toaster",
+  "sink": "Sink",
+  "refrigerator": "Refrigerator",
+  "blender": "Blender",
+  "book": "Book",
+  "clock": "Clock",
+  "vase": "Vase",
+  "scissors": "Scissors",
+  "teddy_bear": "Teddy Bear",
+  "hair_dryer": "Hair Dryer",
+  "toothbrush": "Toothbrush",
+  "hair_brush": "Hair Brush",
+  "vehicle": "Vehicle",
+  "squirrel": "Squirrel",
+  "deer": "Deer",
+  "animal": "Animal",
+  "bark": "Bark",
+  "fox": "Fox",
+  "goat": "Goat",
+  "rabbit": "Rabbit",
+  "raccoon": "Raccoon",
+  "robot_lawnmower": "Robot Lawnmower",
+  "waste_bin": "Waste Bin",
+  "on_demand": "On Demand",
+  "face": "Face",
+  "license_plate": "License Plate",
+  "package": "Package",
+  "bbq_grill": "BBQ Grill",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/en/views/configEditor.json b/web/public/locales/en/views/configEditor.json
new file mode 100644
index 000000000..ef3035f38
--- /dev/null
+++ b/web/public/locales/en/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Config Editor - Frigate",
+  "configEditor": "Config Editor",
+  "copyConfig": "Copy Config",
+  "saveAndRestart": "Save & Restart",
+  "saveOnly": "Save Only",
+  "confirm": "Exit without saving?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Config copied to clipboard."
+    },
+    "error": {
+      "savingError": "Error saving config"
+    }
+  }
+}
diff --git a/web/public/locales/en/views/events.json b/web/public/locales/en/views/events.json
new file mode 100644
index 000000000..98bc7c422
--- /dev/null
+++ b/web/public/locales/en/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Alerts",
+  "detections": "Detections",
+  "motion": {
+    "label": "Motion",
+    "only": "Motion only"
+  },
+  "allCameras": "All Cameras",
+  "empty": {
+    "alert": "There are no alerts to review",
+    "detection": "There are no detections to review",
+    "motion": "No motion data found"
+  },
+  "timeline": "Timeline",
+  "timeline.aria": "Select timeline",
+  "events": {
+    "label": "Events",
+    "aria": "Select events",
+    "noFoundForTimePeriod": "No events found for this time period."
+  },
+  "documentTitle": "Review - Frigate",
+  "recordings": {
+    "documentTitle": "Recordings - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Last 24 Hours"
+  },
+  "markAsReviewed": "Mark as Reviewed",
+  "markTheseItemsAsReviewed": "Mark these items as reviewed",
+  "newReviewItems": {
+    "label": "View new review items",
+    "button": "New Items To Review"
+  },
+  "selected_one": "{{count}} selected",
+  "selected_other": "{{count}} selected",
+  "camera": "Camera",
+  "detected": "detected"
+}
diff --git a/web/public/locales/en/views/explore.json b/web/public/locales/en/views/explore.json
new file mode 100644
index 000000000..7e2381445
--- /dev/null
+++ b/web/public/locales/en/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "documentTitle": "Explore - Frigate",
+  "generativeAI": "Generative AI",
+  "exploreMore": "Explore more {{label}} objects",
+  "exploreIsUnavailable": {
+    "title": "Explore is Unavailable",
+    "embeddingsReindexing": {
+      "context": "Explore can be used after tracked object embeddings have finished reindexing.",
+      "startingUp": "Starting up…",
+      "estimatedTime": "Estimated time remaining:",
+      "finishingShortly": "Finishing shortly",
+      "step": {
+        "thumbnailsEmbedded": "Thumbnails embedded: ",
+        "descriptionsEmbedded": "Descriptions embedded: ",
+        "trackedObjectsProcessed": "Tracked objects processed: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate is downloading the necessary embeddings models to support the Semantic Search feature. This may take several minutes depending on the speed of your network connection.",
+      "setup": {
+        "visionModel": "Vision model",
+        "visionModelFeatureExtractor": "Vision model feature extractor",
+        "textModel": "Text model",
+        "textTokenizer": "Text tokenizer"
+      },
+      "tips": {
+        "context": "You may want to reindex the embeddings of your tracked objects once the models are downloaded.",
+        "documentation": "Read the documentation"
+      },
+      "error": "An error has occurred. Check Frigate logs."
+    }
+  },
+  "trackedObjectDetails": "Tracked Object Details",
+  "type": {
+    "details": "details",
+    "snapshot": "snapshot",
+    "video": "video",
+    "object_lifecycle": "object lifecycle"
+  },
+  "objectLifecycle": {
+    "title": "Object Lifecycle",
+    "noImageFound": "No image found for this timestamp.",
+    "createObjectMask": "Create Object Mask",
+    "adjustAnnotationSettings": "Adjust annotation settings",
+    "scrollViewTips": "Scroll to view the significant moments of this object's lifecycle.",
+    "autoTrackingTips": "Bounding box positions will be inaccurate for autotracking cameras.",
+    "count": "{{first}} of {{second}}",
+    "trackedPoint": "Tracked Point",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} detected",
+      "entered_zone": "{{label}} entered {{zones}}",
+      "active": "{{label}} became active",
+      "stationary": "{{label}} became stationary",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detected for {{label}}",
+        "other": "{{label}} recognized as {{attribute}}"
+      },
+      "gone": "{{label}} left",
+      "heard": "{{label}} heard",
+      "external": "{{label}} detected",
+      "header": {
+        "zones": "Zones",
+        "ratio": "Ratio",
+        "area": "Area"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annotation Settings",
+      "showAllZones": {
+        "title": "Show All Zones",
+        "desc": "Always show zones on frames where objects have entered a zone."
+      },
+      "offset": {
+        "label": "Annotation Offset",
+        "desc": "This data comes from your camera's detect feed but is overlayed on images from the the record feed. It is unlikely that the two streams are perfectly in sync. As a result, the bounding box and the footage will not line up perfectly. However, the <code>annotation_offset</code> field can be used to adjust this.",
+        "documentation": "Read the documentation ",
+        "millisecondsToOffset": "Milliseconds to offset detect annotations by. <em>Default: 0</em>",
+        "tips": "TIP: Imagine there is an event clip with a person walking from left to right. If the event timeline bounding box is consistently to the left of the person then the value should be decreased. Similarly, if a person is walking from left to right and the bounding box is consistently ahead of the person then the value should be increased.",
+        "toast": {
+          "success": "Annotation offset for {{camera}} has been saved to the config file. Restart Frigate to apply your changes."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Previous slide",
+      "next": "Next slide"
+    }
+  },
+  "details": {
+    "item": {
+      "title": "Review Item Details",
+      "desc": "Review item details",
+      "button": {
+        "share": "Share this review item",
+        "viewInExplore": "View in Explore"
+      },
+      "tips": {
+        "mismatch_one": "{{count}} unavailable object was detected and included in this review item. Those objects either did not qualify as an alert or detection or have already been cleaned up/deleted.",
+        "mismatch_other": "{{count}} unavailable objects were detected and included in this review item. Those objects either did not qualify as an alert or detection or have already been cleaned up/deleted.",
+        "hasMissingObjects": "Adjust your configuration if you want Frigate to save tracked objects for the following labels: <em>{{objects}}</em>"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "A new description has been requested from {{provider}}. Depending on the speed of your provider, the new description may take some time to regenerate.",
+          "updatedSublabel": "Successfully updated sub label.",
+          "updatedLPR": "Successfully updated license plate."
+        },
+        "error": {
+          "regenerate": "Failed to call {{provider}} for a new description: {{errorMessage}}",
+          "updatedSublabelFailed": "Failed to update sub label: {{errorMessage}}",
+          "updatedLPRFailed": "Failed to update license plate: {{errorMessage}}"
+        }
+      }
+    },
+    "label": "Label",
+    "editSubLabel": {
+      "title": "Edit sub label",
+      "desc": "Enter a new sub label for this {{label}}",
+      "descNoLabel": "Enter a new sub label for this tracked object"
+    },
+    "editLPR": {
+      "title": "Edit license plate",
+      "desc": "Enter a new license plate value for this {{label}}",
+      "descNoLabel": "Enter a new license plate value for this tracked object"
+    },
+    "snapshotScore": {
+      "label": "Snapshot Score"
+    },
+    "topScore": {
+      "label": "Top Score",
+      "info": "The top score is the highest median score for the tracked object, so this may differ from the score shown on the search result thumbnail."
+    },
+    "recognizedLicensePlate": "Recognized License Plate",
+    "estimatedSpeed": "Estimated Speed",
+    "objects": "Objects",
+    "camera": "Camera",
+    "zones": "Zones",
+    "timestamp": "Timestamp",
+    "button": {
+      "findSimilar": "Find Similar",
+      "regenerate": {
+        "title": "Regenerate",
+        "label": "Regenerate tracked object description"
+      }
+    },
+    "description": {
+      "label": "Description",
+      "placeholder": "Description of the tracked object",
+      "aiTips": "Frigate will not request a description from your Generative AI provider until the tracked object's lifecycle has ended."
+    },
+    "expandRegenerationMenu": "Expand regeneration menu",
+    "regenerateFromSnapshot": "Regenerate from Snapshot",
+    "regenerateFromThumbnails": "Regenerate from Thumbnails",
+    "tips": {
+      "descriptionSaved": "Successfully saved description",
+      "saveDescriptionFailed": "Failed to update the description: {{errorMessage}}"
+    }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Download video",
+      "aria": "Download video"
+    },
+    "downloadSnapshot": {
+      "label": "Download snapshot",
+      "aria": "Download snapshot"
+    },
+    "viewObjectLifecycle": {
+      "label": "View object lifecycle",
+      "aria": "Show the object lifecycle"
+    },
+    "findSimilar": {
+      "label": "Find similar",
+      "aria": "Find similar tracked objects"
+    },
+    "submitToPlus": {
+      "label": "Submit to Frigate+",
+      "aria": "Submit to Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "View in History",
+      "aria": "View in History"
+    },
+    "deleteTrackedObject": {
+      "label": "Delete this tracked object"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirm Delete",
+      "desc": "Deleting this tracked object removes the snapshot, any saved embeddings, and any associated object lifecycle entries. Recorded footage of this tracked object in History view will <em>NOT</em> be deleted.<br /><br />Are you sure you want to proceed?"
+    }
+  },
+  "noTrackedObjects": "No Tracked Objects Found",
+  "fetchingTrackedObjectsFailed": "Error fetching tracked objects: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} tracked object ",
+  "trackedObjectsCount_other": "{{count}} tracked objects ",
+  "searchResult": {
+    "tooltip": "Matched {{type}} at {{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Tracked object deleted successfully.",
+        "error": "Failed to delete tracked object: {{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/en/views/exports.json b/web/public/locales/en/views/exports.json
new file mode 100644
index 000000000..729899443
--- /dev/null
+++ b/web/public/locales/en/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Export - Frigate",
+  "search": "Search",
+  "noExports": "No exports found",
+  "deleteExport": "Delete Export",
+  "deleteExport.desc": "Are you sure you want to delete {{exportName}}?",
+  "editExport": {
+    "title": "Rename Export",
+    "desc": "Enter a new name for this export.",
+    "saveExport": "Save Export"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Failed to rename export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/en/views/faceLibrary.json b/web/public/locales/en/views/faceLibrary.json
new file mode 100644
index 000000000..e734ca974
--- /dev/null
+++ b/web/public/locales/en/views/faceLibrary.json
@@ -0,0 +1,100 @@
+{
+  "description": {
+    "addFace": "Walk through adding a new collection to the Face Library.",
+    "placeholder": "Enter a name for this collection",
+    "invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens."
+  },
+  "details": {
+    "person": "Person",
+    "subLabelScore": "Sub Label Score",
+    "scoreInfo": "The sub label score is the weighted score for all of the recognized face confidences, so this may differ from the score shown on the snapshot.",
+    "face": "Face Details",
+    "faceDesc": "Details of the tracked object that generated this face",
+    "timestamp": "Timestamp",
+    "unknown": "Unknown"
+  },
+  "documentTitle": "Face Library - Frigate",
+  "uploadFaceImage": {
+    "title": "Upload Face Image",
+    "desc": "Upload an image to scan for faces and include for {{pageToggle}}"
+  },
+  "collections": "Collections",
+  "createFaceLibrary": {
+    "title": "Create Collection",
+    "desc": "Create a new collection",
+    "new": "Create New Face",
+    "nextSteps": "To build a strong foundation:<li>Use the Train tab to select and train on images for each detected person.</li><li>Focus on straight-on images for best results; avoid training images that capture faces at an angle.</li></ul>"
+  },
+  "steps": {
+    "faceName": "Enter Face Name",
+    "uploadFace": "Upload Face Image",
+    "nextSteps": "Next Steps",
+    "description": {
+      "uploadFace": "Upload an image of {{name}} that shows their face from a front-facing angle. The image does not need to be cropped to just their face."
+    }
+  },
+  "train": {
+    "title": "Train",
+    "aria": "Select train",
+    "empty": "There are no recent face recognition attempts"
+  },
+  "selectItem": "Select {{item}}",
+  "selectFace": "Select Face",
+  "deleteFaceLibrary": {
+    "title": "Delete Name",
+    "desc": "Are you sure you want to delete the collection {{name}}? This will permanently delete all associated faces."
+  },
+  "deleteFaceAttempts": {
+    "title": "Delete Faces",
+    "desc_one": "Are you sure you want to delete {{count}} face? This action cannot be undone.",
+    "desc_other": "Are you sure you want to delete {{count}} faces? This action cannot be undone."
+  },
+  "renameFace": {
+    "title": "Rename Face",
+    "desc": "Enter a new name for {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Delete Faces",
+    "addFace": "Add Face",
+    "renameFace": "Rename Face",
+    "deleteFace": "Delete Face",
+    "uploadImage": "Upload Image",
+    "reprocessFace": "Reprocess Face"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Please select an image file."
+    },
+    "dropActive": "Drop the image here…",
+    "dropInstructions": "Drag and drop an image here, or click to select",
+    "maxSize": "Max size: {{size}}MB"
+  },
+  "nofaces": "No faces available",
+  "pixels": "{{area}}px",
+  "readTheDocs": "Read the documentation",
+  "trainFaceAs": "Train Face as:",
+  "trainFace": "Train Face",
+  "toast": {
+    "success": {
+      "uploadedImage": "Successfully uploaded image.",
+      "addFaceLibrary": "{{name}} has successfully been added to the Face Library!",
+      "deletedFace_one": "Successfully deleted {{count}} face.",
+      "deletedFace_other": "Successfully deleted {{count}} faces.",
+      "deletedName_zero": "Empty collection deleted successfully.",
+      "deletedName_one": "{{count}} face has been successfully deleted.",
+      "deletedName_other": "{{count}} faces have been successfully deleted.",
+      "renamedFace": "Successfully renamed face to {{name}}",
+      "trainedFace": "Successfully trained face.",
+      "updatedFaceScore": "Successfully updated face score."
+    },
+    "error": {
+      "uploadingImageFailed": "Failed to upload image: {{errorMessage}}",
+      "addFaceLibraryFailed": "Failed to set face name: {{errorMessage}}",
+      "deleteFaceFailed": "Failed to delete: {{errorMessage}}",
+      "deleteNameFailed": "Failed to delete name: {{errorMessage}}",
+      "renameFaceFailed": "Failed to rename face: {{errorMessage}}",
+      "trainFailed": "Failed to train: {{errorMessage}}",
+      "updateFaceScoreFailed": "Failed to update face score: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/en/views/live.json b/web/public/locales/en/views/live.json
new file mode 100644
index 000000000..1790467d2
--- /dev/null
+++ b/web/public/locales/en/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Live - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Live - Frigate",
+  "lowBandwidthMode": "Low-bandwidth Mode",
+  "twoWayTalk": {
+    "enable": "Enable Two Way Talk",
+    "disable": "Disable Two Way Talk"
+  },
+  "cameraAudio": {
+    "enable": "Enable Camera Audio",
+    "disable": "Disable Camera Audio"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Click in the frame to center the camera",
+        "enable": "Enable click to move",
+        "disable": "Disable click to move"
+      },
+      "left": {
+        "label": "Move PTZ camera to the left"
+      },
+      "up": {
+        "label": "Move PTZ camera up"
+      },
+      "down": {
+        "label": "Move PTZ camera down"
+      },
+      "right": {
+        "label": "Move PTZ camera to the right"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Zoom PTZ camera in"
+      },
+      "out": {
+        "label": "Zoom PTZ camera out"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Click in the frame to center the PTZ camera"
+      }
+    },
+    "presets": "PTZ camera presets"
+  },
+  "camera": {
+    "enable": "Enable Camera",
+    "disable": "Disable Camera"
+  },
+  "muteCameras": {
+    "enable": "Mute All Cameras",
+    "disable": "Unmute All Cameras"
+  },
+  "detect": {
+    "enable": "Enable Detect",
+    "disable": "Disable Detect"
+  },
+  "recording": {
+    "enable": "Enable Recording",
+    "disable": "Disable Recording"
+  },
+  "snapshots": {
+    "enable": "Enable Snapshots",
+    "disable": "Disable Snapshots"
+  },
+  "audioDetect": {
+    "enable": "Enable Audio Detect",
+    "disable": "Disable Audio Detect"
+  },
+  "autotracking": {
+    "enable": "Enable Autotracking",
+    "disable": "Disable Autotracking"
+  },
+  "streamStats": {
+    "enable": "Show Stream Stats",
+    "disable": "Hide Stream Stats"
+  },
+  "manualRecording": {
+    "title": "On-Demand Recording",
+    "tips": "Start a manual event based on this camera's recording retention settings.",
+    "playInBackground": {
+      "label": "Play in background",
+      "desc": "Enable this option to continue streaming when the player is hidden."
+    },
+    "showStats": {
+      "label": "Show Stats",
+      "desc": "Enable this option to show stream statistics as an overlay on the camera feed."
+    },
+    "debugView": "Debug View",
+    "start": "Start on-demand recording",
+    "started": "Started manual on-demand recording.",
+    "failedToStart": "Failed to start manual on-demand recording.",
+    "recordDisabledTips": "Since recording is disabled or restricted in the config for this camera, only a snapshot will be saved.",
+    "end": "End on-demand recording",
+    "ended": "Ended manual on-demand recording.",
+    "failedToEnd": "Failed to end manual on-demand recording."
+  },
+  "streamingSettings": "Streaming Settings",
+  "notifications": "Notifications",
+  "audio": "Audio",
+  "suspend": {
+    "forTime": "Suspend for: "
+  },
+  "stream": {
+    "title": "Stream",
+    "audio": {
+      "tips": {
+        "title": "Audio must be output from your camera and configured in go2rtc for this stream.",
+        "documentation": "Read the documentation "
+      },
+      "available": "Audio is available for this stream",
+      "unavailable": "Audio is not available for this stream"
+    },
+    "twoWayTalk": {
+      "tips": "Your device must support the feature and WebRTC must be configured for two-way talk.",
+      "tips.documentation": "Read the documentation ",
+      "available": "Two-way talk is available for this stream",
+      "unavailable": "Two-way talk is unavailable for this stream"
+    },
+    "lowBandwidth": {
+      "tips": "Live view is in low-bandwidth mode due to buffering or stream errors.",
+      "resetStream": "Reset stream"
+    },
+    "playInBackground": {
+      "label": "Play in background",
+      "tips": "Enable this option to continue streaming when the player is hidden."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Settings",
+    "cameraEnabled": "Camera Enabled",
+    "objectDetection": "Object Detection",
+    "recording": "Recording",
+    "snapshots": "Snapshots",
+    "audioDetection": "Audio Detection",
+    "autotracking": "Autotracking"
+  },
+  "history": {
+    "label": "Show historical footage"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "All",
+      "motion": "Motion",
+      "active_objects": "Active Objects"
+    },
+    "notAllTips": "Your {{source}} recording retention configuration is set to <code>mode: {{effectiveRetainMode}}</code>, so this on-demand recording will only keep segments with {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Edit Layout",
+    "group": {
+      "label": "Edit Camera Group"
+    },
+    "exitEdit": "Exit Editing"
+  }
+}
diff --git a/web/public/locales/en/views/recording.json b/web/public/locales/en/views/recording.json
new file mode 100644
index 000000000..9ca7c43e8
--- /dev/null
+++ b/web/public/locales/en/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Export",
+  "calendar": "Calendar",
+  "filter": "Filter",
+  "filters": "Filters",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "No valid time range selected",
+      "endTimeMustAfterStartTime": "End time must be after start time"
+    }
+  }
+}
diff --git a/web/public/locales/en/views/search.json b/web/public/locales/en/views/search.json
new file mode 100644
index 000000000..22da7721f
--- /dev/null
+++ b/web/public/locales/en/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Search",
+  "savedSearches": "Saved Searches",
+  "searchFor": "Search for {{inputValue}}",
+  "button": {
+    "clear": "Clear search",
+    "save": "Save search",
+    "delete": "Delete saved search",
+    "filterInformation": "Filter information",
+    "filterActive": "Filters active"
+  },
+  "trackedObjectId": "Tracked Object ID",
+  "filter": {
+    "label": {
+      "cameras": "Cameras",
+      "labels": "Labels",
+      "zones": "Zones",
+      "sub_labels": "Sub Labels",
+      "search_type": "Search Type",
+      "time_range": "Time Range",
+      "before": "Before",
+      "after": "After",
+      "min_score": "Min Score",
+      "max_score": "Max Score",
+      "min_speed": "Min Speed",
+      "max_speed": "Max Speed",
+      "recognized_license_plate": "Recognized License Plate",
+      "has_clip": "Has Clip",
+      "has_snapshot": "Has Snapshot"
+    },
+    "searchType": {
+      "thumbnail": "Thumbnail",
+      "description": "Description"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "The 'before' date must be later than the 'after' date.",
+        "afterDatebeEarlierBefore": "The 'after' date must be earlier than the 'before' date.",
+        "minScoreMustBeLessOrEqualMaxScore": "The 'min_score' must be less than or equal to the 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "The 'max_score' must be greater than or equal to the 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "The 'min_speed' must be less than or equal to the 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "The 'max_speed' must be greater than or equal to the 'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "How to use text filters",
+      "desc": {
+        "text": "Filters help you narrow down your search results. Here's how to use them in the input field:",
+        "step1": "Type a filter key name followed by a colon (e.g., \"cameras:\").",
+        "step2": "Select a value from the suggestions or type your own.",
+        "step3": "Use multiple filters by adding them one after another with a space in between.",
+        "step4": "Date filters (before: and after:) use {{DateFormat}} format.",
+        "step5": "Time range filter uses {{exampleTime}} format.",
+        "step6": "Remove filters by clicking the 'x' next to them.",
+        "exampleLabel": "Example:"
+      }
+    },
+    "header": {
+      "currentFilterType": "Filter Values",
+      "noFilters": "Filters",
+      "activeFilters": "Active Filters"
+    }
+  },
+  "similaritySearch": {
+    "title": "Similarity Search",
+    "active": "Similarity search active",
+    "clear": "Clear similarity search"
+  },
+  "placeholder": {
+    "search": "Search…"
+  }
+}
diff --git a/web/public/locales/en/views/settings.json b/web/public/locales/en/views/settings.json
new file mode 100644
index 000000000..2b92e81cd
--- /dev/null
+++ b/web/public/locales/en/views/settings.json
@@ -0,0 +1,619 @@
+{
+  "documentTitle": {
+    "default": "Settings - Frigate",
+    "authentication": "Authentication Settings - Frigate",
+    "camera": "Camera Settings - Frigate",
+    "enrichments": "Enrichments Settings - Frigate",
+    "masksAndZones": "Mask and Zone Editor - Frigate",
+    "motionTuner": "Motion Tuner - Frigate",
+    "object": "Debug - Frigate",
+    "general": "General Settings - Frigate",
+    "frigatePlus": "Frigate+ Settings - Frigate",
+    "notifications": "Notification Settings - Frigate"
+  },
+  "menu": {
+    "ui": "UI",
+    "enrichments": "Enrichments",
+    "cameras": "Camera Settings",
+    "masksAndZones": "Masks / Zones",
+    "motionTuner": "Motion Tuner",
+    "debug": "Debug",
+    "users": "Users",
+    "notifications": "Notifications",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "You have unsaved changes.",
+      "desc": "Do you want to save your changes before continuing?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Camera",
+    "noCamera": "No Camera"
+  },
+  "general": {
+    "title": "General Settings",
+    "liveDashboard": {
+      "title": "Live Dashboard",
+      "automaticLiveView": {
+        "label": "Automatic Live View",
+        "desc": "Automatically switch to a camera's live view when activity is detected. Disabling this option causes static camera images on the Live dashboard to only update once per minute."
+      },
+      "playAlertVideos": {
+        "label": "Play Alert Videos",
+        "desc": "By default, recent alerts on the Live dashboard play as small looping videos. Disable this option to only show a static image of recent alerts on this device/browser."
+      }
+    },
+    "storedLayouts": {
+      "title": "Stored Layouts",
+      "desc": "The layout of cameras in a camera group can be dragged/resized. The positions are stored in your browser's local storage.",
+      "clearAll": "Clear All Layouts"
+    },
+    "cameraGroupStreaming": {
+      "title": "Camera Group Streaming Settings",
+      "desc": "Streaming settings for each camera group are stored in your browser's local storage.",
+      "clearAll": "Clear All Streaming Settings"
+    },
+    "recordingsViewer": {
+      "title": "Recordings Viewer",
+      "defaultPlaybackRate": {
+        "label": "Default Playback Rate",
+        "desc": "Default playback rate for recordings playback."
+      }
+    },
+    "calendar": {
+      "title": "Calendar",
+      "firstWeekday": {
+        "label": "First Weekday",
+        "desc": "The day that the weeks of the review calendar begin on.",
+        "sunday": "Sunday",
+        "monday": "Monday"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Cleared stored layout for {{cameraName}}",
+        "clearStreamingSettings": "Cleared streaming settings for all camera groups."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Failed to clear stored layout: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Failed to clear streaming settings: {{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "title": "Enrichments Settings",
+    "unsavedChanges": "Unsaved Enrichments settings changes",
+    "birdClassification": {
+      "title": "Bird Classification",
+      "desc": "Bird classification identifies known birds using a quantized Tensorflow model. When a known bird is recognized, its common name will be added as a sub_label. This information is included in the UI, filters, as well as in notifications."
+    },
+    "semanticSearch": {
+      "title": "Semantic Search",
+      "desc": "Semantic Search in Frigate allows you to find tracked objects within your review items using either the image itself, a user-defined text description, or an automatically generated one.",
+      "readTheDocumentation": "Read the Documentation",
+      "reindexNow": {
+        "label": "Reindex Now",
+        "desc": "Reindexing will regenerate embeddings for all tracked object. This process runs in the background and may max out your CPU and take a fair amount of time depending on the number of tracked objects you have.",
+        "confirmTitle": "Confirm Reindexing",
+        "confirmDesc": "Are you sure you want to reindex all tracked object embeddings? This process will run in the background but it may max out your CPU and take a fair amount of time. You can watch the progress on the Explore page.",
+        "confirmButton": "Reindex",
+        "success": "Reindexing started successfully.",
+        "alreadyInProgress": "Reindexing is already in progress.",
+        "error": "Failed to start reindexing: {{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "Model Size",
+        "desc": "The size of the model used for semantic search embeddings.",
+        "small": {
+          "title": "small",
+          "desc": "Using <em>small</em> employs a quantized version of the model that uses less RAM and runs faster on CPU with a very negligible difference in embedding quality."
+        },
+        "large": {
+          "title": "large",
+          "desc": "Using <em>large</em> employs the full Jina model and will automatically run on the GPU if applicable."
+        }
+      }
+    },
+    "faceRecognition": {
+      "title": "Face Recognition",
+      "desc": "Face recognition allows people to be assigned names and when their face is recognized Frigate will assign the person's name as a sub label. This information is included in the UI, filters, as well as in notifications.",
+      "readTheDocumentation": "Read the Documentation",
+      "modelSize": {
+        "label": "Model Size",
+        "desc": "The size of the model used for face recognition.",
+        "small": {
+          "title": "small",
+          "desc": "Using <em>small</em> employs a FaceNet face embedding model that runs efficiently on most CPUs."
+        },
+        "large": {
+          "title": "large",
+          "desc": "Using <em>large</em> employs an ArcFace face embedding model and will automatically run on the GPU if applicable."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "License Plate Recognition",
+      "desc": "Frigate can recognize license plates on vehicles and automatically add the detected characters to the recognized_license_plate field or a known name as a sub_label to objects that are of type car. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.",
+      "readTheDocumentation": "Read the Documentation"
+    },
+    "restart_required": "Restart required (Enrichments settings changed)",
+    "toast": {
+      "success": "Enrichments settings have been saved. Restart Frigate to apply your changes.",
+      "error": "Failed to save config changes: {{errorMessage}}"
+    }
+  },
+  "camera": {
+    "title": "Camera Settings",
+    "streams": {
+      "title": "Streams",
+      "desc": "Temporarily disable a camera until Frigate restarts. Disabling a camera completely stops Frigate's processing of this camera's streams. Detection, recording, and debugging will be unavailable.<br /> <em>Note: This does not disable go2rtc restreams.</em>"
+    },
+    "review": {
+      "title": "Review",
+      "desc": "Temporarily enable/disable alerts and detections for this camera until Frigate restarts. When disabled, no new review items will be generated. ",
+      "alerts": "Alerts ",
+      "detections": "Detections "
+    },
+    "reviewClassification": {
+      "title": "Review Classification",
+      "desc": "Frigate categorizes review items as Alerts and Detections. By default, all <em>person</em> and <em>car</em> objects are considered Alerts. You can refine categorization of your review items by configuring required zones for them.",
+      "readTheDocumentation": "Read the Documentation",
+      "noDefinedZones": "No zones are defined for this camera.",
+      "objectAlertsTips": "All {{alertsLabels}} objects on {{cameraName}} will be shown as Alerts.",
+      "zoneObjectAlertsTips": "All {{alertsLabels}} objects detected in {{zone}} on {{cameraName}} will be shown as Alerts.",
+      "objectDetectionsTips": "All {{detectionsLabels}} objects not categorized on {{cameraName}} will be shown as Detections regardless of which zone they are in.",
+      "zoneObjectDetectionsTips": {
+        "text": "All {{detectionsLabels}} objects not categorized in {{zone}} on {{cameraName}} will be shown as Detections.",
+        "notSelectDetections": "All {{detectionsLabels}} objects detected in {{zone}} on {{cameraName}} not categorized as Alerts will be shown as Detections regardless of which zone they are in.",
+        "regardlessOfZoneObjectDetectionsTips": "All {{detectionsLabels}} objects not categorized on {{cameraName}} will be shown as Detections regardless of which zone they are in."
+      },
+      "unsavedChanges": "Unsaved Review Classification settings for {{camera}}",
+      "selectAlertsZones": "Select zones for Alerts",
+      "selectDetectionsZones": "Select zones for Detections",
+      "limitDetections": "Limit detections to specific zones",
+      "toast": {
+        "success": "Review Classification configuration has been saved. Restart Frigate to apply changes."
+      }
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "All Masks and Zones"
+    },
+    "restart_required": "Restart required (masks/zones changed)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "Copied coordinates for {{polyName}} to clipboard."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Could not copy coordinates to clipboard."
+      }
+    },
+    "motionMaskLabel": "Motion Mask {{number}}",
+    "objectMaskLabel": "Object Mask {{number}} ({{label}})",
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Zone name must be at least 2 characters.",
+          "mustNotBeSameWithCamera": "Zone name must not be the same as camera name.",
+          "alreadyExists": "A zone with this name already exists for this camera.",
+          "mustNotContainPeriod": "Zone name must not contain periods.",
+          "hasIllegalCharacter": "Zone name contains illegal characters."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Distance must be greater than or equal to 0.1.",
+          "mustBeFilled": "All distance fields must be filled to use speed estimation."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Inertia must be above 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Loitering time must be greater than or equal to 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Speed threshold must greater than or equal to 0.1."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Remove last point",
+        "reset": {
+          "label": "Clear all points"
+        },
+        "snapPoints": {
+          "true": "Snap points",
+          "false": "Don't Snap points"
+        },
+        "delete": {
+          "title": "Confirm Delete",
+          "desc": "Are you sure you want to delete the {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} has been deleted."
+        },
+        "error": {
+          "mustBeFinished": "Polygon drawing must be finished before saving."
+        }
+      }
+    },
+    "zones": {
+      "label": "Zones",
+      "documentTitle": "Edit Zone - Frigate",
+      "desc": {
+        "title": "Zones allow you to define a specific area of the frame so you can determine whether or not an object is within a particular area.",
+        "documentation": "Documentation"
+      },
+      "add": "Add Zone",
+      "edit": "Edit Zone",
+      "point_one": "{{count}} point",
+      "point_other": "{{count}} points",
+      "clickDrawPolygon": "Click to draw a polygon on the image.",
+      "name": {
+        "title": "Name",
+        "inputPlaceHolder": "Enter a name…",
+        "tips": "Name must be at least 2 characters and must not be the name of a camera or another zone."
+      },
+      "inertia": {
+        "title": "Inertia",
+        "desc": "Specifies how many frames that an object must be in a zone before they are considered in the zone. <em>Default: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Loitering Time",
+        "desc": "Sets a minimum amount of time in seconds that the object must be in the zone for it to activate. <em>Default: 0</em>"
+      },
+      "objects": {
+        "title": "Objects",
+        "desc": "List of objects that apply to this zone."
+      },
+      "allObjects": "All Objects",
+      "speedEstimation": {
+        "title": "Speed Estimation",
+        "desc": "Enable speed estimation for objects in this zone. The zone must have exactly 4 points.",
+        "docs": "Read the documentation",
+        "lineADistance": "Line A distance ({{unit}})",
+        "lineBDistance": "Line B distance ({{unit}})",
+        "lineCDistance": "Line C distance ({{unit}})",
+        "lineDDistance": "Line D distance ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Speed Threshold ({{unit}})",
+        "desc": "Specifies a minimum speed for objects to be considered in this zone.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Speed estimation has been disabled for this zone. Zones with speed estimation must have exactly 4 points.",
+            "loiteringTimeError": "Zones with loitering times greater than 0 should not be used with speed estimation."
+          }
+        }
+      },
+      "toast": {
+        "success": "Zone ({{zoneName}}) has been saved. Restart Frigate to apply changes."
+      }
+    },
+    "motionMasks": {
+      "label": "Motion Mask",
+      "documentTitle": "Edit Motion Mask - Frigate",
+      "desc": {
+        "title": "Motion masks are used to prevent unwanted types of motion from triggering detection. Over masking will make it more difficult for objects to be tracked.",
+        "documentation": "Documentation"
+      },
+      "add": "New Motion Mask",
+      "edit": "Edit Motion Mask",
+      "context": {
+        "title": "Motion masks are used to prevent unwanted types of motion from triggering detection (example: tree branches, camera timestamps). Motion masks should be used <em>very sparingly</em>, over-masking will make it more difficult for objects to be tracked.",
+        "documentation": "Read the documentation"
+      },
+      "point_one": "{{count}} point",
+      "point_other": "{{count}} points",
+      "clickDrawPolygon": "Click to draw a polygon on the image.",
+      "polygonAreaTooLarge": {
+        "title": "The motion mask is covering {{polygonArea}}% of the camera frame. Large motion masks are not recommended.",
+        "tips": "Motion masks do not prevent objects from being detected. You should use a required zone instead.",
+        "documentation": "Read the documentation"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} has been saved. Restart Frigate to apply changes.",
+          "noName": "Motion Mask has been saved. Restart Frigate to apply changes."
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "Object Masks",
+      "documentTitle": "Edit Object Mask - Frigate",
+      "desc": {
+        "title": "Object filter masks are used to filter out false positives for a given object type based on location.",
+        "documentation": "Documentation"
+      },
+      "add": "Add Object Mask",
+      "edit": "Edit Object Mask",
+      "context": "Object filter masks are used to filter out false positives for a given object type based on location.",
+      "point_one": "{{count}} point",
+      "point_other": "{{count}} points",
+      "clickDrawPolygon": "Click to draw a polygon on the image.",
+      "objects": {
+        "title": "Objects",
+        "desc": "The object type that applies to this object mask.",
+        "allObjectTypes": "All object types"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} has been saved. Restart Frigate to apply changes.",
+          "noName": "Object Mask has been saved. Restart Frigate to apply changes."
+        }
+      }
+    }
+  },
+  "motionDetectionTuner": {
+    "title": "Motion Detection Tuner",
+    "unsavedChanges": "Unsaved Motion Tuner changes ({{camera}})",
+    "desc": {
+      "title": "Frigate uses motion detection as a first line check to see if there is anything happening in the frame worth checking with object detection.",
+      "documentation": "Read the Motion Tuning Guide"
+    },
+    "Threshold": {
+      "title": "Threshold",
+      "desc": "The threshold value dictates how much of a change in a pixel's luminance is required to be considered motion. <em>Default: 30</em>"
+    },
+    "contourArea": {
+      "title": "Contour Area",
+      "desc": "The contour area value is used to decide which groups of changed pixels qualify as motion. <em>Default: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Improve Contrast",
+      "desc": "Improve contrast for darker scenes. <em>Default: ON</em>"
+    },
+    "toast": {
+      "success": "Motion settings have been saved."
+    }
+  },
+  "debug": {
+    "title": "Debug",
+    "detectorDesc": "Frigate uses your detectors ({{detectors}}) to detect objects in your camera's video stream.",
+    "desc": "Debugging view shows a real-time view of tracked objects and their statistics. The object list shows a time-delayed summary of detected objects.",
+    "debugging": "Debugging",
+    "objectList": "Object List",
+    "noObjects": "No objects",
+    "boundingBoxes": {
+      "title": "Bounding boxes",
+      "desc": "Show bounding boxes around tracked objects",
+      "colors": {
+        "label": "Object Bounding Box Colors",
+        "info": "<li>At startup, different colors will be assigned to each object label</li><li>A dark blue thin line indicates that object is not detected at this current point in time</li><li>A gray thin line indicates that object is detected as being stationary</li><li>A thick line indicates that object is the subject of autotracking (when enabled)</li>"
+      }
+    },
+    "timestamp": {
+      "title": "Timestamp",
+      "desc": "Overlay a timestamp on the image"
+    },
+    "zones": {
+      "title": "Zones",
+      "desc": "Show an outline of any defined zones"
+    },
+    "mask": {
+      "title": "Motion masks",
+      "desc": "Show motion mask polygons"
+    },
+    "motion": {
+      "title": "Motion boxes",
+      "desc": "Show boxes around areas where motion is detected",
+      "tips": "<p><strong>Motion Boxes</strong></p><br><p>Red boxes will be overlaid on areas of the frame where motion is currently being detected</p>"
+    },
+    "regions": {
+      "title": "Regions",
+      "desc": "Show a box of the region of interest sent to the object detector",
+      "tips": "<p><strong>Region Boxes</strong></p><br><p>Bright green boxes will be overlaid on areas of interest in the frame that are being sent to the object detector.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Object Shape Filter Drawing",
+      "desc": "Draw a rectangle on the image to view area and ratio details",
+      "tips": "Enable this option to draw a rectangle on the camera image to show its area and ratio. These values can then be used to set object shape filter parameters in your config.",
+      "document": "Read the documentation ",
+      "score": "Score",
+      "ratio": "Ratio",
+      "area": "Area"
+    }
+  },
+  "users": {
+    "title": "Users",
+    "management": {
+      "title": "User Management",
+      "desc": "Manage this Frigate instance's user accounts."
+    },
+    "addUser": "Add User",
+    "updatePassword": "Update Password",
+    "toast": {
+      "success": {
+        "createUser": "User {{user}} created successfully",
+        "deleteUser": "User {{user}} deleted successfully",
+        "updatePassword": "Password updated successfully.",
+        "roleUpdated": "Role updated for {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Failed to save password: {{errorMessage}}",
+        "createUserFailed": "Failed to create user: {{errorMessage}}",
+        "deleteUserFailed": "Failed to delete user: {{errorMessage}}",
+        "roleUpdateFailed": "Failed to update role: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Username",
+      "actions": "Actions",
+      "role": "Role",
+      "noUsers": "No users found.",
+      "changeRole": "Change user role",
+      "password": "Password",
+      "deleteUser": "Delete user"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Username",
+          "desc": "Only letters, numbers, periods and underscores allowed.",
+          "placeholder": "Enter username"
+        },
+        "password": {
+          "title": "Password",
+          "placeholder": "Enter password",
+          "confirm": {
+            "title": "Confirm Password",
+            "placeholder": "Confirm Password"
+          },
+          "strength": {
+            "title": "Password strength: ",
+            "weak": "Weak",
+            "medium": "Medium",
+            "strong": "Strong",
+            "veryStrong": "Very Strong"
+          },
+          "match": "Passwords match",
+          "notMatch": "Passwords don't match"
+        },
+        "newPassword": {
+          "title": "New Password",
+          "placeholder": "Enter new password",
+          "confirm": {
+            "placeholder": "Re-enter new password"
+          }
+        },
+        "usernameIsRequired": "Username is required",
+        "passwordIsRequired": "Password is required"
+      },
+      "createUser": {
+        "title": "Create New User",
+        "desc": "Add a new user account and specify an role for access to areas of the Frigate UI.",
+        "usernameOnlyInclude": "Username may only include letters, numbers, . or _",
+        "confirmPassword": "Please confirm your password"
+      },
+      "deleteUser": {
+        "title": "Delete User",
+        "desc": "This action cannot be undone. This will permanently delete the user account and remove all associated data.",
+        "warn": "Are you sure you want to delete <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "Password cannot be empty",
+        "doNotMatch": "Passwords do not match",
+        "updatePassword": "Update Password for {{username}}",
+        "setPassword": "Set Password",
+        "desc": "Create a strong password to secure this account."
+      },
+      "changeRole": {
+        "title": "Change User Role",
+        "select": "Select a role",
+        "desc": "Update permissions for <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Select the appropriate role for this user:",
+          "admin": "Admin",
+          "adminDesc": "Full access to all features.",
+          "viewer": "Viewer",
+          "viewerDesc": "Limited to Live dashboards, Review, Explore, and Exports only."
+        }
+      }
+    }
+  },
+  "notification": {
+    "title": "Notifications",
+    "notificationSettings": {
+      "title": "Notification Settings",
+      "desc": "Frigate can natively send push notifications to your device when it is running in the browser or installed as a PWA.",
+      "documentation": "Read the Documentation"
+    },
+    "notificationUnavailable": {
+      "title": "Notifications Unavailable",
+      "desc": "Web push notifications require a secure context (<code>https://…</code>). This is a browser limitation. Access Frigate securely to use notifications.",
+      "documentation": "Read the Documentation"
+    },
+    "globalSettings": {
+      "title": "Global Settings",
+      "desc": "Temporarily suspend notifications for specific cameras on all registered devices."
+    },
+    "email": {
+      "title": "Email",
+      "placeholder": "e.g. example@email.com",
+      "desc": "A valid email is required and will be used to notify you if there are any issues with the push service."
+    },
+    "cameras": {
+      "title": "Cameras",
+      "noCameras": "No cameras available",
+      "desc": "Select which cameras to enable notifications for."
+    },
+    "deviceSpecific": "Device Specific Settings",
+    "registerDevice": "Register This Device",
+    "unregisterDevice": "Unregister This Device",
+    "sendTestNotification": "Send a test notification",
+    "unsavedRegistrations": "Unsaved Notification registrations",
+    "unsavedChanges": "Unsaved Notification changes",
+    "active": "Notifications Active",
+    "suspended": "Notifications suspended {{time}}",
+    "suspendTime": {
+      "suspend": "Suspend",
+      "5minutes": "Suspend for 5 minutes",
+      "10minutes": "Suspend for 10 minutes",
+      "30minutes": "Suspend for 30 minutes",
+      "1hour": "Suspend for 1 hour",
+      "12hours": "Suspend for 12 hours",
+      "24hours": "Suspend for 24 hours",
+      "untilRestart": "Suspend until restart"
+    },
+    "cancelSuspension": "Cancel Suspension",
+    "toast": {
+      "success": {
+        "registered": "Successfully registered for notifications. Restarting Frigate is required before any notifications (including a test notification) can be sent.",
+        "settingSaved": "Notification settings have been saved."
+      },
+      "error": {
+        "registerFailed": "Failed to save notification registration."
+      }
+    }
+  },
+  "frigatePlus": {
+    "title": "Frigate+ Settings",
+    "apiKey": {
+      "title": "Frigate+ API Key",
+      "validated": "Frigate+ API key is detected and validated",
+      "notValidated": "Frigate+ API key is not detected or not validated",
+      "desc": "The Frigate+ API key enables integration with the Frigate+ service.",
+      "plusLink": "Read more about Frigate+"
+    },
+    "snapshotConfig": {
+      "title": "Snapshot Configuration",
+      "desc": "Submitting to Frigate+ requires both snapshots and <code>clean_copy</code> snapshots to be enabled in your config.",
+      "documentation": "Read the documentation",
+      "cleanCopyWarning": "Some cameras have snapshots enabled but have the clean copy disabled. You need to enable <code>clean_copy</code> in your snapshot config to be able to submit images from these cameras to Frigate+.",
+      "table": {
+        "camera": "Camera",
+        "snapshots": "Snapshots",
+        "cleanCopySnapshots": "<code>clean_copy</code> Snapshots"
+      }
+    },
+    "modelInfo": {
+      "title": "Model Information",
+      "modelType": "Model Type",
+      "trainDate": "Train Date",
+      "baseModel": "Base Model",
+      "plusModelType": {
+        "baseModel": "Base Model",
+        "userModel": "Fine-Tuned"
+      },
+      "supportedDetectors": "Supported Detectors",
+      "cameras": "Cameras",
+      "loading": "Loading model information…",
+      "error": "Failed to load model information",
+      "availableModels": "Available Models",
+      "loadingAvailableModels": "Loading available models…",
+      "modelSelect": "Your available models on Frigate+ can be selected here. Note that only models compatible with your current detector configuration can be selected."
+    },
+    "unsavedChanges": "Unsaved Frigate+ settings changes",
+    "restart_required": "Restart required (Frigate+ model changed)",
+    "toast": {
+      "success": "Frigate+ settings have been saved. Restart Frigate to apply changes.",
+      "error": "Failed to save config changes: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/en/views/system.json b/web/public/locales/en/views/system.json
new file mode 100644
index 000000000..059f05f9f
--- /dev/null
+++ b/web/public/locales/en/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Cameras Stats - Frigate",
+    "storage": "Storage Stats - Frigate",
+    "general": "General Stats - Frigate",
+    "enrichments": "Enrichments Stats - Frigate",
+    "logs": {
+      "frigate": "Frigate Logs - Frigate",
+      "go2rtc": "Go2RTC Logs - Frigate",
+      "nginx": "Nginx Logs - Frigate"
+    }
+  },
+  "title": "System",
+  "metrics": "System metrics",
+  "logs": {
+    "download": {
+      "label": "Download Logs"
+    },
+    "copy": {
+      "label": "Copy to Clipboard",
+      "success": "Copied logs to clipboard",
+      "error": "Could not copy logs to clipboard"
+    },
+    "type": {
+      "label": "Type",
+      "timestamp": "Timestamp",
+      "tag": "Tag",
+      "message": "Message"
+    },
+    "tips": "Logs are streaming from the server",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Error fetching logs: {{errorMessage}}",
+        "whileStreamingLogs": "Error while streaming logs: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "General",
+    "detector": {
+      "title": "Detectors",
+      "inferenceSpeed": "Detector Inference Speed",
+      "temperature": "Detector Temperature",
+      "cpuUsage": "Detector CPU Usage",
+      "memoryUsage": "Detector Memory Usage"
+    },
+    "hardwareInfo": {
+      "title": "Hardware Info",
+      "gpuUsage": "GPU Usage",
+      "gpuMemory": "GPU Memory",
+      "gpuEncoder": "GPU Encoder",
+      "gpuDecoder": "GPU Decoder",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo Output",
+          "returnCode": "Return Code: {{code}}",
+          "processOutput": "Process Output:",
+          "processError": "Process Error:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI Output",
+          "name": "Name: {{name}}",
+          "driver": "Driver: {{driver}}",
+          "cudaComputerCapability": "CUDA Compute Capability: {{cuda_compute}}",
+          "vbios": "VBios Info: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Close GPU info"
+        },
+        "copyInfo": {
+          "label": "Copy GPU info"
+        },
+        "toast": {
+          "success": "Copied GPU info to clipboard"
+        }
+      },
+      "npuUsage": "NPU Usage",
+      "npuMemory": "NPU Memory"
+    },
+    "otherProcesses": {
+      "title": "Other Processes",
+      "processCpuUsage": "Process CPU Usage",
+      "processMemoryUsage": "Process Memory Usage"
+    }
+  },
+  "storage": {
+    "title": "Storage",
+    "overview": "Overview",
+    "recordings": {
+      "title": "Recordings",
+      "tips": "This value represents the total storage used by the recordings in Frigate's database. Frigate does not track storage usage for all files on your disk.",
+      "earliestRecording": "Earliest recording available:"
+    },
+    "cameraStorage": {
+      "title": "Camera Storage",
+      "camera": "Camera",
+      "unusedStorageInformation": "Unused Storage Information",
+      "storageUsed": "Storage",
+      "percentageOfTotalUsed": "Percentage of Total",
+      "bandwidth": "Bandwidth",
+      "unused": {
+        "title": "Unused",
+        "tips": "This value may not accurately represent the free space available to Frigate if you have other files stored on your drive beyond Frigate's recordings. Frigate does not track storage usage outside of its recordings."
+      }
+    }
+  },
+  "cameras": {
+    "title": "Cameras",
+    "overview": "Overview",
+    "info": {
+      "aspectRatio": "aspect ratio",
+      "cameraProbeInfo": "{{camera}} Camera Probe Info",
+      "streamDataFromFFPROBE": "Stream data is obtained with <code>ffprobe</code>.",
+      "fetching": "Fetching Camera Data",
+      "stream": "Stream {{idx}}",
+      "video": "Video:",
+      "codec": "Codec:",
+      "resolution": "Resolution:",
+      "fps": "FPS:",
+      "unknown": "Unknown",
+      "audio": "Audio:",
+      "error": "Error: {{error}}",
+      "tips": {
+        "title": "Camera Probe Info"
+      }
+    },
+    "framesAndDetections": "Frames / Detections",
+    "label": {
+      "camera": "camera",
+      "detect": "detect",
+      "skipped": "skipped",
+      "ffmpeg": "FFmpeg",
+      "capture": "capture",
+      "overallFramesPerSecond": "overall frames per second",
+      "overallDetectionsPerSecond": "overall detections per second",
+      "overallSkippedDetectionsPerSecond": "overall skipped detections per second",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} capture",
+      "cameraDetect": "{{camName}} detect",
+      "cameraFramesPerSecond": "{{camName}} frames per second",
+      "cameraDetectionsPerSecond": "{{camName}} detections per second",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} skipped detections per second"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Copied probe data to clipboard."
+      },
+      "error": {
+        "unableToProbeCamera": "Unable to probe camera: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Last refreshed: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} has high FFmpeg CPU usage ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} has high detect CPU usage ({{detectAvg}}%)",
+    "healthy": "System is healthy",
+    "reindexingEmbeddings": "Reindexing embeddings ({{processed}}% complete)",
+    "cameraIsOffline": "{{camera}} is offline",
+    "detectIsSlow": "{{detect}} is slow ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} is very slow ({{speed}} ms)"
+  },
+  "enrichments": {
+    "title": "Enrichments",
+    "infPerSecond": "Inferences Per Second",
+    "embeddings": {
+      "image_embedding": "Image Embedding",
+      "text_embedding": "Text Embedding",
+      "face_recognition": "Face Recognition",
+      "plate_recognition": "Plate Recognition",
+      "image_embedding_speed": "Image Embedding Speed",
+      "face_embedding_speed": "Face Embedding Speed",
+      "face_recognition_speed": "Face Recognition Speed",
+      "plate_recognition_speed": "Plate Recognition Speed",
+      "text_embedding_speed": "Text Embedding Speed",
+      "yolov9_plate_detection_speed": "YOLOv9 Plate Detection Speed",
+      "yolov9_plate_detection": "YOLOv9 Plate Detection"
+    }
+  }
+}
diff --git a/web/public/locales/es/audio.json b/web/public/locales/es/audio.json
new file mode 100644
index 000000000..16288b261
--- /dev/null
+++ b/web/public/locales/es/audio.json
@@ -0,0 +1,429 @@
+{
+  "bark": "Ladrido",
+  "sheep": "Oveja",
+  "goat": "Cabra",
+  "car": "Coche",
+  "boat": "Barco",
+  "bus": "Autobus",
+  "motorcycle": "Motocicleta",
+  "train": "Tren",
+  "skateboard": "Monopatín",
+  "sink": "Fregadero",
+  "blender": "Batidora",
+  "hair_dryer": "Secador de pelo",
+  "scissors": "Tijeras",
+  "clock": "Reloj",
+  "camera": "Cámara",
+  "door": "Puerta",
+  "dog": "Perro",
+  "horse": "Caballo",
+  "toothbrush": "Cepillo de dientes",
+  "bird": "Pájaro",
+  "vehicle": "Vehículo",
+  "mouse": "Ratón",
+  "bicycle": "Bicicleta",
+  "cat": "Gato",
+  "keyboard": "Teclado",
+  "animal": "Animal",
+  "yell": "Grito",
+  "bellow": "Voz de trueno",
+  "whoop": "Aullido",
+  "crying": "Llanto",
+  "synthetic_singing": "Canto sintético",
+  "rapping": "Rap",
+  "humming": "Tarareo",
+  "groan": "Gemido",
+  "grunt": "Gruñido",
+  "whistling": "Silbido",
+  "breathing": "Respiración",
+  "wheeze": "Sibilancia",
+  "snoring": "Ronquido",
+  "gasp": "Jadeo",
+  "snort": "Resoplido",
+  "cough": "Tos",
+  "sneeze": "Estornudo",
+  "sniff": "Oler",
+  "run": "Correr",
+  "shuffle": "Arrastrar los pies",
+  "footsteps": "Pasos",
+  "chewing": "Masticar",
+  "biting": "Morder",
+  "gargling": "Hacer gárgaras",
+  "stomach_rumble": "Rugido de estómago",
+  "burping": "Eructo",
+  "finger_snapping": "Chasquido de dedos",
+  "clapping": "Aplausos",
+  "heartbeat": "Latido del corazón",
+  "heart_murmur": "Soplo cardíaco",
+  "cheering": "Aclamación",
+  "applause": "Aplausos",
+  "whispering": "Susurro",
+  "speech": "Habla",
+  "mantra": "Mantra",
+  "fart": "Pedos",
+  "snicker": "Risa maliciosa",
+  "yodeling": "Yodeling",
+  "laughter": "Risa",
+  "child_singing": "Canto infantil",
+  "pant": "Jadeo",
+  "throat_clearing": "Despejar la garganta",
+  "sigh": "Suspiro",
+  "choir": "Coro",
+  "babbling": "Balbuceo",
+  "singing": "Canto",
+  "hands": "Manos",
+  "hiccup": "Hipido",
+  "chant": "Cántico",
+  "chatter": "Charla",
+  "crowd": "Multitud",
+  "children_playing": "Niños jugando",
+  "pets": "Mascotas",
+  "yip": "Ladrido corto",
+  "howl": "Aullido",
+  "bow_wow": "Guau",
+  "growling": "Gruñido",
+  "whimper_dog": "Gemido de perro",
+  "purr": "Ronroneo",
+  "hiss": "Siseo",
+  "caterwaul": "Aullido de gato",
+  "livestock": "Ganado",
+  "clip_clop": "Trote de caballo",
+  "neigh": "Relincho",
+  "cattle": "Ganado",
+  "moo": "Muu",
+  "cowbell": "Campanilla de vaca",
+  "pig": "Cerdo",
+  "oink": "Oink",
+  "bleat": "Balido",
+  "fowl": "Aves",
+  "cluck": "Cacareo",
+  "cock_a_doodle_doo": "Quiquiriquí",
+  "turkey": "Pavo",
+  "gobble": "Gluglú",
+  "duck": "Pato",
+  "goose": "Ganso",
+  "honk": "Bocina",
+  "wild_animals": "Animales salvajes",
+  "roar": "Rugido",
+  "chirp": "Canto (de insecto o pájaro)",
+  "pigeon": "Paloma",
+  "coo": "Arrullo",
+  "caw": "Grito de cuervo",
+  "owl": "Búho",
+  "dogs": "Perros",
+  "insect": "Insecto",
+  "cricket": "Grillo",
+  "mosquito": "Mosquito",
+  "buzz": "Zumbido",
+  "frog": "Rana",
+  "croak": "Croar",
+  "snake": "Serpiente",
+  "rattle": "Sonajero",
+  "whale_vocalization": "Vocalización de ballena",
+  "plucked_string_instrument": "Instrumento de cuerda punteada",
+  "guitar": "Guitarra",
+  "steel_guitar": "Guitarra de acero",
+  "tapping": "Tapping (técnica de guitarra)",
+  "strum": "Rasgueo",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolina",
+  "zither": "Cítara",
+  "ukulele": "Ukulele",
+  "piano": "Piano",
+  "organ": "Órgano",
+  "electronic_organ": "Órgano electrónico",
+  "hammond_organ": "Órgano Hammond",
+  "sampler": "Sampler",
+  "harpsichord": "Clavicémbalo",
+  "percussion": "Percusión",
+  "drum_kit": "Batería",
+  "drum_machine": "Caja de ritmos",
+  "drum": "Tambor",
+  "snare_drum": "Caja (o redoblante)",
+  "rimshot": "Golpe en el borde del tambor",
+  "tabla": "Tabla",
+  "cymbal": "Platillo",
+  "hi_hat": "Hi-Hat",
+  "wood_block": "Bloque de madera",
+  "tambourine": "Pandereta",
+  "maraca": "Maraca",
+  "gong": "Gong",
+  "tubular_bells": "Campanas tubulares",
+  "mallet_percussion": "Percusión con mazas",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "steelpan": "Steelpan",
+  "orchestra": "Orquesta",
+  "trumpet": "Trompeta",
+  "string_section": "Sección de cuerdas",
+  "violin": "Violín",
+  "double_bass": "Contrabajo",
+  "wind_instrument": "Instrumento de viento",
+  "flute": "Flauta",
+  "saxophone": "Saxofón",
+  "harp": "Arpa",
+  "jingle_bell": "Campanilla",
+  "bicycle_bell": "Campana de bicicleta",
+  "tuning_fork": "Diapasón",
+  "chime": "Campanilla",
+  "wind_chime": "Campanario de viento",
+  "harmonica": "Armónica",
+  "accordion": "Acordeón",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremín",
+  "singing_bowl": "Cuenco tibetano",
+  "scratching": "Rasguñado",
+  "hip_hop_music": "Música hip-hop",
+  "rock_music": "Música rock",
+  "heavy_metal": "Heavy metal",
+  "punk_rock": "Punk rock",
+  "progressive_rock": "Progressive rock",
+  "rock_and_roll": "Rock and roll",
+  "psychedelic_rock": "Rock psicodélico",
+  "rhythm_and_blues": "Rhythm and blues",
+  "soul_music": "Música soul",
+  "country": "Country",
+  "swing_music": "Música swing",
+  "disco": "Disco",
+  "house_music": "Música House",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Electronica",
+  "electronic_dance_music": "Música Dance Electronica",
+  "music_of_latin_america": "Música de América Latina",
+  "salsa_music": "Música Salsa",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Música para niños",
+  "new-age_music": "Música New Age",
+  "vocal_music": "Música Vocal",
+  "a_capella": "A capella",
+  "afrobeat": "Afrobeat",
+  "music_of_asia": "Música de Asia",
+  "carnatic_music": "Música Carnatic",
+  "music_of_bollywood": "Música de Bollywood",
+  "ska": "Ska",
+  "song": "Canción",
+  "background_music": "Música Background",
+  "soundtrack_music": "Música de Pelicula",
+  "lullaby": "Lullaby",
+  "video_game_music": "Música de Videojuego",
+  "christmas_music": "Música Navideña",
+  "sad_music": "Música triste",
+  "tender_music": "Música suave",
+  "exciting_music": "Música emocionante",
+  "angry_music": "Música enojada",
+  "scary_music": "Música aterradora",
+  "wind": "Viento",
+  "rustling_leaves": "Hojas susurrantes",
+  "wind_noise": "Ruido del viento",
+  "thunderstorm": "Tormenta eléctrica",
+  "thunder": "Trueno",
+  "raindrop": "Gota de lluvia",
+  "stream": "Arroyo",
+  "waterfall": "Cascada",
+  "ocean": "Oceano",
+  "steam": "Vapor",
+  "gurgling": "Gorgoteo",
+  "sailboat": "Vela",
+  "rowboat": "Bote de remos",
+  "motorboat": "Lancha motora",
+  "motor_vehicle": "Vehículo a motor",
+  "toot": "Pitido",
+  "tire_squeal": "Chillido de neumáticos",
+  "car_passing_by": "Coche pasando",
+  "ambulance": "Ambulancia",
+  "fire_engine": "Camión de bomberos",
+  "traffic_noise": "Ruido de tráfico",
+  "rail_transport": "Transporte ferroviario",
+  "aircraft_engine": "Aeronave motor",
+  "engine": "Motor",
+  "chainsaw": "Motosierra",
+  "medium_engine": "Motor de tamaño medio",
+  "heavy_engine": "Motor pesado",
+  "engine_knocking": "Golpeteo del motor",
+  "engine_starting": "Arranque del motor",
+  "idling": "Ralentí",
+  "accelerating": "Acelerando",
+  "doorbell": "Timbre",
+  "ding-dong": "Ding Dong",
+  "sliding_door": "Puerta corredera",
+  "slam": "Portazo",
+  "knock": "Golpe",
+  "tap": "Golpe suave",
+  "cupboard_open_or_close": "Apertura o cierre del armario",
+  "drawer_open_or_close": "Apertura o cierre del cajón",
+  "dishes": "Platos",
+  "cutlery": "Cubertería",
+  "chopping": "Cortando",
+  "frying": "Freír",
+  "microwave_oven": "Horno Microondas",
+  "water_tap": "Grifo de Agua",
+  "toilet_flush": "Descarga del Inodoro",
+  "electric_toothbrush": "Cepillo de Dientes Eléctrico",
+  "vacuum_cleaner": "Aspiradora",
+  "zipper": "Cremallera",
+  "keys_jangling": "Llaves Tintineando",
+  "coin": "Moneda",
+  "electric_shaver": "Afeitadora Eléctrica",
+  "shuffling_cards": "Barajar Cartas",
+  "typing": "Teclear",
+  "typewriter": "Máquina de Escribir",
+  "computer_keyboard": "Teclado de Computadora",
+  "writing": "Escribir",
+  "alarm": "Alarma",
+  "telephone": "Teléfono",
+  "telephone_bell_ringing": "Timbre de Teléfono Sonando",
+  "ringtone": "Tono de Llamada",
+  "telephone_dialing": "Marcación de Teléfono",
+  "dial_tone": "Tono de Marcación",
+  "busy_signal": "Señal de Ocupado",
+  "alarm_clock": "Reloj Despertador",
+  "siren": "Sirena",
+  "civil_defense_siren": "Sirena de Defensa Civil",
+  "buzzer": "Zumbador",
+  "fire_alarm": "Alarma de Incendio",
+  "foghorn": "Bocina de Niebla",
+  "whistle": "Silbato",
+  "steam_whistle": "Silbato de Vapor",
+  "mechanisms": "Mecanismos",
+  "ratchet": "Trinquete",
+  "tick": "Tictac",
+  "tick-tock": "Tictoc",
+  "gears": "Engranajes",
+  "pulleys": "Poleas",
+  "sewing_machine": "Máquina de Coser",
+  "mechanical_fan": "Ventilador Mecánico",
+  "air_conditioning": "Aire Acondicionado",
+  "cash_register": "Caja Registradora",
+  "printer": "Impresora",
+  "fly": "Mosca",
+  "patter": "Golpeteo",
+  "bell": "Campana",
+  "meow": "Miau",
+  "squawk": "Chillido",
+  "classical_music": "Música Clásica",
+  "cello": "Violoncello",
+  "quack": "Cuac",
+  "hoot": "Ulular",
+  "synthesizer": "Sintetizador",
+  "happy_music": "Música Alegre",
+  "timpani": "Tímpano",
+  "bowed_string_instrument": "Instrumento de cuerda frotada",
+  "jazz": "Jazz",
+  "train_whistle": "Silbido de tren",
+  "car_alarm": "Alarma de coche",
+  "truck": "Camion",
+  "ice_cream_truck": "Camión de helados",
+  "railroad_car": "Vagón de tren",
+  "aircraft": "Aeronave",
+  "helicopter": "Helicóptero",
+  "light_engine": "Motor ligero",
+  "dental_drill's_drill": "Talonador dental",
+  "crow": "Cuervo",
+  "flapping_wings": "Aleteo de alas",
+  "opera": "Opera",
+  "funk": "Funk",
+  "roaring_cats": "Gatos rugiendo",
+  "chicken": "Pollo",
+  "bagpipes": "Gaita",
+  "rats": "Ratas",
+  "music": "Música",
+  "musical_instrument": "Música instrumental",
+  "electric_guitar": "Guitarra eléctrica",
+  "bass_drum": "Bombo",
+  "acoustic_guitar": "Guitarra acústica",
+  "pizzicato": "Pizzicato",
+  "beatboxing": "Beatboxing",
+  "bass_guitar": "Bajo eléctrico",
+  "bluegrass": "Bluegrass",
+  "folk_music": "Música Folk",
+  "electronic_music": "Música electrónica",
+  "techno": "Techno",
+  "french_horn": "Trompa francesa",
+  "ship": "Barco",
+  "lawn_mower": "Cortacésped",
+  "electric_piano": "Piano eléctrico",
+  "train_wheels_squealing": "Chillido de ruedas de tren",
+  "drum_roll": "Redoble de tambor",
+  "vibraphone": "Vibrafón",
+  "trombone": "Trombón",
+  "brass_instrument": "Instrumento de metal",
+  "church_bell": "Campana de iglesia",
+  "clarinet": "Clarinete",
+  "grunge": "Grunge",
+  "pop_music": "Música pop",
+  "jingle": "Single",
+  "rain_on_surface": "Lluvia sobre superficie",
+  "emergency_vehicle": "Vehículo de emergencias",
+  "ambient_music": "Música Ambiente",
+  "trance_music": "Música Trance",
+  "music_of_africa": "Música de Africa",
+  "christian_music": "Música Cristiana",
+  "gospel_music": "Música Gospel",
+  "traditional_music": "Música Tradicional",
+  "wedding_music": "Música de Boda",
+  "rain": "Lluvia",
+  "waves": "Ondas",
+  "fire": "Fuego",
+  "police_car": "Coche de policia",
+  "squeak": "Chirrido",
+  "crackle": "Crepitar",
+  "reggae": "Reggae",
+  "middle_eastern_music": "Música del Medio Oriente",
+  "smoke_detector": "Detector de Humo",
+  "race_car": "Coche de carreras",
+  "air_horn": "Bocina de aire",
+  "independent_music": "Música Independiente",
+  "theme_music": "Música de Película",
+  "dance_music": "Música Dance",
+  "fixed-wing_aircraft": "Aeronave de ala fija",
+  "water": "Agua",
+  "propeller": "Hélice",
+  "air_brake": "Freno de aire",
+  "jet_engine": "Motor a reacción",
+  "power_windows": "Ventanas eléctricas",
+  "skidding": "Deslizamiento",
+  "reversing_beeps": "Bips de marcha atras",
+  "bathtub": "Bañera",
+  "train_horn": "Bocina de tren",
+  "subway": "Metro",
+  "single-lens_reflex_camera": "Cámara Réflex de un Solo Objetivo",
+  "tools": "Herramientas",
+  "hammer": "Martillo",
+  "filing": "Limar",
+  "jackhammer": "Martillo Neumático",
+  "sawing": "Serrar",
+  "sanding": "Lijar",
+  "power_tool": "Herramienta Eléctrica",
+  "burst": "Estallido",
+  "eruption": "Erupción",
+  "boom": "Estallido (Boom)",
+  "firecracker": "Petardo",
+  "artillery_fire": "Fuego de Artillería",
+  "cap_gun": "Pistola de Fulminantes",
+  "fireworks": "Fuegos Artificiales",
+  "wood": "Madera",
+  "chop": "Cortar (Madera)",
+  "splinter": "Astilla",
+  "crack": "Crujido",
+  "chink": "Tintineo (de Vidrio)",
+  "glass": "Vidrio",
+  "environmental_noise": "Ruido Ambiental",
+  "sound_effect": "Efecto de sonido",
+  "shatter": "Romperse",
+  "static": "Estatico",
+  "silence": "Silencio",
+  "scream": "Grito",
+  "white_noise": "Ruido Blanco",
+  "drill": "Taladro",
+  "field_recording": "Grabación de Campo",
+  "explosion": "Explosión",
+  "machine_gun": "Ametralladora",
+  "television": "Televisión",
+  "radio": "Radio",
+  "gunshot": "Disparo",
+  "fusillade": "Descarga de Fusilería",
+  "pink_noise": "Ruido Rosa"
+}
diff --git a/web/public/locales/es/common.json b/web/public/locales/es/common.json
new file mode 100644
index 000000000..bf6a735fa
--- /dev/null
+++ b/web/public/locales/es/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "yesterday": "Ayer",
+    "thisMonth": "Este mes",
+    "yr": "{{time}}año",
+    "formattedTimestampWithYear": {
+      "12hour": "%b %-d %Y, %I:%M %p",
+      "24hour": "%b %-d %Y, %H:%M"
+    },
+    "second_one": "{{time}} segundo",
+    "second_many": "{{time}} segundos",
+    "second_other": "{{time}} segundos",
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "formattedTimestampExcludeSeconds": {
+      "24hour": "%b %-d, %H:%M",
+      "12hour": "%b %-d, %I:%M %p"
+    },
+    "formattedTimestamp": {
+      "24hour": "MMM d, HH:mm:ss",
+      "12hour": "MMM d, h:mm:ss aaa"
+    },
+    "day_one": "{{time}} día",
+    "day_many": "{{time}} días",
+    "day_other": "{{time}} días",
+    "untilForTime": "Hasta {{time}}",
+    "untilForRestart": "Hasta que Frigate se reinicie.",
+    "untilRestart": "Hasta que se reinicie",
+    "ago": "Hace {{timeAgo}}",
+    "justNow": "Ahora mismo",
+    "today": "Hoy",
+    "last7": "Últimos 7 días",
+    "last14": "Últimos 14 días",
+    "last30": "Últimos 30 días",
+    "thisWeek": "Esta semana",
+    "lastWeek": "Semana pasada",
+    "lastMonth": "Mes pasado",
+    "10minutes": "10 minutos",
+    "30minutes": "30 minutos",
+    "1hour": "1 hora",
+    "12hours": "12 horas",
+    "24hours": "24 horas",
+    "pm": "pm",
+    "year_one": "{{time}} año",
+    "year_many": "{{time}} años",
+    "year_other": "{{time}} años",
+    "mo": "{{time}}mes",
+    "month_one": "{{time}} mes",
+    "month_many": "{{time}} meses",
+    "month_other": "{{time}} meses",
+    "h": "{{time}}h",
+    "m": "{{time}}m",
+    "minute_one": "{{time}} minuto",
+    "minute_many": "{{time}} minutos",
+    "minute_other": "{{time}} minutos",
+    "s": "{{time}}s",
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "5minutes": "5 minutos",
+    "am": "am",
+    "d": "{{time}}d",
+    "hour_one": "{{time}} hora",
+    "hour_many": "{{time}} horas",
+    "hour_other": "{{time}} horas",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    }
+  },
+  "menu": {
+    "settings": "Ajustes",
+    "export": "Exportar",
+    "user": {
+      "title": "Usuario",
+      "account": "Cuenta",
+      "anonymous": "Anónimo",
+      "logout": "Cerrar sesión",
+      "setPassword": "Establecer contraseña",
+      "current": "Usuario actual: {{user}}"
+    },
+    "systemMetrics": "Métricas del sistema",
+    "help": "Ayuda",
+    "system": "Sistema",
+    "configuration": "Configuración",
+    "systemLogs": "Registros del sistema",
+    "configurationEditor": "Editor de configuración",
+    "languages": "Idiomas",
+    "language": {
+      "en": "English (Inglés)",
+      "zhCN": "简体中文 (Chino simplificado)",
+      "withSystem": {
+        "label": "Usar los ajustes del sistema para el idioma"
+      },
+      "ru": "Русский (Ruso)",
+      "de": "Deutsch (Alemán)",
+      "ja": "日本語 (Japonés)",
+      "tr": "Türkçe (Turco)",
+      "sv": "Svenska (Sueco)",
+      "nb": "Norsk Bokmål (Noruego Bokmål)",
+      "ko": "한국어 (Coreano)",
+      "vi": "Tiếng Việt (Vietnamita)",
+      "fa": "فارسی (Persa)",
+      "pl": "Polski (Polaco)",
+      "uk": "Українська (Ucraniano)",
+      "he": "עברית (Hebreo)",
+      "el": "Ελληνικά (Griego)",
+      "ro": "Română (Rumano)",
+      "hu": "Magyar (Húngaro)",
+      "fi": "Suomi (Finlandés)",
+      "it": "Italian (Italiano)",
+      "da": "Dansk (Danés)",
+      "sk": "Slovenčina (Eslovaco)",
+      "hi": "हिन्दी (Hindi)",
+      "es": "Español",
+      "ar": "العربية (Árabe)",
+      "pt": "Português (Portugues)",
+      "cs": "Čeština (Checo)",
+      "nl": "Nederlands (Neerlandés)",
+      "fr": "Français (Frances)",
+      "yue": "粵語 (Cantonés)",
+      "th": "ไทย (Tailandés)",
+      "ca": "Català (Catalan)"
+    },
+    "appearance": "Apariencia",
+    "darkMode": {
+      "label": "Modo oscuro",
+      "light": "Claro",
+      "dark": "Oscuro",
+      "withSystem": {
+        "label": "Usar los ajustes del sistema para el modo claro u oscuro"
+      }
+    },
+    "withSystem": "Sistema",
+    "theme": {
+      "label": "Tema",
+      "blue": "Azul",
+      "green": "Verde",
+      "nord": "Nord",
+      "red": "Rojo",
+      "contrast": "Alto contraste",
+      "default": "Predeterminado",
+      "highcontrast": "Alto Contraste"
+    },
+    "documentation": {
+      "title": "Documentación",
+      "label": "Documentación de Frigate"
+    },
+    "restart": "Reiniciar Frigate",
+    "live": {
+      "title": "Directo",
+      "cameras": {
+        "title": "Cámaras",
+        "count_one": "{{count}} Cámara",
+        "count_many": "{{count}} Cámaras",
+        "count_other": "{{count}} Cámaras"
+      },
+      "allCameras": "Todas las cámaras"
+    },
+    "review": "Revisar",
+    "explore": "Explorar",
+    "uiPlayground": "Zona de pruebas de la interfaz de usuario",
+    "faceLibrary": "Biblioteca de rostros"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "kph"
+    },
+    "length": {
+      "meters": "Metros",
+      "feet": "Pies"
+    }
+  },
+  "button": {
+    "off": "APAGADO",
+    "copyCoordinates": "Copiar coordenadas",
+    "fullscreen": "Pantalla completa",
+    "apply": "Aplicar",
+    "reset": "Restablecer",
+    "done": "Hecho",
+    "enable": "Habilitar",
+    "disabled": "Deshabilitado",
+    "disable": "Deshabilitar",
+    "save": "Guardar",
+    "cancel": "Cancelar",
+    "close": "Cerrar",
+    "copy": "Copiar",
+    "back": "Atrás",
+    "history": "Historial",
+    "pictureInPicture": "Imagen en imagen",
+    "twoWayTalk": "Conversación bidireccional",
+    "cameraAudio": "Audio de la cámara",
+    "delete": "Eliminar",
+    "yes": "Sí",
+    "no": "No",
+    "download": "Descargar",
+    "info": "Información",
+    "suspended": "Suspendido",
+    "unsuspended": "Reactivar",
+    "play": "Reproducir",
+    "unselect": "Deseleccionar",
+    "export": "Exportar",
+    "deleteNow": "Eliminar ahora",
+    "next": "Siguiente",
+    "edit": "Editar",
+    "enabled": "Habilitado",
+    "saving": "Guardando…",
+    "exitFullscreen": "Salir de pantalla completa",
+    "on": "ENCENDIDO"
+  },
+  "toast": {
+    "save": {
+      "error": {
+        "noMessage": "No se pudieron guardar los cambios de configuración",
+        "title": "No se pudieron guardar los cambios de configuración: {{errorMessage}}"
+      },
+      "title": "Guardar"
+    },
+    "copyUrlToClipboard": "URL copiada al portapapeles."
+  },
+  "label": {
+    "back": "Volver atrás"
+  },
+  "role": {
+    "title": "Rol",
+    "admin": "Administrador",
+    "viewer": "Espectador",
+    "desc": "Los administradores tienen acceso completo a todas las funciones en la interfaz de usuario de Frigate. Los espectadores están limitados a ver cámaras, elementos de revisión y grabaciones históricas en la interfaz de usuario."
+  },
+  "pagination": {
+    "label": "paginación",
+    "previous": {
+      "title": "Anterior",
+      "label": "Ir a la página anterior"
+    },
+    "next": {
+      "title": "Siguiente",
+      "label": "Ir a la página siguiente"
+    },
+    "more": "Más páginas"
+  },
+  "accessDenied": {
+    "documentTitle": "Acceso denegado - Frigate",
+    "desc": "No tienes permiso para ver esta página.",
+    "title": "Acceso denegado"
+  },
+  "notFound": {
+    "documentTitle": "No se ha encontrado - Frigate",
+    "title": "404",
+    "desc": "Página no encontrada"
+  },
+  "selectItem": "Seleccionar {{item}}"
+}
diff --git a/web/public/locales/es/components/auth.json b/web/public/locales/es/components/auth.json
new file mode 100644
index 000000000..fde9c5a9f
--- /dev/null
+++ b/web/public/locales/es/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nombre de usuario",
+    "errors": {
+      "passwordRequired": "Se requiere contraseña",
+      "rateLimit": "Se ha superado el límite de solicitudes. Intenta de nuevo más tarde.",
+      "webUnknownError": "Error desconocido. Revisa los registros de la consola.",
+      "usernameRequired": "Se requiere nombre de usuario",
+      "unknownError": "Error desconocido. Revisa los registros.",
+      "loginFailed": "Error de inicio de sesión"
+    },
+    "password": "Contraseña",
+    "login": "Iniciar sesión"
+  }
+}
diff --git a/web/public/locales/es/components/camera.json b/web/public/locales/es/components/camera.json
new file mode 100644
index 000000000..bf036e0ae
--- /dev/null
+++ b/web/public/locales/es/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Grupos de cámaras",
+    "add": "Agregar grupo de cámaras",
+    "edit": "Editar grupo de cámaras",
+    "delete": {
+      "label": "Eliminar grupo de cámaras",
+      "confirm": {
+        "title": "Confirmar eliminación",
+        "desc": "¿Estás seguro de que quieres eliminar el grupo de cámaras <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nombre",
+      "placeholder": "Introduce un nombre…",
+      "errorMessage": {
+        "mustLeastCharacters": "El nombre del grupo de cámaras debe tener al menos 2 caracteres.",
+        "nameMustNotPeriod": "El nombre del grupo de cámaras no debe contener un punto.",
+        "invalid": "Nombre de grupo de cámaras no válido.",
+        "exists": "El nombre del grupo de cámaras ya existe."
+      }
+    },
+    "cameras": {
+      "desc": "Selecciona cámaras para este grupo.",
+      "label": "Cámaras"
+    },
+    "icon": "Icono",
+    "success": "El grupo de cámaras ({{name}}) ha sido guardado.",
+    "camera": {
+      "setting": {
+        "title": "Ajustes de transmisión de {{cameraName}}",
+        "audioIsAvailable": "El audio está disponible para esta transmisión",
+        "audioIsUnavailable": "El audio no está disponible para esta transmisión",
+        "audio": {
+          "tips": {
+            "title": "El audio debe provenir de tu cámara y estar configurado en go2rtc para esta transmisión.",
+            "document": "Leer la documentación "
+          }
+        },
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "desc": "Las imágenes de la cámara solo se actualizarán una vez por minuto y no habrá transmisión en vivo.",
+              "label": "Sin transmisión"
+            },
+            "smartStreaming": {
+              "label": "Transmisión inteligente (recomendada)",
+              "desc": "La transmisión inteligente actualizará la imagen de tu cámara una vez por minuto cuando no se detecte actividad para conservar ancho de banda y recursos. Cuando se detecte actividad, la imagen cambiará sin problemas a una transmisión en vivo."
+            },
+            "continuousStreaming": {
+              "label": "Transmisión continua",
+              "desc": {
+                "title": "La imagen de la cámara siempre será una transmisión en vivo cuando esté visible en el panel de control, incluso si no se detecta ninguna actividad.",
+                "warning": "La transmisión continua puede causar un alto uso de ancho de banda y problemas de rendimiento. Usa con precaución."
+              }
+            }
+          },
+          "label": "Método de transmisión",
+          "placeholder": "Elige un método de transmisión"
+        },
+        "compatibilityMode": {
+          "label": "Modo de compatibilidad",
+          "desc": "Habilita esta opción solo si la transmisión en vivo de tu cámara muestra artefactos de color y tiene una línea diagonal en el lado derecho de la imagen."
+        },
+        "label": "Ajustes de transmisión de la cámara",
+        "desc": "Cambia las opciones de transmisión en vivo para el panel de control de este grupo de cámaras. <em>Estos ajustes son específicos del dispositivo/navegador.</em>",
+        "placeholder": "Elige una transmisión",
+        "stream": "Transmitir"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Ajustes",
+      "title": "Opciones",
+      "showOptions": "Mostrar opciones",
+      "hideOptions": "Ocultar opciones"
+    },
+    "timestamp": "Marca de tiempo",
+    "zones": "Zonas",
+    "motion": "Movimiento",
+    "regions": "Regiones",
+    "boundingBox": "Caja delimitadora",
+    "mask": "Máscara"
+  }
+}
diff --git a/web/public/locales/es/components/dialog.json b/web/public/locales/es/components/dialog.json
new file mode 100644
index 000000000..376b385e6
--- /dev/null
+++ b/web/public/locales/es/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "restarting": {
+      "title": "Frigate se está reiniciando",
+      "button": "Forzar recarga ahora",
+      "content": "Esta página se recargará en {{countdown}} segundos."
+    },
+    "title": "¿Estás seguro de que quieres reiniciar Frigate?",
+    "button": "Reiniciar"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Enviar a Frigate+",
+        "desc": "Los objetos en ubicaciones que deseas evitar no son falsos positivos. Enviarlos como falsos positivos confundirá al modelo."
+      },
+      "review": {
+        "false": {
+          "label": "No confirmar esta etiqueta para Frigate Plus",
+          "false_one": "Esto no es un {{label}}",
+          "false_many": "Esto no es un {{label}}",
+          "false_other": "Esto no es un {{label}}"
+        },
+        "true": {
+          "true_one": "Esto es un {{label}}",
+          "true_many": "Esto es un {{label}}",
+          "true_other": "Esto es un {{label}}",
+          "label": "Confirmar esta etiqueta para Frigate+"
+        },
+        "state": {
+          "submitted": "Enviado"
+        },
+        "question": {
+          "label": "Confirmar esta etiqueta para Frigate Plus",
+          "ask_a": "¿Es este objeto un <code>{{label}}</code>?",
+          "ask_an": "¿Es este objeto un <code>{{label}}</code>?",
+          "ask_full": "¿Es este objeto un <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Ver en el historial"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Seleccionar desde la línea de tiempo",
+      "lastHour_one": "Última hora",
+      "lastHour_many": "Últimas {{count}} horas",
+      "lastHour_other": "Últimas {{count}} horas",
+      "custom": "Personalizado",
+      "start": {
+        "title": "Hora de inicio",
+        "label": "Seleccionar hora de inicio"
+      },
+      "end": {
+        "title": "Hora de finalización",
+        "label": "Seleccionar hora de finalización"
+      }
+    },
+    "name": {
+      "placeholder": "Nombrar la exportación"
+    },
+    "select": "Seleccionar",
+    "export": "Exportar",
+    "toast": {
+      "error": {
+        "failed": "No se pudo iniciar la exportación: {{error}}",
+        "noVaildTimeSelected": "No se seleccionó un rango de tiempo válido.",
+        "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio."
+      },
+      "success": "Exportación iniciada con éxito. Ver el archivo en la carpeta /exports."
+    },
+    "fromTimeline": {
+      "saveExport": "Guardar exportación",
+      "previewExport": "Vista previa de la exportación"
+    },
+    "selectOrExport": "Seleccionar o exportar"
+  },
+  "streaming": {
+    "restreaming": {
+      "disabled": "La retransmisión no está habilitada para esta cámara.",
+      "desc": {
+        "title": "Configura go2rtc para opciones adicionales de vista en vivo y audio para esta cámara.",
+        "readTheDocumentation": "Leer la documentación"
+      }
+    },
+    "debugView": "Vista de depuración",
+    "label": "Transmisión",
+    "showStats": {
+      "label": "Mostrar estadísticas de transmisión",
+      "desc": "Habilita esta opción para mostrar las estadísticas de transmisión como una superposición en la imagen de la cámara."
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Guardar búsqueda",
+      "desc": "Proporciona un nombre para esta búsqueda guardada.",
+      "overwrite": "{{searchName}} ya existe. Guardar sobrescribirá el valor existente.",
+      "success": "La búsqueda ({{searchName}}) ha sido guardada.",
+      "button": {
+        "save": {
+          "label": "Guardar esta búsqueda"
+        }
+      },
+      "placeholder": "Introduce un nombre para tu búsqueda"
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Confirmar eliminación",
+      "desc": {
+        "selected": "¿Estás seguro de que quieres eliminar todo el video grabado asociado con este elemento de revisión?<br /><br />Mantén presionada la tecla <em>Shift</em> para omitir este diálogo en el futuro."
+      },
+      "toast": {
+        "success": "El metraje de video asociado con los elementos de revisión seleccionados se ha eliminado con éxito.",
+        "error": "No se pudo eliminar: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Exportar",
+      "markAsReviewed": "Marcar como revisado",
+      "deleteNow": "Eliminar ahora"
+    }
+  }
+}
diff --git a/web/public/locales/es/components/filter.json b/web/public/locales/es/components/filter.json
new file mode 100644
index 000000000..7c627ad5f
--- /dev/null
+++ b/web/public/locales/es/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "filter": "Filtro",
+  "labels": {
+    "all": {
+      "short": "Etiquetas",
+      "title": "Todas las etiquetas"
+    },
+    "count": "{{count}} Etiquetas",
+    "label": "Etiquetas",
+    "count_one": "{{count}} Etiqueta",
+    "count_other": "{{count}} Etiquetas"
+  },
+  "zones": {
+    "all": {
+      "title": "Todas las zonas",
+      "short": "Zonas"
+    },
+    "label": "Zonas"
+  },
+  "dates": {
+    "all": {
+      "title": "Todas las fechas",
+      "short": "Fechas"
+    },
+    "selectPreset": "Selecciona un Preajuste…"
+  },
+  "timeRange": "Rango de tiempo",
+  "subLabels": {
+    "all": "Todas las subetiquetas",
+    "label": "Subetiquetas"
+  },
+  "score": "Puntuación",
+  "estimatedSpeed": "Velocidad estimada ({{unit}})",
+  "features": {
+    "label": "Características",
+    "submittedToFrigatePlus": {
+      "label": "Enviado a Frigate+",
+      "tips": "Primero debes filtrar por objetos rastreados que tengan una captura de pantalla.<br /><br />Los objetos rastreados sin una captura de pantalla no pueden enviarse a Frigate+."
+    },
+    "hasSnapshot": "Tiene una captura instantánea",
+    "hasVideoClip": "Tiene un clip de vídeo"
+  },
+  "sort": {
+    "label": "Ordenar",
+    "dateAsc": "Fecha (Ascendente)",
+    "dateDesc": "Fecha (Descendente)",
+    "scoreAsc": "Puntuación del objeto (Ascendente)",
+    "scoreDesc": "Puntuación del objeto (Descendente)",
+    "speedAsc": "Velocidad estimada (Ascendente)",
+    "speedDesc": "Velocidad estimada (Descendente)",
+    "relevance": "Relevancia"
+  },
+  "cameras": {
+    "label": "Filtro de cámaras",
+    "all": {
+      "title": "Todas las cámaras",
+      "short": "Cámaras"
+    }
+  },
+  "review": {
+    "showReviewed": "Mostrar revisados"
+  },
+  "motion": {
+    "showMotionOnly": "Mostrar solo movimiento"
+  },
+  "explore": {
+    "settings": {
+      "title": "Configuración",
+      "defaultView": {
+        "title": "Vista predeterminada",
+        "summary": "Resumen",
+        "desc": "Cuando no se seleccionen filtros, muestra un resumen de los objetos rastreados más recientes por etiqueta, o muestra una cuadrícula sin filtrar.",
+        "unfilteredGrid": "Cuadrícula sin filtrar"
+      },
+      "searchSource": {
+        "label": "Fuente de búsqueda",
+        "options": {
+          "thumbnailImage": "Miniatura Imagen",
+          "description": "Descripción"
+        },
+        "desc": "Elige si deseas buscar en las miniaturas o en las descripciones de tus objetos rastreados."
+      },
+      "gridColumns": {
+        "title": "Columnas de la cuadrícula",
+        "desc": "Selecciona el número de columnas en la vista de cuadrícula."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Selecciona una fecha para filtrar"
+      }
+    }
+  },
+  "reset": {
+    "label": "Restablecer filtros a los valores predeterminados"
+  },
+  "more": "Más filtros",
+  "logSettings": {
+    "label": "Filtrar nivel de registro",
+    "loading": {
+      "title": "Cargando",
+      "desc": "Cuando el panel de registros está desplazado hasta el final, los nuevos registros se transmiten automáticamente a medida que se añaden."
+    },
+    "disableLogStreaming": "Deshabilitar transmisión de registros",
+    "filterBySeverity": "Filtrar registros por gravedad",
+    "allLogs": "Todos los registros"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmar eliminación",
+    "desc": "Eliminar estos {{objectLength}} objetos rastreados elimina la captura de pantalla, cualquier incrustación guardada y cualquier entrada asociada al ciclo de vida del objeto. Las grabaciones de estos objetos rastreados en la vista de Historial <em>NO</em> se eliminarán.<br /><br />¿Estás seguro de que quieres proceder?<br /><br />Mantén presionada la tecla <em>Shift</em> para omitir este diálogo en el futuro.",
+    "toast": {
+      "success": "Objetos rastreados eliminados con éxito.",
+      "error": "No se pudo eliminar los objetos rastreados: {{errorMessage}}"
+    }
+  },
+  "recognizedLicensePlates": {
+    "title": "Matrículas reconocidas",
+    "loadFailed": "No se pudieron cargar las matrículas reconocidas.",
+    "loading": "Cargando matrículas reconocidas…",
+    "placeholder": "Escribe para buscar matrículas…",
+    "noLicensePlatesFound": "No se encontraron matrículas.",
+    "selectPlatesFromList": "Selecciona una o más matrículas de la lista."
+  },
+  "zoneMask": {
+    "filterBy": "Filtrar por máscara de zona"
+  }
+}
diff --git a/web/public/locales/es/components/icons.json b/web/public/locales/es/components/icons.json
new file mode 100644
index 000000000..d4112aecb
--- /dev/null
+++ b/web/public/locales/es/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecciona un icono",
+    "search": {
+      "placeholder": "Buscar un icono…"
+    }
+  }
+}
diff --git a/web/public/locales/es/components/input.json b/web/public/locales/es/components/input.json
new file mode 100644
index 000000000..986f0c4b3
--- /dev/null
+++ b/web/public/locales/es/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Descargar vídeo",
+      "toast": {
+        "success": "El vídeo de tu elemento de revisión ha comenzado a descargarse."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/es/components/player.json b/web/public/locales/es/components/player.json
new file mode 100644
index 000000000..2a3e4deb1
--- /dev/null
+++ b/web/public/locales/es/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFound": "No se encontró vista previa",
+  "noPreviewFoundFor": "No se encontró vista previa para {{cameraName}}",
+  "submitFrigatePlus": {
+    "submit": "Enviar",
+    "title": "¿Enviar este fotograma a Frigate+?"
+  },
+  "streamOffline": {
+    "desc": "No se han recibido fotogramas en la transmisión <code>detect</code> de {{cameraName}}, revisa los registros de errores",
+    "title": "Transmisión desconectada"
+  },
+  "cameraDisabled": "La cámara está deshabilitada",
+  "stats": {
+    "streamType": {
+      "title": "Tipo de transmisión:",
+      "short": "Tipo"
+    },
+    "bandwidth": {
+      "title": "Ancho de banda:",
+      "short": "Ancho de banda"
+    },
+    "latency": {
+      "title": "Latencia:",
+      "short": {
+        "title": "Latencia",
+        "value": "{{seconds}} seg"
+      },
+      "value": "{{seconds}} segundos"
+    },
+    "totalFrames": "Fotogramas totales:",
+    "droppedFrames": {
+      "title": "Fotogramas perdidos:",
+      "short": {
+        "title": "Perdidos",
+        "value": "{{droppedFrames}} fotogramas"
+      }
+    },
+    "decodedFrames": "Fotogramas decodificados:",
+    "droppedFrameRate": "Tasa de fotogramas perdidos:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Fotograma enviado correctamente a Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Error al enviar el fotograma a Frigate+"
+    }
+  },
+  "livePlayerRequiredIOSVersion": "Se requiere iOS 17.1 o superior para este tipo de transmisión en vivo.",
+  "noRecordingsFoundForThisTime": "No se encontraron grabaciones para este momento"
+}
diff --git a/web/public/locales/es/objects.json b/web/public/locales/es/objects.json
new file mode 100644
index 000000000..0e972102c
--- /dev/null
+++ b/web/public/locales/es/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Persona",
+  "bicycle": "Bicicleta",
+  "car": "Coche",
+  "motorcycle": "Motocicleta",
+  "airplane": "Avión",
+  "bus": "Autobus",
+  "train": "Tren",
+  "boat": "Barco",
+  "traffic_light": "Semáforo",
+  "fire_hydrant": "Boca de incendios",
+  "street_sign": "Señal de tráfico",
+  "stop_sign": "Señal de stop",
+  "parking_meter": "Parquímetro",
+  "bench": "Banco",
+  "dog": "Perro",
+  "cow": "Vaca",
+  "elephant": "Elefante",
+  "bear": "Oso",
+  "zebra": "Cebra",
+  "giraffe": "Jirafa",
+  "hat": "Sombrero",
+  "backpack": "Mochila",
+  "shoe": "Zapato",
+  "eye_glasses": "Gafas",
+  "handbag": "Bolso de mano",
+  "tie": "Corbata",
+  "suitcase": "Maleta",
+  "frisbee": "Disco Volador",
+  "skis": "Esquís",
+  "sports_ball": "Pelota deportiva",
+  "kite": "Cometa",
+  "baseball_glove": "Guante de béisbol",
+  "skateboard": "Monopatín",
+  "surfboard": "Tabla de surf",
+  "tennis_racket": "Raqueta de tenis",
+  "bottle": "Botella",
+  "plate": "Plato",
+  "wine_glass": "Copa de vino",
+  "cup": "Taza",
+  "fork": "Tenedor",
+  "spoon": "Cuchara",
+  "bowl": "Cuenco",
+  "apple": "Manzana",
+  "orange": "Naranja",
+  "broccoli": "Brócoli",
+  "carrot": "Zanahoria",
+  "hot_dog": "Perrito caliente",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "chair": "Silla",
+  "couch": "Sofá",
+  "potted_plant": "Planta en maceta",
+  "bed": "Cama",
+  "mirror": "Espejo",
+  "dining_table": "Mesa de comedor",
+  "window": "Ventana",
+  "desk": "Escritorio",
+  "toilet": "Inodoro",
+  "door": "Puerta",
+  "laptop": "Portátil",
+  "mouse": "Ratón",
+  "remote": "Mando a distancia",
+  "keyboard": "Teclado",
+  "cell_phone": "Teléfono móvil",
+  "microwave": "Microondas",
+  "toaster": "Tostadora",
+  "sink": "Fregadero",
+  "refrigerator": "Frigorífico",
+  "blender": "Batidora",
+  "clock": "Reloj",
+  "vase": "Jarrón",
+  "scissors": "Tijeras",
+  "teddy_bear": "Osito de peluche",
+  "hair_dryer": "Secador de pelo",
+  "vehicle": "Vehículo",
+  "squirrel": "Ardilla",
+  "deer": "Ciervo",
+  "bark": "Ladrido",
+  "rabbit": "Conejo",
+  "face": "Rostro",
+  "license_plate": "Matrícula",
+  "package": "Paquete",
+  "bbq_grill": "Parrilla de barbacoa",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "umbrella": "Paraguas",
+  "horse": "Caballo",
+  "tv": "Televisión",
+  "on_demand": "Bajo demanda",
+  "toothbrush": "Cepillo de dientes",
+  "hair_brush": "Cepillo de pelo",
+  "amazon": "Amazon",
+  "sheep": "Oveja",
+  "bird": "Pájaro",
+  "knife": "Cuchillo",
+  "cake": "Tarta",
+  "baseball_bat": "Bate de béisbol",
+  "oven": "Horno",
+  "waste_bin": "Papelera",
+  "snowboard": "Snowboard",
+  "sandwich": "Sandwich",
+  "fox": "Zorro",
+  "nzpost": "NZPost",
+  "cat": "Gato",
+  "banana": "Plátano",
+  "book": "Libro",
+  "raccoon": "Mapache",
+  "dpd": "DPD",
+  "goat": "Cabra",
+  "robot_lawnmower": "Cortacésped robotizado",
+  "animal": "Animal",
+  "postnord": "PostNord",
+  "usps": "USPS",
+  "gls": "GLS"
+}
diff --git a/web/public/locales/es/views/configEditor.json b/web/public/locales/es/views/configEditor.json
new file mode 100644
index 000000000..39514ec82
--- /dev/null
+++ b/web/public/locales/es/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Editor de Configuración",
+  "copyConfig": "Copiar configuración",
+  "saveAndRestart": "Guardar y reiniciar",
+  "saveOnly": "Guardar solo",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configuración copiada al portapapeles."
+    },
+    "error": {
+      "savingError": "Error al guardar la configuración"
+    }
+  },
+  "documentTitle": "Editor de Configuración - Frigate",
+  "confirm": "¿Salir sin guardar?"
+}
diff --git a/web/public/locales/es/views/events.json b/web/public/locales/es/views/events.json
new file mode 100644
index 000000000..b06cd92e9
--- /dev/null
+++ b/web/public/locales/es/views/events.json
@@ -0,0 +1,39 @@
+{
+  "alerts": "Alertas",
+  "detections": "Detecciones",
+  "motion": {
+    "label": "Movimiento",
+    "only": "Solo movimiento"
+  },
+  "allCameras": "Todas las cámaras",
+  "empty": {
+    "alert": "No hay alertas para revisar",
+    "detection": "No hay detecciones para revisar",
+    "motion": "No se encontraron datos de movimiento"
+  },
+  "timeline": "Línea de tiempo",
+  "timeline.aria": "Seleccionar línea de tiempo",
+  "events": {
+    "label": "Eventos",
+    "aria": "Seleccionar eventos",
+    "noFoundForTimePeriod": "No se encontraron eventos para este período de tiempo."
+  },
+  "documentTitle": "Revisión - Frigate",
+  "markAsReviewed": "Marcar como revisado",
+  "newReviewItems": {
+    "label": "Ver nuevos elementos de revisión",
+    "button": "Nuevos elementos para revisar"
+  },
+  "camera": "Cámara",
+  "recordings": {
+    "documentTitle": "Grabaciones - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Últimas 24 horas"
+  },
+  "markTheseItemsAsReviewed": "Marcar estos elementos como revisados",
+  "selected": "{{count}} seleccionados",
+  "selected_one": "{{count}} seleccionados",
+  "selected_other": "{{count}} seleccionados",
+  "detected": "detectado"
+}
diff --git a/web/public/locales/es/views/explore.json b/web/public/locales/es/views/explore.json
new file mode 100644
index 000000000..f5fb869e0
--- /dev/null
+++ b/web/public/locales/es/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "Inteligencia Artificial Generativa",
+  "exploreIsUnavailable": {
+    "title": "Explorar no está disponible",
+    "embeddingsReindexing": {
+      "startingUp": "Iniciando…",
+      "estimatedTime": "Tiempo estimado restante:",
+      "finishingShortly": "Finalizando en breve",
+      "step": {
+        "thumbnailsEmbedded": "Miniaturas incrustadas: ",
+        "descriptionsEmbedded": "Descripciones incrustadas: ",
+        "trackedObjectsProcessed": "Objetos rastreados procesados: "
+      },
+      "context": "Explorar puede usarse después de que las incrustaciones de objetos rastreados hayan terminado de reindexarse."
+    },
+    "downloadingModels": {
+      "context": "Frigate está descargando los modelos de incrustaciones necesarios para soportar la función de Búsqueda Semántica. Esto puede tomar varios minutos dependiendo de la velocidad de tu conexión de red.",
+      "error": "Ha ocurrido un error. Revisa los registros de Frigate.",
+      "setup": {
+        "visionModelFeatureExtractor": "Extractor de características del modelo de visión",
+        "visionModel": "Modelo de visión",
+        "textModel": "Modelo de texto",
+        "textTokenizer": "Tokenizador de texto"
+      },
+      "tips": {
+        "context": "Es posible que desees reindexar las incrustaciones de tus objetos rastreados una vez que se hayan descargado los modelos.",
+        "documentation": "Leer la documentación"
+      }
+    }
+  },
+  "details": {
+    "timestamp": "Marca de tiempo",
+    "item": {
+      "title": "Detalles del elemento de revisión",
+      "desc": "Detalles del elemento de revisión",
+      "button": {
+        "share": "Compartir este elemento de revisión",
+        "viewInExplore": "Ver en Explorar"
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Subetiqueta actualizada con éxito.",
+          "regenerate": "Se ha solicitado una nueva descripción a {{provider}}. Dependiendo de la velocidad de tu proveedor, la nueva descripción puede tardar algún tiempo en regenerarse.",
+          "updatedLPR": "Matrícula actualizada con éxito."
+        },
+        "error": {
+          "regenerate": "No se pudo llamar a {{provider}} para una nueva descripción: {{errorMessage}}",
+          "updatedSublabelFailed": "No se pudo actualizar la subetiqueta: {{errorMessage}}",
+          "updatedLPRFailed": "No se pudo actualizar la matrícula: {{errorMessage}}"
+        }
+      },
+      "tips": {
+        "mismatch_one": "Se detectó y se incluyó en este elemento de revisión un objeto {{count}} no disponible. Esos objetos no calificaron como alerta o detección o ya han sido limpiados/eliminados.",
+        "mismatch_many": "Se detectaron y se incluyeron en este elemento de revisión {{count}} objetos no disponibles. Esos objetos no calificaron como alerta o detección o ya han sido limpiados/eliminados.",
+        "mismatch_other": "Se detectaron y se incluyeron en este elemento de revisión {{count}} objetos no disponibles. Esos objetos no calificaron como alerta o detección o ya han sido limpiados/eliminados.",
+        "hasMissingObjects": "Ajusta tu configuración si quieres que Frigate guarde los objetos rastreados para las siguientes etiquetas: <em>{{objects}}</em>"
+      }
+    },
+    "topScore": {
+      "label": "Puntuación máxima",
+      "info": "La puntuación máxima es la mediana más alta para el objeto rastreado, por lo que puede diferir de la puntuación mostrada en la miniatura del resultado de búsqueda."
+    },
+    "description": {
+      "aiTips": "Frigate no solicitará una descripción a tu proveedor de Inteligencia Artificial Generativa hasta que el ciclo de vida del objeto rastreado haya terminado.",
+      "placeholder": "Descripción del objeto rastreado",
+      "label": "Descripción"
+    },
+    "expandRegenerationMenu": "Expandir menú de regeneración",
+    "regenerateFromSnapshot": "Regenerar desde captura de pantalla",
+    "regenerateFromThumbnails": "Regenerar desde miniaturas",
+    "tips": {
+      "descriptionSaved": "Descripción guardada con éxito",
+      "saveDescriptionFailed": "No se pudo actualizar la descripción: {{errorMessage}}"
+    },
+    "zones": "Zonas",
+    "label": "Etiqueta",
+    "editSubLabel": {
+      "title": "Editar subetiqueta",
+      "descNoLabel": "Introduce una nueva subetiqueta para este objeto rastreado",
+      "desc": "Introduce una nueva subetiqueta para este {{label}}"
+    },
+    "button": {
+      "regenerate": {
+        "label": "Regenerar descripción del objeto rastreado",
+        "title": "Regenerar"
+      },
+      "findSimilar": "Buscar similares"
+    },
+    "objects": "Objetos",
+    "estimatedSpeed": "Velocidad estimada",
+    "camera": "Cámara",
+    "editLPR": {
+      "title": "Editar matrícula",
+      "desc": "Introduce un nuevo valor de matrícula para este {{label}}",
+      "descNoLabel": "Introduce un nuevo valor de matrícula para este objeto rastreado"
+    },
+    "recognizedLicensePlate": "Matrícula Reconocida",
+    "snapshotScore": {
+      "label": "Puntuación de Instantánea"
+    }
+  },
+  "documentTitle": "Explorar - Frigate",
+  "trackedObjectDetails": "Detalles del objeto rastreado",
+  "type": {
+    "snapshot": "captura instantánea",
+    "video": "vídeo",
+    "object_lifecycle": "ciclo de vida del objeto",
+    "details": "detalles"
+  },
+  "objectLifecycle": {
+    "title": "Ciclo de vida del objeto",
+    "noImageFound": "No se encontró ninguna imagen para esta marca de tiempo.",
+    "createObjectMask": "Crear máscara de objeto",
+    "adjustAnnotationSettings": "Ajustar configuración de anotaciones",
+    "scrollViewTips": "Desplázate para ver los momentos significativos del ciclo de vida de este objeto.",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} detectado",
+      "entered_zone": "{{label}} entró en {{zones}}",
+      "attribute": {
+        "other": "{{label}} reconocido como {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} detectado para {{label}}"
+      },
+      "gone": "{{label}} salió",
+      "heard": "{{label}} escuchado",
+      "external": "{{label}} detectado",
+      "active": "{{label}} se activó",
+      "stationary": "{{label}} se volvió estacionario",
+      "header": {
+        "zones": "Zonas",
+        "ratio": "Proporción",
+        "area": "Área"
+      }
+    },
+    "annotationSettings": {
+      "offset": {
+        "label": "Desplazamiento de anotación",
+        "millisecondsToOffset": "Milisegundos para desplazar las anotaciones de detección. <em>Valor por defecto: 0</em>",
+        "desc": "Estos datos provienen de la transmisión de detección de tu cámara, pero se superponen en imágenes de la transmisión de grabación. Es poco probable que ambas transmisiones estén perfectamente sincronizadas. Como resultado, la caja delimitadora y la grabación no estarán perfectamente alineadas. Sin embargo, el campo <code>annotation_offset</code> se puede usar para ajustar esto.",
+        "documentation": "Leer la documentación ",
+        "tips": "CONSEJO: Imagina que hay un clip de evento con una persona caminando de izquierda a derecha. Si la caja delimitadora de la línea de tiempo del evento está constantemente a la izquierda de la persona, entonces se debe disminuir el valor. Del mismo modo, si una persona camina de izquierda a derecha y la caja delimitadora está constantemente por delante de la persona, entonces se debe aumentar el valor.",
+        "toast": {
+          "success": "El desplazamiento de anotación para {{camera}} se ha guardado en el archivo de configuración. Reinicia Frigate para aplicar los cambios."
+        }
+      },
+      "showAllZones": {
+        "title": "Mostrar todas las zonas",
+        "desc": "Mostrar siempre las zonas en los fotogramas donde los objetos hayan entrado en una zona."
+      },
+      "title": "Configuración de anotaciones"
+    },
+    "carousel": {
+      "previous": "Diapositiva anterior",
+      "next": "Siguiente diapositiva"
+    },
+    "autoTrackingTips": "Las posiciones de las cajas delimitadoras serán inexactas para cámaras con seguimiento automático.",
+    "count": "{{first}} de {{second}}",
+    "trackedPoint": "Punto Rastreado"
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Descargar video",
+      "aria": "Descargar video"
+    },
+    "downloadSnapshot": {
+      "label": "Descargar captura de pantalla",
+      "aria": "Descargar captura de pantalla"
+    },
+    "viewObjectLifecycle": {
+      "label": "Ver ciclo de vida del objeto",
+      "aria": "Mostrar el ciclo de vida del objeto"
+    },
+    "findSimilar": {
+      "label": "Buscar similares",
+      "aria": "Buscar objetos rastreados similares"
+    },
+    "submitToPlus": {
+      "label": "Enviar a Frigate+",
+      "aria": "Enviar a Frigate Plus"
+    },
+    "viewInHistory": {
+      "aria": "Ver en Historial",
+      "label": "Ver en Historial"
+    },
+    "deleteTrackedObject": {
+      "label": "Eliminar este objeto rastreado"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirmar eliminación",
+      "desc": "Eliminar este objeto rastreado elimina la captura de pantalla, cualquier incrustación guardada y cualquier entrada asociada al ciclo de vida del objeto. Las grabaciones de este objeto rastreado en la vista de Historial <em>NO</em> se eliminarán.<br /><br />¿Estás seguro de que quieres proceder?"
+    }
+  },
+  "noTrackedObjects": "No se encontraron objetos rastreados",
+  "fetchingTrackedObjectsFailed": "Error al obtener objetos rastreados: {{errorMessage}}",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Objeto rastreado eliminado con éxito.",
+        "error": "No se pudo eliminar el objeto rastreado: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Coincidencia con {{type}} al {{confidence}}%"
+  },
+  "trackedObjectsCount_one": "{{count}} objeto rastreado ",
+  "trackedObjectsCount_many": "{{count}} objetos rastreados ",
+  "trackedObjectsCount_other": "{{count}} objetos rastreados ",
+  "exploreMore": "Explora más objetos {{label}}"
+}
diff --git a/web/public/locales/es/views/exports.json b/web/public/locales/es/views/exports.json
new file mode 100644
index 000000000..b3b686cae
--- /dev/null
+++ b/web/public/locales/es/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Búsqueda",
+  "documentTitle": "Exportar - Frigate",
+  "noExports": "No se encontraron exportaciones",
+  "deleteExport": "Eliminar exportación",
+  "editExport": {
+    "desc": "Introduce un nuevo nombre para esta exportación.",
+    "saveExport": "Guardar exportación",
+    "title": "Renombrar exportación"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "No se pudo renombrar la exportación: {{errorMessage}}"
+    }
+  },
+  "deleteExport.desc": "¿Estás seguro de que quieres eliminar {{exportName}}?"
+}
diff --git a/web/public/locales/es/views/faceLibrary.json b/web/public/locales/es/views/faceLibrary.json
new file mode 100644
index 000000000..5fe5baec4
--- /dev/null
+++ b/web/public/locales/es/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "description": {
+    "addFace": "Guía para agregar una nueva colección a la Biblioteca de Rostros.",
+    "placeholder": "Introduce un nombre para esta colección",
+    "invalidName": "Nombre inválido. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos y guiones."
+  },
+  "details": {
+    "person": "Persona",
+    "confidence": "Confianza",
+    "face": "Detalles del rostro",
+    "faceDesc": "Detalles del objeto rastreado que generó este rostro",
+    "timestamp": "Marca de tiempo",
+    "subLabelScore": "Puntuación de Etiqueta Secundaria",
+    "scoreInfo": "La puntuación de etiqueta secundaria es la puntuación ponderada de todas las confidencias de rostros reconocidos, por lo que puede diferir de la puntuación mostrada en la instantánea.",
+    "unknown": "Desconocido"
+  },
+  "documentTitle": "Biblioteca de Rostros - Frigate",
+  "uploadFaceImage": {
+    "title": "Subir imagen del rostro",
+    "desc": "Sube una imagen para escanear rostros e incluirla en {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Crear colección",
+    "desc": "Crear una nueva colección",
+    "new": "Crear nuevo rostro",
+    "nextSteps": "Para construir una base sólida: <li>Usa la pestaña Entrenar para seleccionar y entrenar con imágenes de cada persona detectada.</li> <li>Enfócate en imágenes frontales para obtener los mejores resultados; evita entrenar con imágenes que capturen rostros en ángulo.</li>"
+  },
+  "train": {
+    "title": "Entrenar",
+    "aria": "Seleccionar entrenamiento",
+    "empty": "No hay intentos recientes de reconocimiento facial"
+  },
+  "selectItem": "Seleccionar {{item}}",
+  "selectFace": "Seleccionar rostro",
+  "deleteFaceLibrary": {
+    "title": "Eliminar nombre",
+    "desc": "¿Estás seguro de que quieres eliminar la colección {{name}}? Esto eliminará permanentemente todos los rostros asociados."
+  },
+  "button": {
+    "deleteFaceAttempts": "Eliminar Rostros",
+    "addFace": "Agregar rostro",
+    "uploadImage": "Subir imagen",
+    "reprocessFace": "Reprocesar rostro",
+    "renameFace": "Renombrar Rostro",
+    "deleteFace": "Eliminar Rostro"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Por favor, selecciona un archivo de imagen."
+    },
+    "dropActive": "Suelta la imagen aquí…",
+    "dropInstructions": "Arrastra y suelta una imagen aquí, o haz clic para seleccionar",
+    "maxSize": "Tamaño máximo: {{size}}MB"
+  },
+  "toast": {
+    "success": {
+      "addFaceLibrary": "¡{{name}} ha sido añadido con éxito a la Biblioteca de Rostros!",
+      "trainedFace": "Rostro entrenado con éxito.",
+      "deletedName_one": "{{count}} rostro ha sido eliminado con éxito.",
+      "deletedName_many": "{{count}} rostros han sido eliminados con éxito.",
+      "deletedName_other": "{{count}} rostros han sido eliminados con éxito.",
+      "updatedFaceScore": "Puntuación del rostro actualizada con éxito.",
+      "deletedFace_one": "{{count}} rostro eliminado con éxito",
+      "deletedFace_many": "{{count}} rostros eliminados con éxito",
+      "deletedFace_other": "{{count}} rostros eliminados con éxito",
+      "uploadedImage": "Imagen subida con éxito.",
+      "renamedFace": "Rostro renombrado con éxito a {{name}}"
+    },
+    "error": {
+      "uploadingImageFailed": "No se pudo subir la imagen: {{errorMessage}}",
+      "addFaceLibraryFailed": "No se pudo establecer el nombre del rostro: {{errorMessage}}",
+      "deleteFaceFailed": "No se pudo eliminar: {{errorMessage}}",
+      "deleteNameFailed": "No se pudo eliminar el nombre: {{errorMessage}}",
+      "trainFailed": "No se pudo entrenar: {{errorMessage}}",
+      "updateFaceScoreFailed": "No se pudo actualizar la puntuación del rostro: {{errorMessage}}",
+      "renameFaceFailed": "No se pudo renombrar el rostro: {{errorMessage}}"
+    }
+  },
+  "readTheDocs": "Leer la documentación",
+  "trainFaceAs": "Entrenar rostro como:",
+  "trainFace": "Entrenar rostro",
+  "steps": {
+    "faceName": "Introducir Nombre de Rostro",
+    "uploadFace": "Subir Imagen de Rostro",
+    "nextSteps": "Próximos Pasos",
+    "description": {
+      "uploadFace": "Sube una imagen de {{name}} que muestre su rostro desde un ángulo frontal. La imagen no necesita estar recortada solo a su rostro."
+    }
+  },
+  "renameFace": {
+    "title": "Renombrar Rostro",
+    "desc": "Introduce un nuevo nombre para {{name}}"
+  },
+  "deleteFaceAttempts": {
+    "title": "Eliminar Rostros",
+    "desc_one": "¿Estás seguro de que quieres eliminar {{count}} rostro? Esta acción no se puede deshacer.",
+    "desc_many": "¿Estás seguro de que quieres eliminar {{count}} rostros? Esta acción no se puede deshacer.",
+    "desc_other": "¿Estás seguro de que quieres eliminar {{count}} rostros? Esta acción no se puede deshacer."
+  },
+  "collections": "Colecciones",
+  "nofaces": "No hay rostros disponibles",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/es/views/live.json b/web/public/locales/es/views/live.json
new file mode 100644
index 000000000..8191aebb8
--- /dev/null
+++ b/web/public/locales/es/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Directo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Directo - Frigate",
+  "twoWayTalk": {
+    "enable": "Habilitar conversación bidireccional",
+    "disable": "Deshabilitar conversación bidireccional"
+  },
+  "cameraAudio": {
+    "enable": "Habilitar audio de la cámara",
+    "disable": "Deshabilitar audio de la cámara"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Haz clic en el marco para centrar la cámara",
+        "enable": "Habilitar clic para mover",
+        "disable": "Deshabilitar clic para mover"
+      },
+      "up": {
+        "label": "Mover la cámara PTZ hacia arriba"
+      },
+      "down": {
+        "label": "Mover la cámara PTZ hacia abajo"
+      },
+      "right": {
+        "label": "Mover la cámara PTZ hacia la derecha"
+      },
+      "left": {
+        "label": "Mover la cámara PTZ hacia la izquierda"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Acercar la cámara PTZ"
+      },
+      "out": {
+        "label": "Alejar la cámara PTZ"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Haz clic en el marco para centrar la cámara PTZ"
+      }
+    },
+    "presets": "Preajustes de cámara PTZ"
+  },
+  "camera": {
+    "enable": "Habilitar cámara",
+    "disable": "Deshabilitar cámara"
+  },
+  "muteCameras": {
+    "enable": "Silenciar todas las cámaras",
+    "disable": "Activar sonido de todas las cámaras"
+  },
+  "detect": {
+    "enable": "Habilitar detección",
+    "disable": "Deshabilitar detección"
+  },
+  "recording": {
+    "enable": "Habilitar grabación",
+    "disable": "Deshabilitar grabación"
+  },
+  "snapshots": {
+    "enable": "Habilitar capturas de pantalla",
+    "disable": "Desactivar instantáneas"
+  },
+  "audioDetect": {
+    "enable": "Activar detección de audio",
+    "disable": "Desactivar detección de audio"
+  },
+  "autotracking": {
+    "enable": "Activar seguimiento automático",
+    "disable": "Desactivar seguimiento automático"
+  },
+  "streamStats": {
+    "enable": "Mostrar estadísticas de transmisión",
+    "disable": "Ocultar estadísticas de transmisión"
+  },
+  "manualRecording": {
+    "title": "Grabación bajo demanda",
+    "tips": "Iniciar un evento manual basado en la configuración de retención de grabaciones de esta cámara.",
+    "playInBackground": {
+      "label": "Reproducir en segundo plano",
+      "desc": "Habilitar esta opción para continuar transmitiendo cuando el reproductor esté oculto."
+    },
+    "showStats": {
+      "label": "Mostrar estadísticas",
+      "desc": "Habilitar esta opción para mostrar estadísticas de transmisión como una superposición en la transmisión de la cámara."
+    },
+    "debugView": "Vista de depuración",
+    "started": "Grabación manual bajo demanda iniciada.",
+    "failedToStart": "No se pudo iniciar la grabación manual bajo demanda.",
+    "start": "Iniciar grabación bajo demanda",
+    "recordDisabledTips": "Dado que la grabación está deshabilitada o restringida en la configuración de esta cámara, solo se guardará una captura de pantalla.",
+    "end": "Finalizar grabación bajo demanda",
+    "ended": "Finalizó la grabación manual bajo demanda.",
+    "failedToEnd": "No se pudo finalizar la grabación manual bajo demanda."
+  },
+  "lowBandwidthMode": "Modo de bajo ancho de banda",
+  "streamingSettings": "Ajustes de transmisión",
+  "notifications": "Notificaciones",
+  "audio": "Audio",
+  "suspend": {
+    "forTime": "Suspender por: "
+  },
+  "stream": {
+    "title": "Transmisión",
+    "audio": {
+      "tips": {
+        "documentation": "Leer la documentación ",
+        "title": "El audio debe provenir de tu cámara y estar configurado en go2rtc para esta transmisión."
+      },
+      "available": "El audio está disponible para esta transmisión",
+      "unavailable": "El audio no está disponible para esta transmisión"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Leer la documentación ",
+      "available": "La conversación bidireccional está disponible para esta transmisión",
+      "unavailable": "La conversación bidireccional está disponible para esta transmisión",
+      "tips": "Tu dispositivo debe soportar la función y WebRTC debe estar configurado para la conversación bidireccional."
+    },
+    "lowBandwidth": {
+      "tips": "La vista en vivo está en modo de bajo ancho de banda debido a problemas de almacenamiento en búfer o errores de transmisión.",
+      "resetStream": "Restablecer transmisión"
+    },
+    "playInBackground": {
+      "label": "Reproducir en segundo plano",
+      "tips": "Habilita esta opción para continuar la transmisión cuando el reproductor esté oculto."
+    }
+  },
+  "cameraSettings": {
+    "title": "Ajustes de {{camera}}",
+    "objectDetection": "Detección de objetos",
+    "audioDetection": "Detección de audio",
+    "recording": "Grabación",
+    "snapshots": "Capturas de pantalla",
+    "autotracking": "Seguimiento automático",
+    "cameraEnabled": "Cámara habilitada"
+  },
+  "history": {
+    "label": "Mostrar grabaciones históricas"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "motion": "Movimiento",
+      "active_objects": "Objetos activos",
+      "all": "Todo"
+    },
+    "notAllTips": "Tu configuración de retención de grabación de {{source}} está establecida en <code>modo: {{effectiveRetainMode}}</code>, por lo que esta grabación bajo demanda solo mantendrá segmentos con {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Editar diseño",
+    "group": {
+      "label": "Editar grupo de cámaras"
+    },
+    "exitEdit": "Salir de la edición"
+  }
+}
diff --git a/web/public/locales/es/views/recording.json b/web/public/locales/es/views/recording.json
new file mode 100644
index 000000000..ad362aab0
--- /dev/null
+++ b/web/public/locales/es/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Exportar",
+  "calendar": "Calendario",
+  "filter": "Filtro",
+  "filters": "Filtros",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "No se ha seleccionado un rango de tiempo válido",
+      "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio"
+    }
+  }
+}
diff --git a/web/public/locales/es/views/search.json b/web/public/locales/es/views/search.json
new file mode 100644
index 000000000..7458c491d
--- /dev/null
+++ b/web/public/locales/es/views/search.json
@@ -0,0 +1,74 @@
+{
+  "search": "Búsqueda",
+  "savedSearches": "Búsquedas Guardadas",
+  "searchFor": "Búsqueda de {{inputValue}}",
+  "button": {
+    "save": "Guardar búsqueda",
+    "delete": "Eliminar búsqueda guardada",
+    "clear": "Borrar búsqueda",
+    "filterInformation": "Información de filtro",
+    "filterActive": "Filtros activos"
+  },
+  "trackedObjectId": "ID de Objeto Rastreado",
+  "filter": {
+    "label": {
+      "cameras": "Cámaras",
+      "labels": "Etiquetas",
+      "zones": "Zonas",
+      "sub_labels": "Subetiquetas",
+      "search_type": "Tipo de Búsqueda",
+      "time_range": "Rango de Tiempo",
+      "before": "Antes",
+      "after": "Después",
+      "min_score": "Puntuación Mínima",
+      "max_score": "Puntuación Máxima",
+      "min_speed": "Velocidad Mínima",
+      "max_speed": "Velocidad Máxima",
+      "recognized_license_plate": "Matrícula Reconocida",
+      "has_clip": "Tiene Clip",
+      "has_snapshot": "Tiene Instantánea"
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Descripción"
+    },
+    "toast": {
+      "error": {
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "La 'velocidad máxima' debe ser mayor o igual que la 'velocidad mínima'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "La 'puntuación máxima' debe ser mayor o igual que la 'puntuación mínima'.",
+        "beforeDateBeLaterAfter": "La fecha 'antes' debe ser posterior a la fecha 'después'.",
+        "minScoreMustBeLessOrEqualMaxScore": "La 'puntuación mínima' debe ser menor o igual que la 'puntuación máxima'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "La 'velocidad mínima' debe ser menor o igual que la 'velocidad máxima'.",
+        "afterDatebeEarlierBefore": "La fecha 'después' debe ser anterior a la fecha 'antes'."
+      }
+    },
+    "tips": {
+      "title": "Cómo usar filtros de texto",
+      "desc": {
+        "text": "Los filtros te ayudan a reducir los resultados de tu búsqueda. Aquí te explicamos cómo usarlos en el campo de entrada:",
+        "example": "Ejemplo: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Escribe un nombre de filtro seguido de dos puntos (por ejemplo, \"cameras:\").</li><li>Selecciona un valor de las sugerencias o escribe el tuyo propio.</li><li>Usa múltiples filtros añadiéndolos uno tras otro con un espacio entre ellos.</li><li>Los filtros de fecha (before: y after:) usan el formato <em>{{DateFormat}}</em>.</li><li>El filtro de rango de tiempo usa el formato <em>{{exampleTime}}</em>.</li><li>Elimina filtros haciendo clic en la 'x' junto a ellos.</li></ul>",
+        "step4": "Los filtros de fecha (antes: y después:) usan el formato {{DateFormat}}.",
+        "step6": "Elimina filtros haciendo clic en la 'x' junto a ellos.",
+        "exampleLabel": "Ejemplo:",
+        "step1": "Escribe un nombre de clave de filtro seguido de dos puntos (por ejemplo, \"cámaras:\").",
+        "step2": "Selecciona un valor de las sugerencias o escribe el tuyo propio.",
+        "step3": "Usa múltiples filtros añadiéndolos uno tras otro con un espacio entre ellos.",
+        "step5": "El filtro de rango de tiempo usa el formato {{exampleTime}}."
+      }
+    },
+    "header": {
+      "currentFilterType": "Valores de Filtro",
+      "noFilters": "Filtros",
+      "activeFilters": "Filtros Activos"
+    }
+  },
+  "similaritySearch": {
+    "title": "Búsqueda por Similitud",
+    "active": "Búsqueda por similitud activa",
+    "clear": "Borrar búsqueda por similitud"
+  },
+  "placeholder": {
+    "search": "Buscar…"
+  }
+}
diff --git a/web/public/locales/es/views/settings.json b/web/public/locales/es/views/settings.json
new file mode 100644
index 000000000..6950c7999
--- /dev/null
+++ b/web/public/locales/es/views/settings.json
@@ -0,0 +1,687 @@
+{
+  "documentTitle": {
+    "masksAndZones": "Editor de máscaras y zonas - Frigate",
+    "object": "Depurar - Frigate",
+    "default": "Configuración - Frigate",
+    "authentication": "Configuración de autenticación - Frigate",
+    "camera": "Configuración de cámara - Frigate",
+    "motionTuner": "Ajuste de movimiento - Frigate",
+    "classification": "Configuración de clasificación - Frigate",
+    "general": "Configuración General - Frigate",
+    "frigatePlus": "Configuración de Frigate+ - Frigate",
+    "notifications": "Configuración de Notificaciones - Frigate",
+    "enrichments": "Configuración de Análisis Avanzado - Frigate"
+  },
+  "menu": {
+    "cameras": "Configuración de Cámara",
+    "debug": "Depuración",
+    "ui": "Interfaz de usuario",
+    "classification": "Clasificación",
+    "motionTuner": "Ajuste de movimiento",
+    "masksAndZones": "Máscaras / Zonas",
+    "frigateplus": "Frigate+",
+    "users": "Usuarios",
+    "notifications": "Notificaciones",
+    "enrichments": "Análisis avanzado"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Tienes cambios sin guardar.",
+      "desc": "¿Quieres guardar los cambios antes de continuar?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Cámara",
+    "noCamera": "Sin cámara"
+  },
+  "general": {
+    "liveDashboard": {
+      "automaticLiveView": {
+        "label": "Vista en directo automática",
+        "desc": "Cambiar automáticamente a la vista en directo de una cámara cuando se detecta actividad. Si se desactiva esta opción, las imágenes de las cámaras en el panel en directo solo se actualizarán una vez por minuto."
+      },
+      "playAlertVideos": {
+        "label": "Reproducir vídeos de alertas",
+        "desc": "De forma predeterminada, las alertas recientes en el panel en directo se reproducen como pequeños vídeos en bucle. Desactiva esta opción para mostrar solo una imagen estática de las alertas recientes en este dispositivo/navegador."
+      },
+      "title": "Panel en directo"
+    },
+    "cameraGroupStreaming": {
+      "desc": "La configuración de transmisión de cada grupo de cámaras se guarda en el almacenamiento local de tu navegador.",
+      "title": "Configuración de transmisión de grupo de cámaras",
+      "clearAll": "Borrar toda la configuración de transmisión"
+    },
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "label": "Velocidad de reproducción predeterminada",
+        "desc": "Velocidad de reproducción predeterminada para la reproducción de grabaciones."
+      },
+      "title": "Visor de grabaciones"
+    },
+    "calendar": {
+      "firstWeekday": {
+        "label": "Primer día de la semana",
+        "sunday": "Domingo",
+        "desc": "El día con el que comienzan las semanas en el calendario de revisión.",
+        "monday": "Lunes"
+      },
+      "title": "Calendario"
+    },
+    "storedLayouts": {
+      "desc": "El diseño de las cámaras en un grupo de cámaras se puede arrastrar y redimensionar. Las posiciones se guardan en el almacenamiento local de tu navegador.",
+      "title": "Diseños guardados",
+      "clearAll": "Borrar todos los diseños"
+    },
+    "title": "Configuración general",
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Diseño almacenado eliminado para {{cameraName}}",
+        "clearStreamingSettings": "Se ha borrado la configuración de transmisión de todos los grupos de cámaras."
+      },
+      "error": {
+        "clearStreamingSettingsFailed": "Error al borrar la configuración de transmisión: {{errorMessage}}",
+        "clearStoredLayoutFailed": "Error al borrar el diseño guardado: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "semanticSearch": {
+      "title": "Búsqueda semántica",
+      "desc": "La búsqueda semántica en Frigate te permite encontrar objetos rastreados dentro de tus elementos de revisión utilizando la propia imagen, una descripción escrita por el usuario o una generada automáticamente.",
+      "readTheDocumentation": "Leer la documentación",
+      "reindexNow": {
+        "confirmTitle": "Confirmar reindexación",
+        "confirmButton": "Reindexar",
+        "success": "La reindexación comenzó con éxito.",
+        "label": "Reindexar ahora",
+        "desc": "La reindexación regenerará las incrustaciones para todos los objetos rastreados. Este proceso se ejecuta en segundo plano y puede maximizar el uso de tu CPU y tomar una cantidad considerable de tiempo dependiendo del número de objetos rastreados que tengas.",
+        "confirmDesc": "¿Estás seguro de que quieres reindexar todas las incrustaciones de objetos rastreados? Este proceso se ejecutará en segundo plano, pero puede maximizar el uso de tu CPU y tomar una cantidad considerable de tiempo. Puedes ver el progreso en la página de Explorar.",
+        "alreadyInProgress": "La reindexación ya está en curso.",
+        "error": "No se pudo iniciar la reindexación: {{errorMessage}}"
+      },
+      "modelSize": {
+        "small": {
+          "desc": "Usar <em>pequeño</em> emplea una versión cuantizada del modelo que utiliza menos RAM y se ejecuta más rápido en la CPU con una diferencia muy insignificante en la calidad de las incrustaciones.",
+          "title": "pequeño"
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> emplea el modelo completo de Jina y se ejecutará automáticamente en la GPU si es aplicable."
+        },
+        "label": "Tamaño del modelo",
+        "desc": "El tamaño del modelo utilizado para las incrustaciones de búsqueda semántica."
+      }
+    },
+    "title": "Configuración de clasificación",
+    "faceRecognition": {
+      "title": "Reconocimiento facial",
+      "modelSize": {
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> emplea un modelo de incrustación facial ArcFace y se ejecutará automáticamente en la GPU si es aplicable."
+        },
+        "small": {
+          "desc": "Usar <em>pequeño</em> emplea un modelo de incrustación facial FaceNet que se ejecuta de manera eficiente en la mayoría de las CPUs.",
+          "title": "pequeño"
+        },
+        "label": "Tamaño del modelo",
+        "desc": "El tamaño del modelo utilizado para el reconocimiento facial."
+      },
+      "readTheDocumentation": "Leer la documentación",
+      "desc": "El reconocimiento facial permite asignar nombres a las personas y, cuando se reconoce su rostro, Frigate asignará el nombre de la persona como una subetiqueta. Esta información se incluye en la interfaz de usuario, los filtros y también en las notificaciones."
+    },
+    "licensePlateRecognition": {
+      "title": "Reconocimiento de matrículas",
+      "desc": "Frigate puede reconocer matrículas en vehículos y agregar automáticamente los caracteres detectados al campo recognized_license_plate o un nombre conocido como subetiqueta a objetos que sean del tipo coche. Un caso de uso común puede ser leer las matrículas de los coches que entran en un camino de entrada o de los coches que pasan por una calle.",
+      "readTheDocumentation": "Leer la documentación"
+    },
+    "toast": {
+      "success": "Los ajustes de clasificación han sido guardados. Reinicia Frigate para aplicar tus cambios.",
+      "error": "No se pudieron guardar los cambios de configuración: {{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "Clasificación de Aves",
+      "desc": "La clasificación de aves identifica aves conocidas utilizando un modelo de TensorFlow cuantizado. Cuando se reconoce una ave conocida, su nombre común se añadirá como una subetiqueta. Esta información se incluye en la interfaz de usuario, en los filtros y en las notificaciones."
+    },
+    "restart_required": "Es necesario reiniciar (se han cambiado las configuraciones de clasificación)",
+    "unsavedChanges": "Cambios en la configuración de clasificación no guardados"
+  },
+  "camera": {
+    "review": {
+      "alerts": "Alertas ",
+      "desc": "Activar/desactivar temporalmente las alertas y detecciones para esta cámara hasta que Frigate se reinicie. Cuando está desactivado, no se generarán nuevos elementos de revisión. ",
+      "detections": "Detecciones ",
+      "title": "Revisar"
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "Leer la documentación",
+      "noDefinedZones": "No se han definido zonas para esta cámara.",
+      "selectAlertsZones": "Seleccionar zonas para Alertas",
+      "zoneObjectDetectionsTips": {
+        "regardlessOfZoneObjectDetectionsTips": "Todos los objetos {{detectionsLabels}} no categorizados en {{cameraName}} se mostrarán como Detecciones, independientemente de en qué zona se encuentren.",
+        "text": "Todos los objetos {{detectionsLabels}} no categorizados en {{zone}} en {{cameraName}} se mostrarán como Detecciones.",
+        "notSelectDetections": "Todos los objetos {{detectionsLabels}} detectados en {{zone}} en {{cameraName}} que no estén categorizados como Alertas se mostrarán como Detecciones, independientemente de en qué zona se encuentren."
+      },
+      "desc": "Frigate clasifica los elementos de revisión como Alertas y Detecciones. Por defecto, todos los objetos <em>persona</em> y <em>coche</em> se consideran Alertas. Puedes refinar la categorización de tus elementos de revisión configurando zonas requeridas para ellos.",
+      "objectDetectionsTips": "Todos los objetos {{detectionsLabels}} no categorizados en {{cameraName}} se mostrarán como Detecciones, independientemente de en qué zona se encuentren.",
+      "zoneObjectAlertsTips": "Todos los objetos {{alertsLabels}} detectados en {{zone}} en {{cameraName}} se mostrarán como Alertas.",
+      "title": "Clasificación de revisión",
+      "objectAlertsTips": "Todos los objetos {{alertsLabels}} en {{cameraName}} se mostrarán como Alertas.",
+      "selectDetectionsZones": "Seleccionar zonas para Detecciones",
+      "limitDetections": "Limitar detecciones a zonas específicas",
+      "toast": {
+        "success": "La configuración de clasificación de revisión ha sido guardada. Reinicia Frigate para aplicar los cambios."
+      },
+      "unsavedChanges": "Configuración de clasificación de revisión no guardada para {{camera}}"
+    },
+    "title": "Ajustes de la cámara",
+    "streams": {
+      "title": "Transmisiones",
+      "desc": "Desactivar temporalmente una cámara hasta que Frigate se reinicie. Desactivar una cámara detiene por completo el procesamiento de las transmisiones de esta cámara por parte de Frigate. La detección, grabación y depuración no estarán disponibles.<br /> <em>Nota: Esto no desactiva las retransmisiones de go2rtc.</em>"
+    }
+  },
+  "masksAndZones": {
+    "form": {
+      "zoneName": {
+        "error": {
+          "alreadyExists": "Ya existe una zona con este nombre para esta cámara.",
+          "mustNotBeSameWithCamera": "El nombre de la zona no debe ser el mismo que el nombre de la cámara.",
+          "hasIllegalCharacter": "El nombre de la zona contiene caracteres no permitidos.",
+          "mustBeAtLeastTwoCharacters": "El nombre de la zona debe tener al menos 2 caracteres.",
+          "mustNotContainPeriod": "El nombre de la zona no debe contener puntos."
+        }
+      },
+      "distance": {
+        "error": {
+          "mustBeFilled": "Todos los campos de distancia deben estar completados para usar la estimación de velocidad.",
+          "text": "La distancia debe ser mayor o igual a 0.1."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "La inercia debe ser mayor a 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "El tiempo de merodeo debe ser mayor o igual a 0."
+        }
+      },
+      "polygonDrawing": {
+        "snapPoints": {
+          "true": "Ajustar puntos",
+          "false": "No ajustar puntos"
+        },
+        "delete": {
+          "desc": "¿Estás seguro de que quieres eliminar el {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} ha sido eliminado.",
+          "title": "Confirmar eliminación"
+        },
+        "error": {
+          "mustBeFinished": "El dibujo del polígono debe estar terminado antes de guardar."
+        },
+        "reset": {
+          "label": "Borrar todos los puntos"
+        },
+        "removeLastPoint": "Eliminar el último punto"
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "El umbral de velocidad debe ser mayor o igual a 0,1."
+        }
+      }
+    },
+    "zones": {
+      "label": "Zonas",
+      "desc": {
+        "title": "Las zonas te permiten definir un área específica del cuadro para que puedas determinar si un objeto está o no dentro de un área particular.",
+        "documentation": "Documentación"
+      },
+      "add": "Agregar zona",
+      "edit": "Editar zona",
+      "loiteringTime": {
+        "title": "Tiempo de merodeo",
+        "desc": "Establece una cantidad mínima de tiempo en segundos que el objeto debe estar en la zona para que se active. <em>Predeterminado: 0</em>"
+      },
+      "objects": {
+        "title": "Objetos",
+        "desc": "Lista de objetos que aplican a esta zona."
+      },
+      "inertia": {
+        "desc": "Especifica cuántos fotogramas debe estar un objeto en una zona antes de que se considere que está en la zona. <em>Predeterminado: 3</em>",
+        "title": "Inercia"
+      },
+      "name": {
+        "title": "Nombre",
+        "inputPlaceHolder": "Introduce un nombre…",
+        "tips": "El nombre debe tener al menos 2 caracteres y no debe ser el nombre de una cámara ni de otra zona."
+      },
+      "documentTitle": "Editar Zona - Frigate",
+      "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen.",
+      "speedEstimation": {
+        "desc": "Habilitar la estimación de velocidad para objetos en esta zona. La zona debe tener exactamente 4 puntos.",
+        "title": "Estimación de velocidad",
+        "docs": "Leer la documentación",
+        "lineBDistance": "Distancia de la línea B ({{unit}})",
+        "lineCDistance": "Distancia de la línea C ({{unit}})",
+        "lineDDistance": "Distancia de la línea D ({{unit}})",
+        "lineADistance": "Distancia de la línea A ({{unit}})"
+      },
+      "speedThreshold": {
+        "toast": {
+          "error": {
+            "pointLengthError": "La estimación de velocidad ha sido deshabilitada para esta zona. Las zonas con estimación de velocidad deben tener exactamente 4 puntos.",
+            "loiteringTimeError": "Las zonas con tiempos de merodeo mayores a 0 no deberían usarse con la estimación de velocidad."
+          }
+        },
+        "title": "Umbral de velocidad ({{unit}})",
+        "desc": "Especifica una velocidad mínima para que los objetos sean considerados en esta zona."
+      },
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} puntos",
+      "point_other": "{{count}} puntos",
+      "allObjects": "Todos los objetos",
+      "toast": {
+        "success": "La zona ({{zoneName}}) ha sido guardada. Reinicia Frigate para aplicar los cambios."
+      }
+    },
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "No se pudieron copiar las coordenadas al portapapeles."
+      },
+      "success": {
+        "copyCoordinates": "Coordenadas copiadas para {{polyName}} al portapapeles."
+      }
+    },
+    "filter": {
+      "all": "Todas las máscaras y zonas"
+    },
+    "motionMasks": {
+      "label": "Máscara de movimiento",
+      "desc": {
+        "documentation": "Documentación",
+        "title": "Las máscaras de movimiento se utilizan para evitar que tipos de movimiento no deseados activen la detección. Un exceso de enmascaramiento puede dificultar el seguimiento de objetos."
+      },
+      "add": "Nueva Máscara de Movimiento",
+      "edit": "Editar Máscara de Movimiento",
+      "context": {
+        "documentation": "Leer la documentación",
+        "title": "Las máscaras de movimiento se utilizan para evitar que tipos de movimiento no deseados activen la detección (por ejemplo: ramas de árboles, marcas de tiempo de la cámara). Las máscaras de movimiento deben usarse <em>con moderación</em>, un exceso de enmascaramiento dificultará el seguimiento de objetos."
+      },
+      "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen.",
+      "polygonAreaTooLarge": {
+        "documentation": "Leer la documentación",
+        "title": "La máscara de movimiento está cubriendo el {{polygonArea}}% del marco de la cámara. No se recomiendan máscaras de movimiento grandes.",
+        "tips": "Las máscaras de movimiento no impiden que se detecten objetos. Deberías usar una zona requerida en su lugar."
+      },
+      "toast": {
+        "success": {
+          "noName": "La máscara de movimiento ha sido guardada. Reinicia Frigate para aplicar los cambios.",
+          "title": "{{polygonName}} ha sido guardado. Reinicia Frigate para aplicar los cambios."
+        }
+      },
+      "documentTitle": "Editar Máscara de Movimiento - Frigate",
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} puntos",
+      "point_other": "{{count}} puntos"
+    },
+    "objectMasks": {
+      "label": "Máscaras de Objetos",
+      "documentTitle": "Editar Máscara de Objetos - Frigate",
+      "desc": {
+        "documentation": "Documentación",
+        "title": "Las máscaras de filtro de objetos se utilizan para descartar falsos positivos de un tipo de objeto específico según su ubicación."
+      },
+      "add": "Añadir Máscara de Objetos",
+      "edit": "Editar Máscara de Objetos",
+      "context": "Las máscaras de filtro de objetos se utilizan para descartar falsos positivos de un tipo de objeto específico según su ubicación.",
+      "objects": {
+        "title": "Objetos",
+        "desc": "El tipo de objeto al que se aplica esta máscara de objetos.",
+        "allObjectTypes": "Todos los tipos de objetos"
+      },
+      "toast": {
+        "success": {
+          "noName": "La máscara de objetos ha sido guardada. Reinicia Frigate para aplicar los cambios.",
+          "title": "{{polygonName}} ha sido guardado. Reinicia Frigate para aplicar los cambios."
+        }
+      },
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} puntos",
+      "point_other": "{{count}} puntos",
+      "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen."
+    },
+    "restart_required": "Es necesario reiniciar (se han cambiado las máscaras/zonas)",
+    "motionMaskLabel": "Máscara de movimiento {{number}}",
+    "objectMaskLabel": "Máscara de objeto {{number}} ({{label}})"
+  },
+  "motionDetectionTuner": {
+    "title": "Sintonizador de Detección de Movimiento",
+    "desc": {
+      "documentation": "Lee la Guía de Ajuste de Movimiento",
+      "title": "Frigate utiliza la detección de movimiento como una primera verificación para determinar si hay algo ocurriendo en el marco que merezca ser analizado con la detección de objetos."
+    },
+    "Threshold": {
+      "title": "Umbral",
+      "desc": "El valor del umbral determina cuánto cambio en la luminancia de un píxel es necesario para que se considere movimiento. <em>Predeterminado: 30</em>"
+    },
+    "contourArea": {
+      "title": "Área de Contorno",
+      "desc": "El valor del área de contorno se utiliza para decidir qué grupos de píxeles cambiados califican como movimiento. <em>Predeterminado: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Mejorar Contraste",
+      "desc": "Mejora el contraste para escenas más oscuras. <em>Predeterminado: ACTIVADO</em>"
+    },
+    "toast": {
+      "success": "Los ajustes de movimiento han sido guardados."
+    },
+    "unsavedChanges": "Cambios no guardados en el sintonizador de movimiento ({{camera}})"
+  },
+  "debug": {
+    "title": "Depuración",
+    "debugging": "Depuración",
+    "objectList": "Lista de Objetos",
+    "noObjects": "Sin objetos",
+    "boundingBoxes": {
+      "title": "Cajas delimitadoras",
+      "desc": "Mostrar cajas delimitadoras alrededor de los objetos rastreados",
+      "colors": {
+        "label": "Colores de las Cajas Delimitadoras de Objetos",
+        "info": "<li>Al iniciar, se asignarán diferentes colores a cada etiqueta de objeto</li><li>Una línea fina azul oscura indica que el objeto no está detectado en este momento actual</li><li>Una línea fina gris indica que el objeto se detecta como estacionario</li><li>Una línea gruesa indica que el objeto es el sujeto de seguimiento automático (cuando está habilitado)</li>"
+      }
+    },
+    "timestamp": {
+      "title": "Marca de tiempo",
+      "desc": "Superponer una marca de tiempo en la imagen"
+    },
+    "zones": {
+      "title": "Zonas",
+      "desc": "Mostrar un contorno de las zonas definidas"
+    },
+    "detectorDesc": "Frigate utiliza tus detectores ({{detectors}}) para detectar objetos en el flujo de video de tu cámara.",
+    "desc": "La vista de depuración muestra una vista en tiempo real de los objetos rastreados y sus estadísticas. La lista de objetos muestra un resumen con retraso temporal de los objetos detectados.",
+    "mask": {
+      "title": "Máscaras de movimiento",
+      "desc": "Mostrar polígonos de máscaras de movimiento"
+    },
+    "motion": {
+      "title": "Cajas de movimiento",
+      "desc": "Mostrar cajas alrededor de las áreas donde se detecta movimiento",
+      "tips": "<p><strong>Cajas de Movimiento</strong></p><br><p>Se superpondrán cajas rojas en las áreas del fotograma donde se está detectando movimiento actualmente</p>"
+    },
+    "regions": {
+      "title": "Regiones",
+      "desc": "Mostrar una caja de la región de interés enviada al detector de objetos",
+      "tips": "<p><strong>Cajas de Región</strong></p><br><p>Se superpondrán cajas verdes brillantes en las áreas de interés del fotograma que se envían al detector de objetos.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Dibujo de Filtro de Forma de Objetos",
+      "desc": "Dibuja un rectángulo en la imagen para ver los detalles de área y proporción",
+      "tips": "Habilita esta opción para dibujar un rectángulo en la imagen de la cámara y mostrar su área y proporción. Estos valores pueden usarse luego para establecer parámetros de filtro de forma de objetos en tu configuración.",
+      "document": "Lee la documentación ",
+      "score": "Puntuación",
+      "ratio": "Proporción",
+      "area": "Área"
+    }
+  },
+  "users": {
+    "title": "Usuarios",
+    "management": {
+      "title": "Gestión de Usuarios",
+      "desc": "Gestiona las cuentas de usuario de esta instancia de Frigate."
+    },
+    "addUser": "Añadir usuario",
+    "toast": {
+      "success": {
+        "createUser": "Usuario {{user}} creado correctamente",
+        "deleteUser": "Usuario {{user}} eliminado correctamente",
+        "updatePassword": "Contraseña actualizada correctamente.",
+        "roleUpdated": "Rol actualizado para {{user}}"
+      },
+      "error": {
+        "createUserFailed": "Error al crear el usuario: {{errorMessage}}",
+        "deleteUserFailed": "Error al eliminar el usuario: {{errorMessage}}",
+        "roleUpdateFailed": "Error al actualizar el rol: {{errorMessage}}",
+        "setPasswordFailed": "Error al guardar la contraseña: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Nombre de usuario",
+      "actions": "Acciones",
+      "role": "Rol",
+      "noUsers": "No se encontraron usuarios.",
+      "changeRole": "Cambiar el rol del usuario",
+      "password": "Contraseña",
+      "deleteUser": "Eliminar usuario"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Nombre de usuario",
+          "placeholder": "Introduce el nombre de usuario",
+          "desc": "Solo se permiten letras, números, puntos y guiones bajos."
+        },
+        "password": {
+          "title": "Contraseña",
+          "placeholder": "Introduce la contraseña",
+          "confirm": {
+            "title": "Confirma la contraseña",
+            "placeholder": "Confirma la contraseña"
+          },
+          "strength": {
+            "title": "Fortaleza de la contraseña: ",
+            "weak": "Débil",
+            "medium": "Media",
+            "strong": "Fuerte",
+            "veryStrong": "Muy fuerte"
+          },
+          "match": "Las contraseñas coinciden",
+          "notMatch": "Las contraseñas no coinciden"
+        },
+        "newPassword": {
+          "title": "Nueva contraseña",
+          "placeholder": "Introduce la nueva contraseña",
+          "confirm": {
+            "placeholder": "Vuelve a introducir la nueva contraseña"
+          }
+        },
+        "usernameIsRequired": "Se requiere el nombre de usuario",
+        "passwordIsRequired": "Se requiere contraseña"
+      },
+      "passwordSetting": {
+        "updatePassword": "Actualizar contraseña para {{username}}",
+        "setPassword": "Establecer contraseña",
+        "desc": "Crear una contraseña fuerte para asegurar esta cuenta.",
+        "cannotBeEmpty": "La contraseña no puede estar vacía",
+        "doNotMatch": "Las contraseñas no coinciden"
+      },
+      "createUser": {
+        "desc": "Añadir una nueva cuenta de usuario y especificar un rol para el acceso a áreas de la interfaz de usuario de Frigate.",
+        "title": "Crear nuevo usuario",
+        "usernameOnlyInclude": "El nombre de usuario solo puede incluir letras, números, . o _",
+        "confirmPassword": "Por favor, confirma tu contraseña"
+      },
+      "changeRole": {
+        "title": "Cambiar rol de usuario",
+        "desc": "Actualizar permisos para <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Selecciona el rol adecuado para este usuario:",
+          "adminDesc": "Acceso completo a todas las funciones.",
+          "viewerDesc": "Limitado a paneles en vivo, revisión, exploración y exportaciones únicamente.",
+          "viewer": "Espectador",
+          "admin": "Administrador"
+        },
+        "select": "Selecciona un rol"
+      },
+      "deleteUser": {
+        "warn": "¿Estás seguro de que quieres eliminar <strong>{{username}}</strong>?",
+        "title": "Eliminar usuario",
+        "desc": "Esta acción no se puede deshacer. Esto eliminará permanentemente la cuenta de usuario y eliminará todos los datos asociados."
+      }
+    },
+    "updatePassword": "Actualizar contraseña"
+  },
+  "notification": {
+    "title": "Notificaciones",
+    "notificationSettings": {
+      "title": "Configuración de notificaciones",
+      "desc": "Frigate puede enviar notificaciones push a tu dispositivo de forma nativa cuando se ejecuta en el navegador o está instalado como una PWA.",
+      "documentation": "Leer la documentación"
+    },
+    "notificationUnavailable": {
+      "title": "Notificaciones no disponibles",
+      "documentation": "Leer la documentación",
+      "desc": "Las notificaciones push web requieren un contexto seguro (<code>https://…</code>). Esto es una limitación del navegador. Accede a Frigate de forma segura para usar las notificaciones."
+    },
+    "globalSettings": {
+      "title": "Configuración global",
+      "desc": "Suspender temporalmente las notificaciones de cámaras específicas en todos los dispositivos registrados."
+    },
+    "email": {
+      "title": "Correo electrónico",
+      "placeholder": "p.ej. ejemplo@correo.com",
+      "desc": "Se requiere un correo electrónico válido y se utilizará para notificarte si hay algún problema con el servicio de notificaciones push."
+    },
+    "cameras": {
+      "title": "Cámaras",
+      "noCameras": "No hay cámaras disponibles",
+      "desc": "Selecciona qué cámaras habilitar para las notificaciones."
+    },
+    "deviceSpecific": "Configuración específica del dispositivo",
+    "registerDevice": "Registrar este dispositivo",
+    "sendTestNotification": "Enviar una notificación de prueba",
+    "active": "Notificaciones activas",
+    "suspended": "Notificaciones suspendidas {{time}}",
+    "suspendTime": {
+      "5minutes": "Suspender por 5 minutos",
+      "1hour": "Suspender por 1 hora",
+      "12hours": "Suspender por 12 horas",
+      "untilRestart": "Suspender hasta reiniciar",
+      "30minutes": "Suspender por 30 minutos",
+      "24hours": "Suspender por 24 horas",
+      "10minutes": "Suspender por 10 minutos",
+      "suspend": "Suspender"
+    },
+    "cancelSuspension": "Cancelar suspensión",
+    "toast": {
+      "success": {
+        "settingSaved": "La configuración de notificaciones se ha guardado.",
+        "registered": "Registrado correctamente para las notificaciones. Es necesario reiniciar Frigate antes de que se puedan enviar notificaciones (incluida una notificación de prueba)."
+      },
+      "error": {
+        "registerFailed": "Error al guardar el registro de notificaciones."
+      }
+    },
+    "unregisterDevice": "Cancelar el registro de este dispositivo",
+    "unsavedRegistrations": "Registros de notificaciones no guardados",
+    "unsavedChanges": "Cambios de notificaciones no guardados"
+  },
+  "frigatePlus": {
+    "title": "Configuración de Frigate+",
+    "apiKey": {
+      "title": "Clave API de Frigate+",
+      "notValidated": "La clave API de Frigate+ no ha sido detectada o no ha sido validada",
+      "plusLink": "Lee más sobre Frigate+",
+      "desc": "La clave API de Frigate+ permite la integración con el servicio Frigate+.",
+      "validated": "La clave API de Frigate+ ha sido detectada y validada"
+    },
+    "snapshotConfig": {
+      "title": "Configuración de instantáneas",
+      "documentation": "Leer la documentación",
+      "table": {
+        "camera": "Cámara",
+        "snapshots": "Instantáneas",
+        "cleanCopySnapshots": "<code>clean_copy</code> Instantáneas"
+      },
+      "desc": "Enviar a Frigate+ requiere que tanto las capturas instantáneas como las capturas <code>clean_copy</code> estén habilitadas en tu configuración.",
+      "cleanCopyWarning": "Algunas cámaras tienen las instantáneas habilitadas pero tienen la copia limpia desactivada. Necesitas habilitar <code>clean_copy</code> en tu configuración de instantáneas para poder enviar imágenes de estas cámaras a Frigate+."
+    },
+    "modelInfo": {
+      "title": "Información del modelo",
+      "modelType": "Tipo de modelo",
+      "baseModel": "Modelo base",
+      "supportedDetectors": "Detectores compatibles",
+      "dimensions": "Dimensiones",
+      "cameras": "Cámaras",
+      "loading": "Cargando información del modelo…",
+      "error": "No se pudo cargar la información del modelo",
+      "availableModels": "Modelos disponibles",
+      "loadingAvailableModels": "Cargando modelos disponibles…",
+      "modelSelect": "Tus modelos disponibles en Frigate+ se pueden seleccionar aquí. Ten en cuenta que solo se pueden seleccionar modelos compatibles con tu configuración actual de detectores.",
+      "trainDate": "Fecha de entrenamiento",
+      "plusModelType": {
+        "baseModel": "Modelo Base",
+        "userModel": "Ajustado Finamente"
+      }
+    },
+    "toast": {
+      "success": "La configuración de Frigate+ se ha guardado. Reinicia Frigate para aplicar los cambios.",
+      "error": "No se pudieron guardar los cambios en la configuración: {{errorMessage}}"
+    },
+    "restart_required": "Es necesario reiniciar (se ha cambiado el modelo Frigate+)",
+    "unsavedChanges": "Cambios en la configuración de Frigate+ no guardados"
+  },
+  "enrichments": {
+    "title": "Configuración de Análisis Avanzado",
+    "unsavedChanges": "Cambios sin guardar en la configuración de Análisis Avanzado",
+    "birdClassification": {
+      "title": "Clasificación de Aves",
+      "desc": "La clasificación de aves identifica especies conocidas utilizando un modelo cuantizado de TensorFlow. Cuando se reconoce un ave conocida, su nombre se añade como una subetiqueta (sub_label). Esta información se incluye en la interfaz de usuario, los filtros y las notificaciones."
+    },
+    "semanticSearch": {
+      "title": "Búsqueda Semántica",
+      "desc": "La búsqueda semántica en Frigate te permite encontrar objetos rastreados dentro de tus elementos de revisión utilizando ya sea la imagen en sí, una descripción de texto definida por el usuario o una generada automáticamente.",
+      "readTheDocumentation": "Leer la Documentación",
+      "reindexNow": {
+        "confirmTitle": "Confirmar Re-Indexado",
+        "confirmDesc": "¿Estás seguro de que quieres re-indexar todas las representaciones (embeddings) de objetos rastreados? Este proceso se ejecutará en segundo plano, pero puede usar al máximo tu CPU y tardar una cantidad considerable de tiempo, dependiendo de la cantidad de objetos registrados. Puedes seguir el progreso en la página Explorar (Explore).",
+        "confirmButton": "Re-Indexar",
+        "success": "El proceso de re-indexado ha comenzado.",
+        "alreadyInProgress": "El proceso de re-indexado ya se está ejecutando.",
+        "error": "Ha ocurrido un error al intentar iniciar el proceso de re-indexado: {{errorMessage}}",
+        "label": "Re-indexar Ahora",
+        "desc": "La re-indexación regenerará las embeddings para todos los objetos rastreados. Este proceso se ejecuta en segundo plano y puede utilizar al máximo tu CPU, además de tomar una cantidad considerable de tiempo dependiendo de la cantidad de objetos rastreados que tengas."
+      },
+      "modelSize": {
+        "label": "Tamaño del Modelo",
+        "small": {
+          "title": "pequeño",
+          "desc": "Usar la opción <em>small</em> emplea una versión cuantizada del modelo que consume menos memoria RAM y se ejecuta más rápido en la CPU, con una diferencia muy pequeña o casi imperceptible en la calidad de las representaciones (embeddings)."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar la opción <em>large</em> emplea el modelo completo de Jina y se ejecutará automáticamente en la GPU, si está disponible."
+        },
+        "desc": "Tamaño del modelo usado para la búsqueda semántica."
+      }
+    },
+    "faceRecognition": {
+      "title": "Reconocimiento Facial",
+      "readTheDocumentation": "Leer la Documentación",
+      "modelSize": {
+        "label": "Tamaño del Modelo",
+        "desc": "Tamaño del modelo a ser utilizado para el reconocimiento facial.",
+        "small": {
+          "title": "pequeño",
+          "desc": "Usar la opción <em>small</em> emplea un modelo de FaceNet para embeddings faciales que se ejecuta de manera eficiente en la mayoría de las CPUs."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar la opción <em>large</em> emplea un modelo de embeddings faciales ArcFace y se ejecutará automáticamente en la GPU, si está disponible."
+        }
+      },
+      "desc": "El reconocimiento facial permite asignar nombres a las personas y, cuando su rostro es reconocido, Frigate asignará el nombre de la persona como una subetiqueta (sub label). Esta información se incluye en la interfaz de usuario, los filtros y también en las notificaciones."
+    },
+    "licensePlateRecognition": {
+      "title": "Reconocimiento de Matrículas (LPR)",
+      "readTheDocumentation": "Leer la Documentación",
+      "desc": "Frigate puede reconocer matrículas de vehículos y agregar automáticamente los caracteres detectados al campo recognized_license_plate, o bien asignar un nombre conocido como sub-etiqueta (sub_label) a los objetos de tipo coche (car). Un caso de uso común es leer las matrículas de los autos que ingresan a una cochera o que pasan por una calle."
+    },
+    "restart_required": "Es necesario reiniciar Frigate (La configuración de Enrichments han cambiado)",
+    "toast": {
+      "success": "Los ajustes de enriquecimientos se han guardado. Reinicia Frigate para aplicar los cambios.",
+      "error": "No se pudieron guardar los cambios en la configuración: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/es/views/system.json b/web/public/locales/es/views/system.json
new file mode 100644
index 000000000..0aaade626
--- /dev/null
+++ b/web/public/locales/es/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "storage": "Estadísticas de almacenamiento - Frigate",
+    "general": "Estadísticas generales - Frigate",
+    "logs": {
+      "frigate": "Registros de Frigate - Frigate",
+      "go2rtc": "Registros de Go2RTC - Frigate",
+      "nginx": "Registros de Nginx - Frigate"
+    },
+    "cameras": "Estadísticas de cámaras - Frigate",
+    "enrichments": "Estadísticas de Enriquecimientos - Frigate"
+  },
+  "logs": {
+    "copy": {
+      "label": "Copiar al portapapeles",
+      "success": "Registros copiados al portapapeles",
+      "error": "No se pudieron copiar los registros al portapapeles"
+    },
+    "type": {
+      "label": "Tipo",
+      "timestamp": "Marca de tiempo",
+      "tag": "Etiqueta",
+      "message": "Mensaje"
+    },
+    "tips": "Los registros se están transmitiendo desde el servidor",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Error al obtener los registros: {{errorMessage}}",
+        "whileStreamingLogs": "Error mientras se transmitían los registros: {{errorMessage}}"
+      }
+    },
+    "download": {
+      "label": "Descargar registros"
+    }
+  },
+  "title": "Sistema",
+  "metrics": "Métricas del sistema",
+  "general": {
+    "title": "General",
+    "detector": {
+      "title": "Detectores",
+      "inferenceSpeed": "Velocidad de inferencia del detector",
+      "cpuUsage": "Uso de CPU del Detector",
+      "memoryUsage": "Uso de Memoria del Detector",
+      "temperature": "Detector de Temperatura"
+    },
+    "hardwareInfo": {
+      "title": "Información de Hardware",
+      "gpuUsage": "Uso de GPU",
+      "gpuEncoder": "Codificador de GPU",
+      "gpuDecoder": "Decodificador de GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Salida de Vainfo",
+          "returnCode": "Código de Retorno: {{code}}",
+          "processOutput": "Salida del Proceso:",
+          "processError": "Error del Proceso:"
+        },
+        "nvidiaSMIOutput": {
+          "cudaComputerCapability": "Capacidad de Cómputo CUDA: {{cuda_compute}}",
+          "title": "Salida de Nvidia SMI",
+          "driver": "Controlador: {{driver}}",
+          "name": "Nombre: {{name}}",
+          "vbios": "Información de VBios: {{vbios}}"
+        },
+        "toast": {
+          "success": "Información de GPU copiada al portapapeles"
+        },
+        "copyInfo": {
+          "label": "Copiar información de GPU"
+        },
+        "closeInfo": {
+          "label": "Cerrar información de GPU"
+        }
+      },
+      "gpuMemory": "Memoria de GPU",
+      "npuMemory": "Memoria de NPU",
+      "npuUsage": "Uso de NPU"
+    },
+    "otherProcesses": {
+      "title": "Otros Procesos",
+      "processCpuUsage": "Uso de CPU del Proceso",
+      "processMemoryUsage": "Uso de Memoria del Proceso"
+    }
+  },
+  "storage": {
+    "recordings": {
+      "title": "Grabaciones",
+      "tips": "Este valor representa el almacenamiento total utilizado por las grabaciones en la base de datos de Frigate. Frigate no realiza un seguimiento del uso de almacenamiento de todos los archivos en tu disco.",
+      "earliestRecording": "Grabación más antigua disponible:"
+    },
+    "overview": "Resumen",
+    "title": "Almacenamiento",
+    "cameraStorage": {
+      "percentageOfTotalUsed": "Porcentaje del Total",
+      "bandwidth": "Ancho de Banda",
+      "camera": "Cámara",
+      "unused": {
+        "title": "No Utilizado",
+        "tips": "Este valor puede no representar con precisión el espacio libre disponible para Frigate si tienes otros archivos almacenados en tu disco además de las grabaciones de Frigate. Frigate no realiza un seguimiento del uso de almacenamiento fuera de sus grabaciones."
+      },
+      "title": "Almacenamiento de la Cámara",
+      "storageUsed": "Almacenamiento",
+      "unusedStorageInformation": "Información de Almacenamiento No Utilizado"
+    }
+  },
+  "cameras": {
+    "title": "Cámaras",
+    "overview": "Resumen",
+    "info": {
+      "cameraProbeInfo": "Información de Sondeo de la Cámara {{camera}}",
+      "streamDataFromFFPROBE": "Los datos del flujo se obtienen con <code>ffprobe</code>.",
+      "codec": "Codec:",
+      "fetching": "Obteniendo Datos de la Cámara",
+      "stream": "Flujo {{idx}}",
+      "video": "Video:",
+      "fps": "FPS:",
+      "resolution": "Resolución:",
+      "error": "Error: {{error}}",
+      "unknown": "Desconocido",
+      "audio": "Audio:",
+      "tips": {
+        "title": "Información de Sondeo de la Cámara"
+      },
+      "aspectRatio": "Relación de aspecto"
+    },
+    "framesAndDetections": "Fotogramas / Detecciones",
+    "label": {
+      "camera": "cámara",
+      "skipped": "omitido",
+      "detect": "detectar",
+      "ffmpeg": "FFmpeg",
+      "capture": "captura",
+      "overallFramesPerSecond": "cuadros por segundo totales",
+      "overallDetectionsPerSecond": "detecciones por segundo totales",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} detecciones omitidas por segundo",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} captura",
+      "cameraDetect": "{{camName}} detectar",
+      "cameraFramesPerSecond": "{{camName}} cuadros por segundo",
+      "cameraDetectionsPerSecond": "{{camName}} detecciones por segundo",
+      "overallSkippedDetectionsPerSecond": "detecciones omitidas por segundo totales"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Datos de sondeo copiados al portapapeles."
+      },
+      "error": {
+        "unableToProbeCamera": "No se pudo sondear la cámara: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Última actualización: ",
+  "enrichments": {
+    "infPerSecond": "Inferencias Por Segundo",
+    "embeddings": {
+      "plate_recognition_speed": "Velocidad de Reconocimiento de Matrículas",
+      "face_embedding_speed": "Velocidad de Incrustación de Rostros",
+      "image_embedding_speed": "Velocidad de Incrustación de Imágenes",
+      "text_embedding_speed": "Velocidad de Incrustación de Texto",
+      "face_recognition_speed": "Velocidad de Reconocimiento Facial",
+      "text_embedding": "Incrustación de Texto",
+      "face_recognition": "Reconocimiento Facial",
+      "plate_recognition": "Reconocimiento de Matrículas",
+      "yolov9_plate_detection": "Detección de Matrículas YOLOv9",
+      "image_embedding": "Incrustación de Imágenes",
+      "yolov9_plate_detection_speed": "Velocidad de Detección de Matrículas YOLOv9"
+    },
+    "title": "Enriquecimientos"
+  },
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} tiene un uso elevado de CPU por FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} tiene un uso elevado de CPU por detección ({{detectAvg}}%)",
+    "healthy": "El sistema está saludable",
+    "reindexingEmbeddings": "Reindexando incrustaciones ({{processed}}% completado)",
+    "detectIsSlow": "{{detect}} es lento ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} está desconectada",
+    "detectIsVerySlow": "{{detect}} es muy lento ({{speed}} ms)"
+  }
+}
diff --git a/web/public/locales/fa/audio.json b/web/public/locales/fa/audio.json
new file mode 100644
index 000000000..965460f7f
--- /dev/null
+++ b/web/public/locales/fa/audio.json
@@ -0,0 +1,27 @@
+{
+  "speech": "گفتار",
+  "babbling": "پر حرفی",
+  "yell": "فریاد",
+  "bellow": "صدای نعره",
+  "whoop": "ضجه",
+  "whispering": "غیبت کردن",
+  "laughter": "خنده",
+  "snicker": "پوزخند",
+  "crying": "گریه کردن",
+  "sigh": "حسرت",
+  "singing": "خواندن آواز",
+  "choir": "آواز گروهی",
+  "yodeling": "عیاشی",
+  "chant": "مناجات",
+  "mantra": "مانترا",
+  "cat": "گربه",
+  "dog": "سگ",
+  "horse": "اسب",
+  "bird": "پرنده",
+  "boat": "قایق",
+  "car": "ماشین",
+  "bus": "اتوبوس",
+  "motorcycle": "موتور سیکلت",
+  "train": "قطار",
+  "bicycle": "دوچرخه"
+}
diff --git a/web/public/locales/fa/common.json b/web/public/locales/fa/common.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/common.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/auth.json b/web/public/locales/fa/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/camera.json b/web/public/locales/fa/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/dialog.json b/web/public/locales/fa/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/filter.json b/web/public/locales/fa/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/icons.json b/web/public/locales/fa/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/input.json b/web/public/locales/fa/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/components/player.json b/web/public/locales/fa/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/objects.json b/web/public/locales/fa/objects.json
new file mode 100644
index 000000000..278086db2
--- /dev/null
+++ b/web/public/locales/fa/objects.json
@@ -0,0 +1,20 @@
+{
+  "person": "شخص",
+  "bicycle": "دوچرخه",
+  "car": "ماشین",
+  "airplane": "هواپیما",
+  "bus": "اتوبوس",
+  "train": "قطار",
+  "boat": "قایق",
+  "traffic_light": "چراغ راهنمایی",
+  "motorcycle": "موتور سیکلت",
+  "fire_hydrant": "شیر آتش‌نشانی",
+  "street_sign": "تابلو راهنمایی رانندگی",
+  "stop_sign": "تابلو ایست",
+  "parking_meter": "پارکومتر",
+  "bench": "نیمکت",
+  "bird": "پرنده",
+  "cat": "گربه",
+  "dog": "سگ",
+  "horse": "اسب"
+}
diff --git a/web/public/locales/fa/views/configEditor.json b/web/public/locales/fa/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/events.json b/web/public/locales/fa/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/explore.json b/web/public/locales/fa/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/exports.json b/web/public/locales/fa/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/faceLibrary.json b/web/public/locales/fa/views/faceLibrary.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/faceLibrary.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/live.json b/web/public/locales/fa/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/recording.json b/web/public/locales/fa/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/search.json b/web/public/locales/fa/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/settings.json b/web/public/locales/fa/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fa/views/system.json b/web/public/locales/fa/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fa/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fi/audio.json b/web/public/locales/fi/audio.json
new file mode 100644
index 000000000..1623e89bd
--- /dev/null
+++ b/web/public/locales/fi/audio.json
@@ -0,0 +1,62 @@
+{
+  "speech": "Puhe",
+  "yell": "Huutaa",
+  "babbling": "Pulina",
+  "boat": "Vene",
+  "cat": "Kissa",
+  "dog": "Koira",
+  "horse": "Hevonen",
+  "sheep": "Lammas",
+  "bird": "Lintu",
+  "car": "Auto",
+  "motorcycle": "Moottoripyörä",
+  "bus": "Bussi",
+  "train": "Juna",
+  "bicycle": "Pyörä",
+  "skateboard": "Rullalauta",
+  "bellow": "Karjua",
+  "whoop": "Huutaa",
+  "whispering": "Kuiskaus",
+  "laughter": "Nauru",
+  "snicker": "Hihittää",
+  "crying": "Itku",
+  "sigh": "Huokaus",
+  "singing": "Laulu",
+  "choir": "Kuoro",
+  "yodeling": "Jodlata",
+  "camera": "Kamera",
+  "animal": "Eläin",
+  "goat": "Vuohi",
+  "mouse": "Hiiri",
+  "keyboard": "Näppäimistö",
+  "vehicle": "Ajoneuvo",
+  "door": "Ovi",
+  "sink": "Lavuaari",
+  "blender": "Tehosekoitin",
+  "scissors": "Sakset",
+  "hair_dryer": "Hiustenkuivaaja",
+  "toothbrush": "Hammasharja",
+  "clock": "Kello",
+  "bark": "Haukku",
+  "chant": "Laulaa",
+  "mantra": "Mantra",
+  "child_singing": "Lapsi laulaa",
+  "synthetic_singing": "Synteettinen laulu",
+  "rapping": "Räppi",
+  "humming": "Humina",
+  "groan": "Notkua",
+  "grunt": "Murahtaa",
+  "whistling": "Vihellys",
+  "breathing": "Hengitys",
+  "wheeze": "Vinkua",
+  "snoring": "Kuorsaus",
+  "gasp": "Haukkua",
+  "pant": "Huohottaa",
+  "snort": "Haukkua",
+  "cough": "Yskä",
+  "sneeze": "Niistää",
+  "throat_clearing": "Kurkun selvittäminen",
+  "sniff": "Poimi",
+  "run": "Käynnistä",
+  "shuffle": "Sekoitus"
+}
diff --git a/web/public/locales/fi/common.json b/web/public/locales/fi/common.json
new file mode 100644
index 000000000..f76eb0e67
--- /dev/null
+++ b/web/public/locales/fi/common.json
@@ -0,0 +1,172 @@
+{
+  "time": {
+    "untilRestart": "Kunnes uudelleenkäynnistyy",
+    "ago": "{{timeAgo}} sitten",
+    "justNow": "Juuri nyt",
+    "today": "Tänään",
+    "yesterday": "Eilen",
+    "last14": "Viimeiset 14 päivää",
+    "untilForTime": "Kunnes {{time}}",
+    "untilForRestart": "Kunnes Frigate uudelleenkäynnistyy.",
+    "thisWeek": "Tämä viikko",
+    "lastWeek": "Viime viikko",
+    "last7": "Viimeiset 7 päivää",
+    "thisMonth": "Tämä kuu",
+    "lastMonth": "Viime kuu",
+    "last30": "Viimeiset 30 päivää",
+    "5minutes": "5 minuuttia",
+    "10minutes": "10 minuuttia",
+    "30minutes": "30 minuuttia",
+    "1hour": "1 tunti",
+    "12hours": "12 tuntia",
+    "24hours": "24 tuntia",
+    "pm": "ip",
+    "am": "ap",
+    "yr": "{{time}}v",
+    "year_one": "{{time}} vuosi",
+    "year_other": "{{time}} vuotta",
+    "mo": "{{time}}kk",
+    "month_one": "{{time}} kuukausi",
+    "month_other": "{{time}} kuukaudet",
+    "d": "{{time}}pv",
+    "day_one": "{{time}} päivä",
+    "day_other": "{{time}} päivät",
+    "h": "{{time}}t",
+    "hour_one": "{{time}} tunti",
+    "hour_other": "{{time}} tuntia",
+    "m": "{{time}}m",
+    "s": "{{time}}s",
+    "minute_one": "{{time}}minuutti",
+    "minute_other": "{{time}}minuuttia",
+    "second_one": "{{time}}sekuntti",
+    "second_other": "{{time}}sekunttia"
+  },
+  "pagination": {
+    "next": {
+      "title": "Seuraava",
+      "label": "Mene seuraavalle sivulle"
+    },
+    "more": "Lisää sivuja",
+    "previous": {
+      "title": "Edellinen",
+      "label": "Mene edelliselle sivulle"
+    },
+    "label": "sivutus"
+  },
+  "accessDenied": {
+    "documentTitle": "Pääsy kielletty - Frigate",
+    "title": "Pääsy kielletty",
+    "desc": "Sinulla ei ole oikeuksia tarkastella tätä sivua."
+  },
+  "role": {
+    "admin": "Järjestelmänvalvoja",
+    "viewer": "Katselija",
+    "desc": "Järjestelmänvalvojalla on täysi käyttöoikeus kaikkiin Frigaten käyttöliittymän toimintoihin. Katselijoiden oikeudet on rajoitettu kameroiden katseluun, kohteiden arviointiin ja historian tarkasteluun.",
+    "title": "Rooli"
+  },
+  "notFound": {
+    "documentTitle": "Ei löytynyt - Frigate",
+    "title": "404",
+    "desc": "Sivua ei löytynyt"
+  },
+  "selectItem": "Valitse {{item}}",
+  "menu": {
+    "live": {
+      "title": "Suora",
+      "cameras": {
+        "title": "Kamerat",
+        "count_one": "{{count}} kamera",
+        "count_other": "{{count}} kameraa"
+      },
+      "allCameras": "Kaikki kamerat"
+    },
+    "explore": "Selaa",
+    "export": "Vienti",
+    "uiPlayground": "UI-leikkikenttä",
+    "user": {
+      "account": "Tili",
+      "current": "Nykyinen käyttäjä: {{user}}",
+      "anonymous": "anonyymi",
+      "title": "Käyttäjä",
+      "logout": "Kirjaudu ulos",
+      "setPassword": "Aseta salasana"
+    },
+    "appearance": "Ulkonäkö",
+    "darkMode": {
+      "label": "Tumma tila",
+      "light": "Valoisa",
+      "dark": "Tumma",
+      "withSystem": {
+        "label": "Käytä järjestelmän asetuksia valoisalle tai tummalle tilalle"
+      }
+    },
+    "faceLibrary": "Kasvokirjasto",
+    "language": {
+      "ca": "Katalaani",
+      "withSystem": {
+        "label": "Käytä järjestelmän asetuksia kielelle"
+      }
+    },
+    "review": "Esikatselu",
+    "theme": {
+      "highcontrast": "Korkea resoluutio",
+      "blue": "Sininen",
+      "green": "Vihreä",
+      "default": "Oletus",
+      "nord": "Pohjoismainen",
+      "red": "Punainen",
+      "label": "Teema"
+    },
+    "withSystem": "Järjestelmä",
+    "help": "Apua",
+    "documentation": {
+      "title": "Dokumentaatio",
+      "label": "Frigaten dokumentaatio"
+    },
+    "restart": "Käynnistä uudelleen",
+    "languages": "Kielet",
+    "system": "Järjestelmä",
+    "settings": "Asetukset",
+    "configuration": "Konfiguraatio"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL kopioitu leikepöydälle.",
+    "save": {
+      "title": "Tallenna",
+      "error": {
+        "title": "Konfiguraatiomuutosten tallennus epäonnistui: {{errorMessage}}",
+        "noMessage": "Konfiguraatiomuutosten tallennus epäonnistui"
+      }
+    }
+  },
+  "button": {
+    "on": "ON",
+    "disabled": "Pois käytöstä",
+    "done": "Valmis",
+    "enabled": "Käytössä",
+    "enable": "Ota käyttöön",
+    "disable": "Poista käytöstä",
+    "save": "Tallenna",
+    "saving": "Tallennetaan…",
+    "cancel": "Peruuta",
+    "reset": "Nollaa",
+    "close": "Sulje",
+    "off": "OFF",
+    "edit": "Muokkaa",
+    "yes": "Kyllä",
+    "copy": "Kopioi",
+    "no": "Ei",
+    "download": "Lataa",
+    "back": "Takaisin",
+    "history": "Historia",
+    "play": "Toista",
+    "next": "Seuraava",
+    "delete": "Poista",
+    "info": "Info"
+  },
+  "unit": {
+    "length": {
+      "feet": "jalka"
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/auth.json b/web/public/locales/fi/components/auth.json
new file mode 100644
index 000000000..5ce3ffa02
--- /dev/null
+++ b/web/public/locales/fi/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "Salasana",
+    "user": "Käyttäjä",
+    "login": "Kirjaudu",
+    "errors": {
+      "usernameRequired": "Käyttäjänimi vaaditaan",
+      "passwordRequired": "Salasana vaaditaan",
+      "rateLimit": "Käyttöraja ylitetty. Yritä myöhemmin uudelleen.",
+      "loginFailed": "Kirjautuminen epäonnistui",
+      "unknownError": "Tuntematon virhe. Tarkista logit.",
+      "webUnknownError": "Tuntematon virhe. Tarkista konsolilogi."
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/camera.json b/web/public/locales/fi/components/camera.json
new file mode 100644
index 000000000..9dae4c5ed
--- /dev/null
+++ b/web/public/locales/fi/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kameraryhmä",
+    "add": "Lisää kameraryhmä",
+    "edit": "Muokkaa kameraryhmää",
+    "delete": {
+      "label": "Poista kameraryhmä",
+      "confirm": {
+        "title": "Varmista poisto",
+        "desc": "Oletko varma että haluat poistaa kameraryhmän <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nimi",
+      "placeholder": "Anna nimi…",
+      "errorMessage": {
+        "mustLeastCharacters": "Kameraryhmän nimi täytyy olla vähintään 2 kirjainta.",
+        "exists": "Kameraryhmän nimi on jo olemassa.",
+        "nameMustNotPeriod": "Kameraryhmän nimi ei voi sisältää pistettä.",
+        "invalid": "Virheellinen kameraryhmän nimi."
+      }
+    },
+    "cameras": {
+      "label": "Kamerat",
+      "desc": "Valitse ryhmän kamera."
+    },
+    "icon": "Ikoni",
+    "success": "Kameraryhmä ({{name}}) on tallennettu.",
+    "camera": {
+      "setting": {
+        "label": "Kameran suoratoistoasetukset",
+        "title": "{{cameraName}} suoratoistoasetukset",
+        "desc": "Muuta tämän kameraryhmän kojelaudan live-suoratoistoasetuksia.<em>Nämä asetukset ovat laite/selainkohtaisia.</em>",
+        "audioIsAvailable": "Ääni on saatavilla tähän suoratoistoon",
+        "audioIsUnavailable": "Ääni ei ole saatavilla tähän suoratoistoon",
+        "audio": {
+          "tips": {
+            "title": "Äänen on oltava kytkettynä kameraan ja määritettynä go2rtc:ssä tätä suoratoistoa varten.",
+            "document": "Lue dokumentaatio "
+          }
+        },
+        "streamMethod": {
+          "label": "Suoratoistomenetelmä",
+          "method": {
+            "noStreaming": {
+              "label": "Ei suoratoistoa",
+              "desc": "Kamerakuvat päivittyvät vain kerran minuutissa, eikä suoratoistoa tapahdu."
+            },
+            "smartStreaming": {
+              "label": "Älykäs suoratoisto (suositus)",
+              "desc": "Älykäs suoratoisto päivittää kamerakuvan kerran minuutissa kun havaittavaa toimintaa ei tapahdu, säästääkseen kaistanleveyttä ja resursseja. Kun toimintaa havaitaan, kuva vaihtuu saumattomasti reaaliaikaiseksi suoratoistoksi."
+            },
+            "continuousStreaming": {
+              "label": "Jatkuva suoratoisto",
+              "desc": {
+                "title": "Kamerakuva näkyy aina reaaliaikaisena suoratoistona kojelaudassa, vaikka mitään liikettä ei havaitaisi.",
+                "warning": "Jatkuva suoratoisto voi lisätä kaistanleveyden käyttöä ja suorituskykyongelmia. Käytä varoen."
+              }
+            }
+          },
+          "placeholder": "Valitse toiston tyyppi"
+        },
+        "compatibilityMode": {
+          "label": "Yhteensopivuustila",
+          "desc": "Ota tämä vaihtoehto käyttöön vain, jos kamerasi live-suoratoistossa näkyy väriartefakteja ja kuvan oikealla puolella on vinoviiva."
+        },
+        "stream": "Kuvavirta",
+        "placeholder": "Valitse kuvavirta"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Asetukset",
+      "title": "Vaihtoehdot",
+      "showOptions": "Näytä vaihtoehdot",
+      "hideOptions": "Piilota vaihtoehdot"
+    },
+    "boundingBox": "Rajauslaatikko",
+    "timestamp": "Aikaleima",
+    "zones": "Vyöhykkeet",
+    "mask": "Peite",
+    "motion": "Liike",
+    "regions": "Alueet"
+  }
+}
diff --git a/web/public/locales/fi/components/dialog.json b/web/public/locales/fi/components/dialog.json
new file mode 100644
index 000000000..9a1ca575d
--- /dev/null
+++ b/web/public/locales/fi/components/dialog.json
@@ -0,0 +1,77 @@
+{
+  "restart": {
+    "title": "Haluatko varmasti käynnistää Frigaten uudelleen?",
+    "button": "Uudelleenkäynnistys",
+    "restarting": {
+      "title": "Fregatti käynnistyy uudelleen",
+      "content": "Tämä sivu latautuu uudelleen {{countdown}} sekunnin kuluttua.",
+      "button": "Pakota uudelleenlataus nyt"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Lähetä Frigate+:lle",
+        "desc": "Välttämissäsi paikoissa olevat kohteet eivät ole vääriä positiivisia. Niiden lähettäminen väärinä positiivisina sekoittaa mallia."
+      },
+      "review": {
+        "question": {
+          "label": "Vahvista tämä nimike Frigate Plussalle",
+          "ask_a": "Onko kohde <code>{{label}}</code>?",
+          "ask_an": "Onko tämä kohde <code>{{label}}</code>?",
+          "ask_full": "Onko tämä kohde <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Lähetetty"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Katso historiaa"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Valitse aikajanalta",
+      "lastHour_one": "Viimeinen tunti",
+      "lastHour_other": "Viimeiset {{count}} tuntia",
+      "start": {
+        "title": "Aloitusaika",
+        "label": "Valitse aloitusaika"
+      },
+      "end": {
+        "title": "Lopetusaika",
+        "label": "Valitse lopetusaika"
+      },
+      "custom": "Mukautettu"
+    },
+    "name": {
+      "placeholder": "Nimeä vienti"
+    },
+    "select": "Valitse",
+    "export": "Vie",
+    "selectOrExport": "Valitse tai Vie",
+    "toast": {
+      "error": {
+        "failed": "Viennin aloitus epäonnistui: {{error}}",
+        "endTimeMustAfterStartTime": "Lopetusajan pitää olla aloitusajan jälkeen",
+        "noVaildTimeSelected": "Sopivaa aikaikkunaa ei valittuna"
+      },
+      "success": "Vienti käynnistettiin onnistuneesti. Katso tiedosto /export kansiossa."
+    },
+    "fromTimeline": {
+      "saveExport": "Tallenna vienti",
+      "previewExport": "Esikatsele vientiä"
+    }
+  },
+  "streaming": {
+    "label": "Kuvavirta",
+    "restreaming": {
+      "disabled": "Uudelleentoisto ei ole käytettävissä tällä kameralla.",
+      "desc": {
+        "title": "Määritä go2rtc saadaksesi lisäreaaliaikanäkymän vaihtoehtoja ja ääntä tälle kameralle.",
+        "readTheDocumentation": "Lue dokumentaatio"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/filter.json b/web/public/locales/fi/components/filter.json
new file mode 100644
index 000000000..5a21e5424
--- /dev/null
+++ b/web/public/locales/fi/components/filter.json
@@ -0,0 +1,62 @@
+{
+  "filter": "Suodatin",
+  "dates": {
+    "selectPreset": "Valitse esiasettelu…",
+    "all": {
+      "title": "Kaikki päivämäärät",
+      "short": "Päivämäärät"
+    }
+  },
+  "more": "Lisää suodattimia",
+  "reset": {
+    "label": "Palauta suodattimet oletusarvoihin"
+  },
+  "labels": {
+    "count_one": "{{count}} nimike",
+    "label": "Nimikkeet",
+    "all": {
+      "title": "Kaikki nimikkeet",
+      "short": "Nimikkeet"
+    },
+    "count_other": "{{count}} nimikettä"
+  },
+  "zones": {
+    "label": "Alueet",
+    "all": {
+      "title": "Kaikki alueet",
+      "short": "Alueet"
+    }
+  },
+  "timeRange": "Aikaikkuna",
+  "subLabels": {
+    "label": "Alinimikkeet",
+    "all": "Kaikki alinimikkeet"
+  },
+  "score": "Piste",
+  "estimatedSpeed": "Arvioitu nopeus {{unit}}",
+  "features": {
+    "label": "Piirteet",
+    "hasVideoClip": "Videoleike löytyy",
+    "submittedToFrigatePlus": {
+      "label": "Lähetetty Frigate+:aan",
+      "tips": "Sinun on ensin suodatettava seuratut kohteet, joilla on tilannekuva.<br /><br />Kohteita, joilla ei ole tilannekuvaa, ei voida lähettää Frigate+:aan."
+    },
+    "hasSnapshot": "Tilannekuva löytyy"
+  },
+  "sort": {
+    "label": "Järjestä",
+    "dateAsc": "Päivämäärä (Nouseva)",
+    "dateDesc": "Päivämäärä (Laskeva)",
+    "scoreAsc": "Kohteen pisteet (Nouseva)",
+    "scoreDesc": "Kohteen pisteet (Laskeva)",
+    "speedAsc": "Arvioitu nopeus (Nouseva)",
+    "speedDesc": "Arvioitu nopeus (Laskeva)",
+    "relevance": "Olennaisuus"
+  },
+  "cameras": {
+    "label": "Kameran suodattimet",
+    "all": {
+      "title": "Kaikki kamerat"
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/icons.json b/web/public/locales/fi/components/icons.json
new file mode 100644
index 000000000..20fea8f3d
--- /dev/null
+++ b/web/public/locales/fi/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Valitse kuvake",
+    "search": {
+      "placeholder": "Etsi kuvaketta…"
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/input.json b/web/public/locales/fi/components/input.json
new file mode 100644
index 000000000..59083d62a
--- /dev/null
+++ b/web/public/locales/fi/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Lataa Video",
+      "toast": {
+        "success": "Tarkistettavan kohteen videon lataus on aloitettu."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/fi/components/player.json b/web/public/locales/fi/components/player.json
new file mode 100644
index 000000000..e40d8b114
--- /dev/null
+++ b/web/public/locales/fi/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFound": "Esikatselua ei löytynyt",
+  "noPreviewFoundFor": "Ei esikatselua {{cameraName}}lle",
+  "noRecordingsFoundForThisTime": "Ei tallenteita valitulta ajalta",
+  "submitFrigatePlus": {
+    "title": "Lähetä tämä kuva Frigate+:aan?",
+    "submit": "Lähetä"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 tai uudempi vaaditaan tälle suoratoistotyypille.",
+  "streamOffline": {
+    "title": "Kamera poissa verkosta",
+    "desc": "Kuvaruutuja ei vastaanotettu kameran {{cameraName}} <code>detect</code>-kuvavirrasta, tarkista virhelogit"
+  },
+  "cameraDisabled": "Kamera on poistettu käytöstä",
+  "stats": {
+    "streamType": {
+      "title": "Kuvavirran tyyppi:",
+      "short": "Tyyppi"
+    },
+    "bandwidth": {
+      "title": "Kaistanleveys:",
+      "short": "Kaistanleveys"
+    },
+    "latency": {
+      "title": "Latenssi:",
+      "value": "{{seconds}} sekuntia",
+      "short": {
+        "value": "{{seconds}} sek",
+        "title": "Latenssi"
+      }
+    },
+    "totalFrames": "Kehyksiä yhteensä:",
+    "droppedFrames": {
+      "title": "Pudotettuja kehyksiä:",
+      "short": {
+        "title": "Pudotettu",
+        "value": "{{droppedFrames}} kehystä"
+      }
+    },
+    "decodedFrames": "Dekoodatut kehykset:",
+    "droppedFrameRate": "Pudotettujen kehysten nopeus:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Onnistuneesti lähetetty Frigate+:aan"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Frigate+:aan lähetys epäonnistui"
+    }
+  }
+}
diff --git a/web/public/locales/fi/objects.json b/web/public/locales/fi/objects.json
new file mode 100644
index 000000000..524350ef8
--- /dev/null
+++ b/web/public/locales/fi/objects.json
@@ -0,0 +1,120 @@
+{
+  "frisbee": "Frisbee",
+  "knife": "Veitsi",
+  "umbrella": "Sateenvarjo",
+  "tie": "Kravatti",
+  "suitcase": "Matkalaukku",
+  "baseball_glove": "Pesäpallohanska",
+  "spoon": "Lusikka",
+  "person": "Henkilö",
+  "bicycle": "Pyörä",
+  "car": "Auto",
+  "motorcycle": "Moottoripyörä",
+  "airplane": "Lentokone",
+  "bus": "Bussi",
+  "train": "Juna",
+  "boat": "Vene",
+  "traffic_light": "Liikennevalo",
+  "fire_hydrant": "Paloposti",
+  "street_sign": "Tieviitta",
+  "stop_sign": "Stop merkki",
+  "parking_meter": "Pysäköintimittari",
+  "bench": "Penkki",
+  "bird": "Lintu",
+  "cat": "Kissa",
+  "dog": "Koira",
+  "horse": "Hevonen",
+  "sheep": "Lammas",
+  "cow": "Lehmä",
+  "elephant": "Elefantti",
+  "bear": "Karhu",
+  "zebra": "Seepra",
+  "giraffe": "Kirahvi",
+  "hat": "Hattu",
+  "backpack": "Reppu",
+  "shoe": "Kenkä",
+  "eye_glasses": "Silmälasit",
+  "handbag": "Käsilaukku",
+  "skis": "Sukset",
+  "snowboard": "Lumilauta",
+  "sports_ball": "Pallo",
+  "kite": "Leija",
+  "baseball_bat": "Pesäpallomaila",
+  "skateboard": "Rullalauta",
+  "surfboard": "Surffilauta",
+  "tennis_racket": "Tennismaila",
+  "bottle": "Pullo",
+  "plate": "Lautanen",
+  "wine_glass": "Viinilasi",
+  "cup": "Kuppi",
+  "fork": "Haarukka",
+  "bowl": "Malja",
+  "banana": "Banaani",
+  "apple": "Omena",
+  "couch": "Sohva",
+  "keyboard": "Näppäimistö",
+  "book": "Kirja",
+  "microwave": "Mikroaaltouuni",
+  "toaster": "Leivänpaahdin",
+  "refrigerator": "Jääkaappi",
+  "sink": "Lavuaari",
+  "blender": "Tehosekoitin",
+  "deer": "Peura",
+  "oven": "Uuni",
+  "sandwich": "Voileipä",
+  "orange": "Appelsiini",
+  "broccoli": "Parsakaali",
+  "carrot": "Porkkana",
+  "hot_dog": "Nakkisämpylä",
+  "pizza": "Pizza",
+  "donut": "Donitsi",
+  "cake": "Kakku",
+  "chair": "Tuoli",
+  "potted_plant": "Ruukkukasvi",
+  "bed": "Sänky",
+  "mirror": "Peili",
+  "dining_table": "Ruokapöytä",
+  "window": "Ikkuna",
+  "desk": "Pöytä",
+  "toilet": "Vessanpönttö",
+  "door": "Ovi",
+  "tv": "TV",
+  "mouse": "Hiiri",
+  "laptop": "Kannettava tietokone",
+  "remote": "Kaukosäädin",
+  "cell_phone": "Matkapuhelin",
+  "clock": "Kello",
+  "vase": "Maljakko",
+  "scissors": "Sakset",
+  "teddy_bear": "Nallekarhu",
+  "hair_dryer": "Hiustenkuivaaja",
+  "hair_brush": "Hiusharja",
+  "toothbrush": "Hammasharja",
+  "vehicle": "Ajoneuvo",
+  "squirrel": "Orava",
+  "animal": "Eläin",
+  "fox": "Kettu",
+  "goat": "Vuohi",
+  "bark": "Haukku",
+  "rabbit": "Kaniini",
+  "raccoon": "Pesukarhu",
+  "robot_lawnmower": "Robotti ruohonleikkuri",
+  "waste_bin": "Jäteastia",
+  "package": "Paketti",
+  "bbq_grill": "Grilli",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "postnord": "PostNord",
+  "nzpost": "NZPost",
+  "postnl": "PostNL",
+  "dhl": "DHL",
+  "purolator": "Purolator",
+  "an_post": "An Post",
+  "license_plate": "Rekisterikilpi",
+  "face": "Kasvot",
+  "on_demand": "Pyynnöstä"
+}
diff --git a/web/public/locales/fi/views/configEditor.json b/web/public/locales/fi/views/configEditor.json
new file mode 100644
index 000000000..472c59e37
--- /dev/null
+++ b/web/public/locales/fi/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Frigaten konfiguraatioeditori",
+  "confirm": "Poistu tallentamatta?",
+  "saveOnly": "Vain tallennus",
+  "toast": {
+    "error": {
+      "savingError": "Virhe tallennettaessa konfiguraatiota"
+    },
+    "success": {
+      "copyToClipboard": "Konfiguraatio kopioitu leikepöydälle."
+    }
+  },
+  "configEditor": "Konfiguraatioeditori",
+  "copyConfig": "Kopioi konfiguraatio",
+  "saveAndRestart": "Tallenna & uudelleenkäynnistä"
+}
diff --git a/web/public/locales/fi/views/events.json b/web/public/locales/fi/views/events.json
new file mode 100644
index 000000000..638a05f7a
--- /dev/null
+++ b/web/public/locales/fi/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Hälytyset",
+  "empty": {
+    "detection": "Ei havaintoja tarkastettavaksi",
+    "motion": "Ei liiketietoja",
+    "alert": "Ei hälyytyksiä tarkastettavaksi"
+  },
+  "detections": "Havainnot",
+  "motion": {
+    "label": "Liike",
+    "only": "Vain liike"
+  },
+  "allCameras": "Kaikki kamerat",
+  "timeline": "Aikajana",
+  "timeline.aria": "Valitse aikajana",
+  "events": {
+    "label": "Tapahtumat",
+    "aria": "Valitse tapahtumat",
+    "noFoundForTimePeriod": "Tapahtumia ei löydetty tältä ajanjaksolta."
+  },
+  "documentTitle": "Tarkastelu - Frigate",
+  "detected": "havaittu",
+  "selected_one": "{{count}} valittu",
+  "selected_other": "{{count}} valittu",
+  "recordings": {
+    "documentTitle": "Tallenteet - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Viimeiset 24 tuntia"
+  },
+  "markAsReviewed": "Merkitse katselmoiduksi",
+  "markTheseItemsAsReviewed": "Merkitse nämä kohteet katselmoiduksi",
+  "newReviewItems": {
+    "label": "Näytä uudet katselmoitavat kohteet",
+    "button": "Uudet katselmoitavat kohteet"
+  },
+  "camera": "Kamera"
+}
diff --git a/web/public/locales/fi/views/explore.json b/web/public/locales/fi/views/explore.json
new file mode 100644
index 000000000..c6950c941
--- /dev/null
+++ b/web/public/locales/fi/views/explore.json
@@ -0,0 +1,95 @@
+{
+  "documentTitle": "Etsi",
+  "details": {
+    "timestamp": "Aikaleima",
+    "item": {
+      "title": "Tarkastele kohteen tietoja",
+      "desc": "Tarkastele kohteen tietoja",
+      "button": {
+        "share": "Jaa tämä tarkasteltu kohde"
+      }
+    }
+  },
+  "exploreIsUnavailable": {
+    "title": "Selaus on tavoittamattomissa",
+    "embeddingsReindexing": {
+      "startingUp": "Käynnistytään…",
+      "estimatedTime": "Arvioitu aika jäljellä:",
+      "finishingShortly": "Valmista pian",
+      "step": {
+        "trackedObjectsProcessed": "Käsitellyt seuratut objektit: ",
+        "thumbnailsEmbedded": "Kuvakkeet sisällytetty: ",
+        "descriptionsEmbedded": "Kuvaukset sisällytetty: "
+      },
+      "context": "Selausta voidaan käyttää sen jälkeen kun seurattavien kohteiden uudelleenindeksöinti on valmistunut."
+    },
+    "downloadingModels": {
+      "context": "Frigate lataa semanttista hakua varten vaadittavat upotusmallit. Tämä saattaa viedä useamman minuutin, riippuen yhteytesi nopeudesta.",
+      "setup": {
+        "visionModel": "Vision-malli",
+        "textModel": "Tekstimalli",
+        "textTokenizer": "Tekstin osioija"
+      },
+      "tips": {
+        "documentation": "Lue dokumentaatio",
+        "context": "Saatat haluta uudelleenindeksoida seurattavien kohteiden upotukset, kun mallit on ladattu."
+      },
+      "error": "Tapahtui virhe. Tarkista Frigaten lokit."
+    }
+  },
+  "exploreMore": "Selaa lisää {{label}}-tyyppisiä kohteita",
+  "generativeAI": "Generatiivinen AI",
+  "objectLifecycle": {
+    "annotationSettings": {
+      "offset": {
+        "documentation": "Lue dokumentaatio "
+      },
+      "showAllZones": {
+        "title": "Näytä kaikki vyöhykkeet"
+      }
+    },
+    "lifecycleItemDesc": {
+      "header": {
+        "zones": "Vyöhykkeet",
+        "ratio": "Suhde",
+        "area": "Alue"
+      },
+      "active": "{{label}} aktivoitui",
+      "stationary": "{{label}} pysähtyi",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} havaittiin nimikkeelle {{label}}",
+        "other": "{{label}} tunnistettu {{attribute}}:na"
+      },
+      "gone": "{{label}} poistui",
+      "entered_zone": "{{label}} ilmestyi vyöhykkeelle {{zones}}",
+      "visible": "{{label}} havaittu",
+      "heard": "{{label}} kuului",
+      "external": "{{label}} havaittiin"
+    },
+    "trackedPoint": "Seurattu piste",
+    "carousel": {
+      "previous": "Edellinen",
+      "next": "Seuraava"
+    },
+    "count": "{{first}} / {{second}}",
+    "title": "Kohteen elinkaari",
+    "noImageFound": "Tältä aikaleimalta ei löytynyt kuvia.",
+    "createObjectMask": "Luo kohdemaski",
+    "scrollViewTips": "Vieritä katsoaksesi merkittäviä hetkiä kohteen elinkaarelta.",
+    "autoTrackingTips": "Kohteen rajojen sijainti on epätarkka automaattisesti seuraaville kameroille.",
+    "adjustAnnotationSettings": "Säädä merkintäasetuksia"
+  },
+  "trackedObjectDetails": "Seurattavien kohteiden tiedot",
+  "type": {
+    "details": "tiedot",
+    "snapshot": "kuvankaappaus",
+    "video": "video",
+    "object_lifecycle": "kohteen elinkaari"
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "label": "Lataa kuvankaappaus",
+      "aria": "Lataa kuvankaappaus"
+    }
+  }
+}
diff --git a/web/public/locales/fi/views/exports.json b/web/public/locales/fi/views/exports.json
new file mode 100644
index 000000000..5ee8e88eb
--- /dev/null
+++ b/web/public/locales/fi/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Etsi",
+  "documentTitle": "Vie",
+  "deleteExport.desc": "Oletko varma että haluat poistaa kohteen {{exportName}}?",
+  "toast": {
+    "error": {
+      "renameExportFailed": "Viedyn kohteen uudelleennimeäminen epäonnistui: {{errorMessage}}"
+    }
+  },
+  "noExports": "Ei vietyjä kohteita",
+  "deleteExport": "Poista viety kohde",
+  "editExport": {
+    "title": "Nimeä uudelleen",
+    "desc": "Anna uusi nimi viedylle kohteelle.",
+    "saveExport": "Tallenna vienti"
+  }
+}
diff --git a/web/public/locales/fi/views/faceLibrary.json b/web/public/locales/fi/views/faceLibrary.json
new file mode 100644
index 000000000..041c7324f
--- /dev/null
+++ b/web/public/locales/fi/views/faceLibrary.json
@@ -0,0 +1,65 @@
+{
+  "description": {
+    "addFace": "Opastus: Uuden kokoelman lisääminen Kasvokirjastoon.",
+    "invalidName": "Virheellinen nimi. Nimi voi sisältää vain merkkejä, numeroita, välejä, heittomerkkejä, alaviivoja ja väliviivoja.",
+    "placeholder": "Anna nimi kokoelmalle"
+  },
+  "uploadFaceImage": {
+    "desc": "Lähetä kuva kasvojen tunnistukseen ja lisää se sivulle {{pageToggle}}",
+    "title": "Lähetä kasvokuva"
+  },
+  "details": {
+    "unknown": "Tuntematon",
+    "faceDesc": "Lisätiedot kohteesta, josta tämä kasvokuva tallennettiin",
+    "person": "Henkilö",
+    "timestamp": "Aikaleima",
+    "subLabelScore": "Alinimikkeen pisteet",
+    "face": "Kasvojen yksityiskohdat",
+    "scoreInfo": "Alatunnisteen pistemäärä on kaikkien tunnistettujen kasvojen varmuustasojen painotettu keskiarvo, joten se voi poiketa tilannekuvassa näkyvästä pistemäärästä."
+  },
+  "documentTitle": "Kasvokirjasto - Frigate",
+  "deleteFaceAttempts": {
+    "desc_one": "Oletko varma, että haluat poistaa {{count}} kasvon? Tätä toimintoa ei voi perua.",
+    "desc_other": "Oletko varma, että haluat poistaa {{count}} kasvoa? Tätä toimintoa ei voi perua.",
+    "title": "Poista kasvot"
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "{{count}} kasvo poistettu onnistuneesti.",
+      "deletedFace_other": "{{count}} kasvoa poistettu onnistuneesti."
+    }
+  },
+  "selectItem": "Valitse {{item}}",
+  "train": {
+    "empty": "Ei viimeaikaisia kasvojentunnistusyrityksiä",
+    "title": "Koulutus",
+    "aria": "Valitse kouluta"
+  },
+  "collections": "Kokoelmat",
+  "steps": {
+    "faceName": "Anna nimi kasvoille",
+    "uploadFace": "Lähetä kasvokuva",
+    "nextSteps": "Seuraavat vaiheet",
+    "description": {
+      "uploadFace": "Lataa kuva henkilöstä {{name}}, jossa hänen kasvonsa näkyvät suoraan edestä päin. Kuvaa ei tarvitse rajata pelkkiin kasvoihin."
+    }
+  },
+  "createFaceLibrary": {
+    "title": "Luo kokoelma",
+    "desc": "Luo uusi kokoelma",
+    "new": "Luo uusi kasvo",
+    "nextSteps": "Hyvän perustan luomiseksi huomioitavaa:<li>Käytä koulutus-välilehteä valitaksesi opetukseen kuvia kustakin tunnistetusta henkilöstä</li><li>Panosta mahdollisimman suoraan otettuihin kuviin; vältä kouluttamista kulmassa kuvatuilla kuvilla.</li></ul>"
+  },
+  "selectFace": "Valitse kasvo",
+  "deleteFaceLibrary": {
+    "title": "Poista nimi",
+    "desc": "Haluatko varmasti poistaa kokoelman {{name}}? Tämä poistaa pysyvästi kaikki liitetyt kasvot."
+  },
+  "renameFace": {
+    "title": "Uudelleennimeä kasvot",
+    "desc": "Anna uusi nimi tälle {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Poista kasvot"
+  }
+}
diff --git a/web/public/locales/fi/views/live.json b/web/public/locales/fi/views/live.json
new file mode 100644
index 000000000..69c0d23bf
--- /dev/null
+++ b/web/public/locales/fi/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Suora - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Suora - Frigate",
+  "lowBandwidthMode": "Pienen kaistanleveyden tila",
+  "twoWayTalk": {
+    "enable": "Ota käyttöön kaksisuuntainen puhe",
+    "disable": "Poista kaksisuuntainen puhe käytöstä"
+  },
+  "cameraAudio": {
+    "enable": "Ota kameran ääni käyttöön",
+    "disable": "Poista kameran ääni käytöstä"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Napsauta ruutua keskittääksesi kameran",
+        "enable": "Ota käyttöön napsauttamalla siirtäminen",
+        "disable": "Poista napsauttamalla siirtäminen"
+      },
+      "left": {
+        "label": "Siirrä PTZ-kameraa vasemmalle"
+      },
+      "up": {
+        "label": "Siirrä PTZ-kameraa ylös"
+      },
+      "down": {
+        "label": "Siirrä PTZ-kameraa alas"
+      },
+      "right": {
+        "label": "Siirrä PTZ-kameraa oikealle"
+      }
+    },
+    "zoom": {
+      "out": {
+        "label": "Zoomaa PTZ-kamera ulos"
+      },
+      "in": {
+        "label": "Zoomaa PTZ-kamera sisään"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Napsauta kehystä keskittääksesi PTZ-kamera"
+      }
+    },
+    "presets": "PTZ-kameroiden esiasetukset"
+  },
+  "camera": {
+    "enable": "Ota kamera käyttöön",
+    "disable": "Poista kamera käytöstä"
+  },
+  "muteCameras": {
+    "enable": "Mykistä kaikki kamerat",
+    "disable": "Poista kaikkien kameroiden mykistys"
+  },
+  "detect": {
+    "enable": "Ota tunnistus käyttöön",
+    "disable": "Poista tunnistus käytöstä"
+  },
+  "recording": {
+    "enable": "Ota tallennus käyttöön",
+    "disable": "Poista tallennus käytöstä"
+  },
+  "snapshots": {
+    "enable": "Ota tilannekuva käyttöön",
+    "disable": "Poista tilannekuva käytöstä"
+  },
+  "audioDetect": {
+    "enable": "Ota käyttöön äänen tunnistus",
+    "disable": "Poista äänen tunnistus käytöstä"
+  },
+  "autotracking": {
+    "enable": "Ota automaattinen seuranta käyttöön",
+    "disable": "Poista automaattinen seuranta käytöstä"
+  },
+  "streamStats": {
+    "enable": "Näytä suoratoiston tilastot",
+    "disable": "Piilota suoratoiston tilastot"
+  },
+  "manualRecording": {
+    "title": "Tallennus pyynnöstä",
+    "tips": "Aloita manuaalinen tapahtuma tämän kameran tallenteen tallennusasetusten perusteella.",
+    "playInBackground": {
+      "label": "Toista taustalla",
+      "desc": "Ota tämä asetus käyttöön, jos haluat jatkaa suoratoistoa kun soitin on piilotettu."
+    },
+    "showStats": {
+      "label": "Näytä tilastot",
+      "desc": "Ota tämä asetus käyttöön, jos haluat näyttää suoratoistotilastot kamerasyötteen päällä."
+    },
+    "debugView": "Virheenkorjausnäkymä",
+    "start": "Aloita tallennus pyynnöstä",
+    "started": "Manuaalinen pyynnöstätallennus aloitettu.",
+    "failedToStart": "Manuaalisen pyynnöstätallennuksen aloittaminen epäonnistui.",
+    "recordDisabledTips": "Koska tallennus on poistettu käytöstä tai rajoitettu tämän kameran asetuksissa, vain tilannekuva tallennetaan.",
+    "end": "Lopeta pyynnöstätallennus",
+    "ended": "Manuaalinen on-demand-tallennus lopetettu.",
+    "failedToEnd": "Manuaalisen pyynnöstätallennuksen lopettaminen epäonnistui."
+  },
+  "streamingSettings": "Suoratoistoasetukset",
+  "notifications": "Ilmoitukset",
+  "audio": "Ääni",
+  "suspend": {
+    "forTime": "Keskeytys: "
+  },
+  "stream": {
+    "title": "Suoratoisto",
+    "audio": {
+      "tips": {
+        "title": "Äänen on oltava kytkettynä kameraan ja määritettynä go2rtc:ssä tätä suoratoistoa varten.",
+        "documentation": "Lue dokumentaatio "
+      },
+      "available": "Ääni on saatavilla tälle suoratoistolle",
+      "unavailable": "Ääni ei ole saatavilla tälle suoratoistolle"
+    },
+    "twoWayTalk": {
+      "tips": "Laitteesi on tuettava ominaisuutta ja WebRTC:n on oltava määritetty kaksisuuntaista ääntä varten.",
+      "tips.documentation": "Lue dokumentaatio ",
+      "available": "Kaksisuuntainen ääni on saatavilla tässä suoratoistossa",
+      "unavailable": "Kaksisuuntainen ääni ei ole käytettävissä tässä suoratoistossa"
+    },
+    "lowBandwidth": {
+      "tips": "Live-näkymä on matalan kaistanleveyden tilassa puskuroinnin tai suoratoistovirheiden vuoksi.",
+      "resetStream": "Nollaa suoratoisto"
+    },
+    "playInBackground": {
+      "label": "Toista taustalla",
+      "tips": "Ota tämä asetus käyttöön, jos haluat jatkaa suoratoistoa, kun soitin on piilotettu."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Asetukset",
+    "cameraEnabled": "Kamera käytössä",
+    "objectDetection": "Kohteen tunnistus",
+    "recording": "Nauhoitus",
+    "snapshots": "Tilannekuvat",
+    "audioDetection": "Äänen tunnistus",
+    "autotracking": "Automaattinen seuranta"
+  },
+  "history": {
+    "label": "Näytä historiallista materiaalia"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Kaikki",
+      "motion": "Liike",
+      "active_objects": "Aktiiviset kohteet"
+    },
+    "notAllTips": "{{source}}-tallenteiden säilytysmäärityksesi on asetettu <code>tila: {{effectiveRetainMode}}</code>, joten tämä tilattu tallenne säilyttää vain ne osat joiden tyyppi on {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Muokkaa asettelua",
+    "group": {
+      "label": "Muokkaa kameraryhmää"
+    },
+    "exitEdit": "Poistu muokkauksesta"
+  }
+}
diff --git a/web/public/locales/fi/views/recording.json b/web/public/locales/fi/views/recording.json
new file mode 100644
index 000000000..84daba26f
--- /dev/null
+++ b/web/public/locales/fi/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "calendar": "Kalenteri",
+  "filter": "Suodatin",
+  "filters": "Suodattimet",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Sopimaton aikaväli valittu",
+      "endTimeMustAfterStartTime": "Loppuaika täytyy olla aloituksen jälkeen"
+    }
+  },
+  "export": "Vie"
+}
diff --git a/web/public/locales/fi/views/search.json b/web/public/locales/fi/views/search.json
new file mode 100644
index 000000000..fab605088
--- /dev/null
+++ b/web/public/locales/fi/views/search.json
@@ -0,0 +1,62 @@
+{
+  "search": "Etsi",
+  "savedSearches": "Tallennetut haut",
+  "searchFor": "Etsi {{inputValue}}",
+  "button": {
+    "clear": "Tyhjennä haku",
+    "save": "Tallenna haku",
+    "delete": "Poista tallennettu haku",
+    "filterInformation": "Suodattimen tiedot",
+    "filterActive": "Suodattimia valittuina"
+  },
+  "trackedObjectId": "Seuratun kohteen ID",
+  "filter": {
+    "label": {
+      "cameras": "Kamerat",
+      "labels": "Nimikkeet",
+      "zones": "Alueet",
+      "sub_labels": "Alinimikkeet",
+      "search_type": "Haun tyyppi",
+      "time_range": "Aikaikkuna",
+      "before": "Ennen",
+      "after": "Jälkeen",
+      "min_score": "Minimi pisteet",
+      "max_score": "Maksimi pisteet",
+      "min_speed": "Minimi nopeus",
+      "max_speed": "Maksimi nopeus",
+      "recognized_license_plate": "Tunnistettu rekisterikilpi",
+      "has_clip": "Leike löytyy",
+      "has_snapshot": "Tilannekuva löytyy"
+    },
+    "searchType": {
+      "thumbnail": "Kuvake",
+      "description": "Kuvaus"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "'Ennen' ajan täytyy olla myöhemmin kun 'jälkeen' aika.",
+        "afterDatebeEarlierBefore": "'Jälkeen' ajan täytyy olla aiemmin kun 'ennen' aika.",
+        "minScoreMustBeLessOrEqualMaxScore": "Arvon 'min_score' täytyy olla pienempi tai yhtäsuuri kuin 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Arvon 'max_score' täytyy olla suurempi tai yhtäsuuri kuin 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'Minimi nopeus' tulee olla pienempi tai yhtäsuuri kuin 'maksimi nopeus'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'Maksimi nopeus' tulee olla suurempi tai yhtä suuri kuin 'minimi nopeus'."
+      }
+    },
+    "tips": {
+      "desc": {
+        "exampleLabel": "Esimerkki:"
+      },
+      "title": "Tekstisuodattimien käyttö"
+    },
+    "header": {
+      "currentFilterType": "Suodata arvoja",
+      "noFilters": "Suodattimet",
+      "activeFilters": "Käytössä olevat suodattimet"
+    }
+  },
+  "similaritySearch": {
+    "title": "Samankaltaisten kohteiden haku",
+    "active": "Samankaltaisuushaku aktiivinen",
+    "clear": "Poista samankaltaisuushaku"
+  }
+}
diff --git a/web/public/locales/fi/views/settings.json b/web/public/locales/fi/views/settings.json
new file mode 100644
index 000000000..23b910dda
--- /dev/null
+++ b/web/public/locales/fi/views/settings.json
@@ -0,0 +1,431 @@
+{
+  "documentTitle": {
+    "camera": "Kamera-asetukset - Frigate",
+    "classification": "Klassifiointiasetukset - Frigate",
+    "masksAndZones": "Peite ja vyöhykemuokkain - Frigate",
+    "motionTuner": "Liikesäädin - Frigate",
+    "default": "Asetukset - Frigate",
+    "general": "Yleiset asetukset - Frigate",
+    "frigatePlus": "Frigate+ asetukset - Frigate",
+    "object": "Virheenjäljitys - Frigate",
+    "authentication": "Autentikointiuasetukset - Frigate",
+    "notifications": "Ilmoitusasetukset - Frigate",
+    "enrichments": "Laajennusasetukset – Frigate"
+  },
+  "menu": {
+    "ui": "Käyttöliittymä",
+    "cameras": "Kameroiden asetukset",
+    "users": "Käyttäjät",
+    "classification": "Klassifiointi",
+    "frigateplus": "Frigate+",
+    "masksAndZones": "Maskit / alueet",
+    "debug": "Debuggaus",
+    "motionTuner": "Liikesäädin",
+    "notifications": "Ilmoitukset",
+    "enrichments": "Rikasteet"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "desc": "Haluatko tallentaa muutokset ennen jatkamista?",
+      "title": "Et ole tallentanut muutoksia."
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Ei kameraa"
+  },
+  "general": {
+    "title": "Yleiset asetukset",
+    "liveDashboard": {
+      "automaticLiveView": {
+        "label": "Automaattinen reaaliaika-näkymä",
+        "desc": "Vaihda automaattisesti reaaliaikaiseen kameranäkymään kun liikettä on huomattu. Mikäli asetus on kytketty pois päivittyy reaaliaikaisen kojelaudan kuva vain kerran minuutissa."
+      },
+      "title": "Reaaliaikainen kojelauta",
+      "playAlertVideos": {
+        "label": "Näytä hälyytysvideot",
+        "desc": "Vakiona viimeaikaiset hälytykset pyörivät pieninä luuppaavina videoina reaaliaikaisella kojelaudalla. Ota tämä asetus pois päältä näyttääksesi vain staattisen kuvan viimeaikaisista hälytyksistä tässä laitteessa/selaimessa."
+      }
+    },
+    "storedLayouts": {
+      "title": "Tallennetut sijoittelut",
+      "desc": "Kameroiden sijoittelua kameraryhmissä voidaan raahata tai niiden kokoa muuttaa. Sijainnit tallennetaan selaimen paikalliseen muistiin.",
+      "clearAll": "Tyhjennä kaikki sijoittelut"
+    },
+    "cameraGroupStreaming": {
+      "title": "Kameraryhmän striimauksen asetukset",
+      "desc": "Striimauksen asetukset jokaiselle kameraryhmälle tallennetaan selaimesi paikalliseen muistiin.",
+      "clearAll": "Tyhjennä kaikkai striimauksen asetukset"
+    },
+    "recordingsViewer": {
+      "title": "Tallennusten näyttäjä",
+      "defaultPlaybackRate": {
+        "label": "Toiston vakionopeus",
+        "desc": "Toiston vakionopeus tallennusten näytölle."
+      }
+    },
+    "calendar": {
+      "title": "Kalenteri",
+      "firstWeekday": {
+        "label": "Viikon ensimmäinen päivä",
+        "desc": "Päivä josta kertauskalenterin viikot alkaa.",
+        "sunday": "sunnuntai",
+        "monday": "maanantai"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Tyhjennä tallennetut sijoittelut kameralle nimeltä {{cameraName}}",
+        "clearStreamingSettings": "Tyhjennä striimausasetukset kaikista kameraryhmistä."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Sijoittelujen tyhjentäminen ei onnistunut: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Striimausasetusten tyhjentäminen ei onnistunut: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "title": "Klassifiointiasetukset",
+    "semanticSearch": {
+      "reindexNow": {
+        "label": "Uudelleen indeksoi nyt",
+        "confirmDesc": "Oletko varma että haluat indeksoida uudelleen kaikki seurattujen kohteiden upotukset? Tämä prosessi toimii taustalla ja saattaa maksimoida prosessorin käytön sekä viedä runsaasti aikaa. Voit seurata prosessin etenemistä tarkastelu -sivulta.",
+        "desc": "Indeksoinnin luominen uudelleen jälleenrakentaa upotukset kaikkiin seurattuihin kohteisiin. Tämä prosessi toimii taustalla ja saattaa maksimoida prosessorin käytön sekä viedä reilusti aikaa riippuen paljonko seurattavia kohteita sinulla on.",
+        "confirmButton": "Indeksoi uudelleen",
+        "success": "Uudelleen indeksointi aloitettiin onnistuneesti.",
+        "alreadyInProgress": "Uudelleen indeksointi on jo käynnissä.",
+        "error": "Uudelleen indeksointia ei voitu aloittaa: {{errorMessage}}",
+        "confirmTitle": "Vahvista uudelleen indeksointi"
+      },
+      "modelSize": {
+        "label": "Mallin koko",
+        "small": {
+          "desc": "Valitessa <em>pieni</em> käytetään kvantisoitunutta versiota mallista joka käyttää vähemmän muistia sekä prosesoria upotuksen laatueron ollessa lähes olematon.",
+          "title": "pieni"
+        },
+        "large": {
+          "desc": "Valittaessa <em>suuri</em> käytettään täyttä Jina-mallia joka ajetaan automaattisesti grafiikkaytimellä mikäli mahdollista.",
+          "title": "suuri"
+        },
+        "desc": "Semanttisen haun upotuksiin käytetyn mallin koko."
+      },
+      "title": "Semanttinen haku",
+      "readTheDocumentation": "Lue dokumentaatio",
+      "desc": "Frigaten semanttisen haun kanssa voit hakea seurattuja kohteita esikatseluista joko kuvasta itsestään, käyttäjän määrittelemän teksti-kuvauksen perusteella tai automaattisesti generoidun kuvauksen kanssa."
+    },
+    "faceRecognition": {
+      "title": "Kasvojentunnistus",
+      "readTheDocumentation": "Lue dokumentaatio",
+      "modelSize": {
+        "label": "Mallin koko",
+        "desc": "Kasvojentunnistukseen käytetyn mallin koko.",
+        "small": {
+          "title": "pieni",
+          "desc": "Valitessa <em>pieni</em> FaceNet käyttää kasvojen upotukseen mallia joka toimii tehokkaasti suurimmalla osalla prosessoreista."
+        },
+        "large": {
+          "title": "suuri",
+          "desc": "Valitessa <em>suuri</em> käytetään ArcFace mallia kasvojen upotukseen joka ajetaan automaattisesti grafiikkaprosessorilla mikäli mahdollista."
+        }
+      },
+      "desc": "Kasvojentunnistus sallii nimien antamisen ihmisille ja kun heidän kasvonsa tunnistetaan Frigate antaa henkilölle nimen ala-viittenä. Tämä tieto sisällytetään käyttöliittymään, filttereihin sekä ilmoituksiin."
+    },
+    "licensePlateRecognition": {
+      "title": "Rekisterikilven tunnistus",
+      "desc": "Frigate voi tunnistaa ajoneuvojen rekisterikilpiä ja lisätä tunnistetut kirjaimet automaattisesti recognized_license_plate -kenttään tai tunnettu nimi sub_label kohteisiin joiden tyyppi on ajoneuvo. Yleinen käyttökohde on lukea pihatielle ajavien tai kadulla ohiajavien ajoneuvojen rekisterikilvet.",
+      "readTheDocumentation": "Lue dokumentaatio"
+    },
+    "toast": {
+      "success": "Klassifiointiasetukset on tallennettu. Käynnistä Frigate uudelleen saadaksesi ne käyttöön.",
+      "error": "Konfiguraatio muutoksia ei voitu tallentaa: {{errorMessage}}"
+    },
+    "restart_required": "Tarvitaan uudelleenkäynnistys (luokitusasetuksia muutettu)",
+    "birdClassification": {
+      "title": "Lintujen luokittelu",
+      "desc": "Lintujen luokittelu tunnistaa tunnetut linnut kvantisoidun Tensorflow-mallin avulla. Kun tunnettu lintu tunnistetaan, sen yleinen nimi lisätään alitunnisteena. Tämä tieto sisältyy käyttöliittymään, suodattimiin ja ilmoituksiin."
+    }
+  },
+  "camera": {
+    "title": "Kamera-asetukset",
+    "streams": {
+      "title": "Striimit",
+      "desc": "Poista kamera käytöstä väliaikaisesti, kunnes Frigate uudelleenkäynnistetään. Kameran poiskytkeminen lopettaa kameran videostriimien käsittelyn. Havainnot, tallennus ja debuggaus ovat pois käytöstä.<br /><em>Huom: tämä ei poista käytöstä go2rtc uusinta striimejä.</em>"
+    },
+    "review": {
+      "title": "Katselu",
+      "desc": "Kytke väliaikaisesti päälle/pois hälytykset ja tunnistus tälle kameralle, kunnes Frigate käynnistetään uudelleen. Kun ne ovat pois päältä, uusia katseltavia tapahtumia ei luoda. ",
+      "alerts": "Hälytykset ",
+      "detections": "Tunnistukset "
+    },
+    "reviewClassification": {
+      "title": "Katseluiden klassifiointi",
+      "readTheDocumentation": "Lue dokumentaatio",
+      "noDefinedZones": "Tälle kameralle ei ole määritelty vyöhykkeitä.",
+      "objectAlertsTips": "Kaikki {{alertsLabels}} objektit lähteelle {{cameraName}} näytetään hälytyksinä.",
+      "zoneObjectAlertsTips": "Kaikki {{alertsLabels}} objektit jotka tunnistetaan alueella {{zone}} lähteessä {{cameraName}} näytetään Hälytyksinä.",
+      "objectDetectionsTips": "Kaikki {{detectionsLabels}} objektit joita ei ole kategorisoitu lähteessä {{cameraName}} näytetään Tunnistuksina niiden vyöhykkeestä huolimatta.",
+      "zoneObjectDetectionsTips": {
+        "text": "Kaikki {{detectionsLabels}} objektit joita ei ole kategorisoitu vyöhykkeellä {{zone}} lähteessä {{cameraName}} näytetään Tunnistuksina.",
+        "notSelectDetections": "Kaikki {{detectionsLabels}} objektit jotka tunnistetaan vyöhykkeellä {{zone}} lähteessä {{cameraName}}, joita ei ole kategorisoitu Hälytyksiksi näytetään Tunnistuksina niiden vyöhykkeestä huolimatta.",
+        "regardlessOfZoneObjectDetectionsTips": "Kaikki {{detectionsLabels}} objektit joita ei ole kategorisoitu lähteessä {{cameraName}} näytetään Tunnistuksina niiden vyöhykkeestä huolimatta."
+      },
+      "selectAlertsZones": "Valitse vyöhykkeet Hälytystä varten",
+      "desc": "Frigate kategorisoi tahtumia Hälytyksiksi ja Tunnistuksiksi. Vakiona kaikki <em>henkilö</em> sekä <em>ajoneuvo</em> objektit käsitellään Hälytyksinä. Voit kategorisoida uudelleen katseltavat tapahtumat antamalla niille vaaditut alueet.",
+      "limitDetections": "Rajoita tunnistukset tiettyihin vyöhykkeisiin",
+      "selectDetectionsZones": "Valitse vyöhykkeet tunnistusta varten",
+      "toast": {
+        "success": "Luokittelumäärityksen tarkistus on tallennettu. Käynnistä Frigate uudelleen muutosten käyttöönottamiseksi."
+      }
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Kaikki peitteet ja vyöhykkeet"
+    },
+    "form": {
+      "polygonDrawing": {
+        "delete": {
+          "desc": "Oletko varma että haluat poistaa {{type}}<em>{{name}}</em>?",
+          "success": "{{name}} on poistettu.",
+          "title": "Varmista poistaminen"
+        },
+        "error": {
+          "mustBeFinished": "Polygonien piirron pitää olla valmis ennen tallennusta."
+        },
+        "removeLastPoint": "Poista edellinen piste",
+        "snapPoints": {
+          "true": "Napsauta pisteet",
+          "false": "Älä napsauta pisteitä"
+        },
+        "reset": {
+          "label": "Poista kaikki pisteet"
+        }
+      },
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Alueen nimen tulee olla vähintään 2 merkin pituinen.",
+          "alreadyExists": "Tämän niminen alue on jo olemassa.",
+          "mustNotContainPeriod": "Alueen nimessä ei saa olla pisteitä.",
+          "hasIllegalCharacter": "Vyöhykkeen nimessä on kiellettyjä merkkejä.",
+          "mustNotBeSameWithCamera": "Alueen nimi ei saa olla sama kuin kameran nimi."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Välimatkan tulee olla suurempi tai yhtä suuri kuin 0.1.",
+          "mustBeFilled": "Kaikki välimatka -kentät tulee olla täytetty jotta nopeusarviota voidaan käyttää."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Inertian tulee olla yli 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Oleiluaika tulee olla suurempi tai yhtä suuri kuin 0."
+        }
+      }
+    },
+    "zones": {
+      "label": "Vyöhykkeet",
+      "documentTitle": "Muokkaa vyöhykkeitä - Frigate",
+      "edit": "Myokkaa vyöhykettä",
+      "inertia": {
+        "title": "Inertia",
+        "desc": "Määrittää, kuinka monta kehystä objektin on oltava vyöhykkeellä, ennen kuin se lasketaan vyöhykkeeksi. <em>Oletus: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Oleskeluaika",
+        "desc": "Asettaa vähimmäisajan sekunteina, jonka objektin on oltava vyöhykkeellä, jotta se aktivoituu. <em>Oletus: 0</em>"
+      },
+      "objects": {
+        "title": "Kohteet",
+        "desc": "Luettelo tähän vyöhykkeeseen liittyvistä kohteista."
+      },
+      "desc": {
+        "title": "Vyöhykkeiden avulla voit määrittää tietyn alueen kuvassa, jotta voit selvittää, onko kohde kyseisellä alueella.",
+        "documentation": "Dokumentaatio"
+      },
+      "add": "Lisää vyöhyke",
+      "clickDrawPolygon": "Napsauta piirtääksesi monikulmion kuvaan.",
+      "name": {
+        "title": "Nimi",
+        "inputPlaceHolder": "Anna nimi…",
+        "tips": "Nimen on oltava vähintään kaksi merkkiä pitkä, eikä se saa olla kameran tai toisen vyöhykkeen nimi."
+      },
+      "point_one": "{{count}} piste",
+      "point_other": "{{count}} pisteet",
+      "allObjects": "Kaikki kohteet",
+      "speedEstimation": {
+        "title": "Nopeuden arviointi",
+        "desc": "Ota käyttöön nopeuden arviointi tällä vyöhykkeellä oleville kohteille. Sillä on oltava täsmälleen 4 pistettä."
+      },
+      "speedThreshold": {
+        "title": "Nopeuskynnys ({{unit}})",
+        "desc": "Määrittää kohteiden vähimmäisnopeuden, joka otetaan huomioon tässä vyöhykkeessä.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Nopeuden arviointi on poistettu käytöstä tällä vyöhykkeellä. Vyöhykkeillä joilla on nopeuden arviointi, on oltava täsmälleen 4 pistettä.",
+            "loiteringTimeError": "Vyöhykkeitä, joiden oleskeluajat ovat yli 0, ei tule käyttää nopeuden arvioinnissa."
+          }
+        }
+      },
+      "toast": {
+        "success": "Vyöhyke ({{zoneName}}) on tallennettu. Käynnistä Frigatti uudelleen muutosten käyttöönottamiseksi."
+      }
+    },
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "Koordinaattien kopioiminen leikepöydälle epäonnistui."
+      },
+      "success": {
+        "copyCoordinates": "{{polyName}} - koordinaatit kopioitu leikepöydälle."
+      }
+    },
+    "restart_required": "Uudelleenkäynnistys vaaditaan (peitteitä/vyöhykeitä muutettu)",
+    "motionMasks": {
+      "point_one": "{{count}} piste",
+      "point_other": "{{count}} pisteet",
+      "clickDrawPolygon": "Napsauta piirtääksesi monikulmion kuvaan.",
+      "label": "Liikepeitto",
+      "context": {
+        "documentation": "Lue dokumentaatio",
+        "title": "Liikepeittoja käytetään estämään ei-toivottujen liiketyyppien (esimerkiksi puiden oksat, kameroiden aikaleimat) aiheuttamat tunnistukset. Liikepeittoja tulisi käyttää <em>hyvin säästeliäästi</em>, sillä liiallinen maskaus vaikeuttaa kohteiden seurantaa."
+      },
+      "documentTitle": "Muokkaa liikepeittoa - Frigate",
+      "desc": {
+        "title": "Liikepeittoa käytetään estämään ei-toivottujen liiketyyppien aiheuttamat tunnistukset. Liiallinen peittäminen vaikeuttaa kohteiden seurantaa.",
+        "documentation": "Dokumentaatio"
+      },
+      "add": "Uusi liikepeitto",
+      "edit": "Muokkaa liikepeittoa",
+      "polygonAreaTooLarge": {
+        "title": "Liikepeitto peittää {{polygonArea}}% kameran kuvasta. Suuria liikemaskeja ei suositella.",
+        "tips": "Liikepeitto eivät estä kohteiden havaitsemista. Sinun tulisi sen sijaan käyttää vaadittua vyöhykettä.",
+        "documentation": "Lue dokumentaatio"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} on tallennettu. Käynnistä Frigatti uudelleen muutosten käyttöönottamiseksi.",
+          "noName": "Liikepeitto on tallennettu. Käynnistä Frigatti uudelleen muutosten käyttöönottamiseksi."
+        }
+      }
+    },
+    "objectMasks": {
+      "point_one": "{{count}} piste",
+      "point_other": "{{count}} pisteet",
+      "label": "Kohdepeitot",
+      "context": "Objektisuodatinpeittoja käytetään suodattamaan pois väärät positiiviset tulokset tietylle kohdetyypille sijainnin perusteella.",
+      "objects": {
+        "title": "Kohteet",
+        "desc": "Kohdetyyppi, jota käytetään tähän kohdepeittoon.",
+        "allObjectTypes": "Kaikki kohdetyypit"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} on tallennettu. Käynnistä Frigatti uudelleen muutosten käyttöönottamiseksi.",
+          "noName": "Kohdepeitto on tallennettu. Käynnistä Frigatti uudelleen muutosten käyttöönottamiseksi."
+        }
+      },
+      "documentTitle": "Muokkaa kohdepeittoa - Frigate",
+      "desc": {
+        "title": "Objektisuodatinpeittoja käytetään suodattamaan pois väärät positiiviset tulokset tietylle kohdetyypille sijainnin perusteella.",
+        "documentation": "Dokumentaatio"
+      },
+      "add": "Lisää kohdepeitto",
+      "edit": "Muokkaa kohdepeittoa",
+      "clickDrawPolygon": "Napsauta piirtääksesi monikulmion kuvaan."
+    }
+  },
+  "debug": {
+    "regions": {
+      "title": "Alueet",
+      "desc": "Näytä kohdeilmaisimelle lähetetyn kiinnostuksen kohteena olevan alueen laatikko",
+      "tips": "<p><strong>Aluelaatikot</strong></p><br><p>Kirkkaanvihreät laatikot peittävät kuvassa olevat kiinnostavat alueet, jotka lähetetään objektinilmaisimelle.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Objektin muodon suodattimen piirtäminen",
+      "desc": "Piirrä kuvaan suorakulmio nähdäksesi pinta-alan ja kuvasuhteen tiedot",
+      "document": "Lue dokumentaatio ",
+      "score": "Pisteet",
+      "ratio": "Suhde",
+      "area": "Alue",
+      "tips": "Ota tämä asetus käyttöön piirtääksesi kamerakuvaan suorakulmion, joka näyttää sen pinta-alan ja suhteen. Näitä arvoja voidaan sitten käyttää objektin muodon suodatusparametrien asettamiseen asetuksissasi."
+    },
+    "timestamp": {
+      "title": "Aikaleima",
+      "desc": "Lisää aikaleima kuvan päälle"
+    },
+    "noObjects": "Ei kohteita",
+    "zones": {
+      "title": "Vyöhykkeet",
+      "desc": "Näytä määriteltyjen vyöhykkeiden ääriviivat"
+    },
+    "boundingBoxes": {
+      "colors": {
+        "info": "<li>Käynnistettäessä kullekin kohteen merkinnälle määritetään eri värit</li><li>Tummansininen ohut viiva osoittaa, että kohdetta ei ole havaittu tällä hetkellä</li><li>Harmaa ohut viiva osoittaa, että kohde on havaittu paikallaan olevaksi</li><li>Paksu viiva osoittaa, että kohde on automaattisen seurannan kohteena (kun se on käytössä)</li>"
+      }
+    },
+    "mask": {
+      "title": "Liikepeitot",
+      "desc": "Näytä liikepeiton monikulmiot"
+    },
+    "motion": {
+      "title": "Liikelaatikot",
+      "desc": "Näytä laatikot alueiden ympärillä, joilla liikettä havaitaan",
+      "tips": "<p><strong>Liikelaatikot</strong></p><br><p>Punaiset laatikot peittävät ruudun alueet, joilla liikettä havaitaan parhaillaan.</p>"
+    }
+  },
+  "users": {
+    "title": "Käyttäjät",
+    "management": {
+      "title": "Käyttäjien hallinta",
+      "desc": "Hallinnoi tämän Frigate-instanssin käyttäjätilejä."
+    },
+    "addUser": "Lisää käyttäjä",
+    "updatePassword": "Päivitä salasana",
+    "toast": {
+      "success": {
+        "roleUpdated": "Rooli päivitetty käyttäjälle {{user}}",
+        "createUser": "Käyttäjä {{user}} luotu onnistuneesti",
+        "deleteUser": "Käyttäjä {{user}} poistettu onnistuneesti",
+        "updatePassword": "Salasana päivitetty onnistuneesti."
+      },
+      "error": {
+        "setPasswordFailed": "Salasanan tallentaminen epäonnistui: {{errorMessage}}",
+        "createUserFailed": "Käyttäjän luonti epäonnistui: {{errorMessage}}",
+        "roleUpdateFailed": "Roolin päivittäminen epäonnistui: {{errorMessage}}",
+        "deleteUserFailed": "Käyttäjän poisto epäonistui: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Käyttäjänimi",
+      "actions": "Toiminnot",
+      "noUsers": "Käyttäjiä ei löytynyt.",
+      "changeRole": "Vaihda käyttäjäroolia",
+      "password": "Salasana",
+      "deleteUser": "Poista tili",
+      "role": "Rooli"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "desc": "Vain kirjaimet, numerot, pisteet ja alaviivat sallitaan.",
+          "placeholder": "Syötä käyttäjätunnus",
+          "title": "Käyttäjätunnus"
+        }
+      }
+    }
+  },
+  "motionDetectionTuner": {
+    "title": "Liiketunnistuksen säätäminen",
+    "desc": {
+      "title": "Frigate käyttää liiketunnistusta ensimmäisenä tarkistuksena nähdäkseen, tapahtuuko kuvassa jotain, mikä kannattaisi tarkistaa objektitunnistuksella.",
+      "documentation": "Lue liikkeensäädön opas"
+    },
+    "Threshold": {
+      "title": "Kynnys"
+    }
+  }
+}
diff --git a/web/public/locales/fi/views/system.json b/web/public/locales/fi/views/system.json
new file mode 100644
index 000000000..5000e45c6
--- /dev/null
+++ b/web/public/locales/fi/views/system.json
@@ -0,0 +1,70 @@
+{
+  "logs": {
+    "type": {
+      "timestamp": "Aikaleima",
+      "tag": "Tagi",
+      "message": "Viesti",
+      "label": "Tyyppi"
+    },
+    "copy": {
+      "label": "Kopioi leikepöydälle",
+      "success": "Lokit kopioitu leikepöydälle",
+      "error": "Lokeja ei voitu kopioida leikepöydälle"
+    },
+    "download": {
+      "label": "Lataa lokit"
+    },
+    "tips": "Lokeja toistetaan palvelimelta",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Virhe noudettaessa lokeja: {{errorMessage}}",
+        "whileStreamingLogs": "Virhe toistettaessa lokeja: {{errorMessage}}"
+      }
+    }
+  },
+  "documentTitle": {
+    "cameras": "Kameroiden tilastot - Frigate",
+    "storage": "Tallenteiden tilastot - Fgirage",
+    "general": "Yleiset tilastot - Frigate",
+    "enrichments": "Rikastetut tilastot - Frigate",
+    "logs": {
+      "frigate": "Frigaten lokit - Frigate",
+      "go2rtc": "Go2RTC lokit - Frigate",
+      "nginx": "Nginx lokit - Frigate"
+    }
+  },
+  "title": "Järjestelmä",
+  "metrics": "Järjestelmämittarit",
+  "general": {
+    "hardwareInfo": {
+      "title": "Laitteiston tiedot",
+      "gpuUsage": "GPU:n käyttö",
+      "gpuMemory": "GPU:n muisti",
+      "gpuEncoder": "GPU-enkooderi",
+      "gpuDecoder": "GPU-dekooderi",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfon tulostus",
+          "returnCode": "Paluuarvo: {{code}}"
+        },
+        "toast": {
+          "success": "Kopioi GPU:n tiedot leikepöydälle"
+        },
+        "copyInfo": {
+          "label": "Kopioi GPU:n tiedot"
+        },
+        "closeInfo": {
+          "label": "Sulje GPU:n tiedot"
+        }
+      }
+    },
+    "detector": {
+      "memoryUsage": "Ilmaiseman muistinkäyttö",
+      "title": "Ilmaisimet",
+      "inferenceSpeed": "Ilmaisimen päättelynopeus",
+      "cpuUsage": "Ilmaisimen CPU-käyttö",
+      "temperature": "Ilmaisimen lämpötila"
+    },
+    "title": "Yleinen"
+  }
+}
diff --git a/web/public/locales/fr/audio.json b/web/public/locales/fr/audio.json
new file mode 100644
index 000000000..b773f026b
--- /dev/null
+++ b/web/public/locales/fr/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Conversation",
+  "babbling": "Babillage",
+  "yell": "Crier",
+  "bicycle": "Vélo",
+  "car": "Voiture",
+  "bellow": "Ci-dessous",
+  "whispering": "Chuchotement",
+  "laughter": "Rires",
+  "snicker": "Ricanement",
+  "crying": "Pleurs",
+  "boat": "Bateau",
+  "bus": "Bus",
+  "train": "Train",
+  "motorcycle": "Moto",
+  "whoop": "Cri",
+  "sigh": "Soupir",
+  "singing": "Chant",
+  "choir": "Chorale",
+  "yodeling": "Yodel",
+  "chant": "Chant",
+  "mantra": "Mantra",
+  "child_singing": "Chant d'enfant",
+  "bird": "Oiseau",
+  "cat": "chat",
+  "synthetic_singing": "Chant synthétique",
+  "rapping": "Rap",
+  "horse": "Cheval",
+  "dog": "Chien",
+  "sheep": "Mouton",
+  "whistling": "Sifflement",
+  "breathing": "Respiration",
+  "snoring": "Ronflement",
+  "gasp": "Souffle",
+  "pant": "halètement",
+  "snort": "Reniflement",
+  "camera": "Caméra",
+  "cough": "Toussotement",
+  "groan": "Gémissement",
+  "grunt": "Grognement",
+  "throat_clearing": "Éclaircissement de la gorge",
+  "wheeze": "Respiration bruyante",
+  "sneeze": "Éternuement",
+  "sniff": "Reniflement",
+  "chewing": "Mastication",
+  "gargling": "Gargarisme",
+  "ambulance": "Ambulance",
+  "police_car": "Voiture de police",
+  "emergency_vehicle": "Véhicule d'urgence",
+  "subway": "Métro",
+  "fire_alarm": "Alarme Incendie",
+  "smoke_detector": "Détecteur de Fumée",
+  "siren": "Sirène",
+  "pulleys": "Poulies",
+  "gears": "Engrenages",
+  "clock": "Horloge",
+  "ratchet": "Cliquet",
+  "mechanisms": "Mécanismes",
+  "steam_whistle": "Sifflet à vapeur",
+  "whistle": "Sifflet",
+  "foghorn": "Corne de brume",
+  "tools": "Outils",
+  "printer": "Imprimante",
+  "air_conditioning": "Climatisation",
+  "mechanical_fan": "Ventilateur mécanique",
+  "sewing_machine": "Machine à coudre",
+  "wood": "Bois",
+  "fireworks": "Feux d'artifice",
+  "glass": "Verre",
+  "television": "Télévision",
+  "sound_effect": "Effet sonore",
+  "burping": "Rots",
+  "fart": "Pet",
+  "crowd": "Foule",
+  "children_playing": "Enfants en train de jouer",
+  "animal": "Animal",
+  "bark": "Aboiement",
+  "pig": "Cochon",
+  "goat": "Chèvre",
+  "chicken": "Poulet",
+  "turkey": "Dinde",
+  "duck": "Canard",
+  "goose": "Dindon",
+  "wild_animals": "Animaux Sauvages",
+  "crow": "Corbeau",
+  "dogs": "Chiens",
+  "mouse": "Souris",
+  "insect": "Insecte",
+  "cricket": "Grillon",
+  "mosquito": "Moustique",
+  "fly": "Mouche",
+  "frog": "Grenouille",
+  "snake": "Serpent",
+  "music": "Musique",
+  "guitar": "Guitare",
+  "electric_guitar": "Guitare électrique",
+  "keyboard": "Clavier",
+  "piano": "Piano",
+  "vehicle": "Véhicule",
+  "skateboard": "Skateboard",
+  "door": "Porte",
+  "blender": "Mixer",
+  "hair_dryer": "Sèche cheveux",
+  "toothbrush": "Brosse à dents",
+  "sink": "Lavabo",
+  "scissors": "Paire de ciseaux",
+  "humming": "Bourdonnement",
+  "shuffle": "Mélanger",
+  "footsteps": "Pas",
+  "hiccup": "Hoquet",
+  "finger_snapping": "Claquement de doigts",
+  "clapping": "Claquements",
+  "applause": "Applaudissements",
+  "heartbeat": "Battements de coeur",
+  "cheering": "Applaudissement",
+  "electric_shaver": "Rasoir électrique",
+  "truck": "Camion",
+  "run": "Démarrer",
+  "biting": "Mordre",
+  "stomach_rumble": "Gargouillements d'estomac",
+  "hands": "Mains",
+  "heart_murmur": "Souffle au cœur",
+  "chatter": "Bavarder",
+  "pets": "Animaux de compagnie",
+  "yip": "Ouais",
+  "howl": "Hurler",
+  "growling": "Grondement",
+  "whimper_dog": "Gémissements de chien",
+  "purr": "Ronronnements",
+  "caterwaul": "Miaulement",
+  "meow": "Miaou",
+  "livestock": "Bétail",
+  "neigh": "Hennissement",
+  "quack": "Coin-coin",
+  "honk": "Klaxon",
+  "roaring_cats": "Feulements",
+  "roar": "Rugissements",
+  "chirp": "Gazouillis",
+  "squawk": "Braillement",
+  "pigeon": "Pigeon",
+  "coo": "Roucoulement",
+  "caw": "Croassement",
+  "owl": "Chouette",
+  "hoot": "Hululement",
+  "flapping_wings": "Battement d'ailes",
+  "rats": "Rats",
+  "patter": "Crépitements",
+  "buzz": "Bourdonnement",
+  "croak": "Coassement",
+  "rattle": "Cliquetis",
+  "whale_vocalization": "Chant des baleines",
+  "musical_instrument": "Instrument de musique",
+  "plucked_string_instrument": "Instrument à cordes pincées",
+  "bass_guitar": "Guitare basse",
+  "acoustic_guitar": "Guitare acoustique",
+  "tapping": "Tapotement",
+  "strum": "Grattement",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandoline",
+  "steel_guitar": "Steel Guitar",
+  "zither": "Cithare",
+  "ukulele": "Ukulélé",
+  "electric_piano": "Piano électrique",
+  "organ": "Orgue",
+  "electronic_organ": "Orgue électrique",
+  "hammond_organ": "Orgue Hammond",
+  "synthesizer": "Synthétiseur",
+  "sampler": "Échantillonneur",
+  "harpsichord": "Clavecin",
+  "percussion": "Percussions",
+  "drum_kit": "Batterie",
+  "drum_machine": "Boîte à rythmes",
+  "drum": "Tambour",
+  "snare_drum": "Caisse claire",
+  "rimshot": "Rimshot",
+  "drum_roll": "Roulement de tambour",
+  "bass_drum": "Grosse caisse",
+  "timpani": "Timbales",
+  "tabla": "Tabla",
+  "cymbal": "Cymbale",
+  "hi_hat": "Charleston",
+  "wood_block": "Wood Block",
+  "maraca": "Maraca",
+  "gong": "Gong",
+  "tubular_bells": "Carillon tubulaire",
+  "marimba": "Marimba",
+  "mallet_percussion": "Maillet de percussion",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibraphone",
+  "steelpan": "Pan",
+  "orchestra": "Orchestre",
+  "brass_instrument": "Cuivres",
+  "french_horn": "Cor français",
+  "trumpet": "Trompette",
+  "bowed_string_instrument": "Instrument à cordes frottées",
+  "string_section": "Section des cordes",
+  "violin": "Violon",
+  "pizzicato": "Pizzicato",
+  "cello": "Violoncelle",
+  "double_bass": "Contrebasse",
+  "wind_instrument": "Instrument à vent",
+  "flute": "Flûte",
+  "saxophone": "Saxophone",
+  "clarinet": "Clarinette",
+  "harp": "Harpe",
+  "church_bell": "Cloche d'église",
+  "bell": "Cloche",
+  "jingle_bell": "Grelot",
+  "bicycle_bell": "Sonnette de vélo",
+  "tuning_fork": "Diapason",
+  "chime": "Carillon",
+  "wind_chime": "Carillon à vent",
+  "harmonica": "Harmonica",
+  "accordion": "Accordéon",
+  "bagpipes": "Cornemuse",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Thérémine",
+  "singing_bowl": "Bol chantant",
+  "scratching": "Scratch",
+  "pop_music": "Musique pop",
+  "hip_hop_music": "Musique hip-hop",
+  "beatboxing": "Beatboxing",
+  "rock_music": "Musique rock",
+  "punk_rock": "Punk Rock",
+  "soul_music": "Musique Soul",
+  "reggae": "Reggae",
+  "country": "Country",
+  "funk": "Funk",
+  "folk_music": "Musique Folk",
+  "jazz": "Jazz",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "traditional_music": "Musique traditionnelle",
+  "independent_music": "Musique indépendante",
+  "song": "Chanson",
+  "background_music": "Musique de fond",
+  "theme_music": "Thème musical",
+  "jingle": "Tintement",
+  "soundtrack_music": "Musique de bande originale",
+  "lullaby": "Berceuse",
+  "video_game_music": "Musique de jeux vidéo",
+  "dance_music": "Musique Dance",
+  "wedding_music": "Musique de mariage",
+  "happy_music": "Musique joyeuse",
+  "sad_music": "Musique triste",
+  "tender_music": "Musique tendre",
+  "exciting_music": "Musique stimulante",
+  "angry_music": "Musique énervée",
+  "scary_music": "Musique effrayante",
+  "wind": "Vent",
+  "rustling_leaves": "Bruissements de feuilles",
+  "wind_noise": "Bruit de vent",
+  "thunderstorm": "Orage",
+  "thunder": "Tonnerre",
+  "water": "Eau",
+  "rain": "Pluie",
+  "raindrop": "Goutte de pluie",
+  "rain_on_surface": "Pluie sur une surface",
+  "stream": "Flux",
+  "waterfall": "Cascade",
+  "ocean": "Océan",
+  "waves": "Vagues",
+  "steam": "Vapeur",
+  "gurgling": "Gargouillis",
+  "fire": "Feu",
+  "crackle": "Crépitement",
+  "sailboat": "Voilier",
+  "rowboat": "Chaloupe",
+  "motorboat": "Bateau à moteur",
+  "ship": "Bateau",
+  "motor_vehicle": "Véhicule à moteur",
+  "toot": "Sifflotement",
+  "car_alarm": "Alarme de voiture",
+  "power_windows": "Vitres électriques",
+  "skidding": "Dérapage",
+  "tire_squeal": "Crissements de pneu",
+  "car_passing_by": "Passage de voiture",
+  "race_car": "Course de voitures",
+  "air_brake": "Frein pneumatique",
+  "air_horn": "Klaxon à air",
+  "reversing_beeps": "Bips de marche arrière",
+  "ice_cream_truck": "Camion de glaces",
+  "fire_engine": "Camion de pompiers",
+  "traffic_noise": "Bruit de circulation",
+  "rail_transport": "Transport ferroviaire",
+  "train_whistle": "Sifflet de train",
+  "train_horn": "Klaxon de train",
+  "railroad_car": "Wagon de chemin de fer",
+  "train_wheels_squealing": "Crissements de roues de train",
+  "aircraft": "Aéronef",
+  "aircraft_engine": "Moteur d'avion",
+  "jet_engine": "Moteur à réaction",
+  "propeller": "Hélice",
+  "helicopter": "Hélicoptère",
+  "fixed-wing_aircraft": "Avion à voilure fixe",
+  "engine": "Moteur",
+  "light_engine": "Moteur léger",
+  "dental_drill's_drill": "Fraise dentaire",
+  "lawn_mower": "Tondeuse à gazon",
+  "chainsaw": "Tronçonneuse",
+  "heavy_engine": "Moteur lourd",
+  "engine_knocking": "Détonations de moteur",
+  "engine_starting": "Démarrage de moteur",
+  "accelerating": "Accélération",
+  "doorbell": "Sonnette",
+  "ding-dong": "Ding-Dong",
+  "knock": "Coup",
+  "tap": "Tapotement",
+  "squeak": "Grincement",
+  "cupboard_open_or_close": "Ouverture ou fermeture de placard",
+  "drawer_open_or_close": "Ouverture ou fermeture de tiroir",
+  "dishes": "Plats",
+  "cutlery": "Couverts",
+  "chopping": "Hacher",
+  "frying": "Friture",
+  "microwave_oven": "Four à micro-ondes",
+  "water_tap": "Robinet d'eau",
+  "bathtub": "Baignoire",
+  "toilet_flush": "Chasse d'eau",
+  "electric_toothbrush": "Brosse à dents électrique",
+  "vacuum_cleaner": "Aspirateur",
+  "zipper": "Fermeture éclair",
+  "keys_jangling": "Tintements de clés",
+  "coin": "Pièce de monnaie",
+  "shuffling_cards": "Mélange de cartes",
+  "typing": "Frappe au clavier",
+  "typewriter": "Machine à écrire",
+  "writing": "Écriture",
+  "alarm": "Alarme",
+  "telephone_bell_ringing": "Sonnerie de téléphone",
+  "ringtone": "Sonnerie",
+  "telephone_dialing": "Numérotation téléphonique",
+  "dial_tone": "Tonalité",
+  "busy_signal": "Tonalité occupée",
+  "alarm_clock": "Réveille-matin",
+  "civil_defense_siren": "Sirène d'alerte aux populations",
+  "buzzer": "Buzzer",
+  "tick": "Tic-tac",
+  "tick-tock": "Tic-Tac",
+  "cash_register": "Caisse enregistreuse",
+  "single-lens_reflex_camera": "Appareil photo reflex mono-objectif",
+  "hammer": "Marteau",
+  "jackhammer": "Marteau-piqueur",
+  "sawing": "Sciage",
+  "filing": "Limage",
+  "sanding": "Ponçage",
+  "power_tool": "Outil électrique",
+  "drill": "Perceuse",
+  "explosion": "Explosion",
+  "gunshot": "Coup de feu",
+  "machine_gun": "Mitrailleuse",
+  "fusillade": "Fusillade",
+  "artillery_fire": "Tir d'artillerie",
+  "cap_gun": "Pistolet à amorces",
+  "firecracker": "Pétard",
+  "eruption": "Éruption",
+  "boom": "Boom",
+  "chop": "Coup de hache",
+  "splinter": "Éclat",
+  "crack": "Fissure",
+  "chink": "Fente",
+  "shatter": "Brisure",
+  "silence": "Silence",
+  "environmental_noise": "Bruit ambiant",
+  "static": "Statique",
+  "white_noise": "Bruit blanc",
+  "pink_noise": "Bruit rose",
+  "field_recording": "Enregistrement sur le terrain",
+  "scream": "Cri",
+  "tambourine": "Tambourin",
+  "electronic_music": "Musique électronique",
+  "rock_and_roll": "Rock and Roll",
+  "vocal_music": "Musique vocale",
+  "trombone": "Trombone",
+  "flamenco": "Flamenco",
+  "carnatic_music": "Musique carnatique",
+  "a_capella": "A Capella",
+  "christmas_music": "Musique de Noël",
+  "afrobeat": "Afrobeat",
+  "sliding_door": "Porte coulissante",
+  "opera": "Opéra",
+  "music_of_africa": "Musique d'Afrique",
+  "music_of_latin_america": "Musique d'Amérique Latine",
+  "blues": "Blues",
+  "music_for_children": "Musique pour enfants",
+  "electronica": "Electronica",
+  "ska": "Ska",
+  "salsa_music": "Salsa",
+  "medium_engine": "Moteur moyen",
+  "heavy_metal": "Heavy Metal",
+  "disco": "Disco",
+  "grunge": "Grunge",
+  "music_of_asia": "Musique d'Asie",
+  "progressive_rock": "Rock progressif",
+  "psychedelic_rock": "Rock psychédélique",
+  "rhythm_and_blues": "Rhythm and Blues",
+  "electronic_dance_music": "Electronic Dance Music",
+  "trance_music": "Musique Trance",
+  "new-age_music": "Musique New Age",
+  "bluegrass": "Bluegrass",
+  "swing_music": "Musique Swing",
+  "ambient_music": "Musique d'ambiance",
+  "middle_eastern_music": "Musique orientale",
+  "house_music": "Musique House",
+  "christian_music": "Musique chrétienne",
+  "classical_music": "Musique classique",
+  "gospel_music": "Musique Gospel",
+  "slam": "Claquement",
+  "computer_keyboard": "Clavier d'ordinateur",
+  "burst": "Éclatement",
+  "music_of_bollywood": "Musique de Bollywood",
+  "idling": "Ralenti",
+  "radio": "Radio",
+  "telephone": "Téléphone",
+  "bow_wow": "Ouaf ouaf",
+  "hiss": "Sifflement",
+  "clip_clop": "Clic-clac",
+  "cattle": "Bétail",
+  "moo": "Meuglement",
+  "cowbell": "Clochette",
+  "oink": "Grouin-grouin",
+  "bleat": "Bêler",
+  "fowl": "Volaille",
+  "cluck": "Gloussement",
+  "cock_a_doodle_doo": "Cocorico",
+  "gobble": "Glouglou"
+}
diff --git a/web/public/locales/fr/common.json b/web/public/locales/fr/common.json
new file mode 100644
index 000000000..5ed9f65a9
--- /dev/null
+++ b/web/public/locales/fr/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "untilForRestart": "Jusqu'au redémarrage de Frigate.",
+    "untilRestart": "Jusqu'au redémarrage",
+    "untilForTime": "Jusqu'à {{time}}",
+    "justNow": "À l'instant",
+    "today": "Aujourd'hui",
+    "last7": "7 derniers jours",
+    "last14": "14 derniers jours",
+    "ago": "Il y a {{timeAgo}}",
+    "yesterday": "Hier",
+    "last30": "30 derniers jours",
+    "thisWeek": "Cette semaine",
+    "lastWeek": "La semaine dernière",
+    "thisMonth": "Ce mois-ci",
+    "lastMonth": "Le mois dernier",
+    "10minutes": "10 minutes",
+    "5minutes": "5 minutes",
+    "30minutes": "30 minutes",
+    "12hours": "12 heures",
+    "h": "{{time}} h",
+    "pm": "PM",
+    "am": "AM",
+    "yr": "{{time}} a",
+    "year_one": "{{time}} année",
+    "year_many": "{{time}} années",
+    "year_other": "{{time}} années",
+    "mo": "{{time}} m",
+    "month_one": "{{time}} mois",
+    "month_many": "{{time}} mois",
+    "month_other": "{{time}} mois",
+    "s": "{{time}} s",
+    "second_one": "{{time}} seconde",
+    "second_many": "{{time}} secondes",
+    "second_other": "{{time}} secondes",
+    "m": "{{time}} mn",
+    "hour_one": "{{time}} heure",
+    "hour_many": "{{time}} heures",
+    "hour_other": "{{time}} heures",
+    "24hours": "24 heures",
+    "minute_one": "{{time}} minute",
+    "minute_many": "{{time}} minutes",
+    "minute_other": "{{time}} minutes",
+    "d": "{{time}} j",
+    "day_one": "{{time}} jour",
+    "day_many": "{{time}} jours",
+    "day_other": "{{time}} jours",
+    "1hour": "1 heure",
+    "formattedTimestamp": {
+      "12hour": "d MMM HH:mm:ss",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampWithYear": {
+      "24hour": "%b %-d %Y, %H:%M",
+      "12hour": "%b %-d %Y, %I:%M %p"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%b %-d, %I:%M %p",
+      "24hour": "%b %-d, %H:%M"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM HH:mm:ss",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "24hour": "HH:mm",
+      "12hour": "HH:mm aaa"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-HH-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, HH:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "HH:mm:ss aaa"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, HH:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM,yyyy"
+    }
+  },
+  "button": {
+    "apply": "Appliquer",
+    "reset": "Réinitialiser",
+    "disabled": "Désactivé",
+    "save": "Enregistrer",
+    "saving": "Enregistrement…",
+    "close": "Fermer",
+    "copy": "Copier",
+    "back": "Retour",
+    "history": "Historique",
+    "pictureInPicture": "Image en incrustation",
+    "twoWayTalk": "Conversation bidirectionnelle",
+    "off": "Inactif",
+    "edit": "Editer",
+    "copyCoordinates": "Copier les coordonnées",
+    "delete": "Supprimer",
+    "yes": "Oui",
+    "no": "Non",
+    "unsuspended": "Reprendre",
+    "play": "Lire",
+    "unselect": "Désélectionner",
+    "suspended": "Suspendu",
+    "enable": "Activer",
+    "enabled": "Activé",
+    "info": "Info",
+    "disable": "Désactiver",
+    "cancel": "Annuler",
+    "fullscreen": "Plein écran",
+    "next": "Suivant",
+    "exitFullscreen": "Sortir du mode plein écran",
+    "cameraAudio": "Son de la caméra",
+    "on": "Actif",
+    "export": "Exporter",
+    "deleteNow": "Supprimer maintenant",
+    "download": "Télécharger",
+    "done": "Terminé"
+  },
+  "menu": {
+    "configuration": "Configuration",
+    "language": {
+      "en": "English (Anglais)",
+      "withSystem": {
+        "label": "Utiliser les paramètres système pour la langue"
+      },
+      "zhCN": "简体中文 (Chinois simplifié)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Français)",
+      "ja": "日本語 (Japonais)",
+      "tr": "Türkçe (Turc)",
+      "it": "Italiano (Italien)",
+      "nl": "Nederlands (Néerlandais)",
+      "sv": "Svenska (Suédois)",
+      "cs": "Čeština (Tchèque)",
+      "nb": "Norsk Bokmål (Bokmål Norvégien)",
+      "ko": "한국어 (Coréen)",
+      "fa": "فارسی (Perse)",
+      "pl": "Polski (Polonais)",
+      "el": "Ελληνικά (Grec)",
+      "ro": "Română (Roumain)",
+      "hu": "Magyar (Hongrois)",
+      "he": "עברית (Hebreu)",
+      "ru": "Русский (Russe)",
+      "de": "Deutsch (Allemand)",
+      "es": "Español (Espagnol)",
+      "ar": "العربية (Arabe)",
+      "da": "Dansk (Danois)",
+      "fi": "Suomi (Finlandais)",
+      "pt": "Português (Portugais)",
+      "sk": "Slovenčina (Slovaque)",
+      "uk": "Українська (Ukrainien)",
+      "vi": "Tiếng Việt (Vietnamien)",
+      "yue": "粵語 (Cantonais)",
+      "th": "ไทย (Thai)",
+      "ca": "Català (Catalan)"
+    },
+    "appearance": "Apparence",
+    "darkMode": {
+      "light": "Clair",
+      "dark": "Sombre",
+      "withSystem": {
+        "label": "Utiliser les paramètres système pour le mode clair ou sombre"
+      },
+      "label": "Mode sombre"
+    },
+    "review": "Revue d'événements",
+    "explore": "Explorer",
+    "export": "Exporter",
+    "user": {
+      "account": "Compte",
+      "logout": "Se déconnecter",
+      "setPassword": "Configurer un mot de passe",
+      "current": "Utilisateur actuel : {{user}}",
+      "title": "Utilisateur",
+      "anonymous": "anonyme"
+    },
+    "systemLogs": "Journaux système",
+    "documentation": {
+      "title": "Documentation",
+      "label": "Documentation de Frigate"
+    },
+    "system": "Système",
+    "help": "Aide",
+    "configurationEditor": "Editeur de configuration",
+    "theme": {
+      "contrast": "Contraste élevé",
+      "blue": "Bleu",
+      "green": "Vert",
+      "nord": "Nord",
+      "red": "Rouge",
+      "default": "Défaut",
+      "label": "Thème",
+      "highcontrast": "Contraste élevé"
+    },
+    "systemMetrics": "Indicateurs systèmes",
+    "settings": "Paramètres",
+    "withSystem": "Système",
+    "restart": "Redémarrer Frigate",
+    "live": {
+      "cameras": {
+        "count_one": "{{count}} caméra",
+        "count_many": "{{count}} caméras",
+        "count_other": "{{count}} caméras",
+        "title": "Caméras"
+      },
+      "allCameras": "Toutes les caméras",
+      "title": "Direct"
+    },
+    "uiPlayground": "Gestion de l'interface",
+    "faceLibrary": "Bibliothèque de visages",
+    "languages": "Langues"
+  },
+  "toast": {
+    "save": {
+      "title": "Enregistrer",
+      "error": {
+        "noMessage": "Echec lors de l'enregistrement des changements de configuration",
+        "title": "Echec lors de l'enregistrement des changements de configuration : {{errorMessage}}"
+      }
+    },
+    "copyUrlToClipboard": "Lien copié dans le presse-papier."
+  },
+  "role": {
+    "title": "Rôle",
+    "viewer": "Observateur",
+    "admin": "Administrateur",
+    "desc": "Les administrateurs accèdent à l'ensemble des fonctionnalités de l'interface Frigate. Les observateurs sont limités à la consultation des caméras, de la revue d'événements, et à l'historique des enregistrements dans l'interface utilisateur."
+  },
+  "pagination": {
+    "next": {
+      "title": "Suivant",
+      "label": "Aller à la page suivante"
+    },
+    "more": "Plus de pages",
+    "previous": {
+      "label": "Aller à la page précédente",
+      "title": "Précédent"
+    },
+    "label": "pagination"
+  },
+  "notFound": {
+    "title": "404",
+    "documentTitle": "Non trouvé - Frigate",
+    "desc": "Page non trouvée"
+  },
+  "selectItem": "Sélectionner {{item}}",
+  "accessDenied": {
+    "title": "Accès refusé",
+    "documentTitle": "Accès refusé - Frigate",
+    "desc": "Vous n'avez pas l'autorisation de voir cette page."
+  },
+  "label": {
+    "back": "Retour"
+  },
+  "unit": {
+    "speed": {
+      "kph": "km/h",
+      "mph": "mph"
+    },
+    "length": {
+      "feet": "pieds",
+      "meters": "mètres"
+    }
+  }
+}
diff --git a/web/public/locales/fr/components/auth.json b/web/public/locales/fr/components/auth.json
new file mode 100644
index 000000000..65e26691b
--- /dev/null
+++ b/web/public/locales/fr/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "Mot de passe",
+    "login": "Identifiant",
+    "user": "Nom d'utilisateur",
+    "errors": {
+      "unknownError": "Erreur inconnue. Vérifiez les journaux.",
+      "webUnknownError": "Erreur inconnue. Vérifiez les journaux de la console.",
+      "passwordRequired": "Un mot de passe est requis",
+      "loginFailed": "Échec de l'authentification",
+      "usernameRequired": "Un nom d'utilisateur est requis",
+      "rateLimit": "Nombre d'essais dépassé. Réessayez plus tard."
+    }
+  }
+}
diff --git a/web/public/locales/fr/components/camera.json b/web/public/locales/fr/components/camera.json
new file mode 100644
index 000000000..582b211b5
--- /dev/null
+++ b/web/public/locales/fr/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "edit": "Éditer le groupe de caméras",
+    "label": "Groupe de caméras",
+    "add": "Ajouter un groupe de caméras",
+    "delete": {
+      "label": "Supprimer le groupe de caméras",
+      "confirm": {
+        "title": "Confirmer la suppression",
+        "desc": "Êtes-vous sûr de vouloir supprimer le groupe de caméras <em>{{name}}</em> ?"
+      }
+    },
+    "name": {
+      "placeholder": "Saisissez un nom…",
+      "label": "Nom",
+      "errorMessage": {
+        "mustLeastCharacters": "Le nom du groupe de caméras doit comporter au moins 2 caractères.",
+        "exists": "Le nom du groupe de caméras existe déjà.",
+        "nameMustNotPeriod": "Le nom de groupe de caméras ne doit pas contenir de période.",
+        "invalid": "Nom de groupe de caméras invalide."
+      }
+    },
+    "cameras": {
+      "label": "Caméras",
+      "desc": "Sélectionner les caméras pour ce groupe."
+    },
+    "success": "Le groupe de caméras ({{name}}) a été enregistré.",
+    "icon": "Icône",
+    "camera": {
+      "setting": {
+        "label": "Paramètres de flux de caméra",
+        "title": "Paramètres de flux de {{cameraName}}",
+        "audioIsUnavailable": "L'audio n'est pas disponible pour ce flux",
+        "audioIsAvailable": "L'audio est disponible pour ce flux",
+        "desc": "Modifie les options du flux temps réel pour le tableau de bord de ce groupe de caméras. <em>Ces paramètres sont spécifiques à un périphérique et/ou navigateur.</em>",
+        "audio": {
+          "tips": {
+            "document": "Lire la documentation ",
+            "title": "L'audio doit provenir de la caméra et être configuré dans go2rtc pour ce flux."
+          }
+        },
+        "streamMethod": {
+          "label": "Méthode de streaming",
+          "method": {
+            "noStreaming": {
+              "label": "Pas de diffusion",
+              "desc": "Les images provenant de la caméra ne seront mises à jour qu'une fois par minute et il n'y aura pas de diffusion en direct."
+            },
+            "smartStreaming": {
+              "label": "Diffusion intelligente (recommandé)",
+              "desc": "La diffusion intelligente mettra à jour les images de la caméra une fois par minute lorsqu'aucune activité n'est détectée afin de conserver la bande-passante et les ressources. Quand une activité est détectée, le flux bascule automatiquement en diffusion temps réel."
+            },
+            "continuousStreaming": {
+              "label": "Diffusion en continu",
+              "desc": {
+                "title": "L'image de la caméra sera toujours un flux temps réel lorsqu'elle est visible dans le tableau de bord, même si aucune activité n'est détectée.",
+                "warning": "La diffusion en continu peut engendrer une bande-passante élevée et des problèmes de performance. A utiliser avec précaution."
+              }
+            }
+          },
+          "placeholder": "Choisissez une méthode de diffusion"
+        },
+        "compatibilityMode": {
+          "label": "Mode de compatibilité",
+          "desc": "Activer cette option uniquement si votre flux temps réel affiche des erreurs chromatiques et a une ligne diagonale sur le côté droit de l'image."
+        },
+        "stream": "Flux",
+        "placeholder": "Choisissez un flux"
+      }
+    }
+  },
+  "debug": {
+    "timestamp": "Horodatage",
+    "motion": "Mouvement",
+    "mask": "Masque",
+    "options": {
+      "showOptions": "Afficher les options",
+      "title": "Options",
+      "label": "Paramètres",
+      "hideOptions": "Masquer les options"
+    },
+    "boundingBox": "Boîte de délimitation",
+    "zones": "Zones",
+    "regions": "Régions"
+  }
+}
diff --git a/web/public/locales/fr/components/dialog.json b/web/public/locales/fr/components/dialog.json
new file mode 100644
index 000000000..d92e3ff72
--- /dev/null
+++ b/web/public/locales/fr/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "title": "Êtes-vous sûr de vouloir redémarrer Frigate ?",
+    "restarting": {
+      "title": "Frigate redémarre",
+      "content": "Actualisation de la page dans {{countdown}} secondes.",
+      "button": "Forcer l'actualisation maintenant"
+    },
+    "button": "Redémarrer"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Soumettre à Frigate+",
+        "desc": "Les objets situés dans des zones à ignorer ne doivent pas être signalés comme de faux positifs, car cela nuirait à la précision du modèle."
+      },
+      "review": {
+        "true": {
+          "label": "Confirmez cette étiquette pour Frigate Plus",
+          "true_one": "C'est un {{label}}",
+          "true_many": "Ce sont des {{label}}",
+          "true_other": "Ce sont des {{label}}"
+        },
+        "false": {
+          "false_one": "Ceci n'est pas un {{label}}",
+          "false_many": "Ceux-ci ne sont pas des {{label}}",
+          "false_other": "Ceux-ci ne sont pas des {{label}}",
+          "label": "Ne pas confirmer cette étiquette pour Frigate Plus"
+        },
+        "state": {
+          "submitted": "Soumis"
+        },
+        "question": {
+          "label": "Confirmez ce libellé pour Frigate+",
+          "ask_an": "Est-ce que cet objet est un(e) <code>{{label}}</code> ?",
+          "ask_a": "Est-ce que cet objet est un(e) <code>{{label}}</code> ?",
+          "ask_full": "Est-ce-que cet objet est un(e) <code>{{translatedLabel}}</code>  ?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Afficher dans la chronologie"
+    }
+  },
+  "export": {
+    "time": {
+      "custom": "Personnalisé",
+      "fromTimeline": "Sélectionner depuis la chronologie",
+      "lastHour_one": "Dernière heure",
+      "lastHour_many": "{{count}} dernières heures",
+      "lastHour_other": "{{count}} dernières heures",
+      "end": {
+        "label": "Sélectionner une heure de fin",
+        "title": "Heure de fin"
+      },
+      "start": {
+        "label": "Sélectionner une heure de début",
+        "title": "Heure de début"
+      }
+    },
+    "selectOrExport": "Sélectionner ou exporter",
+    "toast": {
+      "error": {
+        "failed": "Échec du démarrage de l'export : {{error}}",
+        "endTimeMustAfterStartTime": "L'heure de fin doit être postérieure à l'heure de début",
+        "noVaildTimeSelected": "La plage horaire sélectionnée n'est pas valide"
+      },
+      "success": "Exportation démarrée avec succès. Consultez le fichier dans le dossier /exports."
+    },
+    "select": "Sélectionner",
+    "name": {
+      "placeholder": "Nommer l'export"
+    },
+    "export": "Exporter",
+    "fromTimeline": {
+      "saveExport": "Enregistrer l'export",
+      "previewExport": "Prévisualiser l'export"
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "desc": "Donnez un nom à cette recherche enregistrée.",
+      "label": "Enregistrer la recherche",
+      "success": "La recherche ({{searchName}}) a été enregistrée.",
+      "button": {
+        "save": {
+          "label": "Enregistrer cette recherche"
+        }
+      },
+      "overwrite": "{{searchName}} existe déjà. L'enregistrement écrasera la recherche existante.",
+      "placeholder": "Saisissez un nom pour votre recherche"
+    }
+  },
+  "streaming": {
+    "label": "Flux",
+    "restreaming": {
+      "disabled": "La rediffusion n'est pas activée pour cette caméra.",
+      "desc": {
+        "readTheDocumentation": "Lire la documentation",
+        "title": "Configurez go2rtc pour bénéficier d'options de visualisation en direct supplémentaires et de l'audio pour cette caméra."
+      }
+    },
+    "showStats": {
+      "label": "Afficher les statistiques du flux",
+      "desc": "Activez cette option pour montrer les statistiques de diffusion en incrustation sur le flux vidéo de la caméra."
+    },
+    "debugView": "Affichage de débogage"
+  },
+  "recording": {
+    "confirmDelete": {
+      "desc": {
+        "selected": "Êtes-vous sûr(e) de vouloir supprimer toutes les vidéos enregistrées associées à cet élément de la revue d'événements ? <br /><br />Maintenez la touche <em>Maj</em> enfoncée pour éviter cette boîte de dialogue à l'avenir."
+      },
+      "title": "Confirmer la suppression",
+      "toast": {
+        "success": "Les vidéos associées aux éléments de revue d'événements sélectionnés ont été supprimées.",
+        "error": "Échec de la suppression : {{error}}"
+      }
+    },
+    "button": {
+      "export": "Exporter",
+      "markAsReviewed": "Marquer comme passé en revue",
+      "deleteNow": "Supprimer maintenant"
+    }
+  }
+}
diff --git a/web/public/locales/fr/components/filter.json b/web/public/locales/fr/components/filter.json
new file mode 100644
index 000000000..567cf81f5
--- /dev/null
+++ b/web/public/locales/fr/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "labels": {
+    "label": "Libellés",
+    "all": {
+      "title": "Tous les libellés",
+      "short": "Libellés"
+    },
+    "count": "{{count}} Étiquettes",
+    "count_one": "{{count}} libellé",
+    "count_other": "{{count}} libellés"
+  },
+  "filter": "Filtre",
+  "zones": {
+    "label": "Zones",
+    "all": {
+      "title": "Toutes les zones",
+      "short": "Zones"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Toutes les dates",
+      "short": "Dates"
+    },
+    "selectPreset": "Sélectionnez un préréglage…"
+  },
+  "more": "Plus de filtres",
+  "reset": {
+    "label": "Réinitialiser les filtres aux valeurs par défaut"
+  },
+  "timeRange": "Plage de temps",
+  "subLabels": {
+    "label": "Sous-libellés",
+    "all": "Tous les sous-libellés"
+  },
+  "score": "Score",
+  "estimatedSpeed": "Vitesse estimée ({{unit}})",
+  "sort": {
+    "label": "Tri",
+    "dateDesc": "Date (ordre chronologique inverse)",
+    "dateAsc": "Date (ordre chronologique)",
+    "scoreDesc": "Score d'objet (décroissant)",
+    "scoreAsc": "Score d'objet (croissant)",
+    "speedAsc": "Vitesse estimée (croissant)",
+    "speedDesc": "Vitesse estimée (décroissant)",
+    "relevance": "Pertinence"
+  },
+  "features": {
+    "submittedToFrigatePlus": {
+      "tips": "Vous devez d'abord filtrer les objets suivis qui ont un instantané.<br /><br />Les objets suivis sans instantané ne peuvent pas être soumis à Frigate+.",
+      "label": "Soumis à Frigate+"
+    },
+    "hasVideoClip": "A un clip vidéo",
+    "hasSnapshot": "A un instantané",
+    "label": "Fonctionnalités"
+  },
+  "explore": {
+    "settings": {
+      "title": "Paramètres",
+      "defaultView": {
+        "title": "Vue par défaut",
+        "summary": "Résumé",
+        "unfilteredGrid": "Grille non filtrée",
+        "desc": "Lorsqu'aucun filtre n'est sélectionné, affiche un résumé des objets suivis les plus récents par libellé, ou affiche une grille non filtrée."
+      },
+      "gridColumns": {
+        "desc": "Sélectionner le nombre de colonnes dans la vue grille.",
+        "title": "Colonnes de la grille"
+      },
+      "searchSource": {
+        "label": "Source de recherche",
+        "options": {
+          "thumbnailImage": "Image de miniature",
+          "description": "Description"
+        },
+        "desc": "Choisissez si vous souhaitez rechercher les miniatures ou les descriptions de vos objets suivis."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Sélectionner une date pour filtrer"
+      }
+    }
+  },
+  "review": {
+    "showReviewed": "Montrer les éléments passés en revue"
+  },
+  "cameras": {
+    "label": "Filtre des caméras",
+    "all": {
+      "short": "Caméras",
+      "title": "Toutes les caméras"
+    }
+  },
+  "motion": {
+    "showMotionOnly": "Afficher uniquement le mouvement"
+  },
+  "logSettings": {
+    "filterBySeverity": "Filtrer les journaux par gravité",
+    "loading": {
+      "title": "Chargement",
+      "desc": "Lorsque le volet de journalisation est défilé jusqu'en bas, les nouveaux enregistrements s'affichent automatiquement au fur et à mesure qu'ils sont ajoutés."
+    },
+    "label": "Niveau de journalisation du filtre",
+    "disableLogStreaming": "Désactiver la diffusion des journaux",
+    "allLogs": "Tous les journaux"
+  },
+  "recognizedLicensePlates": {
+    "placeholder": "Tapez pour rechercher des plaques d'immatriculation…",
+    "noLicensePlatesFound": "Aucune plaque d'immatriculation trouvée.",
+    "loading": "Chargement des plaques d'immatriculation reconnues…",
+    "title": "Plaques d'immatriculation reconnues",
+    "loadFailed": "Échec du chargement des plaques d'immatriculation reconnues.",
+    "selectPlatesFromList": "Sélectionner une ou plusieurs plaques d'immatriculation dans la liste."
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmer la suppression",
+    "toast": {
+      "success": "Les objets suivis ont été supprimés avec succès.",
+      "error": "Échec de la suppression des objets suivis : {{errorMessage}}"
+    },
+    "desc": "Supprimer ces objets suivis {{objectLength}} retirera l'instantané, les représentations numériques enregistrées et les entrées du cycle de vie de l'objet associées. Les séquences enregistrées de ces objets suivis dans la vue Historique <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Voulez-vous vraiment continuer ?<br /><br />Maintenez la touche <em>Maj</em> enfoncée pour ignorer cette boîte de dialogue à l'avenir."
+  },
+  "zoneMask": {
+    "filterBy": "Filtrer par masque de zone"
+  }
+}
diff --git a/web/public/locales/fr/components/icons.json b/web/public/locales/fr/components/icons.json
new file mode 100644
index 000000000..f713f2f52
--- /dev/null
+++ b/web/public/locales/fr/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "Rechercher une icône…"
+    },
+    "selectIcon": "Sélectionnez une icône"
+  }
+}
diff --git a/web/public/locales/fr/components/input.json b/web/public/locales/fr/components/input.json
new file mode 100644
index 000000000..36874788e
--- /dev/null
+++ b/web/public/locales/fr/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Télécharger la vidéo",
+      "toast": {
+        "success": "Le téléchargement de la vidéo de votre élément de la revue d'événements a commencé."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/fr/components/player.json b/web/public/locales/fr/components/player.json
new file mode 100644
index 000000000..7dd7346e5
--- /dev/null
+++ b/web/public/locales/fr/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Aucun enregistrement trouvé pour cette période",
+  "noPreviewFoundFor": "Aucun aperçu trouvé pour {{cameraName}}",
+  "noPreviewFound": "Aucun aperçu trouvé",
+  "submitFrigatePlus": {
+    "title": "Soumettre cette image à Frigate+ ?",
+    "submit": "Soumettre"
+  },
+  "streamOffline": {
+    "title": "Flux hors ligne",
+    "desc": "Aucune image n'a été reçue sur le flux de <code>détection</code> de la caméra {{cameraName}}. Vérifiez le journal d'erreurs."
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ou une version supérieure est requis pour ce type de flux en direct.",
+  "cameraDisabled": "La caméra est désactivée",
+  "stats": {
+    "streamType": {
+      "title": "Type de flux :",
+      "short": "Type"
+    },
+    "bandwidth": {
+      "title": "Bande passante :",
+      "short": "Bande passante"
+    },
+    "latency": {
+      "title": "Latence :",
+      "value": "{{seconds}} secondes",
+      "short": {
+        "title": "Latence",
+        "value": "{{seconds}} s"
+      }
+    },
+    "droppedFrames": {
+      "short": {
+        "value": "{{droppedFrames}} images",
+        "title": "Perdues"
+      },
+      "title": "Images perdues :"
+    },
+    "decodedFrames": "Images décodées :",
+    "droppedFrameRate": "Proportion d'images perdues :",
+    "totalFrames": "Total images :"
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Échec de la soumission de l'image à Frigate+"
+    },
+    "success": {
+      "submittedFrigatePlus": "Image soumise avec succès à Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/fr/objects.json b/web/public/locales/fr/objects.json
new file mode 100644
index 000000000..d959a8e42
--- /dev/null
+++ b/web/public/locales/fr/objects.json
@@ -0,0 +1,120 @@
+{
+  "bicycle": "Vélo",
+  "car": "Voiture",
+  "person": "Personne",
+  "motorcycle": "Moto",
+  "airplane": "Avion",
+  "bus": "Bus",
+  "train": "Train",
+  "boat": "Bateau",
+  "traffic_light": "Feu de circulation",
+  "fire_hydrant": "Bouche d'incendie",
+  "street_sign": "Plaque de rue",
+  "parking_meter": "Parcmètre",
+  "bench": "Banc",
+  "bird": "Oiseau",
+  "cat": "chat",
+  "stop_sign": "Panneau de stop",
+  "dog": "Chien",
+  "horse": "Cheval",
+  "sheep": "Mouton",
+  "cow": "Vache",
+  "elephant": "Eléphant",
+  "bear": "Ours",
+  "zebra": "Zèbre",
+  "hat": "Chapeau",
+  "tie": "Cravate",
+  "suitcase": "Valise",
+  "frisbee": "Frisbee",
+  "skis": "Skis",
+  "snowboard": "Surf des neiges",
+  "sports_ball": "Ballon des sports",
+  "kite": "Cerf-volant",
+  "baseball_bat": "Batte de base-ball",
+  "umbrella": "Parapluie",
+  "giraffe": "Girafe",
+  "eye_glasses": "Lunettes",
+  "backpack": "Sac à dos",
+  "handbag": "Sac à main",
+  "shoe": "Chaussure",
+  "clock": "Horloge",
+  "bottle": "Bouteille",
+  "baseball_glove": "Gant de baseball",
+  "skateboard": "Skateboard",
+  "surfboard": "Planche de surf",
+  "tennis_racket": "Raquette de Tennis",
+  "plate": "Assiette",
+  "cup": "Tasse",
+  "banana": "Banane",
+  "apple": "Pomme",
+  "wine_glass": "Verre à vin",
+  "pizza": "Pizza",
+  "couch": "Canapé",
+  "potted_plant": "Plante en pot",
+  "mirror": "Miroir",
+  "window": "Fenêtre",
+  "desk": "Bureau",
+  "door": "Porte",
+  "remote": "Télécommande",
+  "keyboard": "Clavier",
+  "mouse": "Souris",
+  "tv": "TV",
+  "laptop": "Ordinateur portable",
+  "toaster": "Grille-pain",
+  "book": "Livre",
+  "teddy_bear": "Ours en peluche",
+  "blender": "Mixer",
+  "toothbrush": "Brosse à dents",
+  "hair_brush": "Brosse à cheveux",
+  "vehicle": "Véhicule",
+  "fox": "Renard",
+  "deer": "Cerf",
+  "animal": "Animal",
+  "goat": "Chèvre",
+  "rabbit": "Lapin",
+  "raccoon": "Raton laveur",
+  "waste_bin": "Poubelle",
+  "robot_lawnmower": "Robot tondeuse",
+  "on_demand": "Sur demande",
+  "face": "Visage",
+  "license_plate": "Plaque d'immatriculation",
+  "bbq_grill": "Barbecue",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "package": "Colis",
+  "an_post": "An Post",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "postnl": "PostNL",
+  "amazon": "Amazon",
+  "hot_dog": "Hot Dog",
+  "refrigerator": "Réfrigérateur",
+  "bark": "Aboiement",
+  "oven": "Four",
+  "scissors": "Paire de ciseaux",
+  "toilet": "Toilettes",
+  "carrot": "Carotte",
+  "bed": "Lit",
+  "cell_phone": "Téléphone portable",
+  "fork": "Fourchette",
+  "squirrel": "Écureuil",
+  "microwave": "Micro-ondes",
+  "hair_dryer": "Sèche cheveux",
+  "bowl": "Bol",
+  "spoon": "Cuillère",
+  "sandwich": "Sandwich",
+  "sink": "Lavabo",
+  "broccoli": "Brocoli",
+  "knife": "Couteau",
+  "nzpost": "NZPost",
+  "orange": "Orange",
+  "chair": "Chaise",
+  "donut": "Donut",
+  "usps": "USPS",
+  "cake": "Gâteau",
+  "dining_table": "Table à manger",
+  "vase": "Vase",
+  "purolator": "Purolator",
+  "postnord": "PostNord"
+}
diff --git a/web/public/locales/fr/views/configEditor.json b/web/public/locales/fr/views/configEditor.json
new file mode 100644
index 000000000..5f88fb94f
--- /dev/null
+++ b/web/public/locales/fr/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Éditeur de configuration",
+  "documentTitle": "Éditeur de configuration - Frigate",
+  "copyConfig": "Copier la configuration",
+  "saveOnly": "Enregistrer seulement",
+  "saveAndRestart": "Enregistrer et redémarrer",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configuration copiée dans le presse-papiers"
+    },
+    "error": {
+      "savingError": "Erreur lors de l'enregistrement de la configuration"
+    }
+  },
+  "confirm": "Quitter sans enregistrer ?"
+}
diff --git a/web/public/locales/fr/views/events.json b/web/public/locales/fr/views/events.json
new file mode 100644
index 000000000..d8d58332c
--- /dev/null
+++ b/web/public/locales/fr/views/events.json
@@ -0,0 +1,39 @@
+{
+  "detections": "Détections",
+  "motion": {
+    "label": "Mouvement",
+    "only": "Mouvement seulement"
+  },
+  "alerts": "Alertes",
+  "allCameras": "Toutes les caméras",
+  "empty": {
+    "alert": "Il n'y a aucune alerte à passer en revue",
+    "detection": "Il n'y a aucune détection à passer en revue",
+    "motion": "Aucune donnée de mouvement trouvée"
+  },
+  "timeline": "Chronologie",
+  "events": {
+    "label": "Événements",
+    "aria": "Sélectionner les événements",
+    "noFoundForTimePeriod": "Aucun événement trouvé pour cette plage de temps."
+  },
+  "documentTitle": "Revue d'événements -Frigate",
+  "recordings": {
+    "documentTitle": "Enregistrements - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Dernières 24 heures"
+  },
+  "timeline.aria": "Sélectionner une chronologie",
+  "markAsReviewed": "Marqué comme passé en revue",
+  "newReviewItems": {
+    "button": "Nouveaux éléments à passer en revue",
+    "label": "Afficher les nouveaux éléments de la revue d'événements"
+  },
+  "camera": "Caméra",
+  "markTheseItemsAsReviewed": "Marquer ces éléments comme passés en revue",
+  "selected": "{{count}} sélectionné(s)",
+  "selected_other": "{{count}} sélectionné(s)",
+  "selected_one": "{{count}} sélectionné(s)",
+  "detected": "détecté"
+}
diff --git a/web/public/locales/fr/views/explore.json b/web/public/locales/fr/views/explore.json
new file mode 100644
index 000000000..b42cb5f38
--- /dev/null
+++ b/web/public/locales/fr/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "IA générative",
+  "documentTitle": "Explorer - Frigate",
+  "exploreIsUnavailable": {
+    "title": "L'exploration est indisponible",
+    "embeddingsReindexing": {
+      "estimatedTime": "Temps restant estimé :",
+      "finishingShortly": "Termine bientôt",
+      "context": "L'exploration peut être utilisée une fois la réindexation des représentations numériques des objets suivis terminée.",
+      "startingUp": "Démarrage…",
+      "step": {
+        "thumbnailsEmbedded": "Miniatures intégrées : ",
+        "descriptionsEmbedded": "Descriptions intégrées : ",
+        "trackedObjectsProcessed": "Objets suivis traités : "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate télécharge les modèles de représentations numériques nécessaires pour prendre en charge la fonctionnalité de recherche sémantique. Cette opération peut prendre plusieurs minutes selon la vitesse de votre connexion réseau.",
+      "setup": {
+        "visionModelFeatureExtractor": "Extracteur de caractéristiques de modèle de vision",
+        "textTokenizer": "Tokeniseur de texte",
+        "visionModel": "Modèle de vision",
+        "textModel": "Modèle de texte"
+      },
+      "tips": {
+        "documentation": "Lire la documentation",
+        "context": "Une fois les modèles téléchargés, il est conseillé de réindexer vos objets suivis."
+      },
+      "error": "Une erreur est survenue. Vérifier les journaux Frigate."
+    }
+  },
+  "details": {
+    "timestamp": "Horodatage",
+    "item": {
+      "title": "Détails de l'élément de la revue d'événements",
+      "button": {
+        "share": "Partager cet élément de la revue d'événements",
+        "viewInExplore": "Afficher dans Explorer"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Une nouvelle description a été demandée à {{provider}}. Selon la vitesse de votre fournisseur, la régénération de la nouvelle description peut prendre un certain temps.",
+          "updatedSublabel": "Sous-libellé mis à jour avec succès.",
+          "updatedLPR": "Plaque d'immatriculation mise à jour avec succès."
+        },
+        "error": {
+          "regenerate": "Échec de l'appel de {{provider}} pour une nouvelle description : {{errorMessage}}",
+          "updatedSublabelFailed": "Échec de la mise à jour du sous-libellé : {{errorMessage}}",
+          "updatedLPRFailed": "Échec de la mise à jour de la plaque d'immatriculation : {{errorMessage}}"
+        }
+      },
+      "tips": {
+        "mismatch_one": "{{count}} objet indisponible a été détecté et intégré dans cet élément de la revue d'événements. Cet objet n'a pas été qualifié comme une alerte ou une détection, ou a déjà été nettoyé / supprimé.",
+        "mismatch_many": "{{count}} objets indisponibles ont été détectés et intégrés dans cet élément de la revue d'événements. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
+        "mismatch_other": "{{count}} objets indisponibles ont été détectés et intégrés dans cet élément de la revue d'événements. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
+        "hasMissingObjects": "Ajustez votre configuration si vous souhaitez que Frigate enregistre les objets suivis pour les libellés suivants : <em>{{objects}}</em>"
+      },
+      "desc": "Détails de l'élément de la revue d'événements"
+    },
+    "label": "Libellé",
+    "editSubLabel": {
+      "title": "Modifier le sous-libellé",
+      "desc": "Saisissez un nouveau sous-libellé pour {{label}}",
+      "descNoLabel": "Entrer un nouveau sous-libellé pour cet objet suivi"
+    },
+    "topScore": {
+      "label": "Meilleur score",
+      "info": "Le score le plus élevé est le score médian le plus haut pour l'objet suivi ; il peut donc différer du score affiché sur la miniature du résultat de recherche."
+    },
+    "objects": "Objets",
+    "button": {
+      "regenerate": {
+        "label": "Générer à nouveau la description de l'objet suivi",
+        "title": "Générer à nouveau"
+      },
+      "findSimilar": "Trouver des éléments similaires"
+    },
+    "description": {
+      "label": "Description",
+      "placeholder": "Description de l'objet suivi",
+      "aiTips": "Frigate ne demandera pas de description à votre fournisseur d'IA générative tant que le cycle de vie de l'objet suivi ne sera pas terminé."
+    },
+    "regenerateFromSnapshot": "Générer à nouveau à partir d'un instantané",
+    "regenerateFromThumbnails": "Générer à nouveau à partir des miniatures",
+    "editLPR": {
+      "title": "Modifier la plaque d'immatriculation",
+      "desc": "Saisissez une nouvelle valeur de plaque d'immatriculation pour {{label}}",
+      "descNoLabel": "Saisir une nouvelle valeur de plaque d'immatriculation pour cet objet suivi"
+    },
+    "recognizedLicensePlate": "Plaque d'immatriculation reconnue",
+    "estimatedSpeed": "Vitesse estimée",
+    "zones": "Zones",
+    "expandRegenerationMenu": "Développer le menu de régénération",
+    "camera": "Caméra",
+    "tips": {
+      "descriptionSaved": "Description enregistrée avec succès",
+      "saveDescriptionFailed": "Échec de la mise à jour de la description : {{errorMessage}}"
+    },
+    "snapshotScore": {
+      "label": "Score de l'instantané"
+    }
+  },
+  "type": {
+    "details": "détails",
+    "video": "vidéo",
+    "object_lifecycle": "cycle de vie de l'objet",
+    "snapshot": "instantané"
+  },
+  "objectLifecycle": {
+    "title": "Cycle de vie de l'objet",
+    "noImageFound": "Aucune image trouvée pour cet horodatage",
+    "createObjectMask": "Créer un masque d'objet",
+    "scrollViewTips": "Faites défiler pour voir les moments clés du cycle de vie de cet objet.",
+    "adjustAnnotationSettings": "Ajuster les paramètres d'annotation",
+    "autoTrackingTips": "Les positions des cadres englobants seront imprécises pour les caméras à suivi automatique.",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} détecté",
+      "entered_zone": "{{label}} est entré dans {{zones}}",
+      "stationary": "{{label}} est devenu stationnaire",
+      "attribute": {
+        "other": "{{label}} reconnu comme {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} détecté pour {{label}}"
+      },
+      "gone": "{{label}} parti",
+      "heard": "{{label}} entendu",
+      "external": "{{label}} détecté",
+      "active": "{{label}} est devenu actif",
+      "header": {
+        "zones": "Zones",
+        "area": "Aire",
+        "ratio": "Ratio"
+      }
+    },
+    "annotationSettings": {
+      "title": "Paramètres d'annotation",
+      "showAllZones": {
+        "title": "Montrer toutes les zones",
+        "desc": "Afficher systématiquement les zones sur les images quand des objets y sont entrés"
+      },
+      "offset": {
+        "label": "Décalage de l'annotation",
+        "documentation": "Lire la documentation ",
+        "desc": "Ces données, issues du flux de détection de votre caméra, sont incrustées dans les images du flux d'enregistrement. Cependant, une synchronisation parfaite entre ces deux flux est rarement garantie. Il est donc possible que le cadre englobant et la séquence ne soient pas parfaitement alignés. Pour corriger ce décalage, vous pouvez utiliser le champ <code>annotation_offset</code>.",
+        "millisecondsToOffset": "Décalage des annotations de détection en millisecondes. <em>Par défaut : 0</em>",
+        "tips": "Astuce : Pour mieux comprendre, visualisez un clip où une personne se déplace de gauche à droite. Si le cadre englobant affiché sur la ligne de temps de l'événement se trouve constamment à gauche de la personne, cela signifie que vous devriez réduire la valeur. À l'inverse, si ce même cadre englobant apparaît systématiquement en avance sur la personne qui marche de gauche à droite, alors vous devrez l'augmenter.",
+        "toast": {
+          "success": "Le décalage d'annotation pour {{camera}} a été enregistré dans le fichier de configuration. Redémarrez Frigate pour appliquer vos modifications."
+        }
+      }
+    },
+    "carousel": {
+      "next": "Diapositive suivante",
+      "previous": "Diapositive précédente"
+    },
+    "trackedPoint": "Point de suivi",
+    "count": "{{first}} de {{second}}"
+  },
+  "trackedObjectDetails": "Détails de l'objet suivi",
+  "itemMenu": {
+    "downloadSnapshot": {
+      "label": "Télécharger l'instantané",
+      "aria": "Télécharger l'instantané"
+    },
+    "findSimilar": {
+      "label": "Trouver des éléments similaires",
+      "aria": "Trouver des objets suivis similaires"
+    },
+    "viewObjectLifecycle": {
+      "aria": "Afficher le cycle de vie de l'objet",
+      "label": "Visualiser le cycle de vie de l'objet"
+    },
+    "viewInHistory": {
+      "label": "Afficher dans l'historique",
+      "aria": "Afficher dans l'historique"
+    },
+    "downloadVideo": {
+      "label": "Télécharger la vidéo",
+      "aria": "Télécharger la vidéo"
+    },
+    "submitToPlus": {
+      "label": "Soumettre à Frigate+",
+      "aria": "Soumettre à Frigate+"
+    },
+    "deleteTrackedObject": {
+      "label": "Supprimer cet objet suivi"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirmer la suppression",
+      "desc": "La suppression de cet objet suivi supprime l'instantané, les représentations numériques enregistrées et les entrées du cycle de vie de l'objet associé. Les images enregistrées de cet objet suivi dans la vue Historique <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Êtes-vous sûr de vouloir continuer ?"
+    }
+  },
+  "noTrackedObjects": "Aucun objet suivi trouvé",
+  "fetchingTrackedObjectsFailed": "Erreur lors de la récupération des objets suivis : {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} objet suivi ",
+  "trackedObjectsCount_many": "{{count}} objets suivis ",
+  "trackedObjectsCount_other": "{{count}} objets suivis ",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "L'objet suivi a été supprimé avec succès.",
+        "error": "Échec de la suppression de l'objet suivi : {{errorMessage}}"
+      }
+    },
+    "tooltip": "Correspondance : {{type}} à {{confidence}}%"
+  },
+  "exploreMore": "Explorer plus d'objets {{label}}"
+}
diff --git a/web/public/locales/fr/views/exports.json b/web/public/locales/fr/views/exports.json
new file mode 100644
index 000000000..ff8275a50
--- /dev/null
+++ b/web/public/locales/fr/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exporter - Frigate",
+  "search": "Rechercher",
+  "noExports": "Aucun export trouvé",
+  "deleteExport": "Supprimer l'export",
+  "deleteExport.desc": "Êtes-vous sûr de vouloir supprimer {{exportName}}?",
+  "editExport": {
+    "title": "Renommer l'export",
+    "desc": "Saisissez un nouveau nom pour cet export.",
+    "saveExport": "Enregistrer l'export"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Échec du renommage de l'export : {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/fr/views/faceLibrary.json b/web/public/locales/fr/views/faceLibrary.json
new file mode 100644
index 000000000..fa5de03b2
--- /dev/null
+++ b/web/public/locales/fr/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "description": {
+    "addFace": "Guide pour ajouter une nouvelle collection à la bibliothèque de visages",
+    "placeholder": "Saisissez un nom pour cette collection",
+    "invalidName": "Nom invalide. Les noms ne peuvent contenir que des lettres, des chiffres, des espaces, des apostrophes, des traits de soulignement et des tirets."
+  },
+  "details": {
+    "person": "Personne",
+    "confidence": "Confiance",
+    "face": "Détails du visage",
+    "timestamp": "Horodatage",
+    "faceDesc": "Détails de l'objet suivi qui a généré ce visage",
+    "subLabelScore": "Score de sous-libellé",
+    "scoreInfo": "Le score du sous-libellé correspond au score pondéré de tous les scores de confiance des visages reconnus. Il est donc possible qu'il ne corresponde pas au score affiché sur l'instantané.",
+    "unknown": "Inconnu"
+  },
+  "documentTitle": "Bibliothèque de visages - Frigate",
+  "uploadFaceImage": {
+    "title": "Téléverser l'image du visage",
+    "desc": "Téléversez une image pour rechercher des visages et l'inclure dans {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Créer une collection",
+    "desc": "Créer une nouvelle collection",
+    "new": "Créer un nouveau visage",
+    "nextSteps": "Pour construire une base solide :<li>Utilisez l'onglet Entraîner pour sélectionner et entraîner des images pour chaque personne détectée.</li><li>Privilégiez les images de face pour de meilleurs résultats ; évitez d'utiliser des images d'entraînement où les visages sont capturés de biais.</li></ul>"
+  },
+  "train": {
+    "title": "Entraîner",
+    "aria": "Sélectionner entraîner",
+    "empty": "Il n'y a pas de tentatives récentes de reconnaissance faciale"
+  },
+  "selectFace": "Sélectionner un visage",
+  "button": {
+    "addFace": "Ajouter un visage",
+    "uploadImage": "Téléverser une image",
+    "deleteFaceAttempts": "Supprimer les visages",
+    "reprocessFace": "Retraiter le visage",
+    "renameFace": "Renommer le visage",
+    "deleteFace": "Supprimer le visage"
+  },
+  "selectItem": "Sélectionner {{item}}",
+  "deleteFaceLibrary": {
+    "title": "Supprimer un nom",
+    "desc": "Etes-vous certain de vouloir supprimer la collection {{name}} ? Cette action supprimera définitivement tous les visages associés."
+  },
+  "imageEntry": {
+    "dropActive": "Déposez l'image ici…",
+    "dropInstructions": "Glissez et déposez une image ici, ou cliquez pour sélectionner",
+    "maxSize": "Taille max : {{size}}MB",
+    "validation": {
+      "selectImage": "Veuillez sélectionner un fichier image."
+    }
+  },
+  "readTheDocs": "Lire la documentation",
+  "toast": {
+    "success": {
+      "deletedName_one": "{{count}} visage a été supprimé avec succès.",
+      "deletedName_many": "{{count}} visages ont été supprimés avec succès.",
+      "deletedName_other": "{{count}} visages ont été supprimés avec succès.",
+      "uploadedImage": "Image téléversée avec succès.",
+      "addFaceLibrary": "{{name}} a été ajouté avec succès à la bibliothèque de visages !",
+      "updatedFaceScore": "Score du visage mis à jour avec succès.",
+      "deletedFace_one": "{{count}} visage a été supprimé avec succès.",
+      "deletedFace_many": "{{count}} visages ont été supprimés avec succès.",
+      "deletedFace_other": "{{count}} visages ont été supprimés avec succès.",
+      "trainedFace": "Visage entraîné avec succès.",
+      "renamedFace": "Visage renommé avec succés en {{name}}"
+    },
+    "error": {
+      "uploadingImageFailed": "Échec du téléversement de l'image : {{errorMessage}}",
+      "deleteFaceFailed": "Échec de la suppression : {{errorMessage}}",
+      "trainFailed": "Échec de l'entrainement : {{errorMessage}}",
+      "updateFaceScoreFailed": "Échec de la mise à jour du score du visage : {{errorMessage}}",
+      "addFaceLibraryFailed": "Échec du nommage du visage : {{errorMessage}}",
+      "deleteNameFailed": "Échec de la suppression du nom : {{errorMessage}}",
+      "renameFaceFailed": "Échec du renommage du visage : {{errorMessage}}"
+    }
+  },
+  "trainFaceAs": "Entraîner le visage comme :",
+  "trainFace": "Entraîner un visage",
+  "steps": {
+    "uploadFace": "Téléverser une image de visage",
+    "faceName": "Entrer un nom pour le visage",
+    "nextSteps": "Prochaines étapes",
+    "description": {
+      "uploadFace": "Téléversez une image de {{name}} qui montre son visage de face. L'image n'a pas besoin d'être recadrée pour ne montrer que son visage."
+    }
+  },
+  "renameFace": {
+    "title": "Renommer le visage",
+    "desc": "Saisissez un nouveau nom pour {{name}}"
+  },
+  "collections": "Collections",
+  "deleteFaceAttempts": {
+    "title": "Supprimer les visages",
+    "desc_one": "Êtes-vous sûr de vouloir supprimer {{count}} visage ? Cette action est irréversible.",
+    "desc_many": "Êtes-vous sûr de vouloir supprimer {{count}} visages ? Cette action est irréversible.",
+    "desc_other": "Êtes-vous sûr de vouloir supprimer {{count}} visages ? Cette action est irréversible."
+  },
+  "nofaces": "Pas de visage disponible",
+  "pixels": "{{area}} pixels"
+}
diff --git a/web/public/locales/fr/views/live.json b/web/public/locales/fr/views/live.json
new file mode 100644
index 000000000..8c8603972
--- /dev/null
+++ b/web/public/locales/fr/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Direct - Frigate",
+  "lowBandwidthMode": "Mode faible bande-passante",
+  "documentTitle.withCamera": "{{camera}} - Direct - Frigate",
+  "twoWayTalk": {
+    "disable": "Désactiver la conversation bidirectionnelle",
+    "enable": "Activer la conversation bidirectionnelle"
+  },
+  "cameraAudio": {
+    "disable": "Désactiver le son de la caméra",
+    "enable": "Activer le son de la caméra"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Cliquez dans le cadre pour centrer la caméra",
+        "enable": "Activer le click pour déplacer",
+        "disable": "Désactiver le click pour déplacer"
+      },
+      "left": {
+        "label": "Déplacer la caméra PTZ sur la gauche"
+      },
+      "up": {
+        "label": "Déplacer la caméra PTZ vers le haut"
+      },
+      "right": {
+        "label": "Déplacer la caméra PTZ sur la droite"
+      },
+      "down": {
+        "label": "Déplacer la caméra PTZ vers le bas"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Zoomer avant de la caméra PTZ"
+      },
+      "out": {
+        "label": "Zoom arrière de la caméra PTZ"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Cliquez dans le cadre pour centrer la caméra PTZ"
+      }
+    },
+    "presets": "Paramètres prédéfinis pour les caméras PTZ"
+  },
+  "camera": {
+    "enable": "Activer la caméra",
+    "disable": "Désactiver la caméra"
+  },
+  "detect": {
+    "enable": "Activer la détection",
+    "disable": "Désactiver la détection"
+  },
+  "recording": {
+    "enable": "Activer l'enregistrement",
+    "disable": "Désactiver l'enregistrement"
+  },
+  "snapshots": {
+    "enable": "Activer les instantanés",
+    "disable": "Désactiver les instantanés"
+  },
+  "muteCameras": {
+    "enable": "Couper le son de toutes les caméras",
+    "disable": "Activer le son de toutes les caméras"
+  },
+  "audioDetect": {
+    "enable": "Activer la détection audio",
+    "disable": "Désactiver la détection audio"
+  },
+  "manualRecording": {
+    "playInBackground": {
+      "label": "Jouer en arrière plan",
+      "desc": "Activer cette option pour continuer à streamer lorsque le lecteur est masqué."
+    },
+    "showStats": {
+      "label": "Afficher les statistiques",
+      "desc": "Activer cette option pour afficher les statistiques de flux en surimpression sur le flux de la caméra."
+    },
+    "debugView": "Vue de débogage",
+    "start": "Démarrer l'enregistrement à la demande",
+    "failedToStart": "Echec du démarrage de l'enregistrement à la demande manuel.",
+    "end": "Terminer l'enregistrement à la demande",
+    "ended": "Enregistrement à la demande terminé.",
+    "failedToEnd": "Impossible de terminer l'enregistrement manuel à la demande.",
+    "started": "Enregistrement à la demande démarré.",
+    "recordDisabledTips": "Puisque l'enregistrement est désactivé ou restreint dans la configuration de cette caméra, seul un instantané sera enregistré.",
+    "title": "Enregistrement à la demande",
+    "tips": "Démarrez un événement manuel en fonction des paramètres de conservation d'enregistrement de cette caméra."
+  },
+  "streamingSettings": "Paramètres de streaming",
+  "notifications": "Notifications",
+  "suspend": {
+    "forTime": "Mettre en pause pour : "
+  },
+  "stream": {
+    "audio": {
+      "available": "Audio disponible pour ce flux",
+      "tips": {
+        "documentation": "Lire la documentation ",
+        "title": "L'audio doit être capté par votre caméra et configuré dans go2rtc pour ce flux."
+      },
+      "unavailable": "Audio non disponible pour ce flux"
+    },
+    "twoWayTalk": {
+      "tips": "Votre périphérique doit supporter la fonctionnalité et WebRTC doit être configuré pour supporter la conversation bidirectionnelle.",
+      "tips.documentation": "Lire la documention ",
+      "available": "Conversation bidirectionnelle disponible pour ce flux",
+      "unavailable": "Conversation bidirectionnelle non disponible pour ce flux"
+    },
+    "lowBandwidth": {
+      "tips": "La vue temps réel est en mode faible bande passante à cause d'erreurs de cache ou de flux.",
+      "resetStream": "Réinitialiser le flux"
+    },
+    "playInBackground": {
+      "tips": "Activer cette option pour continuer le streaming lorsque le lecteur est masqué.",
+      "label": "Jouer en arrière plan"
+    },
+    "title": "Flux"
+  },
+  "cameraSettings": {
+    "objectDetection": "Détection d'objets",
+    "recording": "Enregistrement",
+    "snapshots": "Instantanés",
+    "audioDetection": "Détection audio",
+    "autotracking": "Suivi automatique",
+    "cameraEnabled": "Caméra activée",
+    "title": "Paramètres de {{camera}}"
+  },
+  "history": {
+    "label": "Afficher l'historique de capture"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Tous",
+      "motion": "Mouvement",
+      "active_objects": "Objets actifs"
+    },
+    "notAllTips": "Votre configuration de conservation d'enregistrement {{source}} est définie sur <code>mode : {{effectiveRetainMode}}</code>, donc cet enregistrement à la demande ne conservera que les segments avec {{effectiveRetainModeName}}."
+  },
+  "audio": "Audio",
+  "autotracking": {
+    "enable": "Activer le suivi automatique",
+    "disable": "Désactiver le suivi automatique"
+  },
+  "streamStats": {
+    "enable": "Afficher les statistiques du flux",
+    "disable": "Masquer les statistiques du flux"
+  },
+  "editLayout": {
+    "label": "Modifier la mise en page",
+    "group": {
+      "label": "Modifier le groupe de caméras"
+    },
+    "exitEdit": "Quitter l'édition"
+  }
+}
diff --git a/web/public/locales/fr/views/recording.json b/web/public/locales/fr/views/recording.json
new file mode 100644
index 000000000..f04812f4c
--- /dev/null
+++ b/web/public/locales/fr/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Exporter",
+  "calendar": "Calendrier",
+  "filter": "Filtre",
+  "filters": "Filtres",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Pas de période valide sélectionnée",
+      "endTimeMustAfterStartTime": "L'heure de fin doit être après l'heure de début"
+    }
+  }
+}
diff --git a/web/public/locales/fr/views/search.json b/web/public/locales/fr/views/search.json
new file mode 100644
index 000000000..b656ab889
--- /dev/null
+++ b/web/public/locales/fr/views/search.json
@@ -0,0 +1,74 @@
+{
+  "savedSearches": "Recherches enregistrées",
+  "search": "Rechercher",
+  "searchFor": "Chercher {{inputValue}}",
+  "button": {
+    "clear": "Effacer la recherche",
+    "filterInformation": "Filtrer les informations",
+    "filterActive": "Filtres actifs",
+    "save": "Enregistrer la recherche",
+    "delete": "Supprimer la recherche enregistrée"
+  },
+  "trackedObjectId": "ID d'objet suivi",
+  "filter": {
+    "label": {
+      "zones": "Zones",
+      "sub_labels": "Sous-libellés",
+      "search_type": "Type de recherche",
+      "time_range": "Plage de temps",
+      "labels": "Libellés",
+      "cameras": "Caméras",
+      "after": "Après",
+      "before": "Avant",
+      "min_speed": "Vitesse minimum",
+      "max_speed": "Vitesse maximum",
+      "min_score": "Score minimum",
+      "recognized_license_plate": "Plaques d'immatriculation reconnues",
+      "has_clip": "Contient un clip",
+      "has_snapshot": "Contient un instantané",
+      "max_score": "Score maximum"
+    },
+    "searchType": {
+      "thumbnail": "Miniature",
+      "description": "Description"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "La date de début « avant » doit être postérieure à la date « après ».",
+        "afterDatebeEarlierBefore": "La date « après » doit être antérieure à la date « avant ».",
+        "minScoreMustBeLessOrEqualMaxScore": "Le « min_score » doit être inférieur ou égal au « max_score ».",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Le « max_score » doit être supérieur ou égal au « min_score ».",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "La « vitesse_min » doit être inférieure ou égale à la « vitesse_max ».",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "La « vitesse maximale » doit être supérieure ou égale à la « vitesse minimale »."
+      }
+    },
+    "header": {
+      "currentFilterType": "Valeurs du filtre",
+      "activeFilters": "Filtres actifs",
+      "noFilters": "Filtres"
+    },
+    "tips": {
+      "title": "Comment utiliser les filtres de texte",
+      "desc": {
+        "text": "Les filtres vous aident à affiner vos résultats de recherche. Voici comment les utiliser dans le champ de saisie :",
+        "example": "Exemple: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Saisissez un nom de filtre suivi de deux points (par exemple, «cameras:»).</li><li>Sélectionnez une valeur parmi les suggestions ou saisissez la vôtre.</li><li>Utilisez plusieurs filtres en les ajoutant les uns après les autres, en laissant un espace entre eux.</li><li>Les filtres de date (avant: et après:) utilisent le format <em>{{DateFormat}}</em>.</li><li>Le filtre de plage horaire utilise le format <em>{{exampleTime}}</em>.</li><li>Supprimez les filtres en cliquant sur le «x» à côté d'eux.</li></ul>",
+        "step1": "Saisissez un nom de clé de filtre suivi de deux points (par exemple, \"cameras:\").",
+        "step2": "Sélectionnez une valeur pour la suggestion ou saisissez la vôtre.",
+        "step3": "Utilisez plusieurs filtres en les ajoutant les uns après les autres avec un espace entre eux.",
+        "step5": "Le filtre de plage horaire utilise le format {{exampleTime}}.",
+        "step6": "Supprimez les filtres en cliquant sur le ' x' à côté d'eux.",
+        "step4": "Filtres de dates (avant : et après :) utilisez le format {{DateFormat}}.",
+        "exampleLabel": "Exemple :"
+      }
+    }
+  },
+  "similaritySearch": {
+    "title": "Recherche par similarité",
+    "active": "Recherche par similarité activée",
+    "clear": "Effacer la recherche par similarité"
+  },
+  "placeholder": {
+    "search": "Rechercher…"
+  }
+}
diff --git a/web/public/locales/fr/views/settings.json b/web/public/locales/fr/views/settings.json
new file mode 100644
index 000000000..67bd50933
--- /dev/null
+++ b/web/public/locales/fr/views/settings.json
@@ -0,0 +1,687 @@
+{
+  "documentTitle": {
+    "default": "Paramètres - Frigate",
+    "authentication": "Paramètres d'authentification - Frigate",
+    "camera": "Paramètres des caméras - Frigate",
+    "classification": "Paramètres de classification - Frigate",
+    "motionTuner": "Réglages du mouvement - Frigate",
+    "general": "Paramètres généraux - Frigate",
+    "masksAndZones": "Éditeur de masques et de zones - Frigate",
+    "object": "Débogage - Frigate",
+    "frigatePlus": "Paramètres Frigate+ - Frigate",
+    "notifications": "Paramètres de notification - Frigate",
+    "enrichments": "Paramètres de données augmentées - Frigate"
+  },
+  "menu": {
+    "ui": "Interface utilisateur",
+    "classification": "Classification",
+    "masksAndZones": "Masques / Zones",
+    "motionTuner": "Réglages du mouvement",
+    "debug": "Débogage",
+    "cameras": "Paramètres des caméras",
+    "users": "Utilisateurs",
+    "notifications": "Notifications",
+    "frigateplus": "Frigate+",
+    "enrichments": "Données augmentées"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Vous avez des modifications non enregistrées.",
+      "desc": "Voulez-vous enregistrer vos modifications avant de continuer ?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Caméra",
+    "noCamera": "Aucune caméra"
+  },
+  "general": {
+    "title": "Paramètres généraux",
+    "liveDashboard": {
+      "title": "Tableau de bord en direct",
+      "automaticLiveView": {
+        "label": "Vue en direct automatique",
+        "desc": "Basculez automatiquement vers la vue en direct d'une caméra lorsqu'une activité est détectée. La désactivation de cette option limite la mise à jour des images statiques de la caméra sur le tableau de bord en direct à une fois par minute seulement."
+      },
+      "playAlertVideos": {
+        "label": "Lire les vidéos d'alertes",
+        "desc": "Par défaut, les alertes récentes du tableau de bord en direct sont diffusées sous forme de petites vidéos en boucle. Désactivez cette option pour afficher uniquement une image statique des alertes récentes sur cet appareil/navigateur."
+      }
+    },
+    "storedLayouts": {
+      "title": "Mises en page stockées",
+      "desc": "La disposition des caméras d'un groupe peut être déplacée/redimensionnée. Les positions sont enregistrées dans le stockage local de votre navigateur.",
+      "clearAll": "Effacer toutes les mises en page"
+    },
+    "cameraGroupStreaming": {
+      "title": "Paramètres de diffusion du groupe de caméras",
+      "desc": "Les paramètres de diffusion en continu pour chaque groupe de caméras sont stockés dans le stockage local de votre navigateur.",
+      "clearAll": "Effacer tous les paramètres de diffusion"
+    },
+    "recordingsViewer": {
+      "title": "Visionneuse d'enregistrements",
+      "defaultPlaybackRate": {
+        "label": "Vitesse de lecture par défaut",
+        "desc": "Vitesse de lecture par défaut pour la lecture des enregistrements."
+      }
+    },
+    "calendar": {
+      "firstWeekday": {
+        "label": "Premier jour de la semaine",
+        "desc": "Le jour du début de semaine du calendrier de la revue d'évènements.",
+        "sunday": "Dimanche",
+        "monday": "Lundi"
+      },
+      "title": "Calendrier"
+    },
+    "toast": {
+      "error": {
+        "clearStoredLayoutFailed": "Échec de l'effacement de la mise en page enregistrée : {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Échec de l'effacement des paramètres de diffusion : {{errorMessage}}"
+      },
+      "success": {
+        "clearStreamingSettings": "Paramètres de diffusion effacés pour tous les groupes de caméras.",
+        "clearStoredLayout": "Mise en page enregistrée effacée pour {{cameraName}}"
+      }
+    }
+  },
+  "notification": {
+    "suspendTime": {
+      "untilRestart": "Suspendre jusqu'au redémarrage",
+      "24hours": "Suspendre pendant 24 heures",
+      "10minutes": "Suspendre pendant 10 minutes",
+      "12hours": "Suspendre pendant 12 heures",
+      "5minutes": "Suspendre pendant 5 minutes",
+      "1hour": "Suspendre pendant 1 heure",
+      "30minutes": "Suspendre pendant 30 minutes",
+      "suspend": "Suspendre"
+    },
+    "toast": {
+      "success": {
+        "registered": "Inscription réussie aux notifications. Le redémarrage de Frigate est nécessaire avant l'envoi de toute notification (y compris une notification de test).",
+        "settingSaved": "Les paramètres de notification ont été enregistrés."
+      },
+      "error": {
+        "registerFailed": "Impossible de sauvegarder l'enregistrement de la notification."
+      }
+    },
+    "cancelSuspension": "Annuler la suspension",
+    "notificationSettings": {
+      "title": "Paramètres de notification",
+      "documentation": "Lire la documentation",
+      "desc": "Frigate peut envoyer nativement des notifications push à votre appareil lorsqu'il est exécuté dans le navigateur ou installé en tant que PWA."
+    },
+    "notificationUnavailable": {
+      "title": "Notifications indisponibles",
+      "documentation": "Lire la documentation",
+      "desc": "Les notifications push Web nécessitent un contexte sécurisé (<code>https://…</code>). Il s'agit d'une limitation du navigateur. Accédez à Frigate en toute sécurité pour utiliser les notifications."
+    },
+    "globalSettings": {
+      "title": "Paramètres globaux",
+      "desc": "Suspendre temporairement les notifications pour des caméras spécifiques sur tous les appareils enregistrés."
+    },
+    "email": {
+      "title": "Email",
+      "desc": "Une adresse e-mail valide est requise et sera utilisée pour vous avertir en cas de problème avec le service push.",
+      "placeholder": "par ex. exemple@email.com"
+    },
+    "cameras": {
+      "title": "Caméras",
+      "noCameras": "Aucune caméra disponible",
+      "desc": "Sélectionnez les caméras pour lesquelles activer les notifications."
+    },
+    "deviceSpecific": "Paramètres spécifiques de l'appareil",
+    "suspended": "Notifications suspendues {{time}}",
+    "title": "Notifications",
+    "active": "Notifications actives",
+    "registerDevice": "Enregistrer cet appareil",
+    "unregisterDevice": "Désenregistrer cet appareil",
+    "sendTestNotification": "Envoyer une notification de test",
+    "unsavedChanges": "Modifications des notifications non enregistrés",
+    "unsavedRegistrations": "Enregistrements des notifications non enregistrés"
+  },
+  "frigatePlus": {
+    "apiKey": {
+      "notValidated": "La clé API Frigate+ n'est pas détectée ou non validée",
+      "title": "Clé API Frigate+",
+      "validated": "La clé API Frigate+ est détectée et validée",
+      "desc": "La clé API Frigate+ permet l'intégration avec le service Frigate+.",
+      "plusLink": "En savoir plus sur Frigate+"
+    },
+    "title": "Paramètres Frigate+",
+    "snapshotConfig": {
+      "documentation": "Lire la documentation",
+      "desc": "La soumission à Frigate+ nécessite que les instantanés et les instantanés <code>clean_copy</code> soient activés dans votre configuration.",
+      "title": "Configuration de l'instantané",
+      "table": {
+        "snapshots": "Instantanés",
+        "camera": "Caméra",
+        "cleanCopySnapshots": "<code>clean_copy</code> Instantanés"
+      },
+      "cleanCopyWarning": "Certaines caméras ont des instantanés activés, mais la copie propre est désactivée. Vous devez activer <code>clean_copy</code> dans votre configuration d'instantanés pour pouvoir envoyer les images de ces caméras à Frigate+."
+    },
+    "modelInfo": {
+      "baseModel": "Modèle de base",
+      "modelType": "Type de modèle",
+      "cameras": "Caméras",
+      "supportedDetectors": "Détecteurs pris en charge",
+      "loading": "Chargement des informations du modèle…",
+      "title": "Informations sur le modèle",
+      "trainDate": "Date d'entrainement",
+      "error": "Échec du chargement des informations du modèle",
+      "availableModels": "Modèles disponibles",
+      "dimensions": "Dimensions",
+      "loadingAvailableModels": "Chargement des modèles disponibles…",
+      "modelSelect": "Vous pouvez sélectionner ici vos modèles disponibles dans Frigate+. Notez que seuls les modèles compatibles avec votre configuration de détecteur actuelle peuvent être sélectionnés.",
+      "plusModelType": {
+        "baseModel": "Modèle de base",
+        "userModel": "Optimisé"
+      }
+    },
+    "toast": {
+      "success": "Les paramètres de Frigate+ ont été enregistrés. Redémarrez Frigate pour appliquer les modifications.",
+      "error": "Échec de l'enregistrement des modifications de configuration : {{errorMessage}}"
+    },
+    "restart_required": "Redémarrage requis (modèle Frigate+ changé)",
+    "unsavedChanges": "Modifications de paramètres de Frigate+ non enregistrés"
+  },
+  "classification": {
+    "title": "Paramètres de classification",
+    "semanticSearch": {
+      "title": "Recherche sémantique",
+      "reindexNow": {
+        "label": "Réindexer maintenant",
+        "confirmTitle": "Confirmer la réindexation",
+        "error": "Échec du démarrage de la réindexation : {{errorMessage}}",
+        "desc": "La réindexation génère à nouveau les plongements vectoriels pour tous les objets suivis. Ce processus s'exécute en arrière-plan et peut saturer votre processeur et prendre un certain temps, selon le nombre d'objets suivis.",
+        "confirmDesc": "Êtes-vous sûr de vouloir réindexer tous les plongements vectoriels d'objets suivis ? Ce processus s'exécutera en arrière-plan, mais il risque de saturer votre processeur et de prendre un certain temps. Vous pouvez suivre la progression sur la page Explorer.",
+        "success": "La réindexation a démarré avec succès.",
+        "alreadyInProgress": "La réindexation est déjà en cours.",
+        "confirmButton": "Réindexer"
+      },
+      "desc": "La recherche sémantique dans Frigate vous permet de trouver des objets suivis dans vos éléments de revue en utilisant soit l'image elle-même, soit une description textuelle définie par l'utilisateur, soit une description générée automatiquement.",
+      "modelSize": {
+        "small": {
+          "desc": "L'utilisation de <em>petit</em> utilise une version quantifiée du modèle qui utilise moins de mémoire et s'exécute plus rapidement sur le processeur avec une différence très négligeable dans la qualité d'intégration.",
+          "title": "petit"
+        },
+        "large": {
+          "desc": "L'utilisation de <em>grand</em> utilise le modèle Jina complet et s'exécutera automatiquement sur la carte graphique si applicable.",
+          "title": "grand"
+        },
+        "desc": "Taille du modèle utilisé pour les plongements vectoriels de recherche sémantique.",
+        "label": "Taille du modèle"
+      },
+      "readTheDocumentation": "Lire la documentation"
+    },
+    "faceRecognition": {
+      "readTheDocumentation": "Lire la documentation",
+      "modelSize": {
+        "large": {
+          "title": "grand",
+          "desc": "L'utilisation de <em>grand</em> utilise un modèle d'intégration de visage ArcFace et s'exécutera automatiquement sur la carte graphique le cas échéant."
+        },
+        "small": {
+          "desc": "L'utilisation de <em>petit</em> utilise un modèle d'intégration de visage FaceNet qui fonctionne efficacement sur la plupart des processeurs.",
+          "title": "petit"
+        },
+        "label": "Taille du modèle",
+        "desc": "La taille du modèle utilisé pour la reconnaissance faciale."
+      },
+      "desc": "La reconnaissance faciale permet d'attribuer un nom aux personnes. Une fois leur visage reconnu, Frigate attribuera le nom de la personne comme sous-étiquette. Ces informations sont incluses dans l'interface utilisateur, les filtres et les notifications.",
+      "title": "Reconnaissance faciale"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate peut reconnaître les plaques d'immatriculation des véhicules et ajouter automatiquement les caractères détectés au champ recognized_license_plate, ou un nom connu comme sous-étiquette aux objets de type voiture. Un cas d'utilisation courant est la lecture des plaques d'immatriculation des voitures entrant dans une allée ou circulant dans la rue.",
+      "readTheDocumentation": "Lire la documentation",
+      "title": "Reconnaissance de plaque d'immatriculation"
+    },
+    "toast": {
+      "success": "Les paramètres de classification ont été enregistrés. Redémarrez Frigate pour appliquer vos modifications.",
+      "error": "Échec de l'enregistrement des modifications de configuration : {{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "Classification des oiseaux",
+      "desc": "La classification des oiseaux identifie les oiseaux connus à l'aide d'un modèle Tensorflow quantifié. Lorsqu'un oiseau connu est reconnu, son nom commun sera ajouté en tant que sous-étiquette. Cette information est incluse dans l'interface utilisateur, les filtres, ainsi que dans les notifications."
+    },
+    "restart_required": "Redémarrage requis (paramètres de classification changés)",
+    "unsavedChanges": "Modifications des paramètres de classification non enregistrées"
+  },
+  "camera": {
+    "title": "Paramètres de la caméra",
+    "review": {
+      "title": "Revue d'événements",
+      "detections": "Détections ",
+      "alerts": "Alertes ",
+      "desc": "Activer/désactiver temporairement les alertes et les détections pour cette caméra jusqu'au redémarrage de Frigate. Si cette option est désactivée, aucun nouvel élément ne sera généré dans la revue d'événements. "
+    },
+    "reviewClassification": {
+      "title": "Catégorisation de la revue d'évènements",
+      "objectDetectionsTips": "Tous les objets {{detectionsLabels}} non classés sur {{cameraName}} seront affichés comme des détections, quelle que soit la zone dans laquelle ils se trouvent.",
+      "zoneObjectDetectionsTips": {
+        "text": "Tous les objets {{detectionsLabels}} non classés dans {{zone}} sur {{cameraName}} seront affichés comme des détections.",
+        "regardlessOfZoneObjectDetectionsTips": "Tous les objets {{detectionsLabels}} non classés sur {{cameraName}} seront affichés comme des détections, quelle que soit la zone dans laquelle ils se trouvent.",
+        "notSelectDetections": "Tous les objets {{detectionsLabels}} détectés dans {{zone}} sur {{cameraName}} non classés comme des alertes seront affichés comme des détections, quelle que soit la zone dans laquelle ils se trouvent."
+      },
+      "selectDetectionsZones": "Sélectionner les zones pour les détections",
+      "toast": {
+        "success": "La configuration de la classification de la revue d'événements a été enregistrée. Redémarrez Frigate pour appliquer les modifications."
+      },
+      "readTheDocumentation": "Lire la documentation",
+      "objectAlertsTips": "Tous les objets {{alertsLabels}} sur {{cameraName}} seront affichés sous forme d'alertes.",
+      "limitDetections": "Limiter les détections à des zones spécifiques",
+      "zoneObjectAlertsTips": "Tous les objets {{alertsLabels}} détectés dans {{zone}} sur {{cameraName}} seront affichés sous forme d'alertes.",
+      "noDefinedZones": "Aucune zone n'est définie pour cette caméra.",
+      "selectAlertsZones": "Sélectionner les zones pour les alertes",
+      "desc": "Frigate classe les éléments de la revue d'événements en alertes et détections. Par défaut, toutes les détections de <em>personnes</em> et de <em>voitures</em> sont qualifiées d'alertes. Vous avez la possibilité d'affiner cette catégorisation en configurant des zones spécifiques pour ces éléments.",
+      "unsavedChanges": "Paramètres de classification de la revue d'événements pour {{camera}} non enregistrés"
+    },
+    "streams": {
+      "title": "Flux",
+      "desc": "Désactive temporairement une caméra jusqu'au redémarrage de Frigate. La désactivation complète d'une caméra interrompt le traitement des flux de cette caméra par Frigate. La détection, l'enregistrement et le débogage seront indisponibles.<br /> <em>Remarque : cela ne désactive pas les rediffusions go2rtc.</em>"
+    }
+  },
+  "masksAndZones": {
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Le nom de la zone doit comporter au moins 2 caractères.",
+          "mustNotBeSameWithCamera": "Le nom de la zone ne doit pas être le même que le nom de la caméra.",
+          "mustNotContainPeriod": "Le nom de la zone ne doit pas contenir de points.",
+          "hasIllegalCharacter": "Le nom de la zone contient des caractères interdits.",
+          "alreadyExists": "Une zone portant ce nom existe déjà pour cette caméra."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "La distance doit être supérieure ou égale à 0,1.",
+          "mustBeFilled": "Tous les champs de distance doivent être remplis pour utiliser l'estimation de la vitesse."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Supprimer le dernier point",
+        "delete": {
+          "title": "Confirmer la suppression",
+          "desc": "Êtes-vous sûr de vouloir supprimer le {{type}} <em>{{name}}</em> ?",
+          "success": "{{name}} a été supprimé."
+        },
+        "error": {
+          "mustBeFinished": "Le dessin du polygone doit être terminé avant d'enregistrer."
+        },
+        "reset": {
+          "label": "Effacer tous les points"
+        },
+        "snapPoints": {
+          "true": "Points d'accrochage",
+          "false": "Ne cassez pas les points"
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Le temps de latence doit être supérieur ou égal à 0."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "L'inertie doit être supérieure à 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Le seuil de vitesse soit être égal ou supérieur à 0.1."
+        }
+      }
+    },
+    "zones": {
+      "documentTitle": "Modifier la zone - Frigate",
+      "desc": {
+        "title": "Les zones vous permettent de définir une zone spécifique de l'image afin de déterminer si un objet s'y trouve.",
+        "documentation": "Documentation"
+      },
+      "add": "Ajouter une zone",
+      "edit": "Modifier une zone",
+      "name": {
+        "title": "Nom",
+        "inputPlaceHolder": "Entrer un nom…",
+        "tips": "Le nom doit comporter au moins 2 caractères et ne doit pas être le nom d'une caméra ou d'une autre zone."
+      },
+      "loiteringTime": {
+        "desc": "Définit une durée minimale en secondes pendant laquelle l'objet doit rester dans la zone pour qu'elle s'active. <em>Par défaut : 0</em>",
+        "title": "Temps de latence"
+      },
+      "speedEstimation": {
+        "title": "Estimation de la vitesse",
+        "desc": "Activer l'estimation de la vitesse des objets dans cette zone. La zone doit comporter exactement 4 points.",
+        "docs": "Lire la documentation",
+        "lineBDistance": "Distance ligne B ({{unit}})",
+        "lineCDistance": "Distance ligne C ({{unit}})",
+        "lineADistance": "Distance ligne A ({{unit}})",
+        "lineDDistance": "Distance ligne D ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Seuil de vitesse ({{unit}})",
+        "desc": "Spécifie une vitesse minimale pour que les objets soient pris en compte dans cette zone.",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Les zones avec des temps de latence supérieurs à 0 ne doivent pas être utilisées avec l'estimation de la vitesse.",
+            "pointLengthError": "L'estimation de vitesse a été désactivée pour cette zone. Les zones avec estimation de vitesse doivent comporter exactement 4 points."
+          }
+        }
+      },
+      "point_one": "{{count}} point",
+      "point_many": "{{count}} points",
+      "point_other": "{{count}} points",
+      "label": "Zones",
+      "inertia": {
+        "desc": "Spécifie le nombre d'images qu'un objet doit avoir dans une zone avant d'être considéré comme faisant partie de la zone. <em>Par défaut : 3</em>",
+        "title": "Inertie"
+      },
+      "toast": {
+        "success": "La zone ({{zoneName}}) a été enregistrée. Redémarrez Frigate pour appliquer les modifications."
+      },
+      "objects": {
+        "title": "Objets",
+        "desc": "Liste des objets qui s'appliquent à cette zone."
+      },
+      "clickDrawPolygon": "Cliquer pour dessiner un polygone sur l'image.",
+      "allObjects": "Tous les objets"
+    },
+    "motionMasks": {
+      "label": "Masque de mouvement",
+      "documentTitle": "Modifier masque de mouvement - Frigate",
+      "context": {
+        "documentation": "Lire la documentation",
+        "title": "Les masques de mouvement servent à empêcher les mouvements indésirables de déclencher la détection (par exemple : branches d'arbres, horodatage des caméras). Ils doivent être utilisés <em>avec parcimonie</em>, car un surmasquage complique le suivi des objets."
+      },
+      "polygonAreaTooLarge": {
+        "title": "Le masque de mouvement couvre {{polygonArea}} % du cadre de la caméra. Les grands masques de mouvement ne sont pas recommandés.",
+        "tips": "Les masques de mouvement n'empêchent pas la détection des objets. Il est préférable d'utiliser une zone obligatoire.",
+        "documentation": "Lire la documentation"
+      },
+      "edit": "Modifier le masque de mouvement",
+      "point_one": "{{count}} point",
+      "point_many": "{{count}} points",
+      "point_other": "{{count}} points",
+      "clickDrawPolygon": "Cliquer pour dessiner un polygone sur l'image.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} a été enregistré. Redémarrez Frigate pour appliquer les modifications.",
+          "noName": "Le masque de mouvement a été enregistré. Redémarrez Frigate pour appliquer les modifications."
+        }
+      },
+      "desc": {
+        "title": "Les masques de mouvement servent à empêcher la détection de mouvements indésirables. Un masquage excessif complique le suivi des objets.",
+        "documentation": "Documentation"
+      },
+      "add": "Nouveau masque de mouvement"
+    },
+    "objectMasks": {
+      "label": "Masques de l'objet",
+      "desc": {
+        "documentation": "Documentation",
+        "title": "Les masques de filtrage d'objets sont utilisés pour filtrer les faux positifs pour un type d'objet donné en fonction de l'emplacement."
+      },
+      "edit": "Modifier un masque d'objet",
+      "clickDrawPolygon": "Cliquez pour dessiner un polygone sur l'image.",
+      "objects": {
+        "title": "Objets",
+        "desc": "Le type d'objet qui s'applique à ce masque d'objet.",
+        "allObjectTypes": "Tous les types d'objet"
+      },
+      "toast": {
+        "success": {
+          "noName": "Le masque d'objet a été enregistré. Redémarrez Frigate pour appliquer les modifications.",
+          "title": "{{polygonName}} a été enregistré. Redémarrez Frigate pour appliquer les modifications."
+        }
+      },
+      "point_one": "{{count}} point",
+      "point_many": "{{count}} points",
+      "point_other": "{{count}} points",
+      "add": "Ajouter un masque d'objet",
+      "documentTitle": "Modifier le masque de l'objet - Frigate",
+      "context": "Les masques de filtrage d'objets sont utilisés pour filtrer les faux positifs pour un type d'objet donné en fonction de l'emplacement."
+    },
+    "filter": {
+      "all": "Tous les masques et zones"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coordonnées copiées pour {{polyName}} dans le presse-papiers."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Impossible de copier les coordonnées dans le presse-papiers."
+      }
+    },
+    "restart_required": "Redémarrage requis (masques/zones changés)",
+    "objectMaskLabel": "Masque d'objet {{number}} ({{label}})",
+    "motionMaskLabel": "Masque de mouvement {{number}}"
+  },
+  "motionDetectionTuner": {
+    "title": "Réglage de la détection de mouvement",
+    "desc": {
+      "documentation": "Lisez le guide de réglage de mouvement",
+      "title": "Frigate utilise la détection de mouvement comme première ligne de contrôle pour voir s'il se passe quelque chose dans l'image qui mérite d'être vérifié avec la détection d'objet."
+    },
+    "Threshold": {
+      "title": "Seuil",
+      "desc": "La valeur seuil détermine dans quelle mesure un changement dans la luminance d'un pixel est nécessaire pour être considéré comme un mouvement. <em>Valeur par défaut : 30</em>"
+    },
+    "contourArea": {
+      "title": "Zone de contour",
+      "desc": "La valeur de la zone de contour est utilisée pour déterminer quels groupes de pixels modifiés sont qualifiés de mouvement. <em>Par défaut : 10</em>"
+    },
+    "improveContrast": {
+      "title": "Améliorer le contraste",
+      "desc": "Améliorer le contraste pour les scènes plus sombres. <em>Par défaut : ACTIVÉ</em>"
+    },
+    "toast": {
+      "success": "Les paramètres de mouvement ont été enregistrés."
+    },
+    "unsavedChanges": "Modifications des réglages de mouvement non enregistrés ({{camera}})"
+  },
+  "debug": {
+    "debugging": "Débogage",
+    "objectList": "Liste d'objets",
+    "boundingBoxes": {
+      "title": "Cadres de délimitation",
+      "colors": {
+        "label": "Couleurs du cadre de délimitation d'un objet",
+        "info": "<li>Au démarrage, différentes couleurs seront attribuées à chaque libellé d'objet</li><li>Une fine ligne bleu foncé indique que l'objet n'est pas détecté à ce moment précis</li><li>Une fine ligne grise indique que l'objet est détecté comme étant stationnaire</li><li>Une ligne épaisse indique que l'objet fait l'objet d'un suivi automatique (lorsqu'il est activé)</li>"
+      },
+      "desc": "Afficher les cadres de délimitation autour des objets suivis"
+    },
+    "timestamp": {
+      "title": "Horodatage",
+      "desc": "Superposer un horodatage sur l'image"
+    },
+    "zones": {
+      "title": "Zones",
+      "desc": "Afficher un aperçu de toutes les zones définies"
+    },
+    "mask": {
+      "title": "Masques de mouvement",
+      "desc": "Afficher les polygones du masque de mouvement"
+    },
+    "motion": {
+      "desc": "Afficher des cadres autour des zones où un mouvement est détecté",
+      "title": "Cadres de mouvement",
+      "tips": "<p><strong>Cadres de mouvement</strong></p><br><p>Des cadres rouges seront superposées sur les zones de l'image où un mouvement est actuellement détecté</p>"
+    },
+    "regions": {
+      "title": "Régions",
+      "desc": "Afficher une boîte de la région d'intérêt envoyée au détecteur d'objet",
+      "tips": "<p><strong>Cadres de région</strong></p><br><p>Des cadres verts lumineux seront superposés sur les zones d'intérêt de l'image qui sont envoyées au détecteur d'objets.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Dessin de filtre de forme d'objet",
+      "area": "Zone",
+      "desc": "Dessinez un rectangle sur l'image pour afficher les détails de la zone et du rapport",
+      "score": "Score",
+      "tips": "Activez cette option pour dessiner un rectangle sur l'image de la caméra afin d'afficher sa surface et son ratio. Ces valeurs peuvent ensuite être utilisées pour définir les paramètres de filtre de forme d'objet dans votre configuration.",
+      "document": "Lire la documentation ",
+      "ratio": "Ratio"
+    },
+    "noObjects": "Aucun objet",
+    "title": "Débogage",
+    "detectorDesc": "Frigate utilise vos détecteurs ({{detectors}}) pour détecter les objets dans le flux vidéo de votre caméra.",
+    "desc": "La vue de débogage affiche en temps réel les objets suivis et leurs statistiques. La liste des objets affiche un résumé différé des objets détectés."
+  },
+  "users": {
+    "title": "Utilisateurs",
+    "management": {
+      "title": "Gestion des utilisateurs",
+      "desc": "Gérez les comptes utilisateurs de cette instance Frigate."
+    },
+    "addUser": "Ajouter un utilisateur",
+    "updatePassword": "Mettre à jour le mot de passe",
+    "toast": {
+      "success": {
+        "roleUpdated": "Rôle mis à jour pour {{user}}",
+        "deleteUser": "L'utilisateur {{user}} a été supprimé avec succès",
+        "createUser": "L'utilisateur {{user}} a été créé avec succès",
+        "updatePassword": "Mot de passe mis à jour avec succès."
+      },
+      "error": {
+        "setPasswordFailed": "Échec de l'enregistrement du mot de passe : {{errorMessage}}",
+        "createUserFailed": "Échec de la création de l'utilisateur : {{errorMessage}}",
+        "deleteUserFailed": "Échec de la suppression de l'utilisateur : {{errorMessage}}",
+        "roleUpdateFailed": "Échec de la mise à jour du rôle : {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Nom d'utilisateur",
+      "actions": "Actions",
+      "noUsers": "Aucun utilisateur trouvé.",
+      "changeRole": "Changer le rôle d'utilisateur",
+      "password": "Mot de passe",
+      "deleteUser": "Supprimer un utilisateur",
+      "role": "Rôle"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Nom d'utilisateur",
+          "placeholder": "Entrez le nom d'utilisateur",
+          "desc": "Seules les lettres, les chiffres, les points et les traits de soulignement sont autorisés."
+        },
+        "password": {
+          "strength": {
+            "weak": "Faible",
+            "title": "Sécurité du mot de passe : ",
+            "medium": "Moyen",
+            "strong": "Fort",
+            "veryStrong": "Très fort"
+          },
+          "match": "Les mots de passe correspondent",
+          "notMatch": "Les mots de passe ne correspondent pas",
+          "placeholder": "Entrez le mot de passe",
+          "title": "Mot de passe",
+          "confirm": {
+            "title": "Confirmez le mot de passe",
+            "placeholder": "Confirmez le mot de passe"
+          }
+        },
+        "newPassword": {
+          "title": "Nouveau mot de passe",
+          "placeholder": "Entrez le nouveau mot de passe",
+          "confirm": {
+            "placeholder": "Ré-entrez le nouveau mot de passe"
+          }
+        },
+        "usernameIsRequired": "Le nom d'utilisateur est requis",
+        "passwordIsRequired": "Mot de passe requis"
+      },
+      "deleteUser": {
+        "title": "Supprimer un utilisateur",
+        "desc": "Cette action est irréversible. Elle supprimera définitivement le compte utilisateur et toutes les données associées.",
+        "warn": "Êtes-vous sûr de vouloir supprimer <strong>{{username}}</strong> ?"
+      },
+      "passwordSetting": {
+        "updatePassword": "Mettre à jour le mot de passe pour {{username}}",
+        "setPassword": "Définir le mot de passe",
+        "desc": "Créez un mot de passe fort pour sécuriser ce compte.",
+        "doNotMatch": "Les mots de passe ne correspondent pas",
+        "cannotBeEmpty": "Le mot de passe ne peut être vide"
+      },
+      "changeRole": {
+        "title": "Changer le rôle de l'utilisateur",
+        "desc": "Mettre à jour les autorisations pour <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Sélectionnez le rôle approprié pour cet utilisateur :",
+          "admin": "Administrateur",
+          "adminDesc": "Accès complet à l'ensemble des fonctionnalités.",
+          "viewer": "Observateur",
+          "viewerDesc": "Limité aux tableaux de bord Direct, Revue d'événements, Explorer et Exports."
+        },
+        "select": "Sélectionnez un rôle"
+      },
+      "createUser": {
+        "title": "Créer un nouvel utilisateur",
+        "desc": "Ajoutez un nouveau compte utilisateur et spécifiez un rôle pour accéder aux zones de l'interface utilisateur Frigate.",
+        "usernameOnlyInclude": "Le nom d'utilisateur ne peut inclure que des lettres, des chiffres, . ou _",
+        "confirmPassword": "Veuillez confirmer votre mot de passe"
+      }
+    }
+  },
+  "enrichments": {
+    "title": "Paramètres des données augmentées",
+    "birdClassification": {
+      "title": "Identification des oiseaux",
+      "desc": "L'identification des oiseaux est réalisée à l'aide d'un modèle TensorFlow quantifié. Lorsqu'un oiseau est reconnu, son nom commun est automatiquement ajouté comme sous-libellé. Cette information est intégréesà l'interface utilisateur, aux filtres de recherche et aux notifications."
+    },
+    "semanticSearch": {
+      "title": "Recherche sémantique",
+      "readTheDocumentation": "Lire la documentation",
+      "reindexNow": {
+        "label": "Réindexer maintenant",
+        "desc": "La réindexation va régénérer les représentations numériques pour tous les objets suivis. Ce processus s'exécute en arrière-plan et peut saturer votre processeur et prendre un temps considérable, en fonction du nombre d'objets suivis.",
+        "confirmTitle": "Confirmez la réindexation",
+        "confirmButton": "Réindexer",
+        "success": "La réindexation a démarré avec succès.",
+        "alreadyInProgress": "La réindexation est déjà en cours.",
+        "error": "Échec du démarrage de la réindexation : {{errorMessage}}",
+        "confirmDesc": "Êtes-vous sûr de vouloir réindexer tous les représentations numériques des objets suivis ? Ce processus s'exécutera en arrière-plan, mais il pourrait saturer votre processeur et prendre un temps considérable. Vous pouvez suivre la progression sur la page Explorer."
+      },
+      "modelSize": {
+        "desc": "La taille du modèle utilisé pour les représentations numériques de recherche sémantique.",
+        "small": {
+          "title": "petit",
+          "desc": "Utiliser <em>petit</em> emploie une version quantifiée du modèle qui utilise moins de mémoire et s'exécute plus rapidement sur le processeur avec une différence négligeable dans la qualité des représentations numériques."
+        },
+        "large": {
+          "title": "grand",
+          "desc": "Utiliser <em>grand</em> emploie le modèle Jina complet et s'exécutera automatiquement sur le GPU si disponible."
+        },
+        "label": "Taille du modèle"
+      },
+      "desc": "La recherche sémantique de Frigate vous permet de retrouver les objets suivis dans votre revue d'évènements en utilisant soit l'image elle-même, soit une description textuelle définie par l'utilisateur, soit une description générée automatiquement."
+    },
+    "unsavedChanges": "Modifications non enregistrées des paramètres des données augmentées",
+    "faceRecognition": {
+      "title": "Reconnaissance faciale",
+      "readTheDocumentation": "Lire la documentation",
+      "modelSize": {
+        "label": "Taille du modèle",
+        "desc": "La taille du modèle utilisé pour la reconnaissance faciale.",
+        "small": {
+          "title": "petit",
+          "desc": "Utiliser <em>petit</em> emploie un modèle de représentation numérique faciale FaceNet qui s'exécute efficacement sur la plupart des processeurs."
+        },
+        "large": {
+          "title": "grand",
+          "desc": "Utiliser <em>grand</em> emploie un modèle de représentation numérique faciale ArcFace et s'exécutera automatiquement sur le GPU si disponible."
+        }
+      },
+      "desc": "La reconnaissance faciale permet à Frigate d'identifier les individus par leur nom. Dès qu'un visage est reconnu, Frigate associe ce nom comme sous-libellé à l'événement. Ces informations sont ensuite intégrées dans l'interface utilisateur, les options de filtrage et les notifications."
+    },
+    "licensePlateRecognition": {
+      "title": "Reconnaissance des plaques d'immatriculation",
+      "readTheDocumentation": "Lire la documentation",
+      "desc": "Frigate identifie les plaques d'immatriculation des véhicules et peut automatiquement insérer les caractères détectés dans le champ recognized_license_plate. Il est également capable d'assigner un nom familier comme sous-libellé aux objets de type \"voiture\". Par exemple, cette fonction est souvent utilisée pour lire les plaques des véhicules empruntant une allée ou une rue."
+    },
+    "toast": {
+      "error": "Échec de l'enregistrement des modifications de configuration : {{errorMessage}}",
+      "success": "Les paramètres de données augmentées ont été enregistrés. Redémarrez Frigate pour appliquer les modifications."
+    },
+    "restart_required": "Redémarrage nécessaire (paramètres des données augmentées modifiés)"
+  }
+}
diff --git a/web/public/locales/fr/views/system.json b/web/public/locales/fr/views/system.json
new file mode 100644
index 000000000..9b3d8a5dc
--- /dev/null
+++ b/web/public/locales/fr/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "storage": "Statistiques de stockage - Frigate",
+    "cameras": "Statistiques des caméras - Frigate",
+    "general": "Statistiques générales - Frigate",
+    "enrichments": "Statistiques de données augmentées - Frigate",
+    "logs": {
+      "frigate": "Journaux de Frigate - Frigate",
+      "nginx": "Journaux Nginx - Frigate",
+      "go2rtc": "Journaux Go2RTC - Frigate"
+    }
+  },
+  "title": "Système",
+  "metrics": "Métriques du système",
+  "logs": {
+    "download": {
+      "label": "Télécharger les journaux"
+    },
+    "copy": {
+      "label": "Copier dans le presse-papiers",
+      "success": "Journaux copiés vers le presse-papiers",
+      "error": "Échec du copiage des journaux dans le presse-papiers"
+    },
+    "type": {
+      "label": "Type",
+      "timestamp": "Horodatage",
+      "tag": "Balise",
+      "message": "Message"
+    },
+    "tips": "Les logs sont diffusés en continu depuis le serveur",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Erreur lors de la récupération des logs : {{errorMessage}}",
+        "whileStreamingLogs": "Erreur lors de la diffusion des logs : {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "Général",
+    "detector": {
+      "title": "Détecteurs",
+      "inferenceSpeed": "Vitesse d'inférence du détecteur",
+      "cpuUsage": "Utilisation processeur du détecteur",
+      "memoryUsage": "Utilisation mémoire du détecteur",
+      "temperature": "Température du détecteur"
+    },
+    "hardwareInfo": {
+      "title": "Info matériel",
+      "gpuUsage": "Utilisation carte graphique",
+      "gpuMemory": "Mémoire carte graphique",
+      "gpuEncoder": "Encodeur carte graphique",
+      "gpuDecoder": "Décodeur carte graphique",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Sortie Vainfo",
+          "returnCode": "Code de retour : {{code}}",
+          "processOutput": "Tâche de sortie :",
+          "processError": "Erreur de tâche :"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Sortie Nvidia SMI",
+          "name": "Nom : {{name}}",
+          "cudaComputerCapability": "Capacité de calcul CUDA : {{cuda_compute}}",
+          "vbios": "Informations VBios : {{vbios}}",
+          "driver": "Pilote : {{driver}}"
+        },
+        "copyInfo": {
+          "label": "Information de copie du GPU"
+        },
+        "toast": {
+          "success": "Informations GPU copiées dans le presse-papier"
+        },
+        "closeInfo": {
+          "label": "Information de fermeture du GPU"
+        }
+      },
+      "npuUsage": "Utilisation NPU",
+      "npuMemory": "Mémoire NPU"
+    },
+    "otherProcesses": {
+      "title": "Autres tâches",
+      "processCpuUsage": "Utilisation processeur des tâches",
+      "processMemoryUsage": "Utilisation mémoire des tâches"
+    }
+  },
+  "storage": {
+    "title": "Stockage",
+    "recordings": {
+      "title": "Enregistrements",
+      "earliestRecording": "Enregistrement le plus ancien :",
+      "tips": "Cette valeur correspond au stockage total utilisé par les enregistrements dans la base de données Frigate. Frigate ne suit pas l'utilisation du stockage pour tous les fichiers sur votre disque."
+    },
+    "cameraStorage": {
+      "title": "Stockage de la caméra",
+      "bandwidth": "Bande passante",
+      "unused": {
+        "title": "Inutilisé",
+        "tips": "Cette valeur ne représente peut-être pas précisément l'espace libre et utilisable par Frigate si vous avez d'autres fichiers stockés sur ce disque en plus des enregistrements Frigate. Frigate ne suit pas l'utilisation du stockage en dehors de ses propres enregistrements."
+      },
+      "percentageOfTotalUsed": "Pourcentage du total",
+      "storageUsed": "Stockage",
+      "camera": "Caméra",
+      "unusedStorageInformation": "Information sur le stockage non utilisé"
+    },
+    "overview": "Vue d'ensemble"
+  },
+  "cameras": {
+    "title": "Caméras",
+    "info": {
+      "cameraProbeInfo": "{{camera}} Information récupérée depuis la caméra",
+      "fetching": "En cours de récupération des données de la caméra",
+      "stream": "Flux {{idx}}",
+      "fps": "Images par seconde :",
+      "unknown": "Inconnu",
+      "audio": "Audio :",
+      "tips": {
+        "title": "Information récupérée depuis la caméra"
+      },
+      "streamDataFromFFPROBE": "Le flux de données est obtenu par <code>ffprobe</code>.",
+      "resolution": "Résolution :",
+      "error": "Erreur : {{error}}",
+      "codec": "Codec :",
+      "video": "Vidéo :",
+      "aspectRatio": "ratio d'aspect"
+    },
+    "framesAndDetections": "Images / Détections",
+    "label": {
+      "camera": "caméra",
+      "detect": "Détecter",
+      "skipped": "ignoré",
+      "ffmpeg": "FFmpeg",
+      "capture": "capture",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} détections manquées par seconde",
+      "overallDetectionsPerSecond": "Moyenne de détections par seconde",
+      "overallFramesPerSecond": "Moyenne d'images par seconde",
+      "overallSkippedDetectionsPerSecond": "Moyenne de détections manquées par seconde",
+      "cameraCapture": "{{camName}} capture",
+      "cameraDetect": "{{camName}} détection",
+      "cameraFramesPerSecond": "{{camName}} images par seconde",
+      "cameraDetectionsPerSecond": "{{camName}} détections par seconde"
+    },
+    "overview": "Vue d'ensemble",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Données récupérées copiées dans le presse-papier."
+      },
+      "error": {
+        "unableToProbeCamera": "Impossible de récupérer des infos depuis la caméra : {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Dernier rafraichissement : ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} a un taux élevé d'utilisation processeur par FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} a un taux élevé d'utilisation processeur ({{detectAvg}}%)",
+    "healthy": "Le système est sain",
+    "reindexingEmbeddings": "Réindexation des représentations numériques ({{processed}}% complété)",
+    "cameraIsOffline": "{{camera}} est hors ligne",
+    "detectIsSlow": "{{detect}} est lent ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} est très lent ({{speed}} ms)"
+  },
+  "enrichments": {
+    "title": "Données augmentées",
+    "infPerSecond": "Inférences par seconde",
+    "embeddings": {
+      "face_embedding_speed": "Vitesse de capture des données complémentaires de visage",
+      "text_embedding_speed": "Vitesse de capture des données complémentaire de texte",
+      "image_embedding_speed": "Vitesse de capture des données complémentaires à l'image",
+      "plate_recognition_speed": "Vitesse de reconnaissance des plaques d'immatriculation",
+      "face_recognition_speed": "Vitesse de reconnaissance faciale",
+      "plate_recognition": "Reconnaissance de plaques d'immatriculation",
+      "image_embedding": "Représentations numériques d'image",
+      "yolov9_plate_detection": "Détection de plaques d'immatriculation YOLOv9",
+      "face_recognition": "Reconnaissance faciale",
+      "text_embedding": "Représentation numérique de texte",
+      "yolov9_plate_detection_speed": "Vitesse de détection de plaques d'immatriculation YOLOv9"
+    }
+  }
+}
diff --git a/web/public/locales/gl/audio.json b/web/public/locales/gl/audio.json
new file mode 100644
index 000000000..507de0409
--- /dev/null
+++ b/web/public/locales/gl/audio.json
@@ -0,0 +1,19 @@
+{
+  "speech": "Fala",
+  "babbling": "Balbuxo",
+  "bicycle": "Bicicleta",
+  "yell": "Berro",
+  "car": "Coche",
+  "crying": "Chorando",
+  "sigh": "Suspiro",
+  "singing": "Cantando",
+  "motorcycle": "Motocicleta",
+  "bus": "Bus",
+  "train": "Tren",
+  "boat": "Bote",
+  "bird": "Paxaro",
+  "cat": "Gato",
+  "bellow": "Abaixo",
+  "whoop": "Ei carballeira",
+  "whispering": "Murmurando"
+}
diff --git a/web/public/locales/gl/common.json b/web/public/locales/gl/common.json
new file mode 100644
index 000000000..1443cce35
--- /dev/null
+++ b/web/public/locales/gl/common.json
@@ -0,0 +1,13 @@
+{
+  "time": {
+    "untilForTime": "Até {{time}}",
+    "untilForRestart": "Até que se reinicie Frigate.",
+    "justNow": "Xusto agora",
+    "last7": "Últimos 7 días",
+    "last14": "Últimos 14 días",
+    "thisWeek": "Esta semana",
+    "today": "Hoxe",
+    "untilRestart": "Ata o reinicio",
+    "ago": "Fai {{timeAgo}}"
+  }
+}
diff --git a/web/public/locales/gl/components/auth.json b/web/public/locales/gl/components/auth.json
new file mode 100644
index 000000000..2a0bee0d5
--- /dev/null
+++ b/web/public/locales/gl/components/auth.json
@@ -0,0 +1,12 @@
+{
+  "form": {
+    "user": "Usuario/a",
+    "password": "Contrasinal",
+    "errors": {
+      "passwordRequired": "Contrasinal obrigatorio",
+      "unknownError": "Erro descoñecido. Revisa os logs.",
+      "usernameRequired": "Usuario/a obrigatorio"
+    },
+    "login": "Iniciar sesión"
+  }
+}
diff --git a/web/public/locales/gl/components/camera.json b/web/public/locales/gl/components/camera.json
new file mode 100644
index 000000000..166eebec3
--- /dev/null
+++ b/web/public/locales/gl/components/camera.json
@@ -0,0 +1,20 @@
+{
+  "group": {
+    "label": "Grupos de cámaras",
+    "add": "Engadir Grupo de cámaras",
+    "delete": {
+      "confirm": {
+        "title": "Confirma o borrado",
+        "desc": "Seguro/a que queres borrar o Grupo de cámaras <em>{{name}}</em>?"
+      },
+      "label": "Borrar o Grupo de Cámaras"
+    },
+    "name": {
+      "placeholder": "Introduce un nome…",
+      "errorMessage": {
+        "nameMustNotPeriod": "Grupo de Cámaras non debe conter un punto."
+      }
+    },
+    "edit": "Editar o Grupo de Cámaras"
+  }
+}
diff --git a/web/public/locales/gl/components/dialog.json b/web/public/locales/gl/components/dialog.json
new file mode 100644
index 000000000..c6519972a
--- /dev/null
+++ b/web/public/locales/gl/components/dialog.json
@@ -0,0 +1,21 @@
+{
+  "restart": {
+    "title": "Estás seguro/a que queres reiniciar Frigate?",
+    "button": "Reiniciar",
+    "restarting": {
+      "button": "Forzar reinicio",
+      "content": "Esta páxina recargarase en {{countdown}} segundos.",
+      "title": "Frigate está Reiniciando"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "label": "Confirma esta etiqueta para Frigate Plus",
+          "ask_an": "E isto un obxecto <code>{{label}}</code>?"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/gl/components/filter.json b/web/public/locales/gl/components/filter.json
new file mode 100644
index 000000000..6927e2e51
--- /dev/null
+++ b/web/public/locales/gl/components/filter.json
@@ -0,0 +1,16 @@
+{
+  "filter": "Filtrar",
+  "labels": {
+    "label": "Etiquetas",
+    "count_one": "{{count}} Etiqueta",
+    "all": {
+      "short": "Etiquetas",
+      "title": "Todas as Etiquetas"
+    }
+  },
+  "zones": {
+    "all": {
+      "title": "Tódalas zonas"
+    }
+  }
+}
diff --git a/web/public/locales/gl/components/icons.json b/web/public/locales/gl/components/icons.json
new file mode 100644
index 000000000..73100bce9
--- /dev/null
+++ b/web/public/locales/gl/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecciona unha icona",
+    "search": {
+      "placeholder": "Pesquisar unha icona…"
+    }
+  }
+}
diff --git a/web/public/locales/gl/components/input.json b/web/public/locales/gl/components/input.json
new file mode 100644
index 000000000..c230e5463
--- /dev/null
+++ b/web/public/locales/gl/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Descargar vídeo",
+      "toast": {
+        "success": "O teu vídeo de revisión comezou a descargarse."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/gl/components/player.json b/web/public/locales/gl/components/player.json
new file mode 100644
index 000000000..89bce7f07
--- /dev/null
+++ b/web/public/locales/gl/components/player.json
@@ -0,0 +1,14 @@
+{
+  "noRecordingsFoundForThisTime": "Non se atoparon grabacións para ese período",
+  "noPreviewFound": "Non se atopou previsualización",
+  "submitFrigatePlus": {
+    "submit": "Enviar",
+    "title": "Enviar este frame a Frigate+?"
+  },
+  "stats": {
+    "streamType": {
+      "title": "Tipo de emisión:"
+    }
+  },
+  "noPreviewFoundFor": "Vista Previa non atopada para {{cameraName}}"
+}
diff --git a/web/public/locales/gl/objects.json b/web/public/locales/gl/objects.json
new file mode 100644
index 000000000..60c54085a
--- /dev/null
+++ b/web/public/locales/gl/objects.json
@@ -0,0 +1,18 @@
+{
+  "person": "Persoa",
+  "bicycle": "Bicicleta",
+  "airplane": "Avión",
+  "motorcycle": "Motocicleta",
+  "bus": "Bus",
+  "train": "Tren",
+  "boat": "Bote",
+  "traffic_light": "Luces de tráfico",
+  "fire_hydrant": "Boca de incendio",
+  "street_sign": "Sinal de tráfico",
+  "stop_sign": "Sinal de Stop",
+  "parking_meter": "Parquímetro",
+  "bench": "Banco",
+  "bird": "Paxaro",
+  "cat": "Gato",
+  "car": "Coche"
+}
diff --git a/web/public/locales/gl/views/configEditor.json b/web/public/locales/gl/views/configEditor.json
new file mode 100644
index 000000000..0d84b1a16
--- /dev/null
+++ b/web/public/locales/gl/views/configEditor.json
@@ -0,0 +1,12 @@
+{
+  "documentTitle": "Editor de configuración - Frigate",
+  "configEditor": "Editor de Preferencias",
+  "saveOnly": "Só gardar",
+  "toast": {
+    "error": {
+      "savingError": "Erro gardando configuración"
+    }
+  },
+  "saveAndRestart": "Gardar e Reiniciar",
+  "copyConfig": "Copiar Configuración"
+}
diff --git a/web/public/locales/gl/views/events.json b/web/public/locales/gl/views/events.json
new file mode 100644
index 000000000..c5c9cb67b
--- /dev/null
+++ b/web/public/locales/gl/views/events.json
@@ -0,0 +1,10 @@
+{
+  "alerts": "Alertas",
+  "detections": "Deteccións",
+  "allCameras": "Tódalas cámaras",
+  "timeline.aria": "Selecciona liña de tempo",
+  "motion": {
+    "only": "Só movemento",
+    "label": "Movemento"
+  }
+}
diff --git a/web/public/locales/gl/views/explore.json b/web/public/locales/gl/views/explore.json
new file mode 100644
index 000000000..6d381d8b9
--- /dev/null
+++ b/web/public/locales/gl/views/explore.json
@@ -0,0 +1,12 @@
+{
+  "documentTitle": "Explorar - Frigate",
+  "generativeAI": "IA xenerativa",
+  "exploreMore": "Explorar máis obxectos {{label}}",
+  "exploreIsUnavailable": {
+    "title": "Explorar non está Dispoñible",
+    "embeddingsReindexing": {
+      "finishingShortly": "Rematando ceo",
+      "startingUp": "Comezando…"
+    }
+  }
+}
diff --git a/web/public/locales/gl/views/exports.json b/web/public/locales/gl/views/exports.json
new file mode 100644
index 000000000..0b996665b
--- /dev/null
+++ b/web/public/locales/gl/views/exports.json
@@ -0,0 +1,10 @@
+{
+  "documentTitle": "Exportar - Frigate",
+  "search": "Pesquisar",
+  "deleteExport.desc": "Seguro que queres borrar {{exportName}}?",
+  "editExport": {
+    "saveExport": "Garda exportación"
+  },
+  "deleteExport": "Borrar exportación",
+  "noExports": "Non se atoparon exportacións"
+}
diff --git a/web/public/locales/gl/views/faceLibrary.json b/web/public/locales/gl/views/faceLibrary.json
new file mode 100644
index 000000000..d98ab1cfd
--- /dev/null
+++ b/web/public/locales/gl/views/faceLibrary.json
@@ -0,0 +1,11 @@
+{
+  "description": {
+    "addFace": "Navegar para engadir unha nova colección á Libraría de Caras.",
+    "placeholder": "Introduce un nome para esta colección",
+    "invalidName": "Nome non válido. Os nomes só poden incluír letras, números, espazos, apóstrofes, guións baixos e guións."
+  },
+  "details": {
+    "unknown": "Descoñecido",
+    "person": "Persoa"
+  }
+}
diff --git a/web/public/locales/gl/views/live.json b/web/public/locales/gl/views/live.json
new file mode 100644
index 000000000..4ae0e6a0d
--- /dev/null
+++ b/web/public/locales/gl/views/live.json
@@ -0,0 +1,19 @@
+{
+  "documentTitle": "Directo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Directo - Frigate",
+  "twoWayTalk": {
+    "disable": "Deshabilita a Conversa de dous sentidos",
+    "enable": "Habilitar a Conversa de dous sentidos"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Pincha no frame para centrar a cámara"
+      }
+    }
+  },
+  "cameraAudio": {
+    "enable": "Habilitar Audio de cámara"
+  },
+  "lowBandwidthMode": "Modo de Baixa Banda Ancha"
+}
diff --git a/web/public/locales/gl/views/recording.json b/web/public/locales/gl/views/recording.json
new file mode 100644
index 000000000..26a3ed22f
--- /dev/null
+++ b/web/public/locales/gl/views/recording.json
@@ -0,0 +1,11 @@
+{
+  "filter": "Filtrar",
+  "export": "Exportar",
+  "calendar": "Calendario",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Rango de tempo inválido"
+    }
+  },
+  "filters": "Filtros"
+}
diff --git a/web/public/locales/gl/views/search.json b/web/public/locales/gl/views/search.json
new file mode 100644
index 000000000..3a90cf013
--- /dev/null
+++ b/web/public/locales/gl/views/search.json
@@ -0,0 +1,15 @@
+{
+  "search": "Pesquisar",
+  "savedSearches": "Pesquisas gardadas",
+  "button": {
+    "save": "Gardar pesquisa",
+    "filterActive": "Filtros activos",
+    "clear": "Borrar pesquisa"
+  },
+  "filter": {
+    "label": {
+      "cameras": "Cámaras"
+    }
+  },
+  "searchFor": "Procurar por {{inputValue}}"
+}
diff --git a/web/public/locales/gl/views/settings.json b/web/public/locales/gl/views/settings.json
new file mode 100644
index 000000000..6a68c2c05
--- /dev/null
+++ b/web/public/locales/gl/views/settings.json
@@ -0,0 +1,11 @@
+{
+  "documentTitle": {
+    "default": "Preferencias - Frigate",
+    "authentication": "Configuracións de Autenticación - Frigate",
+    "camera": "Configuracións da Cámara - Frigate",
+    "general": "Configuracións xerais - Frigate",
+    "notifications": "Configuración de Notificacións - Frigate",
+    "enrichments": "Configuración complementarias - Frigate",
+    "masksAndZones": "Editor de máscaras e zonas - Frigate"
+  }
+}
diff --git a/web/public/locales/gl/views/system.json b/web/public/locales/gl/views/system.json
new file mode 100644
index 000000000..55c595b9b
--- /dev/null
+++ b/web/public/locales/gl/views/system.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": {
+    "cameras": "Estatísticas de cámaras - Frigate",
+    "storage": "Estatísticas de Almacenamento - Frigate",
+    "general": "Estatísticas Xerais - Frigate",
+    "enrichments": "Estatísticas complementarias - Frigate",
+    "logs": {
+      "frigate": "Rexistros de Frigate - Frigate"
+    }
+  },
+  "title": "Sistema",
+  "logs": {
+    "download": {
+      "label": "Descargar logs"
+    }
+  }
+}
diff --git a/web/public/locales/he/audio.json b/web/public/locales/he/audio.json
new file mode 100644
index 000000000..f7369853c
--- /dev/null
+++ b/web/public/locales/he/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "דיבור",
+  "babbling": "ממלמל",
+  "yell": "לצעוק",
+  "bellow": "מתחת",
+  "whoop": "יבבה",
+  "whispering": "לוחש",
+  "crying": "בוכה",
+  "sigh": "אנחה",
+  "singing": "שר",
+  "choir": "מקהלה",
+  "yodeling": "יודלינג",
+  "chant": "לשיר",
+  "mantra": "מנטרה",
+  "child_singing": "ילד שר",
+  "synthetic_singing": "שירה סינתטית",
+  "rapping": "ראפ",
+  "humming": "זמזום",
+  "groan": "אנקה",
+  "grunt": "לנחור",
+  "whistling": "שריקה",
+  "breathing": "נשימה",
+  "wheeze": "גניחה",
+  "snoring": "נחירה",
+  "gasp": "להתנשף",
+  "pant": "להתנשם",
+  "snort": "שאיפה",
+  "cough": "שיעול",
+  "throat_clearing": "גרגור גרון",
+  "sneeze": "עיטוש",
+  "sniff": "לרחרח",
+  "run": "רץ",
+  "snicker": "לצחקק",
+  "laughter": "צחוק",
+  "organ": "אורגן",
+  "shuffle": "ערבוב",
+  "footsteps": "צעדים",
+  "chewing": "לְעִיסָה",
+  "biting": "נשיכה",
+  "gargling": "גרגור",
+  "stomach_rumble": "קרקור בטן",
+  "burping": "גיהוק",
+  "hiccup": "שיהוק",
+  "fart": "פלוץ",
+  "hands": "ידיים",
+  "finger_snapping": "לחיצה באצבעות",
+  "clapping": "מחיאת כף",
+  "dog": "כלב",
+  "bark": "נביחה",
+  "cat": "חתול",
+  "horse": "סוס",
+  "sheep": "כבשה",
+  "goat": "עז",
+  "pigeon": "יונה",
+  "bird": "ציפור",
+  "coo": "קו",
+  "crow": "עורב",
+  "caw": "קאו",
+  "owl": "ינשוף",
+  "hoot": "צפירה.",
+  "flapping_wings": "כנפיים מתנפנפות",
+  "dogs": "כלבים",
+  "rats": "חולדות",
+  "mouse": "עכבר",
+  "patter": "תבנית",
+  "insect": "חרק",
+  "cricket": "קריקט",
+  "mosquito": "יתוש",
+  "fly": "זבוב",
+  "buzz": "זמזם.",
+  "frog": "צפרדע",
+  "croak": "קרקור.",
+  "snake": "נחש",
+  "rattle": "טרטור",
+  "whale_vocalization": "קולות לוויתן",
+  "music": "מוזיקה",
+  "musical_instrument": "כלי נגינה",
+  "plucked_string_instrument": "כלי מיתר פריטה",
+  "guitar": "גיטרה",
+  "electric_guitar": "גיטרה חשמלית",
+  "bass_guitar": "גיטרה בס",
+  "acoustic_guitar": "גיטרה אקוסטית",
+  "steel_guitar": "גיטרה פלדה",
+  "tapping": "הקשה.",
+  "strum": "פריטה",
+  "banjo": "בנג'ו",
+  "sitar": "סיטאר",
+  "mandolin": "מנדולינה",
+  "zither": "צִיתָר",
+  "ukulele": "יוקליילי",
+  "keyboard": "לוח מקשים",
+  "piano": "פסנתר",
+  "electric_piano": "פסנתר חשמלי",
+  "electronic_organ": "אורגן חשמלי",
+  "hammond_organ": "עוגב המונד",
+  "synthesizer": "סינתיסייזר",
+  "sampler": "דגם",
+  "harpsichord": "צֶ'מבָּלוֹ",
+  "percussion": "הַקָשָׁה",
+  "boat": "סירה",
+  "car": "מכונית",
+  "motorcycle": "אופנוע",
+  "bus": "אוטובוס",
+  "bicycle": "אופניים",
+  "train": "למד פנים",
+  "skateboard": "סקייטבורד",
+  "camera": "מצלמה",
+  "howl": "יללה",
+  "bow_wow": "באו וואו",
+  "growling": "נהמה",
+  "whimper_dog": "יבבת כלבים",
+  "purr": "לגרגר",
+  "meow": "מיאו",
+  "hiss": "לחישה",
+  "caterwaul": "קטרוואל",
+  "livestock": "בעלי חיים",
+  "clip_clop": "קליפ קלופ",
+  "neigh": "צהלה",
+  "cattle": "בקר",
+  "door": "דלת",
+  "heartbeat": "דופק",
+  "heart_murmur": "אוושת לב",
+  "applause": "תשואות",
+  "chatter": "פטפוטים",
+  "crowd": "קהל",
+  "children_playing": "ילדים משחקים",
+  "animal": "חיה",
+  "pets": "חיות מחמד",
+  "cheering": "תשואות",
+  "yip": "ייפ",
+  "moo": "מוו",
+  "cowbell": "פעמון פרה",
+  "pig": "חזיר",
+  "oink": "אוינק",
+  "bleat": "פעייה",
+  "fowl": "עוף.",
+  "chicken": "עוף",
+  "cluck": "קרקור",
+  "cock_a_doodle_doo": "קוק-א-דודל-דו",
+  "turkey": "הודו",
+  "gobble": "זלילה",
+  "duck": "ברווז",
+  "quack": "קוואק",
+  "goose": "אווז",
+  "honk": "צפירה",
+  "wild_animals": "חיית פרא",
+  "roaring_cats": "חתולים שואגים",
+  "roar": "שאגה",
+  "chirp": "ציוץ",
+  "squawk": "צווחה",
+  "drum_kit": "מערכת תופים",
+  "drum_machine": "מכונת תופים",
+  "drum": "תופים",
+  "snare_drum": "תוף סנר",
+  "rimshot": "רימשוט",
+  "drum_roll": "תוף רול",
+  "bass_drum": "תופים בס",
+  "timpani": "טימפאני",
+  "tabla": "טבלה",
+  "cymbal": "מצילה",
+  "hi_hat": "היי-האט",
+  "wood_block": "בול עץ",
+  "tambourine": "טמבורין",
+  "maraca": "מרקה",
+  "gong": "גונג",
+  "tubular_bells": "פעמונים צינוריים",
+  "mallet_percussion": "כלי הקשה מסוג פטיש",
+  "marimba": "מרימבה",
+  "glockenspiel": "גלוקנשפיל",
+  "vibraphone": "ויברפון",
+  "steelpan": "פלדה-פאן",
+  "orchestra": "תזמורת",
+  "brass_instrument": "כלי נשיפה ממתכת",
+  "french_horn": "צופר צרפתי",
+  "trumpet": "חצוצרה",
+  "trombone": "טרומבון",
+  "bowed_string_instrument": "כלי קשת",
+  "string_section": "מקטע מחרוזות",
+  "violin": "כינור",
+  "pizzicato": "פיציקטו",
+  "cello": "צ'לו",
+  "double_bass": "בס כפול",
+  "wind_instrument": "כלי נשיפה",
+  "flute": "חליל",
+  "saxophone": "סקסופון",
+  "clarinet": "קלרינט",
+  "harp": "נבל",
+  "bell": "פעמון",
+  "church_bell": "פעמון כנסיה",
+  "jingle_bell": "ג'ינגל בל",
+  "bicycle_bell": "פעמון אופניים",
+  "chime": "צלצול",
+  "wind_chime": "פעמון רוח",
+  "harmonica": "הרמוניקה",
+  "accordion": "אקורדיון",
+  "bagpipes": "חלילים",
+  "didgeridoo": "דיג'רידו",
+  "theremin": "תרמין",
+  "singing_bowl": "קערת שירה",
+  "scratching": "גירוד",
+  "pop_music": "מוזיקת פופ",
+  "hip_hop_music": "מוזיקת היפ הופ",
+  "beatboxing": "ביטבוקסינג",
+  "rock_music": "מוזיקת רוק",
+  "heavy_metal": "מיטל כבד",
+  "punk_rock": "מוזיקת פאנק",
+  "grunge": "גראנג'",
+  "progressive_rock": "רוק פרוגרסיב",
+  "rock_and_roll": "רוקנרול",
+  "psychedelic_rock": "רוק פסיכדלי",
+  "rhythm_and_blues": "רית'ם אנד בלוז",
+  "soul_music": "מוזיקת סול",
+  "reggae": "רגיי",
+  "country": "קאונטרי",
+  "swing_music": "מוזיקת סווינג",
+  "bluegrass": "בלוגראס",
+  "funk": "פאנק",
+  "folk_music": "מוזיקת פולק",
+  "middle_eastern_music": "מוזיקה ים תיכונית",
+  "opera": "אופרה",
+  "jazz": "ג'אז",
+  "disco": "דיסקו",
+  "classical_music": "מוזיקה קלאסית",
+  "electronic_music": "מוזיקה אלקטרונית",
+  "house_music": "מוזיקת האוס",
+  "techno": "טכנו",
+  "dubstep": "דאבסטפ",
+  "drum_and_bass": "דראם אנד בס",
+  "electronica": "אלקטרוניקה",
+  "electronic_dance_music": "מוזיקת ריקוד אלקטרונית",
+  "ambient_music": "מוזיקת אמביינט",
+  "flamenco": "פלמנקו",
+  "trance_music": "מוזיקת טראנס",
+  "music_of_latin_america": "מוזיקה לטינית",
+  "salsa_music": "מוזיקת סלסה",
+  "blues": "בלוז",
+  "music_for_children": "מוזיקת ילדים",
+  "new-age_music": "מוזיקת ניו אייג'",
+  "vocal_music": "מוזיקה ווקאלית",
+  "a_capella": "קאפלה",
+  "music_of_africa": "מוזיקה אפריקאית",
+  "afrobeat": "אפרוביט",
+  "christian_music": "מוזיקה נוצרית",
+  "gospel_music": "מוזיקת גוספל",
+  "music_of_asia": "מוזיקה אסייתית",
+  "carnatic_music": "מוזיקה קרנטית",
+  "music_of_bollywood": "מוזיקה בוליווד",
+  "ska": "סקא",
+  "traditional_music": "מוזיקה מסורתית",
+  "independent_music": "מחיקת המשתמש נכשלה: {{errorMessage}}",
+  "song": "שיר",
+  "background_music": "מוזיקת רקע",
+  "theme_music": "מוזיקת נושא",
+  "jingle": "ג'ינגל",
+  "soundtrack_music": "פסקול מוזיקה",
+  "lullaby": "שיר ערש",
+  "video_game_music": "מוזיקת משחקי וידיאו",
+  "christmas_music": "מוזיקת קריסמיס",
+  "dance_music": "מוזיקת ריקודים",
+  "wedding_music": "מוזיקת חתונות",
+  "happy_music": "מוזיקה שמחה",
+  "sad_music": "מוזיקה עצובה",
+  "tender_music": "מוזיקה עדינה",
+  "exciting_music": "מוזיקה מרגשת",
+  "angry_music": "מוזיקה כועסת",
+  "scary_music": "מוזיקה מפחידה",
+  "wind": "רוח",
+  "rustling_leaves": "רשרוש עלים",
+  "wind_noise": "רעש רוח",
+  "thunderstorm": "סופת רעמים",
+  "thunder": "רעם",
+  "water": "מים",
+  "rain": "גשם",
+  "rain_on_surface": "גשם על פני השטח",
+  "stream": "שידור",
+  "vehicle": "רכב",
+  "waterfall": "מפל",
+  "ocean": "ים",
+  "waves": "גלים",
+  "steam": "קיטור",
+  "gurgling": "גרגור",
+  "fire": "אש",
+  "crackle": "פיצוח",
+  "sailboat": "מפרשית",
+  "rowboat": "סירת משוטים",
+  "motorboat": "סירת מנוע",
+  "ship": "ספינה",
+  "motor_vehicle": "רכב ממונע",
+  "toot": "תקיעה",
+  "car_alarm": "אזעקת רכב",
+  "power_windows": "חלונות חשמליים",
+  "skidding": "החלקה",
+  "tire_squeal": "חריקת צמיגים",
+  "car_passing_by": "מכונית חולפת",
+  "race_car": "מכונית מרוץ",
+  "truck": "משאית",
+  "air_brake": "בלם אוויר",
+  "air_horn": "צופר אוויר",
+  "reversing_beeps": "צליל רוורס",
+  "ice_cream_truck": "אוטו גלידה",
+  "emergency_vehicle": "רכב חירום",
+  "police_car": "רכב משטרה",
+  "ambulance": "אמבולנס",
+  "fire_engine": "כבאית",
+  "traffic_noise": "רעש תנועה",
+  "rail_transport": "רכבת נוסעים",
+  "train_whistle": "שריקת רכבת",
+  "train_horn": "צופר רכבת",
+  "railroad_car": "קרון רכבת",
+  "train_wheels_squealing": "חריקת גלגלי הרכבת",
+  "subway": "רכבת תחתית",
+  "aircraft": "כלי טיס",
+  "aircraft_engine": "מנוע כלי טיס",
+  "jet_engine": "מנוע סילון",
+  "propeller": "פרופלור",
+  "helicopter": "מסוק",
+  "fixed-wing_aircraft": "מטוסים בעלי כנף קבועה",
+  "light_engine": "מנוע קל",
+  "engine": "מנוע",
+  "dental_drill's_drill": "מקדחת שיניים",
+  "lawn_mower": "מכסחת דשא",
+  "chainsaw": "מסור שרשרת",
+  "medium_engine": "מנוע בינוני",
+  "heavy_engine": "מנוע כבד",
+  "engine_knocking": "דפיקות מנוע",
+  "engine_starting": "מנוע מוצת",
+  "idling": "התבטלות",
+  "sink": "כיור",
+  "blender": "מערבל",
+  "accelerating": "מאיץ",
+  "doorbell": "פעמון דלת",
+  "ding-dong": "דינג דונג",
+  "sliding_door": "דלתות הזזה",
+  "knock": "דפיקה בדלת",
+  "tap": "הקשה",
+  "squeak": "חריקה",
+  "cupboard_open_or_close": "פתיחה או סגירה של ארון",
+  "cutlery": "סכו\"ם",
+  "chopping": "קצוץ",
+  "frying": "טיגון",
+  "microwave_oven": "מיקרוגל",
+  "water_tap": "ברז מים",
+  "bathtub": "אמבטיה",
+  "dishes": "כלים.",
+  "scissors": "מספריים",
+  "toothbrush": "מברשת שיניים",
+  "toilet_flush": "הורדת מים לאסלה",
+  "electric_toothbrush": "מברשת שיניים חשמלית",
+  "vacuum_cleaner": "שואב אבק",
+  "zipper": "רוכסן",
+  "coin": "מטבע",
+  "shuffling_cards": "ערבוב קלפים",
+  "typing": "הקלדה",
+  "typewriter": "מכונת כתיבה",
+  "computer_keyboard": "מקלדת מחשב",
+  "writing": "כתיבה",
+  "telephone_bell_ringing": "צלצול טלפון",
+  "ringtone": "צליל חיוג.",
+  "clock": "שעון",
+  "telephone_dialing": "טלפון מחייג",
+  "dial_tone": "צליל חיוג",
+  "busy_signal": "צליל תפוס",
+  "alarm_clock": "שעון מעורר",
+  "siren": "סירנה",
+  "civil_defense_siren": "סירנה של ההגנה האזרחית",
+  "buzzer": "זמזם",
+  "smoke_detector": "גלאי עשן",
+  "fire_alarm": "אזעקת אש",
+  "foghorn": "צופר ערפל",
+  "whistle": "שריקה",
+  "steam_whistle": "שריקת קיטור",
+  "mechanisms": "מכניקה",
+  "ratchet": "מַחגֵר",
+  "tick": "טיק",
+  "tick-tock": "טיק טוק",
+  "gears": "הילוכים",
+  "pulleys": "גלגלות",
+  "sewing_machine": "מְכוֹנַת תְפִירָה",
+  "mechanical_fan": "מאוורר מכני",
+  "air_conditioning": "מיזוג אוויר",
+  "cash_register": "קוּפָּה רוֹשֶׁמֶת",
+  "printer": "מדפסת",
+  "single-lens_reflex_camera": "מצלמת רפלקס עם עדשה יחידה",
+  "tools": "כלים",
+  "hammer": "פטיש",
+  "jackhammer": "פטיש אוויר",
+  "sawing": "מסור",
+  "filing": "הגשה",
+  "sanding": "שיוף",
+  "power_tool": "כלי חשמלי",
+  "drill": "מקדחה",
+  "explosion": "התפוצצות",
+  "gunshot": "יריה",
+  "machine_gun": "מכונת יריה",
+  "fusillade": "פוסילה",
+  "artillery_fire": "אש ארטילרית",
+  "cap_gun": "Cap Gun",
+  "fireworks": "זיקוקים",
+  "firecracker": "חזיז",
+  "burst": "הִתפָּרְצוּת",
+  "eruption": "התפרצות",
+  "boom": "בום",
+  "wood": "עץ",
+  "chop": "לקצוץ",
+  "splinter": "קיסם",
+  "crack": "סדק",
+  "glass": "זכוכית",
+  "chink": "סדוק",
+  "shatter": "ניפוץ",
+  "silence": "השתקה",
+  "sound_effect": "אפקט קול",
+  "environmental_noise": "רעש סביבתי",
+  "static": "סטטי",
+  "white_noise": "רעש לבן",
+  "pink_noise": "רעש ורוד",
+  "radio": "רדיו",
+  "field_recording": "רישום שדה",
+  "scream": "צרחה",
+  "drawer_open_or_close": "מגירה פתוחה או סגורה",
+  "alarm": "אזעקה",
+  "television": "טלוויזיה",
+  "electric_shaver": "מכונת גילוח חשמלית",
+  "keys_jangling": "צלצול מפתחות",
+  "hair_dryer": "מייבש שיער",
+  "slam": "טריקה",
+  "telephone": "טלפון",
+  "tuning_fork": "מזלג כוונון",
+  "raindrop": "טיפות גשם"
+}
diff --git a/web/public/locales/he/common.json b/web/public/locales/he/common.json
new file mode 100644
index 000000000..e6c1d632f
--- /dev/null
+++ b/web/public/locales/he/common.json
@@ -0,0 +1,265 @@
+{
+  "time": {
+    "justNow": "כעת",
+    "untilForRestart": "עד לאתחול של Frigate.",
+    "untilRestart": "עד לאתחול",
+    "ago": "לפני {{timeAgo}}",
+    "today": "היום",
+    "untilForTime": "עד:{{time}}",
+    "last30": "30 ימים אחרונים",
+    "last14": "14 ימים אחרונים",
+    "year_one": "{{time}} שנה",
+    "year_two": "{{time}} שנים",
+    "year_other": "{{time}} שנים",
+    "last7": "7 ימים אחרונים",
+    "lastMonth": "חודש שעבר",
+    "10minutes": "10 דקות",
+    "yesterday": "אתמול",
+    "thisWeek": "השבוע",
+    "lastWeek": "שבוע שעבר",
+    "1hour": "שעה",
+    "12hours": "12 שעות",
+    "24hours": "24 שעות",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}שנה",
+    "mo": "{{time}}חודש",
+    "d": "{{time}}יום",
+    "month_one": "{{time}} חודש",
+    "month_two": "{{time}} חודשים",
+    "month_other": "{{time}} חודשים",
+    "h": "{{time}}שעה",
+    "day_one": "{{time}} יום",
+    "day_two": "{{time}} ימים",
+    "day_other": "{{time}} ימים",
+    "hour_one": "{{time}} שעה",
+    "hour_two": "{{time}} שעות",
+    "hour_other": "{{time}} שעות",
+    "m": "{{time}}דקות",
+    "minute_one": "{{time}} דקה",
+    "minute_two": "{{time}} דקות",
+    "minute_other": "{{time}} דקות",
+    "s": "{{time}}שניה",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "second_one": "{{time}} שניה",
+    "second_two": "{{time}} שניות",
+    "second_other": "{{time}} שניות",
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "h:mm:ss aaa"
+    },
+    "5minutes": "5 דקות",
+    "formattedTimestampMonthDayYear": {
+      "24hour": "MMM d, yyyy",
+      "12hour": "MMM d, yyyy"
+    },
+    "30minutes": "30 דקות",
+    "thisMonth": "החודש"
+  },
+  "unit": {
+    "speed": {
+      "kph": "קמ\"ש",
+      "mph": "מייל לשעה"
+    },
+    "length": {
+      "feet": "רגל",
+      "meters": "מטרים"
+    }
+  },
+  "label": {
+    "back": "אחורה"
+  },
+  "button": {
+    "apply": "החל",
+    "reset": "איפוס",
+    "done": "בוצע",
+    "enabled": "מאופשר",
+    "enable": "אפשר",
+    "disabled": "מבוטל",
+    "disable": "בטל",
+    "save": "שמירה",
+    "saving": "שומר…",
+    "back": "חזרה",
+    "close": "סגירה",
+    "cancel": "ביטול",
+    "copy": "העתקה",
+    "twoWayTalk": "דיבור דו כיווני",
+    "exitFullscreen": "יציאה ממסך מלא",
+    "pictureInPicture": "תמונה בתוך תמונה",
+    "cameraAudio": "קול ממצלמה",
+    "off": "כבוי",
+    "edit": "עריכה",
+    "copyCoordinates": "העתקת קואורדינטות",
+    "delete": "מחיקה",
+    "yes": "כן",
+    "no": "לא",
+    "suspended": "מושהה",
+    "unsuspended": "ביטול השהייה",
+    "play": "ניגון",
+    "unselect": "בטל בחירה",
+    "export": "ייצוא",
+    "deleteNow": "מחיקה כעת",
+    "fullscreen": "מסך מלא",
+    "history": "היסטוריה",
+    "on": "פעיל",
+    "download": "הורדה",
+    "info": "מידע",
+    "next": "הבא"
+  },
+  "menu": {
+    "system": "מערכת",
+    "systemMetrics": "מדדי מערכת",
+    "configuration": "תצורת מערכת",
+    "systemLogs": "לוגים מערכת",
+    "settings": "הגדרות",
+    "configurationEditor": "עריכת תצורה",
+    "languages": "שפות",
+    "language": {
+      "en": "English (English)",
+      "es": "ספרדית",
+      "fr": "צרפתית",
+      "ar": "ערבית",
+      "pt": "פורטוגזית",
+      "it": "איטלקית",
+      "nl": "הולנדית",
+      "sv": "שוודית",
+      "cs": "צ'כית",
+      "nb": "נורווגית",
+      "ko": "קוריאנית",
+      "vi": "ויטנאמית",
+      "fa": "פרסית",
+      "pl": "פולנית",
+      "uk": "אוקראינית",
+      "he": "עברית",
+      "el": "יוונית",
+      "ro": "רומנית",
+      "hu": "הונגרית",
+      "fi": "פינית",
+      "da": "דנית",
+      "withSystem": {
+        "label": "השתמש בהגדרות המערכת עבור השפה"
+      },
+      "sk": "סלובקית",
+      "th": "תאילנדית",
+      "zhCN": "סינית פשוטה",
+      "tr": "טורקית",
+      "hi": "הודית",
+      "ru": "רוסית",
+      "ja": "יפנית",
+      "de": "גרמנית",
+      "yue": "קנטונזית",
+      "ca": "קטלה (קטלאנית)"
+    },
+    "appearance": "מראה.",
+    "darkMode": {
+      "label": "מצב כהה",
+      "light": "בהיר",
+      "dark": "כהה",
+      "withSystem": {
+        "label": "השתמש בהגדרות המערכת עבור מצב בהיר או כהה"
+      }
+    },
+    "withSystem": "מערכת",
+    "theme": {
+      "label": "ערכת נושא",
+      "blue": "כחול",
+      "green": "ירוק",
+      "nord": "נורד",
+      "red": "אדום",
+      "highcontrast": "ניגודיות גבוהה",
+      "default": "ברירת מחדל"
+    },
+    "review": "סקירה",
+    "explore": "עיון",
+    "help": "עזרה",
+    "documentation": {
+      "title": "תיעוד",
+      "label": "תיעוד Frigate"
+    },
+    "restart": "הפעלה מחדש",
+    "live": {
+      "title": "שידור חי",
+      "cameras": {
+        "title": "מצלמות",
+        "count_one": "{{count}} מצלמה",
+        "count_two": "{{count}} מצלמות",
+        "count_other": "{{count}} מצלמות"
+      },
+      "allCameras": "כל המצלמות"
+    },
+    "export": "ייצוא",
+    "uiPlayground": "ממשק משתמש",
+    "faceLibrary": "ספריית זיהוי פנים",
+    "user": {
+      "account": "חשבון",
+      "anonymous": "אנונימי",
+      "logout": "ניתוק",
+      "current": "משתמש מחובר: {{user}}",
+      "setPassword": "קביעת סיסמה",
+      "title": "משתמש"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "כתובת האתר המועתקת.",
+    "save": {
+      "title": "שמירה",
+      "error": {
+        "noMessage": "שמירת שינויי התצורה נכשלה",
+        "title": "נכשל בניסיון לשמור את ההגדרות: {{errorMessage}}"
+      }
+    }
+  },
+  "role": {
+    "title": "הרשאה",
+    "admin": "מנהל",
+    "viewer": "צופה",
+    "desc": "למנהלי מערכת יש גישה מלאה לכל התכונות בממשק המשתמש של Frigate. הצופים מוגבלים לצפייה במצלמות, סקירת פריטים וצילומים היסטוריים בממשק המשתמש."
+  },
+  "pagination": {
+    "next": {
+      "title": "הבא",
+      "label": "עבור לדף הבא"
+    },
+    "label": "דפדוף",
+    "previous": {
+      "title": "הקודם",
+      "label": "עבור לדף הקודם"
+    },
+    "more": "דפים נוספים"
+  },
+  "accessDenied": {
+    "title": "הגישה נדחתה",
+    "desc": "אין לך הרשאה לצפות בדף הזה.",
+    "documentTitle": "גישה נדחתה - Frigate"
+  },
+  "notFound": {
+    "documentTitle": "לא נמצא - Frigate",
+    "title": "404",
+    "desc": "דף לא נמצא"
+  },
+  "selectItem": "בחירה:{{item}}"
+}
diff --git a/web/public/locales/he/components/auth.json b/web/public/locales/he/components/auth.json
new file mode 100644
index 000000000..17b28cba1
--- /dev/null
+++ b/web/public/locales/he/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "שם משתמש",
+    "password": "סיסמה",
+    "login": "התחברות",
+    "errors": {
+      "usernameRequired": "נדרש שם משתמש",
+      "passwordRequired": "דרושה סיסמה",
+      "unknownError": "שגיאה לא ידועה. בדוק את הלוגים.",
+      "webUnknownError": "שגיאה לא ידועה, בדוק את הלוגים.",
+      "rateLimit": "חרגת מהמגבלת בקשות. נסה שוב מאוחר יותר.",
+      "loginFailed": "ההתחברות נכשלה"
+    }
+  }
+}
diff --git a/web/public/locales/he/components/camera.json b/web/public/locales/he/components/camera.json
new file mode 100644
index 000000000..f9de9a6c1
--- /dev/null
+++ b/web/public/locales/he/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "קבוצת מצלמות",
+    "camera": {
+      "setting": {
+        "streamMethod": {
+          "method": {
+            "smartStreaming": {
+              "desc": "שידור חכם יעדכן את תמונת המצלמה פעם בדקה כאשר לא מתרחשת פעילות ניתנת לזיהוי כדי לחסוך רוחב פס ומשאבים. כאשר מזוהה פעילות, התמונה עוברת בצורה חלקה לשידור חי.",
+              "label": "שידור חכם (מומלץ)"
+            },
+            "noStreaming": {
+              "label": "אין שידור",
+              "desc": "תמונות המצלמה יתעדכנו רק פעם בדקה ולא יתבצע שידור חי."
+            },
+            "continuousStreaming": {
+              "label": "שידור רציף",
+              "desc": {
+                "title": "תמונת המצלמה תמיד תהיה שידור חי כאשר היא גלויה בדשבורד, גם אם לא זוהתה פעילות.",
+                "warning": "שידור רציף עלול לגרום לשימוש גבוה ברוחב פס ובעיות ביצועים. יש להשתמש בזהירות."
+              }
+            }
+          },
+          "label": "שיטת שידור",
+          "placeholder": "בחירת שיטת שידור"
+        },
+        "title": "הגדרות סטרימינג של {{cameraName}}",
+        "label": "הגדרות זרם מצלמה",
+        "desc": "שנה את אפשרויות הסטרימינג בשידור חי עבור לוח המחוונים של קבוצת מצלמות זו. <em>הגדרות אלו ספציפיות למכשיר/דפדפן.</em>",
+        "audioIsAvailable": "קול זמין עבור שידור זה",
+        "audioIsUnavailable": "קול לא זמין לזרם זה",
+        "audio": {
+          "tips": {
+            "title": "יש להפיק קול מהמצלמה שלך ולהגדיר אותו ב-go2rtc עבור שידור זה.",
+            "document": "קרא את התיעוד "
+          }
+        },
+        "stream": "זרם",
+        "placeholder": "בחירת זרם",
+        "compatibilityMode": {
+          "label": "מצב תאימות",
+          "desc": "הפעל אפשרות זו רק אם השידור החי של המצלמה שלך מציג עיוותים בצבע ויש לו קו אלכסוני בצד ימין של התמונה."
+        }
+      }
+    },
+    "edit": "ערכית קבוצת מצלמות",
+    "delete": {
+      "label": "מחיקת קבוצת מצלמות",
+      "confirm": {
+        "title": "אישור מחיקה",
+        "desc": "האם אתה בטוח שברצונך למחוק את קבוצת המצלמות <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "שם",
+      "placeholder": "הכנס שם…",
+      "errorMessage": {
+        "mustLeastCharacters": "שם קבוצת המצלמות חייב להיות בן 2 תווים לפחות.",
+        "exists": "שם קבוצת המצלמות כבר קיים.",
+        "nameMustNotPeriod": "שם קבוצת המצלמות אינו יכול להכיל נקודה.",
+        "invalid": "שם קבוצת מצלמות לא חוקי."
+      }
+    },
+    "cameras": {
+      "label": "מצלמות",
+      "desc": "בחירת מצלמות עבור קבוצה זו."
+    },
+    "icon": "אייקון",
+    "success": "קבוצת המצלמות ({{name}}) נשמרה.",
+    "add": "הוספת קבוצת מצלמות"
+  },
+  "debug": {
+    "options": {
+      "label": "הגדרות",
+      "title": "אפשרויות",
+      "showOptions": "הצג אפשרויות",
+      "hideOptions": "הסתר אפשרויות"
+    },
+    "boundingBox": "תיבת זיהוי",
+    "zones": "אזורים",
+    "mask": "מיסוך",
+    "motion": "תנועה",
+    "timestamp": "חותמת זמן",
+    "regions": "אזורים"
+  }
+}
diff --git a/web/public/locales/he/components/dialog.json b/web/public/locales/he/components/dialog.json
new file mode 100644
index 000000000..472d3d541
--- /dev/null
+++ b/web/public/locales/he/components/dialog.json
@@ -0,0 +1,114 @@
+{
+  "restart": {
+    "title": "האם אתה בטוח שברצונך להפעיל מחדש את Frigate?",
+    "button": "הפעלה מחדש - Frigate",
+    "restarting": {
+      "title": "Frigate מופעל מחדש כעת",
+      "content": "דף זה ייטען מחדש בעוד {{countdown}} שניות.",
+      "button": "אילוץ טעינה מחדש"
+    }
+  },
+  "export": {
+    "toast": {
+      "error": {
+        "endTimeMustAfterStartTime": "שעת הסיום חייבת להיות אחרי שעת ההתחלה",
+        "failed": "נכשל בהתחלת הייצוא: {{error}}",
+        "noVaildTimeSelected": "לא נבחר טווח זמן תקף"
+      },
+      "success": "הייצוא הוחל בהצלחה. הצג את הקובץ בתיקייה /ייצוא."
+    },
+    "time": {
+      "end": {
+        "label": "בחירת זמן סיום",
+        "title": "זמן סיום"
+      },
+      "fromTimeline": "בחירה מציר זמן",
+      "lastHour_one": "שעה אחרונה",
+      "lastHour_two": "שעות אחרונות {{count}}",
+      "lastHour_other": "שעות אחרונות {{count}}",
+      "custom": "מותאם אישית",
+      "start": {
+        "title": "זמן התחלה",
+        "label": "בחירת זמן התחלה"
+      }
+    },
+    "selectOrExport": "בחירה או ייצוא",
+    "name": {
+      "placeholder": "תן שם לייצוא"
+    },
+    "select": "בחירה",
+    "export": "ייצוא",
+    "fromTimeline": {
+      "saveExport": "שמירת ייצוא",
+      "previewExport": "תצוגה מקדימה של ייצוא"
+    }
+  },
+  "streaming": {
+    "restreaming": {
+      "desc": {
+        "title": "הגדר את go2rtc לקבלת אפשרויות נוספות של תצוגה חיה ושמע עבור מצלמה זו.",
+        "readTheDocumentation": "קרא את התיעוד"
+      },
+      "disabled": "הזרמה מחדש אינה פעילה עבור מצלמה זו."
+    },
+    "label": "זרם",
+    "showStats": {
+      "label": "הצג סטטיסטיקות שידור",
+      "desc": "הפעל אפשרות זו כדי להציג סטטיסטיקות שידור כשכבת-על על פיד המצלמה."
+    },
+    "debugView": "תצוגת ניפוי שגיאות"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "העלה ל- +Frigate",
+        "desc": "אובייקטים במיקומים שברצונך להימנע מהם אינם תוצאות חיוביות שגויות. הגשתם כתוצאות חיוביות שגויות תבלבל את המודל."
+      },
+      "review": {
+        "question": {
+          "label": "אשר תווית זו עבור +Frigate",
+          "ask_a": "האם אובייקט זה הוא <code>{{label}}</code>?",
+          "ask_an": "האם אובייקט זה הוא - <code>{{label}}</code>?",
+          "ask_full": "האם אובייקט זה הוא <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "נשלח"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "צפה בהיסטוריה"
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "שמירת חיפוש",
+      "desc": "ספק שם לחיפוש שמור זה.",
+      "placeholder": "הזן שם לחיפוש שלך",
+      "success": "החיפוש ({{searchName}}) נשמר.",
+      "button": {
+        "save": {
+          "label": "שמירת החיפוש הזה"
+        }
+      },
+      "overwrite": "{{searchName}} כבר קיים. שמירה תדרוס את הערך הקיים."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "אישור מחיקה",
+      "desc": {
+        "selected": "האם אתה בטוח שברצונך למחוק את כל הסרטונים המוקלטים המשויכים לפריט סקירה זה?<br /><br />החזק את מקש <em>Shift</em> לחוץ כדי לעקוף תיבת דו-שיח זו בעתיד."
+      },
+      "toast": {
+        "success": "קטעי וידאו המשויכים לפריטי הסקירה שנבחרו נמחקו בהצלחה.",
+        "error": "המחיקה נכשלה: {{error}}"
+      }
+    },
+    "button": {
+      "export": "ייצוא",
+      "markAsReviewed": "סמן כסוקר",
+      "deleteNow": "מחיקה כעת"
+    }
+  }
+}
diff --git a/web/public/locales/he/components/filter.json b/web/public/locales/he/components/filter.json
new file mode 100644
index 000000000..2316722ca
--- /dev/null
+++ b/web/public/locales/he/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "לסנן",
+  "features": {
+    "submittedToFrigatePlus": {
+      "tips": "עליך תחילה לסנן לפי אובייקטים במעקב שיש להם תמונת מצב.<br /><br />לא ניתן לשלוח ל-Frigate+ אובייקטים במעקב ללא תמונת מצב.",
+      "label": "העלאה ל- +Frigate"
+    },
+    "label": "מאפיינים",
+    "hasVideoClip": "קיים סרטון",
+    "hasSnapshot": "קיימת לכידת תמונה"
+  },
+  "labels": {
+    "label": "תוויות",
+    "all": {
+      "title": "כל התוויות",
+      "short": "תוויות"
+    },
+    "count_one": "{{count}} תווית",
+    "count_other": "{{count}} תוויות"
+  },
+  "zones": {
+    "label": "איזורים",
+    "all": {
+      "title": "כל האזורים",
+      "short": "אזורים"
+    }
+  },
+  "dates": {
+    "selectPreset": "בחר פריסט…",
+    "all": {
+      "title": "כל התאריכים",
+      "short": "תאריכים"
+    }
+  },
+  "more": "מסננים נוספים",
+  "reset": {
+    "label": "איפוס מסננים לערכי ברירת מחדל"
+  },
+  "timeRange": "טווח זמן",
+  "subLabels": {
+    "label": "תוויות משנה",
+    "all": "כל תוויות המשנה"
+  },
+  "score": "ציון",
+  "estimatedSpeed": "מהירות משוערת ({{unit}})",
+  "sort": {
+    "label": "מיון",
+    "dateAsc": "תאריך (עולה)",
+    "dateDesc": "תאריך (יורד)",
+    "scoreAsc": "ציון אובייקט (עולה)",
+    "scoreDesc": "ציון אובייקט (יורד)",
+    "speedAsc": "מהירות משוערת (עולה)",
+    "speedDesc": "מהירות משוערת (יורד)",
+    "relevance": "רלוונטיות"
+  },
+  "cameras": {
+    "label": "מסנן מצלמות",
+    "all": {
+      "title": "כל המצלמות",
+      "short": "מצלמות"
+    }
+  },
+  "review": {
+    "showReviewed": "הצג פריטים שנבדקו"
+  },
+  "motion": {
+    "showMotionOnly": "הצגת תנועה בלבד"
+  },
+  "explore": {
+    "settings": {
+      "title": "הגדרות",
+      "defaultView": {
+        "summary": "סיכום",
+        "unfilteredGrid": "תצוגה מלאה",
+        "title": "תצוגת ברירת מחדל",
+        "desc": "כאשר לא נבחרו מסננים, הצג סיכום של האובייקטים האחרונים שעברו מעקב לפי תווית, או הצג רשת לא מסוננת."
+      },
+      "gridColumns": {
+        "title": "עמודות גריד",
+        "desc": "בחר את מספר העמודות בגריד."
+      },
+      "searchSource": {
+        "label": "מקור חיפוש",
+        "desc": "בחר אם לחפש בתמונות הממוזערות או בתיאורים של האובייקטים שבמעקב.",
+        "options": {
+          "thumbnailImage": "תמונה ממוזערת",
+          "description": "תיאור"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "בחר תאריך לפיו יבוצע הסינון"
+      }
+    }
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "אובייקטים במעקב נמחקו בהצלחה.",
+      "error": "מחיקת אובייקטים במעקב נכשלה: {{errorMessage}}"
+    },
+    "title": "אישור מחיקה",
+    "desc": "מחיקת אובייקטים אלה שעברו מעקב ({{objectLength}}) מסירה את לכידת התמונה, כל ההטמעות שנשמרו וכל ערכי שלבי האובייקט המשויכים. קטעי וידאו מוקלטים של אובייקטים אלה שעברו מעקב בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?<br /><br />החזק את מקש <em>Shift</em> כדי לעקוף תיבת דו-שיח זו בעתיד."
+  },
+  "zoneMask": {
+    "filterBy": "סינון לפי מיסוך אזור"
+  },
+  "recognizedLicensePlates": {
+    "title": "לוחיות רישוי מוכרות",
+    "loadFailed": "טעינת לוחיות הרישוי המזוהות נכשלה.",
+    "loading": "טוען לוחיות רישוי מזוהות…",
+    "placeholder": "הקלד כדי לחפש לוחיות רישוי…",
+    "noLicensePlatesFound": "לא נמצאו לוחיות רישוי.",
+    "selectPlatesFromList": "בחירת לוחית אחת או יותר מהרשימה."
+  },
+  "logSettings": {
+    "label": "סינון רמת לוג",
+    "filterBySeverity": "סנן לוגים לפי חומרה",
+    "loading": {
+      "title": "טוען",
+      "desc": "כאשר חלונית הלוגים גוללת לתחתית, לוגים חדשים מוזרמים אוטומטית עם הוספתם."
+    },
+    "disableLogStreaming": "השבתת זרימה של לוגים",
+    "allLogs": "כל הלוגים"
+  }
+}
diff --git a/web/public/locales/he/components/icons.json b/web/public/locales/he/components/icons.json
new file mode 100644
index 000000000..ecff965c3
--- /dev/null
+++ b/web/public/locales/he/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "בחר סמל",
+    "search": {
+      "placeholder": "חפש אייקון…"
+    }
+  }
+}
diff --git a/web/public/locales/he/components/input.json b/web/public/locales/he/components/input.json
new file mode 100644
index 000000000..e427f53e0
--- /dev/null
+++ b/web/public/locales/he/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "הורד וידאו",
+      "toast": {
+        "success": "הורדת סרטון הסקירה שלך החלה."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/he/components/player.json b/web/public/locales/he/components/player.json
new file mode 100644
index 000000000..348cb1d46
--- /dev/null
+++ b/web/public/locales/he/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "לא נמצאו הקלטות לזמן זה",
+  "stats": {
+    "droppedFrames": {
+      "title": "פריימים שנשמטו:",
+      "short": {
+        "title": "נשמטו",
+        "value": "{{droppedFrames}} פריימים"
+      }
+    },
+    "streamType": {
+      "title": "סוג זרם:",
+      "short": "סוג"
+    },
+    "bandwidth": {
+      "title": "רוחב-פס:",
+      "short": "רוחב-פס"
+    },
+    "latency": {
+      "title": "השהיה:",
+      "value": "{{seconds}} שניות",
+      "short": {
+        "title": "השהיה",
+        "value": "{{seconds}} שניה"
+      }
+    },
+    "decodedFrames": "פריימים מפוענחים:",
+    "droppedFrameRate": "קצב פריימים מופחת:",
+    "totalFrames": "סך כל המסגרות:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "הפריים נשלח בהצלחה ל-Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "שליחת הפריים ל-Frigate+ נכשלה"
+    }
+  },
+  "noPreviewFound": "לא נמצאה תצוגה מקדימה",
+  "noPreviewFoundFor": "לא נמצאה תצוגה מקדימה עבור {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "לשלוח את הפריים הזה ל-Frigate+?",
+    "submit": "אישור"
+  },
+  "livePlayerRequiredIOSVersion": "נדרשת iOS 17.1 ומעלה עבור סוג השידור החי הזה.",
+  "streamOffline": {
+    "title": "זרם מצלמה לא זמין",
+    "desc": "לא התקבלו פריימים בזרם <code>detect</code> של {{cameraName}}, בדקו את יומני השגיאות"
+  },
+  "cameraDisabled": "המצלמה מושבתת"
+}
diff --git a/web/public/locales/he/objects.json b/web/public/locales/he/objects.json
new file mode 100644
index 000000000..68f648da0
--- /dev/null
+++ b/web/public/locales/he/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "אדם",
+  "bicycle": "אופניים",
+  "car": "מכונית",
+  "motorcycle": "אופנוע",
+  "airplane": "מטוס",
+  "bus": "אוטובוס",
+  "train": "למד פנים",
+  "boat": "סירה",
+  "traffic_light": "רמזור",
+  "fire_hydrant": "ברז כיבוי אש",
+  "street_sign": "שלט רחוב",
+  "stop_sign": "תמרור עצור",
+  "parking_meter": "מדחן חניה",
+  "bench": "ספסל",
+  "bird": "ציפור",
+  "cat": "חתול",
+  "dog": "כלב",
+  "horse": "סוס",
+  "sheep": "כבשה",
+  "cow": "פרה",
+  "elephant": "פיל",
+  "bear": "דב",
+  "zebra": "זברה",
+  "giraffe": "ג'ירפה",
+  "hat": "כובע",
+  "backpack": "תרמיל",
+  "umbrella": "מטריה",
+  "shoe": "נעל",
+  "eye_glasses": "משקפיים",
+  "handbag": "תיק יד",
+  "tie": "עניבה",
+  "suitcase": "מזוודה",
+  "frisbee": "צלחת מעופפת",
+  "skis": "מִגלָשַׁיִם",
+  "snowboard": "גלשן שלג",
+  "sports_ball": "כדור ספורט",
+  "kite": "עפיפון",
+  "baseball_bat": "כובע בייסבול",
+  "baseball_glove": "כפפת בייסבול",
+  "skateboard": "סקייטבורד",
+  "surfboard": "גלשן",
+  "bottle": "בקבוק",
+  "plate": "לוחית",
+  "wine_glass": "כוס יין",
+  "mouse": "עכבר",
+  "keyboard": "לוח מקשים",
+  "bark": "נביחה",
+  "fox": "שועל",
+  "goat": "עז",
+  "rabbit": "ארנב",
+  "raccoon": "רקון",
+  "robot_lawnmower": "מכסחת דשא רובוטית",
+  "waste_bin": "פח אשפה",
+  "on_demand": "לפי דרישה",
+  "face": "פנים",
+  "license_plate": "לוחית רישוי",
+  "package": "חבילה",
+  "bbq_grill": "מנגל",
+  "amazon": "אמזון",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "פדקס",
+  "dhl": "די-אייצ'-אל",
+  "an_post": "אנפוסט",
+  "purolator": "פורולטור",
+  "postnl": "דואר הולנד",
+  "nzpost": "דואר ניוזילנד",
+  "postnord": "דואר נורד",
+  "gls": "G_L_S",
+  "dpd": "דיפידי",
+  "tennis_racket": "מחבט טניס",
+  "pizza": "פיצה",
+  "donut": "דונאט",
+  "cake": "עוגה",
+  "chair": "כיסא",
+  "couch": "ספה",
+  "potted_plant": "עציץ",
+  "bed": "מיטה",
+  "mirror": "מראה",
+  "dining_table": "שולחן אוכל",
+  "window": "חלון",
+  "desk": "שולחן",
+  "toilet": "שירותים",
+  "door": "דלת",
+  "tv": "טלויזיה",
+  "cup": "כוס",
+  "fork": "מזלג",
+  "knife": "סכין",
+  "spoon": "כף",
+  "bowl": "קערה",
+  "banana": "בננה",
+  "apple": "תפוח",
+  "sandwich": "כריך",
+  "orange": "תפוז",
+  "broccoli": "ברוקולי",
+  "carrot": "גזר",
+  "hot_dog": "נקניקייה",
+  "laptop": "מחשב נייד",
+  "remote": "שלט",
+  "cell_phone": "טלפון נייד",
+  "microwave": "מיקרוגל",
+  "oven": "תנור",
+  "toaster": "טוסטר",
+  "refrigerator": "מקרר",
+  "blender": "מערבל",
+  "book": "ספר",
+  "clock": "שעון",
+  "vase": "אגרטל",
+  "scissors": "מספריים",
+  "teddy_bear": "דובי",
+  "hair_dryer": "מייבש שיער",
+  "toothbrush": "מברשת שיניים",
+  "hair_brush": "מברשת שיער",
+  "vehicle": "רכב",
+  "animal": "חיה",
+  "squirrel": "סנאי",
+  "deer": "צבי",
+  "sink": "כיור"
+}
diff --git a/web/public/locales/he/views/configEditor.json b/web/public/locales/he/views/configEditor.json
new file mode 100644
index 000000000..7f9120a31
--- /dev/null
+++ b/web/public/locales/he/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "עורך הגדרות - פריגטה",
+  "configEditor": "עורך תצורה",
+  "copyConfig": "העתקת הגדרות",
+  "saveAndRestart": "שמירה והפעלה מחדש",
+  "saveOnly": "שמירה בלבד",
+  "confirm": "לצאת ללא שמירה?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "התצורה הועתקה ללוח."
+    },
+    "error": {
+      "savingError": "שגיאה בשמירת ההגדרות"
+    }
+  }
+}
diff --git a/web/public/locales/he/views/events.json b/web/public/locales/he/views/events.json
new file mode 100644
index 000000000..21b551e2a
--- /dev/null
+++ b/web/public/locales/he/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "התרעות",
+  "detections": "גילויים",
+  "motion": {
+    "label": "תנועה",
+    "only": "תנועה בלבד"
+  },
+  "allCameras": "כל המצלמות",
+  "empty": {
+    "detection": "אין גילויים לבדיקה",
+    "alert": "אין התראות להצגה",
+    "motion": "לא נמצאו נתוני תנועה"
+  },
+  "timeline": "ציר זמן",
+  "timeline.aria": "בחירת ציר זמן",
+  "events": {
+    "label": "אירועים",
+    "aria": "בחירת אירועים",
+    "noFoundForTimePeriod": "לא נמצאו אירועים עבור תקופת זמן זו."
+  },
+  "documentTitle": "סקירה - Frigate",
+  "recordings": {
+    "documentTitle": "הקלטות - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "24 שעות אחרונות"
+  },
+  "markAsReviewed": "סימון כנבדק",
+  "markTheseItemsAsReviewed": "סמן פריטים אלה כנסרקו",
+  "newReviewItems": {
+    "label": "הצג פריטי סקירה חדשים",
+    "button": "פריטים חדשים לסקירה"
+  },
+  "selected_one": "נבחרו {{count}}",
+  "selected_other": "{{count}} נבחרו",
+  "camera": "מצלמה",
+  "detected": "זוהה"
+}
diff --git a/web/public/locales/he/views/explore.json b/web/public/locales/he/views/explore.json
new file mode 100644
index 000000000..0646e5089
--- /dev/null
+++ b/web/public/locales/he/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "documentTitle": "גלה - פריגטה",
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "הורדת וידיאו",
+      "aria": "הורדת וידיאו"
+    },
+    "viewObjectLifecycle": {
+      "label": "צפה בשלבים של האובייקט",
+      "aria": "הצג את השלבים של האובייקט"
+    },
+    "downloadSnapshot": {
+      "label": "הורדת לכידת תמונה",
+      "aria": "הורדת לכידת תמונה"
+    },
+    "findSimilar": {
+      "label": "מצא דומה",
+      "aria": "מצא אובייקטים דומים במעקב"
+    },
+    "submitToPlus": {
+      "label": "שלח ל- +Frigate",
+      "aria": "שלח ל +Frigate"
+    },
+    "viewInHistory": {
+      "label": "צפה בהיסטוריה",
+      "aria": "צפה בהיסטוריה"
+    },
+    "deleteTrackedObject": {
+      "label": "מחק את אובייקט המעקב הזה"
+    }
+  },
+  "generativeAI": "Generative - AI",
+  "exploreMore": "סקור אובייקטים נוספים של {{label}}",
+  "exploreIsUnavailable": {
+    "title": "סקירה לא זמינה",
+    "embeddingsReindexing": {
+      "context": "ניתן להשתמש בסקירה לאחר סיום בניית המאגר של האובייקטים שזוהו.",
+      "startingUp": "מתחיל…",
+      "estimatedTime": "זמן משוער שנותר:",
+      "finishingShortly": "מסיים בקרוב",
+      "step": {
+        "thumbnailsEmbedded": "תמונות ממוזערות מוטמעות: ",
+        "descriptionsEmbedded": "תיאורים מוטמעים: ",
+        "trackedObjectsProcessed": "אובייקטים שעובדו לאחר מעקב: "
+      }
+    },
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "מודל חוזי",
+        "visionModelFeatureExtractor": "מחלץ תכונות מודל חוזי",
+        "textModel": "מודל טקסט",
+        "textTokenizer": "מפצל טקסט"
+      },
+      "tips": {
+        "context": "מומלץ לעדכן את המאגר של האובייקטים אחרי שהמודלים ירדו.",
+        "documentation": "קרא את התיעוד"
+      },
+      "error": "אירעה שגיאה. בדוק את הלוגים.",
+      "context": "Frigate מורידה את מודלי ההטמעה הדרושים כדי לתמוך בתכונת החיפוש הסמנטי. פעולה זו עשויה להימשך מספר דקות, בהתאם למהירות חיבור הרשת שלך."
+    }
+  },
+  "trackedObjectDetails": "פרטי אובייקט במעקב",
+  "type": {
+    "details": "פרטים",
+    "snapshot": "לכידת תמונה",
+    "video": "וידיאו",
+    "object_lifecycle": "שלבי זיהוי של האובייקט"
+  },
+  "objectLifecycle": {
+    "title": "שלבי זיהוי של האובייקט",
+    "noImageFound": "לא נמצאה תמונה עבור חותמת זמן זו.",
+    "createObjectMask": "יצירת מיסוך אובייקט",
+    "adjustAnnotationSettings": "שנה את הגדרות הסימון",
+    "scrollViewTips": "גלול כדי לצפות ברגעים המשמעותיים בשלבים של אובייקט זה.",
+    "count": "{{first}} מתוך{{second}}",
+    "trackedPoint": "נקודת מעקב",
+    "lifecycleItemDesc": {
+      "visible": "זוהה {{label}}",
+      "entered_zone": "{{label}} נכנס ל-{{zones}}",
+      "active": "{{label}} הפך לפעיל",
+      "stationary": "{{label}} הפך לנייח",
+      "attribute": {
+        "faceOrLicense_plate": "זוהה {{attribute}} עבור {{label}}",
+        "other": "{{label}} זוהה כ-{{attribute}}"
+      },
+      "gone": "{{label}} שמאל",
+      "heard": "{{label}} נשמעה",
+      "external": "זוהה {{label}}",
+      "header": {
+        "zones": "אזורים",
+        "ratio": "יחס",
+        "area": "אזור"
+      }
+    },
+    "annotationSettings": {
+      "title": "הגדרות סימון",
+      "showAllZones": {
+        "title": "הצג את כל האזורים",
+        "desc": "הצג תמיד אזורים בפריימים שבהם אובייקטים נכנסו לאזור."
+      },
+      "offset": {
+        "label": "היסט ההערה",
+        "documentation": "עיין בתיעוד ",
+        "toast": {
+          "success": "קיזוז עבור {{camera}} נשמר בקובץ התצורה. הפעל מחדש את Frigate כדי להחיל את השינויים שלך."
+        },
+        "tips": "טיפ: דמיינו סרטון אירוע שבו אדם הולך משמאל לימין. אם תיבת הגבול של ציר הזמן של האירוע נמצאת באופן עקבי משמאל לאדם, יש להפחית את הערך. באופן דומה, אם אדם הולך משמאל לימין והתיבה התוחמת נמצאת באופן עקבי לפני האדם, יש להגדיל את הערך.",
+        "millisecondsToOffset": "מספר מילישניות להסטת ההערות שנוצרו מזיהוי <em>ברירת מחדל: 0</em>",
+        "desc": "נתונים אלה מגיעים משידור הזיהוי של המצלמה שלך, אך הם מונחים על גבי תמונות משידור ההקלטה. לא סביר ששני הזרמים יהיו מסונכרנים לחלוטין. כתוצאה מכך, תיבת הגבול והצילומים לא מסונכרנים בצורה מושלמת. עם זאת, ניתן להשתמש בשדה <code>היסט סימון</code> כדי לסנכרן."
+      }
+    },
+    "autoTrackingTips": "מיקומי תיבות הסימון לא יהיו מדויקים עבור מצלמות עם מעקב אוטומטי.",
+    "carousel": {
+      "previous": "שקופית קודמת",
+      "next": "שקופית הבאה"
+    }
+  },
+  "details": {
+    "timestamp": "חותמת זמן",
+    "item": {
+      "tips": {
+        "mismatch_one": "זוהה אובייקט לא זמין ({{count}}) ונכלל בפריט סקירה זה. אובייקטים אלה לא עמדו בקריטריונים של התראה או זיהוי, או שכבר נוקו/נמחקו.",
+        "mismatch_two": "זוהו אובייקטים לא זמינים ({{count}}) ונכלל בפריט סקירה זה. אובייקטים אלה לא עמדו בקריטריונים של התראה או זיהוי, או שכבר נוקו/נמחקו.",
+        "mismatch_other": "זוהו אובייקטים לא זמינים ({{count}}) ונכלל בפריט סקירה זה. אובייקטים אלה לא עמדו בקריטריונים של התראה או זיהוי, או שכבר נוקו/נמחקו.",
+        "hasMissingObjects": "התאם את התצורה שלך אם ברצונך ש-Frigate ישמור אובייקטים שעוקבים אחריהם עבור התוויות הבאות: <em>{{objects}}</em>"
+      },
+      "button": {
+        "viewInExplore": "הצג בסקירה",
+        "share": "שתף פריט זה"
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "תווית המשנה עודכנה בהצלחה.",
+          "updatedLPR": "לוחית הרישוי עודכנה בהצלחה.",
+          "regenerate": "תיאור חדש התבקש מ-{{provider}}. בהתאם למהירות הספק שלך, ייתכן שייקח זמן מה ליצירת התיאור החדש."
+        },
+        "error": {
+          "regenerate": "ההתקשרות ל-{{provider}} לקבלת תיאור חדש נכשלה: {{errorMessage}}",
+          "updatedSublabelFailed": "עדכון תווית המשנה נכשל: {{errorMessage}}",
+          "updatedLPRFailed": "עדכון לוחית הרישוי נכשל: {{errorMessage}}"
+        }
+      },
+      "title": "סקירת הפריט",
+      "desc": "סקירת הפריט"
+    },
+    "label": "תווית",
+    "editSubLabel": {
+      "title": "עריכת תווית משנה",
+      "desc": "הזן תווית משנה חדשה עבור {{label}}",
+      "descNoLabel": "הזן תווית משנה חדשה עבור אובייקט המעקב"
+    },
+    "editLPR": {
+      "title": "עריכת לוחית זיהוי",
+      "desc": "הזן ערך לוחית רישוי חדשה עבור {{label}}",
+      "descNoLabel": "הזן ערך לוחית רישוי חדשה עבור האובייקט במעקב"
+    },
+    "snapshotScore": {
+      "label": "ציון לכידת תמונה"
+    },
+    "topScore": {
+      "label": "ציון גבוה",
+      "info": "הציון הגבוה ביותר הוא הציון החציוני הגבוה ביותר עבור האובייקט במעקב, כך שהוא עשוי להיות שונה מהציון המוצג בתמונה הממוזערת של תוצאת החיפוש."
+    },
+    "recognizedLicensePlate": "לוחית רישוי מוכרת",
+    "estimatedSpeed": "מהירות משוערת",
+    "objects": "אובייקט",
+    "camera": "מצלמה",
+    "button": {
+      "findSimilar": "מצא דומה",
+      "regenerate": {
+        "title": "צור מחדש",
+        "label": "צור מחדש את תיאור אובייקט המעקב"
+      }
+    },
+    "description": {
+      "label": "תיאור",
+      "placeholder": "תיאור האובייקט במעקב",
+      "aiTips": "Frigate לא תבקש תיאור מספק הבינה המלאכותית הגנרטיבית שלך עד לסיום כל השלבים של האובייקט במעקב."
+    },
+    "expandRegenerationMenu": "פתח את תפריט היצירה מחדש",
+    "regenerateFromSnapshot": "צור מחדש מלכידת התמונה",
+    "regenerateFromThumbnails": "צור מחדש מתמונות ממוזערות",
+    "tips": {
+      "descriptionSaved": "התיאור נשמר בהצלחה",
+      "saveDescriptionFailed": "עדכון התיאור נכשל: {{errorMessage}}"
+    },
+    "zones": "אזורים"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "אישור מחיקה",
+      "desc": "מחיקת אובייקט זה במעקב מסירה את תמונת המצב, כל ההטמעות שנשמרו וכל ערכי שלבי האובייקט המשויכים. קטעי וידאו מוקלטים של אובייקט זה במעקב בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?"
+    }
+  },
+  "searchResult": {
+    "tooltip": "תואם ל-{{type}} ב-{{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "מחיקת האובייקט במעקב נכשלה: {{errorMessage}}",
+        "success": "האובייקט המעקב נמחק בהצלחה."
+      }
+    }
+  },
+  "noTrackedObjects": "לא נמצאו אובייקטים במעקב",
+  "fetchingTrackedObjectsFailed": "שגיאה באחזור אובייקטים במעקב: {{errorMessage}}",
+  "trackedObjectsCount_one": "אובייקט במעקב ({{count}}) ",
+  "trackedObjectsCount_two": "אובייקטים במעקב ({{count}}) ",
+  "trackedObjectsCount_other": "אובייקטים במעקב ({{count}}) "
+}
diff --git a/web/public/locales/he/views/exports.json b/web/public/locales/he/views/exports.json
new file mode 100644
index 000000000..93e26a7b8
--- /dev/null
+++ b/web/public/locales/he/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "חיפוש",
+  "toast": {
+    "error": {
+      "renameExportFailed": "שינוי שם הייצוא נכשל: {{errorMessage}}"
+    }
+  },
+  "documentTitle": "ייצוא - Frigate",
+  "noExports": "לא נמצא יצוא",
+  "deleteExport": "מחיקת ייצוא",
+  "deleteExport.desc": "האם אתה בטוח שברצונך למחוק את {{exportName}}?",
+  "editExport": {
+    "title": "שנה שם ייצוא",
+    "desc": "הכנס שם חדש עבור הייצוא הזה.",
+    "saveExport": "שמירת ייצוא"
+  }
+}
diff --git a/web/public/locales/he/views/faceLibrary.json b/web/public/locales/he/views/faceLibrary.json
new file mode 100644
index 000000000..96b248100
--- /dev/null
+++ b/web/public/locales/he/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "description": {
+    "addFace": "עיין בהוספת אוסף חדש לספריית הפנים.",
+    "placeholder": "הזנת שם לאוסף זה",
+    "invalidName": "שם לא חוקי. שמות יכולים לכלול רק אותיות, מספרים, רווחים, גרשים, קווים תחתונים ומקפים."
+  },
+  "createFaceLibrary": {
+    "nextSteps": "כדי לבנות בסיס חזק:<li>השתמשו בכרטיסייה 'אימון' כדי לבחור ולאמן תמונות עבור כל אדם שזוהה.</li><li>התמקדו בתמונות ישירות לקבלת התוצאות הטובות ביותר; הימנעו מאימון תמונות שלוכדות פנים בזווית.</li></ul>",
+    "title": "יצירת אוסף",
+    "desc": "יצירת אוסף חדש",
+    "new": "יצירת פנים חדשות"
+  },
+  "toast": {
+    "success": {
+      "deletedName_one": "פנים עבור {{count}} נמחקו בהצלחה.",
+      "deletedName_two": "פנים של {{count}} נמחקו בהצלחה.",
+      "deletedName_other": "פנים של {{count}} נמחקו בהצלחה.",
+      "deletedFace_one": "נמחק בהצלחה {{count}} פנים.",
+      "deletedFace_two": "נמחקו בהצלחה {{count}} פנים.",
+      "deletedFace_other": "נמחקו בהצלחה {{count}} פנים.",
+      "uploadedImage": "התמונה הועלתה בהצלחה.",
+      "addFaceLibrary": "{{name}} נוסף בהצלחה לספריית הפנים!",
+      "renamedFace": "שם הפנים שונה בהצלחה ל-{{name}}",
+      "trainedFace": "פנים אומנו בהצלחה.",
+      "updatedFaceScore": "ציון הפנים עודכן בהצלחה."
+    },
+    "error": {
+      "deleteFaceFailed": "המחיקה נכשלה: {{errorMessage}}",
+      "deleteNameFailed": "מחיקת השם: {{errorMessage}} נכשלה",
+      "renameFaceFailed": "שינוי שם הפנים נכשל: {{errorMessage}}",
+      "trainFailed": "אימון הפנים נכשל: {{errorMessage}}",
+      "updateFaceScoreFailed": "עדכון ציון הפנים נכשל: {{errorMessage}}",
+      "uploadingImageFailed": "העלאת התמונה נכשלה: {{errorMessage}}",
+      "addFaceLibraryFailed": "הגדרת שם הפנים נכשלה: {{errorMessage}}"
+    }
+  },
+  "details": {
+    "person": "אדם",
+    "subLabelScore": "ציון תווית משנה",
+    "face": "פרטי פנים",
+    "faceDesc": "פרטי האובייקט שגרם לזיהוי הפנים הזה",
+    "timestamp": "חותמת זמן",
+    "unknown": "לא ידוע",
+    "scoreInfo": "ציון תווית המשנה הוא הציון המשוקלל עבור כל זיהוי הפנים המזוהים, כך שהוא עשוי להיות שונה מהציון המוצג בתמונה."
+  },
+  "documentTitle": "ספריית זיהו פנים - Frigate",
+  "uploadFaceImage": {
+    "title": "העלאת תמונת פנים",
+    "desc": "העלה תמונה לסריקה לאיתור פנים והכללה {{pageToggle}}"
+  },
+  "collections": "אוספים",
+  "steps": {
+    "faceName": "קביעת שם לפנים",
+    "uploadFace": "העלאת תמונת פנים",
+    "nextSteps": "צעדים הבאים",
+    "description": {
+      "uploadFace": "העלה תמונה של {{name}} המציגה את פניו מזווית חזית. אין צורך לחתוך את התמונה רק לפנים שלו."
+    }
+  },
+  "train": {
+    "title": "רכבת",
+    "aria": "בחירת אימון",
+    "empty": "אין ניסיונות זיהוי פנים אחרונים"
+  },
+  "selectItem": "בחירה:{{item}}",
+  "selectFace": "בחירת פנים",
+  "deleteFaceLibrary": {
+    "title": "מחיקת שם",
+    "desc": "האם אתה בטוח שברצונך למחוק את האוסף {{name}}? פעולה זו תמחק לצמיתות את כל הפרצופים המשויכים."
+  },
+  "deleteFaceAttempts": {
+    "title": "מחיקת פנים",
+    "desc_one": "האם אתה בטוח שברצונך למחוק את הפנים עבור {{count}}? פעולה זו אינה ניתנת לביטול.",
+    "desc_two": "האם אתה בטוח שברצונך למחוק את הפנים של {{count}}? פעולה זו אינה ניתנת לביטול.",
+    "desc_other": "האם אתה בטוח שברצונך למחוק את הפנים של {{count}}? פעולה זו אינה ניתנת לביטול."
+  },
+  "renameFace": {
+    "title": "שינוי שם של פנים",
+    "desc": "הזנת שם חדש עבור {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "מחיקת פנים",
+    "addFace": "הוסף פנים",
+    "renameFace": "שנה שם פנים",
+    "deleteFace": "מחיקת פנים",
+    "uploadImage": "העלאת תמונה",
+    "reprocessFace": "עיבוד מחדש של הפנים"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "בחירת קובץ תמונה."
+    },
+    "dropActive": "שחרר/י את התמונה כאן…",
+    "dropInstructions": "גרור ושחרר תמונה כאן, או לחץ כדי לבחור",
+    "maxSize": "גודל מקסימאלי: {{size}}MB"
+  },
+  "nofaces": "אין פנים זמינים",
+  "pixels": "{{area}}פיקסלים",
+  "readTheDocs": "עיין בתיעוד",
+  "trainFaceAs": "אימון פנים כ:",
+  "trainFace": "אימון פנים"
+}
diff --git a/web/public/locales/he/views/live.json b/web/public/locales/he/views/live.json
new file mode 100644
index 000000000..9fccbd158
--- /dev/null
+++ b/web/public/locales/he/views/live.json
@@ -0,0 +1,158 @@
+{
+  "manualRecording": {
+    "title": "הקלטה לפי דרישה",
+    "tips": "התחלת אירוע הקלטה ידני המבוסס על הגדרות שמירת ההקלטה של מצלמה זו.",
+    "playInBackground": {
+      "label": "ניגון ברקע",
+      "desc": "הפעל אפשרות זו כדי להמשיך להזרים גם כאשר הנגן מוסתר."
+    },
+    "showStats": {
+      "label": "הצג סטטיסטיקות",
+      "desc": "הפעל אפשרות זו כדי להציג סטטיסטיקות שידור כשכבת-על על פיד המצלמה."
+    },
+    "debugView": "תצוגת ניפוי שגיאות",
+    "start": "התחלת הקלטה לפי דרישה",
+    "started": "התחילה הקלטה ידנית לפי דרישה.",
+    "failedToStart": "התחלת הקלטה ידנית לפי דרישה נכשלה.",
+    "recordDisabledTips": "מכיוון שההקלטה מושבתת או מוגבלת בתצורה של מצלמה זו, רק לכידת תמונה תישמר.",
+    "end": "סיום הקלטה לפי דרישה",
+    "ended": "הקלטה ידנית לפי דרישה הסתיימה.",
+    "failedToEnd": "סיום ההקלטה הידנית לפי דרישה נכשל."
+  },
+  "documentTitle": "שידור חי - Frigate",
+  "documentTitle.withCamera": "{{camera}} - שידור חי- Frigate",
+  "lowBandwidthMode": "מצב רוחב פס נמוך",
+  "twoWayTalk": {
+    "enable": "אפשור דיבור דו כיווני",
+    "disable": "ביטול דיבור דו כיווני"
+  },
+  "cameraAudio": {
+    "enable": "אפשור קול מהמצלמה",
+    "disable": "ביטול קול מהמצלמה"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "לחץ בתוך המסגרת כדי למרכז את המצלמה",
+        "enable": "הפעל לחיצה לתנועה",
+        "disable": "ביטול לחיצה לתנועה"
+      },
+      "up": {
+        "label": "הזזת מצלמה ממונעת למעלה"
+      },
+      "down": {
+        "label": "הזזת מצלמה ממונעת למטה"
+      },
+      "right": {
+        "label": "הזזת מצלמה ממונעת ימינה"
+      },
+      "left": {
+        "label": "הזזת מצלמה ממונעת לשמאל"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "מצלמה ממונעת זום פנימה"
+      },
+      "out": {
+        "label": "מצלמה ממונעת זום החוצה"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "לחץ בתוך המסגרת כדי למרכז את המצלמה הממונעת"
+      }
+    },
+    "presets": "מצלמה ממונעת - פריסטים"
+  },
+  "camera": {
+    "enable": "אפשור מצלמה",
+    "disable": "השבתת מצלמה"
+  },
+  "muteCameras": {
+    "enable": "השתק את כל המצלמות",
+    "disable": "ביטול השתקה לכל המצלמות"
+  },
+  "detect": {
+    "enable": "אפשור זיהוי",
+    "disable": "השבתת גילוי"
+  },
+  "recording": {
+    "enable": "אפשור הקלטה",
+    "disable": "השבתת הקלטה"
+  },
+  "snapshots": {
+    "enable": "אפשור לכידת תמונה",
+    "disable": "השבתת לכידת תמונה"
+  },
+  "audioDetect": {
+    "disable": "השבתת זיהוי קול",
+    "enable": "הפעלת זיהוי שמע"
+  },
+  "autotracking": {
+    "enable": "אפשור מעקב אוטומטי",
+    "disable": "השבתת מעקב אוטומטי"
+  },
+  "streamStats": {
+    "enable": "הצג סטטיסטיקות שידור",
+    "disable": "הסתרת סטטיסטיקות שידור"
+  },
+  "stream": {
+    "twoWayTalk": {
+      "tips.documentation": "קרא את התיעוד ",
+      "available": "שיחה דו-כיוונית זמינה עבור שידור זה",
+      "tips": "המכשיר שלך חייב לתמוך בתכונה ו-WebRTC חייב להיות מוגדר לתקשורת דו-כיוונית.",
+      "unavailable": "שיחה דו-כיוונית אינה זמינה עבור שידור זה"
+    },
+    "lowBandwidth": {
+      "resetStream": "איפוס זרם",
+      "tips": "התצוגה החיה נמצאת במצב של רוחב פס נמוך עקב שגיאות אחסון במאגר או שידור."
+    },
+    "playInBackground": {
+      "label": "נגן ברקע",
+      "tips": "הפעל אפשרות זו כדי להמשיך להזרים כאשר הנגן מוסתר."
+    },
+    "title": "שידור",
+    "audio": {
+      "tips": {
+        "title": "יש להפיק קול מהמצלמה שלך ולהגדיר אותו ב-go2rtc עבור שידור זה.",
+        "documentation": "עיין בתיעוד "
+      },
+      "available": "קול זמין עבור שידור זה",
+      "unavailable": "קול אינו זמין עבור שידור זה"
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} הגדרות",
+    "cameraEnabled": "המצלמה מאופשרת",
+    "objectDetection": "זיהוי אובייקטים",
+    "recording": "הקלטה",
+    "snapshots": "לכידת תמונה",
+    "audioDetection": "זיהוי קול",
+    "autotracking": "מעקב אוטומטי"
+  },
+  "streamingSettings": "הגדרות שידור",
+  "notifications": "התראות",
+  "audio": "קול",
+  "suspend": {
+    "forTime": "השעיה עבור: "
+  },
+  "history": {
+    "label": "הצג קטעים היסטוריים"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "הכל",
+      "motion": "תנועה",
+      "active_objects": "אובייקטים פעילים"
+    },
+    "notAllTips": "תצורת שמירת ההקלטה שלך ב-{{source}} מוגדרת ל-<code>מצב: {{effectiveRetainMode}}</code>, כך שהקלטה לפי דרישה זו תשמור רק מקטעים עם {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "עריכת פריסת תצוגה",
+    "group": {
+      "label": "עריכת קבוצת מצלמות"
+    },
+    "exitEdit": "יציאה מעריכה"
+  }
+}
diff --git a/web/public/locales/he/views/recording.json b/web/public/locales/he/views/recording.json
new file mode 100644
index 000000000..91817595b
--- /dev/null
+++ b/web/public/locales/he/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "לסנן",
+  "export": "ייצוא",
+  "calendar": "לוח שנה",
+  "filters": "מסננים",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "לא נבחר טווח זמן תקף",
+      "endTimeMustAfterStartTime": "שעת הסיום חייבת להיות אחרי שעת ההתחלה"
+    }
+  }
+}
diff --git a/web/public/locales/he/views/search.json b/web/public/locales/he/views/search.json
new file mode 100644
index 000000000..0865e4654
--- /dev/null
+++ b/web/public/locales/he/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "חיפוש",
+  "savedSearches": "חיפושים שמורים",
+  "searchFor": "חפש את{{inputValue}}",
+  "button": {
+    "clear": "ניקוי חיפוש",
+    "save": "שמירת החיפוש",
+    "delete": "מחיקת חיפוש שמור",
+    "filterInformation": "סינון מידע",
+    "filterActive": "מסננים פעילים"
+  },
+  "trackedObjectId": "מזהה אובייקט במעקב",
+  "filter": {
+    "label": {
+      "cameras": "מצלמות",
+      "labels": "תוויות",
+      "zones": "אזורים",
+      "sub_labels": "תוויות משנה",
+      "search_type": "סוג חיפוש",
+      "time_range": "טווח זמן",
+      "before": "לפני",
+      "after": "אחרי",
+      "min_score": "ציון מינימום",
+      "max_speed": "מהירות מקסימאלית",
+      "max_score": "ציון מקסימאלי",
+      "min_speed": "מהירות מינמאלית",
+      "recognized_license_plate": "לוחית רישוי מוכרת",
+      "has_clip": "קיים סרטון קליפ",
+      "has_snapshot": "לכידת תמונה קיימת"
+    },
+    "searchType": {
+      "thumbnail": "תמונה ממוזערת",
+      "description": "תיאור"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "תאריך ה\"לפני\" חייב להיות מאוחר מתאריך ה\"אחרי\".",
+        "afterDatebeEarlierBefore": "תאריך ה'אחרי' חייב להיות מוקדם יותר מתאריך ה'לפני'.",
+        "minScoreMustBeLessOrEqualMaxScore": "ה-'min_score' חייב להיות קטן או שווה ל-'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "ה-'max_score' חייב להיות גדול או שווה ל-'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "ה-'min_speed' חייב להיות קטן או שווה ל-'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "ה-'max_speed' חייב להיות גדול או שווה ל-'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "כיצד להשתמש במסנני טקסט",
+      "desc": {
+        "text": "מסננים עוזרים לך לצמצם את תוצאות החיפוש שלך. כך תוכל להשתמש בהם בשדה הקלט:",
+        "step1": "הקלד שם של מפתח סינון ואחריו נקודתיים (לדוגמה, \"מצלמות:\").",
+        "step2": "בחר ערך מההצעות או הקלד ערך משלך.",
+        "step3": "השתמשו במספר מסננים על ידי הוספתם אחד אחרי השני עם רווח ביניהם.",
+        "step6": "הסר מסננים על ידי לחיצה על ה-'x' שלידם.",
+        "step4": "מסנני תאריך (לפני: ואחרי:) משתמשים בפורמט {{DateFormat}}.",
+        "step5": "מסנן טווח הזמן משתמש בפורמט {{exampleTime}}.",
+        "exampleLabel": "דוּגמָה:"
+      }
+    },
+    "header": {
+      "currentFilterType": "סנן ערכים",
+      "noFilters": "מסננים",
+      "activeFilters": "מסננים פעילים"
+    }
+  },
+  "similaritySearch": {
+    "title": "חיפוש פריטים דומים",
+    "active": "חיפוש דומה פעיל",
+    "clear": "נקה חיפוש דומה"
+  },
+  "placeholder": {
+    "search": "חיפוש…"
+  }
+}
diff --git a/web/public/locales/he/views/settings.json b/web/public/locales/he/views/settings.json
new file mode 100644
index 000000000..a628048fc
--- /dev/null
+++ b/web/public/locales/he/views/settings.json
@@ -0,0 +1,622 @@
+{
+  "camera": {
+    "reviewClassification": {
+      "zoneObjectDetectionsTips": {
+        "notSelectDetections": "כל האובייקטים של {{detectionsLabels}} שזוהו ב-{{zone}} ב-{{cameraName}} שלא סווגו כהתראות יוצגו כזיהויים ללא קשר לאזור בו הם נמצאים.",
+        "text": "כל האובייקטים של {{detectionsLabels}} שאינם מסווגים ב-{{zone}} ב-{{cameraName}} יוצגו כזיהויים.",
+        "regardlessOfZoneObjectDetectionsTips": "כל האובייקטים של {{detectionsLabels}} שלא סווגו ב-{{cameraName}} יוצגו כזיהויים ללא קשר לאזור בו הם נמצאים."
+      },
+      "objectAlertsTips": "כל האובייקטים של {{alertsLabels}} ב-{{cameraName}} יוצגו כהתראות.",
+      "objectDetectionsTips": "כל האובייקטים של {{detectionsLabels}} שלא סווגו ב-{{cameraName}} יוצגו כזיהויים ללא קשר לאזור בו הם נמצאים.",
+      "noDefinedZones": "בחר ערך מההצעות או הקלד ערך משלך.",
+      "zoneObjectAlertsTips": "כל האובייקטים של {{alertsLabels}} שזוהו ב-{{zone}} ב-{{cameraName}} יוצגו כהתראות.",
+      "unsavedChanges": "הגדרות סיווג סקירה שלא נשמרו עבור {{camera}}",
+      "selectAlertsZones": "בחירת אזורים להתראות",
+      "selectDetectionsZones": "בחירת אזורים לגילוי",
+      "limitDetections": "הגבלת הזיהוי לאזורים ספציפיים",
+      "toast": {
+        "success": "הגדרת סיווג נשמרה. יש להפעיל מחדש את Frigate כדי שהשינויים ייכנסו לתוקף."
+      },
+      "title": "סיווג סקירה",
+      "readTheDocumentation": "עיין בתיעוד",
+      "desc": "Frigate מסווגת פריטי סקירה כהתראות וגילויים. כברירת מחדל, כל האובייקטים של <em>אנשים</em> ו<em>מכוניות</em> נחשבים כהתראות. ניתן למקד את הקטגוריה של פריטי הסקירה על ידי הגדרת אזורים נדרשים עבורם."
+    },
+    "title": "הגדרות מצלמה",
+    "streams": {
+      "title": "שידורים",
+      "desc": "השבתת מצלמה עוצרת לחלוטין את עיבוד הזרמים של מצלמה זו על ידי Frigate. זיהוי, הקלטה וניפוי שגיאות לא יהיו זמינים.<br /> <em>הערה: פעולה זו אינה מבטלת זרמים חוזרים של go2rtc.</em>"
+    },
+    "review": {
+      "title": "סקירה",
+      "desc": "הפעלה/השבתה של התראות וזיהויים עבור מצלמה זו. כאשר ההגדרה מושבתת, לא ייווצרו פריטי סקירה חדשים. ",
+      "alerts": "התרעות. ",
+      "detections": "גילויים. "
+    }
+  },
+  "masksAndZones": {
+    "form": {
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "ההתמדה חייבת להיות מעל 0."
+        }
+      },
+      "zoneName": {
+        "error": {
+          "alreadyExists": "אובייקט המעקב נמחק בהצלחה.",
+          "mustBeAtLeastTwoCharacters": "שם האזור חייב להיות באורך של לפחות 2 תווים.",
+          "mustNotBeSameWithCamera": "שם האזור לא חייב להיות זהה לשם המצלמה.",
+          "mustNotContainPeriod": "שם האזור אינו יכול להכיל נקודות.",
+          "hasIllegalCharacter": "שם האזור מכיל תווים לא חוקיים."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "המרחק חייב להיות גדול או שווה ל-0.1.",
+          "mustBeFilled": "יש למלא את כל שדות המרחק כדי להשתמש בהערכת מהירות."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "זמן ההשהיה חייב להיות גדול או שווה ל-0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "סף המהירות חייב להיות גדול או שווה ל-0.1."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "הסר את הנקודה האחרונה",
+        "reset": {
+          "label": "ניקוי כל הנקודות"
+        },
+        "snapPoints": {
+          "true": "נקודות הצמדה",
+          "false": "אל תצמיד נקודות"
+        },
+        "delete": {
+          "title": "אישור מחיקה",
+          "desc": "האם אתה בטוח שברצונך למחוק את ה-{{type}} <em>{{name}}</em>?",
+          "success": "{{name}} נמחק."
+        },
+        "error": {
+          "mustBeFinished": "יש לסיים את ציור הפוליגון לפני השמירה."
+        }
+      }
+    },
+    "filter": {
+      "all": "כל המיסוכים והאזורים"
+    },
+    "restart_required": "נדרשת הפעלה מחדש (מיסוך/אזורים שונו)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "הקואורדינטות עבור {{polyName}} הועתקו ללוח."
+      },
+      "error": {
+        "copyCoordinatesFailed": "לא ניתן היה להעתיק קואורדינטות ללוח."
+      }
+    },
+    "motionMaskLabel": "מיסוך תנועה {{number}}",
+    "objectMaskLabel": "מיסוך אובייקט {{number}} ({{label}})",
+    "zones": {
+      "label": "אזורים.",
+      "documentTitle": "עריכת אזור - Frigate",
+      "desc": {
+        "title": "אזורים מאפשרים לך להגדיר אזור ספציפי בפריים, כך שתוכל לקבוע האם אובייקט נמצא בתוך אזור מסוים או לא.",
+        "documentation": "תיעוד"
+      },
+      "add": "הוספת אזור",
+      "edit": "עריכת אזור",
+      "clickDrawPolygon": "לחץ כדי לצייר פוליגון על התמונה.",
+      "name": {
+        "title": "שם",
+        "inputPlaceHolder": "הזן שם…",
+        "tips": "השם חייב להיות באורך של לפחות 2 תווים ואינו יכול להיות שם של מצלמה או אזור אחר."
+      },
+      "point_one": "נקודה {{count}}",
+      "point_two": "נקודות {{count}}",
+      "point_other": "נקודות {{count}}",
+      "inertia": {
+        "title": "אינרציה",
+        "desc": "מציין כמה מסגרות אובייקט חייבות להיות באזור לפני שהוא נחשב באזור. <em>ברירת מחדל: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "זמן שיטוט",
+        "desc": "קובע את משך הזמן המינימלי בשניות שהאובייקט חייב להיות באזור כדי שיופעל. <em>ברירת מחדל: 0</em>"
+      },
+      "objects": {
+        "title": "אובייקט",
+        "desc": "רשימת אובייקטים החלים על אזור זה."
+      },
+      "speedEstimation": {
+        "title": "הערכת מהירות",
+        "docs": "עיין בתיעוד",
+        "lineADistance": "מרחק קו A ({{unit}})",
+        "lineBDistance": "מרחק קו B ({{unit}})",
+        "lineCDistance": "מרחק קו C ({{unit}})",
+        "lineDDistance": "מרחק קו D ({{unit}})",
+        "desc": "הפעל הערכת מהירות עבור אובייקטים באזור זה. האזור חייב לכלול בדיוק 4 נקודות."
+      },
+      "speedThreshold": {
+        "title": "סף מהירות ({{unit}})",
+        "desc": "מציין מהירות מינימלית עבור אובייקטים שיש לקחת בחשבון באזור זה.",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "אזורים עם זמן שהייה גדול מ־0 לא אמורים לשמש להערכת מהירות.",
+            "pointLengthError": "הערכת מהירות הושבתה עבור אזור זה. אזורים עם הערכת מהירות חייבים לכלול בדיוק 4 נקודות."
+          }
+        }
+      },
+      "toast": {
+        "success": "האזור ({{zoneName}}) נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+      },
+      "allObjects": "כל האובייקטים"
+    },
+    "motionMasks": {
+      "point_one": "נקודה {{count}}",
+      "point_two": "נקודות {{count}}",
+      "point_other": "נקודות {{count}}",
+      "label": "מיסוך תנועה.",
+      "documentTitle": "עריכת מיסוך תנועה - Frigate",
+      "desc": {
+        "documentation": "תיעוד",
+        "title": "מיסוך תנועה משמש כדי למנוע זיהוי של תנועה לא רצויה. מיסוך יתר יקשה על מעקב אחר אובייקטים."
+      },
+      "add": "מיסוך תנועה חדש",
+      "edit": "עריכת מיסוך תנועה",
+      "context": {
+        "documentation": "עיין בתיעוד",
+        "title": "מיסוך תנועה משמש כדי למנוע זיהוי מסוגים לא רצויים של תנועה (לדוגמה: ענפי עצים, חותמות זמן של מצלמה). יש להשתמש במיסוך התנועה <em>בזהירות רבה</em>, מיסוך יתר יקשה על מעקב אחר אובייקטים."
+      },
+      "clickDrawPolygon": "לחץ כדי לצייר פוליגון על התמונה.",
+      "polygonAreaTooLarge": {
+        "title": "מיסוך התנועה מכסה {{polygonArea}}% ממסגרת המצלמה. מיסוך תנועה גדול אינו מומלץ.",
+        "tips": "מיסוך תנועה אינו מונע זיהוי של אובייקטים. עליך להשתמש באזור נדרש במקום זאת.",
+        "documentation": "עיין בתיעוד"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים.",
+          "noName": "מיסוך התנועה נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+        }
+      }
+    },
+    "objectMasks": {
+      "point_one": "נקודה {{count}}",
+      "point_two": "נקודות {{count}}",
+      "point_other": "נקודות {{count}}",
+      "label": "מיסוך אובייקט",
+      "documentTitle": "עריכת מיסוך אובייקט - Frigate",
+      "desc": {
+        "title": "מיסוך סינון אובייקטים משמש לסינון תוצאות חיוביות שגויות עבור סוג אובייקט נתון בהתבסס על מיקום.",
+        "documentation": "תיעוד"
+      },
+      "add": "הוספת מיסוך אובייקט",
+      "edit": "עריכת מיסוך אובייקט",
+      "context": "מיסוך סינון אובייקטים משמש לסינון תוצאות חיוביות שגויות עבור סוג אובייקט נתון בהתבסס על מיקום.",
+      "clickDrawPolygon": "לחץ כדי לצייר פוליגון על התמונה.",
+      "objects": {
+        "title": "אובייקטים",
+        "desc": "סוג האובייקט שאליו מתייחס מיסוך האובייקט הזה.",
+        "allObjectTypes": "כל סוגי האובייקטים"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים.",
+          "noName": "מיסוך האובייקט נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+        }
+      }
+    }
+  },
+  "general": {
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "desc": "קצב ניגון ברירת מחדל עבור ניגון הקלטות.",
+        "label": "קצב השמעה ברירת המחדל"
+      },
+      "title": "מציג הקלטות"
+    },
+    "liveDashboard": {
+      "automaticLiveView": {
+        "label": "צפיה בשידור חי אוטומטית",
+        "desc": "מעבר אוטומטי לתצוגה חיה של מצלמה כאשר מזוהה פעילות. השבתת אפשרות זו גורמת לתמונות סטטיות של המצלמה בדשבורד שידור חי להתעדכן רק פעם בדקה."
+      },
+      "title": "דשבורד שידור חי",
+      "playAlertVideos": {
+        "label": "ניגון סרטוני התראות",
+        "desc": "כברירת מחדל, התראות אחרונות בדשבורד שידור חי מופעלות כסרטונים קצרים בלולאה. השבת אפשרות זו כדי להציג רק תמונה סטטית של התראות אחרונות במכשיר/דפדפן זה."
+      }
+    },
+    "cameraGroupStreaming": {
+      "desc": "הגדרות שידור עבור כל קבוצת מצלמות נשמרות באחסון המקומי של הדפדפן שלך.",
+      "title": "הגדרות הזרמת קבוצת מצלמות",
+      "clearAll": "נקה את כל הגדרות השידור"
+    },
+    "title": "הגדרות כלליות",
+    "storedLayouts": {
+      "title": "פריסות תצוגה שמורות",
+      "desc": "ניתן לגרור/לשנות את גודל הפריסה של המצלמות בקבוצת מצלמות. המיקומים נשמרים באחסון המקומי של הדפדפן שלך.",
+      "clearAll": "נקה את כל פריסות התצוגות"
+    },
+    "calendar": {
+      "title": "לוח שנה",
+      "firstWeekday": {
+        "label": "היום הראשון בשבוע",
+        "sunday": "ראשון",
+        "monday": "שני",
+        "desc": "היום שבו מתחיל השבוע בלוח הסקירות."
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "ניקוי הפריסה השמורה עבור {{cameraName}}",
+        "clearStreamingSettings": "ניקוי הגדרות השידור עבור כל קבוצות המצלמות בוצע."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "ניקוי פריסת התצוגה השמורה נכשל: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "ניקוי הגדרות השידור נכשל: {{errorMessage}}"
+      }
+    }
+  },
+  "documentTitle": {
+    "camera": "הגדרת מצלמה - Frigate",
+    "enrichments": "הגדרות העשרה - Frigate",
+    "masksAndZones": "עריכת מיסוך אזור - Frigate",
+    "motionTuner": "כיול תנועה - Frigate",
+    "object": "ניפוי שגיאות - Frigate",
+    "frigatePlus": "הגדרות +Frigate - Frigate",
+    "notifications": "הגדרת התראות - Frigate",
+    "authentication": "הגדרות אימות - Frigate",
+    "default": "הגדרות - Frigate",
+    "general": "הגדרות כלליות - Frigate"
+  },
+  "menu": {
+    "ui": "UI - ממשק משתמש",
+    "cameras": "הגדרות מצלמה",
+    "masksAndZones": "מיסוך / אזורים",
+    "motionTuner": "כיול תנועה",
+    "debug": "ניפוי שגיאות",
+    "users": "משתמשים",
+    "notifications": "התראות",
+    "frigateplus": "+Frigate",
+    "enrichments": "תוספות"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "ישנם שינויים שלא נשמרו.",
+      "desc": "האם ברצונך לשמור את השינויים לפני שתמשיך?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "מצלמה",
+    "noCamera": "אין מצלמה"
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmButton": "ביצוע אינדקס מחדש",
+        "success": "אינדקס מחדש הופעל בהצלחה.",
+        "error": "התחלת האינדקס מחדש נכשלה: {{errorMessage}}",
+        "confirmDesc": "האם אתה בטוח שברצונך לבצע אינדקס מחדש להטמעות האובייקטים במעקב? תהליך זה יפעל ברקע אך הוא עשוי להפעיל את המעבד שלך בצורה מקסימלית ועלול לקחת זמן רב. תוכל לצפות בהתקדמות בדף החיפוש.",
+        "alreadyInProgress": "אינדקס מחדש כבר פעיל כרגע.",
+        "label": "בצע אינדקס מחדש כעת",
+        "confirmTitle": "אישור אינדקס מחדש",
+        "desc": "אינדקס מחדש ייצור מחדש הטמעות עבור כל האובייקטים שבמעקב. תהליך זה פועל ברקע ועשוי למקסם את עוצמת המעבד שלך ולקחת זמן רב בהתאם למספר האובייקטים במעקב שיש לך."
+      },
+      "modelSize": {
+        "label": "גודל מודל",
+        "small": {
+          "title": "קטן",
+          "desc": "שימוש ב-<em>קטן</em> משתמש בגרסה כמותית של המודל המשתמשת בפחות זיכרון RAM ופועלת מהר יותר על המעבד עם הבדל זניח מאוד באיכות ההטמעה."
+        },
+        "large": {
+          "title": "גדול",
+          "desc": "שימוש ב-<em>גדול</em> מפעיל את מודל Jina המלא ויפעל אוטומטית על ה-GPU במידת הצורך."
+        },
+        "desc": "גודל המודל המשמש להטמעות חיפוש סמנטי."
+      },
+      "title": "חיפוש סמנטי",
+      "desc": "חיפוש סמנטי ב-Frigate מאפשר לך למצוא אובייקטים שעוקבים אחריהם בתוך פריטי הסקירה שלך באמצעות התמונה עצמה, תיאור טקסטואלי שהוגדר על ידי המשתמש, או תיאור שנוצר אוטומטית.",
+      "readTheDocumentation": "עיין בתיעוד"
+    },
+    "faceRecognition": {
+      "title": "זיהוי פנים",
+      "desc": "זיהוי פנים מאפשר להקצות לאנשים שמות, וכאשר פנים מזוהות, Frigate תקצה את שמו של האדם כתווית משנה. מידע זה כלול בממשק המשתמש, במסננים וגם בהתראות.",
+      "readTheDocumentation": "עיין בתיעוד",
+      "modelSize": {
+        "label": "גודל מודל",
+        "desc": "גודל המודל המשמש לזיהוי פנים.",
+        "small": {
+          "title": "קטן",
+          "desc": "שימוש ב-<em>קטן</em> משתמש במודל הטמעת פנים של FaceNet שפועל ביעילות על רוב המעבדים."
+        },
+        "large": {
+          "title": "גדול",
+          "desc": "שימוש ב-<em>גדול</em> משתמש במודל הטמעת פנים של ArcFace ויפעל אוטומטית על גבי ה-GPU במידת הצורך."
+        }
+      }
+    },
+    "title": "הגדרות העשרה",
+    "unsavedChanges": "שינויים בהגדרות העשרה לא נשמרו",
+    "birdClassification": {
+      "title": "סיווג ציפורים",
+      "desc": "סיווג ציפורים מזהה ציפורים ידועות באמצעות מודל Tensorflow כמותי. כאשר ציפור ידועה מזוהה, שמה הנפוץ יתווסף כתווית משנה. מידע זה כלול בממשק המשתמש, במסננים וכן בהתראות."
+    },
+    "licensePlateRecognition": {
+      "title": "זיהוי לוחיות רישוי",
+      "readTheDocumentation": "עיין בתיעוד",
+      "desc": "Frigate יכולה לזהות לוחיות רישוי על כלי רכב ולהוסיף אוטומטית את התווים שזוהו לשדה לוחית רישוי מזוהה או לשם ידוע כתווית משנה לאובייקטים מסוג מכונית. מקרה שימוש נפוץ עשוי להיות קריאת לוחיות הרישוי של מכוניות שנכנסות לחניה או מכוניות שעוברות ברחוב."
+    },
+    "restart_required": "נדרש אתחול (הגדרות ההעשרה שונו)",
+    "toast": {
+      "success": "הגדרות העשרה נשמרו. הפעל מחדש את Frigate כדי להחיל את השינויים שלך.",
+      "error": "שמירת שינויי ההגדרות נכשלה: {{errorMessage}}"
+    }
+  },
+  "motionDetectionTuner": {
+    "title": "כיול גילוי תנועה",
+    "unsavedChanges": "שינויים שלא נשמרו בכיול התנועה ({{camera}})",
+    "desc": {
+      "documentation": "עיין במדריך כיול התנועה",
+      "title": "Frigate משתמשת בזיהוי תנועה כבדיקה ראשונה כדי לראות אם קורה משהו בפריים שכדאי לבדוק עם זיהוי עצמים."
+    },
+    "Threshold": {
+      "title": "סף",
+      "desc": "ערך הסף מכתיב כמה שינוי נדרש בבהירות של פיקסל כדי להיחשב כתנועה. <em>ברירת מחדל: 30</em>"
+    },
+    "contourArea": {
+      "title": "אזור קונטור",
+      "desc": "ערך שטח המתאר משמש לקביעת אילו קבוצות של פיקסלים שהשתנו ייחשבו כתנועה. <em>ברירת מחדל: 10</em>"
+    },
+    "improveContrast": {
+      "title": "שיפור ניגודיות",
+      "desc": "שפר את הניגודיות עבור סצנות כהות יותר. <em>ברירת מחדל: מופעל</em>"
+    },
+    "toast": {
+      "success": "הגדרות התנועה נשמרו."
+    }
+  },
+  "debug": {
+    "title": "ניפוי שגיאות.",
+    "detectorDesc": "Frigate משתמשת בגלאים שלך ({{detectors}}) כדי לזהות אובייקטים בזרם הווידאו של המצלמה שלך.",
+    "debugging": "ניפוי שגיאות",
+    "objectList": "רשימת אובייקטים",
+    "noObjects": "אין אובייקטים",
+    "boundingBoxes": {
+      "title": "תיבות זיהוי",
+      "desc": "הצגת תיבות זיהוי סביב אובייקטים במעקב",
+      "colors": {
+        "label": "צבעי תיבת זיהוי של אובייקטים",
+        "info": "<li>בהפעלה, יוקצו צבעים שונים לכל תווית אובייקט</li><li>קו דק כחול כהה מציין שהאובייקט לא זוהה בנקודת זמן הנוכחית</li><li>קו דק אפור מציין שהאובייקט זוהה כנייח</li><li>קו עבה מציין שהאובייקט הוא נושא המעקב האוטומטי (כאשר מופעל)</li>"
+      }
+    },
+    "timestamp": {
+      "title": "חותמת זמן",
+      "desc": "הוספת חותמת זמן על התמונה"
+    },
+    "zones": {
+      "title": "אזורים",
+      "desc": "הצגת קווי מתאר של כל אזור מוגדר"
+    },
+    "mask": {
+      "title": "מיסוך תנועה",
+      "desc": "הצגת פוליגונים של מיסוך תנועה"
+    },
+    "motion": {
+      "title": "תיבות תנועה",
+      "desc": "הצג תיבות סביב אזורים שבהם זוהתה תנועה",
+      "tips": "<p><strong>תיבות תנועה</strong></p><br><p>תיבות אדומות יונחו על אזורים בפריים שבהם מזוהה תנועה כעת</p>"
+    },
+    "regions": {
+      "title": "אזורים",
+      "desc": "הצג תיבה של אזור העניין שנשלח לגלאי האובייקטים",
+      "tips": "<p><strong>תיבות אזור</strong></p><br><p>תיבות ירוקות בהירות יונחו על פני אזורים מעניינים בפריים הנשלחים לגלאי האובייקטים.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "ציור מסנן צורת אובייקט",
+      "desc": "צייר מלבן על התמונה כדי להציג פרטים על שטח ויחס",
+      "document": "עיין בתיעוד ",
+      "score": "ציון",
+      "ratio": "יחס",
+      "area": "אזור",
+      "tips": "הפעל אפשרות זו כדי לצייר מלבן על תמונת המצלמה כדי להציג את השטח והיחס שלה. ניתן להשתמש בערכים אלה כדי להגדיר פרמטרים של מסנן צורת אובייקט בתצורה שלך."
+    },
+    "desc": "תצוגת ניפוי שגיאות מציגה תצוגה בזמן אמת של אובייקטים במעקב והסטטיסטיקות שלהם. רשימת האובייקטים מציגה סיכום בהשהיית זמן של האובייקטים שזוהו."
+  },
+  "users": {
+    "title": "משתמשים",
+    "management": {
+      "title": "ניהול משתמשים",
+      "desc": "נהל את חשבונות המשתמשים של מופע Frigate זה."
+    },
+    "addUser": "הוספת משתמש",
+    "updatePassword": "עדכון סיסמה",
+    "toast": {
+      "success": {
+        "createUser": "המשתמש {{user}} נוצר בהצלחה",
+        "deleteUser": "המשתמש {{user}} נמחק בהצלחה",
+        "updatePassword": "הסיסמה עודכנה בהצלחה.",
+        "roleUpdated": "הרשאות עודכנו עבור {{user}}"
+      },
+      "error": {
+        "createUserFailed": "יצירת משתמש נכשלה: {{errorMessage}}",
+        "roleUpdateFailed": "עדכון ההרשאות נכשל: {{errorMessage}}",
+        "deleteUserFailed": "מחיקת משתמש נכשלה: {{errorMessage}}",
+        "setPasswordFailed": "שמירת הסיסמה נכשלה: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "actions": "פעולות",
+      "role": "הרשאות",
+      "noUsers": "לא נמצאו משתמשים.",
+      "changeRole": "שינוי הרשאות משתמש",
+      "password": "סיסמה",
+      "deleteUser": "מחיקת משתמש",
+      "username": "שם משתמש"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "שם משתמש",
+          "desc": "מותר להשתמש רק באותיות, מספרים, נקודות וקו תחתון.",
+          "placeholder": "הכנס שם משתמש"
+        },
+        "password": {
+          "title": "סיסמה",
+          "placeholder": "הכנס סיסמה",
+          "confirm": {
+            "placeholder": "אישור סיסמה",
+            "title": "אישור סיסמה"
+          },
+          "strength": {
+            "title": "חוזק הסיסמה: ",
+            "weak": "חלש",
+            "medium": "בינוני",
+            "strong": "חזק",
+            "veryStrong": "מאוד חזק"
+          },
+          "match": "סיסמאות תואמות",
+          "notMatch": "הסיסמאות אינן תואמות."
+        },
+        "newPassword": {
+          "title": "סיסמה חדשה",
+          "placeholder": "הכנס סיסמה חדשה",
+          "confirm": {
+            "placeholder": "הזן שוב את הסיסמה החדשה"
+          }
+        },
+        "usernameIsRequired": "נדרש שם משתמש",
+        "passwordIsRequired": "נדרשת סיסמה"
+      },
+      "createUser": {
+        "title": "יצירת משתמש חדש",
+        "desc": "הוסף חשבון משתמש חדש וציין הרשאות גישה לאזורים בממשק המשתמש של Frigate.",
+        "usernameOnlyInclude": "שם המשתמש יכול לכלול רק אותיות, מספרים, . או קו תחתון",
+        "confirmPassword": "אנא אשר את הסיסמה שלך"
+      },
+      "deleteUser": {
+        "title": "מחיקת משתמש",
+        "desc": "לא ניתן לבטל פעולה זו. פעולה זו תמחק לצמיתות את חשבון המשתמש ותסיר את כל הנתונים המשויכים.",
+        "warn": "האם אתה בטוח שברצונך למחוק את <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "הסיסמה לא יכולה להיות ריקה",
+        "doNotMatch": "הסיסמאות אינן תואמות",
+        "updatePassword": "עדכון סיסמה עבור {{username}}",
+        "setPassword": "קבע סיסמה",
+        "desc": "צור סיסמה חזקה כדי לאבטח חשבון זה."
+      },
+      "changeRole": {
+        "title": "שינוי הרשאות משתמש",
+        "select": "בחירת הרשאות",
+        "desc": "עדכון הרשאות עבור <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "בחר את ההרשאות המתאימות עבור משתמש זה:",
+          "admin": "מנהל",
+          "adminDesc": "גישה מלאה לכל התכונות.",
+          "viewer": "צופה",
+          "viewerDesc": "מוגבל לדשבורד שידור חי, סקירה, גילוי וייצוא בלבד."
+        }
+      }
+    }
+  },
+  "notification": {
+    "title": "התראות",
+    "notificationSettings": {
+      "title": "הגדרת התראות",
+      "desc": "Frigate יכולה לשלוח התראות דחיפה באופן טבעי למכשיר שלך כאשר הוא פועל בדפדפן או מותקן כ-PWA.",
+      "documentation": "עיין בתיעוד"
+    },
+    "notificationUnavailable": {
+      "title": "התראות לא זמינות",
+      "desc": "התראות דחיפה באינטרנט דורשות קישור מאובטח (<code>https://…</code>). זוהי מגבלה של הדפדפן. יש לגשת ל-Frigate בצורה מאובטחת כדי להשתמש בהתראות.",
+      "documentation": "עיין בתיעוד"
+    },
+    "globalSettings": {
+      "title": "הגדרות כלליות",
+      "desc": "השהה זמנית התראות עבור מצלמות ספציפיות בכל המכשירים הרשומים."
+    },
+    "email": {
+      "title": "דואר",
+      "desc": "נדרשת כתובת דוא\"ל תקינה שתשמש כדי להודיע לך אם ישנן בעיות כלשהן בשירות הדחיפה.",
+      "placeholder": "e.g. example@email.com"
+    },
+    "cameras": {
+      "title": "מצלמות",
+      "noCameras": "אין מצלמות זמינות",
+      "desc": "בחר עבור אילו מצלמות להפעיל התראות."
+    },
+    "deviceSpecific": "הגדרות ספציפיות למכשיר",
+    "registerDevice": "רשום מכשיר זה",
+    "unregisterDevice": "בטל את הרישום של מכשיר זה",
+    "sendTestNotification": "שלח הודעת בדיקה",
+    "unsavedRegistrations": "רישומי התראות שלא נשמרו",
+    "unsavedChanges": "שינויים בהתראות שלא נשמרו",
+    "active": "התראות פעילות",
+    "suspended": "התראות הושבתו ב-{{time}}",
+    "suspendTime": {
+      "suspend": "מושבת",
+      "5minutes": "השבתה למשך 5 דקות",
+      "10minutes": "השבתה למשך 10 דקות",
+      "30minutes": "השבתה למשך 30 דקות",
+      "1hour": "השבתה למשך שעה אחת",
+      "12hours": "השבתה למשך 12 שעות",
+      "24hours": "השבתה למשך 24 שעות",
+      "untilRestart": "השבתה עד להפעלה מחדש"
+    },
+    "cancelSuspension": "ביטול השבתה",
+    "toast": {
+      "success": {
+        "settingSaved": "הגדרות ההתראות נשמרו.",
+        "registered": "רישום לקבלת התראות בוצע בהצלחה. נדרשת הפעלה מחדש של Frigate לפני שניתן יהיה לשלוח התראות כלשהן (כולל הודעת בדיקה)."
+      },
+      "error": {
+        "registerFailed": "שמירת רישום ההתראות נכשלה."
+      }
+    }
+  },
+  "frigatePlus": {
+    "title": "הגדרות +Frigate",
+    "apiKey": {
+      "title": "Frigate+ API מפתח",
+      "validated": "מפתח ה-API של Frigate+ זוהה ואושר",
+      "notValidated": "מפתח ה-API של Frigate+ לא זוהה או לא אומת",
+      "desc": "מפתח ה-API של Frigate+ מאפשר אינטגרציה עם שירות Frigate+.",
+      "plusLink": "קרא עוד על Frigate+"
+    },
+    "snapshotConfig": {
+      "title": "תצורת לכידת תמונה",
+      "desc": "שליחה ל-Frigate+ דורשת הפעלה של לכידת תמונה וגם של תמונות בזק <code>clean_copy</code> בהגדרות שלך.",
+      "documentation": "עיין בתיעוד",
+      "cleanCopyWarning": "בחלק מהמצלמות יש אפשרות לתמונות בזק, אך העתקה נקייה מושבתת. עליך להפעיל את <code>clean_copy</code> בתצורת הצילום שלך כדי שתוכל לשלוח תמונות מהמצלמות הללו ל-Frigate+.",
+      "table": {
+        "snapshots": "לכידת תמונה",
+        "camera": "מצלמה",
+        "cleanCopySnapshots": "תמונות <code>clean_copy</code>"
+      }
+    },
+    "modelInfo": {
+      "title": "מידע על המודל",
+      "modelType": "סוג מודל",
+      "trainDate": "תאריך אימון",
+      "baseModel": "דגם בסיסי",
+      "plusModelType": {
+        "userModel": "כיוונון עדין",
+        "baseModel": "מודל בסיסי"
+      },
+      "supportedDetectors": "גלאים נתמכים",
+      "cameras": "מצלמות",
+      "loading": "טוען מידע על המודל…",
+      "error": "טעינת פרטי המודל נכשלה",
+      "availableModels": "מודלים זמינים",
+      "loadingAvailableModels": "טוען מודלים זמינים…",
+      "modelSelect": "ניתן לבחור כאן את הדגמים הזמינים ב-Frigate+. שים לב שניתן לבחור רק דגמים התואמים לתצורת הגלאי הנוכחית שלך."
+    },
+    "unsavedChanges": "שינויים בהגדרות של frigate+ שלא נשמרו",
+    "restart_required": "נדרש הפעלה מחדש (דגם Frigate+ שונה)",
+    "toast": {
+      "success": "הגדרות Frigate+ נשמרו. הפעל מחדש את Frigate כדי להחיל את השינויים.",
+      "error": "שמירת שינויי התצורה נכשלה: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/he/views/system.json b/web/public/locales/he/views/system.json
new file mode 100644
index 000000000..4e21f1a0a
--- /dev/null
+++ b/web/public/locales/he/views/system.json
@@ -0,0 +1,180 @@
+{
+  "lastRefreshed": "רענון אחרון: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "ל-{{camera}} יש צריכת מעבד גבוהה של FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "ל-{{camera}} יש צריכת CPU גבוהה ({{detectAvg}}%)",
+    "healthy": "המערכת פועלת בצורה תקינה",
+    "reindexingEmbeddings": "אינדקס מחדש של ההטמעות ({{processed}}% הושלם)",
+    "cameraIsOffline": "{{camera}} לא זמינה",
+    "detectIsSlow": "{{detect}} איטי ({{speed}} אלפיות שנייה)",
+    "detectIsVerySlow": "{{detect}} איטי מאוד ({{speed}} אלפיות שנייה)"
+  },
+  "documentTitle": {
+    "cameras": "מצב מצלמות - Frigate",
+    "storage": "מצב אחסון - Frigate",
+    "general": "סטטיסטיקה כללית - Frigate",
+    "enrichments": "סטטיסטיקת העשרה - Frigate",
+    "logs": {
+      "frigate": "לוגים - Frigate",
+      "go2rtc": "לוגים - Go2RTC - Frigate",
+      "nginx": "לוגים - Nginx - Frigate"
+    }
+  },
+  "title": "מערכת",
+  "metrics": "מדדי מערכת",
+  "logs": {
+    "download": {
+      "label": "הורדת לוגים"
+    },
+    "copy": {
+      "label": "העתק ללוח עריכה",
+      "success": "לוגים הועתקו ללוח העריכה",
+      "error": "לא ניתן היה להעתיק לוגים ללוח"
+    },
+    "type": {
+      "label": "סוג",
+      "timestamp": "חותמת זמן",
+      "tag": "תג",
+      "message": "הודעה"
+    },
+    "tips": "יומני רישום מוצגים בזרימה מהשרת",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "שגיאה באחזור לוגים: {{errorMessage}}",
+        "whileStreamingLogs": "שגיאה בעת הזרמת לוגים: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "כללי",
+    "detector": {
+      "title": "גלאים",
+      "inferenceSpeed": "מהירות זיהוי",
+      "temperature": "טמפרטורת הגלאי",
+      "cpuUsage": "ניצול מעבד על ידי הגלאי",
+      "memoryUsage": "שימוש בזיכרון על ידי הגלאי"
+    },
+    "hardwareInfo": {
+      "gpuMemory": "זיכרון GPU",
+      "title": "מידע על החומרה",
+      "gpuUsage": "שימוש GPU",
+      "gpuEncoder": "מקודד GPU",
+      "gpuDecoder": "מפענח GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "פלט Vainfo",
+          "returnCode": "קוד החזרה: {{code}}",
+          "processOutput": "פלט תהליך:",
+          "processError": "שגיאת תהליך:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "פלט SMI של Nvidia",
+          "name": "שם: {{name}}",
+          "driver": "מנהל התקן: {{driver}}",
+          "cudaComputerCapability": "יכולת חישוב CUDA: {{cuda_compute}}",
+          "vbios": "מידע על VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "סגור את המידע על ה-GPU"
+        },
+        "copyInfo": {
+          "label": "העתק מידע על GPU"
+        },
+        "toast": {
+          "success": "מידע על ה-GPU הועתק ללוח"
+        }
+      },
+      "npuUsage": "שימוש ב-NPU",
+      "npuMemory": "NPU זיכרון"
+    },
+    "otherProcesses": {
+      "title": "תהליכים אחרים",
+      "processCpuUsage": "ניצול CPU של התהליך",
+      "processMemoryUsage": "ניצול זיכרון של תהליך"
+    }
+  },
+  "enrichments": {
+    "infPerSecond": "מספר הסקות בשנייה",
+    "title": "העשרה",
+    "embeddings": {
+      "image_embedding": "הטמעת תמונה",
+      "text_embedding": "הטמעת טקסט",
+      "face_recognition": "זיהוי פנים",
+      "plate_recognition": "זיהוי לוחית רישוי",
+      "image_embedding_speed": "מהירות הטמעת תמונה",
+      "face_embedding_speed": "מהירות הטמעת פנים",
+      "face_recognition_speed": "מהירות זיהוי פנים",
+      "plate_recognition_speed": "מהירות זיהוי לוחית",
+      "text_embedding_speed": "מהירות הטמעת טקסט",
+      "yolov9_plate_detection_speed": "מהירות זיהוי לוחיות YOLOv9",
+      "yolov9_plate_detection": "זיהוי לוחיות YOLOv9"
+    }
+  },
+  "storage": {
+    "cameraStorage": {
+      "storageUsed": "אחסון",
+      "percentageOfTotalUsed": "אחוז מהסך הכל",
+      "bandwidth": "רוחב פס",
+      "unused": {
+        "title": "לא בשימוש",
+        "tips": "ייתכן שערך זה לא מייצג במדויק את השטח הפנוי הזמין ל-Frigate אם יש לך קבצים אחרים המאוחסנים בכונן שלך מעבר להקלטות של Frigate. Frigate אינו עוקב אחר ניצול האחסון מלבד להקלטות שלו."
+      },
+      "title": "אחסון מצלמה",
+      "camera": "מצלמה",
+      "unusedStorageInformation": "מידע על אחסון שאינו בשימוש"
+    },
+    "title": "אחסון",
+    "overview": "סקירה כללית",
+    "recordings": {
+      "title": "הקלטות",
+      "earliestRecording": "ההקלטה המוקדמת ביותר הזמינה:",
+      "tips": "ערך זה מייצג את סך האחסון בו משתמשים ההקלטות במסד הנתונים של Frigate. Frigate אינו עוקב אחר ניצול האחסון עבור כל הקבצים בדיסק שלך."
+    }
+  },
+  "cameras": {
+    "title": "מצלמות",
+    "overview": "סקירה כללית",
+    "info": {
+      "aspectRatio": "יחס גובה-רוחב",
+      "cameraProbeInfo": "פרטי בדיקה של מצלמה {{camera}}",
+      "streamDataFromFFPROBE": "נתוני השידור מתקבלים באמצעות <code>ffprobe</code>.",
+      "fetching": "טוען נתוני מצלמה",
+      "stream": "זרם {{idx}}",
+      "video": "וידיאו:",
+      "codec": "מקודד:",
+      "resolution": "רזולוציה:",
+      "fps": "פריימים לשניה:",
+      "audio": "קול:",
+      "error": "שגיאה: {{error}}",
+      "tips": {
+        "title": "טוען נתוני מצלמה"
+      },
+      "unknown": "לא ידוע"
+    },
+    "label": {
+      "detect": "גילוי",
+      "skipped": "דילוג",
+      "ffmpeg": "FFmpeg",
+      "overallDetectionsPerSecond": "סך כל הזיהויים לשנייה",
+      "overallSkippedDetectionsPerSecond": "סה״כ זיהויים שדולגו לשנייה",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} לכידה",
+      "cameraDetect": "זיהוי {{camName}}",
+      "cameraDetectionsPerSecond": "מספר הזיהויים של {{camName}} לשנייה",
+      "cameraSkippedDetectionsPerSecond": "כמות הזיהויים שדולגו בשנייה – {{camName}}",
+      "capture": "לכידה",
+      "cameraFramesPerSecond": "{{camName}} פריימים לשנייה",
+      "camera": "מצלמה",
+      "overallFramesPerSecond": "סך כל הפריימים לשנייה"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "העתקת נתוני הבדיקה בוצעה בהצלחה."
+      },
+      "error": {
+        "unableToProbeCamera": "לא ניתן לבדוק את המצלמה: {{errorMessage}}"
+      }
+    },
+    "framesAndDetections": "פריימים / זיהויים"
+  }
+}
diff --git a/web/public/locales/hi/audio.json b/web/public/locales/hi/audio.json
new file mode 100644
index 000000000..afffaf44a
--- /dev/null
+++ b/web/public/locales/hi/audio.json
@@ -0,0 +1,143 @@
+{
+  "babbling": "बड़बड़ाना",
+  "yell": "चिल्लाना",
+  "whispering": "फुसफुसाना",
+  "crying": "रोना",
+  "laughter": "हँसना",
+  "singing": "गाना",
+  "chant": "जपना",
+  "mantra": "मंत्र",
+  "run": "भागना",
+  "sniff": "सूँघना",
+  "sneeze": "छींंकना",
+  "whistling": "सीटी बजाना",
+  "speech": "बोलना",
+  "sigh": "आह भरना",
+  "humming": "गुनगुनाना",
+  "child_singing": "बच्चे का गाना",
+  "groan": "कराहना",
+  "breathing": "साँस लेना",
+  "snoring": "खर्राटे लेना",
+  "cough": "खाँसना",
+  "throat_clearing": "गला साफ़ करना",
+  "footsteps": "कदमों की आहट",
+  "chewing": "चबाना",
+  "biting": "काटना",
+  "gargling": "गरारे करना",
+  "stomach_rumble": "पेट की गुड़गुड़ाहट",
+  "burping": "डकारना",
+  "hiccup": "हिचकी",
+  "fart": "पादना",
+  "heartbeat": "धड़कन",
+  "cheering": "जयकार करना",
+  "pets": "पालतू जानवर",
+  "animal": "जानवर",
+  "children_playing": "बच्चों का खेलना",
+  "crowd": "भीड़",
+  "dog": "कुत्ता",
+  "hiss": "फुफकारना",
+  "neigh": "हिनहिनाना",
+  "cattle": "मवेशी",
+  "moo": "रंभाहट",
+  "goat": "बकरी",
+  "bleat": "मेमियाहट",
+  "hands": "हाथ",
+  "pig": "सुअर",
+  "clapping": "ताली बजाना",
+  "chatter": "गपशप",
+  "finger_snapping": "उँगलियाँ चटकाना",
+  "bark": "भौंकना",
+  "cowbell": "गाय की घंटी",
+  "sheep": "भेड़",
+  "yip": "कूँकना",
+  "livestock": "पशुधन",
+  "horse": "घोड़ा",
+  "cat": "बिल्ली",
+  "chicken": "मुर्गी",
+  "wild_animals": "जंगली जानवर",
+  "bird": "पक्षी",
+  "chirp": "चहचहाना",
+  "roar": "दहाड़ना",
+  "pigeon": "कबूतर",
+  "crow": "कौआ",
+  "flapping_wings": "पंख फड़फड़ाना",
+  "dogs": "कुत्ते",
+  "insect": "कीड़ा",
+  "patter": "पटपटाहट",
+  "cymbal": "झांझ",
+  "tambourine": "डफली",
+  "orchestra": "वाद्यवृंद",
+  "wind_instrument": "वायु वाद्ययंत्र",
+  "bowed_string_instrument": "धनुष तार वाद्ययंत्र",
+  "harp": "हार्प",
+  "bell": "घंटी",
+  "church_bell": "गिरजाघर का घंटा",
+  "accordion": "अकोर्डियन",
+  "opera": "ओपेरा",
+  "disco": "डिस्को",
+  "jazz": "जैज़",
+  "dubstep": "डबस्टेप",
+  "song": "गीत",
+  "lullaby": "लोरी",
+  "sad_music": "दुखभरा संगीत",
+  "tender_music": "कोमल संगीत",
+  "wind": "हवा",
+  "wind_noise": "हवा की आवाज़",
+  "thunderstorm": "आंधी-तूफ़ान",
+  "thunder": "गर्जना",
+  "water": "पानी",
+  "rain": "बारिश",
+  "rain_on_surface": "सतह पर गिरती बारिश",
+  "waterfall": "झरना",
+  "ocean": "सागर",
+  "waves": "लहरें",
+  "stream": "धारा",
+  "steam": "भाप",
+  "vehicle": "वाहन",
+  "car": "गाड़ी",
+  "boat": "नाव",
+  "ship": "जहाज़",
+  "truck": "ट्रक",
+  "bus": "बस",
+  "motor_vehicle": "मोटर वाहन",
+  "motorboat": "इंजन वाली नाव",
+  "sailboat": "पाल वाली नाव",
+  "police_car": "पुलिस की गाड़ी",
+  "saxophone": "सैक्सोफोन",
+  "sitar": "सितार",
+  "music": "संगीत",
+  "snake": "साँप",
+  "mouse": "चूहा",
+  "wedding_music": "शादी का संगीत",
+  "buzz": "भनभनाहट",
+  "fire": "आग",
+  "caw": "कांव कांव करना",
+  "owl": "उल्लू",
+  "mosquito": "मच्छर",
+  "scary_music": "डरावना संगीत",
+  "duck": "बतख",
+  "hoot": "उल्लू की आवाज़",
+  "rustling_leaves": "खड़खड़ाते पत्ते",
+  "rats": "चूहे",
+  "cricket": "झिंगुर",
+  "fly": "मक्खी",
+  "frog": "मेंढक",
+  "croak": "टर्राना",
+  "guitar": "गिटार",
+  "tabla": "तबला",
+  "trumpet": "तुरही",
+  "brass_instrument": "पीतल वाद्ययंत्र",
+  "flute": "बाँसुरी",
+  "clarinet": "क्लैरिनेट",
+  "bicycle_bell": "साइकिल की घंटी",
+  "harmonica": "हारमोनिका",
+  "bagpipes": "बैगपाइप",
+  "angry_music": "क्रोधित संगीत",
+  "music_of_bollywood": "बॉलीवुड संगीत",
+  "happy_music": "खुशहाल संगीत",
+  "exciting_music": "रोमांचक संगीत",
+  "raindrop": "बारिश की बूंद",
+  "rowboat": "चप्पू वाली नाव",
+  "aircraft": "विमान",
+  "bicycle": "साइकिल"
+}
diff --git a/web/public/locales/hi/common.json b/web/public/locales/hi/common.json
new file mode 100644
index 000000000..392c9a844
--- /dev/null
+++ b/web/public/locales/hi/common.json
@@ -0,0 +1,7 @@
+{
+  "time": {
+    "untilForTime": "{{time}} तक",
+    "untilForRestart": "जब तक फ्रिगेट पुनः रीस्टार्ट नहीं हो जाता।",
+    "untilRestart": "रीस्टार्ट होने में"
+  }
+}
diff --git a/web/public/locales/hi/components/auth.json b/web/public/locales/hi/components/auth.json
new file mode 100644
index 000000000..c58f433de
--- /dev/null
+++ b/web/public/locales/hi/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "पासवर्ड",
+    "login": "प्रवेश करें",
+    "errors": {
+      "passwordRequired": "पासवर्ड आवश्यक है",
+      "rateLimit": "दर सीमा पार हो गई है। बाद में पुनः प्रयास करें।",
+      "unknownError": "अज्ञात त्रुटि। प्रविष्टियाँ जांचें।",
+      "usernameRequired": "प्रयोक्ता नाम आवश्यक है",
+      "webUnknownError": "अज्ञात त्रुटि। कंसोल प्रविष्टियाँ जांचें।",
+      "loginFailed": "लॉगिन असफल हुआ"
+    },
+    "user": "प्रयोक्ता नाम"
+  }
+}
diff --git a/web/public/locales/hi/components/camera.json b/web/public/locales/hi/components/camera.json
new file mode 100644
index 000000000..37c5b27ed
--- /dev/null
+++ b/web/public/locales/hi/components/camera.json
@@ -0,0 +1,7 @@
+{
+  "group": {
+    "label": "कैमरा समूह",
+    "add": "कैमरा समूह जोड़ें",
+    "edit": "कैमरा समूह संपादित करें"
+  }
+}
diff --git a/web/public/locales/hi/components/dialog.json b/web/public/locales/hi/components/dialog.json
new file mode 100644
index 000000000..dce6983b5
--- /dev/null
+++ b/web/public/locales/hi/components/dialog.json
@@ -0,0 +1,9 @@
+{
+  "restart": {
+    "title": "क्या आप निश्चित हैं कि आप फ्रिगेट को रीस्टार्ट करना चाहते हैं?",
+    "button": "रीस्टार्ट",
+    "restarting": {
+      "title": "फ्रिगेट रीस्टार्ट हो रहा है"
+    }
+  }
+}
diff --git a/web/public/locales/hi/components/filter.json b/web/public/locales/hi/components/filter.json
new file mode 100644
index 000000000..214179375
--- /dev/null
+++ b/web/public/locales/hi/components/filter.json
@@ -0,0 +1,9 @@
+{
+  "filter": "फ़िल्टर",
+  "labels": {
+    "label": "लेबल",
+    "all": {
+      "title": "सभी लेबल"
+    }
+  }
+}
diff --git a/web/public/locales/hi/components/icons.json b/web/public/locales/hi/components/icons.json
new file mode 100644
index 000000000..7f5236e6b
--- /dev/null
+++ b/web/public/locales/hi/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "चिह्न चुनें",
+    "search": {
+      "placeholder": "चिह्न खोजें..।"
+    }
+  }
+}
diff --git a/web/public/locales/hi/components/input.json b/web/public/locales/hi/components/input.json
new file mode 100644
index 000000000..13b65c133
--- /dev/null
+++ b/web/public/locales/hi/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "वीडियो डाउनलोड करें",
+      "toast": {
+        "success": "आपकी समीक्षा वीडियो डाउनलोड होना शुरू हो गई है।"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/hi/components/player.json b/web/public/locales/hi/components/player.json
new file mode 100644
index 000000000..9b4ed4389
--- /dev/null
+++ b/web/public/locales/hi/components/player.json
@@ -0,0 +1,5 @@
+{
+  "noRecordingsFoundForThisTime": "इस समय का कोई रिकॉर्डिंग नहीं मिला",
+  "noPreviewFound": "कोई प्रीव्यू नहीं मिला",
+  "noPreviewFoundFor": "{{cameraName}} के लिए कोई पूर्वावलोकन नहीं मिला"
+}
diff --git a/web/public/locales/hi/objects.json b/web/public/locales/hi/objects.json
new file mode 100644
index 000000000..436a57668
--- /dev/null
+++ b/web/public/locales/hi/objects.json
@@ -0,0 +1,17 @@
+{
+  "horse": "घोड़ा",
+  "sheep": "भेड़",
+  "bark": "भौंकना",
+  "animal": "जानवर",
+  "dog": "कुत्ता",
+  "cat": "बिल्ली",
+  "goat": "बकरी",
+  "boat": "नाव",
+  "bus": "बस",
+  "bird": "पक्षी",
+  "mouse": "चूहा",
+  "vehicle": "वाहन",
+  "car": "गाड़ी",
+  "person": "व्यक्ति",
+  "bicycle": "साइकिल"
+}
diff --git a/web/public/locales/hi/views/configEditor.json b/web/public/locales/hi/views/configEditor.json
new file mode 100644
index 000000000..784f8ec46
--- /dev/null
+++ b/web/public/locales/hi/views/configEditor.json
@@ -0,0 +1,15 @@
+{
+  "saveOnly": "केवल सहेजें",
+  "saveAndRestart": "सहेजें और पुनः प्रारंभ करें",
+  "configEditor": "विन्यास संपादक",
+  "copyConfig": "विन्यास कॉपी करें",
+  "toast": {
+    "error": {
+      "savingError": "विन्यास सहेजने में त्रुटि हुई"
+    },
+    "success": {
+      "copyToClipboard": "विन्यास क्लिपबोर्ड पर कॉपी कर लिया गया है।"
+    }
+  },
+  "documentTitle": "विन्यास संपादक - Frigate"
+}
diff --git a/web/public/locales/hi/views/events.json b/web/public/locales/hi/views/events.json
new file mode 100644
index 000000000..b6fba2aa1
--- /dev/null
+++ b/web/public/locales/hi/views/events.json
@@ -0,0 +1,4 @@
+{
+  "alerts": "अलर्टस",
+  "detections": "खोजें"
+}
diff --git a/web/public/locales/hi/views/explore.json b/web/public/locales/hi/views/explore.json
new file mode 100644
index 000000000..bb214ba12
--- /dev/null
+++ b/web/public/locales/hi/views/explore.json
@@ -0,0 +1,4 @@
+{
+  "documentTitle": "अन्वेषण करें - फ्रिगेट",
+  "generativeAI": "जनरेटिव ए आई"
+}
diff --git a/web/public/locales/hi/views/exports.json b/web/public/locales/hi/views/exports.json
new file mode 100644
index 000000000..97a0f0e53
--- /dev/null
+++ b/web/public/locales/hi/views/exports.json
@@ -0,0 +1,4 @@
+{
+  "documentTitle": "निर्यात - फ्रिगेट",
+  "search": "खोजें"
+}
diff --git a/web/public/locales/hi/views/faceLibrary.json b/web/public/locales/hi/views/faceLibrary.json
new file mode 100644
index 000000000..5c8de952e
--- /dev/null
+++ b/web/public/locales/hi/views/faceLibrary.json
@@ -0,0 +1,6 @@
+{
+  "description": {
+    "addFace": "फेस लाइब्रेरी में नया संग्रह जोड़ने की प्रक्रिया को आगे बढ़ाएं।",
+    "placeholder": "इस संग्रह का नाम बताएं"
+  }
+}
diff --git a/web/public/locales/hi/views/live.json b/web/public/locales/hi/views/live.json
new file mode 100644
index 000000000..86d2a9235
--- /dev/null
+++ b/web/public/locales/hi/views/live.json
@@ -0,0 +1,4 @@
+{
+  "documentTitle": "लाइव - फ्रिगेट",
+  "documentTitle.withCamera": "{{camera}} - लाइव - फ्रिगेट"
+}
diff --git a/web/public/locales/hi/views/recording.json b/web/public/locales/hi/views/recording.json
new file mode 100644
index 000000000..a9846e445
--- /dev/null
+++ b/web/public/locales/hi/views/recording.json
@@ -0,0 +1,11 @@
+{
+  "calendar": "पंचांग",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "कोई मान्य समय सीमा चयनित नहीं है",
+      "endTimeMustAfterStartTime": "समाप्ति समय प्रारंभ समय के बाद होना चाहिए"
+    }
+  },
+  "export": "निर्यात",
+  "filter": "फ़िल्टर"
+}
diff --git a/web/public/locales/hi/views/search.json b/web/public/locales/hi/views/search.json
new file mode 100644
index 000000000..b38dd11af
--- /dev/null
+++ b/web/public/locales/hi/views/search.json
@@ -0,0 +1,4 @@
+{
+  "search": "खोजें",
+  "savedSearches": "सहेजी गई खोजें"
+}
diff --git a/web/public/locales/hi/views/settings.json b/web/public/locales/hi/views/settings.json
new file mode 100644
index 000000000..5fe3a3233
--- /dev/null
+++ b/web/public/locales/hi/views/settings.json
@@ -0,0 +1,6 @@
+{
+  "documentTitle": {
+    "default": "सेटिंग्स - फ्रिगेट",
+    "authentication": "प्रमाणीकरण सेटिंग्स - फ्रिगेट"
+  }
+}
diff --git a/web/public/locales/hi/views/system.json b/web/public/locales/hi/views/system.json
new file mode 100644
index 000000000..b29ff9abb
--- /dev/null
+++ b/web/public/locales/hi/views/system.json
@@ -0,0 +1,6 @@
+{
+  "documentTitle": {
+    "cameras": "कैमरा आँकड़े - फ्रिगेट",
+    "storage": "भंडारण आँकड़े - फ्रिगेट"
+  }
+}
diff --git a/web/public/locales/hu/audio.json b/web/public/locales/hu/audio.json
new file mode 100644
index 000000000..7d5d49bf9
--- /dev/null
+++ b/web/public/locales/hu/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Beszéd",
+  "wild_animals": "Vadállatok",
+  "synthetic_singing": "Szintetikus éneklés",
+  "cheering": "Éljenzés",
+  "chatter": "Csevegés",
+  "bird": "Madár",
+  "babbling": "Gügyögés",
+  "yell": "Kiabálás",
+  "whispering": "Suttogás",
+  "laughter": "Nevetés",
+  "bellow": "Ordítás",
+  "whoop": "Ujjongás",
+  "snicker": "Kuncogás",
+  "crying": "Sírás",
+  "sigh": "Sóhajtás",
+  "singing": "Éneklés",
+  "choir": "Kórus",
+  "yodeling": "Jódlizás",
+  "chant": "Dalolás",
+  "mantra": "Mantrázás",
+  "child_singing": "Gyermek éneklés",
+  "rapping": "Rappelés",
+  "groan": "Nyögés",
+  "grunt": "Morgás",
+  "whistling": "Fütyülés",
+  "breathing": "Légzés",
+  "wheeze": "Zihálás",
+  "snoring": "Horkolás",
+  "gasp": "Lihegés",
+  "pant": "Lihegés",
+  "snort": "Horkantás",
+  "cough": "Köhögés",
+  "sneeze": "Tüsszentés",
+  "sniff": "Szimatolás",
+  "run": "Futás",
+  "shuffle": "Csoszogás",
+  "footsteps": "Lépés",
+  "chewing": "Rágás",
+  "biting": "Maró",
+  "gargling": "Gargalizálás",
+  "burping": "Böfögés",
+  "hiccup": "Csuklás",
+  "fart": "Szellentés",
+  "hands": "Kezek",
+  "finger_snapping": "Csettintés",
+  "clapping": "Tapsolás",
+  "heartbeat": "Szívdobbanás",
+  "heart_murmur": "Szívzörej",
+  "applause": "Taps",
+  "crowd": "Tömeg",
+  "children_playing": "Gyerekek játszanak",
+  "pets": "Háziállatok",
+  "dog": "Kutya",
+  "bark": "Ugatás",
+  "yip": "Csaholás",
+  "howl": "Bömbölés",
+  "bow_wow": "Vau vau",
+  "growling": "Morgás",
+  "whimper_dog": "Kutya nyüszítés",
+  "cat": "Macska",
+  "purr": "Dorombolás",
+  "meow": "Nyávogás",
+  "hiss": "Sziszegés",
+  "caterwaul": "Nyivákolás",
+  "livestock": "Állatállomány",
+  "horse": "Ló",
+  "clip_clop": "Lódobogás",
+  "neigh": "Nyerítés",
+  "cattle": "Marha",
+  "moo": "Tehénbőgés",
+  "cowbell": "Kolomp",
+  "pig": "Disznó",
+  "oink": "Disznó röfögés",
+  "goat": "Kecske",
+  "bleat": "Bégetés",
+  "sheep": "Juh",
+  "fowl": "Szárnyas",
+  "chicken": "Csirke",
+  "cluck": "Kotkodácsolás",
+  "cock_a_doodle_doo": "Kukorékolás",
+  "turkey": "Pulyka",
+  "gobble": "Kurrogás",
+  "duck": "Kacsa",
+  "quack": "Hápogás",
+  "honk": "Gágogás",
+  "roaring_cats": "Ordító macskák",
+  "roar": "Üvöltés",
+  "chirp": "Csiripelés",
+  "squawk": "Rikácsolás",
+  "pigeon": "Galamb",
+  "coo": "Turbékolás",
+  "crow": "Varjú",
+  "caw": "Károgás",
+  "owl": "Bagoly",
+  "hoot": "Huhogás",
+  "flapping_wings": "Csapkodó szárnyak",
+  "dogs": "Kutyák",
+  "rats": "Patkányok",
+  "mouse": "Egér",
+  "patter": "Kopog",
+  "insect": "Rovar",
+  "cricket": "Tücsök",
+  "mosquito": "Szúnyog",
+  "fly": "Légy",
+  "buzz": "Zümmögés",
+  "frog": "Béka",
+  "croak": "Brekegés",
+  "snake": "Kígyó",
+  "rattle": "Csörgés",
+  "whale_vocalization": "Bálna bőgés",
+  "music": "Zene",
+  "musical_instrument": "Hangszer",
+  "plucked_string_instrument": "Pengetős hangszer",
+  "guitar": "Gitár",
+  "electric_guitar": "Elektromos gitár",
+  "bass_guitar": "Basszusgitár",
+  "acoustic_guitar": "Akusztikus gitár",
+  "steel_guitar": "Acél gitár",
+  "tapping": "Tappelés",
+  "strum": "Zongora verés",
+  "mandolin": "Mandolin",
+  "banjo": "Bendzsó",
+  "zither": "Citera",
+  "sitar": "Szitár",
+  "ukulele": "Ukulele",
+  "keyboard": "Szintetizátor",
+  "piano": "Zongora",
+  "electric_piano": "Elektromos zongora",
+  "organ": "Orgona",
+  "hammond_organ": "Hammond orgona",
+  "electronic_organ": "Elektromos orgona",
+  "synthesizer": "Szintetizátor",
+  "sampler": "Sampler",
+  "harpsichord": "Csembaló",
+  "percussion": "Ütős hangszer",
+  "drum_kit": "Dobszerkó",
+  "drum_machine": "Dobgép",
+  "drum": "Dob",
+  "snare_drum": "Pergődob",
+  "rimshot": "Peremütés",
+  "drum_roll": "Dobpergés",
+  "timpani": "Üstdob",
+  "bass_drum": "Basszusdob",
+  "tabla": "Tablá",
+  "cymbal": "Cintányér",
+  "hi_hat": "Lábcin",
+  "boat": "Hajó",
+  "car": "Autó",
+  "bus": "Busz",
+  "motorcycle": "Motor",
+  "train": "Vonat",
+  "bicycle": "Bicikli",
+  "scream": "Sikoly",
+  "throat_clearing": "Torokköszörülés",
+  "stomach_rumble": "Gyomorkorgás",
+  "animal": "Állat",
+  "goose": "Liba",
+  "humming": "Zümmögés",
+  "skateboard": "Gördeszka",
+  "door": "Ajtó",
+  "camera": "Kamera",
+  "ship": "Hajó",
+  "car_alarm": "Autó riasztó",
+  "truck": "Teherautó",
+  "race_car": "Versenyautó",
+  "ambulance": "Mentő",
+  "police_car": "Rendőrautó",
+  "ice_cream_truck": "Jégkrémes autó",
+  "traffic_noise": "Forgalom zaja",
+  "helicopter": "Helikopter",
+  "propeller": "Propeller",
+  "subway": "Metró",
+  "chainsaw": "Láncfűrész",
+  "lawn_mower": "Fűnyíró",
+  "dental_drill's_drill": "Fogászati Fúró",
+  "engine": "Motor",
+  "doorbell": "Csengő",
+  "accelerating": "Gyorsítás",
+  "engine_starting": "Motor indítás",
+  "water_tap": "Csapvíz",
+  "blender": "Pépesítő gép",
+  "microwave_oven": "Mikrohullámú sütő",
+  "cutlery": "Evőeszköz",
+  "dishes": "Edények",
+  "alarm": "Vészjelző",
+  "writing": "Írás",
+  "computer_keyboard": "Billentyűzet",
+  "typewriter": "Írógép",
+  "typing": "Gépelés",
+  "electric_shaver": "Villanyborotva",
+  "scissors": "Olló",
+  "coin": "Érme",
+  "vacuum_cleaner": "Porszívó",
+  "electric_toothbrush": "Elektromos fogkefe",
+  "toothbrush": "Fogkefe",
+  "toilet_flush": "WC lehúzás",
+  "hair_dryer": "Hajszárító",
+  "bathtub": "Fürdőkád",
+  "sink": "Mosdókagyló",
+  "ringtone": "Csengőhang",
+  "telephone_bell_ringing": "Telefon csörgés",
+  "telephone": "Telefon",
+  "siren": "Sziréna",
+  "alarm_clock": "Ébresztőóra",
+  "busy_signal": "Foglalt jelzés",
+  "dial_tone": "Hívás hang",
+  "clock": "Óra",
+  "fire_alarm": "Tűzjelző",
+  "smoke_detector": "Füst érzékelő",
+  "hammer": "Kalapács",
+  "printer": "Nyomtató",
+  "cash_register": "Pénztárgép",
+  "air_conditioning": "Légkondícionálás",
+  "sawing": "Fűrészelés",
+  "machine_gun": "Gépfegyver",
+  "gunshot": "Pisztoly lövés",
+  "explosion": "Robbanás",
+  "drill": "Fúrás",
+  "glass": "Üveg",
+  "wood": "Fa",
+  "fireworks": "Tűzijáték",
+  "white_noise": "Fehér zaj",
+  "static": "Statikus",
+  "environmental_noise": "Környezeti Zaj",
+  "sound_effect": "Hang effekt",
+  "silence": "Csend",
+  "radio": "Rádió",
+  "television": "Televízió",
+  "pink_noise": "Rózsaszín zaj",
+  "gong": "Gong",
+  "saxophone": "Szaxofon",
+  "cello": "Cselló",
+  "violin": "Hegedű",
+  "harmonica": "Harmónika",
+  "wind_chime": "Szélcsengő",
+  "bicycle_bell": "Bicikli Csengő",
+  "church_bell": "Templomi Harang",
+  "bell": "Harang",
+  "didgeridoo": "Didzseridú",
+  "heavy_metal": "Heavy Metál",
+  "rock_music": "Rock Zene",
+  "beatboxing": "Beatboxolás",
+  "hip_hop_music": "Hip-Hop Zene",
+  "pop_music": "Pop Zene",
+  "soul_music": "Soul Zene",
+  "rhythm_and_blues": "Ritmus és Blues",
+  "psychedelic_rock": "Pszichedelikus Rock",
+  "rock_and_roll": "Rock and Roll",
+  "folk_music": "Népzene",
+  "funk": "Funky",
+  "classical_music": "Klasszikus Zene",
+  "disco": "Diszkó",
+  "jazz": "Jazz",
+  "middle_eastern_music": "Közép-Keleti Zene",
+  "drum_and_bass": "Drum and Bass",
+  "dubstep": "Dubstep",
+  "techno": "Techno",
+  "opera": "Opera",
+  "music_of_latin_america": "Latin-amerikai Zene",
+  "trance_music": "Trance Zene",
+  "a_capella": "A Capella",
+  "music_for_children": "Zene Gyerekeknek",
+  "blues": "Blues",
+  "flamenco": "Flamenco",
+  "music_of_bollywood": "Bollywood-i Zene",
+  "music_of_asia": "Ázsiai Zene",
+  "gospel_music": "Gospel Zene",
+  "christian_music": "Keresztény Zene",
+  "music_of_africa": "Afrikai Zene",
+  "background_music": "Háttérzene",
+  "song": "Dal",
+  "independent_music": "Független Zene",
+  "ska": "Ska",
+  "happy_music": "Boldog Zene",
+  "wedding_music": "Házassági Zene",
+  "dance_music": "Tánc Zene",
+  "christmas_music": "Karácsonyi Zene",
+  "video_game_music": "Videojáték Zene",
+  "water": "Víz",
+  "thunder": "Villám",
+  "wind_noise": "Szél Zaj",
+  "wind": "Szél",
+  "angry_music": "Mérges Zene",
+  "sad_music": "Szomorú Zene",
+  "waves": "Hullámok",
+  "ocean": "Óceán",
+  "waterfall": "Vízesés",
+  "stream": "Adás",
+  "rain_on_surface": "Eső a Felületen",
+  "raindrop": "Esőcsepp",
+  "rain": "Eső",
+  "vehicle": "Jármű",
+  "fire": "Tűz",
+  "motorboat": "Motorcsónak",
+  "car_passing_by": "Áthaladó autó",
+  "house_music": "House Zene",
+  "electronic_music": "Elektronikus Zene",
+  "salsa_music": "Salsa Zene",
+  "progressive_rock": "Progresszív Rock",
+  "grunge": "Grunge",
+  "swing_music": "Swing Zene",
+  "country": "Ország",
+  "reggae": "Reggae",
+  "punk_rock": "Punk Rock",
+  "clarinet": "Klarinét",
+  "wood_block": "Fa hasáb",
+  "tambourine": "Csörgődob",
+  "maraca": "Maraca",
+  "tubular_bells": "Csőharang",
+  "mallet_percussion": "Kalapácsos ütőhangszer",
+  "marimba": "Marimba",
+  "glockenspiel": "Harangjáték",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Stíldob",
+  "orchestra": "Zenekar",
+  "brass_instrument": "Rézfúvós Hangszer",
+  "french_horn": "Francia Kürt",
+  "trumpet": "Trombita",
+  "trombone": "Harsona",
+  "bowed_string_instrument": "Vonós Hangszer",
+  "string_section": "Vonós szekció",
+  "pizzicato": "Pizzicato",
+  "double_bass": "Nagybőgő",
+  "wind_instrument": "Fúvós Hangszer",
+  "flute": "Fuvola",
+  "harp": "Hárfa",
+  "jingle_bell": "Csengő",
+  "tuning_fork": "Hangvilla",
+  "chime": "Harangjáték",
+  "accordion": "Harmónika",
+  "bagpipes": "Skótduda",
+  "theremin": "Teremin",
+  "singing_bowl": "Éneklőtál",
+  "scratching": "Scratchelés",
+  "bluegrass": "Bluegrass",
+  "electronica": "Elektronika",
+  "electronic_dance_music": "Elektronikus Tánczene",
+  "ambient_music": "Ambient Zene",
+  "new-age_music": "New Age Zene",
+  "vocal_music": "Ének Zene",
+  "afrobeat": "Afrobeat",
+  "carnatic_music": "Carnatic Zene",
+  "traditional_music": "Népzene",
+  "theme_music": "Filmzene",
+  "jingle": "Reklámzene",
+  "soundtrack_music": "Zeneszám",
+  "lullaby": "Altatódal",
+  "tender_music": "Tender Zene",
+  "exciting_music": "Izgalmas Zene",
+  "scary_music": "Ijesztő Zene",
+  "rustling_leaves": "Susogó Levelek",
+  "thunderstorm": "Zivatar",
+  "steam": "Gőz",
+  "gurgling": "Gurgulázás",
+  "crackle": "Sercegés",
+  "sailboat": "Vitorláshajó",
+  "rowboat": "Csónak",
+  "motor_vehicle": "Motorkerékpár",
+  "toot": "Fújás",
+  "power_windows": "Elektromos ablakok",
+  "skidding": "csúszás",
+  "tire_squeal": "Kerékcsikorgás",
+  "air_brake": "Légfék",
+  "air_horn": "Légkürt",
+  "reversing_beeps": "Tolató csipogás",
+  "emergency_vehicle": "Sürgősségi jármű",
+  "fire_engine": "Tűzoltóautó",
+  "rail_transport": "Vasúti közlekedés",
+  "train_whistle": "Vonatsíp",
+  "train_horn": "Vonatkürt",
+  "railroad_car": "Vasúti kocsi",
+  "train_wheels_squealing": "Vonatkerék csikorgás",
+  "aircraft": "Repülő",
+  "aircraft_engine": "Repülő motor",
+  "jet_engine": "Sugárhajtású motor",
+  "fixed-wing_aircraft": "Szárnyas repülőgép",
+  "light_engine": "Kis motor",
+  "medium_engine": "Közepes motor",
+  "heavy_engine": "Nagy motor",
+  "engine_knocking": "Kopogó motor",
+  "idling": "Alapjárat",
+  "ding-dong": "Ding-Dong",
+  "sliding_door": "Tolóajtó",
+  "slam": "Csapódás",
+  "knock": "Kopogás",
+  "tap": "Finom kopogás",
+  "squeak": "Csipogás",
+  "cupboard_open_or_close": "Szekrény nyitás, vagy zárás",
+  "drawer_open_or_close": "Fiók nyitás vagy zárás",
+  "chopping": "Vágás",
+  "frying": "Sütés",
+  "zipper": "Cipzár",
+  "keys_jangling": "Kulcsok csörgése",
+  "shuffling_cards": "Kártyakeverés",
+  "telephone_dialing": "Telefonos tárcsázás",
+  "civil_defense_siren": "Rendvédelmi sziréna",
+  "buzzer": "Búgó eszköz",
+  "foghorn": "Ködkürt",
+  "whistle": "Síp",
+  "steam_whistle": "Gőzsíp",
+  "mechanisms": "Mechanikus alkatrészek",
+  "ratchet": "Racsni",
+  "tick": "Bolha",
+  "tick-tock": "Ketyegés",
+  "gears": "Fogaskerekek",
+  "pulleys": "emelő csigák",
+  "sewing_machine": "Varrógép",
+  "mechanical_fan": "Ventillátor",
+  "single-lens_reflex_camera": "Egylencsés reflexkamera",
+  "tools": "Eszközök",
+  "jackhammer": "Bontókalapács",
+  "filing": "Iratrendezés",
+  "sanding": "Csiszolás",
+  "power_tool": "Munkagép",
+  "fusillade": "Sortűz",
+  "artillery_fire": "Tüzérségi tűz",
+  "cap_gun": "Kupakos pisztoly",
+  "firecracker": "Petárda",
+  "burst": "Kitörés (Burst)",
+  "eruption": "Kitörés (Eruption)",
+  "boom": "Bumm",
+  "chop": "Vágás",
+  "splinter": "Repedés (fa)",
+  "crack": "Törés",
+  "chink": "Csörömpölés",
+  "shatter": "Összetörés",
+  "field_recording": "Helyszíni felvétel"
+}
diff --git a/web/public/locales/hu/common.json b/web/public/locales/hu/common.json
new file mode 100644
index 000000000..c45157b38
--- /dev/null
+++ b/web/public/locales/hu/common.json
@@ -0,0 +1,258 @@
+{
+  "time": {
+    "untilForTime": "{{time}} ideig",
+    "s": "{{time}} másodperc",
+    "untilForRestart": "Amíg a Frigate újraindul.",
+    "untilRestart": "Amíg újraindul",
+    "justNow": "Most",
+    "ago": "Ennyi ideje: {{timeAgo}}",
+    "today": "Ma",
+    "yesterday": "Tegnap",
+    "last7": "Elmúlt 7 nap",
+    "last14": "Elmúlt 14 nap",
+    "last30": "Elmúlt 30 nap",
+    "thisWeek": "Ezen a héten",
+    "lastWeek": "Előző héten",
+    "thisMonth": "Ebben a hónapban",
+    "lastMonth": "Előző hónapban",
+    "5minutes": "5 perc",
+    "10minutes": "10 perc",
+    "30minutes": "30 perc",
+    "1hour": "1 óra",
+    "12hours": "12 óra",
+    "24hours": "24 óra",
+    "pm": "du",
+    "am": "de",
+    "yr": "{{time}} év",
+    "mo": "{{time}} hónap",
+    "d": "{{time}} nap",
+    "m": "{{time}} perc",
+    "hour_one": "{{time}} óra",
+    "hour_other": "{{time}} órák",
+    "h": "{{time}} óra",
+    "minute_one": "{{time}} perc",
+    "minute_other": "{{time}} percek",
+    "second_one": "{{time}} másodperc",
+    "second_other": "{{time}} másodpercek",
+    "year_one": "{{time}} év",
+    "year_other": "{{time}} évek",
+    "month_one": "{{time}} hónap",
+    "month_other": "{{time}} hónapok",
+    "day_one": "{{time}} nap",
+    "day_other": "{{time}} napok",
+    "formattedTimestamp": {
+      "24hour": "MMM d, HH:mm:ss",
+      "12hour": "MMM d, h:mm:ss aaa"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "formattedTimestampHourMinute": {
+      "24hour": "HH:mm",
+      "12hour": "h:mm aaa"
+    },
+    "formattedTimestamp2": {
+      "24hour": "d MMM HH:mm:ss",
+      "12hour": "MM/dd h:mm:ssa"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "h:mm:ss aaa"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "24hour": "MMM d yyyy, HH:mm",
+      "12hour": "MMM d yyyy, h:mm aaa"
+    },
+    "formattedTimestampFilename": {
+      "24hour": "yy-MM-dd-HH-mm-ss",
+      "12hour": "yy-MM-dd-h-mm-ss-a"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "24hour": "MMM d, HH:mm",
+      "12hour": "MMM d, h:mm aaa"
+    },
+    "formattedTimestampMonthDay": "MMM d"
+  },
+  "menu": {
+    "darkMode": {
+      "label": "Sötét Mód",
+      "withSystem": {
+        "label": "Használd a rendszerbeállításokat a világos vagy sötét mód megheghatározásához"
+      },
+      "dark": "Sötét",
+      "light": "Világos"
+    },
+    "withSystem": "Rendszer",
+    "theme": {
+      "default": "Alap",
+      "nord": "Nord",
+      "red": "Piros",
+      "highcontrast": "Nagy Kontrasztarány",
+      "label": "Téma",
+      "blue": "Kék",
+      "green": "Zöld"
+    },
+    "documentation": {
+      "title": "Dokumentáció",
+      "label": "Frigate dokumentáció"
+    },
+    "help": "Segítség",
+    "explore": "Felfedezés",
+    "user": {
+      "logout": "Kijelentkezés",
+      "title": "Felhasználó",
+      "account": "Fiók",
+      "current": "Jelenlegi Felhazsnáló: {{user}}",
+      "anonymous": "anoním",
+      "setPassword": "Jelszó Beállítása"
+    },
+    "export": "Exportálás",
+    "language": {
+      "ca": "Katalán",
+      "withSystem": {
+        "label": "Használd a rendszerbeállításoknál megadott nyelvet"
+      },
+      "sk": "Szlovák",
+      "da": "Dán",
+      "yue": "Kantoni",
+      "hi": "Hindi",
+      "vi": "Vietnámi",
+      "fa": "Perzsa",
+      "pl": "Lengyel",
+      "en": "Angol",
+      "es": "Spanyol",
+      "uk": "Ukrán",
+      "ja": "Japán",
+      "tr": "Török",
+      "it": "Olasz",
+      "nl": "Holland",
+      "sv": "Svéd",
+      "he": "Héber",
+      "el": "Görög",
+      "fr": "Francia",
+      "nb": "Norvég",
+      "cs": "Cseh",
+      "ko": "Koreai",
+      "zhCN": "Egyszerűsített kínai",
+      "ar": "Arab",
+      "pt": "Portugál",
+      "ru": "Orosz",
+      "de": "Német",
+      "ro": "Román",
+      "hu": "Magyar",
+      "fi": "Finn",
+      "th": "Thai"
+    },
+    "uiPlayground": "UI játszótér",
+    "faceLibrary": "Arc Könyvtár",
+    "restart": "Frigate Újraindítása",
+    "live": {
+      "title": "Élő",
+      "allCameras": "Minden Kamera",
+      "cameras": {
+        "title": "Kamerák",
+        "count_one": "{{count}} Kamera",
+        "count_other": "{{count}} Kamerák"
+      }
+    },
+    "review": "Áttekintés",
+    "appearance": "Megjelenés",
+    "languages": "Nyelvek",
+    "configurationEditor": "Konfiguráció Kezelő",
+    "systemMetrics": "Rendszer metrikák",
+    "system": "Rendszer",
+    "configuration": "Konfiguráció",
+    "systemLogs": "Rendszer naplók",
+    "settings": "Beállítások"
+  },
+  "role": {
+    "viewer": "Néző",
+    "title": "Szerep",
+    "admin": "Adminisztrátor",
+    "desc": "Az adminisztrátoroknak teljes hozzáférése van az összes feature-höz. A nézők csak a kamerákat láthatják, áttekinthetik az elemeket és az előzményeket a UI-on."
+  },
+  "pagination": {
+    "next": {
+      "label": "Következő oldal",
+      "title": "Következő"
+    },
+    "more": "Több oldal",
+    "previous": {
+      "label": "Vissza az előző oldalra",
+      "title": "Előző"
+    },
+    "label": "lapozás"
+  },
+  "accessDenied": {
+    "documentTitle": "Belépés Megtagadva - Frigate",
+    "title": "Belépés Megtagadva",
+    "desc": "Nincs jogolultsága ehhez az oldalhoz."
+  },
+  "notFound": {
+    "title": "404",
+    "desc": "Oldal nem található",
+    "documentTitle": "Nem található - Frigate"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL kimásolva a vágólapra.",
+    "save": {
+      "title": "Mentés",
+      "error": {
+        "title": "Sikertelen konfiguráció mentés: {{errorMessage}}",
+        "noMessage": "Konfigurációs változtatások mentése sikertelen"
+      }
+    }
+  },
+  "selectItem": "KIválasztani {{item}}-et",
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "láb",
+      "meters": "méter"
+    }
+  },
+  "button": {
+    "save": "Mentés",
+    "saving": "Mentés…",
+    "disable": "Kikapcsol",
+    "close": "Bezár",
+    "copy": "Másolás",
+    "back": "Vissza",
+    "apply": "Alkalmazás",
+    "done": "Kész",
+    "reset": "Visszaállítás",
+    "enabled": "Engedélyezve",
+    "enable": "Engedélyez",
+    "disabled": "Kikapcsolva",
+    "cancel": "Mégsem",
+    "fullscreen": "Teljes képernyő",
+    "history": "Előzmények",
+    "exitFullscreen": "Kilépés a Teljes Képernyőből",
+    "no": "Nem",
+    "download": "Letöltés",
+    "off": "KI",
+    "info": "Infó",
+    "twoWayTalk": "Kétirányú kommunikáció",
+    "pictureInPicture": "Kép a Képben",
+    "cameraAudio": "Kamera Hang",
+    "on": "BE",
+    "edit": "Módosít",
+    "copyCoordinates": "Koordináták másolása",
+    "delete": "Törlés",
+    "yes": "Igen",
+    "unsuspended": "Bekapcsol",
+    "suspended": "Felfüggesztve",
+    "play": "Lejátszás",
+    "unselect": "Kijelölés megszüntetése",
+    "export": "Exportálás",
+    "deleteNow": "Törlés Most",
+    "next": "Következő"
+  },
+  "label": {
+    "back": "Vissza"
+  }
+}
diff --git a/web/public/locales/hu/components/auth.json b/web/public/locales/hu/components/auth.json
new file mode 100644
index 000000000..37dc3a2e4
--- /dev/null
+++ b/web/public/locales/hu/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Felhasználói név",
+    "password": "Jelszó",
+    "login": "Bejelentkezés",
+    "errors": {
+      "usernameRequired": "Felhasználónév szükséges",
+      "passwordRequired": "Jelszó szükséges",
+      "loginFailed": "Sikertelen bejelentkezés",
+      "unknownError": "Ismeretlen hiba. Ellenőrizze a naplókat.",
+      "webUnknownError": "Ismeretlen hiba. Ellenőrizze a konzol naplókat.",
+      "rateLimit": "Túl sokszor próbálkozott. Próbálja meg később."
+    }
+  }
+}
diff --git a/web/public/locales/hu/components/camera.json b/web/public/locales/hu/components/camera.json
new file mode 100644
index 000000000..e53fb9c18
--- /dev/null
+++ b/web/public/locales/hu/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kamera Csoport",
+    "delete": {
+      "confirm": {
+        "desc": "Biztosan törölni akarja a következő kamera csoportot <em>{{name}}</em>?",
+        "title": "Törlés megerősítése"
+      },
+      "label": "Kamera csoport törlése"
+    },
+    "add": "Kamera csoport hozzáadása",
+    "edit": "Kamera csoport módosítása",
+    "name": {
+      "label": "Név",
+      "placeholder": "Adjon meg egy nevet…",
+      "errorMessage": {
+        "mustLeastCharacters": "A kamera csoport nevének legalább 2 karakterből kell állnia.",
+        "exists": "Ez a kamera csoport név már létezik.",
+        "nameMustNotPeriod": "A kamera csoport neve nem tartalmazhat idő intervallumot.",
+        "invalid": "Hibás kamera csoport név."
+      }
+    },
+    "cameras": {
+      "label": "Kamerák",
+      "desc": "Válassza ki a kamerákat ehhez a csoporthoz."
+    },
+    "icon": "Ikon",
+    "success": "Kamera csoport {{name}} mentve.",
+    "camera": {
+      "setting": {
+        "audioIsAvailable": "Hang elérhető ehhez az adáshoz",
+        "audioIsUnavailable": "Nem elérhető hang ehhez az adáshoz",
+        "audio": {
+          "tips": {
+            "document": "Olvassa el a leírást ",
+            "title": "A hangnak a kamerából kell jönnie és be kell állítva legyen a go2rtc-ben ehhez az adáshoz."
+          }
+        },
+        "title": "{{cameraName}} Adás Beállításai",
+        "label": "Kamera adás beállítások",
+        "stream": "Adás",
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "label": "Nincs Adás",
+              "desc": "A kameraképek percenként frissülnek és nem lesz élő adás."
+            },
+            "smartStreaming": {
+              "label": "Okos Adás (ajánlott)",
+              "desc": "Az intelligens közvetítés percenként egyszer frissíti a kameraképet, ha nem észlelhető aktivitás, így takarékoskodik a sávszélességgel és az erőforrásokkal. Amikor aktivitást észlel, a kép zökkenőmentesen átvált élő közvetítésre."
+            },
+            "continuousStreaming": {
+              "label": "Folyamatos Adás",
+              "desc": {
+                "title": "A kamerakép mindig élő közvetítés lesz, amikor látható az irányítópulton, még akkor is, ha nincs észlelt aktivitás.",
+                "warning": "A folyamatos közvetítés magas sávszélesség-használatot és teljesítményproblémákat okozhat. Csak óvatosan használja."
+              }
+            }
+          },
+          "label": "Adási Mód",
+          "placeholder": "Válasszon egy adási módot"
+        },
+        "placeholder": "Válasszon adást",
+        "compatibilityMode": {
+          "label": "Kompatibilitás mód",
+          "desc": "Csak akkor engedélyezze ezt az opciót, ha a kamera élő közvetítése képhibás, és a kép jobb oldalán átlós vonal látható."
+        },
+        "desc": "Változtassa meg az élő adás beállításait ezen kamera csoport kijelzőjén. <em> Ezek a beállítások eszköz/böngésző-specifikusak.</em>"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Beállítások",
+      "title": "Lehetőségek",
+      "showOptions": "Mutasd a Lehetőségeket",
+      "hideOptions": "Lehetőségek Elrejtése"
+    },
+    "timestamp": "Időbélyeg",
+    "zones": "Zónák",
+    "mask": "Maszk",
+    "motion": "Mozgás",
+    "regions": "Régiók",
+    "boundingBox": "Doboz"
+  }
+}
diff --git a/web/public/locales/hu/components/dialog.json b/web/public/locales/hu/components/dialog.json
new file mode 100644
index 000000000..bff6ade19
--- /dev/null
+++ b/web/public/locales/hu/components/dialog.json
@@ -0,0 +1,113 @@
+{
+  "restart": {
+    "title": "Biztosan újra szeretnéd indítani a Frigate-ot?",
+    "button": "Újraindítás",
+    "restarting": {
+      "title": "A Frigate újraindul",
+      "content": "Az oldal újrtölt {{countdown}} másodperc múlva.",
+      "button": "Erőltetett újraindítás azonnal"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Küldés a Frigate+-nak",
+        "desc": "Objektumok, amelyek olyan helyeken vannak, ahol nem akarod, hogy felismerésre kerüljenek, nem számítanak téves egyezésnek. Ha téves egyezésként küldöd be őket, az összezavarja a modellt."
+      },
+      "review": {
+        "state": {
+          "submitted": "Elküldve"
+        },
+        "question": {
+          "ask_a": "Ez a tárgy egy <code>{{label}}</code>?",
+          "label": "Erősítse meg ezt a cimkét a Frigate plus felé",
+          "ask_an": "Ez a tárgy egy <code>{{label}}</code>?",
+          "ask_full": "Ez a tárgy egy <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Megtekintés az Előzmények között"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Kiválasztás az Idővonalból",
+      "start": {
+        "title": "Kezdő időpont",
+        "label": "Kezdeti Időpont Kiválasztása"
+      },
+      "end": {
+        "title": "Végső időpont",
+        "label": "Végső Időpont Kiválasztása"
+      },
+      "lastHour_one": "Előző óra",
+      "lastHour_other": "Utolsó {{count}} óra",
+      "custom": "Egyéb"
+    },
+    "name": {
+      "placeholder": "Export Elnevezése"
+    },
+    "select": "Kiválaszt",
+    "export": "Exportálás",
+    "selectOrExport": "Kiválasztás vagy Exportálás",
+    "toast": {
+      "success": "Exportálás sikeresen megkezdődött. Tekintse meg a fájl-t a /exports mappában.",
+      "error": {
+        "failed": "Nem sikerült elkezdeni az exportálást: {{error}}",
+        "endTimeMustAfterStartTime": "A végső időpontnak a kezdeti időpont után kell következnie",
+        "noVaildTimeSelected": "Nincs érvényes idő intervallum kiválasztva"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Exportálás mentése",
+      "previewExport": "Exportálás Előnézet"
+    }
+  },
+  "streaming": {
+    "label": "Adás",
+    "restreaming": {
+      "desc": {
+        "readTheDocumentation": "Olvassa el a dokumentációt",
+        "title": "Állítsa be a go2rtc-t további élő nézeti lehetőségek és hang támogatása érdekében ennél a kameránál."
+      },
+      "disabled": "Az újraadás nem engedélyezett ennél a kameránál."
+    },
+    "showStats": {
+      "label": "Mutasd az adás statisztikákat",
+      "desc": "Engedélyezze ezt az opciót, hogy a közvetítés statisztikái átfedésként megjelenjenek a kameraképen."
+    },
+    "debugView": "Debug Nézet"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Keresés Mentése",
+      "placeholder": "Adjon nevet a keresésnek",
+      "success": "Keresés {{searchName}} mentve.",
+      "button": {
+        "save": {
+          "label": "Keresés mentése"
+        }
+      },
+      "desc": "Adjon meg egy nevet ehhez a mentett kereséshez.",
+      "overwrite": "{{searchName}} már létezik. Ha elmenti az felül fogja írni a meglévőt."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Törlés Megerősítése",
+      "toast": {
+        "error": "Törlés sikertelen: {{error}}",
+        "success": "A kijelölt ellenőrzési elemekhez tartozó videofelvételek sikeresen törölve lettek."
+      },
+      "desc": {
+        "selected": "Biztosan törölni szeretné az összes rögzített videót, amely ehhez az ellenőrzési elemhez tartozik?<br /><br />Tartsa lenyomva a <em>Shift</em> billentyűt, hogy a jövőben kihagyja ezt a párbeszédablakot."
+      }
+    },
+    "button": {
+      "markAsReviewed": "Megjelölés áttekintettként",
+      "deleteNow": "Törlés Most",
+      "export": "Exportálás"
+    }
+  }
+}
diff --git a/web/public/locales/hu/components/filter.json b/web/public/locales/hu/components/filter.json
new file mode 100644
index 000000000..f4b9b9f39
--- /dev/null
+++ b/web/public/locales/hu/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Szűrő",
+  "labels": {
+    "label": "Cimkék",
+    "all": {
+      "title": "Minden cimke",
+      "short": "Cimkék"
+    },
+    "count_other": "{{count}} cimke",
+    "count_one": "{{count}} Cimke"
+  },
+  "zones": {
+    "label": "Zónák",
+    "all": {
+      "title": "Minden zóna",
+      "short": "Zónák"
+    }
+  },
+  "more": "Több Szűrő",
+  "timeRange": "Idő intervallum",
+  "reset": {
+    "label": "Szűrők visszaállítása alapállapotba"
+  },
+  "subLabels": {
+    "label": "Alcimkék",
+    "all": "Minden Alcimke"
+  },
+  "logSettings": {
+    "label": "Szűrő napló szint",
+    "loading": {
+      "title": "Töltés",
+      "desc": "Amikor a naplópanel az aljára van görgetve, az új naplóbejegyzések automatikusan megjelennek, ahogy hozzáadódnak."
+    },
+    "allLogs": "Minden napló",
+    "filterBySeverity": "Naplók szűrési fontosság alapján",
+    "disableLogStreaming": "Napló adásának kikapcsolása"
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "error": "Követett tárgyak törlése sikertelen: {{errorMessage}}",
+      "success": "Követett tárgyak törlése sikeres."
+    },
+    "title": "Törlés Megerősítése",
+    "desc": "A(z) {{objectLength}} követett objektum törlése eltávolítja a pillanatképet, az összes mentett beágyazást és az összes kapcsolódó objektum életciklus-bejegyzést. Ezeknek a követett objektumoknak a rögzített felvételei a Történet nézetben <em>NEM</em> kerülnek törlésre.<br /><br />Biztosan folytatni szeretné?<br /><br />Tartsa lenyomva a <em>Shift</em> billentyűt, hogy a jövőben kihagyja ezt a párbeszédablakot."
+  },
+  "dates": {
+    "all": {
+      "title": "Minden Dátum",
+      "short": "Dátumok"
+    },
+    "selectPreset": "Válasszon sablon beállítást…"
+  },
+  "score": "Pont",
+  "estimatedSpeed": "Becsült Sebesség {{unit}}",
+  "features": {
+    "hasSnapshot": "Van pillanatképe",
+    "submittedToFrigatePlus": {
+      "label": "Elküldve a Frigate+-hoz",
+      "tips": "Először szűrjön azokra a követett objektumokra, amelyek rendelkeznek pillanatképpel.<br /><br />A pillanatkép nélküli követett objektumokat nem lehet beküldeni a Frigate+ rendszerébe."
+    },
+    "label": "Funkciók",
+    "hasVideoClip": "Van videója"
+  },
+  "sort": {
+    "label": "Rendezés",
+    "dateAsc": "Dátum szerint (Növekvő)",
+    "scoreDesc": "Tárgy Pontszám (Csökkenő)",
+    "scoreAsc": "Tárgy Pontszám (Növekvő)",
+    "speedAsc": "Becsült Sebesség (Növekvő)",
+    "dateDesc": "Dátum szerint (Csökkenő)",
+    "speedDesc": "Becsült Sebesség (Csökkenő)",
+    "relevance": "Relevancia"
+  },
+  "cameras": {
+    "all": {
+      "title": "Minden Kamera",
+      "short": "Kamerák"
+    },
+    "label": "Kamera szűrő"
+  },
+  "review": {
+    "showReviewed": "Mutasd az Áttekintetteket"
+  },
+  "motion": {
+    "showMotionOnly": "Mutasd Csak a Mozgást"
+  },
+  "explore": {
+    "settings": {
+      "title": "Beállítások",
+      "defaultView": {
+        "title": "Alap Nézet",
+        "summary": "Összegzés",
+        "unfilteredGrid": "Szűrőmentes Rács",
+        "desc": "Ha nincs kiválasztva szűrő, jelenítse meg az egyes címkékhez tartozó legutóbbi követett objektumok összefoglalóját, vagy jelenítsen meg egy szűretlen rácsot."
+      },
+      "searchSource": {
+        "label": "Keresés Forrás",
+        "options": {
+          "description": "Leírás",
+          "thumbnailImage": "Bélyegkép"
+        },
+        "desc": "Válassza ki, hogy a követett objektumok bélyegképeiben vagy leírásaiban szeretne keresni."
+      },
+      "gridColumns": {
+        "title": "Rács Oszlopok",
+        "desc": "Válassza ki az oszlopok számáta rács nézetben."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Válassza ki a dátumot a szűréshez"
+      }
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Szűrés zóna maszk alapján"
+  },
+  "recognizedLicensePlates": {
+    "title": "Felismert Rendszámtáblák",
+    "loadFailed": "Felismert rendszámtáblák betöltése sikertelen.",
+    "noLicensePlatesFound": "Rendszámtábla nem található.",
+    "selectPlatesFromList": "Válasszon ki egy vagy több rendszámtáblát a listából.",
+    "loading": "Felismert rendszámtáblák betöltése…",
+    "placeholder": "Kezdjen gépelni a rendszámok közötti kereséshez…"
+  }
+}
diff --git a/web/public/locales/hu/components/icons.json b/web/public/locales/hu/components/icons.json
new file mode 100644
index 000000000..5145dc3ed
--- /dev/null
+++ b/web/public/locales/hu/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Válassz ikont",
+    "search": {
+      "placeholder": "Ikon keresése…"
+    }
+  }
+}
diff --git a/web/public/locales/hu/components/input.json b/web/public/locales/hu/components/input.json
new file mode 100644
index 000000000..8276a3110
--- /dev/null
+++ b/web/public/locales/hu/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Videó Letöltése",
+      "toast": {
+        "success": "Az áttekintendő videó letöltése megkezdődött."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/hu/components/player.json b/web/public/locales/hu/components/player.json
new file mode 100644
index 000000000..31ee99137
--- /dev/null
+++ b/web/public/locales/hu/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Ebben az időpontban nem található felvétel",
+  "noPreviewFound": "Nincs elérhető előkép",
+  "submitFrigatePlus": {
+    "title": "Elküldi ezt a képet a Frigate+-nak?",
+    "submit": "Küldés"
+  },
+  "noPreviewFoundFor": "Nem található előnézet {{cameraName}}-hoz/-hez/-höz",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 vagy újabb szükséges ehhez az élő adás típushoz.",
+  "streamOffline": {
+    "title": "Adás Nem Elérhető",
+    "desc": "Nem érkezett kép a {{cameraName}}-n, <code>észlelés</code> adásban. Ellenőrizze a hibanaplót"
+  },
+  "cameraDisabled": "Kamera kikapcsolva",
+  "stats": {
+    "streamType": {
+      "title": "Adás Típus:",
+      "short": "Típus"
+    },
+    "bandwidth": {
+      "title": "Sávszélesség:",
+      "short": "Sávszélesség"
+    },
+    "latency": {
+      "title": "Késleltetés:",
+      "value": "{{seconds}} másodperc",
+      "short": {
+        "title": "Késleltetés",
+        "value": "{{seconds}} másodperc"
+      }
+    },
+    "droppedFrames": {
+      "title": "Hibás Képek:",
+      "short": {
+        "value": "{{droppedFrames}} képek",
+        "title": "Hibás"
+      }
+    },
+    "decodedFrames": "Dekódolt Képek:",
+    "droppedFrameRate": "Hibás Kép Sebesség:",
+    "totalFrames": "Összes Kép:"
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Kép küldése a Frigate+-hoz meghiúsult"
+    },
+    "success": {
+      "submittedFrigatePlus": "Kép sikeresen elküldve a Frigate+-nak"
+    }
+  }
+}
diff --git a/web/public/locales/hu/objects.json b/web/public/locales/hu/objects.json
new file mode 100644
index 000000000..5bac94fc3
--- /dev/null
+++ b/web/public/locales/hu/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Személy",
+  "bicycle": "Bicikli",
+  "car": "Autó",
+  "motorcycle": "Motor",
+  "airplane": "Repülőgép",
+  "bus": "Busz",
+  "train": "Vonat",
+  "boat": "Hajó",
+  "dog": "Kutya",
+  "cat": "Macska",
+  "horse": "Ló",
+  "sheep": "Juh",
+  "bird": "Madár",
+  "mouse": "Egér",
+  "keyboard": "Szintetizátor",
+  "animal": "Állat",
+  "bark": "Ugatás",
+  "goat": "Kecske",
+  "traffic_light": "Jelzőlámpa",
+  "fire_hydrant": "Tűzcsap",
+  "street_sign": "Utcatábla",
+  "stop_sign": "Stop tábla",
+  "parking_meter": "Parkoló óra",
+  "bench": "Pad",
+  "cow": "Tehén",
+  "elephant": "Elefánt",
+  "bear": "Medve",
+  "zebra": "Zebra",
+  "giraffe": "Zsiráf",
+  "hat": "Kalap",
+  "backpack": "Hátitáska",
+  "umbrella": "Esernyő",
+  "shoe": "Cipő",
+  "eye_glasses": "Szemüveg",
+  "handbag": "Kézitáska",
+  "tie": "Nyakkendő",
+  "suitcase": "Bőrönd",
+  "frisbee": "Frizbi",
+  "skis": "Síléc",
+  "snowboard": "Hódeszka (Snowboard)",
+  "sports_ball": "Sport labda",
+  "kite": "Sárkány",
+  "baseball_bat": "Baseball ütő",
+  "baseball_glove": "Baseball Kesztyű",
+  "skateboard": "Gördeszka",
+  "surfboard": "Szörfdeszka",
+  "tennis_racket": "Teniszütő",
+  "bottle": "Üveg",
+  "plate": "Tányér",
+  "wine_glass": "Boros üveg",
+  "cup": "Csésze",
+  "fork": "Villa",
+  "knife": "Kés",
+  "spoon": "Kanál",
+  "bowl": "Tál",
+  "banana": "Banán",
+  "apple": "Alma",
+  "sandwich": "Szendvics",
+  "orange": "Narancs",
+  "broccoli": "Brokkoli",
+  "carrot": "Répa",
+  "hot_dog": "Hot Dog",
+  "pizza": "Pizza",
+  "donut": "Fánk",
+  "cake": "Torta",
+  "chair": "Szék",
+  "couch": "Kanapé",
+  "potted_plant": "Cserepes növény",
+  "bed": "Ágy",
+  "mirror": "Tükör",
+  "dining_table": "Ebédlő asztal",
+  "window": "Ablak",
+  "desk": "Asztal",
+  "toilet": "Mosdó",
+  "door": "Ajtó",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "clock": "Óra",
+  "scissors": "Olló",
+  "hair_dryer": "Hajszárító",
+  "sink": "Mosdókagyló",
+  "blender": "Pépesítő gép",
+  "toothbrush": "Fogkefe",
+  "vehicle": "Jármű",
+  "remote": "Távoli",
+  "cell_phone": "Mobiltelefon",
+  "microwave": "Mikrohullám",
+  "oven": "Sütő",
+  "refrigerator": "Hűtő",
+  "book": "Könyv",
+  "toaster": "Kenyérpirító",
+  "vase": "Váza",
+  "teddy_bear": "Teddy Maci",
+  "hair_brush": "Hajkefe",
+  "squirrel": "Mókus",
+  "deer": "Szarvas",
+  "fox": "Róka",
+  "rabbit": "Nyúl",
+  "raccoon": "Mosómedve",
+  "robot_lawnmower": "Robotfűnyíró",
+  "waste_bin": "Kuka",
+  "on_demand": "Igény Szerint",
+  "license_plate": "Rendszám tábla",
+  "package": "Csomag",
+  "bbq_grill": "BBQ sütő",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolátor",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "face": "Arc"
+}
diff --git a/web/public/locales/hu/views/configEditor.json b/web/public/locales/hu/views/configEditor.json
new file mode 100644
index 000000000..b921c987d
--- /dev/null
+++ b/web/public/locales/hu/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Konfiguráció Szerkesztő - Frigate",
+  "configEditor": "Konfiguráció szerkesztő",
+  "copyConfig": "Konfiguráció másolása",
+  "saveAndRestart": "Mentés és Újraindítás",
+  "saveOnly": "Csak mentés",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguráció átmásolva a vágólapra."
+    },
+    "error": {
+      "savingError": "Hiba a konfiguráció mentésekor"
+    }
+  },
+  "confirm": "Kilép mentés nélkül?"
+}
diff --git a/web/public/locales/hu/views/events.json b/web/public/locales/hu/views/events.json
new file mode 100644
index 000000000..586953de1
--- /dev/null
+++ b/web/public/locales/hu/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Riasztások",
+  "empty": {
+    "detection": "Nincs megnézendő észlelés",
+    "alert": "Nincs megnézendő riasztás",
+    "motion": "Nem található mozgás"
+  },
+  "detections": "Észlelések",
+  "motion": {
+    "label": "Mozgás",
+    "only": "Csak mozgások"
+  },
+  "allCameras": "Összes kamera",
+  "timeline": "Idővonal",
+  "detected": "észlelve",
+  "events": {
+    "label": "Események",
+    "aria": "Válassza ki az eseményeket",
+    "noFoundForTimePeriod": "Nem található esemény ebben az idő intervallumban."
+  },
+  "calendarFilter": {
+    "last24Hours": "Elmúlt 24 Óra"
+  },
+  "newReviewItems": {
+    "label": "Új áttekintendő elemek megnézése",
+    "button": "Áttekintendő Új Elemek"
+  },
+  "camera": "Kamera",
+  "timeline.aria": "Válassza ki az idővonalat",
+  "documentTitle": "Áttekintés - Frigate",
+  "recordings": {
+    "documentTitle": "Felvételek - Frigate"
+  },
+  "markTheseItemsAsReviewed": "Ezen elemek megjelölése áttekintettként",
+  "markAsReviewed": "Megjelölés Áttekintettként",
+  "selected_one": "{{count}} kiválasztva",
+  "selected_other": "{{count}} kiválasztva"
+}
diff --git a/web/public/locales/hu/views/explore.json b/web/public/locales/hu/views/explore.json
new file mode 100644
index 000000000..9f5cd4814
--- /dev/null
+++ b/web/public/locales/hu/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "documentTitle": "Tallózás - Frigate",
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Video letöltése",
+      "aria": "Video letöltése"
+    },
+    "submitToPlus": {
+      "aria": "Küldés a Frigate Plus-nak",
+      "label": "Küldés a Frigate+-nak"
+    },
+    "deleteTrackedObject": {
+      "label": "Követett tárgy törlése"
+    },
+    "viewObjectLifecycle": {
+      "label": "Tárgy életciklusának megtekintése",
+      "aria": "Mutasd a tárgy életciklusát"
+    },
+    "findSimilar": {
+      "label": "Keress hasonlót",
+      "aria": "Keress hasonló követett tárgyat"
+    },
+    "viewInHistory": {
+      "label": "Megtekintés az Előzményekben",
+      "aria": "Megtekintés az Előzményekben"
+    },
+    "downloadSnapshot": {
+      "aria": "Pillanatfelvétel letöltése",
+      "label": "Pillanatfelvétel letöltése"
+    }
+  },
+  "details": {
+    "editLPR": {
+      "title": "Rendszám módosítása",
+      "desc": "Új rendszám hozzáadása ehhez {{label}}",
+      "descNoLabel": "Adjon hozzá egy új rendszámot ehhez a követett tárgyhoz"
+    },
+    "label": "Cimke",
+    "editSubLabel": {
+      "desc": "Új alcimke létrehozása ehhez a cimkéhez {{label}}",
+      "title": "Alcimke módosítása",
+      "descNoLabel": "Adjon hozzá egy új alcimkét ehhez a követett tárgyhoz"
+    },
+    "camera": "Kamera",
+    "zones": "Zónák",
+    "description": {
+      "placeholder": "Követett tárgy leírása",
+      "label": "Leírás",
+      "aiTips": "A Frigate nem fog igényelni leírást a Generatív MI szolgáltatójától, amíg a követett tárgy életciklusa be nem fejeződött."
+    },
+    "timestamp": "Időbélyeg",
+    "estimatedSpeed": "Becsült Sebesség",
+    "objects": "Tárgyak",
+    "topScore": {
+      "label": "Legnagyobb Pontszám",
+      "info": "A legmagasabb pontszám a követett objektum legmagasabb medián pontszáma, ezért eltérhet a keresési eredmény bélyegképén megjelenő pontszámtól."
+    },
+    "recognizedLicensePlate": "Felismert Rendszám",
+    "tips": {
+      "descriptionSaved": "Leírás sikeresen mentve",
+      "saveDescriptionFailed": "Leírás frissítése sikertelen: {{errorMessage}}"
+    },
+    "item": {
+      "toast": {
+        "error": {
+          "updatedLPRFailed": "Rendszám frissítése sikertelen: {{errorMessage}}",
+          "updatedSublabelFailed": "Alcimke frissítése sikertelen: {{errorMessage}}",
+          "regenerate": "Nem sikerült meghívni a(z) {{provider}} szolgáltatót az új leírásért: {{errorMessage}}"
+        },
+        "success": {
+          "updatedSublabel": "Az alcimke sikeresen frissítve.",
+          "updatedLPR": "Rendszám sikeresen frissítve.",
+          "regenerate": "Új leírást kértünk a(z) {{provider}} szolgáltatótól. A szolgáltató sebességétől függően az új leírás előállítása eltarthat egy ideig."
+        }
+      },
+      "button": {
+        "viewInExplore": "Mutasd a Felfedezésben",
+        "share": "Áttekintési elem megosztása"
+      },
+      "desc": "Áttekintendő elem részletei",
+      "title": "Áttekintendő Elem Részletei",
+      "tips": {
+        "mismatch_one": "{{count}} nem elérhető objektum lett észlelve és belefogalve ebbe az ellenőrzési elembe. Ez az objektum vagy nem felelt meg a riasztás vagy észlelés feltételeinek, vagy már törlésre/eltávolításra került.",
+        "mismatch_other": "{{count}} nem elérhető objektumok lettek észlelve és belefogalve ebbe az ellenőrzési elembe. Ezek az objektumok vagy nem feleltek meg a riasztás vagy észlelés feltételeinek, vagy már törlésre/eltávolításra kerültek.",
+        "hasMissingObjects": "Állítsa be a konfigurációját, ha azt szeretné, hogy a Frigate mentse a követett objektumokat a következő címkékhez: <em>{{objects}}</em>"
+      }
+    },
+    "snapshotScore": {
+      "label": "Pillanatfelvétel Pontszáma"
+    },
+    "regenerateFromThumbnails": "Újragenerálás kisképből",
+    "regenerateFromSnapshot": "Újragenerálás pillanatfelvételből",
+    "button": {
+      "regenerate": {
+        "label": "Követett tárgy leírásának újragenerálása",
+        "title": "Újragenerálás"
+      },
+      "findSimilar": "Keress Hasonlót"
+    },
+    "expandRegenerationMenu": "Újragenerálási menü kiterjesztése"
+  },
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Hiba a követett tárgy törlése közben: {{errorMessage}}",
+        "success": "Követett tárgy sikeresen törölve."
+      }
+    },
+    "tooltip": "{{type}} egyezés {{confidence}}%-os megbízhatósággal"
+  },
+  "generativeAI": "Generatív MI",
+  "exploreIsUnavailable": {
+    "title": "Felfedezés nem elérhető",
+    "embeddingsReindexing": {
+      "startingUp": "Indulás…",
+      "estimatedTime": "Becsült hátralevő idő:",
+      "finishingShortly": "Hamarosan végez",
+      "step": {
+        "thumbnailsEmbedded": "Beágyazott ikonok: ",
+        "descriptionsEmbedded": "Beágyazott leírások: ",
+        "trackedObjectsProcessed": "Feldolgozott követett tárgyak: "
+      },
+      "context": "A felfedezés azután használható, hogy a követett tárgy beágyazások újraindexálása befejeződött."
+    },
+    "downloadingModels": {
+      "tips": {
+        "documentation": "Olvassa el a leírást",
+        "context": "Érdemes lehet újraindexelni a követett objektumok beágyazásait, miután a modellek letöltődtek."
+      },
+      "setup": {
+        "textModel": "Szöveg modell",
+        "textTokenizer": "Szöveg tokenizáló",
+        "visionModel": "Látvány modell",
+        "visionModelFeatureExtractor": "Látvány modell képesség kinyerő"
+      },
+      "error": "Hiba történt. Ellenőrizze a Frigate naplókat.",
+      "context": "A Frigate letölti a szemantikus keresés funkcióhoz szükséges beágyazási modelleket. Ez a hálózati kapcsolat sebességétől függően néhány percet is igénybe vehet."
+    }
+  },
+  "noTrackedObjects": "Nincs követett tárgy",
+  "trackedObjectsCount_one": "{{count}} követett tárgy. ",
+  "trackedObjectsCount_other": "{{count}} követett tárgy. ",
+  "dialog": {
+    "confirmDelete": {
+      "title": "Törlés megerősítése",
+      "desc": "Ennek a követett objektumnak a törlése eltávolítja a pillanatképet, az összes mentett beágyazást és az összes kapcsolódó objektum életciklus-bejegyzést. A Történet nézetben lévő rögzített felvételek <em>NEM</em> kerülnek törlésre.<br /><br />Biztosan folytatni szeretné?"
+    }
+  },
+  "fetchingTrackedObjectsFailed": "Hiba a követett tárgyak betöltése közben: {{errorMessage}}",
+  "objectLifecycle": {
+    "title": "Tárgy Életciklus",
+    "noImageFound": "Ehhez az időbélyeghez nem található kép.",
+    "createObjectMask": "Tárgy Maszk Létrehozása",
+    "scrollViewTips": "Görgessen, hogy megnézze ezen tárgy életciklusának jelentős pillanatait.",
+    "lifecycleItemDesc": {
+      "heard": "{{label}} meghallva",
+      "external": "{{label}} észlelve",
+      "header": {
+        "zones": "Zónák",
+        "ratio": "Arány",
+        "area": "Körzet"
+      },
+      "active": "{{label}} aktiválódott",
+      "attribute": {
+        "other": "{{label}} felismerve mint {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} észlelve {{label}}-hoz/-hez/-höz"
+      },
+      "entered_zone": "{{label}} belépett {{zones}}-ba/-be",
+      "visible": "{{label}} észlelve",
+      "gone": "{{label}} elment",
+      "stationary": "{{label}} mozdulatlanná vált"
+    },
+    "annotationSettings": {
+      "offset": {
+        "documentation": "Olvassa el a leírást ",
+        "label": "Jelölés eltolás",
+        "desc": "Ez az információ a kamera észlelési csatornájából származik, de a felvételi csatorna képeire van ráhelyezve. Nem valószínű, hogy a két közvetítés tökéletesen szinkronban van. Ennek eredményeként a kijelölő keret és a felvétel nem lesz teljesen pontosan összehangolva. Azonban az <code>annotation_offset</code> mező segítségével ez korrigálható.",
+        "millisecondsToOffset": "Ezredmásodpercben megadott érték, amellyel az észlelési jelölések eltolhatók. <em>Alapértelmezett: 0</em>",
+        "tips": "TIPP: Képzelje el, hogy van egy eseményklip, amelyben egy személy balról jobbra sétál. Ha az esemény idővonalán a kijelölő keret következetesen a személy bal oldalán jelenik meg, akkor az értéket csökkenteni kell. Hasonlóképpen, ha a kijelölő keret folyamatosan a személy előtt van, akkor az értéket növelni kell.",
+        "toast": {
+          "success": "A(z) {{camera}} jelöléseltolása el lett mentve a konfigurációs fájlba. Indítsa újra a Frigate-et a módosítások alkalmazásához."
+        }
+      },
+      "showAllZones": {
+        "desc": "Mindig mutasd a képen a zónákat, ahol a tárgy belépett a zónába.",
+        "title": "Mutasd az Összes Zónát"
+      },
+      "title": "Jelölés beállításai"
+    },
+    "carousel": {
+      "next": "Következő dia",
+      "previous": "Előző dia"
+    },
+    "trackedPoint": "Követett Pont",
+    "count": "{{first}}-nek a {{second}}",
+    "autoTrackingTips": "A doboz helyzete pontatlan lesz az automatikusan követő kamerákhoz.",
+    "adjustAnnotationSettings": "Címkézés beállításainak módosítása"
+  },
+  "type": {
+    "video": "videó",
+    "object_lifecycle": "tárgy életciklus",
+    "details": "részletek",
+    "snapshot": "pillanatfelvétel"
+  },
+  "trackedObjectDetails": "Követett Tárgy Részletei",
+  "exploreMore": "Fedezzen fel több {{label}} tárgyat"
+}
diff --git a/web/public/locales/hu/views/exports.json b/web/public/locales/hu/views/exports.json
new file mode 100644
index 000000000..f54c70923
--- /dev/null
+++ b/web/public/locales/hu/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exportálás - Frigate",
+  "search": "Keresés",
+  "noExports": "Export nem található",
+  "deleteExport.desc": "Biztos, hogy törölni akarja {{exportName}}-t?",
+  "deleteExport": "Export törlése",
+  "editExport": {
+    "title": "Exportálás átnevezése",
+    "desc": "Adjon meg egy új nevet ennek az exportnak.",
+    "saveExport": "Export mentése"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Sikertelen export átnevezés: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/hu/views/faceLibrary.json b/web/public/locales/hu/views/faceLibrary.json
new file mode 100644
index 000000000..4aaef392d
--- /dev/null
+++ b/web/public/locales/hu/views/faceLibrary.json
@@ -0,0 +1,99 @@
+{
+  "renameFace": {
+    "title": "Arc átnevezése",
+    "desc": "Adjon meg egy új nevet {{name}}-nak/-nek"
+  },
+  "details": {
+    "subLabelScore": "Alcimke érték",
+    "unknown": "Ismeretlen",
+    "person": "Ember",
+    "timestamp": "Időbélyeg",
+    "face": "Arc részletek",
+    "faceDesc": "A követett tárgy részletei, amely alapján ez az arc létrejött",
+    "scoreInfo": "Az alcímke pontszáma az összes felismert arc pontozásának súlyozott átlaga, ezért ez eltérhet a pillanatképen megjelenített pontszámtól."
+  },
+  "button": {
+    "deleteFace": "Arc törlése",
+    "renameFace": "Arc átnevezése",
+    "deleteFaceAttempts": "Arcok törlése",
+    "addFace": "Arc hozzáadása",
+    "uploadImage": "Kép feltöltése",
+    "reprocessFace": "Arc Újrafeldolgozása"
+  },
+  "collections": "Gyűjtemények",
+  "steps": {
+    "description": {
+      "uploadFace": "Töltsön fel egy képet {{name}}-ről amin szemből látható. A képen nem szükséges, hogy csak az arc legyen látható."
+    },
+    "faceName": "Adjon meg egy arcnevet",
+    "uploadFace": "Arckép feltöltése",
+    "nextSteps": "Következő lépések"
+  },
+  "deleteFaceAttempts": {
+    "title": "Arcok törlése",
+    "desc_one": "Biztos benne, hogy törölni akar {{count}} arcot? Ezt már nem tudja visszavonni.",
+    "desc_other": "Biztos benne, hogy törölni akar {{count}} arcot? Ezt már nem tudja visszavonni."
+  },
+  "uploadFaceImage": {
+    "title": "Arckép feltöltése",
+    "desc": "Töltsön fel egy képet, hogy beolvasson arcokat és beillessze {{pageToggle}}-ba/-be"
+  },
+  "createFaceLibrary": {
+    "title": "Gyűjtemény létrehozása",
+    "desc": "Új gyűjtemény létrehozása",
+    "new": "Új arc létrhozása",
+    "nextSteps": "A jó alap készítéséhez:<li>Használja a Tanítás fület az egyes észlelt személyekhez tartozó képek kiválasztására és betanítására.</li>A legjobb eredmény érdekében válassza az egyenesen előre néző arcokat ábrázoló képeket és kerülje a ferde szögből készült arcképeket a tanításhoz.</li></ul>"
+  },
+  "description": {
+    "placeholder": "Adj nevet ennek a gyűjteménynek",
+    "invalidName": "Nem megfelelő név. A nevek csak betűket, számokat, szóközöket, aposztrófokat, alulhúzásokat és kötőjeleket tartalmazhatnak.",
+    "addFace": "Segédlet új gyűjtemény hozzáadásához az arckép könyvtárban."
+  },
+  "selectFace": "Arc kiválasztása",
+  "deleteFaceLibrary": {
+    "title": "Név törlése",
+    "desc": "Biztosan törölni akarja a {{name}} gyűjteményt? Ezzel véglegesen törli a párosított arcokat."
+  },
+  "imageEntry": {
+    "dropActive": "Húzza a képet ide…",
+    "validation": {
+      "selectImage": "Kérem válasszon egy képet."
+    },
+    "maxSize": "Maximális méret: {{size}} MB",
+    "dropInstructions": "Fogja és húzza a képet ide, vagy kattintson a kiválasztáshoz"
+  },
+  "trainFaceAs": "Arc tanítása mint:",
+  "trainFace": "Arc tanítása",
+  "toast": {
+    "success": {
+      "addFaceLibrary": "{{name}} sikeresen hozzáadva a az Arc Könyvtárhoz!",
+      "uploadedImage": "A kép sikeresen feltöltve.",
+      "deletedName_one": "{{count}} arc sikeresen törölve.",
+      "deletedName_other": "{{count}} arc sikeresen törölve.",
+      "renamedFace": "Arc sikeresen átnvezezve {{name}}-ra/-re",
+      "updatedFaceScore": "Arc pontszáma sikeresen frissítve.",
+      "trainedFace": "Arc sikeresen betanítva.",
+      "deletedFace_one": "{{count}} arc sikeresen törölve.",
+      "deletedFace_other": "{{count}} arc sikeresen törölve."
+    },
+    "error": {
+      "addFaceLibraryFailed": "Arc névadás sikertelen: {{errorMessage}}",
+      "deleteFaceFailed": "Törlés sikertelen: {{errorMessage}}",
+      "deleteNameFailed": "Név törlése sikertelen: {{errorMessage}}",
+      "uploadingImageFailed": "Kép feltöltése sikertelen: {{errorMessage}}",
+      "updateFaceScoreFailed": "Arc pontszám frissítése sikertelen: {{errorMessage}}",
+      "renameFaceFailed": "Arc átnevezése sikertelen: {{errorMessage}}",
+      "trainFailed": "Sikertelen tanítás: {{errorMessage}}"
+    }
+  },
+  "readTheDocs": "Olvassa el a dokumentációt",
+  "nofaces": "Nincs elérhető arc",
+  "documentTitle": "Arc könyvtár - Frigate",
+  "train": {
+    "title": "Vonat",
+    "empty": "Nincs friss arcfelismerés",
+    "aria": "Válassza ki a tanítást"
+  },
+  "pixels": "{{area}}px",
+  "selectItem": "KIválasztani {{item}}-et"
+}
diff --git a/web/public/locales/hu/views/live.json b/web/public/locales/hu/views/live.json
new file mode 100644
index 000000000..73a8f81f9
--- /dev/null
+++ b/web/public/locales/hu/views/live.json
@@ -0,0 +1,158 @@
+{
+  "twoWayTalk": {
+    "enable": "Kétirányú kommunikáció engedélyezése",
+    "disable": "Kétirányú kommunikáció tiltása"
+  },
+  "documentTitle": "Élő - Frigate",
+  "lowBandwidthMode": "Alacsony felbontású mód",
+  "documentTitle.withCamera": "{{camera}} - Élő - Frigate",
+  "cameraAudio": {
+    "disable": "Kamera hangjának kikapcsolása",
+    "enable": "Kamera hangjának bekapcsolása"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Kattintson a képre a kamera középre igazításához",
+        "enable": "Engedélyezze a kattintást a mozgatáshoz",
+        "disable": "Kattintással húzás kikapcsolása"
+      },
+      "left": {
+        "label": "PTZ kamera balra mozgatása"
+      },
+      "up": {
+        "label": "PTZ kamera felfele mozgatása"
+      },
+      "down": {
+        "label": "PTZ kamera lefele mozgatása"
+      },
+      "right": {
+        "label": "PTZ kamera jobbra mozgatása"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "PTZ kamera közelítés"
+      },
+      "out": {
+        "label": "PTZ kamera távolodás"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Kattinston a képre a PTZ kamera középre igazításához"
+      }
+    },
+    "presets": "PTZ kamera előzetes beállításai"
+  },
+  "camera": {
+    "enable": "Kamera Engedélyezése",
+    "disable": "Kamera Kikapcsolása"
+  },
+  "muteCameras": {
+    "enable": "Minden Kamera Némítása",
+    "disable": "Minden Kamera Felhangosítása"
+  },
+  "detect": {
+    "enable": "Észlelés Engedélyezése",
+    "disable": "Észlelés Kikapcsolása"
+  },
+  "recording": {
+    "enable": "Felvétel Készítés Engedélyezése",
+    "disable": "Felvétel Készítés Kikapcsolása"
+  },
+  "snapshots": {
+    "enable": "Pillanatfelvétel Engedélyezése",
+    "disable": "Pillanatfelvétel Kikapcsolása"
+  },
+  "audioDetect": {
+    "enable": "Hang Észlelés Engedélyezése",
+    "disable": "Hang Észlelés Kikapcsolása"
+  },
+  "autotracking": {
+    "enable": "Automatikus Követés Engedélyezése",
+    "disable": "Automatikus Követés Kikapcsolása"
+  },
+  "streamStats": {
+    "enable": "Adás Statisztika Mutatása",
+    "disable": "Adás Statisztika Elrejtése"
+  },
+  "manualRecording": {
+    "playInBackground": {
+      "label": "Lejátszás a háttérben",
+      "desc": "Engedélyezze ezt a lehetőséget, hogy az adás tovább folyjon amikor a lejátszó rejtve van."
+    },
+    "showStats": {
+      "label": "Statisztika Mutatása",
+      "desc": "Engedélyezze ezt az opciót, hogy a közvetítés statisztikái átfedésként megjelenjenek a kameraképen."
+    },
+    "debugView": "Hibakeresési Nézet",
+    "title": "Igény Szerinti Felvétel",
+    "start": "Igény szerinti felvétel indítása",
+    "started": "Kézi igény szerinti felvétel elindítva.",
+    "failedToStart": "Kézi igény szerinti felvétel indítása sikertelen.",
+    "end": "Igény szerinti felvétel befejezése",
+    "ended": "Kézi igény szerinti felvétel befejezve.",
+    "failedToEnd": "Kézi igény szerinti felvétel befejezése sikertelen.",
+    "tips": "Indítson el egy manuális eseményt a kamera felvételmegőrzési beállításai alapján.",
+    "recordDisabledTips": "Mivel a rögzítés le van tiltva vagy korlátozva van a konfigurációban ennél a kameránál, csak egy pillanatkép kerül mentésre."
+  },
+  "streamingSettings": "Adás Beállítások",
+  "notifications": "Értesítések",
+  "audio": "Hang",
+  "suspend": {
+    "forTime": "Felfüggesztés: "
+  },
+  "stream": {
+    "title": "Adás",
+    "audio": {
+      "tips": {
+        "documentation": "Olvassa el a leírást ",
+        "title": "A hangot a kamerának kell kibocsátania, és a go2rtc-ben kell konfigurálni ehhez a streamhez."
+      },
+      "available": "Ehhez az adáshoz hang elérhető",
+      "unavailable": "Nem elérhető hang ehhez az adáshoz"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Olvassa el a leírást ",
+      "available": "Kétirányú kommunikáció elérhető ehhez az adáshoz",
+      "unavailable": "Nem elérhető a kétirányú kommunikáció ehhez az adáshoz",
+      "tips": "Az eszközének támogatnia kell ezt a funkciót, és a WebRTC-nek kétirányú beszélgetésre kell lennie konfigurálva."
+    },
+    "lowBandwidth": {
+      "resetStream": "Adás visszaállítása",
+      "tips": "Az élő nézet alacsony sávszélességű módban van a pufferelés vagy stream hibák miatt."
+    },
+    "playInBackground": {
+      "label": "Lejátszás a háttérben",
+      "tips": "Engedélyezze ezt az opciót a folyamatos közvetítéshez akkor is, ha a lejátszó rejtve van."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Beállítások",
+    "cameraEnabled": "Kamera Engedélyezve",
+    "objectDetection": "Tárgy Észlelés",
+    "recording": "Felvétel",
+    "audioDetection": "Hang Észlelés",
+    "snapshots": "Pillanatképek",
+    "autotracking": "Automatikus követés"
+  },
+  "history": {
+    "label": "Előzmény felvételek megjelenítése"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Mind",
+      "motion": "Mozgás",
+      "active_objects": "Aktív objektumok"
+    },
+    "notAllTips": "Az Ön {{source}} felvételmegőrzési beállítása akövetkezőre van állítva <code>mode: {{effectiveRetainMode}}</code>, így ez az igény szerinti felvétel csak a {{effectiveRetainModeName}} szegmenseket őrzi meg."
+  },
+  "editLayout": {
+    "label": "Elrendezés szerkesztése",
+    "group": {
+      "label": "Kameracsoport szerkesztése"
+    },
+    "exitEdit": "Szerkesztés bezárása"
+  }
+}
diff --git a/web/public/locales/hu/views/recording.json b/web/public/locales/hu/views/recording.json
new file mode 100644
index 000000000..67aac28a5
--- /dev/null
+++ b/web/public/locales/hu/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Szűrő",
+  "calendar": "Naptár",
+  "export": "Exportálás",
+  "filters": "Szűrők",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nem megfelelő idősáv kiválasztva",
+      "endTimeMustAfterStartTime": "A végpontnak később kell lennie, mint a kezdőpontnak"
+    }
+  }
+}
diff --git a/web/public/locales/hu/views/search.json b/web/public/locales/hu/views/search.json
new file mode 100644
index 000000000..185a060e5
--- /dev/null
+++ b/web/public/locales/hu/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Keresés",
+  "savedSearches": "Mentett keresések",
+  "searchFor": "{{inputValue}} keresése",
+  "button": {
+    "clear": "Keresés törlése",
+    "filterInformation": "Szűrő információ",
+    "save": "Keresés mentése",
+    "delete": "Mentett keresések törlése",
+    "filterActive": "Aktív szűrők"
+  },
+  "trackedObjectId": "Követett Tárgy Azonosító",
+  "filter": {
+    "label": {
+      "cameras": "Kamerák",
+      "labels": "Cimkék",
+      "zones": "Zónák",
+      "sub_labels": "Alcimkék",
+      "search_type": "Keresés típusa",
+      "time_range": "Idő intervallum",
+      "before": "Előtte",
+      "after": "Utána",
+      "min_score": "Minimum Pont",
+      "max_score": "Maximális Pont",
+      "min_speed": "Minimum Sebesség",
+      "max_speed": "Maximális Sebesség",
+      "recognized_license_plate": "Felismert Rendszám",
+      "has_clip": "Van Klip",
+      "has_snapshot": "Van pillanatképe"
+    },
+    "searchType": {
+      "description": "Leírás",
+      "thumbnail": "Bélyegkép"
+    },
+    "tips": {
+      "title": "Hogyan használja a szöveg szűrőket",
+      "desc": {
+        "exampleLabel": "Példa:",
+        "step6": "Törölje a szűrőket az 'x'-re kattintva mellettük.",
+        "step1": "Írjon be egy szűrő kulcs nevet kettősponttal végződően (pl.: \"kamerák:\").",
+        "step5": "Az időbeli szűrő {{exampleTime}} formátumot használ.",
+        "step4": "A dátum szűrők (előtte: és utána:) {{DateFormat}} formátumban vannak.",
+        "text": "A szűrők segítenek szűkíteni a keresési eredményeket. Így használhatja őket a beviteli mezőben:",
+        "step2": "Válasszon egy értéket a lehetőségek közül, vagy írja be a sajátját.",
+        "step3": "Több szűrőt is használhat, ha azokat egymás után, szóközzel elválasztva adja meg."
+      }
+    },
+    "header": {
+      "currentFilterType": "Szűrő Értékek",
+      "noFilters": "Szűrők",
+      "activeFilters": "Aktív Szűrők"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "A 'kezdeti' dátumnak később kell lennie, mint a 'későbbi' dátumnak.",
+        "afterDatebeEarlierBefore": "Az 'későbbi' dátumnam korábban kell lennie, mint az 'előtte' dátumnak.",
+        "minScoreMustBeLessOrEqualMaxScore": "A 'min_pontszám'-nak kevesebbnek vagy ugyanannyinak kell lennie, mint a 'max_pontszám'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "A 'max_pontszám'-nak nagyobb vagy egyenlőnek kell lennie, mint a 'min_pontszám'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "A 'min_sebesség'-nek mindenképp kevesebbnek vagy azonosnak kell lennie, mint a 'max_sebesség'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "A 'max_speed' értékének nagyobbnak vagy egyenlőnek kell lennie a 'min_speed' értékéhez képest."
+      }
+    }
+  },
+  "similaritySearch": {
+    "active": "Hasonlóság keresés aktív",
+    "title": "Hasonlóság Keresés",
+    "clear": "Hasonlósági keresés törlése"
+  },
+  "placeholder": {
+    "search": "Keresés…"
+  }
+}
diff --git a/web/public/locales/hu/views/settings.json b/web/public/locales/hu/views/settings.json
new file mode 100644
index 000000000..5fc972304
--- /dev/null
+++ b/web/public/locales/hu/views/settings.json
@@ -0,0 +1,621 @@
+{
+  "documentTitle": {
+    "default": "Beállítások - Frigate",
+    "authentication": "Hitelesítési beállítások - Frigate",
+    "camera": "Kamera beállítások - Frigate",
+    "classification": "Osztályozási beállítások - Frigate",
+    "masksAndZones": "Maszk és zónaszerkesztő - Frigate",
+    "object": "Hibakeresés - Frigate",
+    "general": "Áltlános Beállítások - Frigate",
+    "frigatePlus": "Frigate+ beállítások - Frigate",
+    "notifications": "Értesítések beállítása - Frigate",
+    "motionTuner": "Mozgás Hangoló - Frigate",
+    "enrichments": "Kiegészítés Beállítások - Frigate"
+  },
+  "menu": {
+    "ui": "UI",
+    "classification": "Osztályozás",
+    "cameras": "Kamera beállítások",
+    "masksAndZones": "Maszkok / Zónák",
+    "motionTuner": "Mozgás finomhangolása",
+    "debug": "Hibakeresés",
+    "users": "Felhasználók",
+    "notifications": "Értesítések",
+    "frigateplus": "Frigate+",
+    "enrichments": "Gazdagítások"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Vannak nem mentett módosítások.",
+      "desc": "Szeretné elmenteni a módosításokat a folytatás előtt?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Nincs kamera"
+  },
+  "general": {
+    "liveDashboard": {
+      "title": "Live irányítópult",
+      "automaticLiveView": {
+        "label": "Automata élőkép",
+        "desc": "Automatikusan váltson át a kamera élő nézetére, amikor aktivitást észlel. Ha ez az opció ki van kapcsolva, akkor az Élő irányítópulton a statikus kameraképek csak percenként egyszer frissülnek."
+      },
+      "playAlertVideos": {
+        "label": "Riasztási Videók Lejátszása",
+        "desc": "Alapértelmezetten az Élő irányítópulton a legutóbbi riasztások kis, ismétlődő videóként jelennek meg. Kapcsolja ki ezt az opciót, ha csak állóképet szeretne megjeleníteni a legutóbbi riasztásokról ezen az eszközön/böngészőben."
+      }
+    },
+    "title": "Alapbeállítások",
+    "cameraGroupStreaming": {
+      "title": "Kamera Csoport Adás Beállítások",
+      "clearAll": "Minden Adás Beállítás Törlése",
+      "desc": "Az egyes kameracsoportok közvetítési beállításai a böngésző helyi tárolójában kerülnek mentésre."
+    },
+    "recordingsViewer": {
+      "title": "Felvétel Néző",
+      "defaultPlaybackRate": {
+        "label": "Alap Lejátszási Sebesség",
+        "desc": "Alapértelmezett lejátszási sebesség a felvételek visszajátszásához."
+      }
+    },
+    "calendar": {
+      "title": "Naptár",
+      "firstWeekday": {
+        "label": "Első Hétköznap",
+        "sunday": "Vasárnap",
+        "monday": "Hétfő",
+        "desc": "A nap, amivel az áttekintési naptár hete kezdődik."
+      }
+    },
+    "toast": {
+      "error": {
+        "clearStreamingSettingsFailed": "Adásbeállítások törlése sikertelen: {{errorMessage}}",
+        "clearStoredLayoutFailed": "Nem sikerült törölni a mentett elrendezést: {{errorMessage}}"
+      },
+      "success": {
+        "clearStoredLayout": "Mentett elrendezés törölve ehhez: {{cameraName}}",
+        "clearStreamingSettings": "Az összes kameracsoport közvetítési beállítása törölve."
+      }
+    },
+    "storedLayouts": {
+      "title": "Tárolt Elrendezések",
+      "desc": "A kameracsoporton belüli kamerák elrendezése áthúzható és átméretezhető. A pozíciók a böngésző helyi tárolójában kerülnek mentésre.",
+      "clearAll": "Összes elrendezés törlése"
+    }
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "readTheDocumentation": "Olvassa el a Dokumentációt",
+      "reindexNow": {
+        "error": "Újraindexálás megkezdése sikertelen: {{errorMessage}}",
+        "label": "Újraindexálás Most",
+        "confirmTitle": "Újraindexálás Megerősítése",
+        "confirmButton": "Újraindexálás",
+        "success": "Újraindexálás sikeresen megkezdődött.",
+        "alreadyInProgress": "Újraindexálás már folyamatban.",
+        "desc": "Az újraindexelés újragenerálja az összes követett objektum beágyazásait. Ez a folyamat a háttérben fut, és a követett objektumok számától függően maximálisan kihasználhatja a CPU-t, valamint jelentős időt vehet igénybe.",
+        "confirmDesc": "Biztosan újra szeretné indexelni az összes követett objektum beágyazását? Ez a folyamat a háttérben fut, de maximálisan kihasználhatja a CPU-t, és jelentős időt vehet igénybe. A folyamat állapotát az Áttekintés oldalon követheti nyomon."
+      },
+      "modelSize": {
+        "label": "Modell méret",
+        "small": {
+          "title": "kicsi",
+          "desc": "A <em>small</em> használata egy kvantált modellverziót alkalmaz, amely kevesebb memóriát használ és gyorsabban fut a CPU-n, miközben a beágyazás minősége alig észrevehető mértékben változik."
+        },
+        "large": {
+          "title": "nagy",
+          "desc": "A <em>large</em> használata a teljes Jina modellt alkalmazza, és automatikusan a GPU-n futtatja, ha ez elérhető."
+        },
+        "desc": "A szemantikus keresés beágyazásaihoz használt modell mérete."
+      },
+      "title": "Szemantikus keresés",
+      "desc": "A Frigate szemantikus keresés funkciója lehetővé teszi, hogy a felülvizsgálati elemekben szereplő követett objektumokat megtalálja akár magával a képpel, egy felhasználó által megadott szöveges leírással, vagy egy automatikusan generált leírással."
+    },
+    "birdClassification": {
+      "title": "Madár Osztályozás",
+      "desc": "A madárfelismerés egy kvantált Tensorflow modell segítségével azonosít ismert madarakat. Ha egy ismert madarat felismer, annak közismert neve sub_label jelölésként kerül hozzáadásra. Ez az információ megjelenik a felhasználói felületen, a szűrőkben, valamint az értesítésekben is."
+    },
+    "faceRecognition": {
+      "title": "Arcfelismerés",
+      "readTheDocumentation": "Olvassa el a Dokumentációt",
+      "modelSize": {
+        "label": "Modell Mérete",
+        "desc": "Az arcfelismeréshez használt modell mérete.",
+        "small": {
+          "title": "kis",
+          "desc": "A <em>small</em> használata egy FaceNet arcbeágyazási modellt alkalmaz, amely a legtöbb CPU-n hatékonyan fut."
+        },
+        "large": {
+          "title": "nagy",
+          "desc": "A <em>large</em> használata egy ArcFace arcbeágyazási modellt alkalmaz, és automatikusan a GPU-n fut, ha az elérhető."
+        }
+      },
+      "desc": "Az arcfelismerés lehetővé teszi, hogy személyekhez neveket rendeljenek, és amikor az arcukat felismeri a Frigate, akkor a személy nevét alcímkeként rendeli hozzá. Ez az információ megjelenik a felhasználói felületen, a szűrőkben és az értesítésekben is."
+    },
+    "licensePlateRecognition": {
+      "title": "Rendszámtábla Felismerés",
+      "readTheDocumentation": "Olvassa el a Dokumentációt",
+      "desc": "A Frigate képes felismerni a járművek rendszámtábláit, és automatikusan hozzáadja a felismert karaktereket a recognized_license_plate mezőhöz, vagy egy ismert nevet al_címkeként rendel az autótípusú objektumokhoz. Egy gyakori felhasználási eset lehet a bejáróra behajtó vagy az utcán elhaladó autók rendszámtáblájának olvasása."
+    },
+    "toast": {
+      "error": "Konfigurációs változtatások mentése sikertelen: {{errorMessage}}",
+      "success": "A kiegészítő beállítások elmentésre kerültek. A módosítások alkalmazásához indítsa újra a Frigate-et."
+    },
+    "unsavedChanges": "Mentetlen gazdagítási beállítás változtatások",
+    "title": "Kiegészítők Beállítása",
+    "restart_required": "Újraindítás szükséges (a kiegészítő beállítások megváltoztak)"
+  },
+  "notification": {
+    "title": "Értesítések",
+    "notificationSettings": {
+      "documentation": "Olvassa el a Dokumentációt",
+      "title": "Értesítési Beállítások",
+      "desc": "A Frigate natívan képes push értesítéseket küldeni az eszközére, ha böngészőben fut vagy PWA-ként van telepítve."
+    },
+    "globalSettings": {
+      "title": "Globális Beállítások",
+      "desc": "Ideiglenesen függessze fel az értesítéseket meghatározott kamerákhoz az összes regisztrált eszközön."
+    },
+    "email": {
+      "title": "E-mail",
+      "placeholder": "Példa example@email.com",
+      "desc": "Érvényes e-mail cím szükséges, amelyre értesítést küldünk, ha problémák adódnak a push szolgáltatással."
+    },
+    "suspended": "Értesítések felfüggesztve {{time}}",
+    "active": "Értesítések Bekapcsolva",
+    "suspendTime": {
+      "5minutes": "Felfüggesztés 5 percre",
+      "24hours": "Felfüggesztés 24 órára",
+      "suspend": "Felfüggeszt",
+      "12hours": "Felfüggesztés 12 órára",
+      "10minutes": "Felfüggesztés 10 percre",
+      "1hour": "Felfüggesztés 1 órára",
+      "30minutes": "Felfüggesztés 30 percre",
+      "untilRestart": "Felfüggesztés újraindításig"
+    },
+    "toast": {
+      "success": {
+        "settingSaved": "Értesítési beállítások elmentve.",
+        "registered": "Sikeresen regisztrált az értesítések fogadására. Az értesítések (beleértve a tesztértesítést is) küldése előtt újra kell indítani a Frigate-et."
+      },
+      "error": {
+        "registerFailed": "Nem sikerült elmenteni az értesítési regisztrációt."
+      }
+    },
+    "notificationUnavailable": {
+      "title": "Értesítés elérhetetlen",
+      "documentation": "Olvassa el a Dokumentációt",
+      "desc": "A webes push értesítésekhez biztonságos környezet (<code>https://…</code>) szükséges. Ez egy böngészői korlátozás. A értesítések használatához férjen hozzá biztonságosan a Frigate-hez."
+    },
+    "sendTestNotification": "Teszt értesítés küldése",
+    "deviceSpecific": "Eszköz Specifikus Beállítások",
+    "cameras": {
+      "desc": "Válassza ki mely kamerákhoz engedélyezi az értesítéseket.",
+      "noCameras": "Nincs elérhető kamera",
+      "title": "Kamerák"
+    },
+    "unsavedChanges": "Mentetlen Értesítés változtatások",
+    "cancelSuspension": "Felfüggesztés megszüntetése",
+    "registerDevice": "Regisztráld ezt az eszközt",
+    "unregisterDevice": "Eszköz regisztrációjának törlése",
+    "unsavedRegistrations": "Nem mentett értesítési regisztrációk"
+  },
+  "frigatePlus": {
+    "modelInfo": {
+      "error": "Modell információ betöltése sikertelen",
+      "plusModelType": {
+        "baseModel": "Alap modell",
+        "userModel": "Finomhangolt"
+      },
+      "supportedDetectors": "Támogatott Érzékelők",
+      "baseModel": "Alap modell",
+      "loadingAvailableModels": "Elérhető modellek betöltése…",
+      "loading": "Modell információ betöltése…",
+      "availableModels": "Elérhető modellek",
+      "modelType": "Modell típus",
+      "title": "Modell Információ",
+      "cameras": "Kamerák",
+      "trainDate": "Tanítás dátum",
+      "modelSelect": "A Frigate+-on elérhető modelljeit itt választhatja ki. Figyelem: csak az aktuális érzékelő konfigurációval kompatibilis modellek választhatók."
+    },
+    "apiKey": {
+      "plusLink": "Tudjon meg többet a Frigate+-ról",
+      "title": "Frigate+ API kulcs",
+      "validated": "Frigate+ API kulcs észlelve és ellenőrizve",
+      "notValidated": "Frigate+ API kulcs nem található vagy nem ellenőrzött",
+      "desc": "A Frigate+ API kulcs lehetővé teszi az integrációt a Frigate+ szolgáltatással."
+    },
+    "snapshotConfig": {
+      "title": "Pillanatkép Konfiguráció",
+      "table": {
+        "snapshots": "Pillanatképek",
+        "camera": "Kamera",
+        "cleanCopySnapshots": "<code>clean_copy</code> pillanatképek"
+      },
+      "documentation": "Olvassa el a dokumentációt",
+      "desc": "A Frigate+ szolgáltatásba történő beküldéshez a konfigurációban engedélyezni kell a pillanatképeket és a <code>clean_copy</code> pillanatképeket is.",
+      "cleanCopyWarning": "Néhány kamerán engedélyezve vannak a pillanatképek, de a tiszta másolat ki van kapcsolva. Ahhoz, hogy ezekről a kamerákról képeket tudjon beküldeni a Frigate+ szolgáltatásba, engedélyeznie kell a <code>clean_copy</code> beállítást a pillanatkép konfigurációban."
+    },
+    "restart_required": "Újraindítás szükséges ( Frigate+ modell megváltozott)",
+    "toast": {
+      "success": "Frigate+ beállítások elmentve. Indítsa újra a Frigate-et a változtatások érvényrejutásához.",
+      "error": "Konfigurációs módosítások mentése sikertelen: {{errorMessage}}"
+    },
+    "title": "Frigate+ Beállítások",
+    "unsavedChanges": "Mentetlen Frigate+ beállítás változtatások"
+  },
+  "users": {
+    "dialog": {
+      "changeRole": {
+        "roleInfo": {
+          "viewer": "Néző",
+          "admin": "Adminisztrátor",
+          "intro": "Válassza ki a megfelelő szerepkört ehhez a felhasználóhoz:",
+          "adminDesc": "Teljes hozzáférés az összes funkcióhoz.",
+          "viewerDesc": "Csak az Élő irányítópultokhoz, Ellenőrzéshez, Felfedezéshez és Exportokhoz korlátozva."
+        },
+        "title": "Felhasználói szerepkör módosítása",
+        "select": "Válasszon szerepkört",
+        "desc": "Engedélyek frissítése <strong>{{username}}</strong> számára"
+      },
+      "form": {
+        "user": {
+          "desc": "Csak betűk, számok, pontok és alulhúzások engedélyezettek.",
+          "title": "Felhasználói név",
+          "placeholder": "Adja meg a felhasználói nevet"
+        },
+        "password": {
+          "match": "A jelszavak egyeznek",
+          "strength": {
+            "weak": "Gyenge",
+            "veryStrong": "Nagyon Erős",
+            "strong": "Erős",
+            "medium": "Közepes",
+            "title": "Jelszó erőssége: "
+          },
+          "placeholder": "Adja meg a jelszót",
+          "title": "Jelszó",
+          "confirm": {
+            "placeholder": "Erősítse meg Jelszavát",
+            "title": "Erősítse meg Jelszavát"
+          },
+          "notMatch": "A jelszavak nem egyeznek"
+        },
+        "newPassword": {
+          "title": "Új Jelszó",
+          "placeholder": "Adjon meg egy új jelszót",
+          "confirm": {
+            "placeholder": "Adja meg ismét az új jelszót"
+          }
+        },
+        "usernameIsRequired": "Felhasználói név szükséges",
+        "passwordIsRequired": "Jelszó szükséges"
+      },
+      "createUser": {
+        "usernameOnlyInclude": "A felhasználói név csak betűket, számokat, .-t vagy _-t tartalmazhat",
+        "title": "Új Felhasználó Létrehozása",
+        "confirmPassword": "Erősítse meg a jelszavát",
+        "desc": "Új felhasználói fiók hozzáadása, és egy szerepkör megadása a Frigate felhasználói felületének területeihez való hozzáféréshez."
+      },
+      "deleteUser": {
+        "title": "Felhasználó Törlése",
+        "warn": "Biztosan törölni akarja <strong>{{username}}</strong>-t?",
+        "desc": "Ez a művelet nem vonható vissza. Ez véglegesen törli a felhasználói fiókot és minden kapcsolódó adatot."
+      },
+      "passwordSetting": {
+        "setPassword": "Jelszó Megadása",
+        "doNotMatch": "Jelszavak nem egyeznek",
+        "cannotBeEmpty": "A jelszó nem lehet üres",
+        "updatePassword": "{{username}} Jelszavának Módosítása",
+        "desc": "Hozzon létre erős jelszót a fiók védelméhez."
+      }
+    },
+    "table": {
+      "noUsers": "Felhasználók nem találhatóak.",
+      "username": "Felhasználói név",
+      "password": "Jelszó",
+      "deleteUser": "Felhasználó törlése",
+      "actions": "Műveletek",
+      "role": "Szerepkör",
+      "changeRole": "felhasználói szerepkör módosítása"
+    },
+    "toast": {
+      "error": {
+        "setPasswordFailed": "Jelszó mentése sikertelen: {{errorMessage}}",
+        "deleteUserFailed": "Felhasználó törlése sikertelen: {{errorMessage}}",
+        "createUserFailed": "Felhasználó létrehozása sikertelen: {{errorMessage}}",
+        "roleUpdateFailed": "Nem sikerült frissíteni a szerepkört: {{errorMessage}}"
+      },
+      "success": {
+        "updatePassword": "Jelszó sikeresen módosítva.",
+        "deleteUser": "{{user}} felhasználó sikeresen törölve",
+        "createUser": "{{user}} felhasználó sikeresen létrehozva",
+        "roleUpdated": "A szerepkör frissítve lett a(z) {{user}} számára"
+      }
+    },
+    "addUser": "Felhasználó hozzáadása",
+    "updatePassword": "Jelszó Módosítása",
+    "management": {
+      "desc": "Ezen Frigate példány felhasználóinak kezelése.",
+      "title": "Felhasználó kezelés"
+    },
+    "title": "Felhasználók"
+  },
+  "masksAndZones": {
+    "zones": {
+      "desc": {
+        "documentation": "Dokumentáció",
+        "title": "A zónák lehetővé teszik, hogy meghatározzon egy adott területet a képkockán belül, így eldöntheti, hogy egy objektum egy adott területen belül van-e vagy sem."
+      },
+      "edit": "Zóne Módosítása",
+      "label": "Zónák",
+      "documentTitle": "Zóna Módosítása - Frigate",
+      "name": {
+        "title": "Név",
+        "tips": "A névnek legalább 2 karakterből kell állnia és nem a kamera neve vagy egy másik zónáé.",
+        "inputPlaceHolder": "Adjon meg egy nevet…"
+      },
+      "objects": {
+        "title": "Tárgyak",
+        "desc": "Adott zónára vonatkozó tárgyak listája."
+      },
+      "add": "Zóna Hozzáadása",
+      "allObjects": "Minden Tárgy",
+      "speedEstimation": {
+        "title": "Sebesség Becslés",
+        "docs": "Olvassa el a dokumentációt",
+        "lineADistance": "A vonal távsolság {{unit}}",
+        "lineBDistance": "B vonal távolsága {{unit}}",
+        "lineCDistance": "C vonal távolsága {{unit}}",
+        "lineDDistance": "D vonal távolsága {{unit}}",
+        "desc": "Engedélyezze a sebességbecslést a zónában lévő objektumokra. A zónának pontosan 4 pontból kell állnia."
+      },
+      "speedThreshold": {
+        "title": "Sebesség Határérték {{unit}}",
+        "desc": "Megadja a minimális sebességet, amely felett az objektumokat ebben a zónában figyelembe kell venni.",
+        "toast": {
+          "error": {
+            "pointLengthError": "A sebességbecslés le lett tiltva ennél a zónánál. A sebességbecslést tartalmazó zónáknak pontosan 4 pontból kell állniuk.",
+            "loiteringTimeError": "Az olyan zónák, amelyeknél a tartózkodási idő nagyobb, mint 0, nem használhatók sebességbecsléssel együtt."
+          }
+        }
+      },
+      "point_one": "{{count}} pont",
+      "point_other": "{{count}} pont",
+      "clickDrawPolygon": "Kattintson a sokszög rajzoláshoz a képen.",
+      "inertia": {
+        "title": "Inercia",
+        "desc": "Megadja, hogy hány képkockán keresztül kell egy objektumnak a zónában lennie, mielőtt azt a zónán belülinek tekintenénk. <em>Alapértelmezett: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Lebzselési idő",
+        "desc": "Beállítja a zónában tartózkodás minimális idejét másodpercben, amelynek teljesülnie kell az aktiváláshoz. <em>Alapértelmezett: 0</em>"
+      },
+      "toast": {
+        "success": "A(z) {{zoneName}} zóna elmentésre került. A módosítások alkalmazásához indítsa újra a Frigate-et."
+      }
+    },
+    "objectMasks": {
+      "point_one": "{{count}} pont",
+      "point_other": "{{count}} pont",
+      "label": "Tárgymaszkok",
+      "desc": {
+        "documentation": "Dokumentáció",
+        "title": "Az objektumszűrő maszkokat arra használják, hogy hely alapján kiszűrjék a téves egyezéseket adott objektumtípus esetén."
+      },
+      "documentTitle": "Tárgymaszk módosítása - Frigate",
+      "objects": {
+        "title": "Tárgyak",
+        "allObjectTypes": "Minden tárgytípus",
+        "desc": "Az objektumtípus, amelyre ez az objektummaszk vonatkozik."
+      },
+      "edit": "Tárgymaszk módosítása",
+      "add": "Tárgymaszk hozzáadása",
+      "context": "Az objektumszűrő maszkokat arra használják, hogy hely alapján kiszűrjék az adott objektumtípus téves egyezéseit.",
+      "clickDrawPolygon": "Kattintson a képre, hogy poligont rajzoljon.",
+      "toast": {
+        "success": {
+          "title": "A(z) {{polygonName}} elmentve. A módosítások alkalmazásához indítsa újra a Frigate-et.",
+          "noName": "Az objektummaszk elmentésre került. A módosítások alkalmazásához indítsa újra a Frigate-et."
+        }
+      }
+    },
+    "form": {
+      "polygonDrawing": {
+        "delete": {
+          "title": "Törlés Megerősítése",
+          "desc": "Biztosan törölni akarja {{type}}<em>{{name}}</em>-t?",
+          "success": "{{name}} törölve."
+        },
+        "error": {
+          "mustBeFinished": "A sokszög rajzolásnak be kell fejeződnie mentés előtt."
+        },
+        "removeLastPoint": "Utolsó pont törlése",
+        "reset": {
+          "label": "Minden pont törlése"
+        },
+        "snapPoints": {
+          "true": "Képkivágási pontok",
+          "false": "Ne rögzítse a pontokat"
+        }
+      },
+      "zoneName": {
+        "error": {
+          "hasIllegalCharacter": "A zóna neve olyan karaktert tartalmaz, ami nem megengedett.",
+          "mustBeAtLeastTwoCharacters": "A zóna neve legalább 2 karakterből kell, hogy álljon.",
+          "mustNotBeSameWithCamera": "A zóna neve nem egyezhet meg a kamera nevével.",
+          "alreadyExists": "Egy zóna ezen a néven már létezik ennél a kameránál.",
+          "mustNotContainPeriod": "A zóna neve nem tartalmazhat pontot."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "A távolságnak nagyobb vagy egyenlőnek kell lennie, mint 0.1.",
+          "mustBeFilled": "A sebességbecslés használatához minden távolságmezőt ki kell tölteni."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "A tehetetlenségnek nagyobbnak kell lennie 0-nál."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "A tartózkodási időnek nagyobbnak vagy egyenlőnek kell lennie 0-hoz képest."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "A sebességküszöbnek nagyobbnak vagy egyenlőnek kell lennie 0.1-hez képest."
+        }
+      }
+    },
+    "motionMasks": {
+      "desc": {
+        "documentation": "Dokumentáció",
+        "title": "A mozgásmaszkokat arra használják, hogy megakadályozzák a nem kívánt mozgástípusok észlelését. A túlzott maszkolás megnehezíti az objektumok követését."
+      },
+      "context": {
+        "documentation": "Olvassa el a dokumentációt",
+        "title": "A mozgásmaszkokat arra használják, hogy megakadályozzák a nem kívánt mozgástípusok észlelését (például faágak, kamera időbélyegek). A mozgásmaszkokat <em>nagyon megfontoltan</em> kell alkalmazni, mert a túlzott maszkolás megnehezíti az objektumok követését."
+      },
+      "edit": "Mozgási Maszk Módosítása",
+      "polygonAreaTooLarge": {
+        "documentation": "Olvassa el a dokumentációt",
+        "title": "A mozgásmaszk a kamera képkockájának {{polygonArea}}%-át fedi le. Nagy mozgásmaszkok használata nem ajánlott.",
+        "tips": "A mozgásmaszkok nem akadályozzák meg az objektumok észlelését. Ehelyett ajánlott kötelező zónát használni."
+      },
+      "documentTitle": "Mozgási Maszk Módosítása - Frigate",
+      "add": "Új Mozgási Maszk",
+      "point_one": "{{count}} pont",
+      "point_other": "{{count}} pont",
+      "label": "Mozgási maszk",
+      "clickDrawPolygon": "Kattintson a sokszög rajzoláshoz a képre.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} neve mentve. Indítsa újra a Frigate-et a módosítások érvényesítéséhez.",
+          "noName": "A mozgásmaszk elmentésre került. A módosítások alkalmazásához indítsa újra a Frigate-et."
+        }
+      }
+    },
+    "restart_required": "Újraindítás szükséges (maszkok/zónák módosultak)",
+    "filter": {
+      "all": "Mindem Maszk és Zóna"
+    },
+    "motionMaskLabel": "Mozgási Maszk {{number}}",
+    "objectMaskLabel": "Tárgy Maszk {{number}} {{label}}",
+    "toast": {
+      "success": {
+        "copyCoordinates": "A {{polyName}} koordinátái vágólapra másolva."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Nem sikerült a koordinátákat a vágólapra másolni."
+      }
+    }
+  },
+  "debug": {
+    "objectList": "Tárgy lista",
+    "debugging": "Hibakeresés",
+    "motion": {
+      "desc": "Mutasd a dobozokat azon területek körül, ahol mozgás észlelés történt",
+      "title": "Mozgáskeretek",
+      "tips": "<p><strong>Mozgáskeretek</strong></p><br><p>Piros keretek jelennek meg a képkocka azon területein, ahol jelenleg mozgást észlelhető.</p>"
+    },
+    "zones": {
+      "title": "Zónák",
+      "desc": "Mutassa a meghatározott zónák körvonalát"
+    },
+    "objectShapeFilterDrawing": {
+      "score": "Pontszám",
+      "document": "Olvassa el a dokumentációt ",
+      "area": "Terület",
+      "title": "Objektum alak szűrő rajzolás",
+      "desc": "Rajzoljon egy téglalapot a képre a terület- és arányadatok megtekintéséhez",
+      "tips": "Engedélyezze ezt az opciót, hogy téglalapot rajzoljon a kameraképen, amely megmutatja a területét és az arányát. Ezek az értékek ezután felhasználhatók az objektumalak szűrő paramétereinek beállításához a konfigurációban.",
+      "ratio": "Arány"
+    },
+    "timestamp": {
+      "title": "Időbélyeg",
+      "desc": "Időbélyeg megjelenítése a képen"
+    },
+    "title": "Hibakeresés",
+    "noObjects": "Nincs tárgy",
+    "detectorDesc": "A Frigate a(z) {{detectors}} érzékelőit használja az objektumok észlelésére a kamera videófolyamában.",
+    "desc": "A hibakereső nézet valós idejű képet mutat a követett objektumokról és azok statisztikáiról. Az objektumlista késleltetett összefoglalót ad az észlelt objektumokról.",
+    "boundingBoxes": {
+      "title": "Határoló keretek",
+      "desc": "Mutassa a határoló kereteket a követett objektumok körül",
+      "colors": {
+        "label": "Határolókeret színek",
+        "info": "<li>Indításkor minden objektumcímkéhez más-más szín kerül hozzárendelésre</li><li>A sötétkék vékony vonal azt jelzi, hogy az objektum ebben a pillanatban nincs észlelve</li><li>A szürke vékony vonal azt jelzi, hogy az objektum állónak van észlelve</li><li>A vastag vonal azt jelzi, hogy az objektum az automatikus követés tárgya (ha engedélyezve van)</li>"
+      }
+    },
+    "mask": {
+      "title": "Mozgásmaszkok",
+      "desc": "Mozgásmaszk poligonok megjelenítése"
+    },
+    "regions": {
+      "title": "Régiók",
+      "desc": "Mutassa a célterület keretét, amelyet az objektumérzékelőhöz küldenek",
+      "tips": "<p><strong>Célterület keretek</strong></p><br><p>Világoszöld keretek jelennek meg a képkocka azon területein, amelyek az objektumérzékelőnek elküldésre kerülnek.</p>"
+    }
+  },
+  "motionDetectionTuner": {
+    "toast": {
+      "success": "Mozgási beállítások mentve."
+    },
+    "improveContrast": {
+      "desc": "Növelje a kontrasztot a sötétebb jeleneteknél. <em>Alapbeállítás: BE</em>",
+      "title": "Kontraszt Növelése"
+    },
+    "Threshold": {
+      "title": "Határérték",
+      "desc": "A küszöbérték határozza meg, hogy egy pixel fényességének mekkora változása szükséges ahhoz, hogy mozgásnak minősüljön. <em>Alapértelmezett: 30</em>"
+    },
+    "title": "Mozgásérzékelő hangoló",
+    "unsavedChanges": "Nem mentett mozgásérzékelő hangolási módosítások ({{camera}})",
+    "desc": {
+      "title": "A Frigate a mozgásérzékelést elsődleges ellenőrzésként használja, hogy megállapítsa, van-e a képkockában olyan esemény, amely érdemes az objektumfelismeréssel való vizsgálatra.",
+      "documentation": "Olvassa el a mozgásérzékelő hangolási útmutatót"
+    },
+    "contourArea": {
+      "title": "Kontúrterület",
+      "desc": "A kontúrterület értékét arra használják, hogy eldöntsék, melyik megváltozott pixelekből álló csoport minősül mozgásnak. <em>Alapértelmezett: 10</em>"
+    }
+  },
+  "camera": {
+    "streams": {
+      "title": "Adások",
+      "desc": "Ideiglenesen tiltsa le a kamerát a Frigate újraindításáig. A kamera teljes letiltása megállítja a Frigate feldolgozását az adott kamera közvetítésénél. Az észlelés, rögzítés és hibakeresés nem lesz elérhető.<br /> <em>Megjegyzés: Ez nem tiltja le a go2rtc újraközvetítéseket.</em>"
+    },
+    "review": {
+      "title": "Áttekintés",
+      "alerts": "Riasztások ",
+      "detections": "Érzékelések ",
+      "desc": "Ideiglenesen engedélyezze/tiltsa le a riasztásokat és észleléseket ennél a kameránál a Frigate újraindításáig. Letiltás esetén nem keletkeznek új ellenőrzési elemek. "
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "Olvassa el a Dokumentációt",
+      "title": "Attekintés Osztályozás",
+      "noDefinedZones": "Nincs zóna meghatározva ehhez a kamerához.",
+      "objectAlertsTips": "Minden {{alertsLabels}} tárgy a {{cameraName}} -n Riasztásként fog megjelenni.",
+      "selectDetectionsZones": "Válassza ki a zónákat az Észleléshez",
+      "limitDetections": "Korlátozza az észleléseket adott zónákra",
+      "selectAlertsZones": "Válassza ki a zónákat a Riasztásokhoz",
+      "zoneObjectAlertsTips": "Minden {{alertsLabels}}tárgy észlelés {{zone}}-ban/-ben a {{cameraName}}-n Riasztásként lesz megjelenítve.",
+      "objectDetectionsTips": "Minden {{detectionsLabels}} tárgy, ami nincs bekategorizálva a {{cameraName}}-n Észleléskén lesz megjelenítve függetlenül attól, hogy melyik zónában vannak.",
+      "desc": "A Frigate az ellenőrzési elemeket Riasztásokra és Észlelésekre osztja. Alapértelmezés szerint az összes <em>személy</em> és <em>autó</em> objektum Riasztásnak számít. Az ellenőrzési elemek kategorizálását finomíthatja azzal, hogy megadja az észleléshez szükséges zónákat.",
+      "zoneObjectDetectionsTips": {
+        "text": "Az összes {{detectionsLabels}} objektum, amely nincs kategorizálva a(z) {{zone}} zónában a(z) {{cameraName}} kamerán, Észlelésként lesz megjelenítve.",
+        "notSelectDetections": "Az összes {{detectionsLabels}} objektum, amelyet a(z) {{zone}} zónában észleltek a(z) {{cameraName}} kamerán, és amely nem lett Riasztásként kategorizálva, Észlelésként lesz megjelenítve, függetlenül attól, hogy melyik zónában vannak.",
+        "regardlessOfZoneObjectDetectionsTips": "Az összes {{detectionsLabels}} objektum, amely nincs kategorizálva a(z) {{cameraName}} kamerán, Észlelésként lesz megjelenítve zónától függetlenül."
+      },
+      "unsavedChanges": "Nem mentett Ellenőrzési Kategorizálási beállítások a(z) {{camera}} kamerához",
+      "toast": {
+        "success": "Az Ellenőrzési Kategorizálás beállításai elmentésre kerültek. A módosítások alkalmazásához indítsa újra a Frigate-et."
+      }
+    },
+    "title": "Kamera Beállítások"
+  }
+}
diff --git a/web/public/locales/hu/views/system.json b/web/public/locales/hu/views/system.json
new file mode 100644
index 000000000..847ac7c83
--- /dev/null
+++ b/web/public/locales/hu/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Kamera statisztikák - Frigate",
+    "storage": "Tárhely statisztikák - Frigate",
+    "general": "Általános Statisztikák - Frigate",
+    "logs": {
+      "frigate": "Frigate naplók - Frigate",
+      "go2rtc": "Go2RTC naplók - Frigate",
+      "nginx": "Nginx naplók - Frigate"
+    },
+    "enrichments": "Kiegészítés statisztikák - Frigate"
+  },
+  "cameras": {
+    "label": {
+      "ffmpeg": "FFmpeg",
+      "overallSkippedDetectionsPerSecond": "összes kihagyott észlelés per másodperc",
+      "camera": "kamera",
+      "detect": "észlel",
+      "skipped": "kihagyott",
+      "overallFramesPerSecond": "összes képkocka per másodperc",
+      "overallDetectionsPerSecond": "összes észlelés per másodperc",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraDetect": "{{camName}} észlelés",
+      "cameraFramesPerSecond": "{{camName}} képkocka per másodperc",
+      "cameraDetectionsPerSecond": "{{camName}} észlelés per másodperc",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} kihagyott észlelés per másodperc",
+      "cameraCapture": "{{camName}} megszerzése",
+      "capture": "megszerez"
+    },
+    "title": "Kamerák",
+    "info": {
+      "video": "Videó:",
+      "resolution": "Felbontás:",
+      "codec": "Codec:",
+      "error": "Hiba: {{error}}",
+      "cameraProbeInfo": "{{camera}} Kamera Szonda Infó",
+      "fetching": "Kamera Adat Begyűjtése",
+      "aspectRatio": "képarány",
+      "stream": "Folyam: {{idx}}",
+      "fps": "FPS:",
+      "unknown": "Ismeretlen",
+      "audio": "Hang:",
+      "tips": {
+        "title": "Kamera Szonda Infó"
+      },
+      "streamDataFromFFPROBE": "Az adás adat begyűjtése <code>ffprobe</code>-bal."
+    },
+    "overview": "Áttekintés",
+    "framesAndDetections": "Képek / Észlelések",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Szonda adat másolva a vágólapra."
+      },
+      "error": {
+        "unableToProbeCamera": "Nem sikerült felderíteni a kamerát: {{errorMessage}}"
+      }
+    }
+  },
+  "title": "Rendszer",
+  "logs": {
+    "copy": {
+      "label": "Másolás a Vágólapra",
+      "error": "Nem sikerült a naplók vágólapra másolása",
+      "success": "Naplók a vágólapra másolva"
+    },
+    "type": {
+      "label": "Típus",
+      "timestamp": "Időbélyeg",
+      "tag": "Cédula",
+      "message": "Üzenet"
+    },
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Hiba a naplók begyűjtése közben: {{errorMessage}}",
+        "whileStreamingLogs": "Hiba a naplók bekérésekor: {{errorMessage}}"
+      }
+    },
+    "download": {
+      "label": "Naplók letöltése"
+    },
+    "tips": "A naplók a szerverről érkeznek"
+  },
+  "general": {
+    "title": "Általános",
+    "detector": {
+      "title": "Érzékelők",
+      "inferenceSpeed": "Érzékelők Inferencia Sebessége",
+      "cpuUsage": "Érzékelő CPU Kihasználtság",
+      "memoryUsage": "Érzékelő Memória Kihasználtság",
+      "temperature": "Érzékelő Hőmérséklete"
+    },
+    "hardwareInfo": {
+      "title": "Hardver Infó",
+      "gpuUsage": "GPU Kihasználtság",
+      "gpuMemory": "GPU Memória",
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "name": "Név: {{name}}",
+          "title": "Nvidia SMI Kimenet",
+          "vbios": "VBios Infó: {{vbios}}",
+          "driver": "Meghajtó: {{driver}}",
+          "cudaComputerCapability": "CUDA Számítási Képesség: {{cuda_compute}}"
+        },
+        "vainfoOutput": {
+          "processOutput": "Folyamat Kimenete:",
+          "processError": "Folyamat Hiba:",
+          "title": "Vainfo Kimenet",
+          "returnCode": "Visszatérési Érték: {{code}}"
+        },
+        "copyInfo": {
+          "label": "GPU infó másolása"
+        },
+        "closeInfo": {
+          "label": "GPU info bezárása"
+        },
+        "toast": {
+          "success": "GPU infó a vágólapra másolva"
+        }
+      },
+      "gpuEncoder": "GPU Enkóder",
+      "gpuDecoder": "GPU Dekóder",
+      "npuUsage": "NPU Kihasználtság",
+      "npuMemory": "NPU Memória"
+    },
+    "otherProcesses": {
+      "processMemoryUsage": "Folyamat Memória Kihasználtság",
+      "title": "Egyéb Folyamatok",
+      "processCpuUsage": "Folyamat CPU Kihasználtság"
+    }
+  },
+  "storage": {
+    "recordings": {
+      "title": "Felvételek",
+      "tips": "Ez az érték mutatja a Frigate adatbázisában található felvételek teljes tárhely felhasználását. A Frigate nem követi az összes fájl által foglalt tárhelyet.",
+      "earliestRecording": "Legkorábbi elérhető felvétel:"
+    },
+    "title": "Tárhely",
+    "overview": "Áttekintés",
+    "cameraStorage": {
+      "unusedStorageInformation": "Felhasználatlan Tárhely Információ",
+      "title": "Kamera Tárhely",
+      "camera": "Kamera",
+      "storageUsed": "Tárhely",
+      "percentageOfTotalUsed": "Teljes Százaléka",
+      "bandwidth": "Sávszélesség",
+      "unused": {
+        "title": "Felhasználatlan",
+        "tips": "Ez az érték nem feltétlenül tükrözi pontosan a Frigate számára elérhető szabad helyet, ha a meghajtón egyéb fájlok is tárolva vannak a Frigate felvételein kívül. A Frigate nem követi a tárhelyhasználatot a saját felvételein kívül."
+      }
+    }
+  },
+  "enrichments": {
+    "embeddings": {
+      "image_embedding_speed": "Kép Beágyazás Sebesség",
+      "face_embedding_speed": "Arc Beágyazás Sebesség",
+      "face_recognition_speed": "Arcfelismerés Sebesség",
+      "plate_recognition_speed": "Rendszám Felismerés Sebesség",
+      "text_embedding_speed": "Szöveg Beágyazás Sebesség",
+      "image_embedding": "Kép Beágyazása",
+      "text_embedding": "Szöveg Beágyazása",
+      "face_recognition": "Arcfelismerés",
+      "plate_recognition": "Rendszám Felismerés",
+      "yolov9_plate_detection_speed": "YOLOv9 Rendszám Felismerés Sebesség",
+      "yolov9_plate_detection": "YOLOv9 Rendszám Észlelés"
+    },
+    "infPerSecond": "Inferencia Per Másodperc",
+    "title": "Kiegészítések"
+  },
+  "metrics": "Rendszer jellemzők",
+  "stats": {
+    "detectIsVerySlow": "{{detect}} nagyon lassú ({{speed}} ms)",
+    "healthy": "A rendszer egészséges",
+    "cameraIsOffline": "{{camera}} nem elérhető",
+    "detectIsSlow": "{{detect}} lassú ({{speed}} ms)",
+    "reindexingEmbeddings": "Beágyazások újra indexelése ({{processed}}% kész)",
+    "ffmpegHighCpuUsage": "{{camera}}-nak/-nek magas FFmpeg CPU felhasználása ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "A(z) {{camera}} kameránál magas az észlelési CPU-használat ({{detectAvg}}%)"
+  },
+  "lastRefreshed": "Utoljára frissítve: "
+}
diff --git a/web/public/locales/id/audio.json b/web/public/locales/id/audio.json
new file mode 100644
index 000000000..0d46db1e1
--- /dev/null
+++ b/web/public/locales/id/audio.json
@@ -0,0 +1,31 @@
+{
+  "yell": "Teriakan",
+  "speech": "Bahasa",
+  "babbling": "Ocehan",
+  "bellow": "Di bawah",
+  "whoop": "Teriakan",
+  "whispering": "Bisikan",
+  "snicker": "Tertawa",
+  "crying": "Menangis",
+  "sigh": "Mendesah",
+  "choir": "Paduan Suara",
+  "yodeling": "Bernyanyi Yodel",
+  "chant": "Nyanyian",
+  "child_singing": "Anak bernyanyi",
+  "rapping": "Mengetuk",
+  "humming": "Bersenandung",
+  "groan": "Mengerang",
+  "grunt": "Mendengus",
+  "breathing": "Bernafas",
+  "laughter": "Tertawa",
+  "singing": "Nyanyian",
+  "mantra": "Mantra",
+  "synthetic_singing": "Nyanyian sintesis",
+  "whistling": "Siulan",
+  "car": "Mobil",
+  "motorcycle": "Motor",
+  "bicycle": "Sepeda",
+  "bus": "Bis",
+  "train": "Kereta",
+  "boat": "Kapal"
+}
diff --git a/web/public/locales/id/common.json b/web/public/locales/id/common.json
new file mode 100644
index 000000000..afe3a285c
--- /dev/null
+++ b/web/public/locales/id/common.json
@@ -0,0 +1,14 @@
+{
+  "time": {
+    "untilForRestart": "Hingga Frigate memulai ulang.",
+    "untilRestart": "Sampai memulai ulang",
+    "ago": "{{timeAgo}} Lalu",
+    "justNow": "Sekarang",
+    "today": "Hari ini",
+    "yesterday": "Kemarin",
+    "untilForTime": "Hingga {{time}}",
+    "last7": "7 hari terakhir",
+    "last14": "14 hari terakhir",
+    "last30": "30 hari terakhir"
+  }
+}
diff --git a/web/public/locales/id/components/auth.json b/web/public/locales/id/components/auth.json
new file mode 100644
index 000000000..0bc931d99
--- /dev/null
+++ b/web/public/locales/id/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nama pengguna",
+    "password": "Kata sandi",
+    "login": "Masuk",
+    "errors": {
+      "usernameRequired": "Wajib Menggunakan Username",
+      "passwordRequired": "Wajib memakai Password",
+      "rateLimit": "Melewati batas permintaan. Coba lagi nanti.",
+      "loginFailed": "Gagal Masuk",
+      "unknownError": "Eror tidak diketahui. Mohon lihat log.",
+      "webUnknownError": "Eror tidak diketahui. Mohon lihat log konsol."
+    }
+  }
+}
diff --git a/web/public/locales/id/components/camera.json b/web/public/locales/id/components/camera.json
new file mode 100644
index 000000000..da128850f
--- /dev/null
+++ b/web/public/locales/id/components/camera.json
@@ -0,0 +1,22 @@
+{
+  "group": {
+    "label": "Grup Kamera",
+    "add": "Tambah Grup Kamera",
+    "edit": "Edit Grup kamera",
+    "delete": {
+      "label": "Hapus Grup Kamera",
+      "confirm": {
+        "title": "Yakin Hapus",
+        "desc": "Apakah Anda yakin ingin menghapus grup kamera <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nama",
+      "placeholder": "Masukkan nama…",
+      "errorMessage": {
+        "mustLeastCharacters": "Nama grup kamera minimal harus 2 karakter.",
+        "exists": "Nama grup kamera sudah ada."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/id/components/dialog.json b/web/public/locales/id/components/dialog.json
new file mode 100644
index 000000000..5d5f20fb8
--- /dev/null
+++ b/web/public/locales/id/components/dialog.json
@@ -0,0 +1,25 @@
+{
+  "restart": {
+    "title": "Apakah kamu yakin ingin memulai ulang Frigate?",
+    "button": "Mulai ulang",
+    "restarting": {
+      "title": "Sedang Merestart Frigate",
+      "content": "Halaman ini akan memulai ulang dalam {{countdown}} detik.",
+      "button": "Muat Ulang Sekarang"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Kirim ke Frigate+",
+        "desc": "Objek di lokasi yang ingin Anda hindari bukanlah deteksi palsu. Mengirimnya sebagai deteksi palsu akan membingungkan model."
+      },
+      "review": {
+        "question": {
+          "label": "Konfirmasi label ini untuk Frigate Plus",
+          "ask_a": "Apakah objek ini adalah sebuah<code>{{label}}</code>?"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/id/components/filter.json b/web/public/locales/id/components/filter.json
new file mode 100644
index 000000000..0ea01e61b
--- /dev/null
+++ b/web/public/locales/id/components/filter.json
@@ -0,0 +1,19 @@
+{
+  "filter": "Saring",
+  "labels": {
+    "label": "Label",
+    "all": {
+      "title": "Semua Label",
+      "short": "Label"
+    },
+    "count_one": "{{count}} Label",
+    "count_other": "{{count}} Label"
+  },
+  "zones": {
+    "label": "Zona",
+    "all": {
+      "title": "Semua Zona",
+      "short": "Zona"
+    }
+  }
+}
diff --git a/web/public/locales/id/components/icons.json b/web/public/locales/id/components/icons.json
new file mode 100644
index 000000000..de1a6a214
--- /dev/null
+++ b/web/public/locales/id/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Pilih ikon",
+    "search": {
+      "placeholder": "Cari Icon…"
+    }
+  }
+}
diff --git a/web/public/locales/id/components/input.json b/web/public/locales/id/components/input.json
new file mode 100644
index 000000000..8e0877bbd
--- /dev/null
+++ b/web/public/locales/id/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Unduh Video",
+      "toast": {
+        "success": "Video yang yang anda lihat sudah mulai di unduh."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/id/components/player.json b/web/public/locales/id/components/player.json
new file mode 100644
index 000000000..097e50a68
--- /dev/null
+++ b/web/public/locales/id/components/player.json
@@ -0,0 +1,20 @@
+{
+  "noPreviewFound": "Pratinjau Tidak Ditemukan",
+  "noPreviewFoundFor": "Tidak ada Pratinjau untuk {{cameraName}}",
+  "submitFrigatePlus": {
+    "submit": "Kirim",
+    "title": "Kirim frame ini ke Frigate+?"
+  },
+  "noRecordingsFoundForThisTime": "Tidak ada Rekaman pada waktu ini",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 atau yang lebih tinggi diperlukan untuk tipe siaran langsung ini.",
+  "streamOffline": {
+    "title": "Stream Tidak Aktif",
+    "desc": "Tidak ada gambar yang diterima dari strim <code>detect</code> {{cameraName}}, mohon lihat log error"
+  },
+  "cameraDisabled": "Kamera dinonaktifkan",
+  "stats": {
+    "streamType": {
+      "title": "Tipe stream:"
+    }
+  }
+}
diff --git a/web/public/locales/id/objects.json b/web/public/locales/id/objects.json
new file mode 100644
index 000000000..ce7f18a78
--- /dev/null
+++ b/web/public/locales/id/objects.json
@@ -0,0 +1,12 @@
+{
+  "person": "Orang",
+  "bicycle": "Sepeda",
+  "car": "Mobil",
+  "motorcycle": "Motor",
+  "airplane": "Pesawat",
+  "bus": "Bis",
+  "train": "Kereta",
+  "boat": "Kapal",
+  "traffic_light": "Lampu Lalu Lintas",
+  "fire_hydrant": "Hidran Kebakaran"
+}
diff --git a/web/public/locales/id/views/configEditor.json b/web/public/locales/id/views/configEditor.json
new file mode 100644
index 000000000..871c35180
--- /dev/null
+++ b/web/public/locales/id/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor Konfigurasi - Frigate",
+  "configEditor": "Editor Konfigurasi",
+  "copyConfig": "Salin Konfigurasi",
+  "saveAndRestart": "Simpan dan Mulai ulang",
+  "saveOnly": "Hanya simpan",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfigurasi disalin ke papan klip."
+    },
+    "error": {
+      "savingError": "Gagal menyimpan konfigurasi"
+    }
+  },
+  "confirm": "Keluar tanpa menyimpan?"
+}
diff --git a/web/public/locales/id/views/events.json b/web/public/locales/id/views/events.json
new file mode 100644
index 000000000..f320bae8f
--- /dev/null
+++ b/web/public/locales/id/views/events.json
@@ -0,0 +1,16 @@
+{
+  "alerts": "Peringatan",
+  "detections": "Deteksi",
+  "motion": {
+    "label": "Gerakan",
+    "only": "Hanya Gerakan"
+  },
+  "allCameras": "Semua Kamera",
+  "empty": {
+    "detection": "Tidak ada deteksi untuk ditinjau",
+    "alert": "Tidak ada peringatan untuk ditinjau",
+    "motion": "Data gerakan tidak ditemukan"
+  },
+  "timeline.aria": "Pilih timeline",
+  "timeline": "Linimasa"
+}
diff --git a/web/public/locales/id/views/explore.json b/web/public/locales/id/views/explore.json
new file mode 100644
index 000000000..de062e132
--- /dev/null
+++ b/web/public/locales/id/views/explore.json
@@ -0,0 +1,20 @@
+{
+  "documentTitle": "Jelajahi - Frigate",
+  "generativeAI": "AI Generatif",
+  "exploreIsUnavailable": {
+    "title": "Penelusuran tidak tersedia",
+    "embeddingsReindexing": {
+      "context": "Jelajahi dapat digunakan setelah embedding objek yang dilacak selesai di-reindex.",
+      "startingUp": "Sedang memulai…",
+      "estimatedTime": "Perkiraan waktu tersisa:",
+      "finishingShortly": "Selesai sesaat lagi",
+      "step": {
+        "thumbnailsEmbedded": "Keluku dilampirkan "
+      }
+    }
+  },
+  "details": {
+    "timestamp": "Stempel waktu"
+  },
+  "exploreMore": "Eksplor lebih jauh objek-objek {{label}}"
+}
diff --git a/web/public/locales/id/views/exports.json b/web/public/locales/id/views/exports.json
new file mode 100644
index 000000000..ebb88a9f7
--- /dev/null
+++ b/web/public/locales/id/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Expor - Frigate",
+  "search": "Cari",
+  "noExports": "Tidak bisa mengekspor",
+  "deleteExport": "Hapus Ekspor",
+  "deleteExport.desc": "Apakah Anda yakin ingin menghapus {{exportName}}?",
+  "editExport": {
+    "title": "Ganti Nama saat Ekspor",
+    "desc": "Masukkan nama baru untuk mengekspor.",
+    "saveExport": "Simpan Ekspor"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Gagal mengganti nama export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/id/views/faceLibrary.json b/web/public/locales/id/views/faceLibrary.json
new file mode 100644
index 000000000..ff1fd4b61
--- /dev/null
+++ b/web/public/locales/id/views/faceLibrary.json
@@ -0,0 +1,30 @@
+{
+  "description": {
+    "addFace": "Tambah ke koleksi Pustaka Wajah.",
+    "placeholder": "Masukkan Nama untuk koleksi ini",
+    "invalidName": "Nama tidak valid. Nama hanya dapat berisi huruf, angka, spasi, apostrof, garis bawah, dan tanda hubung."
+  },
+  "details": {
+    "person": "Orang",
+    "subLabelScore": "Skor Sub Label",
+    "face": "Detail Wajah",
+    "scoreInfo": "Skor sub label adalah nilai gabungan dari tingkat keyakinan sistem dalam mengenali wajah. Nilai ini bisa berbeda dengan skor yang terlihat pada gambar cuplikan.",
+    "timestamp": "Stempel waktu",
+    "unknown": "Tidak diketahui",
+    "faceDesc": "Detail objek terlacak yang menghasilkan wajah ini"
+  },
+  "documentTitle": "Perpustakaan Wajah - Frigate",
+  "collections": "Koleksi",
+  "createFaceLibrary": {
+    "desc": "Buat koleksi baru",
+    "title": "Buat Koleksi",
+    "nextSteps": "Untuk membangun fondasi yang kuat:<li>Gunakan tab Latih untuk memilih dan melatih gambar untuk setiap orang yang terdeteksi.</li><li>Fokus pada gambar lurus untuk hasil terbaik; hindari melatih gambar yang menangkap wajah pada sudut tertentu.</li></ul>"
+  },
+  "uploadFaceImage": {
+    "desc": "Unggah gambar untuk dipindai wajah dan sertakan untuk {{pageToggle}}",
+    "title": "Unggah Gambar Wajah"
+  },
+  "steps": {
+    "faceName": "Masukkan Nama Wajah"
+  }
+}
diff --git a/web/public/locales/id/views/live.json b/web/public/locales/id/views/live.json
new file mode 100644
index 000000000..97a733541
--- /dev/null
+++ b/web/public/locales/id/views/live.json
@@ -0,0 +1,21 @@
+{
+  "documentTitle.withCamera": "{{camera}} - Langsung - Frigate",
+  "documentTitle": "Langsung - Frigate",
+  "lowBandwidthMode": "Mode Bandwith-Rendah",
+  "twoWayTalk": {
+    "enable": "Nyalakan Komunikasi dua arah",
+    "disable": "Nonaktifkan Komunikasi Dua Arah"
+  },
+  "cameraAudio": {
+    "enable": "Nyalakan Audio Kamera",
+    "disable": "Matikan Audio Kamera"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klik kotak ini untuk menengahkan kamera",
+        "enable": "Aktifkan klik untuk bergerak"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/id/views/recording.json b/web/public/locales/id/views/recording.json
new file mode 100644
index 000000000..8d5970f6b
--- /dev/null
+++ b/web/public/locales/id/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Saring",
+  "export": "Expor",
+  "calendar": "Kalender",
+  "filters": "Penyaring",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Rentan Waktu yang dipilih tidak valid",
+      "endTimeMustAfterStartTime": "Waktu akhir harus setelah waktu mulai"
+    }
+  }
+}
diff --git a/web/public/locales/id/views/search.json b/web/public/locales/id/views/search.json
new file mode 100644
index 000000000..c4c598990
--- /dev/null
+++ b/web/public/locales/id/views/search.json
@@ -0,0 +1,13 @@
+{
+  "search": "Cari",
+  "savedSearches": "Simpan Pencarian",
+  "searchFor": "Cari untuk {{inputValue}}",
+  "button": {
+    "clear": "Bersihkan pencarian",
+    "save": "Simpan Pencarian",
+    "delete": "Hapus pencarian yang disimpan",
+    "filterInformation": "Saring Informasi",
+    "filterActive": "Filter aktif"
+  },
+  "trackedObjectId": "Tracked Object ID"
+}
diff --git a/web/public/locales/id/views/settings.json b/web/public/locales/id/views/settings.json
new file mode 100644
index 000000000..43c59244e
--- /dev/null
+++ b/web/public/locales/id/views/settings.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": {
+    "default": "Pengaturan - Frigate",
+    "camera": "Pengaturan Kamera - Frigate",
+    "classification": "Pengaturan Klasifikasi - Frigate",
+    "authentication": "Pengaturan Autentikasi - Frigate",
+    "masksAndZones": "Editor Mask dan Zona - Frigate",
+    "motionTuner": "Penyetel Gerakan - Frigate",
+    "general": "Frigate - Pengaturan Umum",
+    "object": "Debug - Frigate",
+    "enrichments": "Frigate - Pengaturan Pengayaan"
+  }
+}
diff --git a/web/public/locales/id/views/system.json b/web/public/locales/id/views/system.json
new file mode 100644
index 000000000..183e7ca34
--- /dev/null
+++ b/web/public/locales/id/views/system.json
@@ -0,0 +1,15 @@
+{
+  "documentTitle": {
+    "cameras": "Status kamera - Frigate",
+    "storage": "Status Penyimpanan - Frigate",
+    "general": "Status umum - Frigate",
+    "enrichments": "Statistik Enrichment - Frigate",
+    "logs": {
+      "frigate": "Log Frigate - Frigate",
+      "go2rtc": "Log Go2RTC - Frigate",
+      "nginx": "Log NGINX - Frigate"
+    }
+  },
+  "title": "Sistem",
+  "metrics": "Metrik sistem"
+}
diff --git a/web/public/locales/it/audio.json b/web/public/locales/it/audio.json
new file mode 100644
index 000000000..eb9b98a5b
--- /dev/null
+++ b/web/public/locales/it/audio.json
@@ -0,0 +1,429 @@
+{
+  "oink": "Grugnito",
+  "engine": "Motore",
+  "keyboard": "Tastiera",
+  "snake": "Serpente",
+  "mantra": "Mantra",
+  "radio": "Radio",
+  "goat": "Capra",
+  "bird": "Uccello",
+  "clock": "Orologio",
+  "gears": "Ingranaggi",
+  "fire": "Fuoco",
+  "hammer": "Martello",
+  "gunshot": "Sparo",
+  "bell": "Campana",
+  "explosion": "Esplosione",
+  "silence": "Silenzio",
+  "ambulance": "Ambulanza",
+  "thunder": "Tuono",
+  "purr": "Fusa",
+  "guitar": "Chitarra",
+  "bass_guitar": "Basso elettrico",
+  "eruption": "Eruzione",
+  "sound_effect": "Effetto sonoro",
+  "bicycle": "Bicicletta",
+  "vehicle": "Veicolo",
+  "flute": "Flauto",
+  "harp": "Arpa",
+  "steam": "Vapore",
+  "sailboat": "Barca a vela",
+  "helicopter": "Elicottero",
+  "coin": "Moneta",
+  "scissors": "Forbici",
+  "electric_shaver": "Rasoio elettrico",
+  "mechanisms": "Meccanismi",
+  "printer": "Stampante",
+  "television": "Televisione",
+  "environmental_noise": "Rumore ambientale",
+  "smoke_detector": "Rilevatore di fumo",
+  "clarinet": "Clarinetto",
+  "horse": "Cavallo",
+  "electric_guitar": "Chitarra elettrica",
+  "meow": "Miao",
+  "ringtone": "Suoneria",
+  "boat": "Barca",
+  "sampler": "Campionatore",
+  "song": "Canzone",
+  "clapping": "Applausi",
+  "cat": "Gatto",
+  "chicken": "Pollo",
+  "acoustic_guitar": "Chitarra acustica",
+  "speech": "Discorso",
+  "babbling": "Balbettio",
+  "motorcycle": "Motociclo",
+  "yell": "Urlo",
+  "whoop": "Ululato",
+  "car": "Automobile",
+  "bellow": "Ruggito",
+  "whispering": "Bisbiglio",
+  "snicker": "Risatina",
+  "crying": "Pianto",
+  "sigh": "Sospiro",
+  "singing": "Canto",
+  "choir": "Coro",
+  "yodeling": "Gorgheggio",
+  "chant": "Cantilena",
+  "child_singing": "Canto di bambino",
+  "laughter": "Risata",
+  "synthetic_singing": "Canto sintetico",
+  "rapping": "Rap",
+  "humming": "Mormorio",
+  "groan": "Gemito",
+  "grunt": "Grugnito",
+  "whistling": "Fischio",
+  "breathing": "Respiro",
+  "wheeze": "Respiro affannoso",
+  "snoring": "Russare",
+  "gasp": "Respiro profondo",
+  "cough": "Tosse",
+  "snort": "Sbuffare",
+  "pant": "Ansimare",
+  "throat_clearing": "Schiarimento della gola",
+  "sneeze": "Starnuto",
+  "sniff": "Sniffare",
+  "footsteps": "Passi",
+  "run": "Corsa",
+  "chewing": "Masticare",
+  "gargling": "Gargarismo",
+  "stomach_rumble": "Brontolio di stomaco",
+  "burping": "Rutto",
+  "fart": "Peto",
+  "hiccup": "Singhiozzo",
+  "finger_snapping": "Schiocco di dita",
+  "hands": "Mani",
+  "heartbeat": "Battito cardiaco",
+  "applause": "Applauso",
+  "heart_murmur": "Soffio cardiaco",
+  "cheering": "Tifo",
+  "animal": "Animale",
+  "pets": "Animali domestici",
+  "dog": "Cane",
+  "bark": "Abbaio",
+  "howl": "Ululato",
+  "yip": "Guaito",
+  "crowd": "Folla",
+  "livestock": "Bestiame",
+  "cowbell": "Campanaccio",
+  "turkey": "Tacchino",
+  "children_playing": "Bambini che giocano",
+  "chatter": "Chiacchiere",
+  "bow_wow": "Bau Bau",
+  "growling": "Ringhio",
+  "whimper_dog": "Lamento di cane",
+  "hiss": "Sibilo",
+  "caterwaul": "Miagolio",
+  "pig": "Maiale",
+  "sheep": "Pecora",
+  "fowl": "Pollame",
+  "bleat": "Belato",
+  "cock_a_doodle_doo": "Chicchirichì",
+  "gobble": "Glu Glu",
+  "cluck": "Chioccia",
+  "duck": "Anatra",
+  "quack": "Qua Qua",
+  "wild_animals": "Animali selvatici",
+  "goose": "Oca",
+  "honk": "Starnazzare",
+  "roar": "Ruggito",
+  "roaring_cats": "Ruggito felino",
+  "chirp": "Cinguettio",
+  "pigeon": "Piccione",
+  "crow": "Corvo",
+  "coo": "Tubare",
+  "owl": "Gufo",
+  "caw": "Gracchio",
+  "dogs": "Cani",
+  "hoot": "Bubbolio",
+  "flapping_wings": "Battito d'ali",
+  "mouse": "Mouse",
+  "rats": "Ratti",
+  "insect": "Insetto",
+  "cricket": "Grillo",
+  "mosquito": "Zanzara",
+  "buzz": "Ronzio",
+  "fly": "Mosca",
+  "frog": "Rana",
+  "croak": "Gracidio",
+  "rattle": "Sonaglio",
+  "music": "Musica",
+  "musical_instrument": "Strumento musicale",
+  "whale_vocalization": "Canto della balena",
+  "plucked_string_instrument": "Strumento a corda pizzicata",
+  "tapping": "Tapping (tecnica di chitarra)",
+  "steel_guitar": "Chitarra d'acciaio",
+  "strum": "Strimpellio",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolino",
+  "zither": "Cetra da tavolo",
+  "ukulele": "Ukulele",
+  "piano": "Pianoforte",
+  "electric_piano": "Pianoforte elettrico",
+  "organ": "Organo",
+  "electronic_organ": "Organo elettronico",
+  "synthesizer": "Sintetizzatore",
+  "hammond_organ": "Organo Hammond",
+  "drum_kit": "Batteria",
+  "drum": "Tamburo",
+  "drum_machine": "Drum Machine",
+  "tabla": "Tabla",
+  "cymbal": "Piatto",
+  "hi_hat": "Charleston",
+  "wood_block": "Blocco di legno",
+  "tambourine": "Tamburello",
+  "maraca": "Maracas",
+  "gong": "Gong",
+  "tubular_bells": "Campane tubolari",
+  "mallet_percussion": "Mazzuola",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibrafono",
+  "steelpan": "Tamburo d'acciaio",
+  "orchestra": "Orchestra",
+  "brass_instrument": "Ottoni",
+  "trumpet": "Tromba",
+  "french_horn": "Corno francese",
+  "trombone": "Trombone",
+  "bowed_string_instrument": "Strumento ad arco",
+  "violin": "Violino",
+  "string_section": "Sezione d'archi",
+  "cello": "Violoncello",
+  "double_bass": "Contrabbasso",
+  "pizzicato": "Pizzicato",
+  "wind_instrument": "Strumento a fiato",
+  "saxophone": "Sassofono",
+  "church_bell": "Campana della chiesa",
+  "jingle_bell": "Campanellino",
+  "bicycle_bell": "Campanello della bici",
+  "tuning_fork": "Diapason",
+  "chime": "Carillon",
+  "wind_chime": "Campane a vento",
+  "harmonica": "Armonica",
+  "accordion": "Fisarmonica",
+  "bagpipes": "Cornamusa",
+  "didgeridoo": "Didgeridoo",
+  "pop_music": "Musica pop",
+  "theremin": "Theremin",
+  "singing_bowl": "Campana tibetana",
+  "rock_music": "Musica rock",
+  "heavy_metal": "Heavy Metal",
+  "beatboxing": "Beatboxing",
+  "hip_hop_music": "Musica hip hop",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "rock_and_roll": "Rock and Roll",
+  "psychedelic_rock": "Rock psichedelico",
+  "bus": "Autobus",
+  "train": "Treno",
+  "percussion": "Percussioni",
+  "harpsichord": "Clavicembalo",
+  "snare_drum": "Rullante",
+  "rimshot": "Colpi nei bordi del tamburo",
+  "drum_roll": "Rullo di tamburi",
+  "bass_drum": "Grancassa",
+  "timpani": "Timpano",
+  "progressive_rock": "Rock progressivo",
+  "scratching": "Graffio",
+  "rhythm_and_blues": "Rhythm and Blues",
+  "soul_music": "Musica soul",
+  "reggae": "Reggae",
+  "country": "Country",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Musica folk",
+  "middle_eastern_music": "Musica mediorientale",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Musica classica",
+  "opera": "Opera",
+  "electronic_music": "Musica elettronica",
+  "house_music": "Musica house",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Elettronica",
+  "camera": "Telecamera",
+  "shuffle": "Trascinare i piedi",
+  "biting": "Mordere",
+  "clip_clop": "Trotto di cavallo",
+  "neigh": "Nitrire",
+  "cattle": "Bestiame",
+  "moo": "Muggire",
+  "squawk": "Strillo",
+  "patter": "Ticchettio",
+  "swing_music": "Musica swing",
+  "electronic_dance_music": "Musica dance elettronica",
+  "ambient_music": "Musica ambientale",
+  "trance_music": "Musica trance",
+  "blues": "Blues",
+  "music_for_children": "Musica per bambini",
+  "new-age_music": "Musica new age",
+  "vocal_music": "Musica vocale",
+  "a_capella": "A capella",
+  "music_of_latin_america": "Musica latinoamericana",
+  "music_of_africa": "Musica africana",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Musica cristiana",
+  "gospel_music": "Musica gospel",
+  "music_of_asia": "Musica asiatica",
+  "carnatic_music": "Musica carnatica",
+  "music_of_bollywood": "Musica di Bollywood",
+  "ska": "Ska",
+  "traditional_music": "Musica tradizionale",
+  "independent_music": "Musica indipendente",
+  "background_music": "Musica di sottofondo",
+  "theme_music": "Musica a tema",
+  "jingle": "Motivetto",
+  "soundtrack_music": "Colonna sonora musicale",
+  "lullaby": "Ninna nanna",
+  "video_game_music": "Musica per videogiochi",
+  "christmas_music": "Musica natalizia",
+  "dance_music": "Musica da ballo",
+  "wedding_music": "Musica per matrimoni",
+  "happy_music": "Musica allegra",
+  "sad_music": "Musica triste",
+  "tender_music": "Musica dolce",
+  "salsa_music": "Musica salsa",
+  "flamenco": "Flamenco",
+  "angry_music": "Musica arrabbiata",
+  "scary_music": "Musica spaventosa",
+  "wind": "Vento",
+  "rustling_leaves": "Fruscio di foglie",
+  "wind_noise": "Rumore del vento",
+  "thunderstorm": "Temporale",
+  "water": "Acqua",
+  "rain": "Pioggia",
+  "raindrop": "Goccia di pioggia",
+  "stream": "Ruscello",
+  "waterfall": "Cascata",
+  "ocean": "Oceano",
+  "waves": "Onde",
+  "rain_on_surface": "Pioggia in superficie",
+  "gurgling": "Gorgoglio",
+  "crackle": "Crepitio",
+  "rowboat": "Barca a remi",
+  "motorboat": "Motoscafo",
+  "ship": "Nave",
+  "toot": "Fischio",
+  "motor_vehicle": "Veicolo a motore",
+  "car_alarm": "Allarme auto",
+  "power_windows": "Alzacristalli elettrici",
+  "skidding": "Sbandare",
+  "tire_squeal": "Stridio di pneumatici",
+  "car_passing_by": "Auto che passa",
+  "race_car": "Auto da corsa",
+  "air_brake": "Freno ad aria compressa",
+  "air_horn": "Clacson ad aria",
+  "reversing_beeps": "Bip di retromarcia",
+  "ice_cream_truck": "Camioncino dei gelati",
+  "emergency_vehicle": "Veicolo di emergenza",
+  "police_car": "Auto della polizia",
+  "fire_engine": "Camion dei pompieri",
+  "traffic_noise": "Rumore del traffico",
+  "rail_transport": "Trasporto ferroviario",
+  "train_whistle": "Fischio del treno",
+  "train_horn": "Clacson del treno",
+  "railroad_car": "Vagone ferroviario",
+  "train_wheels_squealing": "Ruote del treno che stridono",
+  "subway": "Metropolitana",
+  "aircraft": "Aeromobile",
+  "aircraft_engine": "Motore aeronautico",
+  "jet_engine": "Motore a reazione",
+  "propeller": "Elica",
+  "fixed-wing_aircraft": "Aeromobile ad ala fissa",
+  "skateboard": "Skateboard",
+  "light_engine": "Motore leggero",
+  "dental_drill's_drill": "Trapano dentale",
+  "lawn_mower": "Taglia erba",
+  "exciting_music": "Musica emozionante",
+  "truck": "Camion",
+  "firecracker": "Petardo",
+  "chainsaw": "Motosega",
+  "medium_engine": "Motore medio",
+  "heavy_engine": "Motore pesante",
+  "engine_knocking": "Battito del motore",
+  "engine_starting": "Avviamento del motore",
+  "idling": "Al minimo",
+  "accelerating": "Accelerando",
+  "door": "Porta",
+  "doorbell": "Campanello",
+  "ding-dong": "Ding Dong",
+  "sliding_door": "Porta scorrevole",
+  "slam": "Sbattere",
+  "knock": "Bussare",
+  "tap": "Tocco",
+  "squeak": "Squittio",
+  "cupboard_open_or_close": "Apertura o chiusura armadio",
+  "drawer_open_or_close": "Apertura o chiusura cassetto",
+  "dishes": "Piatti",
+  "cutlery": "Posate",
+  "chopping": "Tritare",
+  "frying": "Frittura",
+  "microwave_oven": "Forno a microonde",
+  "blender": "Miscelatore",
+  "water_tap": "Rubinetto dell'acqua",
+  "sink": "Lavello",
+  "bathtub": "Vasca",
+  "hair_dryer": "Asciugacapelli",
+  "toilet_flush": "Scarico del water",
+  "toothbrush": "Spazzolino da denti",
+  "electric_toothbrush": "Spazzolino elettrico",
+  "vacuum_cleaner": "Aspirapolvere",
+  "zipper": "Cerniera",
+  "keys_jangling": "Chiavi che tintinnano",
+  "shuffling_cards": "Mescolare le carte",
+  "typing": "Digitazione",
+  "typewriter": "Macchina da scrivere",
+  "computer_keyboard": "Tastiera del computer",
+  "writing": "Scrivere",
+  "alarm": "Allarme",
+  "telephone": "Telefono",
+  "telephone_bell_ringing": "Telefono che squilla",
+  "telephone_dialing": "Composizione telefonica",
+  "dial_tone": "Tono di linea",
+  "busy_signal": "Segnale di occupato",
+  "alarm_clock": "Sveglia",
+  "siren": "Sirena",
+  "civil_defense_siren": "Sirena della Protezione Civile",
+  "buzzer": "Cicalino",
+  "fire_alarm": "Allarme antincendio",
+  "foghorn": "Corno da nebbia",
+  "whistle": "Fischio",
+  "steam_whistle": "Fischio a vapore",
+  "ratchet": "Cricchetto",
+  "tick": "Tic tac",
+  "tick-tock": "Tic-Tac",
+  "pulleys": "Pulegge",
+  "sewing_machine": "Macchina da cucire",
+  "mechanical_fan": "Ventilatore meccanico",
+  "air_conditioning": "Aria condizionata",
+  "cash_register": "Registratore di cassa",
+  "single-lens_reflex_camera": "Fotocamera reflex a obiettivo singolo",
+  "tools": "Utensili",
+  "jackhammer": "Martello pneumatico",
+  "sawing": "Segare",
+  "filing": "Limare",
+  "sanding": "Levigatura",
+  "power_tool": "Utensile elettrico",
+  "drill": "Trapano",
+  "fusillade": "Fucilazione",
+  "machine_gun": "Mitragliatrice",
+  "artillery_fire": "Fuoco di artiglieria",
+  "cap_gun": "Pistola a fumogeni",
+  "fireworks": "Fuochi d'artificio",
+  "burst": "Esplosione",
+  "boom": "Scoppio",
+  "wood": "Legno",
+  "chop": "Taglio",
+  "splinter": "Scheggia",
+  "crack": "Crepa",
+  "glass": "Vetro",
+  "chink": "Fessura",
+  "shatter": "Frantumare",
+  "static": "Statico",
+  "white_noise": "Rumore bianco",
+  "pink_noise": "Rumore rosa",
+  "field_recording": "Registrazione sul campo",
+  "scream": "Grido"
+}
diff --git a/web/public/locales/it/common.json b/web/public/locales/it/common.json
new file mode 100644
index 000000000..9e0cb2e77
--- /dev/null
+++ b/web/public/locales/it/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "last14": "Ultimi 14 giorni",
+    "pm": "pm",
+    "last30": "Ultimi 30 giorni",
+    "untilRestart": "Fino al riavvio",
+    "yesterday": "Ieri",
+    "am": "am",
+    "untilForTime": "Fino alle {{time}}",
+    "minute_one": "{{time}} minuto",
+    "minute_many": "{{time}} minuti",
+    "minute_other": "{{time}} minuti",
+    "5minutes": "5 minuti",
+    "24hours": "24 ore",
+    "second_one": "{{time}} secondo",
+    "second_many": "{{time}} secondi",
+    "second_other": "{{time}} secondi",
+    "untilForRestart": "Fino al riavvio di Frigate.",
+    "ago": "{{timeAgo}} fa",
+    "justNow": "Adesso",
+    "today": "Oggi",
+    "last7": "Ultimi 7 giorni",
+    "thisWeek": "Questa settimana",
+    "lastWeek": "Settimana scorsa",
+    "thisMonth": "Questo mese",
+    "lastMonth": "Mese scorso",
+    "10minutes": "10 minuti",
+    "30minutes": "30 minuti",
+    "1hour": "1 ora",
+    "12hours": "12 ore",
+    "year_one": "{{time}} anno",
+    "year_many": "{{time}} anni",
+    "year_other": "{{time}} anni",
+    "month_one": "{{time}} mese",
+    "month_many": "{{time}} mesi",
+    "month_other": "{{time}} mesi",
+    "day_one": "{{time}} giorno",
+    "day_many": "{{time}} giorni",
+    "day_other": "{{time}} giorni",
+    "hour_one": "{{time}} ora",
+    "hour_many": "{{time}} ore",
+    "hour_other": "{{time}} ore",
+    "yr": "{{time}}anno",
+    "mo": "{{time}}mese",
+    "d": "{{time}}giorno",
+    "h": "{{time}}ora",
+    "m": "{{time}}min",
+    "s": "{{time}}sec",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%b %-d, %I:%M %p",
+      "24hour": "%b %-d, %H:%M"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "%b %-d %Y, %I:%M %p",
+      "24hour": "%b %-d %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "24hour": "MM-dd-yy-HH-mm-ss",
+      "12hour": "MM-dd-yy-h-mm-ss-a"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    }
+  },
+  "button": {
+    "cancel": "Annulla",
+    "yes": "Sì",
+    "unselect": "Deseleziona",
+    "disabled": "Disabilitato",
+    "fullscreen": "A schermo intero",
+    "save": "Salva",
+    "no": "No",
+    "edit": "Modifica",
+    "export": "Esporta",
+    "disable": "Disabilita",
+    "apply": "Applica",
+    "reset": "Reimposta",
+    "done": "Fatto",
+    "enabled": "Abilitato",
+    "enable": "Abilita",
+    "saving": "Salvataggio…",
+    "copy": "Copia",
+    "history": "Storico",
+    "exitFullscreen": "Esci da schermo intero",
+    "on": "ACCESO",
+    "copyCoordinates": "Copia coordinate",
+    "download": "Scarica",
+    "info": "Informazioni",
+    "suspended": "Sospeso",
+    "unsuspended": "Riattiva",
+    "play": "Riproduci",
+    "deleteNow": "Elimina ora",
+    "next": "Successivo",
+    "off": "SPENTO",
+    "delete": "Elimina",
+    "close": "Chiudi",
+    "back": "Indietro",
+    "pictureInPicture": "Immagine nell'immagine",
+    "twoWayTalk": "Comunicazione bidirezionale",
+    "cameraAudio": "Audio della telecamera"
+  },
+  "unit": {
+    "speed": {
+      "kph": "km/h",
+      "mph": "miglia/h"
+    },
+    "length": {
+      "feet": "piedi",
+      "meters": "metri"
+    }
+  },
+  "label": {
+    "back": "Vai indietro"
+  },
+  "menu": {
+    "configuration": "Configurazione",
+    "languages": "Lingue",
+    "appearance": "Aspetto",
+    "systemMetrics": "Metriche di sistema",
+    "systemLogs": "Registri di sistema",
+    "settings": "Impostazioni",
+    "configurationEditor": "Editor di configurazione",
+    "language": {
+      "en": "English (Inglese)",
+      "zhCN": "简体中文 (Cinese semplificato)",
+      "withSystem": {
+        "label": "Usa la lingua di sistema"
+      },
+      "es": "Español (Spagnolo)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Francese)",
+      "ar": "العربية (Arabo)",
+      "pt": "Português (Portoghese)",
+      "ru": "Русский (Russo)",
+      "tr": "Türkçe (Turco)",
+      "nl": "Nederlands (Olandese)",
+      "sv": "Svenska (Svedese)",
+      "cs": "Čeština (Ceco)",
+      "nb": "Norsk Bokmål (Norvegese)",
+      "ko": "한국어 (Coreano)",
+      "vi": "Tiếng Việt (Vietnamita)",
+      "fa": "فارسی (Persiano)",
+      "ro": "Română (Rumeno)",
+      "hu": "Magyar (Ungherese)",
+      "fi": "Suomi (Finlandese)",
+      "da": "Dansk (Danese)",
+      "el": "Ελληνικά (Greco)",
+      "sk": "Slovenčina (Slovacco)",
+      "ja": "日本語 (Giapponese)",
+      "uk": "Українська (Ucraino)",
+      "pl": "Polski (Polacco)",
+      "de": "Deutsch (Tedesco)",
+      "he": "עברית (Ebraico)",
+      "it": "Italiano (Italiano)",
+      "yue": "粵語 (Cantonese)",
+      "th": "ไทย (Tailandese)",
+      "ca": "Català (Catalano)"
+    },
+    "darkMode": {
+      "label": "Modalità scura",
+      "light": "Chiara",
+      "dark": "Scura",
+      "withSystem": {
+        "label": "Usa le impostazioni di sistema per le modalità chiara/scura"
+      }
+    },
+    "system": "Sistema",
+    "theme": {
+      "label": "Tema",
+      "blue": "Blu",
+      "contrast": "Alto contrasto",
+      "green": "Verde",
+      "default": "Predefinito",
+      "red": "Rosso",
+      "nord": "Nord",
+      "highcontrast": "Contrasto elevato"
+    },
+    "live": {
+      "cameras": {
+        "title": "Telecamere",
+        "count_one": "{{count}} Telecamera",
+        "count_many": "{{count}} Telecamere",
+        "count_other": "{{count}} Telecamere"
+      },
+      "title": "Dal vivo",
+      "allCameras": "Tutte le telecamere"
+    },
+    "help": "Aiuto",
+    "documentation": {
+      "title": "Documentazione",
+      "label": "Documentazione di Frigate"
+    },
+    "restart": "Riavvia Frigate",
+    "review": "Rivedi",
+    "explore": "Esplora",
+    "export": "Esporta",
+    "uiPlayground": "Interfaccia area prove",
+    "user": {
+      "account": "Account",
+      "current": "Utente attuale: {{user}}",
+      "anonymous": "anonimo",
+      "logout": "Esci",
+      "title": "Utente",
+      "setPassword": "Imposta password"
+    },
+    "withSystem": "Sistema",
+    "faceLibrary": "Raccolta volti"
+  },
+  "pagination": {
+    "next": {
+      "title": "Successiva",
+      "label": "Vai alla pagina successiva"
+    },
+    "previous": {
+      "label": "Vai alla pagina precedente",
+      "title": "Precedente"
+    },
+    "label": "paginazione",
+    "more": "Altre pagine"
+  },
+  "role": {
+    "title": "Ruolo",
+    "admin": "Amministratore",
+    "viewer": "Spettatore",
+    "desc": "Gli Amministratori hanno accesso completo a tutte le funzionalità dell'interfaccia di Frigate. Gli Spettatori sono limitati alla sola visualizzazione delle telecamere, rivedono gli oggetti e le registrazioni storiche nell'interfaccia utente."
+  },
+  "accessDenied": {
+    "desc": "Non hai i permessi per visualizzare questa pagina.",
+    "documentTitle": "Accesso vietato - Frigate",
+    "title": "Accesso vietato"
+  },
+  "notFound": {
+    "desc": "Pagina non trovata",
+    "documentTitle": "Non trovato - Frigate",
+    "title": "404"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL copiata negli appunti.",
+    "save": {
+      "error": {
+        "title": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}",
+        "noMessage": "Impossibile salvare le modifiche alla configurazione"
+      },
+      "title": "Salva"
+    }
+  },
+  "selectItem": "Seleziona {{item}}"
+}
diff --git a/web/public/locales/it/components/auth.json b/web/public/locales/it/components/auth.json
new file mode 100644
index 000000000..bb6e2200d
--- /dev/null
+++ b/web/public/locales/it/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nome utente",
+    "password": "Password",
+    "login": "Accedi",
+    "errors": {
+      "usernameRequired": "Il nome utente è obbligatorio",
+      "passwordRequired": "La password è obbligatoria",
+      "rateLimit": "Superato il limite di tentativi. Riprova più tardi.",
+      "unknownError": "Errore sconosciuto. Controlla i registri.",
+      "webUnknownError": "Errore sconosciuto. Controlla i registri della console.",
+      "loginFailed": "Accesso non riuscito"
+    }
+  }
+}
diff --git a/web/public/locales/it/components/camera.json b/web/public/locales/it/components/camera.json
new file mode 100644
index 000000000..830cfd0e8
--- /dev/null
+++ b/web/public/locales/it/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Gruppo di telecamere",
+    "add": "Aggiungi gruppo di telecamere",
+    "delete": {
+      "label": "Elimina gruppo di telecamere",
+      "confirm": {
+        "title": "Conferma eliminazione",
+        "desc": "Sei sicuro di voler eliminare il gruppo di telecamere <em>{{name}}</em>?"
+      }
+    },
+    "edit": "Modifica gruppo di telecamere",
+    "name": {
+      "label": "Nome",
+      "placeholder": "Inserisci un nome…",
+      "errorMessage": {
+        "exists": "Il nome scelto per il gruppo telecamere è già presente.",
+        "invalid": "Nome del gruppo di telecamere non valido.",
+        "mustLeastCharacters": "Il nome del gruppo di telecamere deve contenere almeno 2 caratteri.",
+        "nameMustNotPeriod": "Il nome del gruppo di telecamere non deve contenere punti."
+      }
+    },
+    "camera": {
+      "setting": {
+        "label": "Impostazioni di trasmissione della telecamera",
+        "title": "Impostazioni di trasmissione di {{cameraName}}",
+        "audioIsAvailable": "L'audio è disponibile per questo flusso",
+        "streamMethod": {
+          "label": "Metodo di trasmissione",
+          "method": {
+            "smartStreaming": {
+              "label": "Trasmissione intelligente (consigliato)",
+              "desc": "La trasmissione intelligente aggiorna l'immagine della telecamera una volta al minuto quando non si verifica alcuna attività rilevabile, per risparmiare larghezza di banda e risorse. Quando viene rilevata un'attività, l'immagine passa automaticamente alla trasmissione dal vivo."
+            },
+            "continuousStreaming": {
+              "label": "Trasmissione continua",
+              "desc": {
+                "warning": "La trasmissione continua può causare un elevato utilizzo di larghezza di banda e problemi di prestazioni. Da usare con cautela.",
+                "title": "L'immagine della telecamera sarà sempre trasmessa dal vivo quando è visibile sulla schermata, anche se non viene rilevata alcuna attività."
+              }
+            },
+            "noStreaming": {
+              "label": "Nessuna trasmissione",
+              "desc": "Le immagini delle telecamere verranno aggiornate solo una volta al minuto e non verrà effettuata alcuna trasmissione dal vivo."
+            }
+          },
+          "placeholder": "Scegli un metodo di trasmissione"
+        },
+        "compatibilityMode": {
+          "label": "Modalità di compatibilità",
+          "desc": "Abilita questa opzione solo se la trasmissione dal vivo della tua telecamera mostra artefatti cromatici e presenta una linea diagonale sul lato destro dell'immagine."
+        },
+        "audio": {
+          "tips": {
+            "document": "Leggi la documentazione ",
+            "title": "L'audio deve essere trasmesso dalla tua telecamera e configurato in go2rtc per questo flusso."
+          }
+        },
+        "audioIsUnavailable": "L'audio non è disponibile per questo flusso",
+        "desc": "Modifica le opzioni di trasmissione dal vivo per la schermata di questo gruppo di telecamere. <em>Queste impostazioni sono specifiche del dispositivo/browser.</em>",
+        "stream": "Flusso",
+        "placeholder": "Scegli un flusso"
+      }
+    },
+    "cameras": {
+      "desc": "Seleziona le telecamere per questo gruppo.",
+      "label": "Telecamere"
+    },
+    "icon": "Icona",
+    "success": "Il gruppo di telecamere ({{name}}) è stato salvato."
+  },
+  "debug": {
+    "options": {
+      "label": "Impostazioni",
+      "title": "Opzioni",
+      "showOptions": "Mostra opzioni",
+      "hideOptions": "Nascondi opzioni"
+    },
+    "boundingBox": "Riquadro di delimitazione",
+    "timestamp": "Orario",
+    "zones": "Zone",
+    "mask": "Maschera",
+    "motion": "Movimento",
+    "regions": "Regioni"
+  }
+}
diff --git a/web/public/locales/it/components/dialog.json b/web/public/locales/it/components/dialog.json
new file mode 100644
index 000000000..683d4ce2f
--- /dev/null
+++ b/web/public/locales/it/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "title": "Sei sicuro di voler riavviare Frigate?",
+    "button": "Riavvia",
+    "restarting": {
+      "title": "Frigate si sta riavviando",
+      "content": "Questa pagina si ricaricherà in {{countdown}} secondi.",
+      "button": "Forza ricarica ora"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Invia a Frigate+",
+        "desc": "Gli oggetti in posizioni che si desidera evitare non sono falsi positivi. Inviarli come falsi positivi confonderà il modello."
+      },
+      "review": {
+        "false": {
+          "label": "Non confermare questa etichetta per Frigate Plus",
+          "false_one": "Questo non è un {{label}}",
+          "false_many": "Questi non sono un {{label}}",
+          "false_other": "Questi non sono un {{label}}"
+        },
+        "true": {
+          "label": "Conferma questa etichetta per Frigate Plus",
+          "true_one": "Questo è un {{label}}",
+          "true_many": "Questi sono {{label}}",
+          "true_other": "Questi sono {{label}}"
+        },
+        "state": {
+          "submitted": "Inviato"
+        },
+        "question": {
+          "label": "Conferma questa etichetta per Frigate Plus",
+          "ask_a": "Questo oggetto è un <code>{{label}}</code>?",
+          "ask_an": "Questo oggetto è un <code>{{label}}</code>?",
+          "ask_full": "Questo oggetto è un <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Visualizza in Storico"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Seleziona dalla cronologia",
+      "custom": "Personalizzato",
+      "start": {
+        "title": "Ora di inizio",
+        "label": "Seleziona l'ora di inizio"
+      },
+      "end": {
+        "title": "Ora di fine",
+        "label": "Seleziona l'ora di fine"
+      },
+      "lastHour_one": "Ultima ora",
+      "lastHour_many": "Ultime {{count}} ore",
+      "lastHour_other": "Ultime {{count}} ore"
+    },
+    "export": "Esporta",
+    "selectOrExport": "Seleziona o esporta",
+    "toast": {
+      "success": "Esportazione avviata correttamente. Visualizza il file nella cartella /exports.",
+      "error": {
+        "failed": "Impossibile avviare l'esportazione: {{error}}",
+        "endTimeMustAfterStartTime": "L'ora di fine deve essere successiva all'ora di inizio",
+        "noVaildTimeSelected": "Nessun intervallo di tempo valido selezionato"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Salva esportazione",
+      "previewExport": "Anteprima esportazione"
+    },
+    "select": "Seleziona",
+    "name": {
+      "placeholder": "Assegna un nome all'esportazione"
+    }
+  },
+  "streaming": {
+    "label": "Trasmissione",
+    "showStats": {
+      "label": "Mostra statistiche di trasmissione",
+      "desc": "Abilita questa opzione per visualizzare le statistiche della trasmissione come sovrapposizione sul flusso della telecamera."
+    },
+    "debugView": "Vista correzioni",
+    "restreaming": {
+      "disabled": "La ritrasmissione non è abilitata per questa telecamera.",
+      "desc": {
+        "title": "Imposta go2rtc per opzioni aggiuntive di visualizzazione dal vivo e audio per questa telecamera.",
+        "readTheDocumentation": "Leggi la documentazione"
+      }
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Salva ricerca",
+      "overwrite": "{{searchName}} esiste già. Il salvataggio sovrascriverà il valore esistente.",
+      "desc": "Specifica un nome per questa ricerca salvata.",
+      "button": {
+        "save": {
+          "label": "Salva questa ricerca"
+        }
+      },
+      "placeholder": "Inserisci un nome per la tua ricerca",
+      "success": "La ricerca ({{searchName}}) è stata salvata."
+    }
+  },
+  "recording": {
+    "button": {
+      "export": "Esporta",
+      "markAsReviewed": "Segna come visto",
+      "deleteNow": "Elimina ora"
+    },
+    "confirmDelete": {
+      "desc": {
+        "selected": "Vuoi davvero eliminare tutti i video registrati associati a questo elemento di visto?<br /><br />Tieni premuto il tasto <em>Maiusc</em> per ignorare questa finestra di dialogo in futuro."
+      },
+      "title": "Conferma eliminazione",
+      "toast": {
+        "success": "Il filmato associato agli elementi di recensione selezionati è stato eliminato correttamente.",
+        "error": "Impossibile eliminare: {{error}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/it/components/filter.json b/web/public/locales/it/components/filter.json
new file mode 100644
index 000000000..dd6ebc1b7
--- /dev/null
+++ b/web/public/locales/it/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filtro",
+  "labels": {
+    "label": "Etichette",
+    "all": {
+      "title": "Tutte le etichette",
+      "short": "Etichette"
+    },
+    "count_one": "{{count}} Etichetta",
+    "count_other": "{{count}} Etichette"
+  },
+  "more": "Altri filtri",
+  "zones": {
+    "label": "Zone",
+    "all": {
+      "title": "Tutte le zone",
+      "short": "Zone"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Tutte le date",
+      "short": "Date"
+    },
+    "selectPreset": "Seleziona una preimpostazione…"
+  },
+  "reset": {
+    "label": "Ripristina i filtri ai valori predefiniti"
+  },
+  "features": {
+    "submittedToFrigatePlus": {
+      "label": "Inviato a Frigate+",
+      "tips": "Devi prima filtrare gli oggetti tracciati che hanno un'istantanea.<br /><br />Gli oggetti tracciati senza istantanee non possono essere inviati a Frigate+."
+    },
+    "hasSnapshot": "Contiene una istantanea",
+    "hasVideoClip": "Contiene un filmato video",
+    "label": "Caratteristiche"
+  },
+  "sort": {
+    "dateAsc": "Data (crescente)",
+    "scoreAsc": "Punteggio dell'oggetto (crescente)",
+    "dateDesc": "Data (discendente)",
+    "speedAsc": "Velocità stimata (crescente)",
+    "speedDesc": "Velocità stimata (discendente)",
+    "relevance": "Rilevanza",
+    "label": "Ordina",
+    "scoreDesc": "Punteggio dell'oggetto (discrescente)"
+  },
+  "explore": {
+    "settings": {
+      "title": "Impostazioni",
+      "gridColumns": {
+        "desc": "Seleziona il numero di colonne nella vista griglia.",
+        "title": "Colonne della griglia"
+      },
+      "defaultView": {
+        "title": "Vista predefinita",
+        "desc": "Se non è selezionato alcun filtro, visualizza un riepilogo degli oggetti tracciati più di recente per etichetta oppure visualizza una griglia non filtrata.",
+        "summary": "Riepilogo",
+        "unfilteredGrid": "Griglia non filtrata"
+      },
+      "searchSource": {
+        "label": "Cerca la fonte",
+        "desc": "Scegli se cercare nelle miniature o nelle descrizioni degli oggetti tracciati.",
+        "options": {
+          "thumbnailImage": "Immagine anteprima",
+          "description": "Descrizione"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Seleziona una data da filtrare"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtra livello di registro",
+    "loading": {
+      "title": "Caricamento",
+      "desc": "Scorrendo il riquadro dei registri fino in fondo, i nuovi registri vengono automaticamente visualizzati non appena vengono aggiunti."
+    },
+    "filterBySeverity": "Filtra i registri per gravità",
+    "disableLogStreaming": "Disabilita la trasmissione del registro",
+    "allLogs": "Tutti i registri"
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "Oggetti tracciati eliminati correttamente.",
+      "error": "Impossibile eliminare gli oggetti tracciati: {{errorMessage}}"
+    },
+    "desc": "L'eliminazione di questi {{objectLength}} oggetti tracciati rimuove l'istantanea, eventuali incorporamenti salvati e tutte le voci associate al ciclo di vita dell'oggetto. Il filmato registrato di questi oggetti tracciati nella vista Storico <em>NON</em> verrà eliminato.<br /><br />Vuoi procedere?<br /><br />Tieni premuto il tasto <em>Maiusc</em> per ignorare questa finestra di dialogo in futuro.",
+    "title": "Conferma eliminazione"
+  },
+  "recognizedLicensePlates": {
+    "title": "Targhe riconosciute",
+    "selectPlatesFromList": "Seleziona una o più targhe dall'elenco.",
+    "loadFailed": "Impossibile caricare le targhe riconosciute.",
+    "loading": "Caricamento targhe riconosciute…",
+    "placeholder": "Digita per cercare le targhe…",
+    "noLicensePlatesFound": "Nessuna targa trovata."
+  },
+  "timeRange": "Intervallo di tempo",
+  "subLabels": {
+    "label": "Sottoetichette",
+    "all": "Tutte le sottoetichette"
+  },
+  "score": "Punteggio",
+  "estimatedSpeed": "Velocità stimata ({{unit}})",
+  "cameras": {
+    "label": "Filtro telecamere",
+    "all": {
+      "title": "Tutte le telecamere",
+      "short": "Telecamere"
+    }
+  },
+  "review": {
+    "showReviewed": "Mostra visti"
+  },
+  "motion": {
+    "showMotionOnly": "Mostra solo movimento"
+  },
+  "zoneMask": {
+    "filterBy": "Filtra per maschera di zona"
+  }
+}
diff --git a/web/public/locales/it/components/icons.json b/web/public/locales/it/components/icons.json
new file mode 100644
index 000000000..18778862b
--- /dev/null
+++ b/web/public/locales/it/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "Cerca un'icona…"
+    },
+    "selectIcon": "Seleziona un'icona"
+  }
+}
diff --git a/web/public/locales/it/components/input.json b/web/public/locales/it/components/input.json
new file mode 100644
index 000000000..fdd42a76b
--- /dev/null
+++ b/web/public/locales/it/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "toast": {
+        "success": "Il video dell'oggetto da te visto ha iniziato a scaricarsi."
+      },
+      "label": "Scarica video"
+    }
+  }
+}
diff --git a/web/public/locales/it/components/player.json b/web/public/locales/it/components/player.json
new file mode 100644
index 000000000..2aee1a781
--- /dev/null
+++ b/web/public/locales/it/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFound": "Nessuna anteprima trovata",
+  "noRecordingsFoundForThisTime": "Nessuna registrazione trovata per questo intervallo",
+  "noPreviewFoundFor": "Nessuna anteprima trovata per {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Vuoi inviare questo fotogramma a Frigate+?",
+    "submit": "Invia"
+  },
+  "livePlayerRequiredIOSVersion": "Per questo tipo di trasmissione dal vivo è richiesto iOS 17.1 o versione successiva.",
+  "stats": {
+    "streamType": {
+      "short": "Tipo",
+      "title": "Tipo di trasmissione:"
+    },
+    "bandwidth": {
+      "title": "Larghezza di banda:",
+      "short": "Larghezza di banda"
+    },
+    "latency": {
+      "title": "Latenza:",
+      "value": "{{seconds}} secondi",
+      "short": {
+        "title": "Latenza",
+        "value": "{{seconds}} sec"
+      }
+    },
+    "droppedFrames": {
+      "title": "Fotogrammi persi:",
+      "short": {
+        "title": "Persi",
+        "value": "{{droppedFrames}} fotogrammi"
+      }
+    },
+    "decodedFrames": "Fotogrammi decodificati:",
+    "totalFrames": "Totale fotogrammi:",
+    "droppedFrameRate": "Percentuali fotogrammi persi:"
+  },
+  "streamOffline": {
+    "desc": "Nessun fotogramma ricevuto sul flusso <code>detect</code> di {{cameraName}}, controlla i registri degli errori",
+    "title": "Trasmissione disconnessa"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Fotogramma inviato correttamente a Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Impossibile inviare il fotogramma a Frigate+"
+    }
+  },
+  "cameraDisabled": "La telecamera è disattivata"
+}
diff --git a/web/public/locales/it/objects.json b/web/public/locales/it/objects.json
new file mode 100644
index 000000000..a512b0021
--- /dev/null
+++ b/web/public/locales/it/objects.json
@@ -0,0 +1,120 @@
+{
+  "bird": "Uccello",
+  "clock": "Orologio",
+  "scissors": "Forbici",
+  "vehicle": "Veicolo",
+  "cat": "Gatto",
+  "boat": "Barca",
+  "horse": "Cavallo",
+  "bicycle": "Bicicletta",
+  "person": "Persona",
+  "car": "Automobile",
+  "motorcycle": "Motociclo",
+  "dog": "Cane",
+  "bark": "Abbaio",
+  "animal": "Animale",
+  "sheep": "Pecora",
+  "mouse": "Mouse",
+  "bear": "Orso",
+  "elephant": "Elefante",
+  "zebra": "Zebra",
+  "giraffe": "Giraffa",
+  "hat": "Cappello",
+  "umbrella": "Ombrello",
+  "train": "Treno",
+  "backpack": "Zaino",
+  "cow": "Mucca",
+  "airplane": "Aereo",
+  "bus": "Autobus",
+  "shoe": "Scarpa",
+  "skateboard": "Skateboard",
+  "kite": "Aquilone",
+  "oven": "Forno",
+  "sink": "Lavello",
+  "stop_sign": "Segnale di stop",
+  "raccoon": "Procione",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "book": "Libro",
+  "frisbee": "Frisbee",
+  "laptop": "Portatile",
+  "knife": "Coltello",
+  "spoon": "Cucchiaio",
+  "bowl": "Ciotola",
+  "dhl": "DHL",
+  "banana": "Banana",
+  "carrot": "Carota",
+  "dining_table": "Tavolo da pranzo",
+  "hot_dog": "Hot Dog",
+  "mirror": "Specchio",
+  "microwave": "Microonde",
+  "toaster": "Tostapane",
+  "teddy_bear": "Orsacchiotto di peluche",
+  "hair_brush": "Spazzola per capelli",
+  "squirrel": "Scoiattolo",
+  "deer": "Cervo",
+  "robot_lawnmower": "Robot tagliaerba",
+  "waste_bin": "Cestino",
+  "on_demand": "Su richiesta",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "postnord": "PostNord",
+  "traffic_light": "Semaforo",
+  "fire_hydrant": "Idrante antincendio",
+  "street_sign": "Cartello stradale",
+  "parking_meter": "Parchimetro",
+  "bench": "Panca",
+  "eye_glasses": "Occhiali da vista",
+  "handbag": "Borsa a mano",
+  "tie": "Cravatta",
+  "suitcase": "Valigia",
+  "skis": "Sci",
+  "snowboard": "Snowboard",
+  "sports_ball": "Palla sportiva",
+  "baseball_bat": "Mazza da baseball",
+  "baseball_glove": "Guanto da baseball",
+  "surfboard": "Tavola da surf",
+  "tennis_racket": "Racchetta da tennis",
+  "bottle": "Bottiglia",
+  "plate": "Piatto",
+  "wine_glass": "Bicchiere da vino",
+  "cup": "Tazza",
+  "fork": "Forchetta",
+  "apple": "Mela",
+  "sandwich": "Panino",
+  "orange": "Arancia",
+  "broccoli": "Broccoli",
+  "pizza": "Pizza",
+  "donut": "Ciambella",
+  "cake": "Torta",
+  "chair": "Sedia",
+  "couch": "Divano",
+  "door": "Porta",
+  "keyboard": "Tastiera",
+  "potted_plant": "Pianta in vaso",
+  "bed": "Letto",
+  "window": "Finestra",
+  "desk": "Scrivania",
+  "toilet": "Toilette",
+  "tv": "Televisione",
+  "remote": "Telecomando",
+  "cell_phone": "Telefono cellulare",
+  "blender": "Miscelatore",
+  "refrigerator": "Frigorifero",
+  "hair_dryer": "Asciugacapelli",
+  "toothbrush": "Spazzolino da denti",
+  "vase": "Vaso",
+  "fox": "Volpe",
+  "goat": "Capra",
+  "rabbit": "Coniglio",
+  "face": "Viso",
+  "license_plate": "Targa",
+  "package": "Pacchetto",
+  "bbq_grill": "Griglia per barbecue",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/it/views/configEditor.json b/web/public/locales/it/views/configEditor.json
new file mode 100644
index 000000000..4ce1a7378
--- /dev/null
+++ b/web/public/locales/it/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Editor di configurazione",
+  "documentTitle": "Editor di configurazione - Frigate",
+  "copyConfig": "Copia configurazione",
+  "saveAndRestart": "Salva e riavvia",
+  "saveOnly": "Salva soltanto",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configurazione copiata negli appunti."
+    },
+    "error": {
+      "savingError": "Errore durante il salvataggio della configurazione"
+    }
+  },
+  "confirm": "Vuoi uscire senza salvare?"
+}
diff --git a/web/public/locales/it/views/events.json b/web/public/locales/it/views/events.json
new file mode 100644
index 000000000..e07c7bc6a
--- /dev/null
+++ b/web/public/locales/it/views/events.json
@@ -0,0 +1,39 @@
+{
+  "alerts": "Avvisi",
+  "detections": "Rilevamento",
+  "motion": {
+    "label": "Movimento",
+    "only": "Solo movimento"
+  },
+  "empty": {
+    "alert": "Non ci sono avvisi da rivedere",
+    "detection": "Non ci sono rilevamenti da rivedere",
+    "motion": "Nessun dato di movimento trovato"
+  },
+  "newReviewItems": {
+    "label": "Visualizza i nuovi elementi da rivedere",
+    "button": "Nuovi elementi da rivedere"
+  },
+  "markTheseItemsAsReviewed": "Segna questi elementi come visti",
+  "markAsReviewed": "Segna come visto",
+  "documentTitle": "Rivedi - Frigate",
+  "allCameras": "Tutte le camere",
+  "timeline": "Cronologia",
+  "timeline.aria": "Seleziona la cronologia",
+  "events": {
+    "label": "Eventi",
+    "aria": "Seleziona eventi",
+    "noFoundForTimePeriod": "Nessun evento trovato per questo intervallo."
+  },
+  "recordings": {
+    "documentTitle": "Registrazioni - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Ultime 24 ore"
+  },
+  "camera": "Telecamera",
+  "selected": "{{count}} selezionati",
+  "selected_one": "{{count}} selezionati",
+  "selected_other": "{{count}} selezionati",
+  "detected": "rilevato"
+}
diff --git a/web/public/locales/it/views/explore.json b/web/public/locales/it/views/explore.json
new file mode 100644
index 000000000..547c6ad0a
--- /dev/null
+++ b/web/public/locales/it/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "IA Generativa",
+  "documentTitle": "Esplora - Frigate",
+  "exploreIsUnavailable": {
+    "title": "Esplora non è disponibile",
+    "embeddingsReindexing": {
+      "context": "Potrai usare Esplora dopo che l'incorporamento degli oggetti tracciati avrà terminato la ricostruzione dell'indice.",
+      "step": {
+        "descriptionsEmbedded": "Descrizioni incorporate: ",
+        "thumbnailsEmbedded": "Miniature incorporate: ",
+        "trackedObjectsProcessed": "Oggetti tracciati elaborati: "
+      },
+      "startingUp": "Avvio…",
+      "estimatedTime": "Tempo rimanente stimato:",
+      "finishingShortly": "Completamento a breve"
+    },
+    "downloadingModels": {
+      "setup": {
+        "textModel": "Modello di testo",
+        "visionModel": "Modello di visione",
+        "visionModelFeatureExtractor": "Estrattore di funzionalità del modello di visione",
+        "textTokenizer": "Tokenizzatore di testo"
+      },
+      "tips": {
+        "documentation": "Leggi la documentazione",
+        "context": "Una volta scaricati i modelli, potrebbe essere necessario reindicizzare gli incorporamenti degli oggetti tracciati."
+      },
+      "error": "Si è verificato un errore. Controlla i registri di Frigate.",
+      "context": "Frigate sta scaricando i modelli di incorporamento necessari per supportare la funzione di Ricerca Semantica. L'operazione potrebbe richiedere diversi minuti, a seconda della velocità della connessione di rete."
+    }
+  },
+  "details": {
+    "timestamp": "Orario",
+    "snapshotScore": {
+      "label": "Punteggio istantanea"
+    },
+    "regenerateFromSnapshot": "Rigenera da istantanea",
+    "item": {
+      "tips": {
+        "mismatch_one": "E' stato rilevato {{count}} oggetto non disponibile e incluse in questo elemento visto. Tale oggetto non è stato classificato come avviso o rilevamento oppure è già stato ripulito/eliminato.",
+        "mismatch_many": "Sono stati rilevati {{count}} oggetti non disponibili e inclusi in questo elemento visto. Tali oggetti non sono stati classificati come avvisi o rilevamenti oppure sono già stati ripuliti/eliminati.",
+        "mismatch_other": "Sono stati rilevati {{count}} oggetti non disponibili e inclusi in questo elemento visto. Tali oggetti non sono stati classificati come avvisi o rilevamenti oppure sono già stati ripuliti/eliminati.",
+        "hasMissingObjects": "Modifica la configurazione se vuoi che Frigate salvi gli oggetti tracciati per le seguenti etichette: <em>{{objects}}</em>"
+      },
+      "title": "Dettagli dell'elemento visto",
+      "desc": "Dettagli dell'elemento visto",
+      "button": {
+        "share": "Condividi questo elemento visto",
+        "viewInExplore": "Visualizza in Esplora"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "È stata richiesta una nuova descrizione a {{provider}}. A seconda della velocità del tuo provider, la rigenerazione della nuova descrizione potrebbe richiedere del tempo.",
+          "updatedSublabel": "Sottoetichetta aggiornata correttamente.",
+          "updatedLPR": "Targa aggiornata con successo."
+        },
+        "error": {
+          "regenerate": "Impossibile chiamare {{provider}} per una nuova descrizione: {{errorMessage}}",
+          "updatedSublabelFailed": "Impossibile aggiornare la sottoetichetta: {{errorMessage}}",
+          "updatedLPRFailed": "Impossibile aggiornare la targa: {{errorMessage}}"
+        }
+      }
+    },
+    "zones": "Zone",
+    "description": {
+      "label": "Descrizione",
+      "placeholder": "Descrizione dell'oggetto tracciato",
+      "aiTips": "Frigate non richiederà una descrizione al tuo fornitore di Intelligenza Artificiale Generativa finché non sarà terminato il ciclo di vita dell'oggetto tracciato."
+    },
+    "label": "Etichetta",
+    "editSubLabel": {
+      "title": "Modifica sottoetichetta",
+      "desc": "Inserisci una nuova sottoetichetta per questa {{label}}",
+      "descNoLabel": "Inserisci una nuova sottoetichetta per questo oggetto tracciato"
+    },
+    "editLPR": {
+      "title": "Modifica targa",
+      "desc": "Inserisci un nuovo valore della targa per questa {{label}}",
+      "descNoLabel": "Inserisci un nuovo valore di targa per questo oggetto tracciato"
+    },
+    "topScore": {
+      "label": "Punteggio massimo",
+      "info": "Il punteggio massimo è il punteggio mediano più alto per l'oggetto tracciato, quindi potrebbe differire dal punteggio mostrato nella miniatura del risultato della ricerca."
+    },
+    "recognizedLicensePlate": "Targa riconosciuta",
+    "estimatedSpeed": "Velocità stimata",
+    "objects": "Oggetti",
+    "camera": "Telecamera",
+    "button": {
+      "findSimilar": "Trova simili",
+      "regenerate": {
+        "title": "Rigenera",
+        "label": "Rigenera la descrizione dell'oggetto tracciato"
+      }
+    },
+    "expandRegenerationMenu": "Espandi il menu di rigenerazione",
+    "regenerateFromThumbnails": "Rigenera dalle miniature",
+    "tips": {
+      "descriptionSaved": "Descrizione salvata correttamente",
+      "saveDescriptionFailed": "Impossibile aggiornare la descrizione: {{errorMessage}}"
+    }
+  },
+  "objectLifecycle": {
+    "annotationSettings": {
+      "offset": {
+        "tips": "SUGGERIMENTO: immagina un filmato evento con una persona che cammina da sinistra verso destra. Se il riquadro di delimitazione della cronologia dell'evento si trova costantemente a sinistra della persona, il valore dovrebbe essere diminuito. Analogamente, se una persona cammina da sinistra verso destra e il riquadro di delimitazione si trova costantemente davanti alla persona, il valore dovrebbe essere aumentato.",
+        "desc": "Questi dati provengono dal flusso di rilevamento della telecamera, ma vengono sovrapposti alle immagini del flusso di registrazione. È improbabile che i due flussi siano perfettamente sincronizzati. Di conseguenza, il riquadro di delimitazione e il filmato non saranno perfettamente allineati. Tuttavia, è possibile utilizzare il campo <code>annotation_offset</code> per correggere questo problema.",
+        "label": "Compensazione di annotazione",
+        "documentation": "Leggi la documentazione ",
+        "millisecondsToOffset": "Millisecondi per compensare il rilevamento delle annotazioni. <em>Predefinito: 0</em>",
+        "toast": {
+          "success": "La compensazione di annotazione per {{camera}} è stato salvato nel file di configurazione. Riavvia Frigate per applicare le modifiche."
+        }
+      },
+      "showAllZones": {
+        "title": "Mostra tutte le zone",
+        "desc": "Mostra sempre le zone nei fotogrammi in cui gli oggetti sono entrati in una zona."
+      },
+      "title": "Impostazioni di annotazione"
+    },
+    "lifecycleItemDesc": {
+      "heard": "{{label}} sentito",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} rilevato per {{label}}",
+        "other": "{{label}} riconosciuto come {{attribute}}"
+      },
+      "gone": "{{label}} lasciato",
+      "external": "{{label}} rilevato",
+      "visible": "{{label}} rilevato",
+      "entered_zone": "{{label}} è entrato in {{zones}}",
+      "active": "{{label}} è diventato attivo",
+      "stationary": "{{label}} è diventato stazionario",
+      "header": {
+        "ratio": "Rapporto",
+        "area": "Area",
+        "zones": "Zone"
+      }
+    },
+    "title": "Ciclo di vita dell'oggetto",
+    "createObjectMask": "Crea maschera oggetto",
+    "noImageFound": "Nessuna immagine trovata per questo orario.",
+    "adjustAnnotationSettings": "Regola le impostazioni di annotazione",
+    "scrollViewTips": "Scorri per visualizzare i momenti più significativi del ciclo di vita di questo oggetto.",
+    "autoTrackingTips": "Le posizioni dei riquadri di delimitazione non saranno precise per le telecamere con tracciamento automatico.",
+    "carousel": {
+      "previous": "Diapositiva precedente",
+      "next": "Diapositiva successiva"
+    },
+    "count": "{{first}} di {{second}}",
+    "trackedPoint": "Punto tracciato"
+  },
+  "type": {
+    "snapshot": "istantanea",
+    "object_lifecycle": "ciclo di vita dell'oggetto",
+    "details": "dettagli",
+    "video": "video"
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "label": "Scarica istantanea",
+      "aria": "Scarica istantanea"
+    },
+    "viewInHistory": {
+      "label": "Visualizza in Storico",
+      "aria": "Visualizza in Storico"
+    },
+    "deleteTrackedObject": {
+      "label": "Elimina questo oggetto tracciato"
+    },
+    "downloadVideo": {
+      "label": "Scarica video",
+      "aria": "Scarica video"
+    },
+    "viewObjectLifecycle": {
+      "label": "Visualizza il ciclo di vita dell'oggetto",
+      "aria": "Mostra il ciclo di vita dell'oggetto"
+    },
+    "findSimilar": {
+      "label": "Trova simili",
+      "aria": "Trova oggetti tracciati simili"
+    },
+    "submitToPlus": {
+      "label": "Invia a Frigate+",
+      "aria": "Invia a Frigate Plus"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "desc": "L'eliminazione di questo oggetto tracciato rimuove l'istantanea, eventuali incorporamenti salvati e tutte le voci associate al ciclo di vita dell'oggetto. Il filmato registrato di questo oggetto tracciato nella vista Storico <em>NON</em> verrà eliminato.<br /><br />Vuoi davvero procedere?",
+      "title": "Conferma eliminazione"
+    }
+  },
+  "trackedObjectDetails": "Dettagli dell'oggetto tracciato",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Impossibile eliminare l'oggetto tracciato: {{errorMessage}}",
+        "success": "Oggetto tracciato eliminato correttamente."
+      }
+    },
+    "tooltip": "Corrispondenza {{type}} al {{confidence}}%"
+  },
+  "trackedObjectsCount_one": "{{count}} oggetto tracciato ",
+  "trackedObjectsCount_many": "{{count}} oggetti tracciati ",
+  "trackedObjectsCount_other": "{{count}} oggetti tracciati ",
+  "fetchingTrackedObjectsFailed": "Errore durante il recupero degli oggetti tracciati: {{errorMessage}}",
+  "noTrackedObjects": "Nessun oggetto tracciato trovato",
+  "exploreMore": "Esplora altri oggetti {{label}}"
+}
diff --git a/web/public/locales/it/views/exports.json b/web/public/locales/it/views/exports.json
new file mode 100644
index 000000000..0c42816ef
--- /dev/null
+++ b/web/public/locales/it/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Esporta - Frigate",
+  "search": "Cerca",
+  "noExports": "Nessuna esportazione trovata",
+  "deleteExport": "Elimina esportazione",
+  "deleteExport.desc": "Sei sicuro di voler eliminare {{exportName}}?",
+  "editExport": {
+    "desc": "Inserisci un nuovo nome per questa esportazione.",
+    "title": "Rinomina esportazione",
+    "saveExport": "Salva esportazione"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Impossibile rinominare l'esportazione: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/it/views/faceLibrary.json b/web/public/locales/it/views/faceLibrary.json
new file mode 100644
index 000000000..54fe6adb0
--- /dev/null
+++ b/web/public/locales/it/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "selectItem": "Seleziona {{item}}",
+  "description": {
+    "addFace": "Procedura per aggiungere una nuova raccolta alla Libreria dei Volti.",
+    "placeholder": "Inserisci un nome per questa raccolta",
+    "invalidName": "Nome non valido. I nomi possono contenere solo lettere, numeri, spazi, apostrofi, caratteri di sottolineatura e trattini."
+  },
+  "details": {
+    "confidence": "Fiducia",
+    "person": "Persona",
+    "face": "Dettagli del volto",
+    "faceDesc": "Dettagli dell'oggetto tracciato che ha generato questo volto",
+    "timestamp": "Orario",
+    "subLabelScore": "Punteggio dell'etichetta secondaria",
+    "scoreInfo": "Il punteggio dell'etichetta secondaria è il punteggio ponderato per tutte le confidenze dei volti riconosciuti, quindi potrebbe differire dal punteggio mostrato nell'istantanea.",
+    "unknown": "Sconosciuto"
+  },
+  "train": {
+    "title": "Addestra",
+    "aria": "Seleziona addestramento",
+    "empty": "Non ci sono recenti tentativi di riconoscimento facciale"
+  },
+  "button": {
+    "addFace": "Aggiungi volto",
+    "deleteFaceAttempts": "Elimina volti",
+    "uploadImage": "Carica immagine",
+    "reprocessFace": "Rielabora il volto",
+    "deleteFace": "Elimina volto",
+    "renameFace": "Rinomina volto"
+  },
+  "trainFace": "Addestra il volto",
+  "toast": {
+    "success": {
+      "deletedName_one": "{{count}} volto è stato eliminato con successo.",
+      "deletedName_many": "{{count}} volti sono stati eliminati con successo.",
+      "deletedName_other": "{{count}} volti sono stati eliminati con successo.",
+      "trainedFace": "Volto addestrato con successo.",
+      "deletedFace_one": "Eliminato con successo {{count}} volto.",
+      "deletedFace_many": "Eliminati con successo {{count}} volti.",
+      "deletedFace_other": "Eliminati con successo {{count}} volti.",
+      "updatedFaceScore": "Punteggio del volto aggiornato con successo.",
+      "uploadedImage": "Immagine caricata correttamente.",
+      "addFaceLibrary": "{{name}} è stato aggiunto con successo alla Libreria dei Volti!",
+      "renamedFace": "Rinominato correttamente il volto in {{name}}"
+    },
+    "error": {
+      "addFaceLibraryFailed": "Impossibile impostare il nome del volto: {{errorMessage}}",
+      "uploadingImageFailed": "Impossibile caricare l'immagine: {{errorMessage}}",
+      "deleteFaceFailed": "Impossibile eliminare: {{errorMessage}}",
+      "trainFailed": "Impossibile addestrare: {{errorMessage}}",
+      "updateFaceScoreFailed": "Impossibile aggiornare il punteggio del volto: {{errorMessage}}",
+      "deleteNameFailed": "Impossibile eliminare il nome: {{errorMessage}}",
+      "renameFaceFailed": "Impossibile rinominare il volto: {{errorMessage}}"
+    }
+  },
+  "imageEntry": {
+    "dropActive": "Rilascia l'immagine qui…",
+    "dropInstructions": "Trascina e rilascia un'immagine qui oppure fai clic per selezionarla",
+    "maxSize": "Dimensione massima: {{size}} MB",
+    "validation": {
+      "selectImage": "Seleziona un file immagine."
+    }
+  },
+  "createFaceLibrary": {
+    "title": "Crea raccolta",
+    "nextSteps": "Per costruire una base solida:<li>Usa la scheda Addestra per selezionare e addestrare le immagini per ogni persona rilevata.</li><li>Concentrati sulle immagini dritte per ottenere risultati migliori; evita di addestrare immagini che catturano i volti da un'angolazione.</li></ul>",
+    "desc": "Crea una nuova raccolta",
+    "new": "Crea nuovo volto"
+  },
+  "readTheDocs": "Leggi la documentazione",
+  "selectFace": "Seleziona volto",
+  "documentTitle": "Libreria dei Volti - Frigate",
+  "uploadFaceImage": {
+    "desc": "Carica un'immagine per scansionare i volti e includerla in {{pageToggle}}",
+    "title": "Carica l'immagine del volto"
+  },
+  "deleteFaceLibrary": {
+    "title": "Elimina nome",
+    "desc": "Vuoi davvero eliminare la raccolta {{name}}? Questa operazione eliminerà definitivamente tutti i volti associati."
+  },
+  "trainFaceAs": "Addestra il volto come:",
+  "steps": {
+    "faceName": "Inserisci il nome del volto",
+    "nextSteps": "Prossimi passi",
+    "uploadFace": "Carica l'immagine del volto",
+    "description": {
+      "uploadFace": "Carica un'immagine di {{name}} che mostri il suo viso da un'angolazione frontale. Non è necessario ritagliare l'immagine in modo da mostrare solo il viso."
+    }
+  },
+  "renameFace": {
+    "title": "Rinomina volto",
+    "desc": "Inserisci un nuovo nome per {{name}}"
+  },
+  "collections": "Collezioni",
+  "deleteFaceAttempts": {
+    "title": "Elimina volti",
+    "desc_one": "Vuoi davvero eliminare {{count}} volto? Questa azione non può essere annullata.",
+    "desc_many": "Vuoi davvero eliminare {{count}} volti? Questa azione non può essere annullata.",
+    "desc_other": "Vuoi davvero eliminare {{count}} volti? Questa azione non può essere annullata."
+  },
+  "nofaces": "Nessun volto disponibile",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/it/views/live.json b/web/public/locales/it/views/live.json
new file mode 100644
index 000000000..b8a44ae27
--- /dev/null
+++ b/web/public/locales/it/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Dal vivo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Dal vivo - Frigate",
+  "lowBandwidthMode": "Modalità a bassa larghezza di banda",
+  "twoWayTalk": {
+    "enable": "Abilita audio bidirezionale",
+    "disable": "Disabilita audio bidirezionale"
+  },
+  "snapshots": {
+    "enable": "Abilita istantanee",
+    "disable": "Disabilita istantanee"
+  },
+  "manualRecording": {
+    "recordDisabledTips": "Poiché la registrazione è disabilitata o limitata nella configurazione di questa telecamera, verrà salvata solo un'istantanea.",
+    "title": "Registrazione su richiesta",
+    "tips": "Avvia un evento manuale in base alle impostazioni di conservazione della registrazione di questa telecamera.",
+    "playInBackground": {
+      "label": "Riproduci in sottofondo",
+      "desc": "Abilita questa opzione per continuare la trasmissione quando il lettore è nascosto."
+    },
+    "showStats": {
+      "label": "Mostra statistiche",
+      "desc": "Abilita questa opzione per visualizzare le statistiche della trasmissione come sovrapposizione sul flusso della telecamera."
+    },
+    "debugView": "Vista correzioni",
+    "start": "Avvia la registrazione su richiesta",
+    "started": "Registrazione manuale su richiesta avviata.",
+    "failedToStart": "Impossibile avviare la registrazione manuale su richiesta.",
+    "end": "Termina la registrazione su richiesta",
+    "ended": "Registrazione manuale su richiesta terminata.",
+    "failedToEnd": "Impossibile terminare la registrazione manuale su richiesta."
+  },
+  "cameraSettings": {
+    "snapshots": "Istantanee",
+    "autotracking": "Tracciamento automatico",
+    "title": "Impostazioni di {{camera}}",
+    "cameraEnabled": "Telecamera abilitata",
+    "objectDetection": "Rilevamento di oggetti",
+    "recording": "Registrazione",
+    "audioDetection": "Rilevamento audio"
+  },
+  "history": {
+    "label": "Mostra filmati storici"
+  },
+  "notifications": "Notifiche",
+  "streamingSettings": "Impostazioni di trasmissione",
+  "audio": "Audio",
+  "cameraAudio": {
+    "enable": "Abilita audio della telecamera",
+    "disable": "Disabilita audio della telecamera"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "enable": "Abilita clic per spostare",
+        "disable": "Disabilita il clic per spostare",
+        "label": "Fai clic nella cornice per centrare la telecamera"
+      },
+      "left": {
+        "label": "Sposta la telecamera PTZ a sinistra"
+      },
+      "up": {
+        "label": "Sposta la telecamera PTZ verso l'alto"
+      },
+      "down": {
+        "label": "Sposta la telecamera PTZ verso il basso"
+      },
+      "right": {
+        "label": "Sposta la telecamera PTZ a destra"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Ingrandisci la telecamera PTZ"
+      },
+      "out": {
+        "label": "Riduci la telecamera PTZ"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Fai clic nella cornice per centrare la telecamera PTZ"
+      }
+    },
+    "presets": "Preimpostazioni della telecamera PTZ"
+  },
+  "camera": {
+    "enable": "Abilita telecamera",
+    "disable": "Disabilita telecamera"
+  },
+  "muteCameras": {
+    "enable": "Muta tutte le telecamere",
+    "disable": "Attiva audio di tutte le telecamere"
+  },
+  "detect": {
+    "enable": "Abilita rilevamento",
+    "disable": "Disabilita rilevamento"
+  },
+  "recording": {
+    "enable": "Abilita registrazione",
+    "disable": "Disabilita registrazione"
+  },
+  "audioDetect": {
+    "enable": "Abilita rilevamento audio",
+    "disable": "Disabilita rilevamento audio"
+  },
+  "autotracking": {
+    "enable": "Abilita il tracciamento automatico",
+    "disable": "Disabilita il tracciamento automatico"
+  },
+  "streamStats": {
+    "enable": "Mostra statistiche di trasmissione",
+    "disable": "Nascondi statistiche di trasmissione"
+  },
+  "suspend": {
+    "forTime": "Sospendi per: "
+  },
+  "stream": {
+    "title": "Trasmissione",
+    "audio": {
+      "tips": {
+        "title": "L'audio deve essere trasmesso dalla tua telecamera e configurato in go2rtc per questa trasmissione.",
+        "documentation": "Leggi la documentazione "
+      },
+      "unavailable": "L'audio non è disponibile per questo flusso",
+      "available": "L'audio è disponibile per questo flusso"
+    },
+    "twoWayTalk": {
+      "tips": "Il dispositivo deve supportare la funzionalità e WebRTC deve essere configurato per la comunicazione bidirezionale.",
+      "tips.documentation": "Leggi la documentazione ",
+      "unavailable": "La comunicazione bidirezionale non è disponibile per questo flusso",
+      "available": "La comunicazione bidirezionale è disponibile per questo flusso"
+    },
+    "playInBackground": {
+      "tips": "Abilita questa opzione per continuare la trasmissione quando il lettore è nascosto.",
+      "label": "Riproduci in sottofondo"
+    },
+    "lowBandwidth": {
+      "tips": "La visualizzazione dal vivo è in modalità a bassa larghezza di banda a causa di errori di caricamento o di trasmissione.",
+      "resetStream": "Reimposta flusso"
+    }
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Tutto",
+      "motion": "Movimento",
+      "active_objects": "Oggetti attivi"
+    },
+    "notAllTips": "La configurazione di conservazione della registrazione di {{source}} è impostata su <code>mode: {{effectiveRetainMode}}</code>, quindi questa registrazione su richiesta conserverà solo i segmenti con {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Modifica formato",
+    "group": {
+      "label": "Modifica gruppo telecamere"
+    },
+    "exitEdit": "Esci dalla modifica"
+  }
+}
diff --git a/web/public/locales/it/views/recording.json b/web/public/locales/it/views/recording.json
new file mode 100644
index 000000000..411070bba
--- /dev/null
+++ b/web/public/locales/it/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "calendar": "Calendario",
+  "export": "Esporta",
+  "filter": "Filtro",
+  "filters": "Filtri",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nessun intervallo di tempo valido selezionato",
+      "endTimeMustAfterStartTime": "L'ora di fine deve essere successiva all'ora di inizio"
+    }
+  }
+}
diff --git a/web/public/locales/it/views/search.json b/web/public/locales/it/views/search.json
new file mode 100644
index 000000000..873ef007c
--- /dev/null
+++ b/web/public/locales/it/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Cerca",
+  "savedSearches": "Ricerche salvate",
+  "searchFor": "Cerca {{inputValue}}",
+  "button": {
+    "clear": "Cancella ricerca",
+    "save": "Salva ricerca",
+    "delete": "Elimina la ricerca salvata",
+    "filterInformation": "Informazioni sul filtro",
+    "filterActive": "Filtri attivi"
+  },
+  "filter": {
+    "label": {
+      "has_snapshot": "Contiene istantanea",
+      "cameras": "Telecamere",
+      "search_type": "Tipo di ricerca",
+      "has_clip": "Contiene video",
+      "before": "Prima",
+      "labels": "Etichette",
+      "min_score": "Punteggio minimo",
+      "zones": "Zone",
+      "max_score": "Punteggio massimo",
+      "min_speed": "Velocità minima",
+      "time_range": "Intervallo di tempo",
+      "after": "Dopo",
+      "max_speed": "Velocità massima",
+      "recognized_license_plate": "Targa riconosciuta",
+      "sub_labels": "Sottoetichette"
+    },
+    "tips": {
+      "desc": {
+        "step3": "Puoi utilizzare più filtri aggiungendoli uno dopo l'altro, lasciando uno spazio in mezzo.",
+        "step5": "Il filtro intervallo di tempo utilizza il formato {{exampleTime}}.",
+        "exampleLabel": "Esempio:",
+        "step1": "Digita un nome chiave di filtro seguito da due punti (ad esempio, \"telecamere:\").",
+        "step2": "Seleziona un valore dai suggerimenti oppure digita il tuo valore.",
+        "step4": "I filtri data (prima: e dopo:) utilizzano il formato {{DateFormat}}.",
+        "step6": "Rimuovi i filtri cliccando sulla \"x\" accanto ad essi.",
+        "text": "I filtri ti aiutano a restringere i risultati della ricerca. Ecco come usarli nel campo di inserimento:"
+      },
+      "title": "Come utilizzare i filtri di testo"
+    },
+    "toast": {
+      "error": {
+        "minScoreMustBeLessOrEqualMaxScore": "Il 'punteggio minimo' deve essere minore o uguale del 'punteggio massimo'.",
+        "beforeDateBeLaterAfter": "La data 'prima' deve essere successiva alla data 'dopo'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "La 'velocità minima' deve essere minore o uguale della 'velocità massima'.",
+        "afterDatebeEarlierBefore": "La data 'dopo' deve essere precedente alla data 'prima'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Il 'punteggio massimo' deve essere maggiore o uguale del 'punteggio minimo'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "La 'velocità massima' deve essere maggiore o uguale della 'velocità minima'."
+      }
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Descrizione"
+    },
+    "header": {
+      "noFilters": "Filtri",
+      "activeFilters": "Filtri attivi",
+      "currentFilterType": "Valori del filtro"
+    }
+  },
+  "similaritySearch": {
+    "clear": "Cancella ricerca di somiglianza",
+    "title": "Ricerca di somiglianza",
+    "active": "Ricerca di somiglianza attiva"
+  },
+  "placeholder": {
+    "search": "Ricerca…"
+  },
+  "trackedObjectId": "ID oggetto tracciato"
+}
diff --git a/web/public/locales/it/views/settings.json b/web/public/locales/it/views/settings.json
new file mode 100644
index 000000000..78b74c3b4
--- /dev/null
+++ b/web/public/locales/it/views/settings.json
@@ -0,0 +1,686 @@
+{
+  "documentTitle": {
+    "authentication": "Impostazioni di autenticazione - Frigate",
+    "default": "Impostazioni - Frigate",
+    "classification": "Impostazioni di classificazione - Frigate",
+    "camera": "Impostazioni telecamera - Frigate",
+    "masksAndZones": "Editor di maschere e zone - Frigate",
+    "motionTuner": "Regolatore di movimento - Frigate",
+    "object": "Correzioni - Frigate",
+    "general": "Impostazioni generali - Frigate",
+    "frigatePlus": "Impostazioni Frigate+ - Frigate",
+    "notifications": "Impostazioni di notifiche - Frigate",
+    "enrichments": "Impostazioni di miglioramento - Frigate"
+  },
+  "frigatePlus": {
+    "snapshotConfig": {
+      "cleanCopyWarning": "Alcune telecamere hanno le istantanee abilitate ma la copia pulita disabilitata. È necessario abilitare <code>clean_copy</code> nella configurazione delle istantanee per poter inviare le immagini da queste telecamere a Frigate+.",
+      "table": {
+        "snapshots": "Istantanee",
+        "camera": "Telecamera",
+        "cleanCopySnapshots": "<code>clean_copy</code> Istantanee"
+      },
+      "desc": "Per inviare a Frigate+ è necessario che nella configurazione siano abilitate sia le istantanee che le istantanee <code>clean_copy</code>.",
+      "documentation": "Leggi la documentazione",
+      "title": "Configurazione istantanee"
+    },
+    "apiKey": {
+      "title": "Chiave API Frigate+",
+      "validated": "La chiave API Frigate+ è stata rilevata e convalidata",
+      "notValidated": "La chiave API Frigate+ non è stata rilevata o non è stata convalidata",
+      "desc": "La chiave API Frigate+ consente l'integrazione con il servizio Frigate+.",
+      "plusLink": "Scopri di più su Frigate+"
+    },
+    "modelInfo": {
+      "trainDate": "Data addestramento",
+      "baseModel": "Modello base",
+      "cameras": "Telecamere",
+      "plusModelType": {
+        "userModel": "Messa a punto fine",
+        "baseModel": "Modello base"
+      },
+      "availableModels": "Modelli disponibili",
+      "loadingAvailableModels": "Caricamento dei modelli disponibili…",
+      "supportedDetectors": "Rilevatori supportati",
+      "error": "Impossibile caricare le informazioni sul modello",
+      "modelType": "Tipo di modello",
+      "modelSelect": "Qui puoi selezionare i modelli disponibili su Frigate+. Nota: puoi selezionare solo i modelli compatibili con la configurazione attuale del tuo rilevatore.",
+      "title": "Informazioni sul modello",
+      "loading": "Caricamento informazioni sul modello…"
+    },
+    "toast": {
+      "error": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}",
+      "success": "Le impostazioni di Frigate+ sono state salvate. Riavvia Frigate per applicare le modifiche."
+    },
+    "title": "Impostazioni Frigate+",
+    "restart_required": "Riavvio richiesto (modello Frigate+ modificato)",
+    "unsavedChanges": "Modifiche alle impostazioni di Frigate+ non salvate"
+  },
+  "debug": {
+    "timestamp": {
+      "desc": "Sovrapponi l'orario all'immagine",
+      "title": "Orario"
+    },
+    "objectShapeFilterDrawing": {
+      "tips": "Abilita questa opzione per disegnare un rettangolo sull'immagine della telecamera per mostrarne l'area e il rapporto. Questi valori possono quindi essere utilizzati per impostare i parametri del filtro forma oggetto nella configurazione.",
+      "area": "Area",
+      "title": "Disegno del filtro della forma dell'oggetto",
+      "desc": "Disegna un rettangolo sull'immagine per visualizzare i dettagli dell'area e del rapporto",
+      "document": "Leggi la documentazione ",
+      "score": "Punteggio",
+      "ratio": "Rapporto"
+    },
+    "detectorDesc": "Frigate utilizza i tuoi rilevatori ({{detectors}}) per rilevare oggetti nel flusso video della tua telecamera.",
+    "boundingBoxes": {
+      "colors": {
+        "info": "<li>All'avvio, a ciascuna etichetta dell'oggetto verranno assegnati colori diversi</li><li>Una linea sottile blu scuro indica che l'oggetto non è stato rilevato in questo momento</li><li>Una linea sottile grigia indica che l'oggetto è stato rilevato come stazionario</li><li>Una linea spessa indica che l'oggetto è oggetto di tracciamento automatico (se abilitato)</li>",
+        "label": "Colori del riquadro di delimitazione dell'oggetto"
+      },
+      "desc": "Mostra i riquadri di delimitazione attorno agli oggetti tracciati",
+      "title": "Riquadri di delimitazione"
+    },
+    "regions": {
+      "tips": "<p><strong>Riquadri di regione</strong></p><br><p>I riquadri di colore verde brillante verranno sovrapposte alle aree di interesse nel fotogramma che viene inviato al rilevatore di oggetti.</p>",
+      "title": "Regioni",
+      "desc": "Mostra un riquadro della regione di interesse inviata al rilevatore di oggetti"
+    },
+    "noObjects": "Nessun oggetto",
+    "title": "Correzioni",
+    "desc": "La vista di correzione mostra una vista in tempo reale degli oggetti tracciati e delle relative statistiche. L'elenco degli oggetti mostra un riepilogo ritardato degli oggetti rilevati.",
+    "debugging": "Correzioni",
+    "objectList": "Elenco degli oggetti",
+    "mask": {
+      "desc": "Mostra i poligoni della maschera di movimento",
+      "title": "Maschere di movimento"
+    },
+    "motion": {
+      "title": "Riquadri di movimento",
+      "desc": "Mostra i riquadri attorno alle aree in cui viene rilevato il movimento",
+      "tips": "<p><strong>Riquadri di movimento</strong></p><br><p>I riquadri rossi verranno sovrapposti alle aree dell'inquadratura in cui viene attualmente rilevato un movimento</p>"
+    },
+    "zones": {
+      "title": "Zone",
+      "desc": "Mostra un contorno di tutte le zone definite"
+    }
+  },
+  "masksAndZones": {
+    "motionMasks": {
+      "context": {
+        "title": "Le maschere di movimento vengono utilizzate per impedire che tipi di movimento indesiderati attivino il rilevamento (ad esempio: rami di alberi, orari di telecamere). Le maschere di movimento dovrebbero essere utilizzate con <em>molta parsimonia</em>: un uso eccessivo renderebbe più difficile il tracciamento degli oggetti.",
+        "documentation": "Leggi la documentazione"
+      },
+      "desc": {
+        "title": "Le maschere di movimento vengono utilizzate per impedire che movimenti indesiderati attivino il rilevamento. Un mascheramento eccessivo renderà più difficile il tracciamento degli oggetti.",
+        "documentation": "Documentazione"
+      },
+      "label": "Maschera di movimento",
+      "edit": "Modifica maschera di movimento",
+      "clickDrawPolygon": "Fai clic per disegnare un poligono sull'immagine.",
+      "polygonAreaTooLarge": {
+        "title": "La maschera di movimento copre il {{polygonArea}}% dell'inquadratura. Si sconsiglia di utilizzare maschere di movimento di grandi dimensioni.",
+        "documentation": "Leggi la documentazione",
+        "tips": "Le maschere di movimento non impediscono il rilevamento degli oggetti. È consigliabile utilizzare una zona specifica."
+      },
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} punti",
+      "point_other": "{{count}} punti",
+      "documentTitle": "Modifica maschera movimento - Frigate",
+      "add": "Nuova maschera di movimento",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} è stato salvato. Riavvia Frigate per applicare le modifiche.",
+          "noName": "La maschera di movimento è stata salvata. Riavvia Frigate per applicare le modifiche."
+        }
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "hasIllegalCharacter": "Il nome della zona contiene caratteri non validi.",
+          "mustNotBeSameWithCamera": "Il nome della zona non deve essere uguale al nome della telecamera.",
+          "mustBeAtLeastTwoCharacters": "Il nome della zona deve essere composto da almeno 2 caratteri.",
+          "alreadyExists": "Per questa telecamera esiste già una zona con questo nome.",
+          "mustNotContainPeriod": "Il nome della zona non deve contenere punti."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "La distanza deve essere maggiore o uguale a 0.1.",
+          "mustBeFilled": "Per utilizzare la stima della velocità è necessario compilare tutti i campi relativi alla distanza."
+        }
+      },
+      "polygonDrawing": {
+        "delete": {
+          "title": "Conferma eliminazione",
+          "desc": "Sei sicuro di voler eliminare {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} è stato eliminato."
+        },
+        "removeLastPoint": "Rimuovi l'ultimo punto",
+        "reset": {
+          "label": "Cancella tutti i punti"
+        },
+        "snapPoints": {
+          "true": "Aggancia punti",
+          "false": "Non agganciare punti"
+        },
+        "error": {
+          "mustBeFinished": "Prima di salvare, è necessario terminare il disegno del poligono."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "L'inerzia deve essere superiore a 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Il tempo di permanenza deve essere maggiore o uguale a 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "La soglia di velocità deve essere maggiore o uguale a 0,1."
+        }
+      }
+    },
+    "filter": {
+      "all": "Tutte le maschere e zone"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coordinate per {{polyName}} copiate negli appunti."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Impossibile copiare le coordinate negli appunti."
+      }
+    },
+    "zones": {
+      "speedEstimation": {
+        "desc": "Abilita la stima della velocità per gli oggetti in questa zona. La zona deve avere esattamente 4 punti.",
+        "title": "Stima della velocità",
+        "docs": "Leggi la documentazione",
+        "lineCDistance": "Distanza della linea C ({{unit}})",
+        "lineDDistance": "Distanza della linea D ({{unit}})",
+        "lineADistance": "Distanza della linea A ({{unit}})",
+        "lineBDistance": "Distanza della linea B ({{unit}})"
+      },
+      "add": "Aggiungi zona",
+      "speedThreshold": {
+        "desc": "Specifica una velocità minima affinché gli oggetti vengano presi in considerazione in questa zona.",
+        "toast": {
+          "error": {
+            "pointLengthError": "La stima della velocità è stata disattivata per questa zona. Le zone con stima della velocità devono avere esattamente 4 punti.",
+            "loiteringTimeError": "Le zone con tempi di permanenza superiori a 0 non devono essere utilizzate per la stima della velocità."
+          }
+        },
+        "title": "Soglia di velocità ({{unit}})"
+      },
+      "desc": {
+        "title": "Le zone consentono di definire un'area specifica dell'inquadratura, in modo da poter determinare se un oggetto si trova o meno all'interno di un'area particolare.",
+        "documentation": "Documentazione"
+      },
+      "edit": "Modifica zona",
+      "name": {
+        "inputPlaceHolder": "Inserisci un nome…",
+        "title": "Nome",
+        "tips": "Il nome deve essere composto da almeno 2 caratteri e non deve essere il nome di una telecamera o di un'altra zona."
+      },
+      "clickDrawPolygon": "Fai clic per disegnare un poligono sull'immagine.",
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} punti",
+      "point_other": "{{count}} punti",
+      "label": "Zone",
+      "documentTitle": "Modifica zona - Frigate",
+      "inertia": {
+        "title": "Inerzia",
+        "desc": "Specifica quanti fotogrammi deve avere un oggetto in una zona prima di essere considerato nella zona. <em>Predefinito: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Tempo di permanenza",
+        "desc": "Imposta un intervallo di tempo minimo in secondi per cui l'oggetto deve trovarsi nella zona affinché venga attivato. <em>Predefinito: 0</em>"
+      },
+      "objects": {
+        "title": "Oggetti",
+        "desc": "Elenco degli oggetti che si applicano a questa zona."
+      },
+      "allObjects": "Tutti gli oggetti",
+      "toast": {
+        "success": "La zona ({{zoneName}}) è stata salvata. Riavvia Frigate per applicare le modifiche."
+      }
+    },
+    "objectMasks": {
+      "desc": {
+        "title": "Le maschere di filtro degli oggetti vengono utilizzate per filtrare i falsi positivi per un determinato tipo di oggetto in base alla posizione.",
+        "documentation": "Documentazione"
+      },
+      "context": "Le maschere di filtro degli oggetti vengono utilizzate per filtrare i falsi positivi per un determinato tipo di oggetto in base alla posizione.",
+      "point_one": "{{count}} punto",
+      "point_many": "{{count}} punti",
+      "point_other": "{{count}} punti",
+      "add": "Aggiungi maschera oggetti",
+      "clickDrawPolygon": "Fai clic per disegnare un poligono sull'immagine.",
+      "edit": "Modifica maschera oggetti",
+      "objects": {
+        "desc": "Tipo di oggetto applicabile a questa maschera oggetto.",
+        "title": "Oggetti",
+        "allObjectTypes": "Tutti i tipi di oggetti"
+      },
+      "toast": {
+        "success": {
+          "noName": "La maschera oggetto è stata salvata. Riavvia Frigate per applicare le modifiche.",
+          "title": "{{polygonName}} è stato salvato. Riavvia Frigate per applicare le modifiche."
+        }
+      },
+      "label": "Maschere di oggetti",
+      "documentTitle": "Modifica maschera oggetti - Frigate"
+    },
+    "restart_required": "Riavvio richiesto (maschere/zone modificate)",
+    "motionMaskLabel": "Maschera di movimento {{number}}",
+    "objectMaskLabel": "Maschera di oggetto {{number}} ({{label}})"
+  },
+  "cameraSetting": {
+    "camera": "Telecamera",
+    "noCamera": "Nessuna telecamera"
+  },
+  "camera": {
+    "reviewClassification": {
+      "limitDetections": "Limita i rilevamenti a zone specifiche",
+      "objectDetectionsTips": "Tutti gli oggetti {{detectionsLabels}} non categorizzati su {{cameraName}} verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano.",
+      "zoneObjectDetectionsTips": {
+        "text": "Tutti gli oggetti {{detectionsLabels}} non categorizzati in {{zone}} su {{cameraName}} verranno mostrati come Rilevamenti.",
+        "notSelectDetections": "Tutti gli oggetti {{detectionsLabels}} rilevati in {{zone}} su {{cameraName}} non classificati come Avvisi verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano.",
+        "regardlessOfZoneObjectDetectionsTips": "Tutti gli oggetti {{detectionsLabels}} non categorizzati su {{cameraName}} verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano."
+      },
+      "title": "Classificazione della revisione",
+      "desc": "Frigate categorizza gli elementi di revisione come Avvisi e Rilevamenti. Per impostazione predefinita, tutti gli oggetti <em>persona</em> e <em>auto</em> sono considerati Avvisi. Puoi perfezionare la categorizzazione degli elementi di revisione configurando le zone desiderate.",
+      "objectAlertsTips": "Tutti gli oggetti {{alertsLabels}} su {{cameraName}} verranno mostrati come Avvisi.",
+      "toast": {
+        "success": "La configurazione della classificazione di revisione è stata salvata. Riavvia Frigate per applicare le modifiche."
+      },
+      "readTheDocumentation": "Leggi la documentazione",
+      "noDefinedZones": "Per questa telecamera non sono definite zone.",
+      "zoneObjectAlertsTips": "Tutti gli oggetti {{alertsLabels}} rilevati in {{zone}} su {{cameraName}} verranno visualizzati come Avvisi.",
+      "selectAlertsZones": "Seleziona le zone per gli Avvisi",
+      "selectDetectionsZones": "Seleziona le zone per i Rilevamenti",
+      "unsavedChanges": "Impostazioni di classificazione delle revisioni non salvate per {{camera}}"
+    },
+    "streams": {
+      "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi da parte di Frigate. Rilevamento, registrazione e correzioni non saranno disponibili.<br /> <em>Nota: questa operazione non disabilita le ritrasmissioni di go2rtc.</em>",
+      "title": "Flussi"
+    },
+    "title": "Impostazioni telecamera",
+    "review": {
+      "title": "Rivedi",
+      "desc": "Abilita/disabilita temporaneamente avvisi e rilevamenti per questa telecamera fino al riavvio di Frigate. Se disabilitati, non verranno generati nuovi elementi di revisione. ",
+      "alerts": "Avvisi ",
+      "detections": "Rilevamenti "
+    }
+  },
+  "menu": {
+    "motionTuner": "Regolatore di movimento",
+    "notifications": "Notifiche",
+    "ui": "Interfaccia utente",
+    "classification": "Classificazione",
+    "cameras": "Impostazioni telecamera",
+    "masksAndZones": "Maschere / Zone",
+    "debug": "Correzioni",
+    "users": "Utenti",
+    "frigateplus": "Frigate+",
+    "enrichments": "Miglioramenti"
+  },
+  "users": {
+    "dialog": {
+      "changeRole": {
+        "roleInfo": {
+          "viewerDesc": "Limitato solo alle schermate dal vivo, alle revisioni, alle esplorazioni e alle esportazioni.",
+          "intro": "Seleziona il ruolo appropriato per questo utente:",
+          "admin": "Amministratore",
+          "adminDesc": "Accesso completo a tutte le funzionalità.",
+          "viewer": "Spettatore"
+        },
+        "title": "Cambia ruolo utente",
+        "desc": "Aggiorna i permessi per <strong>{{username}}</strong>",
+        "select": "Seleziona un ruolo"
+      },
+      "deleteUser": {
+        "warn": "Sei sicuro di voler eliminare <strong>{{username}}</strong>?",
+        "title": "Elimina utente",
+        "desc": "Questa azione non può essere annullata. L'account utente verrà eliminato definitivamente e tutti i dati associati verranno rimossi."
+      },
+      "form": {
+        "user": {
+          "placeholder": "Inserisci il nome utente",
+          "title": "Nome utente",
+          "desc": "Sono consentiti solo lettere, numeri, punti e caratteri di sottolineatura."
+        },
+        "password": {
+          "confirm": {
+            "title": "Conferma password",
+            "placeholder": "Conferma password"
+          },
+          "strength": {
+            "title": "Forza della password: ",
+            "weak": "Debole",
+            "medium": "Media",
+            "strong": "Forte",
+            "veryStrong": "Molto forte"
+          },
+          "title": "Password",
+          "placeholder": "Inserisci la password",
+          "match": "Le password corrispondono",
+          "notMatch": "Le password non corrispondono"
+        },
+        "newPassword": {
+          "title": "Nuova password",
+          "placeholder": "Inserisci la nuova password",
+          "confirm": {
+            "placeholder": "Reinserisci la nuova password"
+          }
+        },
+        "usernameIsRequired": "Il nome utente è obbligatorio",
+        "passwordIsRequired": "La password è obbligatoria"
+      },
+      "createUser": {
+        "desc": "Aggiungi un nuovo account utente e specifica un ruolo per l'accesso alle aree dell'interfaccia utente di Frigate.",
+        "title": "Crea nuovo utente",
+        "usernameOnlyInclude": "Il nome utente può contenere solo lettere, numeri, . o _",
+        "confirmPassword": "Conferma la password"
+      },
+      "passwordSetting": {
+        "updatePassword": "Aggiorna la password per {{username}}",
+        "setPassword": "Imposta password",
+        "desc": "Crea una password complessa per proteggere questo account.",
+        "cannotBeEmpty": "La password non può essere vuota",
+        "doNotMatch": "Le password non corrispondono"
+      }
+    },
+    "table": {
+      "password": "Password",
+      "username": "Nome utente",
+      "actions": "Azioni",
+      "role": "Ruolo",
+      "noUsers": "Nessun utente trovato.",
+      "changeRole": "Cambia ruolo utente",
+      "deleteUser": "Elimina utente"
+    },
+    "toast": {
+      "error": {
+        "roleUpdateFailed": "Impossibile aggiornare il ruolo: {{errorMessage}}",
+        "setPasswordFailed": "Impossibile salvare la password: {{errorMessage}}",
+        "createUserFailed": "Impossibile creare l'utente: {{errorMessage}}",
+        "deleteUserFailed": "Impossibile eliminare l'utente: {{errorMessage}}"
+      },
+      "success": {
+        "createUser": "Utente {{user}} creato con successo",
+        "updatePassword": "Password aggiornata con successo.",
+        "deleteUser": "Utente {{user}} eliminato con successo",
+        "roleUpdated": "Ruolo aggiornato per {{user}}"
+      }
+    },
+    "title": "Utenti",
+    "management": {
+      "title": "Gestione utenti",
+      "desc": "Gestisci gli account utente di questa istanza Frigate."
+    },
+    "addUser": "Aggiungi utente",
+    "updatePassword": "Aggiorna password"
+  },
+  "general": {
+    "liveDashboard": {
+      "automaticLiveView": {
+        "desc": "Passa automaticamente alla visualizzazione dal vivodi una telecamera quando viene rilevata attività. Disattivando questa opzione, le immagini statiche della telecamera nella schermata dal vivo verranno aggiornate solo una volta al minuto.",
+        "label": "Visualizzazione automatica dal vivo"
+      },
+      "playAlertVideos": {
+        "label": "Riproduci video di avvisi",
+        "desc": "Per impostazione predefinita, gli avvisi recenti nella schermata dal vivo vengono riprodotti come brevi video in ciclo. Disattiva questa opzione per visualizzare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser."
+      },
+      "title": "Schermata dal vivo"
+    },
+    "title": "Impostazioni generali",
+    "storedLayouts": {
+      "title": "Formati memorizzati",
+      "desc": "La disposizione delle telecamere in un gruppo può essere trascinata/ridimensionata. Le posizioni vengono salvate nella memoria locale del browser.",
+      "clearAll": "Cancella tutti i formati"
+    },
+    "cameraGroupStreaming": {
+      "title": "Impostazioni di trasmissione del gruppo di telecamere",
+      "desc": "Le impostazioni di trasmissione per ciascun gruppo di telecamere vengono salvate nella memoria locale del browser.",
+      "clearAll": "Cancella tutte le impostazioni di trasmissione"
+    },
+    "recordingsViewer": {
+      "title": "Visualizzatore di registrazioni",
+      "defaultPlaybackRate": {
+        "label": "Velocità di riproduzione predefinita",
+        "desc": "Velocità di riproduzione predefinita per la riproduzione delle registrazioni."
+      }
+    },
+    "calendar": {
+      "title": "Calendario",
+      "firstWeekday": {
+        "label": "Primo giorno della settimana",
+        "desc": "Giorno in cui iniziano le settimane del calendario di revisione.",
+        "sunday": "Domenica",
+        "monday": "Lunedi"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Formato memorizzato cancellato per {{cameraName}}",
+        "clearStreamingSettings": "Cancellate le impostazioni di trasmissione per tutti i gruppi di telecamere."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Impossibile cancellare il formato memorizzato: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Impossibile cancellare le impostazioni di trasmissione: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "licensePlateRecognition": {
+      "desc": "Frigate può riconoscere le targhe dei veicoli e aggiungere automaticamente i caratteri rilevati al campo recognized_license_plate o un nome noto come sub_label agli oggetti di tipo \"automobile\". Un caso d'uso comune potrebbe essere la lettura delle targhe delle auto che entrano in un vialetto o che transitano lungo una strada.",
+      "title": "Riconoscimento della targa",
+      "readTheDocumentation": "Leggi la documentazione"
+    },
+    "title": "Impostazioni di classificazione",
+    "semanticSearch": {
+      "title": "Ricerca semantica",
+      "desc": "La ricerca semantica in Frigate consente di trovare gli oggetti tracciati all'interno degli elementi della recensione utilizzando l'immagine stessa, una descrizione testuale definita dall'utente o una generata automaticamente.",
+      "readTheDocumentation": "Leggi la documentazione",
+      "modelSize": {
+        "large": {
+          "title": "grande",
+          "desc": "L'utilizzo di <em>large</em> sfrutta il modello Jina completo e, se applicabile, verrà eseguito automaticamente sulla GPU."
+        },
+        "small": {
+          "desc": "L'utilizzo di <em>small</em> sfrutta una versione quantizzata del modello che utilizza meno RAM ed è più veloce sulla CPU con una differenza davvero trascurabile nella qualità di incorporamento.",
+          "title": "piccolo"
+        },
+        "label": "Dimensioni del modello",
+        "desc": "Dimensioni del modello utilizzato per gli incorporamenti della ricerca semantica."
+      },
+      "reindexNow": {
+        "label": "Reindicizza ora",
+        "desc": "La reindicizzazione rigenererà gli incorporamenti per tutti gli oggetti tracciati. Questo processo viene eseguito in sottofondo e potrebbe impegnare al massimo la CPU e richiedere un tempo considerevole, a seconda del numero di oggetti tracciati.",
+        "confirmTitle": "Conferma reindicizzazione",
+        "confirmDesc": "Vuoi davvero reindicizzare tutti gli incorporamenti di oggetti tracciati? Questo processo verrà eseguito in sottofondo, ma potrebbe impegnare al massimo la CPU e richiedere molto tempo. Puoi monitorare l'avanzamento nella pagina Esplora.",
+        "confirmButton": "Reindicizza",
+        "success": "Reindicizzazione avviata con successo.",
+        "alreadyInProgress": "La reindicizzazione è già in corso.",
+        "error": "Impossibile avviare la reindicizzazione: {{errorMessage}}"
+      }
+    },
+    "faceRecognition": {
+      "title": "Riconoscimento facciale",
+      "desc": "Il riconoscimento facciale consente di assegnare un nome alle persone e, quando il volto viene riconosciuto, Frigate assegnerà il nome della persona come sottoetichetta. Queste informazioni sono incluse nell'interfaccia utente, nei filtri e nelle notifiche.",
+      "modelSize": {
+        "desc": "Dimensioni del modello utilizzato per il riconoscimento facciale.",
+        "small": {
+          "title": "piccolo",
+          "desc": "L'utilizzo di <em>small</em> sfrutta un modello di incorporamento di volti FaceNet che funziona in modo efficiente sulla maggior parte delle CPU."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "L'utilizzo di <em>large</em> sfrutta un modello di incorporamento di volti ArcFace e verrà eseguito automaticamente sulla GPU, se applicabile."
+        },
+        "label": "Dimensioni del modello"
+      },
+      "readTheDocumentation": "Leggi la documentazione"
+    },
+    "toast": {
+      "error": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}",
+      "success": "Le impostazioni di classificazione sono state salvate. Riavvia Frigate per applicare le modifiche."
+    },
+    "birdClassification": {
+      "desc": "La classificazione degli uccelli identifica gli uccelli noti utilizzando un modello Tensorflow quantizzato. Quando un uccello noto viene riconosciuto, il suo nome comune viene aggiunto come sub_label. Queste informazioni sono incluse nell'interfaccia utente, nei filtri e nelle notifiche.",
+      "title": "Classificazione degli uccelli"
+    },
+    "restart_required": "Riavvio richiesto (impostazioni di classificazione modificate)",
+    "unsavedChanges": "Modifiche alle impostazioni di classificazione non salvate"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Ci sono modifiche non salvate.",
+      "desc": "Vuoi salvare le modifiche prima di continuare?"
+    }
+  },
+  "motionDetectionTuner": {
+    "improveContrast": {
+      "title": "Migliora il contrasto",
+      "desc": "Migliora il contrasto nelle scene più scure. <em>Predefinito: ATTIVO</em>"
+    },
+    "desc": {
+      "title": "Frigate utilizza il rilevamento del movimento come primo controllo per verificare se nell'inquadratura si verifica qualcosa che valga la pena verificare tramite il rilevamento degli oggetti.",
+      "documentation": "Leggi la Guida alla Regolazione del Movimento"
+    },
+    "title": "Regolatore di rilevamento del movimento",
+    "contourArea": {
+      "title": "Area di contorno",
+      "desc": "Il valore dell'area di contorno viene utilizzato per decidere quali gruppi di pixel modificati possono essere considerati movimento. <em>Predefinito: 10</em>"
+    },
+    "Threshold": {
+      "title": "Soglia",
+      "desc": "Il valore di soglia determina l'entità della variazione di luminanza di un pixel necessaria per essere considerato movimento. <em>Predefinito: 30</em>"
+    },
+    "toast": {
+      "success": "Le impostazioni di movimento sono state salvate."
+    },
+    "unsavedChanges": "Modifiche non salvate del regolatore di movimento ({{camera}})"
+  },
+  "notification": {
+    "email": {
+      "placeholder": "es. esempio@email.com",
+      "desc": "È richiesto un indirizzo email valido che verrà utilizzato per avvisarti in caso di problemi con il servizio push.",
+      "title": "E-mail"
+    },
+    "cameras": {
+      "title": "Telecamere",
+      "noCameras": "Nessuna telecamera disponibile",
+      "desc": "Seleziona per quali telecamere abilitare le notifiche."
+    },
+    "unregisterDevice": "Annulla la registrazione di questo dispositivo",
+    "sendTestNotification": "Invia una notifica di prova",
+    "active": "Notifiche attive",
+    "suspended": "Notifiche sospese {{time}}",
+    "suspendTime": {
+      "5minutes": "Sospendi per 5 minuti",
+      "30minutes": "Sospendi per 30 minuti",
+      "10minutes": "Sospendi per 10 minuti",
+      "1hour": "Sospendi per 1 ora",
+      "12hours": "Sospendi per 12 ore",
+      "24hours": "Sospendi per 24 ore",
+      "untilRestart": "Sospendi fino al riavvio",
+      "suspend": "Sospendi"
+    },
+    "globalSettings": {
+      "desc": "Sospendi temporaneamente le notifiche per telecamere specifiche su tutti i dispositivi registrati.",
+      "title": "Impostazioni globali"
+    },
+    "registerDevice": "Registra questo dispositivo",
+    "notificationUnavailable": {
+      "desc": "Le notifiche push web richiedono un contesto sicuro (<code>https://...</code>). Questa è una limitazione del browser. Accedi a Frigate in modo sicuro per utilizzare le notifiche.",
+      "documentation": "Leggi la documentazione",
+      "title": "Notifiche non disponibili"
+    },
+    "deviceSpecific": "Impostazioni specifiche del dispositivo",
+    "toast": {
+      "success": {
+        "registered": "Registrazione per le notifiche completata con successo. È necessario riavviare Frigate prima di poter inviare qualsiasi notifica (inclusa una notifica di prova).",
+        "settingSaved": "Le impostazioni di notifica sono state salvate."
+      },
+      "error": {
+        "registerFailed": "Impossibile salvare la registrazione della notifica."
+      }
+    },
+    "title": "Notifiche",
+    "notificationSettings": {
+      "title": "Impostazioni notifiche",
+      "desc": "Frigate può inviare notifiche push in modo nativo al tuo dispositivo quando è in esecuzione nel browser o installato come PWA.",
+      "documentation": "Leggi la documentazione"
+    },
+    "cancelSuspension": "Annulla sospensione",
+    "unsavedRegistrations": "Registrazioni di notifiche non salvate",
+    "unsavedChanges": "Modifiche alle notifiche non salvate"
+  },
+  "enrichments": {
+    "toast": {
+      "success": "Le impostazioni di miglioramento sono state salvate. Riavvia Frigate per applicare le modifiche.",
+      "error": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}"
+    },
+    "title": "Impostazioni di miglioramento",
+    "semanticSearch": {
+      "reindexNow": {
+        "desc": "La reindicizzazione rigenererà gli incorporamenti per tutti gli oggetti tracciati. Questo processo viene eseguito in sottofondo e potrebbe impegnare al massimo la CPU e richiedere un tempo considerevole, a seconda del numero di oggetti tracciati.",
+        "success": "Reindicizzazione avviata con successo.",
+        "label": "Reindicizza ora",
+        "confirmTitle": "Conferma reindicizzazione",
+        "confirmDesc": "Vuoi davvero reindicizzare tutti gli incorporamenti di oggetti tracciati? Questo processo verrà eseguito in sottofondo, ma potrebbe impegnare al massimo la CPU e richiedere molto tempo. Puoi monitorare l'avanzamento nella pagina Esplora.",
+        "confirmButton": "Reindicizza",
+        "alreadyInProgress": "La reindicizzazione è già in corso.",
+        "error": "Impossibile avviare la reindicizzazione: {{errorMessage}}"
+      },
+      "modelSize": {
+        "small": {
+          "desc": "Utilizzando <em>piccolo</em> si utilizza una versione quantizzata del modello che utilizza meno RAM ed è più veloce sulla CPU con una differenza davvero trascurabile nella qualità di incorporamento.",
+          "title": "piccolo"
+        },
+        "label": "Dimensioni del modello",
+        "desc": "Dimensione del modello utilizzato per gli incorporamenti della ricerca semantica.",
+        "large": {
+          "title": "grande",
+          "desc": "L'utilizzo di <em>grande</em> utilizza il modello Jina completo e, se applicabile, verrà eseguito automaticamente sulla GPU."
+        }
+      },
+      "title": "Ricerca semantica",
+      "desc": "La ricerca semantica in Frigate consente di trovare gli oggetti tracciati all'interno degli elementi della recensione utilizzando l'immagine stessa, una descrizione testuale definita dall'utente o una generata automaticamente.",
+      "readTheDocumentation": "Leggi la documentazione"
+    },
+    "faceRecognition": {
+      "desc": "Il riconoscimento facciale consente di assegnare un nome alle persone e, quando il volto viene riconosciuto, Frigate assegnerà il nome della persona come sottoetichetta. Queste informazioni sono incluse nell'interfaccia utente, nei filtri e nelle notifiche.",
+      "title": "Riconoscimento facciale",
+      "readTheDocumentation": "Leggi la documentazione",
+      "modelSize": {
+        "label": "Dimensioni del modello",
+        "desc": "Dimensioni del modello utilizzato per il riconoscimento facciale.",
+        "small": {
+          "title": "piccolo",
+          "desc": "L'utilizzo di <em>piccolo</em> sfrutta un modello di incorporamento di volti FaceNet che funziona in modo efficiente sulla maggior parte delle CPU."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "L'utilizzo di <em>grande</em> impiega un modello di incorporamento di volti ArcFace e verrà eseguito automaticamente sulla GPU, se applicabile."
+        }
+      }
+    },
+    "birdClassification": {
+      "desc": "La classificazione degli uccelli identifica gli uccelli noti utilizzando un modello Tensorflow quantizzato. Quando un uccello noto viene riconosciuto, il suo nome comune viene aggiunto come sub_label. Queste informazioni sono incluse nell'interfaccia utente, nei filtri e nelle notifiche.",
+      "title": "Classificazione degli uccelli"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate può riconoscere le targhe dei veicoli e aggiungere automaticamente i caratteri rilevati al campo recognized_license_plate o un nome noto come sub_label agli oggetti di tipo \"car\". Un caso d'uso comune potrebbe essere la lettura delle targhe delle auto che entrano in un vialetto o che transitano lungo una strada.",
+      "title": "Riconoscimento della targa",
+      "readTheDocumentation": "Leggi la documentazione"
+    },
+    "unsavedChanges": "Modifiche alle impostazioni di miglioramento non salvate",
+    "restart_required": "Riavvio richiesto (impostazioni di miglioramento modificate)"
+  }
+}
diff --git a/web/public/locales/it/views/system.json b/web/public/locales/it/views/system.json
new file mode 100644
index 000000000..ee838403c
--- /dev/null
+++ b/web/public/locales/it/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Statistiche telecamere - Frigate",
+    "enrichments": "Statistiche di miglioramento - Frigate",
+    "storage": "Statistiche archiviazione - Frigate",
+    "general": "Statistiche generali - Frigate",
+    "logs": {
+      "frigate": "Registri Frigate - Frigate",
+      "go2rtc": "Registri Go2RTC - Frigate",
+      "nginx": "Registri Nginx - Frigate"
+    }
+  },
+  "logs": {
+    "type": {
+      "timestamp": "Orario",
+      "label": "Tipo",
+      "tag": "Etichetta",
+      "message": "Messaggio"
+    },
+    "tips": "I registri vengono trasmessi dal server",
+    "toast": {
+      "error": {
+        "whileStreamingLogs": "Errore durante la trasmissione dei registri: {{errorMessage}}",
+        "fetchingLogsFailed": "Errore durante il recupero dei registri: {{errorMessage}}"
+      }
+    },
+    "download": {
+      "label": "Scarica registri"
+    },
+    "copy": {
+      "label": "Copia negli appunti",
+      "success": "Registri copiati negli appunti",
+      "error": "Impossibile copiare i registri negli appunti"
+    }
+  },
+  "general": {
+    "hardwareInfo": {
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "cudaComputerCapability": "Capacità di elaborazione CUDA: {{cuda_compute}}",
+          "title": "Risultati Nvidia SMI",
+          "name": "Nome: {{name}}",
+          "driver": "Driver: {{driver}}",
+          "vbios": "Informazioni VBios: {{vbios}}"
+        },
+        "vainfoOutput": {
+          "title": "Risultati Vainfo",
+          "returnCode": "Codice di ritorno: {{code}}",
+          "processOutput": "Risultati del processo:",
+          "processError": "Errore del processo:"
+        },
+        "closeInfo": {
+          "label": "Chiudi informazioni GPU"
+        },
+        "copyInfo": {
+          "label": "Copia informazioni GPU"
+        },
+        "toast": {
+          "success": "Informazioni GPU copiate negli appunti"
+        }
+      },
+      "title": "Informazioni hardware",
+      "gpuDecoder": "Decodificatore GPU",
+      "gpuEncoder": "Codificatore GPU",
+      "gpuUsage": "Utilizzo GPU",
+      "gpuMemory": "Memoria GPU",
+      "npuUsage": "Utilizzo NPU",
+      "npuMemory": "Memoria NPU"
+    },
+    "detector": {
+      "inferenceSpeed": "Velocità inferenza rilevatore",
+      "title": "Rilevatori",
+      "cpuUsage": "Utilizzo CPU rilevatore",
+      "memoryUsage": "Utilizzo memoria rilevatore",
+      "temperature": "Temperatura del rilevatore"
+    },
+    "title": "Generale",
+    "otherProcesses": {
+      "title": "Altri processi",
+      "processCpuUsage": "Utilizzo CPU processo",
+      "processMemoryUsage": "Utilizzo memoria processo"
+    }
+  },
+  "enrichments": {
+    "embeddings": {
+      "face_embedding_speed": "Velocità incorporazione volti",
+      "plate_recognition_speed": "Velocità riconoscimento targhe",
+      "image_embedding_speed": "Velocità incorporazione immagini",
+      "text_embedding_speed": "Velocità incorporazione testo",
+      "face_recognition_speed": "Velocità di riconoscimento facciale",
+      "face_recognition": "Riconoscimento facciale",
+      "plate_recognition": "Riconoscimento delle targhe",
+      "yolov9_plate_detection_speed": "Velocità di rilevamento della targa con YOLOv9",
+      "yolov9_plate_detection": "Rilevamento della targa con YOLOv9",
+      "image_embedding": "Incorporamento di immagini",
+      "text_embedding": "Incorporamento di testo"
+    },
+    "title": "Miglioramenti",
+    "infPerSecond": "Inferenze al secondo"
+  },
+  "cameras": {
+    "info": {
+      "fetching": "Recupero dati della telecamera",
+      "streamDataFromFFPROBE": "I dati del flusso vengono ottenuti con <code>ffprobe</code>.",
+      "cameraProbeInfo": "Informazioni analisi telecamera {{camera}}",
+      "stream": "Flusso {{idx}}",
+      "video": "Video:",
+      "codec": "Codec:",
+      "resolution": "Risoluzione:",
+      "fps": "FPS:",
+      "unknown": "Sconosciuto",
+      "audio": "Audio:",
+      "error": "Errore: {{error}}",
+      "tips": {
+        "title": "Informazioni analisi telecamera"
+      },
+      "aspectRatio": "rapporto d'aspetto"
+    },
+    "title": "Telecamere",
+    "overview": "Sommario",
+    "framesAndDetections": "Fotogrammi / Rilevamenti",
+    "label": {
+      "camera": "telecamera",
+      "detect": "rileva",
+      "skipped": "saltato",
+      "ffmpeg": "FFmpeg",
+      "capture": "cattura",
+      "overallFramesPerSecond": "fotogrammi totali al secondo",
+      "overallDetectionsPerSecond": "rilevamenti totali al secondo",
+      "overallSkippedDetectionsPerSecond": "rilevamenti totali saltati al secondo",
+      "cameraCapture": "{{camName}} cattura",
+      "cameraDetect": "{{camName}} rileva",
+      "cameraFramesPerSecond": "{{camName}} fotogrammi al secondo",
+      "cameraDetectionsPerSecond": "{{camName}} rilevamenti al secondo",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} rilevamenti saltati al secondo",
+      "cameraFfmpeg": "{{camName}} FFmpeg"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Dati di analisi copiati negli appunti."
+      },
+      "error": {
+        "unableToProbeCamera": "Impossibile analizzare la telecamera: {{errorMessage}}"
+      }
+    }
+  },
+  "stats": {
+    "detectHighCpuUsage": "{{camera}} ha un utilizzo elevato della CPU con il rilevamento ({{detectAvg}}%)",
+    "ffmpegHighCpuUsage": "{{camera}} ha un elevato utilizzo della CPU con FFmpeg ({{ffmpegAvg}}%)",
+    "healthy": "Il sistema è integro",
+    "reindexingEmbeddings": "Reindicizzazione degli incorporamenti (completata al {{processed}}%)",
+    "cameraIsOffline": "{{camera}} è disconnessa",
+    "detectIsSlow": "{{detect}} è lento ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} è molto lento ({{speed}} ms)"
+  },
+  "title": "Sistema",
+  "metrics": "Metriche di sistema",
+  "storage": {
+    "title": "Archiviazione",
+    "overview": "Sommario",
+    "recordings": {
+      "title": "Registrazioni",
+      "tips": "Questo valore rappresenta lo spazio di archiviazione totale utilizzato dalle registrazioni nel database di Frigate. Frigate non tiene traccia dell'utilizzo dello spazio di archiviazione per tutti i file presenti sul disco.",
+      "earliestRecording": "Prima registrazione disponibile:"
+    },
+    "cameraStorage": {
+      "title": "Archiviazione della telecamera",
+      "camera": "Telecamera",
+      "unusedStorageInformation": "Informazioni spazio di archiviazione non utilizzato",
+      "storageUsed": "Archiviazione",
+      "percentageOfTotalUsed": "Percentuale del totale",
+      "bandwidth": "Larghezza di banda",
+      "unused": {
+        "title": "Liberi",
+        "tips": "Questo valore potrebbe non rappresentare accuratamente lo spazio libero disponibile per Frigate se nel disco sono archiviati altri file oltre alle registrazioni di Frigate. Frigate non tiene traccia dell'utilizzo dello spazio di archiviazione al di fuori delle sue registrazioni."
+      }
+    }
+  },
+  "lastRefreshed": "Ultimo aggiornamento: "
+}
diff --git a/web/public/locales/ja/audio.json b/web/public/locales/ja/audio.json
new file mode 100644
index 000000000..533e387cc
--- /dev/null
+++ b/web/public/locales/ja/audio.json
@@ -0,0 +1,5 @@
+{
+  "speech": "スピーチ",
+  "car": "自動車",
+  "bicycle": "自転車"
+}
diff --git a/web/public/locales/ja/common.json b/web/public/locales/ja/common.json
new file mode 100644
index 000000000..44b1d2b51
--- /dev/null
+++ b/web/public/locales/ja/common.json
@@ -0,0 +1,7 @@
+{
+  "time": {
+    "untilForRestart": "Frigateが再起動するまで.",
+    "untilRestart": "再起動まで",
+    "untilForTime": "{{time}} まで"
+  }
+}
diff --git a/web/public/locales/ja/components/auth.json b/web/public/locales/ja/components/auth.json
new file mode 100644
index 000000000..db2e691c0
--- /dev/null
+++ b/web/public/locales/ja/components/auth.json
@@ -0,0 +1,7 @@
+{
+  "form": {
+    "user": "ユーザー名",
+    "password": "パスワード",
+    "login": "ログイン"
+  }
+}
diff --git a/web/public/locales/ja/components/camera.json b/web/public/locales/ja/components/camera.json
new file mode 100644
index 000000000..e2411e813
--- /dev/null
+++ b/web/public/locales/ja/components/camera.json
@@ -0,0 +1,7 @@
+{
+  "group": {
+    "label": "カメラグループ",
+    "add": "カメラグループを追加",
+    "edit": "カメラグループを編集"
+  }
+}
diff --git a/web/public/locales/ja/components/dialog.json b/web/public/locales/ja/components/dialog.json
new file mode 100644
index 000000000..9b0a3b3bc
--- /dev/null
+++ b/web/public/locales/ja/components/dialog.json
@@ -0,0 +1,9 @@
+{
+  "restart": {
+    "title": "Frigateを再起動しますか?",
+    "restarting": {
+      "title": "Frigateは再起動中です"
+    },
+    "button": "再起動"
+  }
+}
diff --git a/web/public/locales/ja/components/filter.json b/web/public/locales/ja/components/filter.json
new file mode 100644
index 000000000..10c2b4912
--- /dev/null
+++ b/web/public/locales/ja/components/filter.json
@@ -0,0 +1,9 @@
+{
+  "labels": {
+    "label": "ラベル",
+    "all": {
+      "title": "すべてのラベル"
+    }
+  },
+  "filter": "フィルタ"
+}
diff --git a/web/public/locales/ja/components/icons.json b/web/public/locales/ja/components/icons.json
new file mode 100644
index 000000000..2307ca4f1
--- /dev/null
+++ b/web/public/locales/ja/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "アイコンを検索…"
+    },
+    "selectIcon": "アイコンを選択"
+  }
+}
diff --git a/web/public/locales/ja/components/input.json b/web/public/locales/ja/components/input.json
new file mode 100644
index 000000000..fcf6fccab
--- /dev/null
+++ b/web/public/locales/ja/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "ビデオをダウンロード",
+      "toast": {
+        "success": "あなたのレビュー項目ビデオのダウンロードを開始しました."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ja/components/player.json b/web/public/locales/ja/components/player.json
new file mode 100644
index 000000000..153b60804
--- /dev/null
+++ b/web/public/locales/ja/components/player.json
@@ -0,0 +1,5 @@
+{
+  "noPreviewFound": "プレビューが見つかりません",
+  "noRecordingsFoundForThisTime": "この時間帯に録画は見つかりませんでした",
+  "noPreviewFoundFor": "{{cameraName}} のプレビューが見つかりません"
+}
diff --git a/web/public/locales/ja/objects.json b/web/public/locales/ja/objects.json
new file mode 100644
index 000000000..0f9ddaa73
--- /dev/null
+++ b/web/public/locales/ja/objects.json
@@ -0,0 +1,5 @@
+{
+  "bicycle": "自転車",
+  "car": "自動車",
+  "person": "人物"
+}
diff --git a/web/public/locales/ja/views/configEditor.json b/web/public/locales/ja/views/configEditor.json
new file mode 100644
index 000000000..b3d523c94
--- /dev/null
+++ b/web/public/locales/ja/views/configEditor.json
@@ -0,0 +1,7 @@
+{
+  "copyConfig": "設定をコピー",
+  "configEditor": "Configエディタ",
+  "saveAndRestart": "保存後再起動",
+  "saveOnly": "保存",
+  "confirm": "保存せずに終了しますか？"
+}
diff --git a/web/public/locales/ja/views/events.json b/web/public/locales/ja/views/events.json
new file mode 100644
index 000000000..f8ac7549c
--- /dev/null
+++ b/web/public/locales/ja/views/events.json
@@ -0,0 +1,7 @@
+{
+  "detections": "検出",
+  "motion": {
+    "label": "動作"
+  },
+  "alerts": "アラート"
+}
diff --git a/web/public/locales/ja/views/explore.json b/web/public/locales/ja/views/explore.json
new file mode 100644
index 000000000..0dec7d0b9
--- /dev/null
+++ b/web/public/locales/ja/views/explore.json
@@ -0,0 +1,3 @@
+{
+  "generativeAI": "生成AI"
+}
diff --git a/web/public/locales/ja/views/exports.json b/web/public/locales/ja/views/exports.json
new file mode 100644
index 000000000..aa8eb6703
--- /dev/null
+++ b/web/public/locales/ja/views/exports.json
@@ -0,0 +1,5 @@
+{
+  "documentTitle": "エクスポート - Frigate",
+  "noExports": "エクスポートがありません",
+  "search": "検索"
+}
diff --git a/web/public/locales/ja/views/faceLibrary.json b/web/public/locales/ja/views/faceLibrary.json
new file mode 100644
index 000000000..5bb34f410
--- /dev/null
+++ b/web/public/locales/ja/views/faceLibrary.json
@@ -0,0 +1,5 @@
+{
+  "description": {
+    "placeholder": "このコレクションの名前を入力してください"
+  }
+}
diff --git a/web/public/locales/ja/views/live.json b/web/public/locales/ja/views/live.json
new file mode 100644
index 000000000..a279c5391
--- /dev/null
+++ b/web/public/locales/ja/views/live.json
@@ -0,0 +1,5 @@
+{
+  "documentTitle": "ライブ - Frigate",
+  "documentTitle.withCamera": "{{camera}} - ライブ - Frigate",
+  "lowBandwidthMode": "低帯域幅モード"
+}
diff --git a/web/public/locales/ja/views/recording.json b/web/public/locales/ja/views/recording.json
new file mode 100644
index 000000000..336551285
--- /dev/null
+++ b/web/public/locales/ja/views/recording.json
@@ -0,0 +1,5 @@
+{
+  "filter": "フィルタ",
+  "calendar": "カレンダー",
+  "export": "エクスポート"
+}
diff --git a/web/public/locales/ja/views/search.json b/web/public/locales/ja/views/search.json
new file mode 100644
index 000000000..02f285695
--- /dev/null
+++ b/web/public/locales/ja/views/search.json
@@ -0,0 +1,11 @@
+{
+  "searchFor": "{{inputValue}} を検索",
+  "button": {
+    "save": "検索を保存",
+    "delete": "保存した検索を削除",
+    "filterInformation": "フィルタ情報",
+    "clear": "検索をクリア"
+  },
+  "search": "検索",
+  "savedSearches": "保存した検索"
+}
diff --git a/web/public/locales/ja/views/settings.json b/web/public/locales/ja/views/settings.json
new file mode 100644
index 000000000..f0993c869
--- /dev/null
+++ b/web/public/locales/ja/views/settings.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": {
+    "authentication": "認証設定 - Frigate",
+    "camera": "カメラの設定 - Frigate",
+    "default": "設定 - Frigate"
+  }
+}
diff --git a/web/public/locales/ja/views/system.json b/web/public/locales/ja/views/system.json
new file mode 100644
index 000000000..2c5d736f2
--- /dev/null
+++ b/web/public/locales/ja/views/system.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": {
+    "cameras": "カメラ統計 - Frigate",
+    "general": "一般統計 - Frigate",
+    "storage": "ストレージ統計 - Frigate"
+  }
+}
diff --git a/web/public/locales/ko/audio.json b/web/public/locales/ko/audio.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/audio.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/common.json b/web/public/locales/ko/common.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/common.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/auth.json b/web/public/locales/ko/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/camera.json b/web/public/locales/ko/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/dialog.json b/web/public/locales/ko/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/filter.json b/web/public/locales/ko/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/icons.json b/web/public/locales/ko/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/input.json b/web/public/locales/ko/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/components/player.json b/web/public/locales/ko/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/objects.json b/web/public/locales/ko/objects.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/objects.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/configEditor.json b/web/public/locales/ko/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/events.json b/web/public/locales/ko/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/explore.json b/web/public/locales/ko/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/exports.json b/web/public/locales/ko/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/faceLibrary.json b/web/public/locales/ko/views/faceLibrary.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/faceLibrary.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/live.json b/web/public/locales/ko/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/recording.json b/web/public/locales/ko/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/search.json b/web/public/locales/ko/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/settings.json b/web/public/locales/ko/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/system.json b/web/public/locales/ko/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/lt/audio.json b/web/public/locales/lt/audio.json
new file mode 100644
index 000000000..7f9bbc8a4
--- /dev/null
+++ b/web/public/locales/lt/audio.json
@@ -0,0 +1,38 @@
+{
+  "camera": "Kamera",
+  "speech": "Kalbėjimas",
+  "bicycle": "Dviratis",
+  "car": "Automobilis",
+  "motorcycle": "Motociklas",
+  "bus": "Autobusas",
+  "train": "Traukinys",
+  "boat": "Valtis",
+  "bird": "Paukštis",
+  "cat": "Katė",
+  "dog": "Šuo",
+  "horse": "Arklys",
+  "sheep": "Avis",
+  "babbling": "Burbėjimas",
+  "yell": "Šūksnis",
+  "skateboard": "Riedlentė",
+  "door": "Durys",
+  "mouse": "Pelė",
+  "keyboard": "Klaviatūra",
+  "sink": "Kriauklė",
+  "blender": "Plakiklis",
+  "clock": "Laikrodis",
+  "scissors": "Žirklės",
+  "hair_dryer": "Plaukų Džiovintuvas",
+  "toothbrush": "Dantų šepetėlis",
+  "vehicle": "Mašina",
+  "animal": "Gyvūnas",
+  "bark": "Lojimas",
+  "goat": "Ožka",
+  "bellow": "Apačioje",
+  "whoop": "Rėkavimas",
+  "whispering": "Šnabždėjimas",
+  "laughter": "Juokas",
+  "snicker": "Kikenimas",
+  "crying": "Verkimas",
+  "singing": "Dainavimas"
+}
diff --git a/web/public/locales/lt/common.json b/web/public/locales/lt/common.json
new file mode 100644
index 000000000..0f512e147
--- /dev/null
+++ b/web/public/locales/lt/common.json
@@ -0,0 +1,214 @@
+{
+  "time": {
+    "untilForTime": "Iki {{time}}",
+    "untilForRestart": "Iki kol Frigate persikraus.",
+    "untilRestart": "Iki perkrovimo",
+    "ago": "prieš {{timeAgo}}",
+    "justNow": "Ką tik",
+    "today": "Šiandien",
+    "yesterday": "Vakar",
+    "last7": "Paskutinės 7 dienos",
+    "last14": "Paskutinės 14 dienų",
+    "last30": "Paskutinės 30 dienų",
+    "thisWeek": "Šią Savaitę",
+    "lastWeek": "Praeitą Savaitę",
+    "thisMonth": "Šį Mėnesį",
+    "lastMonth": "Praeitą Mėnesį",
+    "5minutes": "5 minutės",
+    "10minutes": "10 minučių",
+    "30minutes": "30 minučių",
+    "1hour": "1 valandą",
+    "12hours": "12 valandų",
+    "24hours": "24 valandos",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}m",
+    "year_one": "{{time}} metai",
+    "year_few": "{{time}} metai",
+    "year_other": "{{time}} metų",
+    "mo": "{{time}}mėn",
+    "month_one": "{{time}} mėnuo",
+    "month_few": "{{time}} mėnesiai",
+    "month_other": "{{time}} mėnesių",
+    "d": "{{time}}d",
+    "day_one": "{{time}} diena",
+    "day_few": "{{time}} dienos",
+    "day_other": "{{time}} dienų",
+    "h": "{{time}}v",
+    "hour_one": "{{time}} valanda",
+    "hour_few": "{{time}} valandos",
+    "hour_other": "{{time}} valandų",
+    "m": "{{time}}min",
+    "minute_one": "{{time}} minutė",
+    "minute_few": "{{time}} minutės",
+    "minute_other": "{{time}} minučių",
+    "s": "{{time}}s",
+    "second_one": "{{time}} sekundė",
+    "second_few": "{{time}} sekundės",
+    "second_other": "{{time}} sekundžių",
+    "formattedTimestamp": {
+      "12hour": ""
+    }
+  },
+  "unit": {
+    "speed": {
+      "kph": "kmh"
+    },
+    "length": {
+      "feet": "pėdos",
+      "meters": "metrai"
+    }
+  },
+  "label": {
+    "back": "Eiti atgal"
+  },
+  "button": {
+    "apply": "Pritaikyti",
+    "reset": "Atstatyti",
+    "done": "Baigta",
+    "enabled": "Įjungta",
+    "enable": "Įjungti",
+    "disabled": "Išjungta",
+    "disable": "Išjungti",
+    "save": "Išsaugoti",
+    "saving": "Saugoma…",
+    "cancel": "Atšaukti",
+    "close": "Užverti",
+    "copy": "Kopijuoti",
+    "back": "Atgal",
+    "history": "Istorija",
+    "fullscreen": "Pilnas Ekranas",
+    "exitFullscreen": "Išeiti iš Pilno Ekrano",
+    "pictureInPicture": "Paveikslėlis Paveiksle",
+    "twoWayTalk": "Dvikryptis Kalbėjimas",
+    "cameraAudio": "Kameros Garsas",
+    "on": "",
+    "edit": "Redaguoti",
+    "copyCoordinates": "Kopijuoti koordinates",
+    "delete": "Ištrinti",
+    "yes": "Taip",
+    "no": "Ne",
+    "download": "Atsisiųsti",
+    "info": "",
+    "suspended": "Pristatbdytas",
+    "unsuspended": "Atnaujinti",
+    "play": "Groti",
+    "unselect": "Atžymėti",
+    "export": "Eksportuoti",
+    "deleteNow": "Trinti Dabar",
+    "next": "Kitas"
+  },
+  "menu": {
+    "system": "Sistema",
+    "systemMetrics": "Sistemos duomenys",
+    "configuration": "Konfiguracija",
+    "systemLogs": "Sistemos įrašai",
+    "settings": "Nustatymai",
+    "configurationEditor": "Konfiguracijos Redaktorius",
+    "languages": "Kalbos",
+    "language": {
+      "en": "Anglų",
+      "es": "Ispanų",
+      "zhCN": "Kinų (supaprastinta)",
+      "fr": "Prancūzų",
+      "ar": "Arabų",
+      "pt": "Portugalų",
+      "ru": "Rusų",
+      "de": "Vokiečių",
+      "ja": "Japonų",
+      "tr": "Turkų",
+      "it": "Italų",
+      "nl": "Olandų",
+      "sv": "Švedų",
+      "cs": "Čekų",
+      "nb": "Norvegų",
+      "vi": "Vietnamiečių",
+      "fa": "Persų",
+      "pl": "Lenkų",
+      "uk": "Ukrainos",
+      "el": "Graikų",
+      "ro": "Romūnijos",
+      "hu": "Vengrų",
+      "fi": "Suomių",
+      "da": "Danų",
+      "sk": "Slovėnų",
+      "withSystem": {
+        "label": "Kalbai naudoti sistemos nustatymus"
+      }
+    },
+    "appearance": "Išvaizda",
+    "darkMode": {
+      "label": "Tamsusis Rėžimas",
+      "light": "Šviesus",
+      "dark": "Tamsus",
+      "withSystem": {
+        "label": "Šviesiam ar tamsiam rėžimui naudoti sistemos nustatymus"
+      }
+    },
+    "withSystem": "Sistema",
+    "theme": {
+      "label": "Tema",
+      "blue": "Mėlyna",
+      "green": "Žalia",
+      "nord": "Šiaurietiška",
+      "red": "Raudona",
+      "highcontrast": "Didelio Kontrasto",
+      "default": "Numatyta"
+    },
+    "help": "Pagalba",
+    "documentation": {
+      "title": "Dokumentacija",
+      "label": "Frigate dokumentacija"
+    },
+    "restart": "Perkrauti Frigate",
+    "live": {
+      "title": "Tiesiogiai",
+      "allCameras": "Visos Kameros",
+      "cameras": {
+        "title": "Kameros",
+        "count_one": "{{count}} Kamera",
+        "count_few": "{{count}} Kameros",
+        "count_other": "{{count}} Kamerų"
+      }
+    },
+    "review": "Peržiūros",
+    "explore": "Iškoti",
+    "export": "Eksportuoti",
+    "faceLibrary": "Veidų Biblioteka",
+    "user": {
+      "title": "Vartotojas",
+      "account": "Paskyra",
+      "current": "Esamas vartotojas: {{user}}",
+      "anonymous": "neidentifikuotas",
+      "logout": "atsijungti",
+      "setPassword": "Nustatyti Slaptažodi"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL nukopijuotas į atmintį.",
+    "save": {
+      "title": "Išsaugoti",
+      "error": {
+        "title": "Nepavyko išsaugoti konfiguracijos pakeitimų: {{errorMessage}}",
+        "noMessage": "Nepavyko išsaugoti konfiguracijos pakeitimų"
+      }
+    }
+  },
+  "role": {
+    "title": "Rolė",
+    "admin": "Adminas",
+    "viewer": "Žiūrėtojas",
+    "desc": "Adminai turi pilną prieigą prie visų Frigate vartotojo sąsajos fukncijų. Žiūrėtojai yra apriboti peržiūrėti kameras, peržiūrų įrašus ir istorinius įrašus."
+  },
+  "pagination": {
+    "label": "puslapiavimas",
+    "previous": {
+      "title": "Ankstesnis",
+      "label": "Eiti į ankstesnį puslapį"
+    },
+    "next": {
+      "title": "Sekantis",
+      "label": "Eiti į sekantį puslapį"
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/auth.json b/web/public/locales/lt/components/auth.json
new file mode 100644
index 000000000..7b3737040
--- /dev/null
+++ b/web/public/locales/lt/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Vartotojo vardas",
+    "password": "Slaptažodis",
+    "login": "Prisijungti",
+    "errors": {
+      "usernameRequired": "Vartotojo vardas yra privalomas",
+      "passwordRequired": "Slaptažodis yra privalomas",
+      "rateLimit": "Viršytos nustatytos ribos. Pabandykite vėliau.",
+      "loginFailed": "Prisijungti nepavyko",
+      "unknownError": "Nežinoma klaida. Patikrinkite įrašus.",
+      "webUnknownError": "Nežinoma klaida. Patikrinkite konsolės įrašus."
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/camera.json b/web/public/locales/lt/components/camera.json
new file mode 100644
index 000000000..11639ade2
--- /dev/null
+++ b/web/public/locales/lt/components/camera.json
@@ -0,0 +1,22 @@
+{
+  "group": {
+    "label": "Kamerų Grupės",
+    "add": "Sukurti Kamerų Grupę",
+    "edit": "Modifikuoti Kamerų Grupę",
+    "delete": {
+      "label": "Ištrinti Kamerų Grupę",
+      "confirm": {
+        "title": "Patvirtinti ištrynimą",
+        "desc": "Ar tikrai norite ištrinti šią kamerų grupę <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Pavadinimas",
+      "placeholder": "Įveskite pavadinimą…",
+      "errorMessage": {
+        "mustLeastCharacters": "Kamerų grupės pavadinimas turi būti bent 2 simbolių.",
+        "exists": "Kamerų grupės pavadinimas jau egzistuoja."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/dialog.json b/web/public/locales/lt/components/dialog.json
new file mode 100644
index 000000000..4feb8d583
--- /dev/null
+++ b/web/public/locales/lt/components/dialog.json
@@ -0,0 +1,25 @@
+{
+  "restart": {
+    "title": "Ar įsitikinę kad norite perkrauti Frigate?",
+    "button": "Perkrauti",
+    "restarting": {
+      "title": "Frigate Persikrauna",
+      "content": "Šis puslapis persikraus už {{countdown}} sekundžių.",
+      "button": "Priverstinai Perkrauti Dabar"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "ask_a": "Ar šis objektas yra <code>{{label}}</code>?",
+          "ask_an": "Ar šis objektas yra <code>{{label}}</code>?",
+          "label": "Patvirtinti šią etiketę į Frigate Plus"
+        }
+      },
+      "submitToPlus": {
+        "label": "Pateiktį į Frigate+"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/filter.json b/web/public/locales/lt/components/filter.json
new file mode 100644
index 000000000..fff4ed16b
--- /dev/null
+++ b/web/public/locales/lt/components/filter.json
@@ -0,0 +1,19 @@
+{
+  "filter": "Filtras",
+  "labels": {
+    "label": "Etiketės",
+    "all": {
+      "title": "Visos Etiketės",
+      "short": "Etiketės"
+    },
+    "count_one": "{{count}} Etiketė",
+    "count_other": "{{count}} Etiketės"
+  },
+  "zones": {
+    "label": "Zonos",
+    "all": {
+      "title": "Visos Zonos",
+      "short": "Zonos"
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/icons.json b/web/public/locales/lt/components/icons.json
new file mode 100644
index 000000000..82dadb382
--- /dev/null
+++ b/web/public/locales/lt/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Pasirinkti ikoną",
+    "search": {
+      "placeholder": "Surasti ikoną…"
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/input.json b/web/public/locales/lt/components/input.json
new file mode 100644
index 000000000..6d3ff7261
--- /dev/null
+++ b/web/public/locales/lt/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Parsisiųsti Video",
+      "toast": {
+        "success": "Jūsų peržiūros elemento parsisiuntimas pradėtas."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/lt/components/player.json b/web/public/locales/lt/components/player.json
new file mode 100644
index 000000000..4924c6cad
--- /dev/null
+++ b/web/public/locales/lt/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Šiam laiko tarpui įrašų nerasta",
+  "noPreviewFound": "Peržiūrų nerasta",
+  "noPreviewFoundFor": "Peržiūrų nerasta {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Pateikti šį kadrą į Frigate+?",
+    "submit": "Pateikti"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ar naujesni yra privalomi šiam tiesioginės transliacijos tipui.",
+  "streamOffline": {
+    "title": "Transliacija nepasiekiama",
+    "desc": "Jokių transliacijos kadrų negauta iš {{cameraName}}<code>detect</code>, patikrinkite klaidų sąrašus"
+  },
+  "cameraDisabled": "Kamera yra išjungta",
+  "stats": {
+    "streamType": {
+      "title": "Transliacijos Tipas:",
+      "short": "Tipas"
+    },
+    "bandwidth": {
+      "title": "Pralaidumas:",
+      "short": "Pralaidumas"
+    },
+    "latency": {
+      "title": "Vėlavimas:",
+      "value": "{{seconds}} sekundžių",
+      "short": {
+        "title": "Vėlavimas",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Iš viso Kadrų:",
+    "droppedFrames": {
+      "title": "Pamestų Kadrų:",
+      "short": {
+        "title": "Pamesti",
+        "value": "{{droppedFrames}} kadrai"
+      }
+    },
+    "decodedFrames": "Dekoduoti Kadrai:",
+    "droppedFrameRate": "Pamestų Kadrų Dažnis:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Kadras sėkmingai pateiktas į Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Nepavyko pateikti kadro į Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/lt/objects.json b/web/public/locales/lt/objects.json
new file mode 100644
index 000000000..bc7499b61
--- /dev/null
+++ b/web/public/locales/lt/objects.json
@@ -0,0 +1,118 @@
+{
+  "person": "Žmogus",
+  "bicycle": "Dviratis",
+  "car": "Automobilis",
+  "motorcycle": "Motociklas",
+  "airplane": "Lėktuvas",
+  "bus": "Autobusas",
+  "train": "Traukinys",
+  "boat": "Valtis",
+  "traffic_light": "Šviesoforas",
+  "fire_hydrant": "Hidrantas",
+  "street_sign": "Kelio ženklas",
+  "stop_sign": "Stop ženklas",
+  "parking_meter": "Stovėjimo automatas",
+  "bench": "Suoliukas",
+  "bird": "Paukštis",
+  "cat": "Katė",
+  "dog": "Šuo",
+  "horse": "Arklys",
+  "sheep": "Avis",
+  "cow": "Karvė",
+  "elephant": "Dramblys",
+  "bear": "Lokys",
+  "zebra": "Zebras",
+  "giraffe": "Žirafa",
+  "hat": "Kepurė",
+  "backpack": "Kuprinė",
+  "umbrella": "Skėtis",
+  "shoe": "Batas",
+  "eye_glasses": "Akiniai",
+  "handbag": "Rankinė",
+  "tie": "Kaklaraštis",
+  "suitcase": "Lagaminas",
+  "frisbee": "Skraidanti lėkštė",
+  "snowboard": "Snieglentė",
+  "skis": "Slidės",
+  "sports_ball": "Sporto Kamuolys",
+  "kite": "Aitvaras",
+  "baseball_bat": "Beisbolo lazda",
+  "baseball_glove": "Beisbolo Pirštinė",
+  "skateboard": "Riedlentė",
+  "surfboard": "Banglentė",
+  "tennis_racket": "Teniso Raketė",
+  "bottle": "Butelis",
+  "plate": "Lėkštė",
+  "wine_glass": "Vyno Taurė",
+  "cup": "Puodelis",
+  "fork": "Šakutė",
+  "knife": "Peilis",
+  "spoon": "Šaukštas",
+  "bowl": "Dubuo",
+  "banana": "Bananas",
+  "apple": "Obuolys",
+  "sandwich": "Sumuštinis",
+  "orange": "Apelsinas",
+  "broccoli": "Brokolis",
+  "carrot": "Morka",
+  "hot_dog": "Hot Dog",
+  "pizza": "Pica",
+  "donut": "Spurga",
+  "cake": "Tortas",
+  "chair": "Kėdė",
+  "couch": "Sofa",
+  "potted_plant": "Pasodintas Augalas",
+  "bed": "Lova",
+  "mirror": "Veidrodis",
+  "dining_table": "Valgomasis Stalas",
+  "window": "Langas",
+  "desk": "Stalas",
+  "toilet": "Tualetas",
+  "door": "Durys",
+  "tv": "TV",
+  "laptop": "Nešiojamasis Kompiuteris",
+  "mouse": "Pelė",
+  "remote": "Nuotolinis valdymo pultas",
+  "keyboard": "Klaviatūra",
+  "cell_phone": "Mobilus Telefonas",
+  "microwave": "Mikrobangų krosnelė",
+  "oven": "Orkaitė",
+  "toaster": "Skrudintuvas",
+  "sink": "Kriauklė",
+  "refrigerator": "Šaldiklis",
+  "blender": "Plakiklis",
+  "book": "Knyga",
+  "clock": "Laikrodis",
+  "vase": "Vaza",
+  "scissors": "Žirklės",
+  "teddy_bear": "Pliušinis Meškiukas",
+  "hair_dryer": "Plaukų Džiovintuvas",
+  "toothbrush": "Dantų šepetėlis",
+  "hair_brush": "Plaukų šepetys",
+  "vehicle": "Mašina",
+  "squirrel": "Voverė",
+  "deer": "Elnias",
+  "animal": "Gyvūnas",
+  "bark": "Lojimas",
+  "fox": "Lapė",
+  "goat": "Ožka",
+  "rabbit": "Triušis",
+  "raccoon": "Meškėnas",
+  "robot_lawnmower": "Robotas Vejapjovė",
+  "waste_bin": "Šiukšliadėžė",
+  "on_demand": "Pagal Poreikį",
+  "face": "Veidas",
+  "license_plate": "Registracijos Numeris",
+  "package": "Pakuotė",
+  "bbq_grill": "BBQ kepsninė",
+  "amazon": "",
+  "usps": "",
+  "ups": "",
+  "fedex": "",
+  "dhl": "",
+  "an_post": "",
+  "purolator": "",
+  "postnl": "",
+  "nzpost": "",
+  "postnord": ""
+}
diff --git a/web/public/locales/lt/views/configEditor.json b/web/public/locales/lt/views/configEditor.json
new file mode 100644
index 000000000..996612c22
--- /dev/null
+++ b/web/public/locales/lt/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Konfiguracijos redaktorius - Frigate",
+  "configEditor": "Konfiguracijos Redaktorius",
+  "copyConfig": "Kopijuoti Konfiguraciją",
+  "saveAndRestart": "Išsaugoti ir Perkrauti",
+  "saveOnly": "Tik Išsaugoti",
+  "confirm": "Išeiti neišsaugant?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguracija nukopijuota į atmintį."
+    },
+    "error": {
+      "savingError": "Klaida išsaugant konfiguraciją"
+    }
+  }
+}
diff --git a/web/public/locales/lt/views/events.json b/web/public/locales/lt/views/events.json
new file mode 100644
index 000000000..97ad49255
--- /dev/null
+++ b/web/public/locales/lt/views/events.json
@@ -0,0 +1,38 @@
+{
+  "motion": {
+    "label": "Judesys",
+    "only": "Tik judesys"
+  },
+  "allCameras": "Visos kameros",
+  "timeline": "Laiko juosta",
+  "timeline.aria": "Pasirink laiko juostą",
+  "events": {
+    "label": "Įvykiai",
+    "aria": "Pasirinkti įvykius",
+    "noFoundForTimePeriod": "Šiam laiko periodui įvykių nėrasta."
+  },
+  "calendarFilter": {
+    "last24Hours": "Paskutinė para"
+  },
+  "selected_one": "{{count}} pasirinktas",
+  "selected_other": "{{count}} pasirinkta",
+  "camera": "Kamera",
+  "alerts": "Įspėjimai",
+  "detections": "Aptikimai",
+  "empty": {
+    "alert": "Nėra pranešimų peržiūrai",
+    "detection": "Nėra aptikimų peržiūrai",
+    "motion": "Duomenų apie judesius nėra"
+  },
+  "documentTitle": "Peržiūros - Frigate",
+  "recordings": {
+    "documentTitle": "Įrašai - Frigate"
+  },
+  "markAsReviewed": "Pažymėti kaip peržiūrėtą",
+  "markTheseItemsAsReviewed": "Pažymėti šiuos įrašus kaip peržiūrėtus",
+  "newReviewItems": {
+    "label": "Pamatyti naujus peržiūros įrašus",
+    "button": "Nauji Įrašai Peržiūrėjimui"
+  },
+  "detected": "aptikta"
+}
diff --git a/web/public/locales/lt/views/explore.json b/web/public/locales/lt/views/explore.json
new file mode 100644
index 000000000..0681c40c7
--- /dev/null
+++ b/web/public/locales/lt/views/explore.json
@@ -0,0 +1,14 @@
+{
+  "documentTitle": "Tyrinėti - Frigate",
+  "generativeAI": "Generatyvinis DI",
+  "exploreMore": "Apžvelgti daugiau {{label}} objektų",
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "startingUp": "Paleidžiama…",
+      "estimatedTime": "Apytikris likęs laikas:"
+    }
+  },
+  "details": {
+    "timestamp": "Laiko žyma"
+  }
+}
diff --git a/web/public/locales/lt/views/exports.json b/web/public/locales/lt/views/exports.json
new file mode 100644
index 000000000..bc2fb2555
--- /dev/null
+++ b/web/public/locales/lt/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Paieška",
+  "documentTitle": "Eksportuoti - Frigate",
+  "noExports": "Eksportuotų įrašų nerasta",
+  "deleteExport": "Ištrinti Eksportuotą Įrašą",
+  "deleteExport.desc": "Esate įsitikine, kad norite ištrinti {{exportName}}?",
+  "editExport": {
+    "title": "Pervadinti Eksportuojamą įrašą",
+    "desc": "Įveskite nauja pavadinimą šiam eksportuojamam įrašui.",
+    "saveExport": "Išsaugoti Eksportuojamą Įrašą"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Nepavyko pervadinti eksportuojamo įrašo: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/lt/views/faceLibrary.json b/web/public/locales/lt/views/faceLibrary.json
new file mode 100644
index 000000000..d4dce21f3
--- /dev/null
+++ b/web/public/locales/lt/views/faceLibrary.json
@@ -0,0 +1,13 @@
+{
+  "description": {
+    "addFace": "Apžiūrėkite naujų kolekcijų pridėjimą prie Veidų Bibliotekos.",
+    "placeholder": "Įveskite pavadinimą šiai kolekcijai",
+    "invalidName": "Netinkamas vardas. Vardai gali turėti tik raides, numerius, tarpus, apostrofus, pabraukimus ir brukšnelius."
+  },
+  "details": {
+    "person": "Žmogus",
+    "face": "Veido detelės",
+    "timestamp": "Laiko žyma",
+    "unknown": "Nežinoma"
+  }
+}
diff --git a/web/public/locales/lt/views/live.json b/web/public/locales/lt/views/live.json
new file mode 100644
index 000000000..5779ff4c9
--- /dev/null
+++ b/web/public/locales/lt/views/live.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "Gyvai - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Tiesiogiai - Frigate",
+  "lowBandwidthMode": "Mažo-pralaidumo Rėžimas",
+  "cameraAudio": {
+    "enable": "Įgalinti Kamerų Garsą",
+    "disable": "Išjungti Kamerų Garsą"
+  },
+  "twoWayTalk": {
+    "enable": "Įgalinti Dvipusį Pokalbį",
+    "disable": "Išjungti Dvipusį Pokalbį"
+  }
+}
diff --git a/web/public/locales/lt/views/recording.json b/web/public/locales/lt/views/recording.json
new file mode 100644
index 000000000..5acee13bc
--- /dev/null
+++ b/web/public/locales/lt/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtras",
+  "export": "Eksportuoti",
+  "calendar": "Kalendorius",
+  "filters": "Filtrai",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Pasriniktas laiko periodas netinkamas",
+      "endTimeMustAfterStartTime": "Pabaigos laikas privalo būti vėlesnis nei pradžios laikas"
+    }
+  }
+}
diff --git a/web/public/locales/lt/views/search.json b/web/public/locales/lt/views/search.json
new file mode 100644
index 000000000..d970b3d2d
--- /dev/null
+++ b/web/public/locales/lt/views/search.json
@@ -0,0 +1,18 @@
+{
+  "search": "Paieška",
+  "savedSearches": "Išsaugotos Paieškos",
+  "searchFor": "Ieškoti {{inputValue}}",
+  "button": {
+    "clear": "Išvalyti paiešką",
+    "save": "Išsaugoti paiešką",
+    "delete": "Ištrinti išsaugotą paiešką",
+    "filterInformation": "Filtruoti informaciją",
+    "filterActive": "Aktyvūs filtrai"
+  },
+  "trackedObjectId": "Sekamo Objekto ID",
+  "filter": {
+    "label": {
+      "cameras": "Kameros"
+    }
+  }
+}
diff --git a/web/public/locales/lt/views/settings.json b/web/public/locales/lt/views/settings.json
new file mode 100644
index 000000000..15a9e53c7
--- /dev/null
+++ b/web/public/locales/lt/views/settings.json
@@ -0,0 +1,12 @@
+{
+  "documentTitle": {
+    "default": "Nustatymai - Frigate",
+    "authentication": "Autentifikavimo Nustatymai - Frigate",
+    "camera": "Kameros Nustatymai - Frigate",
+    "object": "Derinti - Frigate",
+    "general": "Bendrieji Nustatymai - Frigate",
+    "frigatePlus": "Frigate+ Nustatymai - Frigate",
+    "notifications": "Pranešimų Nustatymai - Frigate",
+    "motionTuner": "Judesio Derinimas - Frigate"
+  }
+}
diff --git a/web/public/locales/lt/views/system.json b/web/public/locales/lt/views/system.json
new file mode 100644
index 000000000..fb9784cf7
--- /dev/null
+++ b/web/public/locales/lt/views/system.json
@@ -0,0 +1,19 @@
+{
+  "documentTitle": {
+    "cameras": "Kamerų Statistika - Frigate",
+    "storage": "Saugyklos Statistika - Frigate",
+    "logs": {
+      "frigate": "Frigate Žurnalas - Frigate",
+      "go2rtc": "Go2RTC Žurnalas - Frigate",
+      "nginx": "Nginx Žurnalas - Frigate"
+    },
+    "general": "Bendroji Statistika - Frigate"
+  },
+  "title": "Sistema",
+  "metrics": "Sistemos metrikos",
+  "logs": {
+    "download": {
+      "label": "Parsisiųsti Žurnalą"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/audio.json b/web/public/locales/nb-NO/audio.json
new file mode 100644
index 000000000..289d8273f
--- /dev/null
+++ b/web/public/locales/nb-NO/audio.json
@@ -0,0 +1,429 @@
+{
+  "bird": "Fugl",
+  "door": "Dør",
+  "sink": "Vask",
+  "blender": "Blender",
+  "bicycle": "Sykkel",
+  "motorcycle": "Motorsykkel",
+  "car": "Bil",
+  "bus": "Buss",
+  "train": "Tog",
+  "boat": "Båt",
+  "cat": "Katt",
+  "dog": "Hund",
+  "horse": "Hest",
+  "sheep": "Sau",
+  "skateboard": "Skateboard",
+  "mouse": "Mus",
+  "keyboard": "Tastatur",
+  "clock": "Klokke",
+  "scissors": "Saks",
+  "hair_dryer": "Hårføner",
+  "toothbrush": "Tannbørste",
+  "vehicle": "Kjøretøy",
+  "animal": "Dyr",
+  "bark": "Bjeff",
+  "goat": "Geit",
+  "groan": "Stønn",
+  "throat_clearing": "Kremting",
+  "sneeze": "Nysing",
+  "applause": "Applaus",
+  "chatter": "Skravling",
+  "crowd": "Folkemengde",
+  "bow_wow": "Voff-voff",
+  "livestock": "Husdyr",
+  "clip_clop": "Klipp-klopp",
+  "cluck": "Kakling",
+  "cock_a_doodle_doo": "Kykeliky",
+  "wild_animals": "Ville dyr",
+  "roaring_cats": "Brølende kattedyr",
+  "dogs": "Hunder",
+  "whale_vocalization": "Hval-vokalisering",
+  "strum": "Strumming",
+  "gong": "Gong",
+  "tuning_fork": "Stemmegaffel",
+  "opera": "Opera",
+  "waterfall": "Foss",
+  "motor_vehicle": "Motorvogn",
+  "emergency_vehicle": "Utrykningskjøretøy",
+  "police_car": "Politibil",
+  "rail_transport": "Jernbanetransport",
+  "fixed-wing_aircraft": "Fly med faste vinger",
+  "engine": "Motor",
+  "bathtub": "Badekar",
+  "toilet_flush": "Toalettskylling",
+  "coin": "Mynt",
+  "mechanisms": "Mekanismer",
+  "field_recording": "Feltinnspilling",
+  "speech": "Tale",
+  "babbling": "Babling",
+  "yell": "Rop",
+  "bellow": "Brøl",
+  "whoop": "Jubelrop",
+  "whispering": "Hvisking",
+  "laughter": "Latter",
+  "snicker": "Fnising",
+  "crying": "Gråt",
+  "sigh": "Sukk",
+  "singing": "Sang",
+  "choir": "Kor",
+  "yodeling": "Jodling",
+  "chant": "Sangrop",
+  "mantra": "Mantra",
+  "child_singing": "Barnesang",
+  "synthetic_singing": "Syntetisk sang",
+  "rapping": "Rapping",
+  "humming": "Nynning",
+  "grunt": "Grynt",
+  "whistling": "Plystring",
+  "breathing": "Pusting",
+  "wheeze": "Hvesing",
+  "snoring": "Snorking",
+  "gasp": "Gisp",
+  "pant": "Pesing",
+  "snort": "Snøfting",
+  "cough": "Hoste",
+  "sniff": "Snufs",
+  "run": "Løping",
+  "shuffle": "Sleping (av føtter)",
+  "footsteps": "Fottrinn",
+  "chewing": "Tygging",
+  "biting": "Biting",
+  "gargling": "Gurgling",
+  "stomach_rumble": "Mageknurr",
+  "burping": "Raping",
+  "hiccup": "Hikke",
+  "fart": "Promp",
+  "hands": "Hender",
+  "finger_snapping": "Fingerknipsing",
+  "clapping": "Applaus",
+  "heartbeat": "Hjerteslag",
+  "heart_murmur": "Hjertelyd (unormal)",
+  "cheering": "Jubel",
+  "children_playing": "Barn som leker",
+  "pets": "Kjæledyr",
+  "yip": "Klynk",
+  "howl": "Uling",
+  "growling": "Knurring",
+  "whimper_dog": "Klynking (hund)",
+  "purr": "Malelyd",
+  "meow": "Mjauing",
+  "hiss": "Fres",
+  "caterwaul": "Kattemjau",
+  "neigh": "Vrinsk",
+  "cattle": "Storfe",
+  "moo": "Rauting",
+  "cowbell": "Kubjelle",
+  "pig": "Gris",
+  "oink": "Nøff",
+  "bleat": "Breking",
+  "fowl": "Fjærfe",
+  "chicken": "Kylling",
+  "turkey": "Kalkun",
+  "gobble": "Kalkunlyd",
+  "duck": "And",
+  "quack": "Kvakking",
+  "goose": "Gås",
+  "honk": "Gåselyd",
+  "roar": "Brøl",
+  "chirp": "Kvitre",
+  "squawk": "Skvatring",
+  "pigeon": "Due",
+  "coo": "Kurre",
+  "crow": "Kråke",
+  "caw": "Krah",
+  "owl": "Ugle",
+  "hoot": "Uglelyd",
+  "flapping_wings": "Vingeslag",
+  "rats": "Rotter",
+  "patter": "Tripping",
+  "insect": "Insekt",
+  "cricket": "Gresshoppe",
+  "mosquito": "Mygg",
+  "fly": "Flue",
+  "buzz": "Summing",
+  "frog": "Frosk",
+  "croak": "Kvekking",
+  "snake": "Slange",
+  "rattle": "Ranglelyd",
+  "music": "Musikk",
+  "musical_instrument": "Musikkinstrument",
+  "plucked_string_instrument": "Klimpreinstrument",
+  "guitar": "Gitar",
+  "electric_guitar": "Elektrisk gitar",
+  "bass_guitar": "Bassgitar",
+  "acoustic_guitar": "Akustisk gitar",
+  "steel_guitar": "Steelgitar",
+  "tapping": "Tapping",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolin",
+  "zither": "Siter",
+  "ukulele": "Ukulele",
+  "piano": "Piano",
+  "electric_piano": "Elektrisk piano",
+  "organ": "Orgel",
+  "electronic_organ": "Elektronisk orgel",
+  "hammond_organ": "Hammondorgel",
+  "synthesizer": "Synthesizer",
+  "sampler": "Sampler",
+  "harpsichord": "Cembalo",
+  "percussion": "Perkusjon",
+  "drum_kit": "Trommesett",
+  "drum_machine": "Trommemaskin",
+  "drum": "Tromme",
+  "snare_drum": "Skarptromme",
+  "rimshot": "Slag på trommekanten",
+  "drum_roll": "Trommevirvel",
+  "bass_drum": "Basstromme",
+  "timpani": "Pauker",
+  "tabla": "Tabla",
+  "cymbal": "Symbal",
+  "hi_hat": "Hi-hat",
+  "wood_block": "Treblokk",
+  "tambourine": "Tamburin",
+  "maraca": "Maracas",
+  "tubular_bells": "Rørklokker",
+  "mallet_percussion": "Slagverk med køller",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Steelpan",
+  "orchestra": "Orkester",
+  "brass_instrument": "Messingblåseinstrument",
+  "french_horn": "Valthorn",
+  "trumpet": "Trompet",
+  "trombone": "Trombone",
+  "bowed_string_instrument": "Strykeinstrument",
+  "string_section": "Strykere",
+  "violin": "Fiolin",
+  "pizzicato": "Pizzicato",
+  "cello": "Cello",
+  "double_bass": "Kontrabass",
+  "wind_instrument": "Treblåseinstrument",
+  "flute": "Fløyte",
+  "saxophone": "Saksofon",
+  "clarinet": "Klarinett",
+  "harp": "Harpe",
+  "bell": "Klokke",
+  "church_bell": "Kirkeklokke",
+  "jingle_bell": "Bjelle",
+  "bicycle_bell": "Sykkelbjelle",
+  "chime": "Klokkespill",
+  "wind_chime": "Vindklokke",
+  "harmonica": "Munnspill",
+  "accordion": "Akkordeon",
+  "bagpipes": "Sekkepipe",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Syngeskål",
+  "scratching": "Skraping",
+  "pop_music": "Popmusikk",
+  "hip_hop_music": "Hip-hop musikk",
+  "beatboxing": "Beatboxing",
+  "rock_music": "Rockemusikk",
+  "heavy_metal": "Heavy metal",
+  "punk_rock": "Punkrock",
+  "grunge": "Grunge",
+  "progressive_rock": "Progressiv rock",
+  "rock_and_roll": "Rock and roll",
+  "psychedelic_rock": "Psykedelisk rock",
+  "rhythm_and_blues": "Rhythm and blues",
+  "soul_music": "Soulmusikk",
+  "reggae": "Reggae",
+  "country": "Country",
+  "swing_music": "Swingmusikk",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Folkemusikk",
+  "middle_eastern_music": "Midtøsten-musikk",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Klassisk musikk",
+  "electronic_music": "Elektronisk musikk",
+  "house_music": "House-musikk",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and bass",
+  "electronica": "Electronica",
+  "electronic_dance_music": "Elektronisk dansemusikk",
+  "trance_music": "Trancemusikk",
+  "ambient_music": "Ambient musikk",
+  "music_of_latin_america": "Latinamerikansk musikk",
+  "salsa_music": "Salsamusikk",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Musikk for barn",
+  "new-age_music": "New age-musikk",
+  "vocal_music": "Vokalmusikk",
+  "a_capella": "A cappella",
+  "music_of_africa": "Afrikansk musikk",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Kristelig musikk",
+  "gospel_music": "Gospelmusikk",
+  "music_of_asia": "Asiatisk musikk",
+  "carnatic_music": "Karnatisk musikk",
+  "music_of_bollywood": "Bollywood-musikk",
+  "ska": "Ska",
+  "traditional_music": "Tradisjonell musikk",
+  "independent_music": "Indie-musikk",
+  "song": "Sang",
+  "background_music": "Bakgrunnsmusikk",
+  "theme_music": "Temamusikk",
+  "jingle": "Jingle",
+  "soundtrack_music": "Filmmusikk",
+  "lullaby": "Vuggevise",
+  "video_game_music": "Videospillmusikk",
+  "christmas_music": "Julemusikk",
+  "dance_music": "Dansemusikk",
+  "wedding_music": "Bryllupsmusikk",
+  "happy_music": "Glad musikk",
+  "sad_music": "Trist musikk",
+  "tender_music": "Vakker musikk",
+  "exciting_music": "Spennende musikk",
+  "angry_music": "Sint musikk",
+  "scary_music": "Skummel musikk",
+  "wind": "Vind",
+  "rustling_leaves": "Raslende blader",
+  "wind_noise": "Vindstøy",
+  "thunderstorm": "Tordenvær",
+  "thunder": "Torden",
+  "water": "Vann",
+  "rain": "Regn",
+  "raindrop": "Regndråpe",
+  "rain_on_surface": "Regn på overflate",
+  "stream": "Bekkeleie",
+  "ocean": "Hav",
+  "waves": "Bølger",
+  "steam": "Damp",
+  "gurgling": "Gurgling",
+  "fire": "Brann",
+  "crackle": "Knakking",
+  "sailboat": "Seilbåt",
+  "rowboat": "Robåt",
+  "motorboat": "Motorbåt",
+  "ship": "Skip",
+  "toot": "Tuting",
+  "car_alarm": "Bilalarm",
+  "power_windows": "Elektriske vinduer",
+  "skidding": "Skrens",
+  "tire_squeal": "Hvinende dekk",
+  "car_passing_by": "Bil som kjører forbi",
+  "race_car": "Racerbil",
+  "truck": "Lastebil",
+  "air_brake": "Luftbrems",
+  "air_horn": "Lufthorn",
+  "reversing_beeps": "Ryggesignal",
+  "ice_cream_truck": "Iskrembil",
+  "ambulance": "Ambulanse",
+  "fire_engine": "Brannbil",
+  "aircraft_engine": "Flymotor",
+  "traffic_noise": "Trafikkstøy",
+  "train_whistle": "Togfløyte",
+  "train_horn": "Toghorn",
+  "railroad_car": "Jernbanevogn",
+  "train_wheels_squealing": "Hvinende togskinner",
+  "subway": "T-bane",
+  "aircraft": "Fly",
+  "jet_engine": "Jetmotor",
+  "propeller": "Propell",
+  "helicopter": "Helikopter",
+  "light_engine": "Lett motor",
+  "dental_drill's_drill": "Tannlegebor",
+  "lawn_mower": "Gressklipper",
+  "chainsaw": "Motorsag",
+  "medium_engine": "Middels tung motor",
+  "heavy_engine": "Tung motor",
+  "engine_knocking": "Motorbanking",
+  "engine_starting": "Motorstart",
+  "idling": "Tomgang",
+  "accelerating": "Akselerasjon",
+  "doorbell": "Dørklokke",
+  "ding-dong": "Ding-dong",
+  "sliding_door": "Skyvedør",
+  "slam": "Smell",
+  "knock": "Bank",
+  "tap": "Tapp",
+  "squeak": "Knirk",
+  "cupboard_open_or_close": "Skapdør som åpnes eller lukkes",
+  "drawer_open_or_close": "Skuff som åpnes eller lukkes",
+  "dishes": "Oppvask",
+  "cutlery": "Bestikk",
+  "chopping": "Hugging",
+  "frying": "Steking",
+  "microwave_oven": "Mikrobølgeovn",
+  "water_tap": "Vannkran",
+  "electric_toothbrush": "Elektrisk tannbørste",
+  "vacuum_cleaner": "Støvsuger",
+  "zipper": "Glidelås",
+  "keys_jangling": "Klingende nøkler",
+  "electric_shaver": "Elektrisk barbermaskin",
+  "shuffling_cards": "Kortstokk som stokkes",
+  "typing": "Skriving (på tastatur)",
+  "typewriter": "Skrivemaskin",
+  "computer_keyboard": "Datatastatur",
+  "writing": "Skriving",
+  "alarm": "Alarm",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Telefon som ringer",
+  "ringtone": "Ringetone",
+  "telephone_dialing": "Telefon som slås",
+  "dial_tone": "Summetone",
+  "busy_signal": "Opptattsignal",
+  "alarm_clock": "Vekkerklokke",
+  "siren": "Sirene",
+  "civil_defense_siren": "Luftsirene",
+  "buzzer": "Summer",
+  "smoke_detector": "Røykvarsler",
+  "fire_alarm": "Brannalarm",
+  "foghorn": "Tåkelur",
+  "whistle": "Fløyte",
+  "steam_whistle": "Dampfløyte",
+  "ratchet": "Skralle",
+  "tick": "Tikk",
+  "tick-tock": "Tikk-takk",
+  "gears": "Tannhjul",
+  "pulleys": "Trinser",
+  "sewing_machine": "Symaskin",
+  "mechanical_fan": "Mekanisk vifte",
+  "air_conditioning": "Klimaanlegg",
+  "cash_register": "Kasseapparat",
+  "printer": "Skriver",
+  "single-lens_reflex_camera": "Speilreflekskamera",
+  "camera": "Kamera",
+  "tools": "Verktøy",
+  "hammer": "Hammer",
+  "jackhammer": "Trykkluftbor",
+  "sawing": "Saging",
+  "filing": "Filing",
+  "sanding": "Pussing",
+  "power_tool": "Elektroverktøy",
+  "drill": "Boremaskin",
+  "explosion": "Eksplosjon",
+  "gunshot": "Skudd",
+  "machine_gun": "Maskingevær",
+  "fusillade": "Salver",
+  "artillery_fire": "Artilleriild",
+  "cap_gun": "Leketøyspistol",
+  "fireworks": "Fyrverkeri",
+  "firecracker": "Kinaputt",
+  "burst": "Spreng",
+  "eruption": "Utslipp",
+  "boom": "Drønn",
+  "wood": "Tre",
+  "chop": "Hakk",
+  "splinter": "Splint",
+  "crack": "Sprekk",
+  "glass": "Glass",
+  "chink": "Klirr",
+  "shatter": "Knuse",
+  "silence": "Stillhet",
+  "sound_effect": "Lydeffekt",
+  "environmental_noise": "Miljøstøy",
+  "static": "Statisk støy",
+  "white_noise": "Hvit støy",
+  "pink_noise": "Rosa støy",
+  "television": "Fjernsyn",
+  "radio": "Radio",
+  "scream": "Skrik"
+}
diff --git a/web/public/locales/nb-NO/common.json b/web/public/locales/nb-NO/common.json
new file mode 100644
index 000000000..df446387f
--- /dev/null
+++ b/web/public/locales/nb-NO/common.json
@@ -0,0 +1,268 @@
+{
+  "time": {
+    "yr": "{{time}} år",
+    "year_one": "{{time}} år",
+    "year_other": "{{time}} år",
+    "minute_one": "{{time}} minutt",
+    "minute_other": "{{time}} minutter",
+    "s": "{{time}}s",
+    "second_one": "{{time}} sekund",
+    "second_other": "{{time}} sekunder",
+    "formattedTimestampExcludeSeconds": {
+      "24hour": "%-d. %b, %H:%M",
+      "12hour": "%-d. %b, %I:%M %p"
+    },
+    "untilForTime": "Inntil {{time}}",
+    "untilForRestart": "Inntil Frigate starter på nytt.",
+    "untilRestart": "Inntil omstart",
+    "ago": "{{timeAgo}} siden",
+    "justNow": "Akkurat nå",
+    "today": "I dag",
+    "yesterday": "I går",
+    "last7": "Siste 7 dager",
+    "last14": "Siste 14 dager",
+    "last30": "Siste 30 dager",
+    "thisWeek": "Denne uken",
+    "lastWeek": "Forrige uke",
+    "thisMonth": "Denne måneden",
+    "lastMonth": "Forrige måned",
+    "5minutes": "5 minutter",
+    "10minutes": "10 minutter",
+    "30minutes": "30 minutter",
+    "1hour": "1 time",
+    "12hours": "12 timer",
+    "24hours": "24 timer",
+    "pm": "pm",
+    "am": "am",
+    "mo": "{{time}} mnd",
+    "month_one": "{{time}} måned",
+    "month_other": "{{time}} måneder",
+    "d": "{{time}}d",
+    "day_one": "{{time}} dag",
+    "day_other": "{{time}} dager",
+    "h": "{{time}}t",
+    "hour_one": "{{time}} time",
+    "hour_other": "{{time}} timer",
+    "m": "{{time}}m",
+    "formattedTimestamp": {
+      "12hour": "d. MMM, h:mm:ss aaa",
+      "24hour": "d. MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d. MMM HH:mm:ss"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "%-d. %b %Y, %I:%M %p",
+      "24hour": "%-d. %b %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%-d. %b",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d. MMM, h:mm aaa",
+      "24hour": "d. MMM, HH:mm"
+    },
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d. MMM yyyy, h:mm aaa",
+      "24hour": "d. MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d. MMM",
+    "formattedTimestampMonthDayYear": {
+      "24hour": "d. MMM, yyyy",
+      "12hour": "d. MMM, yyyy"
+    }
+  },
+  "button": {
+    "copy": "Kopier",
+    "delete": "Slett",
+    "apply": "Bruk",
+    "reset": "Tilbakestill",
+    "done": "Ferdig",
+    "enabled": "Aktivert",
+    "enable": "Aktiver",
+    "disabled": "Deaktivert",
+    "disable": "Deaktiver",
+    "save": "Lagre",
+    "saving": "Lagrer…",
+    "cancel": "Avbryt",
+    "close": "Lukk",
+    "back": "Tilbake",
+    "history": "Historikk",
+    "fullscreen": "Fullskjerm",
+    "exitFullscreen": "Avslutt fullskjerm",
+    "pictureInPicture": "Bilde-i-bilde",
+    "twoWayTalk": "Toveis tale",
+    "cameraAudio": "Kameralyd",
+    "on": "PÅ",
+    "off": "AV",
+    "edit": "Rediger",
+    "copyCoordinates": "Kopier koordinater",
+    "yes": "Ja",
+    "no": "Nei",
+    "download": "Last ned",
+    "info": "Info",
+    "suspended": "Suspendert",
+    "unsuspended": "Opphev suspensjon",
+    "play": "Spill av",
+    "unselect": "Fjern valg",
+    "export": "Eksporter",
+    "deleteNow": "Slett nå",
+    "next": "Neste"
+  },
+  "menu": {
+    "help": "Hjelp",
+    "documentation": {
+      "title": "Dokumentasjon",
+      "label": "Frigate-dokumentasjon"
+    },
+    "restart": "Start Frigate på nytt",
+    "live": {
+      "title": "Direkte",
+      "allCameras": "Alle kameraer",
+      "cameras": {
+        "title": "Kameraer",
+        "count_one": "{{count}} kamera",
+        "count_other": "{{count}} kameraer"
+      }
+    },
+    "review": "Inspiser",
+    "explore": "Utforsk",
+    "export": "Eksporter",
+    "uiPlayground": "UI Sandkasse",
+    "faceLibrary": "Ansiktsbibliotek",
+    "user": {
+      "title": "Bruker",
+      "account": "Konto",
+      "current": "Nåværende bruker: {{user}}",
+      "anonymous": "anonym",
+      "logout": "Logg ut",
+      "setPassword": "Angi passord"
+    },
+    "system": "System",
+    "systemMetrics": "Systemmålinger",
+    "configuration": "Konfigurasjon",
+    "systemLogs": "Systemlogger",
+    "settings": "Innstillinger",
+    "configurationEditor": "Rediger konfigurasjonen",
+    "languages": "Språk",
+    "language": {
+      "en": "English (Engelsk)",
+      "zhCN": "简体中文 (Forenklet kinesisk)",
+      "withSystem": {
+        "label": "Bruk systemets språkinnstillinger"
+      },
+      "fr": "Français (Fransk)",
+      "es": "Español (Spansk)",
+      "hi": "हिन्दी (Hindi)",
+      "ar": "العربية (Arabisk)",
+      "pt": "Português (Portugisisk)",
+      "ru": "Русский (Russisk)",
+      "de": "Deutsch (Tysk)",
+      "ja": "日本語 (Japansk)",
+      "tr": "Türkçe (Tyrkisk)",
+      "it": "Italiano (Italiensk)",
+      "nl": "Nederlands (Nederlandsk)",
+      "sv": "Svenska (Svensk)",
+      "cs": "Čeština (Tsjekkisk)",
+      "nb": "Norsk Bokmål",
+      "ko": "한국어 (Koreansk)",
+      "vi": "Tiếng Việt (Vietnamesisk)",
+      "fa": "فارسی (Persisk)",
+      "he": "עברית (Hebraisk)",
+      "el": "Ελληνικά (Gresk)",
+      "ro": "Română (Rumensk)",
+      "hu": "Magyar (Ungarsk)",
+      "fi": "Suomi (Finsk)",
+      "da": "Dansk (Dansk)",
+      "sk": "Slovenčina (Slovensk)",
+      "pl": "Polski (Polsk)",
+      "uk": "Українська (Ukrainsk)",
+      "yue": "粵語 (Kantonesisk)",
+      "th": "ไทย (Thai)",
+      "ca": "Català (Katalansk)"
+    },
+    "appearance": "Utseende",
+    "darkMode": {
+      "label": "Mørk modus",
+      "light": "Lys",
+      "dark": "Mørk",
+      "withSystem": {
+        "label": "Bruk systemets innstillinger for lys eller mørk modus"
+      }
+    },
+    "withSystem": "System",
+    "theme": {
+      "label": "Tema",
+      "blue": "Blå",
+      "green": "Grønn",
+      "nord": "Nord",
+      "red": "Rød",
+      "contrast": "Høy kontrast",
+      "default": "Standard",
+      "highcontrast": "Høy kontrast"
+    }
+  },
+  "pagination": {
+    "next": {
+      "title": "Neste",
+      "label": "Gå til neste side"
+    },
+    "label": "paginering",
+    "previous": {
+      "title": "Forrige",
+      "label": "Gå til forrige side"
+    },
+    "more": "Flere sider"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/t"
+    },
+    "length": {
+      "meters": "meter",
+      "feet": "fot"
+    }
+  },
+  "label": {
+    "back": "Gå tilbake"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Nettadresse kopiert til utklippstavlen.",
+    "save": {
+      "title": "Lagre",
+      "error": {
+        "title": "Kunne ikke lagre endringer i konfigurasjonen: {{errorMessage}}",
+        "noMessage": "Kunne ikke lagre endringer i konfigurasjonen"
+      }
+    }
+  },
+  "role": {
+    "title": "Rolle",
+    "admin": "Administrator",
+    "viewer": "Visningsbruker",
+    "desc": "Administratorer har full tilgang til alle funksjoner i Frigate brukergrensesnittet. Visningsbrukere er begrenset til å se kameraer, inspisere elementer og se historiske opptak."
+  },
+  "accessDenied": {
+    "documentTitle": "Ingen tilgang – Frigate",
+    "title": "Ingen tilgang",
+    "desc": "Du har ikke tillatelse til å vise denne siden."
+  },
+  "notFound": {
+    "documentTitle": "Ikke funnet – Frigate",
+    "title": "404",
+    "desc": "Siden ble ikke funnet"
+  },
+  "selectItem": "Velg {{item}}"
+}
diff --git a/web/public/locales/nb-NO/components/auth.json b/web/public/locales/nb-NO/components/auth.json
new file mode 100644
index 000000000..caf6a2ca6
--- /dev/null
+++ b/web/public/locales/nb-NO/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Brukernavn",
+    "password": "Passord",
+    "login": "Logg inn",
+    "errors": {
+      "usernameRequired": "Brukernavn er påkrevd",
+      "passwordRequired": "Passord er påkrevd",
+      "rateLimit": "Grense for antall forsøk overskredet. Prøv igjen senere.",
+      "loginFailed": "Innlogging mislyktes",
+      "unknownError": "Ukjent feil. Sjekk loggene.",
+      "webUnknownError": "Ukjent feil. Sjekk konsoll-loggene."
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/components/camera.json b/web/public/locales/nb-NO/components/camera.json
new file mode 100644
index 000000000..d8735926e
--- /dev/null
+++ b/web/public/locales/nb-NO/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kameragrupper",
+    "name": {
+      "placeholder": "Skriv inn et navn…",
+      "errorMessage": {
+        "mustLeastCharacters": "Navnet på kameragruppen må være minst 2 tegn.",
+        "exists": "Navnet på kameragruppen finnes allerede.",
+        "nameMustNotPeriod": "Navnet på kameragruppen kan ikke inneholde punktum.",
+        "invalid": "Ugyldig navn på kameragruppe."
+      },
+      "label": "Navn"
+    },
+    "camera": {
+      "setting": {
+        "streamMethod": {
+          "method": {
+            "continuousStreaming": {
+              "label": "Kontinuerlig strømming",
+              "desc": {
+                "title": "Kamerabildet vil alltid være en direktestrøm når det vises på dashbordet, selv om ingen aktivitet oppdages.",
+                "warning": "Kontinuerlig strømming kan føre til høy båndbreddebruk og ytelsesproblemer. Bruk med forsiktighet."
+              }
+            },
+            "noStreaming": {
+              "label": "Ingen strømming",
+              "desc": "Kamerabilder vil bare oppdateres én gang i minuttet, og ingen direktestrømming vil finne sted."
+            },
+            "smartStreaming": {
+              "label": "Smart strømming (anbefalt)",
+              "desc": "Smart strømming oppdaterer kamerabilder én gang i minuttet når ingen aktivitet oppdages, for å spare båndbredde og ressurser. Når aktivitet oppdages, byttes bildet sømløst til direktestrøm."
+            }
+          },
+          "label": "Strømmemetode",
+          "placeholder": "Velg en strømmemetode"
+        },
+        "compatibilityMode": {
+          "label": "Kompatibilitetsmodus",
+          "desc": "Aktiver dette alternativet kun hvis kameraets direktestrøm viser fargeforstyrrelser og har en diagonal linje på høyre side av bildet."
+        },
+        "label": "Innstillinger for kamerastrømming",
+        "title": "{{cameraName}} strømmeinnstillinger",
+        "desc": "Endre direktestrømmingsalternativene for denne kameragruppens dashbord. <em>Disse innstillingene er spesifikke for enhet/nettleser.</em>",
+        "audioIsAvailable": "Lyd er tilgjengelig for denne strømmen",
+        "audioIsUnavailable": "Lyd er ikke tilgjengelig for denne strømmen",
+        "audio": {
+          "tips": {
+            "title": "Lyd må komme fra kameraet ditt og konfigureres i go2rtc for denne strømmen.",
+            "document": "Se dokumentasjonen "
+          }
+        },
+        "stream": "Strøm",
+        "placeholder": "Velg en strøm"
+      }
+    },
+    "add": "Legg til kameragruppe",
+    "edit": "Rediger kameragruppe",
+    "delete": {
+      "label": "Slett kameragruppe",
+      "confirm": {
+        "title": "Bekreft sletting",
+        "desc": "Er du sikker på at du vil slette kameragruppen <em>{{name}}</em>?"
+      }
+    },
+    "cameras": {
+      "label": "Kameraer",
+      "desc": "Velg kameraer for denne gruppen."
+    },
+    "icon": "Ikon",
+    "success": "Kameragruppen ({{name}}) er lagret."
+  },
+  "debug": {
+    "options": {
+      "label": "Innstillinger",
+      "title": "Alternativer",
+      "showOptions": "Vis alternativer",
+      "hideOptions": "Skjul alternativer"
+    },
+    "boundingBox": "Omsluttende boks",
+    "timestamp": "Tidsstempel",
+    "zones": "Soner",
+    "mask": "Maske",
+    "motion": "Bevegelse",
+    "regions": "Regioner"
+  }
+}
diff --git a/web/public/locales/nb-NO/components/dialog.json b/web/public/locales/nb-NO/components/dialog.json
new file mode 100644
index 000000000..93a65c99d
--- /dev/null
+++ b/web/public/locales/nb-NO/components/dialog.json
@@ -0,0 +1,123 @@
+{
+  "restart": {
+    "title": "Er du sikker på at du vil starte Frigate på nytt?",
+    "button": "Start på nytt",
+    "restarting": {
+      "title": "Frigate starter på nytt",
+      "button": "Tving omlasting nå",
+      "content": "Denne siden vil lastes inn på nytt om {{countdown}} sekunder."
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Send til Frigate+",
+        "desc": "Objekter på steder du vil unngå er ikke falske positiver. Å sende dem som falske positiver vil forvirre modellen."
+      },
+      "review": {
+        "true": {
+          "label": "Bekreft denne merkelappen for Frigate Plus",
+          "true_one": "Dette er en {{label}}",
+          "true_other": "Dette er en {{label}}"
+        },
+        "state": {
+          "submitted": "Sendt inn"
+        },
+        "false": {
+          "label": "Ikke bekreft denne merkelappen for Frigate Plus",
+          "false_one": "Dette er ikke en {{label}}",
+          "false_other": "Dette er ikke en {{label}}"
+        },
+        "question": {
+          "label": "Bekreft denne merkelappen for Frigate Plus",
+          "ask_an": "Er dette objekt en <code>{{label}}</code>?",
+          "ask_a": "Er dette objektet en <code>{{label}}</code>?",
+          "ask_full": "Er dette objekt en <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Vis i historikk"
+    }
+  },
+  "export": {
+    "time": {
+      "lastHour_one": "Siste time",
+      "lastHour_other": "Siste {{count}} timer",
+      "custom": "Tilpasset",
+      "start": {
+        "title": "Starttid",
+        "label": "Velg starttid"
+      },
+      "fromTimeline": "Velg fra tidslinje",
+      "end": {
+        "title": "Sluttid",
+        "label": "Velg sluttid"
+      }
+    },
+    "toast": {
+      "success": "Eksporten startet. Se filen i /exports-mappen.",
+      "error": {
+        "failed": "Klarte ikke å starte eksport: {{error}}",
+        "noVaildTimeSelected": "Ingen gyldig tidsperiode valgt",
+        "endTimeMustAfterStartTime": "Sluttid må være etter starttid"
+      }
+    },
+    "fromTimeline": {
+      "previewExport": "Forhåndsvis eksport",
+      "saveExport": "Lagre eksport"
+    },
+    "name": {
+      "placeholder": "Gi eksporten et navn"
+    },
+    "select": "Velg",
+    "export": "Eksporter",
+    "selectOrExport": "Velg eller eksporter"
+  },
+  "streaming": {
+    "label": "Strøm",
+    "restreaming": {
+      "disabled": "Restrømming er ikke aktivert for dette kameraet.",
+      "desc": {
+        "readTheDocumentation": "Se dokumentasjonen",
+        "title": "Konfigurer go2rtc for flere direktestrømmingsalternativer og lyd for dette kameraet."
+      }
+    },
+    "showStats": {
+      "label": "Vis strømmestatistikk",
+      "desc": "Aktiver dette alternativet for å vise strømmestatistikk som et overlegg på kamerabildet."
+    },
+    "debugView": "Feilsøkingsvisning"
+  },
+  "search": {
+    "saveSearch": {
+      "button": {
+        "save": {
+          "label": "Lagre dette søket"
+        }
+      },
+      "label": "Lagre søk",
+      "desc": "Skriv inn et navn for dette lagrede søket.",
+      "placeholder": "Skriv inn et navn for søket",
+      "overwrite": "{{searchName}} finnes allerede. Lagring vil overskrive eksisterende verdi.",
+      "success": "Søk ({{searchName}}) er lagret."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Bekreft sletting",
+      "desc": {
+        "selected": "Er du sikker på at du vil slette alle opptak knyttet til dette inspeksjonselementet?<br /><br />Hold inne <em>Shift</em>-tasten for å hoppe over denne dialogen i fremtiden."
+      },
+      "toast": {
+        "success": "Videomaterialet knyttet til de valgte inspeksjonselementene har blitt slettet.",
+        "error": "Kunne ikke slette: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Eksportér",
+      "markAsReviewed": "Merk som inspisert",
+      "deleteNow": "Slett nå"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/components/filter.json b/web/public/locales/nb-NO/components/filter.json
new file mode 100644
index 000000000..5bcbf5d08
--- /dev/null
+++ b/web/public/locales/nb-NO/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "label": "Merkelapper",
+    "all": {
+      "title": "Alle masker / soner",
+      "short": "Merkelapper"
+    },
+    "count": "{{count}} merkelapper",
+    "count_other": "{{count}} Merkelapper",
+    "count_one": "{{count}} Merkelapp"
+  },
+  "features": {
+    "hasVideoClip": "Har et videoklipp",
+    "submittedToFrigatePlus": {
+      "label": "Sendt til Frigate+",
+      "tips": "Du må først filtrere på sporede objekter som har et øyeblikksbilde.<br /><br />Sporede objekter uten et øyeblikksbilde kan ikke sendes til Frigate+."
+    },
+    "label": "Funksjoner",
+    "hasSnapshot": "Har et øyeblikksbilde"
+  },
+  "sort": {
+    "label": "Sorter",
+    "dateAsc": "Dato (Stigende)",
+    "dateDesc": "Dato (Synkende)",
+    "scoreAsc": "Objektpoengsum (Stigende)",
+    "scoreDesc": "Objektpoengsum (Synkende)",
+    "speedAsc": "Estimert hastighet (Stigende)",
+    "speedDesc": "Estimert hastighet (Synkende)",
+    "relevance": "Relevans"
+  },
+  "explore": {
+    "date": {
+      "selectDateBy": {
+        "label": "Velg en dato å filtrere etter"
+      }
+    },
+    "settings": {
+      "title": "Innstillinger",
+      "defaultView": {
+        "title": "Standard visning",
+        "desc": "Når ingen filtre er valgt, vis et sammendrag av de nyeste sporede objektene per merkelapp, eller vis et ufiltrert rutenett.",
+        "summary": "Sammendrag",
+        "unfilteredGrid": "Ufiltrert rutenett"
+      },
+      "gridColumns": {
+        "title": "Rutenett kolonner",
+        "desc": "Velg antall kolonner i rutenettvisningen."
+      },
+      "searchSource": {
+        "label": "Søkekilde",
+        "desc": "Velg om du vil søke i bildene eller beskrivelsene av de sporede objektene dine.",
+        "options": {
+          "thumbnailImage": "Miniatyrbilde",
+          "description": "Beskrivelse"
+        }
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtrer loggnivå",
+    "filterBySeverity": "Filtrer logger etter alvorlighetsgrad",
+    "loading": {
+      "title": "Laster inn",
+      "desc": "Når loggvinduet rulles til bunnen, strømmes nye logger automatisk etter hvert som de legges til."
+    },
+    "disableLogStreaming": "Deaktiver loggstrømming",
+    "allLogs": "Alle logger"
+  },
+  "trackedObjectDelete": {
+    "title": "Bekreft sletting",
+    "desc": "Sletting av disse {{objectLength}} sporede objektene fjerner øyeblikksbildet, eventuelle lagrede vektorrepresentasjoner og tilhørende objekt livssyklusoppføringer. Opptak av disse sporede objektene i Historikkvisning vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?<br /><br />Hold <em>Shift</em>-tasten for å unngå denne dialogboksen i fremtiden.",
+    "toast": {
+      "success": "Sporede objekter ble slettet.",
+      "error": "Kunne ikke slette sporede objekter: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtrer etter sonemaske"
+  },
+  "recognizedLicensePlates": {
+    "noLicensePlatesFound": "Ingen kjennemerker funnet.",
+    "selectPlatesFromList": "Velg ett eller flere kjennemerker fra listen.",
+    "title": "Gjenkjente kjennemerker",
+    "loadFailed": "Kunne ikke laste inn gjenkjente kjennemerker.",
+    "loading": "Laster inn gjenkjente kjennemerker…",
+    "placeholder": "Skriv for å søke etter kjennemerker…"
+  },
+  "dates": {
+    "all": {
+      "title": "Alle datoer",
+      "short": "Datoer"
+    },
+    "selectPreset": "Velg en forhåndsinnstilling.…"
+  },
+  "more": "Flere filtre",
+  "reset": {
+    "label": "Nullstill filtre til standardverdier"
+  },
+  "timeRange": "Tidsrom",
+  "subLabels": {
+    "label": "Under-Merkelapper",
+    "all": "Alle under-Merkelapper"
+  },
+  "score": "Poengsum",
+  "estimatedSpeed": "Estimert hastighet ({{unit}})",
+  "cameras": {
+    "all": {
+      "title": "Alle kameraer",
+      "short": "Kameraer"
+    },
+    "label": "Kamerafilter"
+  },
+  "review": {
+    "showReviewed": "Vis inspiserte"
+  },
+  "motion": {
+    "showMotionOnly": "Vis kun bevegelse"
+  },
+  "zones": {
+    "label": "Soner",
+    "all": {
+      "title": "Alle soner",
+      "short": "Soner"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/components/icons.json b/web/public/locales/nb-NO/components/icons.json
new file mode 100644
index 000000000..937a8d052
--- /dev/null
+++ b/web/public/locales/nb-NO/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Velg et ikon",
+    "search": {
+      "placeholder": "Søk etter et ikon…"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/components/input.json b/web/public/locales/nb-NO/components/input.json
new file mode 100644
index 000000000..eb03da4fa
--- /dev/null
+++ b/web/public/locales/nb-NO/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Last ned video",
+      "toast": {
+        "success": "Videoen for inspeksjonselementet ditt har startet nedlasting."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/components/player.json b/web/public/locales/nb-NO/components/player.json
new file mode 100644
index 000000000..5396af367
--- /dev/null
+++ b/web/public/locales/nb-NO/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Ingen opptak funnet for dette tidspunktet",
+  "stats": {
+    "streamType": {
+      "short": "Type",
+      "title": "Strømmetype:"
+    },
+    "droppedFrames": {
+      "short": {
+        "title": "Tapt",
+        "value": "{{droppedFrames}} bilder"
+      },
+      "title": "Tapte bilder:"
+    },
+    "bandwidth": {
+      "title": "Båndbredde:",
+      "short": "Båndbredde"
+    },
+    "latency": {
+      "title": "Forsinkelse:",
+      "value": "{{seconds}} sekunder",
+      "short": {
+        "title": "Forsinkelse",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Totalt antall bilder:",
+    "decodedFrames": "Dekodede bilder:",
+    "droppedFrameRate": "Tapte bilder per sekund:"
+  },
+  "noPreviewFound": "Ingen forhåndsvisning funnet",
+  "noPreviewFoundFor": "Ingen forhåndsvisning funnet for {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Send dette bildet til Frigate+?",
+    "submit": "Send"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 eller høyere kreves for denne typen direkte-strømming.",
+  "streamOffline": {
+    "title": "Strømmen er frakoblet",
+    "desc": "Ingen bilder er mottatt på {{cameraName}} <code>detekt</code> strømmen, sjekk feilloggene"
+  },
+  "cameraDisabled": "Kameraet er deaktivert",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Bildet ble sendt til Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Kunne ikke sende bildet til Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/objects.json b/web/public/locales/nb-NO/objects.json
new file mode 100644
index 000000000..d292b63b8
--- /dev/null
+++ b/web/public/locales/nb-NO/objects.json
@@ -0,0 +1,120 @@
+{
+  "motorcycle": "Motorsykkel",
+  "airplane": "Fly",
+  "bus": "Buss",
+  "train": "Tog",
+  "boat": "Båt",
+  "traffic_light": "Trafikklys",
+  "wine_glass": "Vinglass",
+  "cup": "Kopp",
+  "chair": "Stol",
+  "couch": "Sofa",
+  "potted_plant": "Potteplante",
+  "bed": "Seng",
+  "gls": "GLS",
+  "person": "Person",
+  "bicycle": "Sykkel",
+  "car": "Bil",
+  "fire_hydrant": "Brannhydrant",
+  "street_sign": "Gateskilt",
+  "stop_sign": "Stoppskilt",
+  "parking_meter": "Parkeringsautomat",
+  "bench": "Benk",
+  "bird": "Fugl",
+  "cat": "Katt",
+  "dog": "Hund",
+  "horse": "Hest",
+  "sheep": "Sau",
+  "cow": "Ku",
+  "elephant": "Elefant",
+  "bear": "Bjørn",
+  "zebra": "Sebra",
+  "giraffe": "Giraff",
+  "hat": "Hatt",
+  "backpack": "Ryggsekk",
+  "umbrella": "Paraply",
+  "shoe": "Sko",
+  "eye_glasses": "Briller",
+  "handbag": "Håndveske",
+  "tie": "Slips",
+  "suitcase": "Koffert",
+  "frisbee": "Frisbee",
+  "skis": "Ski",
+  "snowboard": "Snøbrett",
+  "sports_ball": "Ball",
+  "kite": "Drage",
+  "baseball_bat": "Baseballkølle",
+  "baseball_glove": "Baseballhanske",
+  "skateboard": "Skateboard",
+  "surfboard": "Surfebrett",
+  "tennis_racket": "Tennisracket",
+  "bottle": "Flaske",
+  "plate": "Tallerken",
+  "fork": "Gaffel",
+  "knife": "Kniv",
+  "spoon": "Skje",
+  "bowl": "Bolle",
+  "banana": "Banan",
+  "apple": "Eple",
+  "broccoli": "Brokkoli",
+  "sandwich": "Sandwich",
+  "orange": "Appelsin",
+  "carrot": "Gulrot",
+  "hot_dog": "Pølse i brød",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "cake": "Kake",
+  "mirror": "Speil",
+  "dining_table": "Spisebord",
+  "window": "Vindu",
+  "desk": "Skrivebord",
+  "toilet": "Toalett",
+  "door": "Dør",
+  "tv": "TV",
+  "laptop": "Bærbar datamaskin",
+  "mouse": "Mus",
+  "remote": "Fjernkontroll",
+  "keyboard": "Tastatur",
+  "cell_phone": "Mobiltelefon",
+  "sink": "Vask",
+  "microwave": "Mikrobølgeovn",
+  "oven": "Ovn",
+  "toaster": "Brødrister",
+  "refrigerator": "Kjøleskap",
+  "blender": "Blender",
+  "book": "Bok",
+  "clock": "Klokke",
+  "vase": "Vase",
+  "scissors": "Saks",
+  "teddy_bear": "Teddybjørn",
+  "hair_dryer": "Hårføner",
+  "toothbrush": "Tannbørste",
+  "hair_brush": "Hårbørste",
+  "vehicle": "Kjøretøy",
+  "squirrel": "Ekorn",
+  "deer": "Hjort",
+  "animal": "Dyr",
+  "bark": "Bjeff",
+  "fox": "Rev",
+  "goat": "Geit",
+  "rabbit": "Kanin",
+  "raccoon": "Vaskebjørn",
+  "robot_lawnmower": "Robotgressklipper",
+  "waste_bin": "Avfallsbeholder",
+  "on_demand": "På forespørsel",
+  "face": "Ansikt",
+  "license_plate": "Kjennemerke",
+  "package": "Pakke",
+  "bbq_grill": "Grill",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Filter",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/nb-NO/views/configEditor.json b/web/public/locales/nb-NO/views/configEditor.json
new file mode 100644
index 000000000..09f0b1c69
--- /dev/null
+++ b/web/public/locales/nb-NO/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Konfigurasjonsredigering - Frigate",
+  "toast": {
+    "error": {
+      "savingError": "Feil ved lagring av konfigurasjon"
+    },
+    "success": {
+      "copyToClipboard": "Konfigurasjonen ble kopiert til utklippstavlen."
+    }
+  },
+  "configEditor": "Konfigurasjonsredigering",
+  "copyConfig": "Kopier konfigurasjonen",
+  "saveAndRestart": "Lagre og omstart",
+  "saveOnly": "Kun lagre",
+  "confirm": "Avslutt uten å lagre?"
+}
diff --git a/web/public/locales/nb-NO/views/events.json b/web/public/locales/nb-NO/views/events.json
new file mode 100644
index 000000000..70d24e20e
--- /dev/null
+++ b/web/public/locales/nb-NO/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "Kamera",
+  "empty": {
+    "alert": "Det er ingen varsler å inspisere",
+    "detection": "Det er ingen deteksjoner å inspisere",
+    "motion": "Ingen bevegelsesdata funnet"
+  },
+  "timeline": "Tidslinje",
+  "events": {
+    "label": "Hendelser",
+    "aria": "Velg hendelser",
+    "noFoundForTimePeriod": "Ingen hendelser funnet for denne tidsperioden."
+  },
+  "newReviewItems": {
+    "label": "Vis nye inspeksjonselementer",
+    "button": "Nye elementer å inspisere"
+  },
+  "alerts": "Varsler",
+  "detections": "Deteksjoner",
+  "motion": {
+    "label": "Bevegelse",
+    "only": "Kun bevegelse"
+  },
+  "allCameras": "Alle kameraer",
+  "timeline.aria": "Velg tidslinje",
+  "documentTitle": "Inspiser - Frigate",
+  "recordings": {
+    "documentTitle": "Opptak - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Siste 24 timer"
+  },
+  "markAsReviewed": "Merk som inspisert",
+  "markTheseItemsAsReviewed": "Merk disse elementene som inspiserte",
+  "selected_one": "{{count}} valgt",
+  "selected_other": "{{count}} valgt",
+  "detected": "detektert"
+}
diff --git a/web/public/locales/nb-NO/views/explore.json b/web/public/locales/nb-NO/views/explore.json
new file mode 100644
index 000000000..e95dbfda2
--- /dev/null
+++ b/web/public/locales/nb-NO/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "documentTitle": "Utforsk - Frigate",
+  "generativeAI": "Generativ AI",
+  "exploreIsUnavailable": {
+    "title": "Utforsk er utilgjengelig",
+    "embeddingsReindexing": {
+      "startingUp": "Starter opp…",
+      "estimatedTime": "Estimert gjenværende tid:",
+      "context": "Utforsk kan brukes etter at reindekseringen av vektorrepresentasjoner for sporede objekter er fullført.",
+      "finishingShortly": "Avsluttes snart",
+      "step": {
+        "thumbnailsEmbedded": "Miniatyrbilder innebygd: ",
+        "descriptionsEmbedded": "Beskrivelser innebygd: ",
+        "trackedObjectsProcessed": "Sporede objekter behandlet: "
+      }
+    },
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Visjonsmodell",
+        "visionModelFeatureExtractor": "Funksjonsekstraktor for visjonsmodell",
+        "textModel": "Tekstmodell",
+        "textTokenizer": "Tekst symbolbygger"
+      },
+      "context": "Frigate laster ned de nødvendige vektorrepresentasjonsmodellene for å støtte funksjonen for semantisk søk. Dette kan ta flere minutter, avhengig av hastigheten på nettverksforbindelsen din.",
+      "tips": {
+        "context": "Du bør vurdere å reindeksere vektorrepresentasjoner for de sporede objektene dine når modellene er lastet ned.",
+        "documentation": "Se dokumentasjonen"
+      },
+      "error": "En feil har oppstått. Sjekk Frigate-loggene."
+    }
+  },
+  "objectLifecycle": {
+    "createObjectMask": "Lag objektmaske",
+    "adjustAnnotationSettings": "Juster annoteringsinnstillinger",
+    "scrollViewTips": "Sveip for å se de viktigste hendelsene i dette objektets livssyklus.",
+    "autoTrackingTips": "Posisjoner for omsluttende boks vil være unøyaktige for kameraer med automatisk sporing.",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} oppdaget",
+      "attribute": {
+        "other": "{{label}} gjenkjent som {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} oppdaget for {{label}}"
+      },
+      "gone": "{{label}} forlot",
+      "heard": "{{label}} hørt",
+      "external": "{{label}} oppdaget",
+      "entered_zone": "{{label}} gikk inn i {{zones}}",
+      "active": "{{label}} ble aktiv",
+      "stationary": "{{label}} ble stasjonær",
+      "header": {
+        "zones": "Soner",
+        "ratio": "Forhold",
+        "area": "Areal"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annoteringsinnstillinger",
+      "showAllZones": {
+        "title": "Vis alle soner",
+        "desc": "Vis alltid soner på bilder der objekter har gått inn i en sone."
+      },
+      "offset": {
+        "documentation": "Se dokumentasjonen ",
+        "label": "Annoteringsforskyvning",
+        "desc": "Disse dataene kommer fra kameraets deteksjonsstrøm, men legges over bilder fra opptaksstrømmen. Det er usannsynlig at de to strømmene er perfekt synkronisert. Som et resultat vil ikke den omsluttende boksen og opptakene stemme perfekt overens. Imidlertid kan feltet <code>annotation_offset</code> brukes til å justere dette.",
+        "millisecondsToOffset": "Millisekunder å forskyve annoteringsdata. <em>Standard: 0</em>",
+        "tips": "TIPS: Tenk deg et hendelsesklipp med en person som går fra venstre til høyre. Hvis den omsluttende boksen i hendelsestidslinjen konsekvent er til venstre for personen, bør verdien reduseres. Tilsvarende, hvis en person går fra venstre til høyre og den omsluttende boksen konsekvent er foran personen, bør verdien økes.",
+        "toast": {
+          "success": "Annoteringsforskyvning for {{camera}} er lagret i konfigurasjonsfilen. Start Frigate på nytt for å bruke endringene dine."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Forrige lysbilde",
+      "next": "Neste lysbilde"
+    },
+    "title": "Objektets livssyklus",
+    "noImageFound": "Ingen bilder funnet for dette tidsstempelet.",
+    "count": "{{first}} av {{second}}",
+    "trackedPoint": "Sporet punkt"
+  },
+  "details": {
+    "item": {
+      "title": "Detaljer for inspeksjonelement",
+      "button": {
+        "share": "Del dette inspeksjonselementet",
+        "viewInExplore": "Vis i Utforsk"
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Under-merkelapp oppdatert med suksess.",
+          "updatedLPR": "Vellykket oppdatering av kjennemerke.",
+          "regenerate": "En ny beskrivelse har blitt anmodet fra {{provider}}. Avhengig av hastigheten til leverandøren din, kan den nye beskrivelsen ta litt tid å regenerere."
+        },
+        "error": {
+          "regenerate": "Feil ved anrop til {{provider}} for en ny beskrivelse: {{errorMessage}}",
+          "updatedLPRFailed": "Oppdatering av kjennemerke feilet: {{errorMessage}}",
+          "updatedSublabelFailed": "Feil ved oppdatering av under-merkelapp: {{errorMessage}}"
+        }
+      },
+      "desc": "Detaljer for inspeksjonselement",
+      "tips": {
+        "mismatch_one": "{{count}} utilgjengelig objekt ble oppdaget og inkludert i dette inspeksjonselementet. Disse objektene kvalifiserte ikke som et varsel eller deteksjon, eller har allerede blitt ryddet opp/slettet.",
+        "mismatch_other": "{{count}} utilgjengelige objekter ble oppdaget og inkludert i dette inspeksjonselementet. Disse objektene kvalifiserte ikke som et varsel eller deteksjon, eller har allerede blitt ryddet opp/slettet.",
+        "hasMissingObjects": "Juster konfigurasjonen hvis du vil at Frigate skal lagre sporede objekter for følgende merkelapper: <em>{{objects}}</em>"
+      }
+    },
+    "topScore": {
+      "info": "Den høyeste poengsummen er den høyeste medianverdi for det sporede objektet, så denne kan avvike fra poengsummen som vises på miniatyrbildet for søkeresultatet.",
+      "label": "Høyeste poengsum"
+    },
+    "estimatedSpeed": "Estimert hastighet",
+    "objects": "Objekter",
+    "button": {
+      "findSimilar": "Finn lignende",
+      "regenerate": {
+        "title": "Regenerer",
+        "label": "Regenerer beskrivelse for sporet objekt"
+      }
+    },
+    "description": {
+      "placeholder": "Beskrivelse av det sporede objektet",
+      "aiTips": "Frigate vil ikke anmode om en beskrivelse fra din generative AI-leverandør før livssyklusen til det sporede objektet er avsluttet.",
+      "label": "Beskrivelse"
+    },
+    "regenerateFromThumbnails": "Regenerer fra miniatyrbilder",
+    "tips": {
+      "descriptionSaved": "Beskrivelse lagret med suksess",
+      "saveDescriptionFailed": "Feil ved lagring av beskrivelse: {{errorMessage}}"
+    },
+    "label": "Merkelapp",
+    "editLPR": {
+      "title": "Rediger kjennemerke",
+      "descNoLabel": "Skriv inn et nytt kjennemerke for dette sporede objekt",
+      "desc": "Skriv inn et nytt kjennemerke for denne {{label}}"
+    },
+    "recognizedLicensePlate": "Gjenkjent kjennemerke",
+    "camera": "Kamera",
+    "zones": "Soner",
+    "timestamp": "Tidsstempel",
+    "expandRegenerationMenu": "Utvid regenereringsmenyen",
+    "regenerateFromSnapshot": "Regenerer fra øyeblikksbilde",
+    "editSubLabel": {
+      "title": "Rediger under-merkelapp",
+      "desc": "Angi en ny under-merkelapp for denne {{label}}",
+      "descNoLabel": "Angi en ny under-merkelapp for dette sporede objektet"
+    },
+    "snapshotScore": {
+      "label": "Øyeblikksbilde poengsum"
+    }
+  },
+  "itemMenu": {
+    "viewInHistory": {
+      "label": "Vis i Historikk",
+      "aria": "Vis i Historikk"
+    },
+    "downloadVideo": {
+      "aria": "Last ned video",
+      "label": "Last ned video"
+    },
+    "downloadSnapshot": {
+      "label": "Last ned øyeblikksbilde",
+      "aria": "Last ned øyeblikksbilde"
+    },
+    "viewObjectLifecycle": {
+      "label": "Vis objektets livssyklus",
+      "aria": "Vis objektets livssyklus"
+    },
+    "findSimilar": {
+      "label": "Finn lignende",
+      "aria": "Finn lignende sporede objekter"
+    },
+    "deleteTrackedObject": {
+      "label": "Slett dette sporede objektet"
+    },
+    "submitToPlus": {
+      "label": "Send til Frigate+",
+      "aria": "Send til Frigate Plus"
+    }
+  },
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Feil ved sletting av sporet objekt: {{errorMessage}}",
+        "success": "Sporet objekt ble slettet med suksess."
+      }
+    },
+    "tooltip": "Samsvarer {{type}} til {{confidence}}%"
+  },
+  "trackedObjectDetails": "Detaljer om sporet objekt",
+  "type": {
+    "details": "detaljer",
+    "snapshot": "øyeblikksbilde",
+    "video": "video",
+    "object_lifecycle": "objektets livssyklus"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Bekreft sletting",
+      "desc": "Sletting av dette sporede objektet fjerner øyeblikksbildet, eventuelle lagrede vektorrepresentasjoner og alle tilknyttede livssykloppføringer for objektet. Opptak av dette sporede objektet i Historikk-visningen vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?"
+    }
+  },
+  "noTrackedObjects": "Fant ingen sporede objekter",
+  "fetchingTrackedObjectsFailed": "Feil ved henting av sporede objekter: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} sporet objekt ",
+  "trackedObjectsCount_other": "{{count}} sporede objekter ",
+  "exploreMore": "Utforsk flere {{label}} objekter"
+}
diff --git a/web/public/locales/nb-NO/views/exports.json b/web/public/locales/nb-NO/views/exports.json
new file mode 100644
index 000000000..2c1fe59a7
--- /dev/null
+++ b/web/public/locales/nb-NO/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Eksport - Frigate",
+  "search": "Søk",
+  "noExports": "Ingen eksporter funnet",
+  "deleteExport": "Slett eksport",
+  "deleteExport.desc": "Er du sikker på at du vil slette {{exportName}}?",
+  "editExport": {
+    "title": "Gi nytt navn til eksport",
+    "desc": "Skriv inn et nytt navn for denne eksporten.",
+    "saveExport": "Lagre eksport"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Kunne ikke gi nytt navn til eksport: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/views/faceLibrary.json b/web/public/locales/nb-NO/views/faceLibrary.json
new file mode 100644
index 000000000..9b5ca0288
--- /dev/null
+++ b/web/public/locales/nb-NO/views/faceLibrary.json
@@ -0,0 +1,100 @@
+{
+  "selectItem": "Velg {{item}}",
+  "description": {
+    "addFace": "Gå gjennom prosessen med å legge til en ny samling i ansiktsbiblioteket.",
+    "placeholder": "Skriv inn et navn for denne samlingen",
+    "invalidName": "Ugyldig navn. Navn kan kun inneholde bokstaver, tall, mellomrom, apostrofer, understreker og bindestreker."
+  },
+  "details": {
+    "person": "Person",
+    "confidence": "Konfidens",
+    "face": "Ansiktsdetaljer",
+    "faceDesc": "Detaljer for sporet objekt som genererte dette ansiktet",
+    "timestamp": "Tidsstempel",
+    "scoreInfo": "Under-merkelappens poengsum er basert på en vektet sum ut ifra hvor sikre gjenkjenningene av ansiktene er, så den kan avvike fra poengsummen som vises på øyeblikksbildet.",
+    "subLabelScore": "Poengsum for under-merkelapp",
+    "unknown": "Ukjent"
+  },
+  "documentTitle": "Ansiktsbibliotek – Frigate",
+  "createFaceLibrary": {
+    "new": "Opprett nytt ansikt",
+    "title": "Opprett samling",
+    "desc": "Opprett en ny samling",
+    "nextSteps": "For å bygge et sterkt grunnlag:<li>Bruk Tren-fanen for å velge og trene på bilder for hver oppdaget person.</li><li>Fokuser på bilder rett forfra for best resultat; unngå å trene bilder som fanger ansikter i vinkel.</li></ul>"
+  },
+  "train": {
+    "aria": "Velg tren",
+    "title": "Tren",
+    "empty": "Det er ingen nylige forsøk på ansiktsgjenkjenning"
+  },
+  "selectFace": "Velg ansikt",
+  "deleteFaceLibrary": {
+    "title": "Slett navn",
+    "desc": "Er du sikker på at du vil slette samlingen {{name}}? Dette vil permanent slette alle tilknyttede ansikter."
+  },
+  "trainFace": "Tren ansikt",
+  "toast": {
+    "error": {
+      "deleteFaceFailed": "Kunne ikke slette: {{errorMessage}}",
+      "uploadingImageFailed": "Kunne ikke laste opp bilde: {{errorMessage}}",
+      "trainFailed": "Kunne ikke trene: {{errorMessage}}",
+      "updateFaceScoreFailed": "Kunne ikke oppdatere ansiktsskåring: {{errorMessage}}",
+      "addFaceLibraryFailed": "Kunne ikke angi ansiktsnavn: {{errorMessage}}",
+      "deleteNameFailed": "Kunne ikke slette navn: {{errorMessage}}",
+      "renameFaceFailed": "Kunne ikke gi nytt navn til ansikt: {{errorMessage}}"
+    },
+    "success": {
+      "deletedFace_one": "Slettet {{count}} ansikt.",
+      "deletedFace_other": "Slettet {{count}} ansikter.",
+      "deletedName_one": "{{count}} ansikt ble slettet.",
+      "deletedName_other": "{{count}} ansikter ble slettet.",
+      "trainedFace": "Ansiktet ble trent.",
+      "updatedFaceScore": "Ansiktsskåring ble oppdatert.",
+      "uploadedImage": "Bildet ble lastet opp.",
+      "addFaceLibrary": "{{name}} ble lagt til i ansiktsbiblioteket!",
+      "renamedFace": "Nytt navn ble gitt til ansikt {{name}}"
+    }
+  },
+  "imageEntry": {
+    "dropActive": "Slipp bildet her…",
+    "dropInstructions": "Dra og slipp et bilde her, eller klikk for å velge",
+    "maxSize": "Maks størrelse: {{size}}MB",
+    "validation": {
+      "selectImage": "Vennligst velg en bildefil."
+    }
+  },
+  "readTheDocs": "Se dokumentasjonen",
+  "button": {
+    "addFace": "Legg til ansikt",
+    "uploadImage": "Last opp bilde",
+    "deleteFaceAttempts": "Slett ansikter",
+    "reprocessFace": "Prosesser ansiktet på nytt",
+    "deleteFace": "Slett ansikt",
+    "renameFace": "Gi nytt navn til ansikt"
+  },
+  "uploadFaceImage": {
+    "desc": "Last opp et bilde for å skanne etter ansikter og inkludere det for {{pageToggle}}",
+    "title": "Last opp ansiktsbilde"
+  },
+  "trainFaceAs": "Tren ansikt som:",
+  "steps": {
+    "faceName": "Skriv inn ansiktsnavn",
+    "uploadFace": "Last opp ansiktsbilde",
+    "nextSteps": "Neste trinn",
+    "description": {
+      "uploadFace": "Last opp et bilde av {{name}} som viser ansiktet deres forfra. Bildet trenger ikke å være beskåret til kun ansiktet."
+    }
+  },
+  "renameFace": {
+    "desc": "Skriv inn et nytt navn for {{name}}",
+    "title": "Gi nytt navn til ansikt"
+  },
+  "collections": "Samlinger",
+  "deleteFaceAttempts": {
+    "title": "Slett ansikter",
+    "desc_one": "Er du sikker på at du vil slette {{count}} ansikt? Denne handlingen kan ikke angres.",
+    "desc_other": "Er du sikker på at du vil slette {{count}} ansikter? Denne handlingen kan ikke angres."
+  },
+  "nofaces": "Ingen ansikter tilgjengelig",
+  "pixels": "{{area}}piksler"
+}
diff --git a/web/public/locales/nb-NO/views/live.json b/web/public/locales/nb-NO/views/live.json
new file mode 100644
index 000000000..2183cebb9
--- /dev/null
+++ b/web/public/locales/nb-NO/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Direkte - Frigate",
+  "lowBandwidthMode": "Lav båndbreddemodus",
+  "documentTitle.withCamera": "{{camera}} - Direkte - Frigate",
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klikk i rammen for å sentrere kameraet",
+        "enable": "Aktiver klikk for å flytte",
+        "disable": "Deaktiver klikk for å flytte"
+      },
+      "left": {
+        "label": "Flytt PTZ-kameraet til venstre"
+      },
+      "up": {
+        "label": "Flytt PTZ-kameraet opp"
+      },
+      "down": {
+        "label": "Flytt PTZ-kameraet ned"
+      },
+      "right": {
+        "label": "Flytt PTZ-kameraet til høyre"
+      }
+    },
+    "presets": "PTZ-kamera forhåndsinnstillinger",
+    "zoom": {
+      "in": {
+        "label": "Zoom inn på PTZ-kameraet"
+      },
+      "out": {
+        "label": "Zoom ut på PTZ-kameraet"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Klikk i rammen for å sentrere PTZ-kameraet"
+      }
+    }
+  },
+  "camera": {
+    "enable": "Aktiver kamera",
+    "disable": "Deaktiver kamera"
+  },
+  "snapshots": {
+    "enable": "Aktiver øyeblikksbilder",
+    "disable": "Deaktiver øyeblikksbilder"
+  },
+  "audioDetect": {
+    "enable": "Aktiver lydregistrering",
+    "disable": "Deaktiver lydregistrering"
+  },
+  "autotracking": {
+    "enable": "Aktiver automatisk sporing",
+    "disable": "Deaktiver automatisk sporing"
+  },
+  "manualRecording": {
+    "tips": "Start en manuell hendelse basert på kameraets innstillinger for opptaksbevaring.",
+    "playInBackground": {
+      "label": "Spill av i bakgrunnen",
+      "desc": "Aktiver dette alternativet for å fortsette strømming når spilleren er skjult."
+    },
+    "showStats": {
+      "label": "Vis statistikk",
+      "desc": "Aktiver dette alternativet for å vise strømmestatistikk som et overlegg på kamerastrømmen."
+    },
+    "started": "Startet manuelt opptak på forespørsel.",
+    "end": "Avslutt opptak på forespørsel",
+    "title": "Opptak på forespørsel",
+    "debugView": "Feilsøkingsvisning",
+    "start": "Start opptak på forespørsel",
+    "failedToStart": "Kunne ikke starte manuelt opptak på forespørsel.",
+    "recordDisabledTips": "Siden opptak er deaktivert eller begrenset i konfigurasjonen for dette kameraet, vil kun et øyeblikksbilde bli lagret.",
+    "ended": "Avsluttet manuelt opptak på forespørsel.",
+    "failedToEnd": "Kunne ikke avslutte manuelt opptak på forespørsel."
+  },
+  "audio": "Lyd",
+  "suspend": {
+    "forTime": "Pause i: "
+  },
+  "stream": {
+    "audio": {
+      "tips": {
+        "title": "Lyd må være aktivert på kameraet ditt og konfigurert i go2rtc for denne strømmen.",
+        "documentation": "Se dokumentasjonen "
+      },
+      "available": "Lyd er tilgjengelig for denne strømmen",
+      "unavailable": "Lyd er ikke tilgjengelig for denne strømmen"
+    },
+    "twoWayTalk": {
+      "tips": "Enheten din må støtte funksjonen og WebRTC må være konfigurert for toveis tale.",
+      "tips.documentation": "Se dokumentasjonen ",
+      "available": "Toveis tale er tilgjengelig for denne strømmen",
+      "unavailable": "Toveis tale er ikke tilgjengelig for denne strømmen"
+    },
+    "lowBandwidth": {
+      "tips": "Direktevisning er i lav båndbreddemodus på grunn av buffering eller strømmefeil.",
+      "resetStream": "Tilbakestill strøm"
+    },
+    "title": "Strøm",
+    "playInBackground": {
+      "label": "Spill av i bakgrunnen",
+      "tips": "Aktiver dette alternativet for å fortsette strømming når spilleren er skjult."
+    }
+  },
+  "history": {
+    "label": "Vis historiske opptak"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Alle",
+      "motion": "Bevegelse",
+      "active_objects": "Aktive objekter"
+    },
+    "notAllTips": "Konfigurasjonen for opptaksbevaring for {{source}} er satt til <code>mode: {{effectiveRetainMode}}</code>, så dette manuelle opptaket vil kun beholde segmenter med {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Rediger oppsett",
+    "group": {
+      "label": "Rediger kameragruppe"
+    },
+    "exitEdit": "Avslutt redigering"
+  },
+  "twoWayTalk": {
+    "enable": "Aktiver toveis tale",
+    "disable": "Deaktiver toveis tale"
+  },
+  "cameraAudio": {
+    "enable": "Aktiver kameralyd",
+    "disable": "Deaktiver kameralyd"
+  },
+  "muteCameras": {
+    "enable": "Demp alle kameraer",
+    "disable": "Slå på lyd på alle kameraer"
+  },
+  "detect": {
+    "enable": "Aktiver deteksjon",
+    "disable": "Deaktiver deteksjon"
+  },
+  "recording": {
+    "enable": "Aktiver opptak",
+    "disable": "Deaktiver opptak"
+  },
+  "streamStats": {
+    "enable": "Vis Strømmestatistikk",
+    "disable": "Skjul strømmestatistikk"
+  },
+  "streamingSettings": "Strømmingsinnstillinger",
+  "notifications": "Meldingsvarsler",
+  "cameraSettings": {
+    "title": "{{camera}}-innstillinger",
+    "cameraEnabled": "Kamera aktivert",
+    "objectDetection": "Objektdeteksjon",
+    "recording": "Opptak",
+    "snapshots": "Øyeblikksbilder",
+    "audioDetection": "Lydregistrering",
+    "autotracking": "Automatisk sporing"
+  }
+}
diff --git a/web/public/locales/nb-NO/views/recording.json b/web/public/locales/nb-NO/views/recording.json
new file mode 100644
index 000000000..262eb43b0
--- /dev/null
+++ b/web/public/locales/nb-NO/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filter",
+  "export": "Eksporter",
+  "calendar": "Kalender",
+  "filters": "Filtre",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Ingen gyldig tidsperiode valgt",
+      "endTimeMustAfterStartTime": "Sluttid må være etter starttid"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/views/search.json b/web/public/locales/nb-NO/views/search.json
new file mode 100644
index 000000000..baf25a900
--- /dev/null
+++ b/web/public/locales/nb-NO/views/search.json
@@ -0,0 +1,74 @@
+{
+  "search": "Søk",
+  "savedSearches": "Lagrede søk",
+  "searchFor": "Søk etter {{inputValue}}",
+  "button": {
+    "clear": "Fjern søk",
+    "save": "Lagre søk",
+    "delete": "Slett lagret søk",
+    "filterInformation": "Filterinformasjon",
+    "filterActive": "Filtre aktive"
+  },
+  "filter": {
+    "label": {
+      "cameras": "Kameraer",
+      "labels": "Merkelapper",
+      "search_type": "Søketype",
+      "after": "Etter",
+      "min_score": "Min. poengsum",
+      "max_score": "Maks. poengsum",
+      "min_speed": "Min. hastighet",
+      "zones": "Soner",
+      "sub_labels": "Under-merkelapper",
+      "time_range": "Tidsintervall",
+      "before": "Før",
+      "max_speed": "Maks. hastighet",
+      "recognized_license_plate": "Gjenkjent kjennemerke",
+      "has_clip": "Har videoklipp",
+      "has_snapshot": "Har øyeblikksbilde"
+    },
+    "searchType": {
+      "thumbnail": "Miniatyrbilde",
+      "description": "Beskrivelse"
+    },
+    "toast": {
+      "error": {
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Minimum hastighet 'min_speed' må være mindre enn eller lik maksimum hastighet 'max_speed'.",
+        "beforeDateBeLaterAfter": "Før-datoen 'before' må være senere enn etter-datoen 'after'.",
+        "afterDatebeEarlierBefore": "Etter-datoen 'after' må være tidligere enn før-datoen 'before'.",
+        "minScoreMustBeLessOrEqualMaxScore": "Minimum poengsum 'min_score' må være mindre enn eller lik maksimum poengsum 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Maksimum poengsum 'max_score' må være større enn eller lik minimum poengsum 'min_score'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Maksimum hastighet 'max_speed' må være større enn eller lik minimum hastighet 'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "Hvordan bruke tekstfiltre",
+      "desc": {
+        "text": "Filtre hjelper deg med å begrense søkeresultatene dine. Slik bruker du dem i inndatafeltet:",
+        "example": "Eksempel: <code className=\"text-primary\">cameras:inngangsdør label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Skriv inn et filternavn etterfulgt av et kolon (f.eks. \"cameras:\").</li><li>Velg en verdi fra forslagene eller skriv inn din egen.</li><li>Bruk flere filtre ved å legge dem til etter hverandre med mellomrom imellom.</li><li>Dato-filtre (before: og after:) bruker <em>{{DateFormat}}</em>-formatet.</li><li>Tidsintervall-filteret bruker <em>{{exampleTime}}</em>-formatet.</li><li>Fjern filtre ved å klikke på 'x' ved siden av dem.</li></ul>",
+        "step2": "Velg en verdi fra forslagene eller skriv inn din egen.",
+        "step4": "Dato-filtre (before: and after:) bruker {{DateFormat}} format.",
+        "step5": "Tidsintervall-filter bruker {{exampleTime}} format.",
+        "step6": "Fjern filtre ved å klikke på 'x'en ved siden av dem.",
+        "exampleLabel": "Eksempel:",
+        "step1": "Skriv inn et filter-nøkkelnavn etterfulgt av et kolon (f.eks \"cameras:\").",
+        "step3": "Bruk flere filtre ved å legge dem til en etter en, med mellomrom."
+      }
+    },
+    "header": {
+      "currentFilterType": "Filterverdier",
+      "noFilters": "Filtre",
+      "activeFilters": "Aktive filtre"
+    }
+  },
+  "placeholder": {
+    "search": "Søk…"
+  },
+  "trackedObjectId": "Sporings-ID for objekt",
+  "similaritySearch": {
+    "title": "Søk etter likhet",
+    "active": "Søk etter likhet er aktivt",
+    "clear": "Fjern søk etter likhet"
+  }
+}
diff --git a/web/public/locales/nb-NO/views/settings.json b/web/public/locales/nb-NO/views/settings.json
new file mode 100644
index 000000000..f98f80b23
--- /dev/null
+++ b/web/public/locales/nb-NO/views/settings.json
@@ -0,0 +1,684 @@
+{
+  "documentTitle": {
+    "default": "Innstillinger - Frigate",
+    "authentication": "Autentiseringsinnstillinger - Frigate",
+    "camera": "Kamerainnstillinger - Frigate",
+    "masksAndZones": "Maske- og soneeditor - Frigate",
+    "motionTuner": "Bevegelsesjustering - Frigate",
+    "object": "Test og feilsøk - Frigate",
+    "general": "Generelle innstillinger - Frigate",
+    "classification": "Klassifiseringsinnstillinger - Frigate",
+    "frigatePlus": "Frigate+ innstillinger - Frigate",
+    "notifications": "Meldingsvarsler Innstillinger - Frigate",
+    "enrichments": "Utvidelser Innstillinger - Frigate"
+  },
+  "menu": {
+    "classification": "Klassifisering",
+    "cameras": "Kamerainnstillinger",
+    "masksAndZones": "Masker / Soner",
+    "motionTuner": "Finjustering av bevegelse",
+    "debug": "Test og feilsøk",
+    "users": "Brukere",
+    "frigateplus": "Frigate+",
+    "ui": "Brukergrensesnitt",
+    "notifications": "Meldingsvarsler",
+    "enrichments": "Utvidelser"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Du har ulagrede endringer.",
+      "desc": "Vil du lagre endringene dine før du fortsetter?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Ingen kamera"
+  },
+  "general": {
+    "liveDashboard": {
+      "playAlertVideos": {
+        "label": "Spill av varselvideoer",
+        "desc": "Som standard vises nylige varsler på Direkte-dashbord som små videoer som gjentas. Deaktiver dette alternativet for kun å vise et statisk bilde av nylige varsler på denne enheten/nettleseren."
+      },
+      "title": "Direkte-dashbord",
+      "automaticLiveView": {
+        "label": "Automatisk direktevisning",
+        "desc": "Bytt automatisk til et kameras direktevisning når aktivitet oppdages. Deaktivering av dette valget gjør at statiske kamerabilder i Direkte-dashbord kun oppdateres én gang i minuttet."
+      }
+    },
+    "storedLayouts": {
+      "title": "Lagrede oppsett",
+      "desc": "Kameraplasseringer i en gruppe kan dras og endres. Posisjonene lagres lokalt i nettleseren.",
+      "clearAll": "Fjern alle oppsett"
+    },
+    "recordingsViewer": {
+      "title": "Opptaksvisning",
+      "defaultPlaybackRate": {
+        "label": "Standard avspillingshastighet",
+        "desc": "Standard hastighet for avspilling av opptak."
+      }
+    },
+    "calendar": {
+      "firstWeekday": {
+        "sunday": "Søndag",
+        "label": "Første ukedag",
+        "desc": "Dagen ukene starter på i inspeksjonskalenderen.",
+        "monday": "Mandag"
+      },
+      "title": "Kalender"
+    },
+    "toast": {
+      "success": {
+        "clearStreamingSettings": "Strømmingsinnstillinger for alle kameragrupper ble fjernet.",
+        "clearStoredLayout": "Lagret oppsett for {{cameraName}} ble fjernet"
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Kunne ikke fjerne lagret oppsett: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Kunne ikke fjerne strømmingsinnstillinger: {{errorMessage}}"
+      }
+    },
+    "title": "Generelle innstillinger",
+    "cameraGroupStreaming": {
+      "title": "Strømmingsinnstillinger for kameragrupper",
+      "desc": "Strømmingsinnstillingene lagres lokalt i nettleseren.",
+      "clearAll": "Fjern alle strømmingsinnstillinger"
+    }
+  },
+  "classification": {
+    "semanticSearch": {
+      "title": "Semantisk søk",
+      "desc": "Semantisk søk i Frigate lar deg finne sporede objekter i inspeksjonselementene ved hjelp av enten bildet, en egendefinert tekstbeskrivelse eller en automatisk generert beskrivelse.",
+      "reindexNow": {
+        "confirmTitle": "Bekreft reindeksering",
+        "error": "Kunne ikke starte reindeksering: {{errorMessage}}",
+        "label": "Reindekser nå",
+        "confirmButton": "Reindekser",
+        "success": "Reindeksering startet.",
+        "alreadyInProgress": "Reindeksering pågår allerede.",
+        "desc": "Reindeksering vil regenerere vektorrepresentasjoner for alle sporede objekter. Prosessen kjøres i bakgrunnen, kan belaste CPU-en maksimalt og ta mye tid avhengig av antall sporede objekter.",
+        "confirmDesc": "Er du sikker på at du vil reindeksere vektorrepresentasjoner for alle sporede objekter? Dette vil kjøres i bakgrunnen, men kan bruke all CPU og ta tid. Du kan følge fremdriften på Utforsk-siden."
+      },
+      "readTheDocumentation": "Les dokumentasjonen",
+      "modelSize": {
+        "label": "Modellstørrelse",
+        "small": {
+          "title": "liten",
+          "desc": "Ved å bruke <em>liten</em> brukes en kvantisert modell som bruker mindre RAM og er raskere, med ubetydelig tap av kvalitet for vektorrepresentasjoner."
+        },
+        "large": {
+          "title": "stor",
+          "desc": "Ved å bruke <em>stor</em> brukes hele Jina-modellen og den vil automatisk bruke GPU hvis tilgjengelig."
+        },
+        "desc": "Størrelsen på modellen som brukes for vektorrepresentasjoner for semantiske søk."
+      }
+    },
+    "faceRecognition": {
+      "title": "Ansiktsgjenkjenning",
+      "modelSize": {
+        "small": {
+          "title": "liten",
+          "desc": "<em>Liten</em> bruker en FaceNet-modell for vektorrepresentasjoner som fungerer effektivt på de fleste CPU-er."
+        },
+        "large": {
+          "title": "stor",
+          "desc": "<em>Stor</em> bruker en ArcFace-modell for vektorrepresentasjoner og vil automatisk kjøre på GPU hvis tilgjengelig."
+        },
+        "label": "Modellstørrelse",
+        "desc": "Størrelsen på modellen brukt for ansiktsgjenkjenning."
+      },
+      "readTheDocumentation": "Les dokumentasjonen",
+      "desc": "Ansiktsgjenkjenning lar deg tilordne navn til personer. Når et ansikt gjenkjennes, legges navnet til som under-merkelapp. Denne informasjonen vises i brukergrensesnittet, i filtre, samt i meldingsvarsler."
+    },
+    "licensePlateRecognition": {
+      "title": "Gjenkjenning av kjennemerker",
+      "readTheDocumentation": "Les dokumentasjonen",
+      "desc": "Frigate kan gjenkjenne kjennemerker og automatisk legge inn tall/bokstaver i 'recognized_license_plate'-feltet, eller et kjent navn som under-merkelapp til objekter av typen bil. Vanlig bruk er å lese kjennemerker ved innkjørsel eller på vei."
+    },
+    "title": "Klassifiseringsinnstillinger",
+    "toast": {
+      "success": "Klassifiseringsinnstillinger lagret. Start Frigate på nytt for å bruke endringene.",
+      "error": "Kunne ikke lagre konfigurasjonsendringer: {{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "Artsbestemmelse for fugler",
+      "desc": "Artsbestemmelse identifiserer kjente fugler ved hjelp av en kvantisert TensorFlow-modell. Når en kjent fugl gjenkjennes, legges det vanlige navnet til som en under-merkelapp. Denne informasjonen vises i brukergrensesnittet, i filtre, samt i meldingsvarsler."
+    },
+    "restart_required": "Omstart påkrevd (Klassifiseringsinnstillinger endret)",
+    "unsavedChanges": "Ulagrede endringer i klassifiseringsinnstillinger"
+  },
+  "camera": {
+    "streams": {
+      "desc": "Midlertidig deaktiver et kamera til Frigate startes på nytt. Deaktivering av et kamera stopper Frigates behandling av dette kameraets strømmer fullstendig. Deteksjon, opptak og feilsøking vil være utilgjengelig.<br /> <em>Merk: Dette deaktiverer ikke go2rtc-restrømming.</em>",
+      "title": "Strømmer"
+    },
+    "reviewClassification": {
+      "title": "Inspeksjonssklassifisering",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}}-objekter oppdaget i {{zone}} på {{cameraName}} vises som varsler.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert i {{zone}} på {{cameraName}}, vises som deteksjoner.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert på {{cameraName}}, vises som deteksjoner uavhengig av sone.",
+        "notSelectDetections": "Alle {{detectionsLabels}}-objekter oppdaget i {{zone}} på {{cameraName}} som ikke er kategorisert som Varsler, vises som deteksjoner uavhengig av sone."
+      },
+      "selectAlertsZones": "Velg soner for varsler",
+      "desc": "Frigate kategoriserer inspeksjonselementer som Varsler og Deteksjoner. Som standard regnes alle <em>person</em>- og <em>bil</em>-objekter som Varsler. Du kan finjustere klassifiseringen ved å konfigurere nødvendige soner.",
+      "readTheDocumentation": "Se dokumentasjonen",
+      "noDefinedZones": "Ingen soner er definert for dette kameraet.",
+      "objectAlertsTips": "Alle {{alertsLabels}}-objekter på {{cameraName}} vises som varsler.",
+      "objectDetectionsTips": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert på {{cameraName}}, vises som deteksjoner uavhengig av sone.",
+      "selectDetectionsZones": "Velg soner for deteksjoner",
+      "limitDetections": "Avgrens deteksjoner til bestemte soner",
+      "toast": {
+        "success": "Konfigurasjonen for inspeksjonsklassifisering er lagret. Start Frigate på nytt for å bruke endringer."
+      },
+      "unsavedChanges": "Ulagrede innstillinger for inspeksjonsklassifisering for {{camera}}"
+    },
+    "title": "Kamerainnstillinger",
+    "review": {
+      "title": "Inspeksjon",
+      "desc": "Aktiver/deaktiver varsler og deteksjoner midlertidig for dette kameraet til Frigate startes på nytt. Når deaktivert, vil det ikke genereres nye inspeksjonselementer. ",
+      "alerts": "Varsler ",
+      "detections": "Deteksjoner "
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Alle masker og soner"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Koordinater for {{polyName}} kopiert til utklippstavlen."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Kunne ikke kopiere koordinater til utklippstavlen."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustNotBeSameWithCamera": "Sonenavnet kan ikke være det samme som kameranavnet.",
+          "alreadyExists": "En sone med dette navnet finnes allerede for dette kameraet.",
+          "mustBeAtLeastTwoCharacters": "Sonenavnet må være minst 2 tegn langt.",
+          "mustNotContainPeriod": "Sonenavnet kan ikke inneholde punktum.",
+          "hasIllegalCharacter": "Sonenavnet inneholder ugyldige tegn."
+        }
+      },
+      "distance": {
+        "error": {
+          "mustBeFilled": "Alle avstandsfeltene må fylles ut for å bruke hastighetsestimering.",
+          "text": "Avstanden må være større enn eller lik 0,1."
+        }
+      },
+      "polygonDrawing": {
+        "delete": {
+          "title": "Bekreft sletting",
+          "desc": "Er du sikker på at du vil slette {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} har blitt slettet."
+        },
+        "removeLastPoint": "Fjern siste punkt",
+        "reset": {
+          "label": "Fjern alle punkter"
+        },
+        "snapPoints": {
+          "true": "Fest punkter",
+          "false": "Ikke fest punkter"
+        },
+        "error": {
+          "mustBeFinished": "Tegningen av polygonet må fullføres før lagring."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Treghet må være over 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Oppholdstid må være større enn eller lik 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Terskelverdi for hastighet må være større enn eller lik 0.1."
+        }
+      }
+    },
+    "zones": {
+      "label": "Soner",
+      "documentTitle": "Rediger sone - Frigate",
+      "edit": "Rediger sone",
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkter",
+      "clickDrawPolygon": "Klikk for å tegne et polygon på bildet.",
+      "inertia": {
+        "title": "Treghet",
+        "desc": "Angir hvor mange bilder et objekt må være i en sone før det regnes som en del av sonen. <em>Standard: 3</em>"
+      },
+      "desc": {
+        "title": "Soner lar deg definere et spesifikt område i bildet, slik at du kan bestemme om et objekt er innenfor et bestemt område.",
+        "documentation": "Dokumentasjon"
+      },
+      "add": "Legg til sone",
+      "name": {
+        "title": "Navn",
+        "inputPlaceHolder": "Skriv inn et navn…",
+        "tips": "Navnet må være minst 2 tegn langt og må ikke være det samme som et kamera- eller sone-navn."
+      },
+      "loiteringTime": {
+        "title": "Oppholdstid",
+        "desc": "Setter minimumstid i sekunder som objektet må være i sonen for at den skal aktiveres. <em>Standard: 0</em>"
+      },
+      "objects": {
+        "title": "Objekter",
+        "desc": "Liste over objekter som gjelder for denne sonen."
+      },
+      "allObjects": "Alle objekter",
+      "speedEstimation": {
+        "title": "Hastighetsestimering",
+        "desc": "Aktiver hastighetsestimering for objekter i denne sonen. Sonen må ha nøyaktig 4 punkter.",
+        "docs": "Se dokumentasjonen",
+        "lineADistance": "Linje A avstand ({{unit}})",
+        "lineBDistance": "Linje B avstand ({{unit}})",
+        "lineCDistance": "Linje C avstand ({{unit}})",
+        "lineDDistance": "Linje D avstand ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Hastighetsgrense ({{unit}})",
+        "desc": "Angir en minimumshastighet for objekter for at de skal anses som en del av denne sonen.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Hastighetsestimering er deaktivert for denne sonen. Soner med hastighetsestimering må ha nøyaktig 4 punkter.",
+            "loiteringTimeError": "Soner med oppholdstider større enn 0 bør ikke brukes til hastighetsestimering."
+          }
+        }
+      },
+      "toast": {
+        "success": "Sone ({{zoneName}}) er lagret. Start Frigate på nytt for å bruke endringer."
+      }
+    },
+    "motionMasks": {
+      "label": "Bevegelsesmasker",
+      "desc": {
+        "documentation": "Dokumentasjon",
+        "title": "Bevegelsesmasker brukes til å hindre uønsket type bevegelse fra å utløse deteksjon. For mye maskering kan gjøre det vanskeligere å spore objekter."
+      },
+      "add": "Ny bevegelsesmaske",
+      "documentTitle": "Rediger bevegelsesmaske - Frigate",
+      "edit": "Rediger bevegelsesmaske",
+      "context": {
+        "title": "Bevegelsesmasker brukes til å hindre uønsket type bevegelse fra å utløse deteksjon (eksempel: tregrener, kameratidsstempler). Bevegelsesmasker bør brukes <em>svært sparsomt</em>. For mye maskering vil gjøre det vanskeligere å spore objekter.",
+        "documentation": "Se dokumentasjonen"
+      },
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkter",
+      "clickDrawPolygon": "Klikk for å tegne et polygon på bildet.",
+      "polygonAreaTooLarge": {
+        "title": "Bevegelsesmasken dekker {{polygonArea}}% av kameraets bilde. Store bevegelsesmasker anbefales ikke.",
+        "tips": "Bevegelsesmasker hindrer ikke objektene fra å bli detektert. Du bør bruke en påkrevd sone i stedet.",
+        "documentation": "Se dokumentasjonen"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} er lagret. Start Frigate på nytt for å bruke endringene.",
+          "noName": "Bevegelsesmasken er lagret. Start Frigate på nytt for å bruke endringene."
+        }
+      }
+    },
+    "objectMasks": {
+      "clickDrawPolygon": "Klikk for å tegne et polygon på bildet.",
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkter",
+      "label": "Objektmasker",
+      "documentTitle": "Rediger objektmaske - Frigate",
+      "desc": {
+        "title": "Objektfiltermasker brukes for å filtrere ut falske positiver for en gitt objekttype basert på plassering.",
+        "documentation": "Dokumentasjon"
+      },
+      "add": "Legg til objektmaske",
+      "edit": "Rediger objektmaske",
+      "context": "Objektfiltermasker brukes for å filtrere ut falske positiver for en gitt objekttype basert på plassering.",
+      "objects": {
+        "title": "Objekter",
+        "desc": "Objekttypen som gjelder for denne objektmasken.",
+        "allObjectTypes": "Alle objekttyper"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} er lagret. Start Frigate på nytt for å bruke endringene.",
+          "noName": "Objektmasken er lagret. Start Frigate på nytt for å bruke endringene."
+        }
+      }
+    },
+    "restart_required": "Omstart påkrevd (masker/soner endret)",
+    "motionMaskLabel": "Bevegelsesmaske {{number}}",
+    "objectMaskLabel": "Objektmaske {{number}} ({{label}})"
+  },
+  "motionDetectionTuner": {
+    "title": "Finjustering av bevegelsesdeteksjon",
+    "Threshold": {
+      "title": "Terskel",
+      "desc": "Terskelverdien bestemmer hvor mye endring i en piksels lysstyrke som kreves for å bli betraktet som bevegelse. <em>Standard: 30</em>"
+    },
+    "contourArea": {
+      "title": "Konturområde",
+      "desc": "Konturområdets verdi brukes til å bestemme hvilke grupper av endrede piksler som kvalifiserer som bevegelse. <em>Standard: 10</em>"
+    },
+    "improveContrast": {
+      "desc": "Forbedre kontrasten for mørkere scener. <em>Standard: PÅ</em>",
+      "title": "Forbedre kontrast"
+    },
+    "desc": {
+      "title": "Frigate bruker bevegelsesdeteksjon som en første sjekk for å se om det skjer noe i bildet som er verdt å sjekke med objektdeteksjon.",
+      "documentation": "Les guiden for bevegelsesjustering"
+    },
+    "toast": {
+      "success": "Bevegelsesinnstillingene er lagret."
+    },
+    "unsavedChanges": "Ulagrede endringer i bevegelsesjustering ({{camera}})"
+  },
+  "debug": {
+    "title": "Test og feilsøking",
+    "objectList": "Objektliste",
+    "noObjects": "Ingen objekter",
+    "boundingBoxes": {
+      "title": "Omsluttende bokser",
+      "desc": "Vis omsluttende bokser rundt sporede objekter",
+      "colors": {
+        "label": "Farge på omsluttende bokser for objekt",
+        "info": "<li>Ved oppstart vil forskjellige farger bli tildelt hver objekttype</li><li>En mørkeblå tynn linje indikerer at objektet ikke er detektert på dette tidspunktet</li><li>En grå tynn linje indikerer at objektet er detektert som stasjonært</li><li>En tykk linje indikerer at objektet er under autosporing (når aktivert)</li>"
+      }
+    },
+    "timestamp": {
+      "title": "Tidsstempel",
+      "desc": "Legg et tidsstempel over bildet"
+    },
+    "zones": {
+      "title": "Soner",
+      "desc": "Vis en kontur av alle definerte soner"
+    },
+    "motion": {
+      "desc": "Vis bokser rundt områder der bevegelse er detektert",
+      "tips": "<p><strong>Bevegelsesbokser</strong></p><br><p>Røde bokser vil vises på områder i bildet hvor bevegelse for øyeblikket blir detektert</p>",
+      "title": "Bevegelsesbokser"
+    },
+    "regions": {
+      "tips": "<p><strong>Regionbokser</strong></p><br><p>Lysegrønne bokser vil vises på områder av interesse i bildet som blir sendt til objektdetektoren.</p>",
+      "title": "Regioner",
+      "desc": "Vis en boks for interesseområdet sendt til objektdetektoren"
+    },
+    "objectShapeFilterDrawing": {
+      "document": "Se dokumentasjonen ",
+      "score": "Poengsum",
+      "ratio": "Forhold",
+      "area": "Areal",
+      "title": "Tegning av objektformfilter",
+      "desc": "Tegn et rektangel på bildet for å vise areal- og størrelsesforhold",
+      "tips": "Aktiver dette alternativet for å tegne et rektangel på kamerabildet for å vise areal og størrelsesforholdet. Disse verdiene kan deretter brukes til å sette filterparametere for objektform i konfigurasjonen."
+    },
+    "detectorDesc": "Frigate bruker dine detektorer ({{detectors}}) for å oppdage objekter i kameraets videostrøm.",
+    "desc": "Test og feilsøk viser sporede objekter i sanntid og deres statistikk. Objektlisten viser en tidsforsinket oppsummering av detekterte objekter.",
+    "debugging": "Test og feilsøk",
+    "mask": {
+      "title": "Bevegelsesmasker",
+      "desc": "Vis polygoner for bevegelsesmasker"
+    }
+  },
+  "users": {
+    "title": "Brukere",
+    "management": {
+      "title": "Brukeradministrasjon",
+      "desc": "Administrer brukerprofiler for denne Frigate-instansen."
+    },
+    "addUser": "Legg til bruker",
+    "updatePassword": "Oppdater passord",
+    "toast": {
+      "success": {
+        "deleteUser": "Bruker {{user}} ble slettet",
+        "updatePassword": "Passordet ble oppdatert.",
+        "createUser": "Bruker {{user}} ble opprettet",
+        "roleUpdated": "Rolle oppdatert for {{user}}"
+      },
+      "error": {
+        "deleteUserFailed": "Kunne ikke slette bruker: {{errorMessage}}",
+        "setPasswordFailed": "Kunne ikke lagre passord: {{errorMessage}}",
+        "createUserFailed": "Kunne ikke opprette bruker: {{errorMessage}}",
+        "roleUpdateFailed": "Kunne ikke oppdatere rolle: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "placeholder": "Skriv inn brukernavn",
+          "title": "Brukernavn",
+          "desc": "Bare bokstaver, tall, punktum og understreker tillatt."
+        },
+        "password": {
+          "title": "Passord",
+          "placeholder": "Skriv inn passord",
+          "confirm": {
+            "placeholder": "Bekreft passord",
+            "title": "Bekreft passord"
+          },
+          "strength": {
+            "title": "Passordstyrke: ",
+            "veryStrong": "Veldig sterkt",
+            "weak": "Svakt",
+            "medium": "Medium",
+            "strong": "Sterkt"
+          },
+          "match": "Passordene samsvarer",
+          "notMatch": "Passordene samsvarer ikke"
+        },
+        "newPassword": {
+          "title": "Nytt passord",
+          "placeholder": "Skriv inn nytt passord",
+          "confirm": {
+            "placeholder": "Skriv inn nytt passord igjen"
+          }
+        },
+        "usernameIsRequired": "Brukernavn er påkrevd",
+        "passwordIsRequired": "Passord er påkrevd"
+      },
+      "changeRole": {
+        "desc": "Oppdater tillatelser for <strong>{{username}}</strong>",
+        "title": "Endre brukerrolle",
+        "roleInfo": {
+          "intro": "Velg en passende rolle for denne bruker:",
+          "admin": "Administrator",
+          "adminDesc": "Full tilgang til alle funksjoner.",
+          "viewer": "Visningsbruker",
+          "viewerDesc": "Begrenset til kun Direkte-dashbord, Inspiser, Utforsk og Eksporter."
+        },
+        "select": "Velg en rolle"
+      },
+      "createUser": {
+        "title": "Opprett ny bruker",
+        "desc": "Legg til en ny brukerkonto og spesifiser en rolle for tilgang til Frigate-brukergrensesnittet.",
+        "usernameOnlyInclude": "Brukernavn kan bare inneholde bokstaver, tall, punktum eller _",
+        "confirmPassword": "Vennligst bekreft ditt passord"
+      },
+      "deleteUser": {
+        "title": "Slett bruker",
+        "desc": "Denne handlingen kan ikke angres. Dette vil permanent slette brukerkontoen og fjerne alle tilknyttede data.",
+        "warn": "Er du sikker på at du vil slette <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "updatePassword": "Oppdater passord for {{username}}",
+        "setPassword": "Angi passord",
+        "desc": "Opprett et sterkt passord for å sikre denne kontoen.",
+        "cannotBeEmpty": "Passordet kan ikke være tomt",
+        "doNotMatch": "Passordene samsvarer ikke"
+      }
+    },
+    "table": {
+      "username": "Brukernavn",
+      "actions": "Handlinger",
+      "role": "Rolle",
+      "changeRole": "Endre brukerrolle",
+      "password": "Passord",
+      "deleteUser": "Slett bruker",
+      "noUsers": "Ingen brukere funnet."
+    }
+  },
+  "notification": {
+    "notificationSettings": {
+      "desc": "Frigate kan sende push-varsler til enheten din når den kjører i nettleseren eller er installert som en progressiv webapplikasjon (PWA).",
+      "documentation": "Se dokumentasjonen",
+      "title": "Innstillinger for meldingsvarsler"
+    },
+    "notificationUnavailable": {
+      "documentation": "Se dokumentasjonen",
+      "title": "Meldingsvarsler utilgjengelig",
+      "desc": "Nettleser push-varsler krever et sikkert miljø (<code>https://…</code>). Dette er en nettleserbegrensning. Få tilgang til Frigate på en sikker måte for å bruke meldingsvarsler."
+    },
+    "email": {
+      "title": "E-post",
+      "placeholder": "f.eks. eksempel@email.com",
+      "desc": "En gyldig e-postadresse kreves og vil bli brukt til å varsle deg om det skulle oppstå problemer med push-tjenesten."
+    },
+    "cameras": {
+      "title": "Kameraer",
+      "noCameras": "Ingen kameraer tilgjengelig",
+      "desc": "Velg hvilke kameraer meldingsvarsler skal aktiveres for."
+    },
+    "deviceSpecific": "Enhetsspesifikke innstillinger",
+    "registerDevice": "Registrer denne enheten",
+    "unregisterDevice": "Fjern registrering av enheten",
+    "suspendTime": {
+      "5minutes": "Suspender i 5 minutter",
+      "10minutes": "Suspender i 10 minutter",
+      "30minutes": "Suspender i 30 minutter",
+      "1hour": "Suspender i 1 time",
+      "12hours": "Suspender i 12 timer",
+      "24hours": "Suspender i 24 timer",
+      "untilRestart": "Suspender til omstart",
+      "suspend": "Suspender"
+    },
+    "suspended": "Meldingsvarsler suspendert {{time}}",
+    "toast": {
+      "success": {
+        "registered": "Registrering for meldingsvarsler var vellykket. En omstart av Frigate er nødvendig før noen meldingsvarsler (inkludert et testvarsel) kan sendes.",
+        "settingSaved": "Innstillinger for meldingsvarsler er lagret."
+      },
+      "error": {
+        "registerFailed": "Kunne ikke lagre registrering for meldingsvarsler."
+      }
+    },
+    "globalSettings": {
+      "title": "Globale innstillinger",
+      "desc": "Midlertidig suspender meldingsvarsler for spesifikke kameraer på alle registrerte enheter."
+    },
+    "cancelSuspension": "Avbryt suspensjon",
+    "title": "Meldingsvarsler",
+    "sendTestNotification": "Send en meldingsvarsel for test",
+    "active": "Meldingsvarsler aktivert",
+    "unsavedChanges": "Ulagrede endringer for meldingsvarsler",
+    "unsavedRegistrations": "Ulagrede registreringer for meldingsvarsler"
+  },
+  "frigatePlus": {
+    "apiKey": {
+      "notValidated": "Frigate+ API-nøkkel er ikke detektert eller validert",
+      "title": "Frigate+ API-nøkkel",
+      "validated": "Frigate+ API-nøkkel er detektert og validert",
+      "desc": "Frigate+ API-nøkkelen muliggjør integrasjon med Frigate+ tjenesten.",
+      "plusLink": "Les mer om Frigate+"
+    },
+    "modelInfo": {
+      "trainDate": "Treningsdato",
+      "baseModel": "Basismodell",
+      "loading": "Laster modellinformasjon…",
+      "error": "Kunne ikke laste modellinformasjon",
+      "loadingAvailableModels": "Laster tilgjengelige modeller…",
+      "title": "Modellinformasjon",
+      "modelType": "Modelltype",
+      "supportedDetectors": "Støttede detektorer",
+      "dimensions": "Dimensjoner",
+      "cameras": "Kameraer",
+      "availableModels": "Tilgjengelige modeller",
+      "modelSelect": "Dine tilgjengelige modeller på Frigate+ kan velges her. Merk at bare modeller som er kompatible med din nåværende detektorkonfigurasjon kan velges.",
+      "plusModelType": {
+        "userModel": "Finjustert",
+        "baseModel": "Basismodell"
+      }
+    },
+    "title": "Frigate+ Innstillinger",
+    "snapshotConfig": {
+      "title": "Konfigurasjon av øyeblikksbilde",
+      "desc": "Innsending til Frigate+ krever at både øyeblikksbilder og <code>clean_copy</code>-øyeblikksbilder er aktivert i konfigurasjonen din.",
+      "documentation": "Se dokumentasjonen",
+      "table": {
+        "camera": "Kamera",
+        "snapshots": "Øyeblikksbilder",
+        "cleanCopySnapshots": "<code>clean_copy</code>-øyeblikksbilder"
+      },
+      "cleanCopyWarning": "Noen kameraer har øyeblikksbilder aktivert, men ren kopi er deaktivert. Du må aktivere <code>clean_copy</code> i øyeblikksbilde-konfigurasjonen for å kunne sende bilder fra disse kameraene til Frigate+."
+    },
+    "toast": {
+      "success": "Frigate+ innstillingene er lagret. Start Frigate på nytt for å bruke endringene.",
+      "error": "Kunne ikke lagre konfigurasjonsendringer: {{errorMessage}}"
+    },
+    "restart_required": "Omstart påkrevd (Frigate+ modell endret)",
+    "unsavedChanges": "Ulagrede endringer for Frigate+ innstillinger"
+  },
+  "enrichments": {
+    "title": "Innstillinger for utvidelser",
+    "licensePlateRecognition": {
+      "desc": "Frigate kan gjenkjenne kjennemerker på kjøretøy og automatisk legge til de oppdagede tegnene i feltet \"recognized_license_plate\", eller et kjent navn som en under-merkelapp på objekter av typen bil. Et vanlig brukstilfelle kan være å lese kjennemerker på biler som kjører inn i en innkjørsel eller biler som passerer på en gate.",
+      "title": "Kjennemerke gjenkjenning",
+      "readTheDocumentation": "Se dokumentasjonen"
+    },
+    "birdClassification": {
+      "desc": "Fugleklassifisering identifiserer kjente fugler ved hjelp av en kvantisert TensorFlow-modell. Når en fugl gjenkjennes, vil det vanlige navnet legges til som en under-merkelapp. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
+      "title": "Klassifisering av fugler"
+    },
+    "semanticSearch": {
+      "reindexNow": {
+        "desc": "Reindeksering vil regenerere vektorrepresentasjoner for alle sporede objekter. Denne prosessen kjøres i bakgrunnen og kan maksimere CPU-belastningen, samt ta en del tid avhengig av hvor mange sporede objekter du har.",
+        "confirmButton": "Reindekser",
+        "confirmTitle": "Bekreft reindeksering",
+        "confirmDesc": "Er du sikker på at du vil reindeksere alle vektorrepresentasjoner for sporede objekter? Denne prosessen vil kjøre i bakgrunnen, men den kan maksimere CPU-belastningen og ta en del tid. Du kan følge fremdriften på Utforsk-siden.",
+        "label": "Reindekser nå",
+        "success": "Reindeksering ble startet.",
+        "alreadyInProgress": "Reindeksering pågar allerede.",
+        "error": "Kunne ikke starte reindeksering: {{errorMessage}}"
+      },
+      "modelSize": {
+        "small": {
+          "desc": "Ved å bruke <em>liten</em> benyttes en kvantisert versjon av modellen som bruker mindre RAM og kjører raskere på CPU, med en svært ubetydelig forskjell i kvalitet på vektorrepresentasjoner.",
+          "title": "liten"
+        },
+        "label": "Modellstørrelse",
+        "desc": "Størrelsen på modellen brukt til vektorrepresentasjoner for semantisk søk.",
+        "large": {
+          "title": "stor",
+          "desc": "Ved å bruke <em>stor</em> benyttes den fullstendige Jina-modellen, og den vil automatisk kjøres på GPU dersom tilgjengelig."
+        }
+      },
+      "title": "Semantisk søk",
+      "desc": "Semantisk søk i Frigate lar deg finne sporede objekter i inspeksjonsselementene dine ved å bruke enten selve bildet, en brukerdefinert tekstbeskrivelse eller en automatisk generert beskrivelse.",
+      "readTheDocumentation": "Se dokumentasjonen"
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "small": {
+          "title": "liten",
+          "desc": "Ved å bruke <em>liten</em> benyttes en FaceNet-modell for vektorrepresentasjoner for ansikt som kjører effektivt på de fleste CPU-er."
+        },
+        "label": "Modellstørrelse",
+        "desc": "Størrelsen på modellen brukt til ansiktsgjenkjenning.",
+        "large": {
+          "title": "stor",
+          "desc": "Ved å bruke <em>stor</em> benyttes en ArcFace-modell for vektorrepresentasjoner for ansikt, og den vil automatisk kjøres på GPU dersom tilgjengelig."
+        }
+      },
+      "title": "Ansiktsgjenkjenning",
+      "desc": "Ansiktsgjenkjenning gjør det mulig å tildele navn til personer, og når ansiktet deres gjenkjennes, vil Frigate tildele personens navn som en under-merkelapp. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
+      "readTheDocumentation": "Se dokumentasjonen"
+    },
+    "unsavedChanges": "Ulagrede endringer i innstillinger for utvidelser",
+    "restart_required": "Omstart påkrevd (Innstillinger for utvidelser er endret)",
+    "toast": {
+      "success": "Innstillinger for utvidelser har blitt lagret. Start Frigate på nytt for å bruke endringene.",
+      "error": "Kunne ikke lagre konfigurasjonsendringer: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/nb-NO/views/system.json b/web/public/locales/nb-NO/views/system.json
new file mode 100644
index 000000000..884949bd9
--- /dev/null
+++ b/web/public/locales/nb-NO/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Kamerastatistikk - Frigate",
+    "storage": "Lagringsstatistikk - Frigate",
+    "logs": {
+      "frigate": "Frigate-logger - Frigate",
+      "go2rtc": "Go2RTC-logger - Frigate",
+      "nginx": "Nginx-logger - Frigate"
+    },
+    "general": "Generell statistikk - Frigate",
+    "enrichments": "Statistikk for utvidelser - Frigate"
+  },
+  "logs": {
+    "copy": {
+      "success": "Logger kopiert til utklippstavlen",
+      "error": "Kunne ikke kopiere logger til utklippstavlen",
+      "label": "Kopier til utklippstavle"
+    },
+    "type": {
+      "label": "Type",
+      "timestamp": "Tidsstempel",
+      "tag": "Merke",
+      "message": "Melding"
+    },
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Feil ved henting av logger: {{errorMessage}}",
+        "whileStreamingLogs": "Feil under strømming av logger: {{errorMessage}}"
+      }
+    },
+    "download": {
+      "label": "Last ned logger"
+    },
+    "tips": "Logger strømmer fra serveren"
+  },
+  "general": {
+    "title": "Generelt",
+    "detector": {
+      "inferenceSpeed": "Detektor inferenshastighet",
+      "title": "Detektorer",
+      "cpuUsage": "Detektor CPU-belastning",
+      "memoryUsage": "Detektor minnebruk",
+      "temperature": "Detektor temperatur"
+    },
+    "hardwareInfo": {
+      "gpuMemory": "GPU-minne",
+      "gpuEncoder": "GPU-enkoder",
+      "gpuDecoder": "GPU-dekoder",
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "driver": "Driver: {{driver}}",
+          "cudaComputerCapability": "CUDA beregningsevne: {{cuda_compute}}",
+          "vbios": "VBios-info: {{vbios}}",
+          "title": "Nvidia SMI-utdata",
+          "name": "Navn: {{name}}"
+        },
+        "copyInfo": {
+          "label": "Kopier GPU-informasjon"
+        },
+        "toast": {
+          "success": "GPU-informasjon kopiert til utklippstavlen"
+        },
+        "vainfoOutput": {
+          "title": "Vainfo-utdata",
+          "returnCode": "Returkode: {{code}}",
+          "processOutput": "Prosessutdata:",
+          "processError": "Prosessfeil:"
+        },
+        "closeInfo": {
+          "label": "Lukk GPU-informasjon"
+        }
+      },
+      "title": "Maskinvareinformasjon",
+      "gpuUsage": "GPU-belastning",
+      "npuMemory": "NPU minne",
+      "npuUsage": "NPU belastning"
+    },
+    "otherProcesses": {
+      "title": "Andre prosesser",
+      "processCpuUsage": "Prosessenes CPU-belastning",
+      "processMemoryUsage": "Prosessenes minnebruk"
+    }
+  },
+  "storage": {
+    "overview": "Oversikt",
+    "recordings": {
+      "earliestRecording": "Tidligste opptak tilgjengelig:",
+      "title": "Opptak",
+      "tips": "Denne verdien representerer total lagringsplass brukt av opptakene i Frigates database. Frigate sporer ikke lagringsbruk for alle filer på disken din."
+    },
+    "cameraStorage": {
+      "storageUsed": "Lagringsbruk",
+      "bandwidth": "Båndbredde",
+      "title": "Kameralagring",
+      "camera": "Kamera",
+      "unusedStorageInformation": "Ubrukt lagringsinformasjon",
+      "percentageOfTotalUsed": "Prosentandel av tilgjengelig",
+      "unused": {
+        "title": "Ubrukt",
+        "tips": "Denne verdien representerer kanskje ikke nøyaktig den ledige plassen Frigate har tilgang til, dersom det finnes andre filer lagret på disken. Frigate sporer kun lagring brukt av egne opptak."
+      }
+    },
+    "title": "Lagring"
+  },
+  "cameras": {
+    "info": {
+      "codec": "Kodek:",
+      "resolution": "Oppløsning:",
+      "audio": "Lyd:",
+      "error": "Feil: {{error}}",
+      "cameraProbeInfo": "{{camera}} - kamerainformasjon",
+      "streamDataFromFFPROBE": "Strømmedata er hentet med <code>ffprobe</code>.",
+      "fetching": "Henter kameradata",
+      "stream": "Strøm {{idx}}",
+      "video": "Video:",
+      "fps": "Bilder per sekund:",
+      "unknown": "Ukjent",
+      "tips": {
+        "title": "Kamerainformasjon"
+      },
+      "aspectRatio": "bildeforhold"
+    },
+    "framesAndDetections": "Bilder / Deteksjoner",
+    "title": "Kameraer",
+    "overview": "Oversikt",
+    "label": {
+      "camera": "kamera",
+      "detect": "detektering",
+      "skipped": "forkastet",
+      "ffmpeg": "FFmpeg",
+      "capture": "opptak",
+      "cameraDetectionsPerSecond": "{{camName}} deteksjoner per sekund",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} forkastede deteksjoner per sekund",
+      "cameraFramesPerSecond": "{{camName}} bilder per sekund",
+      "cameraCapture": "{{camName}} opptak",
+      "cameraDetect": "{{camName}} detekt",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "overallDetectionsPerSecond": "totale deteksjoner per sekund",
+      "overallSkippedDetectionsPerSecond": "totalt forkastede deteksjoner per sekund",
+      "overallFramesPerSecond": "totalt bilder per sekund"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Kameradata kopiert til utklippstavlen."
+      },
+      "error": {
+        "unableToProbeCamera": "Kunne ikke hente informasjon fra kamera: {{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "embeddings": {
+      "plate_recognition_speed": "Hastighet for kjennemerkegjenkjenning",
+      "face_embedding_speed": "Hastighet ansikt-vektorrepresentasjon",
+      "text_embedding_speed": "Hastighet tekst-vektorrepresentasjoner",
+      "image_embedding_speed": "Hastighet bilde-vektorrepresentasjoner",
+      "face_recognition_speed": "Hastighet for ansiktsgjenkjenning",
+      "image_embedding": "Bilde-vektorrepresentasjoner",
+      "face_recognition": "Ansiktsgjenkjenning",
+      "text_embedding": "Tekst-vektorrepresentasjoner",
+      "plate_recognition": "Kjennemerke gjenkjenning",
+      "yolov9_plate_detection_speed": "Hastighet for YOLOv9 kjennemerkedeteksjon",
+      "yolov9_plate_detection": "YOLOv9 kjennemerkedeteksjon"
+    },
+    "title": "Utvidelser",
+    "infPerSecond": "Inferenser per sekund"
+  },
+  "title": "System",
+  "metrics": "Systemmålinger",
+  "lastRefreshed": "Sist oppdatert: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} har høy CPU-belastning for FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} har høy CPU-belastning for detektering ({{detectAvg}}%)",
+    "healthy": "Systemet fungerer som det skal",
+    "reindexingEmbeddings": "Reindeksering av vektorrepresentasjoner ({{processed}}% fullført)",
+    "cameraIsOffline": "{{camera}} er frakoblet",
+    "detectIsSlow": "{{detect}} er treg ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} er veldig treg ({{speed}} ms)"
+  }
+}
diff --git a/web/public/locales/nl/audio.json b/web/public/locales/nl/audio.json
new file mode 100644
index 000000000..e99acca9e
--- /dev/null
+++ b/web/public/locales/nl/audio.json
@@ -0,0 +1,429 @@
+{
+  "babbling": "Brabbelen",
+  "bellow": "Brullen",
+  "laughter": "Gelach",
+  "snicker": "Grinniken",
+  "crying": "Huilen",
+  "sigh": "Zucht",
+  "singing": "Zingen",
+  "choir": "Koor",
+  "yodeling": "Jodelen",
+  "mantra": "Mantra",
+  "child_singing": "Zingend kind",
+  "rapping": "Rappen",
+  "breathing": "Ademhaling",
+  "wheeze": "Piepen",
+  "snoring": "Snurken",
+  "gasp": "Snakken naar adem",
+  "pant": "Hijgen",
+  "snort": "Snorren",
+  "sneeze": "Niezen",
+  "shuffle": "Schudden",
+  "footsteps": "Voetstappen",
+  "gargling": "Gorgelen",
+  "stomach_rumble": "Maag rommelt",
+  "burping": "Boeren",
+  "fart": "Scheet",
+  "finger_snapping": "Vingerknippen",
+  "applause": "Applaus",
+  "chatter": "Geklets",
+  "howl": "Huilkreet",
+  "bow_wow": "Woef woef",
+  "growling": "Grommen",
+  "whimper_dog": "Hondengejank",
+  "meow": "Miauw",
+  "hiss": "Sissen",
+  "livestock": "Vee",
+  "horse": "Paard",
+  "clip_clop": "Hoefslagen",
+  "neigh": "Hinniken",
+  "cattle": "Runderen",
+  "moo": "loeien",
+  "cowbell": "Koeienbel",
+  "pig": "Varkens",
+  "oink": "Knorren",
+  "bleat": "Blaten",
+  "chicken": "Kip",
+  "cluck": "Tok",
+  "turkey": "Kalkoen",
+  "quack": "Kwak",
+  "goose": "Gans",
+  "honk": "gakken",
+  "wild_animals": "Wilde dieren",
+  "roaring_cats": "Schreeuwende kat",
+  "roar": "Brul",
+  "bird": "Vogel",
+  "chirp": "Tjilpen",
+  "squawk": "Gekrijs",
+  "pigeon": "Duif",
+  "coo": "Koeren",
+  "crow": "Kraai",
+  "caw": "Kauw",
+  "owl": "Uil",
+  "hoot": "uilengeroep",
+  "flapping_wings": "Flapperende vleugels",
+  "rats": "Ratten",
+  "mouse": "Muis",
+  "patter": "Getrippel",
+  "insect": "Insect",
+  "mosquito": "Mug",
+  "buzz": "Gezoem",
+  "frog": "Kikker",
+  "croak": "Kwaken",
+  "snake": "Slang",
+  "rattle": "Rammel",
+  "music": "Muziek",
+  "plucked_string_instrument": "Snaarinstrument",
+  "guitar": "Gitaar",
+  "electric_guitar": "Elektrische gitaar",
+  "bass_guitar": "Basgitaar",
+  "acoustic_guitar": "Akoestische gitaar",
+  "steel_guitar": "Steel Guitar",
+  "tapping": "Tikken",
+  "strum": "Aanslaan",
+  "sitar": "Sitar",
+  "mandolin": "Mandoline",
+  "zither": "Citer",
+  "sniff": "Snuif",
+  "yell": "Schreeuwen",
+  "whoop": "Gejuich",
+  "chant": "Lied",
+  "whistling": "Gefluit",
+  "hands": "Handen",
+  "sheep": "Schaap",
+  "synthetic_singing": "Synthetisch zingen",
+  "run": "Ren",
+  "humming": "Zoemen",
+  "chewing": "Kauwen",
+  "bark": "Blaffen",
+  "animal": "Dier",
+  "cough": "Hoest",
+  "throat_clearing": "Keel schrapen",
+  "biting": "Bijten",
+  "heart_murmur": "Hartruis",
+  "crowd": "Menigte",
+  "pets": "Huisdieren",
+  "heartbeat": "Hartslag",
+  "children_playing": "Kinderen spelen",
+  "purr": "Spinnen",
+  "speech": "Spraak",
+  "whispering": "Fluisteren",
+  "yip": "Kef",
+  "groan": "Kreunen",
+  "fowl": "Gevogelte",
+  "grunt": "brommend",
+  "cock_a_doodle_doo": "Kukeleku",
+  "cheering": "Juichen",
+  "caterwaul": "Kattengehuil",
+  "hiccup": "Hik",
+  "clapping": "Klappen",
+  "dogs": "Honden",
+  "cat": "Kat",
+  "dog": "Hond",
+  "goat": "Geit",
+  "cricket": "Krekel",
+  "musical_instrument": "Muziek Instrument",
+  "duck": "Eend",
+  "banjo": "Banjo",
+  "gobble": "kalkoenroep",
+  "fly": "Vlieg",
+  "whale_vocalization": "Vocalisatie van walvissen",
+  "keyboard": "Klavier",
+  "piano": "Piano",
+  "ukulele": "Ukulele",
+  "electric_piano": "Elektrische piano",
+  "organ": "Orgel",
+  "sampler": "Sampler",
+  "harpsichord": "Klavecimbel",
+  "percussion": "Slagwerk",
+  "drum_kit": "Drumstel",
+  "snare_drum": "Snaartrommel",
+  "drum_roll": "Tromgeroffel",
+  "bass_drum": "Basdrum",
+  "tabla": "Tabla",
+  "cymbal": "Bekken",
+  "hi_hat": "Hi-Hat",
+  "maraca": "Sambabal",
+  "tubular_bells": "Buisklokken",
+  "mallet_percussion": "Mallet instrumenten",
+  "marimba": "Marimba",
+  "glockenspiel": "Klokkenspel",
+  "steelpan": "Steeldrum",
+  "brass_instrument": "Koperblaasinstrumenten",
+  "french_horn": "Waldhoorn",
+  "trombone": "Trombone",
+  "string_section": "Snaar sectie",
+  "wind_instrument": "Blaasinstrument",
+  "clarinet": "Klarinet",
+  "harp": "Harp",
+  "bell": "Klok",
+  "church_bell": "Kerkklok",
+  "jingle_bell": "Klingelbel",
+  "bicycle_bell": "Fietsbel",
+  "tuning_fork": "Stemvork",
+  "chime": "Bel",
+  "wind_chime": "Windgong",
+  "accordion": "Accordeon",
+  "bagpipes": "Doedelzakken",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Klankschaal",
+  "rock_music": "Rockmuziek",
+  "rhythm_and_blues": "Rhythm-and-blues",
+  "soul_music": "Soulmuziek",
+  "reggae": "Reggae",
+  "country": "Countrymuziek",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "middle_eastern_music": "Midden-Oosterse muziek",
+  "jazz": "Jazz",
+  "cello": "Cello",
+  "swing_music": "Swingmuziek",
+  "gong": "gong",
+  "synthesizer": "Synthesizer",
+  "punk_rock": "Punkrock",
+  "wood_block": "Houten klankblok",
+  "double_bass": "Contrabas",
+  "beatboxing": "Beatbox",
+  "orchestra": "Orkest",
+  "progressive_rock": "Progressieve rock",
+  "pop_music": "Popmuziek",
+  "folk_music": "Volksmuziek",
+  "drum_machine": "Drum",
+  "pizzicato": "Pizzicato",
+  "grunge": "Grunge",
+  "heavy_metal": "Heavy Metal",
+  "timpani": "Pauken",
+  "electronic_organ": "Elektronisch orgel",
+  "trumpet": "Trompet",
+  "hip_hop_music": "Hip-Hop Muziek",
+  "hammond_organ": "Hammondorgel",
+  "drum": "Trommel",
+  "rimshot": "Rimshot",
+  "harmonica": "Mondharmonica",
+  "tambourine": "Tamboerijn",
+  "psychedelic_rock": "Psychedelische rock",
+  "vibraphone": "Vibrafoon",
+  "bowed_string_instrument": "Strijkinstrument",
+  "violin": "Viool",
+  "flute": "Fluit",
+  "saxophone": "Saxofoon",
+  "scratching": "Krabben",
+  "rock_and_roll": "Rock 'n Roll",
+  "disco": "Disco",
+  "classical_music": "Klassieke muziek",
+  "opera": "Opera",
+  "electronic_music": "Elektronische muziek",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum en bas",
+  "electronic_dance_music": "Elektronische dansmuziek",
+  "electronica": "Electronica",
+  "ambient_music": "Ambientmuziek",
+  "house_music": "Housemuziek",
+  "trance_music": "Trance Music",
+  "salsa_music": "Salsamuziek",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_of_bollywood": "Music of Bollywood",
+  "ska": "Ska",
+  "independent_music": "Onafhankelijke muziek",
+  "soundtrack_music": "Soundtrack",
+  "bathtub": "Bad",
+  "keys_jangling": "Sleutels rinkelen",
+  "coin": "Munt",
+  "dial_tone": "Kiestoon",
+  "busy_signal": "In-gesprektoon",
+  "buzzer": "Zoemer",
+  "foghorn": "Misthoorn",
+  "whistle": "Fluiten",
+  "steam_whistle": "Stoomfluit",
+  "ratchet": "Ratel",
+  "gears": "Tandwielen",
+  "air_conditioning": "Airconditioning",
+  "single-lens_reflex_camera": "Spiegelreflexcamera",
+  "machine_gun": "Geweerschot",
+  "fusillade": "Schotenwisseling",
+  "artillery_fire": "Artillerievuur",
+  "firecracker": "Vuurwerkknaller",
+  "burst": "Knal",
+  "boom": "Boem",
+  "chop": "Hout Hakken",
+  "splinter": "Splinter",
+  "chink": "Spleet",
+  "shatter": "Stukslaan",
+  "static": "Statisch geluid",
+  "white_noise": "Witte ruis",
+  "pink_noise": "Roze ruis",
+  "television": "Televisie",
+  "radio": "Radio",
+  "field_recording": "Veldopname",
+  "music_for_children": "Muziek voor kinderen",
+  "vocal_music": "Vocal Music",
+  "a_capella": "A capella",
+  "christian_music": "Christelijke Muziek",
+  "crackle": "Gekraak",
+  "cupboard_open_or_close": "Kast open of dicht",
+  "motor_vehicle": "Motorvoertuig",
+  "police_car": "Politieauto",
+  "knock": "Klop",
+  "music_of_asia": "Muziek uit Azië",
+  "dance_music": "Dansmuziek",
+  "light_engine": "Lichte motor",
+  "frying": "Frituren",
+  "gospel_music": "Gospelmuziek",
+  "ice_cream_truck": "IJscowagen",
+  "engine_starting": "Motor starten",
+  "new-age_music": "New age (muziek)",
+  "wedding_music": "Bruiloftsmuziek",
+  "music_of_africa": "Muziek van Afrika",
+  "thunder": "Donder",
+  "waterfall": "Waterval",
+  "skidding": "Slippen",
+  "truck": "Vrachtwagen",
+  "ambulance": "Ambulance",
+  "jet_engine": "Straalmotor",
+  "lullaby": "Slaapliedje",
+  "sad_music": "Droevige muziek",
+  "video_game_music": "Videogamemuziek",
+  "angry_music": "Boze muziek",
+  "steam": "Stromend water",
+  "vehicle": "Voertuig",
+  "boat": "Boot",
+  "rowboat": "Roeiboot",
+  "emergency_vehicle": "Hulpverleningsvoertuig",
+  "slam": "Slag",
+  "chopping": "Hakken",
+  "happy_music": "Vrolijke muziek",
+  "raindrop": "Regendruppel",
+  "dental_drill's_drill": "Tandartsboor",
+  "scissors": "Schaar",
+  "shuffling_cards": "Kaarten schudden",
+  "printer": "Printer",
+  "afrobeat": "Afrobeat",
+  "traditional_music": "Traditionele muziek",
+  "gurgling": "Gorgelend",
+  "train_wheels_squealing": "Piepende treinwielen",
+  "subway": "Metro",
+  "bicycle": "Fiets",
+  "medium_engine": "Middelgrote motor",
+  "squeak": "Piep",
+  "dishes": "Borden",
+  "zipper": "Rits",
+  "tick-tock": "Ticktack",
+  "race_car": "Raceauto",
+  "railroad_car": "Spoorwagon",
+  "music_of_latin_america": "Muziek uit Latijns-Amerika",
+  "carnatic_music": "Carnatische muziek",
+  "helicopter": "Helikopter",
+  "chainsaw": "Kettingzaag",
+  "ding-dong": "Ding-Dong",
+  "sink": "Wasbak",
+  "wind_noise": "Windgeruis",
+  "wind": "Wind",
+  "sailboat": "Zeilboot",
+  "song": "Liedje",
+  "toot": "Toeteren",
+  "bus": "Bus",
+  "traffic_noise": "Verkeerslawaai",
+  "train_horn": "Treinhoorn",
+  "thunderstorm": "Onweer",
+  "typewriter": "Typemachine",
+  "background_music": "Achtergrondmuziek",
+  "car": "Auto",
+  "ringtone": "Beltoon",
+  "theme_music": "Themamuziek",
+  "sliding_door": "Schuifdeur",
+  "jingle": "Jingle",
+  "waves": "Golven",
+  "stream": "Stromend water",
+  "sewing_machine": "Naaimachine",
+  "mechanical_fan": "Mechanische ventilator",
+  "camera": "Camera",
+  "cap_gun": "Speelgoedpistool",
+  "tender_music": "Tedere muziek",
+  "ship": "Schip",
+  "explosion": "Explosie",
+  "christmas_music": "Kerstmuziek",
+  "microwave_oven": "Magnetron",
+  "toilet_flush": "Toilet doorspoelen",
+  "exciting_music": "Spannende muziek",
+  "scary_music": "Enge muziek",
+  "rustling_leaves": "Ritselende bladeren",
+  "tire_squeal": "Piepende banden",
+  "fire_engine": "Brandweerwagen",
+  "water_tap": "Waterkraan",
+  "water": "Water",
+  "rain": "Regen",
+  "motorcycle": "Motorfiets",
+  "aircraft_engine": "Vliegtuigmotor",
+  "rain_on_surface": "Regen op een oppervlakte",
+  "motorboat": "Motorboot",
+  "car_passing_by": "Passerende auto",
+  "reversing_beeps": "Achteruitrijsignalen",
+  "train": "Trein",
+  "doorbell": "Deurbel",
+  "drawer_open_or_close": "Lade open of dicht",
+  "fire": "Vuur",
+  "power_windows": "Elektrische ramen",
+  "train_whistle": "Treinfluitje",
+  "fixed-wing_aircraft": "Vliegtuig met vaste vleugels",
+  "engine_knocking": "Motorklopgeluid",
+  "ocean": "Oceaan",
+  "rail_transport": "Spoorvervoer",
+  "aircraft": "Vliegtuigen",
+  "car_alarm": "Autoalarm",
+  "idling": "Stationair",
+  "door": "Deur",
+  "air_brake": "Luchtrem",
+  "propeller": "Propeller",
+  "air_horn": "Luchthoorn",
+  "skateboard": "Skateboard",
+  "engine": "Motor",
+  "accelerating": "Versnellen",
+  "blender": "Blender",
+  "gunshot": "Schot",
+  "lawn_mower": "Grasmaaier",
+  "heavy_engine": "Zware motor",
+  "tap": "Tik op",
+  "hair_dryer": "Föhn",
+  "cash_register": "Kassa",
+  "cutlery": "Bestek",
+  "power_tool": "Elektrisch gereedschap",
+  "computer_keyboard": "Computertoetsenbord",
+  "vacuum_cleaner": "Stofzuiger",
+  "tick": "Teek",
+  "alarm": "Alarm",
+  "toothbrush": "Tandenborstel",
+  "electric_shaver": "Scheerapparaat",
+  "writing": "Schrijven",
+  "telephone": "Telefoon",
+  "jackhammer": "Drilboor",
+  "alarm_clock": "Wekker",
+  "civil_defense_siren": "Luchtalarm",
+  "typing": "Typen",
+  "pulleys": "Katrollen",
+  "drill": "Boor",
+  "telephone_dialing": "Telefoonnummer draaien",
+  "telephone_bell_ringing": "Rinkelen van de telefoon",
+  "electric_toothbrush": "Elektrische tandenborstel",
+  "hammer": "Hamer",
+  "sanding": "Schuren",
+  "siren": "Sirene",
+  "smoke_detector": "Rookmelder",
+  "fire_alarm": "Brandalarm",
+  "mechanisms": "Mechanismen",
+  "filing": "Vijlen",
+  "clock": "Klok",
+  "glass": "Glas",
+  "sawing": "Zagen",
+  "tools": "Hulpmiddelen",
+  "wood": "Hout",
+  "fireworks": "Vuurwerk",
+  "eruption": "Uitbarsting",
+  "crack": "Scheur",
+  "environmental_noise": "Omgevingsgeluid",
+  "silence": "Stilte",
+  "sound_effect": "Geluidseffect",
+  "scream": "Schreeuw"
+}
diff --git a/web/public/locales/nl/common.json b/web/public/locales/nl/common.json
new file mode 100644
index 000000000..0af38d8a5
--- /dev/null
+++ b/web/public/locales/nl/common.json
@@ -0,0 +1,268 @@
+{
+  "time": {
+    "untilForTime": "Totdat {{time}}",
+    "untilForRestart": "Totdat Frigate herstart.",
+    "untilRestart": "Tot herstart",
+    "12hours": "12 uur",
+    "lastWeek": "Vorige week",
+    "last7": "Afgelopen 7 dagen",
+    "last30": "Afgelopen 30 dagen",
+    "yr": "{{time}} jaar",
+    "5minutes": "5 minuten",
+    "10minutes": "10 minuten",
+    "24hours": "24 uur",
+    "30minutes": "30 minuten",
+    "ago": "{{timeAgo}} geleden",
+    "justNow": "Zojuist",
+    "today": "Vandaag",
+    "yesterday": "Gisteren",
+    "last14": "Afgelopen 14 dagen",
+    "thisWeek": "Deze week",
+    "thisMonth": "Deze maand",
+    "lastMonth": "Vorige maand",
+    "1hour": "1 uur",
+    "pm": "pm",
+    "am": "am",
+    "year_one": "{{time}} Jaar",
+    "year_other": "{{time}} Jaren",
+    "mo": "{{time}} maand",
+    "month_one": "{{time}} maand",
+    "month_other": "{{time}} maanden",
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ss",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "s": "{{time}}s",
+    "formattedTimestamp": {
+      "12hour": "d MMM, HH:mm:ss",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%-d %b",
+    "d": "{{time}}dag",
+    "day_one": "{{time}} dag",
+    "day_other": "{{time}} dagen",
+    "h": "{{time}}u",
+    "hour_one": "{{time}} uur",
+    "hour_other": "{{time}} uren",
+    "m": "{{time}}min",
+    "formattedTimestampWithYear": {
+      "12hour": "%-d %b %Y, %H:%M",
+      "24hour": "%-d %b %Y, %H:%M"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "24hour": "%-d %b, %H:%M",
+      "12hour": "%-d %b, %H:%M"
+    },
+    "minute_one": "{{time}} minuut",
+    "minute_other": "{{time}} minuten",
+    "second_one": "{{time}} seconde",
+    "second_other": "{{time}} seconden",
+    "formattedTimestampHourMinute": {
+      "24hour": "HH:mm",
+      "12hour": "HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, HH:mm",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-HH-mm-ss",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "HH:mm:ss",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, HH:mm",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM yyyy",
+      "24hour": "d MMM yyyy"
+    }
+  },
+  "button": {
+    "enabled": "Ingeschakeld",
+    "back": "Terug",
+    "apply": "Toepassen",
+    "reset": "Opnieuw instellen",
+    "enable": "Inschakelen",
+    "disabled": "Uitgeschakeld",
+    "cancel": "Annuleren",
+    "close": "Sluiten",
+    "copy": "Kopieer",
+    "done": "Klaar",
+    "saving": "Opslaan…",
+    "disable": "Uitschakelen",
+    "save": "Opslaan",
+    "history": "Geschiedenis",
+    "fullscreen": "Volledig scherm",
+    "pictureInPicture": "Pop-up venster",
+    "twoWayTalk": "Tweerichtingsgesprek",
+    "cameraAudio": "Camera geluid",
+    "on": "aan",
+    "copyCoordinates": "Coördinaten kopiëren",
+    "delete": "Verwijder",
+    "yes": "Ja",
+    "no": "Nee",
+    "suspended": "Opgeschort",
+    "unsuspended": "Heractiveren",
+    "export": "Exporteren",
+    "exitFullscreen": "Verlaat volledig scherm",
+    "play": "Speel",
+    "off": "uit",
+    "info": "Info",
+    "edit": "Bewerken",
+    "download": "Download",
+    "unselect": "Deselecteren",
+    "next": "Volgende",
+    "deleteNow": "Nu verwijderen"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/u"
+    },
+    "length": {
+      "feet": "voet",
+      "meters": "meter"
+    }
+  },
+  "label": {
+    "back": "Ga terug"
+  },
+  "menu": {
+    "system": "Systeem",
+    "systemMetrics": "Systeemstatistieken",
+    "settings": "Instellingen",
+    "configuration": "Configuratie",
+    "systemLogs": "Systeem logboeken",
+    "configurationEditor": "Configuratie bewerker",
+    "languages": "Talen",
+    "language": {
+      "en": "English (Engels)",
+      "zhCN": "简体中文 (Vereenvoudigd Chinees)",
+      "withSystem": {
+        "label": "Gebruik de systeeminstellingen voor de taal"
+      },
+      "ar": "العربية (Arabisch)",
+      "pt": "Português (Portugees)",
+      "ru": "Русский (Russisch)",
+      "de": "Deutsch (Duits)",
+      "tr": "Türkçe (Turks)",
+      "it": "Italiano (Italiaans)",
+      "nl": "Nederlands (Nederlands)",
+      "sv": "Svenska (Zweeds)",
+      "cs": "Čeština (Tsjechisch)",
+      "fa": "فارسی (Perzisch)",
+      "pl": "Polski (Pools)",
+      "he": "עברית (Hebreeuws)",
+      "el": "Ελληνικά (Grieks)",
+      "ro": "Română (Roemeense)",
+      "hu": "Magyar (Hongaars)",
+      "fi": "Suomi (Fins)",
+      "da": "Dansk (Deens)",
+      "sk": "Slovenčina (Slowaaks)",
+      "ko": "한국어 (Koreaans)",
+      "nb": "Norsk Bokmål (Noors Bokmål)",
+      "fr": "Français (Frans)",
+      "uk": "Українська (Oekraïens)",
+      "es": "Español (Spaans)",
+      "vi": "Tiếng Việt (Vietnamees)",
+      "hi": "हिन्दी (Hindi)",
+      "ja": "日本語 (Japans)",
+      "yue": "粵語 (Kantonees)",
+      "th": "ไทย (Thais)",
+      "ca": "Català (Catalaans)"
+    },
+    "darkMode": {
+      "label": "Donkere modus",
+      "light": "Licht",
+      "dark": "Donker",
+      "withSystem": {
+        "label": "Gebruik de systeeminstellingen voor de lichte of donkere modus"
+      }
+    },
+    "appearance": "Opmaak",
+    "theme": {
+      "blue": "Blauw",
+      "contrast": "Hoog contrast",
+      "label": "Thema",
+      "green": "Groen",
+      "nord": "Nord",
+      "red": "Rood",
+      "default": "Standaard",
+      "highcontrast": "Hoog contrast"
+    },
+    "withSystem": "Systeem",
+    "help": "Help",
+    "live": {
+      "title": "Live",
+      "allCameras": "Alle Camera's",
+      "cameras": {
+        "title": "Camera's",
+        "count_one": "{{count}} Camera",
+        "count_other": "{{count}} Camera's"
+      }
+    },
+    "restart": "Herstart Frigate",
+    "documentation": {
+      "title": "Documentatie",
+      "label": "Frigate documentatie"
+    },
+    "review": "Beoordelen",
+    "explore": "Verkennen",
+    "export": "Exporteren",
+    "uiPlayground": "Testgebied voor gebruikersinterface",
+    "faceLibrary": "Gezichtenbibliotheek",
+    "user": {
+      "title": "Gebruik",
+      "current": "Huidige gebruiker: {{user}}",
+      "logout": "Uitloggen",
+      "setPassword": "Wachtwoord instellen",
+      "account": "Account",
+      "anonymous": "anoniem"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL naar klembord gekopieerd.",
+    "save": {
+      "title": "Opslaan",
+      "error": {
+        "title": "Opslaan van configuratiewijzigingen mislukt: {{errorMessage}}",
+        "noMessage": "Het opslaan van configuratiewijzigingen is mislukt"
+      }
+    }
+  },
+  "role": {
+    "title": "Rol",
+    "admin": "Beheerder",
+    "viewer": "Gebruiker",
+    "desc": "Beheerders hebben volledige toegang tot alle functies in de Frigate-interface. Kijkers kunnen alleen camera’s bekijken, items beoordelen en historische beelden terugkijken."
+  },
+  "pagination": {
+    "previous": {
+      "title": "Vorig",
+      "label": "Ga naar de vorige pagina"
+    },
+    "more": "Meer pagina's",
+    "label": "Paginering",
+    "next": {
+      "title": "Volgende",
+      "label": "Ga naar volgende pagina"
+    }
+  },
+  "accessDenied": {
+    "documentTitle": "Toegang geweigerd - Frigate",
+    "desc": "Je hebt geen toestemming om deze pagina te bekijken.",
+    "title": "Toegang geweigerd"
+  },
+  "notFound": {
+    "desc": "Pagina niet gevonden",
+    "title": "404",
+    "documentTitle": "Niet gevonden - Frigate"
+  },
+  "selectItem": "Selecteer {{item}}"
+}
diff --git a/web/public/locales/nl/components/auth.json b/web/public/locales/nl/components/auth.json
new file mode 100644
index 000000000..78ae8e55e
--- /dev/null
+++ b/web/public/locales/nl/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "Wachtwoord",
+    "login": "Inloggen",
+    "errors": {
+      "rateLimit": "Limiet overschreden. Probeer het later opnieuw.",
+      "loginFailed": "Inloggen mislukt",
+      "usernameRequired": "Gebruikersnaam is vereist",
+      "passwordRequired": "Wachtwoord is vereist",
+      "unknownError": "Onbekende fout. Bekijk de logs.",
+      "webUnknownError": "Onbekende fout. Controleer consolelogboeken."
+    },
+    "user": "Gebruikersnaam"
+  }
+}
diff --git a/web/public/locales/nl/components/camera.json b/web/public/locales/nl/components/camera.json
new file mode 100644
index 000000000..251e57a25
--- /dev/null
+++ b/web/public/locales/nl/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Cameragroepen",
+    "add": "Cameragroep toevoegen",
+    "edit": "Cameragroep bewerken",
+    "delete": {
+      "label": "Cameragroep verwijderen",
+      "confirm": {
+        "title": "Bevestig Verwijderen",
+        "desc": "Weet u zeker dat u de cameragroep <em>{{name}}</em> wilt verwijderen?"
+      }
+    },
+    "name": {
+      "label": "Naam",
+      "placeholder": "Voer een naam in…",
+      "errorMessage": {
+        "exists": "De cameragroepnaam bestaat al.",
+        "invalid": "Ongeldige cameragroepnaam.",
+        "nameMustNotPeriod": "De naam van de cameragroep mag geen punt bevatten.",
+        "mustLeastCharacters": "De naam van de cameragroep moet minimaal 2 tekens lang zijn."
+      }
+    },
+    "cameras": {
+      "desc": "Selecteer camera's voor deze groep.",
+      "label": "Camera's"
+    },
+    "success": "Cameragroep ({{name}}) is opgeslagen.",
+    "camera": {
+      "setting": {
+        "audioIsAvailable": "Audio is beschikbaar voor deze stream",
+        "audioIsUnavailable": "Audio is niet beschikbaar voor deze stream",
+        "audio": {
+          "tips": {
+            "document": "Lees de documentatie ",
+            "title": "Audio moet worden uitgevoerd vanaf je camera en geconfigureerd in go2rtc voor deze stream."
+          }
+        },
+        "streamMethod": {
+          "method": {
+            "smartStreaming": {
+              "label": "Slim streamen (aanbevolen)",
+              "desc": "Slim streamen werkt het camerabeeld één keer per minuut bij wanneer er geen detecteerbare activiteit is, om bandbreedte en systeembronnen te besparen. Zodra er activiteit wordt gedetecteerd, schakelt het beeld automatisch over naar een livestream."
+            },
+            "continuousStreaming": {
+              "label": "Continue streaming",
+              "desc": {
+                "title": "Het camerabeeld is altijd een live stream wanneer het zichtbaar is op het dashboard, zelfs als er geen activiteit wordt gedetecteerd.",
+                "warning": "Let op: continu streamen kan leiden tot hoog bandbreedtegebruik en prestatieproblemen."
+              }
+            },
+            "noStreaming": {
+              "label": "Geen streaming",
+              "desc": "Camerabeelden worden slechts één keer per minuut bijgewerkt en er vindt geen livestreaming plaats."
+            }
+          },
+          "label": "Streamingmethode",
+          "placeholder": "Kies een streamingmethode"
+        },
+        "compatibilityMode": {
+          "desc": "Schakel deze optie alleen in als de live stream van je camera kleurvervormingen toont en een diagonale lijn aan de rechterkant van het beeld heeft.",
+          "label": "Compatibiliteitsmodus"
+        },
+        "desc": "Wijzig de live streaming-opties voor het dashboard van deze cameragroep. <em>Deze instellingen zijn specifiek voor het apparaat en de browser.</em>",
+        "label": "Camera streaming-instellingen",
+        "title": "{{cameraName}} Streaming-instellingen",
+        "stream": "Stream",
+        "placeholder": "Kies een stream"
+      }
+    },
+    "icon": "Icon"
+  },
+  "debug": {
+    "options": {
+      "label": "Instellingen",
+      "title": "Opties",
+      "showOptions": "Opties weergeven",
+      "hideOptions": "Opties verbergen"
+    },
+    "mask": "Masker",
+    "motion": "Beweging",
+    "zones": "Zones",
+    "boundingBox": "Objectkader",
+    "timestamp": "Tijdstempel",
+    "regions": "Regio's"
+  }
+}
diff --git a/web/public/locales/nl/components/dialog.json b/web/public/locales/nl/components/dialog.json
new file mode 100644
index 000000000..0c1e8aaf3
--- /dev/null
+++ b/web/public/locales/nl/components/dialog.json
@@ -0,0 +1,123 @@
+{
+  "restart": {
+    "title": "Weet je zeker dat je Frigate opnieuw wilt opstarten?",
+    "button": "Herstart",
+    "restarting": {
+      "title": "Frigate wordt opnieuw gestart",
+      "button": "Forceer herladen nu",
+      "content": "Deze pagina zal herladen in {{countdown}} seconden."
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Verzenden naar Frigate+",
+        "desc": "Objecten op locaties die je wilt vermijden, zijn geen valspositieven. Als je ze als valspositieven indient, brengt dit het model in verwarring."
+      },
+      "review": {
+        "true": {
+          "true_one": "Dit is een {{label}}",
+          "true_other": "Dit zijn {{label}}",
+          "label": "Bevestig dit label voor Frigate Plus"
+        },
+        "false": {
+          "false_one": "Dit is geen {{label}}",
+          "false_other": "Dit zijn geen {{label}}",
+          "label": "Bevestig dit label niet voor Frigate Plus"
+        },
+        "state": {
+          "submitted": "Ingediend"
+        },
+        "question": {
+          "ask_an": "Is dit object een <code>{{label}}</code>?",
+          "label": "Bevestig dit label voor Frigate Plus",
+          "ask_a": "Is dit object een <code>{{label}}</code>?",
+          "ask_full": "Is dit object een <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Bekijk in Geschiedenis"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Selecteer uit tijdlijn",
+      "end": {
+        "label": "Selecteer eindtijd",
+        "title": "Eindtijd"
+      },
+      "lastHour_one": "Afgelopen uur",
+      "lastHour_other": "Afgelopen {{count}} uren",
+      "custom": "Aangepast",
+      "start": {
+        "title": "Starttijd",
+        "label": "Selecteer starttijd"
+      }
+    },
+    "name": {
+      "placeholder": "Geef de export een naam"
+    },
+    "select": "Selecteer",
+    "toast": {
+      "error": {
+        "failed": "Exporteren is mislukt: {{error}}",
+        "noVaildTimeSelected": "Geen geldig tijdsbereik geselecteerd",
+        "endTimeMustAfterStartTime": "Eindtijd moet na starttijd zijn"
+      },
+      "success": "Export is succesvol gestart. Bekijk het bestand in de map /exports."
+    },
+    "fromTimeline": {
+      "saveExport": "Export opslaan",
+      "previewExport": "Export vooraf bekijken"
+    },
+    "export": "Exporteren",
+    "selectOrExport": "Selecteren of exporteren"
+  },
+  "streaming": {
+    "label": "Stream",
+    "restreaming": {
+      "desc": {
+        "title": "Stel go2rtc in voor extra liveweergaveopties en audio voor deze camera.",
+        "readTheDocumentation": "Lees de documentatie"
+      },
+      "disabled": "Herstreamen is niet ingeschakeld voor deze camera."
+    },
+    "showStats": {
+      "label": "Streamstatistieken tonen",
+      "desc": "Schakel deze optie in om streamstatistieken als overlay op de camerafeed weer te geven."
+    },
+    "debugView": "Debugweergave"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Zoekopdracht opslaan",
+      "desc": "Geef een naam op voor deze opgeslagen zoekopdracht.",
+      "success": "Zoekopdracht ({{searchName}}) is opgeslagen.",
+      "button": {
+        "save": {
+          "label": "Bewaar deze zoekopdracht"
+        }
+      },
+      "overwrite": "{{searchName}} bestaat al. Opslaan overschrijft de bestaande waarde.",
+      "placeholder": "Voer een naam in voor uw zoekopdracht"
+    }
+  },
+  "recording": {
+    "button": {
+      "deleteNow": "Nu verwijderen",
+      "export": "Exporteren",
+      "markAsReviewed": "Markeren als beoordeeld"
+    },
+    "confirmDelete": {
+      "desc": {
+        "selected": "Weet u zeker dat u alle opgenomen videobeelden wilt verwijderen die aan dit beoordelingsitem zijn gekoppeld?<br /><br />Houd de <em>Shift</em>-toets ingedrukt om dit dialoogvenster in de toekomst over te slaan."
+      },
+      "title": "Bevestig Verwijderen",
+      "toast": {
+        "error": "Verwijderen mislukt: {{error}}",
+        "success": "De videobeelden die aan de geselecteerde beoordelingsitems zijn gekoppeld, zijn succesvol verwijderd."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/nl/components/filter.json b/web/public/locales/nl/components/filter.json
new file mode 100644
index 000000000..fa2ecd9d0
--- /dev/null
+++ b/web/public/locales/nl/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "labels": {
+    "count": "{{count}} Labels",
+    "all": {
+      "short": "Labels",
+      "title": "Alle labels"
+    },
+    "label": "Labels",
+    "count_one": "{{count}} Label",
+    "count_other": "{{count}} Labels"
+  },
+  "zones": {
+    "label": "Zones",
+    "all": {
+      "title": "Alle zones",
+      "short": "Zones"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Alle datums",
+      "short": "Datums"
+    },
+    "selectPreset": "Selecteer een voorinstelling…"
+  },
+  "features": {
+    "hasVideoClip": "Heeft een videoclip",
+    "label": "Functies",
+    "hasSnapshot": "Heeft een snapshot",
+    "submittedToFrigatePlus": {
+      "label": "Ingediend bij Frigate+",
+      "tips": "Je moet eerst filteren op gevolgde objecten met een snapshot.<br /><br />Gevolgde objecten zonder snapshot kunnen niet worden verzonden naar Frigate+."
+    }
+  },
+  "review": {
+    "showReviewed": "Toon beoordeelde items"
+  },
+  "motion": {
+    "showMotionOnly": "Alleen bewegingen weergeven"
+  },
+  "explore": {
+    "settings": {
+      "title": "Instellingen",
+      "defaultView": {
+        "title": "Standaardweergave",
+        "unfilteredGrid": "Ongefilterd overzicht",
+        "summary": "Samenvatting",
+        "desc": "Wanneer er geen filters zijn geselecteerd, wordt er een samenvatting van de meest recent gevolgde objecten per label weergegeven, of wordt er een ongefilterd overzicht weergegeven."
+      },
+      "gridColumns": {
+        "title": "Overzichtskolommen",
+        "desc": "Selecteer het aantal kolommen in het overzicht."
+      },
+      "searchSource": {
+        "options": {
+          "description": "Beschrijving",
+          "thumbnailImage": "Thumbnail afbeelding"
+        },
+        "desc": "Kies of u wilt zoeken in de thumbnails of beschrijvingen van de objecten die u volgt.",
+        "label": "Zoekbron"
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Selecteer een datum om op te filteren"
+      }
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filteren op zonemasker"
+  },
+  "recognizedLicensePlates": {
+    "loadFailed": "Het laden van herkende kentekenplaten is mislukt.",
+    "placeholder": "Type om kentekens te zoeken…",
+    "title": "Herkende kentekenplaten",
+    "noLicensePlatesFound": "Geen kentekenplaten gevonden.",
+    "selectPlatesFromList": "Selecteer een of meer kentekens uit de lijst.",
+    "loading": "Herkende kentekenplaten laden…"
+  },
+  "score": "Score",
+  "sort": {
+    "scoreAsc": "Objectscore (oplopend)",
+    "dateAsc": "Datum (oplopend)",
+    "speedAsc": "Geschatte snelheid (oplopend)",
+    "label": "Sorteer",
+    "relevance": "Relevantie",
+    "dateDesc": "Datum (aflopend)",
+    "scoreDesc": "Objectscore (aflopend)",
+    "speedDesc": "Geschatte snelheid (aflopend)"
+  },
+  "cameras": {
+    "all": {
+      "title": "Alle camera's",
+      "short": "Camera's"
+    },
+    "label": "Camerafilter"
+  },
+  "subLabels": {
+    "label": "Sublabels",
+    "all": "Alle sublabels"
+  },
+  "logSettings": {
+    "loading": {
+      "title": "Bezig met laden",
+      "desc": "Wanneer u het logvenster naar beneden scrolt, worden nieuwe logs automatisch weergegeven terwijl ze worden toegevoegd."
+    },
+    "disableLogStreaming": "Logstreaming uitschakelen",
+    "allLogs": "Alle logs",
+    "label": "Filterlogniveau",
+    "filterBySeverity": "Filter logs op ernst"
+  },
+  "filter": "Filter",
+  "timeRange": "Tijdsbereik",
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "Gevolgde objecten succesvol verwijderd.",
+      "error": "Het verwijderen van gevolgde objecten is mislukt: {{errorMessage}}"
+    },
+    "title": "Bevestig Verwijderen",
+    "desc": "Het verwijderen van deze {{objectLength}} gevolgde objecten verwijdert de snapshot, eventuele opgeslagen embeddings en bijbehorende levenscyclusgegevens van het object. Opgenomen videobeelden van deze objecten in de geschiedenisweergave worden <em>NIET</em> verwijderd.<br /><br />Weet je zeker dat je wilt doorgaan?<br /><br />Houd de <em>Shift</em>-toets ingedrukt om deze melding in de toekomst over te slaan."
+  },
+  "reset": {
+    "label": "Filters resetten naar standaardwaarden"
+  },
+  "more": "Meer filters",
+  "estimatedSpeed": "Geschatte snelheid ({{unit}})"
+}
diff --git a/web/public/locales/nl/components/icons.json b/web/public/locales/nl/components/icons.json
new file mode 100644
index 000000000..af65664d6
--- /dev/null
+++ b/web/public/locales/nl/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecteer een pictogram",
+    "search": {
+      "placeholder": "Zoek naar een pictogram…"
+    }
+  }
+}
diff --git a/web/public/locales/nl/components/input.json b/web/public/locales/nl/components/input.json
new file mode 100644
index 000000000..fa5707a78
--- /dev/null
+++ b/web/public/locales/nl/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Video downloaden",
+      "toast": {
+        "success": "Het downloaden van uw beoordelingsvideo is gestart."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/nl/components/player.json b/web/public/locales/nl/components/player.json
new file mode 100644
index 000000000..ff0dd1065
--- /dev/null
+++ b/web/public/locales/nl/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Geen opnames gevonden voor deze tijd",
+  "stats": {
+    "latency": {
+      "value": "{{seconds}} seconden",
+      "short": {
+        "title": "Latentie",
+        "value": "{{seconds}} s"
+      },
+      "title": "Latentie:"
+    },
+    "totalFrames": "Totaal aantal frames:",
+    "droppedFrames": {
+      "title": "Overgeslagen frames:",
+      "short": {
+        "value": "{{droppedFrames}} frames",
+        "title": "Overgeslagen"
+      }
+    },
+    "droppedFrameRate": "Frequentie van overgeslagen frames:",
+    "bandwidth": {
+      "short": "Bandbreedte",
+      "title": "Bandbreedte:"
+    },
+    "streamType": {
+      "short": "Type",
+      "title": "Stream Type:"
+    },
+    "decodedFrames": "Gedecodeerde frames:"
+  },
+  "submitFrigatePlus": {
+    "title": "Dit frame indienen bij Frigate+?",
+    "submit": "Indienen"
+  },
+  "streamOffline": {
+    "title": "Stream is Offline",
+    "desc": "Er zijn geen frames ontvangen in de <code>detect</code>-stream van {{cameraName}}, controleer de error logs"
+  },
+  "noPreviewFound": "Geen voorbeeld gevonden",
+  "noPreviewFoundFor": "Geen voorbeeld gevonden voor {{cameraName}}",
+  "livePlayerRequiredIOSVersion": "Voor dit type livestream is iOS 17.1 of hoger vereist.",
+  "cameraDisabled": "Camera is uitgeschakeld",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Frame succesvol ingediend bij Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Het is niet gelukt om een frame naar Frigate+ te sturen"
+    }
+  }
+}
diff --git a/web/public/locales/nl/objects.json b/web/public/locales/nl/objects.json
new file mode 100644
index 000000000..a0b21657b
--- /dev/null
+++ b/web/public/locales/nl/objects.json
@@ -0,0 +1,120 @@
+{
+  "cat": "Kat",
+  "horse": "Paard",
+  "bird": "Vogel",
+  "bark": "Blaffen",
+  "goat": "Geit",
+  "sheep": "Schaap",
+  "animal": "Dier",
+  "mouse": "Muis",
+  "dog": "Hond",
+  "keyboard": "Klavier",
+  "person": "Persoon",
+  "airplane": "Vliegtuig",
+  "traffic_light": "Verkeerslicht",
+  "street_sign": "Verkeersbord",
+  "stop_sign": "Stopbord",
+  "parking_meter": "Parkeer Meter",
+  "bench": "Bankje",
+  "cow": "Koe",
+  "giraffe": "Giraffe",
+  "hat": "Hoed",
+  "backpack": "Rugzak",
+  "shoe": "Schoen",
+  "baseball_bat": "Honkbalknuppel",
+  "baseball_glove": "Honkbalhandschoen",
+  "tennis_racket": "Tennis Racket",
+  "bottle": "Fles",
+  "plate": "Bord",
+  "fork": "Vork",
+  "spoon": "Lepel",
+  "bowl": "Schaal",
+  "sandwich": "Sandwich",
+  "broccoli": "Broccoli",
+  "hot_dog": "Hot Dog",
+  "cake": "Taart",
+  "chair": "Stoel",
+  "potted_plant": "Potplant",
+  "bed": "Bed",
+  "mirror": "Spiegel",
+  "laptop": "Laptop",
+  "cell_phone": "Mobiele telefoon",
+  "oven": "Oven",
+  "toaster": "Broodrooster",
+  "refrigerator": "Koelkast",
+  "book": "Boek",
+  "clock": "Klok",
+  "vase": "Vaas",
+  "toothbrush": "Tandenborstel",
+  "teddy_bear": "Teddybeer",
+  "vehicle": "Voertuig",
+  "squirrel": "Eekhoorn",
+  "deer": "Hert",
+  "fox": "Vos",
+  "rabbit": "Konijn",
+  "raccoon": "Wasbeer",
+  "waste_bin": "Afvalbak",
+  "on_demand": "Handmatige opnames",
+  "ups": "UPS",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "skateboard": "Skateboard",
+  "boat": "Boot",
+  "scissors": "Schaar",
+  "bicycle": "Fiets",
+  "sink": "Wasbak",
+  "bus": "Bus",
+  "car": "Auto",
+  "motorcycle": "Motorfiets",
+  "train": "Trein",
+  "door": "Deur",
+  "blender": "Blender",
+  "hair_dryer": "Föhn",
+  "banana": "Banaan",
+  "umbrella": "Paraplu",
+  "suitcase": "Koffer",
+  "license_plate": "Kentekenplaat",
+  "orange": "Oranje",
+  "postnl": "PostNL",
+  "snowboard": "Snowboard",
+  "sports_ball": "Bal",
+  "donut": "Donut",
+  "couch": "Bank",
+  "package": "Pakket",
+  "dining_table": "Etenstafel",
+  "microwave": "Magnetron",
+  "toilet": "Toilet",
+  "cup": "Beker",
+  "carrot": "Wortel",
+  "eye_glasses": "Brillen",
+  "bear": "Beer",
+  "zebra": "Zebra",
+  "handbag": "Handtas",
+  "surfboard": "Surfplank",
+  "wine_glass": "Wijnglas",
+  "hair_brush": "Haarborstel",
+  "fire_hydrant": "Brandkraan",
+  "elephant": "Olifant",
+  "remote": "Op afstand",
+  "tie": "Stropdas",
+  "kite": "Vlieger",
+  "frisbee": "Frisbee",
+  "skis": "Ski's",
+  "desk": "Bureau",
+  "knife": "Mes",
+  "apple": "Appel",
+  "pizza": "Pizza",
+  "window": "Raam",
+  "fedex": "FedEx",
+  "tv": "TV",
+  "robot_lawnmower": "Robot grasmaaier",
+  "usps": "USPS",
+  "dhl": "DHL",
+  "bbq_grill": "BBQ-grill",
+  "amazon": "Amazon",
+  "face": "Gezicht",
+  "an_post": "An Post",
+  "purolator": "Purolator"
+}
diff --git a/web/public/locales/nl/views/configEditor.json b/web/public/locales/nl/views/configEditor.json
new file mode 100644
index 000000000..5bd94a242
--- /dev/null
+++ b/web/public/locales/nl/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Configuratie-bewerken - Frigate",
+  "copyConfig": "Configuratie kopiëren",
+  "saveAndRestart": "Opslaan en opnieuw opstarten",
+  "toast": {
+    "error": {
+      "savingError": "Fout bij het opslaan van de configuratie"
+    },
+    "success": {
+      "copyToClipboard": "Configuratie gekopieerd naar klembord."
+    }
+  },
+  "configEditor": "Configuratie Bewerken",
+  "saveOnly": "Alleen opslaan",
+  "confirm": "Afsluiten zonder op te slaan?"
+}
diff --git a/web/public/locales/nl/views/events.json b/web/public/locales/nl/views/events.json
new file mode 100644
index 000000000..269cadffc
--- /dev/null
+++ b/web/public/locales/nl/views/events.json
@@ -0,0 +1,38 @@
+{
+  "documentTitle": "Beoordelen - Frigate",
+  "camera": "Camera",
+  "newReviewItems": {
+    "button": "Nieuwe items om te beoordelen",
+    "label": "Bekijk nieuwe beoordelingsitems"
+  },
+  "timeline.aria": "Selecteer tijdlijn",
+  "recordings": {
+    "documentTitle": "Opnamen - Frigate"
+  },
+  "timeline": "Tijdlijn",
+  "empty": {
+    "alert": "Er zijn geen meldingen om te beoordelen",
+    "detection": "Er zijn geen detecties om te beoordelen",
+    "motion": "Geen bewegingsgegevens gevonden"
+  },
+  "events": {
+    "aria": "Selecteer activiteiten",
+    "noFoundForTimePeriod": "Er zijn geen activiteiten gevonden voor deze periode.",
+    "label": "Activiteiten"
+  },
+  "calendarFilter": {
+    "last24Hours": "Laatste 24 uur"
+  },
+  "alerts": "Meldingen",
+  "motion": {
+    "label": "Bewegingen",
+    "only": "Alleen bewegingen"
+  },
+  "allCameras": "Alle camera's",
+  "markAsReviewed": "Markeren als beoordeeld",
+  "detections": "Detecties",
+  "markTheseItemsAsReviewed": "Markeer deze items als beoordeeld",
+  "selected_other": "{{count}} geselecteerd",
+  "selected_one": "{{count}} geselecteerd",
+  "detected": "gedetecteerd"
+}
diff --git a/web/public/locales/nl/views/explore.json b/web/public/locales/nl/views/explore.json
new file mode 100644
index 000000000..78c2c7116
--- /dev/null
+++ b/web/public/locales/nl/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "generativeAI": "Generatieve AI",
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "finishingShortly": "Bijna klaar",
+      "step": {
+        "trackedObjectsProcessed": "Gevolgde objecten verwerkt: ",
+        "descriptionsEmbedded": "Beschrijving ingesloten: ",
+        "thumbnailsEmbedded": "Thumbnails ingesloten: "
+      },
+      "context": "Verkennen kan worden gebruikt nadat de embeddings van gevolgde objecten opnieuw zijn geïndexeerd.",
+      "estimatedTime": "Geschatte resterende tijd:",
+      "startingUp": "Opstarten…"
+    },
+    "downloadingModels": {
+      "setup": {
+        "textTokenizer": "Teksttokenizer",
+        "visionModel": "Visiemodel",
+        "visionModelFeatureExtractor": "kenmerkextractie van een visiemodel",
+        "textModel": "Tekstmodel"
+      },
+      "error": "Er is iets misgegaan. Raadpleeg de Frigate-logs.",
+      "context": "Frigate downloadt de vereiste inbedmodellen om de functie Semantisch zoeken te ondersteunen. Dit kan enkele minuten duren, afhankelijk van de snelheid van je netwerkverbinding.",
+      "tips": {
+        "context": "Je wilt misschien de embeddings van je gevolgde objecten opnieuw indexeren zodra de modellen zijn gedownload.",
+        "documentation": "Lees de documentatie"
+      }
+    },
+    "title": "Verkennen is niet beschikbaar"
+  },
+  "trackedObjectDetails": "Details getraceerd object",
+  "type": {
+    "details": "Details",
+    "video": "video",
+    "snapshot": "snapshot",
+    "object_lifecycle": "objectlevenscyclus"
+  },
+  "objectLifecycle": {
+    "createObjectMask": "Objectmasker maken",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} Gedetecteerd",
+      "entered_zone": "{{label}} in zone {{zones}}",
+      "attribute": {
+        "other": "{{label}} Herkend als {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} Gedetecteerd voor {{label}}"
+      },
+      "heard": "{{label}} gehoord",
+      "gone": "{{label}} is vertrokken",
+      "active": "{{label}} Werd actief",
+      "stationary": "{{label}} werd stationair",
+      "external": "{{label}} gedetecteerd",
+      "header": {
+        "zones": "Zones",
+        "ratio": "Verhouding",
+        "area": "Gebied"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annotatie-instellingen",
+      "offset": {
+        "millisecondsToOffset": "Aantal milliseconden om objectkader mee te verschuiven. <em>Standaard: 0</em>",
+        "desc": "Deze gegevens zijn afkomstig van de detectiestroom van je camera, maar worden weergegeven op beelden uit de opnamestroom. Het is onwaarschijnlijk dat deze twee streams perfect gesynchroniseerd zijn. Hierdoor zullen het objectkader en het beeld niet exact op elkaar aansluiten. Het veld <code>annotation_offset</code> kan echter worden gebruikt om deze annotatie-afwijking te corrigeren.",
+        "documentation": "Lees de documentatie ",
+        "label": "Annotatie-afwijking",
+        "tips": "TIP: Stel je voor dat er een clip is waarin een persoon van links naar rechts loopt. Als het objectkader in de tijdlijn van het object steeds links van de persoon ligt, dan moet de waarde verlaagd worden. Op dezelfde manier als het objectkader consequent vóór de persoon ligt dus vooruitloopt, moet de waarde verhoogd worden.",
+        "toast": {
+          "success": "Annotatieverschuiving voor {{camera}} is opgeslagen in het configuratiebestand. Herstart Frigate om je wijzigingen toe te passen."
+        }
+      },
+      "showAllZones": {
+        "title": "Toon alle zones",
+        "desc": "Toon altijd zones op frames waar objecten een zone zijn binnengegaan."
+      }
+    },
+    "noImageFound": "Er is geen afbeelding beschikbaar voor dit tijdstip.",
+    "title": "Objectlevenscyclus",
+    "adjustAnnotationSettings": "Annotatie-instellingen aanpassen",
+    "scrollViewTips": "Scroll om de belangrijke momenten uit de levenscyclus van dit object te bekijken.",
+    "autoTrackingTips": "Als u een automatische objectvolgende camera gebruikt, zal het objectkader onnauwkeurig zijn.",
+    "carousel": {
+      "previous": "Vorige dia",
+      "next": "Volgende dia"
+    },
+    "count": "{{first}} van {{second}}",
+    "trackedPoint": "Volgpunt"
+  },
+  "documentTitle": "Verken - Frigate",
+  "details": {
+    "item": {
+      "button": {
+        "viewInExplore": "Bekijk in Verkennen",
+        "share": "Deel dit beoordelingsitem"
+      },
+      "title": "Details van item bekijken",
+      "desc": "Details van item bekijken",
+      "tips": {
+        "hasMissingObjects": "Pas je configuratie aan als je wilt dat Frigate gevolgde objecten opslaat voor de volgende labels: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} Niet-beschikbaar object werd gedetecteerd en opgenomen in dit beoordelingsitem. Het voldeed mogelijk niet aan de criteria voor een waarschuwing of detectie, of is inmiddels opgeschoond of verwijderd.",
+        "mismatch_other": "{{count}} Niet-beschikbare objecten zijn gedetecteerd en opgenomen in dit beoordelingsitem. Deze objecten voldeden mogelijk niet aan de voorwaarden voor een waarschuwing of detectie, of zijn inmiddels verwijderd of opgeruimd."
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Er is een nieuwe beschrijving aangevraagd bij {{provider}}. Afhankelijk van de snelheid van je provider kan het regenereren van de nieuwe beschrijving enige tijd duren.",
+          "updatedSublabel": "Sublabel succesvol bijgewerkt.",
+          "updatedLPR": "Kenteken succesvol bijgewerkt."
+        },
+        "error": {
+          "updatedSublabelFailed": "Het is niet gelukt om het sublabel bij te werken: {{errorMessage}}",
+          "regenerate": "Het is niet gelukt om {{provider}} aan te roepen voor een nieuwe beschrijving: {{errorMessage}}",
+          "updatedLPRFailed": "Kentekenplaat bijwerken mislukt: {{errorMessage}}"
+        }
+      }
+    },
+    "label": "Label",
+    "editSubLabel": {
+      "title": "Sublabel bewerken",
+      "descNoLabel": "Voer een nieuw sublabel in voor dit gevolgde object",
+      "desc": "Voer een nieuw sublabel in voor deze {{label}}"
+    },
+    "topScore": {
+      "label": "Hoogste score",
+      "info": "De topscore is de hoogste mediaanscore voor het gevolgde object, waardoor deze kan afwijken van de score die wordt weergegeven op de thumbnail van het zoekresultaat."
+    },
+    "objects": "Objecten",
+    "zones": "Zones",
+    "button": {
+      "findSimilar": "Vind vergelijkbare",
+      "regenerate": {
+        "label": "Regenereer de beschrijving van het gevolgde object",
+        "title": "Regenereren"
+      }
+    },
+    "description": {
+      "placeholder": "Beschrijving van het gevolgde object",
+      "label": "Beschrijving",
+      "aiTips": "Frigate vraagt pas om een beschrijving van uw Generative AI-provider als de levenscyclus van het gevolgde object is afgelopen."
+    },
+    "expandRegenerationMenu": "Regeneratiemenu uitbreiden",
+    "regenerateFromSnapshot": "Regenereren vanuit Snapshot",
+    "tips": {
+      "descriptionSaved": "Beschrijving succesvol opgeslagen",
+      "saveDescriptionFailed": "Het is niet gelukt om de beschrijving bij te werken: {{errorMessage}}"
+    },
+    "timestamp": "Tijdstempel",
+    "regenerateFromThumbnails": "Regeneratie van Thumbnails",
+    "camera": "Camera",
+    "estimatedSpeed": "Geschatte snelheid",
+    "editLPR": {
+      "title": "Kenteken bewerken",
+      "desc": "Voer een nieuwe kentekenwaarde in voor deze {{label}}",
+      "descNoLabel": "Voer een nieuwe kentekenwaarde in voor dit gevolgde object"
+    },
+    "recognizedLicensePlate": "Erkende kentekenplaat",
+    "snapshotScore": {
+      "label": "Snapshot scoren"
+    }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Download video",
+      "aria": "Download video"
+    },
+    "viewObjectLifecycle": {
+      "aria": "Toon de levenscyclus van het object",
+      "label": "Levenscyclus van object bekijken"
+    },
+    "submitToPlus": {
+      "label": "Verzenden naar Frigate+",
+      "aria": "Verzenden naar Frigate Plus"
+    },
+    "viewInHistory": {
+      "aria": "Bekijk in Geschiedenis",
+      "label": "Bekijk in Geschiedenis"
+    },
+    "deleteTrackedObject": {
+      "label": "Verwijder dit gevolgde object"
+    },
+    "findSimilar": {
+      "label": "Vind vergelijkbare",
+      "aria": "Vind vergelijkbare gevolgde objecten"
+    },
+    "downloadSnapshot": {
+      "label": "Download snapshot",
+      "aria": "Download snapshot"
+    }
+  },
+  "noTrackedObjects": "Geen gevolgde objecten gevonden",
+  "trackedObjectsCount_one": "{{count}} gevolgd object ",
+  "trackedObjectsCount_other": "{{count}} gevolgde objecten ",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Het gevolgde object is succesvol verwijderd.",
+        "error": "Verwijderen van gevolgd object mislukt: {{errorMessage}}"
+      }
+    },
+    "tooltip": "{{type}} komt voor {{confidence}}% overeen met de zoekopdracht"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Bevestig Verwijderen",
+      "desc": "Het verwijderen van dit gevolgde object verwijdert de snapshot, alle opgeslagen embeddings en eventuele bijbehorende levenscyclusgegevens van het object. Opgenomen videobeelden van dit object in de Geschiedenisweergave worden <em>NIET</em> verwijderd.<br /><br />Weet je zeker dat je wilt doorgaan?"
+    }
+  },
+  "fetchingTrackedObjectsFailed": "Fout bij het ophalen van gevolgde objecten: {{errorMessage}}",
+  "exploreMore": "Verken meer {{label}} objecten"
+}
diff --git a/web/public/locales/nl/views/exports.json b/web/public/locales/nl/views/exports.json
new file mode 100644
index 000000000..2589f37c7
--- /dev/null
+++ b/web/public/locales/nl/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exporteren - Frigate",
+  "search": "Zoek",
+  "toast": {
+    "error": {
+      "renameExportFailed": "Het is niet gelukt om de export te hernoemen: {{errorMessage}}"
+    }
+  },
+  "editExport": {
+    "title": "Hernoemen Export",
+    "saveExport": "Export opslaan",
+    "desc": "Voer een nieuwe naam in voor deze export."
+  },
+  "noExports": "Geen export gevonden",
+  "deleteExport": "Verwijder Export",
+  "deleteExport.desc": "Weet je zeker dat je dit wilt wissen: {{exportName}}?"
+}
diff --git a/web/public/locales/nl/views/faceLibrary.json b/web/public/locales/nl/views/faceLibrary.json
new file mode 100644
index 000000000..ecc636fda
--- /dev/null
+++ b/web/public/locales/nl/views/faceLibrary.json
@@ -0,0 +1,100 @@
+{
+  "selectItem": "Selecteer {{item}}",
+  "details": {
+    "timestamp": "Tijdstempel",
+    "person": "Persoon",
+    "confidence": "Vertrouwen",
+    "face": "Gezicht Details",
+    "faceDesc": "Details van het gevolgde object dat dit gezicht heeft gegenereerd",
+    "scoreInfo": "De sublabelscore is het gewogen gemiddelde van hoe zeker de gezichtsherkenningen zijn. Deze score kan anders zijn dan die op de snapshot.",
+    "subLabelScore": "Score voor sublabel",
+    "unknown": "Onbekend"
+  },
+  "documentTitle": "Gezichtsbibliotheek - Frigate",
+  "description": {
+    "placeholder": "Voer een naam in voor deze verzameling",
+    "addFace": "Doorloop het toevoegen van een nieuwe collectie aan de gezichtenbibliotheek.",
+    "invalidName": "Ongeldige naam. Namen mogen alleen letters, cijfers, spaties, apostroffen, underscores en koppeltekens bevatten."
+  },
+  "train": {
+    "title": "Train",
+    "aria": "Selecteer trainen",
+    "empty": "Er zijn geen recente pogingen tot gezichtsherkenning"
+  },
+  "selectFace": "Selecteer gezicht",
+  "toast": {
+    "error": {
+      "addFaceLibraryFailed": "Het is niet gelukt om de gezichtsnaam in te stellen: {{errorMessage}}",
+      "deleteFaceFailed": "Verwijderen mislukt: {{errorMessage}}",
+      "deleteNameFailed": "Naam verwijderen is niet gelukt: {{errorMessage}}",
+      "updateFaceScoreFailed": "Niet gelukt om gezichtsscore bij te werken: {{errorMessage}}",
+      "uploadingImageFailed": "Afbeelding uploaden mislukt: {{errorMessage}}",
+      "trainFailed": "Trainen mislukt: {{errorMessage}}",
+      "renameFaceFailed": "Het is niet gelukt om het gezicht te hernoemen: {{errorMessage}}"
+    },
+    "success": {
+      "deletedFace_one": "{{count}} gezicht is succesvol verwijderd.",
+      "deletedFace_other": "{{count}} gezichten zijn succesvol verwijderd.",
+      "trainedFace": "Met succes getraind gezicht.",
+      "updatedFaceScore": "De gezichtsscore is succesvol bijgewerkt.",
+      "deletedName_one": "{{count}} gezicht is succesvol verwijderd.",
+      "deletedName_other": "{{count}} gezichten zijn succesvol verwijderd.",
+      "uploadedImage": "Afbeelding succesvol geüpload.",
+      "addFaceLibrary": "{{name}} is succesvol toegevoegd aan de Gezichtenbibliotheek!",
+      "renamedFace": "Gezicht succesvol hernoemd naar {{name}}"
+    }
+  },
+  "imageEntry": {
+    "dropActive": "Zet de afbeelding hier neer…",
+    "dropInstructions": "Sleep een afbeelding hierheen of klik om te selecteren",
+    "maxSize": "Maximale grootte: {{size}}MB",
+    "validation": {
+      "selectImage": "Selecteer een afbeeldingbestand."
+    }
+  },
+  "createFaceLibrary": {
+    "title": "Collectie maken",
+    "desc": "Een nieuwe collectie maken",
+    "new": "Creëer een nieuw gezicht",
+    "nextSteps": "Om een sterke basis op te bouwen:<li>Gebruik het tabblad Trainen om per gedetecteerd persoon afbeeldingen te selecteren en te trainen.</li> <li>Richt je op frontale afbeeldingen voor het beste resultaat; vermijd trainingsbeelden waarop gezichten vanuit een hoek te zien zijn.</li>"
+  },
+  "button": {
+    "addFace": "Gezicht toevoegen",
+    "uploadImage": "Afbeelding uploaden",
+    "deleteFaceAttempts": "Verwijder gezicht",
+    "reprocessFace": "Herverwerk gezicht",
+    "renameFace": "Gezicht hernoemen",
+    "deleteFace": "Gezicht verwijderen"
+  },
+  "uploadFaceImage": {
+    "desc": "Upload een afbeelding om te scannen op gezichten en op te nemen voor {{pageToggle}}",
+    "title": "Upload een afbeelding van het gezicht"
+  },
+  "deleteFaceLibrary": {
+    "title": "Verwijder Naam",
+    "desc": "Weet je zeker dat je de collectie {{name}} wilt verwijderen? Dit zal permanent alle geassocieerde gezichten verwijderen."
+  },
+  "trainFaceAs": "Gezicht trainen als:",
+  "trainFace": "Gezicht trainen",
+  "readTheDocs": "Lees de documentatie",
+  "steps": {
+    "nextSteps": "Volgende stappen",
+    "faceName": "Voer een naam in",
+    "uploadFace": "Upload een afbeelding van het gezicht",
+    "description": {
+      "uploadFace": "Upload een afbeelding van {{name}} waarop het gezicht van voren te zien is. De afbeelding hoeft niet bijgesneden te zijn tot alleen het gezicht."
+    }
+  },
+  "renameFace": {
+    "title": "Gezicht hernoemen",
+    "desc": "Voer een nieuwe naam in voor {{name}}"
+  },
+  "deleteFaceAttempts": {
+    "title": "Verwijder gezicht",
+    "desc_one": "Weet je zeker dat je {{count}} gezicht wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt.",
+    "desc_other": "Weet je zeker dat je {{count}} gezichten wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt."
+  },
+  "collections": "Collecties",
+  "nofaces": "Geen gezichten beschikbaar",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/nl/views/live.json b/web/public/locales/nl/views/live.json
new file mode 100644
index 000000000..d09f4c699
--- /dev/null
+++ b/web/public/locales/nl/views/live.json
@@ -0,0 +1,158 @@
+{
+  "lowBandwidthMode": "Modus voor lage bandbreedte",
+  "twoWayTalk": {
+    "enable": "Tweerichtingsgesprek inschakelen",
+    "disable": "Tweerichtingsgesprek uitschakelen"
+  },
+  "cameraAudio": {
+    "enable": "Camera geluid inschakelen",
+    "disable": "Camera geluid uitschakelen"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klik in het frame om de camera te centreren",
+        "enable": "Klikken om te bewegen inschakelen",
+        "disable": "Klikken om te bewegen uitschakelen"
+      },
+      "right": {
+        "label": "Beweeg de PTZ-camera naar rechts"
+      },
+      "down": {
+        "label": "Beweeg de PTZ-camera naar beneden"
+      },
+      "up": {
+        "label": "Beweeg de PTZ-camera naar boven"
+      },
+      "left": {
+        "label": "Beweeg de PTZ-camera naar links"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Zoom de PTZ-camera in"
+      },
+      "out": {
+        "label": "Zoom de PTZ-camera uit"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Klik in het frame om de PTZ-camera te centreren"
+      }
+    },
+    "presets": "PTZ-camerapresets"
+  },
+  "camera": {
+    "enable": "Camera inschakelen",
+    "disable": "Camera uitschakelen"
+  },
+  "muteCameras": {
+    "enable": "Alle camera's dempen",
+    "disable": "Dempen van alle camera's opheffen"
+  },
+  "detect": {
+    "disable": "Detectie uitschakelen",
+    "enable": "Detectie inschakelen"
+  },
+  "snapshots": {
+    "enable": "Momentopnamen inschakelen",
+    "disable": "Schakel snapshots uit"
+  },
+  "audioDetect": {
+    "disable": "Audiodetectie uitschakelen",
+    "enable": "Audiodetectie inschakelen"
+  },
+  "streamStats": {
+    "disable": "Verberg streamstatistieken",
+    "enable": "Streamstatistieken weergeven"
+  },
+  "manualRecording": {
+    "showStats": {
+      "label": "Statistieken weergeven",
+      "desc": "Schakel deze optie in om streamstatistieken als overlay op de camerafeed weer te geven."
+    },
+    "started": "Handmatige opname gestart.",
+    "start": "Handmatige opname starten",
+    "debugView": "Debug weergave",
+    "end": "Handmatige opname stoppen",
+    "ended": "Handmatige opname gestopt.",
+    "failedToEnd": "Het beëindigen van de handmatige opname is mislukt.",
+    "playInBackground": {
+      "label": "Speel op de achtergrond",
+      "desc": "Schakel deze optie in om te blijven streamen wanneer de speler verborgen is."
+    },
+    "recordDisabledTips": "Aangezien opnemen is uitgeschakeld of beperkt in de configuratie van deze camera, zal alleen een momentopname worden opgeslagen.",
+    "title": "Opname op aanvraag",
+    "tips": "Start een handmatige gebeurtenis op basis van de opnamebehoudinstellingen van deze camera.",
+    "failedToStart": "Handmatige opname starten mislukt."
+  },
+  "notifications": "Meldingen",
+  "audio": "Geluid",
+  "documentTitle": "Live - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Live - Frigate",
+  "autotracking": {
+    "enable": "Automatisch volgen inschakelen",
+    "disable": "Automatisch volgen uitschakelen"
+  },
+  "recording": {
+    "disable": "Opname uitschakelen",
+    "enable": "Opname inschakelen"
+  },
+  "suspend": {
+    "forTime": "Onderbreken voor: "
+  },
+  "streamingSettings": "Streaming-instellingen",
+  "stream": {
+    "twoWayTalk": {
+      "tips.documentation": "Lees de documenten ",
+      "tips": "Uw apparaat moet deze functie ondersteunen en WebRTC moet geconfigureerd zijn voor tweerichtingsgesprekken.",
+      "unavailable": "Tweerichtingsgesprek is niet beschikbaar voor deze stream",
+      "available": "Voor deze stream is tweerichtingsgesprek beschikbaar"
+    },
+    "lowBandwidth": {
+      "resetStream": "Stream resetten",
+      "tips": "Liveweergave staat in de lagebandbreedtemodus vanwege buffering of streamfouten."
+    },
+    "title": "Stream",
+    "audio": {
+      "tips": {
+        "documentation": "Lees de documentatie ",
+        "title": "Audio moet via je camera komen en in go2rtc geconfigureerd zijn voor deze stream."
+      },
+      "unavailable": "Audio is niet beschikbaar voor deze stroom",
+      "available": "Audio is beschikbaar voor deze stream"
+    },
+    "playInBackground": {
+      "label": "Afspelen op de achtergrond",
+      "tips": "Schakel deze optie in om te blijven streamen wanneer de speler verborgen is."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Instellingen",
+    "objectDetection": "Objectdetectie",
+    "recording": "Opname",
+    "audioDetection": "Audiodetectie",
+    "autotracking": "Automatisch volgen",
+    "snapshots": "Momentopnames",
+    "cameraEnabled": "Camera ingeschakeld"
+  },
+  "history": {
+    "label": "Historische beelden weergeven"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Alle",
+      "active_objects": "Actieve objecten",
+      "motion": "Beweging"
+    },
+    "notAllTips": "De bewaarbeleid-configuratie voor {{source}} is ingesteld op <code>modus: {{effectiveRetainMode}}</code>, dus deze opname op aanvraag bewaart alleen segmenten met {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Lay-out bewerken",
+    "exitEdit": "Bewerken verlaten",
+    "group": {
+      "label": "Cameragroep bewerken"
+    }
+  }
+}
diff --git a/web/public/locales/nl/views/recording.json b/web/public/locales/nl/views/recording.json
new file mode 100644
index 000000000..5a40650c9
--- /dev/null
+++ b/web/public/locales/nl/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Exporteren",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "De eindtijd moet na de starttijd zijn",
+      "noValidTimeSelected": "Er is geen geldig tijdsbereik geselecteerd"
+    }
+  },
+  "filter": "Filter",
+  "calendar": "Kalender",
+  "filters": "Filters"
+}
diff --git a/web/public/locales/nl/views/search.json b/web/public/locales/nl/views/search.json
new file mode 100644
index 000000000..47487be38
--- /dev/null
+++ b/web/public/locales/nl/views/search.json
@@ -0,0 +1,74 @@
+{
+  "button": {
+    "delete": "Opgeslagen zoekopdracht verwijderen",
+    "save": "Zoekopdracht opslaan",
+    "clear": "Zoekopdracht wissen",
+    "filterInformation": "Filter informatie",
+    "filterActive": "Filters actief"
+  },
+  "search": "Zoek",
+  "savedSearches": "Opgeslagen zoekopdrachten",
+  "searchFor": "Zoeken naar {{inputValue}}",
+  "trackedObjectId": "Getraceerd object-ID",
+  "filter": {
+    "label": {
+      "cameras": "Camera's",
+      "labels": "Labels",
+      "sub_labels": "Sublabels",
+      "time_range": "Tijdsbereik",
+      "before": "Voor",
+      "min_score": "Min Score",
+      "max_score": "Max Score",
+      "min_speed": "Min snelheid",
+      "recognized_license_plate": "Herkend kenteken",
+      "has_snapshot": "Heeft Snapshot",
+      "has_clip": "Heeft Clip",
+      "search_type": "Zoektype",
+      "zones": "Zones",
+      "max_speed": "Max snelheid",
+      "after": "Na"
+    },
+    "toast": {
+      "error": {
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "De ‘max_speed’ moet groter zijn dan of gelijk aan de ‘min_speed’.",
+        "beforeDateBeLaterAfter": "De 'voor' datum moet later zijn dan de 'na' datum.",
+        "afterDatebeEarlierBefore": "De ‘na’ datum moet eerder zijn dan de ‘voor’ datum.",
+        "minScoreMustBeLessOrEqualMaxScore": "De ‘min_score’ moet kleiner zijn dan of gelijk aan de ‘max_score’.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "De ‘max_score’ moet groter zijn dan of gelijk aan de ‘min_score’.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "De ‘min_snelheid’ moet kleiner zijn dan of gelijk aan de ‘max_snelheid’."
+      }
+    },
+    "tips": {
+      "title": "Hoe tekstfilters te gebruiken",
+      "desc": {
+        "example": "Voorbeeld: <code className=\"text-primary\">camera's:voordeur label:persoon vóór:01012024 tijdsbereik:15:00-16:00</code>",
+        "text": "Filters helpen je om je zoekresultaten te beperken. Zo gebruik je ze in het invoerveld:",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Typ een filternaam gevolgd door een dubbele punt (bijv. \"cameras:\").</li><li>Selecteer een waarde uit de suggesties of typ je eigen waarde.</li><li>Gebruik meerdere filters door ze achter elkaar toe te voegen, gescheiden door een spatie.</li><li>Datumfilters (before: en after:) gebruiken <em>{{DateFormat}}</em> formaat </li><li>Het tijdsfilter gebruikt <em>{{exampleTime}}</em> formaat </li><li>Verwijder filters door op de 'x' ernaast te klikken.</li></ul>",
+        "step3": "Gebruik meerdere filters door ze achter elkaar toe te voegen met een spatie ertussen.",
+        "step4": "Datumfilters (voor: en na:) gebruiken het {{DateFormat}} formaat.",
+        "step5": "Het tijdsfilter gebruikt het {{exampleTime}} als formaat.",
+        "step2": "Selecteer een waarde uit de suggesties of voer je eigen waarde in.",
+        "step1": "Typ een filtersleutelnaam gevolgd door een dubbele punt (bijv. \"camera's:\").",
+        "step6": "Verwijder filters door op de 'x' naast de filteroptie te klikken.",
+        "exampleLabel": "Voorbeeld:"
+      }
+    },
+    "searchType": {
+      "thumbnail": "Thumbnail",
+      "description": "Beschrijving"
+    },
+    "header": {
+      "currentFilterType": "Filterwaarden",
+      "noFilters": "Filters",
+      "activeFilters": "Actieve filters"
+    }
+  },
+  "similaritySearch": {
+    "active": "Gelijkenis zoeken actief",
+    "title": "Gelijkenis zoeken",
+    "clear": "Gelijksoortige zoekopdracht wissen"
+  },
+  "placeholder": {
+    "search": "Zoek…"
+  }
+}
diff --git a/web/public/locales/nl/views/settings.json b/web/public/locales/nl/views/settings.json
new file mode 100644
index 000000000..5189f57bf
--- /dev/null
+++ b/web/public/locales/nl/views/settings.json
@@ -0,0 +1,684 @@
+{
+  "documentTitle": {
+    "default": "Instellingen - Frigate",
+    "camera": "Camera-instellingen - Frigate",
+    "authentication": "Authenticatie-instellingen - Frigate",
+    "motionTuner": "Motion Tuner - Frigate",
+    "classification": "Classificatie-instellingen - Frigate",
+    "masksAndZones": "Masker- en zone-editor - Frigate",
+    "object": "Foutopsporing Frigate",
+    "general": "Algemene instellingen - Frigate",
+    "frigatePlus": "Frigate+ Instellingen - Frigate",
+    "notifications": "Meldingsinstellingen - Frigate",
+    "enrichments": "Verrijkingsinstellingen - Frigate"
+  },
+  "menu": {
+    "ui": "Gebruikersinterface",
+    "classification": "Classificatie",
+    "masksAndZones": "Maskers / Zones",
+    "motionTuner": "Bewegingsdetectie-afstellen",
+    "debug": "foutopsporing",
+    "users": "Gebruikers",
+    "notifications": "Meldingen",
+    "cameras": "Camera-instellingen",
+    "frigateplus": "Frigate+",
+    "enrichments": "Verrijkingen"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Je hebt niet-opgeslagen wijzigingen.",
+      "desc": "Wilt je jouw wijzigingen opslaan voordat u verdergaat?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Camera",
+    "noCamera": "Geen camera"
+  },
+  "general": {
+    "liveDashboard": {
+      "title": "Live-dashboard",
+      "automaticLiveView": {
+        "label": "Automatische liveweergave",
+        "desc": "Schakel automatisch over naar de liveweergave van een camera wanneer er activiteit wordt gedetecteerd. Als u deze optie uitschakelt, worden de statische camerabeelden op het live dashboard slechts eenmaal per minuut bijgewerkt."
+      },
+      "playAlertVideos": {
+        "label": "Meldingen afspelen",
+        "desc": "Standaard worden recente meldingen op het Live dashboard afgespeeld als kleine lusvideo's. Schakel deze optie uit om alleen een statische afbeelding van recente meldingen weer te geven op dit apparaat/browser."
+      }
+    },
+    "title": "Algemene instellingen",
+    "storedLayouts": {
+      "title": "Opgeslagen indelingen",
+      "clearAll": "Alle indelingen wissen",
+      "desc": "De indeling van camera's in een cameragroep kan worden versleept en in formaat worden aangepast. De posities en afmetingen worden opgeslagen in de lokale opslag van je browser."
+    },
+    "cameraGroupStreaming": {
+      "title": "Streaminginstellingen voor cameragroep",
+      "desc": "De streaminginstellingen voor elke cameragroep worden opgeslagen in de lokale opslag van uw browser.",
+      "clearAll": "Alle streaminginstellingen wissen"
+    },
+    "recordingsViewer": {
+      "title": "Opnamebekijker",
+      "defaultPlaybackRate": {
+        "label": "Standaard afspeelsnelheid",
+        "desc": "Standaard afspeelsnelheid voor het afspelen van opnames."
+      }
+    },
+    "calendar": {
+      "firstWeekday": {
+        "label": "Eerste weekdag",
+        "sunday": "Zondag",
+        "monday": "Maandag",
+        "desc": "De eerste dag van de week die in de kalender in de interface wordt weergegeven."
+      },
+      "title": "Kalender"
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Verwijderde opgeslagen indeling voor {{cameraName}}",
+        "clearStreamingSettings": "Verwijderde streaming-instellingen voor alle cameragroepen."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Het wissen van de opgeslagen indelingen is mislukt: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Het wissen van de streaminginstellingen is mislukt: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "semanticSearch": {
+      "title": "Semantisch zoeken",
+      "reindexNow": {
+        "label": "Nu opnieuw indexeren",
+        "confirmTitle": "Bevestig herindexering",
+        "confirmButton": "Opnieuw indexeren",
+        "alreadyInProgress": "Het herindexeren is al bezig.",
+        "success": "Het herindexeren is succesvol gestart.",
+        "error": "Het opnieuw indexeren is mislukt: {{errorMessage}}",
+        "desc": "Opnieuw indexeren zal embeddings regenereren voor alle gevolgde objecten. Dit proces wordt op de achtergrond uitgevoerd en kan je CPU zwaar belasten en een behoorlijke hoeveelheid tijd in beslag nemen, afhankelijk van het aantal gevolgde objecten dat je hebt.",
+        "confirmDesc": "Weet u zeker dat u alle gevolgde object-embeddings opnieuw wilt indexeren? Dit proces wordt op de achtergrond uitgevoerd, maar kan uw CPU zwaar belasten en enige tijd in beslag nemen. U kunt de voortgang bekijken op de pagina Verkennen."
+      },
+      "modelSize": {
+        "label": "Modelgrootte",
+        "desc": "De grootte van het model dat wordt gebruikt voor semantische zoekopdrachten.",
+        "small": {
+          "title": "klein",
+          "desc": "Het gebruik van <em>small</em> maakt gebruik van een gequantiseerde versie van het model die minder RAM verbruikt en sneller draait op de CPU, met een verwaarloosbaar verschil in embeddingkwaliteit."
+        },
+        "large": {
+          "title": "groot",
+          "desc": "Het gebruik van <em>large</em> maakt gebruik van het volledige Jina-model en wordt automatisch op de GPU uitgevoerd als die beschikbaar is."
+        }
+      },
+      "readTheDocumentation": "Lees de documentatie",
+      "desc": "Met semantisch zoeken in Frigate kun je getraceerde objecten in je overzichtsitems vinden aan de hand van de afbeelding zelf, een door de gebruiker gedefinieerde tekstbeschrijving of een automatisch gegenereerde beschrijving."
+    },
+    "faceRecognition": {
+      "title": "Gezichtsherkenning",
+      "modelSize": {
+        "label": "Modelgrootte",
+        "desc": "De grootte van het model dat gebruikt wordt voor gezichtsherkenning.",
+        "small": {
+          "title": "klein",
+          "desc": "Met <em>small</em> wordt een FaceNet-model voor gezichtsinbedding gebruikt dat efficiënt werkt op de meeste CPU's."
+        },
+        "large": {
+          "desc": "Het gebruik van <em>groot</em> maakt gebruik van een ArcFace-gezichtsembeddingmodel en wordt automatisch op de GPU uitgevoerd als die beschikbaar is.",
+          "title": "groot"
+        }
+      },
+      "desc": "Gezichtsherkenning maakt het mogelijk om namen aan mensen toe te wijzen. Wanneer hun gezicht wordt herkend, wijst Frigate de naam van de persoon toe als sublabel. Deze informatie is opgenomen in de gebruikersinterface, filters en meldingen.",
+      "readTheDocumentation": "Lees de documentatie"
+    },
+    "title": "Classificatie-instellingen",
+    "licensePlateRecognition": {
+      "title": "Kentekenherkenning",
+      "readTheDocumentation": "Lees de documentatie",
+      "desc": "Frigate kan kentekenplaten op voertuigen herkennen en automatisch de gedetecteerde tekens toevoegen aan het veld recognized_license_plate of een bekende naam als sublabel toekennen aan objecten van het type auto. Een veelvoorkomende toepassing is het uitlezen van kentekens van auto's die een oprit oprijden of voorbijrijden op straat."
+    },
+    "toast": {
+      "success": "Classificatie-instellingen zijn opgeslagen. Start Frigate opnieuw op om de wijzigingen toe te passen.",
+      "error": "Configuratiewijzigingen konden niet worden opgeslagen: {{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "Vogelclassificatie",
+      "desc": "Vogelclassificatie herkent bekende vogels met behulp van een gequantiseerd TensorFlow-model. Wanneer een bekende vogel wordt herkend, wordt de algemene naam toegevoegd als sublabel. Deze informatie wordt weergegeven in de interface, is beschikbaar in filters en wordt ook opgenomen in meldingen."
+    },
+    "restart_required": "Opnieuw opstarten vereist (Classificatie-instellingen gewijzigd)",
+    "unsavedChanges": "Niet-opgeslagen wijzigingen in de classificatie-instellingen"
+  },
+  "camera": {
+    "review": {
+      "title": "Beoordeel",
+      "alerts": "Meldingen ",
+      "detections": "Detecties ",
+      "desc": "Schakel waarschuwingen en detecties voor deze camera tijdelijk in of uit totdat Frigate opnieuw wordt gestart. Wanneer uitgeschakeld, worden er geen nieuwe beoordelingsitems gegenereerd. "
+    },
+    "reviewClassification": {
+      "objectAlertsTips": "Alle {{alertsLabels}}-objecten op {{cameraName}} worden weergegeven als meldingen.",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}}-objecten die zijn gedetecteerd in {{zone}} op {{cameraName}} worden weergegeven als meldingen.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}}-objecten die in {{zone}} op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties.",
+        "notSelectDetections": "Alle {{detectionsLabels}}-objecten die in {{zone}} op {{cameraName}} worden gedetecteerd en niet als waarschuwing zijn gecategoriseerd, worden weergegeven als detecties – ongeacht in welke zone ze zich bevinden.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}}-objecten die op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties – ongeacht in welke zone ze zich bevinden."
+      },
+      "selectAlertsZones": "Zones selecteren voor meldingen",
+      "selectDetectionsZones": "Selecteer zones voor detecties",
+      "limitDetections": "Beperk detecties tot specifieke zones",
+      "toast": {
+        "success": "Configuratie voor beoordelingsclassificatie is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+      },
+      "readTheDocumentation": "Lees de documentatie",
+      "noDefinedZones": "Voor deze camera zijn nog geen zones ingesteld.",
+      "desc": "Frigate categoriseert beoordelingsitems als waarschuwingen en detecties.Standaard worden alle <em>person</em>- en <em>car</em>-objecten als waarschuwingen beschouwd. Je kunt de categorisatie verfijnen door zones te configureren waarin uitsluitend deze objecten gedetecteerd moeten worden.",
+      "title": "Beoordelingsclassificatie",
+      "objectDetectionsTips": "Alle {{detectionsLabels}}-objecten die op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties, ongeacht in welke zone ze zich bevinden.",
+      "unsavedChanges": "Niet-opgeslagen classificatie-instellingen voor {{camera}}"
+    },
+    "streams": {
+      "desc": "Schakel een camera tijdelijk uit totdat Frigate opnieuw wordt gestart. Het uitschakelen van een camera stopt de verwerking van de streams van deze camera volledig door Frigate. Detectie, opname en foutopsporing zijn dan niet beschikbaar.<br /> <em>Let op: dit schakelt go2rtc-restreams niet uit.</em>",
+      "title": "Streams"
+    },
+    "title": "Camera-instellingen"
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Alle maskers en zones"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coördinaten voor {{polyName}} gekopieerd naar klembord."
+      },
+      "error": {
+        "copyCoordinatesFailed": "De coördinaten konden niet naar het klembord worden gekopieerd."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "De zonenaam moet minimaal 2 tekens lang zijn.",
+          "mustNotContainPeriod": "De zonenaam mag geen punten bevatten.",
+          "hasIllegalCharacter": "De zonenaam bevat ongeldige tekens.",
+          "mustNotBeSameWithCamera": "De zonenaam mag niet gelijk zijn aan de cameranaam.",
+          "alreadyExists": "Er bestaat al een zone met deze naam voor deze camera."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Afstand moet groter dan of gelijk zijn aan 0,1.",
+          "mustBeFilled": "Alle afstandsvelden moeten worden ingevuld om de snelheid te kunnen schatten."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "De minimale snelheid moet meer zijn dan 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "De verblijftijd moet groter dan of gelijk aan 0 zijn."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Laatste punt verwijderen",
+        "snapPoints": {
+          "true": "Verbind punten",
+          "false": "Punten niet verbinden"
+        },
+        "delete": {
+          "title": "Bevestig Verwijderen",
+          "desc": "Weet je zeker dat je de {{type}} <em>{{name}}</em> wilt verwijderen?",
+          "success": "{{name}} is verwijderd."
+        },
+        "error": {
+          "mustBeFinished": "De polygoontekening moet voltooid zijn voordat u deze kunt opslaan."
+        },
+        "reset": {
+          "label": "Alle punten wissen"
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "De snelheidsdrempel moet groter dan of gelijk zijn aan 0,1."
+        }
+      }
+    },
+    "zones": {
+      "documentTitle": "Bewerkingszone - Frigate",
+      "desc": {
+        "title": "Zones stellen je in staat om een specifiek gedeelte van het beeld te definiëren, zodat je kunt bepalen of een object zich binnen dat gebied bevindt of niet.",
+        "documentation": "Documentatie"
+      },
+      "edit": "Bewerk zone",
+      "clickDrawPolygon": "Klik om een polygoon op de afbeelding te tekenen.",
+      "name": {
+        "title": "Naam",
+        "inputPlaceHolder": "Voer een naam in…",
+        "tips": "De naam moet minimaal 2 tekens lang zijn en mag niet gelijk zijn aan de naam van een camera of een andere zone."
+      },
+      "inertia": {
+        "title": "Traagheid",
+        "desc": "Geeft aan hoeveel frames een object in een zone moet zijn voordat het als 'in de zone' wordt beschouwd. <em>Standaard: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Stationaire tijd",
+        "desc": "Stelt de minimale tijd in (in seconden) die een object in de zone moet blijven voordat deze wordt geactiveerd. <em>Standaard: 0</em>"
+      },
+      "objects": {
+        "title": "Objecten",
+        "desc": "Lijst met objecten die van toepassing zijn op deze zone."
+      },
+      "speedEstimation": {
+        "desc": "Snelheidsschatting inschakelen voor objecten in deze zone. De zone moet precies 4 punten hebben.",
+        "title": "Snelheidsschatting",
+        "docs": "Lees de documentatie",
+        "lineADistance": "Afstand van lijn A ({{unit}})",
+        "lineBDistance": "Afstand van lijn B ({{unit}})",
+        "lineCDistance": "Afstand van lijn C ({{unit}})",
+        "lineDDistance": "Afstand van lijn D ({{unit}})"
+      },
+      "speedThreshold": {
+        "desc": "Geeft een minimumsnelheid op voor objecten die in deze zone moeten worden beschouwd.",
+        "toast": {
+          "error": {
+            "pointLengthError": "De snelheidsschatting is uitgeschakeld voor deze zone. Zones met snelheidsschatting moeten precies 4 punten hebben.",
+            "loiteringTimeError": "Zones met een stationaire tijd groter dan 0 mogen niet worden gebruikt in combinatie met snelheidsschatting."
+          }
+        },
+        "title": "Snelheidsdrempel ({{unit}})"
+      },
+      "point_one": "{{count}} punt",
+      "point_other": "{{count}} punten",
+      "label": "Zones",
+      "add": "Zone toevoegen",
+      "allObjects": "Alle objecten",
+      "toast": {
+        "success": "Zone ({{zoneName}}) is opgeslagen. Start Frigate opnieuw om de wijzigingen toe te passen."
+      }
+    },
+    "motionMasks": {
+      "label": "Bewegingsmasker",
+      "documentTitle": "Bewerken Bewegingsmasker - Frigate",
+      "desc": {
+        "documentation": "Documentatie",
+        "title": "Bewegingsmaskers worden gebruikt om te voorkomen dat ongewenste vormen van beweging een detectie activeren. Te veel maskeren maakt het moeilijker om objecten te volgen."
+      },
+      "edit": "Bewerk bewegingsmasker",
+      "context": {
+        "documentation": "Lees de documentatie",
+        "title": "Bewegingsmaskers worden gebruikt om te voorkomen dat ongewenste soorten beweging een detectie activeren (bijvoorbeeld: bewegende boomtakken of tijdstempels in het camerabeeld). Bewegingsmaskers moeten <em>zeer spaarzaam</em> worden gebruikt – te veel maskeren maakt het moeilijker om objecten te volgen."
+      },
+      "clickDrawPolygon": "Klik om een polygoon op de afbeelding te tekenen.",
+      "polygonAreaTooLarge": {
+        "documentation": "Lees de documentatie",
+        "title": "Het bewegingsmasker bedekt {{polygonArea}}% van het camerabeeld. Grote bewegingsmaskers worden niet aanbevolen.",
+        "tips": "Bewegingsmaskers voorkomen niet dat objecten worden gedetecteerd. Gebruik in plaats daarvan een objectmasker."
+      },
+      "point_one": "{{count}} punt",
+      "point_other": "{{count}} punten",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} is opgeslagen. Herstart Frigate om de wijzigingen toe te passen.",
+          "noName": "Bewegingsmasker is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+        }
+      },
+      "add": "Nieuw bewegingsmasker"
+    },
+    "objectMasks": {
+      "label": "Objectmaskers",
+      "documentTitle": "Objectmasker bewerken - Frigate",
+      "desc": {
+        "title": "Objectfiltermaskers worden gebruikt om valse positieven uit te filteren voor een bepaald objecttype op basis van locatie.",
+        "documentation": "Documentatie"
+      },
+      "add": "Objectmasker toevoegen",
+      "objects": {
+        "desc": "Het objecttype dat van toepassing is op dit objectmasker.",
+        "allObjectTypes": "Alle objecttypen",
+        "title": "Objecten"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} is opgeslagen. Herstart Frigate om de wijzigingen toe te passen.",
+          "noName": "Objectmasker is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+        }
+      },
+      "point_one": "{{count}} punt",
+      "point_other": "{{count}} punten",
+      "clickDrawPolygon": "Klik om een polygoon op de afbeelding te tekenen.",
+      "context": "Objectfiltermaskers worden gebruikt om valse positieven uit te filteren voor een bepaald objecttype op basis van locatie.",
+      "edit": "Objectmasker bewerken"
+    },
+    "restart_required": "Herstart vereist (maskers/zones gewijzigd)",
+    "motionMaskLabel": "Bewegingsmasker {{number}}",
+    "objectMaskLabel": "Objectmasker {{number}} ({{label}})"
+  },
+  "motionDetectionTuner": {
+    "title": "Bewegingsdetectie-afsteller",
+    "desc": {
+      "title": "Frigate gebruikt bewegingsdetectie als eerste controle om te zien of er iets gebeurt in het frame dat de moeite waard is om te controleren met objectdetectie.",
+      "documentation": "Lees de handleiding voor bewegingsafstelling"
+    },
+    "Threshold": {
+      "title": "Drempelwaarde",
+      "desc": "De drempelwaarde bepaalt hoeveel verandering in de luminantie van een pixel nodig is om als beweging te worden beschouwd. <em>Standaard: 30</em>"
+    },
+    "contourArea": {
+      "title": "Contourgebied",
+      "desc": "De waarde voor het contourgebied wordt gebruikt om te bepalen welke groepen gewijzigde pixels in aanmerking komen als beweging. <em>Standaard: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Contrast verbeteren",
+      "desc": "Verbeter het contrast bij weinig licht. <em>Standaard: AAN</em>"
+    },
+    "toast": {
+      "success": "De bewegingsinstellingen zijn opgeslagen."
+    },
+    "unsavedChanges": "Niet-opgeslagen wijzigingen in Bewegingsdetectie-afsteller ({{camera}})"
+  },
+  "debug": {
+    "title": "Foutopsporing",
+    "desc": "De debugweergave toont een realtime overzicht van gevolgde objecten en hun statistieken. De objectlijst toont een samenvatting van gedetecteerde objecten met een tijdsvertraging.",
+    "debugging": "Foutopsporing",
+    "objectList": "Objectenlijst",
+    "noObjects": "Geen objecten",
+    "boundingBoxes": {
+      "title": "Objectkaders",
+      "desc": "Toon objectkaders rond gevolgde objecten",
+      "colors": {
+        "label": "Kleuren van objectkaders",
+        "info": "<li>Bij het opstarten wordt er een andere kleur toegewezen aan elk objectlabel.</li> <li>Een dunne donkerblauwe lijn geeft aan dat het object op dit moment niet wordt gedetecteerd.</li> <li>Een dunne grijze lijn geeft aan dat het object als stilstaand wordt herkend.</li> <li>Een dikke lijn geeft aan dat het object het doelwit is van automatische tracking (indien ingeschakeld).</li>"
+      }
+    },
+    "timestamp": {
+      "title": "Tijdstempel",
+      "desc": "Toon een tijdstempel als overlay op het beeld"
+    },
+    "zones": {
+      "desc": "Toon een overzicht van alle gedefinieerde zones",
+      "title": "Zones"
+    },
+    "mask": {
+      "title": "Bewegingsmaskers",
+      "desc": "Toon bewegingsmasker-polygonen"
+    },
+    "motion": {
+      "title": "Bewegingskaders",
+      "desc": "Toon kaders rondom gebieden waar beweging wordt gedetecteerd",
+      "tips": "<p><strong>Bewegingskaders</strong></p><br><p>Rode kaders worden over het beeld geplaatst op de plekken waar momenteel beweging wordt gedetecteerd.</p>"
+    },
+    "regions": {
+      "title": "Regio's",
+      "desc": "Toon een kader rond het interessegebied dat naar de objectdetector wordt gestuurd",
+      "tips": "<p><strong>Interessekaders</strong></p><br><p>Heldergroene kaders worden over het beeld geplaatst op de interessegebieden die naar de objectdetector worden gestuurd.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Objectvormfilter tekenen",
+      "desc": "Teken een rechthoek op het beeld om details over oppervlakte en verhouding te bekijken",
+      "document": "Lees de documentatie ",
+      "area": "Gebied",
+      "tips": "Schakel deze optie in om een rechthoek op het camerabeeld te tekenen die de oppervlakte en verhouding weergeeft. Deze waarden kunnen vervolgens worden gebruikt om parameters voor het objectvormfilter in je configuratie in te stellen.",
+      "score": "Score",
+      "ratio": "Verhouding"
+    },
+    "detectorDesc": "Frigate gebruikt je detectoren ({{detectors}}) om objecten in de videostream van je camera te detecteren."
+  },
+  "users": {
+    "title": "Gebruikers",
+    "management": {
+      "desc": "Beheer de gebruikersaccounts van deze Frigate-installatie.",
+      "title": "Gebruikersbeheer"
+    },
+    "addUser": "Gebruiker toevoegen",
+    "updatePassword": "Wachtwoord bijwerken",
+    "toast": {
+      "success": {
+        "createUser": "Gebruiker {{user}} succesvol aangemaakt",
+        "deleteUser": "Gebruiker {{user}} succesvol verwijderd",
+        "updatePassword": "Wachtwoord succesvol bijgewerkt.",
+        "roleUpdated": "De rol bijgewerkt voor {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Het wachtwoord kon niet worden opgeslagen: {{errorMessage}}",
+        "createUserFailed": "Gebruiker aanmaken mislukt: {{errorMessage}}",
+        "deleteUserFailed": "Gebruiker verwijderen mislukt: {{errorMessage}}",
+        "roleUpdateFailed": "Rol bijwerken mislukt: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "actions": "Acties",
+      "role": "Rol",
+      "noUsers": "Geen gebruikers gevonden.",
+      "changeRole": "Gebruikersrol wijzigen",
+      "password": "Wachtwoord",
+      "deleteUser": "Verwijder gebruiker",
+      "username": "Gebruikersnaam"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "desc": "Alleen letters, cijfers, punten en onderstrepingstekens zijn toegestaan.",
+          "title": "Gebruikersnaam",
+          "placeholder": "Gebruikersnaam invoeren"
+        },
+        "password": {
+          "title": "Wachtwoord",
+          "strength": {
+            "medium": "Matig",
+            "strong": "Sterk",
+            "veryStrong": "Zeer sterk",
+            "title": "Wachtwoordsterkte: ",
+            "weak": "Zwak"
+          },
+          "match": "Wachtwoorden komen overeen",
+          "confirm": {
+            "title": "Wachtwoord bevestigen",
+            "placeholder": "Wachtwoord bevestigen"
+          },
+          "placeholder": "Wachtwoord invoeren",
+          "notMatch": "Wachtwoorden komen niet overeen"
+        },
+        "newPassword": {
+          "title": "Nieuw wachtwoord",
+          "placeholder": "Voer een nieuw wachtwoord in",
+          "confirm": {
+            "placeholder": "Voer het nieuwe wachtwoord opnieuw in"
+          }
+        },
+        "usernameIsRequired": "Gebruikersnaam is vereist",
+        "passwordIsRequired": "Wachtwoord is vereist"
+      },
+      "createUser": {
+        "title": "Nieuwe gebruiker aanmaken",
+        "desc": "Voeg een nieuw gebruikersaccount toe en geef een rol op voor toegang tot onderdelen van de Frigate-interface.",
+        "usernameOnlyInclude": "Gebruikersnaam mag alleen letters, cijfers, . of _ bevatten",
+        "confirmPassword": "Bevestig uw wachtwoord"
+      },
+      "deleteUser": {
+        "title": "Verwijder gebruiker",
+        "warn": "Weet je zeker dat je <strong>{{username}}</strong> wilt verwijderen?",
+        "desc": "Deze actie kan niet ongedaan worden gemaakt. Het gebruikersaccount wordt permanent verwijderd, samen met alle bijbehorende gegevens."
+      },
+      "changeRole": {
+        "desc": "Machtigingen bijwerken voor <strong>{{username}}</strong>",
+        "title": "Gebruikersrol wijzigen",
+        "roleInfo": {
+          "intro": "Selecteer een gepaste rol voor deze gebruiker:",
+          "admin": "Beheerder",
+          "adminDesc": "Volledige toegang tot alle functies.",
+          "viewer": "Gebruiker",
+          "viewerDesc": "Alleen toegang tot Live-dashboards, Beoordelen, Verkennen en Exports."
+        },
+        "select": "Selecteer een rol"
+      },
+      "passwordSetting": {
+        "setPassword": "Wachtwoord instellen",
+        "updatePassword": "Wachtwoord bijwerken voor {{username}}",
+        "desc": "Maak een sterk wachtwoord aan om dit account te beveiligen.",
+        "cannotBeEmpty": "Het wachtwoord kan niet leeg zijn",
+        "doNotMatch": "Wachtwoorden komen niet overeen"
+      }
+    }
+  },
+  "notification": {
+    "notificationSettings": {
+      "title": "Meldingen instellen",
+      "desc": "Frigate kan rechtstreeks pushmeldingen naar uw apparaat verzenden als het in de browser actief is of als een PWA geïnstalleerd is.",
+      "documentation": "Lees de documentatie"
+    },
+    "notificationUnavailable": {
+      "title": "Meldingen niet beschikbaar",
+      "documentation": "Lees de documentatie",
+      "desc": "Webpushmeldingen vereisen een veilige omgeving (<code>https://…</code>). Dit is een beperking van de browser. Open Frigate via een beveiligde verbinding om meldingen te kunnen ontvangen."
+    },
+    "globalSettings": {
+      "title": "Globale instellingen",
+      "desc": "Meldingen voor specifieke camera's op alle geregistreerde apparaten tijdelijk uitschakelen."
+    },
+    "email": {
+      "title": "E-mail",
+      "placeholder": "bijv. voorbeeld@email.com",
+      "desc": "Een geldig e-mailadres is verplicht en wordt gebruikt om je te waarschuwen als er problemen zijn met de pushmeldingsdienst."
+    },
+    "cameras": {
+      "noCameras": "Geen camera's beschikbaar",
+      "desc": "Selecteer voor welke camera's je meldingen wilt inschakelen.",
+      "title": "Camera's"
+    },
+    "deviceSpecific": "Apparaatspecifieke instellingen",
+    "active": "Meldingen actief",
+    "suspendTime": {
+      "5minutes": "Onderbreek voor 5 minuten",
+      "30minutes": "Onderbreek voor 30 minuten",
+      "1hour": "Onderbreek voor 1 uur",
+      "12hours": "Onderbreek voor 12 uur",
+      "24hours": "Onderbreek voor 24 uur",
+      "untilRestart": "Opschorten tot herstart",
+      "10minutes": "Onderbreek voor 10 minuten",
+      "suspend": "Pauzeren"
+    },
+    "cancelSuspension": "Onderbreking annuleren",
+    "toast": {
+      "success": {
+        "settingSaved": "De instellingen voor meldingen zijn opgeslagen.",
+        "registered": "Succesvol geregistreerd voor meldingen. Het opnieuw starten van Frigate is vereist voordat meldingen kunnen worden verzonden (inclusief een testmelding)."
+      },
+      "error": {
+        "registerFailed": "Het opslaan van de meldingsregistratie is mislukt."
+      }
+    },
+    "title": "Meldingen",
+    "sendTestNotification": "Stuur een testmelding",
+    "registerDevice": "Registreer dit apparaat",
+    "unregisterDevice": "Dit apparaat afmelden",
+    "suspended": "Meldingen onderbroken {{time}}",
+    "unsavedChanges": "Niet-opgeslagen wijzigingen in meldingen",
+    "unsavedRegistrations": "Niet-opgeslagen notificatieregistraties"
+  },
+  "frigatePlus": {
+    "title": "Frigate+ Instellingen",
+    "apiKey": {
+      "title": "Frigate+ API-sleutel",
+      "plusLink": "Lees meer over Frigate+",
+      "validated": "Frigate+ API-sleutel is gedetecteerd en gevalideerd",
+      "desc": "Met de Frigate+ API-sleutel is integratie met de Frigate+ service mogelijk.",
+      "notValidated": "Frigate+ API-sleutel wordt niet gedetecteerd of niet gevalideerd"
+    },
+    "snapshotConfig": {
+      "title": "Snapshot-configuratie",
+      "desc": "Om te verzenden naar Frigate+ moeten zowel snapshots als <code>clean_copy</code>-snapshots ingeschakeld zijn in je configuratie.",
+      "documentation": "Lees de documentatie",
+      "table": {
+        "camera": "Camera",
+        "snapshots": "Snapshots",
+        "cleanCopySnapshots": "<code>clean_copy</code> Snapshots"
+      },
+      "cleanCopyWarning": "Bij sommige camera's zijn snapshots ingeschakeld, maar ontbreekt de 'clean_copy'. Om afbeeldingen van deze camera's naar Frigate+ te kunnen verzenden, moet <code>clean_copy</code> zijn ingeschakeld in de snapshotconfiguratie."
+    },
+    "modelInfo": {
+      "title": "Modelinformatie",
+      "modelType": "Type model",
+      "trainDate": "Trainingsdatum",
+      "baseModel": "Basismodel",
+      "cameras": "Camera's",
+      "error": "Het laden van modelinformatie is mislukt",
+      "loadingAvailableModels": "Beschikbare modellen laden…",
+      "modelSelect": "Je beschikbare modellen op Frigate+ kunnen hier worden geselecteerd. Houd er rekening mee dat alleen modellen die compatibel zijn met je huidige detectorconfiguratie geselecteerd kunnen worden.",
+      "dimensions": "Afmetingen",
+      "supportedDetectors": "Ondersteunde detectoren",
+      "availableModels": "Beschikbare modellen",
+      "loading": "Modelinformatie laden…",
+      "plusModelType": {
+        "baseModel": "Basismodel",
+        "userModel": "Verfijnd"
+      }
+    },
+    "toast": {
+      "success": "Frigate+ instellingen zijn opgeslagen. Herstart Frigate om de wijzigingen toe te passen.",
+      "error": "Configuratiewijzigingen konden niet worden opgeslagen: {{errorMessage}}"
+    },
+    "restart_required": "Herstart vereist (Frigate+ model gewijzigd)",
+    "unsavedChanges": "Niet-opgeslagen wijzigingen in Frigate+ instellingen"
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmDesc": "Weet u zeker dat u alle gevolgde object-embeddings opnieuw wilt indexeren? Dit proces wordt op de achtergrond uitgevoerd, maar kan uw CPU zwaar belasten en enige tijd in beslag nemen. U kunt de voortgang bekijken op de pagina Verkenner.",
+        "label": "Nu opnieuw indexeren",
+        "desc": "Opnieuw indexeren zal embeddings regenereren voor alle gevolgde objecten. Dit proces wordt op de achtergrond uitgevoerd en kan je CPU zwaar belasten en een behoorlijke hoeveelheid tijd in beslag nemen, afhankelijk van het aantal gevolgde objecten dat je hebt.",
+        "confirmButton": "Opnieuw indexeren",
+        "success": "Het herindexeren is succesvol gestart.",
+        "alreadyInProgress": "Het herindexeren is al bezig.",
+        "error": "Het opnieuw indexeren is mislukt: {{errorMessage}}",
+        "confirmTitle": "Bevestig herindexering"
+      },
+      "modelSize": {
+        "large": {
+          "title": "groot",
+          "desc": "Het gebruik van <em>large</em> maakt gebruik van het volledige Jina-model en wordt automatisch op de GPU uitgevoerd als die beschikbaar is."
+        },
+        "label": "Modelgrootte",
+        "desc": "De grootte van het model dat wordt gebruikt voor semantische zoekopdrachten.",
+        "small": {
+          "title": "klein",
+          "desc": "Het gebruik van <em>small</em> maakt gebruik van een gequantiseerde versie van het model die minder RAM verbruikt en sneller draait op de CPU, met een verwaarloosbaar verschil in embeddingkwaliteit."
+        }
+      },
+      "title": "Semantisch zoeken",
+      "desc": "Semantisch zoeken in Frigate stelt je in staat om getraceerde objecten binnen je review-items te vinden, met behulp van de afbeelding zelf, een door de gebruiker gedefinieerde tekstbeschrijving of een automatisch gegenereerde beschrijving.",
+      "readTheDocumentation": "Lees de documentatie"
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "small": {
+          "desc": "Met <em>small</em> wordt een FaceNet-model voor gezichtsinbedding gebruikt dat efficiënt werkt op de meeste CPU's.",
+          "title": "klein"
+        },
+        "desc": "De grootte van het model dat gebruikt wordt voor gezichtsherkenning.",
+        "label": "Modelgrootte",
+        "large": {
+          "title": "groot",
+          "desc": "Het gebruik van <em>groot</em> maakt gebruik van een ArcFace-gezichtsembeddingmodel en wordt automatisch op de GPU uitgevoerd als die beschikbaar is."
+        }
+      },
+      "desc": "Gezichtsherkenning maakt het mogelijk om namen aan mensen toe te wijzen. Wanneer hun gezicht wordt herkend, wijst Frigate de naam van de persoon toe als sublabel. Deze informatie is opgenomen in de gebruikersinterface, filters en meldingen.",
+      "title": "Gezichtsherkenning",
+      "readTheDocumentation": "Lees de documentatie"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate kan kentekenplaten op voertuigen herkennen en automatisch de gedetecteerde tekens toevoegen aan het veld recognized_license_plate of een bekende naam als sublabel toekennen aan objecten van het type auto. Een veelvoorkomende toepassing is het uitlezen van kentekens van auto's die een oprit oprijden of voorbijrijden op straat.",
+      "title": "Kentekenherkenning",
+      "readTheDocumentation": "Lees de documentatie"
+    },
+    "birdClassification": {
+      "desc": "Vogelclassificatie herkent bekende vogels met behulp van een gequantiseerd TensorFlow-model. Wanneer een bekende vogel wordt herkend, wordt de algemene naam toegevoegd als sublabel. Deze informatie wordt weergegeven in de interface, is beschikbaar in filters en wordt ook opgenomen in meldingen.",
+      "title": "Vogelclassificatie"
+    },
+    "title": "Verrijkingsinstellingen",
+    "unsavedChanges": "Niet-opgeslagen wijzigingen in verrijkingsinstellingen",
+    "restart_required": "Opnieuw opstarten vereist (verrijkingsinstellingen gewijzigd)",
+    "toast": {
+      "success": "Verrijkingsinstellingen zijn opgeslagen. Start Frigate opnieuw op om je wijzigingen toe te passen.",
+      "error": "Configuratiewijzigingen konden niet worden opgeslagen: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/nl/views/system.json b/web/public/locales/nl/views/system.json
new file mode 100644
index 000000000..7d039d08e
--- /dev/null
+++ b/web/public/locales/nl/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "general": "Algemene Statistieken - Frigate",
+    "logs": {
+      "nginx": "Nginx Logboeken - Frigate",
+      "go2rtc": "Go2RTC Logboeken - Frigate",
+      "frigate": "Frigate Logboek - Frigate"
+    },
+    "storage": "Opslag Statistieken - Frigate",
+    "cameras": "Camera Statistieken - Frigate",
+    "enrichments": "Verrijkings Statistieken - Frigate"
+  },
+  "title": "Systeem",
+  "metrics": "Systeem statistieken",
+  "logs": {
+    "download": {
+      "label": "Logs Downloaden"
+    },
+    "copy": {
+      "label": "Kopieeren naar klembord",
+      "success": "Logs zijn gekopieerd naar klembord",
+      "error": "Logs kopieeren naar klembord mislukt"
+    },
+    "type": {
+      "timestamp": "Tijdsvermelding",
+      "message": "Bericht",
+      "tag": "Tag",
+      "label": "Type"
+    },
+    "toast": {
+      "error": {
+        "whileStreamingLogs": "Fout bij streamen van logs: {{errorMessage}}",
+        "fetchingLogsFailed": "Fout bij ophalen van logs: {{errorMessage}}"
+      }
+    },
+    "tips": "Logs worden gestreamd vanaf de server"
+  },
+  "general": {
+    "detector": {
+      "title": "Detectoren",
+      "cpuUsage": "Detector CPU-verbruik",
+      "memoryUsage": "Detector Geheugen Gebruik",
+      "inferenceSpeed": "Detector Interferentie Snelheid",
+      "temperature": "Detectortemperatuur"
+    },
+    "hardwareInfo": {
+      "title": "Systeem Gegevens",
+      "gpuUsage": "GPU-verbruik",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo Resultaat",
+          "returnCode": "Terugvoer Code: {{code}}",
+          "processError": "Process Fout:",
+          "processOutput": "Process Resultaat:"
+        },
+        "nvidiaSMIOutput": {
+          "name": "Naam: {{name}}",
+          "vbios": "VBios Informatie: {{vbios}}",
+          "cudaComputerCapability": "CUDA Verwerking Capaciteit: {{cuda_compute}}",
+          "driver": "Stuurprogramma: {{driver}}",
+          "title": "Nvidia SMI Uitvoer"
+        },
+        "closeInfo": {
+          "label": "Sluit GPU info"
+        },
+        "copyInfo": {
+          "label": "Kopieer GPU Info"
+        },
+        "toast": {
+          "success": "GPU info gekopieerd naar klembord"
+        }
+      },
+      "gpuDecoder": "GPU Decodeerder",
+      "gpuEncoder": "GPU Encodeerder",
+      "gpuMemory": "GPU-geheugen",
+      "npuUsage": "NPU-gebruik",
+      "npuMemory": "NPU-geheugen"
+    },
+    "otherProcesses": {
+      "processMemoryUsage": "Process Geheugen Gebruik",
+      "processCpuUsage": "Process CPU-verbruik",
+      "title": "Verdere Processen"
+    },
+    "title": "Algemeen"
+  },
+  "storage": {
+    "overview": "Overzicht",
+    "recordings": {
+      "title": "Opnames",
+      "earliestRecording": "Oudste beschikbare opname:",
+      "tips": "Deze waarde laat het totale opslag ruimte gebruik voor opnames zien in de database van Frigate. Frigate houdt geen opslag gebruiks gegevens bij van alle bestanden op uw schijf."
+    },
+    "cameraStorage": {
+      "title": "Camera Opslag",
+      "unusedStorageInformation": "Ongebruikte opslagruimte informatie",
+      "storageUsed": "Opslag",
+      "percentageOfTotalUsed": "Percentage van Totaal",
+      "unused": {
+        "title": "Ongebruikt",
+        "tips": "Deze waarde kan de beschikbare opslag ruimte voor Frigate niet goed weergeven indien er ook andere bestanden op de schijf staan. Frigate houdt geen opslag gegevens bij van bestanden buiten haar eigen opnames."
+      },
+      "camera": "Camera",
+      "bandwidth": "Bandbreedte"
+    },
+    "title": "Opslag"
+  },
+  "cameras": {
+    "title": "Cameras",
+    "overview": "Overzicht",
+    "info": {
+      "cameraProbeInfo": "{{camera}} Informatie opgehaald uit de camerastream",
+      "streamDataFromFFPROBE": "Streamgegevens zijn ontvangen via <code>ffprobe</code>.",
+      "stream": "Stream {{idx}}",
+      "resolution": "Resolutie:",
+      "unknown": "Onbekend",
+      "error": "Fout: {{error}}",
+      "tips": {
+        "title": "Informatie ophalen uit de camerastream"
+      },
+      "fps": "FPS:",
+      "codec": "Codec:",
+      "video": "Video:",
+      "fetching": "Camera Gegevens Opvragen",
+      "audio": "Audio:",
+      "aspectRatio": "beeldverhouding"
+    },
+    "framesAndDetections": "Frames / Detecties",
+    "label": {
+      "camera": "camera",
+      "detect": "detectie",
+      "skipped": "overgeslagen",
+      "ffmpeg": "FFmpeg",
+      "capture": "registratie",
+      "overallSkippedDetectionsPerSecond": "totaal aantal overgeslagen detecties per seconde",
+      "overallFramesPerSecond": "totale aantal frames per seconde",
+      "overallDetectionsPerSecond": "totale aantal detecties per seconde",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraFramesPerSecond": "{{camName}} frames per seconde",
+      "cameraDetectionsPerSecond": "{{camName}} detecties per seconde",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} overgeslagen detecties per seconde",
+      "cameraCapture": "{{camName}} opname",
+      "cameraDetect": "{{camName}} detecteren"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Uitvraag gegevens naar klembord gekopieerd."
+      },
+      "error": {
+        "unableToProbeCamera": "Kan camera niet uitvragen: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Voor het laatst vernieuwd: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} zorgt voor hoge FFmpeg CPU belasting ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} zorgt voor hoge detectie CPU belasting ({{detectAvg}}%)",
+    "healthy": "Systeem is gezond",
+    "reindexingEmbeddings": "Herindexering van inbeddingen ({{processed}}% compleet)",
+    "detectIsSlow": "{{detect}} is traag ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} is erg traag ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} is offline"
+  },
+  "enrichments": {
+    "title": "Verrijkingen",
+    "infPerSecond": "Interferenties Per Seconde",
+    "embeddings": {
+      "image_embedding_speed": "Afbeelding Inplaatsings Snelheid",
+      "face_embedding_speed": "Gezicht Inplaatsings Snelheid",
+      "text_embedding_speed": "Text Inplaatsing Snelheid",
+      "plate_recognition_speed": "Kentekenplaat Herkenning Snelheid",
+      "face_recognition_speed": "Snelheid van gezichtsherkenning",
+      "image_embedding": "Afbeelding Inbedden",
+      "text_embedding": "Tekstinbedden",
+      "face_recognition": "Gezichtsherkenning",
+      "yolov9_plate_detection_speed": "YOLOv9 Kentekenplaat Detectiesnelheid",
+      "yolov9_plate_detection": "YOLOv9 Kentekenplaatdetectie",
+      "plate_recognition": "Kentekenherkenning"
+    }
+  }
+}
diff --git a/web/public/locales/pl/audio.json b/web/public/locales/pl/audio.json
new file mode 100644
index 000000000..62cd7b465
--- /dev/null
+++ b/web/public/locales/pl/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "Mowa",
+  "babbling": "Gaworzenie",
+  "yell": "Krzyk",
+  "bellow": "Ryk",
+  "whoop": "Okrzyk",
+  "whispering": "Szept",
+  "laughter": "Śmiech",
+  "snicker": "Chichot",
+  "crying": "Płacz",
+  "sigh": "Westchnienie",
+  "singing": "Śpiewanie",
+  "choir": "Chór",
+  "yodeling": "Jodłowanie",
+  "chant": "Skandowanie",
+  "mantra": "Mantra",
+  "child_singing": "Śpiew dziecka",
+  "synthetic_singing": "Śpiew syntetyczny",
+  "rapping": "Rapowanie",
+  "humming": "Nucenie",
+  "groan": "Jęk",
+  "grunt": "Chrząknięcie",
+  "whistling": "Gwizdanie",
+  "breathing": "Oddychanie",
+  "wheeze": "Świszczący oddech",
+  "snoring": "Chrapanie",
+  "gasp": "Sapnięcie",
+  "pant": "Dyszenie",
+  "snort": "Prychnięcie",
+  "cough": "Kaszel",
+  "throat_clearing": "Odchrząkiwanie",
+  "sneeze": "Kichnięcie",
+  "sniff": "Pociągnięcie nosem",
+  "run": "Bieg",
+  "shuffle": "Szuranie",
+  "footsteps": "Kroki",
+  "chewing": "Żucie",
+  "biting": "Gryzienie",
+  "gargling": "Płukanie gardła",
+  "stomach_rumble": "Burczenie w brzuchu",
+  "burping": "Bekanie",
+  "hiccup": "Czkawka",
+  "pets": "Zwierzęta domowe",
+  "finger_snapping": "Pstrykanie palcami",
+  "heartbeat": "Bicie serca",
+  "dog": "Pies",
+  "heart_murmur": "Szmer serca",
+  "chatter": "Gwar",
+  "children_playing": "Bawiące się dzieci",
+  "animal": "Zwierzę",
+  "applause": "Oklaski",
+  "cheering": "Wiwatowanie",
+  "bark": "Szczekanie",
+  "fart": "Pierdnięcie",
+  "hands": "Dłonie",
+  "clapping": "Klaskanie",
+  "crowd": "Tłum",
+  "hiss": "Syczenie",
+  "purr": "Mruczenie",
+  "yip": "Poszczekiwanie",
+  "howl": "Wycie",
+  "growling": "Warczenie",
+  "meow": "Miauczenie",
+  "bow_wow": "Hau hau",
+  "whimper_dog": "Skomlenie psa",
+  "cat": "Kot",
+  "caterwaul": "Koci wrzask",
+  "livestock": "Zwierzęta hodowlane",
+  "horse": "Koń",
+  "clip_clop": "Stukot kopyt",
+  "neigh": "Rżenie",
+  "cattle": "Bydło",
+  "moo": "Muczenie",
+  "cowbell": "Krowi dzwonek",
+  "goat": "Koza",
+  "bleat": "Beczenie",
+  "pig": "Świnia",
+  "oink": "Chrumkanie",
+  "sheep": "Owca",
+  "fowl": "Drób",
+  "chicken": "Kura",
+  "cluck": "Gdakanie",
+  "cock_a_doodle_doo": "Kukuryku",
+  "turkey": "Indyk",
+  "gobble": "Gulgotanie",
+  "duck": "Kaczka",
+  "quack": "Kwakanie",
+  "goose": "Gęś",
+  "honk": "Gęganie",
+  "wild_animals": "Dzikie zwierzęta",
+  "roaring_cats": "Ryczące koty",
+  "roar": "Ryk",
+  "bird": "Ptak",
+  "chirp": "Ćwierkanie",
+  "squawk": "Skrzeczenie",
+  "pigeon": "Gołąb",
+  "coo": "Gruchanie",
+  "crow": "Wrona",
+  "caw": "Krakanie",
+  "owl": "Sowa",
+  "hoot": "Pohukiwanie",
+  "flapping_wings": "Trzepot skrzydeł",
+  "insect": "Owad",
+  "cricket": "Świerszcz",
+  "mosquito": "Komar",
+  "fly": "Mucha",
+  "buzz": "Bzyczenie",
+  "frog": "Żaba",
+  "croak": "Kumkanie",
+  "snake": "Wąż",
+  "rattle": "Grzechotanie",
+  "whale_vocalization": "Wokalizacja wieloryba",
+  "music": "Muzyka",
+  "plucked_string_instrument": "Instrument strunowy szarpany",
+  "guitar": "Gitara",
+  "electric_guitar": "Gitara elektryczna",
+  "bass_guitar": "Gitara basowa",
+  "acoustic_guitar": "Gitara akustyczna",
+  "steel_guitar": "Gitara stalowa",
+  "tapping": "Tapowanie",
+  "strum": "Szarpnięcie strun",
+  "sitar": "Sitar",
+  "mandolin": "Mandolina",
+  "zither": "Cytra",
+  "ukulele": "Ukulele",
+  "keyboard": "Klawiatura",
+  "rimshot": "Rimshot",
+  "drum_roll": "Werbel (tremolo)",
+  "bass_drum": "Bęben basowy",
+  "timpani": "Kotły",
+  "tabla": "Tabla",
+  "cymbal": "Talerz",
+  "hi_hat": "Hi-hat",
+  "wood_block": "Pudełko drewniane",
+  "tambourine": "Tamburyn",
+  "maraca": "Marakasy",
+  "gong": "Gong",
+  "brass_instrument": "Instrument dęty blaszany",
+  "french_horn": "Waltornia",
+  "tubular_bells": "Dzwony rurowe",
+  "mallet_percussion": "Instrumenty perkusyjne pałkowe",
+  "marimba": "Marimba",
+  "glockenspiel": "Dzwonki",
+  "vibraphone": "Wibrafon",
+  "steelpan": "Instrument z beczek",
+  "orchestra": "Orkiestra",
+  "trumpet": "Trąbka",
+  "trombone": "Puzon",
+  "bowed_string_instrument": "Instrument strunowy smyczkowy",
+  "string_section": "Sekcja smyczkowa",
+  "violin": "Skrzypce",
+  "pizzicato": "Pizzicato",
+  "double_bass": "Kontrabas",
+  "wind_instrument": "Instrument dęty",
+  "saxophone": "Saksofon",
+  "clarinet": "Klarnet",
+  "harp": "Harfa",
+  "bell": "Dzwonek",
+  "church_bell": "Dzwon kościelny",
+  "jingle_bell": "Dzwoneczek",
+  "bicycle_bell": "Dzwonek rowerowy",
+  "tuning_fork": "Kamerton",
+  "chime": "Dzwonki",
+  "wind_chime": "Dzwonki wietrzne",
+  "harmonica": "Harmonijka",
+  "accordion": "Akordeon",
+  "bagpipes": "Dudy",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Misa dźwiękowa",
+  "scratching": "Scratching",
+  "pop_music": "Muzyka pop",
+  "hip_hop_music": "Muzyka hip-hopowa",
+  "beatboxing": "Beatbox",
+  "rock_music": "Muzyka rockowa",
+  "heavy_metal": "Heavy metal",
+  "punk_rock": "Punk rock",
+  "grunge": "Grunge",
+  "progressive_rock": "Rock progresywny",
+  "rock_and_roll": "Rock and roll",
+  "psychedelic_rock": "Rock psychodeliczny",
+  "rhythm_and_blues": "Rhythm and blues",
+  "soul_music": "Muzyka soul",
+  "reggae": "Reggae",
+  "country": "Country",
+  "swing_music": "Muzyka swingowa",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Muzyka folkowa",
+  "middle_eastern_music": "Muzyka bliskowschodnia",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Muzyka klasyczna",
+  "opera": "Opera",
+  "electronic_music": "Muzyka elektroniczna",
+  "house_music": "Muzyka house",
+  "electronica": "Electronica",
+  "electronic_dance_music": "Muzyka elektroniczna taneczna",
+  "ambient_music": "Muzyka ambient",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and bass",
+  "trance_music": "Muzyka trance",
+  "music_of_latin_america": "Muzyka Latynowska",
+  "salsa_music": "Muzyka salsa",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Muzyka dla dzieci",
+  "new-age_music": "Muzyka new age",
+  "vocal_music": "Muzyka wokalna",
+  "a_capella": "A cappella",
+  "music_of_africa": "Muzyka afrykańska",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Muzyka chrześcijańska",
+  "gospel_music": "Muzyka gospel",
+  "music_of_asia": "Muzyka azjatycka",
+  "carnatic_music": "Muzyka karnatycka",
+  "music_of_bollywood": "Muzyka bollywood",
+  "ska": "Ska",
+  "independent_music": "Muzyka niezależna",
+  "song": "Piosenka",
+  "background_music": "Muzyka tła",
+  "theme_music": "Muzyka tematyczna",
+  "jingle": "Dżingiel",
+  "soundtrack_music": "Muzyka filmowa",
+  "lullaby": "Kołysanka",
+  "video_game_music": "Muzyka z gier wideo",
+  "christmas_music": "Muzyka świąteczna",
+  "dance_music": "Muzyka taneczna",
+  "wedding_music": "Muzyka weselna",
+  "happy_music": "Muzyka radosna",
+  "sad_music": "Muzyka smutna",
+  "tender_music": "Muzyka łagodna",
+  "exciting_music": "Muzyka ekscytująca",
+  "angry_music": "Muzyka gniewna",
+  "scary_music": "Muzyka straszna",
+  "wind": "Wiatr",
+  "rustling_leaves": "Szeleszczące liście",
+  "wind_noise": "Szum wiatru",
+  "thunderstorm": "Burza",
+  "thunder": "Grzmot",
+  "water": "Woda",
+  "rain": "Deszcz",
+  "raindrop": "Kropla deszczu",
+  "rain_on_surface": "Deszcz na powierzchni",
+  "stream": "Strumień",
+  "waterfall": "Wodospad",
+  "ocean": "Ocean",
+  "fire": "Ogień",
+  "boat": "Łódź",
+  "sailboat": "Żaglówka",
+  "motorboat": "Motorówka",
+  "ship": "Statek",
+  "motor_vehicle": "Pojazd silnikowy",
+  "car": "Samochód",
+  "toot": "Klakson",
+  "car_alarm": "Alarm samochodowy",
+  "power_windows": "Elektryczne szyby",
+  "skidding": "Poślizg",
+  "tire_squeal": "Pisk opon",
+  "ambulance": "Karetka",
+  "fire_engine": "Wóz strażacki",
+  "motorcycle": "Motocykl",
+  "traffic_noise": "Hałas uliczny",
+  "rail_transport": "Transport kolejowy",
+  "train": "Pociąg",
+  "train_whistle": "Gwizd pociągu",
+  "train_horn": "Sygnał dźwiękowy pociągu",
+  "railroad_car": "Wagon kolejowy",
+  "train_wheels_squealing": "Pisk kół pociągu",
+  "subway": "Metro",
+  "aircraft": "Statek powietrzny",
+  "aircraft_engine": "Silnik samolotu",
+  "jet_engine": "Silnik odrzutowy",
+  "propeller": "Śmigło",
+  "helicopter": "Helikopter",
+  "fixed-wing_aircraft": "Samolot",
+  "bicycle": "Rower",
+  "skateboard": "Deskorolka",
+  "engine": "Silnik",
+  "light_engine": "Lekki silnik",
+  "dental_drill's_drill": "Wiertło dentystyczne",
+  "lawn_mower": "Kosiarka do trawy",
+  "chainsaw": "Piła łańcuchowa",
+  "medium_engine": "Średni silnik",
+  "heavy_engine": "Ciężki silnik",
+  "engine_knocking": "Stukanie silnika",
+  "engine_starting": "Uruchamianie silnika",
+  "idling": "Praca na biegu jałowym",
+  "accelerating": "Przyspieszanie",
+  "door": "Drzwi",
+  "doorbell": "Dzwonek do drzwi",
+  "ding-dong": "Ding-dong",
+  "sliding_door": "Drzwi przesuwne",
+  "slam": "Trzaśnięcie",
+  "knock": "Pukanie",
+  "tap": "Stukanie",
+  "frying": "Smażenie",
+  "microwave_oven": "Kuchenka mikrofalowa",
+  "blender": "Blender",
+  "water_tap": "Kran",
+  "sink": "Zlew",
+  "bathtub": "Wanna",
+  "hair_dryer": "Suszarka do włosów",
+  "toilet_flush": "Spłuczka toalety",
+  "toothbrush": "Szczoteczka do zębów",
+  "electric_toothbrush": "Elektryczna szczoteczka do zębów",
+  "vacuum_cleaner": "Odkurzacz",
+  "zipper": "Zamek błyskawiczny",
+  "keys_jangling": "Brzęk kluczy",
+  "coin": "Moneta",
+  "shuffling_cards": "Tasowanie kart",
+  "typing": "Pisanie na klawiaturze",
+  "typewriter": "Maszyna do pisania",
+  "computer_keyboard": "Klawiatura komputerowa",
+  "writing": "Pisanie",
+  "alarm": "Alarm",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Dzwonek telefonu",
+  "ringtone": "Dzwonek",
+  "telephone_dialing": "Wybieranie numeru",
+  "dial_tone": "Sygnał wybierania",
+  "busy_signal": "Sygnał zajętości",
+  "alarm_clock": "Budzik",
+  "siren": "Syrena",
+  "civil_defense_siren": "Syrena obrony cywilnej",
+  "buzzer": "Brzęczyk",
+  "smoke_detector": "Czujnik dymu",
+  "fire_alarm": "Alarm pożarowy",
+  "foghorn": "Sygnał mgłowy",
+  "whistle": "Gwizdek",
+  "steam_whistle": "Gwizdek parowy",
+  "drum_machine": "Automat perkusyjny",
+  "rats": "Szczury",
+  "harpsichord": "Klawesyn",
+  "musical_instrument": "Instrument muzyczny",
+  "organ": "Organy",
+  "dogs": "Psy",
+  "piano": "Fortepian",
+  "synthesizer": "Syntezator",
+  "sampler": "Sampler",
+  "electronic_organ": "Organy elektroniczne",
+  "patter": "Tupot",
+  "drum": "Bęben",
+  "banjo": "Banjo",
+  "snare_drum": "Werbel",
+  "mouse": "Mysz",
+  "electric_piano": "Pianino elektryczne",
+  "percussion": "Perkusja",
+  "hammond_organ": "Organy Hammonda",
+  "drum_kit": "Zestaw perkusyjny",
+  "air_brake": "Hamulec pneumatyczny",
+  "flute": "Flet",
+  "rowboat": "Łódź wiosłowa",
+  "squeak": "Skrzypienie",
+  "cupboard_open_or_close": "Otwieranie lub zamykanie szafki",
+  "chopping": "Siekanie",
+  "cello": "Wiolonczela",
+  "dishes": "Naczynia",
+  "cutlery": "Sztućce",
+  "car_passing_by": "Przejeżdżający samochód",
+  "ice_cream_truck": "Samochód z lodami",
+  "waves": "Fale",
+  "race_car": "Samochód wyścigowy",
+  "steam": "Para",
+  "reversing_beeps": "Sygnał cofania",
+  "police_car": "Radiowóz",
+  "bus": "Autobus",
+  "emergency_vehicle": "Pojazd uprzywilejowany",
+  "drawer_open_or_close": "Otwieranie lub zamykanie szuflady",
+  "traditional_music": "Muzyka tradycyjna",
+  "electric_shaver": "Elektryczna golarka",
+  "gurgling": "Bulgotanie",
+  "crackle": "Trzask",
+  "vehicle": "Pojazd",
+  "air_horn": "Klakson pneumatyczny",
+  "truck": "Ciężarówka",
+  "scissors": "Nożyczki",
+  "mechanisms": "Mechanizmy",
+  "ratchet": "Zapadka",
+  "tick-tock": "Tik-tak",
+  "gears": "Przekładnie",
+  "sewing_machine": "Maszyna do szycia",
+  "mechanical_fan": "Wentylator mechaniczny",
+  "air_conditioning": "Klimatyzacja",
+  "cash_register": "Kasa fiskalna",
+  "printer": "Drukarka",
+  "camera": "Kamera",
+  "single-lens_reflex_camera": "Lustrzanka jednooobiektywowa",
+  "tools": "Narzędzia",
+  "hammer": "Młotek",
+  "jackhammer": "Młot pneumatyczny",
+  "sawing": "Piłowanie",
+  "filing": "Pilnikowanie",
+  "power_tool": "Elektronarzędzie",
+  "drill": "Wiertarka",
+  "explosion": "Eksplozja",
+  "gunshot": "Strzał",
+  "machine_gun": "Karabin maszynowy",
+  "fusillade": "Kanonada",
+  "artillery_fire": "Ogień artyleryjski",
+  "cap_gun": "Pistolet na kapiszony",
+  "fireworks": "Fajerwerki",
+  "firecracker": "Petarda",
+  "burst": "Wybuch",
+  "eruption": "Erupcja",
+  "boom": "Huk",
+  "wood": "Drewno",
+  "chop": "Rąbanie",
+  "splinter": "Drzazga",
+  "crack": "Pęknięcie",
+  "glass": "Szkło",
+  "chink": "Brzęk",
+  "shatter": "Rozbicie",
+  "silence": "Cisza",
+  "sound_effect": "Efekt dźwiękowy",
+  "environmental_noise": "Hałas otoczenia",
+  "static": "Szum",
+  "white_noise": "Biały szum",
+  "pink_noise": "Różowy szum",
+  "television": "Telewizor",
+  "radio": "Radio",
+  "field_recording": "Nagranie terenowe",
+  "scream": "Wrzask",
+  "pulleys": "Bloczki",
+  "sanding": "Szlifowanie",
+  "clock": "Zegar",
+  "tick": "Tykanie"
+}
diff --git a/web/public/locales/pl/common.json b/web/public/locales/pl/common.json
new file mode 100644
index 000000000..00f14d246
--- /dev/null
+++ b/web/public/locales/pl/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "12hours": "12 godzin",
+    "1hour": "1 godzina",
+    "24hours": "24 godziny",
+    "last7": "Ostatnie 7 dni",
+    "last14": "Ostatnie 14 dni",
+    "last30": "Ostatnie 30 dni",
+    "thisWeek": "Ten tydzień",
+    "lastWeek": "Ostatni tydzień",
+    "thisMonth": "Ten miesiąc",
+    "lastMonth": "Ostatni miesiąc",
+    "5minutes": "5 minut",
+    "10minutes": "10 minut",
+    "30minutes": "30 minut",
+    "untilForTime": "Do {{time}}",
+    "untilForRestart": "Do czasu restartu Frigate.",
+    "untilRestart": "Do restartu",
+    "ago": "{{timeAgo}} temu",
+    "justNow": "Właśnie teraz",
+    "today": "Dzisiaj",
+    "yesterday": "Wczoraj",
+    "pm": "po południu",
+    "am": "przed południem",
+    "yr": "{{time}}r.",
+    "year_one": "{{time}} rok",
+    "year_few": "{{time}} lata",
+    "year_many": "{{time}} lat",
+    "mo": "{{time}}m.",
+    "d": "{{time}}d.",
+    "day_one": "{{time}} dzień",
+    "day_few": "{{time}} dni",
+    "day_many": "{{time}} dni",
+    "h": "{{time}}godz.",
+    "m": "{{time}}min.",
+    "s": "{{time}}s.",
+    "month_one": "{{time}} miesiąc",
+    "month_few": "{{time}} miesiące",
+    "month_many": "{{time}} miesięcy",
+    "hour_one": "{{time}} godzina",
+    "hour_few": "{{time}} godziny",
+    "hour_many": "{{time}} godzin",
+    "minute_one": "{{time}} minuta",
+    "minute_few": "{{time}} minuty",
+    "minute_many": "{{time}} minut",
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%b %-d, %I:%M %p",
+      "24hour": "%b %-d, %H:%M"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "%b %-d %Y, %I:%M %p",
+      "24hour": "%b %-d %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "second_one": "{{time}} sekunda",
+    "second_few": "{{time}} sekundy",
+    "second_many": "{{time}} sekund",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMMM yyyy",
+      "24hour": "d MMMM yyyy"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "stopy",
+      "meters": "metry"
+    }
+  },
+  "label": {
+    "back": "Wróć"
+  },
+  "button": {
+    "apply": "Zastosuj",
+    "reset": "Resetuj",
+    "done": "Gotowe",
+    "enabled": "Włączone",
+    "enable": "Włącz",
+    "disable": "Wyłącz",
+    "save": "Zapisz",
+    "history": "Historia",
+    "fullscreen": "Pełny ekran",
+    "exitFullscreen": "Wyjdź z pełnego ekranu",
+    "pictureInPicture": "Obraz w obrazie",
+    "delete": "Usuń",
+    "yes": "Tak",
+    "no": "Nie",
+    "download": "Pobierz",
+    "info": "Informacje",
+    "suspended": "Wstrzymane",
+    "unsuspended": "Wznów",
+    "play": "Odtwórz",
+    "unselect": "Odznacz",
+    "export": "Eksportuj",
+    "deleteNow": "Usuń teraz",
+    "next": "Dalej",
+    "disabled": "Wyłączone",
+    "back": "Wstecz",
+    "saving": "Zapisywanie…",
+    "on": "WŁĄCZ",
+    "cancel": "Anuluj",
+    "twoWayTalk": "Komunikacja dwustronna",
+    "close": "Zamknij",
+    "copy": "Kopiuj",
+    "cameraAudio": "Dźwięk kamery",
+    "off": "WYŁĄCZ",
+    "edit": "Edytuj",
+    "copyCoordinates": "Kopiuj współrzędne"
+  },
+  "menu": {
+    "system": "System",
+    "systemMetrics": "Metryki systemowe",
+    "configuration": "Konfiguracja",
+    "systemLogs": "Logi systemowe",
+    "languages": "Języki",
+    "language": {
+      "en": "English (Angielski)",
+      "zhCN": "简体中文 (Uproszczony Chiński)",
+      "withSystem": {
+        "label": "Użyj ustawień systemowych dla języka"
+      },
+      "es": "Español (Hiszpański)",
+      "cs": "Čeština (Czeski)",
+      "pl": "Polski (Polski)",
+      "hi": "हिन्दी (hinduski)",
+      "ar": "العربية (arabski)",
+      "fr": "Français (francuski)",
+      "pt": "Português (portugalski)",
+      "ru": "Русский (rosyjski)",
+      "de": "Deutsch (niemiecki)",
+      "ja": "日本語 (japoński)",
+      "tr": "Türkçe (Turecki)",
+      "it": "Italiano (Włoski)",
+      "nl": "Nederlands (Holenderski)",
+      "sv": "Svenska (Szwedzki)",
+      "nb": "Norsk Bokmål (Norweski)",
+      "ko": "한국어 (Koreański)",
+      "fa": "فارسی (Perski)",
+      "uk": "Українська (Ukraiński)",
+      "he": "עברית (Hebrajski)",
+      "el": "Ελληνικά (Grecki)",
+      "hu": "Magyar (Węgierski)",
+      "da": "Dansk (Duński)",
+      "sk": "Slovenčina (Słowacki)",
+      "vi": "Tiếng Việt (Wietnamski)",
+      "ro": "Română (Rumuński)",
+      "fi": "Suomi (Fiński)",
+      "yue": "粵語 (Kantoński)",
+      "th": "ไทย (Tajski)",
+      "ca": "Català (Kataloński)"
+    },
+    "appearance": "Wygląd",
+    "darkMode": {
+      "label": "Tryb ciemny",
+      "light": "Jasny",
+      "dark": "Ciemny",
+      "withSystem": {
+        "label": "Użyj ustawień systemowych dla trybu jasnego/ciemnego"
+      }
+    },
+    "withSystem": "System",
+    "theme": {
+      "label": "Motyw",
+      "blue": "Niebieski",
+      "green": "Zielony",
+      "contrast": "Wysoki kontrast",
+      "default": "Domyślny",
+      "red": "Czerwony",
+      "nord": "Nordycki",
+      "highcontrast": "Wysoki kontrast"
+    },
+    "restart": "Uruchom ponownie Frigate",
+    "live": {
+      "title": "Na żywo",
+      "allCameras": "Wszystkie kamery",
+      "cameras": {
+        "title": "Kamery",
+        "count_one": "{{count}} Kamera",
+        "count_few": "{{count}} Kamer",
+        "count_many": "{{count}} Kamery"
+      }
+    },
+    "review": "Przegląd",
+    "uiPlayground": "Plac testowy UI",
+    "faceLibrary": "Biblioteka twarzy",
+    "user": {
+      "account": "Konto",
+      "current": "Aktualny użytkownik: {{user}}",
+      "anonymous": "anonimowy",
+      "logout": "Wyloguj",
+      "setPassword": "Ustaw hasło",
+      "title": "Użytkownik"
+    },
+    "documentation": {
+      "title": "Dokumentacja",
+      "label": "Dokumentacja Frigate"
+    },
+    "explore": "Przeglądaj",
+    "configurationEditor": "Edytor konfiguracji",
+    "help": "Pomoc",
+    "settings": "Ustawienia",
+    "export": "Eksportuj"
+  },
+  "role": {
+    "viewer": "Przeglądający",
+    "desc": "Administratorzy mają pełny dostęp do wszystkich funkcji w interfejsie Frigate. Przeglądający mają ograniczony dostęp tylko do podglądu kamer, przeglądania nagrań i historycznych materiałów w interfejsie.",
+    "title": "Rola",
+    "admin": "Administrator"
+  },
+  "pagination": {
+    "label": "paginacja",
+    "previous": {
+      "title": "Poprzednia",
+      "label": "Przejdź do poprzedniej strony"
+    },
+    "next": {
+      "title": "Następna",
+      "label": "Przejdź do następnej strony"
+    },
+    "more": "Więcej stron"
+  },
+  "accessDenied": {
+    "title": "Dostęp Zabroniony",
+    "desc": "Nie masz uprawnień do wyświetlenia tej strony.",
+    "documentTitle": "Dostęp Zabroniony - Frigate"
+  },
+  "notFound": {
+    "title": "404",
+    "desc": "Strona nie znaleziona",
+    "documentTitle": "Nie Znaleziono - Frigate"
+  },
+  "selectItem": "Wybierz {{item}}",
+  "toast": {
+    "copyUrlToClipboard": "Skopiowano URL do schowka.",
+    "save": {
+      "error": {
+        "title": "Nie udało się zapisać zmian konfiguracji: {{errorMessage}}",
+        "noMessage": "Nie udało się zapisać zmian konfiguracji"
+      },
+      "title": "Zapisz"
+    }
+  }
+}
diff --git a/web/public/locales/pl/components/auth.json b/web/public/locales/pl/components/auth.json
new file mode 100644
index 000000000..094e0ca97
--- /dev/null
+++ b/web/public/locales/pl/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nazwa użytkownika",
+    "password": "Hasło",
+    "login": "Login",
+    "errors": {
+      "usernameRequired": "Nazwa użytkownika jest wymagana",
+      "passwordRequired": "Hasło jest wymagane",
+      "loginFailed": "Logowanie nieudane",
+      "unknownError": "Nieznany błąd. Sprawdź logi.",
+      "webUnknownError": "Nieznany błąd. Sprawdź konsolę.",
+      "rateLimit": "Przekroczono limit częstotliwości. Spróbuj ponownie później."
+    }
+  }
+}
diff --git a/web/public/locales/pl/components/camera.json b/web/public/locales/pl/components/camera.json
new file mode 100644
index 000000000..afeb414d2
--- /dev/null
+++ b/web/public/locales/pl/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Grupy kamer",
+    "add": "Dodaj grupę kamer",
+    "edit": "Edytuj grupę kamer",
+    "delete": {
+      "label": "Usuń grupę kamer",
+      "confirm": {
+        "title": "Potwierdź usuwanie",
+        "desc": "Czy jesteś pewny że chcesz usunąć grupę kamer <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "placeholder": "Wprowadź nazwę…",
+      "label": "Nazwa",
+      "errorMessage": {
+        "mustLeastCharacters": "Nazwa grupy kamer musi mieć co najmniej 2 znaki.",
+        "exists": "Grupa kamer o takiej nazwie już istnieje.",
+        "nameMustNotPeriod": "Nazwa grupy kamer nie może zawierać kropki.",
+        "invalid": "Niepoprawna nazwa grupy kamer."
+      }
+    },
+    "cameras": {
+      "label": "Kamery",
+      "desc": "Wykierz kamery dla tej grupy."
+    },
+    "icon": "Ikona",
+    "success": "Grupa kamer ({{name}}) została zapisana.",
+    "camera": {
+      "setting": {
+        "audio": {
+          "tips": {
+            "document": "Czytaj dokumentację ",
+            "title": "Dźwięk musi być wysyłany z kamery i skonfigurowany w go2rtc dla tego strumienia."
+          }
+        },
+        "label": "Ustawienia Strumieniowania Kamery",
+        "title": "Ustawienia Strumieniowania {{cameraName}}",
+        "desc": "Zmień opcje strumieniowania na żywo dla pulpitu tej grupy kamer. <em>Te ustawienia są specyficzne dla urządzenia/przeglądarki.</em>",
+        "audioIsAvailable": "Dźwięk jest dostępny dla tego strumienia",
+        "audioIsUnavailable": "Dźwięk jest niedostępny dla tego strumienia",
+        "streamMethod": {
+          "label": "Metoda Strumieniowania",
+          "method": {
+            "noStreaming": {
+              "label": "Brak Strumieniowania",
+              "desc": "Obrazy z kamery będą aktualizowane tylko raz na minutę, bez strumieniowania na żywo."
+            },
+            "smartStreaming": {
+              "label": "Inteligentne Strumieniowanie (zalecane)",
+              "desc": "Inteligentne strumieniowanie aktualizuje obraz kamery raz na minutę gdy nie wykryto aktywności, aby oszczędzać przepustowość i zasoby. Gdy aktywność zostanie wykryta, obraz płynnie przełącza się na transmisję na żywo."
+            },
+            "continuousStreaming": {
+              "desc": {
+                "title": "Obraz kamery będzie zawsze strumieniowany na żywo, gdy jest widoczny na pulpicie, nawet jeśli nie wykryto aktywności.",
+                "warning": "Ciągłe strumieniowanie może powodować wysokie zużycie przepustowości i problemy z wydajnością. Używaj ostrożnie."
+              },
+              "label": "Ciągłe Strumieniowanie"
+            }
+          },
+          "placeholder": "Wybierz sposób strumieniowania"
+        },
+        "compatibilityMode": {
+          "label": "Tryb kompatybilności",
+          "desc": "Włącz tę opcję tylko jeśli transmisja na żywo z kamery wyświetla artefakty kolorów i ma ukośną linię po prawej stronie obrazu."
+        },
+        "placeholder": "Wybierz strumień",
+        "stream": "Strumień"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Ustawienia",
+      "title": "Opcje",
+      "showOptions": "Pokaż Opcje",
+      "hideOptions": "Ukryj Opcje"
+    },
+    "timestamp": "Znacznik czasu",
+    "zones": "Strefy",
+    "mask": "Maski",
+    "regions": "Regiony",
+    "motion": "Ruch",
+    "boundingBox": "Ramka Ograniczająca"
+  }
+}
diff --git a/web/public/locales/pl/components/dialog.json b/web/public/locales/pl/components/dialog.json
new file mode 100644
index 000000000..49d1764c3
--- /dev/null
+++ b/web/public/locales/pl/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "title": "Czy na pewno chcesz ponownie uruchomić Frigate?",
+    "button": "Uruchom ponownie",
+    "restarting": {
+      "title": "Frigate uruchamia się ponownie",
+      "content": "Strona odświeży się za {{countdown}} sekund.",
+      "button": "Wymuś odświeżenie"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Wyślij do Frigate+",
+        "desc": "Obiekty w miejscach, których chcesz unikać, nie są fałszywymi alarmami. Zgłaszanie ich jako fałszywe alarmy zdezorientuje model."
+      },
+      "review": {
+        "true": {
+          "label": "Potwierdź tę etykietę dla Frigate Plus",
+          "true_one": "To jest {{label}}",
+          "true_few": "To są {{label}}",
+          "true_many": "To są {{label}}"
+        },
+        "false": {
+          "label": "Nie potwierdzaj tej etykiety dla Frigate Plus",
+          "false_one": "To nie jest {{label}}",
+          "false_few": "To nie są {{label}}",
+          "false_many": "To nie są {{label}}"
+        },
+        "state": {
+          "submitted": "Przesłano"
+        },
+        "question": {
+          "ask_a": "Czy ten obiekt to <code>{{label}}</code>?",
+          "ask_an": "Czy ten obiekt to <code>{{label}}</code>?",
+          "ask_full": "Czy ten obiekt to <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?",
+          "label": "Potwierdź tę etykietę dla Frigate Plus"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Zobacz w Historii"
+    }
+  },
+  "export": {
+    "time": {
+      "lastHour_one": "Ostatnia godzina",
+      "lastHour_few": "Ostatnie {{count}} godziny",
+      "lastHour_many": "Ostatnie {{count}} godzin",
+      "fromTimeline": "Wybierz z Osi Czasu",
+      "custom": "Niestandardowy",
+      "start": {
+        "title": "Czas Rozpoczęcia",
+        "label": "Wybierz Czas Rozpoczęcia"
+      },
+      "end": {
+        "title": "Czas Zakończenia",
+        "label": "Wybierz Czas Zakończenia"
+      }
+    },
+    "name": {
+      "placeholder": "Nazwij Eksport"
+    },
+    "select": "Wybierz",
+    "export": "Eksportuj",
+    "selectOrExport": "Wybierz lub Eksportuj",
+    "toast": {
+      "success": "Pomyślnie rozpoczęto eksport. Zobacz plik w folderze /exports.",
+      "error": {
+        "failed": "Nie udało się rozpocząć eksportu: {{error}}",
+        "endTimeMustAfterStartTime": "Czas zakończenia musi być późniejszy niż czas rozpoczęcia",
+        "noVaildTimeSelected": "Nie wybrano prawidłowego zakresu czasu"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Zapisz Eksport",
+      "previewExport": "Podgląd Eksportu"
+    }
+  },
+  "recording": {
+    "button": {
+      "markAsReviewed": "Oznacz jako sprawdzone",
+      "deleteNow": "Usuń teraz",
+      "export": "Eksportuj"
+    },
+    "confirmDelete": {
+      "title": "Potwierdź Usunięcie",
+      "desc": {
+        "selected": "Czy na pewno chcesz usunąć wszystkie nagrane wideo powiązane z tym elementem recenzji?<br /><br />Przytrzymaj klawisz <em>Shift</em>, aby pominąć to okno dialogowe w przyszłości."
+      },
+      "toast": {
+        "success": "Nagrania wideo powiązane z wybranymi elementami przeglądu zostały pomyślnie usunięte.",
+        "error": "Nie udało się usunąć: {{error}}"
+      }
+    }
+  },
+  "streaming": {
+    "label": "Strumień",
+    "restreaming": {
+      "disabled": "Restreaming nie jest włączony dla tej kamery.",
+      "desc": {
+        "title": "Skonfiguruj go2rtc dla dodatkowych opcji podglądu na żywo i dźwięku dla tej kamery.",
+        "readTheDocumentation": "Przeczytaj dokumentację"
+      }
+    },
+    "showStats": {
+      "label": "Pokaż statystyki strumienia",
+      "desc": "Włącz tę opcję, aby wyświetlać statystyki strumienia jako nakładkę na obrazie z kamery."
+    },
+    "debugView": "Widok Debugowania"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Zapisz Wyszukiwanie",
+      "desc": "Podaj nazwę dla tego zapisanego wyszukiwania.",
+      "placeholder": "Wprowadź nazwę dla swojego wyszukiwania",
+      "overwrite": "{{searchName}} już istnieje. Zapisanie nadpisze istniejącą wartość.",
+      "success": "Wyszukiwanie ({{searchName}}) zostało zapisane.",
+      "button": {
+        "save": {
+          "label": "Zapisz to wyszukiwanie"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pl/components/filter.json b/web/public/locales/pl/components/filter.json
new file mode 100644
index 000000000..30b19bee3
--- /dev/null
+++ b/web/public/locales/pl/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filtr",
+  "labels": {
+    "label": "Etykiety",
+    "all": {
+      "title": "Wszystkie Etykiety",
+      "short": "Etykiety"
+    },
+    "count_one": "{{count}} Etykieta",
+    "count_other": "{{count}} Etykiet"
+  },
+  "zones": {
+    "label": "Strefy",
+    "all": {
+      "title": "Wszystkie Strefy",
+      "short": "Strefy"
+    }
+  },
+  "subLabels": {
+    "all": "Wszystkie Podetykiety",
+    "label": "Podetykiety"
+  },
+  "score": "Wynik",
+  "estimatedSpeed": "Szacowana Prędkość ({{unit}})",
+  "features": {
+    "label": "Funkcje",
+    "hasSnapshot": "Posiada stop klatkę",
+    "hasVideoClip": "Posiada klip wideo",
+    "submittedToFrigatePlus": {
+      "label": "Przesłano do Frigate+",
+      "tips": "Musisz najpierw filtrować obiekty śledzone, które mają stop klatkę.<br /><br />Obiekty śledzone bez stop klatki nie mogą być przesłane do Frigate+."
+    }
+  },
+  "sort": {
+    "dateDesc": "Data (Malejąco)",
+    "scoreAsc": "Wynik Obiektu (Rosnąco)",
+    "scoreDesc": "Wynik Obiektu (Malejąco)",
+    "speedAsc": "Szacowana Prędkość (Rosnąco)",
+    "speedDesc": "Szacowana Prędkość (Malejąco)",
+    "label": "Sortuj",
+    "dateAsc": "Data (Rosnąco)",
+    "relevance": "Trafność"
+  },
+  "explore": {
+    "settings": {
+      "gridColumns": {
+        "desc": "Wybierz liczbę kolumn w widoku siatki.",
+        "title": "Kolumny Siatki"
+      },
+      "searchSource": {
+        "label": "Źródło Wyszukiwania",
+        "desc": "Wybierz, czy przeszukiwać miniatury czy opisy śledzonych obiektów.",
+        "options": {
+          "description": "Opis",
+          "thumbnailImage": "Obraz Miniatury"
+        }
+      },
+      "defaultView": {
+        "title": "Domyślny Widok",
+        "summary": "Podsumowanie",
+        "unfilteredGrid": "Niefiltrowana Siatka",
+        "desc": "Gdy nie wybrano filtrów, wyświetl podsumowanie najnowszych śledzonych obiektów dla każdej etykiety lub wyświetl niefiltrowaną siatkę."
+      },
+      "title": "Ustawienia"
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Wybierz datę do filtrowania"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtruj poziom logów",
+    "filterBySeverity": "Filtruj logi według ważności",
+    "loading": {
+      "title": "Ładowanie",
+      "desc": "Gdy panel logów jest przewinięty do dołu, nowe logi są automatycznie strumieniowane w miarę ich dodawania."
+    },
+    "disableLogStreaming": "Wyłącz strumieniowanie logów",
+    "allLogs": "Wszystkie logi"
+  },
+  "recognizedLicensePlates": {
+    "loading": "Ładowanie rozpoznanych tablic rejestracyjnych…",
+    "placeholder": "Wpisz, aby wyszukać tablice rejestracyjne…",
+    "noLicensePlatesFound": "Nie znaleziono tablic rejestracyjnych.",
+    "title": "Rozpoznane Tablice Rejestracyjne",
+    "loadFailed": "Nie udało się załadować rozpoznanych tablic rejestracyjnych.",
+    "selectPlatesFromList": "Wybierz jedną lub więcej tablic z listy."
+  },
+  "dates": {
+    "all": {
+      "title": "Wszystkie Daty",
+      "short": "Daty"
+    },
+    "selectPreset": "Wybierz ustawienie…"
+  },
+  "more": "Więcej Filtrów",
+  "reset": {
+    "label": "Resetuj filtry do wartości domyślnych"
+  },
+  "timeRange": "Zakres Czasu",
+  "cameras": {
+    "label": "Filtr Kamer",
+    "all": {
+      "title": "Wszystkie Kamery",
+      "short": "Kamery"
+    }
+  },
+  "review": {
+    "showReviewed": "Pokaż Przejrzane"
+  },
+  "motion": {
+    "showMotionOnly": "Pokaż Tylko Ruch"
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "Śledzone obiekty zostały pomyślnie usunięte.",
+      "error": "Nie udało się usunąć śledzonych obiektów: {{errorMessage}}"
+    },
+    "title": "Potwierdź Usunięcie",
+    "desc": "Usunięcie tych {{objectLength}} śledzonych obiektów usuwa stop klatki, wszelkie zapisane osadzenia i wszystkie powiązane wpisy cyklu życia obiektu. Nagrane materiały tych śledzonych obiektów w widoku Historii <em>NIE</em> zostaną usunięte.<br /><br />Czy na pewno chcesz kontynuować?<br /><br />Przytrzymaj klawisz <em>Shift</em>, aby pominąć to okno dialogowe w przyszłości."
+  },
+  "zoneMask": {
+    "filterBy": "Filtruj według maski strefy"
+  }
+}
diff --git a/web/public/locales/pl/components/icons.json b/web/public/locales/pl/components/icons.json
new file mode 100644
index 000000000..35cbdc1c4
--- /dev/null
+++ b/web/public/locales/pl/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Wybierz ikonę",
+    "search": {
+      "placeholder": "Wyszukaj ikonę…"
+    }
+  }
+}
diff --git a/web/public/locales/pl/components/input.json b/web/public/locales/pl/components/input.json
new file mode 100644
index 000000000..1216c7a00
--- /dev/null
+++ b/web/public/locales/pl/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Pobierz Wideo",
+      "toast": {
+        "success": "Rozpoczęto pobieranie nagrania do przeglądu."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pl/components/player.json b/web/public/locales/pl/components/player.json
new file mode 100644
index 000000000..227813f9c
--- /dev/null
+++ b/web/public/locales/pl/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Nie znaleziono żadnych nagrań w tym czasie",
+  "cameraDisabled": "Kamera jest wyłączona",
+  "stats": {
+    "latency": {
+      "title": "Opóźnienie:",
+      "value": "{{seconds}} sekund",
+      "short": {
+        "title": "Opóźnienie",
+        "value": "{{seconds}} s"
+      }
+    },
+    "totalFrames": "Całkowita liczba klatek:",
+    "streamType": {
+      "title": "Typ transmisji:",
+      "short": "Typ"
+    },
+    "bandwidth": {
+      "title": "Przepustowość:",
+      "short": "Przepustowość"
+    },
+    "droppedFrames": {
+      "title": "Porzucone klatki:",
+      "short": {
+        "title": "Porzucone",
+        "value": "{{droppedFrames}} klatek"
+      }
+    },
+    "decodedFrames": "Zdekodowane klatki:",
+    "droppedFrameRate": "Współczynnik porzuconych klatek:"
+  },
+  "noPreviewFound": "Nie znaleziono podglądu",
+  "noPreviewFoundFor": "Nie znaleziono podglądu dla {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Wyślij tę klatkę do Frigate+?",
+    "submit": "Wyślij"
+  },
+  "livePlayerRequiredIOSVersion": "Wymagana wersja iOS 17.1 lub nowsza dla tego typu transmisji na żywo.",
+  "streamOffline": {
+    "title": "Transmisja offline",
+    "desc": "Nie otrzymano klatek na strumieniu {{cameraName}} <code>detect</code>, sprawdź logi błędów"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Pomyślnie wysłano klatkę do Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Nie udało się wysłać klatki do Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/pl/objects.json b/web/public/locales/pl/objects.json
new file mode 100644
index 000000000..3923ec726
--- /dev/null
+++ b/web/public/locales/pl/objects.json
@@ -0,0 +1,120 @@
+{
+  "bird": "Ptak",
+  "boat": "Łódź",
+  "car": "Samochód",
+  "bus": "Autobus",
+  "motorcycle": "Motocykl",
+  "train": "Pociąg",
+  "bicycle": "Rower",
+  "sheep": "Owca",
+  "mouse": "Mysz",
+  "keyboard": "Klawiatura",
+  "door": "Drzwi",
+  "blender": "Blender",
+  "sink": "Zlew",
+  "vehicle": "Pojazd",
+  "hair_dryer": "Suszarka do włosów",
+  "toothbrush": "Szczoteczka do zębów",
+  "scissors": "Nożyczki",
+  "goat": "Koza",
+  "skateboard": "Deskorolka",
+  "dog": "Pies",
+  "cat": "Kot",
+  "horse": "Koń",
+  "clock": "Zegar",
+  "animal": "Zwierzę",
+  "bark": "Szczekanie",
+  "person": "Osoba",
+  "airplane": "Samolot",
+  "traffic_light": "Światła Uliczne",
+  "fire_hydrant": "Hydrant",
+  "street_sign": "Znak Drogowy",
+  "stop_sign": "Znak Stopu",
+  "parking_meter": "Parkometr",
+  "bench": "Ławka",
+  "cow": "Krowa",
+  "bear": "Niedźwiedź",
+  "giraffe": "Żyrafa",
+  "backpack": "Plecak",
+  "umbrella": "Parasolka",
+  "shoe": "But",
+  "eye_glasses": "Okulary Przeciwsłoneczne",
+  "tie": "Krawat",
+  "skis": "Narty",
+  "tennis_racket": "Rakieta Tenisowa",
+  "bottle": "Butelka",
+  "plate": "Tależ",
+  "wine_glass": "Kieliszek do Wina",
+  "cup": "Kubek",
+  "fork": "Widelec",
+  "banana": "Banan",
+  "apple": "Jabłko",
+  "carrot": "Marchewka",
+  "hot_dog": "Hot Dog",
+  "pizza": "Pizza",
+  "cake": "Ciastko",
+  "chair": "Krzesło",
+  "bed": "Łóżko",
+  "mirror": "Lustro",
+  "dining_table": "Stół Jadalny",
+  "window": "Okno",
+  "toilet": "Toaleta",
+  "tv": "Telewizor",
+  "laptop": "Laptop",
+  "remote": "Pilot",
+  "toaster": "Toster",
+  "refrigerator": "Lodówka",
+  "book": "Książka",
+  "vase": "Waza",
+  "hair_brush": "Szczotka do Włosów",
+  "squirrel": "Wiewiórka",
+  "fox": "Lis",
+  "waste_bin": "Kosz na Śmieci",
+  "face": "Twarz",
+  "license_plate": "Tablica Rejestracyjna",
+  "package": "Paczka",
+  "bbq_grill": "Grill",
+  "amazon": "Amazon",
+  "dhl": "DHL",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "baseball_glove": "Rękawica Bejsbolowa",
+  "baseball_bat": "Kij Bejsbolowy",
+  "bowl": "Miska",
+  "spoon": "Łyżka",
+  "sandwich": "Kanapka",
+  "zebra": "Zebra",
+  "snowboard": "Snowboard",
+  "knife": "Nóż",
+  "broccoli": "Brokuł",
+  "elephant": "Śłoń",
+  "desk": "Biurko",
+  "orange": "Pomarańcza",
+  "cell_phone": "Telefon Komórkowy",
+  "microwave": "Mikrofalówka",
+  "oven": "Piekarnik",
+  "hat": "Kapelusz",
+  "handbag": "Torebka",
+  "suitcase": "Walizka",
+  "sports_ball": "Piłka sportowa",
+  "kite": "Latawiec",
+  "surfboard": "Deska surfingowa",
+  "donut": "Pączek",
+  "couch": "Kanapa",
+  "potted_plant": "Roślina doniczkowa",
+  "teddy_bear": "Miś pluszowy",
+  "deer": "Jeleń",
+  "rabbit": "Królik",
+  "raccoon": "Szop pracz",
+  "robot_lawnmower": "Robot koszący",
+  "usps": "USPS (Poczta Amerykańska)",
+  "on_demand": "Na żądanie",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "an_post": "An Post (Poczta Irlandzka)",
+  "purolator": "Purolator",
+  "postnl": "PostNL (Poczta Holenderska)",
+  "nzpost": "NZPost (Poczta Nowozelandzka)",
+  "postnord": "PostNord (Poczta Skandynawska)",
+  "frisbee": "Frisbee"
+}
diff --git a/web/public/locales/pl/views/configEditor.json b/web/public/locales/pl/views/configEditor.json
new file mode 100644
index 000000000..2ebc8c613
--- /dev/null
+++ b/web/public/locales/pl/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Edytor konfiguracji - Frigate",
+  "configEditor": "Edytor konfiguracji",
+  "copyConfig": "Skopiuj konfigurację",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguracja skopiowana do schowka."
+    },
+    "error": {
+      "savingError": "Błąd podczas zapisywanie konfiguracji"
+    }
+  },
+  "saveOnly": "Tylko zapisz",
+  "saveAndRestart": "Zapisz i uruchom ponownie",
+  "confirm": "Zamknąć bez zapisu?"
+}
diff --git a/web/public/locales/pl/views/events.json b/web/public/locales/pl/views/events.json
new file mode 100644
index 000000000..cf53b56e0
--- /dev/null
+++ b/web/public/locales/pl/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "Kamera",
+  "alerts": "Alerty",
+  "detections": "Wykrycia",
+  "motion": {
+    "label": "Ruch",
+    "only": "Tylko ruch"
+  },
+  "allCameras": "Wszystkie kamery",
+  "empty": {
+    "alert": "Brak alertów do przejrzenia",
+    "detection": "Brak detekcji do przejrzenia",
+    "motion": "Nie znaleziono danych o ruchu"
+  },
+  "timeline": "Oś czasu",
+  "timeline.aria": "Wybierz oś czasu",
+  "events": {
+    "label": "Zdarzenia",
+    "aria": "Wybierz zdarzenia",
+    "noFoundForTimePeriod": "Brak zdarzeń w tym okresie czasu."
+  },
+  "documentTitle": "Przegląd - Frigate",
+  "recordings": {
+    "documentTitle": "Nagrania - Frigate"
+  },
+  "markAsReviewed": "Oznacz jako przejrzane",
+  "markTheseItemsAsReviewed": "Oznacz te elementy jako przejrzane",
+  "calendarFilter": {
+    "last24Hours": "Ostatnie 24 godziny"
+  },
+  "newReviewItems": {
+    "label": "Zobacz nowe elementy do przeglądu",
+    "button": "Nowe elementy do przeglądu"
+  },
+  "selected_one": "{{count}} wybrane",
+  "selected_other": "{{count}} wybrane",
+  "detected": "wykryto"
+}
diff --git a/web/public/locales/pl/views/explore.json b/web/public/locales/pl/views/explore.json
new file mode 100644
index 000000000..cd0c1048f
--- /dev/null
+++ b/web/public/locales/pl/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "Generatywna SI",
+  "documentTitle": "Eksploruj - Frigate",
+  "details": {
+    "timestamp": "Znacznik czasu",
+    "item": {
+      "desc": "Szczegóły elementu do przeglądu",
+      "title": "Szczegóły Elementu do Przeglądu",
+      "button": {
+        "share": "Udostępnij ten element",
+        "viewInExplore": "Zobacz w Eksploracji"
+      },
+      "tips": {
+        "hasMissingObjects": "Dostosuj swoją konfigurację, jeśli chcesz, aby Frigate zapisywał śledzone obiekty dla następujących etykiet: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} niedostępny obiekt został wykryty i uwzględniony w tym elemencie przeglądu. Ten obiekt albo nie kwalifikował się jako alert lub detekcja, albo został już wyczyszczont/usunięty.",
+        "mismatch_few": "{{count}} niedostępne obiekty zostały wykryte i uwzględnione w tym elemencie przeglądu. Te obiekty albo nie kwalifikowały się jako alert lub detekcja, albo zostały już wyczyszczone/usunięte.",
+        "mismatch_many": "{{count}} niedostępnych obiektów zostało wykrytych i uwzględnionych w tym elemencie przeglądu. Te obiekty albo nie kwalifikowały się jako alert lub detekcja, albo zostały już wyczyszczone/usunięte."
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Zażądano nowego opisu od {{provider}}. W zależności od szybkości twojego dostawcy, wygenerowanie nowego opisu może zająć trochę czasu.",
+          "updatedSublabel": "Pomyślnie zaktualizowano podetykietę.",
+          "updatedLPR": "Pomyślnie zaktualizowano tablicę rejestracyjną."
+        },
+        "error": {
+          "regenerate": "Nie udało się wezwać {{provider}} dla nowego opisu: {{errorMessage}}",
+          "updatedSublabelFailed": "Nie udało się zaktualizować podetykiety: {{errorMessage}}",
+          "updatedLPRFailed": "Nie udało się zaktualizować tablicy rejestracyjnej: {{errorMessage}}"
+        }
+      }
+    },
+    "topScore": {
+      "info": "Najwyższy wynik to najwyższa mediana wyniku dla śledzonego obiektu, więc może się różnić od wyniku pokazanego na miniaturze wyników wyszukiwania.",
+      "label": "Najwyższy wynik"
+    },
+    "editSubLabel": {
+      "descNoLabel": "Wprowadź nową podetykietę dla tego śledzonego obiektu",
+      "title": "Edytuj podetykietę",
+      "desc": "Wprowadź nową podetykietę dla tego {{label}}"
+    },
+    "estimatedSpeed": "Szacowana prędkość",
+    "label": "Etykieta",
+    "button": {
+      "regenerate": {
+        "title": "Regeneruj",
+        "label": "Regeneruj opis śledzonego obiektu"
+      },
+      "findSimilar": "Znajdź Podobne"
+    },
+    "objects": "Obiekty",
+    "camera": "Kamera",
+    "zones": "Strefy",
+    "expandRegenerationMenu": "Rozwiń menu regeneracji",
+    "description": {
+      "label": "Opis",
+      "placeholder": "Opis śledzonego obiektu",
+      "aiTips": "Frigate nie poprosi o opis od twojego dostawcy AI, dopóki cykl życia śledzonego obiektu nie dobiegnie końca."
+    },
+    "editLPR": {
+      "title": "Edytuj tablicę rejestracyjną",
+      "desc": "Wprowadź nową wartość tablicy rejestracyjnej dla tego {{label}}",
+      "descNoLabel": "Wprowadź nową wartość tablicy rejestracyjnej dla tego śledzonego obiektu"
+    },
+    "tips": {
+      "descriptionSaved": "Pomyślnie zapisano opis",
+      "saveDescriptionFailed": "Nie udało się zaktualizować opisu: {{errorMessage}}"
+    },
+    "recognizedLicensePlate": "Rozpoznana tablica rejestracyjna",
+    "regenerateFromSnapshot": "Regeneruj ze zrzutu ekranu",
+    "regenerateFromThumbnails": "Regeneruj z miniatur",
+    "snapshotScore": {
+      "label": "Wynik zrzutu"
+    }
+  },
+  "objectLifecycle": {
+    "annotationSettings": {
+      "title": "Ustawienia adnotacji",
+      "showAllZones": {
+        "title": "Pokaż wszystkie strefy",
+        "desc": "Zawsze pokazuj strefy na klatkach, w których obiekty weszły do strefy."
+      },
+      "offset": {
+        "desc": "Te dane pochodzą z kanału detekcji kamery, ale są nakładane na obrazy z kanału nagrywania. Mało prawdopodobne, aby oba strumienie były idealnie zsynchronizowane. W rezultacie ramka ograniczająca i nagranie mogą nie być idealnie dopasowane. Jednak pole <code>annotation_offset</code> może być użyte do regulacji tego.",
+        "documentation": "Przeczytaj dokumentację ",
+        "label": "Przesunięcie adnotacji",
+        "millisecondsToOffset": "Milisekundy do przesunięcia adnotacji detekcji. <em>Domyślnie: 0</em>",
+        "tips": "WSKAZÓWKA: Wyobraź sobie, że istnieje klip zdarzenia z osobą idącą od lewej do prawej. Jeśli na osi czasu zdarzenia ramka ograniczająca jest konsekwentnie na lewo od osoby, wartość powinna być zmniejszona. Podobnie, jeśli osoba idzie od lewej do prawej, a ramka ograniczająca jest konsekwentnie przed osobą, wartość powinna być zwiększona.",
+        "toast": {
+          "success": "Przesunięcie adnotacji dla {{camera}} zostało zapisane w pliku konfiguracyjnym. Zrestartuj Frigate, aby zastosować zmiany."
+        }
+      }
+    },
+    "title": "Cykl życia obiektu",
+    "noImageFound": "Nie znaleziono obrazu dla tego znacznika czasu.",
+    "scrollViewTips": "Przewiń, aby zobaczyć kluczowe momenty cyklu życia tego obiektu.",
+    "autoTrackingTips": "Pozycje ramek ograniczających mogą być niedokładne dla kamer z automatycznym śledzeniem.",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} wykryty",
+      "entered_zone": "{{label}} wszedł w strefę {{zones}}",
+      "active": "{{label}} stał się aktywny",
+      "stationary": "{{label}} stał się nieruchomy",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} wykryty dla {{label}}",
+        "other": "{{label}} rozpoznany jako {{attribute}}"
+      },
+      "gone": "{{label}} zniknął",
+      "heard": "{{label}} usłyszany",
+      "external": "{{label}} wykryty",
+      "header": {
+        "ratio": "Współczynnik",
+        "area": "Obszar",
+        "zones": "Strefy"
+      }
+    },
+    "carousel": {
+      "previous": "Poprzedni slajd",
+      "next": "Następny slajd"
+    },
+    "createObjectMask": "Utwórz maskę obiektu",
+    "adjustAnnotationSettings": "Dostosuj ustawienia adnotacji",
+    "trackedPoint": "Punkt Śledzenia",
+    "count": "{{first}} z {{second}}"
+  },
+  "exploreIsUnavailable": {
+    "title": "Eksploracja jest niedostępna",
+    "embeddingsReindexing": {
+      "context": "Eksploracja będzie dostępna po zakończeniu ponownego indeksowania osadzenia śledzonych obiektów.",
+      "startingUp": "Uruchamianie…",
+      "estimatedTime": "Szacowany pozostały czas:",
+      "finishingShortly": "Zaraz się zakończy",
+      "step": {
+        "thumbnailsEmbedded": "Osadzone miniatury: ",
+        "descriptionsEmbedded": "Osadzone opisy: ",
+        "trackedObjectsProcessed": "Przetworzone śledzone obiekty: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate pobiera niezbędne modele osadzenia do obsługi funkcji wyszukiwania semantycznego. Może to potrwać kilka minut, w zależności od prędkości Twojego połączenia sieciowego.",
+      "setup": {
+        "visionModelFeatureExtractor": "Ekstraktor cech modelu wizyjnego",
+        "textModel": "Model tekstowy",
+        "visionModel": "Model wizyjny",
+        "textTokenizer": "Tokenizer tekstu"
+      },
+      "tips": {
+        "context": "Po pobraniu modeli warto ponownie zindeksować osadzenia śledzonych obiektów.",
+        "documentation": "Przeczytaj dokumentację"
+      },
+      "error": "Wystąpił błąd. Sprawdź logi Frigate."
+    }
+  },
+  "trackedObjectDetails": "Szczegóły śledzonego obiektu",
+  "type": {
+    "details": "szczegóły",
+    "snapshot": "zrzut ekranu",
+    "video": "wideo",
+    "object_lifecycle": "cykl życia obiektu"
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "aria": "Pobierz zrzut ekranu",
+      "label": "Pobierz zrzut ekranu"
+    },
+    "viewObjectLifecycle": {
+      "label": "Wyświetl cykl życia obiektu",
+      "aria": "Pokaż cykl życia obiektu"
+    },
+    "downloadVideo": {
+      "label": "Pobierz wideo",
+      "aria": "Pobierz wideo"
+    },
+    "findSimilar": {
+      "label": "Znajdź podobne",
+      "aria": "Znajdź podobne śledzone obiekty"
+    },
+    "submitToPlus": {
+      "label": "Prześlij do Frigate+",
+      "aria": "Prześlij do Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "Wyświetl w Historii",
+      "aria": "Wyświetl w Historii"
+    },
+    "deleteTrackedObject": {
+      "label": "Usuń ten śledzony obiekt"
+    }
+  },
+  "trackedObjectsCount_one": "{{count}} śledzony obiekt ",
+  "trackedObjectsCount_few": "{{count}} śledzone obiekty ",
+  "trackedObjectsCount_many": "{{count}} śledzonych obiektów ",
+  "noTrackedObjects": "Nie znaleziono śledzonych obiektów",
+  "dialog": {
+    "confirmDelete": {
+      "desc": "Usunięcie tego śledzonego obiektu usuwa zrzut ekranu, wszelkie zapisane osadzenia i wszystkie powiązane wpisy cyklu życia obiektu. Nagrany materiał tego śledzonego obiektu w widoku Historii <em>NIE</em> zostanie usunięty.<br /><br />Czy na pewno chcesz kontynuować?",
+      "title": "Potwierdź usunięcie"
+    }
+  },
+  "fetchingTrackedObjectsFailed": "Błąd pobierania śledzonych obiektów: {{errorMessage}}",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Śledzony obiekt usunięty pomyślnie.",
+        "error": "Nie udało się usunąć śledzonego obiektu: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Pasuje do {{type}} z pewnością {{confidence}}%"
+  },
+  "exploreMore": "Odkryj więcej obiektów typu {{label}}"
+}
diff --git a/web/public/locales/pl/views/exports.json b/web/public/locales/pl/views/exports.json
new file mode 100644
index 000000000..954849a1a
--- /dev/null
+++ b/web/public/locales/pl/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Szukaj",
+  "documentTitle": "Eksportuj - Frigate",
+  "noExports": "Nie znaleziono eksportów",
+  "deleteExport": "Usuń eksport",
+  "deleteExport.desc": "Czy na pewno chcesz usunąć {{exportName}}?",
+  "editExport": {
+    "title": "Zmień nazwę eksportu",
+    "desc": "Wprowadź nową nazwę dla tego eksportu.",
+    "saveExport": "Zapisz eksport"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Nie udało się zmienić nazwy eksportu: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/pl/views/faceLibrary.json b/web/public/locales/pl/views/faceLibrary.json
new file mode 100644
index 000000000..a10105faa
--- /dev/null
+++ b/web/public/locales/pl/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "selectItem": "Wybierz {{item}}",
+  "description": {
+    "addFace": "Poznaj proces dodawania nowej kolekcji do biblioteki twarzy.",
+    "placeholder": "Wprowadź nazwę tej kolekcji",
+    "invalidName": "Nieprawidłowa nazwa. Nazwy mogą zawierać tylko litery, cyfry, spacje, apostrofy, podkreślenia oraz myślniki."
+  },
+  "details": {
+    "person": "Osoba",
+    "confidence": "Pewność",
+    "face": "Szczegóły twarzy",
+    "faceDesc": "Szczegóły śledzonego obiektu, który wygenerował tę twarz",
+    "timestamp": "Znacznik czasu",
+    "subLabelScore": "Ocena podetykiety",
+    "scoreInfo": "Ocena podetykiety to ważona ocena uwzględniająca wszystkie rozpoznane twarze i ich poziom rozpoznania , dlatego może się różnić od oceny pokazanej na stopklatce.",
+    "unknown": "Nieznany"
+  },
+  "documentTitle": "Biblioteka twarzy - Frigate",
+  "uploadFaceImage": {
+    "title": "Wgraj zdjęcie twarzy",
+    "desc": "Wgraj obraz do skanowania twarzy i dołącz do {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Utwórz kolekcję",
+    "desc": "Utwórz nową kolekcję",
+    "new": "Utwórz nową twarz",
+    "nextSteps": "Aby zbudować solidną podstawę: <li>Użyj zakładki Trenuj, aby wybrać i trenować na obrazach dla każdej wykrytej osoby.</li><li>Skup się na zdjęciach twarzy na wprost dla najlepszych wyników; unikaj trenowania na zdjęciach, które pokazują twarze pod kątem.</li></ul>"
+  },
+  "train": {
+    "aria": "Wybierz trenowanie",
+    "title": "Trenuj",
+    "empty": "Nie podjęto ostatnio żadnych prób rozpoznawania twarzy"
+  },
+  "selectFace": "Wybierz twarz",
+  "deleteFaceLibrary": {
+    "title": "Usuń nazwę",
+    "desc": "Czy na pewno chcesz usunąć kolekcję {{name}}? Spowoduje to trwałe usunięcie wszystkich powiązanych twarzy."
+  },
+  "button": {
+    "addFace": "Dodaj twarz",
+    "uploadImage": "Wgraj obraz",
+    "reprocessFace": "Przetwórz twarz ponownie",
+    "deleteFaceAttempts": "Usuń twarze",
+    "renameFace": "Zmień nazwę twarzy",
+    "deleteFace": "Usuń twarz"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Proszę wybrać plik obrazu."
+    },
+    "dropActive": "Upuść obraz tutaj…",
+    "dropInstructions": "Przeciągnij i upuść obraz tutaj lub kliknij, aby wybrać",
+    "maxSize": "Maksymalny rozmiar: {{size}}MB"
+  },
+  "toast": {
+    "success": {
+      "deletedName_one": "{{count}} twarz została pomyślnie usunięta.",
+      "deletedName_few": "{{count}} twarze zostały pomyślnie usunięte.",
+      "deletedName_many": "{{count}} twarzy zostało pomyślnie usuniętych.",
+      "deletedFace_one": "Pomyślnie usunięto {{count}} twarz.",
+      "deletedFace_few": "Pomyślnie usunięto {{count}} twarze.",
+      "deletedFace_many": "Pomyślnie usunięto {{count}} twarzy.",
+      "uploadedImage": "Pomyślnie wgrano obraz.",
+      "addFaceLibrary": "{{name}} został pomyślnie dodany do Biblioteki Twarzy!",
+      "trainedFace": "Pomyślnie wytrenowano twarz.",
+      "updatedFaceScore": "Pomyślnie zaktualizowano wynik twarzy.",
+      "renamedFace": "Pomyślnie zmieniono nazwę twarzy na {{name}}"
+    },
+    "error": {
+      "addFaceLibraryFailed": "Nie udało się ustawić nazwy twarzy: {{errorMessage}}",
+      "deleteFaceFailed": "Nie udało się usunąć: {{errorMessage}}",
+      "deleteNameFailed": "Nie udało się usunąć nazwy: {{errorMessage}}",
+      "trainFailed": "Nie udało się przeprowadzić treningu: {{errorMessage}}",
+      "updateFaceScoreFailed": "Nie udało się zaktualizować wyniku twarzy: {{errorMessage}}",
+      "uploadingImageFailed": "Nie udało się wgrać obrazu: {{errorMessage}}",
+      "renameFaceFailed": "Nie udało się zmienić nazwy twarzy: {{errorMessage}}"
+    }
+  },
+  "readTheDocs": "Przeczytaj dokumentację",
+  "trainFaceAs": "Trenuj twarz jako:",
+  "trainFace": "Trenuj twarz",
+  "steps": {
+    "faceName": "Wprowadź nazwę twarzy",
+    "uploadFace": "Prześlij obraz twarzy",
+    "nextSteps": "Kolejne kroki",
+    "description": {
+      "uploadFace": "Prześlij zdjęcie {{name}}, na którym twarz jest widoczna z przodu. Obraz nie musi być przycięty wyłącznie do twarzy."
+    }
+  },
+  "renameFace": {
+    "title": "Zmień nazwę twarzy",
+    "desc": "Wprowadź nową nazwę dla {{name}}"
+  },
+  "collections": "Kolekcje",
+  "deleteFaceAttempts": {
+    "title": "Usuń twarze",
+    "desc_one": "Czy na pewno chcesz usunąć {{count}} twarz? Tej czynności nie można cofnąć.",
+    "desc_few": "Czy na pewno chcesz usunąć {{count}} twarze? Tej czynności nie można cofnąć.",
+    "desc_many": "Czy na pewno chcesz usunąć {{count}} twarzy? Tej czynności nie można cofnąć."
+  },
+  "nofaces": "Brak dostępnych twarzy",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/pl/views/live.json b/web/public/locales/pl/views/live.json
new file mode 100644
index 000000000..87b0af4ab
--- /dev/null
+++ b/web/public/locales/pl/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Na żywo - Frigate",
+  "documentTitle.withCamera": "{{camera}}- Na żywo - Frigate",
+  "lowBandwidthMode": "Tryb niskiej przepustowości",
+  "twoWayTalk": {
+    "enable": "Włącz komunikację dwukierunkową",
+    "disable": "Wyłącz komunikację dwukierunkową"
+  },
+  "cameraAudio": {
+    "enable": "Włącz dźwięk kamery",
+    "disable": "Wyłącz dźwięk kamery"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Kliknij w ramce, aby wyśrodkować kamerę",
+        "enable": "Włącz kliknięcie do przesuwania",
+        "disable": "Wyłącz kliknięcie do przesuwania"
+      },
+      "left": {
+        "label": "Przesuń kamerę PTZ w lewo"
+      },
+      "right": {
+        "label": "Przesuń kamerę PTZ w prawo"
+      },
+      "down": {
+        "label": "Przesuń kamerę PTZ w dół"
+      },
+      "up": {
+        "label": "Przesuń kamerę PTZ w górę"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Przybliż kamerę PTZ"
+      },
+      "out": {
+        "label": "Oddal kamerę PTZ"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Kliknij w ramce, aby wyśrodkować kamerę PTZ"
+      }
+    },
+    "presets": "Presety kamery PTZ"
+  },
+  "recording": {
+    "enable": "Włącz nagrywanie",
+    "disable": "Wyłącz nagrywanie"
+  },
+  "snapshots": {
+    "enable": "Włącz zrzuty ekranu",
+    "disable": "Wyłącz zrzuty ekranu"
+  },
+  "streamStats": {
+    "disable": "Ukryj statystyki strumienia",
+    "enable": "Pokaż statystyki strumienia"
+  },
+  "manualRecording": {
+    "title": "Nagrywanie na żądanie",
+    "tips": "Rozpocznij ręczne zdarzenie w oparciu o ustawienia przechowywania nagrań tej kamery.",
+    "playInBackground": {
+      "label": "Odtwarzaj w tle",
+      "desc": "Włącz tę opcję, aby kontynuować transmisję, gdy odtwarzacz jest ukryty."
+    },
+    "showStats": {
+      "label": "Pokaż statystyki",
+      "desc": "Włącz tę opcję, aby pokazać statystyki strumienia jako nakładkę na podgląd kamery."
+    },
+    "debugView": "Widok debugowania",
+    "start": "Rozpocznij nagrywanie na żądanie",
+    "started": "Rozpoczęto ręczne nagrywanie na żądanie.",
+    "failedToStart": "Nie udało się rozpocząć ręcznego nagrywania na żądanie.",
+    "recordDisabledTips": "Ponieważ nagrywanie jest wyłączone lub ograniczone w konfiguracji tej kamery, zostanie zapisany tylko zrzut ekranu.",
+    "end": "Zakończ nagrywanie na żądanie",
+    "ended": "Zakończono ręczne nagrywanie na żądanie.",
+    "failedToEnd": "Nie udało się zakończyć ręcznego nagrywania na żądanie."
+  },
+  "notifications": "Powiadomienia",
+  "audio": "Dźwięk",
+  "suspend": {
+    "forTime": "Zawieś na: "
+  },
+  "stream": {
+    "title": "Strumień",
+    "audio": {
+      "tips": {
+        "title": "Dźwięk musi być wysyłany z kamery i skonfigurowany w go2rtc dla tego strumienia.",
+        "documentation": "Przeczytaj dokumentację "
+      },
+      "available": "Dźwięk jest dostępny dla tego strumienia",
+      "unavailable": "Dźwięk nie jest dostępny dla tego strumienia"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Przeczytaj dokumentację ",
+      "tips": "Twoje urządzenie musi obsługiwać tę funkcję, a WebRTC musi być skonfigurowany dla komunikacji dwukierunkowej.",
+      "unavailable": "Komunikacja dwukierunkowa jest niedostępna dla tego strumienia",
+      "available": "Komunikacja dwukierunkowa jest dostępna dla tego strumienia"
+    },
+    "lowBandwidth": {
+      "resetStream": "Zresetuj strumień",
+      "tips": "Podgląd na żywo jest w trybie niskiej przepustowości z powodu buforowania lub błędów strumienia."
+    },
+    "playInBackground": {
+      "tips": "Włącz tę opcję, aby kontynuować transmisję, gdy odtwarzacz jest ukryty.",
+      "label": "Odtwarzaj w tle"
+    }
+  },
+  "cameraSettings": {
+    "title": "Ustawienia {{camera}}",
+    "cameraEnabled": "Kamera włączona",
+    "objectDetection": "Wykrywanie obiektów",
+    "recording": "Nagrywanie",
+    "snapshots": "Zrzuty ekranu",
+    "audioDetection": "Wykrywanie dźwięku",
+    "autotracking": "Automatyczne śledzenie"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Wszystkie",
+      "active_objects": "Aktywne obiekty",
+      "motion": "Ruch"
+    },
+    "notAllTips": "Twoja konfiguracja przechowywania nagrań {{source}} jest ustawiona na <code>tryb: {{effectiveRetainMode}}</code>, więc to nagrywanie na żądanie zachowa tylko segmenty z {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Edytuj układ",
+    "group": {
+      "label": "Edytuj grupę kamer"
+    },
+    "exitEdit": "Zakończ edycję"
+  },
+  "muteCameras": {
+    "enable": "Wycisz wszystkie kamery",
+    "disable": "Wyłącz wyciszenie wszystkich kamer"
+  },
+  "camera": {
+    "disable": "Wyłącz kamerę",
+    "enable": "Włącz kamerę"
+  },
+  "autotracking": {
+    "enable": "Włącz automatyczne śledzenie",
+    "disable": "Wyłącz automatyczne śledzenie"
+  },
+  "detect": {
+    "disable": "Wyłącz wykrywanie",
+    "enable": "Włącz wykrywanie"
+  },
+  "audioDetect": {
+    "enable": "Włącz wykrywanie dźwięku",
+    "disable": "Wyłącz wykrywanie dźwięku"
+  },
+  "streamingSettings": "Ustawienia transmisji",
+  "history": {
+    "label": "Pokaż nagrania archiwalne"
+  }
+}
diff --git a/web/public/locales/pl/views/recording.json b/web/public/locales/pl/views/recording.json
new file mode 100644
index 000000000..dfaf0c33e
--- /dev/null
+++ b/web/public/locales/pl/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtr",
+  "export": "Eksportuj",
+  "calendar": "Kalendarz",
+  "filters": "Filtry",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nie wybrano poprawnego zakresu czasu",
+      "endTimeMustAfterStartTime": "Czas końca musi być po czasie początku"
+    }
+  }
+}
diff --git a/web/public/locales/pl/views/search.json b/web/public/locales/pl/views/search.json
new file mode 100644
index 000000000..175b42a80
--- /dev/null
+++ b/web/public/locales/pl/views/search.json
@@ -0,0 +1,74 @@
+{
+  "search": "Szukaj",
+  "savedSearches": "Zapisane wyszukiwania",
+  "searchFor": "Szukaj {{inputValue}}",
+  "button": {
+    "clear": "Wyczyść wyszukiwanie",
+    "save": "Zapisz wyszukiwanie",
+    "delete": "Usuń zapisane wyszukiwanie",
+    "filterInformation": "Informacje o filtrze",
+    "filterActive": "Aktywne filtry"
+  },
+  "trackedObjectId": "ID śledzonego obiektu",
+  "filter": {
+    "label": {
+      "cameras": "Kamery",
+      "labels": "Etykiety",
+      "zones": "Strefy",
+      "sub_labels": "Podetykiety",
+      "min_score": "Min. wynik",
+      "max_score": "Maks. wynik",
+      "min_speed": "Min. prędkość",
+      "max_speed": "Maks. prędkość",
+      "recognized_license_plate": "Rozpoznana tablica rejestracyjna",
+      "has_clip": "Posiada klip",
+      "has_snapshot": "Posiada zrzut ekranu",
+      "after": "Po",
+      "search_type": "Typ wyszukiwania",
+      "time_range": "Zakres czasu",
+      "before": "Przed"
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Opis"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Data 'przed' musi być późniejsza niż data 'po'.",
+        "afterDatebeEarlierBefore": "Data 'po' musi być wcześniejsza niż data 'przed'.",
+        "minScoreMustBeLessOrEqualMaxScore": "'Min. wynik' musi być mniejszy lub równy 'maks. wynikowi'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "'Maks. wynik' musi być większy lub równy 'min. wynikowi'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'Min. prędkość' musi być mniejsza lub równa 'maks. prędkości'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'Maks. prędkość' musi być większa lub równa 'min. prędkości'."
+      }
+    },
+    "tips": {
+      "title": "Jak używać filtrów tekstowych",
+      "desc": {
+        "text": "Filtry pomagają zawęzić wyniki wyszukiwania. Oto jak używać ich w polu wejściowym:",
+        "example": "Przykład: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Wpisz nazwę filtra, a następnie dwukropek (np., \"kamery:\").</li><li>Wybierz wartość z sugestii lub wpisz własną.</li><li>Używaj wielu filtrów, dodając je jeden po drugim z odstępem pomiędzy.</li><li>Filtry dat (przed: i po:) używają formatu <em>{{DateFormat}}</em>.</li><li>Filtr zakresu czasu używa formatu <em>{{exampleTime}}</em>.</li><li>Usuwaj filtry klikając 'x' obok nich.</li></ul>",
+        "step2": "Wybierz wartość z sugestii lub wpisz własną.",
+        "step3": "Użyj kilku filtrów dodając jeden po drugim i oddzielając je spacją.",
+        "exampleLabel": "Przykład:",
+        "step1": "Wprowadź nazwę filtra z dwukropkiem (np.: \"cameras:\").",
+        "step4": "Filtry dat (before: i after:) użyj formatu {{DateFormat}}.",
+        "step5": "Filtr zakresu czasu wykorzystuje format {{exampleTime}}.",
+        "step6": "Usuń filtry klikając 'x' obok nich."
+      }
+    },
+    "header": {
+      "currentFilterType": "Wartości filtrów",
+      "noFilters": "Filtry",
+      "activeFilters": "Aktywne filtry"
+    }
+  },
+  "similaritySearch": {
+    "title": "Wyszukiwanie podobieństw",
+    "active": "Wyszukiwanie podobieństw aktywne",
+    "clear": "Wyczyść wyszukiwanie podobieństw"
+  },
+  "placeholder": {
+    "search": "Szukaj…"
+  }
+}
diff --git a/web/public/locales/pl/views/settings.json b/web/public/locales/pl/views/settings.json
new file mode 100644
index 000000000..fd45430f3
--- /dev/null
+++ b/web/public/locales/pl/views/settings.json
@@ -0,0 +1,687 @@
+{
+  "menu": {
+    "users": "Użytkownicy",
+    "notifications": "Powiadomienia",
+    "ui": "Interfejs Użytkownika",
+    "classification": "Klasyfikacja",
+    "cameras": "Ustawienia Kamery",
+    "frigateplus": "Frigate+",
+    "masksAndZones": "Maski / Strefy",
+    "motionTuner": "Konfigurator Ruchu",
+    "debug": "Debugowanie",
+    "enrichments": "Wzbogacenia"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Masz niezapisane zmiany.",
+      "desc": "Czy chcesz zapisać swoje zmiany przed kontynuowaniem?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Brak Kamery"
+  },
+  "general": {
+    "title": "Ustawienia Ogólne",
+    "storedLayouts": {
+      "title": "Zapisane Układy",
+      "clearAll": "Wyczyść Wszystkie Układy",
+      "desc": "Układ kamer w grupie można przeciągać/zmieniać rozmiar. Pozycje są zapisywane w lokalnej pamięci przeglądarki."
+    },
+    "calendar": {
+      "title": "Kalendarz",
+      "firstWeekday": {
+        "label": "Pierwszy dzień tygodnia",
+        "sunday": "Niedziela",
+        "monday": "Poniedziałek",
+        "desc": "Dzień od którego zaczyna się kalendarz przeglądu."
+      }
+    },
+    "liveDashboard": {
+      "automaticLiveView": {
+        "label": "Automatyczny Podgląd na Żywo",
+        "desc": "Automatycznie przełącz na podgląd na żywo kamery, gdy wykryta zostanie aktywność. Wyłączenie tej opcji spowoduje, że statyczne obrazy kamer na panelu Na Żywo będą aktualizowane tylko raz na minutę."
+      },
+      "title": "Panel Na Żywo",
+      "playAlertVideos": {
+        "label": "Odtwarzaj Filmy Alarmowe",
+        "desc": "Domyślnie, ostatnie alerty na panelu Na Żywo są odtwarzane jako małe zapętlone filmy. Wyłącz tę opcję, aby pokazywać tylko statyczny obraz ostatnich alertów na tym urządzeniu/przeglądarce."
+      }
+    },
+    "cameraGroupStreaming": {
+      "title": "Ustawienia Strumieniowania Grup Kamer",
+      "desc": "Ustawienia strumieniowania dla każdej grupy kamer są przechowywane w lokalnej pamięci przeglądarki.",
+      "clearAll": "Wyczyść Wszystkie Ustawienia Strumieniowania"
+    },
+    "recordingsViewer": {
+      "title": "Przeglądarka Nagrań",
+      "defaultPlaybackRate": {
+        "label": "Domyślna Prędkość Odtwarzania",
+        "desc": "Domyślna prędkość odtwarzania dla odtwarzania nagrań."
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Wyczyszczono zapisany układ dla {{cameraName}}",
+        "clearStreamingSettings": "Wyczyszczono ustawienia strumieniowania dla wszystkich grup kamer."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Nie udało się wyczyścić zapisanego układu: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Nie udało się wyczyścić ustawień strumieniowania: {{errorMessage}}"
+      }
+    }
+  },
+  "documentTitle": {
+    "default": "Ustawienia - Frigate",
+    "camera": "Ustawienia Kamery - Frigate",
+    "masksAndZones": "Edytor Masek i Stref - Frigate",
+    "frigatePlus": "Ustawienia Frigate+ - Frigate",
+    "classification": "Ustawienia Klasyfikacji - Frigate",
+    "general": "Ustawienia Ogólne - Frigate",
+    "authentication": "Ustawienia Uwierzytelniania - Frigate",
+    "motionTuner": "Konfigurator Ruchu - Frigate",
+    "object": "Debug - Frigate",
+    "notifications": "Ustawienia powiadomień - Frigate",
+    "enrichments": "Ustawienia wzbogacania - Frigate"
+  },
+  "classification": {
+    "title": "Ustawienia Klasyfikacji",
+    "semanticSearch": {
+      "modelSize": {
+        "small": {
+          "title": "mały",
+          "desc": "Używanie <em>małego</em> modelu wykorzystuje skwantyzowaną wersję, która zużywa mniej pamięci RAM i działa szybciej na procesorze przy bardzo nieznacznej różnicy w jakości osadzeń."
+        },
+        "large": {
+          "title": "duży",
+          "desc": "Używanie <em>dużego</em> modelu wykorzystuje pełny model Jina i automatycznie uruchomi się na GPU, jeśli jest dostępny."
+        },
+        "desc": "Rozmiar modelu używanego do osadzeń wyszukiwania semantycznego.",
+        "label": "Rozmiar Modelu"
+      },
+      "title": "Wyszukiwanie Semantyczne",
+      "desc": "Wyszukiwanie semantyczne w Frigate pozwala znaleźć śledzone obiekty w elementach przeglądu za pomocą samego obrazu, zdefiniowanego przez użytkownika opisu tekstowego lub automatycznie wygenerowanego opisu.",
+      "readTheDocumentation": "Przeczytaj Dokumentację",
+      "reindexNow": {
+        "label": "Przeindeksuj Teraz",
+        "desc": "Przeindeksowanie wygeneruje ponownie osadzenia dla wszystkich śledzonych obiektów. Ten proces działa w tle i może maksymalnie obciążyć procesor oraz zająć sporo czasu w zależności od liczby śledzonych obiektów.",
+        "confirmButton": "Przeindeksuj",
+        "success": "Przeindeksowanie rozpoczęte pomyślnie.",
+        "alreadyInProgress": "Przeindeksowanie jest już w toku.",
+        "error": "Nie udało się rozpocząć przeindeksowania: {{errorMessage}}",
+        "confirmTitle": "Potwierdź Przeindeksowanie",
+        "confirmDesc": "Czy na pewno chcesz przeindeksować osadzenia wszystkich śledzonych obiektów? Ten proces będzie działał w tle, ale może maksymalnie obciążyć procesor i zająć sporo czasu. Możesz śledzić postęp na stronie Eksploruj."
+      }
+    },
+    "faceRecognition": {
+      "title": "Rozpoznawanie Twarzy",
+      "desc": "Rozpoznawanie twarzy pozwala na przypisanie imion do osób przez Frigate jako podrzędna etykieta. Ta informacja jest zawarta w interfejsie użytkownika, filtrach jak i w powiadomieniach.",
+      "modelSize": {
+        "label": "Rozmiar Modelu",
+        "desc": "Rozmiar modelu używanego do rozpoznawania twarzy.",
+        "small": {
+          "title": "mały",
+          "desc": "Używanie <em>małego</em> modelu wykorzystuje model osadzania twarzy FaceNet, który działa efektywnie na większości procesorów."
+        },
+        "large": {
+          "title": "duży",
+          "desc": "Używanie <em>dużego</em> modelu wykorzystuje model osadzania twarzy ArcFace i automatycznie uruchomi się na GPU, jeśli jest dostępny."
+        }
+      },
+      "readTheDocumentation": "Przeczytaj Dokumentację"
+    },
+    "licensePlateRecognition": {
+      "title": "Rozpoznawanie Tablic Rejestracyjnych",
+      "desc": "Frigate może rozpoznawać tablice rejestracyjne pojazdów i automatycznie dodawać wykryte znaki do pola recognized_license_plate albo znaną nazwę jako etykietę podrzędną do obiektów typu samochód. Częstym przypadkiem użycia może być odczytywanie tablic rejestracyjnych samochodów wjeżdżających na podjazd albo przejeżdżających ulicą.",
+      "readTheDocumentation": "Przeczytaj Dokumentację"
+    },
+    "toast": {
+      "error": "Nie udało się zapisać zmian w konfiguracji: {{errorMessage}}",
+      "success": "Ustawienia klasyfikacji zostały zapisane. Uruchom ponownie Frigate aby wprowadzić swoje zmiany."
+    },
+    "birdClassification": {
+      "desc": "Klasyfikacja ptaków identyfikuje znane ptaki przy użyciu skwantyzowanego modelu Tensorflow. Gdy znany ptak zostanie rozpoznany, jego popularna nazwa zostanie dodana jako sub_label. Ta informacja jest uwzględniana w interfejsie użytkownika, filtrach oraz powiadomieniach.",
+      "title": "Klasyfikacja Ptaków"
+    },
+    "restart_required": "Wymagane ponowne uruchomienie (Zmienione ustawienia klasyfikacji)",
+    "unsavedChanges": "Niezapisane zmiany w ustawieniach klasyfikacji"
+  },
+  "camera": {
+    "title": "Ustawienia Kamery",
+    "reviewClassification": {
+      "noDefinedZones": "Brak stref zdefiniowanych dla tej kamery.",
+      "selectAlertsZones": "Wybierz strefy dla Alertów",
+      "title": "Klasyfikacja Przeglądu",
+      "desc": "Frigate kategoryzuje elementy przeglądu jako Alerty i Wykrycia. Domyślnie wszystkie obiekty <em>osoba</em> i <em>samochód</em> są traktowane jako Alerty. Możesz doprecyzować kategoryzację elementów przeglądu, konfigurując dla nich wymagane strefy.",
+      "readTheDocumentation": "Przeczytaj Dokumentację",
+      "objectAlertsTips": "Wszystkie obiekty {{alertsLabels}} na {{cameraName}} będą wyświetlane jako Alerty.",
+      "zoneObjectAlertsTips": "Wszystkie obiekty {{alertsLabels}} wykryte w strefie {{zone}} na {{cameraName}} będą wyświetlane jako Alerty.",
+      "zoneObjectDetectionsTips": {
+        "notSelectDetections": "Wszystkie obiekty {{detectionsLabels}} wykryte w strefie {{zone}} na {{cameraName}}, które nie są skategoryzowane jako Alerty, będą wyświetlane jako Wykrycia niezależnie od strefy, w której się znajdują.",
+        "regardlessOfZoneObjectDetectionsTips": "Wszystkie nieskategoryzowane obiekty {{detectionsLabels}} na {{cameraName}} będą wyświetlane jako Wykrycia niezależnie od strefy, w której się znajdują.",
+        "text": "Wszystkie nieskategoryzowane obiekty {{detectionsLabels}} w strefie {{zone}} na {{cameraName}} będą wyświetlane jako Wykrycia."
+      },
+      "toast": {
+        "success": "Konfiguracja klasyfikacji przeglądu została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+      },
+      "objectDetectionsTips": "Wszystkie nieskategoryzowane obiekty {{detectionsLabels}} na {{cameraName}} będą wyświetlane jako Wykrycia niezależnie od strefy, w której się znajdują.",
+      "limitDetections": "Ogranicz wykrycia do określonych stref",
+      "selectDetectionsZones": "Wybierz strefy dla Wykryć",
+      "unsavedChanges": "Niezapisane ustawienia klasyfikacji przeglądu dla {{camera}}"
+    },
+    "review": {
+      "alerts": "Alerty ",
+      "title": "Przegląd",
+      "detections": "Wykrycia ",
+      "desc": "Włącz/wyłącz alerty i wykrywania dla tej kamery. Po wyłączeniu nie będą generowane nowe elementy do przeglądu."
+    },
+    "streams": {
+      "desc": "Wyłączenie kamery całkowicie zatrzymuje przetwarzanie strumieni tej kamery przez Frigate. Wykrywanie, nagrywanie i debugowanie będą niedostępne.<br /><em>Uwaga: Nie wyłącza to przekazywania strumieni go2rtc.</em>",
+      "title": "Strumienie"
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Wszystkie Maski i Strefy"
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Nazwa strefy musi mieć co najmniej 2 znaki.",
+          "mustNotBeSameWithCamera": "Nazwa strefy nie może być taka sama jak nazwa kamery.",
+          "alreadyExists": "Strefa z tą nazwą już istnieje dla tej kamery.",
+          "hasIllegalCharacter": "Nazwa strefy zawiera niedozwolone znaki.",
+          "mustNotContainPeriod": "Nazwa strefy nie może zawierać kropki."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Odległość musi być większa lub równa 0.1.",
+          "mustBeFilled": "Wszystkie pola odległości muszą być wypełnione, aby używać szacowania prędkości."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Bezwładność musi być większa od 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Czas przebywania musi być większy lub równy 0."
+        }
+      },
+      "polygonDrawing": {
+        "snapPoints": {
+          "false": "Nie przyciągaj punktów",
+          "true": "Przyciągaj punkty"
+        },
+        "removeLastPoint": "Usuń ostatni punkt",
+        "reset": {
+          "label": "Wyczyść wszystkie punkty"
+        },
+        "delete": {
+          "title": "Potwierdź usunięcie",
+          "success": "{{name}} został usunięty.",
+          "desc": "Czy na pewno chcesz usunąć {{type}} <em>{{name}}</em>?"
+        },
+        "error": {
+          "mustBeFinished": "Rysowanie wielokąta musi być zakończone przed zapisaniem."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Próg prędkości musi być większy lub równy 0,1."
+        }
+      }
+    },
+    "zones": {
+      "label": "Strefy",
+      "documentTitle": "Edytuj Strefę - Frigate",
+      "desc": {
+        "title": "Strefy pozwalają na zdefiniowanie konkretnych obszarów kadru, dzięki czemu można sprawdzić, czy obiekt znajduje się w danym obszarze.",
+        "documentation": "Dokumentacja"
+      },
+      "add": "Dodaj Strefę",
+      "clickDrawPolygon": "Kliknij aby narysować wielokąt na obrazie.",
+      "edit": "Edytuj Strefę",
+      "name": {
+        "title": "Nazwa",
+        "inputPlaceHolder": "Wprowadź nazwę…",
+        "tips": "Nazwa musi mieć co najmniej 2 znaki i nie może być taka sama jak nazwa kamery lub innej strefy."
+      },
+      "objects": {
+        "title": "Obiekty",
+        "desc": "Lista obiektów dla tej strefy."
+      },
+      "allObjects": "Wszystkie Obiekty",
+      "point_one": "{{count}} punkt",
+      "point_few": "{{count}} punkty",
+      "point_many": "{{count}} punktów",
+      "inertia": {
+        "title": "Bezwładność",
+        "desc": "Określa, przez ile klatek obiekt musi znajdować się w strefie, zanim zostanie uznany za będący w strefie. <em>Domyślnie: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Czas przebywania",
+        "desc": "Ustala minimalny czas w sekundach, przez który obiekt musi znajdować się w strefie, aby ją aktywować. <em>Domyślnie: 0</em>"
+      },
+      "speedThreshold": {
+        "title": "Próg prędkości ({{unit}})",
+        "desc": "Określa minimalną prędkość, przy której obiekty są uwzględniane w tej strefie.",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Strefy z czasem przebywania większym niż 0 nie powinny być używane z szacowaniem prędkości.",
+            "pointLengthError": "Szacowanie prędkości zostało wyłączone dla tej strefy. Strefy z szacowaniem prędkości muszą mieć dokładnie 4 punkty."
+          }
+        }
+      },
+      "speedEstimation": {
+        "title": "Szacowanie prędkości",
+        "desc": "Włącz szacowanie prędkości dla obiektów w tej strefie. Strefa musi mieć dokładnie 4 punkty.",
+        "docs": "Przeczytaj dokumentację",
+        "lineADistance": "Odległość linii A ({{unit}})",
+        "lineBDistance": "Odległość linii B ({{unit}})",
+        "lineCDistance": "Odległość linii C ({{unit}})",
+        "lineDDistance": "Odległość linii D ({{unit}})"
+      },
+      "toast": {
+        "success": "Strefa ({{zoneName}}) została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+      }
+    },
+    "motionMasks": {
+      "desc": {
+        "documentation": "Dokumentacja",
+        "title": "Maski ruchu służą do zapobiegania wykrywaniu niepożądanych typów ruchu. Zbyt intensywne maskowanie utrudni śledzenie obiektów."
+      },
+      "point_one": "{{count}} punkt",
+      "point_few": "{{count}} punkty",
+      "point_many": "{{count}} punktów",
+      "clickDrawPolygon": "Kliknij aby narysować wielokąt na obrazie.",
+      "documentTitle": "Edytuj maskę ruchu - Frigate",
+      "add": "Nowa Maska Ruchu",
+      "polygonAreaTooLarge": {
+        "tips": "Maski ruchu nie zapobiegają wykrywaniu obiektów. Powinieneś użyć wymaganej strefy zamiast tego.",
+        "documentation": "Przeczytaj dokumentację",
+        "title": "Maska ruchu pokrywa {{polygonArea}}% ramki kamery. Duże maski ruchu nie są zalecane."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} został zapisany. Uruchom ponownie Frigate, aby zastosować zmiany.",
+          "noName": "Maska Ruchu została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+        }
+      },
+      "label": "Maska ruchu",
+      "edit": "Edytuj Maskę Ruchu",
+      "context": {
+        "documentation": "Przeczytaj dokumentację",
+        "title": "Maski ruchu są używane do zapobiegania niepożądanym typom ruchu przed wyzwalaniem detekcji (przykład: gałęzie drzew, znaczniki czasowe kamery). Maski ruchu powinny być używane <em>bardzo oszczędnie</em>, nadmierne maskowanie utrudni śledzenie obiektów."
+      }
+    },
+    "objectMasks": {
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} został zapisany. Uruchom ponownie Frigate aby wprowadzić zmiany.",
+          "noName": "Maska Obiektu została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+        }
+      },
+      "objects": {
+        "title": "Obiekty",
+        "allObjectTypes": "Wszystkie typy obiektów",
+        "desc": "Typ obiektu, który ma zastosowanie do tej maski obiektu."
+      },
+      "point_one": "{{count}} punkt",
+      "point_few": "{{count}} punkty",
+      "point_many": "{{count}} punktów",
+      "label": "Maski Obiektów",
+      "documentTitle": "Edytuj Maskę Obiektu - Frigate",
+      "desc": {
+        "title": "Maski filtrujące obiekty są używane do filtrowania fałszywych detekcji dla danego typu obiektu na podstawie lokalizacji.",
+        "documentation": "Dokumentacja"
+      },
+      "add": "Dodaj Maskę Obiektu",
+      "edit": "Edytuj Maskę Obiektu",
+      "clickDrawPolygon": "Kliknij, aby narysować wielokąt na obrazie.",
+      "context": "Maski filtrujące obiekty są używane do filtrowania fałszywych detekcji dla danego typu obiektu na podstawie lokalizacji."
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Skopiowano współrzędne dla {{polyName}} do schowka."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Nie udało się skopiować współrzędnych do schowka."
+      }
+    },
+    "restart_required": "Wymagane ponowne uruchomienie (maski/strefy zmienione)",
+    "motionMaskLabel": "Maska Ruchu {{number}}",
+    "objectMaskLabel": "Maska Obiektu {{number}} ({{label}})"
+  },
+  "debug": {
+    "objectList": "Lista Obiektów",
+    "debugging": "Debugowanie",
+    "title": "Debugowanie",
+    "detectorDesc": "Frigate używa twoich detektorów ({{detectors}}) do wykrywania obiektów w strumieniu wideo kamery.",
+    "boundingBoxes": {
+      "desc": "Pokaż ramki ograniczające wokół śledzonych obiektów",
+      "colors": {
+        "label": "Kolory Ramek Ograniczających Obiekty",
+        "info": "<li>Przy uruchomieniu, różne kolory zostaną przypisane do każdej etykiety obiektu</li><li>Ciemnoniebieska cienka linia oznacza, że obiekt nie jest wykrywany w tym momencie</li><li>Szara cienka linia oznacza, że obiekt jest wykrywany jako nieruchomy</li><li>Gruba linia oznacza, że obiekt jest przedmiotem automatycznego śledzenia (gdy włączone)</li>"
+      },
+      "title": "Ramki ograniczające"
+    },
+    "zones": {
+      "desc": "Pokaż kontur zdefiniowanych stref",
+      "title": "Strefy"
+    },
+    "desc": "Widok debugowania pokazuje podgląd śledzonych obiektów w czasie rzeczywistym i ich statystyki. Lista obiektów pokazuje opóźnione podsumowanie wykrytych obiektów.",
+    "noObjects": "Brak obiektów",
+    "timestamp": {
+      "title": "Znacznik czasu",
+      "desc": "Nałóż znacznik czasu na obraz"
+    },
+    "mask": {
+      "title": "Maski ruchu",
+      "desc": "Pokaż wielokąty maski ruchu"
+    },
+    "motion": {
+      "title": "Ramki ruchu",
+      "desc": "Pokaż ramki wokół obszarów, gdzie wykryto ruch",
+      "tips": "<p><strong>Ramki Ruchu</strong></p><br><p>Czerwone ramki będą nakładane na obszary kadru, gdzie aktualnie wykrywany jest ruch</p>"
+    },
+    "regions": {
+      "title": "Regiony",
+      "desc": "Pokaż ramkę regionu zainteresowania wysyłanego do detektora obiektów",
+      "tips": "<p><strong>Ramki Regionów</strong></p><br><p>Jasnozielone ramki będą nakładane na obszary zainteresowania w kadrze, które są wysyłane do detektora obiektów.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "document": "Przeczytaj dokumentację ",
+      "title": "Rysowanie Filtra Kształtu Obiektu",
+      "ratio": "Proporcja",
+      "score": "Wynik",
+      "tips": "Włącz tę opcję, aby narysować prostokąt na obrazie kamery w celu pokazania jego obszaru i proporcji. Te wartości mogą być następnie użyte do ustawienia parametrów filtra kształtu obiektu w twojej konfiguracji.",
+      "desc": "Narysuj prostokąt na obrazie, aby zobaczyć szczegóły obszaru i proporcji",
+      "area": "Obszar"
+    }
+  },
+  "motionDetectionTuner": {
+    "title": "Tuner Wykrywania Ruchu",
+    "desc": {
+      "title": "Frigate używa wykrywania ruchu jako pierwszej linii sprawdzenia, czy w kadrze dzieje się coś wartego sprawdzenia przez detekcję obiektów.",
+      "documentation": "Przeczytaj Przewodnik Dostrajania Ruchu"
+    },
+    "Threshold": {
+      "desc": "Wartość progowa określa, jak duża zmiana jasności piksela jest wymagana, aby uznać ją za ruch. <em>Domyślnie: 30</em>",
+      "title": "Próg"
+    },
+    "contourArea": {
+      "title": "Obszar Konturu",
+      "desc": "Wartość obszaru konturu służy do określenia, które grupy zmienionych pikseli kwalifikują się jako ruch. <em>Domyślnie: 10</em>"
+    },
+    "improveContrast": {
+      "desc": "Popraw kontrast dla ciemniejszych scen. <em>Domyślnie: WŁĄCZONE</em>",
+      "title": "Popraw Kontrast"
+    },
+    "toast": {
+      "success": "Ustawienia ruchu zostały zapisane."
+    },
+    "unsavedChanges": "Niezapisane zmiany w korektorze ruchu ({{camera}})"
+  },
+  "users": {
+    "addUser": "Dodaj Użytkownika",
+    "updatePassword": "Aktualizuj Hasło",
+    "toast": {
+      "success": {
+        "createUser": "Użytkownik {{user}} został utworzony pomyślnie",
+        "deleteUser": "Użytkownik {{user}} został usunięty pomyślnie",
+        "updatePassword": "Hasło zaktualizowane pomyślnie.",
+        "roleUpdated": "Rola zaktualizowana dla {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Nie udało się zapisać hasła: {{errorMessage}}",
+        "createUserFailed": "Nie udało się utworzyć użytkownika: {{errorMessage}}",
+        "deleteUserFailed": "Nie udało się usunąć użytkownika: {{errorMessage}}",
+        "roleUpdateFailed": "Nie udało się zaktualizować roli: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Nazwa użytkownika",
+      "actions": "Akcje",
+      "role": "Rola",
+      "noUsers": "Nie znaleziono użytkowników.",
+      "changeRole": "Zmień rolę użytkownika",
+      "password": "Hasło",
+      "deleteUser": "Usuń użytkownika"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Nazwa użytkownika",
+          "desc": "Dozwolone są tylko litery, cyfry, kropki i podkreślenia.",
+          "placeholder": "Wprowadź nazwę użytkownika"
+        },
+        "password": {
+          "strength": {
+            "strong": "Silne",
+            "title": "Siła hasła: ",
+            "weak": "Słabe",
+            "medium": "Średnie",
+            "veryStrong": "Bardzo silne"
+          },
+          "match": "Hasła pasują",
+          "confirm": {
+            "placeholder": "Potwierdź hasło",
+            "title": "Potwierdź hasło"
+          },
+          "title": "Hasło",
+          "placeholder": "Wprowadź hasło",
+          "notMatch": "Hasła nie pasują"
+        },
+        "newPassword": {
+          "placeholder": "Wprowadź nowe hasło",
+          "title": "Nowe hasło",
+          "confirm": {
+            "placeholder": "Wprowadź ponownie nowe hasło"
+          }
+        },
+        "usernameIsRequired": "Nazwa użytkownika jest wymagana",
+        "passwordIsRequired": "Hasło jest wymagane"
+      },
+      "changeRole": {
+        "desc": "Aktualizuj uprawnienia dla <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Wybierz właściwą rolę dla tego użytkownika:",
+          "admin": "Admin",
+          "adminDesc": "Pełny dostęp do wszystkich funkcjonalności.",
+          "viewerDesc": "Ograniczony wyłącznie do pulpitów na żywo, przeglądania, eksploracji i eksportu.",
+          "viewer": "Przeglądający"
+        },
+        "title": "Zmień rolę użytkownika",
+        "select": "Wybierz role"
+      },
+      "createUser": {
+        "title": "Utwórz nowego użytkownika",
+        "desc": "Dodaj nowe konto użytkownika i określ rolę dla dostępu do obszarów interfejsu Frigate.",
+        "usernameOnlyInclude": "Nazwa użytkownika może zawierać tylko litery, cyfry lub znak _",
+        "confirmPassword": "Proszę potwierdź swoje hasło"
+      },
+      "deleteUser": {
+        "title": "Usuń użytkownika",
+        "desc": "Tej akcji nie można cofnąć. Spowoduje to trwałe usunięcie konta użytkownika i wszystkich powiązanych danych.",
+        "warn": "Czy na pewno chcesz usunąć <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "updatePassword": "Aktualizuj hasło dla {{username}}",
+        "setPassword": "Ustaw hasło",
+        "desc": "Utwórz silne hasło, aby zabezpieczyć to konto.",
+        "cannotBeEmpty": "Hasło nie może być puste",
+        "doNotMatch": "Hasła nie pasują do siebie"
+      }
+    },
+    "management": {
+      "title": "Zarządzanie Użytkownikami",
+      "desc": "Zarządzaj kontami użytkowników tej instancji Frigate."
+    },
+    "title": "Użytkownicy"
+  },
+  "notification": {
+    "title": "Powiadomienia",
+    "notificationSettings": {
+      "title": "Ustawienia powiadomień",
+      "desc": "Frigate może wysyłać natywne powiadomienia push na twoje urządzenie, gdy działa w przeglądarce lub jest zainstalowany jako PWA.",
+      "documentation": "Przeczytaj dokumentację"
+    },
+    "notificationUnavailable": {
+      "title": "Powiadomienia niedostępne",
+      "desc": "Powiadomienia push w przeglądarce wymagają bezpiecznego kontekstu (<code>https://…</code>). To jest ograniczenie przeglądarki. Uzyskaj dostęp do Frigate przez bezpieczne połączenie, aby korzystać z powiadomień.",
+      "documentation": "Przeczytaj dokumentację"
+    },
+    "globalSettings": {
+      "title": "Ustawienia globalne",
+      "desc": "Tymczasowo wstrzymaj powiadomienia dla określonych kamer na wszystkich zarejestrowanych urządzeniach."
+    },
+    "suspendTime": {
+      "12hours": "Zawieś na 12 godzin",
+      "24hours": "Zawieś na 24 godziny",
+      "untilRestart": "Zawieś do restartu",
+      "1hour": "Zawieś na 1 godzinę",
+      "5minutes": "Zawieś na 5 minut",
+      "10minutes": "Zawieś na 10 minut",
+      "30minutes": "Zawieś na 30 minut",
+      "suspend": "Wstrzymaj"
+    },
+    "cancelSuspension": "Anuluj zawieszenie",
+    "toast": {
+      "error": {
+        "registerFailed": "Nie udało się zapisać rejestracji powiadomień."
+      },
+      "success": {
+        "settingSaved": "Ustawienia powiadomień zostały zapisane.",
+        "registered": "Rejestracja powiadomień zakończona powodzeniem. Przed wysłaniem jakichkolwiek powiadomień (włącznie z testowym) wymagane jest ponowne uruchomienie Frigate."
+      }
+    },
+    "email": {
+      "title": "Email",
+      "placeholder": "np. przyklad@email.com",
+      "desc": "Wymagany jest prawidłowy adres email, który będzie używany do powiadamiania Cię w przypadku problemów z usługą push."
+    },
+    "cameras": {
+      "title": "Kamery",
+      "noCameras": "Brak dostępnych kamer",
+      "desc": "Wybierz kamery, dla których chcesz włączyć powiadomienia."
+    },
+    "deviceSpecific": "Ustawienia specyficzne dla urządzenia",
+    "registerDevice": "Zarejestruj to urządzenie",
+    "active": "Powiadomienia aktywne",
+    "suspended": "Powiadomienia zawieszone {{time}}",
+    "unregisterDevice": "Wyrejestruj to urządzenie",
+    "sendTestNotification": "Wyślij testowe powiadomienie",
+    "unsavedRegistrations": "Niezapisane ustawienia rejestracji powiadomień",
+    "unsavedChanges": "Niezapisane zmiany ustawień powiadomień"
+  },
+  "frigatePlus": {
+    "title": "Ustawienia Frigate+",
+    "apiKey": {
+      "title": "Klucz API Frigate+",
+      "validated": "Klucz API Frigate+ został wykryty i zweryfikowany",
+      "plusLink": "Dowiedz się więcej o Frigate+",
+      "notValidated": "Klucz API Frigate+ nie został wykryty lub nie został zweryfikowany",
+      "desc": "Klucz API Frigate+ umożliwia integrację z usługą Frigate+."
+    },
+    "snapshotConfig": {
+      "title": "Konfiguracja zrzutów ekranu",
+      "documentation": "Przeczytaj dokumentację",
+      "desc": "Aby wysyłać dane do Frigate+, w konfiguracji muszą być włączone zarówno zwykłe zrzuty ekranu, jak i zrzuty typu <code>clean_copy</code>.",
+      "table": {
+        "snapshots": "Zrzuty ekranu",
+        "cleanCopySnapshots": "Zrzuty ekranu <code>clean_copy</code>",
+        "camera": "Kamera"
+      },
+      "cleanCopyWarning": "Niektóre kamery mają włączone zrzuty ekranu, ale mają wyłączoną funkcję czystej kopii. Musisz włączyć <code>clean_copy</code> w konfiguracji zrzutów ekranu, aby móc przesyłać obrazy z tych kamer do Frigate+."
+    },
+    "modelInfo": {
+      "title": "Informacje o modelu",
+      "modelType": "Typ modelu",
+      "trainDate": "Data treningu",
+      "supportedDetectors": "Wspierane detektory",
+      "dimensions": "Wymiary",
+      "cameras": "Kamery",
+      "loading": "Ładowanie informacji o modelu…",
+      "error": "Nie udało się załadować informacji o modelu",
+      "availableModels": "Dostępne modele",
+      "loadingAvailableModels": "Ładowanie dostępnych modeli…",
+      "baseModel": "Model bazowy",
+      "modelSelect": "Tutaj możesz wybrać swoje dostępne modele w Frigate+. Pamiętaj, że można wybrać tylko modele kompatybilne z Twoją aktualną konfiguracją detektora.",
+      "plusModelType": {
+        "baseModel": "Model bazowy",
+        "userModel": "Dostrojony"
+      }
+    },
+    "toast": {
+      "success": "Ustawienia Frigate+ zostały zapisane. Uruchom ponownie Frigate, aby zastosować zmiany.",
+      "error": "Nie udało się zapisać zmian konfiguracji: {{errorMessage}}"
+    },
+    "restart_required": "Wymagane ponowne uruchomienie (Zmieniony model Frigate+)",
+    "unsavedChanges": "Niezapisane zmiany ustawień Frigate+"
+  },
+  "enrichments": {
+    "faceRecognition": {
+      "title": "Rozpoznawanie twarzy",
+      "desc": "Rozpoznawanie twarzy pozwala na przypisywanie imion osobom, a gdy ich twarz zostanie rozpoznana, Frigate przypisze imię osoby jako sub label. Ta informacja jest wyświetlana w interfejsie, filtrach oraz powiadomieniach.",
+      "readTheDocumentation": "Przeczytaj Dokumentację",
+      "modelSize": {
+        "label": "Rozmiar modelu",
+        "desc": "Rozmiar modelu używanego do rozpoznawania twarzy.",
+        "small": {
+          "title": "mały",
+          "desc": "Użycie opcji <em>mały</em> wykorzystuje model osadzeń twarzy FaceNet, który działa wydajnie na większości procesorów."
+        },
+        "large": {
+          "title": "duży",
+          "desc": "Użycie opcji <em>duży</em> wykorzystuje model osadzeń twarzy ArcFace i automatycznie uruchomi się na karcie graficznej, jeśli jest dostępna."
+        }
+      }
+    },
+    "title": "Ustawienia wzbogacania",
+    "unsavedChanges": "Niezapisane zmiany ustawień wzbogacania",
+    "birdClassification": {
+      "title": "Klasyfikacja ptaków",
+      "desc": "Klasyfikacja ptaków identyfikuje znane gatunki przy użyciu skwantyzowanego modelu Tensorflow. Gdy rozpoznany zostanie znany ptak, jego zwyczajowa nazwa zostanie dodana jako sub_label. Ta informacja jest wyświetlana w interfejsie, filtrach oraz powiadomieniach."
+    },
+    "semanticSearch": {
+      "title": "Wyszukiwanie semantyczne",
+      "desc": "Wyszukiwanie semantyczne w Frigate pozwala na znajdowanie śledzonych obiektów w elementach przeglądowych za pomocą samego obrazu, opisu tekstowego zdefiniowanego przez użytkownika lub automatycznie wygenerowanego.",
+      "readTheDocumentation": "Przeczytaj Dokumentację",
+      "reindexNow": {
+        "label": "Reindeksuj teraz",
+        "desc": "Reindeksowanie zregeneruje osadzenia dla wszystkich śledzonych obiektów. Ten proces działa w tle i może maksymalnie obciążyć procesor oraz zająć sporo czasu w zależności od liczby śledzonych obiektów.",
+        "confirmTitle": "Potwierdź reindeksowanie",
+        "confirmDesc": "Czy na pewno chcesz reindeksować wszystkie osadzenia śledzonych obiektów? Ten proces będzie działał w tle, ale może maksymalnie obciążyć procesor i zająć sporo czasu. Postęp możesz śledzić na stronie Eksploruj.",
+        "confirmButton": "Reindeksuj",
+        "success": "Reindeksowanie zostało pomyślnie uruchomione.",
+        "alreadyInProgress": "Reindeksowanie już trwa.",
+        "error": "Nie udało się uruchomić reindeksowania: {{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "Rozmiar modelu",
+        "desc": "Rozmiar modelu używanego do osadzeń wyszukiwania semantycznego.",
+        "small": {
+          "title": "mały",
+          "desc": "Użycie opcji <em>mały</em> wykorzystuje skwantyzowaną wersję modelu, która zużywa mniej pamięci RAM i działa szybciej na procesorze przy zaniedbywalnej różnicy w jakości osadzeń."
+        },
+        "large": {
+          "title": "duży",
+          "desc": "Użycie opcji <em>duży</em> wykorzystuje pełny model Jina i automatycznie uruchomi się na karcie graficznej, jeśli jest dostępna."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Rozpoznawanie tablic rejestracyjnych",
+      "desc": "Frigate może rozpoznawać tablice rejestracyjne na pojazdach i automatycznie dodawać wykryte znaki do pola recognized_license_plate lub znaną nazwę jako sub_label do obiektów typu samochód. Typowy przypadek użycia to odczytywanie tablic rejestracyjnych samochodów wjeżdżających na podjazd lub przejeżdżających ulicą.",
+      "readTheDocumentation": "Przeczytaj Dokumentację"
+    },
+    "restart_required": "Wymagany restart (zmieniono ustawienia wzbogacania)",
+    "toast": {
+      "success": "Ustawienia wzbogacania zostały zapisane. Uruchom ponownie Frigate, aby zastosować zmiany.",
+      "error": "Nie udało się zapisać zmian konfiguracji: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/pl/views/system.json b/web/public/locales/pl/views/system.json
new file mode 100644
index 000000000..1d3003fac
--- /dev/null
+++ b/web/public/locales/pl/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Statystyki kamer - Frigate",
+    "storage": "Statystyki Magazynowania - Frigate",
+    "general": "Statystyki Ogólne - Frigate",
+    "enrichments": "Statystyki Wzbogacania - Frigate",
+    "logs": {
+      "frigate": "Logi Frigate - Frigate",
+      "go2rtc": "Logi Go2RTC - Frigate",
+      "nginx": "Logi Nginx - Frigate"
+    }
+  },
+  "general": {
+    "hardwareInfo": {
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Wynik Vainfo",
+          "returnCode": "Kod zwrotny: {{code}}",
+          "processOutput": "Wynik procesu:",
+          "processError": "Błąd procesu:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Wynik Nvidia SMI",
+          "name": "Nazwa: {{name}}",
+          "driver": "Sterownik: {{driver}}",
+          "cudaComputerCapability": "Możliwości obliczeniowe CUDA: {{cuda_compute}}",
+          "vbios": "Informacje VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Zamknij informacje o GPU"
+        },
+        "copyInfo": {
+          "label": "Kopiuj informacje o GPU"
+        },
+        "toast": {
+          "success": "Skopiowano informacje o GPU do schowka"
+        }
+      },
+      "title": "Informacje o sprzęcie",
+      "gpuEncoder": "Enkoder GPU",
+      "gpuDecoder": "Dekoder GPU",
+      "gpuMemory": "Pamięć GPU",
+      "gpuUsage": "Użycie GPU",
+      "npuUsage": "Użycie NPU",
+      "npuMemory": "Pamięć NPU"
+    },
+    "title": "Ogólne",
+    "detector": {
+      "title": "Detektory",
+      "inferenceSpeed": "Szybkość wnioskowania detektora",
+      "cpuUsage": "Użycie CPU przez detektor",
+      "memoryUsage": "Użycie pamięci przez detektor",
+      "temperature": "Temperatura detektora"
+    },
+    "otherProcesses": {
+      "title": "Inne procesy",
+      "processCpuUsage": "Użycie CPU przez proces",
+      "processMemoryUsage": "Użycie pamięci przez proces"
+    }
+  },
+  "cameras": {
+    "info": {
+      "stream": "Strumień {{idx}}",
+      "cameraProbeInfo": "{{camera}} Informacje o sondowaniu kamery",
+      "streamDataFromFFPROBE": "Dane strumienia są pozyskiwane za pomocą <code>ffprobe</code>.",
+      "video": "Wideo:",
+      "codec": "Kodek:",
+      "resolution": "Rozdzielczość:",
+      "fps": "FPS:",
+      "unknown": "Nieznany",
+      "audio": "Audio:",
+      "error": "Błąd: {{error}}",
+      "tips": {
+        "title": "Informacje o sondowaniu kamery"
+      },
+      "fetching": "Pobieranie danych kamery",
+      "aspectRatio": "proporcje"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Skopiowano dane sondowania do schowka."
+      },
+      "error": {
+        "unableToProbeCamera": "Nie można sondować kamery: {{errorMessage}}"
+      }
+    },
+    "title": "Kamery",
+    "overview": "Przegląd",
+    "framesAndDetections": "Klatki / Detekcje",
+    "label": {
+      "camera": "kamera",
+      "detect": "wykryj",
+      "skipped": "pominięte",
+      "ffmpeg": "FFmpeg",
+      "capture": "przechwytywanie",
+      "overallSkippedDetectionsPerSecond": "łączna liczba pominiętych detekcji na sekundę",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} liczba pominiętych detekcji na sekundę",
+      "overallFramesPerSecond": "łączna liczba klatek na sekundę",
+      "overallDetectionsPerSecond": "łączna liczba detekcji na sekundę",
+      "cameraCapture": "{{camName}} przechwytywanie",
+      "cameraDetect": "{{camName}} detekcja",
+      "cameraFramesPerSecond": "{{camName}} liczba klatek na sekundę",
+      "cameraDetectionsPerSecond": "{{camName}} liczba detekcji na sekundę",
+      "cameraFfmpeg": "{{camName}} FFmpeg"
+    }
+  },
+  "storage": {
+    "cameraStorage": {
+      "unused": {
+        "title": "Niewykorzystane",
+        "tips": "Ta wartość może niedokładnie przedstawiać wolne miejsce dostępne dla Frigate, jeśli masz inne pliki przechowywane na dysku poza nagraniami Frigate. Frigate nie śledzi wykorzystania magazynu poza swoimi nagraniami."
+      },
+      "title": "Magazyn kamery",
+      "camera": "Kamera",
+      "storageUsed": "Wykorzystany magazyn",
+      "percentageOfTotalUsed": "Procent całości",
+      "bandwidth": "Przepustowość",
+      "unusedStorageInformation": "Informacja o niewykorzystanym magazynie"
+    },
+    "title": "Magazyn",
+    "overview": "Przegląd",
+    "recordings": {
+      "title": "Nagrania",
+      "tips": "Ta wartość reprezentuje całkowite miejsce zajmowane przez nagrania w bazie danych Frigate. Frigate nie śledzi wykorzystania magazynu dla wszystkich plików na twoim dysku.",
+      "earliestRecording": "Najwcześniejsze dostępne nagranie:"
+    }
+  },
+  "logs": {
+    "copy": {
+      "error": "Nie udało się skopiować logów do schowka",
+      "label": "Kopiuj do Schowka",
+      "success": "Skopiowano logi do schowka"
+    },
+    "download": {
+      "label": "Pobierz Logi"
+    },
+    "type": {
+      "label": "Typ",
+      "timestamp": "Znacznik czasu",
+      "tag": "Tag",
+      "message": "Wiadomość"
+    },
+    "tips": "Logi są przesyłane strumieniowo z serwera",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Błąd pobierania logów: {{errorMessage}}",
+        "whileStreamingLogs": "Błąd podczas strumieniowania logów: {{errorMessage}}"
+      }
+    }
+  },
+  "title": "System",
+  "metrics": "Metryki systemowe",
+  "lastRefreshed": "Ostatnie odświeżenie: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} ma wysokie użycie CPU przez FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} ma wysokie użycie CPU przez detekcję ({{detectAvg}}%)",
+    "healthy": "System jest sprawny",
+    "reindexingEmbeddings": "Ponowne indeksowanie osadzeń ({{processed}}% ukończone)",
+    "detectIsSlow": "{{detect}} jest wolne ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} jest bardzo wolne ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} jest niedostępna"
+  },
+  "enrichments": {
+    "title": "Wzbogacenia",
+    "infPerSecond": "Wnioskowania na sekundę",
+    "embeddings": {
+      "image_embedding_speed": "Szybkość osadzania obrazów",
+      "face_embedding_speed": "Szybkość osadzania twarzy",
+      "plate_recognition_speed": "Szybkość rozpoznawania tablic rejestracyjnych",
+      "text_embedding_speed": "Szybkość osadzania tekstu",
+      "face_recognition_speed": "Szybkość rozpoznawania twarzy",
+      "image_embedding": "Osadzenie obrazu",
+      "plate_recognition": "Rozpoznawanie rejestracji samochodowych",
+      "yolov9_plate_detection_speed": "Prędkość detekcji rejestracji samochodowych YOLOv9",
+      "yolov9_plate_detection": "Detekcja rejestracji samochodowych YOLOv9",
+      "text_embedding": "Osadzenie tekstu",
+      "face_recognition": "Rozpoznawanie twarzy"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/audio.json b/web/public/locales/pt-BR/audio.json
new file mode 100644
index 000000000..04ee37d6b
--- /dev/null
+++ b/web/public/locales/pt-BR/audio.json
@@ -0,0 +1,429 @@
+{
+  "mantra": "Mantra",
+  "child_singing": "Criança cantando",
+  "speech": "Discurso",
+  "yell": "Gritar",
+  "chant": "Canto",
+  "babbling": "Balbuciando",
+  "bellow": "Abaixo",
+  "whoop": "Grito de Felicidade",
+  "whispering": "Sussurrando",
+  "laughter": "Risada",
+  "snicker": "Risada",
+  "crying": "Choro",
+  "sigh": "Suspirar",
+  "singing": "Cantoria",
+  "choir": "Coro",
+  "yodeling": "Cantando",
+  "bicycle": "Bicicleta",
+  "car": "Carro",
+  "motorcycle": "Moto",
+  "bus": "Ônibus",
+  "train": "Trem",
+  "boat": "Barco",
+  "bird": "Pássaro",
+  "cat": "Gato",
+  "dog": "Cachorro",
+  "rapping": "Cantando rap",
+  "horse": "Cavalo",
+  "humming": "Cantarolando",
+  "sheep": "Ovelha",
+  "synthetic_singing": "Canto Sintético",
+  "groan": "Gemido",
+  "grunt": "Grunhido",
+  "whistling": "Assobio",
+  "breathing": "Respiração",
+  "camera": "Câmera",
+  "wheeze": "Chiado",
+  "snoring": "Ronco",
+  "gasp": "Respiração Ofegante",
+  "pant": "Arfado",
+  "snort": "Bufado",
+  "cough": "Tosse",
+  "throat_clearing": "Pigarro",
+  "sneeze": "Espirro",
+  "sniff": "Fungado",
+  "run": "Executar",
+  "shuffle": "Embaralhar",
+  "footsteps": "Passos",
+  "chewing": "Mastigação",
+  "biting": "Mordida",
+  "gargling": "Gargarejo",
+  "stomach_rumble": "Ronco de Estômago",
+  "burping": "Arroto",
+  "skateboard": "Skate",
+  "hiccup": "Soluço",
+  "fart": "Flatulência",
+  "hands": "Mãos",
+  "finger_snapping": "Estalar de Dedos",
+  "clapping": "Palmas",
+  "heartbeat": "Batida de Coração",
+  "heart_murmur": "Sopro Cardíaco",
+  "cheering": "Comemoração",
+  "applause": "Aplausos",
+  "chatter": "Conversa",
+  "crowd": "Multidão",
+  "children_playing": "Crianças Brincando",
+  "animal": "Animal",
+  "pets": "Animais de Estimação",
+  "bark": "Latido",
+  "yip": "Latido / Grito Agudo",
+  "howl": "Uivado",
+  "bow_wow": "Latido",
+  "growling": "Rosnado",
+  "whimper_dog": "Choro de Cachorro",
+  "purr": "Ronronado",
+  "meow": "Miado",
+  "hiss": "Sibilo",
+  "caterwaul": "Lamúria",
+  "livestock": "Animais de Criação",
+  "clip_clop": "Galope",
+  "neigh": "Relincho",
+  "door": "Porta",
+  "cattle": "Gado",
+  "moo": "Mugido",
+  "cowbell": "Sino de Vaca",
+  "mouse": "Rato",
+  "pig": "Porco",
+  "oink": "Grunhido de Porco",
+  "keyboard": "Teclado",
+  "goat": "Cabra",
+  "bleat": "Balido",
+  "fowl": "Ave",
+  "chicken": "Galinha",
+  "sink": "Pia",
+  "cluck": "Cacarejo",
+  "cock_a_doodle_doo": "Cacarejado",
+  "blender": "Liquidificador",
+  "turkey": "Peru",
+  "gobble": "Deglutição",
+  "clock": "Relógio",
+  "duck": "Pato",
+  "quack": "Grasnado",
+  "scissors": "Tesouras",
+  "goose": "Ganso",
+  "honk": "Buzina",
+  "hair_dryer": "Secador de Cabelo",
+  "wild_animals": "Animais Selvagens",
+  "toothbrush": "Escova de Dentes",
+  "roaring_cats": "Felinos Rugindo",
+  "roar": "Rugido",
+  "vehicle": "Veículo",
+  "chirp": "Piado",
+  "squawk": "Guincho Animal",
+  "pigeon": "Pombo",
+  "dogs": "Cachorros",
+  "rats": "Ratos",
+  "coo": "Arrulhado de Pombo",
+  "crow": "Corvo",
+  "caw": "Grasnado de Corvo",
+  "owl": "Coruja",
+  "hoot": "Chirriado de Coruja",
+  "flapping_wings": "Bater de Asas",
+  "patter": "Passos Leves",
+  "insect": "Inseto",
+  "cricket": "Grilo",
+  "mosquito": "Mosquito",
+  "fly": "Mosca",
+  "buzz": "Zumbido",
+  "frog": "Sapo",
+  "croak": "Coaxado",
+  "snake": "Cobra",
+  "rattle": "Chocalho",
+  "whale_vocalization": "Vocalização de Baleia",
+  "music": "Música",
+  "musical_instrument": "Instrumento Musical",
+  "plucked_string_instrument": "Instrumento de Cordas Dedilhadas",
+  "guitar": "Violão",
+  "electric_guitar": "Guitarra",
+  "bass_guitar": "Baixo",
+  "acoustic_guitar": "Violão Acústico",
+  "steel_guitar": "Guitarra Havaiana",
+  "tapping": "Batidas Leves",
+  "strum": "Dedilhado",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "mandolin": "Bandolim",
+  "zither": "Cítara",
+  "ukulele": "Ukulele",
+  "piano": "Piano",
+  "electric_piano": "Piano Elétrico",
+  "organ": "Órgão",
+  "electronic_organ": "Órgão Eletrônico",
+  "hammond_organ": "Órgão Hammond",
+  "synthesizer": "Sintetizador",
+  "sampler": "Sampler",
+  "harpsichord": "Cravo (Instrumento Musical)",
+  "percussion": "Percussão",
+  "drum_kit": "Kit de Baterias",
+  "drum_machine": "Bateria Eletrônica",
+  "drum": "Tambor",
+  "snare_drum": "Caixa Clara",
+  "rimshot": "Rimshot",
+  "drum_roll": "Tambores Rufando",
+  "bass_drum": "Bumbo",
+  "timpani": "Tímpanos (Instrumento Musical)",
+  "tabla": "Tabla",
+  "wood_block": "Bloco de Madeira",
+  "bagpipes": "Gaita de Fole",
+  "pop_music": "Música Pop",
+  "grunge": "Grunge",
+  "middle_eastern_music": "Música do Oriente Médio",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Música Clássica",
+  "opera": "Ópera",
+  "electronic_music": "Música Eletrónica",
+  "house_music": "Música House",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Eletrónica",
+  "cymbal": "Címbalo",
+  "hi_hat": "Chimbau",
+  "tambourine": "Pandeiro",
+  "maraca": "Maraca",
+  "gong": "Gongo",
+  "tubular_bells": "Sinos Tubulares",
+  "mallet_percussion": "Percussão de Martelo",
+  "marimba": "Marimba",
+  "glockenspiel": "Glockenspiel",
+  "vibraphone": "Vibrafone",
+  "steelpan": "Panela de Aço",
+  "orchestra": "Orquestra",
+  "brass_instrument": "Instrumento de Metal",
+  "french_horn": "Trompa Francesa",
+  "trumpet": "Trombeta",
+  "trombone": "Trombone",
+  "bowed_string_instrument": "Instrumento de Cordas Friccionadas",
+  "string_section": "Seção de Cordas",
+  "violin": "Violino",
+  "pizzicato": "Pizzicato",
+  "cello": "Violoncelo",
+  "double_bass": "Contrabaixo",
+  "wind_instrument": "Instrumento de Sopro",
+  "flute": "Flauta",
+  "saxophone": "Saxofone",
+  "clarinet": "Clarinete",
+  "harp": "Harpa",
+  "bell": "Sino",
+  "church_bell": "Sino de Igreja",
+  "jingle_bell": "Guizo",
+  "bicycle_bell": "Campainha de Bicicleta",
+  "tuning_fork": "Diapasão",
+  "chime": "Carrilhão",
+  "wind_chime": "Sinos de Vento",
+  "harmonica": "Gaita",
+  "accordion": "Acordeão",
+  "didgeridoo": "Didjeridu",
+  "theremin": "Teremim",
+  "scratching": "Arranhado",
+  "hip_hop_music": "Música Hip-Hop",
+  "beatboxing": "Beatbox",
+  "rock_music": "Rock",
+  "heavy_metal": "Heavy Metal",
+  "punk_rock": "Punk Rock",
+  "progressive_rock": "Rock Progressivo",
+  "rock_and_roll": "Rock and Roll",
+  "psychedelic_rock": "Rock Psicodélico",
+  "rhythm_and_blues": "Rhythm and Blues",
+  "soul_music": "Música Soul",
+  "music_of_latin_america": "Music of Latin America",
+  "salsa_music": "Música Salsa",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Música para Crianças",
+  "new-age_music": "Música New Age",
+  "vocal_music": "Música Vocal",
+  "a_capella": "A Capella",
+  "music_of_africa": "Music of Africa",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Música Cristã",
+  "gospel_music": "Música Gospel",
+  "music_of_asia": "Music of Asia",
+  "carnatic_music": "Música Carnática",
+  "music_of_bollywood": "Música de Bollywood",
+  "ska": "Ska",
+  "traditional_music": "Música Tradicional",
+  "independent_music": "Música Independente",
+  "song": "Música",
+  "thunderstorm": "Tempestade",
+  "thunder": "Trovão",
+  "water": "Água",
+  "rain": "Chuva",
+  "raindrop": "Gota de Chuva",
+  "rain_on_surface": "Chuva na Superfície",
+  "stream": "Transmissão",
+  "waterfall": "Cachoeira",
+  "ocean": "Oceano",
+  "waves": "Ondas",
+  "steam": "Vapor",
+  "gurgling": "Borbulhado",
+  "fire": "Fogo",
+  "crackle": "Estalo",
+  "sailboat": "Veleiro",
+  "rowboat": "Barco a Remo",
+  "motorboat": "Lancha",
+  "ship": "Navio",
+  "motor_vehicle": "Veículo Motorizado",
+  "toot": "Buzinado",
+  "car_alarm": "Alarme de Carro",
+  "power_windows": "Vidros Elétricos",
+  "skidding": "Derrapado",
+  "singing_bowl": "Tigela Tibetana",
+  "reggae": "Reggae",
+  "country": "País",
+  "swing_music": "Música Swing",
+  "bluegrass": "Música Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Música Folk",
+  "electronic_dance_music": "Música Eletrônica",
+  "ambient_music": "Música Ambiente",
+  "trance_music": "Música Trance",
+  "background_music": "Música de Fundo",
+  "theme_music": "Música Tema",
+  "jingle": "Jingle",
+  "soundtrack_music": "Música de Trilha Sonora",
+  "lullaby": "Canção de Ninar",
+  "video_game_music": "Música de Video Game",
+  "christmas_music": "Música Natalina",
+  "dance_music": "Música Dance",
+  "wedding_music": "Música de Casamento",
+  "happy_music": "Música Feliz",
+  "sad_music": "Música Triste",
+  "tender_music": "Música Suave",
+  "exciting_music": "Música Empolgante",
+  "angry_music": "Música Raivosa",
+  "scary_music": "Música Assustadora",
+  "wind": "Vento",
+  "rustling_leaves": "Folhas Farfalhantes",
+  "fixed-wing_aircraft": "Aeronave de Asa Fixa",
+  "engine": "Motor",
+  "light_engine": "Motor Leve",
+  "dental_drill's_drill": "Broca Odontológica",
+  "lawn_mower": "Cortador de Grama",
+  "chainsaw": "Motosserra",
+  "medium_engine": "Motor Médio",
+  "heavy_engine": "Motor Pesado",
+  "engine_knocking": "Motor Batendo",
+  "engine_starting": "Motor Partindo",
+  "idling": "Marcha Lenta",
+  "chopping": "Cortando",
+  "frying": "Fritando",
+  "microwave_oven": "Forno Microondas",
+  "water_tap": "Torneira de Água",
+  "bathtub": "Banheira",
+  "toilet_flush": "Descarga de Vaso Sanitário",
+  "computer_keyboard": "Teclado de Computador",
+  "writing": "Escrita",
+  "alarm": "Alarme",
+  "telephone": "Telefone",
+  "telephone_bell_ringing": "Telefone Tocando",
+  "ringtone": "Toque de Celular",
+  "telephone_dialing": "Telefone Discando",
+  "dial_tone": "Tom de Discagem",
+  "busy_signal": "Sinal de Ocupado",
+  "alarm_clock": "Despertador",
+  "siren": "Sirene",
+  "civil_defense_siren": "Sirene de Defesa Civil",
+  "wind_noise": "Ruído de Vento",
+  "tire_squeal": "Pneus Cantando",
+  "car_passing_by": "Carro Passando",
+  "race_car": "Carro de Corrida",
+  "truck": "Pickup / Caminhão",
+  "air_brake": "Freios a Ar",
+  "air_horn": "Buzina a Ar",
+  "reversing_beeps": "Alarme de Ré",
+  "ice_cream_truck": "Carro de Sorvete",
+  "emergency_vehicle": "Veículo de Emergência",
+  "police_car": "Carro de Polícia",
+  "ambulance": "Ambulância",
+  "fire_engine": "Caminhão de Bombeiros",
+  "traffic_noise": "Barulho de Tráfego",
+  "rail_transport": "Transporte Ferroviário",
+  "train_whistle": "Apito de Trem",
+  "train_horn": "Buzina de Trem",
+  "railroad_car": "Vagão de Trem",
+  "train_wheels_squealing": "Rodas de Trem Rangendo",
+  "subway": "Metrô",
+  "aircraft": "Aeronave",
+  "aircraft_engine": "Motor de Aeronave",
+  "jet_engine": "Motor a Jato",
+  "propeller": "Hélice",
+  "helicopter": "Helicóptero",
+  "accelerating": "Acelerando",
+  "doorbell": "Campainha",
+  "ding-dong": "Toque de Campainha",
+  "sliding_door": "Porta de Correr",
+  "slam": "Batida Forte",
+  "knock": "Batida na Porta",
+  "burst": "Estouro / Rajada",
+  "eruption": "Erupção",
+  "boom": "Estrondo",
+  "wood": "Madeira",
+  "chop": "Barulho de Corte",
+  "splinter": "Lascado",
+  "crack": "Rachado",
+  "glass": "Vidro",
+  "chink": "Fenda",
+  "shatter": "Estilhaçado",
+  "silence": "Silêncio",
+  "sound_effect": "Efeito Sonoro",
+  "environmental_noise": "Ruido Ambiente",
+  "static": "Estático",
+  "white_noise": "Ruido Branco",
+  "pink_noise": "Ruido Rosa",
+  "television": "Televisão",
+  "radio": "Rádio",
+  "field_recording": "Gravação de Campo",
+  "scream": "Grito",
+  "tap": "Toque",
+  "squeak": "Rangido",
+  "cupboard_open_or_close": "Cristaleira Abrindo ou Fechando",
+  "drawer_open_or_close": "Gaveteiro Abrindo ou Fechando",
+  "dishes": "Pratos",
+  "cutlery": "Talheres",
+  "electric_toothbrush": "Escova de Dentes Elétrica",
+  "vacuum_cleaner": "Aspirador de Pó",
+  "zipper": "Zíper",
+  "keys_jangling": "Chaves Chacoalhando",
+  "coin": "Moeda",
+  "electric_shaver": "Barbeador Elétrico",
+  "shuffling_cards": "Embaralhar de Cartas",
+  "typing": "Digitação",
+  "typewriter": "Máquina de Escrever",
+  "buzzer": "Zumbador",
+  "smoke_detector": "Detector de Fumaça",
+  "fire_alarm": "Alarme de Incêndio",
+  "foghorn": "Buzina de Nevoeiro",
+  "whistle": "Apito",
+  "steam_whistle": "Apito a Vapor",
+  "mechanisms": "Mecanismos",
+  "ratchet": "Catraca",
+  "tick": "Tique",
+  "tick-tock": "Tique-Toque",
+  "gears": "Engrenagens",
+  "pulleys": "Polias",
+  "sewing_machine": "Máquina de Costura",
+  "mechanical_fan": "Ventilador Mecânico",
+  "air_conditioning": "Ar-Condicionado",
+  "cash_register": "Caixa Registradora",
+  "printer": "Impressora",
+  "single-lens_reflex_camera": "Câmera Single-Lens Reflex",
+  "tools": "Ferramentas",
+  "hammer": "Martelo",
+  "jackhammer": "Britadeira",
+  "sawing": "Som de Serra",
+  "filing": "Som de Lima",
+  "sanding": "Lixamento",
+  "power_tool": "Ferramenta Elétrica",
+  "drill": "Furadeira",
+  "explosion": "Explosão",
+  "gunshot": "Tiro",
+  "machine_gun": "Metralhadora",
+  "fusillade": "Fuzilamento",
+  "artillery_fire": "Fogo de Artilharia",
+  "cap_gun": "Espoleta",
+  "fireworks": "Fogos de Artifício",
+  "firecracker": "Rojões"
+}
diff --git a/web/public/locales/pt-BR/common.json b/web/public/locales/pt-BR/common.json
new file mode 100644
index 000000000..c5b789ccc
--- /dev/null
+++ b/web/public/locales/pt-BR/common.json
@@ -0,0 +1,265 @@
+{
+  "time": {
+    "untilForTime": "Até {{time}}",
+    "untilForRestart": "Até o Frigate reiniciar.",
+    "untilRestart": "Até reiniciar",
+    "ago": "{{timeAgo}} antes",
+    "justNow": "Agora mesmo",
+    "today": "Hoje",
+    "yesterday": "Ontem",
+    "last7": "Últimos 7 dias",
+    "last14": "Últimos 14 dias",
+    "last30": "Últimos 30 dias",
+    "thisWeek": "Essa semana",
+    "lastWeek": "Semana passada",
+    "thisMonth": "Este mês",
+    "lastMonth": "Mês passado",
+    "5minutes": "5 minutos",
+    "10minutes": "10 minutos",
+    "30minutes": "30 minutos",
+    "1hour": "1 hora",
+    "12hours": "12 horas",
+    "24hours": "24 horas",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}ano",
+    "year_one": "{{time}} ano",
+    "year_many": "{{time}} anos",
+    "year_other": "{{time}} anos",
+    "mo": "{{time}}mês",
+    "month_one": "{{time}} mês",
+    "month_many": "{{time}} meses",
+    "month_other": "{{time}} meses",
+    "d": "{{time}} dia",
+    "day_one": "{{time}} dia",
+    "day_many": "{{time}} dias",
+    "day_other": "{{time}} dias",
+    "h": "{{time}}h",
+    "hour_one": "{{time}} hora",
+    "hour_many": "{{time}} horas",
+    "hour_other": "{{time}} horas",
+    "m": "{{time}}m",
+    "minute_one": "{{time}} minuto",
+    "minute_many": "{{time}} minutos",
+    "minute_other": "{{time}} minutos",
+    "s": "{{time}}s",
+    "second_one": "{{time}} segundo",
+    "second_many": "{{time}} segundos",
+    "second_other": "{{time}} segundos",
+    "formattedTimestamp": {
+      "12hour": "d MMM,h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-hh-mm-ss",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    }
+  },
+  "selectItem": "Selecione {{item}}",
+  "unit": {
+    "speed": {
+      "mph": "mi/h",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "pés",
+      "meters": "metros"
+    }
+  },
+  "label": {
+    "back": "Voltar"
+  },
+  "button": {
+    "apply": "Aplicar",
+    "reset": "Resetar",
+    "done": "Concluído",
+    "enabled": "Habilitado",
+    "enable": "Habilitar",
+    "disabled": "Desativado",
+    "disable": "Desativar",
+    "save": "Salvar",
+    "saving": "Salvando…",
+    "cancel": "Cancelar",
+    "close": "Fechar",
+    "copy": "Copiar",
+    "back": "Voltar",
+    "history": "Histórico",
+    "fullscreen": "Tela Inteira",
+    "exitFullscreen": "Sair da Tela Inteira",
+    "pictureInPicture": "Miniatura Flutuante",
+    "twoWayTalk": "Áudio Bidirecional",
+    "cameraAudio": "Áudio da Câmera",
+    "on": "LIGADO",
+    "off": "DESLIGADO",
+    "edit": "Editar",
+    "copyCoordinates": "Copiar coordenadas",
+    "delete": "Deletar",
+    "yes": "Sim",
+    "no": "Não",
+    "download": "Baixar",
+    "info": "Informação",
+    "suspended": "Suspenso",
+    "unsuspended": "Não Suspenso",
+    "play": "Reproduzir",
+    "unselect": "Deselecionar",
+    "export": "Exportar",
+    "deleteNow": "Deletar Agora",
+    "next": "Próximo"
+  },
+  "menu": {
+    "system": "Sistema",
+    "systemMetrics": "Métricas de sistema",
+    "configuration": "Configuração",
+    "language": {
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Francês)",
+      "en": "English (Inglês)",
+      "es": "Español (Espanhol)",
+      "zhCN": "简体中文 (Chinês Simplificado)",
+      "ar": "العربية (Arábico)",
+      "pt": "Português (Português)",
+      "ru": "Русский (Russo)",
+      "de": "Deustch (Alemão)",
+      "ja": "日本語 (Japonês)",
+      "tr": "Türkçe (Turco)",
+      "it": "Italiano (Italiano)",
+      "nl": "Nederlands (Holandês)",
+      "sv": "Svenska (Sueco)",
+      "cs": "Čeština (Checo)",
+      "nb": "Norsk Bokmål (Bokmål Norueguês)",
+      "ko": "한국어 (Coreano)",
+      "vi": "Tiếng Việt (Vietnamita)",
+      "fa": "فارسی (Persa)",
+      "pl": "Polski (Polonês)",
+      "uk": "Українська (Ucraniano)",
+      "he": "עברית (Hebraico)",
+      "el": "Ελληνικά (Grego)",
+      "ro": "Română (Romeno)",
+      "hu": "Magyar (Húngaro)",
+      "fi": "Suomi (Finlandês)",
+      "da": "Dansk (Dinamarquês)",
+      "sk": "Slovenčina (Eslovaco)",
+      "yue": "粵語 (Cantonês)",
+      "th": "ไทย (Tailandês)",
+      "ca": "Català (Catalão)",
+      "withSystem": {
+        "label": "Usar as configurações de sistema para o idioma"
+      }
+    },
+    "systemLogs": "Logs de sistema",
+    "settings": "Configurações",
+    "configurationEditor": "Editor de Configuração",
+    "languages": "Idiomas",
+    "appearance": "Aparência",
+    "darkMode": {
+      "label": "Modo Escuro",
+      "light": "Claro",
+      "dark": "Escuro",
+      "withSystem": {
+        "label": "Use as configurações do sistema para modo claro ou escuro"
+      }
+    },
+    "withSystem": "Sistema",
+    "theme": {
+      "label": "Tema",
+      "blue": "Azul",
+      "green": "Verde",
+      "nord": "Nord",
+      "red": "Vermelho",
+      "highcontrast": "Alto Contraste",
+      "default": "Padrão"
+    },
+    "help": "Ajuda",
+    "documentation": {
+      "title": "Documentação",
+      "label": "Documentação do Frigate"
+    },
+    "restart": "Reiniciar o Frigate",
+    "live": {
+      "title": "Ao Vivo",
+      "allCameras": "Todas as câmeras",
+      "cameras": {
+        "title": "Câmeras",
+        "count_one": "{{count}} Câmera",
+        "count_many": "{{count}} Câmeras",
+        "count_other": "{{count}} Câmeras"
+      }
+    },
+    "review": "Revisão",
+    "explore": "Explorar",
+    "export": "Exportar",
+    "uiPlayground": "Playground da UI",
+    "faceLibrary": "Biblioteca de Rostos",
+    "user": {
+      "title": "Usuário",
+      "account": "Conta",
+      "current": "Usuário Atual: {{user}}",
+      "anonymous": "anônimo",
+      "logout": "Sair",
+      "setPassword": "Definir Senha"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL copiada para a área de transferência.",
+    "save": {
+      "title": "Salvar",
+      "error": {
+        "title": "Falha ao salvar as alterações de configuração: {{errorMessage}}",
+        "noMessage": "Falha ao salvar as alterações de configuração"
+      }
+    }
+  },
+  "role": {
+    "title": "Papel",
+    "admin": "Administrador",
+    "viewer": "Espectador",
+    "desc": "Administradores possuem acesso total a todos os recursos da interface do Frigate. Espectadores são limitados a ver as câmeras, revisar itens, e filmagens históricas na interface."
+  },
+  "pagination": {
+    "label": "paginação",
+    "previous": {
+      "title": "Anterior",
+      "label": "Ir para a página anterior"
+    },
+    "next": {
+      "title": "Próximo",
+      "label": "Ir para a próxima página"
+    },
+    "more": "Mais páginas"
+  },
+  "accessDenied": {
+    "documentTitle": "Acesso Negado - Frigate",
+    "title": "Acesso Negado",
+    "desc": "Você não possui permissão para visualizar essa página."
+  },
+  "notFound": {
+    "documentTitle": "Não Encontrado - Frigate",
+    "title": "404",
+    "desc": "Página não encontrada"
+  }
+}
diff --git a/web/public/locales/pt-BR/components/auth.json b/web/public/locales/pt-BR/components/auth.json
new file mode 100644
index 000000000..7172acaae
--- /dev/null
+++ b/web/public/locales/pt-BR/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nome de Usuário",
+    "password": "Senha",
+    "login": "Login",
+    "errors": {
+      "usernameRequired": "Nome de usuário é necessário",
+      "passwordRequired": "Senha necessária",
+      "rateLimit": "Limite de taxa excedido. Tente novamente mais tarde.",
+      "loginFailed": "Falha no Login",
+      "unknownError": "Erro desconhecido. Checar registros.",
+      "webUnknownError": "Erro desconhecido. Verifique os logs do console."
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/components/camera.json b/web/public/locales/pt-BR/components/camera.json
new file mode 100644
index 000000000..322e63522
--- /dev/null
+++ b/web/public/locales/pt-BR/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Grupo de Câmeras",
+    "add": "Adicionar Grupo de Câmeras",
+    "edit": "Edição Grupo de Câmera",
+    "delete": {
+      "label": "Deletar Grupo de Câmera",
+      "confirm": {
+        "title": "Confirmar Apagar",
+        "desc": "Você tem certeza que quer apagar o grupo de câmera <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nome",
+      "placeholder": "Digite um nome…",
+      "errorMessage": {
+        "mustLeastCharacters": "O nome do grupo de câmeras deve ter pelo menos 2 caracteres.",
+        "exists": "O nome do grupo de câmeras já existe.",
+        "nameMustNotPeriod": "O nome do grupo de câmeras não deve conter ponto.",
+        "invalid": "Nome de grupo de câmeras inválido."
+      }
+    },
+    "cameras": {
+      "label": "Câmeras",
+      "desc": "Selecione as câmeras para este grupo."
+    },
+    "icon": "Ícone",
+    "success": "O grupo de câmeras {{name}} foi salvo.",
+    "camera": {
+      "setting": {
+        "label": "Configurações de Streaming da Câmera",
+        "title": "Configurações de streaming da câmera {{cameraName}}",
+        "audioIsAvailable": "Áudio está disponível para esta transmissão",
+        "audioIsUnavailable": "Áudio indisponível para esta transmissão",
+        "desc": "Alterar as opções de transmissão ao vivo para o painel desse grupo de câmera. <em>Esses ajustes são específicos para esse dispositivo/navegador.</em>",
+        "audio": {
+          "tips": {
+            "title": "O audio deve ter a sua saída da câmera e configurado em go2rtc para essa transmissão.",
+            "document": "Leia a documentação "
+          }
+        },
+        "stream": "Transmissão",
+        "placeholder": "Selecionar transmissão ao vivo",
+        "streamMethod": {
+          "label": "Método de Transmissão",
+          "placeholder": "Selecione um método de transmissão",
+          "method": {
+            "noStreaming": {
+              "label": "Sem Transmissão",
+              "desc": "Imagens da câmera atualizarão apenas uma vez por minuto e não haverá transmissão ao vivo."
+            },
+            "smartStreaming": {
+              "label": "Transmissão Inteligente (recomendado)",
+              "desc": "O streaming inteligente atualizará a imagem da câmera uma vez por minuto quando não houver atividade detectável para economizar largura de banda e recursos. Quando alguma atividade for detectada, a imagem automáticamente mudará para a transmissão ao vivo."
+            },
+            "continuousStreaming": {
+              "label": "Transmissão Contínua",
+              "desc": {
+                "title": "A imagem da câmera será sempre uma transmissão ao vivo quando visível no painel, mesmo que não haja atividade sendo detectada.",
+                "warning": "A transmissão contínua pode causar alta utilização de banda e problemas de performance. Use com cuidado."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "Modo de compatibilidade",
+          "desc": "Habilite essa opção somente se a transmissão ao vivo da sua câmera estiver exibindo artefatos de cor e possui uma linha diagonal no canto esquerdo da imagem."
+        }
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Configurações",
+      "title": "Opções",
+      "showOptions": "Exibir Opções",
+      "hideOptions": "Ocultar Opções"
+    },
+    "zones": "Zonas",
+    "mask": "Máscara",
+    "motion": "Movimento",
+    "regions": "Regiões",
+    "boundingBox": "Caixa Delimitadora",
+    "timestamp": "Timestamp"
+  }
+}
diff --git a/web/public/locales/pt-BR/components/dialog.json b/web/public/locales/pt-BR/components/dialog.json
new file mode 100644
index 000000000..f180fe513
--- /dev/null
+++ b/web/public/locales/pt-BR/components/dialog.json
@@ -0,0 +1,114 @@
+{
+  "restart": {
+    "title": "Você tem certeza que deseja reiniciar o Frigate?",
+    "button": "Reiniciar",
+    "restarting": {
+      "title": "Frigate está Reiniciando",
+      "content": "Essa página vai recarregar em {{countdown}} segundos.",
+      "button": "Forçar Recarregar Agora"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Enviar para Frigate+",
+        "desc": "Objetos nos lugares que você quer evitar não são falsos positivos. Enviá-los como falsos positivos confundirá o modelo."
+      },
+      "review": {
+        "question": {
+          "label": "Confirmar esse rótulo para Frigate Plus",
+          "ask_a": "Este objeto é um <code>{{label}}</code>?",
+          "ask_an": "Este objeto é um<code>{{label}}</code>?",
+          "ask_full": "Este objeto é um<code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Enviado"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Ver no Histórico"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Selecione da Linha do tempo",
+      "lastHour_one": "Última hora",
+      "lastHour_many": "Últimas {{count}} horas",
+      "lastHour_other": "Últimas {{count}} horas",
+      "custom": "Personalizado",
+      "start": {
+        "title": "Hora de Início",
+        "label": "Selecione a Hora de Início"
+      },
+      "end": {
+        "title": "Hora de Término",
+        "label": "Selecione a Hora de Término"
+      }
+    },
+    "name": {
+      "placeholder": "Nomeie a Exportação"
+    },
+    "select": "Selecionar",
+    "export": "Exportar",
+    "selectOrExport": "Selecionar ou Exportar",
+    "toast": {
+      "success": "Exportação iniciada com sucesso. Veja o arquivo na pasta /exports.",
+      "error": {
+        "failed": "Falha em iniciar exportação: {{error}}",
+        "endTimeMustAfterStartTime": "Tempo de finalização deve ser após tempo de início",
+        "noVaildTimeSelected": "Nenhuma faixa de tempo válida selecionada"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Salvar Exportação",
+      "previewExport": "Pré-Visualizar Exportação"
+    }
+  },
+  "streaming": {
+    "label": "Transmissão",
+    "restreaming": {
+      "disabled": "A retransmissão não está habilitada para essa câmera.",
+      "desc": {
+        "title": "Configurar o go2rtc para opções de visualização ao vivo e audio adicional para essa câmera.",
+        "readTheDocumentation": "Leia a documentação"
+      }
+    },
+    "showStats": {
+      "label": "Exibir estatísticas da transmissão",
+      "desc": "Habilite essa opção para exibir as estatísticas de transmissão como uma sobreposição na transmissão da câmera."
+    },
+    "debugView": "Visualização do Depurador"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Salvar Busca",
+      "desc": "Indique um nome para essa pesquisa salva.",
+      "placeholder": "Dê um nome para a sua busca",
+      "overwrite": "{{searchName}} já existe. Salvar substituirá o valor existente.",
+      "success": "A pesquisa ({{searchName}}) foi salva.",
+      "button": {
+        "save": {
+          "label": "Salvar esta pesquisa"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "desc": {
+        "selected": "Tem certeza de que deseja excluir todos os vídeos gravados associados a este item de revisão?<br /><br />Segure a tecla <em>Shift</em> para ignorar esta caixa de diálogo no futuro."
+      },
+      "toast": {
+        "success": "As filmagens associadas aos itens de revisão selecionados foram excluídas com sucesso.",
+        "error": "Falha ao deletar: {{error}}"
+      },
+      "title": "Confirmar Exclusão"
+    },
+    "button": {
+      "markAsReviewed": "Marcar como revisado",
+      "export": "Exportar",
+      "deleteNow": "Deletar Agora"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/components/filter.json b/web/public/locales/pt-BR/components/filter.json
new file mode 100644
index 000000000..d503d3f13
--- /dev/null
+++ b/web/public/locales/pt-BR/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filtro",
+  "labels": {
+    "label": "Rótulos",
+    "all": {
+      "title": "Todos os Rótulos",
+      "short": "Rótulos"
+    },
+    "count_one": "{{count}} Rótulo",
+    "count_other": "{{count}} Rótulos"
+  },
+  "zones": {
+    "label": "Zonas",
+    "all": {
+      "title": "Todas as Zonas",
+      "short": "Zonas"
+    }
+  },
+  "dates": {
+    "selectPreset": "Selecione uma predefinição…",
+    "all": {
+      "title": "Todas as datas",
+      "short": "Datas"
+    }
+  },
+  "more": "Mais filtros",
+  "reset": {
+    "label": "Resetar filtros para valores padrão"
+  },
+  "timeRange": "Intervalo de Tempo",
+  "subLabels": {
+    "label": "Sub-Rótulos",
+    "all": "Todos os Sub-Rótulos"
+  },
+  "score": "Pontuação",
+  "estimatedSpeed": "Velocidade Estimada {{unit}}",
+  "features": {
+    "hasSnapshot": "Tem um snapshot",
+    "label": "Características",
+    "hasVideoClip": "Possui videoclipe",
+    "submittedToFrigatePlus": {
+      "label": "Enviado ao Frigate+",
+      "tips": "Você deve filtrar primeiro objetos que possuem capturas de imagem.<br /><br />Objetos rastreados sem capturas de imagem não serão enviados ao Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Ordenar",
+    "dateAsc": "Data (Ascendente)",
+    "dateDesc": "Data (Descendente)",
+    "scoreAsc": "Pontuação do Objeto (Ascendente)",
+    "scoreDesc": "Pontuação de Objeto (Descendente)",
+    "speedAsc": "Velocidade Estimada (Ascendente)",
+    "speedDesc": "Velocidade Estimada (Descendente)",
+    "relevance": "Relevância"
+  },
+  "cameras": {
+    "label": "Filtro de Câmeras",
+    "all": {
+      "title": "Todas as Câmeras",
+      "short": "Câmeras"
+    }
+  },
+  "review": {
+    "showReviewed": "Exibir Revisados"
+  },
+  "motion": {
+    "showMotionOnly": "Exibir Movimento Apenas"
+  },
+  "explore": {
+    "settings": {
+      "title": "Configurações",
+      "defaultView": {
+        "title": "Visualização Padrão",
+        "desc": "Quando nenhum filtro é selecionado, exibir um sumário dos objetos mais recentes rastreados por categoria, ou exiba uma grade sem filtro.",
+        "summary": "Sumário",
+        "unfilteredGrid": "Grade Sem Filtros"
+      },
+      "gridColumns": {
+        "desc": "Selecione o número de colunas na visualização em grade.",
+        "title": "Colunas de Grade"
+      },
+      "searchSource": {
+        "desc": "Escolha se deseja pesquisar nas miniaturas ou descrições dos seus objetos rastreados.",
+        "label": "Buscar Fonte",
+        "options": {
+          "thumbnailImage": "Imagem da Miniatura",
+          "description": "Descrição"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Selecione uma data para filtrar"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Nível de filtro de log",
+    "filterBySeverity": "Filtrar logs por severidade",
+    "loading": {
+      "title": "Carregando",
+      "desc": "Quando o painel de log é rolado para baixo, novos logs são transmitidos automaticamente conforme são adicionados."
+    },
+    "disableLogStreaming": "Desativar o log de tranmissão",
+    "allLogs": "Todos os logs"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmar Exclusão",
+    "desc": "Deletar esses {{objectLength}} objetos rastreados remove as capturas de imagem, qualquer embeddings salvos, e quaisquer entradas do ciclo de vida associadas do objeto. Gravações desses objetos rastreados na visualização de Histórico <em>NÃO</em> irão ser deletadas.<br /><br />Tem certeza que quer proceder?<br /><br />Segure a tecla <em>Shift</em> para pular esse diálogo no futuro.",
+    "toast": {
+      "success": "Objetos rastreados deletados com sucesso.",
+      "error": "Falha ao deletar objeto rastreado: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtrar por máscara de zona"
+  },
+  "recognizedLicensePlates": {
+    "title": "Placas de Identificação Reconhecidas",
+    "loadFailed": "Falha ao carregar placas de identificação reconhecidas.",
+    "loading": "Carregando placas de identificação reconhecidas…",
+    "placeholder": "Digite para pesquisar por placas de identificação…",
+    "noLicensePlatesFound": "Nenhuma placa de identificação encontrada.",
+    "selectPlatesFromList": "Seleciona uma ou mais placas da lista."
+  }
+}
diff --git a/web/public/locales/pt-BR/components/icons.json b/web/public/locales/pt-BR/components/icons.json
new file mode 100644
index 000000000..c038a0276
--- /dev/null
+++ b/web/public/locales/pt-BR/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecione um ícone",
+    "search": {
+      "placeholder": "Buscar por um ícone…"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/components/input.json b/web/public/locales/pt-BR/components/input.json
new file mode 100644
index 000000000..25a8190a3
--- /dev/null
+++ b/web/public/locales/pt-BR/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Baixar Video",
+      "toast": {
+        "success": "Sua análise do item de vídeo começou a ser baixado."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/components/player.json b/web/public/locales/pt-BR/components/player.json
new file mode 100644
index 000000000..370565b63
--- /dev/null
+++ b/web/public/locales/pt-BR/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Nenhuma gravação encontrada para este horário",
+  "noPreviewFound": "Nenhuma pré-visualização encontrada",
+  "noPreviewFoundFor": "Nenhuma Pré-Visualização Encontrada em {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Enviar esse frame para Frigate+?",
+    "submit": "Enviar"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ou superior é necessário para esse tipo de transmissão ao vivo.",
+  "streamOffline": {
+    "title": "Stream Offiline",
+    "desc": "Nenhum quadro foi recebido na stream {{cameraName}}<code>detect</code>, checar registros de erros"
+  },
+  "cameraDisabled": "A câmera está desativada",
+  "stats": {
+    "streamType": {
+      "title": "Tipo de fluxo:",
+      "short": "Tipo"
+    },
+    "bandwidth": {
+      "title": "Largura de banda:",
+      "short": "Largura de banda"
+    },
+    "latency": {
+      "title": "Latência:",
+      "value": "{{seconds}} segundos",
+      "short": {
+        "title": "Latência",
+        "value": "{{seconds}} s"
+      }
+    },
+    "totalFrames": "Total de Quadros:",
+    "droppedFrames": {
+      "title": "Quadros perdidos:",
+      "short": {
+        "title": "Perdidos",
+        "value": "{{droppedFrames}} quadros"
+      }
+    },
+    "decodedFrames": "Quadros Decodificados:",
+    "droppedFrameRate": "Taxa de Quadros Perdidos:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Quadro enviado ao Frigate+ com sucesso"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Falha em submeter quadro ao Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/objects.json b/web/public/locales/pt-BR/objects.json
new file mode 100644
index 000000000..48283d17b
--- /dev/null
+++ b/web/public/locales/pt-BR/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Pessoa",
+  "bicycle": "Bicicleta",
+  "car": "Carro",
+  "motorcycle": "Moto",
+  "airplane": "Avião",
+  "bus": "Ônibus",
+  "train": "Trem",
+  "boat": "Barco",
+  "traffic_light": "Semáforo",
+  "fire_hydrant": "Hidrante",
+  "street_sign": "Placa de rua",
+  "stop_sign": "Sinal de parada",
+  "parking_meter": "Parquímetro",
+  "bench": "Banco",
+  "bird": "Pássaro",
+  "cat": "Gato",
+  "dog": "Cachorro",
+  "horse": "Cavalo",
+  "sheep": "Ovelha",
+  "cow": "Vaca",
+  "elephant": "Elefante",
+  "bear": "Urso",
+  "zebra": "Zebra",
+  "giraffe": "Girafa",
+  "hat": "Chapéu",
+  "backpack": "Mochila",
+  "umbrella": "Guarda-Chuva",
+  "shoe": "Sapato",
+  "eye_glasses": "Óculos",
+  "handbag": "Bolsa",
+  "tie": "Gravata",
+  "suitcase": "Mala",
+  "frisbee": "Frisbe",
+  "skis": "Esquis",
+  "snowboard": "Snowboard",
+  "sports_ball": "Bola de Esportes",
+  "kite": "Pipa",
+  "baseball_bat": "Taco de Basebol",
+  "baseball_glove": "Luva de Basebol",
+  "skateboard": "Skate",
+  "plate": "Placa",
+  "surfboard": "Prancha de Surfe",
+  "tennis_racket": "Raquete de Tênis",
+  "bottle": "Garrafa",
+  "wine_glass": "Garrafa de Vinho",
+  "cup": "Copo",
+  "fork": "Garfo",
+  "knife": "Faca",
+  "spoon": "Colher",
+  "bowl": "Tigela",
+  "banana": "Banana",
+  "apple": "Maçã",
+  "animal": "Animal",
+  "sandwich": "Sanduíche",
+  "orange": "Laranja",
+  "broccoli": "Brócolis",
+  "bark": "Latido",
+  "carrot": "Cenoura",
+  "hot_dog": "Cachorro-Quente",
+  "pizza": "Pizza",
+  "donut": "Donut",
+  "cake": "Bolo",
+  "chair": "Cadeira",
+  "couch": "Sofá",
+  "potted_plant": "Planta em Vaso",
+  "bed": "Cama",
+  "mirror": "Espelho",
+  "dining_table": "Mesa de Jantar",
+  "window": "Janela",
+  "desk": "Mesa",
+  "toilet": "Vaso Sanitário",
+  "door": "Porta",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "mouse": "Rato",
+  "remote": "Controle Remoto",
+  "keyboard": "Teclado",
+  "goat": "Cabra",
+  "cell_phone": "Celular",
+  "microwave": "Microondas",
+  "oven": "Forno",
+  "toaster": "Torradeira",
+  "sink": "Pia",
+  "refrigerator": "Geladeira",
+  "blender": "Liquidificador",
+  "book": "Livro",
+  "clock": "Relógio",
+  "vase": "Vaso",
+  "scissors": "Tesouras",
+  "teddy_bear": "Ursinho de Pelúcia",
+  "hair_dryer": "Secador de Cabelo",
+  "toothbrush": "Escova de Dentes",
+  "hair_brush": "Escova de Cabelo",
+  "vehicle": "Veículo",
+  "squirrel": "Esquilo",
+  "deer": "Veado",
+  "on_demand": "Sob Demanda",
+  "face": "Rosto",
+  "fox": "Raposa",
+  "rabbit": "Coelho",
+  "raccoon": "Guaxinim",
+  "robot_lawnmower": "Cortador de Grama Robô",
+  "waste_bin": "Lixeira",
+  "license_plate": "Placa de Identificação",
+  "package": "Pacote",
+  "bbq_grill": "Grelha de Churrasco",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/pt-BR/views/configEditor.json b/web/public/locales/pt-BR/views/configEditor.json
new file mode 100644
index 000000000..1bd110a6f
--- /dev/null
+++ b/web/public/locales/pt-BR/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor de Configuração - Frigate",
+  "configEditor": "Editor de configuração",
+  "copyConfig": "Copiar Configuração",
+  "saveAndRestart": "Salvar & Reiniciar",
+  "saveOnly": "Salvar apenas",
+  "confirm": "Sair sem salvar?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configuração copiada para a área de transferência."
+    },
+    "error": {
+      "savingError": "Erro ao salvar configuração"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/events.json b/web/public/locales/pt-BR/views/events.json
new file mode 100644
index 000000000..1cd63daf0
--- /dev/null
+++ b/web/public/locales/pt-BR/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Alertas",
+  "detections": "Detecções",
+  "motion": {
+    "label": "Movimento",
+    "only": "Somente Movimento"
+  },
+  "allCameras": "Todas as Câmeras",
+  "empty": {
+    "alert": "Não existe nenhum alerta para revisar",
+    "detection": "Não há nenhuma detecção para revisar",
+    "motion": "Nenhum dado de movimento encontrado"
+  },
+  "timeline": "Linha do tempo",
+  "timeline.aria": "Selecione a linha do tempo",
+  "events": {
+    "label": "Eventos",
+    "aria": "Selecione eventos",
+    "noFoundForTimePeriod": "Nenhum evento encontrado neste período."
+  },
+  "recordings": {
+    "documentTitle": "Gravações - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Últimas 24 horas"
+  },
+  "markTheseItemsAsReviewed": "Marque estes itens como revisados",
+  "newReviewItems": {
+    "button": "Novos Itens para Revisão",
+    "label": "Ver novos itens para revisão"
+  },
+  "selected_one": "{{count}} selecionado(s)",
+  "documentTitle": "Revisão - Frigate",
+  "markAsReviewed": "Marcar como Revisado",
+  "selected_other": "{{count}} selecionado(s)",
+  "camera": "Câmera",
+  "detected": "detectado"
+}
diff --git a/web/public/locales/pt-BR/views/explore.json b/web/public/locales/pt-BR/views/explore.json
new file mode 100644
index 000000000..a43ee2b17
--- /dev/null
+++ b/web/public/locales/pt-BR/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "documentTitle": "Explorar - Frigate",
+  "generativeAI": "IA Generativa",
+  "exploreMore": "Explorar mais objetos {{label}}",
+  "exploreIsUnavailable": {
+    "title": "Explorar não está disponível",
+    "embeddingsReindexing": {
+      "context": "Explorar pode ser usado depois da incorporação do objeto rastreado terminar a reindexação.",
+      "startingUp": "Começando…",
+      "estimatedTime": "Time estimado faltando:",
+      "finishingShortly": "Terminando em breve",
+      "step": {
+        "thumbnailsEmbedded": "Miniaturas incorporadas: ",
+        "descriptionsEmbedded": "Descrições incorporadas: ",
+        "trackedObjectsProcessed": "Objetos rastreados processados: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate está baixando os modelos de embeddings necessários para oferecer suporte ao recurso de Pesquisa Semântica. Isso pode levar vários minutos, dependendo da velocidade da sua conexão de rede.",
+      "setup": {
+        "textModel": "Modelo de texto",
+        "textTokenizer": "Tokenizador de Texto",
+        "visionModel": "Modelo de visão",
+        "visionModelFeatureExtractor": "Extrator de características do modelo de visão"
+      },
+      "tips": {
+        "context": "Você pode querer reindexar as incorporações de seus objetos rastreados uma vez que os modelos forem baixados.",
+        "documentation": "Leia a documentação"
+      },
+      "error": "Um erro ocorreu. Verifique os registos do Frigate."
+    }
+  },
+  "details": {
+    "timestamp": "Carimbo de data e hora",
+    "item": {
+      "title": "Rever Detalhe dos itens",
+      "desc": "Revisar os detalhes do item",
+      "button": {
+        "share": "Compartilhar esse item revisado",
+        "viewInExplore": "Ver em Explorar"
+      },
+      "tips": {
+        "mismatch_one": "{{count}} objeto indisponível foi detectado e incluido nesse item de revisão. Esse objeto ou não se qualifica para um alerta ou detecção, ou já foi limpo/deletado.",
+        "mismatch_many": "{{count}} objetos indisponíveis foram detectados e incluídos nesse item de revisão. Esses objetos ou não se qualificam para um alerta ou detecção, ou já foram limpos/deletados.",
+        "mismatch_other": "{{count}} objetos indisponíveis foram detectados e incluídos nesse item de revisão. Esses objetos ou não se qualificam para um alerta ou detecção, ou já foram limpos/deletados.",
+        "hasMissingObjects": "Ajustar a sua configuração se quiser que o Frigate salve objetos rastreados com as seguintes categorias: <em>{{objects}}</em>"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Uma nova descrição foi solicitada do {{provider}}. Dependendo da velocidade do seu fornecedor, a nova descrição pode levar algum tempo para regenerar.",
+          "updatedSublabel": "Sub-categoria atualizada com sucesso.",
+          "updatedLPR": "Placa de identificação atualizada com sucesso."
+        },
+        "error": {
+          "regenerate": "Falha ao ligar para {{provider}} para uma descrição nova: {{errorMessage}}",
+          "updatedSublabelFailed": "Falha ao atualizar sub-categoria: {{errorMessage}}",
+          "updatedLPRFailed": "Falha ao atualizar placa de identificação: {{errorMessage}}"
+        }
+      }
+    },
+    "label": "Categoria",
+    "editSubLabel": {
+      "title": "Editar sub-categoria",
+      "desc": "Nomeie uma nova sub categoria para esse(a) {{label}}",
+      "descNoLabel": "Nomeie uma nova sub-categoria para esse objeto rastreado"
+    },
+    "editLPR": {
+      "title": "Editar placa de identificação",
+      "desc": "Entre um valor de placa de identificação para esse(a) {{label}}",
+      "descNoLabel": "Entre um novo valor de placa de identificação para esse objeto rastrado"
+    },
+    "snapshotScore": {
+      "label": "Pontuação da Captura de Imagem"
+    },
+    "topScore": {
+      "label": "Pontuação Mais Alta",
+      "info": "A pontuação mais alta é a pontuação mediana mais alta para o objeto rastreado, então pode ser diferente da pontuação mostrada na miniatura dos resultados de busca."
+    },
+    "recognizedLicensePlate": "Placa de Identificação Reconhecida",
+    "estimatedSpeed": "Velocidade Estimada",
+    "objects": "Objetos",
+    "camera": "Câmera",
+    "zones": "Zonas",
+    "button": {
+      "findSimilar": "Encontrar Semelhante",
+      "regenerate": {
+        "title": "Regenerar",
+        "label": "Regenerar descrição de objetos rastreados"
+      }
+    },
+    "description": {
+      "label": "Descrição",
+      "placeholder": "Descrição do objeto rastreado",
+      "aiTips": "O Frigate não solicitará a descrição do seu fornecedor de IA Generativa até que o ciclo de vida do objeto rastreado tenha finalizado."
+    },
+    "expandRegenerationMenu": "Expandir menu de regeneração",
+    "regenerateFromSnapshot": "Regenerar a partir de Captura de Imagem",
+    "regenerateFromThumbnails": "Regenerar a partir de Miniaturas",
+    "tips": {
+      "descriptionSaved": "Descrição salva com sucesso",
+      "saveDescriptionFailed": "Falha ao atualizar a descrição: {{errorMessage}}"
+    }
+  },
+  "trackedObjectDetails": "Detalhes do Objeto Rastreado",
+  "type": {
+    "details": "detalhes",
+    "snapshot": "captura de imagem",
+    "video": "vídeo",
+    "object_lifecycle": "ciclo de vida do obejto"
+  },
+  "objectLifecycle": {
+    "title": "Ciclo de Vida do Objeto",
+    "noImageFound": "Nenhuma imagem encontrada nessa marcação de horário.",
+    "createObjectMask": "Criar Máscara de Objeto",
+    "adjustAnnotationSettings": "Ajustar configurações de anotação",
+    "scrollViewTips": "Role a tela para ver momentos significantes do ciclo de vida desse objeto.",
+    "autoTrackingTips": "As posições da caixa delimitadora será inacurada para cameras com rastreamento automático.",
+    "count": "{{first}} de {{second}}",
+    "trackedPoint": "Ponto Rastreado",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} detectado",
+      "entered_zone": "{{label}} entrou em {{zones}}",
+      "active": "{{label}} se tornou ativo",
+      "stationary": "{{label}} se tornou estacionário",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectado para {{label}}",
+        "other": "{{label}} reconhecido como {{attribute}}"
+      },
+      "gone": "{{label}} esquerda",
+      "heard": "{{label}} escutado(a)",
+      "header": {
+        "zones": "Zonas",
+        "area": "Área",
+        "ratio": "Proporção"
+      },
+      "external": "{{label}} detectado(a)"
+    },
+    "annotationSettings": {
+      "title": "Configurações de anotação",
+      "showAllZones": {
+        "title": "Mostrar todas as zonas",
+        "desc": "Sempre exibir zonas nos quadros em que objetos entraram em uma zona."
+      },
+      "offset": {
+        "label": "Deslocamento da Anotação",
+        "desc": "Esses dados vem do feed de detecção da sua câmera, porém estão sobrepondo imagens da gravação. É improvável que duas transmissões estejam perfeitamente sincronizadas. Como resultado, as caixas delimitadoras e a gravação não se alinharam perfeitamente. Porém, o campo <code>annotation_offset</code> pode ser utilizado para ajustar isso.",
+        "documentation": "Leia a documentação. ",
+        "millisecondsToOffset": "Milisegundos para separar detecções de anotações.<em>Default: 0</em>",
+        "tips": "DICA: Imagine que haja um clipe de evento com uma pessoa caminhando da esquerda para a direita. Se a caixa delimitadora da linha do tempo do evento está consistentemente à esquerda da pessoa, então o valor deve ser reduzido. Similarmente, se a pessoa está caminhando da esquerda para a direita e a caixa delimitadora está consistentemente à frente da pessoa, então o valor deve ser aumentado.",
+        "toast": {
+          "success": "O deslocamento de anotação para a câmera {{camera}} foi salvo no arquivo de configuração. Reinicie o Frigate para aplicar as alterações."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Slide anterior",
+      "next": "Próximo slide"
+    }
+  },
+  "itemMenu": {
+    "findSimilar": {
+      "aria": "Encontrar objetos rastreados similares",
+      "label": "Encontrar similar"
+    },
+    "submitToPlus": {
+      "label": "Enviar ao Frigate+",
+      "aria": "Enviar ao Frigate Plus"
+    },
+    "downloadVideo": {
+      "label": "Baixar vídeo",
+      "aria": "Baixar vídeo"
+    },
+    "downloadSnapshot": {
+      "label": "Baixar captura de imagem",
+      "aria": "Baixar captura de imagem"
+    },
+    "viewObjectLifecycle": {
+      "label": "Ver ciclo de vida do objeto",
+      "aria": "Exibir o ciclo de vida do objeto"
+    },
+    "viewInHistory": {
+      "label": "Ver no Histórico",
+      "aria": "Ver no Histórico"
+    },
+    "deleteTrackedObject": {
+      "label": "Deletar esse objeto rastreado"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirmar Exclusão",
+      "desc": "Deletar esse objeto rastreado remove a captura de imagem, qualquer embedding salvo, e quaisquer entradas de ciclo de vida de objeto associadas. Gravações desse objeto rastreado na visualização de Histórico <em>NÃO</em> serão deletadas.<br /><br />Tem certeza que quer prosseguir?"
+    }
+  },
+  "noTrackedObjects": "Nenhum Objeto Rastreado Encontrado",
+  "fetchingTrackedObjectsFailed": "Erro ao buscar por objetos rastreados: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} objeto rastreado ",
+  "trackedObjectsCount_many": "{{count}} objetos rastreados ",
+  "trackedObjectsCount_other": "{{count}} objetos rastreados ",
+  "searchResult": {
+    "tooltip": "Correspondência com {{type}} de {{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Objeto rastreado deletado com sucesso.",
+        "error": "Falha ao detectar objeto rastreado {{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/exports.json b/web/public/locales/pt-BR/views/exports.json
new file mode 100644
index 000000000..892f719d2
--- /dev/null
+++ b/web/public/locales/pt-BR/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exportar - Frigate",
+  "search": "Buscar",
+  "noExports": "Nenhuma exportação encontrada",
+  "deleteExport": "Deletar Exportação",
+  "deleteExport.desc": "Você tem certeza que quer apagar {{exportName}}?",
+  "editExport": {
+    "title": "Exportar Renomear",
+    "desc": "Entre um novo nome para essa exportação.",
+    "saveExport": "Salvar exportação"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Falha ao renomear exportação: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/faceLibrary.json b/web/public/locales/pt-BR/views/faceLibrary.json
new file mode 100644
index 000000000..d08b38110
--- /dev/null
+++ b/web/public/locales/pt-BR/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "details": {
+    "person": "Pessoa",
+    "unknown": "Desconhecido",
+    "face": "Detalhes do Rosto",
+    "subLabelScore": "Pontuação do Sub-Rótulo",
+    "scoreInfo": "A pontuação do sub-rótulo é a pontuação ponderada de todas as confidências faciais reconhecidas, então a pontuação pode ser diferente da mostrada na foto instantânea.",
+    "faceDesc": "Detalhes do objeto rastreado que gerou este rosto",
+    "timestamp": "Carimbo de data e hora"
+  },
+  "selectItem": "Selecione {{item}}",
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Por favor selecione um arquivo de imagem."
+    },
+    "maxSize": "Tamanho máximo: {{size}}MB",
+    "dropActive": "Solte a imagem aqui…",
+    "dropInstructions": "Arraste e solte uma imagem aqui, ou clique para selecionar"
+  },
+  "deleteFaceLibrary": {
+    "title": "Apagar Nome",
+    "desc": "Tem certeza que quer deletar a coleção {{name}}? Isso deletará permanentemente todos os rostos associados."
+  },
+  "button": {
+    "addFace": "Adicionar Rosto",
+    "renameFace": "Renomear Rosto",
+    "deleteFace": "Remover Rosto",
+    "deleteFaceAttempts": "Remover Rostos",
+    "reprocessFace": "Reprocessar Rosto",
+    "uploadImage": "Enviar Imagem"
+  },
+  "createFaceLibrary": {
+    "new": "Criar Novo Rosto",
+    "title": "Criar Coleção",
+    "desc": "Criar uma nova coleção",
+    "nextSteps": "Para construir uma base forte:<li> Use a aba Teinar para selecionar e treinar em imagens para cada pessoa detectada.</li><li> Foque em imagens retas para melhores resultados; evite treinar imagens que capturam rostos em um ângulo.</li></ul>"
+  },
+  "deleteFaceAttempts": {
+    "title": "Apagar Rostos",
+    "desc_one": "Você tem certeza que quer deletar {{count}} rosto? Essa ação não pode ser desfeita.",
+    "desc_many": "Você tem certeza que quer deletar {{count}} rostos? Essa ação não pode ser desfeita.",
+    "desc_other": ""
+  },
+  "renameFace": {
+    "title": "Renomear Rosto",
+    "desc": "Entre com o novo nome para {{name}}"
+  },
+  "nofaces": "Sem rostos disponíveis",
+  "pixels": "{{area}}px",
+  "readTheDocs": "Leia a documentação",
+  "steps": {
+    "nextSteps": "Próximos Passos",
+    "faceName": "Digite o Nome do Rosto",
+    "uploadFace": "Enviar Imagem de Rosto",
+    "description": {
+      "uploadFace": "Faça o upload de uma imagem de {{name}} que mostre seu rosto visto de frente. A imagem não precisa estar recortada apenas com o rosto."
+    }
+  },
+  "description": {
+    "placeholder": "Informe um nome para esta coleção",
+    "addFace": "Passo a Passo para adicionar uma nova coleção a Biblioteca Facial.",
+    "invalidName": "Nome inválido. Nomes podem incluir apenas letras, números, espaços, apóstrofos, sublinhados e hífenes."
+  },
+  "documentTitle": "Biblioteca de rostos - Frigate",
+  "uploadFaceImage": {
+    "title": "Carregar imagem facial",
+    "desc": "Envie uma imagem para escanear por faces e incluir em {{pageToggle}}"
+  },
+  "collections": "Coleções",
+  "train": {
+    "title": "Treinar",
+    "aria": "Selecionar treinar",
+    "empty": "Não há tentativas recentes de reconhecimento facial"
+  },
+  "selectFace": "Selecionar Rosto",
+  "trainFaceAs": "Treinar Rosto como:",
+  "trainFace": "Treinar Rosto",
+  "toast": {
+    "success": {
+      "uploadedImage": "Imagens enviadas com sucesso.",
+      "addFaceLibrary": "{{name}} foi adicionado com sucesso à Biblioteca de Rostos!",
+      "deletedFace_one": "{{count}} rosto apagado com sucesso.",
+      "deletedFace_many": "{{count}} rostos apagados com sucesso.",
+      "deletedFace_other": "{{count}} rostos apagados com sucesso.",
+      "trainedFace": "Rosto treinado com sucesso.",
+      "updatedFaceScore": "Pontuação de rosto atualizada com sucesso.",
+      "renamedFace": "O rosto foi renomeado com sucesso para {{name}}",
+      "deletedName_one": "{{count}} rosto foi deletado com sucesso.",
+      "deletedName_many": "{{count}} rostos foram deletados com sucesso.",
+      "deletedName_other": "{{count}} rostos foram deletados com sucesso."
+    },
+    "error": {
+      "uploadingImageFailed": "Falha ao enviar a imagem: {{errorMessage}}",
+      "addFaceLibraryFailed": "Falha ao definir o nome do rosto: {{errorMessage}}",
+      "deleteFaceFailed": "Falha em deletar: {{errorMessage}}",
+      "deleteNameFailed": "Falha ao deletar nome: {{errorMessage}}",
+      "renameFaceFailed": "Falha ao renomear rosto: {{errorMessage}}",
+      "trainFailed": "Falha ao treinar: {{errorMessage}}",
+      "updateFaceScoreFailed": "Falha ao atualizar pontuação de rosto: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/live.json b/web/public/locales/pt-BR/views/live.json
new file mode 100644
index 000000000..97ca4675c
--- /dev/null
+++ b/web/public/locales/pt-BR/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Ao Vivo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Ao vivo - Frigate",
+  "lowBandwidthMode": "Modo de baixa largura de banda",
+  "twoWayTalk": {
+    "enable": "Habilitar Fala em Dois Sentidos",
+    "disable": "Desabilitar Fala em Dois Sentidos"
+  },
+  "cameraAudio": {
+    "enable": "Habilitar Áudio da Câmera",
+    "disable": "Desabilitar Audio da Câmera"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Clique no quadro para centralizar a câmera",
+        "enable": "Ativar clique para mover",
+        "disable": "Desativar clique para mover"
+      },
+      "left": {
+        "label": "Mova a câmera PTZ para a esquerda"
+      },
+      "up": {
+        "label": "Mova a câmera PTZ para cima"
+      },
+      "down": {
+        "label": "Mova a câmera PTZ para baixo"
+      },
+      "right": {
+        "label": "Mova a câmera PTZ para a direita"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Clique no quadro para centralizar a câmera PTZ"
+      }
+    },
+    "presets": "Predefinições de câmera PTZ",
+    "zoom": {
+      "in": {
+        "label": "Aumentar Zoom na câmera PTZ"
+      },
+      "out": {
+        "label": "Diminuir Zoom na câmera PTZ"
+      }
+    }
+  },
+  "camera": {
+    "enable": "Ativar Câmera",
+    "disable": "Desabilitar Câmera"
+  },
+  "muteCameras": {
+    "enable": "Silenciar Todas as Câmeras",
+    "disable": "Ativar Áudio de Todas as Câmeras"
+  },
+  "detect": {
+    "enable": "Ativar Detecção",
+    "disable": "Desativar Detecção"
+  },
+  "recording": {
+    "enable": "Ativar Gravação",
+    "disable": "Desativar Gravação"
+  },
+  "snapshots": {
+    "enable": "Permitir Capturas de Imagem",
+    "disable": "Desativar Campturas de Imagem"
+  },
+  "audioDetect": {
+    "enable": "Ativar Detecção de Áudio",
+    "disable": "Desabilitar Detecção de Áudio"
+  },
+  "autotracking": {
+    "enable": "Habilitar Rastreamento Automático",
+    "disable": "Desabilitar Rastreamento Automático"
+  },
+  "streamStats": {
+    "enable": "Exibir Estatísticas de Transmissão",
+    "disable": "Ocultar Estatísticas de Transmissão"
+  },
+  "manualRecording": {
+    "title": "Gravação Sob Demanda",
+    "tips": "Inicie um evento manual baseado nas configurações de retenção de gravação dessa câmera.",
+    "playInBackground": {
+      "label": "Reproduzir em segundo plano",
+      "desc": "Habilite essa opção para continuar transmitindo quando o reprodutor estiver oculto."
+    },
+    "showStats": {
+      "label": "Exibir Estatísticas",
+      "desc": "Habilite esta opção para exibir as estatísticas da transmissão como uma sobreposição no feed da câmera."
+    },
+    "start": "Iniciar gravação sob demanda",
+    "started": "Iniciou a gravação manual sob demanda.",
+    "failedToStart": "Falha ao iniciar a gravação manual sob demanda.",
+    "recordDisabledTips": "Como a gravação está desabilitada ou restrita na configuração desta câmera, apenas um instantâneo será salvo.",
+    "end": "Fim da gravação sob demanda",
+    "failedToEnd": "Falha ao finalizar a gravação manual sob demanda.",
+    "debugView": "Visualização de Depuração",
+    "ended": "Gravação manual sob demanda finalizada."
+  },
+  "streamingSettings": "Configurações de Transmissão",
+  "notifications": "Notificações",
+  "audio": "Áudio",
+  "suspend": {
+    "forTime": "Suspender por: "
+  },
+  "stream": {
+    "title": "Transmissão",
+    "audio": {
+      "tips": {
+        "title": "O áudio deve sair da sua câmera e configurado no go2rtc para essa transmissão.",
+        "documentation": "Leia da documentação. "
+      },
+      "available": "Áudio disponível para essa transmissão",
+      "unavailable": "O áudio não está disponível para essa transmissão"
+    },
+    "twoWayTalk": {
+      "tips": "O seu dispostivio precisa suportar esse recurso e o WebRTC precisa estar configurado para áudio bidirecional.",
+      "tips.documentation": "Leia a documentação. ",
+      "available": "Áudio bidirecional está disponível para essa transmissão",
+      "unavailable": "Áudio bidirecional está indisponível para essa transmissão"
+    },
+    "lowBandwidth": {
+      "tips": "A transmissão ao vivo está em modo de economia de dados devido a erros de buffering ou de transmissão.",
+      "resetStream": "Resetar transmissão"
+    },
+    "playInBackground": {
+      "label": "Reproduzir em segundo plano",
+      "tips": "Habilitar essa opção para continuar a transmissão quando o reprodutor estiver oculto."
+    }
+  },
+  "cameraSettings": {
+    "title": "Configurações de {{camera}}",
+    "cameraEnabled": "Câmera Habilitada",
+    "objectDetection": "Detecção de Objeto",
+    "recording": "Gravação",
+    "snapshots": "Capturas de Imagem",
+    "audioDetection": "Detecção de Áudio",
+    "autotracking": "Auto Rastreamento"
+  },
+  "history": {
+    "label": "Exibir gravação histórica"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Todos",
+      "motion": "Movimento",
+      "active_objects": "Objetos Ativos"
+    },
+    "notAllTips": "A configuração de retenção da sua gravação do(a) {{source}} está definida para o <code>modo: {{effectiveRetainMode}}</code>, então essa gravação sob demanda irá manter somente os segmentos com o {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Editar Layout",
+    "group": {
+      "label": "Editar Grupo de Câmera"
+    },
+    "exitEdit": "Sair da Edição"
+  }
+}
diff --git a/web/public/locales/pt-BR/views/recording.json b/web/public/locales/pt-BR/views/recording.json
new file mode 100644
index 000000000..fd7cf6e7d
--- /dev/null
+++ b/web/public/locales/pt-BR/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtro",
+  "export": "Exportar",
+  "calendar": "Calendário",
+  "filters": "Filtros",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nenhum intervalo de tempo selecionado",
+      "endTimeMustAfterStartTime": "O tempo de término deve ser após o tempo de início"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/search.json b/web/public/locales/pt-BR/views/search.json
new file mode 100644
index 000000000..19bf1a205
--- /dev/null
+++ b/web/public/locales/pt-BR/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Buscar",
+  "savedSearches": "Buscas Salvas",
+  "searchFor": "Procurar por {{inputValue}}",
+  "button": {
+    "clear": "Limpar procurar",
+    "save": "Salvar pesquisa",
+    "delete": "Apagar procura salva",
+    "filterInformation": "Filtrar informação",
+    "filterActive": "Filtros ativos"
+  },
+  "trackedObjectId": "ID do objeto rastreado",
+  "filter": {
+    "label": {
+      "cameras": "Câmeras",
+      "labels": "Rótulos",
+      "zones": "Zonas",
+      "before": "Antes",
+      "after": "Depois",
+      "min_score": "Pontuação Mínima",
+      "max_score": "Pontuação Máxima",
+      "min_speed": "Velocidade Mínima",
+      "max_speed": "Velocidade Máxima",
+      "sub_labels": "Sub-Rótulos",
+      "search_type": "Tipo de Busca",
+      "time_range": "Intervalo de Tempo",
+      "recognized_license_plate": "Placa de Carro Reconhecida",
+      "has_clip": "Possui Clipe",
+      "has_snapshot": "Possui Captura de Imagem"
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Descrição"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "A data 'antes' deve ser depois da data 'após'.",
+        "afterDatebeEarlierBefore": "A data 'após' deve ser antes da data 'antes'.",
+        "minScoreMustBeLessOrEqualMaxScore": "A 'pontuação_min' deve ser menor ou igual a 'pontuação_max'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "A 'pontuação_max' deve ser maior ou igual a 'pontuação_min'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "A 'velocidad_min' deve ser menor ou igual a 'velocidad_max'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "A 'velocidad_max' deve ser maior ou igual a 'velocidade_min'."
+      }
+    },
+    "tips": {
+      "title": "Como utilizar filtros de texto",
+      "desc": {
+        "text": "Filtros ajudam a refinar os resultados da busca. Veja como utilizá-los na campo de pesquisa:",
+        "step1": "Digite um nome de chave de filtro seguido por \":\" (ex., \"câmeras:\").",
+        "step2": "Selecione um valor a partir das sugestões ou digite a sua própria.",
+        "step3": "Usar filtros múltiplos adicionando um após o outro com um espaço entre eles.",
+        "step4": "Filtros de data (antes: e após:) usam o formato {{DateFormat}}.",
+        "step5": "Filtros de tempo usam o formato {{exampleTime}}.",
+        "step6": "Remova os filtros clicando no \"x\" ao lado deles.",
+        "exampleLabel": "Exemplo:"
+      }
+    },
+    "header": {
+      "noFilters": "Filtros",
+      "activeFilters": "Filtros ativos",
+      "currentFilterType": "Valores de Filtros"
+    }
+  },
+  "similaritySearch": {
+    "active": "Pesquisa por similaridade ativa",
+    "title": "Buscar por Similaridade",
+    "clear": "Limpar buscar por similaridade"
+  },
+  "placeholder": {
+    "search": "Pesquisar…"
+  }
+}
diff --git a/web/public/locales/pt-BR/views/settings.json b/web/public/locales/pt-BR/views/settings.json
new file mode 100644
index 000000000..c5e0af438
--- /dev/null
+++ b/web/public/locales/pt-BR/views/settings.json
@@ -0,0 +1,622 @@
+{
+  "documentTitle": {
+    "default": "Configurações - Frigate",
+    "authentication": "Configurações de Autenticação - Frigate",
+    "camera": "Configurações de Câmera - Frigate",
+    "enrichments": "Configurações de Enriquecimento - Frigate",
+    "masksAndZones": "Editor de Máscara e Zona - Frigate",
+    "motionTuner": "Ajuste de Movimento - Frigate",
+    "object": "Debug - Frigate",
+    "general": "Configurações Gerais - Frigate",
+    "frigatePlus": "Frigate+ Configurações- Frigate",
+    "notifications": "Configurações de notificação - Frigate"
+  },
+  "menu": {
+    "ui": "UI",
+    "cameras": "Configurações da câmera",
+    "masksAndZones": "Máscaras / Zonas",
+    "users": "Usuários",
+    "notifications": "Notificações",
+    "frigateplus": "Frigate+",
+    "motionTuner": "Ajuste de Movimento",
+    "debug": "Depurar",
+    "enrichments": "Melhorias"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Você tem alterações não salvas.",
+      "desc": "Você deseja salvar as alterações antes de continuar?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Câmera",
+    "noCamera": "Sem Câmera"
+  },
+  "general": {
+    "title": "Opções Gerais",
+    "liveDashboard": {
+      "title": "Painel em Tempo Real",
+      "automaticLiveView": {
+        "label": "Visão em Tempo Real Automática",
+        "desc": "Automaticamente alterar para a visão em tempo real da câmera quando alguma atividade for detectada. Desativar essa opção faz com que as imagens estáticas da câmera no Painel em Tempo Real atualizem apenas uma vez por minuto."
+      },
+      "playAlertVideos": {
+        "label": "Reproduzir Alertas de Video",
+        "desc": "Por padrão, alertas recentes no Painel em Tempo Real sejam reproduzidos como vídeos em loop. Desative essa opção para mostrar apenas a imagens estáticas de alertas recentes nesse dispositivo / navegador."
+      }
+    },
+    "storedLayouts": {
+      "title": "Layouts Salvos",
+      "desc": "O layout das câmeras em um grupo de câmeras pode ser arrastado/redimensionado. As posições são salvas no armazenamento local do seu navegador.",
+      "clearAll": "Apagar Todos os Layouts"
+    },
+    "cameraGroupStreaming": {
+      "title": "Opções de Streaming de Grupo de Câmeras",
+      "desc": "Os ajustes de streaming para cada grupo de câmera são salvos no armazenamento local do seu navegador.",
+      "clearAll": "Apagar Todos os Ajustes de Streaming"
+    },
+    "recordingsViewer": {
+      "title": "Visualizador de Gravações",
+      "defaultPlaybackRate": {
+        "label": "Taxa Padrão de Reprodução",
+        "desc": "Taxa Padrão de Reprodução para Gravações."
+      }
+    },
+    "calendar": {
+      "title": "Calendário",
+      "firstWeekday": {
+        "label": "Primeiro Dia da Semana",
+        "desc": "Dia em que as semanas no calendário de revisão iniciam.",
+        "sunday": "Domingo",
+        "monday": "Segunda-Feira"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Layout deletado para {{cameraName}}",
+        "clearStreamingSettings": "Ajustes de streaming para todos os grupos de câmera limpados."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Não foi possível apagar o layout:{{errorMessage}}",
+        "clearStreamingSettingsFailed": "Não foi possível apagar os ajustes de streaming:{{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "title": "Configurações de Enriquecimento",
+    "unsavedChanges": "Alterações de configurações de Enriquecimento não salvas",
+    "birdClassification": {
+      "title": "Classificação de Pássaros",
+      "desc": "A classificação de pássaros identifica pássaros conhecidos usando o modelo Tensorflow quantizado. Quando um pássaro é reconhecido, o seu nome commum será adicionado como uma subcategoria. Essa informação é incluida na UI, filtros e notificações."
+    },
+    "semanticSearch": {
+      "title": "Busca Semântica",
+      "desc": "A Busca Semântica no Frigate permite você encontrar objetos rastreados dentro dos seus itens revisados, usando ou a imagem em si, uma descrição de texto definida pelo usuário ou uma gerada automaticamente.",
+      "readTheDocumentation": "Leia a Documentação",
+      "reindexNow": {
+        "label": "Reindexar Agora",
+        "desc": "A reindexação irá regenerar os embeddings para todos os objetos rastreados. Esse processo roda em segundo plano e pode 100% da CPU e levar um tempo considerável dependendo do número de objetos rastreados que você possui.",
+        "confirmTitle": "Confirmar Reindexação",
+        "confirmDesc": "Tem certeza que quer reindexar todos os embeddings de objetos rastreados? Esse processo rodará em segundo plano porém utilizará 100% da CPU e levará uma quantidade de tempo considerável. Você pode acompanhar o progresso na página Explorar.",
+        "confirmButton": "Reindexar",
+        "success": "A reindexação iniciou com sucesso.",
+        "alreadyInProgress": "A reindexação já está em progresso.",
+        "error": "Falha ao iniciar a reindexação: {{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "Tamanho do Modelo",
+        "desc": "O tamanho do modelo usado para embeddings de pesquisa semântica.",
+        "small": {
+          "title": "pequeno",
+          "desc": "Usando<em>pequeno</em> emprega a versão quantizada do modelo que utiliza menos RAM e roda mais rápido na CPU, com diferenças negligíveis na qualidade dos embeddings."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> emprega o modelo Jina completo e roda na GPU automáticamente caso aplicável."
+        }
+      }
+    },
+    "faceRecognition": {
+      "title": "Reconhecimento Facial",
+      "desc": "O reconhecimento facial permite que pessoas sejam associadas a nomes e quando seus rostos forem reconhecidos, o Frigate associará o nome da pessoa como uma sub-categoria. Essa informação é inclusa na UI, filtros e notificações.",
+      "readTheDocumentation": "Leia a Documentação",
+      "modelSize": {
+        "label": "Tamanho do Modelo",
+        "desc": "O tamanho do modelo usado para reconhecimento facial.",
+        "small": {
+          "title": "pequeno",
+          "desc": "Usar <em>pequeno</em> emprega o modelo de embedding de rosto FaceNet, que roda de maneira eficiente na maioria das CPUs."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usando o <em>grande</em> emprega um modelo de embedding de rosto ArcFace e irá automáticamente roda pela GPU se aplicável."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Reconhecimento de Placa de Identificação",
+      "desc": "O Frigate pode reconhecer placas de identificação em veículos e automáticamente adicionar os caracteres detectados ao campo placas_de_identificação_reconhecidas ou um nome conhecido como uma sub-categoria a objetos que são do tipo carro. Um uso típico é ler a placa de carros entrando em uma garagem ou carros passando pela rua.",
+      "readTheDocumentation": "Leia a Documentação"
+    },
+    "restart_required": "Necessário reiniciar (configurações de enriquecimento foram alteradas)",
+    "toast": {
+      "success": "As regras de enriquecimento foram salvas. Reinicie o Frigate para aplicar as alterações.",
+      "error": "Falha ao salvar alterações de configurações: {{errorMessage}}"
+    }
+  },
+  "camera": {
+    "title": "Configurações de Câmera",
+    "streams": {
+      "title": "Transmissões",
+      "desc": "Temporáriamente desativar a câmera até o Frigate reiniciar. Desatiar a câmera completamente impede o processamento da transmissão dessa câmera pelo Frigate. Detecções, gravações e depuração estarão indisponíveis.<br /><em>Nota: Isso não desativa as retransmissões do go2rtc.</em>"
+    },
+    "review": {
+      "title": "Revisar",
+      "desc": "Temporariamente habilitar/desabilitar alertas e detecções para essa câmera até o Frigate reiniciar. Quando desabilitado, nenhum novo item de revisão será gerado. ",
+      "alerts": "Alertas ",
+      "detections": "Detecções "
+    },
+    "reviewClassification": {
+      "title": "Revisar Classificação",
+      "desc": "O Frigate categoriza itens de revisão como Alertas e Detecções. Por padrão, todas as <em>pessoa</em> e <em>carros</em> são considerados alertas. Você pode refinar a categorização dos seus itens revisados configurando as zonas requeridas para eles.",
+      "readTheDocumentation": "Leia a Documentação",
+      "noDefinedZones": "Nenhuma zona definida para essa câmera.",
+      "selectAlertsZones": "Selecionar as zonas para Alertas",
+      "selectDetectionsZones": "Selecionar as zonas para Detecções",
+      "objectAlertsTips": "Todos os {{alertsLabels}} objetos em {{cameraName}} serão exibidos como Alertas.",
+      "zoneObjectAlertsTips": "Todos os {{alertsLabels}} objetos detectados em {{zone}} em {{cameraName}} serão exibidos como Alertas.",
+      "objectDetectionsTips": "Todos os objetos {{detectionsLabels}} não categorizados em {{cameraName}} serão exibidos como Detecções independente de qual zona eles estiverem.",
+      "zoneObjectDetectionsTips": {
+        "text": "Todos os objetos de {{detectionsLabels}} não categorizados em {{zone}} em {{cameraName}} serão exibidos como Detecções.",
+        "notSelectDetections": "Todos os objetos {{detectionsLabels}} detectados em {{zone}} em {{cameraName}} não categorizados como Alertas serão exibidos como Detecções independente da zona em que estiverem.",
+        "regardlessOfZoneObjectDetectionsTips": "Todos os objetos {{detectionsLabels}} não categorizados em {{cameraName}} serão exibidos como Detecções independente de quais zonas estiverem."
+      },
+      "unsavedChanges": "Configurações de Classificação de Revisões Não Salvas para {{camera}}",
+      "limitDetections": "Limitar detecções a zonas específicas",
+      "toast": {
+        "success": "A configuração de Revisão de Classificação foi salva. Reinicie o Frigate para aplicar as mudanças."
+      }
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Todas as Máscaras e Zonas"
+    },
+    "restart_required": "Reinicialização requerida (máscaras/zonas foram alteradas)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coordenadas copiadas para {{polyName}} para a área de transferência."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Não foi possível copiar as coordenadas para a área de transferência."
+      }
+    },
+    "motionMaskLabel": "Máscara de Movimento {{number}}",
+    "objectMaskLabel": "Máscara de Objeto {{number}} ({{label}})",
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "O nome da zona deve conter ao menos 2 caracteres.",
+          "mustNotBeSameWithCamera": "O nome da zona não pode ser igual ao nome da câmera.",
+          "alreadyExists": "Uma zona com esse noma já existe para essa câmera.",
+          "mustNotContainPeriod": "O nome da zona não pode conter ponto final.",
+          "hasIllegalCharacter": "O nome da zona contém caracteres ilegais."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "A distância deve sair maior ou igual a 0.1.",
+          "mustBeFilled": "Todos os campos de distância devem ser preenchidos para utilizar a estimativa de velocidade."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "A inércia deve ser maior que 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "O tempo de permanência deve ser maior ou igual a zero."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "O limiar de velocidade deve ser maior ou igual a 0.1."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Remover o ultimo ponto",
+        "reset": {
+          "label": "Limpar todos os pontos"
+        },
+        "snapPoints": {
+          "true": "Pontos de encaixe",
+          "false": "Não encaixar os ponts"
+        },
+        "delete": {
+          "title": "Confirmar Deletar",
+          "desc": "Tem certeza que quer deletar o {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} foi deletado."
+        },
+        "error": {
+          "mustBeFinished": "O desenho do polígono deve ser finalizado antes de salvar."
+        }
+      }
+    },
+    "zones": {
+      "label": "Zonas",
+      "documentTitle": "Editar Zona - Frigate",
+      "desc": {
+        "title": "Zonas permitem que você defina uma área específica do quadro para que você possa determinar se um objeto está ou não em uma área em particular.",
+        "documentation": "Documentação"
+      },
+      "add": "Adicionar Zona",
+      "edit": "Editar Zona",
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem.",
+      "name": {
+        "title": "Nome",
+        "inputPlaceHolder": "Digite um nome…",
+        "tips": "O nome deve ter no mínimo 2 caracteres e não pode ter o nome de uma câmera ou outra zona."
+      },
+      "inertia": {
+        "title": "Inércia",
+        "desc": "Especifica por quantos quadros um objeto deve permanecer em uma zona para que seja considerado na zona. <em>Padrão: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Tempo de Permanência",
+        "desc": "Define o tempo mínimo em segundos que o objeto deve estar na zona para ser ativado. <em>Padrão: 0</em>"
+      },
+      "objects": {
+        "title": "Objetos",
+        "desc": "Lista de objetos que se aplicam a essa zona."
+      },
+      "allObjects": "Todos os Objetos",
+      "speedEstimation": {
+        "title": "Estimativa de Velocidade",
+        "desc": "Habilitar estimativa de velocidade para objetos nesta zona. A zona deve ter exatamente 4 pontos.",
+        "docs": "Leia a documentação",
+        "lineADistance": "Distância da linha A ({{unit}})",
+        "lineBDistance": "Distância da Linha B ({{unit}})",
+        "lineCDistance": "Distância da linha C ({{unit}})",
+        "lineDDistance": "Distância da linha D ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Limiar de Velocidade ({{unit}})",
+        "desc": "Especifique a velocidade mínima para o objeto ser considerado nessa zona.",
+        "toast": {
+          "error": {
+            "pointLengthError": "A estimativa de velocidade foi desativada para essa zona. Zonas com estimação de velocidade devem ter exatamente 4 pontos.",
+            "loiteringTimeError": "Zonas com tempo de permanência acima de 0 não devem ser usadas com estimativa de velocidade."
+          }
+        }
+      },
+      "toast": {
+        "success": "A zona ({{zoneName}}) foi salva. Reinicie o Frigate para aplicar as mudanças."
+      }
+    },
+    "objectMasks": {
+      "objects": {
+        "allObjectTypes": "Todos os tipos de objetos",
+        "title": "Objetos",
+        "desc": "O tipo de objeto que se aplica para essa máscara de objeto."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} foi salvo. Reinicie o Frigate para aplicar as alterações.",
+          "noName": "A máscara de objeto foi salva. Reinicie o Frigate para aplicar as alterações."
+        }
+      },
+      "label": "Máscaras de Objeto",
+      "documentTitle": "Editar Máscara de Objeto - Frigate",
+      "desc": {
+        "title": "Máscaras de filtro de objetos são usadas para filtrar falsos positivos para um determinado tipo de objeto baseado na localização.",
+        "documentation": "Documentação"
+      },
+      "add": "Adicionar Máscara de Objeto",
+      "edit": "Editar Máscara de Objeto",
+      "context": "Filtro de máscaras de objeto são usados para filtrar falsos positivos para um dado tipo de objeto baseado na localização.",
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem."
+    },
+    "motionMasks": {
+      "label": "Máscara de Movimento",
+      "documentTitle": "Editar Máscara de Movimento - Frigate",
+      "desc": {
+        "title": "Máscaras de movimento são usadas para prevenir tipos de movimento de ativarem uma detecção. Excesso de mascaramento tornará mais difícil que objetos sejam rastreados.",
+        "documentation": "Documentação"
+      },
+      "add": "Nova Máscara de Movimento",
+      "edit": "Editar Máscara de Movimento",
+      "context": {
+        "title": "Máscaras de movimento são usadas para prevenir typos de movimento não desejados de ativarem uma detecção (exemplo: galhos de árvores, timestamps de câmeras). Máscaras de movimento devem ser usadas com <em> muita parcimônia</em>, excesso de mascaramento tornará mais difícil de objetos serem rastreados.",
+        "documentation": "Leia a documentação"
+      },
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem.",
+      "polygonAreaTooLarge": {
+        "title": "A máscara de movimento está cobrindo {{polygonArea}}% do quadro da câmera. Máscaras de movimento grandes não são recomendadas.",
+        "tips": "Máscaras de movimento não previnem objetos de serem detectados. Em vez disso você deve usar uma zona obrigatória.",
+        "documentation": "Leia a documentação"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} foi salvo. Reinicie o Frigate para aplicar as alterações.",
+          "noName": "Máscara de Movimento salva. Reinicie o Frigate para aplicar as alterações."
+        }
+      }
+    }
+  },
+  "motionDetectionTuner": {
+    "desc": {
+      "title": "O Frigate usa a detecção de movimento como uma verificação de primeira linha para ver se há algo acontecendo no quadro que valha a pena verificar com a detecção de objetos.",
+      "documentation": "Leia o Guia de Ajuste de Movimento"
+    },
+    "Threshold": {
+      "title": "Limite",
+      "desc": "O valor do limiar dita o quanto de mudança na luminância de um pixel é requerida para ser considerada movimento. <em>Padrão: 30</em>"
+    },
+    "contourArea": {
+      "title": "Área de contorno",
+      "desc": "O valor do contorno da área é usado para decidir quais grupos de mudança de pixel se qualificam como movimento. <em>Padrão: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Melhorar o contraste",
+      "desc": "Melhorar contraste para cenas escuras. <em>Padrão: ON</em>"
+    },
+    "toast": {
+      "success": "As configurações de movimento foram salvas."
+    },
+    "title": "Ajuste de Detecção de Movimento",
+    "unsavedChanges": "Alterações do Ajuste de Movimento Não Salvas ({{camera}})"
+  },
+  "debug": {
+    "detectorDesc": "O Frigate usa seus detectores ({{detectors}}) para detectar objetos no fluxo de vídeo da sua câmera.",
+    "desc": "A visualização de depuração mostra uma visão em tempo real dos objetos rastreados e suas estatísticas. A lista de objetos mostra um resumo com atraso de tempo dos objetos detectados.",
+    "objectList": "Lista de Objetos",
+    "boundingBoxes": {
+      "desc": "Mostrar caixas delimitadoras ao redor de objetos rastreados",
+      "colors": {
+        "label": "Cores da caixa delimitadora de objetos",
+        "info": "<li>Na inicialização, cores diferentes serão atribuídas a cada rótulo de objeto</li><li>Uma linha fina azul escura indica que o objeto não foi detectado neste momento</li><li>Uma linha fina cinza indica que o objeto foi detectado como estacionário</li><li>Uma linha grossa indica que o objeto está sujeito ao rastreamento automático (quando ativado)</li>"
+      },
+      "title": "Caixas delimitadoras"
+    },
+    "zones": {
+      "title": "Zonas",
+      "desc": "Mostrar um esboço de quaisquer zonas definidas"
+    },
+    "mask": {
+      "title": "Máscaras de movimento",
+      "desc": "Mostrar polígonos de máscara de movimento"
+    },
+    "motion": {
+      "title": "Caixas de movimento",
+      "desc": "Mostrar caixas ao redor das áreas onde o movimento é detectado",
+      "tips": "<p><strong>Caixas de movimento</strong></p><br><p>Caixas vermelhas serão sobrepostas em áreas do quadro onde o movimento está sendo detectado</p>"
+    },
+    "regions": {
+      "title": "Regiões",
+      "desc": "Mostrar uma caixa da região de interesse enviada ao detector de objetos",
+      "tips": "<p><strong>Caixas de Região</strong></p><br><p>Caixas verdes claras serão sobrepostas em áreas de interesse no quadro que está sendo enviado ao detector de objetos.</p>"
+    },
+    "title": "Depuração",
+    "debugging": "Depuração",
+    "objectShapeFilterDrawing": {
+      "desc": "Desenhe um retângulo na imagem para ver os detalhes da área e proporções",
+      "tips": "Habilite essa opção para desenhar um retângulo na imagem da camera para mostrar a sua área e proporção. Esses valores podem ser usados para estabelecer parâmetros de filtro de formato de objetos na sua configuração.",
+      "document": "Leia a documentação ",
+      "score": "Pontuação",
+      "ratio": "Proporção",
+      "area": "Área",
+      "title": "Desenho de Filtro de Formato de Objeto"
+    },
+    "noObjects": "Nenhum Objeto",
+    "timestamp": {
+      "title": "Timestamp",
+      "desc": "Sobreponha um timestamp na imagem"
+    }
+  },
+  "users": {
+    "title": "Usuários",
+    "management": {
+      "title": "Gerenciamento de Usuário",
+      "desc": "Gerencias as contas de usuário dessa instância do Frigate."
+    },
+    "addUser": "Adicionar Usuário",
+    "updatePassword": "Atualizar Senha",
+    "toast": {
+      "success": {
+        "createUser": "Usuário {{user}} criado com sucesso",
+        "deleteUser": "Usuário {{user}} deletado com sucesso",
+        "updatePassword": "Senha atualizada com sucesso.",
+        "roleUpdated": "Papel atualizado para {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Falha ao salvar a senha: {{errorMessage}}",
+        "createUserFailed": "Falha ao criar usuário: {{errorMessage}}",
+        "deleteUserFailed": "Falha ao deletar usuário: {{errorMessage}}",
+        "roleUpdateFailed": "Falha ao atualizar papel: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "form": {
+        "password": {
+          "match": "As senhas correspondem",
+          "notMatch": "As senhas são diferentes",
+          "title": "Senha",
+          "placeholder": "Digita a senha",
+          "confirm": {
+            "title": "Confirmar Senha",
+            "placeholder": "Confirmar Senha"
+          },
+          "strength": {
+            "title": "Nível de segurança da senha: ",
+            "weak": "Fraca",
+            "medium": "Mediana",
+            "strong": "Forte",
+            "veryStrong": "Muito Forte"
+          }
+        },
+        "newPassword": {
+          "title": "Senha Nova",
+          "placeholder": "Digite uma senha nova",
+          "confirm": {
+            "placeholder": "Digite a senha novamente"
+          }
+        },
+        "usernameIsRequired": "Nome de usuário requerido",
+        "passwordIsRequired": "Senha requerida",
+        "user": {
+          "title": "Nome de Usuário",
+          "desc": "Apenas letras, números, pontos e sublinhados são permitidos.",
+          "placeholder": "Digite o nome de usuário"
+        }
+      },
+      "createUser": {
+        "title": "Criar Novo Usuário",
+        "desc": "Adicionar um novo usuário e especificar um papel para acesso às áreas da interface do Frigate.",
+        "usernameOnlyInclude": "O nome de usuário pode conter apenas letras, números, . ou _",
+        "confirmPassword": "Por favor confirme a sua senha"
+      },
+      "deleteUser": {
+        "title": "Deletar Usuário",
+        "desc": "Essa ação não pode ser desfeita. Isso irá deletar permanentemente a conta do usuário e remover todos os dados associados.",
+        "warn": "Tem certeza que quer deletar <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "A senha não pode estar vazia",
+        "doNotMatch": "As senhas não correspondem",
+        "updatePassword": "Atualizar Senha para {{username}}",
+        "setPassword": "Definir Senha",
+        "desc": "Crie uma senha forte para proteger essa conta."
+      },
+      "changeRole": {
+        "title": "Alterar Papel do Usuário",
+        "select": "Selecionar um papel",
+        "desc": "Atualizar permissões para <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Selecione o papel apropriado para esse usuário:",
+          "admin": "Administrador",
+          "adminDesc": "Acesso total a todos os recursos.",
+          "viewer": "Espectador",
+          "viewerDesc": "Limitado aos Painéis ao Vivo, Revisar, Explorar, e Exportar somente."
+        }
+      }
+    },
+    "table": {
+      "username": "Nome de Usuário",
+      "actions": "Ações",
+      "role": "Papel",
+      "noUsers": "Nenhum usuário encontrado.",
+      "changeRole": "Mudar papel do usuário",
+      "password": "Senha",
+      "deleteUser": "Deletar usuário"
+    }
+  },
+  "notification": {
+    "suspendTime": {
+      "10minutes": "Suspender por 10 minutos",
+      "30minutes": "Suspender por 30 minutos",
+      "1hour": "Suspender por 1 hora",
+      "12hours": "Suspender por 12 horas",
+      "24hours": "Suspender por 24 horas",
+      "untilRestart": "Suspender até reiniciar",
+      "suspend": "Suspender",
+      "5minutes": "Suspender por 5 minutos"
+    },
+    "cancelSuspension": "Cancelar Suspensão",
+    "toast": {
+      "success": {
+        "registered": "Registrados para notificações com sucesso. É necessário reiniciar o Frigate para que as notificações possam ser enviadas (incluindo a notificação de teste).",
+        "settingSaved": "As configurações de notificações foram salvas."
+      },
+      "error": {
+        "registerFailed": "Falha ao salvar o registro para notificações."
+      }
+    },
+    "title": "Notificações",
+    "notificationSettings": {
+      "title": "Configurações de Notificação",
+      "desc": "O Frigate pode enviar notificações push nativamente ao seu dispositivo quando estiver sendo executado no navegador ou instalado como um PWA.",
+      "documentation": "Leia a Documentação"
+    },
+    "notificationUnavailable": {
+      "title": "Notificações Indisponíveis",
+      "desc": "Notificações push da Web exigem um contexto seguro (<code>https://…</code>). Essa é uma limitação do navegador. Acesse o Frigate com seguraça para usar as notificações.",
+      "documentation": "Leia a Documentação"
+    },
+    "globalSettings": {
+      "title": "Configurações Globais",
+      "desc": "Suspender as notificações temporáriamente para câmeras específicas em todos os dispositivos registrados."
+    },
+    "email": {
+      "title": "Email",
+      "placeholder": "ex: exemplo@email.com",
+      "desc": "Um email válido é requerido e será usado para notificar você caso haja algum problema com o serviço push."
+    },
+    "cameras": {
+      "title": "Câmeras",
+      "noCameras": "Nenhuma câmera disponível",
+      "desc": "Selecionar para quais câmeras habilitar as notificações."
+    },
+    "deviceSpecific": "Configurações Específicas do Dispositivo",
+    "registerDevice": "Registre Esse Dispositivo",
+    "unregisterDevice": "Cancelar Registro Desse Dispositivo",
+    "sendTestNotification": "Enviar uma notificação de teste",
+    "unsavedRegistrations": "Registros de Notificações Não Salvos",
+    "unsavedChanges": "Alterações de Notificações Não Salvas",
+    "active": "Notificações Ativas",
+    "suspended": "Notificações suspensas {{time}}"
+  },
+  "frigatePlus": {
+    "title": "Configurações do Frigate+",
+    "apiKey": {
+      "title": "Chave de API do Frigate+",
+      "validated": "A chave de API do Frigate+ detectada e validada",
+      "notValidated": "A chave de API do Frigate+ não detectada ou não validada",
+      "desc": "A chave de API do Frigate+ habilita a integração com o serviço do Frigate+.",
+      "plusLink": "Leia mais sobre o Frigate+"
+    },
+    "modelInfo": {
+      "plusModelType": {
+        "baseModel": "Modelo Base",
+        "userModel": "Ajuste Refinado"
+      },
+      "supportedDetectors": "Detectores Suportados",
+      "cameras": "Câmeras",
+      "loading": "Carregando informações do modelo…",
+      "error": "Falha ao carregar as informações do modelo",
+      "availableModels": "Modelos Disponíveis",
+      "loadingAvailableModels": "Carregando modelos disponíveis…",
+      "title": "Informação do Modelo",
+      "modelType": "Tipo de Modelo",
+      "trainDate": "Data do Treinamento",
+      "baseModel": "Modelo Base",
+      "modelSelect": "Os seus modelos disponíveis no Frigate+ podem ser selecionados aqui. Note que apenas modelos compatíveis com a sua configuração atual de detector podem ser selecionados."
+    },
+    "snapshotConfig": {
+      "title": "Configuração de Captura de Imagem",
+      "desc": "Enviar ao Frigate+ requer tanto a captura de imagem quanto a captura de imagem <code>clean_copy</code> estarem habilitadas na sua configuração.",
+      "documentation": "Leia a documentação",
+      "cleanCopyWarning": "Algumas câmeras possuem captura de imagem habilitada porém têm a cópia limpa desabilitada. Você precisa habilitar a <code>clean_copy</code> nas suas configurações de captura de imagem para poder submeter imagems dessa câmera ao Frigate+.",
+      "table": {
+        "camera": "Câmera",
+        "snapshots": "Capturas de Imagem",
+        "cleanCopySnapshots": "Capturas de Imagem <code>clean_copy</code>"
+      }
+    },
+    "unsavedChanges": "Alterações de configurações do Frigate+ não salvas",
+    "restart_required": "Reinicialização necessária (modelo do Frigate+ foi alterado)",
+    "toast": {
+      "success": "As configurações do Frigate+ foram salvas. Reinicie o Frigate para aplicar as alterações.",
+      "error": "Falha ao salvar as alterações de configuração: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/pt-BR/views/system.json b/web/public/locales/pt-BR/views/system.json
new file mode 100644
index 000000000..74a2c4564
--- /dev/null
+++ b/web/public/locales/pt-BR/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Estatísticas das Câmeras - Frigate",
+    "storage": "Status de Armazenamento - Frigate",
+    "general": "Estatísticas Gerais - Frigate",
+    "enrichments": "Estatísticas de Enriquecimento - Frigate",
+    "logs": {
+      "frigate": "Registros Frigate - Frigate",
+      "go2rtc": "Registros GoRTC - Frigate",
+      "nginx": "Registros Nginx - Frigate"
+    }
+  },
+  "title": "Sistema",
+  "metrics": "Métricas do sistema",
+  "logs": {
+    "download": {
+      "label": "Baixar registros"
+    },
+    "copy": {
+      "label": "Copiar para a área de transferência",
+      "success": "Registros copiados para a área de transferência",
+      "error": "Não foi possível copiar os registros para a área de transferência"
+    },
+    "type": {
+      "label": "Tipo",
+      "timestamp": "Marca temporal",
+      "tag": "Marcador",
+      "message": "Mensagem"
+    },
+    "tips": "Os Registros estão sendo transmitidos do servidor",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Erro ao buscar registros: {{errorMessage}}",
+        "whileStreamingLogs": "Erro ao transmitir registros: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "Geral",
+    "detector": {
+      "title": "Detectores",
+      "inferenceSpeed": "Velocidade de Inferência do Detector",
+      "temperature": "Detector Temperatura",
+      "cpuUsage": "Utilização de CPU de Detecção",
+      "memoryUsage": "Utilização de Memória do Detector"
+    },
+    "hardwareInfo": {
+      "title": "Informações de Hardware",
+      "gpuUsage": "Utilização de GPU",
+      "gpuMemory": "Memória da GPU",
+      "gpuEncoder": "Codificador da GPU",
+      "gpuDecoder": "Decodificador da GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Saída do Vainfo",
+          "returnCode": "Código de Retorno: {{code}}",
+          "processOutput": "Saída do Processo:",
+          "processError": "Erro de Processo:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Saída SMI da Nvidia",
+          "name": "Nome: {{name}}",
+          "driver": "Motorista: {{driver}}",
+          "cudaComputerCapability": "Capacidade de Computação CUDA: {{cuda_compute}}",
+          "vbios": "Informação de VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Fechar informações da GPU"
+        },
+        "copyInfo": {
+          "label": "Copiar informações da GPU"
+        },
+        "toast": {
+          "success": "Informações da GPU copiadas para a área de transferência"
+        }
+      },
+      "npuUsage": "Uso da NPU",
+      "npuMemory": "Memória da NPU"
+    },
+    "otherProcesses": {
+      "title": "Outros processos",
+      "processCpuUsage": "Uso de Processamento da CPU",
+      "processMemoryUsage": "Uso de Memória de Processos"
+    }
+  },
+  "storage": {
+    "title": "Armazenamento",
+    "overview": "Visão Geral",
+    "recordings": {
+      "title": "Gravações",
+      "earliestRecording": "Gravação mais recente disponível:",
+      "tips": "Esse valor representa o armazenamento total usado pelas gravações no banco de dados do Frigate. O Frigate não rastreia o uso de armazenamento para todos os arquivos do seu disco."
+    },
+    "cameraStorage": {
+      "title": "Armazenamento da Câmera",
+      "camera": "Câmera",
+      "unusedStorageInformation": "Informação de Armazenamento Não Utilizado",
+      "storageUsed": "Armazenamento",
+      "percentageOfTotalUsed": "Porcentagem do Total",
+      "bandwidth": "Largura de Banda",
+      "unused": {
+        "title": "Não Utilizado",
+        "tips": "Esse valor por não representar com precisão o espaço livre disponí®el para o Frigate se você possui outros arquivos armazenados no seu drive além das gravações do Frigate. O Frigate não rastreia a utilização do armazenamento além de suas próprias gravações."
+      }
+    }
+  },
+  "cameras": {
+    "title": "Câmeras",
+    "overview": "Visão Geral",
+    "info": {
+      "aspectRatio": "proporção",
+      "cameraProbeInfo": "{{camera}} Informação de Probe da Câmera",
+      "streamDataFromFFPROBE": "Os dados da tranmissão são obtidos com o <code>ffprobe</code>.",
+      "fetching": "Buscando Dados da Câmera",
+      "stream": "Transmissão {{idx}}",
+      "video": "Vídeo:",
+      "codec": "Codec:",
+      "resolution": "Resolução:",
+      "fps": "FPS:",
+      "unknown": "Desconhecido",
+      "audio": "Áudio:",
+      "error": "Erro: {{error}}",
+      "tips": {
+        "title": "Informação de Probe de Câmera"
+      }
+    },
+    "framesAndDetections": "Quadros / Detecções",
+    "label": {
+      "camera": "câmera",
+      "detect": "detectar",
+      "skipped": "ignoradas",
+      "ffmpeg": "FFmpeg",
+      "capture": "captura",
+      "overallFramesPerSecond": "quadros por segundo em geral",
+      "overallDetectionsPerSecond": "detecções por segundo em geral",
+      "overallSkippedDetectionsPerSecond": "detecções puladas por segundo em geral",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} captura",
+      "cameraDetect": "{{camName}} detectar",
+      "cameraFramesPerSecond": "{{camName}} quadros por segundo",
+      "cameraDetectionsPerSecond": "{{camName}} detecções por segundo",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} detecções puladas por segundo"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Dados do probe copiados para a área de transferência."
+      },
+      "error": {
+        "unableToProbeCamera": "Não foi possível fazer o probe da câmera: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Atualizado pela última vez: ",
+  "stats": {
+    "detectIsVerySlow": "{{detect}} está muito lento ({{speed}} ms)",
+    "ffmpegHighCpuUsage": "{{camera}} possui alta utilização de CPU para FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} possui alta utilização de CPU para detecção ({{detectAvg}}%)",
+    "healthy": "O sistema está saudável",
+    "cameraIsOffline": "{{camera}} está offline",
+    "reindexingEmbeddings": "Reindexando os vetores de característica de imagens ({{processed}}% completado)",
+    "detectIsSlow": "{{detect}} está lento ({{speed}} ms)"
+  },
+  "enrichments": {
+    "title": "Enriquecimentos",
+    "infPerSecond": "Inferências por Segundo",
+    "embeddings": {
+      "face_recognition": "Reconhecimento Facial",
+      "plate_recognition": "Reconhecimento de Placa",
+      "plate_recognition_speed": "Velocidade de Reconhecimento de Placas",
+      "text_embedding_speed": "Velocidade de Geração de Vetores de Texto",
+      "yolov9_plate_detection_speed": "Velocidade de Reconhecimento de Placas do YOLOv9",
+      "yolov9_plate_detection": "Detecção de Placas do YOLOv9",
+      "image_embedding": "Vetores de Características de Imagens",
+      "text_embedding": "Vetor de Característica de Texto",
+      "image_embedding_speed": "Velocidade de Geração de Vetores de Imagem",
+      "face_embedding_speed": "Velocidade de Geração de Vetores de Rostos",
+      "face_recognition_speed": "Velocidade de Reconhecimento de Rostos"
+    }
+  }
+}
diff --git a/web/public/locales/pt/audio.json b/web/public/locales/pt/audio.json
new file mode 100644
index 000000000..36b414716
--- /dev/null
+++ b/web/public/locales/pt/audio.json
@@ -0,0 +1,429 @@
+{
+  "babbling": "Balbuciar",
+  "speech": "Discurso",
+  "whoop": "Grito de Alegria",
+  "bellow": "Abaixo",
+  "yell": "Gritar",
+  "whispering": "Sussurrar",
+  "child_singing": "Criança a Cantar",
+  "crying": "Choro",
+  "singing": "Canto",
+  "laughter": "Rir",
+  "breathing": "Respirar",
+  "applause": "Aplausos",
+  "meow": "Miau",
+  "run": "Correr",
+  "sheep": "Ovelha",
+  "motorcycle": "Motociclo",
+  "car": "Carro",
+  "cat": "Gato",
+  "horse": "Cavalo",
+  "bus": "Autocarro",
+  "boat": "Barco",
+  "bicycle": "Bicicleta",
+  "skateboard": "Skate",
+  "door": "Porta",
+  "bird": "Pássaro",
+  "train": "Comboio",
+  "dog": "Cão",
+  "mantra": "Mantra",
+  "humming": "Cantarolar",
+  "sigh": "Suspiro",
+  "grunt": "Grunhido",
+  "whistling": "Assobiar",
+  "wheeze": "Chiadeira",
+  "gasp": "Ofegar",
+  "cough": "Tosse",
+  "sneeze": "Espirro",
+  "footsteps": "Passos",
+  "chewing": "Mastigar",
+  "biting": "Morder",
+  "gargling": "Gargarejar",
+  "stomach_rumble": "Ronco de Estômago",
+  "burping": "Arroto",
+  "hiccup": "Solavanco",
+  "fart": "Pum",
+  "hands": "Mãos",
+  "finger_snapping": "Estalar os Dedos",
+  "clapping": "Palmas",
+  "heartbeat": "Batimento Cardíaco",
+  "heart_murmur": "Sopro Cardíaco",
+  "cheering": "Aplausos Entusiásticos",
+  "chatter": "Conversar",
+  "crowd": "Multidão",
+  "snoring": "Ressonar",
+  "choir": "Coro",
+  "yodeling": "Iodel",
+  "chant": "Cântico",
+  "synthetic_singing": "Canto Sintético",
+  "rapping": "Rap",
+  "groan": "Gemido",
+  "snicker": "Risinho",
+  "animal": "Animal",
+  "pets": "Animais de Estimação",
+  "bark": "Latido",
+  "howl": "Uivar",
+  "bow_wow": "Au-Au",
+  "growling": "Rosnar",
+  "whimper_dog": "Choro de Cão",
+  "pig": "Porco",
+  "goat": "Cabra",
+  "fowl": "Aves de Capoeira",
+  "chicken": "Galinha",
+  "turkey": "Peru",
+  "duck": "Pato",
+  "quack": "Quá-Quá",
+  "goose": "Ganso",
+  "wild_animals": "Animais Selvagens",
+  "pigeon": "Pombo",
+  "dogs": "Cães",
+  "insect": "Inseto",
+  "cricket": "Grilo",
+  "mosquito": "Mosquito",
+  "fly": "Mosca",
+  "frog": "Rã",
+  "snake": "Cobra",
+  "rattle": "Chocalhar",
+  "music": "Música",
+  "musical_instrument": "Instrumento Musical",
+  "banjo": "Banjo",
+  "keyboard": "Teclado",
+  "piano": "Piano",
+  "organ": "Órgão",
+  "synthesizer": "Sintetizador",
+  "tambourine": "Pandeireta",
+  "clarinet": "Clarinete",
+  "harp": "Harpa",
+  "psychedelic_rock": "Rock Psicadélico",
+  "waterfall": "Cascata",
+  "ocean": "Oceano",
+  "fire": "Fogo",
+  "ship": "Navio",
+  "car_alarm": "Alarme de Carro",
+  "race_car": "Carro de Corridas",
+  "truck": "Camião",
+  "ice_cream_truck": "Carrinha de Gelados",
+  "emergency_vehicle": "Veículo de Emergência",
+  "police_car": "Carro da Polícia",
+  "ambulance": "Ambulância",
+  "helicopter": "Helicóptero",
+  "engine": "Motor",
+  "coin": "Moeda",
+  "scissors": "Tesoura",
+  "electric_shaver": "Barbeador Elétrico",
+  "computer_keyboard": "Teclado de Computador",
+  "alarm": "Alarme",
+  "telephone": "Telefone",
+  "siren": "Sirene",
+  "smoke_detector": "Detetor de Fumo",
+  "fire_alarm": "Alarme de Incêndio",
+  "whistle": "Assobio",
+  "clock": "Relógio",
+  "tools": "Ferramentas",
+  "camera": "Câmara",
+  "chink": "Estilhaçar",
+  "sound_effect": "Efeito Sonoro",
+  "static": "Estática",
+  "pink_noise": "Ruído Rosa",
+  "television": "Televisão",
+  "scream": "Grito Agudo",
+  "glass": "Vidro",
+  "wood": "Madeira",
+  "crack": "Rachar",
+  "silence": "Silêncio",
+  "steam": "Vapor",
+  "progressive_rock": "Rock Progressivo",
+  "white_noise": "Ruído Branco",
+  "maraca": "Maraca",
+  "percussion": "Percussão",
+  "rats": "Ratos",
+  "oink": "Oinc",
+  "waves": "Ondas",
+  "shatter": "Quebrar",
+  "radio": "Rádio",
+  "splinter": "Lasca",
+  "owl": "Coruja",
+  "mouse": "Rato",
+  "vehicle": "Veículo",
+  "hair_dryer": "Secador de cabelo",
+  "toothbrush": "Escova de dentes",
+  "sink": "Pia",
+  "blender": "Liquidificador",
+  "pant": "Ofegar",
+  "snort": "Espirrar pelo Nariz",
+  "throat_clearing": "Limpar a Garganta",
+  "sniff": "Cheirar",
+  "shuffle": "Embaralhar",
+  "children_playing": "Crianças a Brincar",
+  "purr": "Ronronar",
+  "livestock": "Gado",
+  "cattle": "Gado Bovino",
+  "cock_a_doodle_doo": "Cucurucu",
+  "coo": "Arrulhar",
+  "flapping_wings": "Bater de Asas",
+  "crow": "Corvo",
+  "hoot": "Piar",
+  "mandolin": "Mandolim",
+  "whale_vocalization": "Vocalização de Baleia",
+  "sitar": "Sitar",
+  "plucked_string_instrument": "Instrumento de Cordas Dedilhado",
+  "croak": "Coaxar",
+  "guitar": "Guitarra",
+  "electric_guitar": "Guitarra Elétrica",
+  "bass_guitar": "Baixo Elétrico",
+  "acoustic_guitar": "Guitarra Acústica",
+  "ukulele": "Ukulele",
+  "tapping": "Tocar com os Dedos",
+  "strum": "Dedilhar",
+  "drum_kit": "Bateria (Kit)",
+  "gong": "Gongo",
+  "orchestra": "Orquestra",
+  "flute": "Flauta",
+  "saxophone": "Saxofone",
+  "harmonica": "Harmónica",
+  "wind_instrument": "Instrumento de Sopro",
+  "trumpet": "Trompete",
+  "violin": "Violino",
+  "cello": "Violoncelo",
+  "double_bass": "Contrabaixo",
+  "church_bell": "Sino de Igreja",
+  "bicycle_bell": "Sino de Bicicleta",
+  "bagpipes": "Gaita de Foles",
+  "cowbell": "Sino de Vaca",
+  "hiss": "Sibilar",
+  "caterwaul": "Miado Forte",
+  "clip_clop": "Cavalgar",
+  "neigh": "Relincho",
+  "moo": "Mugido",
+  "gobble": "Gluglu (Peru)",
+  "cluck": "Cacarejar",
+  "caw": "Grasnido",
+  "chirp": "Piar (Passarinho)",
+  "yip": "Latido Agudo",
+  "bleat": "Balar",
+  "honk": "Buzina",
+  "roaring_cats": "Gatos a Ruge",
+  "roar": "Rugido",
+  "squawk": "Chilrear Estridente",
+  "patter": "Tamborilar",
+  "buzz": "Zumbido",
+  "steel_guitar": "Guitarra Steel",
+  "zither": "Cítara",
+  "electric_piano": "Piano Elétrico",
+  "electronic_organ": "Órgão Eletrónico",
+  "hammond_organ": "Órgão Hammond",
+  "sampler": "Sampler",
+  "harpsichord": "Cravo (Instrumento)",
+  "drum_machine": "Máquina de Ritmos",
+  "drum": "Tambor",
+  "snare_drum": "Tarola",
+  "rimshot": "Tocada de Caixa (Rimshot)",
+  "drum_roll": "Rufar de Tambor",
+  "bass_drum": "Bombo",
+  "timpani": "Tímpano",
+  "tabla": "Tabla",
+  "cymbal": "Prato de Bateria",
+  "hi_hat": "Prato Hi-Hat",
+  "wood_block": "Bloco de Madeira",
+  "tubular_bells": "Sinos Tubulares",
+  "mallet_percussion": "Percussão com Baquetas",
+  "glockenspiel": "Glockenspiel",
+  "electronic_dance_music": "Música de Dança Eletrónica",
+  "ambient_music": "Música Ambiente",
+  "trance_music": "Música Trance",
+  "music_of_latin_america": "Música da América Latina",
+  "salsa_music": "Música Salsa",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "music_for_children": "Música para Crianças",
+  "new-age_music": "Música New Age",
+  "vocal_music": "Música Vocal",
+  "a_capella": "A Capella",
+  "music_of_africa": "Música de África",
+  "lullaby": "Canção de Embalar",
+  "video_game_music": "Música de Videogame",
+  "christmas_music": "Música de Natal",
+  "dance_music": "Música de Dança",
+  "wedding_music": "Música de Casamento",
+  "happy_music": "Música Alegre",
+  "sad_music": "Música Triste",
+  "tender_music": "Música Suave",
+  "exciting_music": "Música Excitante",
+  "scary_music": "Música Assustadora",
+  "wind": "Vento",
+  "rustling_leaves": "Folhas a Mexer",
+  "wind_noise": "Ruído do Vento",
+  "thunderstorm": "Trovoada",
+  "thunder": "Trovão",
+  "water": "Água",
+  "rain": "Chuva",
+  "raindrop": "Gota de Chuva",
+  "rain_on_surface": "Chuva a Cair na Superfície",
+  "stream": "Torrente",
+  "gurgling": "Gorgolejar",
+  "train_whistle": "Apito de Comboio",
+  "train_horn": "Buzina de Comboio",
+  "railroad_car": "Carruagem Ferroviária",
+  "train_wheels_squealing": "Rodas de Comboio a Ranger",
+  "subway": "Metro",
+  "aircraft": "Aeronave",
+  "aircraft_engine": "Motor de Aeronave",
+  "jet_engine": "Motor a Jato",
+  "propeller": "Hélice",
+  "jackhammer": "Britadeira",
+  "sawing": "Serrar",
+  "filing": "Lixar",
+  "power_tool": "Ferramenta Elétrica",
+  "sanding": "Lixar Madeira",
+  "drill": "Berbequim",
+  "explosion": "Explosão",
+  "gunshot": "Disparo de Arma",
+  "machine_gun": "Metralhadora",
+  "fusillade": "Rajada de Disparos",
+  "artillery_fire": "Fogo de Artilharia",
+  "cap_gun": "Pistola de Brincar",
+  "fireworks": "Fogo de Artifício",
+  "firecracker": "Bombinha",
+  "burst": "Ruptura",
+  "typing": "Digitar",
+  "angry_music": "Música Zangada",
+  "typewriter": "Máquina de Escrever",
+  "marimba": "Marimba",
+  "vibraphone": "Vibrafone",
+  "steelpan": "Tambor de aço",
+  "brass_instrument": "Instrumento de Metal",
+  "french_horn": "Trompa",
+  "trombone": "Trombone",
+  "heavy_metal": "Heavy Metal",
+  "bowed_string_instrument": "Instrumento de Cordas com Arco",
+  "string_section": "Secção de Cordas",
+  "bell": "Sino",
+  "jingle_bell": "Sino de Natal",
+  "tuning_fork": "Diapasão",
+  "wind_chime": "Sino de Vento",
+  "pizzicato": "Pizzicato",
+  "chime": "Carrilhão",
+  "accordion": "Acordeão",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Tigela Sonora",
+  "scratching": "Raspar",
+  "hip_hop_music": "Música Hip-Hop",
+  "beatboxing": "Beatbox",
+  "rock_music": "Música Rock",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "rock_and_roll": "Rock and Roll",
+  "rhythm_and_blues": "Rhythm and Blues",
+  "pop_music": "Música Pop",
+  "soul_music": "Música Soul",
+  "reggae": "Reggae",
+  "country": "Country",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Música Folclórica",
+  "swing_music": "Música Swing",
+  "middle_eastern_music": "Música do Médio Oriente",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Música Clássica",
+  "opera": "Ópera",
+  "electronic_music": "Música Eletrónica",
+  "house_music": "Música House",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Eletrónica",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Música Cristã",
+  "gospel_music": "Música Gospel",
+  "music_of_asia": "Música da Ásia",
+  "carnatic_music": "Música Carnática",
+  "music_of_bollywood": "Música de Bollywood",
+  "ska": "Ska",
+  "traditional_music": "Música Tradicional",
+  "independent_music": "Música Independente",
+  "song": "Canção",
+  "background_music": "Música de Fundo",
+  "theme_music": "Música de Tema",
+  "jingle": "Tilintar",
+  "soundtrack_music": "Música de Banda Sonora",
+  "air_brake": "Travão de Ar",
+  "air_horn": "Buzina de Ar",
+  "reversing_beeps": "Bip de Marcha-Atrás",
+  "crackle": "Estalidos",
+  "traffic_noise": "Ruído de Trânsito",
+  "power_windows": "Janelas Elétricas",
+  "skidding": "Derrapar",
+  "tire_squeal": "Guinada de Pneus",
+  "car_passing_by": "Carro a Passar",
+  "sailboat": "Veleiro",
+  "rowboat": "Barco a Remos",
+  "motorboat": "Barco a Motor",
+  "motor_vehicle": "Veículo Motorizado",
+  "fire_engine": "Carro dos Bombeiros",
+  "toot": "Buzina Curta",
+  "rail_transport": "Transporte Ferroviário",
+  "accelerating": "Aceleração",
+  "dental_drill's_drill": "Broca Dentária",
+  "lawn_mower": "Corta-relva",
+  "chainsaw": "Motosserra",
+  "medium_engine": "Motor Médio",
+  "engine_knocking": "Batidas do Motor",
+  "engine_starting": "Partida de Motor",
+  "idling": "Ao Ralenti",
+  "slam": "Bater Forte",
+  "light_engine": "Motor Leve",
+  "sliding_door": "Porta de Correr",
+  "knock": "Tocar à Porta",
+  "fixed-wing_aircraft": "Aeronave de Asa Fixa",
+  "doorbell": "Campainha de Porta",
+  "ding-dong": "Ding-Dong",
+  "heavy_engine": "Motor Pesado",
+  "squeak": "Ranger",
+  "cupboard_open_or_close": "Armário a Abrir ou Fechar",
+  "drawer_open_or_close": "Gaveta a Abrir ou Fechar",
+  "tap": "Toque",
+  "dishes": "Pratos",
+  "cutlery": "Talheres",
+  "chopping": "Cortar",
+  "frying": "Fritar",
+  "microwave_oven": "Forno Micro-ondas",
+  "water_tap": "Torneira",
+  "bathtub": "Banheira",
+  "keys_jangling": "Chaves a Tilintar",
+  "vacuum_cleaner": "Aspirador",
+  "zipper": "Fecho Éclair",
+  "shuffling_cards": "Embaralhar Cartas",
+  "toilet_flush": "Descarga de Sanita",
+  "electric_toothbrush": "Escova de Dentes Elétrica",
+  "writing": "Escrever",
+  "telephone_bell_ringing": "Campainha de Telefone",
+  "ringtone": "Toque de Telemóvel",
+  "telephone_dialing": "Discar Telefone",
+  "dial_tone": "Tom de Marcações",
+  "busy_signal": "Sinal de Ocupado",
+  "steam_whistle": "Apito a Vapor",
+  "mechanisms": "Mecanismos",
+  "ratchet": "Catraca",
+  "civil_defense_siren": "Sirene de Defesa Civil",
+  "buzzer": "Campainha",
+  "foghorn": "Buzina de Nevoeiro",
+  "alarm_clock": "Despertador",
+  "gears": "Engrenagens",
+  "pulleys": "Polias",
+  "sewing_machine": "Máquina de Costura",
+  "mechanical_fan": "Ventoinha Mecânica",
+  "air_conditioning": "Ar Condicionado",
+  "cash_register": "Caixa Registadora",
+  "printer": "Impressora",
+  "tick": "Tique-taque",
+  "tick-tock": "Tique-Taque",
+  "single-lens_reflex_camera": "Câmara Reflex de Lente Única",
+  "hammer": "Martelo",
+  "boom": "Estrondo",
+  "chop": "Corte",
+  "eruption": "Erupção",
+  "environmental_noise": "Ruído Ambiental",
+  "field_recording": "Gravação de Campo"
+}
diff --git a/web/public/locales/pt/common.json b/web/public/locales/pt/common.json
new file mode 100644
index 000000000..ad63195c1
--- /dev/null
+++ b/web/public/locales/pt/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "last30": "Últimos 30 dias",
+    "12hours": "12 horas",
+    "justNow": "Agora",
+    "yesterday": "Ontem",
+    "today": "Hoje",
+    "last7": "Últimos 7 dias",
+    "last14": "Últimos 14 dias",
+    "thisWeek": "Essa semana",
+    "lastWeek": "Semana passada",
+    "5minutes": "5 minutos",
+    "10minutes": "10 minutos",
+    "30minutes": "30 minutos",
+    "24hours": "24 horas",
+    "pm": "pm",
+    "am": "am",
+    "year_one": "{{time}} ano",
+    "year_many": "{{time}} de anos",
+    "year_other": "{{time}} anos",
+    "month_one": "{{time}} mes",
+    "month_many": "{{time}} meses",
+    "month_other": "",
+    "day_one": "{{time}} dia",
+    "day_many": "{{time}} dias",
+    "day_other": "{{time}} dias",
+    "thisMonth": "Esse mês",
+    "lastMonth": "Mês passado",
+    "1hour": "1 hora",
+    "hour_one": "{{time}} hora",
+    "hour_many": "{{time}} horas",
+    "hour_other": "{{time}} horas",
+    "minute_one": "{{time}} minuto",
+    "minute_many": "{{time}} minutos",
+    "minute_other": "{{time}} minutos",
+    "second_one": "{{time}} segundo",
+    "second_many": "{{time}} segundos",
+    "second_other": "{{time}} segundos",
+    "untilForTime": "Até {{time}}",
+    "untilForRestart": "Até que o Frigate reinicie.",
+    "untilRestart": "Até reiniciar",
+    "ago": "{{timeAgo}} atrás",
+    "d": "{{time}}d",
+    "h": "{{time}}h",
+    "m": "{{time}}m",
+    "s": "{{time}}s",
+    "yr": "{{time}}ano",
+    "mo": "{{time}}mês",
+    "formattedTimestamp": {
+      "12hour": "%b %-d, %I:%M:%S %p",
+      "24hour": "%b %-d, %H:%M:%S"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ss a",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%b %-d, %I:%M %p",
+      "24hour": "%b %-d, %H:%M"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "%b %-d %Y, %I:%M %p",
+      "24hour": "%b %-d %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    }
+  },
+  "unit": {
+    "speed": {
+      "kph": "kph",
+      "mph": "mph"
+    },
+    "length": {
+      "feet": "pé",
+      "meters": "metros"
+    }
+  },
+  "button": {
+    "enabled": "Habilitado",
+    "enable": "Habilitar",
+    "done": "Feito",
+    "reset": "Reiniciar",
+    "disabled": "Desabilitado",
+    "saving": "Salvando…",
+    "apply": "Aplicar",
+    "disable": "Desabilitar",
+    "save": "Salvar",
+    "copy": "Cópia",
+    "cancel": "Cancelar",
+    "close": "Fechar",
+    "history": "Histórico",
+    "back": "Voltar",
+    "fullscreen": "Ecrã Completo",
+    "exitFullscreen": "Sair do Ecrã Completo",
+    "twoWayTalk": "Conversa bidirecional",
+    "cameraAudio": "Áudio da câmera",
+    "edit": "Editar",
+    "off": "DESLIGADO",
+    "copyCoordinates": "Copiar coordenadas",
+    "on": "LIGADO",
+    "delete": "Excluir",
+    "download": "Download",
+    "info": "Informações",
+    "no": "Não",
+    "suspended": "Suspenso",
+    "yes": "Sim",
+    "unselect": "Desmarcar",
+    "unsuspended": "Dessuspender",
+    "deleteNow": "Excluir agora",
+    "export": "Exportar",
+    "next": "Próximo",
+    "play": "Tocar",
+    "pictureInPicture": "Sobrepor Imagem"
+  },
+  "label": {
+    "back": "Voltar"
+  },
+  "menu": {
+    "user": {
+      "logout": "Sair",
+      "account": "Conta",
+      "current": "Utilizador atual: {{user}}",
+      "setPassword": "Definir senha",
+      "title": "Utilizador",
+      "anonymous": "anônimo"
+    },
+    "faceLibrary": "Biblioteca de rostos",
+    "withSystem": "Sistema",
+    "theme": {
+      "label": "Tema",
+      "blue": "Azul",
+      "green": "Verde",
+      "red": "Vermelho",
+      "contrast": "Alto contraste",
+      "default": "Padrão",
+      "highcontrast": "Alto Contraste",
+      "nord": "Nord"
+    },
+    "system": "Sistema",
+    "systemMetrics": "Métricas do sistema",
+    "configuration": "Configuração",
+    "systemLogs": "Logs do sistema",
+    "settings": "Configurações",
+    "configurationEditor": "Editor de configuração",
+    "languages": "Idiomas",
+    "language": {
+      "en": "Inglês (English)",
+      "zhCN": "Chinês simplificado",
+      "withSystem": {
+        "label": "Use as configurações do sistema para idioma"
+      },
+      "fr": "Français (Francês)",
+      "es": "Español (Espanhol)",
+      "ru": "Русский (Russo)",
+      "de": "Deutsch (Alemão)",
+      "ja": "日本語 (Japonês)",
+      "yue": "Cantonês (粵語)",
+      "ar": "العربية (Arabic)",
+      "uk": "Ucraniano (Українська)",
+      "el": "Grego (Ελληνικά)",
+      "hi": "हिन्दी (Hindi)",
+      "pt": "Português (Portuguese)",
+      "tr": "Türkçe (Turkish)",
+      "it": "Italiano (Italian)",
+      "nb": "Norueguês Bokmål (Norsk Bokmål)",
+      "ko": "Coreano (한국어)",
+      "vi": "Vietnamita (Tiếng Việt)",
+      "nl": "Nederlands (Dutch)",
+      "sv": "Svenska (Swedish)",
+      "cs": "Tcheco (Čeština)",
+      "fa": "Persa (فارسی)",
+      "pl": "Polonês (Polski)",
+      "he": "Hebraico (עברית)",
+      "fi": "Finlandês (Suomi)",
+      "da": "Dinamarquês (Dansk)",
+      "ro": "Romeno (Română)",
+      "hu": "Húngaro (Magyar)",
+      "sk": "Eslovaco (Slovenčina)",
+      "th": "Tailandês",
+      "ca": "Català (Catalão)"
+    },
+    "appearance": "Aparência",
+    "darkMode": {
+      "label": "Modo escuro",
+      "withSystem": {
+        "label": "Use as configurações do sistema para o modo claro ou escuro"
+      },
+      "light": "Claro",
+      "dark": "Escuro"
+    },
+    "help": "Ajuda",
+    "documentation": {
+      "title": "Documentação",
+      "label": "Documentação do Frigate"
+    },
+    "restart": "Reiniciar Frigate",
+    "live": {
+      "title": "Ao vivo",
+      "allCameras": "Todas as câmaras",
+      "cameras": {
+        "title": "Câmaras",
+        "count_one": "{{count}} Câmera",
+        "count_many": "{{count}} Câmeras",
+        "count_other": "{{count}} Câmeras"
+      }
+    },
+    "export": "Exportar",
+    "explore": "Explorar",
+    "review": "Análise",
+    "uiPlayground": "Área de Testes da Interface"
+  },
+  "pagination": {
+    "previous": {
+      "label": "Ir para a página anterior",
+      "title": "Anterior"
+    },
+    "label": "paginação",
+    "next": {
+      "title": "Próximo",
+      "label": "Ir para a próxima página"
+    },
+    "more": "Mais páginas"
+  },
+  "role": {
+    "admin": "Administrador",
+    "viewer": "Visualizador",
+    "title": "Regra",
+    "desc": "Administradores têm acesso total a todos os recursos da interface do Frigate. Visualizadores estão limitados a visualizar câmeras, revisar itens e assistir o histórico de gravaçoes na interface."
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL copiada para a área de transferência.",
+    "save": {
+      "title": "Salvar",
+      "error": {
+        "noMessage": "Falha ao salvar as alterações de configuração",
+        "title": "Falha ao salvar as alterações de configuração: {{errorMessage}}"
+      }
+    }
+  },
+  "accessDenied": {
+    "documentTitle": "Acesso negado - Frigate",
+    "title": "Acesso negado",
+    "desc": "Você não tem permissão para visualizar esta página."
+  },
+  "notFound": {
+    "documentTitle": "Não encontrado - Frigate",
+    "desc": "Página não encontrada",
+    "title": "404"
+  },
+  "selectItem": "Selecionar {{item}}"
+}
diff --git a/web/public/locales/pt/components/auth.json b/web/public/locales/pt/components/auth.json
new file mode 100644
index 000000000..5dcccd7d6
--- /dev/null
+++ b/web/public/locales/pt/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nome do utilizador",
+    "login": "Login",
+    "errors": {
+      "usernameRequired": "O nome do utilizador é obrigatório",
+      "passwordRequired": "Senha é necessária",
+      "rateLimit": "Limite de taxa excedido. Tente novamente mais tarde.",
+      "loginFailed": "Falha no login",
+      "unknownError": "Erro desconhecido. Verifique os logs.",
+      "webUnknownError": "Erro desconhecido. Verifique os logs da consola."
+    },
+    "password": "Senha"
+  }
+}
diff --git a/web/public/locales/pt/components/camera.json b/web/public/locales/pt/components/camera.json
new file mode 100644
index 000000000..fa4a5fdc1
--- /dev/null
+++ b/web/public/locales/pt/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Grupos de câmaras",
+    "add": "Adicionar grupo de câmaras",
+    "edit": "Editar grupo de câmaras",
+    "delete": {
+      "label": "Excluir grupo de câmaras",
+      "confirm": {
+        "title": "Confirmar exclusão",
+        "desc": "Tem certeza de que deseja excluir o grupo de câmaras <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nome",
+      "placeholder": "Digita um nome…",
+      "errorMessage": {
+        "exists": "O nome do grupo de câmaras já existe.",
+        "nameMustNotPeriod": "O nome do grupo de câmaras não deve conter pontos.",
+        "mustLeastCharacters": "O nome do grupo de câmaras deve ter pelo menos 2 caracteres.",
+        "invalid": "Nome de grupo de câmaras inválido."
+      }
+    },
+    "cameras": {
+      "desc": "Selecione câmaras para este grupo.",
+      "label": "Câmaras"
+    },
+    "icon": "Ícone",
+    "success": "O grupo de câmaras ({{name}}) foi guardado.",
+    "camera": {
+      "setting": {
+        "audioIsAvailable": "O áudio está disponível para esta transmissão",
+        "audioIsUnavailable": "O áudio não está disponível para esta transmissão",
+        "audio": {
+          "tips": {
+            "document": "Leia a documentação ",
+            "title": "O áudio deve ser emitido pela sua câmara e configurado no go2rtc para esta transmissão."
+          }
+        },
+        "streamMethod": {
+          "label": "Método de transmissão",
+          "method": {
+            "smartStreaming": {
+              "label": "Transmissão inteligente (recomendado)",
+              "desc": "A transmissão inteligente atualizará a imagem da sua câmara uma vez por minuto quando nenhuma atividade detectável estiver ocorrendo para conservar largura de banda e recursos. Quando a atividade é detectada, a imagem muda perfeitamente para uma transmissão ao vivo."
+            },
+            "continuousStreaming": {
+              "label": "Transmissão contínua",
+              "desc": {
+                "warning": "A transmissão contínua pode causar alto uso de largura de banda e problemas de desempenho. Use com precaução.",
+                "title": "A imagem da câmara sempre será uma transmissão ao vivo quando visível no painel, mesmo que nenhuma atividade esteja sendo detectada."
+              }
+            },
+            "noStreaming": {
+              "label": "Sem transmissão",
+              "desc": "As imagens da câmara serão atualizadas apenas uma vez por minuto e não haverá transmissão ao vivo."
+            }
+          },
+          "placeholder": "Escolha um método de transmissão"
+        },
+        "compatibilityMode": {
+          "label": "Modo de compatibilidade",
+          "desc": "Habilite esta opção somente se a transmissão ao vivo da sua câmara estiver exibindo artefatos de cor e tiver uma linha diagonal no lado direito da imagem."
+        },
+        "label": "Configurações de transmissão da câmara",
+        "desc": "Altere as opções de transmissão ao vivo para o painel deste grupo de câmaras. <em>Essas configurações são específicas do dispositivo/navegador.</em>",
+        "title": "{{cameraName}} configurações de transmissão",
+        "placeholder": "Escolha uma transmissão",
+        "stream": "Transmissão"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Configurações",
+      "title": "Opções",
+      "hideOptions": "Ocultar opções",
+      "showOptions": "Mostrar opções"
+    },
+    "boundingBox": "Caixa delimitadora",
+    "timestamp": "Carimbo de hora",
+    "zones": "Zonas",
+    "mask": "Máscara",
+    "motion": "Movimento",
+    "regions": "Regiões"
+  }
+}
diff --git a/web/public/locales/pt/components/dialog.json b/web/public/locales/pt/components/dialog.json
new file mode 100644
index 000000000..766711539
--- /dev/null
+++ b/web/public/locales/pt/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "button": "Reiniciar",
+    "restarting": {
+      "title": "Frigate está reiniciando",
+      "content": "Esta página será recarregada em {{countdown}} segundos.",
+      "button": "Forçar atualização agora"
+    },
+    "title": "Tem certeza de que deseja reiniciar o Frigate?"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Enviar para Frigate+",
+        "desc": "Objetos em locais que você quer evitar não são falsos positivos. Enviá-los como falsos positivos confundirá o modelo."
+      },
+      "review": {
+        "true": {
+          "label": "Confirme esta etiqueta para Frigate Plus",
+          "true_one": "Este é um {{label}}",
+          "true_many": "Estes são muitos {{label}}",
+          "true_other": "Estão são {{label}}"
+        },
+        "state": {
+          "submitted": "Enviado"
+        },
+        "false": {
+          "label": "Não confirmar esta etiqueta para Frigate Plus",
+          "false_one": "Este não é um {{label}}",
+          "false_many": "Estes não são muitos {{label}}",
+          "false_other": "Estes não são {{label}}"
+        },
+        "question": {
+          "label": "Confirme este rótulo para Frigate Plus",
+          "ask_a": "Este objeto é um <code>{{label}}</code>?",
+          "ask_an": "Este objeto é um <code>{{label}}</code>?",
+          "ask_full": "Este objeto é um(a) <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Ver no histórico"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Selecione na linha do tempo",
+      "start": {
+        "title": "Hora de início",
+        "label": "Selecione a hora de início"
+      },
+      "end": {
+        "title": "Hora de término",
+        "label": "Selecione a hora de término"
+      },
+      "custom": "Personalizado",
+      "lastHour_one": "Última hora",
+      "lastHour_many": "Últimas {{count}} horas",
+      "lastHour_other": "Últimas {{count}} horas"
+    },
+    "export": "Exportar",
+    "toast": {
+      "success": "Exportação iniciada com sucesso. Veja o arquivo na pasta /exports.",
+      "error": {
+        "failed": "Falha ao iniciar a exportação: {{error}}",
+        "endTimeMustAfterStartTime": "O horário de término deve ser posterior ao horário de início",
+        "noVaildTimeSelected": "Nenhum intervalo de tempo válido selecionado"
+      }
+    },
+    "selectOrExport": "Selecionar ou Exportar",
+    "fromTimeline": {
+      "saveExport": "Salvar exportação",
+      "previewExport": "Visualizar exportação"
+    },
+    "select": "Selecione",
+    "name": {
+      "placeholder": "Nome da exportação"
+    }
+  },
+  "streaming": {
+    "showStats": {
+      "label": "Mostrar estatísticas de transmissão",
+      "desc": "Habilite esta opção para mostrar estatísticas de transmissão como uma sobreposição no feed da câmara."
+    },
+    "restreaming": {
+      "desc": {
+        "title": "Configure o go2rtc para obter opções adicionais de visualização ao vivo e áudio para esta câmara.",
+        "readTheDocumentation": "Leia a documentação"
+      },
+      "disabled": "A retransmissão não está habilitada para esta câmara."
+    },
+    "label": "Transmissão",
+    "debugView": "Exibição de depuração"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Salvar pesquisa",
+      "overwrite": "{{searchName}} já existe. Salvar substituirá o valor existente.",
+      "success": "A pesquisa ({{searchName}}) foi salva.",
+      "button": {
+        "save": {
+          "label": "Salvar esta pesquisa"
+        }
+      },
+      "placeholder": "Digite um nome para sua pesquisa",
+      "desc": "Forneça um nome para esta pesquisa salva."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Confirmar exclusão",
+      "desc": {
+        "selected": "Tem certeza de que deseja excluir todos os vídeos gravados associados a este item de analise?<br /><br />Segure a tecla <em>Shift</em> para ignorar esta caixa de diálogo no futuro."
+      },
+      "toast": {
+        "success": "As imagens de vídeo associadas aos itens de analise selecionados foram excluídas com êxito.",
+        "error": "Falhou a apagar: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Exportar",
+      "markAsReviewed": "Marcar como analisado",
+      "deleteNow": "Excluir agora"
+    }
+  }
+}
diff --git a/web/public/locales/pt/components/filter.json b/web/public/locales/pt/components/filter.json
new file mode 100644
index 000000000..53f56241f
--- /dev/null
+++ b/web/public/locales/pt/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "labels": {
+    "label": "Etiquetas",
+    "all": {
+      "short": "Etiquetas",
+      "title": "Todas as etiquetas"
+    },
+    "count": "{{count}} etiquetas",
+    "count_one": "{{count}} Etiqueta",
+    "count_other": "{{count}} Etiquetas"
+  },
+  "filter": "Filtro",
+  "zones": {
+    "label": "Zonas",
+    "all": {
+      "title": "Todas as zonas",
+      "short": "Zonas"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Todas as datas",
+      "short": "Datas"
+    },
+    "selectPreset": "Escolhe uma predefinição…"
+  },
+  "more": "Mais filtros",
+  "reset": {
+    "label": "Redefinir filtros para valores padrão"
+  },
+  "subLabels": {
+    "label": "Sub etiquetas",
+    "all": "Todas sub etiquetas"
+  },
+  "score": "Pontuação",
+  "features": {
+    "label": "Funcionalidades",
+    "hasSnapshot": "Tem um snapshot",
+    "hasVideoClip": "Tem um videoclipe",
+    "submittedToFrigatePlus": {
+      "label": "Enviado para Frigate+",
+      "tips": "Primeiro, você deve filtrar os objetos rastreados que têm um snapshot.<br /><br />Objetos rastreados sem um snapshot não podem ser enviados ao Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Organizar",
+    "dateAsc": "Data (Ascendente)",
+    "scoreAsc": "Pontuação do objeto (Crescente)",
+    "scoreDesc": "Pontuação do objeto (Decrescente)",
+    "speedDesc": "Velocidade estimada (Decrescente)",
+    "speedAsc": "Velocidade estimada (Crescente)",
+    "dateDesc": "Data (Decrescente)",
+    "relevance": "Relevância"
+  },
+  "cameras": {
+    "label": "Filtro de câmaras",
+    "all": {
+      "short": "Câmaras",
+      "title": "Todas as câmaras"
+    }
+  },
+  "review": {
+    "showReviewed": "Mostrar analisados"
+  },
+  "motion": {
+    "showMotionOnly": "Mostrar apenas movimento"
+  },
+  "explore": {
+    "settings": {
+      "title": "Configurações",
+      "defaultView": {
+        "title": "Exibição padrão",
+        "summary": "Sumário",
+        "unfilteredGrid": "Grade não filtrada",
+        "desc": "Quando nenhum filtro for selecionado, exiba um resumo dos objetos rastreados mais recentemente por etiqueta ou exiba uma grade não filtrada."
+      },
+      "gridColumns": {
+        "title": "Colunas da grade",
+        "desc": "Selecione o número de colunas na visualização em grade."
+      },
+      "searchSource": {
+        "label": "Pesquisar fonte",
+        "desc": "Escolha se deseja pesquisar nas miniaturas ou descrições dos seus objetos rastreados.",
+        "options": {
+          "thumbnailImage": "Imagem em miniatura",
+          "description": "Descrição"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Selecione uma data para filtrar"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Nível de log do filtro",
+    "loading": {
+      "title": "Carregando",
+      "desc": "Ao fazer scroll até ao fundo no painel de logs, novos registos são automaticamente apresentados à medida que são adicionados."
+    },
+    "filterBySeverity": "Filtrar logs por gravidade",
+    "disableLogStreaming": "Desativar transmissão de logs",
+    "allLogs": "Todos os logs"
+  },
+  "estimatedSpeed": "Velocidade estimada ({{unit}})",
+  "timeRange": "Intervalo de tempo",
+  "zoneMask": {
+    "filterBy": "Filtrar por máscara de zona"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmar exclusão",
+    "toast": {
+      "success": "Objetos rastreados excluídos com sucesso.",
+      "error": "Falha ao excluir os objetos rastreados: {{errorMessage}}"
+    },
+    "desc": "Excluir estes {{objectLength}} objetos rastreados remove a captura de imagem, quaisquer embeddings salvos e todas as entradas associadas ao ciclo de vida do objeto. As gravações desses objetos rastreados na visualização do Histórico <em>NÃO</em> serão excluídas.<br /><br />Tem certeza de que deseja continuar?<br /><br />Mantenha pressionada a tecla <em>Shift</em> para ignorar este diálogo no futuro."
+  },
+  "recognizedLicensePlates": {
+    "title": "Placas Reconhecidas",
+    "noLicensePlatesFound": "Nenhuma matrícula encontrada.",
+    "selectPlatesFromList": "Selecione uma ou mais placas da lista.",
+    "loadFailed": "Falha ao carregar as placas reconhecidas.",
+    "loading": "Carregando placas reconhecidas…",
+    "placeholder": "Digite para procurar placas…"
+  }
+}
diff --git a/web/public/locales/pt/components/icons.json b/web/public/locales/pt/components/icons.json
new file mode 100644
index 000000000..ddd38e84c
--- /dev/null
+++ b/web/public/locales/pt/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selecione um ícone",
+    "search": {
+      "placeholder": "Pesquisar por um ícone…"
+    }
+  }
+}
diff --git a/web/public/locales/pt/components/input.json b/web/public/locales/pt/components/input.json
new file mode 100644
index 000000000..3332f0820
--- /dev/null
+++ b/web/public/locales/pt/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Descarregar vídeo",
+      "toast": {
+        "success": "O vídeo do seu item de análise começou a ser descarregado."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pt/components/player.json b/web/public/locales/pt/components/player.json
new file mode 100644
index 000000000..301e3f60d
--- /dev/null
+++ b/web/public/locales/pt/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFound": "Nenhuma visualização encontrada",
+  "noPreviewFoundFor": "Nenhuma visualização encontrada para {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Enviar este quadro para o Frigate+?",
+    "submit": "Enviar"
+  },
+  "streamOffline": {
+    "title": "Transmissão offline",
+    "desc": "Nenhum quadro foi recebido na transmissão de <code>detecção</code> {{cameraName}}, verifique os logs de erro"
+  },
+  "cameraDisabled": "A câmara está desativada",
+  "stats": {
+    "streamType": {
+      "title": "Tipo de transmissão:",
+      "short": "Tipo"
+    },
+    "bandwidth": {
+      "title": "Largura de banda:",
+      "short": "Largura de banda"
+    },
+    "latency": {
+      "value": "{{seconds}} segundos",
+      "short": {
+        "title": "Latência",
+        "value": "{{seconds}} seg"
+      },
+      "title": "Latência:"
+    },
+    "totalFrames": "Total de quadros:",
+    "droppedFrames": {
+      "title": "Quadros perdidos:",
+      "short": {
+        "title": "Perdido",
+        "value": "{{droppedFrames}} quadros"
+      }
+    },
+    "decodedFrames": "Quadros decodificados:",
+    "droppedFrameRate": "Taxa de Quadros Perdidos:"
+  },
+  "noRecordingsFoundForThisTime": "Nenhuma gravação encontrada para este momento",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ou superior é necessário para este tipo de transmissão ao vivo.",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Quadro enviado com sucesso para o Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Falha ao enviar o quadro para o Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/pt/objects.json b/web/public/locales/pt/objects.json
new file mode 100644
index 000000000..ada61d184
--- /dev/null
+++ b/web/public/locales/pt/objects.json
@@ -0,0 +1,120 @@
+{
+  "giraffe": "Girafa",
+  "cup": "Chávena",
+  "person": "Pessoa",
+  "stop_sign": "Sinal de Stop",
+  "sheep": "Ovelha",
+  "sandwich": "Sandes",
+  "carrot": "Cenoura",
+  "dining_table": "Mesa de jantar",
+  "motorcycle": "Motociclo",
+  "bicycle": "Bicicleta",
+  "street_sign": "Sinal de rua",
+  "pizza": "Pizza",
+  "parking_meter": "Parquímetro",
+  "skateboard": "Skate",
+  "bottle": "Garrafa",
+  "car": "Carro",
+  "airplane": "Avião",
+  "bus": "Autocarro",
+  "train": "Comboio",
+  "boat": "Barco",
+  "traffic_light": "Semáforo",
+  "fire_hydrant": "Boca de Incêndio",
+  "bird": "Pássaro",
+  "cat": "Gato",
+  "bench": "Banco de jardim/rua",
+  "elephant": "Elefante",
+  "hat": "Chapéu",
+  "backpack": "Mochila",
+  "shoe": "Sapato",
+  "handbag": "Bolsa de mão",
+  "tie": "Gravata",
+  "suitcase": "Mala de viagem",
+  "frisbee": "Disco de Frisbee",
+  "skis": "Esquis",
+  "kite": "Kite",
+  "baseball_bat": "Taco basebol",
+  "tennis_racket": "Raquete de Tenis",
+  "plate": "Prato",
+  "wine_glass": "Copo de Vinho",
+  "fork": "Garfo",
+  "spoon": "Colher",
+  "bowl": "Tijela",
+  "banana": "Banana",
+  "apple": "Maça",
+  "hot_dog": "Cachorro quente",
+  "donut": "Donut",
+  "cake": "Bolo",
+  "chair": "Cadeira",
+  "potted_plant": "Planta em vaso",
+  "mirror": "Espelho",
+  "desk": "Mesa",
+  "toilet": "Casa de Banho",
+  "door": "Porta",
+  "baseball_glove": "Luva de beisebol",
+  "surfboard": "Prancha de surf",
+  "broccoli": "Brócolos",
+  "snowboard": "Snowboard",
+  "dog": "Cão",
+  "bear": "Urso",
+  "eye_glasses": "Óculos",
+  "umbrella": "Guarda-chuva",
+  "horse": "Cavalo",
+  "bed": "Cama",
+  "cow": "Vaca",
+  "zebra": "Zebra",
+  "sports_ball": "Bola",
+  "knife": "Faca",
+  "orange": "Laranja",
+  "window": "Janela",
+  "clock": "Relógio",
+  "keyboard": "Teclado",
+  "animal": "Animal",
+  "bark": "Latido",
+  "goat": "Cabra",
+  "vehicle": "Veículo",
+  "scissors": "Tesoura",
+  "mouse": "Rato",
+  "teddy_bear": "Urso de peluche",
+  "hair_dryer": "Secador de cabelo",
+  "toothbrush": "Escova de dentes",
+  "hair_brush": "Escova de Cabelo",
+  "squirrel": "Esquilo",
+  "couch": "Sofá",
+  "tv": "TV",
+  "laptop": "Portátil",
+  "remote": "Controlo Remoto",
+  "cell_phone": "Telemóvel",
+  "microwave": "Microondas",
+  "oven": "Forno",
+  "toaster": "Torradeira",
+  "sink": "Pia",
+  "refrigerator": "Frigorífico",
+  "blender": "Liquidificador",
+  "book": "Livro",
+  "vase": "Vaso",
+  "deer": "Veado",
+  "fox": "Raposa",
+  "rabbit": "Coelho",
+  "raccoon": "Guaxinim",
+  "robot_lawnmower": "Robô corta relva",
+  "waste_bin": "Contentor do Lixo",
+  "on_demand": "On Demand",
+  "face": "Rosto",
+  "license_plate": "Matrícula",
+  "package": "Pacote",
+  "bbq_grill": "Churrasqueira",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/pt/views/configEditor.json b/web/public/locales/pt/views/configEditor.json
new file mode 100644
index 000000000..6d6c98166
--- /dev/null
+++ b/web/public/locales/pt/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Editor de configuração",
+  "copyConfig": "Copiar configuração",
+  "saveAndRestart": "Salvar e reiniciar",
+  "saveOnly": "Salvar Apenas",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Configuração copiada para a área de transferência."
+    },
+    "error": {
+      "savingError": "Erro ao salvar configuração"
+    }
+  },
+  "documentTitle": "Editor de configuração - Frigate",
+  "confirm": "Sair sem salvar?"
+}
diff --git a/web/public/locales/pt/views/events.json b/web/public/locales/pt/views/events.json
new file mode 100644
index 000000000..6478001c6
--- /dev/null
+++ b/web/public/locales/pt/views/events.json
@@ -0,0 +1,38 @@
+{
+  "detections": "Detecções",
+  "motion": {
+    "label": "Movimento",
+    "only": "Somente movimento"
+  },
+  "allCameras": "Todas as câmaras",
+  "empty": {
+    "motion": "Nenhum dado de movimento encontrado",
+    "alert": "Não há alertas para análise",
+    "detection": "Não há detecções para análise"
+  },
+  "timeline": "Linha do tempo",
+  "events": {
+    "aria": "Selecionar eventos",
+    "label": "Eventos",
+    "noFoundForTimePeriod": "Nenhum evento encontrado para este período."
+  },
+  "timeline.aria": "Selecione a linha do tempo",
+  "alerts": "Alertas",
+  "documentTitle": "Análise - Frigate",
+  "recordings": {
+    "documentTitle": "Gravações - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Últimas 24 horas"
+  },
+  "markAsReviewed": "Marcar como analisado",
+  "markTheseItemsAsReviewed": "Marque esses itens como analisados",
+  "newReviewItems": {
+    "label": "Ver novos itens para analisar",
+    "button": "Novos itens para analisar"
+  },
+  "camera": "Câmara",
+  "detected": "detectado",
+  "selected_one": "{{count}} selecionado",
+  "selected_other": "{{count}} selecionados"
+}
diff --git a/web/public/locales/pt/views/explore.json b/web/public/locales/pt/views/explore.json
new file mode 100644
index 000000000..a271d1df7
--- /dev/null
+++ b/web/public/locales/pt/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "generativeAI": "IA Generativa",
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "startingUp": "Iniciando…",
+      "estimatedTime": "Tempo restante estimado:",
+      "finishingShortly": "Terminando em breve",
+      "step": {
+        "thumbnailsEmbedded": "Miniaturas incorporadas: ",
+        "descriptionsEmbedded": "Descrições incorporadas: ",
+        "trackedObjectsProcessed": "Objetos rastreados processados: "
+      },
+      "context": "O explorar pode ser usado depois que as incorporações de objetos rastreados terminarem de ser reindexadas."
+    },
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Modelo de visão",
+        "textModel": "Modelo de texto",
+        "textTokenizer": "Tokenizador de texto",
+        "visionModelFeatureExtractor": "Extrator de características de modelo de visão"
+      },
+      "context": "O Frigate está descarregando os modelos de incorporação necessários para dar suporte a funcionalidade de pesquisa semântica. Isso pode levar vários minutos, dependendo da velocidade da sua conexão de rede.",
+      "tips": {
+        "context": "Talvez você queira reindexar as incorporações dos seus objetos rastreados depois que os modelos forem descarregados.",
+        "documentation": "Leia a documentação"
+      },
+      "error": "Ocorreu um erro. Verifique os logs do Frigate."
+    },
+    "title": "Explorar não está disponível"
+  },
+  "details": {
+    "timestamp": "Carimbo de hora",
+    "item": {
+      "title": "Analisar detalhes do item",
+      "desc": "Analisar detalhes do item",
+      "tips": {
+        "hasMissingObjects": "Ajuste sua configuração se você quiser que o Frigate guarde os objetos rastreados para os seguintes rótulos: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} objeto indisponível foi detectado e incluído neste item de análise. Esses objetos não qualificaram como alerta ou detecção ou já foram limpos/excluídos.",
+        "mismatch_many": "{{count}} objetos indisponíveis foram detectados e incluídos neste item de análise. Esses objetos não qualificaram como alerta ou detecção ou já foram limpos/excluídos.",
+        "mismatch_other": "{{count}} objetos indisponíveis foram detectados e incluídos neste item de análise. Esses objetos não qualificaram como alerta ou detecção ou já foram limpos/excluídos."
+      },
+      "toast": {
+        "success": {
+          "regenerate": "Uma nova descrição foi solicitada pelo {{provider}}. Dependendo da velocidade do seu fornecedor, a nova descrição pode levar algum tempo para ser regenerada.",
+          "updatedSublabel": "Sub-rotulo atualizado com sucesso.",
+          "updatedLPR": "Matrícula atualizada com sucesso."
+        },
+        "error": {
+          "regenerate": "Falha ao chamar {{provider}} para uma nova descrição: {{errorMessage}}",
+          "updatedSublabelFailed": "Falha ao atualizar o sub-rotulo: {{errorMessage}}",
+          "updatedLPRFailed": "Falha ao atualizar a matrícula: {{errorMessage}}"
+        }
+      },
+      "button": {
+        "share": "Compartilhe este item para análise",
+        "viewInExplore": "Ver no Explorar"
+      }
+    },
+    "zones": "Zonas",
+    "description": {
+      "label": "Descrição",
+      "aiTips": "O Frigate não solicitará uma descrição do seu fornecedor de IA Generativa até que o ciclo de vida do objeto rastreado tenha terminado.",
+      "placeholder": "Descrição do objeto rastreado"
+    },
+    "camera": "Câmera",
+    "snapshotScore": {
+      "label": "Pontuação da captura"
+    },
+    "topScore": {
+      "label": "Maior pontuação",
+      "info": "A maior pontuação é a maior pontuação mediana para o objeto rastreado, portanto, isso pode diferir da pontuação exibida na miniatura do resultado da pesquisa."
+    },
+    "button": {
+      "findSimilar": "Encontrar similar",
+      "regenerate": {
+        "title": "Regenerar",
+        "label": "Regenerar descrição do objeto rastreado"
+      }
+    },
+    "label": "Rótulo",
+    "editSubLabel": {
+      "title": "Editar sub-rotulo",
+      "desc": "Digite um novo sub-rotulo para este {{label}}",
+      "descNoLabel": "Digite um novo sub-rotulo para este objeto rastreado"
+    },
+    "editLPR": {
+      "title": "Editar matrícula",
+      "desc": "Digite um novo valor da matrícula para este {{label}}",
+      "descNoLabel": "Digite um novo valor da matrícula para este objeto rastreado"
+    },
+    "recognizedLicensePlate": "Matrícula reconhecida",
+    "estimatedSpeed": "Velocidade estimada",
+    "objects": "Objetos",
+    "expandRegenerationMenu": "Expandir menu de regeneração",
+    "regenerateFromSnapshot": "Regenerar a partir da captura",
+    "regenerateFromThumbnails": "Regenerar a partir das miniaturas",
+    "tips": {
+      "descriptionSaved": "Descrição salva com sucesso",
+      "saveDescriptionFailed": "Falha ao atualizar a descrição: {{errorMessage}}"
+    }
+  },
+  "documentTitle": "Explorar - Frigate",
+  "trackedObjectDetails": "Detalhes do objeto rastreado",
+  "type": {
+    "details": "detalhes",
+    "video": "vídeo",
+    "object_lifecycle": "ciclo de vida do objeto",
+    "snapshot": "snapshot"
+  },
+  "objectLifecycle": {
+    "title": "Ciclo de vida do objeto",
+    "lifecycleItemDesc": {
+      "attribute": {
+        "other": "{{label}} reconhecido como {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} detectado por {{label}}"
+      },
+      "gone": "{{label}} saiu",
+      "heard": "{{label}} ouvido",
+      "visible": "{{label}} detectado",
+      "external": "{{label}} detectado",
+      "entered_zone": "{{label}} entrou em {{zones}}",
+      "active": "{{label}} se tornou ativo",
+      "stationary": "{{label}} se tornou estacionário",
+      "header": {
+        "zones": "Zonas",
+        "ratio": "Proporção",
+        "area": "Área"
+      }
+    },
+    "annotationSettings": {
+      "title": "Configurações de anotação",
+      "offset": {
+        "documentation": "Leia a documentação ",
+        "desc": "Esses dados vêm do feed de detecção da sua câmara, mas são sobrepostos nas imagens do feed de gravação. É improvável que os dois streams estejam perfeitamente sincronizados. Como resultado, a caixa delimitadora e o vídeo não se alinharão perfeitamente. No entanto, o campo <code>annotation_offset</code> pode ser usado para ajustar isso.",
+        "tips": "DICA: Imagine que há um clipe de evento com uma pessoa a andar da esquerda para a direita. Se a caixa delimitadora da linha do tempo do evento estiver consistentemente à esquerda da pessoa, o valor deve ser diminuído. Da mesma forma, se uma pessoa estiver andando da esquerda para a direita e a caixa delimitadora estiver consistentemente à frente da pessoa, o valor deve ser aumentado.",
+        "label": "Deslocamento de Anotação",
+        "millisecondsToOffset": "Milissegundos para deslocar as anotações de detecção. <em>Padrão: 0</em>",
+        "toast": {
+          "success": "O deslocamento de anotação para {{camera}} foi salvo no arquivo de configuração. Reinicie o Frigate para aplicar as alterações."
+        }
+      },
+      "showAllZones": {
+        "title": "Mostrar todas as zonas",
+        "desc": "Sempre mostrar zonas nos quadros onde os objetos entraram em uma zona."
+      }
+    },
+    "carousel": {
+      "previous": "Slide anterior",
+      "next": "Próximo slide"
+    },
+    "noImageFound": "Nenhuma imagem encontrada para este carimbo de data/hora.",
+    "createObjectMask": "Criar Máscara de Objeto",
+    "adjustAnnotationSettings": "Ajustar configurações de anotação",
+    "autoTrackingTips": "As posições da caixa delimitadora serão imprecisas para câmeras com rastreamento automático.",
+    "scrollViewTips": "Faça scroll para ver os momentos significativos do ciclo de vida deste objeto.",
+    "count": "{{first}} de {{second}}",
+    "trackedPoint": "Ponto Rastreado"
+  },
+  "itemMenu": {
+    "downloadSnapshot": {
+      "aria": "Descarregar captura",
+      "label": "Descarregar captura"
+    },
+    "viewObjectLifecycle": {
+      "label": "Ver ciclo de vida do objeto",
+      "aria": "Mostrar o ciclo de vida do objeto"
+    },
+    "viewInHistory": {
+      "label": "Ver no Histórico",
+      "aria": "Ver no Histórico"
+    },
+    "downloadVideo": {
+      "label": "Descarregar vídeo",
+      "aria": "Descarregar vídeo"
+    },
+    "findSimilar": {
+      "label": "Encontrar similar",
+      "aria": "Encontrar objetos rastreados similares"
+    },
+    "submitToPlus": {
+      "label": "Enviar para o Frigate+",
+      "aria": "Enviar para o Frigate Plus"
+    },
+    "deleteTrackedObject": {
+      "label": "Excluir este objeto rastreado"
+    }
+  },
+  "searchResult": {
+    "tooltip": "Encontrado {{type}} com {{confidence}}% de confiança",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Objeto rastreado excluído com sucesso.",
+        "error": "Falha ao excluir objeto rastreado: {{errorMessage}}"
+      }
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "desc": "Excluir este objeto rastreado remove a captura de imagem, quaisquer incorporações salvas e todas as entradas associadas ao ciclo de vida do objeto. As gravações desse objeto rastreado na visualização do Histórico <em>NÃO</em> serão excluídas.<br /><br />Tem certeza de que deseja continuar?",
+      "title": "Confirmar exclusão"
+    }
+  },
+  "fetchingTrackedObjectsFailed": "Erro ao buscar objetos rastreados: {{errorMessage}}",
+  "noTrackedObjects": "Nenhum objeto rastreado encontrado",
+  "trackedObjectsCount_one": "{{count}} objeto rastreado ",
+  "trackedObjectsCount_many": "{{count}} objetos rastreados ",
+  "trackedObjectsCount_other": "",
+  "exploreMore": "Explora mais objetos {{label}}"
+}
diff --git a/web/public/locales/pt/views/exports.json b/web/public/locales/pt/views/exports.json
new file mode 100644
index 000000000..f1c441a2e
--- /dev/null
+++ b/web/public/locales/pt/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exportar - Frigate",
+  "search": "Pesquisar",
+  "noExports": "Nenhuma exportação encontrada",
+  "deleteExport": "Excluir exportação",
+  "editExport": {
+    "title": "Renomear exportação",
+    "desc": "Digite um novo nome para esta exportação.",
+    "saveExport": "Salvar exportação"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Falha ao renomear exportação: {{errorMessage}}"
+    }
+  },
+  "deleteExport.desc": "Tem a certeza de que deseja excluir {{exportName}}?"
+}
diff --git a/web/public/locales/pt/views/faceLibrary.json b/web/public/locales/pt/views/faceLibrary.json
new file mode 100644
index 000000000..057e01569
--- /dev/null
+++ b/web/public/locales/pt/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "description": {
+    "placeholder": "Digite um nome para esta coleção",
+    "addFace": "Veja como adicionar uma nova coleção à biblioteca de rostos.",
+    "invalidName": "Nome inválido. Os nomes podem incluir apenas letras, números, espaços, apóstrofos, sublinhados e hífens."
+  },
+  "details": {
+    "person": "Pessoa",
+    "face": "Detalhes do rosto",
+    "faceDesc": "Detalhes do objeto encontrado que gerou esta cara",
+    "timestamp": "Carimbo de hora",
+    "confidence": "Confiança",
+    "scoreInfo": "A pontuação da subetiqueta é a pontuação ponderada de todas as confianças de rostos reconhecidos, portanto, ela pode ser diferente da pontuação exibida na captura de imagem.",
+    "subLabelScore": "Pontuação da Subetiqueta",
+    "unknown": "Desconhecido"
+  },
+  "documentTitle": "Biblioteca de rostos - Frigate",
+  "uploadFaceImage": {
+    "title": "Carregar imagem do rosto",
+    "desc": "Carregue uma imagem para procurar rostos e incluir em {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Criar coleção",
+    "desc": "Criar uma nova coleção",
+    "new": "Criar novo rosto",
+    "nextSteps": "Para construir uma base sólida:<li>Use a aba Treinar para selecionar e treinar em imagens para cada pessoa detectada.</li><li>Concentre-se em imagens diretas para obter melhores resultados; evite imagens de treino que capturem rostos em ângulo.</li></ul>"
+  },
+  "train": {
+    "aria": "Selecionar treino",
+    "title": "Treinar",
+    "empty": "Não há tentativas recentes de reconhecimento facial"
+  },
+  "selectItem": "Selecionar {{item}}",
+  "selectFace": "Selecionar rosto",
+  "deleteFaceLibrary": {
+    "title": "Excluir nome",
+    "desc": "Tem certeza de que deseja excluir a coleção {{name}}? Isso excluirá permanentemente todos os rostos associados."
+  },
+  "button": {
+    "addFace": "Adicionar rosto",
+    "uploadImage": "Carregar imagem",
+    "deleteFaceAttempts": "Excluir rostos",
+    "reprocessFace": "Reprocessar Rosto",
+    "renameFace": "Renomear rosto",
+    "deleteFace": "Excluir rosto"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Selecione um arquivo de imagem."
+    },
+    "dropActive": "Solte a imagem aqui…",
+    "maxSize": "Tamanho máximo: {{size}}MB",
+    "dropInstructions": "Arraste e solte uma imagem aqui ou clique para selecionar"
+  },
+  "trainFace": "Treinar rosto",
+  "toast": {
+    "success": {
+      "updatedFaceScore": "Pontuação facial atualizada com sucesso.",
+      "trainedFace": "Rosto treinado com sucesso.",
+      "deletedFace_one": "{{count}} rosto excluído com sucesso.",
+      "deletedFace_many": "{{count}} rostos excluídos com sucesso.",
+      "deletedFace_other": "{{count}} rostos excluídos com sucesso.",
+      "deletedName_one": "{{count}} rosto foi excluído com sucesso.",
+      "deletedName_many": "{{count}} rostos foram excluídos com sucesso.",
+      "deletedName_other": "{{count}} rostos foram excluídos com sucesso.",
+      "uploadedImage": "Imagem carregada com sucesso.",
+      "addFaceLibrary": "{{name}} foi adicionado com sucesso à biblioteca de rostos!",
+      "renamedFace": "Rosto renomeado com sucesso para {{name}}"
+    },
+    "error": {
+      "uploadingImageFailed": "Falha ao carregar a imagem: {{errorMessage}}",
+      "deleteFaceFailed": "Falha ao excluir: {{errorMessage}}",
+      "deleteNameFailed": "Falha ao excluir nome: {{errorMessage}}",
+      "addFaceLibraryFailed": "Falhou ao definir nome do rosto: {{errorMessage}}",
+      "trainFailed": "Falhou ao treinar: {{errorMessage}}",
+      "updateFaceScoreFailed": "Falhou ao atualizar pontuação do rosto: {{errorMessage}}",
+      "renameFaceFailed": "Falha ao renomear o rosto: {{errorMessage}}"
+    }
+  },
+  "readTheDocs": "Leia a documentação",
+  "trainFaceAs": "Treinar rosto como:",
+  "steps": {
+    "faceName": "Digite o Nome do Rosto",
+    "uploadFace": "Carregar imagem do rosto",
+    "nextSteps": "Próximos passos",
+    "description": {
+      "uploadFace": "Carregue uma imagem de {{name}} que mostre a cara de frente. A imagem não precisa de ser cortada para mostrar apenas a cara."
+    }
+  },
+  "renameFace": {
+    "desc": "Entre com um novo nome para {{name}}",
+    "title": "Renomear rosto"
+  },
+  "collections": "Coleções",
+  "deleteFaceAttempts": {
+    "title": "Excluir rostos",
+    "desc_one": "Tem a certeza que pretende apagar {{count}} cara? Esta ação não pode ser revertida.",
+    "desc_many": "Tem a certeza que pretende apagar {{count}} caras? Esta ação não pode ser revertida.",
+    "desc_other": "Tem a certeza que pretende apagar {{count}} caras? Esta ação não pode ser revertida."
+  },
+  "nofaces": "Não tem caras disponíveis",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/pt/views/live.json b/web/public/locales/pt/views/live.json
new file mode 100644
index 000000000..eb0330a97
--- /dev/null
+++ b/web/public/locales/pt/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Ao vivo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Ao vivo - Frigate",
+  "twoWayTalk": {
+    "disable": "Desativar conversa bidirecional",
+    "enable": "Habilitar conversa bidirecional"
+  },
+  "cameraAudio": {
+    "enable": "Habilitar áudio da câmara",
+    "disable": "Desativar áudio da câmara"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Clique no quadro para centralizar a câmara",
+        "enable": "Habilitar clique para mover",
+        "disable": "Desativar clique para mover"
+      },
+      "down": {
+        "label": "Mover a câmara PTZ para baixo"
+      },
+      "up": {
+        "label": "Mover a câmara PTZ para cima"
+      },
+      "left": {
+        "label": "Mover a câmara PTZ para a esquerda"
+      },
+      "right": {
+        "label": "Mover a câmara PTZ para a direita"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Aumentar zoom da câmara PTZ"
+      },
+      "out": {
+        "label": "Diminuir zoom da câmara PTZ"
+      }
+    },
+    "presets": "Predefinições de câmara PTZ",
+    "frame": {
+      "center": {
+        "label": "Clique no quadro para centralizar a câmara PTZ"
+      }
+    }
+  },
+  "lowBandwidthMode": "Modo de baixa largura de banda",
+  "camera": {
+    "enable": "Habilitar câmara",
+    "disable": "Desativar câmara"
+  },
+  "muteCameras": {
+    "disable": "Ativar áudio de todas as câmaras",
+    "enable": "Silenciar todas as câmaras"
+  },
+  "detect": {
+    "enable": "Habilitar detecção",
+    "disable": "Desativar detecção"
+  },
+  "snapshots": {
+    "enable": "Habilitar snapshots",
+    "disable": "Desativar snapshots"
+  },
+  "audioDetect": {
+    "enable": "Habilitar detecção de áudio",
+    "disable": "Desativar detecção de áudio"
+  },
+  "autotracking": {
+    "enable": "Habilitar rastreamento automático",
+    "disable": "Desativar rastreamento automático"
+  },
+  "streamStats": {
+    "enable": "Mostrar estatísticas de transmissão",
+    "disable": "Ocultar estatísticas de transmissão"
+  },
+  "manualRecording": {
+    "tips": "Inicie um evento manual com base nas configurações de retenção de gravação desta câmara.",
+    "playInBackground": {
+      "label": "Reproduzir em segundo plano",
+      "desc": "Habilite esta opção para continuar a transmissão quando o player estiver oculto."
+    },
+    "showStats": {
+      "label": "Mostrar estatísticas",
+      "desc": "Habilite esta opção para mostrar estatísticas de transmissão como uma sobreposição no feed da câmara."
+    },
+    "start": "Iniciar gravação on-demand",
+    "recordDisabledTips": "Como a gravação está desabilitada ou restrita na configuração desta câmara, apenas um snapshot será salvo.",
+    "end": "Encerrar gravação on-demand",
+    "ended": "Fim da gravação manual on-demand.",
+    "failedToEnd": "Falha ao finalizar a gravação manual on-demand.",
+    "failedToStart": "Falha ao iniciar a gravação manual on-demand.",
+    "title": "Gravação on-demand",
+    "started": "Iniciou a gravação manual on-demand.",
+    "debugView": "Exibição de depuração"
+  },
+  "streamingSettings": "Configurações de transmissão",
+  "notifications": "Notificações",
+  "suspend": {
+    "forTime": "Suspender por: "
+  },
+  "stream": {
+    "title": "Transmissão",
+    "audio": {
+      "tips": {
+        "title": "O áudio deve ser emitido pela sua câmara e configurado no go2rtc para esta transmissão.",
+        "documentation": "Leia a documentação "
+      },
+      "available": "O áudio está disponível para esta transmissão",
+      "unavailable": "O áudio não está disponível para esta transmissão"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "Leia a documentação ",
+      "unavailable": "Conversa bidirecional não está disponível para esta transmissão",
+      "tips": "Seu dispositivo deve suportar o recurso e o WebRTC deve ser configurado para conversa bidirecional.",
+      "available": "Conversa bidirecional está disponível para esta transmissão"
+    },
+    "lowBandwidth": {
+      "tips": "A visualização ao vivo está em modo de baixa largura de banda devido a erros de buffer ou transmissão.",
+      "resetStream": "Reiniciar transmissão"
+    },
+    "playInBackground": {
+      "label": "Reproduzir em segundo plano",
+      "tips": "Habilite esta opção para continuar a transmissão quando o player estiver oculto."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} configurações",
+    "cameraEnabled": "Câmara habilitada",
+    "objectDetection": "Detecção de objeto",
+    "recording": "Gravando",
+    "audioDetection": "Detecção de áudio",
+    "autotracking": "Rastreamento automático",
+    "snapshots": "Snapshots"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "active_objects": "Objetos ativos",
+      "motion": "Movimento",
+      "all": "Todos"
+    },
+    "notAllTips": "Sua configuração de retenção de gravação {{source}} está definida como <code>modo: {{effectiveRetainMode}}</code>, portanto, esta gravação on-demand manterá apenas segmentos com {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Editar layout",
+    "group": {
+      "label": "Editar grupo de câmaras"
+    },
+    "exitEdit": "Sair da edição"
+  },
+  "audio": "Áudio",
+  "recording": {
+    "enable": "Habilitar gravação",
+    "disable": "Desativar gravação"
+  },
+  "history": {
+    "label": "Mostrar filmagens históricas"
+  }
+}
diff --git a/web/public/locales/pt/views/recording.json b/web/public/locales/pt/views/recording.json
new file mode 100644
index 000000000..a8b6e390c
--- /dev/null
+++ b/web/public/locales/pt/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Exportar",
+  "calendar": "Calendário",
+  "filter": "Filtro",
+  "filters": "Filtros",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "O horário de término deve ser posterior ao horário de início",
+      "noValidTimeSelected": "Nenhum intervalo de tempo válido selecionado"
+    }
+  }
+}
diff --git a/web/public/locales/pt/views/search.json b/web/public/locales/pt/views/search.json
new file mode 100644
index 000000000..4443f2788
--- /dev/null
+++ b/web/public/locales/pt/views/search.json
@@ -0,0 +1,74 @@
+{
+  "search": "Pesquisar",
+  "savedSearches": "Pesquisas salvas",
+  "searchFor": "Pesquisar por {{inputValue}}",
+  "button": {
+    "save": "Salvar pesquisa",
+    "delete": "Excluir pesquisa salva",
+    "filterInformation": "Informação do filtro",
+    "filterActive": "Filtros ativos",
+    "clear": "Limpar pesquisa"
+  },
+  "trackedObjectId": "ID do objeto rastreado",
+  "filter": {
+    "label": {
+      "sub_labels": "Sub etiquetas",
+      "zones": "Zonas",
+      "cameras": "Câmaras",
+      "labels": "Etiquetas",
+      "search_type": "Tipo de pesquisa",
+      "time_range": "Intervalo de tempo",
+      "before": "Antes",
+      "after": "Depois",
+      "min_score": "Pontuação mínima",
+      "max_score": "Pontuação máxima",
+      "min_speed": "Velocidade mínima",
+      "max_speed": "Velocidade máxima",
+      "recognized_license_plate": "Matrícula reconhecida",
+      "has_clip": "Tem Clipe",
+      "has_snapshot": "Tem Captura de Imagem"
+    },
+    "searchType": {
+      "thumbnail": "Miniatura",
+      "description": "Descrição"
+    },
+    "header": {
+      "noFilters": "Filtros",
+      "activeFilters": "Filtros ativos",
+      "currentFilterType": "Valores de filtro"
+    },
+    "tips": {
+      "desc": {
+        "text": "Os filtros ajudam você a restringir os resultados da sua pesquisa. Veja como usá-los no campo de entrada:",
+        "example": "Exemplo: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"> <li>Digite um nome de filtro seguido de dois pontos (ex: \"cameras:\").</li><li>Selecione um valor entre as sugestões ou digite o seu próprio.</li><li>Use múltiplos filtros adicionando-os um após o outro com um espaço entre eles.</li> <li>Filtros de data (before: e after:) usam o formato <em>{{DateFormat}}</em>.</li><li>O filtro de intervalo de tempo usa o formato <em>{{exampleTime}}</em>.</li><li>Remova filtros clicando no 'x' ao lado deles.</li></ul>",
+        "step1": "Digite um nome para o filtro seguido de dois pontos (exemplo \"camaras:\").",
+        "step2": "Selecione um valor entre as sugestões ou digite o seu próprio.",
+        "step3": "Use vários filtros adicionando-os um após o outro com um espaço entre eles.",
+        "step5": "O filtro de intervalo de tempo usa o formato {{exampleTime}}.",
+        "step6": "Remova os filtros clicando no 'x' ao lado deles.",
+        "step4": "Os filtros de data (antes: e depois:) utilizam o formato {{DateFormat}}.",
+        "exampleLabel": "Exemplo:"
+      },
+      "title": "Como usar filtros de texto"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "A data 'antes' deve ser posterior à data 'depois'.",
+        "minScoreMustBeLessOrEqualMaxScore": "O 'min_score' deve ser inferior ou igual ao 'max_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "O 'min_speed' deve ser inferior ou igual ao 'max_speed'.",
+        "afterDatebeEarlierBefore": "A data \"depois\" deve ser anterior à data \"antes\".",
+        "maxScoreMustBeGreaterOrEqualMinScore": "O 'max_score' deve ser maior ou igual ao 'min_score'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "O 'max_speed' deve ser maior ou igual ao 'min_speed'."
+      }
+    }
+  },
+  "placeholder": {
+    "search": "Pesquisar…"
+  },
+  "similaritySearch": {
+    "title": "Pesquisa de similaridade",
+    "active": "Busca de semelhança ativa",
+    "clear": "Pesquisa de semelhança clara"
+  }
+}
diff --git a/web/public/locales/pt/views/settings.json b/web/public/locales/pt/views/settings.json
new file mode 100644
index 000000000..f453e6a5b
--- /dev/null
+++ b/web/public/locales/pt/views/settings.json
@@ -0,0 +1,686 @@
+{
+  "documentTitle": {
+    "camera": "Configurações da câmera - Frigate",
+    "classification": "Configurações de classificação - Frigate",
+    "masksAndZones": "Editor de máscara e zona - Frigate",
+    "motionTuner": "Ajuste de movimento - Frigate",
+    "object": "Depuração - Frigate",
+    "authentication": "Configurações de autenticação - Frigate",
+    "general": "Configurações Gerais - Frigate",
+    "frigatePlus": "Configurações do Frigate+ - Frigate",
+    "default": "Configurações - Frigate",
+    "notifications": "Configuração de Notificações - Frigate",
+    "enrichments": "Configurações Avançadas - Frigate"
+  },
+  "menu": {
+    "ui": "UI",
+    "masksAndZones": "Máscaras / Zonas",
+    "cameras": "Configurações da câmara",
+    "classification": "Classificação",
+    "motionTuner": "Ajuste de movimento",
+    "debug": "Depuração",
+    "users": "Utilizadores",
+    "notifications": "Notificações",
+    "frigateplus": "Frigate+",
+    "enrichments": "Avançado"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Você tem alterações não salvas.",
+      "desc": "Deseja salvar suas alterações antes de continuar?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Câmara",
+    "noCamera": "Sem câmara"
+  },
+  "general": {
+    "title": "Configurações gerais",
+    "liveDashboard": {
+      "title": "Painel ao vivo",
+      "automaticLiveView": {
+        "label": "Visualização ao vivo automática",
+        "desc": "Alternar automaticamente para a visualização ao vivo de uma câmara quando uma atividade for detectada. Desativar esta opção faz com que as imagens estáticas das câmaras no painel Ao Vivo sejam atualizadas apenas uma vez por minuto."
+      },
+      "playAlertVideos": {
+        "label": "Reproduzir vídeos de alerta",
+        "desc": "Por padrão, alertas recentes no painel ao vivo são reproduzidos como vídeos curtos em loop. Desative esta opção para mostrar apenas uma imagem estática dos alertas recentes neste dispositivo/navegador."
+      }
+    },
+    "calendar": {
+      "title": "Calendário",
+      "firstWeekday": {
+        "label": "Primeiro dia da semana",
+        "sunday": "Domingo",
+        "monday": "Segunda-feira",
+        "desc": "O dia em que as semanas do calendário de análise começam."
+      }
+    },
+    "storedLayouts": {
+      "title": "Layouts armazenados",
+      "desc": "O layout das câmaras em um grupo de câmaras pode ser arrastado/redimensionado. As posições são armazenadas no armazenamento local do seu navegador.",
+      "clearAll": "Limpar todos os layouts"
+    },
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "label": "Taxa de reprodução padrão",
+        "desc": "Taxa de reprodução padrão para a reprodução das gravações."
+      },
+      "title": "Visualizador de gravações"
+    },
+    "cameraGroupStreaming": {
+      "desc": "As configurações de transmissão de cada grupo de câmaras são armazenadas no armazenamento local do seu navegador.",
+      "title": "Configurações de transmissão do grupo de câmaras",
+      "clearAll": "Limpar todas as configurações de transmissão"
+    },
+    "toast": {
+      "success": {
+        "clearStreamingSettings": "Configurações de transmissão para todos os grupos de câmaras limpas.",
+        "clearStoredLayout": "Limpo layout armazenado para {{cameraName}}"
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Falha ao limpar o layout armazenado: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Falha ao limpar as configurações de transmissão: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "faceRecognition": {
+      "modelSize": {
+        "label": "Tamanho do modelo",
+        "small": {
+          "title": "pequeno",
+          "desc": "Usar <em>pequeno</em> utiliza um modelo de incorporação facial FaceNet que é eficiente na maioria dos CPUs."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> utiliza um modelo de incorporação facial ArcFace e será executado automaticamente na GPU, se aplicável."
+        },
+        "desc": "O tamanho do modelo utilizado para o reconhecimento facial."
+      },
+      "readTheDocumentation": "Leia a documentação",
+      "title": "Reconhecimento facial",
+      "desc": "O reconhecimento facial permite que pessoas sejam atribuídas a nomes e, quando o rosto delas for reconhecido, o Frigate atribuirá o nome da pessoa como um sub-rótulo. Essa informação é incluída na interface do usuário, filtros e também nas notificações."
+    },
+    "licensePlateRecognition": {
+      "readTheDocumentation": "Leia a documentação",
+      "title": "Reconhecimento de placas de veículo",
+      "desc": "O Frigate pode reconhecer placas de veículos e adicionar automaticamente os caracteres detectados ao campo placa_de_veículo_reconhecida ou um nome conhecido como sub_rótulo para objetos do tipo carro. Um caso de uso comum pode ser ler as placas de veículos que entram em uma garagem ou os carros que passam por uma rua."
+    },
+    "semanticSearch": {
+      "readTheDocumentation": "Leia a documentação",
+      "title": "Pesquisa semântica",
+      "reindexNow": {
+        "label": "Reindexar agora",
+        "desc": "A reindexação irá regenerar as incorporações de todos os objetos rastreados. Esse processo é executado em segundo plano e pode sobrecarregar seu CPU e levar um bom tempo, dependendo do número de objetos rastreados que você possui.",
+        "confirmTitle": "Confirmar reindexação",
+        "confirmDesc": "Você tem certeza de que deseja reindexar todos as incorporações dos objetos rastreados? Esse processo será executado em segundo plano, mas pode sobrecarregar seu CPU e levar um bom tempo. Você pode acompanhar o progresso na página Explorar.",
+        "confirmButton": "Reindexar",
+        "alreadyInProgress": "A reindexação já está em andamento.",
+        "error": "Falha ao iniciar a reindexação: {{errorMessage}}",
+        "success": "Reindexação iniciada com sucesso."
+      },
+      "modelSize": {
+        "label": "Tamanho do modelo",
+        "desc": "O tamanho do modelo utilizado para as incorporações de pesquisa semântica.",
+        "small": {
+          "title": "pequeno",
+          "desc": "Usar <em>pequeno</em> utiliza uma versão quantizada do modelo, que usa menos RAM e executa mais rápido no CPU, com uma diferença insignificante na qualidade da incorporação."
+        },
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> utiliza o modelo completo do Jina e será executado automaticamente na GPU, se aplicável."
+        }
+      },
+      "desc": "A Pesquisa Semântica no Frigate permite que você encontre objetos rastreados dentro dos itens de revisão usando a imagem em si, uma descrição de texto definida pelo usuário ou uma descrição gerada automaticamente."
+    },
+    "title": "Configurações de classificação",
+    "toast": {
+      "success": "As configurações de classificação foram salvas. Reinicie o Frigate para aplicar as alterações.",
+      "error": "Falha ao salvar as alterações de configuração: {{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "Classificação de Pássaros",
+      "desc": "A classificação de aves/pássaros identifica aves conhecidas usando um modelo Tensorflow quantizado. Quando uma ave/ pássaro conhecida(o) for reconhecida(o), o seu nome comum será adicionado como um sub_rótulo. Estas informações estão incluídas na interface do utilizador, nos filtros e também nas notificações."
+    },
+    "restart_required": "Reinício necessário (configurações de classificação alteradas)",
+    "unsavedChanges": "Alterações nas configurações de Classificação não estão salvas"
+  },
+  "notification": {
+    "globalSettings": {
+      "title": "Configurações globais",
+      "desc": "Suspenda temporariamente as notificações para câmaras específicas em todos os dispositivos registados."
+    },
+    "notificationSettings": {
+      "documentation": "Leia a documentação",
+      "title": "Configurações de notificação",
+      "desc": "O Frigate pode enviar notificações push para o seu dispositivo quando está a ser executado no browser ou instalado como um PWA."
+    },
+    "notificationUnavailable": {
+      "documentation": "Leia a documentação",
+      "title": "Notificações indisponíveis",
+      "desc": "As notificações push da Web exigem um contexto seguro (<code>https://…</code>). Esta é uma limitação do navegador. Acesse o Frigate com segurança para usar as notificações."
+    },
+    "cameras": {
+      "title": "Câmaras",
+      "noCameras": "Nenhuma câmara disponível",
+      "desc": "Selecione para que câmaras as notificações serão ativadas."
+    },
+    "deviceSpecific": "Configurações específicas do dispositivo",
+    "registerDevice": "Registe este dispositivo",
+    "email": {
+      "placeholder": "por exemplo: exemplo@email.com",
+      "desc": "É necessário um e-mail válido que será utilizado para o notificar caso haja algum problema com o serviço push.",
+      "title": "E-mail"
+    },
+    "title": "Notificações",
+    "unregisterDevice": "Cancelar o registro deste dispositivo",
+    "suspendTime": {
+      "5minutes": "Suspender por 5 minutos",
+      "1hour": "Suspender por 1 hora",
+      "12hours": "Suspender por 12 horas",
+      "untilRestart": "Suspender até reiniciar",
+      "10minutes": "Suspender por 10 minutos",
+      "suspend": "Suspender",
+      "30minutes": "Suspender por 30 minutos",
+      "24hours": "Suspender por 24 horas"
+    },
+    "cancelSuspension": "Cancelar Suspensão",
+    "toast": {
+      "success": {
+        "registered": "Registo para notificações concluído com sucesso. É necessário reiniciar o Frigate antes que qualquer notificação (incluindo uma notificação de teste) possa ser enviada.",
+        "settingSaved": "As configurações de notificação foram salvas."
+      },
+      "error": {
+        "registerFailed": "Falha ao guardar o registo das notificações."
+      }
+    },
+    "sendTestNotification": "Envie uma notificação de teste",
+    "active": "Notificações ativas",
+    "suspended": "Notificações suspensas {{time}}",
+    "unsavedRegistrations": "Registros de notificação não salvos",
+    "unsavedChanges": "Registros de notificação não salvos"
+  },
+  "frigatePlus": {
+    "snapshotConfig": {
+      "documentation": "Leia a documentação",
+      "table": {
+        "snapshots": "Snapshots",
+        "camera": "Câmara",
+        "cleanCopySnapshots": "<code>clean_copy</code> Snapshots"
+      },
+      "title": "Configuração de snapshots",
+      "desc": "O envio para o Frigate+ requer que tanto os snapshots quanto os snapshots <code>clean_copy</code> estejam habilitados na sua configuração.",
+      "cleanCopyWarning": "Algumas câmaras têm snapshots habilitados, mas a cópia limpa está desabilitada. É necessário habilitar <code>clean_copy</code> na sua configuração de snapshot para poder enviar imagens dessas câmaras para o Frigate+."
+    },
+    "toast": {
+      "success": "As definições do Frigate+ foram guardadas. Reinicie o Frigate para aplicar as alterações.",
+      "error": "Falha ao guardar alterações de configuração: {{errorMessage}}"
+    },
+    "modelInfo": {
+      "modelType": "Tipo de modelo",
+      "trainDate": "Data do treino",
+      "title": "Informações do modelo",
+      "error": "Falha ao carregar informações do modelo",
+      "availableModels": "Modelos Disponíveis",
+      "baseModel": "Modelo Básico",
+      "plusModelType": {
+        "userModel": "Ajuste-Fino",
+        "baseModel": "Modelo Básico"
+      },
+      "supportedDetectors": "Detectores Suportados",
+      "loading": "Carregando informações do modelo…",
+      "cameras": "Câmaras",
+      "loadingAvailableModels": "Carregando modelos disponíveis…",
+      "modelSelect": "Os modelos disponíveis no Frigate+ podem ser selecionados aqui. Observe que apenas modelos compatíveis com a configuração atual do seu detector podem ser selecionados."
+    },
+    "title": "Configurações Frigate+",
+    "apiKey": {
+      "validated": "A chave da API do Frigate+ foi detectada e validada",
+      "notValidated": "A chave da API do Frigate+ não foi detectada ou não foi validada",
+      "desc": "A chave de API do Frigate+ permite a integração com o serviço Frigate+.",
+      "plusLink": "Saiba mais sobre o Frigate+",
+      "title": "Chave de API do Frigate+"
+    },
+    "restart_required": "Reinicialização necessária (modelo Frigate+ alterado)",
+    "unsavedChanges": "Alterações nas configurações do Frigate+ não salvas"
+  },
+  "masksAndZones": {
+    "motionMasks": {
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "context": {
+        "documentation": "Leia a documentação",
+        "title": "As máscaras de movimento são usadas para impedir que tipos indesejados de movimento acionem a detecção (exemplo: galhos de árvores, carimbos de data/hora da câmera). As máscaras de movimento devem ser usadas <em>com moderação</em>, o uso excessivo de máscaras dificultará o rastreamento de objetos."
+      },
+      "polygonAreaTooLarge": {
+        "documentation": "Leia a documentação",
+        "tips": "As máscaras de movimento não impedem que objetos sejam detectados. Você deve usar uma zona obrigatória em vez disso.",
+        "title": "A máscara de movimento está cobrindo {{polygonArea}}% da área da câmara. Máscaras de movimento grandes não são recomendadas."
+      },
+      "label": "Máscara de movimento",
+      "desc": {
+        "documentation": "Documentação",
+        "title": "As máscaras de movimento são usadas para impedir que tipos indesejados de movimento acionem a detecção. O uso excessivo de máscaras dificultará o rastreamento de objetos."
+      },
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem.",
+      "toast": {
+        "success": {
+          "noName": "O filtro de movimento foi guardado. Reinicie o Frigate para aplicar as alterações.",
+          "title": "{{polygonName}} foi salvo. Reinicie o Frigate para aplicar as alterações."
+        }
+      },
+      "edit": "Editar Máscara de Movimento",
+      "documentTitle": "Editar Máscara de Movimento - Frigate",
+      "add": "Nova Máscara de Movimento"
+    },
+    "zones": {
+      "label": "Zonas",
+      "documentTitle": "Editar Zona - Frigate",
+      "desc": {
+        "documentation": "Documentação",
+        "title": "As zonas permitem definir uma área específica do quadro para que você possa determinar se um objeto está ou não dentro de uma área particular."
+      },
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "add": "Adicionar Zona",
+      "edit": "Editar Zona",
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem.",
+      "name": {
+        "title": "Nome",
+        "inputPlaceHolder": "Digite um nome…",
+        "tips": "O nome deve ter pelo menos 2 caracteres e não pode ser o nome de uma câmara ou de outra zona."
+      },
+      "inertia": {
+        "title": "Inércia",
+        "desc": "Especifica quantos quadros um objeto deve estar em uma zona antes de ser considerado dentro da zona. <em>Padrão: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Tempo de permanência",
+        "desc": "Define o tempo mínimo, em segundos, que o objeto deve permanecer na zona para que ela seja ativada. <em>Padrão: 0</em>"
+      },
+      "objects": {
+        "title": "Objetos",
+        "desc": "Lista de objetos que se aplicam a esta zona."
+      },
+      "allObjects": "Todos os objetos",
+      "speedEstimation": {
+        "title": "Estimativa de velocidade",
+        "desc": "Ativar estimativa de velocidade para objetos nesta zona. A zona deve ter exatamente 4 pontos.",
+        "docs": "Lê a documentação",
+        "lineBDistance": "Distância da Linha B ({{unit}})",
+        "lineCDistance": "Distância da Linha C ({{unit}})",
+        "lineDDistance": "Distância da Linha D ({{unit}})",
+        "lineADistance": "Distância da Linha A ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Limiar de velocidade ({{unit}})",
+        "desc": "Especifica uma velocidade mínima para que os objetos sejam considerados nesta zona.",
+        "toast": {
+          "error": {
+            "pointLengthError": "A estimativa de velocidade foi desativada para esta zona. Zonas com estimativa de velocidade devem ter exatamente 4 pontos.",
+            "loiteringTimeError": "Zonas com tempos de permanência maiores que 0 não devem ser usadas com estimativa de velocidade."
+          }
+        }
+      },
+      "toast": {
+        "success": "A zona ({{zoneName}}) foi salva. Reinicie o Frigate para aplicar as alterações."
+      }
+    },
+    "filter": {
+      "all": "Todas as Máscaras e Zonas"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coordenadas de {{polyName}} copiadas para a área de transferência."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Não foi possível copiar as coordenadas para a área de transferência."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "O nome da zona deve ter pelo menos 2 caracteres.",
+          "mustNotContainPeriod": "O nome da zona não pode conter pontos.",
+          "hasIllegalCharacter": "O nome da zona contém caracteres ilegais.",
+          "mustNotBeSameWithCamera": "O nome da zona não pode ser o mesmo que o nome da câmara.",
+          "alreadyExists": "Já existe uma zona com esse nome para esta câmara."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "A distância deve ser maior ou igual a 0,1.",
+          "mustBeFilled": "Todos os campos de distância devem ser preenchidos para usar a estimativa de velocidade."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "A inércia deve ser maior que 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "O tempo de permanência deve ser maior ou igual a 0."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Remover o último ponto",
+        "reset": {
+          "label": "Limpar todos os pontos"
+        },
+        "snapPoints": {
+          "true": "Fixar pontos",
+          "false": "Não fixar pontos"
+        },
+        "delete": {
+          "title": "Confirmar exclusão",
+          "success": "{{name}} foi excluído.",
+          "desc": "Você tem certeza de que deseja excluir o {{type}} <em>{{name}}</em>?"
+        },
+        "error": {
+          "mustBeFinished": "A criação do polígono deve ser concluída antes de salvar."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "O limiar de velocidade deve ser igual ou superior a 0,1."
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "Máscaras de objetos",
+      "clickDrawPolygon": "Clique para desenhar um polígono na imagem.",
+      "desc": {
+        "documentation": "Documentação",
+        "title": "As máscaras de filtro de objetos são usadas para filtrar falsos positivos para um determinado tipo de objeto com base na localização."
+      },
+      "point_one": "{{count}} ponto",
+      "point_many": "{{count}} pontos",
+      "point_other": "{{count}} pontos",
+      "objects": {
+        "allObjectTypes": "Todos os tipos de objeto",
+        "title": "Objetos",
+        "desc": "O tipo de objeto que se aplica a esta máscara de objeto."
+      },
+      "add": "Adicionar filtro para objecto",
+      "edit": "Editar filtro de objecto",
+      "documentTitle": "Editar filtro de movimento - Frigate",
+      "toast": {
+        "success": {
+          "noName": "A máscara de objeto foi salva. Reinicie o Frigate para aplicar as alterações.",
+          "title": "{{polygonName}} foi salvo. Reinicie o Frigate para aplicar as alterações."
+        }
+      },
+      "context": "As máscaras de filtro de objetos são usadas para filtrar falsos positivos para um determinado tipo de objeto com base na localização."
+    },
+    "restart_required": "É necessário reiniciar (máscaras/zonas alteradas)",
+    "motionMaskLabel": "Mascara movimento {{number}}",
+    "objectMaskLabel": "Mascara de objecto {{number}} ({{label}})"
+  },
+  "debug": {
+    "zones": {
+      "title": "Zonas",
+      "desc": "Mostrar um esboço de quaisquer zonas definidas"
+    },
+    "timestamp": {
+      "title": "Carimbo de hora",
+      "desc": "Sobrepor um carimbo de data/hora na imagem"
+    },
+    "title": "Depurar",
+    "detectorDesc": "O Frigate utiliza os seus detectores ({{detectors}}) para detectar objetos no fluxo de vídeo da sua câmara.",
+    "desc": "A vista de depuração apresenta uma vista em tempo real dos objetos localizados e das respectivas estatísticas. A lista de objetos apresenta um resumo dos objetos detectados em tempo real.",
+    "debugging": "A depurar",
+    "objectList": "Lista de Objetos",
+    "noObjects": "Sem Objetos",
+    "boundingBoxes": {
+      "title": "Caixas de contorno",
+      "desc": "Mostrar caixas de contorno à volta dos objetos seguidos",
+      "colors": {
+        "label": "Cores da caixa de contorno de objetos",
+        "info": "<li>Na inicialização, cores diferentes serão atribuídas a cada rótulo de objeto</li><li>Uma linha fina azul escura indica que o objeto não foi detectado neste momento</li><li>Uma linha fina cinza indica que o objeto foi detectado como estacionário</li><li>Uma linha grossa indica que o objeto está sujeito ao rastreamento automático (quando ativado)</li>"
+      }
+    },
+    "objectShapeFilterDrawing": {
+      "tips": "Habilite esta opção para desenhar um retângulo na imagem da câmara para mostrar sua área e proporção. Esses valores podem ser usados para definir parâmetros de filtro de formato de objeto na sua configuração.",
+      "document": "Leia a documentação ",
+      "score": "Pontuação",
+      "ratio": "Razão",
+      "area": "Area",
+      "desc": "Desenhe um retângulo na imagem para visualizar detalhes da área e da proporção",
+      "title": "Desenho de filtro de forma de objeto"
+    },
+    "regions": {
+      "title": "Regiões",
+      "desc": "Mostrar uma caixa da região de interesse enviada ao detector de objetos",
+      "tips": "<p><strong>Caixas de região</strong></p><br><p>Caixas verdes brilhantes serão sobrepostas em áreas de interesse no quadro que estão sendo enviadas ao detector de objetos.</p>"
+    },
+    "motion": {
+      "tips": "<p><strong>Caixas de movimento</strong></p><br><p>Caixas vermelhas serão sobrepostas em áreas do quadro onde o movimento está sendo detectado</p>",
+      "title": "Caixas de movimento",
+      "desc": "Mostrar caixas ao redor das áreas onde o movimento é detectado"
+    },
+    "mask": {
+      "title": "Máscaras de movimento",
+      "desc": "Mostrar polígonos de máscara de movimento"
+    }
+  },
+  "camera": {
+    "reviewClassification": {
+      "readTheDocumentation": "Leia a documentação",
+      "title": "Classificação da Análise",
+      "noDefinedZones": "Nenhuma zona está definida para esta câmara.",
+      "objectAlertsTips": "Todos os objetos {{alertsLabels}} na câmara {{cameraName}} serão exibidos como Alertas.",
+      "zoneObjectDetectionsTips": {
+        "text": "Todos os objetos {{detectionsLabels}} não categorizados na zona {{zone}} na câmara {{cameraName}} serão exibidos como Detecções.",
+        "regardlessOfZoneObjectDetectionsTips": "Todos os objetos {{detectionsLabels}} não categorizados na câmara {{cameraName}} serão exibidos como Detecções, independentemente da zona em que se encontram.",
+        "notSelectDetections": "Todos os objetos {{detectionsLabels}} detectados na zona {{zone}} na câmara {{cameraName}} que não forem categorizados como Alertas serão exibidos como Detecções, independentemente da zona em que se encontram."
+      },
+      "selectAlertsZones": "Selecionar zonas para Alertas",
+      "selectDetectionsZones": "Selecionar zonas para Detecções",
+      "limitDetections": "Limitar detecções a zonas específicas",
+      "desc": "O Frigate categoriza os itens de análise como Alertas e Detecções. Por padrão, todos os objetos do tipo <em>pessoa</em> e <em>carro</em> são considerados Alertas. Você pode refinar a categorização dos seus itens de análise configurando as zonas necessárias para eles.",
+      "objectDetectionsTips": "Todos os objetos {{detectionsLabels}} não categorizados na câmara {{cameraName}} serão exibidos como Detecções, independentemente da zona em que se encontram.",
+      "zoneObjectAlertsTips": "Todos os objetos {{alertsLabels}} detectados na zona {{zone}} na câmara {{cameraName}} serão exibidos como Alertas.",
+      "toast": {
+        "success": "A configuração de Classificação de análise foi salva. Reinicie o Frigate para aplicar as alterações."
+      },
+      "unsavedChanges": "Configurações de classificação de análises não salvas para {{camera}}"
+    },
+    "title": "Configurações da câmara",
+    "streams": {
+      "title": "Transmissões",
+      "desc": "Desativar uma câmara interrompe completamente o processamento das transmissões dessa câmara pelo Frigate. Detecção, gravação e depuração ficarão indisponíveis.<br /><em>Observação: Isso não desativa as retransmissões do go2rtc.</em>"
+    },
+    "review": {
+      "title": "Análise",
+      "desc": "Ative ou desative alertas e detecções para esta câmara. Quando desativado, nenhum novo item de análise será gerado. ",
+      "alerts": "Alertas ",
+      "detections": "Detecções "
+    }
+  },
+  "motionDetectionTuner": {
+    "contourArea": {
+      "title": "Área de contorno",
+      "desc": "O valor da área de contorno é usado para decidir quais grupos de pixels alterados são qualificados como movimento. <em>Valor padrão: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Melhorar o contraste",
+      "desc": "Melhorar o contraste para cenas mais escuras. <em>Defeito: ON</em>"
+    },
+    "Threshold": {
+      "title": "Limite",
+      "desc": "O valor do limiar determina quanto de alteração na luminância de um pixel é necessário para ser considerado movimento. <em>Valor padrão: 30</em>"
+    },
+    "desc": {
+      "title": "O Frigate utiliza a detecção de movimento como uma primeira verificação para ver se há algo acontecendo no quadro que valha a pena ser verificado com a detecção de objetos.",
+      "documentation": "Leia o Guia de Ajuste de Movimento"
+    },
+    "title": "Ajustador de Detecção de Movimento",
+    "unsavedChanges": "Alterações do Ajuste de Movimento não guardadas ({{camera}})",
+    "toast": {
+      "success": "Definições para Movimento foram salvas."
+    }
+  },
+  "enrichments": {
+    "faceRecognition": {
+      "desc": "O reconhecimento facial permite que as pessoas recebam nomes e, quando o rosto delas for reconhecido, o Frigate atribuirá o nome da pessoa como um subrótulo. Essas informações estão incluídas na interface do utilizador, nos filtros e nas notificações.",
+      "modelSize": {
+        "small": {
+          "desc": "O uso de <em>pequeno</em> emprega um modelo de incorporação facial do FaceNet que funciona eficientemente na maioria dos CPUs.",
+          "title": "pequeno"
+        },
+        "large": {
+          "desc": "O uso de <em>grande</em> emprega um modelo de incorporação de rostos do ArcFace e será executado automaticamente no GPU, se aplicável.",
+          "title": "grande"
+        },
+        "label": "Tamanho do modelo",
+        "desc": "O tamanho do modelo usado para reconhecimento facial."
+      },
+      "title": "Reconhecimento facial",
+      "readTheDocumentation": "Leia a documentação"
+    },
+    "semanticSearch": {
+      "modelSize": {
+        "small": {
+          "desc": "Usar <em>pequeno</em> emprega uma versão quantizada do modelo que usa menos RAM e roda mais rápido no CPU, com uma diferença muito insignificante na qualidade de incorporação.",
+          "title": "pequeno"
+        },
+        "label": "Tamanho do modelo",
+        "desc": "O tamanho do modelo usado para incorporações de pesquisa semântica.",
+        "large": {
+          "title": "grande",
+          "desc": "Usar <em>grande</em> emprega o modelo Jina completo e será executado automaticamente no GPU, se aplicável."
+        }
+      },
+      "reindexNow": {
+        "desc": "A reindexação regenerará os embeddings para todos os objetos rastreados. Esse processo é executado em segundo plano e pode sobrecarregar o seu CPU e levar um tempo considerável, dependendo do número de objetos rastreados.",
+        "label": "Reindexar agora",
+        "confirmTitle": "Confirmar reindexação",
+        "confirmDesc": "Tem certeza de que deseja reindexar todos os objetos incorporados rastreados? Este processo será executado em segundo plano, mas pode sobrecarregar o seu CPU e levar bastante tempo. Você pode acompanhar o progresso na página Explorar.",
+        "confirmButton": "Reindexar",
+        "success": "Reindexação iniciada com sucesso.",
+        "alreadyInProgress": "A reindexação já está em andamento.",
+        "error": "Falha ao iniciar a reindexação: {{errorMessage}}"
+      },
+      "desc": "A Pesquisa Semântica no Frigate permite que você encontre objetos rastreados dentro dos seus itens de análise usando a própria imagem, uma descrição de texto definida pelo utilizador ou uma gerada automaticamente.",
+      "readTheDocumentation": "Leia a documentação",
+      "title": "Busca semântica"
+    },
+    "licensePlateRecognition": {
+      "desc": "O Frigate pode reconhecer placas de veículos e adicionar automaticamente os caracteres detectados ao campo recognized_license_plate ou um nome conhecido como subrótulo para objetos do tipo carro. Um caso de uso comum pode ser a leitura de placas de carros entrando numa garagem ou de carros passando por uma rua.",
+      "title": "Reconhecimento de placas",
+      "readTheDocumentation": "Leia a documentação"
+    },
+    "birdClassification": {
+      "desc": "A classificação de aves identifica aves conhecidas usando um modelo quantizado do Tensorflow. Quando uma ave conhecida é reconhecida, seu nome comum é adicionado como um sub_label. Essas informações são incluídas na interface do utilizador, nos filtros e nas notificações.",
+      "title": "Classificação de aves"
+    },
+    "unsavedChanges": "Alterações nas configurações de enriquecimentos não salvos",
+    "title": "Configurações de enriquecimentos",
+    "restart_required": "Reinicialização necessária (configurações de enriquecimento alteradas)",
+    "toast": {
+      "success": "As configurações de enriquecimento foram salvas. Reinicie o Frigate para aplicar as alterações.",
+      "error": "Falha ao salvar alterações de configuração: {{errorMessage}}"
+    }
+  },
+  "users": {
+    "dialog": {
+      "changeRole": {
+        "roleInfo": {
+          "admin": "Administrador",
+          "adminDesc": "Acesso total a todos os recursos.",
+          "viewer": "Visualização",
+          "viewerDesc": "Limitado apenas a painéis ao vivo, análise, exploração e exportações.",
+          "intro": "Selecione a função apropriada para este utilizador:"
+        },
+        "title": "Alterar função do utilizador",
+        "desc": "Atualizar permissões para <strong>{{username}}</strong>",
+        "select": "Selecione uma função"
+      },
+      "deleteUser": {
+        "title": "Excluir utilizador",
+        "desc": "Esta ação não pode ser desfeita. Isso excluirá permanentemente a conta do utilizador e removerá todos os dados associados.",
+        "warn": "Tem certeza de que deseja excluir <strong>{{username}}</strong>?"
+      },
+      "form": {
+        "user": {
+          "title": "Nome de utilizador",
+          "desc": "Somente letras, números, pontos e sublinhados são permitidos.",
+          "placeholder": "Digite o nome de utilizador"
+        },
+        "password": {
+          "strength": {
+            "weak": "Fraco",
+            "medium": "Médio",
+            "strong": "Forte",
+            "title": "Força da senha: ",
+            "veryStrong": "Muito forte"
+          },
+          "notMatch": "As senhas não correspondem",
+          "title": "Senha",
+          "placeholder": "Digite a senha",
+          "confirm": {
+            "title": "Digite uma senha",
+            "placeholder": "Confirme sua senha"
+          },
+          "match": "Correspondência de senhas"
+        },
+        "newPassword": {
+          "title": "Nova Senha",
+          "placeholder": "Digite a nova senha",
+          "confirm": {
+            "placeholder": "Digite novamente a nova senha"
+          }
+        },
+        "usernameIsRequired": "O nome de utilizador é obrigatório",
+        "passwordIsRequired": "A senha é obrigatória"
+      },
+      "createUser": {
+        "title": "Criar novo utilizador",
+        "desc": "Adicione uma nova conta de utilizador e especifique uma função para acesso a áreas da interface do utilizador do Frigate.",
+        "usernameOnlyInclude": "O nome de utilizador pode incluir apenas letras, números, . ou _",
+        "confirmPassword": "Por favor confirme sua senha"
+      },
+      "passwordSetting": {
+        "setPassword": "Definir Senha",
+        "desc": "Crie uma senha forte para proteger esta conta.",
+        "updatePassword": "Atualizar senha para {{username}}",
+        "cannotBeEmpty": "A senha não pode ficar vazia",
+        "doNotMatch": "As senhas não correspondem"
+      }
+    },
+    "management": {
+      "desc": "Gestão de utilizadores desta instância do Frigate.",
+      "title": "Gestão de Utilizadores"
+    },
+    "table": {
+      "noUsers": "Nenhum utilizador encontrado.",
+      "password": "Senha",
+      "deleteUser": "Excluir utilizador",
+      "changeRole": "Alterar função do utilizador",
+      "username": "Nome de utilizador",
+      "actions": "Ações",
+      "role": "Papel"
+    },
+    "title": "Utilizadores",
+    "addUser": "Adicionar utilizador",
+    "updatePassword": "Atualizar senha",
+    "toast": {
+      "success": {
+        "createUser": "Utilizador {{user}} criado com sucesso",
+        "deleteUser": "Utilizador {{user}} excluído com sucesso",
+        "updatePassword": "Senha atualizada com sucesso.",
+        "roleUpdated": "Função atualizada para {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Falha ao salvar a senha: {{errorMessage}}",
+        "createUserFailed": "Falha ao criar utilizador: {{errorMessage}}",
+        "deleteUserFailed": "Falha ao excluir o utilizador: {{errorMessage}}",
+        "roleUpdateFailed": "Falha ao atualizar a função: {{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pt/views/system.json b/web/public/locales/pt/views/system.json
new file mode 100644
index 000000000..2826a9dd9
--- /dev/null
+++ b/web/public/locales/pt/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "storage": "Estatísticas de armazenamento - Frigate",
+    "general": "Estatísticas gerais - Frigate",
+    "enrichments": "Estatísticas de enriquecimento - Frigate",
+    "logs": {
+      "frigate": "Logs do Frigate - Frigate",
+      "go2rtc": "Logs do Go2RTC - Frigate",
+      "nginx": "Logs do Nginx - Frigate"
+    },
+    "cameras": "Estatísticas das câmaras - Frigate"
+  },
+  "title": "Sistema",
+  "metrics": "Métricas do sistema",
+  "logs": {
+    "type": {
+      "label": "Tipo",
+      "timestamp": "Carimbo de hora",
+      "tag": "Tag",
+      "message": "Mensagem"
+    },
+    "copy": {
+      "success": "Logs copiados para a área de transferência",
+      "label": "Copiar para a área de transferência",
+      "error": "Não foi possível copiar os logs para a área de transferência"
+    },
+    "download": {
+      "label": "Descarregar logs"
+    },
+    "tips": "Os logs estão a ser transmitidos do servidor",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Erro ao buscar logs: {{errorMessage}}",
+        "whileStreamingLogs": "Erro ao transmitir logs: {{errorMessage}}"
+      }
+    }
+  },
+  "storage": {
+    "cameraStorage": {
+      "camera": "Câmara",
+      "storageUsed": "Armazenamento",
+      "percentageOfTotalUsed": "Porcentagem do total",
+      "bandwidth": "Largura de banda",
+      "unused": {
+        "tips": "Este valor pode não representar com precisão o espaço livre disponível para o Frigate se você tiver outros ficheiros armazenados em sua unidade além das gravações do Frigate. O Frigate não rastreia o uso de armazenamento fora de suas gravações.",
+        "title": "Não utilizado"
+      },
+      "unusedStorageInformation": "Informações de armazenamento não utilizado",
+      "title": "Armazenamento da câmara"
+    },
+    "title": "Armazenamento",
+    "overview": "Visão geral",
+    "recordings": {
+      "title": "Gravações",
+      "earliestRecording": "Primeira gravação disponível:",
+      "tips": "Esse valor representa o armazenamento total usado pelas gravações na base de dados do Frigate. O Frigate não acompanha o uso de armazenamento de todos os ficheiros no seu disco."
+    }
+  },
+  "cameras": {
+    "title": "Câmaras",
+    "info": {
+      "video": "Vídeo:",
+      "unknown": "Desconhecido",
+      "error": "Erro: {{error}}",
+      "fetching": "Obtendo dados da câmara",
+      "resolution": "Resolução:",
+      "codec": "Codec:",
+      "fps": "FPS:",
+      "stream": "Transmissão {{idx}}",
+      "audio": "Áudio:",
+      "cameraProbeInfo": "{{camera}} Explorar informações da Camara",
+      "tips": {
+        "title": "Explorar informações da Camara"
+      },
+      "streamDataFromFFPROBE": "Os dados de transmissão são obtidos com <code>ffprobe</code>.",
+      "aspectRatio": "relação de aspeto"
+    },
+    "framesAndDetections": "Quadros / Detecções",
+    "label": {
+      "camera": "câmara",
+      "detect": "detectar",
+      "capture": "capturar",
+      "skipped": "ignorado",
+      "ffmpeg": "FFmpeg",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraFramesPerSecond": "quadros por segundo de {{camName}}",
+      "cameraCapture": "captura de {{camName}}",
+      "cameraDetectionsPerSecond": "detecções por segundo de {{camName}}",
+      "overallFramesPerSecond": "quadros por segundo totais (FPS)",
+      "overallDetectionsPerSecond": "detecções por segundo totais",
+      "overallSkippedDetectionsPerSecond": "detecções ignoradas por segundo totais",
+      "cameraDetect": "detecção de {{camName}}",
+      "cameraSkippedDetectionsPerSecond": "detecções ignoradas por segundo de {{camName}}"
+    },
+    "overview": "Visão geral",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Dados de Exploração copiados para a área de transferência."
+      },
+      "error": {
+        "unableToProbeCamera": "Não foi possível explorar a câmara: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Última atualização: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} tem alto uso de CPU FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} tem alto uso de CPU de detecção ({{detectAvg}}%)",
+    "healthy": "O sistema está saudável",
+    "reindexingEmbeddings": "Reindexando incorporações ({{processed}}% completo)",
+    "detectIsVerySlow": "{{detect}} está muito lento ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} está offline",
+    "detectIsSlow": "{{detect}} está lento ({{speed}} ms)"
+  },
+  "general": {
+    "title": "Geral",
+    "detector": {
+      "title": "Detectores",
+      "cpuUsage": "Utilização do CPU do Detector",
+      "memoryUsage": "Utilização da memória do Detector",
+      "inferenceSpeed": "Velocidade de Inferência do Detector",
+      "temperature": "Temperatura do Detector"
+    },
+    "hardwareInfo": {
+      "title": "Informações de hardware",
+      "gpuUsage": "Utilização GPU",
+      "gpuMemory": "Memória GPU",
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "driver": "Driver: {{driver}}",
+          "vbios": "Informação VBios: {{vbios}}",
+          "name": "Nome: {{name}}",
+          "cudaComputerCapability": "Capacidade de computação CUDA: {{cuda_compute}}",
+          "title": "Saída Nvidia SMI"
+        },
+        "copyInfo": {
+          "label": "Copiar informações do GPU"
+        },
+        "closeInfo": {
+          "label": "Fechar informações do GPU"
+        },
+        "toast": {
+          "success": "Informações do GPU copiadas para a área de transferência"
+        },
+        "vainfoOutput": {
+          "title": "Saída do Vainfo",
+          "returnCode": "Código de retorno: {{code}}",
+          "processOutput": "Saída do processo:",
+          "processError": "Erro no processo:"
+        }
+      },
+      "gpuEncoder": "GPU Encoder",
+      "gpuDecoder": "GPU Decoder",
+      "npuUsage": "Utilização NPU",
+      "npuMemory": "Memória NPU"
+    },
+    "otherProcesses": {
+      "title": "Outros processos",
+      "processCpuUsage": "Uso de CPU do processo",
+      "processMemoryUsage": "Uso de memória do processo"
+    }
+  },
+  "enrichments": {
+    "title": "Enriquecimentos",
+    "infPerSecond": "Inferências por segundo",
+    "embeddings": {
+      "image_embedding_speed": "Velocidade de incorporação de imagem",
+      "face_embedding_speed": "Velocidade de incorporação facial",
+      "plate_recognition_speed": "Velocidade de reconhecimento de placas",
+      "text_embedding_speed": "Velocidade de incorporação de texto",
+      "face_recognition_speed": "Velocidade de Reconhecimento Facial",
+      "plate_recognition": "Reconhecimento de Placas",
+      "image_embedding": "Incorporação de Imagem",
+      "text_embedding": "Incorporação de Texto",
+      "face_recognition": "Reconhecimento Facial",
+      "yolov9_plate_detection_speed": "Velocidade de Detecção de Placas YOLOv9",
+      "yolov9_plate_detection": "Detecção de Placas YOLOv9"
+    }
+  }
+}
diff --git a/web/public/locales/ro/audio.json b/web/public/locales/ro/audio.json
new file mode 100644
index 000000000..8221339db
--- /dev/null
+++ b/web/public/locales/ro/audio.json
@@ -0,0 +1,429 @@
+{
+  "gunshot": "Foc de arma",
+  "machine_gun": "Mitraliera",
+  "speech": "Vorbire",
+  "babbling": "Murmur",
+  "yell": "Striga",
+  "bellow": "Sub",
+  "dog": "Câine",
+  "horse": "Cal",
+  "bird": "Pasare",
+  "sheep": "Oaie",
+  "boat": "Barcă",
+  "motorcycle": "Motocicletă",
+  "bus": "Autobuz",
+  "train": "Tren",
+  "skateboard": "Skateboard",
+  "camera": "Camera foto",
+  "bicycle": "Bicicletă",
+  "car": "Mașină",
+  "cat": "Pisică",
+  "animal": "Animal",
+  "goat": "Capra",
+  "keyboard": "Orga",
+  "vehicle": "Vehicul",
+  "sink": "Chiuveta",
+  "scissors": "Foarfeca",
+  "hair_dryer": "Uscator de Par",
+  "door": "Usa",
+  "blender": "Blender",
+  "mouse": "Soarece",
+  "clock": "Ceas",
+  "toothbrush": "Periuta de Dinti",
+  "bark": "Latrat",
+  "burping": "Ragaie",
+  "hiccup": "Sughite",
+  "bass_drum": "Toba Bass",
+  "fart": "Basina",
+  "bell": "Clopotel",
+  "reggae": "Reggae",
+  "accordion": "Acordeon",
+  "trombone": "Trombon",
+  "punk_rock": "Punk rock",
+  "church_bell": "Clopot de biserica",
+  "sanding": "Slefuire",
+  "whispering": "Soapte",
+  "laughter": "Raset",
+  "crying": "Planset",
+  "choir": "Cor",
+  "singing": "Canta",
+  "whoop": "Tusi",
+  "yodeling": "Vocalize",
+  "snicker": "Chicotit",
+  "sigh": "Suspin",
+  "mantra": "Mantră",
+  "child_singing": "Cantec de copil",
+  "snoring": "Sforaie",
+  "whistling": "Fluiera",
+  "breathing": "Respira",
+  "cough": "Tuseste",
+  "throat_clearing": "Curata gatul",
+  "wheeze": "Gafaie",
+  "gasp": "Suspina",
+  "snort": "Horcaie",
+  "humming": "Fredoneaza",
+  "groan": "Geamat",
+  "grunt": "Mormait",
+  "pant": "Gafaie",
+  "sneeze": "stranuta",
+  "sniff": "Adulmeca",
+  "run": "Fuge",
+  "footsteps": "Pasi",
+  "chewing": "Mesteca",
+  "hands": "Maini",
+  "clapping": "Aplauda",
+  "heartbeat": "Batai inima",
+  "cheering": "Incurajeaza",
+  "applause": "Aplauda",
+  "crowd": "Multime",
+  "pets": "Animal de companie",
+  "purr": "Toarce",
+  "meow": "Miau",
+  "duck": "Rata",
+  "quack": "Mac",
+  "goose": "Gasca",
+  "wild_animals": "Animal Salbatic",
+  "cattle": "Vita",
+  "moo": "Muu",
+  "cowbell": "Clopot",
+  "pig": "Porc",
+  "oink": "Guit",
+  "chicken": "Gaina",
+  "cock_a_doodle_doo": "Cucurigu",
+  "turkey": "Curcan",
+  "roar": "Raget",
+  "chirp": "Cipcirit",
+  "pigeon": "Porumbel",
+  "crow": "Cioara",
+  "owl": "Bufnita",
+  "dogs": "Caini",
+  "rats": "Sobolani",
+  "insect": "Insecta",
+  "cricket": "Greier",
+  "mosquito": "Tantar",
+  "fly": "Musca",
+  "frog": "Broasca",
+  "snake": "Sarpe",
+  "music": "Muzica",
+  "musical_instrument": "Instrument Muzical",
+  "electric_guitar": "Chitara Electronica",
+  "guitar": "Chitara",
+  "bass_guitar": "Chitara Bass",
+  "acoustic_guitar": "Chitara Acustica",
+  "tapping": "Bataie",
+  "banjo": "Banjo",
+  "mandolin": "Mandolina",
+  "piano": "Pian",
+  "electric_piano": "Pian Electronic",
+  "synthesizer": "Sintetizator",
+  "percussion": "Percutie",
+  "drum_kit": "Tobe",
+  "drum": "Toba",
+  "tambourine": "Tamburina",
+  "gong": "Gong",
+  "orchestra": "Orchestră",
+  "trumpet": "Trompeta",
+  "violin": "Vioară",
+  "cello": "Violoncel",
+  "flute": "Flaut",
+  "saxophone": "Saxofon",
+  "clarinet": "Clarinet",
+  "harp": "Harpa",
+  "bicycle_bell": "Sonerie de bicicletă",
+  "tuning_fork": "Diapazon",
+  "harmonica": "Muzicuta",
+  "bagpipes": "Cimpoi",
+  "pop_music": "Muzica Pop",
+  "hip_hop_music": "Muzica Hip-Hop",
+  "rock_music": "Muzica Rock",
+  "heavy_metal": "Heavy metal",
+  "progressive_rock": "Rock Progresiv",
+  "rock_and_roll": "Rock and Roll",
+  "soul_music": "Muzica Soul",
+  "funk": "Funk",
+  "folk_music": "Muzica Folk",
+  "country": "Muzica Country",
+  "jazz": "Jazz",
+  "disco": "Muzica Disco",
+  "classical_music": "Muzica Clasica",
+  "opera": "Opera",
+  "electronic_music": "Muzica Electronica",
+  "house_music": "Muzica House",
+  "techno": "Muzica Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Electronică",
+  "electronic_dance_music": "Muzica de dans electronica",
+  "ambient_music": "Muzica Ambientala",
+  "trance_music": "Muzica Trance",
+  "music_of_latin_america": "Muzica Latino",
+  "salsa_music": "Salsa",
+  "flamenco": "Flamenco",
+  "blues": "Blues",
+  "vocal_music": "Muzica Vocala",
+  "a_capella": "A Capella",
+  "music_of_africa": "Muzica Africana",
+  "christian_music": "Muzica Crestina",
+  "gospel_music": "Muzica Gaspel",
+  "music_of_asia": "Muzica Asiatica",
+  "music_of_bollywood": "Muzica Bollywood",
+  "traditional_music": "Muzica Traditionala",
+  "song": "Cantec",
+  "background_music": "Muzica de fundal",
+  "theme_music": "Muzica Tematica",
+  "jingle": "Colind",
+  "lullaby": "Muzica de adormit copiii",
+  "christmas_music": "Colind",
+  "dance_music": "Muzica Dance",
+  "wedding_music": "Muzica de nunta",
+  "happy_music": "Muzica Vesela",
+  "sad_music": "Muzica Trista",
+  "wind": "Vant",
+  "rustling_leaves": "Fosnet de frunze",
+  "wind_noise": "Zgomot de vant",
+  "thunderstorm": "Furtuna",
+  "thunder": "Tunet",
+  "water": "Apa",
+  "rain": "Ploaie",
+  "raindrop": "Picaturi",
+  "waterfall": "Cascada",
+  "ocean": "Ocean",
+  "waves": "Valuri",
+  "steam": "Abur",
+  "fire": "Foc",
+  "rowboat": "Barca cu vasle",
+  "sailboat": "Barca cu panza",
+  "motorboat": "Barca cu motor",
+  "ship": "Vapor",
+  "motor_vehicle": "Autovehicul",
+  "toot": "claxon",
+  "car_alarm": "Alarma de mașină",
+  "power_windows": "Geamuri electrice",
+  "skidding": "Derapaj",
+  "tire_squeal": "Scartait de roti",
+  "car_passing_by": "Mașină în trecere",
+  "race_car": "Mașină de curse",
+  "truck": "Camion",
+  "air_horn": "claxon",
+  "ice_cream_truck": "Mașină de înghețată",
+  "police_car": "Mașină de poliție",
+  "ambulance": "Ambulanta",
+  "fire_engine": "Mașină de pompieri",
+  "traffic_noise": "Zgomot de trafic",
+  "train_wheels_squealing": "Scartait de roti de tren",
+  "subway": "Metrou",
+  "aircraft": "Aeronava",
+  "aircraft_engine": "Motor de avion",
+  "jet_engine": "Motor cu reactie",
+  "propeller": "Elice",
+  "helicopter": "Elicopter",
+  "fixed-wing_aircraft": "Aeronava cu aripi fixe",
+  "engine": "Motor",
+  "lawn_mower": "Mașină de tuns iarba",
+  "chainsaw": "Drujba",
+  "engine_starting": "Pornire motor",
+  "idling": "Relanti",
+  "accelerating": "Accelerare",
+  "doorbell": "Sonerie",
+  "sliding_door": "Usa culisanta",
+  "slam": "Trantit",
+  "dishes": "Vase",
+  "cutlery": "Tacamuri",
+  "chopping": "Tocare",
+  "frying": "Prajire",
+  "microwave_oven": "Cuptor cu microunde",
+  "water_tap": "Robine",
+  "bathtub": "Cada",
+  "toilet_flush": "Tras apa",
+  "electric_toothbrush": "Periuta de dinti electronica",
+  "vacuum_cleaner": "Aspirator",
+  "keys_jangling": "Zornait de chei",
+  "coin": "Moneda",
+  "zipper": "Fermoar",
+  "electric_shaver": "Aparat de ras electric",
+  "shuffling_cards": "Amestecat de carti",
+  "typing": "Scrie",
+  "typewriter": "Mașină de scris",
+  "computer_keyboard": "Tastatura",
+  "writing": "Scrie",
+  "alarm": "Alarma",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Sonerie de telefon",
+  "ringtone": "Ton de apel",
+  "dial_tone": "Ton",
+  "busy_signal": "Ocupat",
+  "alarm_clock": "Alarma de trezire",
+  "siren": "Sirena",
+  "smoke_detector": "Detector de fum",
+  "fire_alarm": "Alarma de incendiu",
+  "foghorn": "Sirena de ceata",
+  "whistle": "Fluierat",
+  "mechanisms": "Mecanism",
+  "gears": "Rotite",
+  "pulleys": "Scripeti",
+  "sewing_machine": "Mașină de cusut",
+  "mechanical_fan": "Ventilator mecanic",
+  "air_conditioning": "Aer Conditionat",
+  "printer": "Imprimanta",
+  "tools": "Unelte",
+  "hammer": "Ciocan",
+  "jackhammer": "Picamer",
+  "sawing": "Taiere",
+  "filing": "Umplere",
+  "power_tool": "Scule Electrice",
+  "drill": "Gaurire",
+  "explosion": "Explozie",
+  "artillery_fire": "Foc de artilerie",
+  "cap_gun": "Pistol cu capse",
+  "fireworks": "Foc de artificii",
+  "firecracker": "Pocnitoare",
+  "burst": "Izbucni",
+  "eruption": "Eruptie",
+  "boom": "Bum",
+  "wood": "Lemn",
+  "chop": "Reteza",
+  "splinter": "Aschie",
+  "crack": "Crapa",
+  "glass": "Geam",
+  "chink": "Fisura",
+  "shatter": "Sparge",
+  "silence": "Liniste",
+  "sound_effect": "Efect sonor",
+  "environmental_noise": "Zgomot de fundal",
+  "static": "Electrostatice",
+  "white_noise": "Zgomot alb",
+  "television": "Televizor",
+  "radio": "Radio",
+  "scream": "Tipa",
+  "chant": "Cântec",
+  "synthetic_singing": "Cântat sintetic",
+  "rapping": "Rap",
+  "shuffle": "Amestecă",
+  "biting": "Mușcare",
+  "gargling": "Gargară",
+  "stomach_rumble": "Gâdilitură stomacală",
+  "finger_snapping": "Pocnit din degete",
+  "heart_murmur": "Murmur inimă",
+  "chatter": "Conversații",
+  "children_playing": "Joacă copii",
+  "yip": "Lătrat",
+  "howl": "Urlet",
+  "bow_wow": "Ham-ham",
+  "growling": "Mârâit",
+  "whimper_dog": "Scheunat de câine",
+  "hiss": "Suflat",
+  "caterwaul": "Mieunat",
+  "livestock": "Animale de fermă",
+  "clip_clop": "Zgomot copite",
+  "neigh": "Nechezat",
+  "bleat": "Bâzâit",
+  "fowl": "Sunet păsări de curte",
+  "cluck": "Cotcodăcit",
+  "gobble": "Clocotit",
+  "honk": "Claxon",
+  "roaring_cats": "Răget",
+  "squawk": "Cârâit",
+  "coo": "Guguștiuc",
+  "caw": "Croncănit",
+  "hoot": "Huhuială",
+  "flapping_wings": "Fluturare aripi",
+  "patter": "Picurare",
+  "buzz": "Zumzăit",
+  "croak": "Orăcăit",
+  "rattle": "Zdrăngănit",
+  "whale_vocalization": "Vocalizare balenă",
+  "plucked_string_instrument": "Instrument cu corzi ciupite",
+  "steel_guitar": "Chitară cu bară metalică",
+  "strum": "Strângerea coardelor",
+  "sitar": "Sitar",
+  "zither": "Ziteră",
+  "ukulele": "Ukulele",
+  "organ": "Orgă",
+  "electronic_organ": "Orgă electronică",
+  "hammond_organ": "Orgă Hammond",
+  "sampler": "Eșantionator",
+  "harpsichord": "Clavecin",
+  "drum_machine": "Mașină de tobe",
+  "snare_drum": "Tobă mică",
+  "rimshot": "Bătaie pe tobă",
+  "drum_roll": "Rulou de tobe",
+  "timpani": "Timpane",
+  "tabla": "Tabla",
+  "cymbal": "Cinele",
+  "hi_hat": "Hi-Hat",
+  "wood_block": "Bloc de lemn",
+  "tubular_bells": "Clopote tubulare",
+  "mallet_percussion": "Percuție cu Baghete",
+  "marimba": "Marimbă",
+  "glockenspiel": "Glockenspiel",
+  "maraca": "Maracă",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Steelpan",
+  "brass_instrument": "Instrument de alamă",
+  "french_horn": "Corn francez",
+  "bowed_string_instrument": "Instrument cu corzi cu arcuș",
+  "string_section": "Sectiunea corzi",
+  "pizzicato": "Pizzicato",
+  "double_bass": "Contrabas",
+  "wind_instrument": "Instrument de suflat",
+  "jingle_bell": "Zurgălău",
+  "chime": "Clopoțel",
+  "wind_chime": "Clopoțel de vânt",
+  "didgeridoo": "Didgeridoo",
+  "theremin": "Theremin",
+  "singing_bowl": "Bol cântător",
+  "scratching": "Zgâriere",
+  "beatboxing": "Beatboxing",
+  "grunge": "Grunge",
+  "psychedelic_rock": "Rock psihedelic",
+  "rhythm_and_blues": "R&B",
+  "swing_music": "Muzică swing",
+  "bluegrass": "Bluegrass",
+  "middle_eastern_music": "Muziă din Orientul mijlociu",
+  "music_for_children": "Muzică penru copii",
+  "new-age_music": "Muzică New Age",
+  "afrobeat": "Afrobeat",
+  "carnatic_music": "Muzică carnatică",
+  "ska": "Ska",
+  "independent_music": "Muzică independentă",
+  "soundtrack_music": "Muzica soundtrack",
+  "video_game_music": "Muzică de jocuri video",
+  "tender_music": "Muzică tandră",
+  "exciting_music": "Muzică antrenantă",
+  "angry_music": "Muzică furioasă",
+  "scary_music": "Muzică de speriat",
+  "rain_on_surface": "Ploaie pe suprafață",
+  "stream": "Stream",
+  "gurgling": "Gâlgâit",
+  "crackle": "Trosnet",
+  "air_brake": "Frână pneumatică",
+  "reversing_beeps": "Bipuri de mers înapoi",
+  "emergency_vehicle": "Vehicul de urgență",
+  "rail_transport": "Transportul feroviar",
+  "train_whistle": "Fluier tren",
+  "train_horn": "Goarnă tren",
+  "railroad_car": "Vagon",
+  "light_engine": "Motor ușor",
+  "dental_drill's_drill": "Burghiu dentar",
+  "medium_engine": "Motor mediu",
+  "heavy_engine": "Motor greu",
+  "engine_knocking": "Bătăi ale motorului",
+  "ding-dong": "Ding-Dong",
+  "knock": "Cioc-cioc",
+  "tap": "Apasă",
+  "squeak": "Screchet",
+  "cupboard_open_or_close": "Ușă dulap deschisă sau închisă",
+  "drawer_open_or_close": "Sertar deschis sau închis",
+  "telephone_dialing": "Formare apel telefonic",
+  "civil_defense_siren": "Sirena de apărare civilă",
+  "buzzer": "Buzzer",
+  "steam_whistle": "Fluier cu aburi",
+  "ratchet": "Clichet",
+  "tick": "Tic-tac",
+  "tick-tock": "Tic-tac",
+  "cash_register": "Casa de marcat",
+  "single-lens_reflex_camera": "Cameră reflex cu un singur obiectiv",
+  "fusillade": "descărcare de focuri",
+  "pink_noise": "Zgomot roz",
+  "field_recording": "Înregistrare pe teren"
+}
diff --git a/web/public/locales/ro/common.json b/web/public/locales/ro/common.json
new file mode 100644
index 000000000..145d511a4
--- /dev/null
+++ b/web/public/locales/ro/common.json
@@ -0,0 +1,265 @@
+{
+  "time": {
+    "untilForTime": "Până la {{time}}",
+    "untilForRestart": "Pana la repornirea Frigate.",
+    "untilRestart": "Pana la repornire",
+    "ago": "{{timeAgo}} în urmă",
+    "justNow": "Acum",
+    "today": "Astăzi",
+    "yesterday": "Ieri",
+    "last7": "Ultimele 7 zile",
+    "last14": "Ultimele 14 zile",
+    "last30": "Ultimele 30 de zile",
+    "thisWeek": "Săptămâna aceasta",
+    "lastWeek": "Săptămâna trecută",
+    "thisMonth": "Luna aceasta",
+    "lastMonth": "Luna trecută",
+    "5minutes": "5 minute",
+    "10minutes": "10 minute",
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyy"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "30minutes": "30 de minute",
+    "1hour": "O oră",
+    "12hours": "12 ore",
+    "24hours": "24 de ore",
+    "pm": "PM",
+    "am": "AM",
+    "mo": "{{time}}lună",
+    "yr": "{{time}}an",
+    "year_one": "{{time}} an",
+    "year_few": "{{time}} ani",
+    "year_other": "{{time}} de ani",
+    "d": "{{time}}z",
+    "h": "{{time}}o",
+    "m": "{{time}}m",
+    "s": "{{time}}s",
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "month_one": "{{time}} lună",
+    "month_few": "{{time}} luni",
+    "month_other": "{{time}} de luni",
+    "day_one": "{{time}} zi",
+    "day_few": "{{time}} zile",
+    "day_other": "{{time}} de zile",
+    "hour_one": "{{time}} oră",
+    "hour_few": "{{time}} ore",
+    "hour_other": "{{time}} de ore",
+    "minute_one": "{{time}} minut",
+    "minute_few": "{{time}} minute",
+    "minute_other": "{{time}} de minute",
+    "second_one": "{{time}} secundă",
+    "second_few": "{{time}} secunde",
+    "second_other": "{{time}} de secunde"
+  },
+  "menu": {
+    "documentation": {
+      "title": "Documentație",
+      "label": "Documentație Frigate"
+    },
+    "explore": "Căutare",
+    "uiPlayground": "UI Playground",
+    "faceLibrary": "Biblioteca de fețe",
+    "export": "Exportă",
+    "language": {
+      "ca": "Català (Catalană)",
+      "withSystem": {
+        "label": "Utilizează setările de limbă ale sistemului"
+      },
+      "ja": "日本語 (Japoneză)",
+      "fa": "فارسی (Persiană)",
+      "pl": "Polski (Poloneză)",
+      "uk": "Українська (Ucrainiană)",
+      "he": "עברית (Ebraică)",
+      "yue": "粵語 (Cantoneză)",
+      "en": "English (Engleză)",
+      "de": "Deutsch (Germană)",
+      "es": "Español (Spaniolă)",
+      "zhCN": "简体中文 (Chineză simplificată)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (Franceză)",
+      "ar": "العربية (Arabă)",
+      "pt": "Português (Portugheză)",
+      "ru": "Русский (Rusă)",
+      "tr": "Türkçe (Turcă)",
+      "it": "Italiano (Italiană)",
+      "nl": "Nederlands (Olandeză)",
+      "sv": "Svenska (Suedeză)",
+      "cs": "Čeština (Cehă)",
+      "nb": "Norsk Bokmål (Norvegiană Bokmål)",
+      "ko": "한국어 (Coreană)",
+      "vi": "Tiếng Việt (Vietnameză)",
+      "da": "Dansk (Daneză)",
+      "sk": "Slovenčina (Slovacă)",
+      "el": "Ελληνικά (Greacă)",
+      "ro": "Română (Română)",
+      "hu": "Magyar (Maghiară)",
+      "fi": "Suomi (Finlandeză)",
+      "th": "ไทย (Thailandeză)"
+    },
+    "theme": {
+      "default": "Implicit",
+      "highcontrast": "Contrast ridicat",
+      "label": "Temă",
+      "blue": "Albastru",
+      "green": "Verde",
+      "nord": "Nord",
+      "red": "Roșu"
+    },
+    "user": {
+      "title": "Utilizator",
+      "account": "Cont",
+      "current": "Utilizator actual: {{user}}",
+      "logout": "Deconectare",
+      "anonymous": "anonim",
+      "setPassword": "Schimă parola"
+    },
+    "live": {
+      "cameras": {
+        "count_one": "{{count}} cameră",
+        "count_few": "{{count}} camere",
+        "count_other": "{{count}} de camere",
+        "title": "Camere"
+      },
+      "title": "Live",
+      "allCameras": "Toate camerele"
+    },
+    "help": "Ajutor",
+    "system": "Sistem",
+    "systemMetrics": "Metrici de sistem",
+    "configuration": "Configurație",
+    "systemLogs": "Jurnale de sistem",
+    "settings": "Setări",
+    "configurationEditor": "Editor de configurație",
+    "languages": "Limba",
+    "appearance": "Aspect",
+    "darkMode": {
+      "label": "Mod luminozitate",
+      "light": "Luminos",
+      "dark": "Întunecat",
+      "withSystem": {
+        "label": "Utilizează setările de sistem pentru modul luminos sau întunecat"
+      }
+    },
+    "withSystem": "Modul sistemului",
+    "restart": "Repornește Frigate",
+    "review": "Revizuire"
+  },
+  "button": {
+    "cameraAudio": "Sunet cameră",
+    "apply": "Aplică",
+    "reset": "Resetare",
+    "done": "Gata",
+    "enabled": "Activat",
+    "copyCoordinates": "Copiază coordonate",
+    "on": "PORNIT",
+    "off": "OPRIT",
+    "edit": "Editează",
+    "delete": "Șterge",
+    "yes": "Da",
+    "no": "Nu",
+    "download": "Descarcă",
+    "info": "Informații",
+    "enable": "Activează",
+    "twoWayTalk": "Conversație bidirecțională",
+    "disabled": "Dezactivat",
+    "disable": "Dezactivează",
+    "save": "Salvează",
+    "saving": "Se salvează…",
+    "cancel": "Renunță",
+    "close": "Închide",
+    "copy": "Copiază",
+    "back": "Înapoi",
+    "history": "Istorie",
+    "fullscreen": "Ecran complet",
+    "exitFullscreen": "ieși din ecran complet",
+    "pictureInPicture": "Imagine în imagine",
+    "suspended": "Suspendat",
+    "unsuspended": "Nesuspendat",
+    "play": "Redă",
+    "unselect": "Deselectează",
+    "export": "Exportă",
+    "deleteNow": "Șterge acum",
+    "next": "Următorul"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mile/h",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "picioare",
+      "meters": "metri"
+    }
+  },
+  "label": {
+    "back": "Mergi înapoi"
+  },
+  "selectItem": "Selectează {{item}}",
+  "pagination": {
+    "label": "paginare",
+    "next": {
+      "label": "Mergi la pagina următoare",
+      "title": "Următor"
+    },
+    "previous": {
+      "title": "Anterior",
+      "label": "Meri la pagina anterioară"
+    },
+    "more": "Mai multe pagini"
+  },
+  "role": {
+    "viewer": "Vizualizator",
+    "desc": "Administratorii au acces complet la toate funcționalitățile din interfața Frigate. Vizualizatorii sunt limitați la vizualizarea camerelor, a elementelor de revizuire și a înregistrărilor istorice în interfață.",
+    "admin": "Administrator",
+    "title": "Rol"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL-ul a fost copiat.",
+    "save": {
+      "title": "Salvează",
+      "error": {
+        "noMessage": "Nu s-au putut salva modificările de configurație",
+        "title": "Salvarea modificărilor de configurație a eșuat: {{errorMessage}}"
+      }
+    }
+  },
+  "accessDenied": {
+    "title": "Acces refuzat",
+    "desc": "Nu ai permisiunea să vizualizezi această pagină.",
+    "documentTitle": "Acces refuzat - Frigate"
+  },
+  "notFound": {
+    "documentTitle": "Nu a fost găsit - Frigate",
+    "title": "404",
+    "desc": "Pagină negăsită"
+  }
+}
diff --git a/web/public/locales/ro/components/auth.json b/web/public/locales/ro/components/auth.json
new file mode 100644
index 000000000..4fa303853
--- /dev/null
+++ b/web/public/locales/ro/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Nume utilizator",
+    "password": "Parola",
+    "login": "Logare",
+    "errors": {
+      "passwordRequired": "Parola este necesara",
+      "rateLimit": "Limita a fost depasita. Reincearca mai tarziu.",
+      "loginFailed": "Logare esuata",
+      "webUnknownError": "Eroare necunoscuta. Verifica logurile din consola.",
+      "usernameRequired": "Utilizatorul este necesar",
+      "unknownError": "Eroare necunoscuta. Verifica logurile."
+    }
+  }
+}
diff --git a/web/public/locales/ro/components/camera.json b/web/public/locales/ro/components/camera.json
new file mode 100644
index 000000000..d93a81dcc
--- /dev/null
+++ b/web/public/locales/ro/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Grupuri de Camere",
+    "add": "Adaugă un grup de camere",
+    "edit": "Editează grupul de camere",
+    "delete": {
+      "label": "Șterge grupul de camere",
+      "confirm": {
+        "title": "Confirmă ștergerea",
+        "desc": "Ești sigur că dorești să ștergi grupul de camere <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nume",
+      "placeholder": "Introdu un nume…",
+      "errorMessage": {
+        "mustLeastCharacters": "Numele grupului de cmere trebuie să conțină minim 2 caractere.",
+        "exists": "Numele grupului de camere există deja.",
+        "nameMustNotPeriod": "Numele grupului de camere nu trebuie să conțină punct.",
+        "invalid": "Nume invalid pentru grupul de camere."
+      }
+    },
+    "cameras": {
+      "label": "Camere",
+      "desc": "Selectează camerele pentru acest grup."
+    },
+    "icon": "Pictograma",
+    "success": "Grupul de camere ({{name}}) a fost salvat.",
+    "camera": {
+      "setting": {
+        "label": "Setările de streaming ale camerei",
+        "title": "{{cameraName}} Setări de streaming",
+        "stream": "Stream",
+        "placeholder": "Alege un stream",
+        "desc": "Schimbă opțiunile de streaming live pentru panoul acestui grup de camere. <em>Aceste setări sunt specifice dispozitivului/browser-ului.</em>",
+        "audioIsUnavailable": "Sunetul nu este disponibil pentru acest stream",
+        "audioIsAvailable": "Sunetul este disponibil pentru acest stream",
+        "audio": {
+          "tips": {
+            "title": "Sunetul trebuie să fie redat de camera ta și configurat în go2rtc pentru acest stream.",
+            "document": "Citește documentația "
+          }
+        },
+        "streamMethod": {
+          "label": "Metoda de streaming",
+          "placeholder": "Alege o metodă de streaming",
+          "method": {
+            "noStreaming": {
+              "label": "Fără streaming",
+              "desc": "Imaginile camerelor se vor actualiza doar o dată pe minut și nu va exista streaming live."
+            },
+            "smartStreaming": {
+              "label": "Streaming Inteligent (recomandat)",
+              "desc": "Streaming-ul inteligent va actualiza imaginea camerei o dată pe minut când nu există activitate detectabilă, pentru a economisi trafic de date și resurse. Când se detectează activitate, imaginea trece la streaming live."
+            },
+            "continuousStreaming": {
+              "label": "Streaming continu",
+              "desc": {
+                "title": "Imaginea camerei va fi întotdeauna un stream live când este vizibilă pe panou, chiar dacă nu se detectează activitate.",
+                "warning": "Streaming-ul continuu poate provoca un consum mare de lățime de bandă și probleme de performanță. Folosește cu prudență."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "Mod compatibilitate",
+          "desc": "Activează această opțiune doar dacă stream-ul live al camerei afișează artefacte de culoare și are o linie diagonală pe partea dreaptă a imaginii."
+        }
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Setări",
+      "title": "Optiuni",
+      "showOptions": "Arata Optiuni",
+      "hideOptions": "Ascunde opțiunile"
+    },
+    "boundingBox": "Casetă de delimitare",
+    "timestamp": "Marcaj temporal",
+    "zones": "Zone",
+    "mask": "Mască",
+    "motion": "Mișcare",
+    "regions": "Regiuni"
+  }
+}
diff --git a/web/public/locales/ro/components/dialog.json b/web/public/locales/ro/components/dialog.json
new file mode 100644
index 000000000..c07b2cee0
--- /dev/null
+++ b/web/public/locales/ro/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "title": "Ești sigur că dorești să repornești Frigate?",
+    "button": "Repornește",
+    "restarting": {
+      "title": "Frigate repornește",
+      "content": "Această pagină se va reâncărca automat în {{countdown}} secunde.",
+      "button": "Forțează acum reîncărcarea"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "true": {
+          "label": "Confirma aceasta eticheta pentru Frigate Plus",
+          "true_one": "Asta e o {{label}}",
+          "true_few": "Astea sunt {{label}}",
+          "true_other": "Astea sunt {{label}}"
+        },
+        "false": {
+          "label": "Nu confirma aceasta eticheta pentru Frigate Plus",
+          "false_one": "Asta nu este  {{label}}",
+          "false_few": "Astea nu sunt {{label}}",
+          "false_other": "Astea nu sunt {{label}}"
+        },
+        "state": {
+          "submitted": "Trimis"
+        },
+        "question": {
+          "label": "Confirmă această etichetă pentru Frigate Plus",
+          "ask_a": "Este acest obiect un <code>{{label}}</code>?",
+          "ask_an": "Este acest obiect un <code>{{label}}</code>?",
+          "ask_full": "Este acest obiect un <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      },
+      "submitToPlus": {
+        "label": "Trimite catre Frigate+",
+        "desc": "Obiectele din locațiile pe care dorești să le eviți nu sunt false-pozitive. Marcarea lor ca false-pozitive va induce confuzie modelul."
+      }
+    },
+    "video": {
+      "viewInHistory": "Vezi în istoric"
+    }
+  },
+  "recording": {
+    "button": {
+      "deleteNow": "Șterge acum",
+      "export": "Exportă",
+      "markAsReviewed": "Marchează ca revizuit"
+    },
+    "confirmDelete": {
+      "toast": {
+        "success": "Înregistrările video asociate elementelor de revizuire selectate au fost șterse cu succes.",
+        "error": "Ștergerea a eșuat: {{error}}"
+      },
+      "title": "Confirmă ștergerea",
+      "desc": {
+        "selected": "Ești sigur că vrei să ștergi toate videoclipurile înregistrate asociate acestui element de revizuire?<br /><br />Ține apăsată tasta <em>Shift</em> pentru a sări peste această confirmare pe viitor."
+      }
+    }
+  },
+  "export": {
+    "time": {
+      "custom": "personalizat",
+      "fromTimeline": "Selectează din cronologie",
+      "lastHour_one": "Ultima oră",
+      "lastHour_few": "Ultimele {{count}} ore",
+      "lastHour_other": "Ultimele {{count}} ore",
+      "start": {
+        "title": "Ora de început",
+        "label": "Selectează ora de început"
+      },
+      "end": {
+        "title": "Oră terminare",
+        "label": "Selectează ora de terminare"
+      }
+    },
+    "name": {
+      "placeholder": "Denumește exportul"
+    },
+    "select": "Selectează",
+    "export": "Exportă",
+    "selectOrExport": "Selectează sau exportă",
+    "toast": {
+      "success": "Exportul a început cu succes. Vizualizați fișierul în dosarul /exports.",
+      "error": {
+        "failed": "Eroare la pornirea exportului: {{error}}",
+        "endTimeMustAfterStartTime": "Ora de sfârșit trebuie să fie după ora de început",
+        "noVaildTimeSelected": "Nu a fost selectat un interval de timp valid"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Salvează exportul",
+      "previewExport": "Previzualizează exportul"
+    }
+  },
+  "streaming": {
+    "label": "Stream",
+    "restreaming": {
+      "disabled": "Restreaming-ul nu este activat pentru această cameră.",
+      "desc": {
+        "title": "Configurează go2rtc pentru opțiuni suplimentare de vizualizare live și audio pentru această cameră.",
+        "readTheDocumentation": "Citește documentația"
+      }
+    },
+    "showStats": {
+      "label": "Afișează statistici streaming",
+      "desc": "Activează această opțiune pentru a afișa statisticile de streaming ca un overlay peste fluxul camerei."
+    },
+    "debugView": "Vizualizator depanare"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Salvează căutarea",
+      "desc": "Alege un nume pentru această căutare salvată.",
+      "placeholder": "Introdu un nume pentru căutarea ta",
+      "overwrite": "{{searchName}} există deja. Salvarea va suprascrie valoarea existentă.",
+      "success": "Căutarea ({{searchName}}) a fost salvată.",
+      "button": {
+        "save": {
+          "label": "Salvează această căutare"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ro/components/filter.json b/web/public/locales/ro/components/filter.json
new file mode 100644
index 000000000..40c0c593c
--- /dev/null
+++ b/web/public/locales/ro/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Filtru",
+  "labels": {
+    "label": "Etichete",
+    "all": {
+      "title": "Toate etichetele",
+      "short": "Etichete"
+    },
+    "count_one": "Etichetă {{count}}",
+    "count_other": "{{count}} etichete"
+  },
+  "dates": {
+    "selectPreset": "Selectează o presetare…",
+    "all": {
+      "title": "Toate datele",
+      "short": "Date"
+    }
+  },
+  "zones": {
+    "label": "Zone",
+    "all": {
+      "title": "Toate zonele",
+      "short": "Zone"
+    }
+  },
+  "reset": {
+    "label": "Resetează filtrele la valorile implicite"
+  },
+  "timeRange": "Interval de timp",
+  "subLabels": {
+    "label": "Sub-etichete",
+    "all": "Toate sub-etichetele"
+  },
+  "more": "Mai multe filtre",
+  "score": "Scor",
+  "estimatedSpeed": "Viteza estimată ({{unit}})",
+  "features": {
+    "label": "Caracteristici",
+    "hasSnapshot": "Are snapshot",
+    "hasVideoClip": "Are un videoclip",
+    "submittedToFrigatePlus": {
+      "label": "Trimis către Frigate+",
+      "tips": "Trebuie mai întâi să filtrezi obiectele urmărite care au un snapshot.<br /><br />Obiectele urmărite fără snapshot nu pot fi trimise către Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Sortează",
+    "dateAsc": "Dată (crescător)",
+    "dateDesc": "Dată (descrescător)",
+    "scoreAsc": "Scor obiect (crescător)",
+    "scoreDesc": "Scor obiect (descrescător)",
+    "speedAsc": "Viteză estimată (crescător)",
+    "speedDesc": "Viteză estimată (descrescător)",
+    "relevance": "Relevanță"
+  },
+  "cameras": {
+    "all": {
+      "short": "Camere",
+      "title": "Toate camerele"
+    },
+    "label": "Filtru camere"
+  },
+  "review": {
+    "showReviewed": "Afișează cele revizuite"
+  },
+  "motion": {
+    "showMotionOnly": "Afișează doar mișcarea"
+  },
+  "explore": {
+    "settings": {
+      "title": "Setări",
+      "defaultView": {
+        "title": "Vizualizare implicită",
+        "unfilteredGrid": "Grilă nefiltrată",
+        "desc": "Când nu sunt selectate filtre, afișează un rezumat al celor mai recente obiecte urmărite pentru fiecare etichetă sau afișează o grilă nefiltrată.",
+        "summary": "Sumar"
+      },
+      "gridColumns": {
+        "title": "Coloane grilă",
+        "desc": "Selectează numărul de coloane în vizualizarea grilă."
+      },
+      "searchSource": {
+        "label": "Sursa căutării",
+        "desc": "Alege dacă dorești să cauți în miniaturi sau în descrierile obiectelor urmărite.",
+        "options": {
+          "thumbnailImage": "Imagine miniatură",
+          "description": "Descriere"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Selectează o dată pentru filtrare"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtrează nivelul jurnalului",
+    "filterBySeverity": "Filtrează jurnalele după severitate",
+    "loading": {
+      "title": "Încărcare continuă",
+      "desc": "Când panoul de jurnale este derulat până jos, noile jurnale sunt afișate automat pe măsură ce sunt adăugate."
+    },
+    "disableLogStreaming": "Dezactivează încărcarea continuă",
+    "allLogs": "Toate jurnalele"
+  },
+  "trackedObjectDelete": {
+    "title": "Confirmă ștergerea",
+    "desc": "Ștergerea acestor {{objectLength}} obiecte urmărite elimină snapshot-ul, orice încorporări salvate și orice înregistrări asociate ciclului de viață al obiectului. Filmările înregistrate ale acestor obiecte urmărite în vizualizarea Istoric <em>NU</em> vor fi șterse. <br /><br />Ești sigur că dorești să continui?<br /><br />Țineți apăsată tasta <em>Shift</em> pentru a sări peste acest dialog în viitor.",
+    "toast": {
+      "success": "Obiectele urmărite au fost șterse cu succes.",
+      "error": "Ștergerea obiectelor urmărite a eșuat: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtrează după masca de zonă"
+  },
+  "recognizedLicensePlates": {
+    "title": "Numere de înmatriculare recunoscute",
+    "noLicensePlatesFound": "Nu s-au găsit plăcuțe de înmatriculare.",
+    "selectPlatesFromList": "Selectează una sau mai multe plăcuțe din listă.",
+    "loading": "Se încarcă numerele de înmatriculare recunoscute…",
+    "placeholder": "Caută plăcuțe de înmatriculare…",
+    "loadFailed": "Nu s-au putut încărca numerele de înmatriculare recunoscute."
+  }
+}
diff --git a/web/public/locales/ro/components/icons.json b/web/public/locales/ro/components/icons.json
new file mode 100644
index 000000000..0d8ee621d
--- /dev/null
+++ b/web/public/locales/ro/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Selectează o pictogramă",
+    "search": {
+      "placeholder": "Caută o pictogramă…"
+    }
+  }
+}
diff --git a/web/public/locales/ro/components/input.json b/web/public/locales/ro/components/input.json
new file mode 100644
index 000000000..8faa6219a
--- /dev/null
+++ b/web/public/locales/ro/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Descarca Video",
+      "toast": {
+        "success": "A inceput descarcarea clipului ce contine articolul revizuit."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ro/components/player.json b/web/public/locales/ro/components/player.json
new file mode 100644
index 000000000..bbd8ceab8
--- /dev/null
+++ b/web/public/locales/ro/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Nu au fost gasite inregistrari in perioada de timp mentionata",
+  "noPreviewFound": "Nu a fost gasita o Previzualizare",
+  "noPreviewFoundFor": "Nu există previzualizari pentru {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Trimiteti acest cadru catre Frigate+?",
+    "submit": "Trimite"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 sau mai recent este necesar pentru acest tip de stream live.",
+  "streamOffline": {
+    "title": "Stream Offline",
+    "desc": "Nici un cadru nu a fost receptionat de la streamul {{cameraName}} <code>detect</code>, verifica logurile de eroare"
+  },
+  "cameraDisabled": "Camera este dezactivata",
+  "stats": {
+    "streamType": {
+      "title": "Tip Stream:",
+      "short": "Tip"
+    },
+    "bandwidth": {
+      "title": "Latime de Banda:",
+      "short": "Latime de Banda"
+    },
+    "latency": {
+      "title": "Latenta:",
+      "value": "{{seconds}} secunde",
+      "short": {
+        "title": "Latenta",
+        "value": "{{seconds}} sec"
+      }
+    },
+    "totalFrames": "Total Cadre:",
+    "droppedFrames": {
+      "title": "Cadre Pierdute:",
+      "short": {
+        "title": "Pierdut",
+        "value": "{{droppedFrames}} cadre"
+      }
+    },
+    "decodedFrames": "Cadre Decodate:",
+    "droppedFrameRate": "Rata de Cadre Pierdute:"
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Eraoare trimitere Cadru catre Frigate+"
+    },
+    "success": {
+      "submittedFrigatePlus": "Cadru trimis cu Succes catre Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/ro/objects.json b/web/public/locales/ro/objects.json
new file mode 100644
index 000000000..6c92d8b49
--- /dev/null
+++ b/web/public/locales/ro/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Persoană",
+  "bicycle": "Bicicletă",
+  "car": "Mașină",
+  "airplane": "Avion",
+  "bus": "Autobuz",
+  "train": "Tren",
+  "boat": "Barcă",
+  "fire_hydrant": "Hidrant",
+  "street_sign": "Semn de Circulatie",
+  "stop_sign": "Semn de Stop",
+  "parking_meter": "Automat de Parcare",
+  "bench": "Bancheta",
+  "bird": "Pasare",
+  "cat": "Pisică",
+  "dog": "Câine",
+  "horse": "Cal",
+  "cow": "Vacă",
+  "elephant": "Elefant",
+  "bear": "Urs",
+  "giraffe": "Girafa",
+  "hat": "Palarie",
+  "backpack": "Rucsac",
+  "umbrella": "Umbrela",
+  "shoe": "Pantof",
+  "eye_glasses": "Ochelari",
+  "tie": "Cravata",
+  "suitcase": "Servieta",
+  "frisbee": "Frisbee",
+  "skis": "Schiuri",
+  "snowboard": "Placa de Snowboard",
+  "sports_ball": "Minge pentru Sport",
+  "kite": "Zmeu",
+  "baseball_bat": "Bata de Baseball",
+  "baseball_glove": "Manusa de Baseball",
+  "skateboard": "Skateboard",
+  "surfboard": "Placa de Surf",
+  "tennis_racket": "Racheta de Tenis",
+  "bottle": "Sticla",
+  "plate": "Placa",
+  "wine_glass": "Pahar de Vin",
+  "cup": "Ceasca",
+  "fork": "Furculita",
+  "knife": "Cutit",
+  "spoon": "Lingura",
+  "bowl": "Castron",
+  "banana": "Banana",
+  "apple": "Mar",
+  "motorcycle": "Motocicletă",
+  "traffic_light": "Semafor",
+  "sheep": "Oaie",
+  "zebra": "Zebra",
+  "handbag": "Geanta de mana",
+  "sandwich": "Sandwich",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "sink": "Chiuveta",
+  "raccoon": "Raton",
+  "orange": "Portocala",
+  "laptop": "Laptop",
+  "fox": "Vulpe",
+  "animal": "Animal",
+  "package": "Pachet",
+  "remote": "Telecomanda",
+  "toilet": "Toaleta",
+  "amazon": "Amazon",
+  "broccoli": "Broccoli",
+  "carrot": "Morcov",
+  "hot_dog": "Hot Dog",
+  "dining_table": "Masa",
+  "hair_dryer": "Uscator de Par",
+  "pizza": "Pizza",
+  "donut": "Gogoasa",
+  "teddy_bear": "Ursulet de Plus",
+  "waste_bin": "Tomberon",
+  "cake": "Tort",
+  "window": "Fereastra",
+  "chair": "Scaun",
+  "door": "Usa",
+  "on_demand": "La Cerere",
+  "usps": "USPS",
+  "couch": "Canapea",
+  "blender": "Blender",
+  "scissors": "Foarfeca",
+  "cell_phone": "Telefon Mobil",
+  "potted_plant": "Ghiveci de Plante",
+  "bed": "Pat",
+  "refrigerator": "Frigider",
+  "mirror": "Oglinda",
+  "desk": "Birou",
+  "tv": "TV",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "mouse": "Soarece",
+  "keyboard": "Orga",
+  "microwave": "Microunde",
+  "oven": "Cuptor",
+  "rabbit": "Iepure",
+  "robot_lawnmower": "Robot de Tuns Iarba",
+  "toaster": "Prajitor de Paine",
+  "book": "Carte",
+  "clock": "Ceas",
+  "vase": "Vaza",
+  "toothbrush": "Periuta de Dinti",
+  "hair_brush": "Perie de Par",
+  "vehicle": "Vehicul",
+  "squirrel": "Veverita",
+  "deer": "Caprioara",
+  "bark": "Latrat",
+  "goat": "Capra",
+  "bbq_grill": "Gratar",
+  "face": "Fata",
+  "purolator": "Purolator",
+  "license_plate": "Numar de Inmatriculare",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord"
+}
diff --git a/web/public/locales/ro/views/configEditor.json b/web/public/locales/ro/views/configEditor.json
new file mode 100644
index 000000000..cecfb7cc7
--- /dev/null
+++ b/web/public/locales/ro/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor configurație - Frigate",
+  "configEditor": "Editor de configurație",
+  "copyConfig": "Copiază setările",
+  "saveAndRestart": "Salvează și repornește",
+  "saveOnly": "Salvează",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Setări copiate."
+    },
+    "error": {
+      "savingError": "Eroare la salvarea setărilor"
+    }
+  },
+  "confirm": "Ieși fără să salvezi?"
+}
diff --git a/web/public/locales/ro/views/events.json b/web/public/locales/ro/views/events.json
new file mode 100644
index 000000000..30ae1ecb1
--- /dev/null
+++ b/web/public/locales/ro/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Alerte",
+  "motion": {
+    "label": "Mișcare",
+    "only": "Doar mișcare"
+  },
+  "allCameras": "Toate Camerele",
+  "empty": {
+    "alert": "Nu sunt alerte de revizuit",
+    "detection": "Nu sunt detecții de revizuit",
+    "motion": "Nu au fost găsite date despre mișcare"
+  },
+  "timeline": "Cronologie",
+  "timeline.aria": "Selectează cronologia",
+  "events": {
+    "aria": "Selectează evenimente",
+    "noFoundForTimePeriod": "Niciun eveniment gasit pentru acest interval de timp.",
+    "label": "Evenimente"
+  },
+  "documentTitle": "Revizuieste - Frigate",
+  "recordings": {
+    "documentTitle": "Inregistrari - frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Ultimele 24 de ore"
+  },
+  "markAsReviewed": "Marchează ca revizuit",
+  "markTheseItemsAsReviewed": "Marchează aceste articole ca revizuite",
+  "newReviewItems": {
+    "label": "Vezi articole noi de revizuit",
+    "button": "Articole Noi de Revizuit"
+  },
+  "camera": "Camera foto",
+  "detections": "Detecții",
+  "detected": "detectat",
+  "selected_one": "{{count}} selectate",
+  "selected_other": "{{count}} selectate"
+}
diff --git a/web/public/locales/ro/views/explore.json b/web/public/locales/ro/views/explore.json
new file mode 100644
index 000000000..f9b4b0867
--- /dev/null
+++ b/web/public/locales/ro/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "documentTitle": "Căutare - Frigate",
+  "generativeAI": "AI Generativ",
+  "exploreIsUnavailable": {
+    "title": "Explorarea este Indisponibila",
+    "embeddingsReindexing": {
+      "startingUp": "Porneste…",
+      "estimatedTime": "Timp ramas estimat:",
+      "finishingShortly": "Termina curand",
+      "step": {
+        "descriptionsEmbedded": "Descrieri încorporate: ",
+        "trackedObjectsProcessed": "Obiecte urmărite procesate: ",
+        "thumbnailsEmbedded": "Miniaturi încorporate: "
+      },
+      "context": "Funcția de căutare poate fi utilizată după ce reindexarea obiectelor urmărite este finalizată."
+    },
+    "downloadingModels": {
+      "context": "Frigate descarcă modelele de încorporare necesare pentru a susține funcția de Căutare Semantică. Acest lucru poate dura câteva minute, în funcție de viteza conexiunii rețelei dvs.",
+      "setup": {
+        "visionModel": "Model viziune",
+        "visionModelFeatureExtractor": "Extractor de caracteristici pentru modelul de viziune",
+        "textModel": "Model de text",
+        "textTokenizer": "Tokenizer text"
+      },
+      "tips": {
+        "context": "S-ar putea să dorești să reindexezi încorporările obiectelor urmărite odată ce modelele sunt descărcate.",
+        "documentation": "Citește documentația"
+      },
+      "error": "A apărut o eroare. Verifică jurnalele Frigate."
+    }
+  },
+  "type": {
+    "details": "detalii",
+    "snapshot": "snapshot",
+    "video": "video",
+    "object_lifecycle": "ciclul de viață al obiectului"
+  },
+  "objectLifecycle": {
+    "lifecycleItemDesc": {
+      "visible": "S-a detectat {{label}}",
+      "active": "{{label}} a devenit activ",
+      "entered_zone": "{{label}} a intrat în {{zones}}",
+      "stationary": "{{label}} a devenit staționar",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectat pentru {{label}}",
+        "other": "{{label}} recunoscut ca {{attribute}}"
+      },
+      "header": {
+        "zones": "Zone",
+        "ratio": "Raport",
+        "area": "Suprafață"
+      },
+      "gone": "{{label}} a părasit cadrul",
+      "heard": "{{label}} auzit(ă)",
+      "external": "{{label}} detectat(ă)"
+    },
+    "title": "Ciclul de viață al obiectului",
+    "count": "{{first}} din {{second}}",
+    "trackedPoint": "Punct urmărit",
+    "noImageFound": "Nicio imagine găsită pentru această marcă temporală.",
+    "createObjectMask": "Creează mască de obiecte",
+    "adjustAnnotationSettings": "Ajustează setările de adnotare",
+    "scrollViewTips": "Derulează pentru a vizualiza momentele semnificative din ciclul de viață al acestui obiect.",
+    "autoTrackingTips": "Pozițiile casetelor de delimitare vor fi inexacte pentru camerele cu urmărire automată.",
+    "annotationSettings": {
+      "showAllZones": {
+        "title": "Afișează toate zonele",
+        "desc": "Afișează întotdeauna zonele pe cadrele în care obiectele au intrat într-o zonă."
+      },
+      "offset": {
+        "label": "Compensare adnotare",
+        "documentation": "Citește documentația ",
+        "desc": "Aceste date provin din fluxul de detecție al camerei tale, dar sunt suprapuse pe imaginile din fluxul de înregistrare. Este puțin probabil ca cele două fluxuri să fie perfect sincronizate. Ca urmare, caseta de delimitare și materialul video nu se vor potrivi perfect. Totuși, câmpul <code>annotation_offset</code> poate fi folosit pentru a ajusta acest lucru.",
+        "millisecondsToOffset": "Millisecondele cu care să compensezi adnotările de detecție. <em>Implicit: 0</em>",
+        "tips": "SFAT: Imaginează-ți că există un clip de eveniment cu o persoană care merge de la stânga la dreapta. Dacă caseta de delimitare de pe linia temporală a evenimentului este constant în partea stângă a persoanei, atunci valoarea ar trebui să fie scăzută. În mod similar, dacă persoana merge de la stânga la dreapta și caseta de delimitare este constant înaintea persoanei, atunci valoarea ar trebui să fie crescută.",
+        "toast": {
+          "success": "Compensarea adnotării pentru {{camera}} a fost salvată în fișierul de configurație. Repornește Frigate pentru a aplica modificările."
+        }
+      },
+      "title": "Setări adnotare"
+    },
+    "carousel": {
+      "previous": "Slide-ul anterior",
+      "next": "Slide-ul următor"
+    }
+  },
+  "details": {
+    "timestamp": "Marcaj timp",
+    "item": {
+      "title": "Revizuiește detaliile articolului",
+      "desc": "Revizuiește detaliile articolului",
+      "button": {
+        "share": "Partajează acest articol de revizuire",
+        "viewInExplore": "Vezi în explorator"
+      },
+      "tips": {
+        "mismatch_one": "{{count}} obiect indisponibil a fost detectat și inclus în acest element de revizuire. Acest obiect fie nu s-a calificat ca alertă sau detecție, fie a fost deja curățat/șters.",
+        "mismatch_few": "{{count}} obiecte indisponibile au fost detectate și incluse în acest element de revizuire. Aceste obiecte fie nu s-au calificat ca alertă sau detecție, fie au fost deja curățate/șterse.",
+        "mismatch_other": "{{count}} de obiecte indisponibile au fost detectate și incluse în acest element de revizuire. Aceste obiecte fie nu s-au calificat ca alertă sau detecție, fie au fost deja curățate/șterse.",
+        "hasMissingObjects": "Ajustează-ți configurația dacă vrei ca Frigate să salveze obiectele urmărite pentru următoarele etichete: <em>{{objects}}</em>"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "O nouă descriere a fost solicitată de la {{provider}}. În funcție de viteza furnizorului tău, regenerarea noii descrieri poate dura ceva timp.",
+          "updatedSublabel": "Subeticheta a fost actualizată cu succes.",
+          "updatedLPR": "Plăcuța de înmatriculare a fost actualizată cu succes."
+        },
+        "error": {
+          "updatedSublabelFailed": "Nu s-a putut actualiza sub-etichetarea: {{errorMessage}}",
+          "updatedLPRFailed": "Plăcuța de înmatriculare nu a putut fi actualizată: {{errorMessage}}",
+          "regenerate": "Eroare la apelarea {{provider}} pentru o nouă descriere: {{errorMessage}}"
+        }
+      }
+    },
+    "editSubLabel": {
+      "title": "Editează subeticheta",
+      "desc": "Introdu o sub-etichetă nouă pentru acest {{label}}",
+      "descNoLabel": "Introduceți o nouă subetichetă pentru acest obiect urmărit"
+    },
+    "editLPR": {
+      "desc": "Introdu o nouă valoare pentru numărul de înmatriculare pentru acest {{label}}",
+      "descNoLabel": "Introduceți o nouă valoare a plăcuței de înmatriculare pentru acest obiect urmărit",
+      "title": "Editează plăcuța de înmatriculare"
+    },
+    "topScore": {
+      "label": "Cel mai bun scor",
+      "info": "Scorul cel mai bun este scorul median cel mai ridicat pentru obiectul urmărit, prin urmare, acesta poate diferi de scorul afișat pe miniatura rezultatului căutării."
+    },
+    "estimatedSpeed": "Viteză estimată",
+    "objects": "Obiecte",
+    "recognizedLicensePlate": "Plăcuță de înmatriculare recunoscută",
+    "snapshotScore": {
+      "label": "Scor snapshot"
+    },
+    "camera": "Cameră",
+    "zones": "Zone",
+    "button": {
+      "findSimilar": "Găsește similare",
+      "regenerate": {
+        "title": "Regenerează",
+        "label": "Regenerează descrierea obiectului urmărit"
+      }
+    },
+    "tips": {
+      "saveDescriptionFailed": "Actualizarea descrierii a eșuat: {{errorMessage}}",
+      "descriptionSaved": "Descrierea a fost salvată cu succes"
+    },
+    "label": "Etichetă",
+    "description": {
+      "label": "Descriere",
+      "placeholder": "Descrierea obiectului urmărit",
+      "aiTips": "Frigate nu va solicita o descriere de la furnizorul tău de AI până când ciclul de viață al obiectului urmărit nu se încheie."
+    },
+    "expandRegenerationMenu": "Extinde meniul de regenerare",
+    "regenerateFromSnapshot": "Regenerează din snapshot",
+    "regenerateFromThumbnails": "Regenerează din miniaturi"
+  },
+  "exploreMore": "Explorează mai multe obiecte cu {{label}}",
+  "trackedObjectDetails": "Detalii despre obiectul urmărit",
+  "trackedObjectsCount_one": "{{count}} obiect urmărit ",
+  "trackedObjectsCount_few": "{{count}} obiecte urmărite ",
+  "trackedObjectsCount_other": "{{count}} de obiecte urmărite ",
+  "itemMenu": {
+    "downloadSnapshot": {
+      "aria": "Descarcă snapshot-ul",
+      "label": "Descarcă snapshot-ul"
+    },
+    "viewObjectLifecycle": {
+      "label": "Afișează ciclul de viață al obiectului",
+      "aria": "Arată ciclul de viață al obiectului"
+    },
+    "findSimilar": {
+      "label": "Găsește similare",
+      "aria": "Găsește obiecte urmărite similare"
+    },
+    "viewInHistory": {
+      "label": "Vizualizează în Istoric",
+      "aria": "Vizualizează în Istoric"
+    },
+    "deleteTrackedObject": {
+      "label": "Șterge acest obiect urmărit"
+    },
+    "downloadVideo": {
+      "label": "Descarcă video-ul",
+      "aria": "Descarcă video-ul"
+    },
+    "submitToPlus": {
+      "label": "Trimite către Frigate+",
+      "aria": "Trimite către Frigate Plus"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Confirmă ștergerea",
+      "desc": "Ștergerea acestui obiect urmărit elimină instantaneul, orice încorporări salvate și orice intrări asociate ciclului de viață al obiectului. Materialul video înregistrat al acestui obiect urmărit în vizualizarea Istoric <em>NU</em> va fi șters.<br /><br />Ești sigur că vrei să continui?"
+    }
+  },
+  "noTrackedObjects": "Nu au fost găsite obiecte urmărite",
+  "fetchingTrackedObjectsFailed": "Eroare la preluarea obiectelor urmărite: {{errorMessage}}",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Obiectul urmărit a fost șters cu succes.",
+        "error": "Ștergerea obiectului urmărit a eșuat: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Potrivire {{type}} cu {{confidence}}%"
+  }
+}
diff --git a/web/public/locales/ro/views/exports.json b/web/public/locales/ro/views/exports.json
new file mode 100644
index 000000000..786b07150
--- /dev/null
+++ b/web/public/locales/ro/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Caută",
+  "documentTitle": "Export - Frigate",
+  "noExports": "Nu au fost gasite exporturi",
+  "deleteExport": "Șterge exportul",
+  "deleteExport.desc": "Ești sigur că vrei să ștergi {{exportName}}?",
+  "editExport": {
+    "title": "Redenumeste Exportul",
+    "saveExport": "Salveaza Export",
+    "desc": "Introdu un nume nou pentru acest Export."
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Eroare redenumire export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/ro/views/faceLibrary.json b/web/public/locales/ro/views/faceLibrary.json
new file mode 100644
index 000000000..da9261d07
--- /dev/null
+++ b/web/public/locales/ro/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "description": {
+    "addFace": "Parcurge adăugarea unei colecții noi la biblioteca de fețe.",
+    "placeholder": "Introduceti un nume pentru aceasta colectie",
+    "invalidName": "Nume invalid. Numele poate conține doar litere, cifre, spații, apostrofuri, liniuțe de subliniere și cratime."
+  },
+  "details": {
+    "person": "Persoană",
+    "subLabelScore": "Scor subetichetă",
+    "unknown": "Necunoscut",
+    "scoreInfo": "Scorul sub-etichetă este scorul ponderat pentru toate fețele recunoscute, așa că acesta poate diferi de scorul afișat în snapshot.",
+    "face": "Detalii față",
+    "faceDesc": "Detalii despre obiectul urmărit care a generat această față",
+    "timestamp": "Marcaj timp"
+  },
+  "uploadFaceImage": {
+    "desc": "Încarcă o imagine pentru a scana fețele și a include pentru {{pageToggle}}",
+    "title": "Încarcă imaginea feței"
+  },
+  "createFaceLibrary": {
+    "desc": "Creează o colecție nouă",
+    "title": "Creează colecție",
+    "nextSteps": "Pentru a construi o bază solidă:<li>Folosește fila „antrenare” pentru a selecta și antrena pe imagini pentru fiecare persoană detectată.</li><li>Concentrează-te pe imagini frontale pentru cele mai bune rezultate; evită imaginile de antrenament care surprind fețe din unghiuri laterale.</li></ul>",
+    "new": "Crează o față nouă"
+  },
+  "collections": "Colecții",
+  "documentTitle": "Bibliotecă fețe - Frigate",
+  "train": {
+    "empty": "Nu există încercări recente de recunoaștere facială",
+    "title": "Antrenează",
+    "aria": "Selectează antrenarea"
+  },
+  "steps": {
+    "description": {
+      "uploadFace": "Încarcă o imagine cu {{name}} care să arate fața dintr-un unghi frontal. Imaginea nu trebuie să fie decupată doar la nivelul feței."
+    },
+    "faceName": "Introdu numele feței",
+    "uploadFace": "Încarcă imaginea feței",
+    "nextSteps": "Pașii următori"
+  },
+  "selectFace": "Selectează fața",
+  "deleteFaceLibrary": {
+    "title": "Șterge numele",
+    "desc": "Ești sigur că vrei să ștergi colecția {{name}}? Aceasta va șterge definitiv toate fețele asociate."
+  },
+  "renameFace": {
+    "title": "Redenumește fața",
+    "desc": "Introdu un nume nou pentru {{name}}"
+  },
+  "deleteFaceAttempts": {
+    "title": "Șterge fețele",
+    "desc_one": "Ești sigur că vrei să ștergi {{count}} față? Această acțiune nu poate fi anulată.",
+    "desc_few": "Ești sigur că vrei să ștergi {{count}} fețe? Această acțiune nu poate fi anulată.",
+    "desc_other": "Ești sigur că vrei să ștergi {{count}} de fețe? Această acțiune nu poate fi anulată."
+  },
+  "button": {
+    "addFace": "Adaugă față",
+    "deleteFaceAttempts": "Șterge fețele",
+    "renameFace": "Redenumește fața",
+    "uploadImage": "Încarcă imagine",
+    "deleteFace": "Șterge fața",
+    "reprocessFace": "Reprocesează fața"
+  },
+  "selectItem": "Selectează {{item}}",
+  "toast": {
+    "success": {
+      "deletedName_one": "{{count}} față a fost ștearsă cu succes.",
+      "deletedName_few": "{{count}} fețe au fost șterse cu succes.",
+      "deletedName_other": "{{count}} de fețe au fost șterse cu succes.",
+      "trainedFace": "Față antrenată cu succes.",
+      "renamedFace": "Fața a fost redenumită cu succes ca {{name}}",
+      "updatedFaceScore": "Scorul feței a fost actualizat cu succes.",
+      "deletedFace_one": "{{count}} față a fost ștersă cu succes.",
+      "deletedFace_few": "{{count}} fețe au fost șterse cu succes.",
+      "deletedFace_other": "{{count}} de fețe au fost șterse cu succes.",
+      "uploadedImage": "Imagine încărcată cu succes.",
+      "addFaceLibrary": "{{name}} a fost adăugat(ă) cu succes la biblioteca de fețe!"
+    },
+    "error": {
+      "addFaceLibraryFailed": "Setarea numelui feței a eșuat: {{errorMessage}}",
+      "deleteFaceFailed": "Ștergerea a eșuat: {{errorMessage}}",
+      "deleteNameFailed": "Ștergerea numelui a eșuat: {{errorMessage}}",
+      "renameFaceFailed": "Redenumirea feței a eșuat: {{errorMessage}}",
+      "trainFailed": "Antrenarea a eșuat: {{errorMessage}}",
+      "uploadingImageFailed": "Încărcarea imaginii a eșuat: {{errorMessage}}",
+      "updateFaceScoreFailed": "Nu s-a putut actualiza scorul feței: {{errorMessage}}"
+    }
+  },
+  "imageEntry": {
+    "dropActive": "Trage imaginea aici…",
+    "dropInstructions": "Trage și plasează o imagine aici sau fă clic pentru a selecta",
+    "maxSize": "Dimensiunea maximă: {{size}}MB",
+    "validation": {
+      "selectImage": "Te rog să selectezi un fișier imagine."
+    }
+  },
+  "trainFaceAs": "Antrenează fața ca:",
+  "trainFace": "Antrenează fața",
+  "readTheDocs": "Citește documentația",
+  "nofaces": "Nu sunt fețe disponibile",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/ro/views/live.json b/web/public/locales/ro/views/live.json
new file mode 100644
index 000000000..39ce37747
--- /dev/null
+++ b/web/public/locales/ro/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Frigate - Live",
+  "documentTitle.withCamera": "{{camera}} - Frigate - Live",
+  "lowBandwidthMode": "Mod Latime de Banda Limitata",
+  "twoWayTalk": {
+    "enable": "Activare dialog",
+    "disable": "Dezactivează conversația bidirecțională"
+  },
+  "ptz": {
+    "zoom": {
+      "out": {
+        "label": "Îndepărtează camera PTZ"
+      },
+      "in": {
+        "label": "Apropie camera PTZ"
+      }
+    },
+    "move": {
+      "clickMove": {
+        "label": "Fă click în cadrul imaginii pentru a centra camera",
+        "enable": "Activează clic pentru a muta",
+        "disable": "Dezactivează clic pentru a muta"
+      },
+      "left": {
+        "label": "Mișcă camera PTZ spre stânga"
+      },
+      "up": {
+        "label": "Mișcă camera PTZ în sus"
+      },
+      "down": {
+        "label": "Mișcă camera PTZ în jos"
+      },
+      "right": {
+        "label": "Mișcă camera PTZ spre dreapta"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Fă clic în cadru pentru a centra camera PTZ"
+      }
+    },
+    "presets": "Presetări cameră PTZ"
+  },
+  "cameraAudio": {
+    "enable": "Activează sunetul camerei",
+    "disable": "Dezactivează sunetul camerei"
+  },
+  "camera": {
+    "enable": "Activează camera",
+    "disable": "Dezactivează camera"
+  },
+  "muteCameras": {
+    "enable": "Dezactivează sunetul pentru toate camerele",
+    "disable": "Activează sunetul pentru toate camerele"
+  },
+  "detect": {
+    "enable": "Activează detectarea",
+    "disable": "Dezactivează detectarea"
+  },
+  "recording": {
+    "enable": "Activează înregistrarea",
+    "disable": "Dezactivează înregistrarea"
+  },
+  "snapshots": {
+    "disable": "Dezactivează snapshoturile",
+    "enable": "Activează snapshoturile"
+  },
+  "audioDetect": {
+    "enable": "Activează detectarea audio",
+    "disable": "Dezactivează detectarea audio"
+  },
+  "autotracking": {
+    "enable": "Activează urmărirea automată",
+    "disable": "Dezactivează urmărirea automată"
+  },
+  "streamStats": {
+    "enable": "Afișează statistici streaming",
+    "disable": "Ascunde statisticile de streaming"
+  },
+  "manualRecording": {
+    "title": "Înregistrare la cerere",
+    "tips": "Pornește un eveniment manual bazat pe setările de păstrare a înregistrărilor pentru această cameră.",
+    "playInBackground": {
+      "label": "Redă în fundal",
+      "desc": "Activează această opțiune pentru a continua redarea streaming-ului chiar și atunci când playerul este ascuns."
+    },
+    "showStats": {
+      "label": "Afișează statistici",
+      "desc": "Activează această opțiune pentru a afișa statisticile de streaming suprapus peste imaginea camerei."
+    },
+    "debugView": "Vizualizator depanare",
+    "start": "Pornește înregistrarea la cerere",
+    "started": "Înregistrare la cerere pornită manual.",
+    "failedToStart": "Nu s-a putut porni înregistrarea manuală la cerere.",
+    "recordDisabledTips": "Deoarece înregistrarea este dezactivată sau restricționată în configurația pentru această cameră, va fi salvată doar o captură de ecran.",
+    "end": "Oprește înregistrarea la cerere",
+    "ended": "Înregistrarea manuală la cerere s-a încheiat.",
+    "failedToEnd": "Nu s-a reușit încheierea înregistrării manuale la cerere."
+  },
+  "streamingSettings": "Setări streaming",
+  "notifications": "Notificări",
+  "audio": "Audio",
+  "suspend": {
+    "forTime": "Suspendă pentru: "
+  },
+  "stream": {
+    "title": "Stream",
+    "audio": {
+      "tips": {
+        "title": "Sunetul trebuie să fie redat de camera dvs. și configurat în go2rtc pentru acest stream.",
+        "documentation": "Citește documentația "
+      },
+      "available": "Sunetul este disponibil pentru acest stream",
+      "unavailable": "Sunetul nu este disponibil pentru acest stream"
+    },
+    "twoWayTalk": {
+      "tips": "Dispozitivul dvs. trebuie să suporte această funcție, iar WebRTC trebuie configurat pentru comunicare bidirecțională.",
+      "tips.documentation": "Citește documentația ",
+      "available": "Comunicarea bidirecțională este disponibilă pentru acest stream",
+      "unavailable": "Comunicarea bidirecțională nu este disponibilă pentru acest stream"
+    },
+    "lowBandwidth": {
+      "tips": "Vizualizarea live este în modul de lățime de bandă redusă din cauza întârzierilor sau a erorilor de streaming.",
+      "resetStream": "Resetează stream-ul"
+    },
+    "playInBackground": {
+      "label": "Redare în fundal",
+      "tips": "Activează această opțiune pentru a continua streaming-ul când player-ul este ascuns."
+    }
+  },
+  "cameraSettings": {
+    "title": "Setări pentru {{camera}}",
+    "cameraEnabled": "Cameră activată",
+    "objectDetection": "Detectare obiecte",
+    "recording": "Înregistrare",
+    "snapshots": "Snapshot-uri",
+    "audioDetection": "Detectare sunet",
+    "autotracking": "Urmărire automată"
+  },
+  "history": {
+    "label": "Afișează înregistrările istorice"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Toate",
+      "motion": "Mișcare",
+      "active_objects": "Obiecte active"
+    },
+    "notAllTips": "Configurația ta de retenție pentru înregistrările {{source}} este setată la <code>mode: {{effectiveRetainMode}}</code>, astfel că această înregistrare la cerere va păstra doar segmentele cu {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Editează aspectul",
+    "group": {
+      "label": "Editează grupul de camere"
+    },
+    "exitEdit": "Ieși din modul de editare"
+  }
+}
diff --git a/web/public/locales/ro/views/recording.json b/web/public/locales/ro/views/recording.json
new file mode 100644
index 000000000..1b96b7c42
--- /dev/null
+++ b/web/public/locales/ro/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtru",
+  "export": "Exporta",
+  "calendar": "Calendar",
+  "filters": "Filtre",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "Timpul de sfarsit trebuie sa fie dupa cel de start",
+      "noValidTimeSelected": "Niciun interval de timp valid nu a fost selectat"
+    }
+  }
+}
diff --git a/web/public/locales/ro/views/search.json b/web/public/locales/ro/views/search.json
new file mode 100644
index 000000000..9e80fdc3b
--- /dev/null
+++ b/web/public/locales/ro/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Caută",
+  "savedSearches": "Căutări salvate",
+  "searchFor": "Caută {{inputValue}}",
+  "button": {
+    "clear": "Șterge căutarea",
+    "save": "Salvează căutarea",
+    "filterInformation": "Filtrează informațiile",
+    "delete": "Șterge căutarea salvată",
+    "filterActive": "Filtre active"
+  },
+  "trackedObjectId": "ID-ul obiectului urmărit",
+  "filter": {
+    "label": {
+      "cameras": "Camere",
+      "labels": "Etichete",
+      "zones": "Zone",
+      "sub_labels": "Sub-etichete",
+      "search_type": "Tip căutare",
+      "time_range": "Interval de timp",
+      "max_score": "Scor maxim",
+      "before": "Înainte",
+      "after": "După",
+      "min_score": "Scor minim",
+      "min_speed": "Viteza minimă",
+      "max_speed": "Viteza maximă",
+      "recognized_license_plate": "Număr de înmatriculare recunoscut",
+      "has_clip": "Are videoclip",
+      "has_snapshot": "Are snapshot"
+    },
+    "tips": {
+      "desc": {
+        "step1": "Tastează un nume de filtru urmat de două puncte (ex. „camere:” ).",
+        "step3": "Folosește mai multe filtre adăugându-le unul după altul, separate prin spațiu.",
+        "step4": "Filtrele de dată (înainte: și după:) folosesc formatul {{DateFormat}}.",
+        "step6": "Elimină filtrele făcând clic pe „X”-ul de lângă ele.",
+        "exampleLabel": "Exemplu:",
+        "step5": "Filtrul pentru intervalul de timp folosește formatul {{exampleTime}}.",
+        "step2": "Selectează o valoare din sugestii sau tastează propria valoare.",
+        "text": "Filtrele te ajută să restrângi rezultatele căutării. Iată cum să le folosești în câmpul de introducere:"
+      },
+      "title": "Cum să folosești filtrele de text"
+    },
+    "header": {
+      "noFilters": "Filtre",
+      "currentFilterType": "Valori filtru",
+      "activeFilters": "Filtre active"
+    },
+    "searchType": {
+      "thumbnail": "Miniatură",
+      "description": "Descriere"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Data „înainte” trebuie să fie ulterioară datei „după”.",
+        "afterDatebeEarlierBefore": "Data „după” trebuie să fie mai recentă decât data „înainte”.",
+        "minScoreMustBeLessOrEqualMaxScore": "Valoarea „min_score” trebuie să fie mai mică sau egală cu „max_score”.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Valoarea „max_score” trebuie să fie mai mare sau egală cu „min_score”.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Valoarea „min_speed” trebuie să fie mai mică sau egală cu „max_speed”.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Valoarea „max_speed” trebuie să fie mai mare sau egală cu „min_speed”."
+      }
+    }
+  },
+  "similaritySearch": {
+    "title": "Căutare după similaritate",
+    "active": "Căutarea după similaritate este activată",
+    "clear": "Șterge căutarea după similaritate"
+  },
+  "placeholder": {
+    "search": "Căutare…"
+  }
+}
diff --git a/web/public/locales/ro/views/settings.json b/web/public/locales/ro/views/settings.json
new file mode 100644
index 000000000..fad64bd91
--- /dev/null
+++ b/web/public/locales/ro/views/settings.json
@@ -0,0 +1,623 @@
+{
+  "documentTitle": {
+    "authentication": "Setări de autentificare - Frigate",
+    "camera": "Setări cameră - Frigate",
+    "default": "Setări - Frigate",
+    "classification": "Setări de clasificare - Frigate",
+    "masksAndZones": "Editor Zonă si Mască - Frigate",
+    "notifications": "Setări notificări - Frigate",
+    "motionTuner": "Ajustare mișcare - Frigate",
+    "object": "Depanare - Frigate",
+    "general": "Setări generale - Frigate",
+    "frigatePlus": "Setări Frigate+ - Frigate",
+    "enrichments": "Setări de Îmbogățiri - Frigate"
+  },
+  "menu": {
+    "ui": "Interfață utilizator",
+    "cameras": "Setări cameră",
+    "masksAndZones": "Măști / Zone",
+    "motionTuner": "Reglaj mișcare",
+    "enrichments": "Îmbogățiri",
+    "debug": "Depanare",
+    "users": "Utilizatori",
+    "notifications": "Notificări",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Ai modificări nesalvate.",
+      "desc": "Vrei să salvezi modificările înainte de a continua?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Cameră",
+    "noCamera": "Nicio cameră"
+  },
+  "general": {
+    "title": "Setări generale",
+    "liveDashboard": {
+      "title": "Tabloul de bord live",
+      "automaticLiveView": {
+        "desc": "Comută automat la vizualizarea live a unei camere când este detectată activitate. Dezactivarea acestei opțiuni face ca imaginile statice ale camerelor din panoul Live să se actualizeze doar o dată pe minut.",
+        "label": "Vizualizare Live Automată"
+      },
+      "playAlertVideos": {
+        "label": "Redă videoclipurile de alertă",
+        "desc": "În mod implicit, alertele recente din panoul Live se redau ca videoclipuri mici, ce ruleaza repetat. Dezactivează această opțiune pentru a afișa doar o imagine statică a alertelor recente pe acest dispozitiv/browser."
+      }
+    },
+    "storedLayouts": {
+      "title": "Layout-uri salvate",
+      "desc": "Aranjamentul camerelor într-un grup de camere poate fi tras și redimensionat. Pozițiile sunt salvate în stocarea locală a browserului tău.",
+      "clearAll": "Șterge toate layout-urile"
+    },
+    "cameraGroupStreaming": {
+      "title": "Setări de streaming pentru grupul de camere",
+      "desc": "Setările de streaming pentru fiecare grup de camere sunt stocate în memoria locală a browserului tău.",
+      "clearAll": "Șterge toate setările de streaming"
+    },
+    "recordingsViewer": {
+      "title": "Vizualizator înregistrări",
+      "defaultPlaybackRate": {
+        "desc": "Viteza implicită de redare pentru înregistrări.",
+        "label": "Viteza implicită de redare"
+      }
+    },
+    "calendar": {
+      "title": "Calendar",
+      "firstWeekday": {
+        "label": "Prima zi a săptămânii",
+        "desc": "Ziua cu care încep săptămânile calendarului de revizuire.",
+        "sunday": "Duminică",
+        "monday": "Luni"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Aspectul salvat pentru {{cameraName}} a fost șters",
+        "clearStreamingSettings": "Setările de streaming pentru toate grupurile de camere au fost resetate."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Eroare la ștergerea layout-ului salvat: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Nu s-au putut șterge setările de streaming: {{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "faceRecognition": {
+      "modelSize": {
+        "large": {
+          "desc": "Utilizarea variantei <em>mari</em> folosește un model ArcFace pentru încorporarea fețelor și va rula automat pe GPU, dacă este disponibil.",
+          "title": "mare"
+        },
+        "desc": "Dimensiunea modelului utilizat pentru recunoașterea facială.",
+        "small": {
+          "title": "mic",
+          "desc": "Utilizarea variantei <em>mici</em> folosește un model FaceNet pentru încorporarea fețelor, care rulează eficient pe majoritatea tipurilor de procesoare."
+        },
+        "label": "Dimensiunea modelului"
+      },
+      "title": "Recunoaștere facială",
+      "desc": "Recunoașterea facială permite atribuirea de nume persoanelor, iar când fața lor este recunoscută, Frigate va atribui numele persoanei ca sub-etichetă. Această informație este inclusă în interfața utilizatorului, filtre și în notificări.",
+      "readTheDocumentation": "Citește documentația"
+    },
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmDesc": "Ești sigur că vrei să reindexezi încorporările pentru toate obiectele urmărite? Acest proces va rula în fundal, dar poate folosi la maxim procesorul și poate dura ceva timp. Poți urmări progresul pe pagina de explorare.",
+        "label": "Reindexează acum",
+        "desc": "Reindexarea va regenera încorporările pentru toate obiectele urmărite. Acest proces rulează în fundal și poate utiliza la maxim procesorul, durând o perioadă considerabilă în funcție de numărul de obiecte urmărite pe care le ai.",
+        "confirmTitle": "Confirmă reindexarea",
+        "confirmButton": "Reindexează",
+        "success": "Reindexarea a început cu succes.",
+        "alreadyInProgress": "Reindexarea este deja în curs de desfășurare.",
+        "error": "Eroare la pornirea reindexării: {{errorMessage}}"
+      },
+      "title": "Căutare semantică",
+      "desc": "Căutarea semantică în Frigate îți permite să găsești obiecte urmărite în elementele tale de revizuire folosind fie imaginea în sine, o descriere text definită de utilizator, sau una generată automat.",
+      "readTheDocumentation": "Citește documentația",
+      "modelSize": {
+        "label": "Dimensiunea modelului",
+        "desc": "Dimensiunea modelului utilizat pentru încorporările de căutare semantică.",
+        "small": {
+          "title": "mic",
+          "desc": "Utilizarea variantei <em>mici</em> folosește o versiune cuantificată a modelului care consumă mai puțină memorie RAM și rulează mai rapid pe CPU, cu o diferență foarte mică în calitatea încorporărilor."
+        },
+        "large": {
+          "title": "mare",
+          "desc": "Utilizarea variantei <em>mari</em> folosește modelul complet Jina și va rula automat pe GPU, dacă este disponibil."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate poate recunoaște numerele de înmatriculare ale vehiculelor și poate adăuga automat caracterele detectate în câmpul recognized_license_plate sau un nume cunoscut ca sub_etichetă pentru obiectele de tip mașină. Un caz de utilizare comun poate fi citirea numerelor de înmatriculare ale mașinilor care intră într-o curte sau ale celor care trec pe stradă.",
+      "title": "Recunoaștere numere de înmatriculare",
+      "readTheDocumentation": "Citește documentația"
+    },
+    "title": "Setări îmbogățiri",
+    "unsavedChanges": "Modificările nesalvate ale setărilor de îmbogățiri",
+    "birdClassification": {
+      "title": "Clasificarea păsărilor",
+      "desc": "Clasificarea păsărilor identifică păsările cunoscute folosind un model TensorFlow cuantificat. Când o pasăre recunoscută este identificată, numele său comun va fi adăugat ca sub_etichetă. Această informație este inclusă în interfața utilizator, filtre și în notificări."
+    },
+    "restart_required": "Este necesară repornirea (setările de îmbogățiri au fost modificate)",
+    "toast": {
+      "success": "Setările de îmbogățiri au fost salvate. Repornește Frigate pentru a aplica modificările.",
+      "error": "Nu s-au putut salva modificările configurației: {{errorMessage}}"
+    }
+  },
+  "camera": {
+    "title": "Setări cameră",
+    "streams": {
+      "title": "Stream-uri",
+      "desc": "Dezactivează temporar o cameră până la repornirea Frigate. Dezactivarea completă a unei camere oprește procesarea streamului acesteia de către Frigate. Detecția, înregistrarea și depanarea nu vor fi disponibile.<br /> <em>Notă: Aceasta nu dezactivează restream-urile go2rtc.</em>"
+    },
+    "review": {
+      "title": "Revizuire",
+      "desc": "Activează/dezactivează temporar alertele și detecțiile pentru această cameră până la repornirea Frigate. Când este dezactivată, nu vor fi generate noi elemente pentru revizuire. ",
+      "alerts": "Alerte. ",
+      "detections": "Detecții. "
+    },
+    "reviewClassification": {
+      "title": "Clasificare revizuiri",
+      "desc": "Frigate clasifică elementele de revizuire în \"alerte\" și \"detecții\". În mod implicit, toate obiectele de tip <em>persoană</em> și <em>mașină</em> sunt considerate alerte. Poți rafina clasificarea elementelor de revizuire configurând zonele necesare pentru acestea.",
+      "readTheDocumentation": "Citește documentația",
+      "unsavedChanges": "Setări de clasificare a revizuirilor nesalvate pentru {{camera}}",
+      "limitDetections": "Limitează detecțiile la zone specifice",
+      "zoneObjectDetectionsTips": {
+        "notSelectDetections": "Toate obiectele {{detectionsLabels}} detectate în {{zone}} pe {{cameraName}} care nu sunt categorisite ca alerte vor fi afișate ca detecții, indiferent de zona în care se află.",
+        "regardlessOfZoneObjectDetectionsTips": "Toate obiectele {{detectionsLabels}} necategorisite pe {{cameraName}} vor fi afișate ca detecții, indiferent de zona în care se află.",
+        "text": "Toate obiectele {{detectionsLabels}} care nu sunt categorisite în {{zone}} pe {{cameraName}} vor fi afișate ca detecții."
+      },
+      "selectDetectionsZones": "Selectează zone pentru detecții",
+      "zoneObjectAlertsTips": "Toate obiectele {{alertsLabels}} detectate în {{zone}} pe {{cameraName}} vor fi afișate ca alerte.",
+      "objectDetectionsTips": "Toate obiectele {{detectionsLabels}} necategorisite pe {{cameraName}} vor fi afișate ca detecții, indiferent de zona în care se află.",
+      "toast": {
+        "success": "Configurația clasificării pentru revizuire a fost salvată. Repornește Frigate pentru a aplica modificările."
+      },
+      "selectAlertsZones": "Selectează zone pentru alerte",
+      "noDefinedZones": "Nu sunt definite zone pentru această cameră.",
+      "objectAlertsTips": "Toate obiectele {{alertsLabels}} de pe {{cameraName}} vor fi afișate ca alerte."
+    }
+  },
+  "masksAndZones": {
+    "zones": {
+      "point_one": "{{count}} punct",
+      "point_few": "{{count}} puncte",
+      "point_other": "{{count}} de puncte",
+      "loiteringTime": {
+        "title": "Timp de ședere",
+        "desc": "Setează o durată minimă în secunde în care obiectul trebuie să fie în zonă pentru ca aceasta să se activeze. <em>Implicit: 0</em>"
+      },
+      "speedEstimation": {
+        "desc": "Activează estimarea vitezei pentru obiectele din această zonă. Atenție: Pentru ca estimarea vitezei să funcționeze corect, zona trebuie să aibă exact 4 puncte.",
+        "title": "Estimare viteză",
+        "docs": "Citește documentația",
+        "lineADistance": "Distanța liniei A ({{unit}})",
+        "lineBDistance": "Distanța liniei B ({{unit}})",
+        "lineCDistance": "Distanța liniei C ({{unit}})",
+        "lineDDistance": "Distanța liniei D ({{unit}})"
+      },
+      "add": "Adaugă zonă",
+      "desc": {
+        "title": "Zonele îți permit să definești o anumită zonă din cadrul vizual al camerei. Astfel, poți determina dacă un obiect se află sau nu într-o anumită arie de interes.",
+        "documentation": "Documentație"
+      },
+      "edit": "Editează zona",
+      "name": {
+        "inputPlaceHolder": "Introdu un nume…",
+        "title": "Nume",
+        "tips": "Numele trebuie să aibă cel puțin 2 caractere și nu trebuie să fie identic cu numele unei camere sau al unei alte zone existente."
+      },
+      "inertia": {
+        "title": "Inerție",
+        "desc": "Specifică câte cadre trebuie să fie un obiect într-o zonă înainte de a fi considerat prezent în zonă. <em>Implicit: 3</em>"
+      },
+      "speedThreshold": {
+        "toast": {
+          "error": {
+            "pointLengthError": "Estimarea vitezei a fost dezactivată pentru această zonă. Zonele cu estimare a vitezei trebuie să aibă exact 4 puncte.",
+            "loiteringTimeError": "Zonele cu un timp de staționare mai mare de 0 nu ar trebui utilizate împreună cu estimarea vitezei."
+          }
+        },
+        "title": "Prag de viteză ({{unit}})",
+        "desc": "Specifică o viteză minimă pe care trebuie să o aibă obiectele pentru a fi considerate în această zonă."
+      },
+      "documentTitle": "Editează zone - Frigate",
+      "clickDrawPolygon": "Click pentru a desena un poligon pe imagine.",
+      "toast": {
+        "success": "Zona ({{zoneName}}) a fost salvată. Repornește Frigate pentru a aplica modificările."
+      },
+      "label": "Zone",
+      "objects": {
+        "title": "Obiecte",
+        "desc": "Lista de obiecte care se aplică acestei zone."
+      },
+      "allObjects": "Toate obiectele"
+    },
+    "motionMasks": {
+      "point_one": "{{count}} punct",
+      "point_few": "{{count}} puncte",
+      "point_other": "{{count}} de puncte",
+      "clickDrawPolygon": "Fă click pentru a desena un poligon pe imagine.",
+      "label": "Măști de mișcare",
+      "documentTitle": "Editează masca de mișcare - Frigate",
+      "desc": {
+        "documentation": "Documentație",
+        "title": "Măștile de mișcare sunt folosite pentru a preveni ca anumite tipuri de mișcare nedorită să declanșeze detecția. Mascare excesivă va îngreuna urmărirea obiectelor."
+      },
+      "add": "Adaugă mască de mișcare",
+      "edit": "Editează masca de mișcare",
+      "context": {
+        "documentation": "Citește documentația",
+        "title": "Măștile de mișcare sunt folosite pentru a preveni declanșarea detecțiilor din cauza tipurilor nedorite de mișcare (de exemplu: ramuri de copaci, timestamp-uri ale camerei). Măștile de mișcare ar trebui folosite <em>cu mare prudență</em>, deoarece supramascarea va îngreuna urmărirea obiectelor."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} a fost salvat. Repornește Frigate pentru a aplica modificările.",
+          "noName": "Masca de mișcare a fost salvată.Repornește Frigate pentru a aplica modificările."
+        }
+      },
+      "polygonAreaTooLarge": {
+        "tips": "Măștile de mișcare nu împiedică detectarea obiectelor. Ele doar previn ca mișcarea nedorită să declanșeze o detecție.",
+        "title": "Masca de mișcare acoperă {{polygonArea}}% din cadrul camerei. Măștile mari de mișcare nu sunt recomandate.",
+        "documentation": "Citește documentația"
+      }
+    },
+    "objectMasks": {
+      "point_one": "{{count}} punct",
+      "point_few": "{{count}} puncte",
+      "point_other": "{{count}} de puncte",
+      "documentTitle": "Editează masca de obiecte - Frigate",
+      "add": "Adaugă mască de obiecte",
+      "edit": "Editează masca de obiecte",
+      "desc": {
+        "documentation": "Documentație",
+        "title": "Măștile de filtrare a obiectelor sunt folosite pentru a filtra falsele pozitive pentru un anumit tip de obiect, în funcție de locație."
+      },
+      "label": "Măști obiecte",
+      "objects": {
+        "desc": "Tipul de obiect căruia i se aplică această mască de obiecte.",
+        "allObjectTypes": "Toate tipurile de obiecte",
+        "title": "Obiecte"
+      },
+      "toast": {
+        "success": {
+          "noName": "Masca de obiecte a fost salvată. Repornește Frigate pentru a aplica modificările.",
+          "title": "{{polygonName}} a fost salvat. Repornește Frigate pentru a aplica modificările."
+        }
+      },
+      "clickDrawPolygon": "Fă click pentru a desena un poligon pe imagine.",
+      "context": "Măștile de filtrare a obiectelor sunt folosite pentru a elimina falsele pozitive pentru un anumit tip de obiect, în funcție de locația acestuia."
+    },
+    "restart_required": "Repornire necesară (măști/zone modificate)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "Coordonatele pentru {{polyName}} au fost copiate."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Nu s-au putut copia coordonatele."
+      }
+    },
+    "filter": {
+      "all": "Toate măștile și zonele"
+    },
+    "motionMaskLabel": "Masca de mișcare {{number}}",
+    "objectMaskLabel": "Mască obiect {{number}} ({{label}})",
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Numele zonei trebuie să aibă cel puțin 2 caractere.",
+          "mustNotContainPeriod": "Numele zonei nu trebuie să conțină puncte.",
+          "hasIllegalCharacter": "Numele zonei conține caractere nepermise.",
+          "mustNotBeSameWithCamera": "Numele zonei nu trebuie să fie identic cu numele camerei.",
+          "alreadyExists": "O zonă cu acest nume există deja pentru această cameră."
+        }
+      },
+      "polygonDrawing": {
+        "delete": {
+          "desc": "Ești sigur că vrei să ștergi {{type}} <em>{{name}}</em>?",
+          "success": "{{name}} a fost șters.",
+          "title": "Confirmă ștergerea"
+        },
+        "removeLastPoint": "Elimină ultimul punct",
+        "reset": {
+          "label": "Șterge toate punctele"
+        },
+        "snapPoints": {
+          "false": "Nu fixa punctele",
+          "true": "Fixează punctele"
+        },
+        "error": {
+          "mustBeFinished": "Desenul poligonului trebuie finalizat înainte de salvare."
+        }
+      },
+      "distance": {
+        "error": {
+          "mustBeFilled": "Toate câmpurile de distanță trebuie completate pentru a putea folosi estimarea vitezei.",
+          "text": "Distanța trebuie să fie mai mare sau egală cu 0.1."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Inerția trebuie să fie mai mare de 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Timpul de staționare trebuie să fie mai mare sau egal cu 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Pragul de viteză trebuie să fie mai mare sau egal cu 0.1."
+        }
+      }
+    }
+  },
+  "debug": {
+    "motion": {
+      "tips": "<p><strong>Casete de mișcare</strong></p><br><p>Casetele roșii vor fi suprapuse pe zonele din cadru unde este detectată în prezent mișcare</p>",
+      "title": "Casete de mișcare",
+      "desc": "Arată chenarele în jurul zonelor unde este detectată mișcare"
+    },
+    "regions": {
+      "tips": "<p><strong>Casete de regiune</strong></p><br><p>Casetele verde deschis vor fi suprapuse pe zonele de interes din cadru care sunt trimise către detectorul de obiecte.</p>",
+      "title": "Regiuni",
+      "desc": "Arată o casetă a regiunii de interes trimise detectorului de obiecte"
+    },
+    "desc": "Vizualizarea de depanare îți arată o vizualizare în timp real a obiectelor urmărite și a statisticilor acestora. Lista de obiecte afișează un rezumat întârziat al obiectelor detectate.",
+    "objectShapeFilterDrawing": {
+      "document": "Citește documentația ",
+      "area": "Suprafață",
+      "title": "Desenare filtru formă obiect",
+      "desc": "Desenează un dreptunghi pe imagine pentru a vizualiza detaliile zonei și ale raportului",
+      "tips": "Activează această opțiune pentru a desena un dreptunghi pe imaginea camerei, pentru a-i arăta zona și raportul. Aceste valori pot fi apoi utilizate pentru a seta parametrii de filtrare a formei obiectelor în configurația ta.",
+      "score": "Scor",
+      "ratio": "Raport"
+    },
+    "noObjects": "Nici un obiect",
+    "boundingBoxes": {
+      "title": "Casete de delimitare",
+      "desc": "Afișează casete de delimitare în jurul obiectelor urmărite",
+      "colors": {
+        "label": "Culori pentru casetele de delimitare ale obiectelor",
+        "info": "<li>La pornire, fiecărei etichete de obiect i se vor atribui culori diferite</li><li>O linie subțire albastru închis indică faptul că obiectul nu este detectat în acest moment</li><li>O linie subțire gri indică faptul că obiectul este detectat ca fiind staționar</li><li>O linie groasă indică faptul că obiectul este subiectul urmării automate (când este activată)</li>"
+      }
+    },
+    "title": "Depanare",
+    "debugging": "Depanare",
+    "objectList": "Listă obiecte",
+    "mask": {
+      "desc": "Afișează poligoanele măștilor de mișcare",
+      "title": "Măști de mișcare"
+    },
+    "detectorDesc": "Frigate folosește detectorii ({{detectors}}) pentru a detecta obiecte în stream-ul video al camerei tale.",
+    "timestamp": {
+      "title": "Marcaj temporal",
+      "desc": "Suprapune un marcaj temporal pe imagine"
+    },
+    "zones": {
+      "title": "Zone",
+      "desc": "Afișează conturul oricăror zone definite"
+    }
+  },
+  "users": {
+    "dialog": {
+      "deleteUser": {
+        "warn": "Ești sigur că vrei să ștergi utilizatorul <strong>{{username}}</strong>?",
+        "title": "Șterge utilizatorul",
+        "desc": "Această acțiune nu poate fi anulată. Aceasta va șterge definitiv contul de utilizator și va elimina toate datele asociate."
+      },
+      "changeRole": {
+        "desc": "Actualizează permisiunile pentru <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Selectează rolul potrivit pentru acest utilizator:",
+          "admin": "Administrator",
+          "adminDesc": "Acces complet la toate funcțiile.",
+          "viewer": "Vizualizator",
+          "viewerDesc": "Limitat doar la tablourile de bord Live, Revizuire, Explorare și Exporturi."
+        },
+        "select": "Selectează un rol",
+        "title": "Schimbă rolul utilizatorului"
+      },
+      "form": {
+        "password": {
+          "strength": {
+            "weak": "Slabă",
+            "title": "Putere parolă: ",
+            "veryStrong": "Foarte puternică",
+            "medium": "Medie",
+            "strong": "Puternică"
+          },
+          "placeholder": "Introdu parola",
+          "confirm": {
+            "title": "Confirmă parola",
+            "placeholder": "Confirmă parola"
+          },
+          "title": "Parolă",
+          "match": "Parolele se potrivesc",
+          "notMatch": "Parolele nu se potrivesc"
+        },
+        "passwordIsRequired": "Este nevoie de parolă",
+        "user": {
+          "placeholder": "Introdu nume utilizator",
+          "title": "Nume utilizator",
+          "desc": "Sunt permise doar litere, cifre, puncte și subliniere."
+        },
+        "newPassword": {
+          "title": "Parolă nouă",
+          "placeholder": "Introdu parola nouă",
+          "confirm": {
+            "placeholder": "Re-introdu parola nouă"
+          }
+        },
+        "usernameIsRequired": "Este nevoie de numele de utilizator"
+      },
+      "createUser": {
+        "confirmPassword": "Te rog să confirmi parola",
+        "title": "Crează un utilizator nou",
+        "desc": "Adaugă un cont de utilizator nou și specifică un rol pentru accesul la anumite zone ale interfeței Frigate.",
+        "usernameOnlyInclude": "Numele de utilizator poate conține doar litere, cifre, . sau _"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "Parola nu poate fi goală",
+        "doNotMatch": "Parolele nu se potrivesc",
+        "updatePassword": "Actualizează parola pentru {{username}}",
+        "setPassword": "Schimbă parola",
+        "desc": "Creează o parolă puternică pentru a securiza acest cont."
+      }
+    },
+    "addUser": "Adaugă utilizator",
+    "management": {
+      "desc": "Gestionează conturile de utilizator ale acestei instanțe Frigate.",
+      "title": "Gestionare utilizatori"
+    },
+    "toast": {
+      "success": {
+        "roleUpdated": "Rolul a fost actualizat pentru {{user}}",
+        "updatePassword": "Parola a fost actualizată cu succes.",
+        "createUser": "Utilizatorul {{user}} a fost creat cu succes",
+        "deleteUser": "Utilizatorul {{user}} a fost șters cu succes"
+      },
+      "error": {
+        "setPasswordFailed": "Salvarea parolei a eșuat: {{errorMessage}}",
+        "createUserFailed": "Crearea utilizatorului a eșuat: {{errorMessage}}",
+        "roleUpdateFailed": "Actualizarea rolului a eșuat: {{errorMessage}}",
+        "deleteUserFailed": "Ștergerea utilizatorului a eșuat: {{errorMessage}}"
+      }
+    },
+    "updatePassword": "Actualizează parola",
+    "title": "Utilizatori",
+    "table": {
+      "username": "Nume utilizator",
+      "actions": "Acțiuni",
+      "role": "Rol",
+      "noUsers": "Nu a fost găsit niciun utilizator.",
+      "changeRole": "Schimbă rolul utilizatorului",
+      "deleteUser": "Șterge utilizatorul",
+      "password": "Parolă"
+    }
+  },
+  "notification": {
+    "notificationSettings": {
+      "title": "Setări pentru notificări",
+      "desc": "Frigate poate trimite nativ notificări push către dispozitivul tău atunci când rulează în browser sau este instalat ca PWA.",
+      "documentation": "Citește documentația"
+    },
+    "globalSettings": {
+      "desc": "Suspendă temporar notificările pentru camerele specifice pe toate dispozitivele înregistrate.",
+      "title": "Setări globale"
+    },
+    "email": {
+      "placeholder": "ex. exemplu@email.com",
+      "desc": "Este necesar un email valid, care va fi folosit pentru a te notifica în cazul în care apar probleme cu serviciul de push.",
+      "title": "Email"
+    },
+    "notificationUnavailable": {
+      "documentation": "Citește documentația",
+      "desc": "Notificările push web necesită un context securizat (<code>https://…</code>). Aceasta este o limitare a browserului. Accesează Frigate în mod securizat pentru a putea folosi notificările.",
+      "title": "Notificările nu sunt disponibile"
+    },
+    "cameras": {
+      "title": "Camere",
+      "desc": "Selectează camerele pentru care dorești să activezi notificările.",
+      "noCameras": "Nu există camere disponibile"
+    },
+    "deviceSpecific": "Setări specifice dispozitivului",
+    "registerDevice": "Înregistrează acest dispozitiv",
+    "unregisterDevice": "Deregistrează acest dispozitiv",
+    "sendTestNotification": "Trimite o notificare de test",
+    "suspendTime": {
+      "12hours": "Suspendă pentru 12 ore",
+      "suspend": "Suspendă",
+      "5minutes": "Suspendă pentru 5 minute",
+      "10minutes": "Suspendă pentru 10 minute",
+      "24hours": "Suspendă pentru 24 de ore",
+      "untilRestart": "Suspendă până la restart",
+      "1hour": "Suspendă pentru 1 oră",
+      "30minutes": "Suspendă pentru 30 minute"
+    },
+    "toast": {
+      "success": {
+        "registered": "Înregistrarea pentru notificări a fost realizată cu succes. Este necesară repornirea Frigate înainte ca orice notificare (inclusiv o notificare de test) să poată fi trimisă.",
+        "settingSaved": "Setările notificărilor au fost salvate."
+      },
+      "error": {
+        "registerFailed": "Eroare la salvarea înregistrării notificării."
+      }
+    },
+    "suspended": "Notificări suspendate {{time}}",
+    "active": "Notificări active",
+    "unsavedRegistrations": "Înregistrări notificări nesalvate",
+    "unsavedChanges": "Modificări ale notificărilor nesalvate",
+    "title": "Notificări",
+    "cancelSuspension": "Anulează suspendarea"
+  },
+  "frigatePlus": {
+    "apiKey": {
+      "plusLink": "Citește mai mult despre Frigate+",
+      "desc": "Cheia API Frigate+ permite integrarea cu serviciul Frigate+.",
+      "validated": "Frigate+ API key a fost detectată și validată",
+      "title": "Frigate+ API Key",
+      "notValidated": "Frigate+ API key nu a fost detectată sau nu a fost validată"
+    },
+    "snapshotConfig": {
+      "title": "Configurație snapshot-uri",
+      "table": {
+        "snapshots": "Snapshot-uri",
+        "cleanCopySnapshots": "Snapshot-uri <code>clean_copy</code>",
+        "camera": "Cameră"
+      },
+      "documentation": "Citește documentația",
+      "cleanCopyWarning": "Unele camere au snapshot-uri activate, dar copia curată (clean_copy) este dezactivată. Trebuie să activați <code>clean_copy</code> în configurația instantaneelor pentru a putea trimite imagini de la aceste camere către Frigate+.",
+      "desc": "Trimiterea către Frigate+ necesită ca atât snapshot-urile, cât și snapshot-urile <code>clean_copy</code> să fie activate în configurația ta."
+    },
+    "modelInfo": {
+      "title": "Informații model",
+      "supportedDetectors": "Detectoare suportate",
+      "plusModelType": {
+        "baseModel": "Model de bază",
+        "userModel": "Reglat-fin"
+      },
+      "loadingAvailableModels": "Se încarcă modelele disponibile…",
+      "modelSelect": "Modelele disponibile pe Frigate+ pot fi selectate aici. Rețineți că pot fi selectate doar modelele compatibile cu configurația actuală a detectorului dumneavoastră.",
+      "baseModel": "Model de bază",
+      "loading": "Se încarcă informațiile modelului…",
+      "error": "Încărcarea informațiilor modelului a eșuat",
+      "availableModels": "Modele disponibile",
+      "modelType": "Tip model",
+      "trainDate": "Dată antrenare",
+      "cameras": "Camere"
+    },
+    "toast": {
+      "error": "Nu s-au putut salva modificările configurației: {{errorMessage}}",
+      "success": "Setările Frigate+ au fost salvate. Reporniti Frigate pentru a aplica modificările."
+    },
+    "restart_required": "Repornire necesară (model Frigate+ schimbat)",
+    "unsavedChanges": "Modificări nesalvate ale setărilor Frigate+",
+    "title": "Setări Frigate+"
+  },
+  "motionDetectionTuner": {
+    "unsavedChanges": "Modificări nesalvate la reglajul de mișcare pentru {{camera}}",
+    "Threshold": {
+      "title": "Prag",
+      "desc": "Valoarea pragului determină cât de mare trebuie să fie schimbarea luminozității unui pixel pentru a fi considerată mișcare. <em>Implicit: 30</em>"
+    },
+    "contourArea": {
+      "desc": "Valoarea suprafeței conturului este folosită pentru a decide care grupuri de pixeli modificați se califică ca mișcare. <em>Implicit: 10</em>",
+      "title": "Suprafața conturului"
+    },
+    "improveContrast": {
+      "title": "Îmbunătățire contrast",
+      "desc": "Îmbunătățește contrastul pentru scene întunecate. <em>Implicit: ACTIVAT</em>"
+    },
+    "desc": {
+      "title": "Frigate utilizează detecția mișcării ca o primă verificare, pentru a vedea dacă există ceva semnificativ în cadru care merită verificat cu detecția de obiecte.",
+      "documentation": "Citește ghidul pentru reglajul mișcării"
+    },
+    "toast": {
+      "success": "Setările de mișcare au fost salvate."
+    },
+    "title": "Reglaj detecție mișcare"
+  }
+}
diff --git a/web/public/locales/ro/views/system.json b/web/public/locales/ro/views/system.json
new file mode 100644
index 000000000..5ba80df9c
--- /dev/null
+++ b/web/public/locales/ro/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "storage": "Statistici Stocare - Frigate",
+    "cameras": "Statistici Camere - Frigate",
+    "general": "Statistici Generale - Frigate",
+    "logs": {
+      "go2rtc": "Jurnal Go2RTC - Frigate",
+      "nginx": "Jurnal Nginx - Frigate",
+      "frigate": "Jurnal Frigate - Frigate"
+    },
+    "enrichments": "Statistici îmbogățiri - Frigate"
+  },
+  "general": {
+    "hardwareInfo": {
+      "npuUsage": "Utilizare NPU",
+      "npuMemory": "Memorie NPU",
+      "gpuUsage": "Utilizare GPU",
+      "gpuMemory": "Utilizare Memorie",
+      "title": "Informații hardware",
+      "gpuEncoder": "Codificator GPU",
+      "gpuDecoder": "Decodificator GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "returnCode": "Cod de retur: {{code}}",
+          "processOutput": "Rezultatul procesului:",
+          "title": "Rezultat vainfo",
+          "processError": "Eroare de procesare:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Rezultat Nvidia SMI",
+          "name": "Nume: {{name}}",
+          "driver": "Driver: {{driver}}",
+          "cudaComputerCapability": "Capacitate de calcul CUDA: {{cuda_compute}}",
+          "vbios": "Informații VBios: {{vbios}}"
+        },
+        "copyInfo": {
+          "label": "Copiază informațiile GPU"
+        },
+        "toast": {
+          "success": "Informațiile GPU au fost copiate"
+        },
+        "closeInfo": {
+          "label": "Închide informațiile GPU"
+        }
+      }
+    },
+    "detector": {
+      "temperature": "Temperatura Detectorului",
+      "title": "Detectori",
+      "cpuUsage": "Utilizarea procesorului",
+      "inferenceSpeed": "Viteza de inferență",
+      "memoryUsage": "Utilizare memorie detector"
+    },
+    "otherProcesses": {
+      "title": "Alte Procese",
+      "processCpuUsage": "Utilizare CPU",
+      "processMemoryUsage": "Utilizare memorie"
+    },
+    "title": "General"
+  },
+  "storage": {
+    "recordings": {
+      "title": "Înregistrări",
+      "earliestRecording": "Prima înregistrare disponibilă:",
+      "tips": "Această valoare reprezintă spațiul total de stocare utilizat de înregistrările din baza de date a Frigate. Frigate nu urmărește utilizarea spațiului pentru toate fișierele de pe discul tău."
+    },
+    "title": "Spațiu stocare",
+    "cameraStorage": {
+      "title": "Spațiu stocare camere",
+      "camera": "Camera",
+      "unusedStorageInformation": "Informații despre stocarea neutilizată",
+      "storageUsed": "Spațiu stocare",
+      "percentageOfTotalUsed": "Procent din total",
+      "unused": {
+        "title": "Nefolosit",
+        "tips": "Această valoare este posibil să nu reprezinte cu acuratețe spațiul liber disponibil pentru Frigate dacă ai și alte fișiere stocate pe disc, în afara înregistrărilor Frigate. Frigate nu monitorizează utilizarea spațiului pentru fișiere din afara propriilor sale înregistrări."
+      },
+      "bandwidth": "Lățime de bandă"
+    },
+    "overview": "Prezentare generală"
+  },
+  "title": "Sistem",
+  "logs": {
+    "download": {
+      "label": "Jurnal Descărcări"
+    },
+    "copy": {
+      "label": "Copiază",
+      "success": "Jurnalul a fost copiat",
+      "error": "Jurnalul nu s-a putut copia"
+    },
+    "type": {
+      "label": "Tip",
+      "timestamp": "Data / ora",
+      "tag": "Etichetă",
+      "message": "Mesaj"
+    },
+    "tips": "Jurnalele se transmit de pe server",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Eroare la preluarea jurnalelor: {{errorMessage}}",
+        "whileStreamingLogs": "Eroare la transmiterea jurnalelor: {{errorMessage}}"
+      }
+    }
+  },
+  "metrics": "Metrici de sistem",
+  "enrichments": {
+    "title": "Îmbogățiri",
+    "embeddings": {
+      "image_embedding": "Încorporare imagini",
+      "text_embedding": "Încorporare text",
+      "plate_recognition": "Recunoaștere numere de înmatriculare",
+      "image_embedding_speed": "Viteză încorporare imagini",
+      "face_recognition": "Recunoaștere facială",
+      "face_recognition_speed": "Viteză recunoaștere facială",
+      "plate_recognition_speed": "Viteză recunoaștere numere de înmatriculare",
+      "face_embedding_speed": "Viteză încorporare fețe",
+      "yolov9_plate_detection_speed": "Viteza detectării numerelor de înmatriculare YOLOv9",
+      "text_embedding_speed": "Viteză încorporare text",
+      "yolov9_plate_detection": "Detectare numere de înmatriculare YOLOv9"
+    },
+    "infPerSecond": "Inferențe pe secundă"
+  },
+  "cameras": {
+    "info": {
+      "codec": "Codec:",
+      "resolution": "Rezoluție:",
+      "cameraProbeInfo": "Informații sondare cameră {{camera}}",
+      "streamDataFromFFPROBE": "Datele stream-ului sunt obținute cu <code>ffprobe</code>.",
+      "aspectRatio": "raport aspect",
+      "fetching": "Se preiau datele camerei",
+      "stream": "Stream {{idx}}",
+      "video": "Video:",
+      "audio": "Sunet:",
+      "error": "Eroare:{{error}}",
+      "tips": {
+        "title": "Informații sondă cameră"
+      },
+      "fps": "Cadre/s:",
+      "unknown": "Necunoscut"
+    },
+    "label": {
+      "capture": "capturare",
+      "skipped": "sărite",
+      "overallSkippedDetectionsPerSecond": "Detecții totale sărite pe secundă",
+      "cameraCapture": "captură {{camName}}",
+      "cameraDetect": "detectare {{camName}}",
+      "cameraFramesPerSecond": "cadre pe secundă {{camName}}",
+      "cameraDetectionsPerSecond": "detecții pe secundă {{camName}}",
+      "cameraSkippedDetectionsPerSecond": "detecții sărite pe secundă {{camName}}",
+      "overallFramesPerSecond": "Cadre totale pe secundă",
+      "overallDetectionsPerSecond": "Detecții totale pe secundă",
+      "detect": "detectare",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "camera": "camere",
+      "ffmpeg": "FFmpeg"
+    },
+    "title": "Camere",
+    "overview": "Prezentare generală",
+    "framesAndDetections": "Cadre / Detecții",
+    "toast": {
+      "success": {
+        "copyToClipboard": "Datele sondei au fost copiate."
+      },
+      "error": {
+        "unableToProbeCamera": "Sondarea camerei nu a fost posibilă: {{errorMessage}}"
+      }
+    }
+  },
+  "stats": {
+    "reindexingEmbeddings": "Reindexare încorporări ({{processed}}% completă)",
+    "detectIsVerySlow": "{{detect}} este foarte lent ({{speed}} ms)",
+    "detectIsSlow": "{{detect}} este lent ({{speed}} ms)",
+    "detectHighCpuUsage": "Camera {{camera}} are o utilizare ridicată a procesorului pentru detecție ({{detectAvg}}%)",
+    "ffmpegHighCpuUsage": "Camera {{camera}} are o utilizare ridicată a procesorului FFmpeg ({{ffmpegAvg}}%)",
+    "cameraIsOffline": "{{camera}} este offline",
+    "healthy": "Sistemul funcționează normal"
+  },
+  "lastRefreshed": "Ultima reîmprospătare: "
+}
diff --git a/web/public/locales/ru/audio.json b/web/public/locales/ru/audio.json
new file mode 100644
index 000000000..9f5e58530
--- /dev/null
+++ b/web/public/locales/ru/audio.json
@@ -0,0 +1,429 @@
+{
+  "grunt": "Хрюк",
+  "babbling": "Бормотание",
+  "laughter": "Смех",
+  "choir": "Хор",
+  "mantra": "Мантра",
+  "speech": "Речь",
+  "child_singing": "Детское пение",
+  "whistling": "Свист",
+  "breathing": "Дыхание",
+  "synthetic_singing": "Синтетическое пение",
+  "rapping": "Рэп",
+  "yell": "Крик",
+  "humming": "Гудение",
+  "groan": "Стон",
+  "bellow": "Рёв",
+  "whispering": "Шёпот",
+  "whoop": "Возглас",
+  "crying": "Плач",
+  "yodeling": "Йодль (пение)",
+  "snicker": "Смешок",
+  "sigh": "Сигнал",
+  "singing": "Пение",
+  "wheeze": "Хрип",
+  "snoring": "Храп",
+  "gasp": "Вздох",
+  "pant": "Пыхтение",
+  "snort": "Фырканье",
+  "sniff": "Нюхание",
+  "burping": "Отрыжка",
+  "cough": "Кашель",
+  "run": "Бег",
+  "throat_clearing": "Прочистка горла",
+  "sneeze": "Чихание",
+  "shuffle": "Шаркание",
+  "chewing": "Жевание",
+  "biting": "Кусание",
+  "gargling": "Полоскание горла",
+  "stomach_rumble": "Урчание живота",
+  "hiccup": "Икание",
+  "fart": "Пукание",
+  "footsteps": "Шаги",
+  "chant": "Песнопение",
+  "hands": "Руки",
+  "finger_snapping": "Щелкать пальцами",
+  "clapping": "Хлопать",
+  "moo": "Мычание",
+  "cowbell": "Коровий колокольчик",
+  "heart_murmur": "Сердечный шум",
+  "cheering": "Ликование",
+  "applause": "Аплодисменты",
+  "chatter": "Болтовня",
+  "crowd": "Толпа",
+  "children_playing": "Игра детей",
+  "animal": "Животное",
+  "pets": "Домашние животные",
+  "dog": "Собака",
+  "bark": "Лай",
+  "yip": "Тявканье",
+  "howl": "Вой",
+  "whimper_dog": "Собачий скулеж",
+  "cat": "Кошка",
+  "purr": "Мурлыканье",
+  "meow": "Мяуканье",
+  "hiss": "Шипение",
+  "growling": "Рычание",
+  "bow_wow": "Гавканье",
+  "heartbeat": "Сердцебиение",
+  "caterwaul": "Кошачий вой",
+  "horse": "Лошадь",
+  "clip_clop": "Цоканье",
+  "neigh": "Ржание",
+  "livestock": "Скот",
+  "cattle": "Крупный рогатый скот",
+  "pig": "Свинья",
+  "oink": "Хрюканье",
+  "bleat": "Блеяние",
+  "sheep": "Овца",
+  "fowl": "Домашняя птица",
+  "goat": "Коза",
+  "chicken": "Курица",
+  "cluck": "Кудахтанье",
+  "cock_a_doodle_doo": "Кукареканье",
+  "turkey": "Индейка",
+  "gobble": "Бормотание индейки",
+  "duck": "Утка",
+  "quack": "Кряканье",
+  "goose": "Гусь",
+  "honk": "Гоготание",
+  "wild_animals": "Дикие животные",
+  "roaring_cats": "Рычащие кошки",
+  "roar": "Рык",
+  "chirp": "Чириканье",
+  "squawk": "Птичий крик",
+  "pigeon": "Голубь",
+  "coo": "Воркование",
+  "crow": "Ворона",
+  "caw": "Карканье",
+  "owl": "Сова",
+  "hoot": "Уханье",
+  "flapping_wings": "Хлопание крыльев",
+  "dogs": "Собаки",
+  "rats": "Крысы",
+  "mouse": "Мышь",
+  "insect": "Насекомое",
+  "cricket": "Сверчок",
+  "mosquito": "Комар",
+  "fly": "Муха",
+  "buzz": "Жужжание",
+  "frog": "Лягушка",
+  "croak": "Кваканье",
+  "snake": "Змея",
+  "rattle": "Треск",
+  "music": "Музыка",
+  "musical_instrument": "Музыкальный инструмент",
+  "whale_vocalization": "Пение кита",
+  "plucked_string_instrument": "Щипковый струнный инструмент",
+  "guitar": "Гитара",
+  "patter": "Шорох",
+  "bass_guitar": "Бас-гитара",
+  "steel_guitar": "Стальная гитара",
+  "tapping": "Постукивание",
+  "car": "Автомобиль",
+  "motorcycle": "Мотоцикл",
+  "bicycle": "Велосипед",
+  "bird": "Птица",
+  "electric_guitar": "Электрогитара",
+  "acoustic_guitar": "Акустическая гитара",
+  "scream": "Крик",
+  "strum": "Звук струн",
+  "banjo": "Банджо",
+  "zither": "Цитра",
+  "ukulele": "Укулеле",
+  "keyboard": "Клавиатура",
+  "electric_piano": "Электропианино",
+  "organ": "Орган",
+  "electronic_organ": "Электроорган",
+  "synthesizer": "Синтезатор",
+  "hammond_organ": "Орган Хаммонда",
+  "sampler": "Сэмплер",
+  "harpsichord": "Клавесин",
+  "percussion": "Ударные инструменты",
+  "drum_kit": "Ударная установка",
+  "drum_machine": "Драммашина",
+  "drum": "Барабан",
+  "snare_drum": "Малый барабан",
+  "rimshot": "Обод барабана",
+  "drum_roll": "Барабанная дробь",
+  "bass_drum": "Бас-барабан",
+  "timpani": "Литавры",
+  "tabla": "Табла",
+  "cymbal": "Тарелка",
+  "hi_hat": "Хай-хэт",
+  "wood_block": "Вуд-блок",
+  "tambourine": "Бубен",
+  "maraca": "Маракас",
+  "gong": "Гонг",
+  "tubular_bells": "Трубчатые колокола",
+  "mallet_percussion": "Маллет-перкуссия",
+  "marimba": "Маримба",
+  "glockenspiel": "Колокольчики",
+  "vibraphone": "Вибрафон",
+  "steelpan": "Стальной барабан",
+  "orchestra": "Оркестр",
+  "brass_instrument": "Медный духовой инструмент",
+  "french_horn": "Валторна",
+  "trumpet": "Труба",
+  "trombone": "Тромбон",
+  "bowed_string_instrument": "Смычковый струнный инструмент",
+  "string_section": "Струнная секция",
+  "mandolin": "Мандолина",
+  "piano": "Пианино",
+  "sitar": "Ситар",
+  "violin": "Скрипка",
+  "pizzicato": "Пиццикато",
+  "cello": "Виолончель",
+  "double_bass": "Контрабас",
+  "wind_instrument": "Духовой инструмент",
+  "flute": "Флейта",
+  "saxophone": "Саксофон",
+  "clarinet": "Кларнет",
+  "harp": "Арфа",
+  "bell": "Колокол",
+  "church_bell": "Церковный колокол",
+  "jingle_bell": "Бубенчик",
+  "bicycle_bell": "Велосипедный звонок",
+  "tuning_fork": "Камертон",
+  "chime": "Колокольчик",
+  "wind_chime": "Музыка ветра",
+  "harmonica": "Губная гармошка",
+  "accordion": "Аккордеон",
+  "bagpipes": "Волынка",
+  "didgeridoo": "Диджериду",
+  "theremin": "Терменвокс",
+  "singing_bowl": "Поющая чаша",
+  "scratching": "Скрэтчинг",
+  "pop_music": "Поп-музыка",
+  "hip_hop_music": "Хип-хоп",
+  "beatboxing": "Битбоксинг",
+  "rock_music": "Рок-музыка",
+  "heavy_metal": "Хеви-метал",
+  "punk_rock": "Панк-рок",
+  "grunge": "Гранж",
+  "progressive_rock": "Прогрессив-рок",
+  "rock_and_roll": "Рок-н-ролл",
+  "psychedelic_rock": "Психоделический рок",
+  "rhythm_and_blues": "Ритм-н-блюз",
+  "soul_music": "Соул",
+  "bluegrass": "Блюграсс",
+  "funk": "Фанк",
+  "middle_eastern_music": "Ближневосточная музыка",
+  "jazz": "Джаз",
+  "disco": "Диско",
+  "classical_music": "Классическая музыка",
+  "opera": "Опера",
+  "house_music": "Хаус",
+  "techno": "Техно",
+  "dubstep": "Дабстеп",
+  "drum_and_bass": "Драм-н-бейс",
+  "electronica": "Электроника",
+  "electronic_dance_music": "Электронная танцевальная музыка",
+  "ambient_music": "Эмбиент",
+  "music_of_latin_america": "Латиноамериканская музыка",
+  "salsa_music": "Сальса",
+  "flamenco": "Фламенко",
+  "blues": "Блюз",
+  "music_for_children": "Детская музыка",
+  "new-age_music": "Нью-эйдж",
+  "a_capella": "А капелла",
+  "music_of_africa": "Африканская музыка",
+  "afrobeat": "Афробит",
+  "christian_music": "Христианская музыка",
+  "gospel_music": "Госпел",
+  "music_of_asia": "Азиатская музыка",
+  "carnatic_music": "Карнатическая музыка",
+  "music_of_bollywood": "Музыка Болливуда",
+  "ska": "Ска",
+  "traditional_music": "Традиционная музыка",
+  "independent_music": "Инди",
+  "song": "Песня",
+  "background_music": "Фоновая музыка",
+  "theme_music": "Тематическая музыка",
+  "jingle": "Джингл",
+  "soundtrack_music": "Саундтрек",
+  "lullaby": "Колыбельная",
+  "video_game_music": "Музыка из видеоигр",
+  "christmas_music": "Рождественская музыка",
+  "dance_music": "Танцевальная музыка",
+  "wedding_music": "Свадебная музыка",
+  "happy_music": "Весёлая музыка",
+  "sad_music": "Грустная музыка",
+  "tender_music": "Нежная музыка",
+  "exciting_music": "Энергичная музыка",
+  "angry_music": "Агрессивная музыка",
+  "scary_music": "Жуткая музыка",
+  "wind": "Ветер",
+  "rustling_leaves": "Шуршание листьев",
+  "wind_noise": "Шум ветра",
+  "thunderstorm": "Гроза",
+  "thunder": "Гром",
+  "water": "Вода",
+  "rain": "Дождь",
+  "raindrop": "Капли дождя",
+  "rain_on_surface": "Дождь на поверхности",
+  "stream": "Поток",
+  "waterfall": "Водопад",
+  "gurgling": "Журчание",
+  "fire": "Огонь",
+  "crackle": "Потрескивание",
+  "vehicle": "Транспорт",
+  "boat": "Лодка",
+  "sailboat": "Парусник",
+  "rowboat": "Вёсельная лодка",
+  "motorboat": "Моторная лодка",
+  "ship": "Корабль",
+  "motor_vehicle": "Моторный транспорт",
+  "power_windows": "Электростеклоподъемники",
+  "skidding": "Занос",
+  "tire_squeal": "Визг шин",
+  "car_passing_by": "Проезжающая машина",
+  "race_car": "Гоночный автомобиль",
+  "truck": "Грузовик",
+  "air_brake": "Пневматический тормоз",
+  "air_horn": "Пневматический гудок",
+  "reversing_beeps": "Сигнал заднего хода",
+  "ice_cream_truck": "Грузовик с мороженым",
+  "bus": "Автобус",
+  "emergency_vehicle": "Транспорт экстренных служб",
+  "police_car": "Полицейский автомобиль",
+  "fire_engine": "Пожарная машина",
+  "rail_transport": "Рельсовый транспорт",
+  "train": "Поезд",
+  "train_whistle": "Свисток поезда",
+  "train_horn": "Гудок поезда",
+  "railroad_car": "Железнодорожный вагон",
+  "train_wheels_squealing": "Визг колес поезда",
+  "subway": "Метро",
+  "aircraft": "Воздушное судно",
+  "aircraft_engine": "Двигатель воздушного судна",
+  "jet_engine": "Реактивный двигатель",
+  "propeller": "Пропеллер",
+  "fixed-wing_aircraft": "Самолет с неподвижным крылом",
+  "skateboard": "Скейтборд",
+  "engine": "Двигатель",
+  "light_engine": "Легкий двигатель",
+  "dental_drill's_drill": "Стоматологическая бормашина",
+  "medium_engine": "Средний двигатель",
+  "heavy_engine": "Тяжёлый двигатель",
+  "engine_knocking": "Детонация двигателя",
+  "engine_starting": "Запуск двигателя",
+  "idling": "Холостой ход",
+  "accelerating": "Ускорение",
+  "ding-dong": "Дин-дон",
+  "sliding_door": "Раздвижная дверь",
+  "slam": "Хлопок",
+  "knock": "Стук",
+  "tap": "Небольшой стук",
+  "squeak": "Скрип",
+  "cupboard_open_or_close": "Открытие или закрытие шкафа",
+  "drawer_open_or_close": "Открытие или закрытие ящика",
+  "dishes": "Тарелки",
+  "cutlery": "Столовые приборы",
+  "chopping": "Нарезание",
+  "frying": "Жарка",
+  "microwave_oven": "Микроволновка",
+  "blender": "Блендер",
+  "water_tap": "Водопроводный кран",
+  "sink": "Раковина",
+  "bathtub": "Ванна",
+  "hair_dryer": "Фен",
+  "toilet_flush": "Слив унитаза",
+  "toothbrush": "Зубная щетка",
+  "zipper": "Молния на одежде",
+  "keys_jangling": "Бряканье ключей",
+  "coin": "Монета",
+  "scissors": "Ножницы",
+  "electric_shaver": "Электробритва",
+  "shuffling_cards": "Тасование карт",
+  "typing": "Печатание",
+  "typewriter": "Печатная машинка",
+  "computer_keyboard": "Компьютерная клавиатура",
+  "writing": "Письмо",
+  "alarm": "Сигнализация",
+  "telephone": "Телефон",
+  "telephone_bell_ringing": "Звонок телефона",
+  "ringtone": "Рингтон",
+  "telephone_dialing": "Набор телефонного номера",
+  "dial_tone": "Телефонный гудок",
+  "busy_signal": "Сигнал занято",
+  "alarm_clock": "Будильник",
+  "siren": "Сирена",
+  "civil_defense_siren": "Сирена гражданской обороны",
+  "foghorn": "Туманный горн",
+  "whistle": "Свисток",
+  "steam_whistle": "Паровой свисток",
+  "mechanisms": "Механизмы",
+  "clock": "Часы",
+  "tick": "Тик",
+  "tick-tock": "Тик-так",
+  "gears": "Шестерни",
+  "pulleys": "Шкивы",
+  "sewing_machine": "Швейная машинка",
+  "mechanical_fan": "Механический вентилятор",
+  "printer": "Принтер",
+  "camera": "Камера",
+  "single-lens_reflex_camera": "Зеркальная камера",
+  "tools": "Инструменты",
+  "sawing": "Распиловка",
+  "filing": "Звук напильника",
+  "sanding": "Шлифовка",
+  "power_tool": "Электроинструмент",
+  "drill": "Дрель",
+  "explosion": "Взрыв",
+  "gunshot": "Выстрел",
+  "machine_gun": "Автомат",
+  "fusillade": "Оружейная очередь",
+  "artillery_fire": "Артиллерийский огонь",
+  "burst": "Очередь выстрелов",
+  "eruption": "Извержение",
+  "boom": "Бум",
+  "wood": "Дерево",
+  "chop": "Рубка",
+  "splinter": "Щепка",
+  "glass": "Стекло",
+  "crack": "Трещина",
+  "chink": "Звон",
+  "shatter": "Разбитие",
+  "silence": "Тишина",
+  "sound_effect": "Звуковой эффект",
+  "environmental_noise": "Шум окружающей среды",
+  "static": "Статический шум",
+  "field_recording": "Полевая запись",
+  "country": "Кантри",
+  "vocal_music": "Вокальная музыка",
+  "electronic_music": "Электронная музыка",
+  "folk_music": "Фолк-музыка",
+  "trance_music": "Транс",
+  "swing_music": "Свинг",
+  "reggae": "Регги",
+  "waves": "Волны",
+  "ambulance": "Скорая помощь",
+  "helicopter": "Вертолет",
+  "radio": "Радио",
+  "lawn_mower": "Газонокосилка",
+  "electric_toothbrush": "Электрическая зубная щетка",
+  "air_conditioning": "Кондиционер",
+  "toot": "Гудок",
+  "traffic_noise": "Дорожный шум",
+  "ocean": "Океан",
+  "steam": "Пар",
+  "car_alarm": "Автомобильная сигнализация",
+  "buzzer": "Зуммер",
+  "chainsaw": "Цепная пила",
+  "door": "Дверь",
+  "doorbell": "Дверной звонок",
+  "smoke_detector": "Датчик дыма",
+  "white_noise": "Белый шум",
+  "cash_register": "Касса",
+  "vacuum_cleaner": "Пылесос",
+  "fire_alarm": "Пожарная сигнализация",
+  "ratchet": "Трещотка",
+  "cap_gun": "Игрушечный пистолет",
+  "fireworks": "Фейерверк",
+  "jackhammer": "Отбойный молоток",
+  "pink_noise": "Розовый шум",
+  "hammer": "Молоток",
+  "firecracker": "Петарда",
+  "television": "Телевидение"
+}
diff --git a/web/public/locales/ru/common.json b/web/public/locales/ru/common.json
new file mode 100644
index 000000000..92ee6cf94
--- /dev/null
+++ b/web/public/locales/ru/common.json
@@ -0,0 +1,275 @@
+{
+  "time": {
+    "untilForTime": "До {{time}}",
+    "untilForRestart": "До перезапуска Frigate.",
+    "untilRestart": "До перезапуска",
+    "ago": "{{timeAgo}} назад",
+    "justNow": "Только что",
+    "today": "Сегодня",
+    "yesterday": "Вчера",
+    "thisWeek": "На этой неделе",
+    "last14": "Последние 14 дней",
+    "last30": "Последние 30 дней",
+    "last7": "Последние 7 дней",
+    "thisMonth": "В этом месяце",
+    "5minutes": "5 минут",
+    "30minutes": "30 минут",
+    "1hour": "1 час",
+    "12hours": "12 часов",
+    "24hours": "24 часа",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}} л",
+    "year_one": "{{time}} год",
+    "year_few": "{{time}} года",
+    "year_many": "{{time}} лет",
+    "mo": "{{time}} мес",
+    "month_one": "{{time}} месяц",
+    "month_few": "{{time}} месяца",
+    "month_many": "{{time}} месяцев",
+    "d": "{{time}} д",
+    "h": "{{time}} ч",
+    "hour_one": "{{time}} час",
+    "hour_few": "{{time}} часа",
+    "hour_many": "{{time}} часов",
+    "m": "{{time}} мин",
+    "minute_one": "{{time}} минута",
+    "minute_few": "{{time}} минуты",
+    "minute_many": "{{time}} минут",
+    "day_one": "{{time}} день",
+    "day_few": "{{time}} дня",
+    "day_many": "{{time}} дней",
+    "lastWeek": "На прошлой неделе",
+    "lastMonth": "В прошлом месяце",
+    "10minutes": "10 минут",
+    "s": "{{time}} с",
+    "second_one": "{{time}} секунда",
+    "second_few": "{{time}} секунды",
+    "second_many": "{{time}} секунд",
+    "formattedTimestampExcludeSeconds": {
+      "24hour": "%b %-d, %H:%M",
+      "12hour": "%b %-d, %I:%M %p"
+    },
+    "formattedTimestampWithYear": {
+      "24hour": "%b %-d %Y, %H:%M",
+      "12hour": "%b %-d %Y, %I:%M %p"
+    },
+    "formattedTimestamp2": {
+      "24hour": "d MMM HH:mm:ss",
+      "12hour": "dd/MM h:mm:ssa"
+    },
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%b %-d",
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampFilename": {
+      "24hour": "dd-MM-yy-HH-mm-ss",
+      "12hour": "dd-MM-yy-h-mm-ss-a"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    }
+  },
+  "selectItem": "Выбор {{item}}",
+  "button": {
+    "apply": "Применить",
+    "done": "Готово",
+    "enabled": "Включено",
+    "enable": "Включить",
+    "save": "Сохранить",
+    "saving": "Сохранение…",
+    "fullscreen": "Полноэкранный режим",
+    "pictureInPicture": "Картинка в картинке",
+    "twoWayTalk": "Двусторонняя связь",
+    "cameraAudio": "Аудио с камеры",
+    "on": "Вкл",
+    "edit": "Редактировать",
+    "copyCoordinates": "Скопировать координаты",
+    "delete": "Удалить",
+    "yes": "Да",
+    "no": "Нет",
+    "download": "Загрузить",
+    "info": "Информация",
+    "suspended": "Приостановлено",
+    "cancel": "Отменить",
+    "disable": "Отключить",
+    "reset": "Сбросить",
+    "disabled": "Отключено",
+    "close": "Закрыть",
+    "copy": "Скопировать",
+    "back": "Назад",
+    "history": "История",
+    "off": "Выкл",
+    "exitFullscreen": "Выйти из полноэкранного режима",
+    "unsuspended": "Возобновить",
+    "play": "Воспроизвести",
+    "unselect": "Снять выбор",
+    "export": "Экспортировать",
+    "deleteNow": "Удалить сейчас",
+    "next": "Следующий"
+  },
+  "label": {
+    "back": "Вернуться"
+  },
+  "unit": {
+    "speed": {
+      "kph": "км/ч",
+      "mph": "миль/ч"
+    },
+    "length": {
+      "meters": "метры",
+      "feet": "футы"
+    }
+  },
+  "menu": {
+    "configuration": "Конфигурация",
+    "systemLogs": "Логи системы",
+    "settings": "Настройки",
+    "configurationEditor": "Редактор конфигурации",
+    "system": "Система",
+    "systemMetrics": "Метрики системы",
+    "languages": "Языки",
+    "language": {
+      "en": "English (Английский)",
+      "zhCN": "简体中文 (Упрощённый китайский)",
+      "es": "Español (Испанский)",
+      "hi": "हिन्दी (Хинди)",
+      "fr": "Français (Французский)",
+      "ar": "العربية (Арабский)",
+      "pt": "Português (Португальский)",
+      "ru": "Русский",
+      "tr": "Türkçe (Турецкий)",
+      "nl": "Nederlands (Нидерландский)",
+      "cs": "Čeština (Чешский)",
+      "nb": "Norsk Bokmål (Норвежский (букмол))",
+      "vi": "Tiếng Việt (Вьетнамский)",
+      "fa": "فارسی (Фарси)",
+      "pl": "Polski (Польский)",
+      "uk": "Українська (Украинский)",
+      "el": "Ελληνικά (Греческий)",
+      "da": "Dansk (Датский)",
+      "sk": "Slovenčina (Словацкий)",
+      "sv": "Svenska (Шведский)",
+      "hu": "Magyar (Венгерский)",
+      "fi": "Suomi (Финский)",
+      "ro": "Română (Румынский)",
+      "ja": "日本語 (Японский)",
+      "it": "Italiano (Итальянский)",
+      "de": "Deutsch (Немецкий)",
+      "ko": "한국어 (Корейский)",
+      "he": "עברית (Иврит)",
+      "withSystem": {
+        "label": "Использовать системные настройки языка"
+      },
+      "yue": "粵語 (Кантонский)",
+      "th": "ไทย (Тайский)",
+      "ca": "Català (Каталонский)"
+    },
+    "darkMode": {
+      "withSystem": {
+        "label": "Использовать системные настройки светлой/тёмной темы"
+      },
+      "label": "Тёмный режим",
+      "light": "Светлый",
+      "dark": "Тёмный"
+    },
+    "withSystem": "Системный",
+    "theme": {
+      "label": "Тема",
+      "blue": "Синяя",
+      "default": "По умолчанию",
+      "green": "Зелёная",
+      "nord": "Северная",
+      "red": "Красная",
+      "contrast": "Высокий контраст",
+      "highcontrast": "Контрастная"
+    },
+    "help": "Помощь",
+    "documentation": {
+      "title": "Документация",
+      "label": "Документация по Frigate"
+    },
+    "explore": "Поиск событий",
+    "restart": "Перезапуск Frigate",
+    "live": {
+      "title": "Прямой эфир",
+      "allCameras": "Все камеры",
+      "cameras": {
+        "count_one": "{{count}} камера",
+        "count_few": "{{count}} камеры",
+        "count_many": "{{count}} камер",
+        "title": "Камеры"
+      }
+    },
+    "review": "Обзор событий",
+    "export": "Экспортировать",
+    "uiPlayground": "Среда тестирования интерфейсов",
+    "faceLibrary": "Библиотека лиц",
+    "user": {
+      "title": "Пользователь",
+      "account": "Аккаунт",
+      "current": "Текущий пользователь: {{user}}",
+      "anonymous": "anonymous",
+      "logout": "Выход",
+      "setPassword": "Установить пароль"
+    },
+    "appearance": "Внешний вид"
+  },
+  "pagination": {
+    "label": "пагинация",
+    "previous": {
+      "title": "Предыдущая",
+      "label": "Переход на предыдущую страницу"
+    },
+    "next": {
+      "title": "Следующая",
+      "label": "Переход на следующую страницу"
+    },
+    "more": "Больше страниц"
+  },
+  "accessDenied": {
+    "desc": "У вас нет разрешения на просмотр этой страницы.",
+    "documentTitle": "Доступ запрещён - Frigate",
+    "title": "Доступ запрещён"
+  },
+  "notFound": {
+    "desc": "Страница не найдена",
+    "documentTitle": "Не найдена - Frigate",
+    "title": "404"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL скопирован в буфер обмена.",
+    "save": {
+      "error": {
+        "noMessage": "Не удалось сохранить изменения конфигурации",
+        "title": "Не удалось сохранить изменения конфигурации: {{errorMessage}}"
+      },
+      "title": "Сохранить"
+    }
+  },
+  "role": {
+    "title": "Роль",
+    "admin": "Администратор",
+    "viewer": "Наблюдатель",
+    "desc": "Администраторы имеют полный доступ ко всем функциям в интерфейсе Frigate. Наблюдатели ограничены просмотром камер, элементов просмотра и архивных записей."
+  }
+}
diff --git a/web/public/locales/ru/components/auth.json b/web/public/locales/ru/components/auth.json
new file mode 100644
index 000000000..b227af835
--- /dev/null
+++ b/web/public/locales/ru/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Имя пользователя",
+    "password": "Пароль",
+    "login": "Логин",
+    "errors": {
+      "usernameRequired": "Необходимо ввести имя пользователя",
+      "passwordRequired": "Необходимо ввести пароль",
+      "rateLimit": "Превышение числа попыток. Попробуй еще раз позже.",
+      "loginFailed": "Ошибка входа",
+      "unknownError": "Неизвестная ошибка. Проверьте логи.",
+      "webUnknownError": "Неизвестная ошибка. Проверьте логи консоли."
+    }
+  }
+}
diff --git a/web/public/locales/ru/components/camera.json b/web/public/locales/ru/components/camera.json
new file mode 100644
index 000000000..3059b83f0
--- /dev/null
+++ b/web/public/locales/ru/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Группы камер",
+    "add": "Добавить группу камер",
+    "edit": "Редактирование группы камер",
+    "delete": {
+      "label": "Удалить группу камер",
+      "confirm": {
+        "title": "Подтвердить удаление",
+        "desc": "Вы уверены, что хотите удалить группу камер <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Название",
+      "placeholder": "Введите название…",
+      "errorMessage": {
+        "exists": "Такое название группы камер уже существует.",
+        "nameMustNotPeriod": "Название группы камер не должно содержать точки.",
+        "invalid": "Неверное название группы камер.",
+        "mustLeastCharacters": "Название группы камер должно содержать не менее 2 символов."
+      }
+    },
+    "cameras": {
+      "label": "Камеры",
+      "desc": "Выберите камеры для этой группы."
+    },
+    "icon": "Иконка",
+    "success": "Группа камер {{name}} сохранена.",
+    "camera": {
+      "setting": {
+        "label": "Настройки видеопотока",
+        "desc": "Изменение параметров прямой трансляции для панели этой группы камер. <em>Эти настройки зависят от устройства/браузера.</em>",
+        "audioIsAvailable": "Для этого потока доступен звук",
+        "audioIsUnavailable": "Для этого потока звук недоступен",
+        "audio": {
+          "tips": {
+            "title": "Аудио должно выводиться с вашей камеры и быть настроено в go2rtc для этого потока.",
+            "document": "Читать документацию "
+          }
+        },
+        "streamMethod": {
+          "label": "Метод стриминга",
+          "method": {
+            "noStreaming": {
+              "label": "Нет потока",
+              "desc": "Кадры с камеры обновляются раз в минуту, без прямой трансляции."
+            },
+            "smartStreaming": {
+              "label": "Умный поток (рекомендуется)",
+              "desc": "Для экономии ресурсов поток обновляется раз в минуту. При обнаружении активности автоматически активируется прямая трансляция."
+            },
+            "continuousStreaming": {
+              "label": "Непрерывный поток",
+              "desc": {
+                "warning": "Непрерывная потоковая передача может привести к высокому потреблению трафика и проблемам с производительностью. Используйте с осторожностью.",
+                "title": "Когда изображение выводится на панель, оно всегда обновляется в режиме реального времени, вне зависимости от обнаружения активности."
+              }
+            }
+          },
+          "placeholder": "Выберите способ потоковой передачи"
+        },
+        "compatibilityMode": {
+          "label": "Режим совместимости",
+          "desc": "Активируйте эту настройку только при появлении цветовых искажений или диагональной полосы с правого края в прямой трансляции."
+        },
+        "title": "Настройки видеопотока {{cameraName}}",
+        "stream": "Поток",
+        "placeholder": "Выбрать поток"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Настройки",
+      "title": "Опции",
+      "hideOptions": "Скрыть опции",
+      "showOptions": "Показать опции"
+    },
+    "boundingBox": "Ограничивающая рамка",
+    "timestamp": "Метка времени",
+    "zones": "Зоны",
+    "mask": "Маска",
+    "motion": "Движение",
+    "regions": "Регионы"
+  }
+}
diff --git a/web/public/locales/ru/components/dialog.json b/web/public/locales/ru/components/dialog.json
new file mode 100644
index 000000000..078a37a97
--- /dev/null
+++ b/web/public/locales/ru/components/dialog.json
@@ -0,0 +1,126 @@
+{
+  "restart": {
+    "title": "Вы уверены, что хотите перезапустить Frigate?",
+    "button": "Перезапуск",
+    "restarting": {
+      "title": "Frigate перезапускается",
+      "content": "Эта страница перезагрузится через {{countdown}} сек.",
+      "button": "Принудительная перезагрузка"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Отправить в Frigate+",
+        "desc": "Объекты в местах, которых вы хотите избежать, не являются ложными срабатываниями. Отправка их как ложных срабатываний запутает модель."
+      },
+      "review": {
+        "true": {
+          "label": "Подтвердите метку для Frigate Plus",
+          "true_one": "Это {{label}}",
+          "true_few": "Это {{label}}",
+          "true_many": "Это {{label}}"
+        },
+        "false": {
+          "label": "Не подтверждать эту метку для Frigate Plus",
+          "false_one": "Это не {{label}}",
+          "false_few": "Это не {{label}}",
+          "false_many": "Это не {{label}}"
+        },
+        "state": {
+          "submitted": "Отправлено"
+        },
+        "question": {
+          "ask_an": "Это объект — <code>{{label}}</code> ?",
+          "label": "Подтвердить эту метку для Frigate Plus",
+          "ask_a": "Это объект — <code>{{label}}</code>?",
+          "ask_full": "Это объект — <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Посмотреть в истории"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Выбрать на таймлайне",
+      "custom": "Пользовательский",
+      "start": {
+        "title": "Время начала",
+        "label": "Выберите время начала"
+      },
+      "end": {
+        "title": "Время окончания",
+        "label": "Выберите время окончания"
+      },
+      "lastHour_one": "Последний час",
+      "lastHour_few": "Последние {{count}} часа",
+      "lastHour_many": "Последние {{count}} часов"
+    },
+    "name": {
+      "placeholder": "Введите название для экспорта"
+    },
+    "select": "Выбрать",
+    "export": "Экспорт",
+    "selectOrExport": "Выбрать или экспортировать",
+    "toast": {
+      "success": "Экспорт успешно запущен. Файл доступен в папке /exports.",
+      "error": {
+        "failed": "Не удалось запустить экспорт: {{error}}",
+        "noVaildTimeSelected": "Не выбран допустимый временной диапазон",
+        "endTimeMustAfterStartTime": "Время окончания должно быть после времени начала"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Сохранить экспорт",
+      "previewExport": "Предпросмотр экспорта"
+    }
+  },
+  "streaming": {
+    "label": "Поток",
+    "restreaming": {
+      "disabled": "Рестриминг не включён для этой камеры.",
+      "desc": {
+        "title": "Настройте go2rtc для дополнительных вариантов просмотра в реальном времени и аудио для этой камеры.",
+        "readTheDocumentation": "Читать документацию"
+      }
+    },
+    "debugView": "Режим отладки",
+    "showStats": {
+      "label": "Отображение статистики потока",
+      "desc": "Включите эту опцию, чтобы отображать статистику потока в виде наложения на изображение с камеры."
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Сохранить поиск",
+      "placeholder": "Введите название для вашего поиска",
+      "overwrite": "{{searchName}} уже существует. Сохранение перезапишет существующее значение.",
+      "success": "Поиск {{searchName}} был сохранен.",
+      "button": {
+        "save": {
+          "label": "Сохранить этот поиск"
+        }
+      },
+      "desc": "Укажите название этого сохранённого поиска."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Подтвердить удаление",
+      "desc": {
+        "selected": "Вы уверены, что хотите удалить все записанное видео, связанное с этим элементом просмотра?<br /><br />Удерживайте клавишу <em>Shift</em>, чтобы пропустить это окно в будущем."
+      },
+      "toast": {
+        "error": "Не удалось удалить: {{error}}",
+        "success": "Видеоматериалы, связанные с выбранными предметами просмотра, были успешно удалены."
+      }
+    },
+    "button": {
+      "export": "Экспорт",
+      "markAsReviewed": "Пометить как просмотренное",
+      "deleteNow": "Удалить сейчас"
+    }
+  }
+}
diff --git a/web/public/locales/ru/components/filter.json b/web/public/locales/ru/components/filter.json
new file mode 100644
index 000000000..024ebe02c
--- /dev/null
+++ b/web/public/locales/ru/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "filter": "Фильтр",
+  "labels": {
+    "label": "Метки",
+    "all": {
+      "title": "Все метки",
+      "short": "Метки"
+    },
+    "count": "{{count}} меток",
+    "count_one": "{{count}} Метка",
+    "count_other": "{{count}} меток"
+  },
+  "zones": {
+    "all": {
+      "title": "Все зоны",
+      "short": "Зоны"
+    },
+    "label": "Зоны"
+  },
+  "dates": {
+    "all": {
+      "title": "Все даты",
+      "short": "Даты"
+    },
+    "selectPreset": "Период…"
+  },
+  "timeRange": "Временной диапазон",
+  "subLabels": {
+    "label": "Дополнительные метки",
+    "all": "Все дополнительные метки"
+  },
+  "score": "Оценка",
+  "estimatedSpeed": "Расчетная скорость ({{unit}})",
+  "more": "Больше фильтров",
+  "reset": {
+    "label": "Сброс фильтров к значениям по умолчанию"
+  },
+  "features": {
+    "hasSnapshot": "Есть снимок",
+    "hasVideoClip": "Есть видеоклип",
+    "submittedToFrigatePlus": {
+      "label": "Отправлено в Frigate+",
+      "tips": "Сначала необходимо отфильтровать отслеживаемые объекты, у которых есть снимок.<br /><br />Отслеживаемые объекты без снимка нельзя отправить в Frigate+."
+    },
+    "label": "Функции"
+  },
+  "sort": {
+    "speedAsc": "Расчетная скорость (по возрастанию)",
+    "speedDesc": "Расчетная скорость (по убыванию)",
+    "label": "Сортировка",
+    "dateAsc": "Дата (по возрастанию)",
+    "dateDesc": "Дата (по убыванию)",
+    "scoreAsc": "Оценка объекта (по возрастанию)",
+    "scoreDesc": "Оценка объекта (по убыванию)",
+    "relevance": "Релевантность"
+  },
+  "cameras": {
+    "label": "Фильтр камер",
+    "all": {
+      "title": "Все камеры",
+      "short": "Камеры"
+    }
+  },
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "unfilteredGrid": "Нефильтрованная сетка",
+        "summary": "Сводка",
+        "title": "Вид по умолчанию",
+        "desc": "При отсутствии выбранных фильтров отображать сводку последних отслеживаемых объектов для каждой метки или показывать нефильтрованную сетку."
+      },
+      "gridColumns": {
+        "title": "Столбцы сетки",
+        "desc": "Выберите количество столбцов сетки."
+      },
+      "searchSource": {
+        "label": "Источник поиска",
+        "desc": "Выберите, выполнять поиск по миниатюрам или описаниям отслеживаемых объектов.",
+        "options": {
+          "thumbnailImage": "Изображение миниатюры",
+          "description": "Описание"
+        }
+      },
+      "title": "Настройки"
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Выберите дату для фильтрации"
+      }
+    }
+  },
+  "logSettings": {
+    "filterBySeverity": "Фильтровать логи по уровню важности",
+    "loading": {
+      "title": "Загрузка",
+      "desc": "При прокрутке панели логов в самый низ новые записи автоматически отображаются по мере их добавления."
+    },
+    "label": "Уровень детализации логов",
+    "allLogs": "Все логи",
+    "disableLogStreaming": "Отключить потоковую передачу логов"
+  },
+  "trackedObjectDelete": {
+    "title": "Подтвердить удаление",
+    "toast": {
+      "error": "Не удалось удалить отслеживаемые объекты: {{errorMessage}}",
+      "success": "Отслеживаемые объекты успешно удалены."
+    },
+    "desc": "Удаление этих {{objectLength}} отслеживаемых объектов приведёт к удалению их снимков, сохранённых эмбеддингов и записей жизненного цикла. <em>НО</em> сами записи в разделе «История» останутся.<br /><br />Вы уверены, что хотите продолжить?<br /><br />Удерживайте <em>Shift</em>, чтобы пропустить это окно в будущем."
+  },
+  "zoneMask": {
+    "filterBy": "Фильтр по маске зоны"
+  },
+  "recognizedLicensePlates": {
+    "noLicensePlatesFound": "Номерных знаков не найдено.",
+    "placeholder": "Введите номер для поиска знака…",
+    "title": "Распознанные номерные знаки",
+    "loadFailed": "Не удалось загрузить распознанные номерные знаки.",
+    "loading": "Загрузка распознанных номерных знаков…",
+    "selectPlatesFromList": "Выберите один или более знаков из списка."
+  },
+  "review": {
+    "showReviewed": "Показать просмотренные"
+  },
+  "motion": {
+    "showMotionOnly": "Показывать только движение"
+  }
+}
diff --git a/web/public/locales/ru/components/icons.json b/web/public/locales/ru/components/icons.json
new file mode 100644
index 000000000..2d0f3ccd7
--- /dev/null
+++ b/web/public/locales/ru/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Выберите иконку",
+    "search": {
+      "placeholder": "Поиск иконки…"
+    }
+  }
+}
diff --git a/web/public/locales/ru/components/input.json b/web/public/locales/ru/components/input.json
new file mode 100644
index 000000000..149b56d0a
--- /dev/null
+++ b/web/public/locales/ru/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Скачать видео",
+      "toast": {
+        "success": "Загрузка видео начата."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ru/components/player.json b/web/public/locales/ru/components/player.json
new file mode 100644
index 000000000..f0a44efcd
--- /dev/null
+++ b/web/public/locales/ru/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Не найдено ни одной записи",
+  "noPreviewFound": "Предпросмотр не найден",
+  "submitFrigatePlus": {
+    "title": "Отправить этот кадр в Frigate+?",
+    "submit": "Отправить"
+  },
+  "noPreviewFoundFor": "Не найдено предпросмотра для {{cameraName}}",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 или выше требуется для этого типа стрима.",
+  "streamOffline": {
+    "title": "Поток оффлайн",
+    "desc": "С потока <code>detect</code> камеры {{cameraName}} не получено кадров, проверьте логи ошибок"
+  },
+  "cameraDisabled": "Камера отключена",
+  "stats": {
+    "streamType": {
+      "title": "Тип потока:",
+      "short": "Тип"
+    },
+    "bandwidth": {
+      "title": "Пропускная способность:",
+      "short": "Пропускная способность"
+    },
+    "latency": {
+      "title": "Задержка:",
+      "value": "{{seconds}} сек",
+      "short": {
+        "title": "Задержка",
+        "value": "{{seconds}} сек"
+      }
+    },
+    "totalFrames": "Всего кадров:",
+    "droppedFrames": {
+      "title": "Пропущено кадров:",
+      "short": {
+        "title": "Пропущено",
+        "value": "{{droppedFrames}} кадров"
+      }
+    },
+    "decodedFrames": "Декодированные кадры:",
+    "droppedFrameRate": "Частота пропущенных кадров:"
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Не удалось отправить кадр в Frigate+"
+    },
+    "success": {
+      "submittedFrigatePlus": "Кадр успешно загружен в Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/ru/objects.json b/web/public/locales/ru/objects.json
new file mode 100644
index 000000000..c8cdac48d
--- /dev/null
+++ b/web/public/locales/ru/objects.json
@@ -0,0 +1,120 @@
+{
+  "dog": "Собака",
+  "cat": "Кошка",
+  "animal": "Животное",
+  "bark": "Лай",
+  "person": "Человек",
+  "bicycle": "Велосипед",
+  "car": "Автомобиль",
+  "motorcycle": "Мотоцикл",
+  "bird": "Птица",
+  "horse": "Лошадь",
+  "sheep": "Овца",
+  "mouse": "Мышь",
+  "goat": "Коза",
+  "airplane": "Самолет",
+  "keyboard": "Клавиатура",
+  "boat": "Лодка",
+  "bus": "Автобус",
+  "train": "Поезд",
+  "skateboard": "Скейтборд",
+  "door": "Дверь",
+  "blender": "Блендер",
+  "sink": "Раковина",
+  "clock": "Часы",
+  "vehicle": "Транспорт",
+  "hair_dryer": "Фен",
+  "toothbrush": "Зубная щетка",
+  "scissors": "Ножницы",
+  "traffic_light": "Светофор",
+  "fire_hydrant": "Пожарный гидрант",
+  "street_sign": "Дорожный знак",
+  "stop_sign": "Знак Стоп",
+  "parking_meter": "Парковочный счётчик",
+  "bench": "Скамейка",
+  "cow": "Корова",
+  "elephant": "Слон",
+  "bear": "Медведь",
+  "zebra": "Зебра",
+  "giraffe": "Жираф",
+  "hat": "Шляпа",
+  "backpack": "Рюкзак",
+  "umbrella": "Зонтик",
+  "shoe": "Обувь",
+  "eye_glasses": "Очки",
+  "tie": "Галстук",
+  "suitcase": "Чемодан",
+  "handbag": "Сумочка",
+  "frisbee": "Фрисби",
+  "skis": "Лыжи",
+  "snowboard": "Сноуборд",
+  "kite": "Воздушный змей",
+  "baseball_bat": "Бейсбольная бита",
+  "baseball_glove": "Бейсбольная перчатка",
+  "sports_ball": "Спортивный мяч",
+  "surfboard": "Доска для серфинга",
+  "tennis_racket": "Теннисная ракетка",
+  "bottle": "Бутылка",
+  "plate": "Тарелка",
+  "wine_glass": "Винный бокал",
+  "cup": "Чашка",
+  "fork": "Вилка",
+  "spoon": "Ложка",
+  "bowl": "Миска",
+  "banana": "Банан",
+  "apple": "Яблоко",
+  "orange": "Апельсин",
+  "broccoli": "Брокколи",
+  "sandwich": "Сэндвич",
+  "carrot": "Морковь",
+  "hot_dog": "Хот-дог",
+  "pizza": "Пицца",
+  "donut": "Пончик",
+  "cake": "Торт",
+  "chair": "Стул",
+  "couch": "Диван",
+  "potted_plant": "Комнатное растение",
+  "bed": "Кровать",
+  "mirror": "Зеркало",
+  "dining_table": "Обеденный стол",
+  "window": "Окно",
+  "desk": "Стол",
+  "toilet": "Туалет",
+  "tv": "Телевизор",
+  "laptop": "Ноутбук",
+  "remote": "Пульт дистанционного управления",
+  "cell_phone": "Мобильный телефон",
+  "microwave": "Микроволновка",
+  "oven": "Духовка",
+  "toaster": "Тостер",
+  "refrigerator": "Холодильник",
+  "book": "Книга",
+  "vase": "Ваза",
+  "teddy_bear": "Плюшевый мишка",
+  "hair_brush": "Расчёска",
+  "squirrel": "Белка",
+  "deer": "Олень",
+  "fox": "Лиса",
+  "rabbit": "Кролик",
+  "raccoon": "Енот",
+  "robot_lawnmower": "Роботизированная газонокосилка",
+  "waste_bin": "Мусорное ведро",
+  "on_demand": "По требованию",
+  "face": "Лицо",
+  "license_plate": "Номерной знак",
+  "package": "Посылка",
+  "bbq_grill": "Гриль и барбекю",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "knife": "Нож",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/ru/views/configEditor.json b/web/public/locales/ru/views/configEditor.json
new file mode 100644
index 000000000..73b566a08
--- /dev/null
+++ b/web/public/locales/ru/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "configEditor": "Редактор конфигурации",
+  "copyConfig": "Скопировать конфигурацию",
+  "saveAndRestart": "Сохранить и перезапустить",
+  "saveOnly": "Только сохранить",
+  "documentTitle": "Редактор конфигурации - Frigate",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Конфигурация скопирована в буфер обмена."
+    },
+    "error": {
+      "savingError": "Ошибка сохранения конфигурации"
+    }
+  },
+  "confirm": "Выйти без сохранения?"
+}
diff --git a/web/public/locales/ru/views/events.json b/web/public/locales/ru/views/events.json
new file mode 100644
index 000000000..6c8bebb6e
--- /dev/null
+++ b/web/public/locales/ru/views/events.json
@@ -0,0 +1,39 @@
+{
+  "alerts": "Тревоги",
+  "detections": "Обнаружения",
+  "motion": {
+    "label": "Движение",
+    "only": "Только движение"
+  },
+  "allCameras": "Все камеры",
+  "camera": "Камера",
+  "empty": {
+    "alert": "Отсутствуют тревоги для просмотра",
+    "detection": "Отсутствуют обнаружения для просмотра",
+    "motion": "Не найдено данных о движении"
+  },
+  "timeline": "Таймлайн",
+  "timeline.aria": "Выбор таймлайна",
+  "events": {
+    "label": "События",
+    "aria": "Выбор событий",
+    "noFoundForTimePeriod": "Для этого периода времени не найдено ни одного события."
+  },
+  "documentTitle": "Обзор событий - Frigate",
+  "recordings": {
+    "documentTitle": "Записи - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Последние 24 часа"
+  },
+  "markAsReviewed": "Пометить как просмотренное",
+  "newReviewItems": {
+    "label": "Посмотреть новые элементы для просмотра",
+    "button": "Новые элементы для просмотра"
+  },
+  "markTheseItemsAsReviewed": "Пометить эти элементы как просмотренные",
+  "selected": "{{count}} выбрано",
+  "selected_one": "{{count}} выбрано",
+  "selected_other": "{{count}} выбрано",
+  "detected": "обнаружен"
+}
diff --git a/web/public/locales/ru/views/explore.json b/web/public/locales/ru/views/explore.json
new file mode 100644
index 000000000..63f6c2867
--- /dev/null
+++ b/web/public/locales/ru/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "context": "Поиск станет доступен после завершения переиндексации эмбеддингов отслеживаемых объектов.",
+      "startingUp": "Запуск…",
+      "estimatedTime": "Оставшееся время:",
+      "finishingShortly": "Скоро завершится",
+      "step": {
+        "descriptionsEmbedded": "Встроенные описания: ",
+        "trackedObjectsProcessed": "Обработанные отслеживаемые объекты: ",
+        "thumbnailsEmbedded": "Встроенные миниатюры: "
+      }
+    },
+    "title": "Поиск событий недоступен",
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Модель компьютерного зрения",
+        "visionModelFeatureExtractor": "Экстрактор признаков модели компьютерного зрения",
+        "textModel": "Текстовая модель",
+        "textTokenizer": "Текстовый токенизатор"
+      },
+      "tips": {
+        "context": "Возможно, вы захотите переиндексировать эмбеддинги отслеживаемых объектов после загрузки моделей.",
+        "documentation": "Читать документацию"
+      },
+      "context": "Frigate загружает необходимые модели эмбеддингов для поддержки функции семантического поиска. Это может занять несколько минут в зависимости от скорости вашего интернет-соединения.",
+      "error": "Произошла ошибка. Проверьте логи Frigate."
+    }
+  },
+  "generativeAI": "Генеративный ИИ",
+  "documentTitle": "Поиск событий - Frigate",
+  "details": {
+    "timestamp": "Метка времени",
+    "item": {
+      "title": "Детали элемента просмотра",
+      "desc": "Детали элемента просмотра",
+      "button": {
+        "share": "Поделиться этим элементом просмотра",
+        "viewInExplore": "Смотреть в Поиске событий"
+      },
+      "tips": {
+        "hasMissingObjects": "Настройте конфигурацию, если хотите, чтобы Frigate сохранял отслеживаемые объекты для следующих меток: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} недоступный объект обнаружен и включен в этот элемент просмотра. Эти объекты либо не соответствовали критериям тревоги/детекции, либо уже были удалены.",
+        "mismatch_few": "{{count}} недоступных объекта обнаружено и включено в этот элемент просмотра. Эти объекты либо не соответствовали критериям тревоги/детекции, либо уже были удалены.",
+        "mismatch_many": "{{count}} недоступных объектов обнаружено и включено в этот элемент просмотра. Эти объекты либо не соответствовали критериям тревоги/детекции, либо уже были удалены."
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Успешно обновлена дополнительная метка.",
+          "updatedLPR": "Номерной знак успешно обновлён.",
+          "regenerate": "Новое описание запрошено у {{provider}}. В зависимости от скорости работы вашего провайдера, генерация нового описания может занять некоторое время."
+        },
+        "error": {
+          "updatedSublabelFailed": "Не удалось обновить дополнительную метку: {{errorMessage}}",
+          "updatedLPRFailed": "Не удалось обновить номерной знак: {{errorMessage}}",
+          "regenerate": "Не удалось запросить новое описание у {{provider}}: {{errorMessage}}"
+        }
+      }
+    },
+    "editSubLabel": {
+      "descNoLabel": "Введите новую дополнительную метку для этого отслеживаемого объекта",
+      "title": "Редактирование дополнительной метки",
+      "desc": "Введите новую дополнительную метку для {{label}}"
+    },
+    "topScore": {
+      "label": "Лучшая оценка",
+      "info": "Лучшая оценка — это наивысшая медианная оценка для отслеживаемого объекта, поэтому она может отличаться от оценки, показанной на превью в результатах поиска."
+    },
+    "estimatedSpeed": "Расчётная скорость",
+    "tips": {
+      "saveDescriptionFailed": "Не удалось обновить описание: {{errorMessage}}",
+      "descriptionSaved": "Описание успешно сохранено"
+    },
+    "label": "Метка",
+    "editLPR": {
+      "title": "Редактирование номерного знака",
+      "descNoLabel": "Введите новое значение номерного знака для этого отслеживаемого объекта",
+      "desc": "Введите новое значение номерного знака для {{label}}"
+    },
+    "recognizedLicensePlate": "Распознанный номерной знак",
+    "objects": "Объекты",
+    "camera": "Камера",
+    "zones": "Зоны",
+    "button": {
+      "findSimilar": "Найти похожее",
+      "regenerate": {
+        "title": "Перегенерировать",
+        "label": "Перегенерировать описание отслеживаемого объекта"
+      }
+    },
+    "description": {
+      "label": "Описание",
+      "aiTips": "Frigate не будет запрашивать описание у вашего генеративного ИИ-провайдера, пока жизненный цикл отслеживаемого объекта не завершится.",
+      "placeholder": "Описание отслеживаемого объекта"
+    },
+    "expandRegenerationMenu": "Развернуть меню перегенерации",
+    "regenerateFromSnapshot": "Перегенерировать из снимка",
+    "regenerateFromThumbnails": "Перегенерировать из миниатюры",
+    "snapshotScore": {
+      "label": "Оценка снимка"
+    }
+  },
+  "trackedObjectDetails": "Детали объекта",
+  "type": {
+    "details": "детали",
+    "snapshot": "снимок",
+    "video": "видео",
+    "object_lifecycle": "жизненный цикл объекта"
+  },
+  "objectLifecycle": {
+    "title": "Жизненный цикл объекта",
+    "noImageFound": "Для этой метки времени изображение не найдено.",
+    "createObjectMask": "Создать маску объекта",
+    "adjustAnnotationSettings": "Изменить настройки аннотаций",
+    "scrollViewTips": "Прокрутите, чтобы просмотреть ключевые моменты жизненного цикла этого объекта.",
+    "autoTrackingTips": "Позиции ограничивающих рамок будут неточными для камер с автотрекингом.",
+    "lifecycleItemDesc": {
+      "visible": "Обнаружен(а) {{label}}",
+      "entered_zone": "{{label}} зафиксирован(а) в {{zones}}",
+      "active": "{{label}} активировался(ась)",
+      "stationary": "{{label}} перестал(а) двигаться",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} обнаружен для {{label}}",
+        "other": "{{label}} распознан(а) как {{attribute}}"
+      },
+      "gone": "{{label}} покинул(а) зону",
+      "heard": "Обнаружен звук {{label}}",
+      "external": "Обнаружен(а) {{label}}",
+      "header": {
+        "zones": "Зоны",
+        "ratio": "Соотношение",
+        "area": "Область"
+      }
+    },
+    "annotationSettings": {
+      "title": "Настройки аннотаций",
+      "showAllZones": {
+        "title": "Показать все зоны",
+        "desc": "Всегда показывать зоны на кадрах, где объекты вошли в зону."
+      },
+      "offset": {
+        "label": "Сдвиг аннотаций",
+        "desc": "Эти данные поступают из потока детекции вашей камеры, но накладываются на изображения из потока записи. Потоки вряд ли идеально синхронизированы, поэтому ограничивающая рамка и видео могут не совпадать. Для корректировки используйте поле <code>Сдвиг аннотаций</code>.",
+        "millisecondsToOffset": "Смещение аннотаций детекции в миллисекундах. <em>По умолчанию: 0</em>",
+        "documentation": "Читать документацию ",
+        "tips": "СОВЕТ: Представьте, у вас клип события, где человек идёт слева направо. Если рамка на таймлайне постоянно смещена влево от человека — уменьшите значение. Если рамка опережает движение — увеличьте значение.",
+        "toast": {
+          "success": "В конфигурационном файле сохранено значение смещения для {{camera}}. Перезапустите Frigate, чтобы применить изменения."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Предыдущий слайд",
+      "next": "Следующий слайд"
+    },
+    "count": "{{first}} из {{second}}",
+    "trackedPoint": "Отслеживаемая точка"
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Скачать видео",
+      "aria": "Скачать видео"
+    },
+    "downloadSnapshot": {
+      "label": "Скачать снимок",
+      "aria": "Скачать снимок"
+    },
+    "viewObjectLifecycle": {
+      "label": "Просмотр жизненного цикла объекта",
+      "aria": "Показать жизненный цикл объекта"
+    },
+    "findSimilar": {
+      "label": "Найти похожее",
+      "aria": "Найти похожие отслеживаемые объекты"
+    },
+    "submitToPlus": {
+      "label": "Отправить в Frigate+",
+      "aria": "Отправить в Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "Посмотреть в Истории",
+      "aria": "Посмотреть в Истории"
+    },
+    "deleteTrackedObject": {
+      "label": "Удалить этот отслеживаемый объект"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Подтвердить удаление",
+      "desc": "Удаление этого отслеживаемого объекта приведёт к удалению его снимка, всех сохранённых эмбеддингов и записей жизненного цикла. Сами записи в разделе История <em>НЕ</em> будут удалены.<br /><br />Вы уверены, что хотите продолжить?"
+    }
+  },
+  "noTrackedObjects": "Не найдено отслеживаемых объектов",
+  "fetchingTrackedObjectsFailed": "При получении списка отслеживаемых объектов произошла ошибка: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} отслеживаемый объект ",
+  "trackedObjectsCount_few": "{{count}} отслеживаемых объекта ",
+  "trackedObjectsCount_many": "{{count}} отслеживаемых объектов ",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Отслеживаемый объект успешно удалён.",
+        "error": "Не удалось удалить отслеживаемый объект: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Соответствие с {{type}} на {{confidence}}%"
+  },
+  "exploreMore": "Просмотреть больше объектов {{label}}"
+}
diff --git a/web/public/locales/ru/views/exports.json b/web/public/locales/ru/views/exports.json
new file mode 100644
index 000000000..f48fb3e71
--- /dev/null
+++ b/web/public/locales/ru/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Экспорт - Frigate",
+  "search": "Поиск",
+  "noExports": "Не найдено файлов экспорта",
+  "deleteExport": "Удалить экспорт",
+  "deleteExport.desc": "Вы уверены, что хотите удалить {{exportName}}?",
+  "editExport": {
+    "title": "Переименовать экспорт",
+    "desc": "Введите новое имя для этого экспорта.",
+    "saveExport": "Сохранить экспорт"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Не удалось переименовать экспорт: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/ru/views/faceLibrary.json b/web/public/locales/ru/views/faceLibrary.json
new file mode 100644
index 000000000..802f0cebe
--- /dev/null
+++ b/web/public/locales/ru/views/faceLibrary.json
@@ -0,0 +1,103 @@
+{
+  "details": {
+    "person": "Человек",
+    "timestamp": "Метка времени",
+    "face": "Подробности о лице",
+    "faceDesc": "Информация об отслеживаемом объекте, который сгенерировал это лицо",
+    "confidence": "Достоверность",
+    "scoreInfo": "Оценка доп. метки — это взвешенная оценка всех распознанных лиц, поэтому она может отличаться от оценки на снимке.",
+    "subLabelScore": "Оценка доп. метки",
+    "unknown": "Неизвестно"
+  },
+  "documentTitle": "Библиотека лиц - Frigate",
+  "description": {
+    "placeholder": "Введите название коллекции",
+    "addFace": "Пошаговое добавление новой коллекции в Библиотеку лиц.",
+    "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчеркивания и дефисы."
+  },
+  "createFaceLibrary": {
+    "desc": "Создание новой коллекции",
+    "nextSteps": "Для создания надежной базы: <li>Используйте вкладку Обучение, чтобы выбрать изображения и обучить систему для каждого обнаруженного человека.</li> <li>Используйте фронтальные изображения для лучшего результата; избегайте изображений с лицами, снятыми под углом.</li> </ul>",
+    "title": "Создать коллекцию",
+    "new": "Создать новое лицо"
+  },
+  "selectFace": "Выбор лица",
+  "uploadFaceImage": {
+    "desc": "Загрузите изображение для поиска лиц и связывания с {{pageToggle}}",
+    "title": "Загрузка изображения с лицом"
+  },
+  "selectItem": "Выбор {{item}}",
+  "train": {
+    "aria": "Выбор обучения",
+    "title": "Обучение",
+    "empty": "Нет недавних попыток распознавания лиц"
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "Успешно удалено {{count}} лицо.",
+      "deletedFace_few": "Успешно удалено {{count}} лица.",
+      "deletedFace_many": "Успешно удалено {{count}} лиц.",
+      "deletedName_one": "{{count}} лицо успешно удалено.",
+      "deletedName_few": "{{count}} лица успешно удалено.",
+      "deletedName_many": "{{count}} лиц успешно удалено.",
+      "uploadedImage": "Изображение успешно загружено.",
+      "trainedFace": "Лицо успешно запомнено.",
+      "addFaceLibrary": "{{name}} успешно добавлен(а) в Библиотеку лиц!",
+      "updatedFaceScore": "Оценка лица успешно обновлена.",
+      "renamedFace": "Лицо успешно переименовано в {{name}}"
+    },
+    "error": {
+      "deleteFaceFailed": "Не удалось удалить: {{errorMessage}}",
+      "uploadingImageFailed": "Не удалось загрузить изображение: {{errorMessage}}",
+      "trainFailed": "Не удалось запомнить: {{errorMessage}}",
+      "updateFaceScoreFailed": "Не удалось обновить оценку лица: {{errorMessage}}",
+      "addFaceLibraryFailed": "Не удалось установить имя для лица: {{errorMessage}}",
+      "deleteNameFailed": "Не удалось удалить имя: {{errorMessage}}",
+      "renameFaceFailed": "Не удалось переименовать лицо: {{errorMessage}}"
+    }
+  },
+  "deleteFaceLibrary": {
+    "title": "Удалить имя",
+    "desc": "Вы уверены, что хотите удалить коллекцию «{{name}}»? Это действие безвозвратно удалит все лица в коллекции."
+  },
+  "imageEntry": {
+    "dropActive": "Перетащите изображение сюда…",
+    "dropInstructions": "Перетащите изображение сюда или нажмите для выбора",
+    "maxSize": "Макс. размер: {{size}}Мб",
+    "validation": {
+      "selectImage": "Пожалуйста, выберите файл изображения."
+    }
+  },
+  "readTheDocs": "Читать документацию",
+  "trainFaceAs": "Запомнить лицо как:",
+  "button": {
+    "uploadImage": "Загрузить изображение",
+    "deleteFaceAttempts": "Удалить лица",
+    "addFace": "Добавить лицо",
+    "reprocessFace": "Обработать лицо повторно",
+    "renameFace": "Переименовать лицо",
+    "deleteFace": "Удалить лицо"
+  },
+  "trainFace": "Запомнить лицо",
+  "steps": {
+    "faceName": "Введите имя лица",
+    "nextSteps": "Следующие шаги",
+    "uploadFace": "Загрузить изображение лица",
+    "description": {
+      "uploadFace": "Загрузите изображение {{name}}, на котором лицо показано спереди. Не нужно обрезать фотографию только до лица."
+    }
+  },
+  "renameFace": {
+    "desc": "Введите новое имя для {{name}}",
+    "title": "Переименовать лицо"
+  },
+  "collections": "Коллекции",
+  "deleteFaceAttempts": {
+    "title": "Удалить лица",
+    "desc_one": "Вы уверены, что хотите удалить {{count}} лицо? Это действие нельзя отменить.",
+    "desc_few": "Вы уверены, что хотите удалить {{count}} лица? Это действие нельзя отменить.",
+    "desc_many": "Вы уверены, что хотите удалить {{count}} лиц? Это действие нельзя отменить."
+  },
+  "nofaces": "Лица отсутствуют",
+  "pixels": "{{area}} пикс"
+}
diff --git a/web/public/locales/ru/views/live.json b/web/public/locales/ru/views/live.json
new file mode 100644
index 000000000..e7960d58f
--- /dev/null
+++ b/web/public/locales/ru/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Прямой эфир - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Прямой эфир - Frigate",
+  "lowBandwidthMode": "Экономичный режим",
+  "twoWayTalk": {
+    "enable": "Включить двустороннюю связь",
+    "disable": "Отключить двустороннюю связь"
+  },
+  "cameraAudio": {
+    "enable": "Включить звук с камеры",
+    "disable": "Отключить звук с камеры"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Кликните в кадре для центрирования камеры",
+        "enable": "Включить перемещение по клику",
+        "disable": "Отключить перемещение по клику"
+      },
+      "left": {
+        "label": "Переместить PTZ-камеру влево"
+      },
+      "down": {
+        "label": "Переместить PTZ-камеру вниз"
+      },
+      "up": {
+        "label": "Переместить PTZ-камеру вверх"
+      },
+      "right": {
+        "label": "Переместить PTZ-камеру вправо"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Приблизить PTZ-камеру"
+      },
+      "out": {
+        "label": "Отдалить PTZ-камеру"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Кликните в кадре для центрирования PTZ-камеры"
+      }
+    },
+    "presets": "Предустановки PTZ-камеры"
+  },
+  "camera": {
+    "enable": "Включить камеру",
+    "disable": "Отключить камеру"
+  },
+  "muteCameras": {
+    "enable": "Отключить звук на всех камерах",
+    "disable": "Включить звук на всех камерах"
+  },
+  "detect": {
+    "enable": "Включить детекцию",
+    "disable": "Отключить детекцию"
+  },
+  "recording": {
+    "enable": "Включить запись",
+    "disable": "Отключить запись"
+  },
+  "snapshots": {
+    "enable": "Включить снимки",
+    "disable": "Отключить снимки"
+  },
+  "audioDetect": {
+    "enable": "Включить детекцию аудио",
+    "disable": "Отключить детекцию аудио"
+  },
+  "autotracking": {
+    "enable": "Включить автотрекинг",
+    "disable": "Отключить автотрекинг"
+  },
+  "streamStats": {
+    "enable": "Показать статистику потока",
+    "disable": "Скрыть статистику потока"
+  },
+  "manualRecording": {
+    "title": "Запись по требованию",
+    "tips": "Создать ручное событие на основе настроек хранения записей этой камеры.",
+    "playInBackground": {
+      "label": "Воспроизведение в фоне",
+      "desc": "Включите эту опцию, чтобы продолжать трансляцию при скрытом плеере."
+    },
+    "showStats": {
+      "label": "Показать статистику",
+      "desc": "Включите эту опцию, чтобы отображать статистику потока в виде наложения на изображение с камеры."
+    },
+    "debugView": "Режим отладки",
+    "start": "Запустить запись по запросу",
+    "started": "Запущена запись по запросу.",
+    "failedToStart": "Не удалось запустить запись по требованию.",
+    "recordDisabledTips": "Поскольку запись отключена или ограничена в конфигурации для этой камеры, будет сохранён только снимок.",
+    "end": "Завершить запись по требованию",
+    "ended": "Запись по требованию остановлена.",
+    "failedToEnd": "Не удалось остановить запись по требованию."
+  },
+  "streamingSettings": "Настройки потока",
+  "suspend": {
+    "forTime": "Приостановить на: "
+  },
+  "stream": {
+    "audio": {
+      "tips": {
+        "documentation": "Читать документацию ",
+        "title": "Аудио должно выводиться с вашей камеры и быть настроено в go2rtc для этого потока."
+      },
+      "available": "Для этого потока доступен звук",
+      "unavailable": "Аудио недоступно для этого потока"
+    },
+    "title": "Поток",
+    "twoWayTalk": {
+      "tips": "Ваше устройство должно поддерживать эту функцию, а WebRTC должен быть настроен для двусторонней связи.",
+      "tips.documentation": "Читать документацию ",
+      "available": "Двусторонняя связь доступна для этого потока",
+      "unavailable": "Двусторонняя связь недоступна для этого потока"
+    },
+    "lowBandwidth": {
+      "tips": "Режим просмотра в реальном времени переведён в экономичный режим из-за буферизации или ошибок потока.",
+      "resetStream": "Сброс потока"
+    },
+    "playInBackground": {
+      "label": "Воспроизвести в фоне",
+      "tips": "Включите эту опцию, чтобы продолжать трансляцию при скрытом плеере."
+    }
+  },
+  "cameraSettings": {
+    "title": "Настройки {{camera}}",
+    "objectDetection": "Обнаружение объектов",
+    "recording": "Запись",
+    "audioDetection": "Детекция аудио",
+    "snapshots": "Снимки",
+    "autotracking": "Автотрекинг",
+    "cameraEnabled": "Камера активирована"
+  },
+  "history": {
+    "label": "Отобразить архивные записи"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Все",
+      "motion": "Движение",
+      "active_objects": "Активные объекты"
+    },
+    "notAllTips": "Ваша конфигурация хранения записей {{source}} установлена в <code>mode: {{effectiveRetainMode}}</code>, поэтому эта запись по запросу будет сохранять только сегменты с {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Редактировать макет",
+    "group": {
+      "label": "Редактирование группы камер"
+    },
+    "exitEdit": "Выход из редактирования"
+  },
+  "audio": "Аудио",
+  "notifications": "Уведомления"
+}
diff --git a/web/public/locales/ru/views/recording.json b/web/public/locales/ru/views/recording.json
new file mode 100644
index 000000000..24d34f580
--- /dev/null
+++ b/web/public/locales/ru/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Фильтр",
+  "export": "Экспорт",
+  "calendar": "Календарь",
+  "filters": "Фильтры",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "Конечное время должно быть позже начального",
+      "noValidTimeSelected": "Выбран недопустимый временной диапазон"
+    }
+  }
+}
diff --git a/web/public/locales/ru/views/search.json b/web/public/locales/ru/views/search.json
new file mode 100644
index 000000000..0c7f8477f
--- /dev/null
+++ b/web/public/locales/ru/views/search.json
@@ -0,0 +1,74 @@
+{
+  "savedSearches": "Сохраненные поиски",
+  "button": {
+    "clear": "Очистить поиск",
+    "save": "Сохранить поиск",
+    "delete": "Удалить сохранённый поиск",
+    "filterActive": "Активные фильтры",
+    "filterInformation": "Информация о фильтре"
+  },
+  "search": "Поиск",
+  "searchFor": "Поиск {{inputValue}}",
+  "trackedObjectId": "ID отслеживаемого объекта",
+  "filter": {
+    "label": {
+      "cameras": "Камеры",
+      "zones": "Зоны",
+      "sub_labels": "Дополнительные метки",
+      "search_type": "Тип поиска",
+      "time_range": "Временной диапазон",
+      "before": "До",
+      "after": "После",
+      "min_score": "Мин. оценка",
+      "max_score": "Макс. оценка",
+      "min_speed": "Мин. скорость",
+      "recognized_license_plate": "Распознанный номерной знак",
+      "max_speed": "Макс. скорость",
+      "has_clip": "Есть клип",
+      "has_snapshot": "Есть снимок",
+      "labels": "Метки"
+    },
+    "searchType": {
+      "thumbnail": "Миниатюра",
+      "description": "Описание"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Дата 'до' должна быть позже, чем дата 'после'.",
+        "afterDatebeEarlierBefore": "Дата 'после' должна быть раньше, чем дата 'до'.",
+        "minScoreMustBeLessOrEqualMaxScore": "Значение 'min_score' должно быть меньше или равно значению 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Значение 'max_score' должно быть больше или равно значению 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Значение 'min_speed' должно быть меньше или равно значению 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Значение 'max_speed' должно быть больше или равно значению 'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "Как использовать текстовые фильтры",
+      "desc": {
+        "text": "Фильтры помогают уточнить результаты поиска. Вот как их использовать в поле ввода:",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Введите название фильтра, затем двоеточие (например, \"камеры:\").</li><li>Выберите значение из подсказок или введите своё.</li><li>Используйте несколько фильтров, добавляя их через пробел.</li><li>Фильтры даты (before:/after:) используют формат <em>{{DateFormat}}</em>.</li><li>Временной диапазон — в формате <em>{{exampleTime}}</em>.</li><li>Удаляйте фильтры нажатием на «×» рядом с ними.</li></ul>",
+        "example": "Пример: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "step1": "Введите имя ключа фильтра с двоеточием (например, \"камеры:\").",
+        "step5": "Фильтр временного диапазона использует формат {{exampleTime}}.",
+        "exampleLabel": "Пример:",
+        "step2": "Выберите значение из предложенных или введите свое собственное.",
+        "step3": "Вы можете применять несколько фильтров, указывая их подряд через пробел.",
+        "step6": "Удаляйте фильтры, нажав на значок \"x\" рядом с ними.",
+        "step4": "Фильтры по дате (до: и после:) используют формат {{DateFormat}}."
+      }
+    },
+    "header": {
+      "currentFilterType": "Значения фильтров",
+      "noFilters": "Фильтры",
+      "activeFilters": "Активные фильтры"
+    }
+  },
+  "similaritySearch": {
+    "title": "Поиск похожего",
+    "active": "Активен поиск похожего",
+    "clear": "Очистить поиск похожего"
+  },
+  "placeholder": {
+    "search": "Поиск…"
+  }
+}
diff --git a/web/public/locales/ru/views/settings.json b/web/public/locales/ru/views/settings.json
new file mode 100644
index 000000000..130b56619
--- /dev/null
+++ b/web/public/locales/ru/views/settings.json
@@ -0,0 +1,687 @@
+{
+  "documentTitle": {
+    "default": "Настройки - Frigate",
+    "camera": "Настройки камеры - Frigate",
+    "masksAndZones": "Маски и Зоны - Frigate",
+    "motionTuner": "Детекции движения - Frigate",
+    "general": "Общие настройки - Frigate",
+    "frigatePlus": "Настройки Frigate+ - Frigate",
+    "authentication": "Настройки аутентификации - Frigate",
+    "classification": "Настройки распознавания - Frigate",
+    "object": "Отладка - Frigate",
+    "notifications": "Настройки уведомлений - Frigate",
+    "enrichments": "Настройки обогащения - Frigate"
+  },
+  "menu": {
+    "cameras": "Настройки камеры",
+    "masksAndZones": "Маски / Зоны",
+    "motionTuner": "Детекции движения",
+    "debug": "Отладка",
+    "users": "Пользователи",
+    "notifications": "Уведомления",
+    "frigateplus": "Frigate+",
+    "ui": "Интерфейс",
+    "classification": "Распознавание",
+    "enrichments": "Обогащения"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "У вас есть несохраненные изменения.",
+      "desc": "Хотите сохранить изменения перед продолжением?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Камера",
+    "noCamera": "Нет камеры"
+  },
+  "general": {
+    "title": "Общие настройки",
+    "liveDashboard": {
+      "title": "Панель мониторинга",
+      "automaticLiveView": {
+        "desc": "Автоматически переключаться на просмотр камеры в реальном времени при обнаружении активности. Если отключить эту опцию, статичные изображения камер на панели мониторинга будут обновляться только раз в минуту.",
+        "label": "Автоматический просмотр в реальном времени"
+      },
+      "playAlertVideos": {
+        "label": "Воспроизводить видео с тревогами",
+        "desc": "По умолчанию последние тревоги на панели мониторинга воспроизводятся как короткие зацикленные видео. Отключите эту опцию, чтобы показывать только статичное изображение последних оповещений на этом устройстве/браузере."
+      }
+    },
+    "calendar": {
+      "title": "Календарь",
+      "firstWeekday": {
+        "sunday": "Воскресенье",
+        "monday": "Понедельник",
+        "label": "Первый день недели",
+        "desc": "День, с которого начинаются недели в календаре обзора событий."
+      }
+    },
+    "recordingsViewer": {
+      "title": "Просмотр записей",
+      "defaultPlaybackRate": {
+        "label": "Скорость воспроизведения по умолчанию",
+        "desc": "Скорость воспроизведения записей по умолчанию."
+      }
+    },
+    "storedLayouts": {
+      "clearAll": "Сбросить все макеты",
+      "desc": "Расположение камер в группе можно настраивать перетаскиванием и изменением размера. Позиции сохраняются в локальном хранилище браузера.",
+      "title": "Сохранённые макеты"
+    },
+    "cameraGroupStreaming": {
+      "title": "Настройки трансляции группы камер",
+      "desc": "Настройки трансляции для каждой группы камер хранятся локально в вашем браузере.",
+      "clearAll": "Очистить все настройки трансляции"
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Сохранённый макет для {{cameraName}} удалён",
+        "clearStreamingSettings": "Настройки потоков для всех групп камер сброшены."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Не удалось удалить макет: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Не удалось очистить настройки потока: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "semanticSearch": {
+      "title": "Семантический поиск",
+      "readTheDocumentation": "Читать документацию",
+      "reindexNow": {
+        "label": "Переиндексировать сейчас",
+        "confirmButton": "Переиндексировать",
+        "alreadyInProgress": "Переиндексация уже выполняется.",
+        "desc": "Переиндексация заново сгенерирует векторные представления для всех отслеживаемых объектов. Этот процесс выполняется в фоновом режиме и может максимально загрузить ваш процессор, а также занять значительное время в зависимости от количества отслеживаемых объектов.",
+        "confirmTitle": "Подтвердить переиндексацию",
+        "success": "Реиндексация запущена успешно.",
+        "error": "Не удалось начать реиндексацию: {{errorMessage}}",
+        "confirmDesc": "Вы уверены, что хотите переиндексировать все векторные представления отслеживаемых объектов? Этот процесс будет выполняться в фоновом режиме, но может максимально загрузить ваш процессор и занять довольно много времени. Вы можете следить за ходом выполнения на странице «Поиск событий»."
+      },
+      "desc": "Семантический поиск во Frigate позволяет находить отслеживаемые объекты в записях с помощью самого изображения, пользовательского текстового описания или автоматически сгенерированного описания.",
+      "modelSize": {
+        "label": "Размер модели",
+        "desc": "Размер модели, используемой для создания векторных представлений для семантического поиска.",
+        "small": {
+          "title": "малый",
+          "desc": "Использование <em>малой</em> модели задействует квантованную версию модели, которая потребляет меньше оперативной памяти и работает быстрее на CPU с очень незначительной разницей в качестве эмбеддингов."
+        },
+        "large": {
+          "title": "большой",
+          "desc": "Использование <em>большой</em> модели задействует полную модель Jina и автоматически запускается на GPU, если это возможно."
+        }
+      }
+    },
+    "faceRecognition": {
+      "desc": "Функция распознавания лиц позволяет присваивать людям имена, и когда их лицо будет распознано, Frigate присвоит имя человека в качестве дополнительной метки. Эта информация содержится в пользовательском интерфейсе, фильтрах, а также в уведомлениях.",
+      "title": "Распознавание лиц",
+      "readTheDocumentation": "Читать документацию",
+      "modelSize": {
+        "label": "Размер модели",
+        "desc": "Размер модели, используемой для распознавания лиц.",
+        "small": {
+          "title": "малый",
+          "desc": "Использование <em>малой</em> модели задействует модель FaceNet для векторного представления лиц, которая эффективно работает на большинстве CPU."
+        },
+        "large": {
+          "title": "большой",
+          "desc": "При выборе <em>большой</em> модели используется модель векторизации лиц ArcFace, которая автоматически задействует GPU (если он доступен)."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Распознавание номерных знаков",
+      "readTheDocumentation": "Читать документацию",
+      "desc": "Frigate может распознавать автомобильные номера и автоматически добавлять для объектов типа «автомобиль» обнаруженные символы в поле «распознанный номерной знак» или известное имя в качестве дополнительной метки. Типичный пример использования — чтение номеров автомобилей, заезжающих на подъездную дорожку или проезжающих по улице."
+    },
+    "toast": {
+      "success": "Настройки классификации сохранены. Перезапустите Frigate, чтобы применить внесенные изменения.",
+      "error": "Не удалось сохранить изменения конфигурации: {{errorMessage}}"
+    },
+    "title": "Настройки классификации",
+    "birdClassification": {
+      "title": "Классификация птиц",
+      "desc": "Классификация птиц определяет известные виды с помощью квантованной модели TensorFlow. Когда птица распознана, её обиходное название добавляется в качестве дополнительной метки. Эти информация используется в интерфейсе, фильтрах и уведомлениях."
+    },
+    "restart_required": "Требуется перезапуск (изменены настройки классификации)",
+    "unsavedChanges": "Настройки классификации не сохранены"
+  },
+  "users": {
+    "dialog": {
+      "passwordSetting": {
+        "updatePassword": "Обновить пароль для {{username}}",
+        "setPassword": "Установить пароль",
+        "desc": "Создайте надежный пароль для защиты аккаунта.",
+        "cannotBeEmpty": "Пароль не может быть пустым",
+        "doNotMatch": "Пароли не совпадают"
+      },
+      "deleteUser": {
+        "warn": "Вы уверены, что хотите удалить пользователя <strong>{{username}}</strong>?",
+        "title": "Удалить пользователя",
+        "desc": "Это действие необратимо. Учётная запись пользователя и все связанные с ней данные будут удалены без возможности восстановления."
+      },
+      "changeRole": {
+        "title": "Изменить роль пользователя",
+        "desc": "Обновить права доступа для <strong>{{username}}</strong>",
+        "roleInfo": {
+          "intro": "Выберите подходящую роль для этого пользователя:",
+          "viewer": "Наблюдатель",
+          "viewerDesc": "Доступны только панель мониторинга, обзор событий, поиск и экспорт данных.",
+          "admin": "Администратор",
+          "adminDesc": "Полный доступ ко всем функциям."
+        },
+        "select": "Выбрать роль"
+      },
+      "form": {
+        "user": {
+          "placeholder": "Введите имя пользователя",
+          "desc": "Допустимо использовать только буквы, цифры, точки и подчёркивания.",
+          "title": "Имя пользователя"
+        },
+        "password": {
+          "title": "Пароль",
+          "placeholder": "Введите пароль",
+          "confirm": {
+            "title": "Подтвердите пароль",
+            "placeholder": "Подтвердите пароль"
+          },
+          "strength": {
+            "title": "Сложность пароля: ",
+            "weak": "Слабый",
+            "medium": "Средний",
+            "strong": "Сложный",
+            "veryStrong": "Очень сложный"
+          },
+          "match": "Пароли совпадают",
+          "notMatch": "Пароли не совпадают"
+        },
+        "newPassword": {
+          "title": "Новый пароль",
+          "confirm": {
+            "placeholder": "Повторно введите новый пароль"
+          },
+          "placeholder": "Введите новый пароль"
+        },
+        "usernameIsRequired": "Необходимо ввести имя пользователя",
+        "passwordIsRequired": "Требуется пароль"
+      },
+      "createUser": {
+        "title": "Создать нового пользователя",
+        "usernameOnlyInclude": "Имя пользователя может включать только буквы, цифры, . или _",
+        "desc": "Добавить новую учетную запись пользователя и определить роль для доступа к разделам интерфейса Frigate.",
+        "confirmPassword": "Пожалуйста, подтвердите пароль"
+      }
+    },
+    "title": "Пользователи",
+    "toast": {
+      "success": {
+        "roleUpdated": "Обновлена роль для {{user}}",
+        "createUser": "Пользователь {{user}} успешно создан",
+        "deleteUser": "Пользователь {{user}} успешно удалён",
+        "updatePassword": "Пароль успешно обновлён."
+      },
+      "error": {
+        "setPasswordFailed": "Не удалось сохранить пароль: {{errorMessage}}",
+        "createUserFailed": "Не удалось создать пользователя: {{errorMessage}}",
+        "deleteUserFailed": "Не удалось удалить пользователя: {{errorMessage}}",
+        "roleUpdateFailed": "Не удалось обновить роль: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Имя пользователя",
+      "actions": "Действия",
+      "password": "Пароль",
+      "noUsers": "Пользователей не найдено.",
+      "changeRole": "Изменить роль пользователя",
+      "role": "Роль",
+      "deleteUser": "Удалить пользователя"
+    },
+    "management": {
+      "title": "Управление пользователями",
+      "desc": "Управление учетными записями пользователей Frigate."
+    },
+    "updatePassword": "Обновить пароль",
+    "addUser": "Добавить пользователя"
+  },
+  "notification": {
+    "title": "Уведомления",
+    "notificationSettings": {
+      "documentation": "Читать документацию",
+      "title": "Настройки уведомлений",
+      "desc": "Frigate может отправлять push-уведомления на ваше устройство, когда приложение открыто в браузере или установлено как PWA."
+    },
+    "notificationUnavailable": {
+      "documentation": "Читать документацию",
+      "title": "Уведомления недоступны",
+      "desc": "Веб-уведомления требуют защищённого контекста (<code>https://…</code>). Это ограничение браузера. Получите безопасный доступ к Frigate, чтобы использовать уведомления."
+    },
+    "email": {
+      "title": "Email",
+      "desc": "Для уведомлений о проблемах с push-сервисом требуется указать действующий адрес электронной почты.",
+      "placeholder": "например, example@email.com"
+    },
+    "globalSettings": {
+      "title": "Глобальные настройки",
+      "desc": "Временно приостановить уведомления для определённых камер на всех зарегистрированных устройствах."
+    },
+    "cameras": {
+      "title": "Камеры",
+      "noCameras": "Нет доступных камер",
+      "desc": "Выберите камеры для активации уведомлений."
+    },
+    "deviceSpecific": "Настройки для конкретного устройства",
+    "registerDevice": "Зарегистрировать это устройство",
+    "unregisterDevice": "Отменить регистрацию этого устройства",
+    "suspended": "Уведомления приостановлены {{time}}",
+    "sendTestNotification": "Отправить тестовое уведомление",
+    "active": "Уведомления активны",
+    "suspendTime": {
+      "30minutes": "Приостановить на 30 минут",
+      "1hour": "Приостановить на 1 час",
+      "12hours": "Приостановить на 12 часов",
+      "24hours": "Приостановить на 24 часа",
+      "untilRestart": "Приостановить до перезапуска",
+      "5minutes": "Приостановить на 5 минут",
+      "10minutes": "Приостановить на 10 минут",
+      "suspend": "Приостановить"
+    },
+    "toast": {
+      "success": {
+        "settingSaved": "Настройки уведомлений сохранены.",
+        "registered": "Регистрация для уведомлений успешно завершена. Перезапуск Frigate необходим перед отправкой любых уведомлений (включая тестовое уведомление)."
+      },
+      "error": {
+        "registerFailed": "Не удалось сохранить регистрацию уведомлений."
+      }
+    },
+    "cancelSuspension": "Отменить приостановку",
+    "unsavedChanges": "Изменения уведомлений не сохранены",
+    "unsavedRegistrations": "Регистрации уведомлений не сохранены"
+  },
+  "camera": {
+    "review": {
+      "alerts": "Тревоги ",
+      "desc": "Временно включить/отключить тревоги и обнаружения для этой камеры до перезапуска Frigate. В отключенном состоянии новые события не будут записываться. ",
+      "detections": "Обнаружения ",
+      "title": "Обзор событий"
+    },
+    "reviewClassification": {
+      "objectAlertsTips": "Все объекты {{alertsLabels}} на камере {{cameraName}} будут отображаться как тревоги.",
+      "desc": "Frigate разделяет записи для проверки на два типа как «Тревоги» и «Обнаружения». По умолчанию все объекты <em>person</em> и <em>car</em> считаются тревогами. Вы можете уточнить эту классификацию, настроив для них требуемые зоны.",
+      "selectAlertsZones": "Выберите зоны для тревог",
+      "zoneObjectDetectionsTips": {
+        "notSelectDetections": "Все объекты {{detectionsLabels}}, обнаруженные в {{zone}} на камере {{cameraName}}, которые не отнесены к тревогам, будут отображаться как обнаружения, независимо от того, в какой зоне они находятся.",
+        "text": "Все объекты {{detectionsLabels}}, не отнесённые к категории в {{zone}} на камере {{cameraName}}, будут отображаться как обнаружения.",
+        "regardlessOfZoneObjectDetectionsTips": "Все объекты {{detectionsLabels}}, не отнесённые к категории на камере {{cameraName}}, будут отображаться как обнаружения, независимо от того, в какой зоне они находятся."
+      },
+      "zoneObjectAlertsTips": "Все объекты {{alertsLabels}}, обнаруженные в {{zone}} на камере {{cameraName}}, будут отображаться как тревоги.",
+      "selectDetectionsZones": "Выберите зоны для обнаружения",
+      "noDefinedZones": "Для этой камеры не определено ни одной зоны.",
+      "objectDetectionsTips": "Все объекты {{detectionsLabels}}, не отнесённые к категории на камере {{cameraName}}, будут отображаться как обнаружения, независимо от того, в какой зоне они находятся.",
+      "title": "Классификация событий",
+      "readTheDocumentation": "Читать документацию",
+      "limitDetections": "Ограничение обнаружения отдельными зонами",
+      "toast": {
+        "success": "Конфигурация классификации событий была сохранена. Перезапустите Frigate для применения изменений."
+      },
+      "unsavedChanges": "Настройки классификации событий для {{camera}} не сохранены"
+    },
+    "title": "Настройки камеры",
+    "streams": {
+      "title": "Потоки",
+      "desc": "Временно отключить камеру до перезапуска Frigate. Отключение камеры полностью останавливает обработку потоков этой камеры в Frigate. Обнаружение, запись и отладка будут недоступны.<br /> <em>Примечание: Это не отключает рестриминг go2rtc.</em>"
+    }
+  },
+  "masksAndZones": {
+    "zones": {
+      "objects": {
+        "title": "Объекты",
+        "desc": "Список объектов, применяемых к этой зоне."
+      },
+      "speedEstimation": {
+        "desc": "Включить оценку скорости объектов в этой зоне. Зона должна состоять ровно из 4 точек.",
+        "title": "Расчёт скорости",
+        "docs": "Читать документацию",
+        "lineBDistance": "Длина линии B ({{unit}})",
+        "lineADistance": "Длина линии A ({{unit}})",
+        "lineCDistance": "Длина линии C ({{unit}})",
+        "lineDDistance": "Длина линии D ({{unit}})"
+      },
+      "label": "Зоны",
+      "documentTitle": "Редактирование зоны - Frigate",
+      "desc": {
+        "title": "Зоны позволяют определить конкретную область кадра, чтобы можно было определить, находится ли объект в заданной области.",
+        "documentation": "Документация"
+      },
+      "add": "Добавить зону",
+      "edit": "Редактировать зону",
+      "point_one": "{{count}} точка",
+      "point_few": "{{count}} точки",
+      "point_many": "{{count}} точек",
+      "clickDrawPolygon": "Кликните, чтобы нарисовать полигон на изображении.",
+      "name": {
+        "title": "Название",
+        "inputPlaceHolder": "Введите название…",
+        "tips": "Название должно содержать не менее 2 символов и не совпадать с названием камеры или другой зоны."
+      },
+      "inertia": {
+        "title": "Инерция",
+        "desc": "Указывает, сколько кадров объект должен находиться в зоне, прежде чем он будет считаться находящимся в ней. <em>Значение по умолчанию: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Время присутствия",
+        "desc": "Устанавливает минимальное время в секундах, которое объект должен находиться в зоне для её активации. <em>Значение по умолчанию: 0</em>"
+      },
+      "allObjects": "Все объекты",
+      "speedThreshold": {
+        "title": "Предел скорости ({{unit}})",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Зоны с установленным временем присутствия более 0 не должны использоваться для вычисления скорости.",
+            "pointLengthError": "Расчёт скорости отключён для этой зоны. Зоны с расчётом скорости должны содержать ровно 4 точки."
+          }
+        },
+        "desc": "Задаёт минимальную скорость объектов для учёта в этой зоне."
+      },
+      "toast": {
+        "success": "Зона ({{zoneName}}) сохранена. Перезапустите Frigate для применения изменений."
+      }
+    },
+    "motionMasks": {
+      "desc": {
+        "documentation": "Документация",
+        "title": "Маски движения используются, чтобы предотвратить срабатывание обнаружений на нежелательные типы движения. Чрезмерная маскировка усложняет отслеживание объектов."
+      },
+      "add": "Новая маска движения",
+      "edit": "Редактировать маску движения",
+      "context": {
+        "documentation": "Читать документацию",
+        "title": "Маски движения используются, чтобы предотвратить срабатывание обнаружений на нежелательные типы движения (например, ветки деревьев, метки времени на камере). При этом маски движения нужно использовать <em>очень умеренно</em>: чрезмерное применение масок затруднит отслеживание объектов."
+      },
+      "clickDrawPolygon": "Нажмите, чтобы нарисовать полигон на изображении.",
+      "polygonAreaTooLarge": {
+        "documentation": "Читать документацию",
+        "title": "Маска движения покрывает {{polygonArea}}% кадра. Большие маски движения не рекомендуются.",
+        "tips": "Маски движения не предотвращают обнаружение объектов. Вместо этого следует использовать обязательную зону."
+      },
+      "point_one": "{{count}} точка",
+      "point_few": "{{count}} точки",
+      "point_many": "{{count}} точек",
+      "label": "Маска движения",
+      "documentTitle": "Редактирование маски движения - Frigate",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} сохранена. Перезапустите Frigate для применения изменений.",
+          "noName": "Маска движения сохранена. Перезапустите Frigate для применения изменений."
+        }
+      }
+    },
+    "filter": {
+      "all": "Все маски и зоны"
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Имя зоны должно содержать не менее 2 символов.",
+          "mustNotBeSameWithCamera": "Имя зоны не должно совпадать с именем камеры.",
+          "hasIllegalCharacter": "Имя зоны содержит недопустимые символы.",
+          "alreadyExists": "Зона с таким именем уже существует для этой камеры.",
+          "mustNotContainPeriod": "Имя зоны не должно содержать точки."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Расстояние должно быть больше или равно 0.1.",
+          "mustBeFilled": "Все поля расстояния должны быть заполнены для расчёта скорости."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Инерция должна быть больше 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Время присутствия должно быть больше или равно 0."
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "Удалить последнюю точку",
+        "error": {
+          "mustBeFinished": "Рисование полигона должно быть завершено перед сохранением."
+        },
+        "delete": {
+          "success": "{{name}} удалён.",
+          "title": "Подтвердить удаление",
+          "desc": "Вы уверены, что хотите удалить {{type}} <em>{{name}}</em>?"
+        },
+        "snapPoints": {
+          "false": "Не привязывать к точкам",
+          "true": "Привязать точки"
+        },
+        "reset": {
+          "label": "Удалить все точки"
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Порог скорости должен быть не меньше 0,1."
+        }
+      }
+    },
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "Не удалось скопировать координаты в буфер обмена."
+      },
+      "success": {
+        "copyCoordinates": "Координаты {{polyName}} скопированы в буфер обмена."
+      }
+    },
+    "objectMasks": {
+      "label": "Маски объектов",
+      "desc": {
+        "documentation": "Документация",
+        "title": "Маски фильтра объектов используются для исключения ложных срабатываний определённого типа объектов в зависимости от местоположения."
+      },
+      "documentTitle": "Редактирование маски объектов - Frigate",
+      "add": "Добавить маску объектов",
+      "clickDrawPolygon": "Кликните, чтобы нарисовать полигон на изображении.",
+      "edit": "Редактирование маски объектов",
+      "context": "Маски фильтра объектов используются для исключения ложных срабатываний определённого типа объектов в зависимости от местоположения.",
+      "point_one": "{{count}} точка",
+      "point_few": "{{count}} точки",
+      "point_many": "{{count}} точек",
+      "objects": {
+        "allObjectTypes": "Все типы объектов",
+        "title": "Объекты",
+        "desc": "Тип объекта, который применяется к этой маске объекта."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} сохранена. Перезапустите Frigate для применения изменений.",
+          "noName": "Маска объектов сохранена. Перезапустите Frigate для применения изменений."
+        }
+      }
+    },
+    "restart_required": "Требуется перезапуск (изменены маски/зоны)",
+    "objectMaskLabel": "Маска объекта {{number}} {{label}}",
+    "motionMaskLabel": "Маска движения {{number}}"
+  },
+  "motionDetectionTuner": {
+    "desc": {
+      "documentation": "Читать руководство по настройке детекции движения",
+      "title": "Frigate использует детекцию движения как первичную проверку, чтобы определить, есть ли в кадре что-то, что стоит анализировать с помощью детекции объектов."
+    },
+    "title": "Настройка детекции движения",
+    "contourArea": {
+      "title": "Площадь контура",
+      "desc": "Параметр площади контура определяет, какие группы изменённых пикселей считаются движением. <em>По умолчанию: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Улучшить контрастность",
+      "desc": "Улучшение контрастности в тёмных сценах. <em>По умолчанию: ВКЛ</em>"
+    },
+    "Threshold": {
+      "title": "Порог",
+      "desc": "Пороговое значение определяет, насколько должна измениться яркость пикселя, чтобы считаться движением. <em>По умолчанию: 30</em>"
+    },
+    "toast": {
+      "success": "Настройки движения сохранены."
+    },
+    "unsavedChanges": "Настройки детекции движения для ({{camera}}) не сохранены"
+  },
+  "debug": {
+    "objectShapeFilterDrawing": {
+      "document": "Читать документацию ",
+      "title": "Отрисовка фильтра формы объекта",
+      "desc": "Отображает прямоугольник на изображении, чтобы видеть данные о площади и соотношении сторон",
+      "tips": "Включите эту опцию, чтобы нарисовать прямоугольник на изображении с камеры для отображения его площади и соотношения сторон. Эти значения можно затем использовать для настройки параметров фильтра формы объектов в вашем конфигурационном файле.",
+      "area": "Площадь",
+      "ratio": "Соотношение",
+      "score": "Оценка"
+    },
+    "detectorDesc": "Frigate использует ваши детекторы ({{detectors}}) для обнаружения объектов в видеопотоке с камер.",
+    "desc": "Режим отладки отображает отслеживаемые объекты и их статистику в реальном времени. Список объектов показывает отложенную по времени сводку обнаруженных объектов.",
+    "debugging": "Отладка",
+    "title": "Отладка",
+    "boundingBoxes": {
+      "colors": {
+        "label": "Цвета ограничивающих рамок объектов",
+        "info": "<li>При запуске каждой метке объекта назначается уникальный цвет</li> <li>Тонкая синяя линия: объект в данный момент не обнаружен</li> <li>Тонкая серая линия: объект помечен как статичный</li> <li>Толстая линия: объект под автотрекингом (если включено)</li>"
+      },
+      "title": "Ограничивающие рамки",
+      "desc": "Показывать ограничивающие рамки вокруг отслеживаемых объектов"
+    },
+    "objectList": "Список объектов",
+    "noObjects": "Нет объектов",
+    "timestamp": {
+      "title": "Метка времени",
+      "desc": "Наложить временную метку на изображение"
+    },
+    "zones": {
+      "title": "Зоны",
+      "desc": "Показать контур всех определённых зон"
+    },
+    "mask": {
+      "title": "Маски движения",
+      "desc": "Показать полигоны маски движения"
+    },
+    "motion": {
+      "title": "Области движения",
+      "desc": "Показать рамки вокруг областей, в которых определяется движение",
+      "tips": "<p><strong>Области движения</strong></p><br><p>Красные рамки будут наложены на участки кадра, где в данный момент обнаружено движение</p>"
+    },
+    "regions": {
+      "title": "Регионы",
+      "desc": "Показать рамку области интереса, отправленной детектору объектов",
+      "tips": "<p><strong>Рамки областей интереса</strong></p><br><p>Ярко-зелёные рамки будут наложены на области интереса в кадре, которые отправляются детектору объектов.</p>"
+    }
+  },
+  "frigatePlus": {
+    "snapshotConfig": {
+      "documentation": "Читать документацию",
+      "title": "Настройки снимков",
+      "cleanCopyWarning": "У некоторых камер включены снимки (snapshots), но отключена опция чистой копии (clean copy). Чтобы иметь возможность отправлять изображения с этих камер в Frigate+, необходимо включить параметр <code>clean_copy</code> в конфигурации снимков.",
+      "table": {
+        "cleanCopySnapshots": "Снимки <code>clean_copy</code>",
+        "camera": "Камера",
+        "snapshots": "Снимки"
+      },
+      "desc": "Отправка в Frigate+ требует, чтобы в вашей конфигурации были включены как снимки (snapshots), так и снимки <code>clean_copy</code>."
+    },
+    "title": "Настройки Frigate+",
+    "apiKey": {
+      "title": "Ключ API Frigate+",
+      "validated": "Ключ API Frigate+ найден и проверен",
+      "notValidated": "Ключ API Frigate+ не найден или не проверен",
+      "desc": "Ключ API Frigate+ включает интеграцию с сервисом Frigate+.",
+      "plusLink": "Подробнее про Frigate+"
+    },
+    "modelInfo": {
+      "title": "Информация о модели",
+      "modelType": "Тип модели",
+      "trainDate": "Дата обучения",
+      "error": "Не удалось загрузить информацию о модели",
+      "availableModels": "Доступные модели",
+      "loadingAvailableModels": "Загрузка доступных моделей…",
+      "modelSelect": "Здесь можно выбрать ваши доступные модели на Frigate+. Обратите внимание, что могут быть выбраны только модели, совместимые с текущей конфигурацией детектора.",
+      "baseModel": "Базовая модель",
+      "supportedDetectors": "Поддерживаемые детекторы",
+      "dimensions": "Размеры",
+      "loading": "Загрузка информации о модели…",
+      "cameras": "Камеры",
+      "plusModelType": {
+        "baseModel": "Базовая модель",
+        "userModel": "Дообученная"
+      }
+    },
+    "toast": {
+      "success": "Настройки Frigate+ были сохранены. Перезапустите Frigate, чтобы применить изменения.",
+      "error": "Не удалось сохранить изменения конфигурации: {{errorMessage}}"
+    },
+    "restart_required": "Требуется перезапуск (изменена модель Frigate+)",
+    "unsavedChanges": "Настройки Frigate+ не сохранены"
+  },
+  "enrichments": {
+    "title": "Настройки обогащения",
+    "semanticSearch": {
+      "readTheDocumentation": "Читать документацию",
+      "desc": "Семантический поиск во Frigate позволяет находить отслеживаемые объекты в записях с помощью самого изображения, пользовательского текстового описания или автоматически сгенерированного описания.",
+      "reindexNow": {
+        "desc": "Переиндексация заново сгенерирует векторные представления для всех отслеживаемых объектов. Этот процесс выполняется в фоновом режиме и может максимально загрузить ваш процессор, а также занять значительное время в зависимости от количества отслеживаемых объектов.",
+        "label": "Переиндексировать сейчас",
+        "confirmTitle": "Подтвердить переиндексацию",
+        "confirmDesc": "Вы уверены, что хотите переиндексировать все векторные представления отслеживаемых объектов? Этот процесс будет выполняться в фоновом режиме, но может максимально загрузить ваш процессор и занять довольно много времени. Вы можете следить за ходом выполнения на странице «Поиск событий».",
+        "confirmButton": "Переиндексировать",
+        "success": "Переиндексация успешно запущена.",
+        "alreadyInProgress": "Переиндексация уже выполняется.",
+        "error": "Не удалось запустить переиндексацию: {{errorMessage}}"
+      },
+      "modelSize": {
+        "desc": "Размер модели, используемой для создания векторных представлений для семантического поиска.",
+        "small": {
+          "desc": "Использование <em>малой</em> модели задействует квантованную версию модели, которая потребляет меньше оперативной памяти и работает быстрее на CPU с очень незначительной разницей в качестве эмбеддингов.",
+          "title": "малый"
+        },
+        "label": "Размер модели",
+        "large": {
+          "title": "большой",
+          "desc": "Использование <em>большой</em> модели задействует полную модель Jina и автоматически запускается на GPU, если это возможно."
+        }
+      },
+      "title": "Семантический поиск"
+    },
+    "birdClassification": {
+      "desc": "Классификация птиц определяет известные виды с помощью квантованной модели TensorFlow. Когда птица распознана, её обиходное название добавляется в качестве дополнительной метки. Эти информация используется в интерфейсе, фильтрах и уведомлениях.",
+      "title": "Классификация птиц"
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "large": {
+          "desc": "При выборе <em>большой</em> модели используется модель векторизации лиц ArcFace, которая автоматически задействует GPU (если он доступен).",
+          "title": "большой"
+        },
+        "small": {
+          "title": "малый",
+          "desc": "Использование <em>малой</em> модели задействует модель FaceNet для векторного представления лиц, которая эффективно работает на большинстве CPU."
+        },
+        "label": "Размер модели",
+        "desc": "Размер модели, используемой для распознавания лиц."
+      },
+      "desc": "Функция распознавания лиц позволяет присваивать людям имена, и когда их лицо будет распознано, Frigate присвоит имя человека в качестве дополнительной метки. Эта информация содержится в пользовательском интерфейсе, фильтрах, а также в уведомлениях.",
+      "title": "Распознавание лиц",
+      "readTheDocumentation": "Читать документацию"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate может распознавать автомобильные номера и автоматически добавлять для объектов типа «автомобиль» обнаруженные символы в поле «распознанный номерной знак» или известное имя в качестве дополнительной метки. Типичный пример использования — чтение номеров автомобилей, заезжающих на подъездную дорожку или проезжающих по улице.",
+      "title": "Распознавание номерных знаков",
+      "readTheDocumentation": "Читать документацию"
+    },
+    "unsavedChanges": "Несохранённые изменения настроек обогащений",
+    "restart_required": "Требуется перезапуск (изменены настройки обогащений)",
+    "toast": {
+      "success": "Настройки обогащений сохранены. Перезапустите Frigate, чтобы применить изменения.",
+      "error": "Не удалось сохранить изменения: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/ru/views/system.json b/web/public/locales/ru/views/system.json
new file mode 100644
index 000000000..3e0052a88
--- /dev/null
+++ b/web/public/locales/ru/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "Статистика камер - Frigate",
+    "storage": "Статистика хранилища - Frigate",
+    "general": "Общая статистика - Frigate",
+    "enrichments": "Статистика обогащений - Frigate",
+    "logs": {
+      "frigate": "Логи Frigate - Frigate",
+      "go2rtc": "Логи Go2RTC - Frigate",
+      "nginx": "Логи Nginx - Frigate"
+    }
+  },
+  "title": "Система",
+  "metrics": "Показатели системы",
+  "logs": {
+    "download": {
+      "label": "Загрузить логи"
+    },
+    "copy": {
+      "label": "Копировать в буфер",
+      "success": "Логи скопированы в буфер",
+      "error": "Не удалось скопировать логи в буфер обмена"
+    },
+    "type": {
+      "label": "Тип",
+      "timestamp": "Метка времени",
+      "tag": "Тег",
+      "message": "Сообщение"
+    },
+    "tips": "Логи передаются с сервера в потоковом режиме",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Ошибка получения логов: {{errorMessage}}",
+        "whileStreamingLogs": "Ошибка при потоковой передаче логов: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "Общие",
+    "detector": {
+      "title": "Детекторы",
+      "inferenceSpeed": "Скорость вывода детектора",
+      "cpuUsage": "Использование CPU детектором",
+      "memoryUsage": "Использование памяти детектором",
+      "temperature": "Температура детектора"
+    },
+    "hardwareInfo": {
+      "title": "Информация об оборудовании",
+      "gpuUsage": "Использование GPU",
+      "gpuMemory": "Память GPU",
+      "gpuEncoder": "GPU-кодировщик",
+      "gpuDecoder": "GPU-декодер",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Вывод Vainfo",
+          "returnCode": "Код возврата: {{code}}",
+          "processOutput": "Вывод процесса:",
+          "processError": "Ошибка процесса:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Вывод Nvidia SMI",
+          "name": "Название: {{name}}",
+          "driver": "Драйвер: {{driver}}",
+          "cudaComputerCapability": "Вычислительная способность CUDA: {{cuda_compute}}",
+          "vbios": "Информация VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Закрыть информацию GPU"
+        },
+        "copyInfo": {
+          "label": "Скопировать информацию о GPU"
+        },
+        "toast": {
+          "success": "Информация о GPU скопирована в буфер обмена"
+        }
+      },
+      "npuMemory": "Память NPU",
+      "npuUsage": "Использование NPU"
+    },
+    "otherProcesses": {
+      "title": "Другие процессы",
+      "processCpuUsage": "Использование CPU процессом",
+      "processMemoryUsage": "Использование памяти процессом"
+    }
+  },
+  "storage": {
+    "title": "Хранилище",
+    "overview": "Обзор",
+    "recordings": {
+      "title": "Записи",
+      "tips": "Это значение показывает, сколько места в хранилище занимают записи из базы данных Frigate. Frigate не учитывает другие файлы на диске.",
+      "earliestRecording": "Первая запись:"
+    },
+    "cameraStorage": {
+      "title": "Хранилище камеры",
+      "camera": "Камера",
+      "unusedStorageInformation": "Информация о неиспользованном хранилище",
+      "storageUsed": "Хранилище",
+      "percentageOfTotalUsed": "Доля (%)",
+      "bandwidth": "Пропускная способность",
+      "unused": {
+        "title": "Не используется",
+        "tips": "Это значение может неточно отражать свободное место, доступное Frigate, если на вашем диске есть другие файлы помимо записей Frigate. Frigate не отслеживает использование хранилища за пределами своих записей."
+      }
+    }
+  },
+  "cameras": {
+    "title": "Камеры",
+    "overview": "Обзор",
+    "info": {
+      "cameraProbeInfo": "Информация о проверке камеры {{camera}}",
+      "streamDataFromFFPROBE": "Данные о потоке получены от <code>ffprobe</code>.",
+      "fetching": "Получение данных камеры",
+      "stream": "Поток {{idx}}",
+      "video": "Видео:",
+      "codec": "Кодек:",
+      "resolution": "Разрешение:",
+      "fps": "FPS:",
+      "unknown": "Неизвестно",
+      "audio": "Аудио:",
+      "error": "Ошибка: {{error}}",
+      "tips": {
+        "title": "Информация о тестировании камеры"
+      },
+      "aspectRatio": "соотношение сторон"
+    },
+    "framesAndDetections": "Кадры/детекции",
+    "label": {
+      "ffmpeg": "FFmpeg",
+      "camera": "камера",
+      "capture": "захват",
+      "skipped": "пропущено",
+      "detect": "детекция",
+      "cameraDetectionsPerSecond": "{{camName}} обнаружений в секунду",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} пропущенных обнаружений в секунду",
+      "cameraFramesPerSecond": "{{camName}} кадров в секунду",
+      "overallFramesPerSecond": "общее количество кадров в секунду",
+      "overallDetectionsPerSecond": "общее количество обнаружений в секунду",
+      "overallSkippedDetectionsPerSecond": "общее количество пропущенных обнаружений в секунду",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} захват",
+      "cameraDetect": "{{camName}} обнаружения"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Данные тестирования скопированы в буфер обмена."
+      },
+      "error": {
+        "unableToProbeCamera": "Не удалось протестировать камеру: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "Обновлено: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "Камера {{camera}} использует чрезмерно много ресурсов CPU в FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "Камера {{camera}} использует слишком много ресурсов CPU для детекции ({{detectAvg}}%)",
+    "healthy": "Система в порядке",
+    "reindexingEmbeddings": "Переиндексация эмбеддингов (выполнено {{processed}} %)",
+    "cameraIsOffline": "{{camera}} отключена",
+    "detectIsVerySlow": "{{detect}} идёт очень медленно ({{speed}} мс)",
+    "detectIsSlow": "{{detect}} идёт медленно ({{speed}} мс)"
+  },
+  "enrichments": {
+    "title": "Обогащение данных",
+    "infPerSecond": "Выводов в секунду",
+    "embeddings": {
+      "image_embedding_speed": "Скорость векторизации изображений",
+      "plate_recognition_speed": "Скорость распознавания номеров",
+      "text_embedding_speed": "Скорость векторизации текста",
+      "face_embedding_speed": "Скорость векторизации лиц",
+      "face_recognition_speed": "Скорость распознавания лиц",
+      "text_embedding": "Векторизация текста",
+      "yolov9_plate_detection_speed": "Скорость обнаружения номеров YOLOv9",
+      "yolov9_plate_detection": "Обнаружение номеров YOLOv9",
+      "face_recognition": "Распознавание лиц",
+      "plate_recognition": "Распознавание номеров",
+      "image_embedding": "Векторизация изображений"
+    }
+  }
+}
diff --git a/web/public/locales/sk/audio.json b/web/public/locales/sk/audio.json
new file mode 100644
index 000000000..8a10ee24a
--- /dev/null
+++ b/web/public/locales/sk/audio.json
@@ -0,0 +1,51 @@
+{
+  "speech": "Reč",
+  "babbling": "Bľabotanie",
+  "yell": "Krik",
+  "bellow": "Rev",
+  "whispering": "Šepkanie",
+  "whoop": "Výskanie",
+  "laughter": "Smiech",
+  "crying": "Plač",
+  "sigh": "Vzdych",
+  "singing": "Spev",
+  "snicker": "Chichotanie",
+  "choir": "Zbor",
+  "yodeling": "Jódlovanie",
+  "chant": "Štrajkovanie",
+  "mantra": "Mantra",
+  "child_singing": "Detský spev",
+  "synthetic_singing": "Syntetický spev",
+  "rapping": "Repovanie",
+  "humming": "Bzučanie",
+  "groan": "Stenanie",
+  "grunt": "Zabručanie",
+  "whistling": "Pískot",
+  "breathing": "Dych",
+  "wheeze": "Sipenie",
+  "snoring": "Chrápanie",
+  "gasp": "Zalapanie po dychu",
+  "snort": "Funenie",
+  "cough": "Kašel",
+  "throat_clearing": "Odkašlanie",
+  "sneeze": "Kýchnutie",
+  "sniff": "Čuchanie",
+  "run": "Beh",
+  "shuffle": "Miešenie",
+  "footsteps": "Kroky",
+  "chewing": "Žuvanie",
+  "biting": "Hrizenie",
+  "bicycle": "Bicykel",
+  "car": "Auto",
+  "motorcycle": "Motocykel",
+  "bus": "Autobus",
+  "train": "Vlak",
+  "boat": "Čln",
+  "bird": "Vták",
+  "cat": "Mačka",
+  "dog": "Pes",
+  "horse": "Kôň",
+  "sheep": "Ovce",
+  "camera": "Kamera",
+  "pant": "Oddychávanie"
+}
diff --git a/web/public/locales/sk/common.json b/web/public/locales/sk/common.json
new file mode 100644
index 000000000..28812e247
--- /dev/null
+++ b/web/public/locales/sk/common.json
@@ -0,0 +1,45 @@
+{
+  "time": {
+    "untilForTime": "Do{{time}}",
+    "untilForRestart": "Do reštartu Frigate.",
+    "untilRestart": "Do reštartu",
+    "ago": "{{timeAgo}} pred časom",
+    "justNow": "Práve teraz",
+    "today": "Dnes",
+    "yesterday": "Včera",
+    "last7": "Posledných 7 dní",
+    "last14": "Posledných 14 dní",
+    "last30": "Posledných 30 dní",
+    "thisWeek": "Tento týždeň",
+    "lastWeek": "Minulý týždeň",
+    "thisMonth": "Tento mesiac",
+    "lastMonth": "Minulý mesiac",
+    "5minutes": "5 minút",
+    "10minutes": "10 minút",
+    "30minutes": "30 minút",
+    "1hour": "1 hodina",
+    "12hours": "12 hodín",
+    "24hours": "24 hodín",
+    "am": "ráno",
+    "yr": "{{time}}r",
+    "pm": "popoludní",
+    "year_one": "{{time}}rok",
+    "year_few": "{{time}}rokov",
+    "year_other": "{{time}}rokov",
+    "mo": "{{time}}mes",
+    "month_one": "{{time}}mesiac",
+    "month_few": "{{time}} mesiace",
+    "month_other": "{{time}} mesiaca",
+    "d": "{{time}}d",
+    "day_one": "{{time}}deň",
+    "day_few": "{{time}}dni",
+    "day_other": "{{time}}dni",
+    "h": "{{time}}h",
+    "hour_one": "{{time}}hodina",
+    "hour_few": "{{time}}hodiny",
+    "hour_other": "{{time}}hodin",
+    "m": "{{time}} min",
+    "s": "{{time}}s"
+  },
+  "selectItem": "Vyberte {{item}}"
+}
diff --git a/web/public/locales/sk/components/auth.json b/web/public/locales/sk/components/auth.json
new file mode 100644
index 000000000..a59f7d0a5
--- /dev/null
+++ b/web/public/locales/sk/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Používateľské meno",
+    "password": "Heslo",
+    "login": "Prihlásenie",
+    "errors": {
+      "usernameRequired": "Vyžaduje sa používateľské meno",
+      "passwordRequired": "Heslo je povinné",
+      "rateLimit": "Prekročený limit. Skúste to znova neskôr.",
+      "loginFailed": "Prihlásenie zlyhalo",
+      "unknownError": "Neznáma chyba. Skontrolujte protokoly.",
+      "webUnknownError": "Neznáma chyba. Skontrolujte protokoly konzoly."
+    }
+  }
+}
diff --git a/web/public/locales/sk/components/camera.json b/web/public/locales/sk/components/camera.json
new file mode 100644
index 000000000..151199d9a
--- /dev/null
+++ b/web/public/locales/sk/components/camera.json
@@ -0,0 +1,67 @@
+{
+  "group": {
+    "label": "Skupiny Kamier",
+    "add": "Pridať skupinu kamier",
+    "edit": "Upraviť skupinu kamier",
+    "delete": {
+      "label": "Odstrániť skupinu kamier",
+      "confirm": {
+        "title": "Potvrďte Odstránenie",
+        "desc": "Ste si istý že chcete vymazať skupinu kamier <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Meno",
+      "placeholder": "Zadajte meno…",
+      "errorMessage": {
+        "mustLeastCharacters": "Názov skupiny kamier musí mať aspoň 2 znaky.",
+        "exists": "Názov skupiny kamier už existuje.",
+        "nameMustNotPeriod": "Názov skupiny kamier nesmie obsahovať bodku.",
+        "invalid": "Neplatný názov skupiny kamier."
+      }
+    },
+    "cameras": {
+      "label": "Kamery",
+      "desc": "Vyberte kamery pre túto skupinu."
+    },
+    "icon": "Ikona",
+    "success": "Skupina kamier ({{name}}) bola uložená.",
+    "camera": {
+      "setting": {
+        "label": "Nastavenia streamovania z kamery",
+        "title": "Nastavenia streamovania {{cameraName}}",
+        "desc": "Zmeňte možnosti živého vysielania pre ovládací panel tejto skupiny kamier. <em>Tieto nastavenia sú špecifické pre zariadenie/prehliadač.</em>",
+        "audioIsAvailable": "Pre tento stream je k dispozícii zvuk",
+        "audioIsUnavailable": "Zvuk nie je pre tento stream k dispozícii",
+        "audio": {
+          "tips": {
+            "title": "Zvuk musí byť vyvedený z vašej kamery a nakonfigurovaný v go2rtc pre tento stream.",
+            "document": "Prečítajte si dokumentáciu "
+          }
+        },
+        "stream": "Prúd",
+        "placeholder": "Vyberte prúd",
+        "streamMethod": {
+          "label": "Metóda streamovania",
+          "placeholder": "Vyberte metódu vysielania",
+          "method": {
+            "noStreaming": {
+              "label": "Žiadny stream",
+              "desc": "Snímky z kamery sa budú aktualizovať iba raz za minútu a nebude prebiehať žiadne živé vysielanie."
+            },
+            "smartStreaming": {
+              "label": "Inteligentné streamovanie (odporúčané)",
+              "desc": "Inteligentné streamovanie aktualizuje obraz z kamery raz za minútu, keď sa neprejavuje žiadna detekovateľná aktivita, aby sa šetrila šírka pásma a zdroje. Keď sa zistí aktivita, obraz sa plynule prepne na živý stream."
+            },
+            "continuousStreaming": {
+              "label": "Nepretržité streamovanie",
+              "desc": {
+                "title": "Obraz z kamery bude vždy vysielaný naživo, keď bude viditeľný na palubnej doske, aj keď nebude detekovaná žiadna aktivita."
+              }
+            }
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sk/components/dialog.json b/web/public/locales/sk/components/dialog.json
new file mode 100644
index 000000000..a254150e2
--- /dev/null
+++ b/web/public/locales/sk/components/dialog.json
@@ -0,0 +1,74 @@
+{
+  "restart": {
+    "title": "Ste si istý, že chcete reštartovať Frigate ?",
+    "button": "Reštart",
+    "restarting": {
+      "title": "Frigate sa reštartuje",
+      "content": "Táto stránka bude obnovená o {{countdown}} sekúnd.",
+      "button": "Vynútiť opätovné načítanie teraz"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Odoslať do Frigate+",
+        "desc": "Objekty na miestach, ktorým sa chcete vyhnúť, nie sú falošne pozitívne. Ich odoslanie ako falošne pozitívnych výsledkov spôsobí zmätok v modeli."
+      },
+      "review": {
+        "question": {
+          "label": "Potvrďte tento štítok pre Frigate Plus",
+          "ask_a": "Je tento objekt typom <code>{{label}}</code>?",
+          "ask_an": "Tento objekt je <code>{{label}}</code>?",
+          "ask_full": "Je tento objekt typom <code>{{untranslatedLabel}}</code>{{translatedLabel}}?"
+        },
+        "state": {
+          "submitted": "Predložené"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Zobraziť v histórii"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Vyberte z časovej osi",
+      "custom": "Vlastné",
+      "start": {
+        "title": "Čas začiatku",
+        "label": "Vyberte Čas začiatku"
+      },
+      "end": {
+        "title": "Čas ukončenia",
+        "label": "Vybrat čas ukončenia"
+      }
+    },
+    "name": {
+      "placeholder": "Pomenujte Export"
+    },
+    "select": "Vybrat",
+    "export": "Exportovať",
+    "selectOrExport": "Vybrať pre Export",
+    "toast": {
+      "success": "Export úspešne spustený. Súbor nájdete v adresári /exports.",
+      "error": {
+        "failed": "Chyba spustenia exportu: {{error}}",
+        "endTimeMustAfterStartTime": "Čas konca musí byť po čase začiatku",
+        "noVaildTimeSelected": "Nie je vybrané žiadne platné časové obdobie"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Uložiť Export",
+      "previewExport": "Export ukážky"
+    }
+  },
+  "streaming": {
+    "label": "Stream",
+    "restreaming": {
+      "disabled": "Opätovné streamovanie nie je pre túto kameru povolené.",
+      "desc": {
+        "title": "Pre ďalšie možnosti živého náhľadu a zvuku pre túto kameru nastavte go2rtc."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sk/components/filter.json b/web/public/locales/sk/components/filter.json
new file mode 100644
index 000000000..e1c1eb472
--- /dev/null
+++ b/web/public/locales/sk/components/filter.json
@@ -0,0 +1,59 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "label": "Označenia",
+    "all": {
+      "title": "Všetky popisky",
+      "short": "Štítky"
+    },
+    "count_one": "{{count}} Štítok",
+    "count_other": "{{count}} Štítkov"
+  },
+  "zones": {
+    "label": "Zóny",
+    "all": {
+      "title": "Všetky zóny",
+      "short": "Zóny"
+    }
+  },
+  "dates": {
+    "selectPreset": "Vyberte predvoľbu…",
+    "all": {
+      "title": "Všetky dátumy",
+      "short": "Dátumy"
+    }
+  },
+  "more": "Viac filtrov",
+  "reset": {
+    "label": "Obnoviť filtre na predvolené hodnoty"
+  },
+  "timeRange": "Časový rozsah",
+  "subLabels": {
+    "label": "Podštítky",
+    "all": "Všetky vedľajšie štítky"
+  },
+  "score": "Skóre",
+  "estimatedSpeed": "Odhadovaná rýchlosť ({{unit}})",
+  "features": {
+    "label": "Vlastnosti",
+    "hasSnapshot": "Má snímku",
+    "hasVideoClip": "Má videoklip",
+    "submittedToFrigatePlus": {
+      "label": "Odoslané do Frigate+",
+      "tips": "Najprv musíte filtrovať sledované objekty, ktoré majú snímku.<br /><br />Sledované objekty bez snímky nie je možné odoslať do Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Zoradiť",
+    "dateAsc": "Dátum (Vzostupne)",
+    "dateDesc": "Dátum (Zostupne)",
+    "scoreAsc": "Skóre objektu (Vzostupne)",
+    "scoreDesc": "Skóre objektu (zostupne)",
+    "speedAsc": "Odhadovaná rýchlosť (vzostupne)",
+    "speedDesc": "Odhadovaná rýchlosť (zostupne)",
+    "relevance": "Relevantnosť"
+  },
+  "cameras": {
+    "label": "Filter kamier"
+  }
+}
diff --git a/web/public/locales/sk/components/icons.json b/web/public/locales/sk/components/icons.json
new file mode 100644
index 000000000..dc780fbe4
--- /dev/null
+++ b/web/public/locales/sk/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Zvoľte ikonu",
+    "search": {
+      "placeholder": "Hľadať ikonu…"
+    }
+  }
+}
diff --git a/web/public/locales/sk/components/input.json b/web/public/locales/sk/components/input.json
new file mode 100644
index 000000000..e13e5ea81
--- /dev/null
+++ b/web/public/locales/sk/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Stiahnuť Video",
+      "toast": {
+        "success": "Video pre náhľad sa začalo sťahovanie."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sk/components/player.json b/web/public/locales/sk/components/player.json
new file mode 100644
index 000000000..fed9c0b0a
--- /dev/null
+++ b/web/public/locales/sk/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "V danom čase nenájdená žiadna nahrávka",
+  "noPreviewFound": "Náhľad nenájdený",
+  "noPreviewFoundFor": "Žiadný náhľad nájdený pre {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Odoslať tento rám na Frigate+?",
+    "submit": "Odoslať"
+  },
+  "livePlayerRequiredIOSVersion": "Pre tento typ živého vysielania je potrebný systém iOS 17.1 alebo novší.",
+  "streamOffline": {
+    "title": "Streamujte Offline",
+    "desc": "V streame <code>detect</code> {{cameraName}} neboli prijaté žiadne snímky, skontrolujte protokoly chýb"
+  },
+  "cameraDisabled": "Kamera je zakázaná",
+  "stats": {
+    "streamType": {
+      "title": "Typ streamu:",
+      "short": "Typ"
+    },
+    "bandwidth": {
+      "title": "Šírka pásma:",
+      "short": "Šírka pásma"
+    },
+    "latency": {
+      "title": "Latencia:",
+      "value": "{{seconds}} sekund",
+      "short": {
+        "title": "Latencia",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Celkový počet snímok:",
+    "droppedFrames": {
+      "title": "Znížené snímky:",
+      "short": {
+        "title": "Spadol",
+        "value": "{{droppedFrames}} snimku"
+      }
+    },
+    "decodedFrames": "Dekódované snímky:",
+    "droppedFrameRate": "Frekvencia stratených snímok:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Snímok bol úspešne odoslaný službe Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Nepodarilo sa odoslať snímku službe Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/sk/objects.json b/web/public/locales/sk/objects.json
new file mode 100644
index 000000000..2b3199df7
--- /dev/null
+++ b/web/public/locales/sk/objects.json
@@ -0,0 +1,35 @@
+{
+  "person": "Osoba",
+  "bicycle": "Bicykel",
+  "car": "Auto",
+  "motorcycle": "Motocykel",
+  "airplane": "Lietadlo",
+  "bus": "Autobus",
+  "train": "Vlak",
+  "boat": "Čln",
+  "traffic_light": "Semafor",
+  "fire_hydrant": "Požiarny hydrant",
+  "street_sign": "Značka ulice",
+  "stop_sign": "Značka Stop",
+  "parking_meter": "Parkovací automat",
+  "bench": "Lavička",
+  "bird": "Vták",
+  "cat": "Mačka",
+  "dog": "Pes",
+  "horse": "Kôň",
+  "sheep": "Ovce",
+  "cow": "Krava",
+  "elephant": "Slon",
+  "bear": "Medveď",
+  "zebra": "Zebra",
+  "giraffe": "Žirafa",
+  "hat": "Čiapka",
+  "backpack": "Batoh",
+  "umbrella": "Dáždnik",
+  "shoe": "Topánka",
+  "eye_glasses": "Okuliare",
+  "handbag": "Kabelka",
+  "tie": "Kravata",
+  "suitcase": "Kufor",
+  "frisbee": "Frisbee"
+}
diff --git a/web/public/locales/sk/views/configEditor.json b/web/public/locales/sk/views/configEditor.json
new file mode 100644
index 000000000..7bfafd009
--- /dev/null
+++ b/web/public/locales/sk/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Editor nastavení - Frigate",
+  "configEditor": "Editor nastavení",
+  "copyConfig": "Kopírovať konfiguráciu",
+  "saveAndRestart": "Uložiť a reštartovať",
+  "saveOnly": "Len uložit",
+  "confirm": "Opustiť bez uloženia?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfigurácia bola skopírovaná do schránky."
+    },
+    "error": {
+      "savingError": "Chyba ukladaní konfigurácie"
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/events.json b/web/public/locales/sk/views/events.json
new file mode 100644
index 000000000..32d23889d
--- /dev/null
+++ b/web/public/locales/sk/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "Upozornenia",
+  "detections": "Detekcie",
+  "motion": {
+    "label": "Pohyb",
+    "only": "Iba pohyb"
+  },
+  "allCameras": "Všetky Kamery",
+  "empty": {
+    "alert": "Nie sú žiadne upozornenia na kontrolu",
+    "detection": "Nie sú žiadne detekcie na kontrolu",
+    "motion": "Nenašli sa žiadne údaje o pohybe"
+  },
+  "timeline": "Časová os",
+  "timeline.aria": "Vyberte časovú os",
+  "events": {
+    "label": "Udalosti",
+    "aria": "Vyberte udalosti",
+    "noFoundForTimePeriod": "Pre toto časové obdobie sa nenašli žiadne udalosti."
+  },
+  "documentTitle": "Recenzia - Frikgate",
+  "recordings": {
+    "documentTitle": "Nahrávky - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Posledných 24 hodín"
+  },
+  "markAsReviewed": "Označiť ako skontrolované",
+  "markTheseItemsAsReviewed": "Označiť tieto položky ako skontrolované",
+  "newReviewItems": {
+    "label": "Zobraziť nové položky recenzie",
+    "button": "Nové položky na kontrolu"
+  },
+  "selected_one": "{{count}} vybraných",
+  "selected_other": "{{count}} vybraných",
+  "camera": "Kamera",
+  "detected": "Detekované"
+}
diff --git a/web/public/locales/sk/views/explore.json b/web/public/locales/sk/views/explore.json
new file mode 100644
index 000000000..5de31b69f
--- /dev/null
+++ b/web/public/locales/sk/views/explore.json
@@ -0,0 +1,53 @@
+{
+  "documentTitle": "Preskúmať - Frigate",
+  "generativeAI": "Generatívna AI",
+  "details": {
+    "timestamp": "Časová pečiatka"
+  },
+  "exploreMore": "Preskumať viac {{label}} objektov",
+  "exploreIsUnavailable": {
+    "title": "Preskúmanie nie je k dispozícii",
+    "embeddingsReindexing": {
+      "context": "Preskúmanie je možné použiť po dokončení opätovného indexovania vložených sledovaných objektov.",
+      "startingUp": "Spúšťanie…",
+      "estimatedTime": "Odhadovaný zostávajúci čas:",
+      "finishingShortly": "Čoskoro končí",
+      "step": {
+        "thumbnailsEmbedded": "Vložené miniatúry: ",
+        "descriptionsEmbedded": "Vložené popisy: ",
+        "trackedObjectsProcessed": "Spracované sledované objekty: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate sťahuje potrebné modely vkladania na podporu funkcie sémantického vyhľadávania. V závislosti od rýchlosti vášho sieťového pripojenia to môže trvať niekoľko minút.",
+      "setup": {
+        "visionModel": "Model vízie",
+        "visionModelFeatureExtractor": "Extraktor prvkov modelu videnia",
+        "textModel": "Textový model",
+        "textTokenizer": "Textový tokenizér"
+      },
+      "tips": {
+        "context": "Po stiahnutí modelov možno budete chcieť znova indexovať vloženia sledovaných objektov.",
+        "documentation": "Prečítajte si dokumentáciu"
+      },
+      "error": "Vyskytla sa chyba. Skontrolujte protokoly Fregaty."
+    }
+  },
+  "trackedObjectDetails": "Podrobnosti sledovaného objektu",
+  "type": {
+    "details": "detaily",
+    "snapshot": "snímka",
+    "video": "video",
+    "object_lifecycle": "životný cyklus objektu"
+  },
+  "objectLifecycle": {
+    "title": "Životný cyklus Objektu",
+    "noImageFound": "Žiadny obrázok pre túto časovú pečiatku.",
+    "createObjectMask": "Vytvoriť masku objektu",
+    "adjustAnnotationSettings": "Upravte nastavenia anotácií",
+    "scrollViewTips": "Posúvaním zobrazíte významné momenty životného cyklu tohto objektu.",
+    "autoTrackingTips": "Pozície ohraničujúcich rámčekov budú pre kamery s automatickým sledovaním nepresné.",
+    "count": "{{first}} z {{second}}",
+    "trackedPoint": "Sledovaný bod"
+  }
+}
diff --git a/web/public/locales/sk/views/exports.json b/web/public/locales/sk/views/exports.json
new file mode 100644
index 000000000..53c83f090
--- /dev/null
+++ b/web/public/locales/sk/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Exportovať - Frigate",
+  "search": "Nájsť",
+  "noExports": "Nenašli sa žiadne exporty",
+  "deleteExport": "Vymazať export",
+  "deleteExport.desc": "Ste si isty že chcete vymazať {{exportName}}?",
+  "editExport": {
+    "title": "Premenovať Export",
+    "desc": "Zadajte nové meno pre tento export.",
+    "saveExport": "Uložiť Export"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Nepodarilo sa premenovať export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/faceLibrary.json b/web/public/locales/sk/views/faceLibrary.json
new file mode 100644
index 000000000..81d546142
--- /dev/null
+++ b/web/public/locales/sk/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "description": {
+    "addFace": "Sprievodca pridáním novej kolekcie do Knižnice tvárí.",
+    "invalidName": "Neplatný názov. Názov može obsahovať iba písmená, čísla, medzery, apostrofy, podtržníky a pomlčky.",
+    "placeholder": "Zadajte názov pre túto kolekciu"
+  },
+  "details": {
+    "person": "Osoba",
+    "subLabelScore": "Skóre podúrovne",
+    "scoreInfo": "Skóre podúrovne je vážené skóre všetkých rozpoznaných dôverností tváre, to ale môže byť odlišné od skóre zobrazeného na snímke.",
+    "face": "Detail tváre",
+    "faceDesc": "Podrobnosti o sledovanom objekte, ktorý vytvoril túto tvár",
+    "timestamp": "Časová pečiatka",
+    "unknown": "Neznáme"
+  },
+  "documentTitle": "Knižnica tvárí",
+  "uploadFaceImage": {
+    "title": "Nahrať obrázok tváre",
+    "desc": "Nahrajte obrázok na skenovanie tvárí a zahrňte ho do {{pageToggle}}"
+  },
+  "collections": "Zbierky",
+  "createFaceLibrary": {
+    "title": "Vytvoriť Zbierku",
+    "desc": "Vytvoriť novú zbierku",
+    "new": "Vytvoriť novú tvár",
+    "nextSteps": "Vybudovanie pevných základov: <li> Pomocou záložky Tréning vyberte a trénujte obrázky pre každú detekovanú osobu.</li><li>Pre dosiahnutie najlepších výsledkov sa zamerajte na snímky s priamym pohľadom; vyhnite sa snímkam, ktoré zachytávajú tváre pod uhlom.</li></ul>"
+  },
+  "steps": {
+    "faceName": "Zadajte Meno tváre",
+    "uploadFace": "Nahrať obrázok tváre",
+    "nextSteps": "Ďalšie kroky",
+    "description": {
+      "uploadFace": "Nahrajte obrázok {{name}}, ktorý zobrazuje tvár osoby z čelného uhla. Obrázok nemusí byť orezaný len na jej tvár."
+    }
+  },
+  "train": {
+    "title": "Trénovať",
+    "aria": "Vybrať tréning",
+    "empty": "Neexistujú žiadne predchádzajúce pokusy o rozpoznávanie tváre"
+  },
+  "selectItem": "Vyberte {{item}}",
+  "selectFace": "Vyberte tvár",
+  "deleteFaceLibrary": {
+    "title": "Odstrániť Meno",
+    "desc": "Ste si istí, že chcete odstrániť kolekciu {{name}}? Tým sa natrvalo odstránia všetky pridružené tváre."
+  },
+  "deleteFaceAttempts": {
+    "title": "Odstrániť tváre",
+    "desc_one": "Ste si istí, že chcete odstrániť {{count}} tvár? Túto akciu nemožno vrátiť späť.",
+    "desc_few": "Ste si istí, že chcete odstrániť {{count}} tvárí? Túto akciu nemožno vrátiť späť.",
+    "desc_other": "Ste si istí, že chcete odstrániť {{count}} tvárí? Túto akciu nemožno vrátiť späť."
+  },
+  "renameFace": {
+    "title": "Premonovať tvár",
+    "desc": "Zadajte nový názov pre {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Odstraniť tváre",
+    "addFace": "Pridať tvár",
+    "renameFace": "Premenovať tvár",
+    "deleteFace": "Zmazať tvár",
+    "uploadImage": "Nahrať obrázok",
+    "reprocessFace": "Nanovo spracovať tvár"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Vyberte súbor s obrázkom."
+    },
+    "dropActive": "Presunte obrázok sem…",
+    "dropInstructions": "Potiahnite sem obrázok alebo ho vyberte kliknutím",
+    "maxSize": "Max velkosť: {{size}} MB"
+  },
+  "nofaces": "Žiadne tváre",
+  "pixels": "{{area}}px",
+  "readTheDocs": "Prečitajte si návod",
+  "trainFaceAs": "Trénovať tvár ako:",
+  "trainFace": "Trénovať tvár",
+  "toast": {
+    "success": {
+      "uploadedImage": "Obrázok bol úspešne nahraný.",
+      "addFaceLibrary": "{{name}} bol(a) úspešne pridaný(á) do knižnice tvárí!",
+      "deletedFace_one": "Úspešne odstránená {{count}} tvár.",
+      "deletedFace_few": "Úspešne odstránené {{count}} tváre.",
+      "deletedFace_other": "Úspešne odstránených {{count}} tvárí.",
+      "deletedName_one": "{{count}} tvár bola úspešne odstránená.",
+      "deletedName_few": "{{count}} tváre boli úspešne odstránené.",
+      "deletedName_other": "{{count}} tvárí bolo úspešne odstránených.",
+      "renamedFace": "Úspešne premenovaná tvár na {{name}}",
+      "trainedFace": "Úspešne natrénovaná tvár.",
+      "updatedFaceScore": "Úspešne aktualizované skóre tváre."
+    },
+    "error": {
+      "uploadingImageFailed": "Nepodarilo sa nahrať obrázok: {{errorMessage}}",
+      "addFaceLibraryFailed": "Nepodarilo sa nastaviť meno tváre: {{errorMessage}}",
+      "deleteFaceFailed": "Nepodarilo sa odstrániť: {{errorMessage}}",
+      "deleteNameFailed": "Nepodarilo sa odstrániť meno: {{errorMessage}}",
+      "renameFaceFailed": "Nepodarilo sa premenovať tvár: {{errorMessage}}",
+      "trainFailed": "Nepodarilo sa trénovať: {{errorMessage}}",
+      "updateFaceScoreFailed": "Nepodarilo sa aktualizovať skóre tváre: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/live.json b/web/public/locales/sk/views/live.json
new file mode 100644
index 000000000..ebb12d4cd
--- /dev/null
+++ b/web/public/locales/sk/views/live.json
@@ -0,0 +1,76 @@
+{
+  "documentTitle": "Naživo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Naživo - Frigate",
+  "lowBandwidthMode": "Režim nízkej šírky pásma",
+  "twoWayTalk": {
+    "enable": "Povoliť obojsmernú komunikáciu",
+    "disable": "Zakázať obojsmernú komunikáciu"
+  },
+  "cameraAudio": {
+    "enable": "Povoliť zvuk kamery",
+    "disable": "Zakázať zvuk kamerám"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Kliknite do rámčeka pre vycentrovanie kamery",
+        "enable": "Povoliť pohyb kliknutím",
+        "disable": "Zakázať pohyb kliknutím"
+      },
+      "left": {
+        "label": "Posuňte PTZ kameru doľava"
+      },
+      "up": {
+        "label": "Posuňte PTZ kameru nahor"
+      },
+      "down": {
+        "label": "Posuňte PTZ kameru nadol"
+      },
+      "right": {
+        "label": "Posuňte PTZ kameru doprava"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Priblíženie PTZ kamery"
+      },
+      "out": {
+        "label": "Oddialenie PTZ kamery"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Kliknite do rámčeka pre vycentrovanie PTZ kamery"
+      }
+    },
+    "presets": "Predvoľby PTZ kamery"
+  },
+  "camera": {
+    "enable": "Povoliť fotoaparát",
+    "disable": "Zakázať kameru"
+  },
+  "muteCameras": {
+    "enable": "Stlmiť všetky kamery",
+    "disable": "Zapnúť zvuk všetkých kamier"
+  },
+  "detect": {
+    "enable": "Povoliť detekciu",
+    "disable": "Zakázať detekciu"
+  },
+  "recording": {
+    "enable": "Povoliť nahrávanie",
+    "disable": "Zakázať nahrávanie"
+  },
+  "snapshots": {
+    "enable": "Povoliť vytváranie snímok",
+    "disable": "Zakázať snímky"
+  },
+  "audioDetect": {
+    "enable": "Povoliť detekciu zvuku",
+    "disable": "Zakázať detekciu zvuku"
+  },
+  "autotracking": {
+    "enable": "Povoliť automatické sledovanie",
+    "disable": "Zakázať automatické sledovanie"
+  }
+}
diff --git a/web/public/locales/sk/views/recording.json b/web/public/locales/sk/views/recording.json
new file mode 100644
index 000000000..d14b8654d
--- /dev/null
+++ b/web/public/locales/sk/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filter",
+  "export": "Exportovať",
+  "calendar": "Kalendár",
+  "filters": "Filtre",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nie je vybratý žiadny platný časový rozsah",
+      "endTimeMustAfterStartTime": "Čas konca musí byť po čase začiatku"
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/search.json b/web/public/locales/sk/views/search.json
new file mode 100644
index 000000000..cc567af26
--- /dev/null
+++ b/web/public/locales/sk/views/search.json
@@ -0,0 +1,46 @@
+{
+  "search": "Nájsť",
+  "savedSearches": "Uložené vyhľadávania",
+  "searchFor": "Hľadať pre {{inputValue}}",
+  "button": {
+    "clear": "Prehľadné vyhľadávanie",
+    "save": "Uložiť vyhladávanie",
+    "delete": "Vymazať uložené vyhladávania",
+    "filterInformation": "Filtrovanie informacii",
+    "filterActive": "Aktívne filtre"
+  },
+  "trackedObjectId": "ID sledovaného objektu",
+  "filter": {
+    "label": {
+      "cameras": "Kamery",
+      "labels": "Štítky",
+      "zones": "Zóny",
+      "sub_labels": "Podštítky",
+      "search_type": "Typ vyhľadávania",
+      "time_range": "Časový rozsah",
+      "before": "Predtým",
+      "after": "Po",
+      "min_score": "Min. Skóre",
+      "max_score": "Maximálne skóre",
+      "min_speed": "Min rýchlosť",
+      "max_speed": "Max rýchlosť",
+      "recognized_license_plate": "Uznaná poznávacia značka",
+      "has_clip": "Má Klip",
+      "has_snapshot": "Má Snímok"
+    },
+    "searchType": {
+      "thumbnail": "Náhľad",
+      "description": "Popis"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Dátum 'pred' musí byť neskorší ako dátum 'po'.",
+        "afterDatebeEarlierBefore": "Dátum „po“ musí byť skorší ako dátum „pred“.",
+        "minScoreMustBeLessOrEqualMaxScore": "Hodnota „min_score“ musí byť menšia alebo rovná hodnote „max_score“.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Hodnota „max_score“ musí byť väčšia alebo rovná hodnote „min_score“.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Hodnota „min_speed“ musí byť menšia alebo rovná hodnote „max_speed“.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Hodnota „max_speed“ musí byť väčšia alebo rovná hodnote „min_speed“."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/settings.json b/web/public/locales/sk/views/settings.json
new file mode 100644
index 000000000..27013c197
--- /dev/null
+++ b/web/public/locales/sk/views/settings.json
@@ -0,0 +1,54 @@
+{
+  "documentTitle": {
+    "default": "Nastavenia - Frigate",
+    "authentication": "Nastavenie autentifikácie- Frigate",
+    "camera": "Nastavenia fotoaparátu – Frigate",
+    "enrichments": "Nastavenia obohatenia – Frigate",
+    "masksAndZones": "Editor masky a zón - Frigate",
+    "motionTuner": "Ladič detekcie pohybu - Frigate",
+    "object": "Ladenie - Frigate",
+    "general": "Všeobecné nastavenia – Frigate",
+    "frigatePlus": "Nastavenia Frigate+ – Frigate",
+    "notifications": "Nastavenia upozornení – Frigate"
+  },
+  "menu": {
+    "ui": "Uživaťelské rozohranie",
+    "enrichments": "Obohatenia",
+    "cameras": "Nastavenia kamier",
+    "masksAndZones": "Masky / Zóny",
+    "motionTuner": "Ladič detekcie pohybu",
+    "debug": "Ladenie",
+    "users": "Uživatelia",
+    "notifications": "Notifikacie",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Máte neuložené zmeny.",
+      "desc": "Chcete uložiť zmeny pred pokračovaním?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Žiadna Kamera"
+  },
+  "general": {
+    "title": "Hlavné nastavenia",
+    "liveDashboard": {
+      "title": "Živý Dashboard",
+      "automaticLiveView": {
+        "label": "Automatický živý náhľad",
+        "desc": "Pri detekcii aktivity sa automaticky prepne na živý náhľad kamery. Vypnutie tejto možnosti spôsobí, že sa statické snímky z kamery na ovládacom paneli Live aktualizujú iba raz za minútu."
+      },
+      "playAlertVideos": {
+        "label": "Prehrať videá s upozornením",
+        "desc": "Predvolene sa nedávne upozornenia na paneli Živé vysielanie prehrávajú ako krátke cyklické videá. Túto možnosť vypnite, ak chcete zobrazovať iba statický obrázok nedávnych upozornení na tomto zariadení/prehliadači."
+      }
+    },
+    "storedLayouts": {
+      "title": "Uložené rozloženia",
+      "desc": "Rozloženie kamier v skupine kamier je možné presúvať/zmeniť jeho veľkosť. Pozície sú uložené v lokálnom úložisku vášho prehliadača.",
+      "clearAll": "Vymazať všetky rozloženia"
+    }
+  }
+}
diff --git a/web/public/locales/sk/views/system.json b/web/public/locales/sk/views/system.json
new file mode 100644
index 000000000..ea3a3927e
--- /dev/null
+++ b/web/public/locales/sk/views/system.json
@@ -0,0 +1,60 @@
+{
+  "documentTitle": {
+    "cameras": "Štatistiky kamier - Frigate",
+    "storage": "Štatistiky úložiska - Frigate",
+    "general": "Všeobecné štatistiky - Frigate",
+    "enrichments": "Štatistiky obohatenia - Frigate",
+    "logs": {
+      "frigate": "Protokoly Frigate - Frigate",
+      "go2rtc": "Protokoly Go2RTC - Frigate",
+      "nginx": "Protokoly Ngnix - Frigate"
+    }
+  },
+  "title": "System",
+  "metrics": "Systémové metriky",
+  "logs": {
+    "download": {
+      "label": "Stiahnúť záznamy"
+    },
+    "copy": {
+      "label": "Kopírovať do schránky",
+      "success": "Protokoly boli skopírované do schránky",
+      "error": "Nepodarilo sa skopírovať protokoly do schránky"
+    },
+    "type": {
+      "label": "Typ",
+      "timestamp": "Časová pečiatka",
+      "tag": "Šťitok (Tag)",
+      "message": "Správa"
+    },
+    "tips": "Záznamy sa streamujú zo servera",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Chyba pri načítaní protokolov: {{errorMessage}}",
+        "whileStreamingLogs": "Chyba pri streamovaní protokolov: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "Hlavný",
+    "detector": {
+      "title": "Detektory",
+      "inferenceSpeed": "Detekčná rýchlosť",
+      "temperature": "Detekčná teplota",
+      "cpuUsage": "Detektor využitia CPU",
+      "memoryUsage": "Detektor využitia pamäte"
+    },
+    "hardwareInfo": {
+      "title": "Informácie o hardvéri",
+      "gpuUsage": "Využitie GPU",
+      "gpuMemory": "Pamäť GPU",
+      "gpuEncoder": "GPU kódovač",
+      "gpuDecoder": "GPU dekodér",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Výstup Vainfo"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sl/audio.json b/web/public/locales/sl/audio.json
new file mode 100644
index 000000000..31562e8c9
--- /dev/null
+++ b/web/public/locales/sl/audio.json
@@ -0,0 +1,110 @@
+{
+  "speech": "Govor",
+  "babbling": "Blebetanje",
+  "yell": "Kričanje",
+  "whispering": "Šepetanje",
+  "laughter": "Smejanje",
+  "crying": "Jokanje",
+  "sigh": "Vzdih",
+  "singing": "Petje",
+  "yodeling": "Jodlanje",
+  "rapping": "Rapanje",
+  "run": "Tek",
+  "whistling": "Žvižganje",
+  "breathing": "Dihanje",
+  "snoring": "Smrčanje",
+  "cough": "Kašelj",
+  "animal": "Žival",
+  "pets": "Ljubljenčki",
+  "dog": "Pes",
+  "cat": "Maček",
+  "meow": "Mijav",
+  "horse": "Konj",
+  "moo": "Muu",
+  "cowbell": "Kravji zvonec",
+  "pig": "Pujs",
+  "goat": "Koza",
+  "sheep": "Ovca",
+  "chicken": "Kokoš",
+  "turkey": "Puran",
+  "duck": "Raca",
+  "goose": "Gos",
+  "bird": "Ptič",
+  "radio": "Radio",
+  "television": "Televizija",
+  "footsteps": "Stopinje",
+  "bus": "Avtobus",
+  "train": "Vlak",
+  "toothbrush": "Ščetka za zobe",
+  "bark": "Lajanje",
+  "mouse": "Miš",
+  "keyboard": "Tipkovnica",
+  "boat": "Ladja",
+  "vehicle": "Prevozno sredstvo",
+  "car": "Avto",
+  "motorcycle": "Motor",
+  "bicycle": "Kolo",
+  "skateboard": "Skejt",
+  "door": "Vrata",
+  "sink": "Umivalnik",
+  "blender": "Sekljalnik",
+  "hair_dryer": "Fen",
+  "scissors": "Škarje",
+  "clock": "Ura",
+  "camera": "Kamera",
+  "bellow": "Spodaj",
+  "whoop": "Ups",
+  "musical_instrument": "Glasbeni inštrument",
+  "choir": "Zbor",
+  "burping": "Riganje",
+  "hiccup": "Kolcanje",
+  "fart": "Prdenje",
+  "hands": "Roke",
+  "finger_snapping": "Tleskanje s prsti",
+  "clapping": "Ploskanje",
+  "heartbeat": "Utrip srca",
+  "cheering": "Navijanje",
+  "applause": "Aplavz",
+  "crowd": "Množica",
+  "children_playing": "Igranje otrok",
+  "howl": "Auuu",
+  "purr": "Predenje",
+  "hiss": "Sikanje",
+  "livestock": "Živina",
+  "cattle": "Govedo",
+  "quack": "Ga-ga",
+  "cluck": "Kokodak",
+  "cock_a_doodle_doo": "Kikiriki",
+  "bleat": "Mee",
+  "neigh": "I-ha ha",
+  "chirp": "Čiv-čiv",
+  "pigeon": "Golob",
+  "coo": "Gru-gru",
+  "crow": "Vrana",
+  "caw": "Kra",
+  "owl": "Sova",
+  "hoot": "Hu-hu",
+  "flapping_wings": "Plapolanje kril",
+  "dogs": "Psi",
+  "rats": "Podgane",
+  "insect": "Insekt",
+  "cricket": "Čriček",
+  "mosquito": "Komar",
+  "fly": "Muha",
+  "frog": "Žaba",
+  "snake": "Kača",
+  "music": "Glasba",
+  "guitar": "Kitara",
+  "electric_guitar": "Električna kitara",
+  "bass_guitar": "Bas kitara",
+  "acoustic_guitar": "Akustična kitara",
+  "strum": "Brenkanje",
+  "banjo": "Bendžo",
+  "sitar": "Sitar",
+  "mandolin": "Mandolina",
+  "ukulele": "Ukulele",
+  "piano": "Klavir",
+  "electric_piano": "Digitalni klavir",
+  "organ": "Orgle",
+  "electronic_organ": "Digitalne orgle"
+}
diff --git a/web/public/locales/sl/common.json b/web/public/locales/sl/common.json
new file mode 100644
index 000000000..ff21c10ce
--- /dev/null
+++ b/web/public/locales/sl/common.json
@@ -0,0 +1,111 @@
+{
+  "time": {
+    "untilForTime": "Do {{time}}",
+    "untilRestart": "Do ponovnega zagona",
+    "ago": "{{timeAgo}} nazaj",
+    "justNow": "Zdaj",
+    "untilForRestart": "Dokler se Frigate ne zažene ponovno.",
+    "thisWeek": "Ta teden",
+    "lastWeek": "Prejšnji teden",
+    "thisMonth": "Ta mesec",
+    "year_one": "{{time}} leto",
+    "year_two": "{{time}} leti",
+    "year_few": "{{time}} leta",
+    "year_other": "{{time}} let",
+    "second_one": "{{time}} sekunda",
+    "second_two": "{{time}} sekundi",
+    "second_few": "{{time}} sekunde",
+    "second_other": "{{time}} sekund",
+    "month_one": "{{time}} mesec",
+    "month_two": "{{time}} meseca",
+    "month_few": "{{time}} meseci",
+    "month_other": "{{time}} mesecev",
+    "day_one": "{{time}} dan",
+    "day_two": "{{time}} dneva",
+    "day_few": "{{time}} dnevi",
+    "day_other": "{{time}} dni",
+    "hour_one": "{{time}} ura",
+    "hour_two": "{{time}} uri",
+    "hour_few": "{{time}} ure",
+    "hour_other": "{{time}} ur",
+    "minute_one": "{{time}} minuta",
+    "minute_two": "{{time}} minuti",
+    "minute_few": "{{time}} minute",
+    "minute_other": "{{time}} minut",
+    "10minutes": "10 minut",
+    "lastMonth": "Prejšnji mesec",
+    "5minutes": "5 minut",
+    "today": "Danes",
+    "yesterday": "Včeraj",
+    "last7": "Zadnjih 7 dni",
+    "last14": "Zadnjih 14 dni",
+    "last30": "Zadnjih 30 dni",
+    "1hour": "1 ura",
+    "12hours": "12 ur",
+    "24hours": "24 ur",
+    "30minutes": "30 minut",
+    "am": "am",
+    "pm": "pm",
+    "mo": "{{time}}mes",
+    "d": "{{time}}d",
+    "h": "{{time}}h",
+    "m": "{{time}}m",
+    "s": "{{time}}s",
+    "yr": "le"
+  },
+  "menu": {
+    "live": {
+      "cameras": {
+        "count_one": "{{count}} kamera",
+        "count_two": "{{count}} kameri",
+        "count_few": "{{count}} kamere",
+        "count_other": "{{count}} kamer",
+        "title": "Kamere"
+      },
+      "allCameras": "Vse Kamere",
+      "title": "V Živo"
+    },
+    "explore": "Brskanje",
+    "theme": {
+      "nord": "Nord"
+    },
+    "review": "Pregled"
+  },
+  "button": {
+    "apply": "Uporabi",
+    "reset": "Ponastavi",
+    "done": "Končano",
+    "disable": "Izklopi",
+    "close": "Zapri",
+    "back": "Nazaj",
+    "pictureInPicture": "Slika v Sliki",
+    "history": "Zgodovina",
+    "disabled": "Izklopljeno",
+    "copy": "Kopiraj",
+    "exitFullscreen": "Izhod iz Celozaslonskega načina",
+    "enabled": "Omogočen",
+    "enable": "Vklopi",
+    "save": "Shrani",
+    "saving": "Shranjevanje …",
+    "cancel": "Prekliči",
+    "fullscreen": "Celozaslonski način"
+  },
+  "unit": {
+    "speed": {
+      "kph": "km/h",
+      "mph": "mi/h"
+    },
+    "length": {
+      "feet": "čevelj",
+      "meters": "metri"
+    }
+  },
+  "label": {
+    "back": "Pojdi nazaj"
+  },
+  "pagination": {
+    "next": {
+      "label": "Pojdi na naslednjo stran"
+    }
+  }
+}
diff --git a/web/public/locales/sl/components/auth.json b/web/public/locales/sl/components/auth.json
new file mode 100644
index 000000000..547381ca1
--- /dev/null
+++ b/web/public/locales/sl/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Uporabniško ime",
+    "password": "Geslo",
+    "login": "Prijava",
+    "errors": {
+      "usernameRequired": "Uporabniško ime je potrebno",
+      "passwordRequired": "Geslo je zahtevano",
+      "rateLimit": "Preveč poskusov, poskusite znova kasneje.",
+      "loginFailed": "Prijava ni uspela",
+      "unknownError": "Neznana napaka. Preverite dnevnike.",
+      "webUnknownError": "Neznana napaka. Preverite dnevnike konzole."
+    }
+  }
+}
diff --git a/web/public/locales/sl/components/camera.json b/web/public/locales/sl/components/camera.json
new file mode 100644
index 000000000..9ee8f4046
--- /dev/null
+++ b/web/public/locales/sl/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Skupine kamer",
+    "add": "Dodaj skupino kamer",
+    "edit": "Uredi skupino kamer",
+    "delete": {
+      "label": "Izbriši skupino kamer",
+      "confirm": {
+        "title": "Potrdite izbris",
+        "desc": "Ali ste prepričani, da želite izbrisati skupino kamer z imenom <em>{{name}}</em>?"
+      }
+    },
+    "camera": {
+      "setting": {
+        "desc": "Spremeni možnosti prenosa v živo za nadzorno ploščo te skupine kamer. <em>Te nastavitve so specifične za napravo/brskalnik.</em>",
+        "streamMethod": {
+          "method": {
+            "smartStreaming": {
+              "desc": "Pametno pretakanje bo posodabljalo sliko vaše kamere enkrat na minuto, kadar ni zaznane nobene aktivnosti, da prihrani pasovno širino in vire. Ko je zaznana aktivnost, se slika brez prekinitve preklopi na prenos v živo.",
+              "label": "Pametno pretakanje (priporočeno)"
+            },
+            "continuousStreaming": {
+              "desc": {
+                "warning": "Neprekinjeno pretakanje lahko povzroči visoko porabo pasovne širine in težave z zmogljivostjo. Uporabljajte previdno.",
+                "title": "Slika kamere bo na nadzorni plošči vedno prenos v živo, tudi če ni zaznane nobene aktivnosti."
+              },
+              "label": "Neprekinjeno pretakanje"
+            },
+            "noStreaming": {
+              "desc": "Slike kamere se bodo posodabljale enkrat na minuto.",
+              "label": "Brez pretakanja"
+            }
+          },
+          "label": "Metoda pretakanja",
+          "placeholder": "Izberiti metodo pretakanja"
+        },
+        "audio": {
+          "tips": {
+            "title": "Izhod za zvok mora biti nastavljen v go2rtc za ta tok.",
+            "document": "Preberite dokumentacijo "
+          }
+        },
+        "label": "Nastavitve pretakanja kamer",
+        "title": "Nastavitve pretakanja kamere {{cameraName}}",
+        "audioIsAvailable": "Zvok za ta tok je na voljo",
+        "audioIsUnavailable": "Zvok za ta tok ni na voljo",
+        "compatibilityMode": {
+          "label": "Način združjivosti",
+          "desc": "To možnost omogočite le, če se v prenosu v živo vaše kamere pojavljajo barvni artefakti in diagonalna črta na desni strani slike."
+        },
+        "placeholder": "Izberite tok",
+        "stream": "Tok"
+      }
+    },
+    "name": {
+      "label": "Ime",
+      "placeholder": "Vpišite ime …",
+      "errorMessage": {
+        "mustLeastCharacters": "Ime skupine kamer mora imeti vsaj 2 znaka.",
+        "exists": "Skupina kamer s tem imenom že obstaja.",
+        "nameMustNotPeriod": "Ime skupine kamer ne sme vsebovati pike.",
+        "invalid": "Neveljavno ime skupine kamer."
+      }
+    },
+    "cameras": {
+      "label": "Kamere",
+      "desc": "Izberite kamere za to skupino."
+    },
+    "icon": "Ikona",
+    "success": "Skupina kamer z imenom ({{name}}) je bila shranjena."
+  },
+  "debug": {
+    "options": {
+      "label": "Nastavitve",
+      "title": "Lastnosti",
+      "showOptions": "Prikaži lastnosti",
+      "hideOptions": "Skrij lastnosti"
+    },
+    "boundingBox": "Omejitve okvirja",
+    "timestamp": "Časovni žig",
+    "zones": "Območja",
+    "mask": "Maska",
+    "motion": "Gibanje",
+    "regions": "Regije"
+  }
+}
diff --git a/web/public/locales/sl/components/dialog.json b/web/public/locales/sl/components/dialog.json
new file mode 100644
index 000000000..e63f7c34b
--- /dev/null
+++ b/web/public/locales/sl/components/dialog.json
@@ -0,0 +1,34 @@
+{
+  "restart": {
+    "title": "Ali ste prepričani, da želite ponovno zagnati Frigate?",
+    "button": "Ponovni zagon",
+    "restarting": {
+      "title": "Frigate se ponovno zaganja",
+      "content": "Ta stran se bo osvežila čez {{countdown}}.",
+      "button": "Osveži zdaj"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "ask_full": "Ali je ta objekt <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Oddano"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Poglej zgodovino"
+    }
+  },
+  "export": {
+    "time": {
+      "lastHour_one": "Zadnja ura",
+      "lastHour_two": "Zadnji {{count}} uri",
+      "lastHour_few": "Zadnje {{count}} ure",
+      "lastHour_other": "Zadnjih {{count}} ur"
+    }
+  }
+}
diff --git a/web/public/locales/sl/components/filter.json b/web/public/locales/sl/components/filter.json
new file mode 100644
index 000000000..b202e1554
--- /dev/null
+++ b/web/public/locales/sl/components/filter.json
@@ -0,0 +1,61 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "label": "Oznake",
+    "all": {
+      "title": "Vse oznake",
+      "short": "Oznake"
+    },
+    "count_one": "{{count}} oznaka",
+    "count_other": "{{count}} oznak"
+  },
+  "dates": {
+    "selectPreset": "Izberite nastavitev …",
+    "all": {
+      "title": "Vsi datumi",
+      "short": "Datumi"
+    }
+  },
+  "more": "Več filtrov",
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "summary": "Povzetek"
+      }
+    }
+  },
+  "subLabels": {
+    "all": "Vse podoznake",
+    "label": "Podoznake"
+  },
+  "sort": {
+    "relevance": "Ustreznost",
+    "dateAsc": "Datum (naraščajoče)"
+  },
+  "zones": {
+    "label": "Cone",
+    "all": {
+      "title": "Vse cone",
+      "short": "Cone"
+    }
+  },
+  "timeRange": "Časovno obdobje",
+  "reset": {
+    "label": "Ponastavi filtre na privzete vrednosti"
+  },
+  "logSettings": {
+    "disableLogStreaming": "Izklopite zapisovanje dnevnika",
+    "allLogs": "Vsi dnevniki"
+  },
+  "trackedObjectDelete": {
+    "title": "Potrdite brisanje",
+    "desc": "Izbris teh {{objectLength}} sledenih predmetov odstrani pripadajoče slikovne posneteke, shranjene vstavke in povezane vnose življenskega cikla predmetov. Posnetki teh sledenih predmetov v pogledu Zgodovina se <em>NE</em> bodo izbrisali. <br /><br />Ste prepričani, da želite nadaljevati?<br /><br />Pritisnite tipko <em>Shift</em> , da v prihodnje preskočite dialog.",
+    "toast": {
+      "success": "Uspešno izbrisani sledeni predmeti.",
+      "error": "Ni uspelo izbrisati sledenih predmetov: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtrirajte po maski območja"
+  }
+}
diff --git a/web/public/locales/sl/components/icons.json b/web/public/locales/sl/components/icons.json
new file mode 100644
index 000000000..94e97439a
--- /dev/null
+++ b/web/public/locales/sl/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Izberite ikono",
+    "search": {
+      "placeholder": "Išči ikono .…"
+    }
+  }
+}
diff --git a/web/public/locales/sl/components/input.json b/web/public/locales/sl/components/input.json
new file mode 100644
index 000000000..820677c23
--- /dev/null
+++ b/web/public/locales/sl/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Prenesi video",
+      "toast": {
+        "success": "Izbrani posnetek se je začel prenašati."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sl/components/player.json b/web/public/locales/sl/components/player.json
new file mode 100644
index 000000000..cc144a5d9
--- /dev/null
+++ b/web/public/locales/sl/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Posnetki niso bili najdeni",
+  "noPreviewFound": "Predogled ni bil najden",
+  "noPreviewFoundFor": "Predogled za {{cameraName}} ni na voljo",
+  "submitFrigatePlus": {
+    "title": "Želite poslati ta okvir na Frigate+?",
+    "submit": "Pošlji"
+  },
+  "stats": {
+    "streamType": {
+      "title": "Tip pretoka:",
+      "short": "Tip"
+    },
+    "bandwidth": {
+      "title": "Pasovna širina:",
+      "short": "Pasovna širina"
+    },
+    "latency": {
+      "value": "{{seconds}} sekund",
+      "title": "Zakasnitev:",
+      "short": {
+        "value": "{{seconds}} s",
+        "title": "Zakasnitev"
+      }
+    },
+    "totalFrames": "Skupno število sličic:",
+    "droppedFrames": {
+      "title": "Izpuščene sličice:",
+      "short": {
+        "title": "Izpuščeno",
+        "value": "{{droppedFrames}} sličic"
+      }
+    },
+    "decodedFrames": "Dekodirane sličice:",
+    "droppedFrameRate": "Stopnja izpuščenih sličic:"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 je zahteven za ta tip pretoka.",
+  "streamOffline": {
+    "title": "Pretok ni na voljo",
+    "desc": "Na toku <code>detect</code> kamere {{cameraName}} ni bilo prejetih nobenih sličic, preverite dnevnik napak"
+  },
+  "cameraDisabled": "Kamera je onemogočena",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Sličica je bila uspešno poslana v Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Pošiljanje sličice v Frigate+ ni uspelo"
+    }
+  }
+}
diff --git a/web/public/locales/sl/objects.json b/web/public/locales/sl/objects.json
new file mode 100644
index 000000000..19b21bfe0
--- /dev/null
+++ b/web/public/locales/sl/objects.json
@@ -0,0 +1,120 @@
+{
+  "cat": "Maček",
+  "sheep": "Ovca",
+  "bird": "Ptič",
+  "animal": "Žival",
+  "goat": "Koza",
+  "horse": "Konj",
+  "dog": "Pes",
+  "skis": "Smuči",
+  "surfboard": "Surf",
+  "laptop": "Prenosnik",
+  "tennis_racket": "Teniški lopar",
+  "deer": "Srna",
+  "waste_bin": "Koš za smeti",
+  "skateboard": "Skejt",
+  "baseball_glove": "Bejzbol rokavica",
+  "snowboard": "Snežna deska",
+  "bottle": "Flaša",
+  "squirrel": "Veverica",
+  "raccoon": "Rakun",
+  "robot_lawnmower": "Robotska kosilnica",
+  "person": "Oseba",
+  "bicycle": "Kolo",
+  "car": "Avto",
+  "motorcycle": "Motor",
+  "airplane": "Letalo",
+  "bus": "Avtobus",
+  "train": "Vlak",
+  "boat": "Ladja",
+  "traffic_light": "Semafor",
+  "fire_hydrant": "Hidrant",
+  "street_sign": "Prometni znak",
+  "stop_sign": "Stop znak",
+  "parking_meter": "Parkomat",
+  "bench": "Klop",
+  "cow": "Krava",
+  "elephant": "Slon",
+  "bear": "Medved",
+  "zebra": "Zebra",
+  "giraffe": "Žirafa",
+  "hat": "Kapa",
+  "backpack": "Nahrbtnik",
+  "umbrella": "Dežnik",
+  "shoe": "Čevelj",
+  "eye_glasses": "Očala",
+  "handbag": "Torbica",
+  "tie": "Kravata",
+  "suitcase": "Aktovka",
+  "frisbee": "Frizbi",
+  "sports_ball": "Žoga",
+  "kite": "Kajt",
+  "baseball_bat": "Bejzbol kij",
+  "plate": "Pladenj",
+  "wine_glass": "Kozarec za vino",
+  "cup": "Šalica",
+  "fork": "Vilica",
+  "knife": "Nož",
+  "spoon": "Žlica",
+  "bowl": "Skleda",
+  "banana": "Banana",
+  "apple": "Jabolka",
+  "sandwich": "Sendvič",
+  "orange": "Pomaranča",
+  "broccoli": "Brokoli",
+  "carrot": "Korenček",
+  "hot_dog": "Hot dog",
+  "pizza": "Pica",
+  "donut": "Krof",
+  "cake": "Torta",
+  "chair": "Stol",
+  "couch": "Kavč",
+  "potted_plant": "Lončnica",
+  "bed": "Postelja",
+  "mirror": "Ogledalo",
+  "dining_table": "Jedilna miza",
+  "window": "Okno",
+  "desk": "Miza",
+  "toilet": "Stranišče",
+  "door": "Vrata",
+  "tv": "Televizija",
+  "mouse": "Miš",
+  "remote": "Daljinec",
+  "keyboard": "Tipkovnica",
+  "cell_phone": "Telefon",
+  "microwave": "Mikrovalovna pečica",
+  "oven": "Pečica",
+  "toaster": "Opekač",
+  "sink": "Umivalnik",
+  "refrigerator": "Zmrzovalnik",
+  "blender": "Sekljalnik",
+  "book": "Knjiga",
+  "clock": "Ura",
+  "vase": "Vaza",
+  "scissors": "Škarje",
+  "teddy_bear": "Plišasti medvedek",
+  "hair_dryer": "Fen",
+  "toothbrush": "Ščetka za zobe",
+  "hair_brush": "Krtača za lase",
+  "vehicle": "Prevozno sredstvo",
+  "bark": "Lajanje",
+  "fox": "Lisica",
+  "rabbit": "Zajec",
+  "on_demand": "Na Zahtevo",
+  "face": "Obraz",
+  "license_plate": "Registerska tablica",
+  "package": "Paket",
+  "bbq_grill": "Roštilj",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Čistilec",
+  "postnl": "PostNL",
+  "nzpost": "NSPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/sl/views/configEditor.json b/web/public/locales/sl/views/configEditor.json
new file mode 100644
index 000000000..b8f76525d
--- /dev/null
+++ b/web/public/locales/sl/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Urejevalnik konfiguracij - Frigate",
+  "configEditor": "Urejevalnik konfiguracij",
+  "copyConfig": "Kopiraj konfiguracijo",
+  "saveAndRestart": "Shrani & ponovno zaženi",
+  "saveOnly": "Shani",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguracija kopirana v odložišče."
+    },
+    "error": {
+      "savingError": "Napaka pri shranjevanju konfiguracije"
+    }
+  },
+  "confirm": "Izhod brez shranjevanja?"
+}
diff --git a/web/public/locales/sl/views/events.json b/web/public/locales/sl/views/events.json
new file mode 100644
index 000000000..a0570b959
--- /dev/null
+++ b/web/public/locales/sl/views/events.json
@@ -0,0 +1,38 @@
+{
+  "detected": "zaznanih",
+  "events": {
+    "noFoundForTimePeriod": "Za to časovno obdobje ni bilo najdenih dogodkov.",
+    "label": "Dogodki",
+    "aria": "Izberi dogodke"
+  },
+  "allCameras": "Vse kamere",
+  "empty": {
+    "motion": "Ni najdenih podatkov o gibanju",
+    "alert": "Ni opozoril za pregled",
+    "detection": "Ni zaznanih elementov za pregled"
+  },
+  "recordings": {
+    "documentTitle": "Posnetki - Frigate"
+  },
+  "camera": "Kamera",
+  "documentTitle": "Pregled - Frigate",
+  "alerts": "Opozorila",
+  "detections": "Zaznavanja",
+  "motion": {
+    "label": "Premik",
+    "only": "Samo premik"
+  },
+  "timeline": "Časovnica",
+  "timeline.aria": "Izberi časovnico",
+  "calendarFilter": {
+    "last24Hours": "Zadnjih 24 ur"
+  },
+  "markAsReviewed": "Označi kot Pregledano",
+  "markTheseItemsAsReviewed": "Označi te elemente kot pregledane",
+  "newReviewItems": {
+    "label": "Ogled novih elementov za pregled",
+    "button": "Novi elementi za pregled"
+  },
+  "selected_one": "{{count}} izbranih",
+  "selected_other": "{{count}} izbranih"
+}
diff --git a/web/public/locales/sl/views/explore.json b/web/public/locales/sl/views/explore.json
new file mode 100644
index 000000000..97e7ca664
--- /dev/null
+++ b/web/public/locales/sl/views/explore.json
@@ -0,0 +1,73 @@
+{
+  "exploreIsUnavailable": {
+    "title": "Funkcija razišči ni na voljo",
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Model vida"
+      },
+      "context": "Frigate prenaša potrebne modele vdelave za podporo funkcije semantičnega iskanja. To lahko traja nekaj minut, odvisno od hitrosti vaše omrežne povezave."
+    },
+    "embeddingsReindexing": {
+      "step": {
+        "descriptionsEmbedded": "Vdelani opisi: ",
+        "trackedObjectsProcessed": "Obdelani sledeni predmeti: "
+      }
+    }
+  },
+  "documentTitle": "Razišči - Frigate",
+  "generativeAI": "Generativna UI",
+  "exploreMore": "Razišči več {{label}} objektov",
+  "details": {
+    "button": {
+      "regenerate": {
+        "label": "Regeneriraj opise sledenih predmetov",
+        "title": "Regeneriraj"
+      },
+      "findSimilar": "Najdi podobno"
+    },
+    "camera": "Kamera",
+    "estimatedSpeed": "Ocenjena hitrost",
+    "description": {
+      "placeholder": "Opis sledenega predmeta",
+      "label": "Opis"
+    },
+    "recognizedLicensePlate": "Prepoznana registrska tablica",
+    "objects": "Predmeti",
+    "zones": "Območja",
+    "timestamp": "Časovni žig"
+  },
+  "itemMenu": {
+    "findSimilar": {
+      "aria": "Najdi podobne sledene predmete",
+      "label": "Najdi podobno"
+    },
+    "submitToPlus": {
+      "label": "Predloži v Frigate+",
+      "aria": "Predloži v Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "Poglej v zgodovini",
+      "aria": "Poglej v zgodovini"
+    },
+    "deleteTrackedObject": {
+      "label": "Izbriši ta sledeni predmet"
+    },
+    "viewObjectLifecycle": {
+      "aria": "Pokaži življenjski cikel predmeta",
+      "label": "Poglej življenjski cikel predmeta"
+    },
+    "downloadVideo": {
+      "label": "Prenesi video",
+      "aria": "Prenesi video"
+    },
+    "downloadSnapshot": {
+      "label": "Prenesi posnetek",
+      "aria": "Prenesi posnetek"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Potrdi brisanje"
+    }
+  }
+}
diff --git a/web/public/locales/sl/views/exports.json b/web/public/locales/sl/views/exports.json
new file mode 100644
index 000000000..59ca52181
--- /dev/null
+++ b/web/public/locales/sl/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Izvoz - Frigate",
+  "search": "Iskanje",
+  "noExports": "Izovzi niso najdeni",
+  "deleteExport": "Izbriši izvoz",
+  "deleteExport.desc": "Ali ste prepričani, da želite izbrisati {{exportName}}?",
+  "editExport": {
+    "title": "Preimenuj izvoz",
+    "desc": "Vpišite novo ime za ta izvoz.",
+    "saveExport": "Shrani izvoz"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Napaka pri preimenovanju izvoza: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/sl/views/faceLibrary.json b/web/public/locales/sl/views/faceLibrary.json
new file mode 100644
index 000000000..d59acc47e
--- /dev/null
+++ b/web/public/locales/sl/views/faceLibrary.json
@@ -0,0 +1,34 @@
+{
+  "description": {
+    "addFace": "Sprehodite se skozi dodajanje nove zbirke v knjižnico obrazov.",
+    "placeholder": "Vnesite ime za to zbirko",
+    "invalidName": "Neveljavno ime. Ime lahko vsebuje črke, števila, presledke, narekovaje, podčrtaje in pomišljaje."
+  },
+  "details": {
+    "person": "Oseba",
+    "unknown": "Nenznano",
+    "timestamp": "Časovni žig"
+  },
+  "uploadFaceImage": {
+    "title": "Naloži nov obraz"
+  },
+  "deleteFaceAttempts": {
+    "desc_one": "Ali ste prepričani, da želite izbrisati {{count}} obraz? Tega dejanja ni mogoče razveljaviti.",
+    "desc_two": "Ali ste prepričani, da želite izbrisati {{count}} obraza? Tega dejanja ni mogoče razveljaviti.",
+    "desc_few": "Ali ste prepričani, da želite izbrisati {{count}} obraze? Tega dejanja ni mogoče razveljaviti.",
+    "desc_other": "Ali ste prepričani, da želite izbrisati {{count}} obrazov? Tega dejanja ni mogoče razveljaviti."
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "Uspešno izbrisan {{count}} obraz.",
+      "deletedFace_two": "Uspešno izbrisana {{count}} obraza.",
+      "deletedFace_few": "Uspešno izbrisani {{count}} obrazi.",
+      "deletedFace_other": "Uspešno izbrisanih {{count}} obrazov.",
+      "deletedName_one": "{{count}} je bil uspešno izbrisan.",
+      "deletedName_two": "{{count}} obraza sta bila uspešno izbrisana.",
+      "deletedName_few": "{{count}} obrazi so bili uspešno izbrisani.",
+      "deletedName_other": "{{count}} obrazov je bilo uspešno izbrisanih."
+    }
+  },
+  "documentTitle": "Knjižnica obrazov - Frigate"
+}
diff --git a/web/public/locales/sl/views/live.json b/web/public/locales/sl/views/live.json
new file mode 100644
index 000000000..212137ba7
--- /dev/null
+++ b/web/public/locales/sl/views/live.json
@@ -0,0 +1,22 @@
+{
+  "documentTitle": "V živo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - v živo - Frigate",
+  "lowBandwidthMode": "Nizkopasovni način",
+  "twoWayTalk": {
+    "enable": "Omogoči dvosmerni pogovor",
+    "disable": "Onemogoči Obojesmerni Pogovor"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "disable": "Onemogoči funkcijo klikni in premakni"
+      },
+      "left": {
+        "label": "Premakni PTZ kamero v levo"
+      },
+      "up": {
+        "label": "Premakni PTZ kamero gor"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sl/views/recording.json b/web/public/locales/sl/views/recording.json
new file mode 100644
index 000000000..20dacb6cc
--- /dev/null
+++ b/web/public/locales/sl/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filter",
+  "export": "Izvoz",
+  "calendar": "Koledar",
+  "filters": "Filtri",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Izbrano časovno obdobje ni veljavno",
+      "endTimeMustAfterStartTime": "Končen čas mora biti po začetnem času"
+    }
+  }
+}
diff --git a/web/public/locales/sl/views/search.json b/web/public/locales/sl/views/search.json
new file mode 100644
index 000000000..b2233e1e4
--- /dev/null
+++ b/web/public/locales/sl/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Iskanje",
+  "savedSearches": "Shranjena iskanja",
+  "searchFor": "Iskanje za {{inputValue}}",
+  "button": {
+    "clear": "Izbriši iskanje",
+    "save": "Shrani iskanje",
+    "delete": "Izbriši shranjeno iskanje",
+    "filterInformation": "Informacije o filtru",
+    "filterActive": "Aktivirani filtri"
+  },
+  "filter": {
+    "label": {
+      "cameras": "Kamere",
+      "labels": "Oznake",
+      "zones": "Območja",
+      "sub_labels": "Podoznake",
+      "search_type": "Tip iskanja",
+      "time_range": "Časovni razpon",
+      "before": "Pred",
+      "after": "Po",
+      "min_score": "Najmanj točk",
+      "max_score": "Največ točk",
+      "recognized_license_plate": "Prepoznana registrska tablica",
+      "has_clip": "Ima posnetek",
+      "max_speed": "Najvišja hitrost",
+      "min_speed": "Najnižja hitrost",
+      "has_snapshot": "Ima sliko"
+    },
+    "searchType": {
+      "thumbnail": "Sličica",
+      "description": "Opis"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Datum »pred« mora biti poznejši od datuma »po«.",
+        "afterDatebeEarlierBefore": "Datum »po« mora biti zgodnejši od datuma »pred«.",
+        "minScoreMustBeLessOrEqualMaxScore": "Polje 'Najmanj točk' mora biti manjše ali enako polju 'Največ točk'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Polje 'Največ točk' mora biti večje ali enako polju 'Najmanj točk'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Polje 'Najvišja hitrost' mora biti večje ali enako polju 'Najnižja hitrost'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Polje 'Najnižja hitrost' mora biti manjše ali enako 'Najvišji hitrosti'."
+      }
+    },
+    "tips": {
+      "title": "Kako uporabljati besedilne filtre",
+      "desc": {
+        "text": "Filtri vam pomagajo zožati rezultate iskanja. Tukaj je, kako jih uporabiti v vnosnem polju:",
+        "step1": "Vnesite ime ključa filtra, ki mu sledi dvopičje (npr. »kamere:«).",
+        "step2": "Izberite vrednost iz predlogov, ali vpišite svojo.",
+        "step3": "Uporabite več filtrov tako, da jih dodate enega za drugim s presledkom vmes.",
+        "step4": "Datumski filtri uporabljajo format: {{DateFormat}}.",
+        "step5": "Časovni filter uporablja format: {{exampleTime}}.",
+        "step6": "Filter izbrišete s klikom na 'x' poleg njih.",
+        "exampleLabel": "Primer:"
+      }
+    },
+    "header": {
+      "currentFilterType": "Filtriraj vrednosti",
+      "noFilters": "Filtri",
+      "activeFilters": "Aktivni filtri"
+    }
+  },
+  "trackedObjectId": "ID sledečega objekta",
+  "similaritySearch": {
+    "title": "Iskanje podobnosti",
+    "active": "Iskanje podobnosti je aktivno",
+    "clear": "Izbriši iskanje podobnosti"
+  },
+  "placeholder": {
+    "search": "Iskanje …"
+  }
+}
diff --git a/web/public/locales/sl/views/settings.json b/web/public/locales/sl/views/settings.json
new file mode 100644
index 000000000..af8f70748
--- /dev/null
+++ b/web/public/locales/sl/views/settings.json
@@ -0,0 +1,70 @@
+{
+  "documentTitle": {
+    "default": "Nastavitve - Frigate",
+    "authentication": "Nastavitve preverjanja pristnosti - Frigate",
+    "camera": "Nastavitve kamere - Frigate",
+    "notifications": "Nastavitve obvestil - Frigate",
+    "masksAndZones": "Urejevalnik mask in območij - Frigate",
+    "object": "Odpravljanje napak - Frigate",
+    "general": "Splošne Nastavitve - Frigate",
+    "frigatePlus": "Frigate+ Nastavitve - Frigate",
+    "enrichments": "Nastavitve Obogatitev - Frigate"
+  },
+  "menu": {
+    "ui": "Uporabniški vmesnik",
+    "enrichments": "Obogatitve",
+    "cameras": "Nastavitve Kamere",
+    "masksAndZones": "Maske / Cone",
+    "debug": "Razhroščevanje",
+    "users": "Uporabniki",
+    "notifications": "Obvestila",
+    "frigateplus": "Frigate+"
+  },
+  "masksAndZones": {
+    "zones": {
+      "point_one": "{{count}} točka",
+      "point_two": "{{count}} točki",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točk"
+    },
+    "objectMasks": {
+      "point_one": "{{count}} točka",
+      "point_two": "{{count}} točki",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točk"
+    },
+    "motionMasks": {
+      "point_one": "{{count}} točka",
+      "point_two": "{{count}} točki",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točk"
+    }
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Imate neshranjene spremembe.",
+      "desc": "Ali želite shraniti spremembe, preden nadaljujete?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Brez Kamere"
+  },
+  "general": {
+    "title": "Splošne Nastavitve",
+    "liveDashboard": {
+      "title": "Nadzorna plošča (v živo)",
+      "automaticLiveView": {
+        "label": "Samodejni pogled v živo",
+        "desc": "Samodejno preklopite na pogled kamere v živo, ko je zaznana aktivnost. Če onemogočite to možnost, se statične slike kamere na nadzorni plošči v živo posodobijo le enkrat na minuto."
+      },
+      "playAlertVideos": {
+        "label": "Predvajajte opozorilne videoposnetke"
+      }
+    },
+    "storedLayouts": {
+      "title": "Sharnjene Postavitve",
+      "desc": "Postaviteve kamer v skupini kamer je mogoče povleči/prilagoditi. Položaji so shranjeni v lokalnem pomnilniku vašega brskalnika."
+    }
+  }
+}
diff --git a/web/public/locales/sl/views/system.json b/web/public/locales/sl/views/system.json
new file mode 100644
index 000000000..4a19721c0
--- /dev/null
+++ b/web/public/locales/sl/views/system.json
@@ -0,0 +1,106 @@
+{
+  "documentTitle": {
+    "cameras": "Statistika kamer - Frigate",
+    "storage": "Statistika prostora - Frigate",
+    "general": "Statistika - Frigate",
+    "logs": {
+      "frigate": "Frigate dnevniki - Frigate",
+      "go2rtc": "Go2RTC dnevniki - Frigate",
+      "nginx": "Nginx dnevniki - Frigate"
+    }
+  },
+  "logs": {
+    "download": {
+      "label": "Prenesi dnevnike"
+    },
+    "copy": {
+      "label": "Kopiraj v odložišče",
+      "success": "Dnevniki kopirani v odložišče",
+      "error": "Dnevnika ni bilo mogoče kopirati v odložišče"
+    },
+    "type": {
+      "label": "Tip",
+      "timestamp": "Časovni žig",
+      "message": "Sporočilo",
+      "tag": "Oznaka"
+    }
+  },
+  "storage": {
+    "recordings": {
+      "title": "Posnetki",
+      "tips": "Ta vrednost predstavlja velikost podatkovne zbirke posnetkov Frigate. Frigate ne spremlja velikost drugih datotek na disku.",
+      "earliestRecording": "Najstarejši posnetki:"
+    },
+    "title": "Hramba",
+    "overview": "Pregled",
+    "cameraStorage": {
+      "title": "Hramba kamer",
+      "camera": "Kamera",
+      "unusedStorageInformation": "Informacija neporabljenega prostora",
+      "storageUsed": "Hramba",
+      "percentageOfTotalUsed": "Procent celote",
+      "bandwidth": "Pasovna širina",
+      "unused": {
+        "title": "Neporabljeno",
+        "tips": "Ta vrednost ne predstavlja dejanske proste kapacitete za Frigate posnetke, če na disku shranjujete še druge datoteke. Frigate ne spremlja velikost drugih datotek na disku."
+      }
+    }
+  },
+  "general": {
+    "hardwareInfo": {
+      "npuMemory": "Pomnilnik NPE",
+      "title": "Podatki strojne opreme",
+      "gpuUsage": "Poraba GPE",
+      "gpuMemory": "Pomnilnik GPE",
+      "gpuEncoder": "GPE kodirnik",
+      "gpuDecoder": "GPE dekoder",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo izpis",
+          "returnCode": "Povratna koda: {{code}}",
+          "processOutput": "Izpis procesa:",
+          "processError": "Napaka procesa:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI izpis",
+          "name": "Ime: {{name}}",
+          "driver": "Gonilnik: {{driver}}",
+          "cudaComputerCapability": "Zmožnost računanja CUDA: {{cuda_compute}}",
+          "vbios": "VBios info: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Zapri GPU info"
+        },
+        "copyInfo": {
+          "label": "Kopiraj GPU info"
+        },
+        "toast": {
+          "success": "GPU informacije kopirane v odložišče"
+        }
+      },
+      "npuUsage": "Poraba NPE"
+    },
+    "title": "Splošno",
+    "detector": {
+      "title": "Detektorji",
+      "inferenceSpeed": "Hitrost sklepanja detektorja",
+      "temperature": "Temperatura detektorja",
+      "cpuUsage": "Poraba CPE detektorja",
+      "memoryUsage": "Poraba pomnilnika detektorja"
+    },
+    "otherProcesses": {
+      "title": "Ostali procesi",
+      "processMemoryUsage": "Poraba pomnilnika",
+      "processCpuUsage": "Poraba CPE"
+    }
+  },
+  "title": "Sistem",
+  "metrics": "Sistemske meritve",
+  "cameras": {
+    "title": "Kamere",
+    "overview": "Pregled",
+    "info": {
+      "aspectRatio": "razmerje stranic"
+    }
+  }
+}
diff --git a/web/public/locales/sr/audio.json b/web/public/locales/sr/audio.json
new file mode 100644
index 000000000..a9e52ade6
--- /dev/null
+++ b/web/public/locales/sr/audio.json
@@ -0,0 +1,15 @@
+{
+  "speech": "Govor",
+  "scream": "Vrisak",
+  "babbling": "Brbljanje",
+  "bicycle": "Bicikla",
+  "yell": "Vikati",
+  "car": "Automobil",
+  "bellow": "Ispod",
+  "motorcycle": "Motor",
+  "whoop": "Opa",
+  "whispering": "Šaptanje",
+  "bus": "Autobus",
+  "laughter": "Smeh",
+  "train": "Voz"
+}
diff --git a/web/public/locales/sr/common.json b/web/public/locales/sr/common.json
new file mode 100644
index 000000000..a68b33248
--- /dev/null
+++ b/web/public/locales/sr/common.json
@@ -0,0 +1,31 @@
+{
+  "time": {
+    "untilForTime": "Do {{time}}",
+    "untilForRestart": "Dok se Frigate ponovo ne pokrene.",
+    "untilRestart": "Do ponovnog pokretanja",
+    "ago": "{{timeAgo}} pre",
+    "justNow": "Upravo sada",
+    "today": "Danas",
+    "yesterday": "Juče",
+    "last7": "Zadnjih 7 dana",
+    "last14": "Zadnjih 14 dana",
+    "last30": "Zadnjih 30 dana",
+    "thisWeek": "Ove nedelje",
+    "lastWeek": "Prošle nedelje",
+    "thisMonth": "Ovog meseca",
+    "lastMonth": "Prošlog meseca",
+    "5minutes": "5 minuta",
+    "10minutes": "10 minuta",
+    "30minutes": "30 minuta",
+    "1hour": "1 sat",
+    "12hours": "12 sati",
+    "24hours": "24 sata",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}god",
+    "year_one": "1,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21...",
+    "year_few": "2,3,4,22,23,24,32,33,34,42,...",
+    "year_other": "",
+    "mo": "{{time}}mes"
+  }
+}
diff --git a/web/public/locales/sr/components/auth.json b/web/public/locales/sr/components/auth.json
new file mode 100644
index 000000000..f601ec61a
--- /dev/null
+++ b/web/public/locales/sr/components/auth.json
@@ -0,0 +1,13 @@
+{
+  "form": {
+    "user": "Korisničko ime",
+    "password": "Lozinka",
+    "login": "Uloguj se",
+    "errors": {
+      "usernameRequired": "Korisničko ime je obavezno",
+      "passwordRequired": "Lozinka je obavezna",
+      "rateLimit": "Prekoračeno ograničenje brzine. Pokušajte ponovo kasnije.",
+      "loginFailed": "Prijava nije uspela"
+    }
+  }
+}
diff --git a/web/public/locales/sr/components/camera.json b/web/public/locales/sr/components/camera.json
new file mode 100644
index 000000000..6be8272ec
--- /dev/null
+++ b/web/public/locales/sr/components/camera.json
@@ -0,0 +1,17 @@
+{
+  "group": {
+    "label": "Grupa kamera",
+    "add": "Dodajte grupu kamera",
+    "edit": "Uredite grupu kamera",
+    "delete": {
+      "label": "Izbrišite grupu kamera",
+      "confirm": {
+        "title": "Potvrdi Brisanje",
+        "desc": "Da li ste sigurni da želite da obrišete grupu kamera <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Ime"
+    }
+  }
+}
diff --git a/web/public/locales/sr/components/dialog.json b/web/public/locales/sr/components/dialog.json
new file mode 100644
index 000000000..8c5a7c1c4
--- /dev/null
+++ b/web/public/locales/sr/components/dialog.json
@@ -0,0 +1,19 @@
+{
+  "restart": {
+    "title": "Da li želite da restartujete Frigate?",
+    "button": "Ponovo pokreni",
+    "restarting": {
+      "title": "Frigate se ponovo pokreće",
+      "content": "Ova stranica će se ponovo učitati za {{countdown}} sekundi.",
+      "button": "Prisilno ponovno učitavanje"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Pošalji na Frigate+",
+        "desc": "Objekti na lokacijama koje želite da izbegnete nisu lažno pozitivni. Slanje lažno pozitivnih rezultata će zbuniti model."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sr/components/filter.json b/web/public/locales/sr/components/filter.json
new file mode 100644
index 000000000..e00ac754d
--- /dev/null
+++ b/web/public/locales/sr/components/filter.json
@@ -0,0 +1,15 @@
+{
+  "filter": "Filter",
+  "labels": {
+    "label": "Labele",
+    "all": {
+      "title": "Sve oznake",
+      "short": "Oznake"
+    },
+    "count_one": "{{count}} Oznaka",
+    "count_other": "{{count}} Oznake"
+  },
+  "zones": {
+    "label": "Zone"
+  }
+}
diff --git a/web/public/locales/sr/components/icons.json b/web/public/locales/sr/components/icons.json
new file mode 100644
index 000000000..4bc59378c
--- /dev/null
+++ b/web/public/locales/sr/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Izaberite ikonu",
+    "search": {
+      "placeholder": "Potraži ikonu…"
+    }
+  }
+}
diff --git a/web/public/locales/sr/components/input.json b/web/public/locales/sr/components/input.json
new file mode 100644
index 000000000..b05c1f64e
--- /dev/null
+++ b/web/public/locales/sr/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Sačuvaj video",
+      "toast": {
+        "success": "Preuzimanje vašeg videa za recenziju je počelo."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sr/components/player.json b/web/public/locales/sr/components/player.json
new file mode 100644
index 000000000..e827547d8
--- /dev/null
+++ b/web/public/locales/sr/components/player.json
@@ -0,0 +1,13 @@
+{
+  "noRecordingsFoundForThisTime": "Nije pronađen nijedan snimak za ovo vreme",
+  "noPreviewFound": "Pregled nije pronađen",
+  "noPreviewFoundFor": "Nije pronađen pregled za {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Pošaljite ovaj frejm na Frigate+?",
+    "submit": "Pošalji"
+  },
+  "livePlayerRequiredIOSVersion": "Za ovaj tip prenosa uživo potreban je iOS 17.1 ili noviji.",
+  "streamOffline": {
+    "title": "Strim je oflajn"
+  }
+}
diff --git a/web/public/locales/sr/objects.json b/web/public/locales/sr/objects.json
new file mode 100644
index 000000000..75f353ded
--- /dev/null
+++ b/web/public/locales/sr/objects.json
@@ -0,0 +1,9 @@
+{
+  "person": "Osoba",
+  "bicycle": "Bicikla",
+  "car": "Automobil",
+  "motorcycle": "Motor",
+  "airplane": "Avion",
+  "bus": "Autobus",
+  "train": "Voz"
+}
diff --git a/web/public/locales/sr/views/configEditor.json b/web/public/locales/sr/views/configEditor.json
new file mode 100644
index 000000000..a94a6e5bd
--- /dev/null
+++ b/web/public/locales/sr/views/configEditor.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "Editor Konfiguracije - Frigate",
+  "configEditor": "Editor konfiguracije",
+  "copyConfig": "Kopiraj konfiguraciju",
+  "saveAndRestart": "Sačuvaj & Ponovo pokreni",
+  "saveOnly": "Samo sačuvaj",
+  "confirm": "Izađi bez čuvanja?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguracija je kopirana u clipboard."
+    }
+  }
+}
diff --git a/web/public/locales/sr/views/events.json b/web/public/locales/sr/views/events.json
new file mode 100644
index 000000000..8a1b76e45
--- /dev/null
+++ b/web/public/locales/sr/views/events.json
@@ -0,0 +1,13 @@
+{
+  "alerts": "Upozorenja",
+  "detections": "Detekcije",
+  "motion": {
+    "label": "Pokret",
+    "only": "Samo pokret"
+  },
+  "allCameras": "Sve Kamere",
+  "empty": {
+    "alert": "Nema upozorenja za pregled",
+    "detection": "Nema detekcija za pregled"
+  }
+}
diff --git a/web/public/locales/sr/views/explore.json b/web/public/locales/sr/views/explore.json
new file mode 100644
index 000000000..66e8fbffe
--- /dev/null
+++ b/web/public/locales/sr/views/explore.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "Istraži - Frigate",
+  "generativeAI": "Generativni AI",
+  "exploreMore": "Istražite više {{label}} objekata",
+  "exploreIsUnavailable": {
+    "title": "Istraživanje je nedostupno",
+    "embeddingsReindexing": {
+      "context": "Istraživanje se može koristiti nakon što se završi reindeksiranje ugrađivanja praćenih objekata.",
+      "startingUp": "Pokretanje…",
+      "estimatedTime": "Procenjeno preostalo vreme:"
+    }
+  }
+}
diff --git a/web/public/locales/sr/views/exports.json b/web/public/locales/sr/views/exports.json
new file mode 100644
index 000000000..a12e06163
--- /dev/null
+++ b/web/public/locales/sr/views/exports.json
@@ -0,0 +1,11 @@
+{
+  "documentTitle": "Izvoz - Frigate",
+  "search": "Pretraga",
+  "noExports": "Nije pronađen nijedan izvoz",
+  "deleteExport": "Izbriši izvoz",
+  "deleteExport.desc": "Da li zaista želite obrisati {{exportName}}?",
+  "editExport": {
+    "title": "Preimenuj izvoz",
+    "desc": "Unesite novo ime za ovaj izvoz."
+  }
+}
diff --git a/web/public/locales/sr/views/faceLibrary.json b/web/public/locales/sr/views/faceLibrary.json
new file mode 100644
index 000000000..766a52aa9
--- /dev/null
+++ b/web/public/locales/sr/views/faceLibrary.json
@@ -0,0 +1,12 @@
+{
+  "description": {
+    "addFace": "Prođite kroz dodavanje nove kolekcije u biblioteku lica.",
+    "placeholder": "Unesite ime za ovu kolekciju",
+    "invalidName": "Nevažeće ime. Imena mogu da sadrže samo slova, brojeve, razmake, apostrofe, donje crte i crtice."
+  },
+  "details": {
+    "person": "Osoba",
+    "subLabelScore": "Sub Label Skor",
+    "scoreInfo": "Rezultat podoznake je otežan rezultat za sve prepoznate pouzdanosti lica, tako da se može razlikovati od rezultata prikazanog na snimku."
+  }
+}
diff --git a/web/public/locales/sr/views/live.json b/web/public/locales/sr/views/live.json
new file mode 100644
index 000000000..fe19046a3
--- /dev/null
+++ b/web/public/locales/sr/views/live.json
@@ -0,0 +1,12 @@
+{
+  "documentTitle": "Uživo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Uživo - Frigate",
+  "lowBandwidthMode": "Režim niskog propusnog opsega",
+  "twoWayTalk": {
+    "enable": "Omogući dvosmerni razgovor",
+    "disable": "Onemogućite dvosmerni razgovor"
+  },
+  "cameraAudio": {
+    "enable": "Omogući zvuk kamere"
+  }
+}
diff --git a/web/public/locales/sr/views/recording.json b/web/public/locales/sr/views/recording.json
new file mode 100644
index 000000000..2a12e9b97
--- /dev/null
+++ b/web/public/locales/sr/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filter",
+  "export": "Izvezi",
+  "calendar": "Kalendar",
+  "filters": "Filteri",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Nije izabran važeći vremenski opseg",
+      "endTimeMustAfterStartTime": "Vreme završetka mora biti posle vremena početka"
+    }
+  }
+}
diff --git a/web/public/locales/sr/views/search.json b/web/public/locales/sr/views/search.json
new file mode 100644
index 000000000..3ab007f60
--- /dev/null
+++ b/web/public/locales/sr/views/search.json
@@ -0,0 +1,10 @@
+{
+  "search": "Pretraga",
+  "savedSearches": "Sačuvane pretrage",
+  "searchFor": "Pretraži {{inputValue}}",
+  "button": {
+    "clear": "Obriši pretragu",
+    "save": "Sačuvaj pretragu",
+    "delete": "Izbrišite sačuvanu pretragu"
+  }
+}
diff --git a/web/public/locales/sr/views/settings.json b/web/public/locales/sr/views/settings.json
new file mode 100644
index 000000000..07a4ea59d
--- /dev/null
+++ b/web/public/locales/sr/views/settings.json
@@ -0,0 +1,10 @@
+{
+  "documentTitle": {
+    "default": "Podešavanja - Frigate",
+    "authentication": "Podešavanja autentifikacije - Fregate",
+    "camera": "Podešavanje kamera - Frigate",
+    "enrichments": "Podešavanja obogaćivanja - Frigate",
+    "masksAndZones": "Uređivač maski i zona - Frigate",
+    "motionTuner": "Tjuner pokreta - Frigate"
+  }
+}
diff --git a/web/public/locales/sr/views/system.json b/web/public/locales/sr/views/system.json
new file mode 100644
index 000000000..07f260401
--- /dev/null
+++ b/web/public/locales/sr/views/system.json
@@ -0,0 +1,12 @@
+{
+  "documentTitle": {
+    "cameras": "Statusi kamera - Frigate",
+    "storage": "Statistika skladištenja - Frigate",
+    "general": "Opšta statistika - Frigate",
+    "enrichments": "Statistika obogaćivanja - Frigate",
+    "logs": {
+      "frigate": "Frigate logovi - Frigate",
+      "go2rtc": "Go2RTC dnevnici - Frigate"
+    }
+  }
+}
diff --git a/web/public/locales/sv/audio.json b/web/public/locales/sv/audio.json
new file mode 100644
index 000000000..2e685096c
--- /dev/null
+++ b/web/public/locales/sv/audio.json
@@ -0,0 +1,162 @@
+{
+  "yell": "Skrik",
+  "bicycle": "Cykel",
+  "speech": "Tal",
+  "car": "Bil",
+  "bellow": "Under",
+  "motorcycle": "Motorcykel",
+  "whispering": "Viskning",
+  "bus": "Buss",
+  "babbling": "Babblande",
+  "whoop": "Skrika",
+  "camera": "Kamera",
+  "laughter": "Skratt",
+  "snicker": "Fnittra",
+  "crying": "Gråt",
+  "choir": "Kör",
+  "singing": "Sjunger",
+  "yodeling": "Joddling",
+  "chant": "Sång",
+  "mantra": "Mantra",
+  "synthetic_singing": "Syntetisk sång",
+  "rapping": "Rappar",
+  "groan": "Stöna",
+  "grunt": "Grymta",
+  "whistling": "Visslar",
+  "breathing": "Andas",
+  "snoring": "Snarkning",
+  "gasp": "Flämtning",
+  "pant": "Flämta",
+  "cough": "Hosta",
+  "throat_clearing": "Halsrensning",
+  "sneeze": "Nysa",
+  "run": "Spring",
+  "shuffle": "Blanda",
+  "footsteps": "Fotsteg",
+  "chewing": "Tugga",
+  "biting": "Biter",
+  "gargling": "Gurgling",
+  "stomach_rumble": "Magljud",
+  "burping": "Rapning",
+  "hiccup": "Hicka",
+  "fart": "Fis",
+  "hands": "Händer",
+  "finger_snapping": "Knäppning med fingrar",
+  "clapping": "Klappar",
+  "heartbeat": "Hjärtslag",
+  "heart_murmur": "Blåsljud i hjärtat",
+  "cheering": "Glädjande",
+  "applause": "Applåder",
+  "chatter": "Prat",
+  "crowd": "Folkmassa",
+  "animal": "Djur",
+  "yip": "Japp",
+  "howl": "Tjut",
+  "bow_wow": "Bow Wow",
+  "growling": "Morrande",
+  "whimper_dog": "Hund gnäll",
+  "cat": "Katt",
+  "meow": "Mjau",
+  "hiss": "Väsa",
+  "caterwaul": "Kattgräl",
+  "livestock": "Boskap",
+  "horse": "Häst",
+  "clip_clop": "Klipp Clop",
+  "neigh": "Gnägga",
+  "cattle": "Boskap",
+  "oink": "Oink",
+  "goat": "Get",
+  "bleat": "Bräka",
+  "fowl": "Fjäderfä",
+  "cluck": "Kluck",
+  "cock_a_doodle_doo": "kukilikuk",
+  "turkey": "kalkon",
+  "gobble": "Gobble",
+  "duck": "Anka",
+  "quack": "Quack",
+  "goose": "Gås",
+  "honk": "Tuta",
+  "wild_animals": "Vilda djur",
+  "roaring_cats": "Rytande katter",
+  "roar": "Rytande",
+  "bird": "Fågel",
+  "chirp": "Kvittra",
+  "squawk": "Skriande",
+  "pigeon": "Duva",
+  "caw": "Kraxa",
+  "owl": "Uggla",
+  "hoot": "Tuta",
+  "dogs": "Hundar",
+  "rats": "Råttor",
+  "mouse": "Älg",
+  "music": "Musik",
+  "sigh": "Suck",
+  "child_singing": "Barnsång",
+  "sheep": "Får",
+  "wheeze": "Väsande",
+  "dog": "Hund",
+  "sniff": "Sniffa",
+  "humming": "Hummar",
+  "pets": "Husdjur",
+  "coo": "Kuttra",
+  "snort": "Fnysa",
+  "children_playing": "Barn som leker",
+  "bark": "Skall",
+  "purr": "Spinna",
+  "moo": "Muu",
+  "cowbell": "Koskälla",
+  "pig": "Gris",
+  "chicken": "Kyckling",
+  "crow": "Kråka",
+  "frog": "Groda",
+  "patter": "Droppar",
+  "insect": "Insekt",
+  "cricket": "Syrsa",
+  "fly": "Fluga",
+  "buzz": "Surr",
+  "croak": "Kvack",
+  "rattle": "Skallra",
+  "musical_instrument": "Musikinstrument",
+  "plucked_string_instrument": "Stränginstrument",
+  "guitar": "Gitarr",
+  "electric_guitar": "Elektrisk Gitarr",
+  "bass_guitar": "Basgitarr",
+  "steel_guitar": "Stålgitarr",
+  "tapping": "Knackning",
+  "snake": "Orm",
+  "acoustic_guitar": "Aukustisk gitarr",
+  "mosquito": "Mygga",
+  "flapping_wings": "Vingslag",
+  "whale_vocalization": "Val-ljud",
+  "bass_drum": "Bastrumma",
+  "timpani": "Pukor",
+  "tabla": "Tabla",
+  "hi_hat": "Hi-Hat",
+  "wood_block": "Träblock",
+  "tambourine": "Tamburin",
+  "maraca": "Maracas",
+  "drum_roll": "Trumvirvel",
+  "rimshot": "Kantslag",
+  "snare_drum": "Virveltrumma",
+  "cymbal": "Cymbal",
+  "mandolin": "Mandolin",
+  "boat": "Båt",
+  "train": "Tåg",
+  "bowed_string_instrument": "stråkinstrument",
+  "banjo": "Banjo",
+  "sitar": "Sitar",
+  "clock": "Klocka",
+  "keyboard": "Tangentbord",
+  "vehicle": "Fordon",
+  "skateboard": "Skatebord",
+  "door": "Dörr",
+  "blender": "Mixer",
+  "sink": "Vask",
+  "hair_dryer": "Hårfön",
+  "toothbrush": "Tandborste",
+  "scissors": "Sax",
+  "strum": "Anslag",
+  "zither": "Citer",
+  "ukulele": "Ukulele",
+  "piano": "Piano"
+}
diff --git a/web/public/locales/sv/common.json b/web/public/locales/sv/common.json
new file mode 100644
index 000000000..a220db585
--- /dev/null
+++ b/web/public/locales/sv/common.json
@@ -0,0 +1,257 @@
+{
+  "time": {
+    "untilForTime": "Till {{time}}",
+    "untilForRestart": "Tills Frigate startar om.",
+    "untilRestart": "Tills omstart",
+    "ago": "{{timeAgo}} sedan",
+    "justNow": "Just nu",
+    "today": "Idag",
+    "yesterday": "Igår",
+    "last14": "Senaste 14 dagarna",
+    "thisMonth": "Denna månad",
+    "lastMonth": "Förra månaden",
+    "30minutes": "30 minuter",
+    "1hour": "1 timma",
+    "12hours": "12 timmar",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}år",
+    "mo": "{{time}} mån",
+    "month_one": "{{time}} månad",
+    "month_other": "{{time}} månader",
+    "d": "{{time}}dag",
+    "last7": "Senaste 7 dagarna",
+    "5minutes": "5 minuter",
+    "last30": "Senaste 30 dagarna",
+    "thisWeek": "Denna vecka",
+    "lastWeek": "Förra veckan",
+    "10minutes": "10 minuter",
+    "24hours": "24 timmar",
+    "year_one": "{{time}} år",
+    "year_other": "{{time}} år",
+    "second_one": "{{time}} sekund",
+    "second_other": "{{time}} sekunder",
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyy"
+    },
+    "h": "{{time}} h",
+    "hour_one": "{{time}} timme",
+    "hour_other": "{{time}} timmar",
+    "m": "{{time}} m",
+    "minute_one": "{{time}} minut",
+    "minute_other": "{{time}} minuter",
+    "s": "{{time}} s",
+    "formattedTimestamp": {
+      "12hour": "d MMM, kl. h:mm:ss a",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "kl. h:mm a",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "day_one": "{{time}} dag",
+    "day_other": "{{time}} dagar"
+  },
+  "button": {
+    "save": "Spara",
+    "enabled": "Aktiverad",
+    "enable": "Aktivera",
+    "disabled": "Inaktiverad",
+    "pictureInPicture": "Bild-i-Bild",
+    "twoWayTalk": "Tvåvägskommunikation",
+    "edit": "Redigera",
+    "copyCoordinates": "Kopiera koordinater",
+    "suspended": "Pausad",
+    "play": "Spela",
+    "unselect": "Avmarkera",
+    "unsuspended": "Återuppta",
+    "deleteNow": "Radera nu",
+    "next": "Nästa",
+    "apply": "Verkställ",
+    "reset": "Återställ",
+    "done": "Klar",
+    "disable": "Inaktivera",
+    "saving": "Sparar…",
+    "cancel": "Avbryt",
+    "close": "Stäng",
+    "copy": "Kopiera",
+    "back": "Tillbaka",
+    "history": "Historia",
+    "fullscreen": "Fullskärm",
+    "exitFullscreen": "Lämna Fullskärm",
+    "cameraAudio": "Kameraljud",
+    "on": "PÅ",
+    "off": "AV",
+    "delete": "Släng",
+    "yes": "Ja",
+    "no": "Nej",
+    "download": "Ladda ner",
+    "info": "Info",
+    "export": "Exportera"
+  },
+  "menu": {
+    "language": {
+      "yue": "Kantonesiska",
+      "it": "Italienska",
+      "fr": "Franska",
+      "nl": "Nederländska (Dutch)",
+      "hi": "Hindi",
+      "pt": "Portugisiska",
+      "ru": "Ryska",
+      "pl": "Polska",
+      "el": "Grekiska",
+      "sk": "Slovenska",
+      "tr": "Turkiska",
+      "uk": "Ukrainska",
+      "he": "Hebreiska",
+      "ro": "Romänska",
+      "hu": "Ungerska",
+      "fi": "Finska",
+      "da": "Danska",
+      "ar": "Arabiska",
+      "es": "Spanska",
+      "zhCN": "Kinesiska",
+      "de": "Tyska",
+      "ja": "Japanska",
+      "sv": "Svenska (Swedish)",
+      "cs": "Tjeckiska (Czech)",
+      "nb": "Norsk Bokmål (Norsk Bokmål)",
+      "ko": "Koreanska",
+      "vi": "Vietnamesiska",
+      "fa": "Persiska",
+      "th": "Thailändska",
+      "withSystem": {
+        "label": "Använd systeminställningarna för språk"
+      },
+      "en": "Engelska"
+    },
+    "darkMode": {
+      "withSystem": {
+        "label": "Använd systeminställningarna för ljust eller mörkt läge"
+      },
+      "label": "Mörk Läge",
+      "light": "Ljus",
+      "dark": "Mörk"
+    },
+    "theme": {
+      "label": "Tema",
+      "blue": "Blå",
+      "green": "Grön",
+      "nord": "North",
+      "default": "Standard",
+      "highcontrast": "Hög Kontrast",
+      "red": "Röd"
+    },
+    "export": "Exportera",
+    "faceLibrary": "Ansiktsbibliotek",
+    "user": {
+      "title": "Användare",
+      "account": "Konto",
+      "current": "Nuvarande Användare: {{user}}",
+      "anonymous": "anonym",
+      "logout": "Logga ut",
+      "setPassword": "Sätt Lösenord"
+    },
+    "systemMetrics": "Systemstatus",
+    "configuration": "Konfiguration",
+    "explore": "Utforska",
+    "live": {
+      "cameras": {
+        "count_one": "{{count}} Kamera",
+        "count_other": "{{count}} Kameror",
+        "title": "Kameror"
+      },
+      "allCameras": "Alla kameror",
+      "title": "Live"
+    },
+    "system": "System",
+    "systemLogs": "Systemlogg",
+    "settings": "Inställningar",
+    "help": "Hjälp",
+    "documentation": {
+      "title": "Dokumentation",
+      "label": "Frigate dokumentation"
+    },
+    "uiPlayground": "UI Testmiljö",
+    "restart": "Starta om Frigate",
+    "review": "Granska",
+    "languages": "Språk",
+    "configurationEditor": "Konfigurationsredigerare",
+    "withSystem": "System",
+    "appearance": "Utseende"
+  },
+  "pagination": {
+    "next": {
+      "title": "Nästa",
+      "label": "Gå till nästa sida"
+    },
+    "previous": {
+      "title": "Föregående",
+      "label": "Gå till föregående sida"
+    },
+    "more": "Flera sidor",
+    "label": "paginering"
+  },
+  "accessDenied": {
+    "title": "Åtkomst Förbjuden",
+    "desc": "Du har inte rättigheter att visa den här sidan.",
+    "documentTitle": "Åtkomst Förbjuden - Frigate"
+  },
+  "role": {
+    "admin": "Admin",
+    "viewer": "Tittare",
+    "desc": "Administratörer har fullständig åtkomst till alla funktioner i Frigates gränssnitt. Tittare kan endast visa kameror, granska objekt och se historiskt videomaterial.",
+    "title": "Roll"
+  },
+  "notFound": {
+    "documentTitle": "Hittades Inte - Frigate",
+    "desc": "Sidan hittades inte",
+    "title": "404"
+  },
+  "toast": {
+    "save": {
+      "title": "Spara",
+      "error": {
+        "title": "Misslyckades med att spara konfigurationsändringar: {{errorMessage}}",
+        "noMessage": "Misslyckades med att spara konfigurationsändringar"
+      }
+    },
+    "copyUrlToClipboard": "Webbadressen har kopierats till urklipp."
+  },
+  "label": {
+    "back": "Gå tillbaka"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "fot",
+      "meters": "meter"
+    }
+  },
+  "selectItem": "Välj {{item}}"
+}
diff --git a/web/public/locales/sv/components/auth.json b/web/public/locales/sv/components/auth.json
new file mode 100644
index 000000000..8581ffe94
--- /dev/null
+++ b/web/public/locales/sv/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "Lösenord",
+    "user": "Användarnamn",
+    "login": "Logga in",
+    "errors": {
+      "usernameRequired": "Användarnamn är obligatoriskt",
+      "passwordRequired": "Lösenord är obligatoriskt",
+      "loginFailed": "Inloggning misslyckades",
+      "unknownError": "Okänt fel. Kontrollera loggarna.",
+      "webUnknownError": "Okänt fel. Kontrollera konsol loggarna.",
+      "rateLimit": "Överskriden anropsgräns. Försök igen senare."
+    }
+  }
+}
diff --git a/web/public/locales/sv/components/camera.json b/web/public/locales/sv/components/camera.json
new file mode 100644
index 000000000..f4a3448db
--- /dev/null
+++ b/web/public/locales/sv/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kameragrupper",
+    "add": "Lägg till Kameragrupp",
+    "edit": "Ändra Kameragrupp",
+    "delete": {
+      "label": "Radera kameragrupp",
+      "confirm": {
+        "title": "Bekräfta borttagning",
+        "desc": "Är du säker på att du vill ta bort kameragruppen <em>{{name}}</em>?"
+      }
+    },
+    "success": "Kameragruppen ({{name}}) har sparats.",
+    "name": {
+      "label": "Namn",
+      "placeholder": "Ange ett namn…",
+      "errorMessage": {
+        "mustLeastCharacters": "Gruppnamnet för kameror måste vara minst 2 tecken.",
+        "nameMustNotPeriod": "Kameragruppnamnet får inte innehålla en punkt.",
+        "invalid": "Ogiltligt kameragruppnamn.",
+        "exists": "Kameragruppnamnet finns redan."
+      }
+    },
+    "icon": "Ikon",
+    "camera": {
+      "setting": {
+        "label": "inställningar för kameraströmning",
+        "title": "{{cameraName}} Streaminginställningar",
+        "desc": "Ändra alternativen för livestreaming för den här kameragruppens instrumentpanel. <em>Dessa inställningar är enhets-/webbläsarspecifika.</em>",
+        "audioIsAvailable": "Ljud är tillgängligt för denna kameraström",
+        "audioIsUnavailable": "Ljud är otillgängligt för denna kameraström",
+        "audio": {
+          "tips": {
+            "title": "Ljud måste sändas från din kamera och konfigureras i go2rtc för den här strömmen.",
+            "document": "Läs dokumentationen. "
+          }
+        },
+        "streamMethod": {
+          "label": "Strömningsmetod",
+          "method": {
+            "smartStreaming": {
+              "desc": "Smart streaming uppdaterar kamerabilden en gång per minut när ingen detekterbar aktivitet sker för att spara bandbredd och resurser. När aktivitet detekteras växlar bilden sömlöst till en livestream.",
+              "label": "Smart strömning (rekommenderas)"
+            },
+            "continuousStreaming": {
+              "label": "Kontinuerlig strömning",
+              "desc": {
+                "title": "Kamerabilden kommer alltid att vara en liveström när den är synlig på instrumentpanelen, även om ingen aktivitet detekteras.",
+                "warning": "Kontinuerlig strömning kan orsaka hög bandbreddsanvändning och prestandaproblem. Använd med försiktighet."
+              }
+            },
+            "noStreaming": {
+              "label": "Ingen strömning",
+              "desc": "Kamerabilderna uppdateras bara en gång per minut och ingen livestreaming kommer att ske."
+            }
+          },
+          "placeholder": "Välj en strömningsmetod"
+        },
+        "stream": "Strömma",
+        "placeholder": "Välj en ström",
+        "compatibilityMode": {
+          "label": "Kompatibilitetsläge",
+          "desc": "Aktivera endast det här alternativet om kamerans livestream visar färgartefakter och har en diagonal linje på höger sida av bilden."
+        }
+      }
+    },
+    "cameras": {
+      "desc": "Välj kameror för denna guppen.",
+      "label": "Kameror"
+    }
+  },
+  "debug": {
+    "options": {
+      "showOptions": "Visa alternativ",
+      "label": "Inställningar",
+      "title": "Alternativ",
+      "hideOptions": "Dölj alternativ"
+    },
+    "boundingBox": "Avgränsningsruta",
+    "timestamp": "Tidsstämpel",
+    "zones": "Zoner",
+    "mask": "Maskera",
+    "motion": "Rörelse",
+    "regions": "Regioner"
+  }
+}
diff --git a/web/public/locales/sv/components/dialog.json b/web/public/locales/sv/components/dialog.json
new file mode 100644
index 000000000..42af6ea41
--- /dev/null
+++ b/web/public/locales/sv/components/dialog.json
@@ -0,0 +1,48 @@
+{
+  "restart": {
+    "button": "Starta om",
+    "restarting": {
+      "title": "Frigate startar om",
+      "content": "Sidan uppdateras om {{countdown}} seconds.",
+      "button": "Tvinga uppdatering nu"
+    },
+    "title": "Är du säker på att du vill starta om Frigate?"
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Skicka till Frigate+"
+      },
+      "review": {
+        "question": {
+          "ask_a": "Är detta objektet <code>{{label}}</code>?",
+          "ask_an": "Är detta objektet en <code>{{label}}</code>?",
+          "ask_full": "Är detta objektet <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Se i Historik"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Välj från tidslinjen",
+      "lastHour_one": "Sista timma",
+      "lastHour_other": "Sista t {{count}} Timmarna",
+      "start": {
+        "title": "Start Tid",
+        "label": "Välj Start Tid"
+      },
+      "end": {
+        "title": "Slut Tid",
+        "label": "Välj Sluttid"
+      }
+    },
+    "name": {
+      "placeholder": "Ge exporten ett namn"
+    },
+    "select": "Välj",
+    "export": "Eksport"
+  }
+}
diff --git a/web/public/locales/sv/components/filter.json b/web/public/locales/sv/components/filter.json
new file mode 100644
index 000000000..c29110cc7
--- /dev/null
+++ b/web/public/locales/sv/components/filter.json
@@ -0,0 +1,85 @@
+{
+  "labels": {
+    "all": {
+      "title": "Alla Etiketter",
+      "short": "Etiketter"
+    },
+    "label": "Etiketter",
+    "count": "{{count}} Etiketter",
+    "count_one": "{{count}} Etikett",
+    "count_other": "{{count}} Etiketter"
+  },
+  "filter": "Filter",
+  "zones": {
+    "label": "Zoner",
+    "all": {
+      "title": "Alla zoner",
+      "short": "Soner"
+    }
+  },
+  "features": {
+    "hasSnapshot": "Har ögonblicksbild",
+    "hasVideoClip": "Har ett video klipp"
+  },
+  "sort": {
+    "dateAsc": "Datum (Stigande)",
+    "label": "Sortera",
+    "scoreAsc": "Objektpoäng (Stigande)",
+    "speedDesc": "Uppskattad Hastighet (Fallande)",
+    "relevance": "Relevans",
+    "dateDesc": "Datum (Fallande)",
+    "scoreDesc": "Objektpoäng (Fallande)",
+    "speedAsc": "Uppskattad Hastighet (Stigande)"
+  },
+  "cameras": {
+    "all": {
+      "short": "Kameror",
+      "title": "Alla Kameror"
+    },
+    "label": "Kamerafilter"
+  },
+  "explore": {
+    "settings": {
+      "title": "Inställningar",
+      "defaultView": {
+        "title": "Standard Vy"
+      },
+      "searchSource": {
+        "options": {
+          "description": "Beskrivning"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Välj datum att filtrera efter"
+      }
+    }
+  },
+  "review": {
+    "showReviewed": "Visa Kontrollerade"
+  },
+  "motion": {
+    "showMotionOnly": "Visa Endast Rörelse"
+  },
+  "score": "Poäng",
+  "dates": {
+    "all": {
+      "short": "Datum",
+      "title": "Alla datum"
+    }
+  },
+  "recognizedLicensePlates": {
+    "noLicensePlatesFound": "Inga registreringsplåtar hittade.",
+    "selectPlatesFromList": "Välj en eller flera registreringsplåtar från listan."
+  },
+  "more": "Flera filter",
+  "reset": {
+    "label": "Nollställ filter"
+  },
+  "subLabels": {
+    "label": "Under kategori",
+    "all": "Alla under kategorier"
+  },
+  "estimatedSpeed": "Estimerad hastighet ({{unit}})"
+}
diff --git a/web/public/locales/sv/components/icons.json b/web/public/locales/sv/components/icons.json
new file mode 100644
index 000000000..e15428582
--- /dev/null
+++ b/web/public/locales/sv/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "Sök efter ikon…"
+    },
+    "selectIcon": "Välj en ikon"
+  }
+}
diff --git a/web/public/locales/sv/components/input.json b/web/public/locales/sv/components/input.json
new file mode 100644
index 000000000..b3081bd54
--- /dev/null
+++ b/web/public/locales/sv/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Ladda ner Video",
+      "toast": {
+        "success": "Din video laddas ner."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/sv/components/player.json b/web/public/locales/sv/components/player.json
new file mode 100644
index 000000000..b41c5dd65
--- /dev/null
+++ b/web/public/locales/sv/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noPreviewFound": "Ingen Förhandsvisning Hittad",
+  "noRecordingsFoundForThisTime": "Inga inspelningar hittade för denna tid",
+  "noPreviewFoundFor": "Ingen förhandsvisning hittad för {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Skicka denna bild till Frigate+?",
+    "submit": "Skicka"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 eller senare krävs för den här typen av livestream.",
+  "streamOffline": {
+    "title": "Ström ej tillgänglig",
+    "desc": "Inga bildrutor har tagits emot från {{cameraName}}-strömmen <code>detect</code>, kontrollera felloggarna"
+  },
+  "stats": {
+    "streamType": {
+      "short": "Typ",
+      "title": "Strömtyp:"
+    },
+    "bandwidth": {
+      "title": "Bandbredd:",
+      "short": "Bandbredd"
+    },
+    "latency": {
+      "title": "Latens:",
+      "short": {
+        "title": "Latens",
+        "value": "{{seconds}} sek"
+      },
+      "value": "{{seconds}} sekunder"
+    },
+    "totalFrames": "Totala Bildrutor:",
+    "droppedFrames": {
+      "title": "Bortfallna bildrutor:",
+      "short": {
+        "title": "Bortfallen",
+        "value": "{{droppedFrames}} Bildrutor"
+      }
+    },
+    "decodedFrames": "Avkodade bildrutor:",
+    "droppedFrameRate": "Frekvens för bortfallna bildrutor:"
+  },
+  "cameraDisabled": "Kameran är disablead",
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "Bildruta har skickats till Frigate+ med misslyckat resultat"
+    },
+    "success": {
+      "submittedFrigatePlus": "Bildruta har skickats till Frigate+ med lyckat resultat"
+    }
+  }
+}
diff --git a/web/public/locales/sv/objects.json b/web/public/locales/sv/objects.json
new file mode 100644
index 000000000..4b4da2cf9
--- /dev/null
+++ b/web/public/locales/sv/objects.json
@@ -0,0 +1,120 @@
+{
+  "car": "Bil",
+  "person": "Person",
+  "bicycle": "Cykel",
+  "motorcycle": "Motorcykel",
+  "airplane": "Flygplan",
+  "bus": "Buss",
+  "horse": "Häst",
+  "sheep": "Får",
+  "mouse": "Älg",
+  "bark": "Skall",
+  "goat": "Get",
+  "animal": "Djur",
+  "dog": "Hund",
+  "cat": "Katt",
+  "bird": "Fågel",
+  "train": "Tåg",
+  "traffic_light": "Trafiklyse",
+  "stop_sign": "Stoppskylt",
+  "cow": "Ko",
+  "elephant": "Elefant",
+  "bear": "Björn",
+  "hat": "Hatt",
+  "boat": "Båt",
+  "street_sign": "Gatuskylt",
+  "shoe": "Sko",
+  "giraffe": "Giraff",
+  "fire_hydrant": "Brandpost",
+  "zebra": "Zebra",
+  "backpack": "Ryggsäck",
+  "umbrella": "Paraply",
+  "bench": "Bänk",
+  "wine_glass": "vinglas",
+  "bottle": "Flaska",
+  "spoon": "Sked",
+  "orange": "Apelsin",
+  "carrot": "Morot",
+  "hot_dog": "Varmkorv",
+  "broccoli": "Broccoli",
+  "fork": "Gaffel",
+  "banana": "Banan",
+  "apple": "Äpple",
+  "knife": "Kniv",
+  "bowl": "Skål",
+  "cup": "Kopp",
+  "sandwich": "Smörgås",
+  "toaster": "Brödrost",
+  "vehicle": "Fordon",
+  "postnord": "PostNord",
+  "refrigerator": "Kylskåp",
+  "hair_dryer": "Hårfön",
+  "hair_brush": "Hårborste",
+  "amazon": "Amazon",
+  "clock": "Klocka",
+  "parking_meter": "Parkeringsmätare",
+  "eye_glasses": "Glasögon",
+  "handbag": "Handväska",
+  "tie": "Slips",
+  "suitcase": "Resväska",
+  "frisbee": "Frisbee",
+  "skis": "Skidor",
+  "snowboard": "Snowboard",
+  "sports_ball": "Boll",
+  "kite": "Drake",
+  "baseball_bat": "Basebollträ",
+  "baseball_glove": "Baseballhandske",
+  "skateboard": "Skatebord",
+  "surfboard": "Surfbräda",
+  "tennis_racket": "Tennisrack",
+  "pizza": "Pizza",
+  "donut": "Munk",
+  "cake": "Tårta",
+  "chair": "Stol",
+  "window": "Fönster",
+  "couch": "Soffa",
+  "potted_plant": "Krukväxt",
+  "bed": "Säng",
+  "mirror": "Spegel",
+  "dining_table": "Vardagsrumsbord",
+  "desk": "Skrivbord",
+  "toilet": "Toalett",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "remote": "Fjärrkontroll",
+  "keyboard": "Tangentbord",
+  "cell_phone": "Mobiltelefon",
+  "microwave": "Mikrovågsugn",
+  "sink": "Vask",
+  "vase": "Vas",
+  "scissors": "Sax",
+  "squirrel": "Ekorre",
+  "deer": "Hjort",
+  "fox": "Räv",
+  "rabbit": "Kanin",
+  "raccoon": "Tvättbjörn",
+  "robot_lawnmower": "Robotgräsklippare",
+  "on_demand": "På begäran",
+  "face": "Ansikte",
+  "package": "Paket",
+  "bbq_grill": "Grill",
+  "usps": "USPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "plate": "Tallrik",
+  "door": "Dörr",
+  "oven": "Ugn",
+  "blender": "Mixer",
+  "book": "Bok",
+  "waste_bin": "Papperskorg",
+  "license_plate": "Nummerplåt",
+  "toothbrush": "Tandborste",
+  "ups": "UPS",
+  "teddy_bear": "Nallebjörn"
+}
diff --git a/web/public/locales/sv/views/configEditor.json b/web/public/locales/sv/views/configEditor.json
new file mode 100644
index 000000000..27409c968
--- /dev/null
+++ b/web/public/locales/sv/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "copyConfig": "Kopiera konfiguration",
+  "saveAndRestart": "Spara & Starta om",
+  "saveOnly": "Spara",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfiguration kopierad till urklipp."
+    },
+    "error": {
+      "savingError": "Problem att spara konfiguration"
+    }
+  },
+  "documentTitle": "Ändra konfiguration - Frigate",
+  "configEditor": "Ändra konfiguration",
+  "confirm": "Avsluta utan att spara?"
+}
diff --git a/web/public/locales/sv/views/events.json b/web/public/locales/sv/views/events.json
new file mode 100644
index 000000000..9536f9b3d
--- /dev/null
+++ b/web/public/locales/sv/views/events.json
@@ -0,0 +1,38 @@
+{
+  "detections": "Detektioner",
+  "alerts": "Varningar",
+  "motion": {
+    "label": "Rörelse",
+    "only": "Endast rörelse"
+  },
+  "allCameras": "Alla kameror",
+  "empty": {
+    "alert": "Det finns inga varningar att granska",
+    "detection": "Det finns inga detekteringar att granska",
+    "motion": "Ingen rörelsedata hittad"
+  },
+  "documentTitle": "Granska - Frigate",
+  "timeline": "Tidslinje",
+  "events": {
+    "noFoundForTimePeriod": "Inga hädelser hittade för denna tidsperiod.",
+    "aria": "Välj händelse",
+    "label": "Händelse"
+  },
+  "recordings": {
+    "documentTitle": "Inspelningar - Frigate"
+  },
+  "newReviewItems": {
+    "label": "Visa nya objekt att granska",
+    "button": "Nya objekt att granska"
+  },
+  "markAsReviewed": "Markera som granskad",
+  "calendarFilter": {
+    "last24Hours": "Senaste 24 timmarna"
+  },
+  "timeline.aria": "Välj tidslinje",
+  "camera": "Kamera",
+  "markTheseItemsAsReviewed": "Markera dessa objekt som granskade",
+  "detected": "upptäckt",
+  "selected_one": "{{count}} valda",
+  "selected_other": "{{count}} valda"
+}
diff --git a/web/public/locales/sv/views/explore.json b/web/public/locales/sv/views/explore.json
new file mode 100644
index 000000000..e8cecd73f
--- /dev/null
+++ b/web/public/locales/sv/views/explore.json
@@ -0,0 +1,29 @@
+{
+  "generativeAI": "Generativ AI",
+  "documentTitle": "Utforska - Frigate",
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "startingUp": "Startar upp…",
+      "estimatedTime": "Beräknad återstående tid:",
+      "finishingShortly": "Snart klar"
+    },
+    "title": "Utforska är inte tillgänglig",
+    "downloadingModels": {
+      "setup": {
+        "textModel": "Text modell"
+      },
+      "tips": {
+        "documentation": "Läs dokumentationen"
+      },
+      "error": "Ett fel har inträffat. Kontrollera Frigate loggarna."
+    }
+  },
+  "details": {
+    "timestamp": "tidsstämpel"
+  },
+  "exploreMore": "Utforska fler {{label}} objekt",
+  "type": {
+    "details": "detaljer",
+    "video": "video"
+  }
+}
diff --git a/web/public/locales/sv/views/exports.json b/web/public/locales/sv/views/exports.json
new file mode 100644
index 000000000..f5b8f37b5
--- /dev/null
+++ b/web/public/locales/sv/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Sök",
+  "documentTitle": "Export - Frigate",
+  "noExports": "Inga exporter hittade",
+  "deleteExport": "Radera export",
+  "deleteExport.desc": "Är du säker att du vill radera {{exportName}}?",
+  "editExport": {
+    "desc": "Ange ett nytt namn för denna export.",
+    "title": "Byt namn på Export",
+    "saveExport": "Spara Export"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Misslyckades att byta namn på export: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/sv/views/faceLibrary.json b/web/public/locales/sv/views/faceLibrary.json
new file mode 100644
index 000000000..763f7533c
--- /dev/null
+++ b/web/public/locales/sv/views/faceLibrary.json
@@ -0,0 +1,36 @@
+{
+  "details": {
+    "person": "Person",
+    "confidence": "Säkerhet",
+    "face": "Ansiktsdetaljer",
+    "timestamp": "tidsstämpel",
+    "faceDesc": "Detaljer för ansiktet och tillhörande objekt",
+    "unknown": "Okänt"
+  },
+  "description": {
+    "placeholder": "Ange ett namn för denna samling",
+    "addFace": "Gå genom för att lägga till nya ansikte till biblioteket.",
+    "invalidName": "Felaktigt namn. Namn kan endast innehålla bokstäver, siffror, mellanslag, apostrofer, understreck och bindestreck."
+  },
+  "documentTitle": "Ansiktsbibliotek - Frigate",
+  "steps": {
+    "faceName": "Ange namn",
+    "uploadFace": "Ladda upp bild på ansikte",
+    "nextSteps": "Nästa steg"
+  },
+  "createFaceLibrary": {
+    "title": "Skapa samling",
+    "desc": "Skapa ny samling",
+    "nextSteps": "För att bygga en stark grund:<li>Använd fliken Träna för att välja och träna på bilder för varje upptäckt person.</li><li>Fokusera på raka bilder för bästa resultat; undvik träningsbilder som fångar ansikten i vinkel.</li></ul>",
+    "new": "Skapa nytt ansikte"
+  },
+  "train": {
+    "title": "Träna"
+  },
+  "uploadFaceImage": {
+    "title": "Ladda upp ansiktsbild",
+    "desc": "Ladda upp en bild för att skanna efter ansikte och inkludera {{pageToggle}}"
+  },
+  "selectItem": "Välj {{item}}",
+  "collections": "Samlingar"
+}
diff --git a/web/public/locales/sv/views/live.json b/web/public/locales/sv/views/live.json
new file mode 100644
index 000000000..ff6d2a4c2
--- /dev/null
+++ b/web/public/locales/sv/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Live - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Live - Frigate",
+  "twoWayTalk": {
+    "enable": "Aktivera Two Way Talk",
+    "disable": "Avaktivera Two Way Talk"
+  },
+  "cameraAudio": {
+    "disable": "Inaktivera kameraljud",
+    "enable": "Aktivera kameraljud"
+  },
+  "ptz": {
+    "zoom": {
+      "in": {
+        "label": "Zooma in PTZ kamera"
+      },
+      "out": {
+        "label": "Zooma ut PTZ kamera"
+      }
+    },
+    "move": {
+      "up": {
+        "label": "Flytta PTZ kamera uppåt"
+      },
+      "right": {
+        "label": "Flytta PTZ kamera åt höger"
+      },
+      "clickMove": {
+        "disable": "Inaktivera klick för att flytta",
+        "label": "Klicka i bilden för att centrera kameran",
+        "enable": "Aktivera klick för att flytta"
+      },
+      "left": {
+        "label": "Flytta PTZ kamera till vänster"
+      },
+      "down": {
+        "label": "Flytta PTZ kamera nedåt"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Klicka i bilden för att centrera PTZ kamera"
+      }
+    },
+    "presets": "PTZ kamera förinställningar"
+  },
+  "streamStats": {
+    "enable": "Visa videostatistik",
+    "disable": "Dölj videostatistik"
+  },
+  "detect": {
+    "enable": "Aktivera detektering",
+    "disable": "Avaktivera detektering"
+  },
+  "recording": {
+    "enable": "Aktivera inspelning",
+    "disable": "Avaktivera inspelning"
+  },
+  "snapshots": {
+    "enable": "Aktivera ögonblicksbilder",
+    "disable": "Avaktivera ögonblicksbilder"
+  },
+  "audioDetect": {
+    "enable": "Aktivera ljudaktivering",
+    "disable": "Avaktivera ljudaktivering"
+  },
+  "autotracking": {
+    "enable": "Aktivera automatisk panorering",
+    "disable": "Avaktivera automatisk panorering"
+  },
+  "notifications": "Notifikationer",
+  "audio": "Ljud",
+  "lowBandwidthMode": "Läge för låg bandbredd",
+  "manualRecording": {
+    "failedToEnd": "Misslyckades med att avsluta manuell vid behov-inspelning.",
+    "started": "Starta manuell inspelning vid behov.",
+    "title": "Aktivera inspelning vid behov",
+    "tips": "Starta en manuell händelse enligt denna kameras inställningar för inspelningslagring.",
+    "playInBackground": {
+      "label": "Spela upp i bakgrunden",
+      "desc": "Strömma vidare när spelaren inte visas."
+    },
+    "showStats": {
+      "label": "Visa Statistik",
+      "desc": "Visa statistik ovanpå kamerabilden."
+    },
+    "debugView": "Felsökningsvy",
+    "start": "Starta inspelning vid behov",
+    "failedToStart": "Misslyckades med att starta manuell inspelning vid behov.",
+    "recordDisabledTips": "Eftersom inspelning är inaktiverad eller begränsad i konfigurationen för den här kameran kommer endast en ögonblicksbild att sparas.",
+    "end": "Avsluta vid behov-inspelning",
+    "ended": "Avslutade manuell vid behov-inspelning."
+  },
+  "cameraSettings": {
+    "audioDetection": "Ljuddetektering",
+    "title": "{{kamera}} inställningar",
+    "cameraEnabled": "Kamera Aktiverad",
+    "objectDetection": "Objektsdetektering",
+    "recording": "Inspelning",
+    "snapshots": "Ögonblicksbilder",
+    "autotracking": "Autospårning"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "active_objects": "Aktiva Objekt",
+      "all": "Allt",
+      "motion": "Rörelse"
+    },
+    "notAllTips": "Din lagringskonfiguration för {{source}}-inspelning är inställd på <code>läge: {{effectiveRetainMode}}</code>, så den här inspelningen vid behov kommer endast att behålla segment av {{effectiveRetainModeName}}."
+  },
+  "editLayout": {
+    "label": "Redigera Layout",
+    "group": {
+      "label": "Redigera Kameragrupp"
+    },
+    "exitEdit": "Lämna Redigering"
+  },
+  "camera": {
+    "enable": "Aktivera Kamera",
+    "disable": "Inaktivera Kamera"
+  },
+  "muteCameras": {
+    "enable": "Slå av ljudet på alla kameror",
+    "disable": "Slå på ljudet på alla kameror"
+  },
+  "streamingSettings": "Inställningar för Streaming",
+  "suspend": {
+    "forTime": "Pausa för: "
+  },
+  "stream": {
+    "title": "Ström (Swedish also use the word Stream)",
+    "audio": {
+      "tips": {
+        "title": "Ljud måste skickas ut från din kamera och konfigureras i go2rtc för den här strömmen.",
+        "documentation": "Läs dokumentationen: "
+      },
+      "available": "Ljud är tillgängligt för den här strömmen",
+      "unavailable": "Ljud är inte tillgängligt för den här strömmen"
+    },
+    "twoWayTalk": {
+      "tips": "Din enhet måste stödja funktionen och WebRTC måste vara konfigurerat för tvåvägskommunikation.",
+      "tips.documentation": "Läs dokumentationen: ",
+      "available": "tvåvägskommunikation är tillgängligt för den här strömmen",
+      "unavailable": "Tvåvägskommunikation är inte tillgängligt för den här strömmen"
+    },
+    "lowBandwidth": {
+      "tips": "Livevisningen är i lägebandbreddsläge på grund av buffring eller strömningsfel.",
+      "resetStream": "Återställ ström"
+    },
+    "playInBackground": {
+      "label": "Spela i bakgrunden",
+      "tips": "Aktivera det här alternativet för att fortsätta strömma när spelaren är dold."
+    }
+  },
+  "history": {
+    "label": "Visa historiskt videomaterial"
+  }
+}
diff --git a/web/public/locales/sv/views/recording.json b/web/public/locales/sv/views/recording.json
new file mode 100644
index 000000000..6e9e231a3
--- /dev/null
+++ b/web/public/locales/sv/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Export",
+  "filter": "Filter",
+  "calendar": "Kalender",
+  "filters": "Filter",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Inget giltigt tidsintervall valt",
+      "endTimeMustAfterStartTime": "Sluttid måste vara efter starttid"
+    }
+  }
+}
diff --git a/web/public/locales/sv/views/search.json b/web/public/locales/sv/views/search.json
new file mode 100644
index 000000000..5fd24ab76
--- /dev/null
+++ b/web/public/locales/sv/views/search.json
@@ -0,0 +1,72 @@
+{
+  "savedSearches": "Sparade Sökningar",
+  "searchFor": "Sök efter {{inputValue}}",
+  "search": "Sök",
+  "button": {
+    "clear": "Radera sökning",
+    "save": "Spara sökning",
+    "filterActive": "Aktiva filter",
+    "delete": "Ta bort sparad sökning",
+    "filterInformation": "Filterinformation"
+  },
+  "filter": {
+    "tips": {
+      "desc": {
+        "step1": "Skriv ett filtreringsnyckelnamn följt av ett kolon (t.ex. \"kameror:\").",
+        "step2": "Välj ett värde utifrån alternativen eller skriv in ditt egna.",
+        "step3": "Använd flera filter genom att addera dom en efter en med ett mellanslag emellan dom.",
+        "step4": "Datumfilter (före: och efter:) använd {{DateFormat}} format.",
+        "step5": "Tidsintervaller använder {{exampleTime}} format.",
+        "exampleLabel": "Exempel:",
+        "step6": "Ta bort filter genom att klicka på 'x\" bredvid dom.",
+        "text": "Filter hjälper dig att begränsa dina sökresultat. Så här använder du dem i inmatningsfältet:"
+      },
+      "title": "Hur du använder filter"
+    },
+    "header": {
+      "noFilters": "Filter",
+      "activeFilters": "Aktiva Filter",
+      "currentFilterType": "Filtervärden"
+    },
+    "label": {
+      "after": "Efter",
+      "min_speed": "Minsta Hastighet",
+      "zones": "Zoner",
+      "min_score": "Minsta Poäng",
+      "cameras": "Kameror",
+      "sub_labels": "Underetiketter",
+      "search_type": "Söktyp",
+      "time_range": "Tidsintervall",
+      "before": "Före",
+      "max_speed": "Högsta Hastighet",
+      "recognized_license_plate": "Identifierad registreringsskylt",
+      "has_clip": "Har klipp",
+      "has_snapshot": "Har Ögonblicksbild",
+      "labels": "Etiketter",
+      "max_score": "Högsta Poäng"
+    },
+    "searchType": {
+      "thumbnail": "Miniatyrbild",
+      "description": "Beskrivning"
+    },
+    "toast": {
+      "error": {
+        "afterDatebeEarlierBefore": "Datumet \"efter\" måste vara tidigare än datumet \"före\".",
+        "minScoreMustBeLessOrEqualMaxScore": "\"min_score\" måste vara mindre än eller lika med \"max_score\".",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "\"max_speed\" måste vara större än eller lika med \"min_speed\".",
+        "beforeDateBeLaterAfter": "Datumet \"före\" måste vara senare än datumet \"efter\".",
+        "maxScoreMustBeGreaterOrEqualMinScore": "\"max_score\" måste vara större än eller lika med \"min_score\".",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "\"min_speed\" måste vara mindre än eller lika med \"max_speed\"."
+      }
+    }
+  },
+  "similaritySearch": {
+    "title": "Likhetssökning",
+    "active": "Likhetsökning aktiv",
+    "clear": "Rensa likhetsökning"
+  },
+  "placeholder": {
+    "search": "Sök…"
+  },
+  "trackedObjectId": "Spårad Objekts ID"
+}
diff --git a/web/public/locales/sv/views/settings.json b/web/public/locales/sv/views/settings.json
new file mode 100644
index 000000000..df1de30e0
--- /dev/null
+++ b/web/public/locales/sv/views/settings.json
@@ -0,0 +1,88 @@
+{
+  "documentTitle": {
+    "camera": "Kamerainställningar - Frigate",
+    "default": "Inställningar - Frigate",
+    "general": "Allmänna inställningar - Frigate",
+    "authentication": "Autentiseringsinställningar - Frigate",
+    "classification": "Klassificeringsinställningar - Frigate",
+    "masksAndZones": "Maskerings- och zonverktyg - Frigate",
+    "enrichments": "Förbättringsinställningar - Frigate",
+    "frigatePlus": "Frigate+ Inställningar - Frigate",
+    "notifications": "Notifikations Inställningar - Frigate"
+  },
+  "general": {
+    "title": "Allmänna Inställningar",
+    "liveDashboard": {
+      "automaticLiveView": {
+        "desc": "Automatiskt byte till kamera där aktivitet registreras. Inaktivering av denna inställning gör att en statisk bild visas i Live Panelen som uppdateras en gång per minut.",
+        "label": "Automatisk Live Visning"
+      },
+      "playAlertVideos": {
+        "desc": "Som standard visas varningar på Live Panelen som små loopande klipp. Inaktivera denna inställning för att bara visa en statisk bild av nya varningar på denna enhet/webbläsare.",
+        "label": "Spela Varnings Videos"
+      },
+      "title": "Live Panel"
+    },
+    "storedLayouts": {
+      "title": "Sparade Layouter",
+      "desc": "Layouten av kameror i en grupp kan dras för att ändra storlek. Positionerna lagras lokalt i din webbläsare.",
+      "clearAll": "Rensa Alla Layouter"
+    },
+    "cameraGroupStreaming": {
+      "desc": "Streaming inställningar för varje kameragrupp lagras lokalt i din webbläsare.",
+      "clearAll": "Rensa Alla Streaming Inställningar",
+      "title": "Kamera Grupp Streaming Inställningar"
+    },
+    "recordingsViewer": {
+      "title": "Inspelningsvisare",
+      "defaultPlaybackRate": {
+        "desc": "Standard uppspelningshastighet för inspelningar.",
+        "label": "Standard Uppspelningshastighet"
+      }
+    },
+    "calendar": {
+      "firstWeekday": {
+        "sunday": "Söndag",
+        "monday": "Måndag",
+        "label": "Första Veckodag"
+      },
+      "title": "Kalender"
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Rensa lagrad layout för {{cameraName}}",
+        "clearStreamingSettings": "Rensa streaminginställningar för samtliga kameragrupper."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Misslyckades att rensa lagrad layout för: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Misslyckades med att rensa streaminginställningar: {{errorMessage}}"
+      }
+    }
+  },
+  "cameraSetting": {
+    "noCamera": "Ingen Kamera",
+    "camera": "Kamera"
+  },
+  "enrichments": {
+    "unsavedChanges": "Osparade Förbättringsinställningar",
+    "birdClassification": {
+      "title": "Fågel klassificering"
+    },
+    "title": "Förbättringsinställningar"
+  },
+  "menu": {
+    "ui": "UI",
+    "cameras": "Kamera Inställningar",
+    "masksAndZones": "Masker / Områden",
+    "users": "Användare",
+    "notifications": "Notifikationer",
+    "frigateplus": "Frigate+",
+    "enrichments": "Förbättringar"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Du har osparade ändringar.",
+      "desc": "Vill du spara dina ändringar innan du fortsätter?"
+    }
+  }
+}
diff --git a/web/public/locales/sv/views/system.json b/web/public/locales/sv/views/system.json
new file mode 100644
index 000000000..d10bf2e1d
--- /dev/null
+++ b/web/public/locales/sv/views/system.json
@@ -0,0 +1,71 @@
+{
+  "documentTitle": {
+    "storage": "Lagringsstatistik - Frigate",
+    "general": "Allmän statistik - Frigate",
+    "cameras": "Kamerastatistik - Frigate",
+    "logs": {
+      "frigate": "Frigate loggar - Frigate",
+      "go2rtc": "Go2RTC Loggar - Frigate"
+    }
+  },
+  "logs": {
+    "copy": {
+      "label": "Kopiera till urklipp",
+      "success": "Kopierat loggarna till utklippstavlan",
+      "error": "Kunde inte kopiera loggarna till utklippstavlan"
+    },
+    "download": {
+      "label": "Ladda ned logg"
+    },
+    "type": {
+      "label": "Typ",
+      "timestamp": "Tidsstämpel",
+      "message": "Meddelande",
+      "tag": "Tagg"
+    },
+    "tips": "Loggarna strömmas från Server",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Fel vid hämtning av loggar: {{errorMessage}}",
+        "whileStreamingLogs": "Fel vid uppspelning av loggar: {{errorMessage}}"
+      }
+    }
+  },
+  "title": "System",
+  "metrics": "System detaljer",
+  "general": {
+    "title": "Generellt",
+    "detector": {
+      "title": "Detektorer"
+    },
+    "hardwareInfo": {
+      "title": "Hårdvaruinformation",
+      "gpuUsage": "GPU-användning",
+      "gpuMemory": "GPU-minne"
+    },
+    "otherProcesses": {
+      "title": "Övriga processer"
+    }
+  },
+  "storage": {
+    "cameraStorage": {
+      "storageUsed": "Lagring",
+      "percentageOfTotalUsed": "Procentandel av totalt",
+      "bandwidth": "Bandbredd",
+      "unused": {
+        "title": "Oanvänt",
+        "tips": "Det här värdet kanske inte korrekt representerar det lediga utrymmet tillgängligt för Frigate om du har andra filer lagrade på din hårddisk utöver Frigates inspelningar. Frigate spårar inte lagringsanvändning utanför sina egna inspelningar."
+      }
+    }
+  },
+  "cameras": {
+    "title": "Kameror",
+    "overview": "Översikt",
+    "info": {
+      "aspectRatio": "bildförhållande"
+    },
+    "label": {
+      "detect": "detektera"
+    }
+  }
+}
diff --git a/web/public/locales/th/audio.json b/web/public/locales/th/audio.json
new file mode 100644
index 000000000..d6da10494
--- /dev/null
+++ b/web/public/locales/th/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "พูด",
+  "yell": "ตะโกน",
+  "babbling": "พูดไม่ชัด",
+  "bellow": "ตะโกนเสียงต่ำ",
+  "whoop": "โห่ร้อง",
+  "singing": "ร้องเพลง",
+  "choir": "คณะนักร้องประสานเสียง",
+  "yodeling": "การร้องเพลงแบบโยเดิล",
+  "chant": "สวดมนต์",
+  "mantra": "มนต์",
+  "child_singing": "เด็กกำลังร้องเพลง",
+  "throat_clearing": "กระแอม",
+  "sneeze": "จาม",
+  "sniff": "สูดจมูก",
+  "run": "[ยังไม่แปล: Run]",
+  "shuffle": "[ยังไม่แปล: Shuffle]",
+  "footsteps": "[ยังไม่แปล: Footsteps]",
+  "biting": "[ยังไม่แปล: Biting]",
+  "gargling": "[ยังไม่แปล: Gargling]",
+  "stomach_rumble": "[ยังไม่แปล: Stomach Rumble]",
+  "burping": "[ยังไม่แปล: Burping]",
+  "hiccup": "[ยังไม่แปล: Hiccup]",
+  "heart_murmur": "[ยังไม่แปล: Heart Murmur]",
+  "cheering": "[ยังไม่แปล: Cheering]",
+  "applause": "[ยังไม่แปล: Applause]",
+  "chatter": "[ยังไม่แปล: Chatter]",
+  "crowd": "[ยังไม่แปล: Crowd]",
+  "children_playing": "[ยังไม่แปล: Children Playing]",
+  "animal": "สัตว์",
+  "pets": "[ยังไม่แปล: Pets]",
+  "dog": "สุนัข",
+  "bark": "เสียงหอบ",
+  "yip": "[ยังไม่แปล: Yip]",
+  "howl": "[ยังไม่แปล: Howl]",
+  "bow_wow": "[ยังไม่แปล: Bow Wow]",
+  "growling": "[ยังไม่แปล: Growling]",
+  "whimper_dog": "[ยังไม่แปล: Dog Whimper]",
+  "chirp": "[ยังไม่แปล: Chirp]",
+  "squawk": "[ยังไม่แปล: Squawk]",
+  "pigeon": "[ยังไม่แปล: Pigeon]",
+  "coo": "[ยังไม่แปล: Coo]",
+  "dogs": "[ยังไม่แปล: Dogs]",
+  "rats": "[ยังไม่แปล: Rats]",
+  "mouse": "เมาส์",
+  "patter": "[ยังไม่แปล: Patter]",
+  "insect": "[ยังไม่แปล: Insect]",
+  "cricket": "[ยังไม่แปล: Cricket]",
+  "frog": "[ยังไม่แปล: Frog]",
+  "croak": "[ยังไม่แปล: Croak]",
+  "snake": "[ยังไม่แปล: Snake]",
+  "snare_drum": "[ยังไม่แปล: Snare Drum]",
+  "rimshot": "[ยังไม่แปล: Rimshot]",
+  "trumpet": "[ยังไม่แปล: Trumpet]",
+  "trombone": "[ยังไม่แปล: Trombone]",
+  "bowed_string_instrument": "[ยังไม่แปล: Bowed String Instrument]",
+  "tuning_fork": "[ยังไม่แปล: Tuning Fork]",
+  "chime": "[ยังไม่แปล: Chime]",
+  "wind_chime": "[ยังไม่แปล: Wind Chime]",
+  "harmonica": "[ยังไม่แปล: Harmonica]",
+  "accordion": "[ยังไม่แปล: Accordion]",
+  "bagpipes": "[ยังไม่แปล: Bagpipes]",
+  "rock_music": "[ยังไม่แปล: Rock Music]",
+  "heavy_metal": "[ยังไม่แปล: Heavy Metal]",
+  "punk_rock": "[ยังไม่แปล: Punk Rock]",
+  "psychedelic_rock": "[ยังไม่แปล: Psychedelic Rock]",
+  "rhythm_and_blues": "[ยังไม่แปล: Rhythm and Blues]",
+  "soul_music": "[ยังไม่แปล: Soul Music]",
+  "reggae": "[ยังไม่แปล: Reggae]",
+  "country": "[ยังไม่แปล: Country]",
+  "swing_music": "[ยังไม่แปล: Swing Music]",
+  "bluegrass": "[ยังไม่แปล: Bluegrass]",
+  "funk": "[ยังไม่แปล: Funk]",
+  "folk_music": "[ยังไม่แปล: Folk Music]",
+  "middle_eastern_music": "[ยังไม่แปล: Middle Eastern Music]",
+  "jazz": "[ยังไม่แปล: Jazz]",
+  "disco": "[ยังไม่แปล: Disco]",
+  "independent_music": "[ยังไม่แปล: Independent Music]",
+  "song": "[ยังไม่แปล: Song]",
+  "jet_engine": "[ยังไม่แปล: Jet Engine]",
+  "propeller": "[ยังไม่แปล: Propeller]",
+  "helicopter": "[ยังไม่แปล: Helicopter]",
+  "fixed-wing_aircraft": "[ยังไม่แปล: Fixed-Wing Aircraft]",
+  "bicycle": "จักรยาน",
+  "accelerating": "[ยังไม่แปล: Accelerating]",
+  "door": "ประตู",
+  "slam": "[ยังไม่แปล: Slam]",
+  "computer_keyboard": "[ยังไม่แปล: Computer Keyboard]",
+  "radio": "[ยังไม่แปล: Radio]",
+  "field_recording": "[ยังไม่แปล: Field Recording]",
+  "scream": "[ยังไม่แปล: Scream]",
+  "whispering": "กระซิบ",
+  "laughter": "เสียงหัวเราะ",
+  "snicker": "หัวเราะเยาะ",
+  "crying": "ร้องไห้",
+  "sigh": "ถอนหายใจ",
+  "synthetic_singing": "การร้องเพลงสังเคราะห์",
+  "rapping": "การแร็พ",
+  "humming": "ฮัมเพลง",
+  "groan": "ครวญคราง",
+  "grunt": "เสียงคราง",
+  "whistling": "ผิวปาก",
+  "breathing": "การหายใจ",
+  "wheeze": "หายใจเสียงวี้ด",
+  "snoring": "กรน",
+  "gasp": "หอบ",
+  "pant": "หายใจหอบ",
+  "snort": "เสียงสูดจมูก",
+  "cough": "ไอ",
+  "chewing": "[ยังไม่แปล: Chewing]",
+  "fart": "[ยังไม่แปล: Fart]",
+  "hands": "[ยังไม่แปล: Hands]",
+  "finger_snapping": "[ยังไม่แปล: Finger Snapping]",
+  "clapping": "[ยังไม่แปล: Clapping]",
+  "heartbeat": "[ยังไม่แปล: Heartbeat]",
+  "cat": "แมว",
+  "purr": "[ยังไม่แปล: Purr]",
+  "meow": "[ยังไม่แปล: Meow]",
+  "hiss": "[ยังไม่แปล: Hiss]",
+  "caterwaul": "[ยังไม่แปล: Caterwaul]",
+  "livestock": "[ยังไม่แปล: Livestock]",
+  "horse": "ม้า",
+  "clip_clop": "[ยังไม่แปล: Clip Clop]",
+  "neigh": "[ยังไม่แปล: Neigh]",
+  "cattle": "[ยังไม่แปล: Cattle]",
+  "moo": "[ยังไม่แปล: Moo]",
+  "cowbell": "[ยังไม่แปล: Cowbell]",
+  "pig": "[ยังไม่แปล: Pig]",
+  "oink": "[ยังไม่แปล: Oink]",
+  "goat": "แพะ",
+  "bleat": "[ยังไม่แปล: Bleat]",
+  "sheep": "แกะ",
+  "fowl": "[ยังไม่แปล: Fowl]",
+  "chicken": "[ยังไม่แปล: Chicken]",
+  "cluck": "[ยังไม่แปล: Cluck]",
+  "cock_a_doodle_doo": "[ยังไม่แปล: Cock-a-Doodle-Doo]",
+  "turkey": "[ยังไม่แปล: Turkey]",
+  "gobble": "[ยังไม่แปล: Gobble]",
+  "duck": "[ยังไม่แปล: Duck]",
+  "quack": "[ยังไม่แปล: Quack]",
+  "goose": "[ยังไม่แปล: Goose]",
+  "honk": "[ยังไม่แปล: Honk]",
+  "wild_animals": "[ยังไม่แปล: Wild Animals]",
+  "roaring_cats": "[ยังไม่แปล: Roaring Cats]",
+  "roar": "[ยังไม่แปล: Roar]",
+  "bird": "นก",
+  "crow": "[ยังไม่แปล: Crow]",
+  "caw": "[ยังไม่แปล: Caw]",
+  "owl": "[ยังไม่แปล: Owl]",
+  "hoot": "[ยังไม่แปล: Hoot]",
+  "flapping_wings": "[ยังไม่แปล: Flapping Wings]",
+  "mosquito": "[ยังไม่แปล: Mosquito]",
+  "fly": "[ยังไม่แปล: Fly]",
+  "buzz": "[ยังไม่แปล: Buzz]",
+  "rattle": "[ยังไม่แปล: Rattle]",
+  "whale_vocalization": "[ยังไม่แปล: Whale Vocalization]",
+  "music": "[ยังไม่แปล: Music]",
+  "musical_instrument": "[ยังไม่แปล: Musical Instrument]",
+  "plucked_string_instrument": "[ยังไม่แปล: Plucked String Instrument]",
+  "guitar": "[ยังไม่แปล: Guitar]",
+  "electric_guitar": "[ยังไม่แปล: Electric Guitar]",
+  "bass_guitar": "[ยังไม่แปล: Bass Guitar]",
+  "acoustic_guitar": "[ยังไม่แปล: Acoustic Guitar]",
+  "steel_guitar": "[ยังไม่แปล: Steel Guitar]",
+  "tapping": "[ยังไม่แปล: Tapping]",
+  "strum": "[ยังไม่แปล: Strum]",
+  "banjo": "[ยังไม่แปล: Banjo]",
+  "sitar": "[ยังไม่แปล: Sitar]",
+  "mandolin": "[ยังไม่แปล: Mandolin]",
+  "zither": "[ยังไม่แปล: Zither]",
+  "ukulele": "[ยังไม่แปล: Ukulele]",
+  "keyboard": "คีย์บอร์ด",
+  "piano": "[ยังไม่แปล: Piano]",
+  "electric_piano": "[ยังไม่แปล: Electric Piano]",
+  "organ": "[ยังไม่แปล: Organ]",
+  "electronic_organ": "[ยังไม่แปล: Electronic Organ]",
+  "hammond_organ": "[ยังไม่แปล: Hammond Organ]",
+  "synthesizer": "[ยังไม่แปล: Synthesizer]",
+  "sampler": "[ยังไม่แปล: Sampler]",
+  "harpsichord": "[ยังไม่แปล: Harpsichord]",
+  "percussion": "[ยังไม่แปล: Percussion]",
+  "drum_kit": "[ยังไม่แปล: Drum Kit]",
+  "drum_machine": "[ยังไม่แปล: Drum Machine]",
+  "drum": "[ยังไม่แปล: Drum]",
+  "drum_roll": "[ยังไม่แปล: Drum Roll]",
+  "bass_drum": "[ยังไม่แปล: Bass Drum]",
+  "timpani": "[ยังไม่แปล: Timpani]",
+  "tabla": "[ยังไม่แปล: Tabla]",
+  "cymbal": "[ยังไม่แปล: Cymbal]",
+  "hi_hat": "[ยังไม่แปล: Hi-Hat]",
+  "wood_block": "[ยังไม่แปล: Wood Block]",
+  "tambourine": "[ยังไม่แปล: Tambourine]",
+  "maraca": "[ยังไม่แปล: Maraca]",
+  "gong": "[ยังไม่แปล: Gong]",
+  "tubular_bells": "[ยังไม่แปล: Tubular Bells]",
+  "mallet_percussion": "[ยังไม่แปล: Mallet Percussion]",
+  "marimba": "[ยังไม่แปล: Marimba]",
+  "glockenspiel": "[ยังไม่แปล: Glockenspiel]",
+  "vibraphone": "[ยังไม่แปล: Vibraphone]",
+  "steelpan": "[ยังไม่แปล: Steelpan]",
+  "orchestra": "[ยังไม่แปล: Orchestra]",
+  "brass_instrument": "[ยังไม่แปล: Brass Instrument]",
+  "church_bell": "[ยังไม่แปล: Church Bell]",
+  "jingle_bell": "[ยังไม่แปล: Jingle Bell]",
+  "french_horn": "[ยังไม่แปล: French Horn]",
+  "string_section": "[ยังไม่แปล: String Section]",
+  "violin": "[ยังไม่แปล: Violin]",
+  "bicycle_bell": "[ยังไม่แปล: Bicycle Bell]",
+  "pizzicato": "[ยังไม่แปล: Pizzicato]",
+  "cello": "[ยังไม่แปล: Cello]",
+  "double_bass": "[ยังไม่แปล: Double Bass]",
+  "wind_instrument": "[ยังไม่แปล: Wind Instrument]",
+  "flute": "[ยังไม่แปล: Flute]",
+  "saxophone": "[ยังไม่แปล: Saxophone]",
+  "clarinet": "[ยังไม่แปล: Clarinet]",
+  "harp": "[ยังไม่แปล: Harp]",
+  "bell": "[ยังไม่แปล: Bell]",
+  "didgeridoo": "[ยังไม่แปล: Didgeridoo]",
+  "theremin": "[ยังไม่แปล: Theremin]",
+  "singing_bowl": "[ยังไม่แปล: Singing Bowl]",
+  "scratching": "[ยังไม่แปล: Scratching]",
+  "pop_music": "[ยังไม่แปล: Pop Music]",
+  "hip_hop_music": "[ยังไม่แปล: Hip-Hop Music]",
+  "beatboxing": "[ยังไม่แปล: Beatboxing]",
+  "grunge": "[ยังไม่แปล: Grunge]",
+  "progressive_rock": "[ยังไม่แปล: Progressive Rock]",
+  "rock_and_roll": "[ยังไม่แปล: Rock and Roll]",
+  "classical_music": "[ยังไม่แปล: Classical Music]",
+  "opera": "[ยังไม่แปล: Opera]",
+  "electronic_music": "[ยังไม่แปล: Electronic Music]",
+  "house_music": "[ยังไม่แปล: House Music]",
+  "drum_and_bass": "[ยังไม่แปล: Drum and Bass]",
+  "techno": "[ยังไม่แปล: Techno]",
+  "dubstep": "[ยังไม่แปล: Dubstep]",
+  "electronica": "[ยังไม่แปล: Electronica]",
+  "electronic_dance_music": "[ยังไม่แปล: Electronic Dance Music]",
+  "ambient_music": "[ยังไม่แปล: Ambient Music]",
+  "trance_music": "[ยังไม่แปล: Trance Music]",
+  "music_of_latin_america": "[ยังไม่แปล: Music of Latin America]",
+  "salsa_music": "[ยังไม่แปล: Salsa Music]",
+  "flamenco": "[ยังไม่แปล: Flamenco]",
+  "blues": "[ยังไม่แปล: Blues]",
+  "music_for_children": "[ยังไม่แปล: Music for Children]",
+  "new-age_music": "[ยังไม่แปล: New Age Music]",
+  "vocal_music": "[ยังไม่แปล: Vocal Music]",
+  "a_capella": "[ยังไม่แปล: A Capella]",
+  "music_of_africa": "[ยังไม่แปล: Music of Africa]",
+  "afrobeat": "[ยังไม่แปล: Afrobeat]",
+  "christian_music": "[ยังไม่แปล: Christian Music]",
+  "gospel_music": "[ยังไม่แปล: Gospel Music]",
+  "music_of_asia": "[ยังไม่แปล: Music of Asia]",
+  "carnatic_music": "[ยังไม่แปล: Carnatic Music]",
+  "music_of_bollywood": "[ยังไม่แปล: Music of Bollywood]",
+  "ska": "[ยังไม่แปล: Ska]",
+  "traditional_music": "[ยังไม่แปล: Traditional Music]",
+  "background_music": "[ยังไม่แปล: Background Music]",
+  "theme_music": "[ยังไม่แปล: Theme Music]",
+  "jingle": "[ยังไม่แปล: Jingle]",
+  "soundtrack_music": "[ยังไม่แปล: Soundtrack Music]",
+  "lullaby": "[ยังไม่แปล: Lullaby]",
+  "video_game_music": "[ยังไม่แปล: Video Game Music]",
+  "christmas_music": "[ยังไม่แปล: Christmas Music]",
+  "dance_music": "[ยังไม่แปล: Dance Music]",
+  "wedding_music": "[ยังไม่แปล: Wedding Music]",
+  "happy_music": "[ยังไม่แปล: Happy Music]",
+  "sad_music": "[ยังไม่แปล: Sad Music]",
+  "angry_music": "[ยังไม่แปล: Angry Music]",
+  "scary_music": "[ยังไม่แปล: Scary Music]",
+  "tender_music": "[ยังไม่แปล: Tender Music]",
+  "exciting_music": "[ยังไม่แปล: Exciting Music]",
+  "wind": "[ยังไม่แปล: Wind]",
+  "rustling_leaves": "[ยังไม่แปล: Rustling Leaves]",
+  "wind_noise": "[ยังไม่แปล: Wind Noise]",
+  "thunderstorm": "[ยังไม่แปล: Thunderstorm]",
+  "thunder": "[ยังไม่แปล: Thunder]",
+  "water": "[ยังไม่แปล: Water]",
+  "rain": "[ยังไม่แปล: Rain]",
+  "raindrop": "[ยังไม่แปล: Raindrop]",
+  "rain_on_surface": "[ยังไม่แปล: Rain on Surface]",
+  "stream": "[ยังไม่แปล: Stream]",
+  "ocean": "[ยังไม่แปล: Ocean]",
+  "waterfall": "[ยังไม่แปล: Waterfall]",
+  "waves": "[ยังไม่แปล: Waves]",
+  "steam": "[ยังไม่แปล: Steam]",
+  "gurgling": "[ยังไม่แปล: Gurgling]",
+  "fire": "[ยังไม่แปล: Fire]",
+  "crackle": "[ยังไม่แปล: Crackle]",
+  "vehicle": "ยานพาหนะ",
+  "boat": "เรือ",
+  "sailboat": "[ยังไม่แปล: Sailboat]",
+  "rowboat": "[ยังไม่แปล: Rowboat]",
+  "motorboat": "[ยังไม่แปล: Motorboat]",
+  "ship": "[ยังไม่แปล: Ship]",
+  "motor_vehicle": "[ยังไม่แปล: Motor Vehicle]",
+  "car": "รถยนต์",
+  "toot": "[ยังไม่แปล: Toot]",
+  "car_alarm": "[ยังไม่แปล: Car Alarm]",
+  "power_windows": "[ยังไม่แปล: Power Windows]",
+  "skidding": "[ยังไม่แปล: Skidding]",
+  "tire_squeal": "[ยังไม่แปล: Tire Squeal]",
+  "car_passing_by": "[ยังไม่แปล: Car Passing By]",
+  "race_car": "[ยังไม่แปล: Race Car]",
+  "truck": "[ยังไม่แปล: Truck]",
+  "air_brake": "[ยังไม่แปล: Air Brake]",
+  "air_horn": "[ยังไม่แปล: Air Horn]",
+  "reversing_beeps": "[ยังไม่แปล: Reversing Beeps]",
+  "ice_cream_truck": "[ยังไม่แปล: Ice Cream Truck]",
+  "bus": "รถประจำทาง",
+  "emergency_vehicle": "[ยังไม่แปล: Emergency Vehicle]",
+  "police_car": "[ยังไม่แปล: Police Car]",
+  "ambulance": "[ยังไม่แปล: Ambulance]",
+  "fire_engine": "[ยังไม่แปล: Fire Engine]",
+  "motorcycle": "มอเตอร์ไซค์",
+  "traffic_noise": "[ยังไม่แปล: Traffic Noise]",
+  "rail_transport": "[ยังไม่แปล: Rail Transport]",
+  "train": "รถไฟ",
+  "train_whistle": "[ยังไม่แปล: Train Whistle]",
+  "train_horn": "[ยังไม่แปล: Train Horn]",
+  "railroad_car": "[ยังไม่แปล: Railroad Car]",
+  "train_wheels_squealing": "[ยังไม่แปล: Train Wheels Squealing]",
+  "subway": "[ยังไม่แปล: Subway]",
+  "aircraft": "[ยังไม่แปล: Aircraft]",
+  "aircraft_engine": "[ยังไม่แปล: Aircraft Engine]",
+  "skateboard": "สเก็ตบอร์ด",
+  "engine": "[ยังไม่แปล: Engine]",
+  "light_engine": "[ยังไม่แปล: Light Engine]",
+  "dental_drill's_drill": "[ยังไม่แปล: Dental Drill]",
+  "lawn_mower": "[ยังไม่แปล: Lawn Mower]",
+  "chainsaw": "[ยังไม่แปล: Chainsaw]",
+  "medium_engine": "[ยังไม่แปล: Medium Engine]",
+  "heavy_engine": "[ยังไม่แปล: Heavy Engine]",
+  "engine_knocking": "[ยังไม่แปล: Engine Knocking]",
+  "engine_starting": "[ยังไม่แปล: Engine Starting]",
+  "idling": "[ยังไม่แปล: Idling]",
+  "doorbell": "[ยังไม่แปล: Doorbell]",
+  "ding-dong": "[ยังไม่แปล: Ding-Dong]",
+  "sliding_door": "[ยังไม่แปล: Sliding Door]",
+  "knock": "[ยังไม่แปล: Knock]",
+  "tap": "[ยังไม่แปล: Tap]",
+  "squeak": "[ยังไม่แปล: Squeak]",
+  "drawer_open_or_close": "[ยังไม่แปล: Drawer Open or Close]",
+  "cupboard_open_or_close": "[ยังไม่แปล: Cupboard Open or Close]",
+  "dishes": "[ยังไม่แปล: Dishes]",
+  "cutlery": "[ยังไม่แปล: Cutlery]",
+  "chopping": "[ยังไม่แปล: Chopping]",
+  "frying": "[ยังไม่แปล: Frying]",
+  "microwave_oven": "[ยังไม่แปล: Microwave Oven]",
+  "blender": "เครื่องปั่น",
+  "water_tap": "[ยังไม่แปล: Water Tap]",
+  "sink": "อ่างล้างจาน",
+  "bathtub": "[ยังไม่แปล: Bathtub]",
+  "hair_dryer": "ไดร์เป่าผม",
+  "toilet_flush": "[ยังไม่แปล: Toilet Flush]",
+  "toothbrush": "แปรงสีฟัน",
+  "electric_toothbrush": "[ยังไม่แปล: Electric Toothbrush]",
+  "vacuum_cleaner": "[ยังไม่แปล: Vacuum Cleaner]",
+  "zipper": "[ยังไม่แปล: Zipper]",
+  "keys_jangling": "[ยังไม่แปล: Keys Jangling]",
+  "coin": "[ยังไม่แปล: Coin]",
+  "scissors": "กรรไกร",
+  "electric_shaver": "[ยังไม่แปล: Electric Shaver]",
+  "shuffling_cards": "[ยังไม่แปล: Shuffling Cards]",
+  "typing": "[ยังไม่แปล: Typing]",
+  "typewriter": "[ยังไม่แปล: Typewriter]",
+  "writing": "[ยังไม่แปล: Writing]",
+  "alarm": "[ยังไม่แปล: Alarm]",
+  "ringtone": "[ยังไม่แปล: Ringtone]",
+  "telephone": "[ยังไม่แปล: Telephone]",
+  "telephone_bell_ringing": "[ยังไม่แปล: Telephone Bell Ringing]",
+  "telephone_dialing": "[ยังไม่แปล: Telephone Dialing]",
+  "dial_tone": "[ยังไม่แปล: Dial Tone]",
+  "busy_signal": "[ยังไม่แปล: Busy Signal]",
+  "alarm_clock": "[ยังไม่แปล: Alarm Clock]",
+  "siren": "[ยังไม่แปล: Siren]",
+  "civil_defense_siren": "[ยังไม่แปล: Civil Defense Siren]",
+  "buzzer": "[ยังไม่แปล: Buzzer]",
+  "smoke_detector": "[ยังไม่แปล: Smoke Detector]",
+  "fire_alarm": "[ยังไม่แปล: Fire Alarm]",
+  "foghorn": "[ยังไม่แปล: Foghorn]",
+  "whistle": "[ยังไม่แปล: Whistle]",
+  "steam_whistle": "[ยังไม่แปล: Steam Whistle]",
+  "mechanisms": "[ยังไม่แปล: Mechanisms]",
+  "ratchet": "[ยังไม่แปล: Ratchet]",
+  "clock": "นาฬิกา",
+  "tick": "[ยังไม่แปล: Tick]",
+  "tick-tock": "[ยังไม่แปล: Tick-Tock]",
+  "gears": "[ยังไม่แปล: Gears]",
+  "pulleys": "[ยังไม่แปล: Pulleys]",
+  "sewing_machine": "[ยังไม่แปล: Sewing Machine]",
+  "mechanical_fan": "[ยังไม่แปล: Mechanical Fan]",
+  "air_conditioning": "[ยังไม่แปล: Air Conditioning]",
+  "cash_register": "[ยังไม่แปล: Cash Register]",
+  "printer": "[ยังไม่แปล: Printer]",
+  "camera": "กล้อง",
+  "single-lens_reflex_camera": "[ยังไม่แปล: Single-Lens Reflex Camera]",
+  "tools": "[ยังไม่แปล: Tools]",
+  "hammer": "[ยังไม่แปล: Hammer]",
+  "sawing": "[ยังไม่แปล: Sawing]",
+  "jackhammer": "[ยังไม่แปล: Jackhammer]",
+  "filing": "[ยังไม่แปล: Filing]",
+  "sanding": "[ยังไม่แปล: Sanding]",
+  "power_tool": "[ยังไม่แปล: Power Tool]",
+  "drill": "[ยังไม่แปล: Drill]",
+  "explosion": "[ยังไม่แปล: Explosion]",
+  "gunshot": "[ยังไม่แปล: Gunshot]",
+  "machine_gun": "[ยังไม่แปล: Machine Gun]",
+  "fusillade": "[ยังไม่แปล: Fusillade]",
+  "artillery_fire": "[ยังไม่แปล: Artillery Fire]",
+  "cap_gun": "[ยังไม่แปล: Cap Gun]",
+  "fireworks": "[ยังไม่แปล: Fireworks]",
+  "firecracker": "[ยังไม่แปล: Firecracker]",
+  "burst": "[ยังไม่แปล: Burst]",
+  "eruption": "[ยังไม่แปล: Eruption]",
+  "boom": "[ยังไม่แปล: Boom]",
+  "wood": "[ยังไม่แปล: Wood]",
+  "chop": "[ยังไม่แปล: Chop]",
+  "splinter": "[ยังไม่แปล: Splinter]",
+  "crack": "[ยังไม่แปล: Crack]",
+  "glass": "[ยังไม่แปล: Glass]",
+  "chink": "[ยังไม่แปล: Chink]",
+  "shatter": "[ยังไม่แปล: Shatter]",
+  "silence": "[ยังไม่แปล: Silence]",
+  "sound_effect": "[ยังไม่แปล: Sound Effect]",
+  "environmental_noise": "[ยังไม่แปล: Environmental Noise]",
+  "static": "[ยังไม่แปล: Static]",
+  "white_noise": "[ยังไม่แปล: White Noise]",
+  "pink_noise": "[ยังไม่แปล: Pink Noise]",
+  "television": "[ยังไม่แปล: Television]"
+}
diff --git a/web/public/locales/th/common.json b/web/public/locales/th/common.json
new file mode 100644
index 000000000..c7044976d
--- /dev/null
+++ b/web/public/locales/th/common.json
@@ -0,0 +1,250 @@
+{
+  "time": {
+    "today": "วันนี้",
+    "justNow": "ตอนนี้",
+    "yesterday": "เมื่อวาน",
+    "lastWeek": "สัปดาห์ที่แล้ว",
+    "untilForRestart": "จนกว่า Frigate รีสตาร์ท.",
+    "untilRestart": "จนกว่า รีสตาร์ท",
+    "ago": "{{timeAgo}} ที่แล้ว",
+    "last7": "7 วันที่แล้ว",
+    "last14": "14 วันที่แล้ว",
+    "last30": "30 วันที่แล้ว",
+    "thisWeek": "สัปดาห์นี้",
+    "untilForTime": "จนกว่า {{time}}",
+    "thisMonth": "เดือนนี้",
+    "lastMonth": "เดือนที่แล้ว",
+    "5minutes": "5 นาที",
+    "30minutes": "30 นาที",
+    "12hours": "12 ชั่วโมง",
+    "10minutes": "10 นาที",
+    "1hour": "1 ชั่วโมง",
+    "24hours": "24 ชั่วโมง",
+    "pm": "หลังเที่ยง",
+    "year_other": "{{time}} ปี",
+    "month_other": "{{time}} เดือน",
+    "day_other": "{{time}} วัน",
+    "h": "{{time}} ชั่วโมง",
+    "hour_other": "{{time}} ชั่วโมง",
+    "m": "{{time}} นาที",
+    "s": "{{time}} วินาที",
+    "mo": "{{time}} เดือน",
+    "minute_other": "{{time}} นาที",
+    "am": "ก่อนเที่ยง",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "yr": "{{time}} ปี",
+    "d": "{{time}} วัน",
+    "second_other": "{{time}} วินาที",
+    "formattedTimestampMonthDayYear": {
+      "24hour": "MMM d, yyyy",
+      "12hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "h:mm:ss aaa"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDay": "MMM d"
+  },
+  "label": {
+    "back": "ย้อนกลับ"
+  },
+  "button": {
+    "apply": "ใช้งาน",
+    "reset": "รีเซ็ต",
+    "done": "เรียบร้อย",
+    "enabled": "เปิดใช้งานแล้ว",
+    "enable": "เปิดใช้งาน",
+    "disable": "ปิดใช้งาน",
+    "disabled": "ปิดใช้งานแล้ว",
+    "save": "บันทึก",
+    "saving": "กำลังบันทึก…",
+    "cancel": "ยกเลิก",
+    "close": "ปิด",
+    "copy": "คัดลอก",
+    "back": "กลับ",
+    "history": "ประวัติ",
+    "fullscreen": "เต็มจอ",
+    "exitFullscreen": "ออกเต็มจอ",
+    "pictureInPicture": "ภาพซ้อนภาพ",
+    "cameraAudio": "เสียงกล้อง",
+    "on": "เปิด",
+    "off": "ปิด",
+    "edit": "แก้ไข",
+    "delete": "ลบ",
+    "yes": "ใช่",
+    "no": "ไม่",
+    "download": "ดาวน์โหลด",
+    "info": "ข้อมูล",
+    "play": "เล่น",
+    "unselect": "ไม่ได้เลือก",
+    "export": "ส่งออก",
+    "deleteNow": "ลบตอนนี้",
+    "next": "ต่อไป",
+    "twoWayTalk": "พูดคุยสองทาง",
+    "copyCoordinates": "คัดลอกพิกัด",
+    "suspended": "ถูกระงับ",
+    "unsuspended": "ยกเลิกถูกระงับ"
+  },
+  "menu": {
+    "restart": "รีสตาร์ท Frigate",
+    "user": {
+      "logout": "ออกจากระบบ",
+      "title": "ผู้ใช้",
+      "account": "บัญชี",
+      "current": "ผู้ใช้ปัจจุบัน: {{user}}",
+      "anonymous": "ไม่ระบุตัวตน",
+      "setPassword": "ตั้งรหัสผ่าน"
+    },
+    "live": {
+      "cameras": {
+        "count_other": "{{count}} กล้อง",
+        "title": "กล้อง"
+      },
+      "title": "สด",
+      "allCameras": "กล้องทั้งหมด"
+    },
+    "configurationEditor": "ตัวแก้ไขการกำหนดค่า",
+    "export": "ส่งออก",
+    "system": "ระบบ",
+    "configuration": "การกำหนดค่า",
+    "systemLogs": "บันทึกระบบ",
+    "settings": "ตั้งค่า",
+    "languages": "ภาษา",
+    "language": {
+      "withSystem": {
+        "label": "ใช้ภาษาของระบบ"
+      },
+      "en": "English (อังกฤษ)",
+      "zhCN": "简体中文 (ภาษาจีนตัวย่อ)",
+      "hi": "हिन्दी (ฮินดี)",
+      "fr": "Français (ฝรั่งเศส)",
+      "ar": "العربية (อาหรับ)",
+      "pt": "Português (โปรตุเกส)",
+      "ru": "Русский (รัสเซีย)",
+      "de": "Deutsch (เยอรมัน)",
+      "ja": "日本語 (ญี่ปุ่น)",
+      "tr": "Türkçe (ตุรกี)",
+      "it": "Italiano (อิตาเลียน)",
+      "nl": "Nederlands (ดัตช์)",
+      "sv": "Svenska (สวีเดน)",
+      "cs": "Čeština (เช็ก)",
+      "nb": "Norsk Bokmål (นอร์เวย์ บ็อกมอล)",
+      "ko": "한국어 (เกาหลี)",
+      "fa": "فارسی (เปอร์เซีย)",
+      "he": "עברית (ฮีบรู)",
+      "el": "Ελληνικά (กรีก)",
+      "ro": "Română (โรมาเนีย)",
+      "hu": "Magyar (ฮังการี)",
+      "fi": "Suomi (ฟินแลนด์)",
+      "da": "Dansk (เดนมาร์ก)",
+      "es": "Español (สเปน)",
+      "sk": "Slovenčina (สโลวัก)",
+      "uk": "Українська (ยูเครน)",
+      "vi": "Tiếng Việt (เวียดนาม)",
+      "yue": "粵語 (กวางตุ้ง)",
+      "pl": "Polski (ขัด)",
+      "th": "ไทย (ไทย)"
+    },
+    "darkMode": {
+      "label": "โหมดมืด",
+      "light": "สว่าง",
+      "dark": "มืด",
+      "withSystem": {
+        "label": "ใช้ของระบบสำหรับโหมดสว่างหรือมืด"
+      }
+    },
+    "withSystem": "ระบบ",
+    "theme": {
+      "label": "ธีม",
+      "blue": "น้ำเงิน",
+      "green": "เขียว",
+      "red": "แดง",
+      "highcontrast": "คอนทราสต์สูง",
+      "default": "เริ่มต้น",
+      "nord": "ฟ้า"
+    },
+    "review": "รีวิว",
+    "explore": "สำรวจ",
+    "uiPlayground": "UI สนามเด็กเล่น",
+    "faceLibrary": "ที่เก็บหน้า",
+    "help": "ช่วยเหลือ",
+    "documentation": {
+      "title": "เอกสาร",
+      "label": "เอกสาร Frigate"
+    },
+    "systemMetrics": "ตัวชี้วัดของระบบ",
+    "appearance": "หน้าตา"
+  },
+  "role": {
+    "viewer": "ผู้ชม",
+    "title": "บทบาท",
+    "admin": "ผู้ดูแล",
+    "desc": "ผู้ดูแลสามารถเข้าถึงระบบได้ทั้งหมดใน UI Frigate. ผู้ชมสามารถทำได้แค่ ดูกล้อง, ดูรีวิว, และ ประวัติคลิปใน UI."
+  },
+  "toast": {
+    "save": {
+      "error": {
+        "noMessage": "มีข้อผิดพลาดในการกำหนดค่า",
+        "title": "ผิดพลาดในการบันทึกการกำหนดค่า: {{errorMessage}}"
+      },
+      "title": "บันทึก"
+    },
+    "copyUrlToClipboard": "คัดลอก URL ใส่ คลิปบอร์ดแล้ว"
+  },
+  "pagination": {
+    "previous": {
+      "title": "ก่อนหน้า",
+      "label": "ไปหน้าที่แล้ว"
+    },
+    "next": {
+      "title": "ต่อไป",
+      "label": "ไปหน้าต่อไป"
+    },
+    "more": "หน้าเพิ่มเติม",
+    "label": "แบ่งหน้า"
+  },
+  "accessDenied": {
+    "documentTitle": "ไม่สามารถเข้าถึงได้ - Frigate",
+    "title": "ไม่สามารถเข้าถึงได้",
+    "desc": "คุณไม่มีสิทธิ์ในการเข้าถึงหน้านี้"
+  },
+  "notFound": {
+    "documentTitle": "ไม่พบ - Frigate",
+    "desc": "ไม่พบหน้านี้",
+    "title": "๔๐๔"
+  },
+  "selectItem": "เลือก {{item}}",
+  "unit": {
+    "speed": {
+      "mph": "ไมล์ต่อชั่วโมง",
+      "kph": "กิโลเมตรต่อชั่วโมง"
+    },
+    "length": {
+      "feet": "ฟุต",
+      "meters": "เมตร"
+    }
+  }
+}
diff --git a/web/public/locales/th/components/auth.json b/web/public/locales/th/components/auth.json
new file mode 100644
index 000000000..7a24ffef7
--- /dev/null
+++ b/web/public/locales/th/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "ชื่อผู้ใช้",
+    "errors": {
+      "webUnknownError": "ข้อผิดพลาดที่ไม่รู้จัก. ตรวจสอบที่ console logs.",
+      "rateLimit": "เกินขีดจำกัด. โปรดลองอีกครั้งในภายหลัง.",
+      "loginFailed": "ล็อกอินไม่สำเร็จ",
+      "unknownError": "ข้อผิดพลาดที่ไม่รู้จัก. ตรวจสอบที่ logs.",
+      "passwordRequired": "ต้องการรหัสผ่าน",
+      "usernameRequired": "ต้องการชื่อผู้ใช้"
+    },
+    "login": "ล็อกอิน",
+    "password": "รหัสผ่าน"
+  }
+}
diff --git a/web/public/locales/th/components/camera.json b/web/public/locales/th/components/camera.json
new file mode 100644
index 000000000..3be4d7902
--- /dev/null
+++ b/web/public/locales/th/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "camera": {
+      "setting": {
+        "title": "{{cameraName}} ตั้งค่าการสตรีมมิ่ง",
+        "audioIsAvailable": "เสียงสามารถใช้งานได้ในสตรีมนี้",
+        "audioIsUnavailable": "เสียงไม่สามารถใช้ได้สําหรับสตรีมนี้",
+        "audio": {
+          "tips": {
+            "title": "เสียงต้องส่งออกจากกล้องของคุณและกําหนดค่าบน go2rtc สําหรับสตรีมนี้.",
+            "document": "อ่านเอกสาร "
+          }
+        },
+        "stream": "สตรีม",
+        "placeholder": "เลือกสตรีม",
+        "streamMethod": {
+          "label": "วิธีสตรีมมิ่ง",
+          "placeholder": "เลือกวิธีสตรีมมิ่ง",
+          "method": {
+            "noStreaming": {
+              "label": "ไม่มีการสตรีม",
+              "desc": "ภาพของกล้องจะอัปเดตนาทีต่อครั้งและไม่มีสตรีมสด."
+            },
+            "smartStreaming": {
+              "label": "สมาร์ทสตรีม (แนะนํา)",
+              "desc": "สมาร์ทสตรีมจะอัปเดตกล้องของคุณทุกหนึ่งนาทีเมื่อไม่มีการตรวจพบกิจกรรมที่เกิดขึ้นเพื่อรักษาแบนด์วิดท์และทรัพยากร. เมื่อมีการตรวจพบกิจกรรม, ภาพจะถูกเปลี่ยนเป็นสตรีมสด."
+            },
+            "continuousStreaming": {
+              "label": "สตรีมมิ่ง",
+              "desc": {
+                "title": "ภาพของกล้องจะแสดงตลอดเมื่ออยู่บนแดชบอร์ด, แม้ว่าไม่มีกิจกรรม.",
+                "warning": "สตรีมแบบต่อเนื่องอาจทําให้เกิดแบนด์วิดท์สูงและเกิดปัญหาประสิทธิภาพการทํางาน, โปรดใช้ความระมัดระวัง."
+              }
+            }
+          }
+        },
+        "desc": "เปลี่ยนตัวเลือกสตรีมสดสําหรับแผงควบคุมของกลุ่มกล้องนี้. <em>การตั้งค่าเหล่านั้นเฉพาะอุปกรณ์/เบราว์เซอร์</em>",
+        "compatibilityMode": {
+          "label": "โหมด",
+          "desc": "เปิดใช้งานตัวเลือกนี้เฉพาะเมื่อถ้ากล้องของคุณถ่ายทอดสดเป็นการแสดงสีแปลกๆและมีเส้นด้านข้าง."
+        },
+        "label": "การตั้งค่าสตรีมกล้อง"
+      }
+    },
+    "label": "กลุ่มกล้อง",
+    "add": "เพิ่มกลุ่มกล้อง",
+    "edit": "แก้ไขกลุ่มกล้อง",
+    "delete": {
+      "label": "ลบกลุ่มกล้อง",
+      "confirm": {
+        "title": "ยืนยันการลบ",
+        "desc": "คุณแน่ใจหรือไม่ว่าต้องการลบกลุ่มกล้อง <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "ชื่อ",
+      "placeholder": "ป้อนชื่อ…",
+      "errorMessage": {
+        "mustLeastCharacters": "ชื่อกลุ่มกล้องต้องมีอย่างน้อย 2 ตัวอักษร",
+        "exists": "ชื่อกลุ่มกล้องมีอยู่แล้ว",
+        "nameMustNotPeriod": "ชื่อกลุ่มกล้องต้องไม่มีจุด",
+        "invalid": "ชื่อกลุ่มกล้องไม่ถูกต้อง"
+      }
+    },
+    "cameras": {
+      "label": "กล้อง",
+      "desc": "เลือกกล้องสำหรับกลุ่มนี้"
+    },
+    "icon": "ไอคอน",
+    "success": "บันทึกกลุ่มกล้อง ({{name}}) เรียบร้อยแล้ว"
+  },
+  "debug": {
+    "options": {
+      "label": "การตั้งค่า",
+      "title": "ตัวเลือก",
+      "showOptions": "แสดงตัวเลือก",
+      "hideOptions": "ซ่อนไฟล์ตัวเลือก"
+    },
+    "boundingBox": "กรอบตรวจจับ",
+    "timestamp": "เวลาปัจจุบัน",
+    "zones": "โซน",
+    "mask": "หน้ากาก",
+    "motion": "การเคลื่อนไหว",
+    "regions": "พื้นที่"
+  }
+}
diff --git a/web/public/locales/th/components/dialog.json b/web/public/locales/th/components/dialog.json
new file mode 100644
index 000000000..d1a85ec0c
--- /dev/null
+++ b/web/public/locales/th/components/dialog.json
@@ -0,0 +1,105 @@
+{
+  "search": {
+    "saveSearch": {
+      "label": "บันทึกค้นหา",
+      "success": "ค้นหา {{searchName}} ถูกบันทึกเรียบร้อยแล้ว",
+      "desc": "ระบุชื่อสำหรับการค้นหาบันทึกนี้",
+      "button": {
+        "save": {
+          "label": "บันทึกการค้นหานี้"
+        }
+      },
+      "overwrite": "{{searchName}} มีอยู่แล้ว. การบันทึกจะทำการทับของเดิมลงไป.",
+      "placeholder": "ใส่ชื่อสําหรับการค้นหาของคุณ"
+    }
+  },
+  "export": {
+    "fromTimeline": {
+      "saveExport": "บันทึกส่งออก",
+      "previewExport": "ตัวอย่างส่งออก"
+    },
+    "toast": {
+      "error": {
+        "endTimeMustAfterStartTime": "เวลาสิ้นสุดต้องอยู่หลังเวลาเริ่มต้น",
+        "noVaildTimeSelected": "ไม่ได้เลือกช่วงเวลาที่ถูกต้อง",
+        "failed": "เริ่มต้นการส่งออกผิดพลาด: {{error}}"
+      },
+      "success": "เริ่มต้นการส่งออก ดูไฟล์ในโฟลเดอร์ /exports."
+    },
+    "time": {
+      "fromTimeline": "เลือกจากเวลา",
+      "lastHour_other": "ก่อนหน้านี้ {{count}} ชั่วโมง",
+      "custom": "กําหนดเอง",
+      "start": {
+        "title": "เวลาเริ่มต้น",
+        "label": "เลือกเวลาเริ่มต้น"
+      },
+      "end": {
+        "title": "เวลาสิ้นสุด",
+        "label": "เลือกเวลาสิ้นสุด"
+      }
+    },
+    "name": {
+      "placeholder": "ชื่อส่งออก"
+    },
+    "select": "เลือก",
+    "export": "ส่งออก",
+    "selectOrExport": "เลือกหรือส่งออก"
+  },
+  "restart": {
+    "restarting": {
+      "button": "โหลดหน้าใหม่ตอนนี้",
+      "title": "Frigate กำลังรีสตาร์ท",
+      "content": "หน้านี้จะถูกโหลดในอีก {{countdown}} วินาที."
+    },
+    "title": "คุณแน่ใจหรือว่าต้องการรีสตาร์ท Frigate?",
+    "button": "รีสตาร์ท"
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "ask_full": "วัตถุนี้คือ <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?",
+          "label": "ยืนยันหมวดหมู่นี้สําหรับ Frigate+",
+          "ask_a": "วัตถุนี้คือ <code>{{label}}</code>?",
+          "ask_an": "วัตถุนี้คือ <code>{{label}}</code>?"
+        },
+        "state": {
+          "submitted": "ส่งเรียบร้อย"
+        }
+      },
+      "submitToPlus": {
+        "label": "ส่งไปยัง Frigate+"
+      }
+    },
+    "video": {
+      "viewInHistory": "ดูประวัติ"
+    }
+  },
+  "recording": {
+    "button": {
+      "deleteNow": "ลบตอนนี้",
+      "export": "ส่งออก",
+      "markAsReviewed": "ทำเครื่องหมายว่ารีวิวแล้ว"
+    },
+    "confirmDelete": {
+      "title": "ยืนยันการลบ",
+      "toast": {
+        "error": "ลบไม่ได้: {{error}}"
+      }
+    }
+  },
+  "streaming": {
+    "label": "สตรีม",
+    "restreaming": {
+      "disabled": "รีสตรีมไม่ได้เปิดใช้งานสําหรับกล้องนี้.",
+      "desc": {
+        "readTheDocumentation": "อ่านเอกสาร"
+      }
+    },
+    "showStats": {
+      "label": "แสดงสถานะสตรีม",
+      "desc": "เปิดใช้งานตัวเลือกนี้เพื่อจะแสดงสถิติในกล้อง."
+    }
+  }
+}
diff --git a/web/public/locales/th/components/filter.json b/web/public/locales/th/components/filter.json
new file mode 100644
index 000000000..aea9fc5a7
--- /dev/null
+++ b/web/public/locales/th/components/filter.json
@@ -0,0 +1,86 @@
+{
+  "filter": "กรอง",
+  "zones": {
+    "label": "โซน",
+    "all": {
+      "title": "โซนทั้งหมด",
+      "short": "โซน"
+    }
+  },
+  "dates": {
+    "selectPreset": "เลือกค่าที่ตั้งไว้…",
+    "all": {
+      "title": "วันที่ทั้งหมด",
+      "short": "วันที่"
+    }
+  },
+  "more": "ตัวกรองเพิ่มเติม",
+  "reset": {
+    "label": "รีเซ็ตตัวกรองเป็นค่าเริ่มต้น"
+  },
+  "timeRange": "ช่วงเวลา",
+  "score": "คะแนน",
+  "estimatedSpeed": "ความเร็วโดยประมาณ {{unit}}",
+  "features": {
+    "label": "คุณสมบัติ",
+    "submittedToFrigatePlus": {
+      "label": "ส่งไปยัง Frigate+",
+      "tips": "คุณต้องกรองครั้งแรกบนวัตถุที่มีภาพ. <br /><br /> วัตถุที่ไม่มีภาพไม่สามารถส่งออกได้."
+    },
+    "hasSnapshot": "มีภาพ",
+    "hasVideoClip": "มีวิดีโอ"
+  },
+  "sort": {
+    "label": "เรียง",
+    "dateAsc": "วันที่ (จากน้อยไปมาก)",
+    "scoreDesc": "คะแนน วัตถุ (จากมากไปน้อย)",
+    "speedDesc": "ความเร็วโดยประมาณ (จากมากไปน้อย)",
+    "relevance": "สอดคล้อง",
+    "scoreAsc": "คะแนน วัตถุ (จากน้อยไปมาก)",
+    "speedAsc": "ความเร็วโดยประมาณ (จากน้อยไปมาก)",
+    "dateDesc": "วันที่ (จากมากไปน้อย)"
+  },
+  "subLabels": {
+    "all": "หมวดหมู่ย่อยทั้งหมด",
+    "label": "หมวดหมู่ย่อย"
+  },
+  "labels": {
+    "all": {
+      "title": "หมวดหมู่ทั้งหมด",
+      "short": "หมวดหมู่"
+    },
+    "count_other": "{{count}} หมวดหมู่",
+    "count_one": "{{count}} หมวดหมู่"
+  },
+  "cameras": {
+    "all": {
+      "short": "กล้อง",
+      "title": "กล้องทั้งหมด"
+    },
+    "label": "กรองกล้อง"
+  },
+  "review": {
+    "showReviewed": "แสดงที่รีวิวแล้ว"
+  },
+  "motion": {
+    "showMotionOnly": "แสดงเฉพาะการเคลื่อนไหวเท่านั้น"
+  },
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "summary": "สรุป",
+        "unfilteredGrid": "ตารางที่ไม่ได้กรอง",
+        "title": "มุมเริ่มต้น",
+        "desc": "เมื่อไม่มีตัวกรอง, แสดงสรุปวัตถุล่าสุดหรือแสดงตารางที่ไม่ได้กรอง."
+      },
+      "gridColumns": {
+        "title": "ตารางคอลัมน์",
+        "desc": "เลือกจำนวนคอลัมน์ในตาราง."
+      },
+      "searchSource": {
+        "label": "ค้นหาแหล่ง"
+      },
+      "title": "การตั้งค่า"
+    }
+  }
+}
diff --git a/web/public/locales/th/components/icons.json b/web/public/locales/th/components/icons.json
new file mode 100644
index 000000000..e224c8892
--- /dev/null
+++ b/web/public/locales/th/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "เลือกไอคอน",
+    "search": {
+      "placeholder": "ค้นหาไอคอน"
+    }
+  }
+}
diff --git a/web/public/locales/th/components/input.json b/web/public/locales/th/components/input.json
new file mode 100644
index 000000000..ad2edd2e5
--- /dev/null
+++ b/web/public/locales/th/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "ดาวน์โหลดวิดีโอ",
+      "toast": {
+        "success": "วิดีโอรายการรีวิวของคุณเริ่มดาวน์โหลดแล้ว."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/th/components/player.json b/web/public/locales/th/components/player.json
new file mode 100644
index 000000000..03e5a1a4a
--- /dev/null
+++ b/web/public/locales/th/components/player.json
@@ -0,0 +1,51 @@
+{
+  "streamOffline": {
+    "desc": "ไม่ได้รับเฟรมบน {{cameraName}} สตรีม <code>detect</code>, ตรวจสอบ error logs",
+    "title": "สตรีมออฟไลน์"
+  },
+  "noPreviewFound": "ไม่พบตัวอย่าง",
+  "submitFrigatePlus": {
+    "title": "ส่งเฟรมนี้ให้ Frigate+ ไหม?",
+    "submit": "ส่ง"
+  },
+  "livePlayerRequiredIOSVersion": "ต้องใช้ iOS 17.1 ขึ้นไปสำหรับประเภทสตรีมสดนี้",
+  "cameraDisabled": "กล้องถูกปิดใช้งาน",
+  "stats": {
+    "streamType": {
+      "title": "ประเภทสตรีม:",
+      "short": "ประเภท"
+    },
+    "latency": {
+      "title": "ความหน่วง:",
+      "value": "{{seconds}} วินาที",
+      "short": {
+        "title": "ความหน่วง",
+        "value": "{{seconds}} วิ"
+      }
+    },
+    "totalFrames": "จำนวนเฟรมทั้งหมด:",
+    "droppedFrames": {
+      "short": {
+        "title": "หายไป",
+        "value": "{{droppedFrames}} เฟรม"
+      },
+      "title": "เฟรมที่หาย:"
+    },
+    "decodedFrames": "เฟรมถูกถอดรหัส:",
+    "droppedFrameRate": "อัตราเฟรมที่หายไป:",
+    "bandwidth": {
+      "title": "แบนด์วิธ:",
+      "short": "แบนด์วิธ"
+    }
+  },
+  "toast": {
+    "error": {
+      "submitFrigatePlusFailed": "ไม่สามารถส่งเฟรมไปยัง Frigate+ ได้"
+    },
+    "success": {
+      "submittedFrigatePlus": "ส่งเฟรมให้ Frigate+ เรียบร้อยแล้ว"
+    }
+  },
+  "noRecordingsFoundForThisTime": "ไม่เจอการบันทึกในช่วงเวลานี้",
+  "noPreviewFoundFor": "ไม่พบตัวอย่างสำหรับ {{cameraName}}"
+}
diff --git a/web/public/locales/th/objects.json b/web/public/locales/th/objects.json
new file mode 100644
index 000000000..8d3130d0d
--- /dev/null
+++ b/web/public/locales/th/objects.json
@@ -0,0 +1,118 @@
+{
+  "traffic_light": "สัญญาณไฟจราจร",
+  "hair_dryer": "ไดร์เป่าผม",
+  "skateboard": "สเก็ตบอร์ด",
+  "fire_hydrant": "หัวดับเพลิง",
+  "bicycle": "จักรยาน",
+  "person": "คน",
+  "car": "รถยนต์",
+  "motorcycle": "มอเตอร์ไซค์",
+  "airplane": "เครื่องบิน",
+  "bus": "รถประจำทาง",
+  "train": "รถไฟ",
+  "cat": "แมว",
+  "horse": "ม้า",
+  "bird": "นก",
+  "boat": "เรือ",
+  "bench": "ม้านั่ง",
+  "dog": "สุนัข",
+  "parking_meter": "มิเตอร์จอดรถ",
+  "sheep": "แกะ",
+  "eye_glasses": "แว่นตา",
+  "sports_ball": "ลูกบอลกีฬา",
+  "baseball_bat": "ไม้เบสบอล",
+  "baseball_glove": "ถุงมือเบสบอล",
+  "tennis_racket": "ไม้เทนนิส",
+  "wine_glass": "แก้วไวน์",
+  "vehicle": "ยานพาหนะ",
+  "clock": "นาฬิกา",
+  "knife": "มีด",
+  "bowl": "ชาม",
+  "hot_dog": "ฮอทดอก",
+  "potted_plant": "ต้นไม้ในกระถาง",
+  "dining_table": "โต๊ะกินอาหาร",
+  "tv": "ทีวิ",
+  "teddy_bear": "ตุ๊กตาหมี",
+  "hair_brush": "แปรงหวีผม",
+  "squirrel": "กระรอก",
+  "deer": "กวาง",
+  "face": "ใบหน้า",
+  "robot_lawnmower": "หุ่นยนต์ตัดหญ้า",
+  "waste_bin": "ถังขยะ",
+  "license_plate": "ป้ายทะเบียนรถ",
+  "amazon": "อเมซอน",
+  "usps": "ไปรษณีย์สหรัฐ",
+  "stop_sign": "ป้ายหยุด",
+  "street_sign": "ป้ายถนน",
+  "cow": "วัว",
+  "elephant": "ช้าง",
+  "bear": "หมี",
+  "zebra": "ยีราฟ",
+  "giraffe": "จระเข้น้ำ",
+  "hat": "หมวก",
+  "backpack": "กระเป๋าเป้",
+  "umbrella": "ร่ม",
+  "shoe": "รองเท้า",
+  "handbag": "กระเป๋าถือ",
+  "mouse": "เมาส์",
+  "tie": "เนคไท",
+  "suitcase": "กระเป๋าเดินทาง",
+  "frisbee": "ดิสก์",
+  "skis": "สกี",
+  "snowboard": "สโนบอร์ด",
+  "kite": "ดอกกระดาษ",
+  "surfboard": "บอร์ดโต้คลื่น",
+  "bottle": "ขวด",
+  "plate": "จาน",
+  "cup": "ถ้วย",
+  "fork": "ส้อม",
+  "spoon": "ช้อน",
+  "banana": "กล้วย",
+  "apple": "แอปเปิล",
+  "sandwich": "แซนวิช",
+  "orange": "ส้ม",
+  "broccoli": "บรอกโคลี",
+  "carrot": "แครอท",
+  "pizza": "พิซซ่า",
+  "donut": "โดนัท",
+  "cake": "เค้ก",
+  "chair": "เก้าอี้",
+  "couch": "โซฟา",
+  "bed": "เตียง",
+  "mirror": "กระจก",
+  "window": "หน้าต่าง",
+  "desk": "โต๊ะทำงาน",
+  "toilet": "ห้องน้ำ",
+  "door": "ประตู",
+  "laptop": "แล็ปท็อป",
+  "remote": "รีโมท",
+  "oven": "เตาอบ",
+  "keyboard": "คีย์บอร์ด",
+  "microwave": "ไมโครเวฟ",
+  "toaster": "เครื่องทำขนมปัง",
+  "sink": "อ่างล้างจาน",
+  "refrigerator": "ตู้เย็น",
+  "blender": "เครื่องปั่น",
+  "book": "หนังสือ",
+  "vase": "แจกัน",
+  "scissors": "กรรไกร",
+  "toothbrush": "แปรงสีฟัน",
+  "animal": "สัตว์",
+  "bark": "เสียงหอบ",
+  "fox": "สุนัขจิ้งจอก",
+  "goat": "แพะ",
+  "rabbit": "กระต่าย",
+  "raccoon": "กระรอกน้ำ",
+  "package": "พัสดุ",
+  "purolator": "เพรูเลตอร์",
+  "bbq_grill": "เตาบาร์บีคิว",
+  "cell_phone": "โทรศัพท์มือถือ",
+  "ups": "UPS",
+  "dhl": "DHL",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "postnord": "PostNord",
+  "nzpost": "NZPost",
+  "fedex": "FedEx",
+  "postnl": "PostNL"
+}
diff --git a/web/public/locales/th/views/configEditor.json b/web/public/locales/th/views/configEditor.json
new file mode 100644
index 000000000..d44ae391b
--- /dev/null
+++ b/web/public/locales/th/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "copyConfig": "คัดลอกการกำหนดค่า",
+  "saveOnly": "บันทึกเท่านั้น",
+  "confirm": "ออกโดยที่ไม่บันทึก?",
+  "toast": {
+    "error": {
+      "savingError": "เกิดข้อผิดพลาดในการบันทึกการกำหนดค่า"
+    },
+    "success": {
+      "copyToClipboard": "คัดลอกการกำหนดค่าไปยังคลิปบอร์ดแล้ว."
+    }
+  },
+  "saveAndRestart": "บันทึก และ รีสตาร์ท",
+  "documentTitle": "ตัวแก้ไขการกำหนดค่า - Frigate",
+  "configEditor": "ตัวแก้ไขการกำหนดค่า"
+}
diff --git a/web/public/locales/th/views/events.json b/web/public/locales/th/views/events.json
new file mode 100644
index 000000000..f303ea6b3
--- /dev/null
+++ b/web/public/locales/th/views/events.json
@@ -0,0 +1,38 @@
+{
+  "motion": {
+    "label": "เคลื่อนไหว",
+    "only": "เคลื่อนไหวเท่านั้น"
+  },
+  "allCameras": "กล้องทั้งหมด",
+  "empty": {
+    "detection": "ไม่มีการเคลื่อนไหวให้รีวิว",
+    "motion": "ไม่เจอข้อมูลการเคลื่อนไหว",
+    "alert": "ไม่มีการแจ้งเตือนให้รีวิว"
+  },
+  "events": {
+    "label": "กิจกรรม",
+    "aria": "เลือกกิจกรรม",
+    "noFoundForTimePeriod": "ไม่เจอกิจกรรมในช่วงเวลานี้"
+  },
+  "recordings": {
+    "documentTitle": "การบันทึก - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "24 ชั่วโมงล่าสุด"
+  },
+  "markAsReviewed": "ทำเครื่องหมายว่ารีวิวแล้ว",
+  "newReviewItems": {
+    "button": "รายการใหม่ที่จะรีวิว",
+    "label": "ดูรายการรีวิวใหม่"
+  },
+  "selected_other": "เลือก {{count}} แล้ว",
+  "camera": "กล้อง",
+  "detected": "ตรวจพบ",
+  "timeline": "ไทม์ไลน์",
+  "markTheseItemsAsReviewed": "ทำเครื่องหมายรายการเหล่านี้ว่าได้รับการรีวิวแล้ว",
+  "alerts": "การแจ้งเตือน",
+  "detections": "การตรวจจับ",
+  "selected_one": "เลือก {{count}} แล้ว",
+  "timeline.aria": "เลือกไทม์ไลน์",
+  "documentTitle": "รีวิว - Frigate"
+}
diff --git a/web/public/locales/th/views/explore.json b/web/public/locales/th/views/explore.json
new file mode 100644
index 000000000..b74d29e78
--- /dev/null
+++ b/web/public/locales/th/views/explore.json
@@ -0,0 +1,32 @@
+{
+  "documentTitle": "สํารวจ - Frigate",
+  "generativeAI": "AI",
+  "exploreMore": "สํารวจวัตถุ {{label}} เพิ่มเติม",
+  "exploreIsUnavailable": {
+    "title": "สํารวจไม่มีให้ใช้งาน",
+    "embeddingsReindexing": {
+      "context": "สํารวจสามารถใช้หลังจากติดตามวัตถุเสร็จ.",
+      "startingUp": "เริ่มต้น…",
+      "estimatedTime": "ระยะเวลาโดยประมาณ:",
+      "finishingShortly": "เสร็จเร็วๆนี้"
+    },
+    "downloadingModels": {
+      "tips": {
+        "documentation": "อ่านเอกสาร"
+      }
+    }
+  },
+  "type": {
+    "details": "รายละเอียด",
+    "video": "วิดีโอ"
+  },
+  "objectLifecycle": {
+    "noImageFound": "ไม่มีภาพสําหรับช่วงเวลานี้.",
+    "annotationSettings": {
+      "offset": {
+        "documentation": "อ่านเอกสาร "
+      }
+    }
+  },
+  "trackedObjectsCount_other": "{{count}} วัตถุที่เจอ "
+}
diff --git a/web/public/locales/th/views/exports.json b/web/public/locales/th/views/exports.json
new file mode 100644
index 000000000..698c6f82b
--- /dev/null
+++ b/web/public/locales/th/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "ส่งออก - Frigate",
+  "search": "ค้นหา",
+  "noExports": "ไม่เจอการส่งออก",
+  "deleteExport": "ลบส่งออก",
+  "deleteExport.desc": "คุณแน่ใจหรอที่จะลบ {{exportName}}?",
+  "editExport": {
+    "title": "แก้ชื่อส่งออก",
+    "desc": "ใส่ชื่อใหม่สำหรับการส่งออกนี้",
+    "saveExport": "บันทึกการส่งออก"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "ผิดพลาดในการแก้ไขชื่อการส่งออก: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/th/views/faceLibrary.json b/web/public/locales/th/views/faceLibrary.json
new file mode 100644
index 000000000..4372d09b5
--- /dev/null
+++ b/web/public/locales/th/views/faceLibrary.json
@@ -0,0 +1,56 @@
+{
+  "details": {
+    "person": "คน",
+    "subLabelScore": "คะแนน Sub Label",
+    "unknown": "ไม่รู้"
+  },
+  "steps": {
+    "faceName": "ใส่ชื่อหน้า",
+    "uploadFace": "ใส่รูปหน้า",
+    "nextSteps": "ต่อไป",
+    "description": {
+      "uploadFace": "อัพโหลดภาพ {{name}} ที่แสดงให้เห็นใบหน้าของเขาจากมุมข้างหน้า. รูปภาพไม่จําเป็นต้องตัดให้เห็นเฉพาะใบหน้าของเขา."
+    }
+  },
+  "selectFace": "เลือกหน้า",
+  "deleteFaceLibrary": {
+    "title": "ลบชื่อ",
+    "desc": "คุณแน่ใจหรือไม่ว่าต้องการลบคอลเลกชัน {{name}}? การลบนี้จะเป็นการลบอย่างถาวร."
+  },
+  "deleteFaceAttempts": {
+    "title": "ลบหน้า"
+  },
+  "renameFace": {
+    "title": "เปลี่ยนชื่อหน้า",
+    "desc": "ใส่ชื่อใหม่สำหรับ {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "ลบหน้า",
+    "addFace": "เพิ่มหน้า",
+    "renameFace": "แก้ชื่อหน้า",
+    "deleteFace": "ลบหน้า",
+    "uploadImage": "อัปโหลดรูป",
+    "reprocessFace": "คำนวนหน้าใหม่"
+  },
+  "imageEntry": {
+    "dropActive": "ลากรูปลงที่นี้",
+    "dropInstructions": "ลากและวางภาพที่นี่, หรือคลิกเลือก"
+  },
+  "selectItem": "เลือก {{item}}",
+  "createFaceLibrary": {
+    "new": "สร้างหน้าใหม่",
+    "nextSteps": "สร้างรากฐานที่แข็งแรง:<li>ใช้แท็บฝึกเพื่อเลือกและฝึกบนภาพแต่ละบุคคล.</li><li>เน้นไปที่ภาพหน้าตรงเพื่อผลลัพธ์ที่ดีที่สุด; หลีกเลี่ยงภาพที่จับภาพใบหน้าแบบมุม</li></ul>"
+  },
+  "collections": "คอลเลกชัน",
+  "description": {
+    "addFace": "ทำตามวิธีการเพิ่มคอลเลกชันใหม่ไปยังที่เก็บหน้า.",
+    "placeholder": "ใส่ชื่อสําหรับคอลเลกชันนี้"
+  },
+  "toast": {
+    "success": {
+      "addFaceLibrary": "{{name}} เพิ่มลงที่เก็บหน้าเรียบร้อยแล้ว!",
+      "deletedName_other": "{{count}} หน้าถูกลบไปเรียบร้อยแล้ว."
+    }
+  },
+  "readTheDocs": "อ่านเอกสาร"
+}
diff --git a/web/public/locales/th/views/live.json b/web/public/locales/th/views/live.json
new file mode 100644
index 000000000..ccf620b84
--- /dev/null
+++ b/web/public/locales/th/views/live.json
@@ -0,0 +1,49 @@
+{
+  "stream": {
+    "playInBackground": {
+      "label": "เล่นในพื้นหลัง"
+    },
+    "audio": {
+      "tips": {
+        "documentation": "อ่านเอกสาร "
+      }
+    },
+    "twoWayTalk": {
+      "tips.documentation": "อ่านเอกสาร "
+    }
+  },
+  "documentTitle": "สด - Frigate",
+  "lowBandwidthMode": "โหมดแบนด์วิดท์ต่ำ",
+  "twoWayTalk": {
+    "enable": "เปิดใช้งานการสนทนาสองทาง",
+    "disable": "ปิดใช้งานการสนทนาสองทาง"
+  },
+  "cameraAudio": {
+    "enable": "เปิดเสียงกล้อง",
+    "disable": "ปิดเสียงกล้อง"
+  },
+  "manualRecording": {
+    "playInBackground": {
+      "label": "เล่นในพื้นหลัง"
+    }
+  },
+  "editLayout": {
+    "exitEdit": "ออกจากการแก้ไข"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "ทั้งหมด"
+    }
+  },
+  "documentTitle.withCamera": "{{camera}} - สด - Frigate",
+  "streamingSettings": "การตั้งค่าการสตรีม",
+  "camera": {
+    "disable": "ปิดกล้อง"
+  },
+  "detect": {
+    "disable": "ปิดการตรวจจับ"
+  },
+  "recording": {
+    "disable": "ปิดการบันทึก"
+  }
+}
diff --git a/web/public/locales/th/views/recording.json b/web/public/locales/th/views/recording.json
new file mode 100644
index 000000000..3a27ea96e
--- /dev/null
+++ b/web/public/locales/th/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "ส่งออก",
+  "calendar": "ปฎิทิน",
+  "filter": "กรอง",
+  "filters": "ตัวกรอง",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "ไม่ได้เลือกช่วงเวลาที่ถูกต้อง",
+      "endTimeMustAfterStartTime": "เวลาสิ้นสุดต้องอยู่หลังเวลาเริ่มต้น"
+    }
+  }
+}
diff --git a/web/public/locales/th/views/search.json b/web/public/locales/th/views/search.json
new file mode 100644
index 000000000..c94d1c726
--- /dev/null
+++ b/web/public/locales/th/views/search.json
@@ -0,0 +1,62 @@
+{
+  "search": "ค้นหา",
+  "button": {
+    "save": "บันทึกค้นหา",
+    "delete": "ลบการบันทึกค้นหา",
+    "clear": "ล้างการค้นหา",
+    "filterInformation": "ข้อมูลตัวกรอง",
+    "filterActive": "ตัวกรองที่ใช้งาน"
+  },
+  "savedSearches": "บันทึกการค้นหา",
+  "searchFor": "ค้นหา {{inputValue}}",
+  "trackedObjectId": "ติดตามรหัส",
+  "filter": {
+    "label": {
+      "cameras": "กล้อง",
+      "labels": "หมวดหมู่",
+      "zones": "โซน",
+      "sub_labels": "หมวดหมู่ย่อย",
+      "search_type": "ค้นหาประเภท",
+      "time_range": "ช่วงเวลา",
+      "after": "หลัง",
+      "min_score": "คะแนนต่ำ",
+      "max_speed": "ความเร็วสูงสุด",
+      "has_clip": "มีคลิป",
+      "has_snapshot": "มีภาพ",
+      "before": "ก่อน",
+      "max_score": "คะแนนสูงสุด",
+      "min_speed": "ความเร็วต่ำ"
+    },
+    "searchType": {
+      "description": "ลักษณะ"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "วันที่ของก่อนต้องอยู่หลังจากวันที่ของหลัง.",
+        "afterDatebeEarlierBefore": "วันที่ 'หลัง' จะต้องมาก่อนวันที่ 'ก่อน'.",
+        "minScoreMustBeLessOrEqualMaxScore": "'คะแนนต่ำ' ต้องน้อยกว่าหรือเท่ากับ 'คะแนนสูง'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'ความเร็วต่ำ' จะต้องน้อยกว่าหรือเท่ากับ 'ความเร็วสูงสุด'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'ความเร็วสูงสุด' จะต้องมากกว่าหรือเท่ากับ 'ความเร็วต่ำ'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "'คะแนนสูง' ต้องมากกว่าหรือเท่ากับ 'คะแนนต่ำ'."
+      }
+    },
+    "tips": {
+      "desc": {
+        "step1": "ประเภทตัวกรองต้องตามด้วยอัญประกาศ (เช่น \"cameras:\").",
+        "exampleLabel": "ตัวอย่าง:",
+        "step4": "วันที่กรอง (before: และ after:)ใช้รูปแบบ {{DateFormat}}.",
+        "step2": "เลือกค่าจากคําแนะนําหรือพิมพ์ด้วยคุณเอง."
+      },
+      "title": "วิธีการใช้ตัวกรองข้อความ"
+    },
+    "header": {
+      "activeFilters": "ตัวกรองที่ใช้งาน"
+    }
+  },
+  "placeholder": {
+    "search": "ค้นหา…"
+  },
+  "similaritySearch": {
+    "title": "ค้นหาที่คล้ายกัน"
+  }
+}
diff --git a/web/public/locales/th/views/settings.json b/web/public/locales/th/views/settings.json
new file mode 100644
index 000000000..421620708
--- /dev/null
+++ b/web/public/locales/th/views/settings.json
@@ -0,0 +1,248 @@
+{
+  "dialog": {
+    "unsavedChanges": {
+      "title": "คุณมีการเปลี่ยนแปลงที่ยังไม่ได้บันทึก.",
+      "desc": "คุณต้องการบันทึกการเปลี่ยนแปลงของคุณก่อนดำเนินการต่อหรือไม่?"
+    }
+  },
+  "users": {
+    "dialog": {
+      "form": {
+        "newPassword": {
+          "title": "รหัสผ่านใหม่",
+          "confirm": {
+            "placeholder": "ใส่รหัสผ่านใหม่อีกครั้ง"
+          },
+          "placeholder": "ใส่รหัสผ่านใหม่"
+        },
+        "password": {
+          "notMatch": "รหัสไม่ตรงกัน",
+          "title": "รหัสผ่าน",
+          "confirm": {
+            "title": "ยืนยันรหัสผ่าน",
+            "placeholder": "ยืนยันรหัสผ่าน"
+          },
+          "strength": {
+            "title": "ความแข็งแรงของรหัส: ",
+            "weak": "แย่",
+            "strong": "ใช้ได้",
+            "veryStrong": "แข็งแรง",
+            "medium": "กลาง"
+          },
+          "match": "รหัสตรงกัน",
+          "placeholder": "ใส่รหัสผ่าน"
+        },
+        "user": {
+          "placeholder": "ใส่ชื่อผู้ใช้",
+          "title": "ผู้ใช้"
+        },
+        "passwordIsRequired": "ต้องการรหัสผ่าน",
+        "usernameIsRequired": "ต้องการชื่อผู้ใช้"
+      },
+      "changeRole": {
+        "roleInfo": {
+          "admin": "ผู้ดูแล"
+        }
+      }
+    },
+    "toast": {
+      "success": {
+        "updatePassword": "อัปเดตรหัสผ่านเรียบร้อย",
+        "deleteUser": "ลบผู้ใช้ {{user}} เรียบร้อย",
+        "createUser": "สร้างผู้ใช้ {{user}} เรียบร้อย"
+      },
+      "error": {
+        "setPasswordFailed": "ผิดพลาดในการบันทึกรหัสผ่าน: {{errorMessage}}",
+        "deleteUserFailed": "ผิดพลาดในการลบผู้ใช้: {{errorMessage}}",
+        "createUserFailed": "ผิดพลาดในการสร้างผู้ใช้: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "ชื่อผู้ใช้",
+      "noUsers": "ไม่เจอผู้ใช้",
+      "password": "รหัสผ่าน",
+      "deleteUser": "ลบผู้ใช้",
+      "actions": "การดำเนินการ"
+    },
+    "management": {
+      "title": "จัดการผู้ใช้",
+      "desc": "จัดการบัญชีของ Frigate นี้."
+    },
+    "addUser": "แก้ไขผู้ใช้",
+    "title": "ผู้ใช้",
+    "updatePassword": "อัปเดตรหัสผ่าน"
+  },
+  "notification": {
+    "suspendTime": {
+      "12hours": "ระงับ 12 ชั่วโมง",
+      "5minutes": "ระงับ 5 นาที",
+      "10minutes": "ระงับ 10 นาที",
+      "1hour": "ระงับ 1 ชั่วโมง",
+      "untilRestart": "ระงับจนกว่ารีสตาร์ท",
+      "suspend": "ระงับ",
+      "24hours": "ระงับ 24 ชั่วโมง",
+      "30minutes": "ระงับ 30 นาที"
+    },
+    "cameras": {
+      "title": "กล้อง",
+      "noCameras": "ไม่มีกล้องให้ใช้งาน"
+    },
+    "email": {
+      "title": "อีเมล"
+    },
+    "notificationSettings": {
+      "documentation": "อ่านเอกสาร"
+    },
+    "notificationUnavailable": {
+      "documentation": "อ่านเอกสาร"
+    }
+  },
+  "documentTitle": {
+    "default": "ตั้งค่า - Frigate",
+    "authentication": "การตั้งค่าการตรวจสอบสิทธิ์ - Frigate",
+    "camera": "การตั้งค่ากล้อง - Frigate",
+    "classification": "การตั้งค่าการจำแนกประเภท - Frigate",
+    "masksAndZones": "ตัวแก้ไขแมสและโซน - Frigate",
+    "general": "การตั้งค่าทั่วไป - Frigate",
+    "frigatePlus": "การตั้งค่า Frigate+ - Frigate",
+    "notifications": "การตั้งค่าการแจ้งเตือน - Frigate"
+  },
+  "menu": {
+    "notifications": "การแจ้งเตือน",
+    "frigateplus": "Frigate+",
+    "cameras": "ตั้งค่ากล้อง",
+    "users": "ผู้ใช้",
+    "classification": "การจําแนกประเภท",
+    "masksAndZones": "แมส / โซน",
+    "ui": "UI"
+  },
+  "cameraSetting": {
+    "camera": "กล้อง",
+    "noCamera": "ไม่มีกล้อง"
+  },
+  "general": {
+    "liveDashboard": {
+      "title": "แดชบอร์ดสด",
+      "automaticLiveView": {
+        "label": "การดูสดอัตโนมัติ",
+        "desc": "สลับไปที่มุมมองสดของกล้องโดยอัตโนมัติเมื่อตรวจพบกิจกรรม. การปิดใช้งานตัวเลือกนี้จะทำให้ภาพคงที่จากกล้องบนแดชบอร์ดสดอัปเดตเพียงครั้งเดียวต่อนาที."
+      },
+      "playAlertVideos": {
+        "label": "เล่นวิดีโอการแจ้งเตือน.",
+        "desc": "ตามค่าเริ่มต้น, แจ้งเตือนล่าสุดบนแดชบอร์ดสด จะเล่นเป็นวิดีโอวนซ้ำขนาดเล็ก. ปิดใช้งานตัวเลือกนี้เพื่อแสดงเฉพาะภาพนิ่งของการแจ้งเตือนล่าสุดบนอุปกรณ์/เบราว์เซอร์นี้เท่านั้น."
+      }
+    },
+    "storedLayouts": {
+      "title": "เลย์เอาท์ที่จัดเก็บไว้",
+      "desc": "คุณสามารถลากหรือปรับขนาดเลย์เอาท์ของกล้องในกลุ่มกล้องได้. ตำแหน่งต่างๆ จะถูกเก็บไว้ในหน่วยความจำภายในของเบราว์เซอร์ของคุณ.",
+      "clearAll": "ล้างเลย์เอาต์ทั้งหมด"
+    },
+    "calendar": {
+      "title": "ปฎิทิน",
+      "firstWeekday": {
+        "label": "วันธรรมดาวันแรก",
+        "sunday": "วันอาทิตย์",
+        "monday": "วันจันทร์",
+        "desc": "วันที่เริ่มต้นสัปดาห์ของปฏิทินการรีวิว."
+      }
+    },
+    "title": "การตั้งค่าทั่วไป",
+    "cameraGroupStreaming": {
+      "title": "การตั้งค่าสตรีมกล้องแบบกลุ่ม",
+      "desc": "การตั้งค่าสตรีมมิ่งสําหรับกล้องแต่ละกลุ่มเก็บไว้ในเบราว์เซอร์ของคุณ.",
+      "clearAll": "ล้างการตั้งค่าสตรีมทั้งหมด"
+    }
+  },
+  "classification": {
+    "faceRecognition": {
+      "title": "การจดจำใบหน้า",
+      "modelSize": {
+        "small": {
+          "title": "เล็ก"
+        },
+        "large": {
+          "title": "ใหญ่"
+        }
+      }
+    },
+    "toast": {
+      "error": "ผิดพลาดในการบันทึกการกำหนดค่า: {{errorMessage}}"
+    },
+    "semanticSearch": {
+      "modelSize": {
+        "small": {
+          "title": "เล็ก"
+        },
+        "large": {
+          "title": "ใหญ่"
+        }
+      }
+    },
+    "restart_required": "จำเป็นต้องรีสตาร์ท (การตั้งค่าการจำแนกมีการเปลี่ยนแปลง)"
+  },
+  "camera": {
+    "review": {
+      "title": "รีวิว",
+      "alerts": "การแจ้งเตือน ",
+      "detections": "การเคลื่อนไหว "
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "อ่านเอกสาร"
+    }
+  },
+  "masksAndZones": {
+    "zones": {
+      "name": {
+        "tips": "ชื่อต้องมีความยาวอย่างน้อย 2 อักขระ และต้องไม่ใช่ชื่อกล้องหรือโซนอื่น",
+        "title": "ชื่อ",
+        "inputPlaceHolder": "ใส่ชื่อ…"
+      },
+      "add": "เพิ่มโซน",
+      "edit": "แก้โซน",
+      "point_other": "{{count}} จุด",
+      "speedEstimation": {
+        "docs": "อ่านเอกสาร"
+      }
+    },
+    "motionMasks": {
+      "point_other": "{{count}} จุด",
+      "context": {
+        "documentation": "อ่านเอกสาร"
+      },
+      "polygonAreaTooLarge": {
+        "documentation": "อ่านเอกสาร"
+      }
+    },
+    "objectMasks": {
+      "point_other": "{{count}} จุด"
+    }
+  },
+  "frigatePlus": {
+    "title": "การตั้งค่า Frigate+",
+    "modelInfo": {
+      "cameras": "กล้อง"
+    },
+    "toast": {
+      "error": "ผิดพลาดในการบันทึกการกำหนดค่า: {{errorMessage}}"
+    },
+    "snapshotConfig": {
+      "documentation": "อ่านเอกสาร"
+    }
+  },
+  "debug": {
+    "objectShapeFilterDrawing": {
+      "document": "อ่านเอกสาร "
+    }
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "readTheDocumentation": "อ่านเอกสาร"
+    },
+    "faceRecognition": {
+      "readTheDocumentation": "อ่านเอกสาร"
+    },
+    "licensePlateRecognition": {
+      "readTheDocumentation": "อ่านเอกสาร"
+    }
+  }
+}
diff --git a/web/public/locales/th/views/system.json b/web/public/locales/th/views/system.json
new file mode 100644
index 000000000..2084d91a3
--- /dev/null
+++ b/web/public/locales/th/views/system.json
@@ -0,0 +1,59 @@
+{
+  "general": {
+    "title": "ทั่วไป",
+    "hardwareInfo": {
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "driver": "ไดรเวอร์: {{driver}}",
+          "name": "ชื่อ: {{name}}"
+        },
+        "copyInfo": {
+          "label": "คัดลอกข้อมูล GPU"
+        },
+        "closeInfo": {
+          "label": "ปิดข้อมูล GPU"
+        },
+        "toast": {
+          "success": "คัดลอกข้อมูล GPU ไปยังคลิปบอร์ดแล้ว"
+        }
+      },
+      "gpuUsage": "การใช้งาน GPU",
+      "gpuMemory": "หน่วยความจํา GPU",
+      "title": "รายละเอียดของอุปกรณ์",
+      "gpuEncoder": "ใช้ GPU เข้ารหัส",
+      "gpuDecoder": "ใช้ GPU ถอดรหัส"
+    },
+    "detector": {
+      "cpuUsage": "ตัวตรวจจับใช้งานหน่วยประมวลผลกลาง",
+      "title": "ตัวตรวจจับ",
+      "inferenceSpeed": "ความเร็วในการตรวจจับ",
+      "temperature": "อุณภูมิตัวตรวจจับ",
+      "memoryUsage": "ตัวตรวจจับใช้งานหน่วยความจำ"
+    }
+  },
+  "enrichments": {
+    "embeddings": {
+      "face_recognition_speed": "ความเร็วในการจดจำใบหน้า",
+      "plate_recognition_speed": "ความเร็วในการจดจำป้าย",
+      "yolov9_plate_detection_speed": "ความเร็วในการตรวจจับป้าย ของ YOLOv9",
+      "face_recognition": "การจดจำใบหน้า",
+      "text_embedding_speed": "ความเร็วในการอ่านข้อความ",
+      "yolov9_plate_detection": "การตรวจจับป้าย ของ YOLOv9"
+    }
+  },
+  "title": "ระบบ",
+  "storage": {
+    "cameraStorage": {
+      "unused": {
+        "title": "ไม่ได้ใช้"
+      },
+      "storageUsed": "พื้นที่จัดเก็บ",
+      "title": "พื้นที่จัดเก็บกล้อง"
+    },
+    "title": "พื้นที่จัดเก็บ"
+  },
+  "stats": {
+    "cameraIsOffline": "{{camera}} ออฟไลน์",
+    "detectIsVerySlow": "{{detect}} ช้ามาก ({{speed}} มิลลิวินาที)"
+  }
+}
diff --git a/web/public/locales/tr/audio.json b/web/public/locales/tr/audio.json
new file mode 100644
index 000000000..6364c8dcd
--- /dev/null
+++ b/web/public/locales/tr/audio.json
@@ -0,0 +1,429 @@
+{
+  "mantra": "mantra",
+  "breathing": "nefes alma",
+  "snoring": "horlama",
+  "animal": "hayvan",
+  "dog": "köpek",
+  "laughter": "kahkaha",
+  "yell": "bağırma",
+  "cat": "kedi",
+  "whispering": "fısıldama",
+  "crying": "ağlama",
+  "bark": "havlama",
+  "speech": "Konuşma",
+  "bicycle": "bisiklet",
+  "horse": "at",
+  "goat": "keçi",
+  "mouse": "fare",
+  "keyboard": "klavye",
+  "vehicle": "araç",
+  "boat": "bot",
+  "car": "araba",
+  "bus": "otobüs",
+  "motorcycle": "motosiklet",
+  "skateboard": "kaykay",
+  "door": "kapı",
+  "blender": "mikser",
+  "sink": "lavabo",
+  "toothbrush": "diş fırçası",
+  "clock": "saat",
+  "scissors": "makas",
+  "bird": "kuş",
+  "sheep": "koyun",
+  "train": "tren",
+  "hair_dryer": "saç kurutma makinesi",
+  "babbling": "aguşlama",
+  "snicker": "kıkırdama",
+  "sigh": "iç çekme",
+  "bellow": "haykırma",
+  "whoop": "nara",
+  "singing": "şarkı söyleme",
+  "choir": "koro",
+  "yodeling": "gırtlak naresi",
+  "grunt": "homurdanma",
+  "whistling": "ıslık",
+  "wheeze": "hırıltı",
+  "gasp": "kesik nefes",
+  "pant": "soluma",
+  "cough": "öksürük",
+  "throat_clearing": "boğaz temizleme",
+  "chatter": "gevezelik",
+  "crowd": "kalabalık",
+  "children_playing": "oynayan çocuklar",
+  "pets": "evcil hayvan",
+  "meow": "miyavlama",
+  "hiss": "tıslama",
+  "moo": "böğürme",
+  "cowbell": "inek çanı",
+  "fowl": "kümes hayvanı",
+  "chicken": "tavuk",
+  "cluck": "gıdaklama",
+  "quack": "vakvaklama",
+  "coo": "kumru sesi",
+  "crow": "karga",
+  "insect": "böcek",
+  "plucked_string_instrument": "çekmeli telli çalgı",
+  "guitar": "gitar",
+  "electric_guitar": "elektro gitar",
+  "strum": "pena vuruşu",
+  "organ": "org",
+  "electronic_organ": "elektronik org",
+  "hammond_organ": "hammond org",
+  "percussion": "vurmalı çalgı",
+  "drum_kit": "bateri",
+  "drum": "davul",
+  "gong": "gong",
+  "tubular_bells": "boru çanlar",
+  "mallet_percussion": "tokmaklı vurmalılar",
+  "brass_instrument": "bakır nefesli",
+  "flute": "flüt",
+  "church_bell": "kilise çanı",
+  "didgeridoo": "didgeridoo",
+  "theremin": "teremin",
+  "heavy_metal": "heavy metal",
+  "punk_rock": "punk rock",
+  "grunge": "grunge",
+  "reggae": "reggae",
+  "country": "country müzik",
+  "middle_eastern_music": "orta doğu müziği",
+  "jazz": "caz",
+  "trance_music": "trance müzik",
+  "music_of_latin_america": "latin amerika müziği",
+  "music_of_africa": "afrika müziği",
+  "afrobeat": "afrobeat",
+  "christian_music": "hristiyan müziği",
+  "gospel_music": "gospel",
+  "independent_music": "bağımsız müzik",
+  "wedding_music": "düğün müziği",
+  "happy_music": "mutlu müzik",
+  "scary_music": "korkutucu müzik",
+  "wind": "rüzgar",
+  "thunder": "gök gürültüsü",
+  "water": "su",
+  "rain": "yağmur",
+  "ocean": "okyanus",
+  "waves": "dalgalar",
+  "steam": "buhar",
+  "gurgling": "şırıltı",
+  "fire": "ateş",
+  "sailboat": "yelkenli",
+  "rowboat": "sandal",
+  "motorboat": "motorbot",
+  "toot": "korna sesi",
+  "race_car": "yarış arabası",
+  "ambulance": "ambulans",
+  "train_horn": "tren kornası",
+  "jet_engine": "jet motoru",
+  "accelerating": "hızlanma",
+  "doorbell": "kapı zili",
+  "ding-dong": "ding dong",
+  "cupboard_open_or_close": "dolap açma/kapama",
+  "drawer_open_or_close": "çekmece açma/kapama",
+  "dishes": "bulaşık",
+  "toilet_flush": "sifon çekme",
+  "zipper": "fermuar",
+  "shuffling_cards": "kart karıştırma",
+  "ringtone": "zil sesi",
+  "telephone_dialing": "numara çevirme",
+  "dial_tone": "çevir sesi",
+  "buzzer": "buzzer",
+  "mechanisms": "mekanizma",
+  "ratchet": "cırcır",
+  "tick": "tik",
+  "filing": "törpüleme",
+  "burst": "patlama",
+  "eruption": "püskürme",
+  "silence": "sessizlik",
+  "chant": "tezahürat",
+  "child_singing": "çocuk şarkısı",
+  "synthetic_singing": "sentetik şarkı",
+  "rapping": "rap",
+  "humming": "mırıldanma",
+  "groan": "inleme",
+  "snort": "burnundan soluma",
+  "sneeze": "hapşırma",
+  "sniff": "burun çekme",
+  "run": "koşma",
+  "shuffle": "ayak sürtme",
+  "footsteps": "adım sesleri",
+  "chewing": "çiğneme",
+  "biting": "ısırma",
+  "gargling": "gargara",
+  "stomach_rumble": "mide gurultusu",
+  "burping": "geğirme",
+  "hiccup": "hıçkırık",
+  "fart": "gaz çıkarma",
+  "hands": "el sesi",
+  "finger_snapping": "parmak şıklatma",
+  "clapping": "alkışlama",
+  "heartbeat": "kalp atışı",
+  "heart_murmur": "kalp üfürümü",
+  "cheering": "tezahürat",
+  "applause": "alkış",
+  "yip": "ince havlama",
+  "howl": "uluma",
+  "bow_wow": "havlama",
+  "growling": "hırlama",
+  "whimper_dog": "köpek sızlanması",
+  "purr": "mırlama",
+  "caterwaul": "kedi çığlığı",
+  "livestock": "çiftlik hayvanı",
+  "clip_clop": "nal sesi",
+  "neigh": "kişneme",
+  "cattle": "büyükbaş hayvan",
+  "pig": "domuz",
+  "oink": "domuz sesi",
+  "bleat": "meleme",
+  "cock_a_doodle_doo": "horoz ötüşü",
+  "turkey": "hindi",
+  "gobble": "hindi sesi",
+  "duck": "ördek",
+  "goose": "kaz",
+  "honk": "kaz sesi",
+  "wild_animals": "vahşi hayvan",
+  "roaring_cats": "kükreyen kedi",
+  "roar": "kükreme",
+  "chirp": "cıvıltı",
+  "squawk": "kuş çığlığı",
+  "pigeon": "güvercin",
+  "caw": "karga sesi",
+  "owl": "baykuş",
+  "hoot": "baykuş ötüşü",
+  "flapping_wings": "kanat çırpma",
+  "dogs": "köpekler",
+  "rats": "sıçanlar",
+  "patter": "tıkırtı",
+  "cricket": "cırcır böceği",
+  "mosquito": "sivrisinek",
+  "fly": "sinek",
+  "frog": "kurbağa",
+  "croak": "vraklama",
+  "snake": "yılan",
+  "rattle": "çıngırak",
+  "buzz": "vızıltı",
+  "whale_vocalization": "balina sesi",
+  "music": "müzik",
+  "musical_instrument": "müzik aleti",
+  "bass_guitar": "bas gitar",
+  "acoustic_guitar": "akustik gitar",
+  "steel_guitar": "steel gitar",
+  "tapping": "tıklatma",
+  "ukulele": "ukulele",
+  "banjo": "banjo",
+  "sitar": "sitar",
+  "mandolin": "mandolin",
+  "zither": "ziter",
+  "piano": "piyano",
+  "electric_piano": "elektro piyano",
+  "synthesizer": "sentezleyici",
+  "sampler": "örnekleyici",
+  "drum_machine": "davul makinesi",
+  "harpsichord": "klavsen",
+  "snare_drum": "trampet",
+  "rimshot": "rimşat",
+  "drum_roll": "davul geçişi",
+  "bass_drum": "bas davul",
+  "timpani": "timpani",
+  "maraca": "marakas",
+  "tabla": "tabla",
+  "cymbal": "zil",
+  "hi_hat": "hi-hat",
+  "wood_block": "tahta blok",
+  "tambourine": "tef",
+  "marimba": "marimba",
+  "glockenspiel": "glockenspiel",
+  "vibraphone": "vibrafon",
+  "steelpan": "steelpan",
+  "orchestra": "orkestra",
+  "french_horn": "korno",
+  "trumpet": "trompet",
+  "trombone": "trombon",
+  "bowed_string_instrument": "yaylı telli çalgı",
+  "string_section": "yaylılar",
+  "violin": "keman",
+  "pizzicato": "pizzicato",
+  "cello": "viyolonsel",
+  "double_bass": "kontrbas",
+  "wind_instrument": "nefesli çalgı",
+  "saxophone": "saksafon",
+  "clarinet": "klarnet",
+  "harp": "arp",
+  "bell": "çan",
+  "singing_bowl": "tibet çanağı",
+  "scratching": "tırmalama",
+  "pop_music": "pop müzik",
+  "bicycle_bell": "bisiklet zili",
+  "tuning_fork": "diyapazon",
+  "chime": "çan sesi",
+  "wind_chime": "rüzgar çanı",
+  "harmonica": "mızıka",
+  "accordion": "akordeon",
+  "bagpipes": "gayda",
+  "hip_hop_music": "hip hop müzik",
+  "beatboxing": "beatbox",
+  "rock_music": "rock müzik",
+  "progressive_rock": "progressive rock",
+  "rock_and_roll": "rock and roll",
+  "psychedelic_rock": "psychedelic rock",
+  "rhythm_and_blues": "rhythm and blues",
+  "soul_music": "soul müzik",
+  "swing_music": "swing müzik",
+  "bluegrass": "bluegrass",
+  "funk": "funk",
+  "folk_music": "halk müziği",
+  "disco": "disko",
+  "classical_music": "klasik müzik",
+  "opera": "opera",
+  "electronic_music": "elektronik müzik",
+  "house_music": "house müzik",
+  "techno": "tekno",
+  "dubstep": "dubstep",
+  "drum_and_bass": "drum and bass",
+  "electronica": "electronica",
+  "electronic_dance_music": "elektronik dans müziği",
+  "ambient_music": "ambient müzik",
+  "salsa_music": "salsa müziği",
+  "flamenco": "flamenko",
+  "blues": "blues",
+  "music_for_children": "çocuk müziği",
+  "new-age_music": "new age müzik",
+  "vocal_music": "vokal müzik",
+  "a_capella": "akapella",
+  "music_of_asia": "asya müziği",
+  "carnatic_music": "karnatik müzik",
+  "music_of_bollywood": "bollywood müziği",
+  "ska": "ska",
+  "traditional_music": "geleneksel müzik",
+  "song": "şarkı",
+  "background_music": "arka plan müziği",
+  "theme_music": "tema müziği",
+  "jingle": "jingle",
+  "soundtrack_music": "film müziği",
+  "lullaby": "ninni",
+  "video_game_music": "video oyunu müziği",
+  "christmas_music": "noel müziği",
+  "dance_music": "dans müziği",
+  "sad_music": "hüzünlü müzik",
+  "tender_music": "yumuşak müzik",
+  "exciting_music": "heyecanlı müzik",
+  "angry_music": "öfkeli müzik",
+  "rustling_leaves": "yaprak hışırtısı",
+  "wind_noise": "rüzgar gürültüsü",
+  "thunderstorm": "gök gürültülü fırtına",
+  "raindrop": "yağmur damlası",
+  "rain_on_surface": "yüzeye düşen yağmur",
+  "stream": "dere",
+  "waterfall": "şelale",
+  "crackle": "çıtırtı",
+  "ship": "gemi",
+  "motor_vehicle": "motorlu taşıt",
+  "car_alarm": "araç alarmı",
+  "power_windows": "otomatik cam",
+  "skidding": "kayma",
+  "tire_squeal": "lastik gıcırtısı",
+  "car_passing_by": "geçen araba",
+  "truck": "kamyon",
+  "air_brake": "havalı fren",
+  "air_horn": "havalı korna",
+  "reversing_beeps": "geri vites bip sesi",
+  "ice_cream_truck": "dondurma kamyonu",
+  "emergency_vehicle": "acil durum aracı",
+  "police_car": "polis arabası",
+  "fire_engine": "itfaiye aracı",
+  "traffic_noise": "trafik gürültüsü",
+  "rail_transport": "raylı ulaşım",
+  "train_whistle": "tren düdüğü",
+  "railroad_car": "vagon",
+  "fixed-wing_aircraft": "sabit kanatlı uçak",
+  "train_wheels_squealing": "tren tekeri gıcırtısı",
+  "subway": "metro",
+  "aircraft": "hava aracı",
+  "aircraft_engine": "uçak motoru",
+  "propeller": "pervane",
+  "helicopter": "helikopter",
+  "engine": "motor",
+  "light_engine": "hafif motor",
+  "dental_drill's_drill": "dişçi matkabı",
+  "lawn_mower": "çim biçme makinesi",
+  "chainsaw": "motorlu testere",
+  "medium_engine": "orta motor",
+  "heavy_engine": "ağır motor",
+  "engine_knocking": "motor vuruntusu",
+  "engine_starting": "motor çalıştırma",
+  "idling": "rölanti",
+  "sliding_door": "sürgülü kapı",
+  "slam": "kapı çarpma",
+  "knock": "kapı çalma",
+  "tap": "tıklatma",
+  "squeak": "gıcırtı",
+  "cutlery": "çatal bıçak",
+  "chopping": "doğrama",
+  "frying": "kızartma",
+  "microwave_oven": "mikrodalga fırın",
+  "water_tap": "musluk",
+  "bathtub": "küvet",
+  "electric_toothbrush": "elektrikli diş fırçası",
+  "vacuum_cleaner": "elektrik süpürgesi",
+  "keys_jangling": "anahtar şıngırtısı",
+  "coin": "madeni para",
+  "electric_shaver": "tıraş makinesi",
+  "typing": "klavyede yazma",
+  "typewriter": "daktilo",
+  "computer_keyboard": "bilgisayar klavyesi",
+  "writing": "yazma",
+  "alarm": "alarm",
+  "telephone": "telefon",
+  "telephone_bell_ringing": "telefon çalması",
+  "busy_signal": "meşgul sinyali",
+  "alarm_clock": "çalar saat",
+  "siren": "siren",
+  "civil_defense_siren": "sivil savunma sireni",
+  "smoke_detector": "duman dedektörü",
+  "fire_alarm": "yangın alarmı",
+  "foghorn": "sis düdüğü",
+  "whistle": "düdük",
+  "steam_whistle": "buhar düdüğü",
+  "tick-tock": "tik tak",
+  "gears": "dişliler",
+  "pulleys": "makaralar",
+  "sewing_machine": "dikiş makinesi",
+  "mechanical_fan": "mekanik vantilatör",
+  "air_conditioning": "klima",
+  "cash_register": "yazar kasa",
+  "printer": "yazıcı",
+  "camera": "kamera",
+  "single-lens_reflex_camera": "slr kamera",
+  "tools": "aletler",
+  "hammer": "çekiç",
+  "jackhammer": "hilti",
+  "sawing": "testere ile kesme",
+  "sanding": "zımparalama",
+  "power_tool": "elektrikli alet",
+  "drill": "matkap",
+  "explosion": "patlama",
+  "gunshot": "silah sesi",
+  "machine_gun": "makineli tüfek",
+  "fusillade": "yaylım ateşi",
+  "artillery_fire": "topçu ateşi",
+  "cap_gun": "mantar tabancası",
+  "fireworks": "havai fişek",
+  "firecracker": "torpil",
+  "boom": "gümbürtü",
+  "wood": "ahşap",
+  "chop": "kesme",
+  "splinter": "parçalanma",
+  "crack": "çatlama",
+  "glass": "cam",
+  "chink": "şıngırtı",
+  "shatter": "kırılma",
+  "sound_effect": "ses efekti",
+  "environmental_noise": "çevre gürültüsü",
+  "static": "parazit",
+  "white_noise": "beyaz gürültü",
+  "pink_noise": "pembe gürültü",
+  "television": "televizyon",
+  "radio": "radyo",
+  "field_recording": "alan kaydı",
+  "scream": "çığlık",
+  "jingle_bell": "küçük çan"
+}
diff --git a/web/public/locales/tr/common.json b/web/public/locales/tr/common.json
new file mode 100644
index 000000000..e23b402ca
--- /dev/null
+++ b/web/public/locales/tr/common.json
@@ -0,0 +1,268 @@
+{
+  "time": {
+    "lastWeek": "Geçen Hafta",
+    "thisWeek": "Bu Hafta",
+    "lastMonth": "Geçen Ay",
+    "untilForRestart": "Frigate yeniden başlatılana kadar.",
+    "untilRestart": "Yeniden başlatmaya kadar",
+    "ago": "{{timeAgo}} önce",
+    "justNow": "Az önce",
+    "today": "Bugün",
+    "yesterday": "Dün",
+    "last7": "Son 7 gün",
+    "last30": "Son 30 gün",
+    "thisMonth": "Bu Ay",
+    "5minutes": "5 dakika",
+    "10minutes": "10 dakika",
+    "30minutes": "30 dakika",
+    "1hour": "1 saat",
+    "12hours": "12 saat",
+    "last14": "Son 14 gün",
+    "24hours": "24 saat",
+    "formattedTimestamp": {
+      "24hour": "d MMM, HH:mm:ss",
+      "12hour": "d MMM, h:mm:ss aaa"
+    },
+    "formattedTimestamp2": {
+      "24hour": "d MMM HH:mm:ss",
+      "12hour": "dd/MM h:mm:ssa"
+    },
+    "second_one": "{{time}} saniye",
+    "second_other": "{{time}} saniye",
+    "year_one": "{{time}} yıl",
+    "year_other": "{{time}} yıl",
+    "hour_one": "{{time}} saat",
+    "hour_other": "{{time}} saat",
+    "h": "{{time}} s",
+    "yr": "{{time}} yıl",
+    "mo": "{{time}} ay",
+    "untilForTime": "{{time}}'a kadar",
+    "pm": "ÖS",
+    "am": "ÖÖ",
+    "d": "{{time}} gün",
+    "day_one": "{{time}} gün",
+    "day_other": "{{time}} gün",
+    "m": "{{time}}d",
+    "minute_one": "{{time}} dakika",
+    "minute_other": "{{time}} dakika",
+    "formattedTimestampWithYear": {
+      "12hour": "%-d %b %Y, %I:%M %p",
+      "24hour": "%-d %b %Y, %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%-d %b",
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%-d %b, %I:%M %p",
+      "24hour": "%-d %b, %H:%M"
+    },
+    "s": "{{time}}sn",
+    "month_one": "{{time}} ay",
+    "month_other": "{{time}} ay",
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    }
+  },
+  "button": {
+    "off": "KAPALI",
+    "next": "Sonraki",
+    "saving": "Kaydediliyor…",
+    "back": "Geri",
+    "unselect": "Seçimi kaldır",
+    "info": "Bilgi",
+    "enable": "Aç",
+    "disabled": "Kapalı",
+    "disable": "Kapat",
+    "history": "Geçmiş",
+    "cameraAudio": "Kamera Sesi",
+    "on": "AÇIK",
+    "suspended": "Askıya alınmış",
+    "unsuspended": "Askıdan çıkart",
+    "export": "Dışa aktar",
+    "download": "İndir",
+    "edit": "Düzenle",
+    "fullscreen": "Tam ekran",
+    "deleteNow": "Şimdi Sil",
+    "apply": "Uygula",
+    "reset": "Sıfırla",
+    "done": "Bitti",
+    "enabled": "Açık",
+    "save": "Kaydet",
+    "exitFullscreen": "Tam ekrandan çık",
+    "pictureInPicture": "Pencere içinde pencere",
+    "copyCoordinates": "Koordinatları kopyala",
+    "yes": "Evet",
+    "play": "Oynat",
+    "no": "Hayır",
+    "copy": "Kopyala",
+    "cancel": "İptal",
+    "twoWayTalk": "Çift Yönlü Ses",
+    "close": "Kapat",
+    "delete": "Sil"
+  },
+  "menu": {
+    "systemLogs": "Sistem günlükleri",
+    "user": {
+      "anonymous": "anonim",
+      "account": "Hesap",
+      "current": "Mevcut kullanıcı: {{user}}",
+      "setPassword": "Parola Belirle",
+      "logout": "Oturumu Kapat",
+      "title": "Kullanıcı"
+    },
+    "configuration": "Yapılandırma",
+    "languages": "Diller",
+    "language": {
+      "en": "İngilizce",
+      "zhCN": "简体中文 (Basitleştirilmiş Çince)",
+      "withSystem": {
+        "label": "Dil için sistem tercihini kullan"
+      },
+      "hi": "हिन्दी (Hintçe)",
+      "fr": "Français (Fransızca)",
+      "pt": "Português (Portekizce)",
+      "de": "Deutsch (Almanca)",
+      "ja": "日本語 (Japonca)",
+      "tr": "Türkçe (Türkçe)",
+      "it": "Italiano (İtalyanca)",
+      "nl": "Nederlands (Felemenkçe)",
+      "sv": "Svenska (İsveççe)",
+      "cs": "Čeština (Çekçe)",
+      "nb": "Norsk Bokmål (Bokmål Norveç Dili)",
+      "ko": "한국어 (Korece)",
+      "vi": "Tiếng Việt (Vietnamca)",
+      "pl": "Polski (Lehçe)",
+      "uk": "Українська (Ukraynaca)",
+      "he": "עברית (İbranice)",
+      "el": "Ελληνικά (Yunanca)",
+      "ro": "Română (Rumence)",
+      "hu": "Magyar (Macarca)",
+      "fi": "Suomi (Fince)",
+      "da": "Dansk (Danimarka Dili)",
+      "sk": "Slovenčina (Slovakça)",
+      "fa": "فارسی (Farsça)",
+      "es": "Español (İspanyolca)",
+      "ar": "العربية (Arapça)",
+      "ru": "Русский (Rusça)",
+      "yue": "粵語 (Kantonca)",
+      "th": "ไทย (Tayca)",
+      "ca": "Català (Katalanca)"
+    },
+    "withSystem": "Sistem",
+    "theme": {
+      "label": "Tema",
+      "blue": "Mavi",
+      "contrast": "Yüksek Karşıtlık",
+      "green": "Yeşil",
+      "red": "Kırmızı",
+      "default": "Varsayılan",
+      "nord": "Kuzey",
+      "highcontrast": "Yüksek Karşıtlık"
+    },
+    "restart": "Frigate'i yeniden başlat",
+    "live": {
+      "title": "Canlı",
+      "allCameras": "Tüm Kameralar",
+      "cameras": {
+        "title": "Kameralar",
+        "count_one": "{{count}} Kamera",
+        "count_other": "{{count}} Kamera"
+      }
+    },
+    "review": "İncele",
+    "explore": "Keşfet",
+    "system": "Sistem",
+    "documentation": {
+      "title": "Dökümantasyon",
+      "label": "Frigate dökümantasyonu"
+    },
+    "settings": "Ayarlar",
+    "appearance": "Görünüm",
+    "darkMode": {
+      "label": "Karanlık Mod",
+      "withSystem": {
+        "label": "Karanlık tema için sistem tercihini kullan"
+      },
+      "light": "Açık",
+      "dark": "Koyu"
+    },
+    "export": "Dışa Aktar",
+    "configurationEditor": "Yapılandırma düzenleyicisi",
+    "help": "Yardım",
+    "faceLibrary": "Yüz Veritabanı",
+    "systemMetrics": "Sistem metrikleri",
+    "uiPlayground": "UI Deneme Alanı"
+  },
+  "label": {
+    "back": "Geri"
+  },
+  "notFound": {
+    "documentTitle": "Bulunamadı - Frigate",
+    "desc": "Sayfa bulunamadı",
+    "title": "404"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/s"
+    },
+    "length": {
+      "feet": "feet",
+      "meters": "metre"
+    }
+  },
+  "pagination": {
+    "next": {
+      "title": "Sonraki",
+      "label": "Sonraki sayfaya git"
+    },
+    "previous": {
+      "label": "Önceki sayfaya git",
+      "title": "Önceki"
+    },
+    "label": "sayfalandırma",
+    "more": "Daha fazla"
+  },
+  "accessDenied": {
+    "title": "Erişim Reddedildi",
+    "desc": "Bu sayfayı görüntüleme yetkiniz yok.",
+    "documentTitle": "Erişim Reddedildi - Frigate"
+  },
+  "toast": {
+    "copyUrlToClipboard": "URL panoya kopyalandı.",
+    "save": {
+      "title": "Kaydet",
+      "error": {
+        "noMessage": "Yapılandırma değişiklikleri kaydedilemedi",
+        "title": "Yapılandırma değişiklikleri kaydedilemedi: {{errorMessage}}"
+      }
+    }
+  },
+  "selectItem": "{{item}} seçin",
+  "role": {
+    "title": "Rol",
+    "viewer": "Görüntüleyici",
+    "admin": "Yönetici",
+    "desc": "Yöneticiler Frigate arayüzündeki bütün özelliklere tam erişim sahibidir. Görüntüleyiciler ise yalnızca kameraları, eski görüntüleri ve inceleme öğelerini görüntülemekle sınırlıdır."
+  }
+}
diff --git a/web/public/locales/tr/components/auth.json b/web/public/locales/tr/components/auth.json
new file mode 100644
index 000000000..dbc444b05
--- /dev/null
+++ b/web/public/locales/tr/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "password": "Parola",
+    "login": "Oturum Aç",
+    "errors": {
+      "webUnknownError": "Bilinmeyen hata. Konsol günlüklerini kontrol edin.",
+      "usernameRequired": "Kullanıcı adı gereklidir",
+      "loginFailed": "Oturum açma başarısız",
+      "passwordRequired": "Parola gereklidir",
+      "rateLimit": "İstek sınırı aşıldı. Daha sonra tekrar deneyin.",
+      "unknownError": "Bilinmeyen hata. Günlükleri kontrol edin."
+    },
+    "user": "Kullanıcı Adı"
+  }
+}
diff --git a/web/public/locales/tr/components/camera.json b/web/public/locales/tr/components/camera.json
new file mode 100644
index 000000000..8471d7c84
--- /dev/null
+++ b/web/public/locales/tr/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "name": {
+      "placeholder": "Bir isim girin…",
+      "label": "İsim",
+      "errorMessage": {
+        "nameMustNotPeriod": "Kamera grubu ismi nokta içeremez.",
+        "invalid": "Geçersiz kamera grubu ismi.",
+        "mustLeastCharacters": "Kamera grubu ismi en az iki karakterden oluşmalıdır.",
+        "exists": "Bu isimle bir kamera grubu zaten var."
+      }
+    },
+    "success": "{{name}} adlı kamera grubu kaydedildi.",
+    "camera": {
+      "setting": {
+        "title": "{{cameraName}} Yayın Ayarları",
+        "audio": {
+          "tips": {
+            "document": "Dökümantasyonu oku ",
+            "title": "Bu yayın için kameranızın yayın çıkışında ses olması ve go2rtc'de ayarlanmış olması gerekmektedir."
+          }
+        },
+        "label": "Kamera Yayın Ayarları",
+        "desc": "Bu kamera grubunun kontrol paneli için canlı yayın seçeneklerini değiştirin. <em>Bu ayarlar cihaz/tarayıcı özelindedir.</em>",
+        "audioIsUnavailable": "Bu yayında ses yok",
+        "audioIsAvailable": "Bu yayında ses kullanılabilir",
+        "streamMethod": {
+          "label": "Yayın Yöntemi",
+          "method": {
+            "noStreaming": {
+              "label": "Yayın Yok",
+              "desc": "Kamera görüntüsü dakikda bir güncellenecektir ve canlı yayın yapılmayacaktır."
+            },
+            "continuousStreaming": {
+              "desc": {
+                "title": "Kamera görüntüsü panelde görüldüğü sürece, kamerada aktivite olmasa bile, canlı yayın şeklinde olacaktır.",
+                "warning": "Sürekli yayın yüksek internet kullanımına ve performans sorunlarına yol açabilir. Dikkatli kullanın."
+              },
+              "label": "Sürekli Yayın"
+            },
+            "smartStreaming": {
+              "label": "Akıllı yayın (önerilir)",
+              "desc": "Akıllı yayın özelliği, internet ve diğer kaynaklardan tasarruf için aktivite yokken yayının yerine dakikada bir güncellenen sabit resim gösterir. Kamerada aktivite tespit edildiğinde görüntü sabit resimden canlı yayına geçer."
+            }
+          },
+          "placeholder": "Bir yayın metodu seçin"
+        },
+        "compatibilityMode": {
+          "label": "Uyumluluk modu",
+          "desc": "Bu özelliği sadece kamera akışında renkli mozaiklenme yahut resmin sağ tarafında çizgi görüyorsanız etkinleştirin."
+        },
+        "placeholder": "Bir yayın seçin",
+        "stream": "Yayın"
+      }
+    },
+    "icon": "Simge",
+    "add": "Kamera Grubu Ekle",
+    "label": "Kamera Grupları",
+    "delete": {
+      "confirm": {
+        "desc": "<em>{{name}}</em> isimli kamera grubunu silmek istediğinizden emin misiniz?",
+        "title": "Silmeyi Onayla"
+      },
+      "label": "Kamera Grubunu Sil"
+    },
+    "edit": "Kamera Grubunu Düzenle",
+    "cameras": {
+      "desc": "Bu gruba dahil olacak kameraları seçin.",
+      "label": "Kameralar"
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Ayarlar",
+      "title": "Seçenekler",
+      "hideOptions": "Seçenekleri Gizle",
+      "showOptions": "Seçenekleri Göster"
+    },
+    "boundingBox": "Çerçeve",
+    "timestamp": "Zaman Damgası",
+    "zones": "Alanlar",
+    "mask": "Maske",
+    "motion": "Hareket",
+    "regions": "Tespit Bölgeleri"
+  }
+}
diff --git a/web/public/locales/tr/components/dialog.json b/web/public/locales/tr/components/dialog.json
new file mode 100644
index 000000000..acdb8ef1e
--- /dev/null
+++ b/web/public/locales/tr/components/dialog.json
@@ -0,0 +1,123 @@
+{
+  "restart": {
+    "title": "Frigate'i yeniden başlatmak istediğinize emin misiniz?",
+    "button": "Yeniden Başlat",
+    "restarting": {
+      "content": "Bu sayfa {{countdown}} saniye sonra yeniden yüklenecektir.",
+      "title": "Frigate Yeniden Başlatılıyor",
+      "button": "Şimdi Yeniden Yükle"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "state": {
+          "submitted": "Gönderildi"
+        },
+        "true": {
+          "true_one": "Bu bir {{label}}",
+          "true_other": "Bu bir {{label}}",
+          "label": "Frigate+ için bu etiketi onaylayın"
+        },
+        "false": {
+          "label": "Bu etiketi Frigate+ için onaylamaktan vazgeç",
+          "false_one": "Bu bir {{label}} değil",
+          "false_other": "Bu bir {{label}} değil"
+        },
+        "question": {
+          "ask_an": "Bu nesne bir <code>{{label}}</code> nesnesi mi?",
+          "label": "Bu etiketi Frigate+ için onaylayın",
+          "ask_a": "Bu nesne bir <code>{{label}}</code> mi?",
+          "ask_full": "Bu nesne bir <code>{{untranslatedLabel}}</code> ({{translatedLabel}}) nesnesi mi?"
+        }
+      },
+      "submitToPlus": {
+        "label": "Frigate+'ya Gönder",
+        "desc": "Görülmesini istemediğiniz yerlerdeki nesneler yanlış pozitif değildir. Bunları yanlış pozitif olarak göndermek modeli yanıltacaktır."
+      }
+    },
+    "video": {
+      "viewInHistory": "Geçmiş Görünümünde Görüntüle"
+    }
+  },
+  "export": {
+    "time": {
+      "end": {
+        "label": "Bitiş Zamanını Seç",
+        "title": "Bitiş Zamanı"
+      },
+      "lastHour_one": "Son 1 Saat",
+      "lastHour_other": "Son {{count}} Saat",
+      "start": {
+        "title": "Başlangıç Zamanı",
+        "label": "Başlangıç Zamanını Seç"
+      },
+      "fromTimeline": "Zaman Şeridinde Seç",
+      "custom": "Özel"
+    },
+    "select": "Seç",
+    "export": "Dışa Aktar",
+    "selectOrExport": "Seç veya Dışa Aktar",
+    "toast": {
+      "success": "Dışa aktarım başladı. Dosyaya /exports klasöründe veya Dışa Aktar sekmesinden ulaşabilirsiniz.",
+      "error": {
+        "failed": "Dışa aktarım başlatılamadı: {{error}}",
+        "endTimeMustAfterStartTime": "Bitiş zamanı başlangıç zamanından sonra olmalıdır",
+        "noVaildTimeSelected": "Geçerli bir zaman aralığı seçilmedi"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Dışa Aktarımı Kaydet",
+      "previewExport": "Dışa Aktarımı Önizle"
+    },
+    "name": {
+      "placeholder": "Dışa Aktarımı Adlandırın"
+    }
+  },
+  "streaming": {
+    "label": "Akış",
+    "restreaming": {
+      "disabled": "Bu kamera için Yeniden Akış devre dışı.",
+      "desc": {
+        "readTheDocumentation": "Dökümantasyonu oku",
+        "title": "Bu kameradan ek canlı gösterim seçenekleri ve sesli yayın almak için go2rtc'yi yapılandırın."
+      }
+    },
+    "showStats": {
+      "label": "Akış istatistiklerini göster",
+      "desc": "Kamera akışının üzerinde akış istastistiklerini görmek için bu seçeneği aktifleştirin."
+    },
+    "debugView": "Hata Ayıklama Görünümü"
+  },
+  "search": {
+    "saveSearch": {
+      "desc": "Kayıtlı aramaya bir isim verin.",
+      "placeholder": "Aramanız için bir isim girin",
+      "overwrite": "{{searchName}} zaten var. Bu isimle kaydetmek mevcut olanın üzerine yazacaktır.",
+      "label": "Aramayı Kaydet",
+      "button": {
+        "save": {
+          "label": "Bu aramayı kaydet"
+        }
+      },
+      "success": "Arama ({{searchName}}) kaydedildi."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Silmeyi Onayla",
+      "desc": {
+        "selected": "Bu inceleme öğesiyle ilişkili tüm kaydedilmiş videoları silmek istediğinizden emin misiniz?<br /><br />Gelecekte bu diyaloğu pas geçmek için <em>Shift</em> tuşuna basılı tutarak tıklatın."
+      },
+      "toast": {
+        "success": "Seçili incele öğelerinin ilişkili olduğu video kayıtları başarıyla silinmiştir.",
+        "error": "Siliemedi: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Dışa Aktar",
+      "markAsReviewed": "İncelendi olarak işaretle",
+      "deleteNow": "Şimdi Sil"
+    }
+  }
+}
diff --git a/web/public/locales/tr/components/filter.json b/web/public/locales/tr/components/filter.json
new file mode 100644
index 000000000..96565946f
--- /dev/null
+++ b/web/public/locales/tr/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "labels": {
+    "label": "Etiketler",
+    "all": {
+      "title": "Bütün Etiketler",
+      "short": "Etiketler"
+    },
+    "count": "{{count}} Etiket",
+    "count_one": "{{count}} Etiket",
+    "count_other": "{{count}} Etiket"
+  },
+  "dates": {
+    "all": {
+      "title": "Tüm Tarihler",
+      "short": "Tarihler"
+    },
+    "selectPreset": "Ön ayar seçin…"
+  },
+  "sort": {
+    "label": "Sırala",
+    "dateAsc": "Tarih (Artan)",
+    "dateDesc": "Tarih (Azalan)",
+    "scoreAsc": "Nesne Skoru (Artan)",
+    "scoreDesc": "Nesne Skoru (Azalan)",
+    "speedAsc": "Tahmini Hız (Artan)",
+    "relevance": "Alaka",
+    "speedDesc": "Tahmini Hız (Azalan)"
+  },
+  "filter": "Filtre",
+  "zones": {
+    "all": {
+      "short": "Alanlar",
+      "title": "Bütün Alanlar"
+    },
+    "label": "Alanlar"
+  },
+  "reset": {
+    "label": "Filtreleri varsayılanlara sıfırla"
+  },
+  "features": {
+    "submittedToFrigatePlus": {
+      "tips": "Öncelikle izlenen nesneler içinde fotoğrafı olanlar için filtre uygulamalısınız.<br /><br />Fotoğrafı olmayan nesneler Frigate+’a gönderilemez.",
+      "label": "Frigate+'a Gönderildi"
+    },
+    "hasVideoClip": "Video klibi var",
+    "hasSnapshot": "Fotoğrafı var",
+    "label": "Özellikler"
+  },
+  "score": "Skor",
+  "estimatedSpeed": "Tahmini Hız ({{unit}})",
+  "timeRange": "Zaman Aralığı",
+  "subLabels": {
+    "all": "Tüm Alt Etiketler",
+    "label": "Alt Etiketler"
+  },
+  "more": "Daha Fazla Filtre",
+  "cameras": {
+    "all": {
+      "short": "Kameralar",
+      "title": "Tüm Kameralar"
+    },
+    "label": "Kameraları Filtrele"
+  },
+  "review": {
+    "showReviewed": "İncelenenleri de Göster"
+  },
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "summary": "Özet",
+        "title": "Varsayılan Görünüm",
+        "unfilteredGrid": "Filtresiz Izgara",
+        "desc": "Filtre seçilmediğinde, her etiket için en son izlenen nesnelerin özeti ya da filtresiz ızgara görünümü gösterilir."
+      },
+      "gridColumns": {
+        "title": "Izgara Sütun Sayısı",
+        "desc": "Izgara görünümüde gösterilecek sütun sayısı."
+      },
+      "title": "Ayarlar",
+      "searchSource": {
+        "options": {
+          "thumbnailImage": "Küçük Resim",
+          "description": "Metin Açıklaması"
+        },
+        "label": "Arama kaynağı",
+        "desc": "Aramanızda küçük resimleri mi yoksa açıklamaları mı kullanacağınızı seçin."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Filtrelemek için tarih seçin"
+      }
+    }
+  },
+  "logSettings": {
+    "filterBySeverity": "Önceliğe göre günlükleri filtrele",
+    "disableLogStreaming": "Günlük akışını devre dışı bırak",
+    "allLogs": "Tüm günlükler",
+    "loading": {
+      "title": "Günlük Akışı",
+      "desc": "Günlükler sayfası en aşağıya kaydırıldığında yeni günlük satırları geldikçe aşağıya eklenir."
+    },
+    "label": "Düzeye göre günlükleri filtrele"
+  },
+  "trackedObjectDelete": {
+    "toast": {
+      "success": "Takip edilen nesneler başarıyla silindi.",
+      "error": "Takip edilen nesneler silinemedi: {{errorMessage}}"
+    },
+    "title": "Silmeyi onayla",
+    "desc": "Bu {{objectLength}} adet izlenen nesneyi sildiğinizde ilgili tüm fotoğraflar, kaydedilmiş tüm gömüler ve ilişkili tüm Nesne Geçmişi kayıtları kaldırılır. Bu izlenen nesnelere ait Geçmiş görünümündeki kayıtlı görüntüler <em>SİLİNMEYECEKTİR.</em><br /><br />Devam etmek istediğinize emin misiniz?<br /><br />Gelecekte bu diyaloğu pas geçmek için <em>Shift</em> tuşuna basılı tutarak tıklayın."
+  },
+  "recognizedLicensePlates": {
+    "selectPlatesFromList": "Listeden bir veya birden fazla plaka seçin.",
+    "placeholder": "Plaka ara…",
+    "loading": "Tanınan plakalar yükleniyor…",
+    "title": "Tanınan Plakalar",
+    "noLicensePlatesFound": "Plaka bulunamadı.",
+    "loadFailed": "Tanınan plakalar yüklenemedi."
+  },
+  "motion": {
+    "showMotionOnly": "Yalnızca Hareket Olanları Göster"
+  },
+  "zoneMask": {
+    "filterBy": "Alana göre filtrele"
+  }
+}
diff --git a/web/public/locales/tr/components/icons.json b/web/public/locales/tr/components/icons.json
new file mode 100644
index 000000000..30c0e1d44
--- /dev/null
+++ b/web/public/locales/tr/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "search": {
+      "placeholder": "Bir simge arayın…"
+    },
+    "selectIcon": "Bir simge belirleyin"
+  }
+}
diff --git a/web/public/locales/tr/components/input.json b/web/public/locales/tr/components/input.json
new file mode 100644
index 000000000..bbaa987f4
--- /dev/null
+++ b/web/public/locales/tr/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Videoyu İndir",
+      "toast": {
+        "success": "İncele öğesinin videosu indirilmeye başlandı."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/tr/components/player.json b/web/public/locales/tr/components/player.json
new file mode 100644
index 000000000..6a7950369
--- /dev/null
+++ b/web/public/locales/tr/components/player.json
@@ -0,0 +1,51 @@
+{
+  "streamOffline": {
+    "title": "Yayın Çevrimdışı",
+    "desc": "{{cameraName}} isimli kameranın <code>tespit</code> akışından hiç bir görüntü alınamadı, hata günlüklerini kontrol edin"
+  },
+  "stats": {
+    "streamType": {
+      "title": "Yayın Türü:",
+      "short": "Tür"
+    },
+    "latency": {
+      "value": "{{seconds}} saniye",
+      "short": {
+        "title": "Gecikme",
+        "value": "{{seconds}} sn"
+      },
+      "title": "Gecikme:"
+    },
+    "bandwidth": {
+      "title": "Bant genişliği:",
+      "short": "Bant genişliği"
+    },
+    "decodedFrames": "Çözülen kareler:",
+    "droppedFrameRate": "Atlanan Kare Oranı:",
+    "totalFrames": "Toplam Kareler:",
+    "droppedFrames": {
+      "short": {
+        "title": "Atlanan",
+        "value": "{{droppedFrames}} kare"
+      },
+      "title": "Atlanan Kareler:"
+    }
+  },
+  "noPreviewFound": "Önizleme Bulunamadı",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Kare başarıyla Frigate+'a gönderildi"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Kare Frigate+'a gönderilemedi"
+    }
+  },
+  "noRecordingsFoundForThisTime": "Bu zaman aralığı için kayıt bulunamadı",
+  "cameraDisabled": "Kamera devre dışı bırakıldı",
+  "noPreviewFoundFor": "{{cameraName}} için Önizleme Bulunamadı",
+  "livePlayerRequiredIOSVersion": "Bu canlı yayın türü için iOS 17.1 veya daha yeni sürüm gereklidir.",
+  "submitFrigatePlus": {
+    "title": "Bu kare Frigate+'ya gönderilsin mi?",
+    "submit": "Gönder"
+  }
+}
diff --git a/web/public/locales/tr/objects.json b/web/public/locales/tr/objects.json
new file mode 100644
index 000000000..fb07a0965
--- /dev/null
+++ b/web/public/locales/tr/objects.json
@@ -0,0 +1,120 @@
+{
+  "dog": "köpek",
+  "cat": "kedi",
+  "animal": "hayvan",
+  "bark": "havlama",
+  "blender": "mikser",
+  "mouse": "fare",
+  "door": "kapı",
+  "sink": "lavabo",
+  "boat": "bot",
+  "skateboard": "kaykay",
+  "sheep": "koyun",
+  "bicycle": "bisiklet",
+  "motorcycle": "motosiklet",
+  "bird": "kuş",
+  "car": "araba",
+  "bus": "otobüs",
+  "goat": "keçi",
+  "hair_dryer": "saç kurutma makinesi",
+  "clock": "saat",
+  "scissors": "makas",
+  "vehicle": "araç",
+  "keyboard": "klavye",
+  "toothbrush": "diş fırçası",
+  "horse": "at",
+  "train": "tren",
+  "handbag": "El Çantası",
+  "umbrella": "Şemsiye",
+  "shoe": "Ayakkabı",
+  "eye_glasses": "Gözlük",
+  "desk": "Masa",
+  "remote": "Uzaktan Kumanda",
+  "refrigerator": "Buzdolabı",
+  "book": "Kitap",
+  "hair_brush": "Saç Fırçası",
+  "squirrel": "Sincap",
+  "waste_bin": "Çöp Kutusu",
+  "face": "Yüz",
+  "license_plate": "Araç Plakası",
+  "an_post": "An Post",
+  "sandwich": "Sandviç",
+  "couch": "Koltuk",
+  "baseball_glove": "Beyzbol Eldiveni",
+  "donut": "Donut",
+  "bed": "Yatak",
+  "backpack": "Sırt Çantası",
+  "parking_meter": "Parkmetre",
+  "stop_sign": "Dur Tabelası",
+  "person": "İnsan",
+  "bear": "Ayı",
+  "hat": "Şapka",
+  "orange": "Portakal",
+  "dining_table": "Yemek Masası",
+  "traffic_light": "Trafik Lambası",
+  "giraffe": "Zürafa",
+  "fire_hydrant": "Yangın Musluğu",
+  "street_sign": "Sokak Tabelası",
+  "mirror": "Ayna",
+  "banana": "Muz",
+  "carrot": "Havuç",
+  "pizza": "Pizza",
+  "vase": "Vazo",
+  "nzpost": "NZPost",
+  "bench": "Bank",
+  "elephant": "Fil",
+  "spoon": "Kaşık",
+  "laptop": "Dizüstü Bilgisayar",
+  "frisbee": "Frizbi",
+  "skis": "Kayak",
+  "kite": "Uçurtma",
+  "bottle": "Şişe",
+  "cup": "Fincan",
+  "knife": "Bıçak",
+  "bowl": "Kase",
+  "package": "Paket",
+  "airplane": "Uçak",
+  "snowboard": "Kar Kayağı",
+  "usps": "USPS",
+  "ups": "UPS",
+  "cow": "İnek",
+  "zebra": "Zebra",
+  "suitcase": "Bavul",
+  "sports_ball": "Spor Topu",
+  "baseball_bat": "Beyzbol Sopası",
+  "surfboard": "Sörf Tahtası",
+  "plate": "Plaka",
+  "broccoli": "Brokoli",
+  "tv": "Televizyon",
+  "cell_phone": "Cep Telefonu",
+  "teddy_bear": "Ayıcık",
+  "deer": "Geyik",
+  "fox": "Tilki",
+  "purolator": "Purolator",
+  "fork": "Çatal",
+  "toilet": "Tuvalet",
+  "window": "Pencere",
+  "microwave": "Mikrodalga Fırın",
+  "hot_dog": "Sosisli Sandviç",
+  "wine_glass": "Şarap Bardağı",
+  "cake": "Kek",
+  "potted_plant": "Saksı Bitkisi",
+  "bbq_grill": "Izgara",
+  "tennis_racket": "Tenis Raketi",
+  "dhl": "DHL",
+  "raccoon": "Rakun",
+  "robot_lawnmower": "Robot Çim Biçme Makinesi",
+  "toaster": "Tost Makinesi",
+  "apple": "Elma",
+  "amazon": "Amazon",
+  "rabbit": "Tavşan",
+  "chair": "Sandalye",
+  "postnl": "PostNL",
+  "oven": "Fırın",
+  "fedex": "FedEx",
+  "on_demand": "İstenildiğinde",
+  "tie": "Kravat",
+  "dpd": "DPD",
+  "gls": "GLS",
+  "postnord": "PostNord"
+}
diff --git a/web/public/locales/tr/views/configEditor.json b/web/public/locales/tr/views/configEditor.json
new file mode 100644
index 000000000..c4aa01b6b
--- /dev/null
+++ b/web/public/locales/tr/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "saveOnly": "Sadece Kaydet",
+  "toast": {
+    "error": {
+      "savingError": "Yapılandırma kaydedilirken hata"
+    },
+    "success": {
+      "copyToClipboard": "Yapılandırma panoya kopyalandı."
+    }
+  },
+  "copyConfig": "Yapılandırmayı Kopyala",
+  "configEditor": "Yapılandırma Düzenleyicisi",
+  "documentTitle": "Yapılandırma Düzenleyicisi - Frigate",
+  "saveAndRestart": "Kaydet & Yeniden Başlat",
+  "confirm": "Kaydetmeden çıkılsın mı?"
+}
diff --git a/web/public/locales/tr/views/events.json b/web/public/locales/tr/views/events.json
new file mode 100644
index 000000000..3f363c70f
--- /dev/null
+++ b/web/public/locales/tr/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "kamera",
+  "alerts": "Alarmlar",
+  "detections": "Tespitler",
+  "empty": {
+    "detection": "İncelenecek tespit öğesi yok",
+    "alert": "İncelenecek alarm öğesi yok",
+    "motion": "Hareket verisi bulunamadı"
+  },
+  "timeline": "Zaman şeridi",
+  "events": {
+    "aria": "Olayları seçin",
+    "noFoundForTimePeriod": "Seçili zaman aralığında olay bulunamadı.",
+    "label": "Olaylar"
+  },
+  "recordings": {
+    "documentTitle": "Kayıtlar - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Son 24 Saat"
+  },
+  "markAsReviewed": "İncelendi Olarak İşaretle",
+  "newReviewItems": {
+    "button": "Yeni İncelenecek Öğeler Var",
+    "label": "Yeni inceleme öğelerini göster"
+  },
+  "documentTitle": "İncele - Frigate",
+  "motion": {
+    "label": "Hareket",
+    "only": "Yalnızca hareket"
+  },
+  "timeline.aria": "Zaman şeridi seçin",
+  "markTheseItemsAsReviewed": "Bunları incelendi olarak işaretle",
+  "allCameras": "Tüm Kameralar",
+  "selected_one": "{{count}} seçildi",
+  "selected_other": "{{count}} seçildi",
+  "detected": "algılandı"
+}
diff --git a/web/public/locales/tr/views/explore.json b/web/public/locales/tr/views/explore.json
new file mode 100644
index 000000000..485fe9b43
--- /dev/null
+++ b/web/public/locales/tr/views/explore.json
@@ -0,0 +1,207 @@
+{
+  "documentTitle": "Keşfet - Frigate",
+  "details": {
+    "timestamp": "Zaman Damgası",
+    "item": {
+      "title": "Nesne Detaylarını İncele",
+      "desc": "Nesne detaylarıın incele",
+      "button": {
+        "share": "Bu incele öğesini paylaş",
+        "viewInExplore": "Keşfet'te Görüntüle"
+      },
+      "tips": {
+        "hasMissingObjects": "Eğer Frigate'in <em>{{objects}}</em> etiketine sahip nesneleri kaydetmesini istiyorsanız yapılandırmanızı buna göre ayarlayın.",
+        "mismatch_one": "Tespit edilmiş olan bir nesne bu İncele öğesine dahil edildi. Bu nesne Alarm veya Tespit olarak derecelendirilemedi veya çoktan silindi/temizlendi.",
+        "mismatch_other": "Tespit edilmiş olan {{count}} adet nesne bu İncele öğesine dahil edildi. Bu nesneler Alarm veya Tespit olarak derecelendirilemedi veya çoktan silindi/temizlendi."
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "Alt etiket başarıyla gücellendi.",
+          "regenerate": "Yeni bir açıklama {{provider}} sağlayıcısından talep edildi. Sağlayıcının hızına bağlı olarak yeni açıklamanın oluşturulması biraz zaman alabilir.",
+          "updatedLPR": "Plaka başarıyla güncellendi."
+        },
+        "error": {
+          "updatedSublabelFailed": "Alt etiket güncellenemedi: {{errorMessage}}",
+          "regenerate": "{{provider}} sağlayıcısından yeni açıklama talep edilemedi: {{errorMessage}}",
+          "updatedLPRFailed": "Plaka güncellenemedi: {{errorMessage}}"
+        }
+      }
+    },
+    "label": "Etiket",
+    "editSubLabel": {
+      "desc": "Bu {{label}} için yeni bir alt etiket girin",
+      "descNoLabel": "Bu takip edilmiş nesne için yeni bir alt etiket girin",
+      "title": "Alt etiketi gücelle"
+    },
+    "estimatedSpeed": "Tahmini Hız",
+    "camera": "Kamera",
+    "zones": "Alanlar",
+    "description": {
+      "label": "Açıklama",
+      "aiTips": "Frigate, Nesne Geçmişi tamamlanana kadar Üretken Yapay Zeka sağlayıcısından bir resim açıklaması talep etmeyecektir.",
+      "placeholder": "Takip edilen nesnenin açıklaması"
+    },
+    "expandRegenerationMenu": "Yeniden Üret menüsünü genişlet",
+    "regenerateFromSnapshot": "Fotoğraftan Üret",
+    "regenerateFromThumbnails": "Küçük Resimden Üret",
+    "tips": {
+      "descriptionSaved": "Açıklama başarıyla kaydedildi",
+      "saveDescriptionFailed": "Açıklama güncellenemedi: {{errorMessage}}"
+    },
+    "button": {
+      "regenerate": {
+        "label": "Nesne açıklaması yeniden üretildi",
+        "title": "Yeniden Üret"
+      },
+      "findSimilar": "Benzerini Bul"
+    },
+    "topScore": {
+      "info": "Tepe skor, bir takip edilen nesne için en yüksek ortalama puandır ve arama sonucundaki küçük resimde gösterilen puandan farklı olabilir.",
+      "label": "Tepe Skor"
+    },
+    "objects": "Nesneler",
+    "editLPR": {
+      "title": "Plakayı düzenle",
+      "desc": "Bu {{label}} için yeni bir plaka değeri girin",
+      "descNoLabel": "Bu nesne için yeni bir plaka değeri girin"
+    },
+    "recognizedLicensePlate": "Tanınan Plaka",
+    "snapshotScore": {
+      "label": "Fotoğraf Skoru"
+    }
+  },
+  "generativeAI": "Üretken Yapay Zeka",
+  "exploreIsUnavailable": {
+    "title": "Keşfet şu anda kullanılamıyor",
+    "embeddingsReindexing": {
+      "startingUp": "Başlatılıyor…",
+      "estimatedTime": "Tahmini kalan süre:",
+      "step": {
+        "thumbnailsEmbedded": "Gömü eklenen küçük resimler: ",
+        "descriptionsEmbedded": "Gömü eklenen açıklamalar: ",
+        "trackedObjectsProcessed": "İşlenen takip edilen nesneler: "
+      },
+      "finishingShortly": "Birazdan tamamlanacak",
+      "context": "Keşfet sayfası nesnelerin gömülerinin yeniden dizinlemesi tamamlandığında kullanılabilecektir."
+    },
+    "downloadingModels": {
+      "setup": {
+        "visionModel": "Görüş modeli",
+        "visionModelFeatureExtractor": "Görüş modeli özellik çıkarmcısı",
+        "textModel": "Metin modeli",
+        "textTokenizer": "Metin tokenizeri"
+      },
+      "error": "Bir hata oluştu. Frigate günlüklerini kontrol edin.",
+      "tips": {
+        "documentation": "Dökümantasyonu oku",
+        "context": "Model indirildikten sonra takip edilmiş nesnelerinizin gömüleri tekrar dizinlemeyi tercih edebilirsiniz."
+      },
+      "context": "Frigate, Anlamsal Arama özelliği için gerekli olan gömü modellerini indiriyor. Ağ bağlantınızın hızına göre bu işlem bir kaç dakika sürebilir."
+    }
+  },
+  "trackedObjectDetails": "Takip Edilen Nesne Detayları",
+  "type": {
+    "details": "detaylar",
+    "object_lifecycle": "nesne geçmişi",
+    "snapshot": "fotoğraf",
+    "video": "video"
+  },
+  "objectLifecycle": {
+    "title": "Nesne Geçmişi",
+    "noImageFound": "Bu zaman damgası için bir resim bulunamadı.",
+    "createObjectMask": "Nesne Maskesi Oluştur",
+    "adjustAnnotationSettings": "Belirteç ayarları",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} tespit edildi",
+      "entered_zone": "{{label}} {{zones}} alanına girdi",
+      "active": "{{label}} inaktif oldu",
+      "heard": "{{label}} duyuldu",
+      "external": "{{label}} tespit edildi",
+      "stationary": "{{label}} sabit durdu",
+      "attribute": {
+        "other": "{{label}} {{attribute}} olarak tespit edildi",
+        "faceOrLicense_plate": "{{label}} için {{attribute}} tespit edildi"
+      },
+      "gone": "{{label}} ayrıldı",
+      "header": {
+        "zones": "Alanlar",
+        "ratio": "Oran",
+        "area": "Alan"
+      }
+    },
+    "annotationSettings": {
+      "offset": {
+        "label": "Belirteç telafisi",
+        "documentation": "Dökümantasyonu oku ",
+        "millisecondsToOffset": "Belirteç gecikmesi. <em>Varsayılan: 0</em>",
+        "desc": "Tespit belirteç verisi kameranızın tespit yayınından gelir fakat kameranızın kayıt yayını üzerine çizilir. Bu iki yayın zaman zaman senkrondan kayar. Bunun sonucu olarak görüntü ve belirteç karelerinin zaman uyumu kayabilir. Bunu telafi etmek için <code>annotation_offset</code> alanı kullanılarak gecikmeyi ayarlanabilir.",
+        "tips": "İPUCU: Videoda bir kişinin soldan sağa doğru yürüdüğünü hayal edin. Eğer belirteç sürekli olarak kişinin solunda/arkasında ise bu değer daha küçük veya negatif olarak ayarlanmalıdır. Benzer şekilde, eğer kişi sağdan sola doğru yürürken belirteç karesi sürekli olarak kişinin önünde/sağında kalıyorsa bu değer daha büyük veya pozitif olarak ayarlanmalıdır.",
+        "toast": {
+          "success": "{{camera}} kamerası için belirteç telafi değeri yapılandırma dosyasına kaydedildi. Değişikliklerin uygulamak için Frigate'i yeniden başlatın."
+        }
+      },
+      "title": "Belirteç Ayarları",
+      "showAllZones": {
+        "title": "Tüm Alanları Göster",
+        "desc": "Nesnelerin bir alana girdiği karelerde her zaman alanları göster."
+      }
+    },
+    "carousel": {
+      "next": "Sonraki sayfa",
+      "previous": "Önceki sayfa"
+    },
+    "scrollViewTips": "Bu nesnenin geçmişindeki önemli noktaları görmek için kaydırın.",
+    "autoTrackingTips": "Otomatik takip yapılan kameralarda gösterilen çerçeveler hatalı olacaktır.",
+    "count": "Toplam {{second}} kerede {{first}} kez",
+    "trackedPoint": "Takip Edilen Nokta"
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Videoyu indir",
+      "aria": "Videoyu indir"
+    },
+    "findSimilar": {
+      "aria": "Benzer takip edilen nesneleri bul",
+      "label": "Benzerini bul"
+    },
+    "submitToPlus": {
+      "label": "Frigate+'a gönder",
+      "aria": "Frigate+'a gönder"
+    },
+    "viewInHistory": {
+      "label": "Geçmiş görünümünde görüntüle",
+      "aria": "Geçmiş görünümünde görüntüle"
+    },
+    "deleteTrackedObject": {
+      "label": "Bu takip edilen nesneyi sil"
+    },
+    "viewObjectLifecycle": {
+      "aria": "Nesne yaşam döngüsünü göster",
+      "label": "Nesne yaşam döngüsünü göster"
+    },
+    "downloadSnapshot": {
+      "aria": "Fotoğrafı indir",
+      "label": "Fotoğrafı indir"
+    }
+  },
+  "noTrackedObjects": "Takip Edilen Nesne Bulunamadı",
+  "fetchingTrackedObjectsFailed": "Takip edilen nesneler getirilirken hata: {{errorMessage}}",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Takip edilen nesne silinemedi: {{errorMessage}}",
+        "success": "Takip edilen nesne başarıyla silindi."
+      }
+    },
+    "tooltip": "Eşleşme: {{type}} (%{{confidence}})"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "desc": "Bu takip edilen nesneyi silmek nesne fotoğrafını, ilişkili gömüyü ve ilişkili yaşam döngüsü kayıtlarını siler. Video kayıt görüntüleri geçmiş görünümünden <em>SİLİNMEYECEKTİR.</em> <br /><br />Devam etmek istediğinize emin misiniz?",
+      "title": "Silmeyi onayla"
+    }
+  },
+  "trackedObjectsCount_one": "{{count}} adet takip edilen nesne ",
+  "trackedObjectsCount_other": "{{count}} adet takip edilen nesne ",
+  "exploreMore": "Daha fazla {{label}} nesnesini keşfet"
+}
diff --git a/web/public/locales/tr/views/exports.json b/web/public/locales/tr/views/exports.json
new file mode 100644
index 000000000..3a1d19512
--- /dev/null
+++ b/web/public/locales/tr/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Arama",
+  "documentTitle": "Dışa Aktar - Frigate",
+  "deleteExport": "Dışa Aktarımı Sil",
+  "deleteExport.desc": "{{exportName}} adlı dışa aktarımı silmek istediğinize emin misiniz?",
+  "editExport": {
+    "saveExport": "Dışa Aktarımı Kaydet",
+    "desc": "Bu dışa aktarım için yeni bir isim girin.",
+    "title": "Dışa Aktarımı Yeniden Adlandır"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Dışa aktarım adlandırılamadı: {{errorMessage}}"
+    }
+  },
+  "noExports": "Dışa aktarım bulunamadı"
+}
diff --git a/web/public/locales/tr/views/faceLibrary.json b/web/public/locales/tr/views/faceLibrary.json
new file mode 100644
index 000000000..428d6eaf2
--- /dev/null
+++ b/web/public/locales/tr/views/faceLibrary.json
@@ -0,0 +1,100 @@
+{
+  "selectItem": "{{item}} seçin",
+  "description": {
+    "placeholder": "Bu koleksiyona bir isim verin",
+    "addFace": "Yüz Kütüphanesi’ne yeni bir koleksiyon ekleme adımlarını takip edin.",
+    "invalidName": "Geçersiz isim. İsimlerde yalnızca harf, sayı, boşluk, kesme işareti, tire veya alt çizgi kullanılabilir."
+  },
+  "details": {
+    "person": "İnsan",
+    "faceDesc": "Yüz ve ilişkili nesneye ait detaylar",
+    "confidence": "Kesinlik",
+    "timestamp": "Zaman Damgası",
+    "face": "Yüz Detayları",
+    "scoreInfo": "Alt etiket skoru, tanınan tüm yüzlerin güvenilirlik değerlerinin ağırlıklı ortalamasından elde edilir, dolayısıyla fotoğraf üzerinde gösterilen skordan farklı olabilir.",
+    "subLabelScore": "Alt Etiket Puanı",
+    "unknown": "Bilinmeyen"
+  },
+  "documentTitle": "Yüz Kütüphanesi - Frigate",
+  "uploadFaceImage": {
+    "title": "Yüz Resmi Yükle",
+    "desc": "Yüzleri taramak ve {{pageToggle}} için dahil etmek üzere bir resim yükleyin"
+  },
+  "createFaceLibrary": {
+    "desc": "Yeni bir yüz koleksiyonu oluşturun",
+    "new": "Yeni Yüz Oluştur",
+    "title": "Koleksiyon Oluştur",
+    "nextSteps": "Sağlam bir temel oluşturmak için:<li>Her tespit edilen kişi için 'Eğit' sekmesinden resimler seçip eğitin.</li><li>En iyi sonuçlar için doğrudan karşıdan çekilmiş yüz resimlerine odaklanın; açılı yüz resimlerinden kaçının.</li></ul>"
+  },
+  "train": {
+    "title": "Eğit",
+    "aria": "Eğitimi seç",
+    "empty": "Yakın zamanda yüz tanıma denemesi olmadı"
+  },
+  "deleteFaceLibrary": {
+    "title": "İsmi Sil",
+    "desc": "{{name}} koleksiyonunu silmek istediğinizden emin misiniz? Bu işlem, ilişkili tüm yüzleri kalıcı olarak silecektir."
+  },
+  "button": {
+    "deleteFaceAttempts": "Yüzleri Sil",
+    "addFace": "Yüz Ekle",
+    "reprocessFace": "Yüzü Yeniden İşle",
+    "uploadImage": "Resim Yükle",
+    "renameFace": "Yüzü Yeniden Adlandır",
+    "deleteFace": "Yüzü Sil"
+  },
+  "imageEntry": {
+    "dropActive": "Resmi buraya bırakın…",
+    "maxSize": "Maksimum boyut: {{size}} MB",
+    "validation": {
+      "selectImage": "Lütfen bir resim dosyası seçin."
+    },
+    "dropInstructions": "Bir resmi buraya sürükleyip bırakın ya da tıklayarak seçin"
+  },
+  "trainFaceAs": "Yüzü şu olarak eğit:",
+  "toast": {
+    "success": {
+      "deletedFace_one": "{{count}} yüz başarıyla silindi.",
+      "deletedFace_other": "{{count}} yüz başarıyla silindi.",
+      "deletedName_one": "{{count}} yüz başarıyla silindi.",
+      "deletedName_other": "{{count}} yüz başarıyla silindi.",
+      "addFaceLibrary": "{{name}} başarıyla Yüz Kütüphanesi’ne eklendi!",
+      "trainedFace": "Yüz başarıyla eğitildi.",
+      "uploadedImage": "Resim başarıyla yüklendi.",
+      "updatedFaceScore": "Yüz skoru başarıyla güncellendi.",
+      "renamedFace": "Yüz başarıyla {{name}} olarak adlandırıldı"
+    },
+    "error": {
+      "uploadingImageFailed": "Resim yüklenemedi: {{errorMessage}}",
+      "addFaceLibraryFailed": "Yüz ismi ayarlanamadı: {{errorMessage}}",
+      "updateFaceScoreFailed": "Yüz skoru güncellenemedi: {{errorMessage}}",
+      "trainFailed": "Eğitme işlemi başarısız oldu: {{errorMessage}}",
+      "deleteFaceFailed": "Silme işlemi başarısız: {{errorMessage}}",
+      "deleteNameFailed": "İsim silinemedi: {{errorMessage}}",
+      "renameFaceFailed": "Yüz yeniden adlandırılamadı: {{errorMessage}}"
+    }
+  },
+  "readTheDocs": "Dokümantasyonu oku",
+  "selectFace": "Yüz Seçin",
+  "trainFace": "Yüzü Eğit",
+  "steps": {
+    "faceName": "Yüze İsim Verin",
+    "uploadFace": "Yüz Resmi Yükle",
+    "nextSteps": "Sonraki Adımlar",
+    "description": {
+      "uploadFace": "{{name}}'ın yüzünü direkt karşıdan, ön açıdan gösteren bir fotoğraf yükleyin. Fotoğrafı yalnızca yüzü kalacak şekilde kırpmanıza gerek YOKTUR."
+    }
+  },
+  "renameFace": {
+    "title": "Yüzü Yeniden Adlandır",
+    "desc": "{{name}} için yeni bir isim girin"
+  },
+  "collections": "Koleksiyonlar",
+  "deleteFaceAttempts": {
+    "title": "Yüzleri Sil",
+    "desc_one": "Bir adet yüzü silmek istediğinize emin misiniz? Bu işlem geri alınamaz.",
+    "desc_other": "{{count}} adet yüzü silmek istediğinize emin misiniz? Bu işlem geri alınamaz."
+  },
+  "nofaces": "Yüz bulunamadı",
+  "pixels": "{{area}}px"
+}
diff --git a/web/public/locales/tr/views/live.json b/web/public/locales/tr/views/live.json
new file mode 100644
index 000000000..88f040856
--- /dev/null
+++ b/web/public/locales/tr/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Canlı - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Canlı - Frigate",
+  "muteCameras": {
+    "disable": "Tüm Kameraların Sesini Aç",
+    "enable": "Tüm Kameraları Sustur"
+  },
+  "autotracking": {
+    "disable": "Otomatik Takibi Kapat",
+    "enable": "Otomatik Takibi Aç"
+  },
+  "manualRecording": {
+    "start": "Talep üzerine kaydı başlat",
+    "failedToEnd": "Manuel talep üzerine kayıt bitirilemedi.",
+    "recordDisabledTips": "Kamera konfigürasyonunda kayıtlar devre dışı bırakıldığı veya kısıtlandığı için yalnızca bir fotoğraf kaydedilcektir.",
+    "showStats": {
+      "desc": "Yayın istatistiklerini göstermek için bu seçeneği açın.",
+      "label": "İstatistikleri Göster"
+    },
+    "started": "Manuel talep üzerine kayıt başlatıldı.",
+    "failedToStart": "Manuel talep üzerine kayıt başlatılamadı.",
+    "title": "İsteğe Bağlı Kayıt",
+    "end": "Talep üzerine kaydı bitir",
+    "debugView": "Hata Ayıklama Görünümü",
+    "ended": "Manuel talep üzerine kayıt bitirildi.",
+    "tips": "Bu kameranın kayıt tutma ayarları kapsamında manuel olarak bir olay başlatın.",
+    "playInBackground": {
+      "label": "Arka planda oynat",
+      "desc": "Yayını oynatıcı arkadayken de devam ettirmek için bu seçeneği açın."
+    }
+  },
+  "stream": {
+    "audio": {
+      "tips": {
+        "documentation": "Dökümantasyonu oku ",
+        "title": "Bu yayın için kameranızın yayın çıkışında ses olması ve go2rtc'de ayarlanmış olması gerekmektedir."
+      },
+      "unavailable": "Bu yayında ses yok",
+      "available": "Bu yayında ses var"
+    },
+    "twoWayTalk": {
+      "tips": "Çift yönlü ses için cihazınızın ve kameranızın bu özelliği desteklemesi ve WebRTC'nin ayarlanmış olması gereklidir.",
+      "tips.documentation": "Dökümantasyonu oku ",
+      "available": "Bu yayında çift yönlü ses var",
+      "unavailable": "Bu yayında çift yönlü ses yok"
+    },
+    "lowBandwidth": {
+      "tips": "Canlı görünüm, yayında donmalar veya yayın hataları sebebiyle düşük bant genişliği moduna geçti.",
+      "resetStream": "Yayını sıfırla"
+    },
+    "playInBackground": {
+      "label": "Arka planda oynat",
+      "tips": "Yayını oynatıcı arkadayken de devam ettirmek için bu seçeneği açın."
+    },
+    "title": "Yayın"
+  },
+  "cameraSettings": {
+    "recording": "Kayıt",
+    "snapshots": "Fotoğraflar",
+    "title": "{{camera}} Ayarları",
+    "autotracking": "Otomatik Takip",
+    "cameraEnabled": "Kamera Açık",
+    "objectDetection": "Nesne Algılama",
+    "audioDetection": "Ses Algılama"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "active_objects": "Aktif nesneler",
+      "all": "Tümü",
+      "motion": "Hareket"
+    },
+    "notAllTips": "İlgili {{source}} kaynağındaki kayıt saklama politikanız <code> şu moda ayarlı: {{effectiveRetainMode}}</code>. Dolayısıyla şu anda gerçekleştirdiğiniz manuel talep üzerine kayıtta yalnızca {{effectiveRetainModeName}} içeren bölümler yer alacaktır."
+  },
+  "editLayout": {
+    "label": "Düzeni düzenle",
+    "group": {
+      "label": "Kamera Grubunu Düzenle"
+    },
+    "exitEdit": "Düzenlemeden Çık"
+  },
+  "cameraAudio": {
+    "enable": "Kamera sesini aç",
+    "disable": "Kamera sesini kapat"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "enable": "Tıklamayla gezintiyi aç",
+        "disable": "Tıklamayla gezintiyi kapat",
+        "label": "Kamerayı ortalamak için görüntüye tıklatın"
+      },
+      "down": {
+        "label": "PTZ kamerayı aşağı çevir"
+      },
+      "right": {
+        "label": "PTZ kamerayı sağa çevir"
+      },
+      "left": {
+        "label": "PTZ kameryı sağa çevir"
+      },
+      "up": {
+        "label": "PTZ kamerayı yukarı çevir"
+      }
+    },
+    "zoom": {
+      "out": {
+        "label": "PTZ kamerayı uzaklaştır"
+      },
+      "in": {
+        "label": "PTZ kamerayı yakınlaştır"
+      }
+    },
+    "presets": "PTZ kamera ön ayarları",
+    "frame": {
+      "center": {
+        "label": "PTZ kamerayı ortalamak için görüntüye tıklatın"
+      }
+    }
+  },
+  "history": {
+    "label": "Geçmiş görüntüleri göster"
+  },
+  "camera": {
+    "enable": "Kamerayı aç",
+    "disable": "Kamerayı kapat"
+  },
+  "suspend": {
+    "forTime": "Askıya alınma süresi: "
+  },
+  "twoWayTalk": {
+    "disable": "Çift yönli sesi kapat",
+    "enable": "Çift yönli sesi aç"
+  },
+  "snapshots": {
+    "enable": "Resimleri Aç",
+    "disable": "Resimleri Kapat"
+  },
+  "audioDetect": {
+    "enable": "Ses Tespitini Aç",
+    "disable": "Ses Tespitini Kapat"
+  },
+  "streamStats": {
+    "disable": "Yayın İstatistiklerini Gizel",
+    "enable": "Yayın İstatistiklerini Göster"
+  },
+  "lowBandwidthMode": "Düşük bant genişliği modu",
+  "streamingSettings": "Yayın ayarları",
+  "audio": "Ses",
+  "recording": {
+    "enable": "Kaydı Aç",
+    "disable": "Kaydı Kapat"
+  },
+  "notifications": "Bildirimler",
+  "detect": {
+    "disable": "Tespiti Kapat",
+    "enable": "Tespiti Aç"
+  }
+}
diff --git a/web/public/locales/tr/views/recording.json b/web/public/locales/tr/views/recording.json
new file mode 100644
index 000000000..c113d368f
--- /dev/null
+++ b/web/public/locales/tr/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Filtre",
+  "export": "Dışa Aktar",
+  "filters": "Filtreler",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Geçerli bir zaman aralığı seçilmedi",
+      "endTimeMustAfterStartTime": "Bitiş zamanı başlangıç zamanında sonra olmalıdır"
+    }
+  },
+  "calendar": "Takvim"
+}
diff --git a/web/public/locales/tr/views/search.json b/web/public/locales/tr/views/search.json
new file mode 100644
index 000000000..059023308
--- /dev/null
+++ b/web/public/locales/tr/views/search.json
@@ -0,0 +1,74 @@
+{
+  "button": {
+    "save": "Aramayı kaydet",
+    "filterActive": "Fitreler açık",
+    "filterInformation": "Filtrele",
+    "clear": "Aramayı temizle",
+    "delete": "Kayıtlı aramayı sil"
+  },
+  "trackedObjectId": "Takip Edilen Nesne ID",
+  "filter": {
+    "label": {
+      "min_score": "Min. Skor",
+      "recognized_license_plate": "Tanınan Plaka",
+      "search_type": "Arama Türü",
+      "has_snapshot": "Fotoğrafı var",
+      "cameras": "Kameralar",
+      "max_score": "Maks. Skor",
+      "labels": "Etiketler",
+      "time_range": "Zaman Aralığı",
+      "before": "Önce",
+      "zones": "Alanlar",
+      "after": "Sonras",
+      "has_clip": "Klibi var",
+      "min_speed": "Min. Hız",
+      "sub_labels": "Alt Etiketler",
+      "max_speed": "Maks. Hız"
+    },
+    "searchType": {
+      "description": "Açıklama",
+      "thumbnail": "Küçük resim"
+    },
+    "tips": {
+      "title": "Metin filtreleri nasıl kullanılır",
+      "desc": {
+        "text": "Filtreler arama sonuçlarınızı daraltmanıza yardımcı olur. Giriş alanındaki kullanımları şöyledir:",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"> <li>Bir filtre adı yazın ve iki nokta üst üste (:) ile bitirin (örn. \"kameralar:\").</li> <li>Önerilerden bir değer seçin veya kendiniz yazın.</li> <li>Birden fazla filtreyi aralarına boşluk koyarak art arda ekleyip kullanın.</li> <li>Tarih filtreleri (before: ve after:) <em>{{DateFormat}}</em> biçimini kullanır.</li> <li>Zaman aralığı filtresi <em>{{exampleTime}}</em> biçimini kullanır.</li> <li>Filtreleri kaldırmak için yanlarındaki 'x'e tıklayın.</li></ul>",
+        "example": "Örnek(anahtar kelimeler ingilizce olmalıdır): <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
+        "exampleLabel": "Örnek:",
+        "step1": "Bir filtre anahtarını iki nokta üst üste ile beraber yazın (örn. belli kameraları seçmek için \"cameras:\").",
+        "step2": "Önerilen bir değer seçin veya kendiniz girin.",
+        "step3": "Birden fazla filtreyi aralarında boşluk bırakarak kullanabilirsiniz.",
+        "step4": "Tarih filtreleri (before: ve after:) {{DateFormat}} formatını kullanır.",
+        "step5": "Zaman aralığı filtreleri {{exampleTime}} formatını kullanır.",
+        "step6": "Filtreleri kaldırmak için yanlarındaki çarpıya basın."
+      }
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "'Önce' tarihi 'sonra' tarihinden sonra olmalıdır.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Maksimum skor, minimum skora eşit veya daha fazla olmalıdır.",
+        "minScoreMustBeLessOrEqualMaxScore": "Minimum skor, maksimum skora eşit veya daha az olmalıdır.",
+        "afterDatebeEarlierBefore": "'Sonra' tarihi 'Önce' tarihinden önce olmalıdır.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Maksimum hız, minimum hıza eşit veya daha fazla olmalıdır.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Minimum hız, maksimum hıza eşit veya daha az olmalıdır."
+      }
+    },
+    "header": {
+      "noFilters": "Filtreler",
+      "activeFilters": "Aktif Filtreler",
+      "currentFilterType": "Değerleri Filtrele"
+    }
+  },
+  "placeholder": {
+    "search": "Ara…"
+  },
+  "similaritySearch": {
+    "active": "Benzerlik araması aktif",
+    "title": "Benzerlik Araması",
+    "clear": "Benzerlik aramasını temizle"
+  },
+  "searchFor": "{{inputValue}} için Arat",
+  "search": "Arama",
+  "savedSearches": "Kayıtlı Aramalar"
+}
diff --git a/web/public/locales/tr/views/settings.json b/web/public/locales/tr/views/settings.json
new file mode 100644
index 000000000..590702370
--- /dev/null
+++ b/web/public/locales/tr/views/settings.json
@@ -0,0 +1,683 @@
+{
+  "documentTitle": {
+    "default": "Ayarlar - Frigate",
+    "classification": "Sınıflandırma Ayarları - Frigate",
+    "camera": "Kamera Ayarları - Frigate",
+    "masksAndZones": "Maske ve Alan Düzenleyici - Frigate",
+    "authentication": "Kimlik Doğrulama Ayarları - Frigate",
+    "motionTuner": "Hareket Algılama Ayarları - Frigate",
+    "frigatePlus": "Frigate+ Ayarları - Frigate",
+    "object": "Hata Ayıklama - Frigate",
+    "general": "Genel Ayarlar - Frigate",
+    "notifications": "Bildirim Ayarları - Frigate",
+    "enrichments": "Zenginleştirme Ayarları - Frigate"
+  },
+  "menu": {
+    "masksAndZones": "Maskeler / Alanlar",
+    "users": "Kullanıcılar",
+    "frigateplus": "Frigate+",
+    "ui": "Arayüz",
+    "notifications": "Bildirimler",
+    "motionTuner": "Hareket Algılama",
+    "classification": "Sınıflandırma",
+    "debug": "Hata Ayıklama",
+    "cameras": "Kamera Ayarları",
+    "enrichments": "Zenginleştirmeler"
+  },
+  "general": {
+    "title": "Genel Ayarlar",
+    "liveDashboard": {
+      "automaticLiveView": {
+        "label": "Otomatik Canlı Görünüm",
+        "desc": "Aktivite tespit edildiğinde otomatik olarak kameranın canlı akışına geç. Bu seçeneği devre dışı bırakmak canlı görüntü panelinde dakikada bir güncellenen sabit resim gösterilmesine sebep olur."
+      },
+      "playAlertVideos": {
+        "label": "Alarm Videolarını Oynat",
+        "desc": "Varsayılan olarak canlı görüntü panelinde gösterilen son alarmlar ufak videolar olarak oynatılır. Bu tarayıcı/cihazda video yerine sabit resim göstermek için bu seçeneği kapatın."
+      },
+      "title": "Canlı Görüntü Paneli"
+    },
+    "storedLayouts": {
+      "desc": "Kamera grubundaki kameraların düzenini kameraları sürükleyerek ve büyüterek/küçülterek değiştirebilirsiniz. Düzen bilgisi tarayıcınızda depolanır.",
+      "clearAll": "Tüm Düzenleri Temizle",
+      "title": "Kayıtlı Düzenler"
+    },
+    "cameraGroupStreaming": {
+      "title": "Kamera Grubu Yayın Ayarları",
+      "desc": "Kamera gruplarının ilgili yayın ayarları tarayıcınızda depolanır.",
+      "clearAll": "Tüm Yayın Ayarlarını Temizle"
+    },
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "label": "Varsayılan Oynatma Hızı",
+        "desc": "Kayıt oynatılırken kullanılan varsayılan oynatma hızı."
+      },
+      "title": "Kayıt Görüntüleyicisi"
+    },
+    "calendar": {
+      "firstWeekday": {
+        "sunday": "Pazar",
+        "desc": "Arayüzdeki takvimde gösterilecek haftanın ilk günü.",
+        "label": "Haftanın ilk günü",
+        "monday": "Pazartesi"
+      },
+      "title": "Takvim"
+    },
+    "toast": {
+      "success": {
+        "clearStreamingSettings": "Tüm kamera grupları için yayın ayarları temizlendi.",
+        "clearStoredLayout": "{{cameraName}} için kayıtlı düzenler temizlendi"
+      },
+      "error": {
+        "clearStreamingSettingsFailed": "Yayın ayarları temizlenemedi: {{errorMessage}}",
+        "clearStoredLayoutFailed": "Kayıtlı düzen temizlenemedi: {{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "title": "Sınıflandırma Ayarları",
+    "semanticSearch": {
+      "title": "Anlamsal Arama",
+      "readTheDocumentation": "Dökümantasyonu Oku",
+      "reindexNow": {
+        "confirmButton": "Yeniden Dizinle",
+        "label": "Şimdi Yeniden Dizinle",
+        "desc": "Yeniden dizinleme bütün takip edilen nesneler için gömüleri tekrar oluşturur. Bu işlem arka planda çalışacak olsa da nesne sayısına göre işlemcinizi tamamen kullanabilir ve tamamlanması biraz zaman alabilir.",
+        "alreadyInProgress": "Yeniden dizinleme zaten devam ediyor.",
+        "confirmTitle": "Yenden Dizinlemeyi onayla",
+        "success": "Yeniden dizinleme başladı.",
+        "confirmDesc": "Takip edilen bütün objelerin gömülerini yeniden dizinlemek istediğinze emin misiniz? Bu işlem arka planda çalışacak fakat işlemcinizi tamamen kullanabilir ve tamamlanması biraz zaman alabilir. İlerlemeyi Keşfet sayfasından takip edebilirsiniz.",
+        "error": "Yeniden dizinlemeye başlanamadı: {{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "Model boyutu",
+        "large": {
+          "title": "büyük",
+          "desc": "<em>Büyük</em> modeli kullandığınızda tam boyutlu Jina modeli kullanılacaktır ve uygunsa otomatik olarak grafik işlemcisinde çalıştırılacaktır."
+        },
+        "small": {
+          "desc": "<em>Küçük</em> modeli kullandığınızda modelin kuantize edilmiş bir sürümü kullanılır. Bu model daha az RAM kullanır, işlemcilerde daha hızlı çalışır ve gömü kalitesinde neredeyse hiç kalite farkı yoktur.",
+          "title": "küçük"
+        },
+        "desc": "Anlamsal arama için kullanılan dil modelinin büyüklüğü."
+      },
+      "desc": "Frigate'daki Anlamsal Arama özelliği inceleme öğelerinizde takip edilen nesneleri bizzat nesnenin resmi ile aratarak ya da otomatik olarak veya kullanıcı tarafından yazılmış bir metin açıklaması içinde aratarak bulmanıza imkan sağlar."
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "large": {
+          "desc": "<em>Büyük</em> modeli kullandığınızda tam boyutlu ArcFace yüz gömü modeli kullanılacaktır ve uygunsa otomatik olarak grafik işlemcisinde çalıştırılacaktır.",
+          "title": "büyük"
+        },
+        "small": {
+          "title": "küçük",
+          "desc": "<em>Küçük</em> modeli kullandığınızda çoğu işlemcide verimli bir şekilde çalışan bir FaceNet yüz gömme modeli kullanılır."
+        },
+        "label": "Model Boyutu",
+        "desc": "Yüz tanıma için kullanılan modelin boyutu."
+      },
+      "title": "Yüz Tanıma",
+      "desc": "Yüz tanıma, tanınan insanlara isim vermenize olanak tanır ve bu yüzler tanındığında Frigate, kişinin adını alt etiket olarak ekler. Bu bilgi; kullanıcı arayüzü, filtreler ve bildirimlerde gösterilir.",
+      "readTheDocumentation": "Dökümantasyonu Oku"
+    },
+    "toast": {
+      "error": "Yapılandırma değişiklikleri kaydedilemedi: {{errorMessage}}",
+      "success": "Sınıflandırma ayarları kaydedildi. Değişikliklerinizi uygulamak için Frigate'i yeniden başlatın."
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate araç plakalarını tanıyabilir ve algılanan karakterleri otomatik olarak recognized_license_plate alanına veya belirli bir plaka için tanımladığınız bir takma ismi alt etiket olarak ilgili aracın tanımlanan nesnesine ekleyebilir. Bu sistem, garajınıza giren veya caddeden geçen araçların plakalarını okumak için kullanılabilir.",
+      "title": "Plaka Tanıma",
+      "readTheDocumentation": "Dökümantasyonu Oku"
+    },
+    "birdClassification": {
+      "title": "Kuş Sınıflandırma",
+      "desc": "Kuş Sınıflandırma özelliği, bilinen kuş türlerini kuantize edilmiş bir Tensorflow modeli kullanarak teşhis etmenizi sağlar. Model bir kuş türünü teşhis ettiğinde, Frigate, bu türün adını alt etiket olarak ekler. Bu bilgi; kullanıcı arayüzü, filtreler ve bildirimlerde gösterilir."
+    },
+    "restart_required": "Yeniden Başlatma Gerekli (Sınıflandırma ayarları değiştirildi)"
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Kamera Yok"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Kaydedilmemiş değişiklikleriniz var.",
+      "desc": "Devam etmeden önce değişiklikleri kaydetmek ister misiniz?"
+    }
+  },
+  "camera": {
+    "title": "Kamera Ayarları",
+    "review": {
+      "title": "İncele",
+      "alerts": "Alarmlar ",
+      "detections": "Tespitler ",
+      "desc": "Bu kamera için uyarıları ve algılamaları geçici olarak etkinleştirin/devre dışı bırakın. Frigate yeniden başlatıldığında yapılandırmanızdaki tercihlere geri dönülür. Devre dışı bırakıldığında, yeni inceleme öğeleri oluşturulamaz. "
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "Dökümantasyonu Oku",
+      "selectAlertsZones": "Alarmlar için alanları seçin",
+      "zoneObjectDetectionsTips": {
+        "regardlessOfZoneObjectDetectionsTips": "{{cameraName}} kamerasındaki kategorize edilmemiş bütün {{detectionsLabels}} nesneleri hangi alanda olduklarına bakılmaksızın Algılama olarak sınıflandırılacaktır.",
+        "notSelectDetections": "{{cameraName}} kamerasındaki {{zone}} alanı içinde algılanan ve Alarm olarak kategorize edilmeyen bütün {{detectionsLabels}} nesneleri hangi alanda olduklarına bakılmaksızın Algılama olarak sınıflandırılacaktır.",
+        "text": "{{cameraName}} kamerasındaki {{zone}} alanındaki kategorize edilmemiş bütün {{detectionsLabels}} nesneleri Algılama olarak sınıflandırılacaktır."
+      },
+      "zoneObjectAlertsTips": "{{cameraName}} kamerasındaki {{zone}} alanında algılanan bütün {{alertsLabels}} nesneleri Alarm olarak sınıflandırılacaktır.",
+      "desc": "Frigate tespit edilen İnceleme öğelerini Alarmlar ve Tespitler olarak kategorize eder. Varsayılan olarak bütün <em>kişi</em> ve <em>araba</em> nesneleri Alarm olarak sınıflandırılır. İnceleme öğelerinizin sınıflandırmasını tespit sınırlandırma sayfasında gerekli alanlar seçerek sınırlandırabilirsiniz.",
+      "objectDetectionsTips": "{{cameraName}} kamerasında kategorize edilmemiş bütün {{detectionsLabels}} nesneleri, hangi alanda olduklarına bakılmaksızın Algılama olarak sınıflandırılacaktır.",
+      "selectDetectionsZones": "Algılamalar için alanları seçin",
+      "title": "Tespit Sınıflandırmaları",
+      "noDefinedZones": "Bu kamera için tanımlanmış alan yok.",
+      "objectAlertsTips": "{{cameraName}} kamerasındaki bütün {{alertsLabels}} nesneleri Alarm olarak sınıflandırılacaktır.",
+      "limitDetections": "Algılamaları belirli alanlara sınırla",
+      "toast": {
+        "success": "İnceleme Sınıflandırma ayarları kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+      },
+      "unsavedChanges": "{{camera}} için Kaydedilmemiş Sınıflandırma Ayarları"
+    },
+    "streams": {
+      "desc": "Frigate yeniden başlataılana kadar bir kamerayı devre dışı bırakın. Bir kameranın devre dışı bırakılması, Frigate'in bu kamerayı işlemesini tamamen durdurur. Algılama, kayıt ve hata ayıklama özellikleri kullanılamaz.<br /> <em>Not: Bu eylem, go2rtc'deki yeniden akışları devre dışı bırakmaz.</em>",
+      "title": "Akışlar"
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Bütün Maskeler ve Alanlar"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "{{polyName}} için koordinatlar panoya kopyalandı."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Koordinatlar panoya kopyalanamadı."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Alan adı en az 2 karakter olmalıdır.",
+          "hasIllegalCharacter": "Alan adı geçersiz karakterler içeriyor.",
+          "mustNotBeSameWithCamera": "Alan adı kamera adıyla aynı olmamalıdır.",
+          "alreadyExists": "Bu kamera için bu ada sahip bir alan zaten mevcut.",
+          "mustNotContainPeriod": "Alan adı nokta içermemelidir."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Mesafe 0.1'den büyük veya eşit olmalıdır.",
+          "mustBeFilled": "Hız tahmini özelliğini kullanabilmek için bütün mesafe alanları doldurulmalıdır."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Oyalanma süresi 0'dan büyük veya eşit olmalıdır."
+        }
+      },
+      "polygonDrawing": {
+        "snapPoints": {
+          "false": "Noktaları hizalama",
+          "true": "Noktaları hizala"
+        },
+        "removeLastPoint": "Son noktayı kaldır",
+        "reset": {
+          "label": "Bütün noktaları temizle"
+        },
+        "delete": {
+          "desc": "{{type}} <em>{{name}}</em>'i silmek istediğinizden emin misiniz?",
+          "title": "Silmeyi Onayla",
+          "success": "{{name}} silindi."
+        },
+        "error": {
+          "mustBeFinished": "Kaydetmeden önce çokgen çizimi bitirilmelidir."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Eylemsizlik sıfırın üzerinde olmalıdır."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Hız eşiği 0.1'e eşit veya daha yüksek olmalıdır."
+        }
+      }
+    },
+    "zones": {
+      "label": "Alanlar",
+      "documentTitle": "Alanı Düzenle - Frigate",
+      "desc": {
+        "documentation": "Dökümantasyon",
+        "title": "Alanlar, görüntüde belirli bir alanını tanımlamanıza olanak tanır. Böylece bir nesnenin belirli bir alanda olup olmadığını tespit edebilirsiniz."
+      },
+      "add": "Alan Ekle",
+      "point_one": "{{count}} nokta",
+      "point_other": "{{count}} nokta",
+      "name": {
+        "inputPlaceHolder": "Bir isim girin…",
+        "title": "İsim",
+        "tips": "Ad en az 2 karakter olmalı ve bir kamera veya başka bir bölgenin adı olmamalıdır."
+      },
+      "inertia": {
+        "title": "Eylemsizlik",
+        "desc": "Bir nesnenin alanda kabul edilmesi için kaç kare boyunca alanda kalması gerektiğini belirtir. <em>Varsayılan: 3</em>"
+      },
+      "objects": {
+        "title": "Nesneler",
+        "desc": "Bu alana uygulanan nesnelerin listesi."
+      },
+      "speedEstimation": {
+        "title": "Hız Tahmini",
+        "desc": "Bu alandaki nesneler için hız tahminini etkinleştirin. Alan tam olarak 4 noktaya belirlenmiş olmalıdır.",
+        "docs": "Dökümantasyonu oku",
+        "lineADistance": "Çizgi A mesafesi ({{unit}})",
+        "lineBDistance": "Çizgi B mesafesi ({{unit}})",
+        "lineCDistance": "Çizgi C mesafesi ({{unit}})",
+        "lineDDistance": "Çizgi D mesafesi ({{unit}})"
+      },
+      "clickDrawPolygon": "Görüntü üzerinde bir çokgen çizmek için tıklayın.",
+      "edit": "Alanı Düzenle",
+      "loiteringTime": {
+        "title": "Oyalanma Süresi",
+        "desc": "Nesnenin etkinleşmesi için alanda kalması gereken minimum süreyi saniye cinsinden ayarlar. <em>Varsayılan: 0</em>"
+      },
+      "speedThreshold": {
+        "desc": "Nesnelerin bu alanda kabul edilmesi için minimum hızı belirtir.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Bu alan için hız tahmini devre dışı bırakıldı. Hız tahmini olan alanlar tam olarak 4 noktaya sahip olmak zorundadır.",
+            "loiteringTimeError": "Oyalanma süreleri 0'dan büyük olan alanlar hız tahmini ile birlikte kullanılmamalıdır."
+          }
+        },
+        "title": "Hız Alt Sınırı ({{unit}})"
+      },
+      "toast": {
+        "success": "Alan ({{zoneName}}) kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+      },
+      "allObjects": "Bütün Nesneler"
+    },
+    "motionMasks": {
+      "add": "Yeni Hareket Maskesi",
+      "context": {
+        "documentation": "Dökümantasyonu okuyun",
+        "title": "Hareket maskeleri, istenmeyen hareketli nesnelerin (örneğin: ağaç dalları, kamera yayınına gömülü tarih saat, vb.) algılamayı tetiklemesini önlemek için kullanılır. Hareket maskeleri <em>çok dikkatli</em> kullanılmalıdır, zira gereğinden fazla maskeleme nesnelerin tespitini zorlaştıracaktır."
+      },
+      "point_one": "{{count}} nokta",
+      "point_other": "{{count}} nokta",
+      "clickDrawPolygon": "Görüntü üzerinde bir çokgen çizmek için tıklayın.",
+      "polygonAreaTooLarge": {
+        "title": "Bu hareket maskesi, kamera görüntüsünün %{{polygonArea}}'sını kaplıyor. Büyük hareket maskeleri kullanmanız önerilmez.",
+        "documentation": "Dökümantasyonu oku",
+        "tips": "Hareket maskeleri nesnelerin algılanmasını kesin olarak engellemez. Bunun yerine tespit sınıflandırma sayfasında gerekli alan kısıtlaması ayarlamalısınız."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
+          "noName": "Hareket Maskesi kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+        }
+      },
+      "desc": {
+        "title": "Hareket maskeleri, istenmeyen hareketlerin algılamayı tetiklemesini önlemek için kullanılır. Gereğinden fazla maskeleme nesnelerin tespitini zorlaştıracaktır.",
+        "documentation": "Dökümantasyon"
+      },
+      "label": "Hareket Maskesi",
+      "edit": "Hareket Maskesini Düzenle",
+      "documentTitle": "Hareket Maskesini Düzenle - Frigate"
+    },
+    "objectMasks": {
+      "desc": {
+        "documentation": "Dökümantasyon",
+        "title": "Nesne filtresi maskeleri, belirli bir nesne türü için konum bazında yanlış pozitifleri filtrelemek için kullanılır."
+      },
+      "point_one": "{{count}} nokta",
+      "point_other": "{{count}} nokta",
+      "context": "Nesne filtresi maskeleri, belirli bir nesne türü için konum bazında yanlış pozitifleri filtrelemek için kullanılır.",
+      "objects": {
+        "allObjectTypes": "Bütün nesne türleri",
+        "desc": "Bu nesne maskesinin uygulanacağı nesne türü.",
+        "title": "Nesneler"
+      },
+      "add": "Nesne Maskesi Ekle",
+      "edit": "Nesne Maskesini Düzenle",
+      "toast": {
+        "success": {
+          "noName": "Nesne Maskesi kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
+          "title": "{{polygonName}} kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+        }
+      },
+      "documentTitle": "Nesne Maskesini Düzenle - Frigate",
+      "label": "Nesne Maskeleri",
+      "clickDrawPolygon": "Görüntü üzerinde bir çokgen çizmek için tıklayın."
+    },
+    "restart_required": "Yeniden Başlatma Gerekli (maskeler/alanlar değiştirildi)",
+    "motionMaskLabel": "Hareket Maskesi {{number}}",
+    "objectMaskLabel": "Nesne maskesi {{number}} ({{label}})"
+  },
+  "motionDetectionTuner": {
+    "title": "Hareket Algılama Ayarlayıcı",
+    "Threshold": {
+      "desc": "Eşik değeri, bir pikselin parlaklığındaki ne kadar değişikliğin hareket olarak kabul edileceğini belirler. <em>Varsayılan: 30</em>",
+      "title": "Eşik"
+    },
+    "contourArea": {
+      "desc": "Kontur alanı değeri, hangi değişen piksel gruplarının hareket olarak nitelendirileceğine karar vermek için kullanılır. <em>Varsayılan: 10</em>",
+      "title": "Kontur Alanı"
+    },
+    "toast": {
+      "success": "Hareket ayarları kaydedildi."
+    },
+    "desc": {
+      "title": "Frigate, kamera görüntüsünde nesne tespiti ile kontrol etmeye değer bir şey olup olmadığını görmek için ilk olarak hareket algılamayı kullanır.",
+      "documentation": "Hareket Algılama İnce Ayar Kılavuzunu Okuyun"
+    },
+    "improveContrast": {
+      "desc": "Daha karanlık sahneler için kontrastı iyileştirin. <em>Varsayılan: AÇIK</em>",
+      "title": "Kontrastı İyileştir"
+    },
+    "unsavedChanges": "Kaydedilmemiş Hareket Alıglama ayarları ({{camera}})"
+  },
+  "debug": {
+    "title": "Hata Ayıklama",
+    "boundingBoxes": {
+      "colors": {
+        "label": "Nesne Çerçeve Renkleri",
+        "info": "<li>Başlangıçta, her nesne etiketi için farklı renkler atanacaktır</li><li>Koyu mavi ince bir çizgi, nesnenin şu anda algılanamadığını gösterir</li><li>Gri ince bir çizgi, nesnenin sabit olduğunun algılandığını gösterir</li><li>Kalın bir çizgi, nesnenin otomatik izlemeye (eğer açıksa) tabi olduğunu gösterir</li>"
+      },
+      "title": "Çerçeveler",
+      "desc": "İzlenen nesnelerin etrafında çerçeve göster"
+    },
+    "timestamp": {
+      "title": "Zaman Damgası",
+      "desc": "Görüntüye bir zaman damgası ekle"
+    },
+    "motion": {
+      "title": "Hareket kutuları",
+      "desc": "Hareketin algılandığı alanların etrafında çerçeve göster",
+      "tips": "<p><strong>Hareket Kutuları</strong></p><br><p>Hareketin algılandığı alanlar kırmızı çerçeve ile gösterilecektir.</p>"
+    },
+    "regions": {
+      "title": "Tespit Bölgeleri",
+      "desc": "Nesne algılayıcıya gönderilen tespit alanlarını göster",
+      "tips": "<p><strong>Bölge Kutuları</strong></p><br><p>Görüntüdeki nesne dedektörüne gönderilen tespit alanları parlak yeşil renk çerçeve ile gösterilir.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Nesne Şekil Filtresi Çizimi",
+      "desc": "Alan ve oran ayrıntılarını görüntülemek için görüntü üzerinde bir dikdörtgen çizin",
+      "score": "Puan",
+      "ratio": "Oran",
+      "area": "Alan",
+      "document": "Dökümantasyonu oku ",
+      "tips": "Alanını ve oranını göstermek için kamera görüntüsü üzerinde bir dikdörtgen çizmek için bu seçeneği etkinleştirin. Bu değerler daha sonra yapılandırmanızda nesne şekil filtresi parametrelerini ayarlamak için kullanılabilir."
+    },
+    "debugging": "Hata Ayıklama",
+    "detectorDesc": "Frigate, kamera video akışınızdaki nesneleri algılamak için algılayıcılar ({{detectors}}) kullanır.",
+    "noObjects": "Nesne Yok",
+    "mask": {
+      "title": "Hareket maskeleri",
+      "desc": "Tanımlanmış hareket maskelerinin sınırlarını göster"
+    },
+    "zones": {
+      "title": "Alanlar",
+      "desc": "Tanımlanmış alanların sınırlarını göster"
+    },
+    "objectList": "Nesne Listesi",
+    "desc": "Hata ayıklama görünümü, izlenen nesnelerin ve istatistiklerinin gerçek zamanlı bir görünümünü gösterir. Nesne listesi algılanan nesnelerin zaman gecikmeli bir özetini gösterir."
+  },
+  "users": {
+    "title": "Kullanıcılar",
+    "management": {
+      "title": "Kullanıcı Yönetimi",
+      "desc": "Bu Frigate kurulumundaki kullanıcı hesaplarını yönetin."
+    },
+    "addUser": "Kullanıcı Ekle",
+    "toast": {
+      "success": {
+        "deleteUser": "{{user}} kullanıcısı başarıyla silindi",
+        "roleUpdated": "{{user}} için rol güncellendi",
+        "createUser": "{{user}} kullanıcısı başarıyla oluşturuldu",
+        "updatePassword": "Parola başarıyla güncellendi."
+      },
+      "error": {
+        "setPasswordFailed": "Parola kaydedilemedi: {{errorMessage}}",
+        "createUserFailed": "Kullanıcı oluşturulamadı: {{errorMessage}}",
+        "deleteUserFailed": "Kullanıcı silinemedi: {{errorMessage}}",
+        "roleUpdateFailed": "Rol güncellenemedi: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Kullanıcı Adı",
+      "actions": "Eylemler",
+      "noUsers": "Kullanıcı bulunamadı.",
+      "changeRole": "Kullanıcı rolünü değiştir",
+      "deleteUser": "Kullanıcıyı sil",
+      "role": "Rol",
+      "password": "Parola"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "placeholder": "Kullanıcı adı girin",
+          "title": "Kullanıcı Adı",
+          "desc": "Yalnızca harfler, sayılar, noktalar ve alt çizgiler kullanabilirsiniz."
+        },
+        "password": {
+          "title": "Parola",
+          "placeholder": "Parola girin",
+          "confirm": {
+            "title": "Parolayı Onayla",
+            "placeholder": "Parolayı Onayla"
+          },
+          "strength": {
+            "title": "Parola kuvveti: ",
+            "weak": "Zayıf",
+            "medium": "Orta",
+            "strong": "Güçlü",
+            "veryStrong": "Çok Güçlü"
+          },
+          "notMatch": "Parolalar eşleşmiyor",
+          "match": "Parolalar eşleşiyor"
+        },
+        "newPassword": {
+          "placeholder": "Yeni parola girin",
+          "confirm": {
+            "placeholder": "Yeni parolayı tekrar girin"
+          },
+          "title": "Yeni Parola"
+        },
+        "usernameIsRequired": "Kullanıcı adı gereklidir",
+        "passwordIsRequired": "Parola gereklidir"
+      },
+      "createUser": {
+        "title": "Yeni Kullanıcı Oluştur",
+        "desc": "Yeni bir kullanıcı hesabı ekleyin ve Frigate'deki erişim düzeylerini sınırlandırmak için bir rol belirtin.",
+        "usernameOnlyInclude": "Kullanıcı adı yalnızca harfler, sayılar, nokta veya alt çizgi (_) içerebilir",
+        "confirmPassword": "Lütfen parolanızı onaylayın"
+      },
+      "deleteUser": {
+        "title": "Kullanıcıyı Sil",
+        "warn": "<strong>{{username}}</strong>'i silmek istediğinizden emin misiniz?",
+        "desc": "Bu işlem geri alınamaz. Bu, kullanıcı hesabını kalıcı olarak silecek ve tüm ilişkili verileri kaldıracaktır."
+      },
+      "passwordSetting": {
+        "updatePassword": "{{username}} için Parola Belirle",
+        "setPassword": "Parola Belirle",
+        "desc": "Bu hesabı güvenli hale getirmek güçlü bir parola belirleyin.",
+        "cannotBeEmpty": "Parola boş olamaz",
+        "doNotMatch": "Parolalar eşleşmiyor"
+      },
+      "changeRole": {
+        "title": "Kullanıcı Rolünü Değiştir",
+        "desc": "<strong>{{username}}</strong> için izinleri güncelle",
+        "roleInfo": {
+          "adminDesc": "Tüm özelliklere tam erişim.",
+          "intro": "Bu kullanıcı için bir rol seçin:",
+          "admin": "Yönetici",
+          "viewer": "Görüntüleyici",
+          "viewerDesc": "Yalnızca Canlı, İncele, Keşfet ve Dışa Aktar'a girebilir."
+        },
+        "select": "Bir rol seçin"
+      }
+    },
+    "updatePassword": "Parola Belirle"
+  },
+  "notification": {
+    "title": "Bildirimler",
+    "notificationSettings": {
+      "title": "Bildirim Ayarları",
+      "documentation": "Dökümantasyonu Oku",
+      "desc": "Frigate, tarayıcıdan veya web uygulaması (PWA) olarak kullanıyor olmanız fark etmeksizin, tarayıcınızın bildirimler özelliği aracılığıyla bildirimler gönderebilir."
+    },
+    "notificationUnavailable": {
+      "title": "Bildirimler Kullanılamıyor",
+      "documentation": "Dökümantasyonu Oku",
+      "desc": "Web push bildirimleri güvenli bağlantı (<code>https://…</code>) gerektirir. Bu tarayıcınızın bir sınırlandırmasıdır. Bildirimleri kullanmak için Frigate arayüzüne HTTPS ile erişin."
+    },
+    "globalSettings": {
+      "title": "Genel Ayarlar",
+      "desc": "Kayıtlı tüm cihazlarda belirli kameralar için bildirimleri geçici olarak askıya alın."
+    },
+    "email": {
+      "title": "E-posta",
+      "desc": "Geçerli bir e-posta adresi gereklidir ve push hizmetiyle ilgili herhangi bir sorun olması durumunda sizi bilgilendirmek için kullanılacaktır.",
+      "placeholder": "örn. ornek@eposta.com"
+    },
+    "cameras": {
+      "desc": "Bildirimlerin etkinleştirileceği kameraları seçin.",
+      "title": "Kameralar",
+      "noCameras": "Kullanılabilir kamera yok"
+    },
+    "deviceSpecific": "Cihaza Özel Ayarlar",
+    "suspended": "Bildirimler askıya alındı {{time}}",
+    "suspendTime": {
+      "1hour": "1 saat süreyle askıya al",
+      "12hours": "12 saat süreyle askıya al",
+      "24hours": "24 saat süreyle askıya al",
+      "30minutes": "30 dakika süreyle askıya al",
+      "untilRestart": "Yeniden başlatılana kadar askıya al",
+      "10minutes": "10 dakika süreyle askıya al",
+      "5minutes": "5 dakika süreyle askıya al",
+      "suspend": "Askıya Al"
+    },
+    "toast": {
+      "success": {
+        "registered": "Bildirimlere başarıyla kaydolundu. Herhangi bir bildirimin (test bildirimi dahil) gönderilebilmesi için Frigate'in yeniden başlatılması gereklidir.",
+        "settingSaved": "Bildirim ayarları kaydedildi."
+      },
+      "error": {
+        "registerFailed": "Bildirimlere kaydolunurken hata oluştu."
+      }
+    },
+    "registerDevice": "Bu Cihazı Kaydet",
+    "sendTestNotification": "Bir test bildirimi gönder",
+    "cancelSuspension": "Askıya Almayı İptal Et",
+    "unregisterDevice": "Bu Cihazın Kaydını Sil",
+    "active": "Bildirimler Aktif",
+    "unsavedChanges": "Kaydedilmemiş bildirim ayar değişiklikleri",
+    "unsavedRegistrations": "Kaydedilmemiş bildirim ayar değişiklikleri"
+  },
+  "frigatePlus": {
+    "title": "Frigate+ Ayarları",
+    "apiKey": {
+      "title": "Frigate+ API Anahtarı",
+      "validated": "Frigate+ API anahtarınız doğrulandı",
+      "plusLink": "Frigate+ hakkında daha fazla bilgi edinin",
+      "notValidated": "Frigate+ API anahtarı bulunamadı veya doğrulanamadı",
+      "desc": "Frigate+ API anahtarı, Frigate+ hizmetiyle entegrasyonu sağlar."
+    },
+    "snapshotConfig": {
+      "title": "Fotoğraf Yapılandırması",
+      "documentation": "Dökümantasyonu oku",
+      "table": {
+        "camera": "Kamera",
+        "snapshots": "Fotoğraflar",
+        "cleanCopySnapshots": "<code>clean_copy</code> Fotoğraflar"
+      },
+      "desc": "Frigate+'a göndermek için yapılandırmanızda hem fotoğrafların hem de <code>clean_copy</code> fotoğraflarının etkinleştirilmesi gerekir.",
+      "cleanCopyWarning": "Bazı kameralarda fotoğraflar etkin ancak temiz kopya özelliği devre dışı. Bu kameralardan Frigate+'a görüntü gönderebilmek için fotoğraf(snapshots) yapılandırmanızda <code>clean_copy</code>'yi etkinleştirmeniz gerekiyor."
+    },
+    "modelInfo": {
+      "error": "Model bilgileri yüklenemedi",
+      "loadingAvailableModels": "Kullanılabilir modeller yükleniyor…",
+      "loading": "Model bilgileri yükleniyor…",
+      "modelType": "Model Türü",
+      "dimensions": "Boyutlar",
+      "availableModels": "Kullanılabilir Modeller",
+      "modelSelect": "Frigate+'daki kullanılabilir modelleriniz buradan seçilebilir. Yalnızca mevcut algılayıcı yapılandırmanızla uyumlu modellerin seçilebileceğini unutmayın.",
+      "baseModel": "Temel Model",
+      "title": "Model Bilgileri",
+      "trainDate": "Eğitim Tarihi",
+      "supportedDetectors": "Desteklenen Algılayıcılar",
+      "cameras": "Kameralar",
+      "plusModelType": {
+        "userModel": "İnce Ayarlı",
+        "baseModel": "Baz Model"
+      }
+    },
+    "toast": {
+      "success": "Frigate+ ayarları kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
+      "error": "Yapılandırma değişiklikleri kaydedilemedi: {{errorMessage}}"
+    },
+    "restart_required": "Yeniden Başlatma Gerekli (Frigate+ modeli değiştirildi)",
+    "unsavedChanges": "Kaydedilmemiş Frigate+ ayar değişiklikleri"
+  },
+  "enrichments": {
+    "birdClassification": {
+      "title": "Kuş Sınıflandırma",
+      "desc": "Kuş sınıflandırma, kuantize edilmiş bir Tensorflow modeli aracılığıyla bilinen kuş türlerini tespit eder. Bilinen bir kuş türü tespit edildiğinde, bu türün bilinen adı bir alt etiket olarak ilgili öğeye iliştirilir. Bu bilgi; arayüzde ve bildirimlerde gösterilir ve filtre olarak kullanılabilir."
+    },
+    "unsavedChanges": "Değişitirilen zenginleştirme ayarları kaydedilmedi",
+    "semanticSearch": {
+      "reindexNow": {
+        "desc": "Yeniden dizinleme işlemi, bütün takip edilen nesneler için gömüleri tekrar üretecektir. Bu işlem arka planda gerçekleşir, fakat nesne sayısına bağlı olarak çok işlemci kullanabilir veya tamamlanması makul bir süre alabilir.",
+        "label": "Şimdi Yeniden Dizinle",
+        "confirmTitle": "Yeniden Dizinlemeyi Onayla",
+        "confirmDesc": "Bütün takip edilen nesnelerin gömülerini yeniden dizinlemek istediğinize emin misiniz? Bu işlem arka planda gerçekleşecektir fakat nesne sayısına bağlı olarak çok işlemci kullanabilir ve biraz süre alabilir. İlerlemesini Keşfet sayfasından görüntüleyebilirsiniz.",
+        "confirmButton": "Yeniden Dizinle",
+        "success": "Yeniden dizinleme başarıyla başlatıldı.",
+        "alreadyInProgress": "Yeniden dizinleme zaten sürüyor.",
+        "error": "Yeniden dizinleme başlatılamadı: {{errorMessage}}"
+      },
+      "title": "Anlamsal Arama",
+      "desc": "Anlamsal arama, takip edilen nesneleri; ya görselin kendisini kullanarak ya da görsel öğelere ait açıklamalar üzerinden (kullanıcı tarafından yazılmış ya da otomatik oluşturulmuş) metinle arama yaparak bulmanıza olanak tanır.",
+      "readTheDocumentation": "Dökümantasyonu Oku",
+      "modelSize": {
+        "label": "Model Boyutu",
+        "desc": "Anlamsal aramadaki gömüler için kullanılan modelin büyüklüğü.",
+        "small": {
+          "title": "küçük",
+          "desc": "Modelin <em>küçük</em> sürümü, gömme kalitesinde fark edilmesi zor bir değişikliğe karşılık daha az RAM kullanan ve CPU’da daha hızlı çalışan kuantize bir model kullanır."
+        },
+        "large": {
+          "title": "büyük",
+          "desc": "Modelin <em>büyük</em> sürümü tam boyutlu Jina modelini kullanır ve uygunsa GPU'da çalışacaktır."
+        }
+      }
+    },
+    "title": "Zenginleştirme Ayarları",
+    "faceRecognition": {
+      "title": "Yüz Tanıma",
+      "desc": "Yüz tanıma, tespit edilen insanların yüzleri tanındığında onlara isim atamanıza olanak sağlar ve bu isim bilgisi alt etiket olarak iliştirilir. Bu bilgi; arayüzde ve bildirimlerde gösterilir ve filtre olarak kullanılabilir.",
+      "readTheDocumentation": "Dökümantasyonu Oku",
+      "modelSize": {
+        "label": "Model Boyutu",
+        "desc": "Yüz tanıma için kullanılan modelin büyüklüğü.",
+        "small": {
+          "title": "küçük",
+          "desc": "Modelin <em>küçük</em> sürümü olarak çoğu işlemcide verimli çalışabilen bir FaceNet yüz gömü modeli kullanılır."
+        },
+        "large": {
+          "title": "büyük",
+          "desc": "Modelin <em>büyük</em> sürümü olarak ArcFace yüz gömü modeli kullanılır ve uygunsa GPU'da çalışır."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Plaka Tanıma",
+      "desc": "Frigate tespit edilen araçların tescil plakalarındaki karakterleri okuyabilir ve ilgili araba türündeki nesnenin recognized_license_plate bölümüne, varsa bilindik bir adını da sub_label bölümüne ekleyebilir. Bu özelliği bir yoldan geçen yahut evin önüne park eden araçların plakalarını okumak için kullanabilirsiniz.",
+      "readTheDocumentation": "Dökümantasyonu Oku"
+    },
+    "restart_required": "Yeniden başlatma gerekli (zenginleştirme ayarları değişti)",
+    "toast": {
+      "success": "Zenginleştirme ayarları kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
+      "error": "Yapılandırma değişiklikleri kaydedilemedi: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/tr/views/system.json b/web/public/locales/tr/views/system.json
new file mode 100644
index 000000000..9124e3e08
--- /dev/null
+++ b/web/public/locales/tr/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "logs": {
+      "frigate": "Frigate Günlükleri - Frigate",
+      "go2rtc": "Go2RTC Günlükleri - Frigate",
+      "nginx": "Nginx Günlükleri - Frigate"
+    },
+    "general": "Genel İstatistikler - Frigate",
+    "storage": "Depolama İstatistikleri - Frigate",
+    "cameras": "Kamera İstatistikleri - Frigate",
+    "enrichments": "Zenginleştirme İstatistikleri - Frigate"
+  },
+  "metrics": "Sistem metrikleri",
+  "general": {
+    "hardwareInfo": {
+      "gpuDecoder": "GPU Kod Çözücü",
+      "gpuInfo": {
+        "nvidiaSMIOutput": {
+          "name": "İsim: {{name}}",
+          "driver": "Sürücü: {{driver}}",
+          "cudaComputerCapability": "CUDA Hesaplama Yeteneği: {{cuda_compute}}",
+          "vbios": "VBios Bilgisi: {{vbios}}",
+          "title": "Nvidia SMI Çıktısı"
+        },
+        "toast": {
+          "success": "GPU bilgisi panoya kopyalandı"
+        },
+        "vainfoOutput": {
+          "processError": "İşlem Hatası:",
+          "returnCode": "Dönüt Kodu: {{code}}",
+          "processOutput": "İşlem Çıktısı:",
+          "title": "Vainfo çıktısı"
+        },
+        "closeInfo": {
+          "label": "GPU bilgisini kapat"
+        },
+        "copyInfo": {
+          "label": "GPU bilgisini kopyala"
+        }
+      },
+      "gpuUsage": "GPU Kullanımı",
+      "gpuMemory": "GPU Belleği",
+      "gpuEncoder": "GPU Kodlayıcı",
+      "title": "Donanım Bilgisi",
+      "npuUsage": "NPU Kullanımı",
+      "npuMemory": "NPU Bellek Kullanımı"
+    },
+    "otherProcesses": {
+      "title": "Diğer İşlemler",
+      "processCpuUsage": "İşlem CPU Kullanımı",
+      "processMemoryUsage": "İşlem Bellek Kullanımı"
+    },
+    "detector": {
+      "title": "Algılayıcılar",
+      "inferenceSpeed": "Algılayıcı Çıkarım Hızı",
+      "memoryUsage": "Algılayıcı Bellek Kullanımı",
+      "cpuUsage": "Algılayıcı İşlemci Kullanımı",
+      "temperature": "Algılayıcı Sıcaklığı"
+    },
+    "title": "Genel"
+  },
+  "storage": {
+    "title": "Depolama",
+    "overview": "Genel",
+    "recordings": {
+      "title": "Kayıtlar",
+      "earliestRecording": "Mevcut en erken kayıt:",
+      "tips": "Burada gösterilen değer, Frigate’in veritabanına göre kayıtların diskinizde kullandığı toplam alanı ifade eder. Frigate, diskinizdeki tüm dosyaların alan kullanımını takip etmez."
+    },
+    "cameraStorage": {
+      "title": "Kamera Depolaması",
+      "camera": "Kamera",
+      "unused": {
+        "tips": "Eğer diskinizde Frigate'in kayıtları dışında dosyalar varsa bu değer diskinizdeki boş alanı doğru olarak göstermeyebilir. Frigate kendi kayıtları dışındaki dosyaların disk kullanımını takip etmez.",
+        "title": "Kullanılmayan"
+      },
+      "percentageOfTotalUsed": "Toplam Yüzde",
+      "storageUsed": "Depolama",
+      "bandwidth": "Saatlik Veri Kullanımı",
+      "unusedStorageInformation": "Kullanılmayan Depolama Bilgisi"
+    }
+  },
+  "cameras": {
+    "info": {
+      "streamDataFromFFPROBE": "Yayın bilgisi <code>ffprobe</code> ile edinilmiştir.",
+      "video": "Video:",
+      "codec": "Kodlama:",
+      "fps": "Kare Hızı:",
+      "resolution": "Çözünürlük:",
+      "unknown": "Bilinmeyen",
+      "stream": "Yayın {{idx}}",
+      "tips": {
+        "title": "Kamera Detayları"
+      },
+      "fetching": "Kamera Bilgileri Alınıyor",
+      "cameraProbeInfo": "{{camera}} Kamera Detayları",
+      "error": "Hata: {{error}}",
+      "audio": "Ses:",
+      "aspectRatio": "en boy oranı"
+    },
+    "framesAndDetections": "Kare / Tespit",
+    "label": {
+      "camera": "kamera",
+      "detect": "tespit",
+      "ffmpeg": "FFmpeg",
+      "capture": "kayıt",
+      "skipped": "atlanan",
+      "overallDetectionsPerSecond": "toplam tespit/sn",
+      "overallFramesPerSecond": "toplam kare/sn",
+      "cameraFramesPerSecond": "{{camName}} kare/sn",
+      "overallSkippedDetectionsPerSecond": "toplam atlanan tespit/sn",
+      "cameraCapture": "{{camName}} kayıt",
+      "cameraDetect": "{{camName}} tespit",
+      "cameraDetectionsPerSecond": "{{camName}} tespit/sn",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} atlanan tespit/sn",
+      "cameraFfmpeg": "{{camName}} FFmpeg"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Detaylar panoya kopyalandı."
+      },
+      "error": {
+        "unableToProbeCamera": "Kamera detayları alınamadı: {{errorMessage}}"
+      }
+    },
+    "title": "Kameralar",
+    "overview": "Genel"
+  },
+  "lastRefreshed": "Son güncelleme: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} FFmpeg'te yüksek miktarda CPU kullanıyor (%{{ffmpegAvg}})",
+    "reindexingEmbeddings": "Gömüler yeniden dizinleniyor (%{{processed}} tamamlandı)",
+    "detectHighCpuUsage": "{{camera}} tespitte yüksek miktarda CPU kullanıyor (%{{detectAvg}})",
+    "healthy": "Sistem sağlıklı",
+    "detectIsVerySlow": "{{detect}} çok yavaş çalışıyor ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} çevrimdışı",
+    "detectIsSlow": "{{detect}} yavaş çalışıyor ({{speed}} ms)"
+  },
+  "enrichments": {
+    "embeddings": {
+      "image_embedding_speed": "Resim Gömü Hızı",
+      "text_embedding_speed": "Metin Gömü Hızı",
+      "plate_recognition_speed": "Plaka Tanıma Hızı",
+      "face_embedding_speed": "Yüz Gömü Hızı",
+      "image_embedding": "Resim Gömüleme",
+      "text_embedding": "Metin Gömülüeme",
+      "face_recognition": "Yüz Tanıma",
+      "plate_recognition": "Plaka Tanıma",
+      "face_recognition_speed": "Yüz Tanıma Hızı",
+      "yolov9_plate_detection_speed": "YOLOv9 Plaka Tanıma Hızı",
+      "yolov9_plate_detection": "YOLOv9 Plaka Tanıma"
+    },
+    "infPerSecond": "Saniye Başına Çıkarım",
+    "title": "Zenginleştirmeler"
+  },
+  "logs": {
+    "download": {
+      "label": "Günlükleri İndir"
+    },
+    "type": {
+      "message": "Mesaj",
+      "tag": "Etiket",
+      "timestamp": "Zaman Damgası",
+      "label": "Tür"
+    },
+    "copy": {
+      "error": "Günlükler panoya kopyalanamadı",
+      "label": "Panoya Kopyala",
+      "success": "Günlükler panoya kopyalandı"
+    },
+    "tips": "Günlükler sunucudan yansıtılıyor",
+    "toast": {
+      "error": {
+        "whileStreamingLogs": "Günlükler yansıtılırken hata: {{errorMessage}}",
+        "fetchingLogsFailed": "Günlükler alınırken hata: {{errorMessage}}"
+      }
+    }
+  },
+  "title": "Sistem"
+}
diff --git a/web/public/locales/uk/audio.json b/web/public/locales/uk/audio.json
new file mode 100644
index 000000000..e5b27820a
--- /dev/null
+++ b/web/public/locales/uk/audio.json
@@ -0,0 +1,429 @@
+{
+  "child_singing": "Дитячий спів",
+  "breathing": "Дихання",
+  "cough": "Кашель",
+  "throat_clearing": "Прозорий очищення",
+  "mantra": "Мантра",
+  "synthetic_singing": "Синтетичний спів",
+  "whimper_dog": "Собаче скиглення",
+  "cat": "Кіт",
+  "cowbell": "Коров'ячий здвіночок",
+  "whispering": "Шепіт",
+  "run": "Біг",
+  "choir": "Хор",
+  "chewing": "Жування",
+  "pets": "Домашні улюбленці",
+  "dog": "Собака",
+  "bark": "Лай",
+  "meow": "Котяче нявчання",
+  "horse": "Кінь",
+  "moo": "Мичання",
+  "goat": "Коза",
+  "sheep": "Вівця",
+  "chicken": "Курка",
+  "speech": "Мо́влення",
+  "idling": "Холостий хід",
+  "railroad_car": "Залізничний вагон",
+  "alarm": "Сигналізація",
+  "fire_alarm": "Пожежна сигналізація",
+  "flute": "Флейта",
+  "musical_instrument": "Музичний інструмент",
+  "buzz": "Дзижчання",
+  "fly": "Муха",
+  "vocal_music": "Вокальна музика",
+  "motorcycle": "Мотоцикл",
+  "rustling_leaves": "Шелест листя",
+  "crackle": "Потріскування",
+  "thunder": "Грім",
+  "rock_and_roll": "Рок-н-рол",
+  "theme_music": "Тематична музика",
+  "exciting_music": "Енергійна музика",
+  "water": "Вода",
+  "violin": "Скрипка",
+  "tubular_bells": "Трубчасті дзвони",
+  "christmas_music": "Різдвяна музика",
+  "house_music": "Хауз",
+  "fire": "Вогонь",
+  "tapping": "Постукування",
+  "scratching": "Скретчінг",
+  "drum_kit": "Ударна установка",
+  "engine": "Двигун",
+  "light_engine": "Легкий двигун",
+  "swing_music": "Свінг",
+  "opera": "Опера",
+  "electronic_dance_music": "Електронна танцювальна музика",
+  "dance_music": "Танцювальна музика",
+  "thunderstorm": "Гроза",
+  "waves": "Хвилі",
+  "trombone": "Тромбон",
+  "music_of_asia": "Азіатська музика",
+  "tools": "Iнструменти",
+  "wind_chime": "Музика вітру",
+  "singing_bowl": "Співоча чаша",
+  "boat": "Човен",
+  "sailboat": "Вітрильник",
+  "rowboat": "Весловий човен",
+  "power_windows": "Електросклопідйомники",
+  "cutlery": "Столові прибори",
+  "mechanical_fan": "Механічний вентилятор",
+  "traffic_noise": "Дорожній шум",
+  "aircraft_engine": "Двигун повітряного судна",
+  "dental_drill's_drill": "Стоматологічна бормашина",
+  "door": "Двері",
+  "accelerating": "Прискорення",
+  "siren": "Сирена",
+  "typewriter": "Друкарська машинка",
+  "computer_keyboard": "Комп'ютерна клавіатура",
+  "smoke_detector": "Датчик диму",
+  "hammer": "Молот",
+  "gunshot": "Постріл",
+  "machine_gun": "Автомат",
+  "fireworks": "Феєрверки",
+  "firecracker": "Петарда",
+  "heartbeat": "Серцебиття",
+  "heart_murmur": "Серцевий шум",
+  "footsteps": "Кроки",
+  "burping": "Відрижка",
+  "hiccup": "Ікання",
+  "fart": "Пукання",
+  "finger_snapping": "Клацати пальцями",
+  "applause": "Оплески",
+  "chatter": "Балаканина",
+  "animal": "Тварина",
+  "yip": "Гавкання",
+  "babbling": "Бурмотіння",
+  "yell": "Кричати",
+  "bow_wow": "Гав гав",
+  "growling": "Ревіння",
+  "purr": "Муркотіти",
+  "hiss": "Шипіння",
+  "clip_clop": "Цокання",
+  "neigh": "іржання",
+  "oink": "Рохкання",
+  "bleat": "Мекання",
+  "cluck": "Кудкудакання",
+  "cock_a_doodle_doo": "Кукурікання",
+  "honk": "Гелготання",
+  "roar": "Гуркіт",
+  "bird": "Птах",
+  "chirp": "Цвірінькання",
+  "pigeon": "Голуб",
+  "coo": "Воркування",
+  "crow": "Ворона",
+  "caw": "Каркання",
+  "owl": "Сова",
+  "hoot": "Ухання",
+  "flapping_wings": "Ляскання крил",
+  "dogs": "Собаки",
+  "rats": "Щури",
+  "mouse": "Миш",
+  "patter": "Шерех",
+  "insect": "Комара",
+  "cricket": "Цвіркун",
+  "mosquito": "Комар",
+  "frog": "Жаба",
+  "croak": "Квакання",
+  "snake": "Змія",
+  "rattle": "Тріск",
+  "whale_vocalization": "Співання кита",
+  "music": "Музика",
+  "guitar": "Гітара",
+  "electric_guitar": "Електрогітара",
+  "bass_guitar": "Бас-гітара",
+  "acoustic_guitar": "Акустична гітара",
+  "strum": "Звук струн",
+  "keyboard": "Клавіатура",
+  "piano": "Піаніно",
+  "electric_piano": "Електропіаніно",
+  "organ": "Орган",
+  "electronic_organ": "Електроорган",
+  "synthesizer": "Синтезатор",
+  "percussion": "Ударні інструменти",
+  "drum": "Барабан",
+  "snare_drum": "Малий барабан",
+  "drum_roll": "Барабанний дріб",
+  "bass_drum": "Бас-барабан",
+  "tambourine": "Бубон",
+  "gong": "Гонг",
+  "glockenspiel": "Дзвіночки",
+  "orchestra": "Оркестр",
+  "double_bass": "Контрабас",
+  "wind_instrument": "Духовий інструмент",
+  "saxophone": "Саксофон",
+  "clarinet": "Кларнет",
+  "harp": "Арфа",
+  "bell": "Дзвін",
+  "church_bell": "Церковний дзвін",
+  "jingle_bell": "Бубонець",
+  "bicycle_bell": "Велосипедний дзвінок",
+  "tuning_fork": "Камертон",
+  "chime": "Дзвіночок",
+  "harmonica": "Губна гармоніка",
+  "accordion": "Акордеон",
+  "bagpipes": "Волинка",
+  "theremin": "Терменвокс",
+  "pop_music": "Поп-музика",
+  "hip_hop_music": "Хіп-хоп музика",
+  "beatboxing": "Бітбоксинг",
+  "rock_music": "Рок-музика",
+  "punk_rock": "Панк-рок",
+  "psychedelic_rock": "Психоделічний рок",
+  "rhythm_and_blues": "Ритм-н-блюз",
+  "country": "Кантрі",
+  "funk": "Фанк",
+  "folk_music": "Фолк-музика",
+  "jazz": "Джаз",
+  "disco": "Диско",
+  "classical_music": "Класична музика",
+  "electronic_music": "Електронна музика",
+  "techno": "Техно",
+  "dubstep": "Дабстеп",
+  "drum_and_bass": "Драм-н-бейс",
+  "electronica": "Електроніка",
+  "ambient_music": "Ембієнт",
+  "trance_music": "Транс музика",
+  "music_of_latin_america": "Латиноамериканська музика",
+  "flamenco": "Фламенко",
+  "blues": "Блюз",
+  "music_for_children": "Дитяча музика",
+  "a_capella": "А капела",
+  "music_of_africa": "Африканська музика",
+  "afrobeat": "Афробіт",
+  "christian_music": "Християнська музика",
+  "gospel_music": "Госпел",
+  "carnatic_music": "Карнатична музика",
+  "ska": "Ска-музика",
+  "traditional_music": "Традиційна музика",
+  "independent_music": "Iнді музика",
+  "song": "Пісня",
+  "background_music": "Фонова музика",
+  "jingle": "Джингл",
+  "soundtrack_music": "Саундтрек",
+  "lullaby": "Колискова",
+  "video_game_music": "Музика з відеоігор",
+  "wedding_music": "Весільна музика",
+  "happy_music": "Весела музика",
+  "sad_music": "Сумна музика",
+  "tender_music": "Ніжна музика",
+  "angry_music": "Сердита музика",
+  "scary_music": "Моторошна музика",
+  "wind": "Вітер",
+  "wind_noise": "Шум вітру",
+  "rain": "Дощ",
+  "raindrop": "Краплі дощу",
+  "rain_on_surface": "Дощ на поверхні",
+  "stream": "Потік",
+  "waterfall": "Водоспад",
+  "ocean": "Океан",
+  "steam": "Пар",
+  "gurgling": "Дзюрчання",
+  "vehicle": "Транспорт",
+  "motorboat": "Моторний човен",
+  "ship": "Корабель",
+  "motor_vehicle": "Моторний транспорт",
+  "car": "Автомобіль",
+  "toot": "Гудок",
+  "car_alarm": "Автосигналізація",
+  "skidding": "Занос",
+  "tire_squeal": "Вереск шін",
+  "car_passing_by": "Проїжджаюча машина",
+  "race_car": "Гоночний автомобіль",
+  "truck": "Вантажівка",
+  "air_brake": "Пневматичне гальмо",
+  "air_horn": "Пневматичні гудок",
+  "reversing_beeps": "Сигнал заднього ходу",
+  "ice_cream_truck": "Вантажівки з морозивом",
+  "bus": "Автобус",
+  "emergency_vehicle": "Транспорт екстрених служб",
+  "police_car": "Поліцейський автомобіль",
+  "ambulance": "Швидка допомога",
+  "fire_engine": "Пожежна машина",
+  "rail_transport": "Рейковий транспорт",
+  "train": "Поїзд",
+  "train_whistle": "Свист поїзда",
+  "train_horn": "Гудок поїзда",
+  "train_wheels_squealing": "Вереск колес поїзда",
+  "subway": "Метро",
+  "aircraft": "Повітряне судно",
+  "jet_engine": "Реактивний двигун",
+  "propeller": "Пропелер",
+  "helicopter": "Вертоліт",
+  "fixed-wing_aircraft": "Літак з нерухомим крилом",
+  "bicycle": "Велосипед",
+  "skateboard": "Скейтборд",
+  "lawn_mower": "Газонокосарка",
+  "chainsaw": "Ланцюгова пила",
+  "medium_engine": "Середні двигун",
+  "heavy_engine": "Важкий двигун",
+  "engine_knocking": "Детонація у двигуні",
+  "engine_starting": "Запуск двигуна",
+  "doorbell": "Дверний дзвінок",
+  "ding-dong": "Дін-дон",
+  "sliding_door": "Розсувні двері",
+  "slam": "Бавовна",
+  "knock": "Стукіт",
+  "tap": "Невеличкий стук",
+  "squeak": "Скрип",
+  "cupboard_open_or_close": "Відкриття або закриття шафи",
+  "drawer_open_or_close": "Відкриття або закриття коробки",
+  "dishes": "Тарілки",
+  "chopping": "Нарізування",
+  "frying": "Смаження",
+  "microwave_oven": "Мікрохвильова піч",
+  "blender": "Блендер",
+  "water_tap": "Водопровідний кран",
+  "sink": "Раковина",
+  "bathtub": "Ванна",
+  "hair_dryer": "Фен",
+  "toilet_flush": "Злив унітазу",
+  "toothbrush": "Зубна щітка",
+  "electric_toothbrush": "Електрична зубна щітка",
+  "vacuum_cleaner": "Пилосос",
+  "zipper": "Блискавки на одязі",
+  "keys_jangling": "Брязкання ключів",
+  "coin": "Монета",
+  "scissors": "Ножиці",
+  "electric_shaver": "Електробритва",
+  "shuffling_cards": "Тасуванні карт",
+  "typing": "Друкування",
+  "writing": "Написання",
+  "telephone": "Телефон",
+  "telephone_bell_ringing": "Телефонний дзвінок",
+  "ringtone": "Рінгтон",
+  "telephone_dialing": "Набір телефонного номеру",
+  "dial_tone": "Телефонний гудок",
+  "busy_signal": "Сигнал зайнято",
+  "alarm_clock": "Будильник",
+  "civil_defense_siren": "Сирени громадянської оборони",
+  "buzzer": "Зумер",
+  "foghorn": "Туманний горн",
+  "whistle": "Свисток",
+  "steam_whistle": "Парової свисток",
+  "mechanisms": "Механізми",
+  "ratchet": "Тріскачка",
+  "clock": "Годинник",
+  "tick": "Тік",
+  "tick-tock": "Тік-так",
+  "gears": "Шестерні",
+  "pulleys": "Шківи",
+  "sewing_machine": "Швейна машинка",
+  "air_conditioning": "Кондиціонер",
+  "cash_register": "Каса",
+  "printer": "Принтер",
+  "camera": "Камера",
+  "single-lens_reflex_camera": "Дзеркальна камера",
+  "jackhammer": "Відбійний молоток",
+  "sawing": "Розпилювання",
+  "filing": "Звучання напилку",
+  "sanding": "Шліфування",
+  "power_tool": "Електроінструмент",
+  "drill": "Дриль",
+  "explosion": "Вибух",
+  "fusillade": "Збройна черга",
+  "artillery_fire": "Артилерійський вогонь",
+  "cap_gun": "Iграшковий пістолет",
+  "burst": "Черга пострілів",
+  "eruption": "Виверження",
+  "boom": "Бум",
+  "wood": "Деревина",
+  "chop": "Рубання",
+  "splinter": "Тріска",
+  "crack": "Тріщина",
+  "glass": "Скло",
+  "chink": "Дзенькіт",
+  "shatter": "Розбиття",
+  "silence": "Тиша",
+  "sound_effect": "Звуковий ефект",
+  "environmental_noise": "Шум навколишнього середовища",
+  "static": "Статичний шум",
+  "white_noise": "Білий шум",
+  "pink_noise": "Рожевий шум",
+  "television": "Телебачення",
+  "radio": "Радіо",
+  "field_recording": "Польова запись",
+  "scream": "Крик",
+  "laughter": "Сміх",
+  "bellow": "Рев",
+  "singing": "Спів",
+  "whoop": "Вигук",
+  "snicker": "хіхікання",
+  "crying": "Плач",
+  "sigh": "Зітхання",
+  "yodeling": "Співати йодлем",
+  "chant": "Скандування",
+  "grunt": "Гарчання",
+  "wheeze": "Хрипіти",
+  "gasp": "Aхнути",
+  "snort": "Пирхання",
+  "sniff": "Понюхати",
+  "shuffle": "Перетасувати",
+  "biting": "Кусання",
+  "gargling": "Полоскання",
+  "stomach_rumble": "Шлунок бурчати",
+  "hands": "Руки",
+  "clapping": "Плескання",
+  "cheering": "Аплодувати",
+  "crowd": "Натовп",
+  "children_playing": "Діти граються",
+  "howl": "Виття",
+  "rapping": "Стукiт",
+  "humming": "Гудіння",
+  "caterwaul": "Нявкання",
+  "livestock": "Тваринництво",
+  "cattle": "Велика рогата худоба",
+  "pig": "Свиня",
+  "fowl": "Птиця",
+  "turkey": "Iндичка",
+  "gobble": "Гелґотіння",
+  "duck": "Качка",
+  "quack": "Крякання",
+  "goose": "Гусак",
+  "wild_animals": "Дикі тварини",
+  "roaring_cats": "Ревіння котів",
+  "squawk": "Пташиний крик",
+  "plucked_string_instrument": "Щипковий струнний інструмент",
+  "steel_guitar": "Слайд-гітара",
+  "banjo": "Банджо",
+  "sitar": "Ситара",
+  "mandolin": "Мандоліна",
+  "zither": "Цитра",
+  "ukulele": "Укулеле",
+  "hammond_organ": "Орган Хаммонда",
+  "sampler": "Семплер",
+  "harpsichord": "Клавесин",
+  "drum_machine": "Драм-машина",
+  "rimshot": "Удар по ободу",
+  "timpani": "Тимпані",
+  "tabla": "Табла",
+  "cymbal": "Тарілка",
+  "hi_hat": "Хай-хет",
+  "wood_block": "Дерев'яний брусок",
+  "maraca": "Маракас",
+  "mallet_percussion": "Малет-перкусія",
+  "marimba": "Маримба",
+  "vibraphone": "Вібрафон",
+  "steelpan": "Стілпен",
+  "brass_instrument": "Мідний духовий інструмент",
+  "french_horn": "Валторна",
+  "trumpet": "Труба",
+  "bowed_string_instrument": "Струнно-смичкови інструмент",
+  "string_section": "Струнна секція",
+  "pizzicato": "Піцикато",
+  "cello": "Віолончель",
+  "didgeridoo": "Діджеріду",
+  "heavy_metal": "Хеві-метал",
+  "grunge": "Гранж",
+  "progressive_rock": "Прогресивний рок",
+  "soul_music": "Соул",
+  "reggae": "Реггі",
+  "bluegrass": "Блюграс",
+  "middle_eastern_music": "Близькосхідна музика",
+  "salsa_music": "Музика сальси",
+  "new-age_music": "Музика нью-ейдж",
+  "music_of_bollywood": "Музика Боллівуду",
+  "groan": "стогнати",
+  "whistling": "Свист",
+  "snoring": "Хропіння",
+  "pant": "Задихатися",
+  "sneeze": "Чхати"
+}
diff --git a/web/public/locales/uk/common.json b/web/public/locales/uk/common.json
new file mode 100644
index 000000000..029364971
--- /dev/null
+++ b/web/public/locales/uk/common.json
@@ -0,0 +1,266 @@
+{
+  "time": {
+    "year_one": "{{time}}рік",
+    "year_few": "{{time}}роки",
+    "year_many": "{{time}}років",
+    "month_one": "{{time}}місяць",
+    "month_few": "{{time}}місяця",
+    "month_many": "{{time}} місяців",
+    "justNow": "Зараз",
+    "today": "Сьогодні",
+    "last7": "Останні 7 днів",
+    "last14": "Останній 14 днів",
+    "last30": "Останній 30 днів",
+    "thisWeek": "Цей тиждень",
+    "lastWeek": "Останній тиждень",
+    "thisMonth": "У цьому місяці",
+    "lastMonth": "Останній місяць",
+    "5minutes": "5 хвилин",
+    "10minutes": "10 хвилин",
+    "30minutes": "30 хвилин",
+    "1hour": "1 година",
+    "12hours": "12 годин",
+    "24hours": "24 години",
+    "pm": "вечора",
+    "am": "ранку",
+    "yr": "{{time}} рік",
+    "hour_one": "{{time}} година",
+    "hour_few": "{{time}} години",
+    "hour_many": "{{time}} годин",
+    "minute_one": "{{time}} хвилина",
+    "minute_few": "{{time}} хвилини",
+    "minute_many": "{{time}} хвилин",
+    "day_one": "{{time}} день",
+    "day_few": "{{time}} дні",
+    "day_many": "{{time}} днів",
+    "second_one": "{{time}}секунда",
+    "second_few": "{{time}}секунди",
+    "second_many": "{{time}}секунд",
+    "ago": "{{timeAgo}} тому",
+    "yesterday": "Учора",
+    "mo": "{{time}}місяць",
+    "d": "{{time}}д",
+    "h": "{{time}}г",
+    "m": "{{time}}хв",
+    "s": "{{time}}сек",
+    "untilForTime": "До {{time}}",
+    "untilForRestart": "Доки Frigate не перезавантажиться.",
+    "untilRestart": "До перезавантаження",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd.MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampMonthDayYear": {
+      "24hour": "MMM d, yyyy",
+      "12hour": "MMM d, yyyy"
+    }
+  },
+  "button": {
+    "exitFullscreen": "Вийти з повноекранного режиму",
+    "on": "ВКЛ",
+    "yes": "Так",
+    "copy": "Копіювати",
+    "close": "Закрити",
+    "saving": "Збереження…",
+    "history": "Історія",
+    "cancel": "Відмінити",
+    "fullscreen": "Повноекранний режим",
+    "back": "Назад",
+    "pictureInPicture": "Картинка в картинці",
+    "cameraAudio": "Аудіо камери",
+    "copyCoordinates": "Копіювати координати",
+    "edit": "Редагувати",
+    "no": "Ні",
+    "twoWayTalk": "Двосторонній зв'язок",
+    "off": "ВИКЛ",
+    "delete": "Видалити",
+    "apply": "Застосувати",
+    "reset": "Скинути",
+    "done": "Готово",
+    "enabled": "Увімкнено",
+    "enable": "Увімкнути",
+    "disabled": "Вимкнено",
+    "disable": "Вимкнути",
+    "save": "Зберегти",
+    "download": "Завантажити",
+    "info": "Інфо",
+    "suspended": "Призупинено",
+    "play": "Грати",
+    "unselect": "Прибрати виділення",
+    "export": "Експортувати",
+    "deleteNow": "Видалити негайно",
+    "next": "Наступне",
+    "unsuspended": "Відновити дію"
+  },
+  "menu": {
+    "language": {
+      "da": "Датська",
+      "uk": "Українська",
+      "ro": "Румунська",
+      "es": "Іспанська",
+      "zhCN": "Спрощена китайська",
+      "hi": "Хінді",
+      "fr": "Французька",
+      "ar": "Арабська",
+      "pt": "Португальська",
+      "de": "Німецька",
+      "ja": "Японська",
+      "tr": "Турецька",
+      "ru": "російська",
+      "it": "Італійська",
+      "nl": "Голландська",
+      "sv": "Швецька",
+      "cs": "Чешська",
+      "nb": "Норвежский букмол",
+      "ko": "Корейська",
+      "vi": "В'єтнамська",
+      "fa": "Персидська",
+      "pl": "Польська",
+      "he": "Иврит",
+      "el": "Грецька",
+      "hu": "Венгерська",
+      "fi": "Фінська",
+      "sk": "Словацька",
+      "withSystem": {
+        "label": "Використовувати системну мову"
+      },
+      "en": "Англійська",
+      "yue": "粵語 (Кантонська)",
+      "th": "ไทย (Тайська)",
+      "ca": "Català (Каталанська)"
+    },
+    "system": "Система",
+    "systemMetrics": "Системна метріка",
+    "configuration": "Конфігурація",
+    "systemLogs": "Системні логи",
+    "settings": "Налаштування",
+    "configurationEditor": "Редактор конфігурації",
+    "languages": "Мови",
+    "theme": {
+      "nord": "Північ",
+      "red": "Червоний",
+      "contrast": "Висока контрастність",
+      "default": "Типовий",
+      "label": "Тема",
+      "blue": "Синій",
+      "green": "Зелений",
+      "highcontrast": "Висока контрастність"
+    },
+    "help": "Допомогти",
+    "documentation": {
+      "title": "Документація",
+      "label": "Frigate документація"
+    },
+    "restart": "Перезапустити Frigate",
+    "live": {
+      "title": "Живи",
+      "allCameras": "Всi камери",
+      "cameras": {
+        "title": "Камери",
+        "count_one": "{{count}} Камера",
+        "count_few": "{{count}} Камери",
+        "count_many": "{{count}} Камер"
+      }
+    },
+    "review": "Перегляд",
+    "explore": "Вивчити",
+    "export": "Експорт",
+    "uiPlayground": "UI iгровий майданчик",
+    "faceLibrary": "Бібліотека обличчя",
+    "user": {
+      "title": "Користувач",
+      "account": "Акаунт",
+      "current": "Поточний користувач: {{user}}",
+      "anonymous": "анонімний",
+      "logout": "Вихід",
+      "setPassword": "Встановити пароль"
+    },
+    "darkMode": {
+      "label": "Темний режим",
+      "light": "Світло",
+      "dark": "Темний",
+      "withSystem": {
+        "label": "Використовуйте налаштування системи для світлого або темного режиму"
+      }
+    },
+    "appearance": "Поява",
+    "withSystem": "Система"
+  },
+  "unit": {
+    "speed": {
+      "mph": "миль/г",
+      "kph": "км/г"
+    },
+    "length": {
+      "feet": "ноги",
+      "meters": "метрів"
+    }
+  },
+  "label": {
+    "back": "Повернутись"
+  },
+  "toast": {
+    "save": {
+      "title": "Зберегти",
+      "error": {
+        "title": "Не вдалося зберегти зміни конфігурації: {{errorMessage}}",
+        "noMessage": "Не вдалося зберегти зміни налаштування"
+      }
+    },
+    "copyUrlToClipboard": "Скопійовано URL до буфера обміну."
+  },
+  "role": {
+    "title": "Роль",
+    "desc": "Адміністратори мають повний доступ до всіх функцій інтерфейсу Fregate. Глядачі обмежуються переглядом камер, оглядовими елементами та історичними кадрами в інтерфейсі користувача.",
+    "admin": "Адміністратор",
+    "viewer": "Глядач"
+  },
+  "pagination": {
+    "previous": {
+      "title": "Попередній",
+      "label": "Повернутись до попередньої сторінки"
+    },
+    "next": {
+      "title": "Наступний",
+      "label": "Перехід до наступної сторінки"
+    },
+    "more": "Більше сторінок",
+    "label": "Пагінація"
+  },
+  "accessDenied": {
+    "documentTitle": "Доступ заборонений - Frigate",
+    "title": "Доступ заборонений",
+    "desc": "У вас немає дозволу на перегляд цієї сторінки."
+  },
+  "notFound": {
+    "documentTitle": "Не знайдено - Frigate",
+    "desc": "Сторінка не знайдена",
+    "title": "404"
+  },
+  "selectItem": "Вибрати {{item}}"
+}
diff --git a/web/public/locales/uk/components/auth.json b/web/public/locales/uk/components/auth.json
new file mode 100644
index 000000000..07eaca4e3
--- /dev/null
+++ b/web/public/locales/uk/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "errors": {
+      "webUnknownError": "Невідома помилка. Перевірте журнали консолi.",
+      "usernameRequired": "Ви повинні ввести ім'я користувача",
+      "passwordRequired": "Необхідно ввести пароль",
+      "rateLimit": "Перевищення кількості спроб. Спробуйте пізніше.",
+      "loginFailed": "Спроба входу зазнала невдачі",
+      "unknownError": "Невідома помилка. Перевірте журнали."
+    },
+    "user": "Iм'я користувача",
+    "password": "Пароль",
+    "login": "Логiн"
+  }
+}
diff --git a/web/public/locales/uk/components/camera.json b/web/public/locales/uk/components/camera.json
new file mode 100644
index 000000000..76886a7b8
--- /dev/null
+++ b/web/public/locales/uk/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "name": {
+      "placeholder": "Введіть назву…",
+      "errorMessage": {
+        "exists": "Назва групи камер вже існує.",
+        "mustLeastCharacters": "Назва групи камер має містити щонайменше 2 символи.",
+        "nameMustNotPeriod": "Назва групи камер не повинна містити крапку.",
+        "invalid": "Недійсна назва групи камер."
+      },
+      "label": "Ім'я"
+    },
+    "camera": {
+      "setting": {
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "label": "Без потокового передавання",
+              "desc": "Зображення з камер оновлюватимуться лише раз на хвилину, і пряма трансляція не відбуватиметься."
+            },
+            "continuousStreaming": {
+              "desc": {
+                "warning": "Безперервна потокова передача може призвести до високого використання пропускної здатності та проблем із продуктивністю. Використовуйте обережно.",
+                "title": "Зображення з камери завжди транслюватиметься в реальному часі, коли воно відображається на панелі приладів, навіть якщо жодної активності не виявлено."
+              },
+              "label": "Безперервна потокова передача"
+            },
+            "smartStreaming": {
+              "label": "Розумне потокове передавання (рекомендовано)",
+              "desc": "Інтелектуальна потокова передача оновлює зображення з камери раз на хвилину за відсутності видимої активності, щоб заощадити смугу пропускання і ресурси. При виявленні активності зображення плавно перемикається на пряму трансляцію."
+            }
+          },
+          "label": "Метод потокової передачі",
+          "placeholder": "Виберіть спосіб потокової передачі"
+        },
+        "audioIsUnavailable": "Аудіо недоступне для цієї трансляції",
+        "title": "{{cameraName}} Налаштування потокової передачі",
+        "audio": {
+          "tips": {
+            "document": "Прочитайте документацію ",
+            "title": "Аудіо має виводитися з вашої камери та бути налаштованим у go2rtc для цього потоку."
+          }
+        },
+        "label": "Налаштування потокової передачі з камери",
+        "desc": "Змініть параметри прямої трансляції для панелі керування цієї групи камер. <em>Ці налаштування залежать від пристрою/браузера.</em>",
+        "audioIsAvailable": "Для цього потоку доступне аудіо",
+        "compatibilityMode": {
+          "label": "Режим сумісності",
+          "desc": "Увімкніть цю опцію, лише якщо пряма трансляція вашої камери відображає кольорові артефакти та має діагональну лінію з правого боку зображення."
+        },
+        "stream": "Потік",
+        "placeholder": "Виберіть потік"
+      }
+    },
+    "edit": "Редагувати групу камер",
+    "delete": {
+      "label": "Видалити групу камер",
+      "confirm": {
+        "title": "Підтвердити видалення",
+        "desc": "Ви впевнені, що хочете видалити групу камер? <em>{{name}}</em>?"
+      }
+    },
+    "success": "Групу камер ({{name}}) збережено.",
+    "label": "Групи камер",
+    "add": "Додати групу камер",
+    "cameras": {
+      "label": "Камери",
+      "desc": "Виберіть камери для цієї групи."
+    },
+    "icon": "Значок"
+  },
+  "debug": {
+    "zones": "Зони",
+    "mask": "Маска",
+    "motion": "Рух",
+    "regions": "Регiони",
+    "options": {
+      "label": "Налаштування",
+      "title": "Опції",
+      "showOptions": "Показати параметри",
+      "hideOptions": "Приховати параметри"
+    },
+    "boundingBox": "Обмежувальна рамка",
+    "timestamp": "Позначка часу"
+  }
+}
diff --git a/web/public/locales/uk/components/dialog.json b/web/public/locales/uk/components/dialog.json
new file mode 100644
index 000000000..43cb9bd9b
--- /dev/null
+++ b/web/public/locales/uk/components/dialog.json
@@ -0,0 +1,114 @@
+{
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "ask_a": "Чи є цей об'єкт <code>{{label}}</code>?",
+          "ask_full": "Чи є цей об'єкт <code>{{untranslatedLabel}}</code>{{translatedLabel}}?",
+          "label": "Підтвердіть цей ярлик для Frigate Plus",
+          "ask_an": "Це об'єкт – <code>{{label}}</code>?"
+        },
+        "state": {
+          "submitted": "Поданi"
+        }
+      },
+      "submitToPlus": {
+        "label": "Надіслати да Frigate+",
+        "desc": "Об'єкти в місцях, які ви хочете уникнути, не є помилковими спрацьовуваннями. Подання їх як помилкових спрацьовувань заплутає модель."
+      }
+    },
+    "video": {
+      "viewInHistory": "Перегляд у історії"
+    }
+  },
+  "streaming": {
+    "label": "Потік",
+    "restreaming": {
+      "desc": {
+        "readTheDocumentation": "Прочитати документацію",
+        "title": "Налаштуйте go2rtc для додаткових параметрів перегляду в реальному часі та аудіо для цієї камери."
+      },
+      "disabled": "Перезавантаження не ввімкнено для цієї камери."
+    },
+    "showStats": {
+      "label": "Показати статистику потоку",
+      "desc": "Позначте цей пункт, щоб показувати статистику потоку як накладання на канал камери."
+    },
+    "debugView": "Режим зневаджування"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Зберегти пошук",
+      "button": {
+        "save": {
+          "label": "Зберегти цей пошук"
+        }
+      },
+      "desc": "Вкажіть назву для цього збереженого пошуку.",
+      "placeholder": "Введіть назву для пошуку",
+      "overwrite": "{{searchName}} вже існує. Збереження перезапише існуюче значення.",
+      "success": "Пошук ({{searchName}}) збережено."
+    }
+  },
+  "export": {
+    "toast": {
+      "error": {
+        "failed": "Не вдалося розпочати експорт: {{error}}",
+        "endTimeMustAfterStartTime": "Час закінчення повинен бути після часу початку",
+        "noVaildTimeSelected": "Не вибрано допустимий діапазон часу"
+      },
+      "success": "Експорт успішно запущено. Файл доступний у теці /exports."
+    },
+    "fromTimeline": {
+      "saveExport": "Зберегти експорт",
+      "previewExport": "Попередній перегляд експорту"
+    },
+    "time": {
+      "fromTimeline": "Вибір шкали часу",
+      "custom": "Користувацький",
+      "start": {
+        "title": "Час початку",
+        "label": "Виберіть час початку"
+      },
+      "end": {
+        "title": "Час закінчення",
+        "label": "Вибрати час закінчення"
+      },
+      "lastHour_one": "Остання {{count}} година",
+      "lastHour_few": "Останні {{count}} години",
+      "lastHour_many": "Останні {{count}} годин"
+    },
+    "name": {
+      "placeholder": "Введіть назву для експорту"
+    },
+    "select": "Вибрати",
+    "export": "Експорт",
+    "selectOrExport": "Выбiр або експорт"
+  },
+  "recording": {
+    "button": {
+      "export": "Експорт",
+      "markAsReviewed": "Позначити як переглянуте",
+      "deleteNow": "Вилучити зараз"
+    },
+    "confirmDelete": {
+      "title": "Підтвердити вилучення",
+      "desc": {
+        "selected": "Ви впевнені, що хочете видалити все записане відео, пов'язане з цим пунктом огляду? <br /><br /> Утримуйте клавішу <em>Shift</em>, щоб обійти це діалогове вікно в майбутньому."
+      },
+      "toast": {
+        "error": "Не вдалося видалити: {{error}}",
+        "success": "Відеозаписи, пов’язані з вибраними елементами огляду, успішно видалено."
+      }
+    }
+  },
+  "restart": {
+    "title": "Ви впевнені, що хочете перезапустити Frigate?",
+    "button": "Перезавантажувати",
+    "restarting": {
+      "title": "Frigate перезапускається",
+      "content": "Цю сторінку буде перезавантажено за {{countdown}} секунд.",
+      "button": "Примусово перезавантажити"
+    }
+  }
+}
diff --git a/web/public/locales/uk/components/filter.json b/web/public/locales/uk/components/filter.json
new file mode 100644
index 000000000..95c01f349
--- /dev/null
+++ b/web/public/locales/uk/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Фiльтр",
+  "explore": {
+    "settings": {
+      "defaultView": {
+        "desc": "Якщо фільтри не вибрано, відобразити резюме останніх відстежуваних об'єктів за міткою, або показати нефільтровану сітку.",
+        "title": "Вид за замовчуванням",
+        "summary": "Підсумок",
+        "unfilteredGrid": "Нефільтровані сiтка"
+      },
+      "searchSource": {
+        "desc": "Виберіть, чи слід шукати мініатюри або описи відстежуваних об'єктів.",
+        "label": "Пошук джерела",
+        "options": {
+          "thumbnailImage": "Зображення мініатюри",
+          "description": "Опис"
+        }
+      },
+      "title": "Налаштування",
+      "gridColumns": {
+        "title": "Колонки сітки",
+        "desc": "Виберіть кількість стовпчиків у вигляді сітки."
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Виберіть дату для фільтрування"
+      }
+    }
+  },
+  "labels": {
+    "count_one": "{{count}} Етикетка",
+    "all": {
+      "title": "Всi етикетки",
+      "short": "Етикетки"
+    },
+    "label": "Етикетки",
+    "count_other": "{{count}} Етикетки"
+  },
+  "cameras": {
+    "all": {
+      "short": "Камери",
+      "title": "Всi камери"
+    },
+    "label": "Фільтр камери"
+  },
+  "timeRange": "Часовий діапазон",
+  "features": {
+    "hasSnapshot": "Має своє уявлення",
+    "hasVideoClip": "Має відеокліп",
+    "label": "Особливості",
+    "submittedToFrigatePlus": {
+      "label": "Подані до Frigate+",
+      "tips": "Спочатку потрібно відфільтрувати об'єкти, які відслідковуються.<br /><br />Відстежувані об'єкти без знімка не можуть бути передані Frigate+."
+    }
+  },
+  "sort": {
+    "dateAsc": "Дата (за зростанням)",
+    "dateDesc": "Дата (по спадаючій)",
+    "label": "Сортування",
+    "scoreAsc": "Оцiнка об'єкту (За зростанням)",
+    "scoreDesc": "Оцiнка об'єкту (За спаданням)",
+    "speedAsc": "Розрахункова швидкість (За зростанням)",
+    "speedDesc": "Розрахункова швидкість (За спаданням)",
+    "relevance": "Актуальність"
+  },
+  "trackedObjectDelete": {
+    "desc": "Видалення цих {{objectLength}} відстежуваних об'єктів видаляє знімок, будь-які збережені вкладення та пов'язані з ними записи життєвого циклу об'єкта. Записані кадри цих відстежуваних об'єктів у перегляді історії <em>НЕ</em> будуть видалені.<br /><br />Ви впевнені, що хочете продовжити?<br /><br />Утримуйте клавішу <em>Shift</em>, щоб обійти це діалогове вікно в майбутньому.",
+    "title": "Підтвердіть видалення",
+    "toast": {
+      "success": "Відстежені об'єкти успішно видалені.",
+      "error": "Не вдалося видалити відстежувані об'єкти: {{errorMessage}}"
+    }
+  },
+  "zones": {
+    "label": "Зони",
+    "all": {
+      "title": "Всi зони",
+      "short": "Зони"
+    }
+  },
+  "dates": {
+    "all": {
+      "title": "Всi дати",
+      "short": "Дати"
+    },
+    "selectPreset": "Виберіть пресет…"
+  },
+  "more": "Кілька фільтрів",
+  "reset": {
+    "label": "Відновити типові значення фільтрів"
+  },
+  "subLabels": {
+    "label": "Суб-мiтка",
+    "all": "Всi суб-мiтки"
+  },
+  "score": "Рахунок",
+  "estimatedSpeed": "Розрахункова швидкість ({{unit}})",
+  "review": {
+    "showReviewed": "Показати переглянув"
+  },
+  "motion": {
+    "showMotionOnly": "Показати тiльки рух"
+  },
+  "logSettings": {
+    "label": "Фільтр рівня журналу",
+    "filterBySeverity": "Фільтрувати журнали за ступенем тяжкості",
+    "loading": {
+      "title": "Завантаження",
+      "desc": "Коли панель журналу прокручується внизу, нові журнали автоматично транслюються після додавання."
+    },
+    "disableLogStreaming": "Вимикати журнал стрімінгу",
+    "allLogs": "Всi журнали"
+  },
+  "zoneMask": {
+    "filterBy": "Фільтрувати за маскою зони"
+  },
+  "recognizedLicensePlates": {
+    "title": "Розпізнано номерні знаки",
+    "loadFailed": "Не вдалося завантажити розпізнані номерні знаки.",
+    "loading": "Завантаження визнаних номерів…",
+    "placeholder": "Введіть для пошуку номерні знаки…",
+    "noLicensePlatesFound": "Номерних знаків не знайдено.",
+    "selectPlatesFromList": "Виберіть одну або кілька пластин зі списку."
+  }
+}
diff --git a/web/public/locales/uk/components/icons.json b/web/public/locales/uk/components/icons.json
new file mode 100644
index 000000000..bb5ab6e94
--- /dev/null
+++ b/web/public/locales/uk/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Оберіть іконку",
+    "search": {
+      "placeholder": "Пошук значка…"
+    }
+  }
+}
diff --git a/web/public/locales/uk/components/input.json b/web/public/locales/uk/components/input.json
new file mode 100644
index 000000000..e7b818db7
--- /dev/null
+++ b/web/public/locales/uk/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Завантажити відео",
+      "toast": {
+        "success": "Розпочата завантаження відео."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/uk/components/player.json b/web/public/locales/uk/components/player.json
new file mode 100644
index 000000000..746eba6c1
--- /dev/null
+++ b/web/public/locales/uk/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Не знайдено жодного запису",
+  "noPreviewFoundFor": "Попередній перегляд для {{cameraName}} не знайдені",
+  "livePlayerRequiredIOSVersion": "Для цього типу потокового передавання потрібна iOS 17.1 або пізніша версія.",
+  "stats": {
+    "droppedFrames": {
+      "short": {
+        "title": "Пропущене",
+        "value": "{{droppedFrames}} кадрiв"
+      },
+      "title": "Пропущене кадрiв:"
+    },
+    "droppedFrameRate": "Частота пропущенив кадрiв:",
+    "streamType": {
+      "short": "Тип",
+      "title": "Тип потоку:"
+    },
+    "bandwidth": {
+      "title": "Пропускна здатність:",
+      "short": "Пропускна здатність"
+    },
+    "latency": {
+      "title": "Затримка:",
+      "short": {
+        "title": "Затримка",
+        "value": "{{seconds}} сек"
+      },
+      "value": "{{seconds}} секунд"
+    },
+    "totalFrames": "Всього кадрiв:",
+    "decodedFrames": "Декодовані кадри:"
+  },
+  "noPreviewFound": "Попередній перегляд не знайдені",
+  "submitFrigatePlus": {
+    "title": "Відправити це зображення Frigate+?",
+    "submit": "Посилати"
+  },
+  "streamOffline": {
+    "title": "Струм офлайн",
+    "desc": "Потік <code> detect </code > камера {{cameraName}} не отримувала ніяких кадрів, перевіряйте журнали помилок"
+  },
+  "cameraDisabled": "Камера вимкнена",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Зображення успішно завантажено до Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Не вдалося надіслати фрейм Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/uk/objects.json b/web/public/locales/uk/objects.json
new file mode 100644
index 000000000..881ac794e
--- /dev/null
+++ b/web/public/locales/uk/objects.json
@@ -0,0 +1,120 @@
+{
+  "dog": "Собака",
+  "cat": "Кіт",
+  "horse": "Кінь",
+  "sheep": "Вівця",
+  "bark": "Лай",
+  "goat": "Коза",
+  "mouse": "Миш",
+  "skateboard": "Скейтборд",
+  "bird": "Птах",
+  "boat": "Човен",
+  "car": "Автомобіль",
+  "bus": "Автобус",
+  "motorcycle": "Мотоцикл",
+  "train": "Поїзд",
+  "bicycle": "Велосипед",
+  "keyboard": "Клавіатура",
+  "door": "Двері",
+  "sink": "Раковина",
+  "animal": "Тварина",
+  "vehicle": "Транспорт",
+  "blender": "Блендер",
+  "hair_dryer": "Фен",
+  "toothbrush": "Зубна щітка",
+  "scissors": "Ножиці",
+  "clock": "Годинник",
+  "toilet": "Вбиральня",
+  "spoon": "Ложка",
+  "tennis_racket": "Тенісна ракетка",
+  "potted_plant": "Кімнатна рослина",
+  "bbq_grill": "Гриль та барбекю",
+  "person": "Людина",
+  "airplane": "Літак",
+  "traffic_light": "Світлофор",
+  "fire_hydrant": "Пожежний гідрант",
+  "parking_meter": "Паркоматів",
+  "bench": "Лавка",
+  "cow": "Корова",
+  "elephant": "Слон",
+  "bear": "Ведмідь",
+  "zebra": "Зебра",
+  "giraffe": "Жираф",
+  "hat": "Шапка",
+  "backpack": "Рюкзак",
+  "street_sign": "Дорожній знак",
+  "stop_sign": "Знак зупинки",
+  "umbrella": "Парасолька",
+  "shoe": "Взуття",
+  "eye_glasses": "Окуляри",
+  "handbag": "Гаманець",
+  "tie": "Краватка",
+  "suitcase": "Валiза",
+  "frisbee": "Фрiсбi",
+  "skis": "Лижи",
+  "snowboard": "Сноуборд",
+  "sports_ball": "Спортивні м'яч",
+  "kite": "Повітряний змій",
+  "baseball_bat": "Бейсбольна біта",
+  "baseball_glove": "Рукавичка ловця",
+  "surfboard": "Дошка для серфінгу",
+  "bottle": "Пляшка",
+  "plate": "Тарiлка",
+  "wine_glass": "Винний келих",
+  "cup": "Чашка",
+  "fork": "Виделка",
+  "knife": "Нiж",
+  "bowl": "Миска",
+  "banana": "Банан",
+  "apple": "Яблуко",
+  "sandwich": "Сендвіч",
+  "orange": "Апельсин",
+  "broccoli": "Броколі",
+  "carrot": "Морква",
+  "hot_dog": "Хот-дог",
+  "pizza": "Пiца",
+  "donut": "Пампушка",
+  "cake": "Торт",
+  "chair": "Стілець",
+  "couch": "Диван",
+  "bed": "Лiжко",
+  "mirror": "Люстерко",
+  "dining_table": "Обідній стіл",
+  "window": "Вiкно",
+  "desk": "Стiл",
+  "tv": "Телевізор",
+  "laptop": "Лептоп",
+  "remote": "Пульт дистанційного керування",
+  "cell_phone": "Мобільний телефон",
+  "microwave": "Мікрохвильовка",
+  "oven": "Пiч",
+  "toaster": "Тостер",
+  "refrigerator": "Холодильник",
+  "book": "Книжка",
+  "vase": "Ваза",
+  "teddy_bear": "Плюшевий ведмедик",
+  "hair_brush": "Гребінець",
+  "squirrel": "Білка",
+  "deer": "Олень",
+  "fox": "Лисиця",
+  "rabbit": "Кролик",
+  "raccoon": "Єнот",
+  "robot_lawnmower": "Роботизована газонокосарка",
+  "waste_bin": "Відро для сміття",
+  "on_demand": "На вимогу",
+  "face": "Обличчя",
+  "license_plate": "Номерний знак",
+  "package": "Посилка",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "Fed Ex",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator'",
+  "postnl": "PostNL'",
+  "nzpost": "NZPost'",
+  "postnord": "PostNord'",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/uk/views/configEditor.json b/web/public/locales/uk/views/configEditor.json
new file mode 100644
index 000000000..c9a664113
--- /dev/null
+++ b/web/public/locales/uk/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "saveAndRestart": "Зберегти та перезавантажити",
+  "toast": {
+    "error": {
+      "savingError": "Помилка збереження конфігурації"
+    },
+    "success": {
+      "copyToClipboard": "Налаштування було скопійовано до буфера обміну даними."
+    }
+  },
+  "documentTitle": "Редактор конфігурації - Frigate",
+  "copyConfig": "Скопіювати конфігурацію",
+  "saveOnly": "Тільки зберегти",
+  "configEditor": "Налаштування редактора",
+  "confirm": "Вийти без збереження?"
+}
diff --git a/web/public/locales/uk/views/events.json b/web/public/locales/uk/views/events.json
new file mode 100644
index 000000000..e84c418ec
--- /dev/null
+++ b/web/public/locales/uk/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "Камера",
+  "selected_one": "{{count}} відібраний",
+  "selected_other": "{{count}} відібраний",
+  "alerts": "Оповіщення",
+  "detections": "Виявлень",
+  "motion": {
+    "label": "Рух",
+    "only": "Тiльки рух"
+  },
+  "allCameras": "Всi камери",
+  "empty": {
+    "alert": "Немає попереджень для перегляду",
+    "detection": "Немає ніяких ознак",
+    "motion": "Даних про рух не знайдено"
+  },
+  "timeline": "Хронологія",
+  "timeline.aria": "Вибрати хронiку",
+  "events": {
+    "label": "Події",
+    "aria": "Выбрати події",
+    "noFoundForTimePeriod": "За цей період подій не знайдено."
+  },
+  "documentTitle": "Перегляд подiя - Frigate",
+  "recordings": {
+    "documentTitle": "Записи - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Останні 24 години"
+  },
+  "markAsReviewed": "Прибрати позначку про необхідність огляду",
+  "markTheseItemsAsReviewed": "Позначити ці елементи як переглянуті",
+  "newReviewItems": {
+    "label": "Переглянути нові елементи огляду",
+    "button": "Нові матеріали для перегляду"
+  },
+  "detected": "виявлено"
+}
diff --git a/web/public/locales/uk/views/explore.json b/web/public/locales/uk/views/explore.json
new file mode 100644
index 000000000..cdbcdb6ee
--- /dev/null
+++ b/web/public/locales/uk/views/explore.json
@@ -0,0 +1,209 @@
+{
+  "exploreIsUnavailable": {
+    "downloadingModels": {
+      "tips": {
+        "documentation": "Прочитати документацію",
+        "context": "Можливо, вам варто переіндексувати вбудовування відстежуваних об'єктів після завантаження моделей."
+      },
+      "setup": {
+        "visionModel": "Модель зору",
+        "visionModelFeatureExtractor": "Екстрактор ознак моделі зору",
+        "textModel": "Текстова модель",
+        "textTokenizer": "Токенізатор тексту"
+      },
+      "error": "Сталася помилка. Перевірте журнали Frigate.",
+      "context": "Frigate завантажує необхідні моделі вбудовування для підтримки функції семантичного пошуку. Це може тривати кілька хвилин залежно від швидкості вашого мережевого з’єднання."
+    },
+    "title": "Огляд недоступний",
+    "embeddingsReindexing": {
+      "context": "Функцію «Дослідити» можна використовувати після завершення переіндексації вбудовування відстежуваних об’єктів.",
+      "startingUp": "Запуск…",
+      "estimatedTime": "Орієнтовний час, що залишився:",
+      "finishingShortly": "Закінчується незабаром",
+      "step": {
+        "thumbnailsEmbedded": "Вбудовані мініатюри: ",
+        "descriptionsEmbedded": "Вбудовані описи: ",
+        "trackedObjectsProcessed": "Оброблено відстежуваних об'єктів: "
+      }
+    }
+  },
+  "documentTitle": "Пошук подія - Frigate",
+  "searchResult": {
+    "tooltip": "Збігається з {{type}} на рівні {{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "error": "Не вдалося видалити відстежуваний об'єкт: {{errorMessage}}",
+        "success": "Відстежуваний об'єкт успішно видалено."
+      }
+    }
+  },
+  "trackedObjectsCount_one": "{{count}} відстежуваний об'єкт ",
+  "trackedObjectsCount_few": "{{count}} відстежувані об'єкти ",
+  "trackedObjectsCount_many": "{{count}} відстежувані об'єктів ",
+  "objectLifecycle": {
+    "title": "Життєвий цикл об'єкта",
+    "createObjectMask": "Створити маску об'єкта",
+    "annotationSettings": {
+      "title": "Налаштування анотацій",
+      "offset": {
+        "desc": "Ці дані надходять із сигналу виявлення вашої камери, але накладаються на зображення із сигналу запису. Малоймовірно, що два потоки ідеально синхронізовані. В результаті, обмежувальна рамка та відеоматеріал не будуть ідеально вирівняні. Однак, для налаштування цього можна скористатися полем <code>annotation_offset</code>.",
+        "tips": "ПОРАДА: Уявіть, що є кліп події, в якому людина йде зліва направо. Якщо рамка часової шкали події постійно знаходиться ліворуч від людини, то значення слід зменшити. Аналогічно, якщо людина йде зліва направо, а обмежувальна рамка постійно знаходиться попереду неї, тоді значення слід збільшити.",
+        "label": "Зсув анотації",
+        "documentation": "Прочитайте документацію ",
+        "millisecondsToOffset": "Мілісекунди для зміщення виявлених анотацій. <em>За замовчуванням: 0</em>",
+        "toast": {
+          "success": "Зміщення анотації для {{camera}} збережено у файлі конфігурації. Перезапустіть Frigate, щоб застосувати зміни."
+        }
+      },
+      "showAllZones": {
+        "title": "Показати всі зони",
+        "desc": "Завжди показувати зони на кадрах, де об'єкти увійшли в зону."
+      }
+    },
+    "scrollViewTips": "Прокрутіть, щоб переглянути важливі моменти життєвого циклу цього об'єкта.",
+    "lifecycleItemDesc": {
+      "attribute": {
+        "other": "{{label}} визнаний як {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} виявлено для {{label}}"
+      },
+      "header": {
+        "zones": "Зони",
+        "ratio": "Співвідношення",
+        "area": "Площа"
+      },
+      "visible": "{{label}} виявлено",
+      "entered_zone": "{{label}} увійшов {{zones}}",
+      "active": "{{label}} став активним",
+      "stationary": "{{label}} став нерухомим",
+      "gone": "{{label}} ліворуч",
+      "heard": "{{label}} чув",
+      "external": "{{label}} виявлено"
+    },
+    "noImageFound": "Для цієї позначки часу не знайдено зображення.",
+    "adjustAnnotationSettings": "Налаштування параметрів анотацій",
+    "autoTrackingTips": "Положення обмежувальних рамок будуть неточними для камер з автоматичним відстеженням.",
+    "carousel": {
+      "previous": "Попередній слайд",
+      "next": "Наступний слайд"
+    },
+    "count": "{{first}} з {{second}}",
+    "trackedPoint": "Відстежувана точка"
+  },
+  "details": {
+    "label": "Мітка",
+    "editLPR": {
+      "title": "Редагувати номерний знак",
+      "desc": "Введіть нове значення номерного знака для цього {{label}}",
+      "descNoLabel": "Введіть нове значення номерного знака для цього відстежуваного об'єкта"
+    },
+    "item": {
+      "toast": {
+        "success": {
+          "updatedLPR": "Номерний знак успішно оновлено.",
+          "updatedSublabel": "Підмітку успішно оновлено.",
+          "regenerate": "Новий опис було запрошено від {{provider}}. Залежно від швидкості вашого провайдера, його перегенерація може зайняти деякий час."
+        },
+        "error": {
+          "regenerate": "Не вдалося звернутися до {{provider}} для отримання нового опису: {{errorMessage}}",
+          "updatedSublabelFailed": "Не вдалося оновити підмітку: {{errorMessage}}",
+          "updatedLPRFailed": "Не вдалося оновити номерний знак: {{errorMessage}}"
+        }
+      },
+      "button": {
+        "share": "Поділитися цим оглядом",
+        "viewInExplore": "Переглянути в розділі «Огляд»"
+      },
+      "tips": {
+        "hasMissingObjects": "Змініть конфігурацію, якщо хочете, щоб Frigate зберігав відстежувані об'єкти для таких міток: <em>{{objects}}</em>",
+        "mismatch_one": "{{count}} Виявлено та включено до цього елемента огляду недоступний об’єкт. Ці об’єкти або не кваліфікувалися як сповіщення чи виявлення, або вже були очищені/видалені.",
+        "mismatch_few": "{{count}} Було виявлено та включено до цього елемента огляду недоступні об’єкти. Ці об’єкти або не кваліфікувалися як сповіщення чи виявлення, або вже були очищені/видалені.",
+        "mismatch_many": "{{count}} Були виявлені та включені до цього елементи огляду недоступні об’єкти. Ці об’єкти або не кваліфікувалися як сповіщення чи виявлення, або вже були очищені/видалені."
+      },
+      "title": "Огляд деталей товару",
+      "desc": "Переглянути деталі товару"
+    },
+    "editSubLabel": {
+      "title": "Редагувати підмітку",
+      "desc": "Введіть нову підмітку для цього {{label}}",
+      "descNoLabel": "Введіть нову підмітку для цього відстежуваного об'єкта"
+    },
+    "snapshotScore": {
+      "label": "Оцінка моментального результату"
+    },
+    "topScore": {
+      "label": "Найкращий результат",
+      "info": "Найвищий бал – це найвищий середній бал для відстежуваного об’єкта, тому він може відрізнятися від балу, що відображається на мініатюрі результатів пошуку."
+    },
+    "timestamp": "Позначка часу",
+    "recognizedLicensePlate": "Розпізнаний номерний знак",
+    "zones": "Зони",
+    "description": {
+      "aiTips": "Фрегат не запитуватиме опис у вашого постачальника генеративного штучного інтелекту, доки не завершиться життєвий цикл відстежуваного об'єкта.",
+      "placeholder": "Опис відстежуваного об'єкта",
+      "label": "Опис"
+    },
+    "regenerateFromThumbnails": "Згенерувати з мініатюр",
+    "tips": {
+      "descriptionSaved": "Опис успішно збережено",
+      "saveDescriptionFailed": "Не вдалося оновити опис: {{errorMessage}}"
+    },
+    "objects": "Об'єкти",
+    "estimatedSpeed": "Орієнтовна швидкість",
+    "camera": "Камера",
+    "button": {
+      "findSimilar": "Знайти схожі",
+      "regenerate": {
+        "title": "Регенерувати",
+        "label": "Згенерувати опис відстежуваного об'єкта повторно"
+      }
+    },
+    "expandRegenerationMenu": "Розгорнути меню регенерації",
+    "regenerateFromSnapshot": "Відновити зі знімка"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Підтвердити видалення",
+      "desc": "Видалення цього відстежуваного об’єкта призведе до видалення знімка, будь-яких збережених вбудованих елементів та будь-яких пов’язаних записів життєвого циклу об’єкта. Записані кадри цього відстежуваного об’єкта в режимі перегляду історії <em>НЕ</em> будуть видалені.<br /><br />Ви впевнені, що хочете продовжити?"
+    }
+  },
+  "itemMenu": {
+    "findSimilar": {
+      "label": "Знайти схожі",
+      "aria": "Знайти схожі відстежувані об'єкти"
+    },
+    "viewInHistory": {
+      "label": "Переглянути в історії",
+      "aria": "Переглянути в історії"
+    },
+    "downloadVideo": {
+      "aria": "Завантажити Відео",
+      "label": "Завантажити Відео"
+    },
+    "submitToPlus": {
+      "aria": "Надіслати до Frigate Plus",
+      "label": "Надіслати до Frigate+"
+    },
+    "downloadSnapshot": {
+      "label": "Завантажити знімок",
+      "aria": "Завантажити знімок"
+    },
+    "viewObjectLifecycle": {
+      "label": "Переглянути життєвий цикл об'єкта",
+      "aria": "Показати життєвий цикл об'єкта"
+    },
+    "deleteTrackedObject": {
+      "label": "Видалити цей відстежуваний об'єкт"
+    }
+  },
+  "noTrackedObjects": "Відстежуваних об'єктів не знайдено",
+  "fetchingTrackedObjectsFailed": "Помилка отримання відстежуваних об'єктів: {{errorMessage}}",
+  "generativeAI": "Генеративний ШІ",
+  "trackedObjectDetails": "Деталі відстежуваного об'єкта",
+  "type": {
+    "details": "деталі",
+    "snapshot": "знімок",
+    "video": "відео",
+    "object_lifecycle": "життєвий цикл об'єкта"
+  },
+  "exploreMore": "Дослідіть більше об'єктів {{label}}"
+}
diff --git a/web/public/locales/uk/views/exports.json b/web/public/locales/uk/views/exports.json
new file mode 100644
index 000000000..55ee0e3e8
--- /dev/null
+++ b/web/public/locales/uk/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "Експорта - Frigate",
+  "search": "Пошук",
+  "noExports": "Не знайдено експортованих файлів",
+  "deleteExport": "Видалити експортування",
+  "deleteExport.desc": "Ви справді бажаєте вилучити {{exportName}}?",
+  "editExport": {
+    "title": "Перейменувати експорт",
+    "desc": "Введіть нову назву для цього експорту.",
+    "saveExport": "Зберегти експорт"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Не вдалося перейменувати експорт: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/uk/views/faceLibrary.json b/web/public/locales/uk/views/faceLibrary.json
new file mode 100644
index 000000000..34f420704
--- /dev/null
+++ b/web/public/locales/uk/views/faceLibrary.json
@@ -0,0 +1,102 @@
+{
+  "selectItem": "Вибрати {{item}}",
+  "documentTitle": "Бібліотека обличчя - Frigate",
+  "readTheDocs": "Прочитати документацію",
+  "deleteFaceLibrary": {
+    "desc": "Ви впевнені, що хочете видалити колекцію {{name}}? Це назавжди видалить усі пов’язані з нею обличчя.",
+    "title": "Видалити ім'я"
+  },
+  "toast": {
+    "error": {
+      "renameFaceFailed": "Не вдалося перейменувати обличчя: {{errorMessage}}",
+      "updateFaceScoreFailed": "Не вдалося оновити оцінку обличчя: {{errorMessage}}",
+      "deleteFaceFailed": "Не вдалося видалити: {{errorMessage}}",
+      "uploadingImageFailed": "Не вдалося завантажити зображення: {{errorMessage}}",
+      "addFaceLibraryFailed": "Не вдалося встановити ім'я обличчя: {{errorMessage}}",
+      "deleteNameFailed": "Не вдалося видалити ім'я: {{errorMessage}}",
+      "trainFailed": "Не вдалося тренуватися: {{errorMessage}}"
+    },
+    "success": {
+      "updatedFaceScore": "Оцінку обличчя успішно оновлено.",
+      "deletedName_one": "{{count}} Обличчя успішно видалено.",
+      "deletedName_few": "{{count}} Обличчі успішно видалено.",
+      "deletedName_many": "{{count}} Облич. успішно видалено.",
+      "uploadedImage": "Зображення успішно завантажено.",
+      "addFaceLibrary": "{{name}} успішно додано до Бібліотеки облич!",
+      "renamedFace": "Обличчя успішно перейменовано на {{name}}",
+      "trainedFace": "Успішно натреноване обличчя.",
+      "deletedFace_one": "Успішно видалено {{count}} обличчя.",
+      "deletedFace_few": "Успішно видалено {{count}} обличчі.",
+      "deletedFace_many": "Успішно видалено {{count}} облич."
+    }
+  },
+  "details": {
+    "scoreInfo": "Оцінка підмітки – це зважена оцінка для всіх розпізнаних ознак достовірності обличчя, тому вона може відрізнятися від оцінки, показаної на знімку.",
+    "subLabelScore": "Оцінка підмітки",
+    "person": "Людина",
+    "face": "Деталі обличчя",
+    "faceDesc": "Деталі відстежуваного об'єкта, який створив це обличчя",
+    "timestamp": "Позначка часу",
+    "unknown": "Невідомо"
+  },
+  "steps": {
+    "uploadFace": "Завантажити зображення обличчя",
+    "nextSteps": "Наступні кроки",
+    "faceName": "Введіть ім'я обличчя",
+    "description": {
+      "uploadFace": "Завантажте зображення обличчя {{name}}, на якому його/її обличчя зображено спереду. Зображення не потрібно обрізати, щоб воно мало лише обличчя."
+    }
+  },
+  "selectFace": "Виберіть обличчя",
+  "renameFace": {
+    "title": "Перейменувати обличчя",
+    "desc": "Введіть нову назву для {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Видалити обличчі",
+    "renameFace": "Перейменувати обличчя",
+    "uploadImage": "Завантажити зображення",
+    "deleteFace": "Видалити обличчя",
+    "reprocessFace": "Переобробка обличчя",
+    "addFace": "Додати обличчя"
+  },
+  "imageEntry": {
+    "maxSize": "Максимальний розмір: {{size}} МБ",
+    "validation": {
+      "selectImage": "Будь ласка, виберіть файл зображення."
+    },
+    "dropActive": "Скинь зображення сюди…",
+    "dropInstructions": "Перетягніть зображення сюди або клацніть, щоб вибрати"
+  },
+  "trainFaceAs": "Тренуйте обличчя як:",
+  "trainFace": "Обличчя поїзда",
+  "description": {
+    "addFace": "Покрокові інструкції з додавання нової колекції до Бібліотеки облич.",
+    "placeholder": "Введіть назву для цієї колекції",
+    "invalidName": "Недійсне ім'я. Ім'я може містити лише літери, цифри, пробіли, апострофи, символи підкреслення та дефіси."
+  },
+  "uploadFaceImage": {
+    "title": "Завантажити зображення обличчя",
+    "desc": "Завантажте зображення для сканування облич та додайте його для {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "Створити колекцію",
+    "desc": "Створити нову колекцію",
+    "new": "Створити нове обличчя",
+    "nextSteps": "Щоб створити міцну основу:<li>Використовуйте вкладку «Навчання», щоб вибрати та навчити зображення для кожної виявленої особи.</li><li>Для найкращих результатів зосередьтеся на зображеннях, спрямованих прямо в обличчя; уникайте навчальних зображень, які фіксують обличчя під кутом.</li></ul>"
+  },
+  "train": {
+    "title": "Поїзд",
+    "aria": "Виберіть поїзд",
+    "empty": "Немає останніх спроб розпізнавання обличчя"
+  },
+  "collections": "Колекції",
+  "deleteFaceAttempts": {
+    "title": "Видалити обличчі",
+    "desc_one": "Ви впевнені, що хочете видалити {{count}} обличчя? Цю дію неможливо скасувати.",
+    "desc_few": "Ви впевнені, що хочете видалити {{count}} обличчі? Цю дію неможливо скасувати.",
+    "desc_many": "Ви впевнені, що хочете видалити {{count}} облич? Цю дію неможливо скасувати."
+  },
+  "nofaces": "Немає облич",
+  "pixels": "{{area}}пикс"
+}
diff --git a/web/public/locales/uk/views/live.json b/web/public/locales/uk/views/live.json
new file mode 100644
index 000000000..27a8c518a
--- /dev/null
+++ b/web/public/locales/uk/views/live.json
@@ -0,0 +1,158 @@
+{
+  "manualRecording": {
+    "started": "Почав ручний запис на вимогу.",
+    "showStats": {
+      "desc": "Позначте цей пункт, щоб показувати статистику потоку як накладання на канал камери.",
+      "label": "Показати статистику"
+    },
+    "failedToEnd": "Не вдалося завершити запис вручну на вимогу.",
+    "playInBackground": {
+      "label": "Грати у фоновому режимі",
+      "desc": "Увімкніть цей параметр, щоб продовжувати потокове передавання, коли програвач приховано."
+    },
+    "tips": "Запустіть ручну подію на основі параметрів збереження запису цієї камери.",
+    "title": "Запис на вимогу",
+    "debugView": "Режим зневаджування",
+    "start": "Почати запис за запитом",
+    "failedToStart": "Не вдалося запустити ручний запис на вимогу.",
+    "end": "Завершення запису на вимогу",
+    "ended": "Запис на вимогу припинився.",
+    "recordDisabledTips": "Оскільки запис вимкнено або обмежено в конфігурації цієї камери, буде збережено лише знімок."
+  },
+  "snapshots": {
+    "enable": "Увімкнути знімки",
+    "disable": "Вимкнути знімки"
+  },
+  "stream": {
+    "twoWayTalk": {
+      "tips": "Ваш пристрій повинен підтримувати функцію, а WebRTC повинен бути налаштований для двосторонньої розмови.",
+      "tips.documentation": "Прочитати документацію ",
+      "available": "Двостороння розмова доступна для цього потоку",
+      "unavailable": "Двостороння розмова недоступна для цього потоку"
+    },
+    "playInBackground": {
+      "tips": "Увімкніть цей параметр, щоб продовжувати потокове передавання, коли програвач приховано.",
+      "label": "Грати у фоновому режимі"
+    },
+    "title": "Потiк",
+    "audio": {
+      "tips": {
+        "documentation": "Прочитати документацію ",
+        "title": "Звук повинен бути виведений з камери і налаштований в go2rtc для цього потоку."
+      },
+      "available": "Звук доступний для цього потоку",
+      "unavailable": "Аудіо недоступне для цього потоку"
+    },
+    "lowBandwidth": {
+      "resetStream": "Скинути потік",
+      "tips": "Режим перегляду в реальному часі перемикається в економічний режим через помилки буферизації або потоку."
+    }
+  },
+  "muteCameras": {
+    "disable": "Увімкнути звук на всі камери",
+    "enable": "Вимкнути всі камери"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Клацніть у кадрі, щоб відцентрувати камеру",
+        "enable": "Увімкнути клацання для переміщення",
+        "disable": "Вимкнути клацання для переміщення"
+      },
+      "up": {
+        "label": "Перемістити PTZ камеру вгору"
+      },
+      "left": {
+        "label": "Переміщення камери PTZ вліво"
+      },
+      "down": {
+        "label": "Переміщення PTZ камери вниз"
+      },
+      "right": {
+        "label": "Переміщення PTZ камери вправо"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Наближати PTZ камеру"
+      },
+      "out": {
+        "label": "Зменшити PTZ камеру"
+      }
+    },
+    "presets": "Попередни установки PTZ камери",
+    "frame": {
+      "center": {
+        "label": "Клацніть у кадрі, щоб відцентрувати камеру PTZ"
+      }
+    }
+  },
+  "editLayout": {
+    "exitEdit": "Вийти з редагування",
+    "label": "Редагувати макет",
+    "group": {
+      "label": "Редагувати групу камер"
+    }
+  },
+  "documentTitle": "Прямий трансляція - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Пряма трансляція - Frigate",
+  "lowBandwidthMode": "Економічний режим",
+  "twoWayTalk": {
+    "enable": "Увімкнути двосторонню розмову",
+    "disable": "Вимкнути двосторонню розмову"
+  },
+  "cameraAudio": {
+    "enable": "Увімкнути звук камери",
+    "disable": "Вимкнути звук камери"
+  },
+  "camera": {
+    "enable": "Увімкнути камеру",
+    "disable": "Вимкнути камеру"
+  },
+  "detect": {
+    "enable": "Увімкнути виявлення",
+    "disable": "Вимкнути виявлення"
+  },
+  "recording": {
+    "enable": "Увімкнути запис",
+    "disable": "Вимкнути запис"
+  },
+  "audioDetect": {
+    "enable": "Увімкнути виявлення звуку",
+    "disable": "Вимкнути виявлення звуку"
+  },
+  "autotracking": {
+    "disable": "Вимкнути автотрекінг",
+    "enable": "Увімкнути автотрекінг"
+  },
+  "streamStats": {
+    "enable": "Показати статистику потоку",
+    "disable": "Сховати статистику потоку"
+  },
+  "streamingSettings": "Параметри потокового передавання",
+  "notifications": "Повідомлення",
+  "audio": "Аудіо",
+  "suspend": {
+    "forTime": "Призупинити до: "
+  },
+  "cameraSettings": {
+    "title": "{{camera}} Налаштування",
+    "cameraEnabled": "Камера включена",
+    "objectDetection": "Виявлення об'єктів",
+    "recording": "Записування",
+    "snapshots": "Знімки",
+    "audioDetection": "Виявлення звуку",
+    "autotracking": "Автотрекiнг"
+  },
+  "history": {
+    "label": "Показати історичні кадри"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Всi",
+      "motion": "Рух",
+      "active_objects": "Активні об'єкти"
+    },
+    "notAllTips": "Ваш {{source}} конфігурацію збереження записів встановлено на <code>режим: {{effectiveRetainMode}}</code>, тому цей запис на вимогу збереже лише сегменти з {{effectiveRetainModeName}}."
+  }
+}
diff --git a/web/public/locales/uk/views/recording.json b/web/public/locales/uk/views/recording.json
new file mode 100644
index 000000000..a1ae10e01
--- /dev/null
+++ b/web/public/locales/uk/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Експорт",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Вибраний діапазон часу не є коректним",
+      "endTimeMustAfterStartTime": "Час закінчення повинен бути пізніше часу початку"
+    }
+  },
+  "calendar": "Календар",
+  "filter": "Фiльтр",
+  "filters": "Фiльтри"
+}
diff --git a/web/public/locales/uk/views/search.json b/web/public/locales/uk/views/search.json
new file mode 100644
index 000000000..0d8657e3d
--- /dev/null
+++ b/web/public/locales/uk/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Пошук",
+  "filter": {
+    "tips": {
+      "desc": {
+        "step1": "Введіть назву ключа фільтра, а потім двокрапку (наприклад, «камери:»).",
+        "step2": "Виберіть значення з пропозицій або введіть своє.",
+        "step3": "Використовуйте кілька фільтрів, додаючи їх один за одним з проміжком між ними.",
+        "step5": "Фільтр діапазону часу використовує формат {{exampleTime}}.",
+        "step6": "Видалити фільтри, натиснувши 'x' поруч з ними.",
+        "exampleLabel": "Наприклад:",
+        "step4": "Фільтри дат (до: і після:) використовують формат {{DateFormat}}.",
+        "text": "Фільтри допомагають звузити результати пошуку. Ось як використовувати їх у полі вводу:"
+      },
+      "title": "Як використовувати текстові фільтри"
+    },
+    "header": {
+      "currentFilterType": "Фільтрувати значення",
+      "activeFilters": "Активнi фiльтри",
+      "noFilters": "Фiлтри"
+    },
+    "label": {
+      "zones": "Зони",
+      "sub_labels": "Суб-меткi",
+      "search_type": "Тип пошуку",
+      "cameras": "Камери",
+      "labels": "Етикеткi",
+      "time_range": "Часовий діапазон",
+      "before": "Перед",
+      "after": "Пiсля",
+      "min_score": "Мінімальний бал",
+      "max_score": "Найвищий бал",
+      "min_speed": "Мінімальна швидкість",
+      "max_speed": "Максимальна швидкість",
+      "recognized_license_plate": "Розпізнаний номерний знак",
+      "has_clip": "Має клiп",
+      "has_snapshot": "Має знiмок"
+    },
+    "searchType": {
+      "thumbnail": "Мініатюра",
+      "description": "Опис"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Дата 'до' повинна бути пізнішою, ніж дата 'після'.",
+        "afterDatebeEarlierBefore": "Дата 'після' повинна бути раніше, ніж дата 'до'.",
+        "minScoreMustBeLessOrEqualMaxScore": "Значення 'min_score' має бути меншим або дорівнювати 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Значення 'max_score' має бути більшим або дорівнювати 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Значення 'min_speed' має бути меншим або дорівнювати 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Значення 'max_speed' має бути більшим або дорівнювати 'min_speed'."
+      }
+    }
+  },
+  "similaritySearch": {
+    "title": "Пошук подібності",
+    "active": "Активнi пошук подібності",
+    "clear": "Очистити пошук подібності"
+  },
+  "placeholder": {
+    "search": "Пошук…"
+  },
+  "button": {
+    "save": "Зберігати пошук",
+    "delete": "Видалити збережений пошук",
+    "filterInformation": "Фільтрувати інформацію",
+    "clear": "Очистити пошук",
+    "filterActive": "Активни фільтри"
+  },
+  "savedSearches": "Збережені пошуки",
+  "searchFor": "Пошук да {{inputValue}}",
+  "trackedObjectId": "Iдентифікатори об'єктів"
+}
diff --git a/web/public/locales/uk/views/settings.json b/web/public/locales/uk/views/settings.json
new file mode 100644
index 000000000..a5e7d511f
--- /dev/null
+++ b/web/public/locales/uk/views/settings.json
@@ -0,0 +1,686 @@
+{
+  "notification": {
+    "notificationSettings": {
+      "documentation": "Прочитати документацію",
+      "desc": "Frigate може надсилати push-сповіщення на ваш пристрій, коли він працює у браузері або встановлений як PWA.",
+      "title": "Налаштування сповіщень"
+    },
+    "notificationUnavailable": {
+      "desc": "Веб-повідомлення вимагають безпечного контексту (<code>https://…</code>). Це обмеження браузера. Безпечний доступ до фрегатів для використання сповіщень.",
+      "documentation": "Прочитати документацію",
+      "title": "Сповіщення недоступні"
+    },
+    "globalSettings": {
+      "desc": "Тимчасово призупинити сповіщення для певних камер на всіх зареєстрованих пристроях.",
+      "title": "Глобальні налаштування"
+    },
+    "email": {
+      "title": "Електронна пошта",
+      "placeholder": "наприклад example@email.com",
+      "desc": "Потрібна дійсна електронна адреса, яка буде використана для сповіщення вас про будь-які проблеми з push-сервісом."
+    },
+    "cameras": {
+      "title": "Камери",
+      "noCameras": "Немає доступних камер",
+      "desc": "Виберіть, для яких камер увімкнути сповіщення."
+    },
+    "suspendTime": {
+      "5minutes": "Призупинити на 5 хвилин",
+      "30minutes": "Призупинити на 30 хвилин",
+      "1hour": "Призупинити на 1 годину",
+      "12hours": "Призупинити на 12 годин",
+      "24hours": "Призупинити на 24 години",
+      "untilRestart": "Призупинити до перезапуску",
+      "10minutes": "Призупинити на 10 хвилин",
+      "suspend": "Призупинити"
+    },
+    "toast": {
+      "success": {
+        "registered": "Успішно зареєстровано для отримання сповіщень. Перед надсиланням будь-яких сповіщень (включно з тестовим сповіщенням) потрібен перезапуск Frigate.",
+        "settingSaved": "Налаштування сповіщень збережено."
+      },
+      "error": {
+        "registerFailed": "Не вдалося зберегти реєстрацію сповіщення."
+      }
+    },
+    "title": "Сповіщення",
+    "suspended": "Сповіщення призупинено {{time}}",
+    "deviceSpecific": "Налаштування, специфічні для пристрою",
+    "registerDevice": "Зареєструйте цей пристрій",
+    "unregisterDevice": "Скасувати реєстрацію цього пристрою",
+    "sendTestNotification": "Надіслати тестове сповіщення",
+    "active": "Активні сповіщення",
+    "cancelSuspension": "Скасувати призупинення",
+    "unsavedRegistrations": "Незбережені реєстрації сповіщень",
+    "unsavedChanges": "Незбережені зміни сповіщень"
+  },
+  "camera": {
+    "streams": {
+      "title": "Потоки",
+      "desc": "Тимчасово вимкніть камеру до перезавантаження Frigate. Вимкнення камери повністю зупиняє обробку потоків цієї камери Frigate. Виявлення, запис і налагодження будуть недоступні.<br /> <em>Примітка. Це не вимикає повторні потоки go2rtc.</em>"
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "Прочитати документацію",
+      "objectDetectionsTips": "Усі об’єкти {{detectionsLabels}}, які не класифіковані на {{cameraName}}, будуть відображатися як виявлені, незалежно від того, в якій зоні вони знаходяться.",
+      "zoneObjectDetectionsTips": {
+        "regardlessOfZoneObjectDetectionsTips": "Усі об’єкти {{detectionsLabels}}, які не класифіковані на {{cameraName}}, будуть відображатися як виявлені, незалежно від того, в якій зоні вони знаходяться.",
+        "text": "Усі об’єкти {{detectionsLabels}}, що не належать до категорії {{zone}} на {{cameraName}}, будуть відображатися як Виявлення.",
+        "notSelectDetections": "Усі об’єкти {{detectionsLabels}}, виявлені в {{zone}} на {{cameraName}}, які не віднесені до категорії «Сповіщення», будуть відображатися як Виявлення незалежно від того, в якій зоні вони знаходяться."
+      },
+      "objectAlertsTips": "Усі об’єкти {{alertsLabels}} на {{cameraName}} будуть відображатися як сповіщення.",
+      "toast": {
+        "success": "Конфігурацію класифікації перегляду збережено. Перезапустіть Frigate, щоб застосувати зміни."
+      },
+      "title": "Класифікація оглядів",
+      "desc": "Frigate класифікує елементи огляду як сповіщення та виявлення. За замовчуванням усі об’єкти <em>люди</em> та <em>автомобілі</em> вважаються сповіщеннями. Ви можете уточнити категоризацію елементів огляду, налаштувавши для них обов'язкові зони.",
+      "noDefinedZones": "Для цієї камери не визначено жодної зони.",
+      "selectDetectionsZones": "Виберіть зони для виявлення",
+      "limitDetections": "Обмеження виявлення певними зонами",
+      "zoneObjectAlertsTips": "Усі об’єкти {{alertsLabels}}, виявлені в {{zone}} на {{cameraName}}, будуть відображатися як сповіщення.",
+      "selectAlertsZones": "Виберіть зони для сповіщень",
+      "unsavedChanges": "Незбережені налаштування класифікації відгуків для {{camera}}"
+    },
+    "review": {
+      "alerts": "Сповіщення ",
+      "detections": "Виявлення ",
+      "title": "Огляд",
+      "desc": "Тимчасово ввімкнути/вимкнути сповіщення та виявлення для цієї камери до перезавантаження Frigate. Якщо вимкнено, нові елементи огляду не створюватимуться. "
+    },
+    "title": "Налаштування камери"
+  },
+  "masksAndZones": {
+    "motionMasks": {
+      "polygonAreaTooLarge": {
+        "documentation": "Прочитати документацію",
+        "tips": "Маски руху не запобігають виявленню об'єктів. Натомість слід використовувати обов'язкову зону.",
+        "title": "Маска руху покриває {{polygonArea}}% кадру камери. Великі маски руху не рекомендуються."
+      },
+      "context": {
+        "documentation": "Прочитати документацію",
+        "title": "Маски руху використовуються для запобігання виявлення небажаних типів руху (наприклад: гілки дерева, часові мітки камери). Слід використовувати маски руху<em>дуже економно</em>, надмірне маскування ускладнить відстеження об'єктів."
+      },
+      "clickDrawPolygon": "Клацніть, щоб намалювати багатокутник на зображенні.",
+      "add": "Нова маска руху",
+      "edit": "Редагувати маску руху",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} збережено. Перезапустіть Frigate, щоб застосувати зміни.",
+          "noName": "Маску руху збережено. Перезапустіть Frigate, щоб застосувати зміни."
+        }
+      },
+      "label": "Маска руху",
+      "documentTitle": "Редагувати маску руху – Фрегат",
+      "desc": {
+        "title": "Маски руху використовуються для запобігання спрацьовуванню виявлення небажаних типів руху. Надмірне маскування ускладнить відстеження об'єктів.",
+        "documentation": "Документація"
+      },
+      "point_one": "{{count}} бал",
+      "point_few": "{{count}} бали",
+      "point_many": "{{count}} балів"
+    },
+    "zones": {
+      "label": "Зони",
+      "name": {
+        "inputPlaceHolder": "Введіть назву…",
+        "title": "Ім'я",
+        "tips": "Назва має містити щонайменше 2 символи та не повинна бути назвою камери чи іншої зони."
+      },
+      "desc": {
+        "title": "Зони дозволяють визначити певну область кадру, щоб ви могли визначити, чи знаходиться об'єкт у певній області.",
+        "documentation": "Документація"
+      },
+      "allObjects": "Усі об'єкти",
+      "speedEstimation": {
+        "title": "Оцінка швидкості",
+        "desc": "Увімкнути оцінку швидкості для об'єктів у цій зоні. Зона повинна мати рівно 4 точки.",
+        "docs": "Прочитайте документацію",
+        "lineADistance": "Відстань лінії A ({{unit}})",
+        "lineBDistance": "Відстань лінії B ({{unit}})",
+        "lineCDistance": "Відстань лінії C ({{unit}})",
+        "lineDDistance": "Відстань лінії D ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Поріг швидкості ({{unit}})",
+        "desc": "Визначає мінімальну швидкість для об'єктів, які слід враховувати в цій зоні.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Оцінку швидкості для цієї зони вимкнено. Зони з оцінкою швидкості повинні мати рівно 4 бали.",
+            "loiteringTimeError": "Зони з часом байдикування більше 0 не слід використовувати з оцінкою швидкості."
+          }
+        }
+      },
+      "documentTitle": "Зона редагування – Фрегат",
+      "add": "Додати зону",
+      "edit": "Редагувати зону",
+      "point_one": "{{count}} бал",
+      "point_few": "{{count}} бали",
+      "point_many": "{{count}} балів",
+      "clickDrawPolygon": "Клацніть, щоб намалювати багатокутник на зображенні.",
+      "inertia": {
+        "title": "Інерція",
+        "desc": "Визначає, скільки кадрів об'єкт має перебувати в зоні, перш ніж його буде враховано в ній. <em>За замовчуванням: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Час тиняння",
+        "desc": "Встановлює мінімальний час у секундах, протягом якого об'єкт має перебувати в зоні для активації. <em>За замовчуванням: 0</em>"
+      },
+      "objects": {
+        "title": "Об'єкти",
+        "desc": "Список об'єктів, що належать до цієї зони."
+      },
+      "toast": {
+        "success": "Зону ({{zoneName}}) збережено. Перезапустіть Frigate, щоб застосувати зміни."
+      }
+    },
+    "objectMasks": {
+      "desc": {
+        "title": "Маски фільтрів об'єктів використовуються для фільтрації хибнопозитивних результатів для заданого типу об'єкта на основі його розташування.",
+        "documentation": "Документація"
+      },
+      "documentTitle": "Редагувати маску об'єкта - Фрегат",
+      "add": "Додати маску об'єкта",
+      "edit": "Редагувати маску об'єкта",
+      "context": "Маски фільтрів об'єктів використовуються для фільтрації хибнопозитивних результатів для заданого типу об'єкта на основі його розташування.",
+      "point_one": "{{count}} бал",
+      "point_few": "{{count}} бали",
+      "point_many": "{{count}} балів",
+      "clickDrawPolygon": "Клацніть, щоб намалювати багатокутник на зображенні.",
+      "objects": {
+        "title": "Об'єкти",
+        "desc": "Тип об'єкта, що застосовується до цієї маски об'єкта.",
+        "allObjectTypes": "Усі типи об'єктів"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} збережено. Перезапустіть Frigate, щоб застосувати зміни.",
+          "noName": "Маску об'єкта збережено. Перезапустіть Frigate, щоб застосувати зміни."
+        }
+      },
+      "label": "Маски об'єктів"
+    },
+    "restart_required": "Потрібно перезавантажити (маски/зони змінено)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "Координати для {{polyName}} скопійовано в буфер обміну."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Не вдалося скопіювати координати в буфер обміну."
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "alreadyExists": "Для цієї камери вже існує зона з такою назвою.",
+          "mustNotContainPeriod": "Назва зони не повинна містити крапок.",
+          "mustNotBeSameWithCamera": "Назва зони не повинна збігатися з назвою камери.",
+          "mustBeAtLeastTwoCharacters": "Назва зони має містити щонайменше 2 символи.",
+          "hasIllegalCharacter": "Назва зони містить недопустимі символи."
+        }
+      },
+      "polygonDrawing": {
+        "delete": {
+          "desc": "Ви впевнені, що хочете видалити {{type}} <em>{{name}}</em>?",
+          "title": "Підтвердити видалення",
+          "success": "{{name}} було видалено."
+        },
+        "removeLastPoint": "Видалити останню точку",
+        "reset": {
+          "label": "Очистити всі бали"
+        },
+        "snapPoints": {
+          "true": "Точки прив'язки",
+          "false": "Не зачіпайте точки"
+        },
+        "error": {
+          "mustBeFinished": "Малювання полігону має бути завершене перед збереженням."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Відстань має бути більшою або рівною 0,1.",
+          "mustBeFilled": "Для використання оцінки швидкості необхідно заповнити всі поля відстані."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Інерція повинна бути вище 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Час байдикування має бути більшим або рівним 0."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Поріг швидкості має бути більшим або рівним 0,1."
+        }
+      }
+    },
+    "filter": {
+      "all": "Усі маски та зони"
+    },
+    "motionMaskLabel": "Маска руху {{number}}",
+    "objectMaskLabel": "Маска об'єкта {{number}} ({{label}})"
+  },
+  "debug": {
+    "zones": {
+      "title": "Зони",
+      "desc": "Показати контур будь-яких визначених зон"
+    },
+    "objectShapeFilterDrawing": {
+      "document": "Прочитати документацію ",
+      "tips": "Увімкніть цю опцію, щоб намалювати прямокутник на зображенні з камери, щоб показати його площу та співвідношення. Ці значення потім можна використовувати для встановлення параметрів фільтра форми об'єкта у вашій конфігурації.",
+      "title": "Фільтр форми об'єкта, малюнок",
+      "desc": "Намалюйте прямокутник на зображенні, щоб переглянути деталі площі та співвідношення",
+      "score": "Рахунок",
+      "area": "Площа",
+      "ratio": "Співвідношення"
+    },
+    "regions": {
+      "tips": "<p><strong>Регіональні рамки</strong></p><br><p>Яскраво-зелені рамки будуть накладені на області інтересу в кадрі, які надсилаються на детектор об'єктів.</p>",
+      "desc": "Показати рамку області інтересу, що надсилається на детектор об'єктів",
+      "title": "Регіони"
+    },
+    "boundingBoxes": {
+      "colors": {
+        "info": "<li>Під час запуску кожній мітці об’єкта будуть призначені різні кольори</li><li>Темно-синя тонка лінія вказує на те, що об’єкт не виявлено в цей момент часу</li><li>Тонка сіра лінія вказує на те, що об’єкт виявлено як нерухомий</li><li>Товста лінія вказує на те, що об’єкт є об’єктом автоматичного відстеження (якщо його ввімкнено)</li>",
+        "label": "Кольори рамки обмежування об'єкта"
+      },
+      "title": "Обмежувальні рамки",
+      "desc": "Показувати обмежувальні рамки навколо відстежуваних об'єктів"
+    },
+    "title": "Налагодження",
+    "detectorDesc": "Фрегат використовує ваші детектори ({{detectors}}) для виявлення об'єктів у відеопотоці вашої камери.",
+    "desc": "У режимі налагодження відображається відстежувані об’єкти та їхня статистика в режимі реального часу. Список об’єктів показує зведену інформацію про виявлені об’єкти із затримкою в часі.",
+    "debugging": "Налагоджуємо",
+    "timestamp": {
+      "title": "Позначка часу",
+      "desc": "Накладання позначки часу на зображення"
+    },
+    "mask": {
+      "title": "Маски руху",
+      "desc": "Показати полігони маски руху"
+    },
+    "motion": {
+      "title": "Коробки руху",
+      "desc": "Показувати рамки навколо областей, де виявлено рух",
+      "tips": "<p><strong>Поля руху</strong></p><br><p>Червоні поля будуть накладені на області кадру, де наразі виявляється рух</p>"
+    },
+    "objectList": "Список об'єктів",
+    "noObjects": "Без об'єктів"
+  },
+  "classification": {
+    "licensePlateRecognition": {
+      "readTheDocumentation": "Прочитати документацію",
+      "title": "Розпізнавання номерних знаків",
+      "desc": "Фрегат може розпізнавати номерні знаки транспортних засобів та автоматично додавати виявлені символи до поля recognized_license_plate або відоме ім'я як sub_label до об'єктів типу автомобіль. Поширеним випадком використання може бути зчитування номерних знаків автомобілів, що заїжджають на під'їзну доріжку, або автомобілів, що проїжджають повз вулицю."
+    },
+    "faceRecognition": {
+      "readTheDocumentation": "Прочитати документацію",
+      "title": "Розпізнавання обличчя",
+      "desc": "Розпізнавання обличчя дозволяє присвоювати людям імена, і коли їхнє обличчя розпізнається, Frigate призначає ім'я людини як підмітку. Ця інформація міститься в інтерфейсі користувача, фільтрах, а також у сповіщеннях.",
+      "modelSize": {
+        "label": "Розмір моделі",
+        "desc": "Розмір моделі, що використовується для розпізнавання обличчя.",
+        "small": {
+          "title": "маленький",
+          "desc": "Використання <em>small</em> використовує модель вбудовування облич FaceNet, яка ефективно працює на більшості процесорів."
+        },
+        "large": {
+          "title": "великий",
+          "desc": "Використання параметра <em>large</em> використовує модель вбудовування облич ArcFace та автоматично запускатиметься на графічному процесорі, якщо це можливо."
+        }
+      }
+    },
+    "semanticSearch": {
+      "reindexNow": {
+        "alreadyInProgress": "Переіндексація вже триває.",
+        "error": "Не вдалося розпочати переіндексацію: {{errorMessage}}",
+        "confirmDesc": "Ви впевнені, що хочете переіндексувати всі вбудовані відстежувані об'єкти? Цей процес працюватиме у фоновому режимі, але може максимально навантажити ваш процесор і зайняти чимало часу. Ви можете спостерігати за прогресом на Ex.",
+        "confirmButton": "Переіндексувати",
+        "desc": "Переіндексація призведе до повторного створення вбудованих елементів для всіх відстежуваних об'єктів. Цей процес працює у фоновому режимі та може максимально навантажити ваш процесор і зайняти достатню кількість часу залежно від кількості відстежуваних об'єктів.",
+        "success": "Переіндексацію успішно розпочато.",
+        "label": "Переіндексувати зараз",
+        "confirmTitle": "Підтвердити переіндексацію"
+      },
+      "title": "Семантичний пошук",
+      "desc": "Семантичний пошук у Frigate дозволяє знаходити відстежувані об'єкти у ваших оглядах, використовуючи або саме зображення, або текстовий опис, визначений користувачем, або автоматично згенерований.",
+      "readTheDocumentation": "Прочитайте документацію",
+      "modelSize": {
+        "label": "Розмір моделі",
+        "desc": "Розмір моделі, що використовується для вбудовування семантичного пошуку.",
+        "small": {
+          "title": "маленький",
+          "desc": "Використання <em>малих</em> працівників квантована версія моделі, яка використовує менше оперативної пам'яті та працює швидше на процесорі з дуже незначною різницею в якості вбудовування."
+        },
+        "large": {
+          "title": "великий",
+          "desc": "Використання <em>large</em> використовує повну модель Jina та автоматично запускатиметься на графічному процесорі, якщо це можливо."
+        }
+      }
+    },
+    "restart_required": "Потрібно перезавантажити (налаштування класифікації змінено)",
+    "toast": {
+      "success": "Налаштування класифікації збережено. Перезапустіть Frigate, щоб застосувати зміни.",
+      "error": "Не вдалося зберегти зміни конфігурації: {{errorMessage}}"
+    },
+    "title": "Налаштування класифікації",
+    "birdClassification": {
+      "title": "Класифікація птахів",
+      "desc": "Класифікація птахів ідентифікує відомих птахів за допомогою квантованої моделі Tensorflow. Коли відомого птаха розпізнають, його загальна назва буде додана як sub_label. Ця інформація міститься в інтерфейсі користувача, фільтрах, а також у сповіщеннях."
+    },
+    "unsavedChanges": "Незбережені зміни налаштувань класифікації"
+  },
+  "frigatePlus": {
+    "modelInfo": {
+      "loading": "Завантаження інформації про модель…",
+      "loadingAvailableModels": "Завантаження доступних моделей…",
+      "plusModelType": {
+        "baseModel": "Базова модель",
+        "userModel": "Точно налаштований"
+      },
+      "supportedDetectors": "Підтримувані детектори",
+      "error": "Не вдалося завантажити інформацію про модель",
+      "availableModels": "Доступні моделі",
+      "trainDate": "Дата поїзда",
+      "baseModel": "Базова модель",
+      "modelSelect": "Тут можна вибрати доступні моделі на Frigate+. Зверніть увагу, що можна вибрати лише моделі, сумісні з вашою поточною конфігурацією детектора.",
+      "title": "Інформація про модель",
+      "modelType": "Тип моделі",
+      "cameras": "Камери"
+    },
+    "snapshotConfig": {
+      "title": "Конфігурація знімків",
+      "desc": "Для надсилання до Frigate+ потрібно ввімкнути як знімки, так і знімки <code>clean_copy</code> у вашій конфігурації.",
+      "documentation": "Прочитайте документацію",
+      "table": {
+        "camera": "Камера",
+        "snapshots": "Знімки",
+        "cleanCopySnapshots": "<code>clean_copy</code> Знімки"
+      },
+      "cleanCopyWarning": "На деяких камерах увімкнено знімки екрана, але вимкнено чисте копіювання. Щоб мати змогу надсилати зображення з цих камер до Frigate+, потрібно ввімкнути параметр <code>clean_copy</code> у конфігурації знімків екрана."
+    },
+    "apiKey": {
+      "desc": "Ключ API Frigate+ забезпечує інтеграцію з сервісом Frigate+.",
+      "notValidated": "Ключ API Frigate+ не виявлено або не перевірено",
+      "title": "Ключ API Фрегат+",
+      "validated": "Ключ API Frigate+ виявлено та перевірено",
+      "plusLink": "Дізнайтеся більше про Фрегат+"
+    },
+    "restart_required": "Потрібно перезавантаження (модель Frigate+ змінена)",
+    "toast": {
+      "success": "Налаштування Frigate+ збережено. Перезапустіть Frigate, щоб застосувати зміни.",
+      "error": "Не вдалося зберегти зміни конфігурації: {{errorMessage}}"
+    },
+    "title": "Налаштування Фрегат+",
+    "unsavedChanges": "Незбережені зміни налаштувань Frigate+"
+  },
+  "general": {
+    "calendar": {
+      "title": "Календар",
+      "firstWeekday": {
+        "label": "Перший день тижня",
+        "desc": "День, з якого починаються тижні календаря оглядів.",
+        "sunday": "Неділя",
+        "monday": "Понеділок"
+      }
+    },
+    "title": "Загальна налаштування",
+    "liveDashboard": {
+      "title": "Панель керування в прямому ефірі",
+      "automaticLiveView": {
+        "label": "Автоматичний перегляд у реальному часі",
+        "desc": "Автоматично перемикатися на режим реального часу з камери, коли виявляється активність. Якщо вимкнути цю опцію, статичні зображення з камери на панелі керування реальним часом оновлюватимуться лише раз на хвилину."
+      },
+      "playAlertVideos": {
+        "label": "Відтворити відео зі сповіщеннями",
+        "desc": "За замовчуванням останні сповіщення на панелі керування Live відтворюються як невеликі відеозаписи, що циклічно відтворюються. Вимкніть цю опцію, щоб відображати лише статичне зображення останніх сповіщень на цьому пристрої/у браузері."
+      }
+    },
+    "storedLayouts": {
+      "title": "Збережені макети",
+      "clearAll": "Очистити всі макети",
+      "desc": "Розташування камер у групі камер можна перетягувати/змінювати розмір. Позиції зберігаються в локальному сховищі вашого браузера."
+    },
+    "cameraGroupStreaming": {
+      "title": "Налаштування потокової передачі групи камер",
+      "desc": "Налаштування потокової передачі для кожної групи камер зберігаються в локальному сховищі вашого браузера.",
+      "clearAll": "Очистити всі налаштування потокового передавання"
+    },
+    "recordingsViewer": {
+      "title": "Переглядач записів",
+      "defaultPlaybackRate": {
+        "label": "Стандартна швидкість відтворення",
+        "desc": "Швидкість відтворення записів за замовчуванням."
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Очищено збережений макет для {{cameraName}}",
+        "clearStreamingSettings": "Очищено налаштування потокової передачі для всіх груп камер."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Не вдалося очистити збережений макет: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Не вдалося очистити налаштування потокового передавання: {{errorMessage}}"
+      }
+    }
+  },
+  "motionDetectionTuner": {
+    "improveContrast": {
+      "title": "Покращення контрастності",
+      "desc": "Покращення контрастності для темніших сцен. <em>За замовчуванням: УВІМК.</em>"
+    },
+    "desc": {
+      "documentation": "Прочитайте посібник з налаштування руху",
+      "title": "Фрегат використовує виявлення руху як першочергову перевірку, щоб побачити, чи відбувається щось у кадрі, що варто перевірити за допомогою виявлення об'єктів."
+    },
+    "title": "Тюнер виявлення руху",
+    "Threshold": {
+      "title": "Поріг",
+      "desc": "Порогове значення визначає, наскільки велика зміна яскравості пікселя має вважатися рухом. <em>За замовчуванням: 30</em>"
+    },
+    "toast": {
+      "success": "Налаштування руху збережено."
+    },
+    "contourArea": {
+      "title": "Площа контуру",
+      "desc": "Значення площі контуру використовується для визначення того, які групи змінених пікселів кваліфікуються як рух. <em>За замовчуванням: 10</em>"
+    },
+    "unsavedChanges": "Незбережені зміни в налаштуванні руху ({{camera}})"
+  },
+  "documentTitle": {
+    "object": "Налагодження – Фрегат",
+    "notifications": "Налаштування сповіщень – Фрегат",
+    "default": "Налаштування - Фрегат",
+    "authentication": "Налаштування автентифікації – Фрегат",
+    "camera": "Налаштування камери – Фрегат",
+    "classification": "Налаштування класифікації – Фрегат",
+    "masksAndZones": "Редактор масок та зон – Фрегат",
+    "motionTuner": "Тюнер руху - Фрегат",
+    "general": "Основна налаштування – Frigate",
+    "frigatePlus": "Налаштування Frigate+ – Frigate",
+    "enrichments": "Налаштуваннях збагачення – Frigate"
+  },
+  "menu": {
+    "ui": "Інтерфейс користувача",
+    "classification": "Класифікація",
+    "cameras": "Налаштування камери",
+    "users": "Користувачі",
+    "masksAndZones": "Маски / Зони",
+    "motionTuner": "Тюнер руху",
+    "debug": "Налагодження",
+    "notifications": "Сповіщення",
+    "frigateplus": "Frigate+",
+    "enrichments": "Збагачення"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "desc": "Ви хочете зберегти зміни, перш ніж продовжити?",
+      "title": "У вас є незбережені зміни."
+    }
+  },
+  "cameraSetting": {
+    "camera": "Камера",
+    "noCamera": "Без камери"
+  },
+  "users": {
+    "management": {
+      "title": "Керування користувачами",
+      "desc": "Керувати обліковими записами користувачів цього екземпляра Frigate."
+    },
+    "addUser": "Додати користувача",
+    "updatePassword": "Оновити пароль",
+    "toast": {
+      "success": {
+        "deleteUser": "Користувач {{user}} успішно видалений",
+        "roleUpdated": "Роль оновлено для {{user}}",
+        "updatePassword": "Пароль успішно оновлено.",
+        "createUser": "Користувач {{user}} успішно створено"
+      },
+      "error": {
+        "setPasswordFailed": "Не вдалося зберегти пароль: {{errorMessage}}",
+        "createUserFailed": "Не вдалося створити користувача: {{errorMessage}}",
+        "deleteUserFailed": "Не вдалося видалити користувача: {{errorMessage}}",
+        "roleUpdateFailed": "Не вдалося оновити роль: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "password": "Пароль",
+      "deleteUser": "Видалити користувача",
+      "username": "Ім'я користувача",
+      "actions": "Дії",
+      "noUsers": "Користувачів не знайдено.",
+      "role": "Роль",
+      "changeRole": "Змінити роль користувача"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Ім'я користувача",
+          "desc": "Дозволено використовувати лише літери, цифри, крапки та символи підкреслення.",
+          "placeholder": "Введіть ім'я користувача"
+        },
+        "password": {
+          "strength": {
+            "medium": "Середній",
+            "strong": "Сильний",
+            "veryStrong": "Дуже сильний",
+            "title": "Надійність пароля: ",
+            "weak": "Слабкий"
+          },
+          "match": "Паролі збігаються",
+          "title": "Пароль",
+          "notMatch": "Паролі не збігається",
+          "placeholder": "Введіть пароль",
+          "confirm": {
+            "title": "Підтвердьте пароль",
+            "placeholder": "Підтвердьте пароль"
+          }
+        },
+        "newPassword": {
+          "confirm": {
+            "placeholder": "Введіть новий пароль ще раз"
+          },
+          "title": "Новий пароль",
+          "placeholder": "Введіть новий пароль"
+        },
+        "usernameIsRequired": "Потрібне ім'я користувача",
+        "passwordIsRequired": "Потрібен пароль"
+      },
+      "changeRole": {
+        "roleInfo": {
+          "admin": "Адміністратор",
+          "intro": "Виберіть відповідну роль для цього користувача:",
+          "adminDesc": "Повний доступ до всіх функцій.",
+          "viewer": "Глядач",
+          "viewerDesc": "Обмежено лише активними інформаційними панелями, функціями «Огляд», «Дослідження» та «Експорт»."
+        },
+        "title": "Змінити роль користувача",
+        "desc": "Оновити дозволи для <strong>{{username}}</strong>",
+        "select": "Виберіть роль"
+      },
+      "createUser": {
+        "title": "Створити нового користувача",
+        "desc": "Додайте новий обліковий запис користувача та вкажіть роль для доступу до областей інтерфейсу Frigate.",
+        "usernameOnlyInclude": "Ім'я користувача може містити лише літери, цифри, . або _",
+        "confirmPassword": "Будь ласка, підтвердіть свій пароль"
+      },
+      "deleteUser": {
+        "title": "Видалити користувача",
+        "desc": "Цю дію не можна скасувати. Це призведе до остаточного видалення облікового запису користувача та всіх пов’язаних з ним даних.",
+        "warn": "Ви впевнені, що хочете видалити <strong>{{username}}</strong>?"
+      },
+      "passwordSetting": {
+        "updatePassword": "Оновити пароль для {{username}}",
+        "setPassword": "Встановити пароль",
+        "desc": "Створіть надійний пароль для захисту цього облікового запису.",
+        "cannotBeEmpty": "Пароль не може бути порожнім",
+        "doNotMatch": "Паролі не збігаються"
+      }
+    },
+    "title": "Користувачі"
+  },
+  "enrichments": {
+    "unsavedChanges": "Зміни в налаштуваннях незбережених збагачень",
+    "semanticSearch": {
+      "title": "Семантичний пошук",
+      "desc": "Семантичний пошук у Frigate дозволяє знаходити відстежувані об'єкти в елементах огляду, використовуючи або саме зображення, або текстовий опис, визначений користувачем, або автоматично згенерований опис.",
+      "readTheDocumentation": "Прочитайте документації",
+      "reindexNow": {
+        "label": "Переіндексувати зараз",
+        "confirmTitle": "Підтвердити переіндексацію",
+        "error": "Не вдалося розпочати переіндексацію: {{errorMessage}}",
+        "confirmDesc": "Ви впевнені, що хочете переіндексувати всі вбудовані відстежувані об'єкти? Цей процес працюватиме у фоновому режимі, але може максимально навантажити ваш процесор і зайняти чимало часу. Ви можете спостерігати за прогресом на Ex.",
+        "confirmButton": "Переіндексувати",
+        "alreadyInProgress": "Переіндексація вже триває.",
+        "success": "Переіндексацію успішно розпочато.",
+        "desc": "Переіндексація відновить вбудовування для всіх відстежуваних об'єктів. Цей процес працює у фоновому режимі та може максимально навантажувати ваш процесор і займати достатню кількість часу залежно від кількості відстежуваних об'єктів."
+      },
+      "modelSize": {
+        "label": "Розмір моделі",
+        "desc": "Розмір моделі, що використовується для вбудовування семантичного пошуку.",
+        "small": {
+          "title": "маленький",
+          "desc": "Використання <em>small</em> застосовує квантовану версію моделі, яка використовує менше оперативної пам'яті та працює швидше на процесорі з дуже незначною різницею в якості вбудовування."
+        },
+        "large": {
+          "title": "великий",
+          "desc": "Використання <em>large</em> використовує повну модель Jina та автоматично запускатиметься на графічному процесорі, якщо це можливо."
+        }
+      }
+    },
+    "faceRecognition": {
+      "title": "Розпізнавання обличчя",
+      "readTheDocumentation": "Прочитайте документація",
+      "modelSize": {
+        "label": "Розмір моделі",
+        "desc": "Розмір моделі, що використовується для розпізнавання обличчя.",
+        "small": {
+          "title": "маленький",
+          "desc": "Використання <em>small</em> використовує модель вбудовування облич FaceNet, яка ефективно працює на більшості процесорів."
+        },
+        "large": {
+          "title": "великий",
+          "desc": "Використання параметра <em>large</em> використовує модель вбудовування облич ArcFace та автоматично запускатиметься на графічному процесорі, якщо це можливо."
+        }
+      },
+      "desc": "Розпізнавання облич дозволяє присвоювати людям імена, і коли обличчя розпізнається, Frigate додає ім'я людини в якості підмітки. Ця інформація відображається в інтерфейсі, фільтрах, а також у сповіщеннях."
+    },
+    "licensePlateRecognition": {
+      "title": "Розпізнавання номерних знаків",
+      "readTheDocumentation": "Прочитайте документації",
+      "desc": "Frigate може розпізнавати номерні знаки на автомобілях і автоматично додавати виявлені символи до поля розпізнаний_номер_автомобіля або відоме ім'я як підмітку до об'єктів, що мають тип \"автомобіль\". Поширеним випадком використання може бути зчитування номерних знаків автомобілів, що заїжджають на під'їзд, або автомобілів, що проїжджають вулицею."
+    },
+    "restart_required": "Потрібно перезавантажити (налаштування збагачення змінено)",
+    "toast": {
+      "success": "Налаштування збагачення збережено. Перезапустіть Frigate, щоб застосувати зміни.",
+      "error": "Не вдалося зберегти зміни конфігурації: {{errorMessage}}"
+    },
+    "birdClassification": {
+      "desc": "Класифікація птахів ідентифікує відомих птахів за допомогою квантованої моделі тензорного потоку. Коли відомого птаха розпізнано, його загальну назву буде додано як підмітку. Ця інформація відображається в інтерфейсі, фільтрах, а також у сповіщеннях.",
+      "title": "Класифікація птахів"
+    },
+    "title": "Налаштуваннях збагачення"
+  }
+}
diff --git a/web/public/locales/uk/views/system.json b/web/public/locales/uk/views/system.json
new file mode 100644
index 000000000..b1472f7a7
--- /dev/null
+++ b/web/public/locales/uk/views/system.json
@@ -0,0 +1,180 @@
+{
+  "cameras": {
+    "label": {
+      "ffmpeg": "FFmpeg'",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} пропущених виявлень на секунду",
+      "cameraDetect": "{{camName}} виявлення",
+      "cameraFfmpeg": "{{camName}} FFmpeg'",
+      "overallDetectionsPerSecond": "загальна кiлькiсть виявлень за секунду",
+      "cameraDetectionsPerSecond": "{{camName}} виявлень на секунду",
+      "overallFramesPerSecond": "загальна кiлкiсть кадрiв на секунду",
+      "overallSkippedDetectionsPerSecond": "загальна кiлкiсть пропущених виявлень за секунду",
+      "cameraCapture": "{{camName}} захоплення",
+      "cameraFramesPerSecond": "{{camName}} кадрiв на секунду",
+      "skipped": "пропущено",
+      "capture": "захоплення",
+      "camera": "камера",
+      "detect": "виявити"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Тестові дані копіюються в буфер обміну."
+      },
+      "error": {
+        "unableToProbeCamera": "Не вдалося дослідити камеру: {{errorMessage}}"
+      }
+    },
+    "title": "Камери",
+    "info": {
+      "fetching": "Отримання даних з камери",
+      "cameraProbeInfo": "{{camera}} Інформація про зонд камери",
+      "streamDataFromFFPROBE": "Дані потоку отримуються за допомогою <code>ffprobe</code>.",
+      "stream": "Потік {{idx}}",
+      "video": "Відео:",
+      "codec": "Кодек:",
+      "resolution": "Роздільна здатність:",
+      "fps": "FPS:",
+      "unknown": "Невідомо",
+      "audio": "Аудіо:",
+      "error": "Помилка: {{error}}",
+      "tips": {
+        "title": "Інформація про зонд камери"
+      },
+      "aspectRatio": "співвідношення сторін"
+    },
+    "overview": "Огляд",
+    "framesAndDetections": "Кадри / Виявлення"
+  },
+  "enrichments": {
+    "embeddings": {
+      "plate_recognition": "Розпiзнавання номерiв",
+      "image_embedding_speed": "Швидкість вбудовування зображень",
+      "face_embedding_speed": "Швидкість вбудовування облич",
+      "face_recognition_speed": "Швидкість розпізнавання обличчя",
+      "plate_recognition_speed": "Швидкість розпізнавання номерних знаків",
+      "text_embedding_speed": "Швидкість вбудовування тексту",
+      "image_embedding": "Вбудовування зображень",
+      "text_embedding": "Вбудовування тексту",
+      "face_recognition": "Розпізнавання обличчя",
+      "yolov9_plate_detection_speed": "Швидкість виявлення номерних знаків YOLOv9",
+      "yolov9_plate_detection": "Виявлення пластин YOLOv9"
+    },
+    "title": "Збагаченням",
+    "infPerSecond": "Висновки за секунду"
+  },
+  "general": {
+    "title": "Загальна",
+    "hardwareInfo": {
+      "npuUsage": "Використання нейронного процесора",
+      "npuMemory": "Пам'ять NPU",
+      "title": "Інформація про обладнання",
+      "gpuUsage": "Використання графічного процесора",
+      "gpuMemory": "Пам'ять графічного процесора",
+      "gpuEncoder": "GPU-кодер",
+      "gpuDecoder": "Декодер графічного процесора",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Вихід Vainfo",
+          "returnCode": "Код повернення: {{code}}",
+          "processOutput": "Вихід процесу:",
+          "processError": "Помилка процесу:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Вихід Nvidia SMI",
+          "name": "Ім'я: {{name}}",
+          "driver": "Водій: {{driver}}",
+          "cudaComputerCapability": "Можливості обчислень CUDA: {{cuda_compute}}",
+          "vbios": "Інформація про VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Закрити інформацію про графічний процесор"
+        },
+        "copyInfo": {
+          "label": "Копіювати інформацію про графічний процесор"
+        },
+        "toast": {
+          "success": "Інформацію про графічний процесор скопійовано в буфер обміну"
+        }
+      }
+    },
+    "otherProcesses": {
+      "processMemoryUsage": "Використання пам'яті процесу",
+      "processCpuUsage": "Використання процесора процесу",
+      "title": "Інші процеси"
+    },
+    "detector": {
+      "temperature": "Температура детектора",
+      "title": "Детектори",
+      "inferenceSpeed": "Швидкість виведення детектора",
+      "cpuUsage": "Використання процесора детектора",
+      "memoryUsage": "Використання пам'яті детектора"
+    }
+  },
+  "storage": {
+    "cameraStorage": {
+      "unused": {
+        "tips": "Це значення може неточно відображати обсяг вільного простору, доступного для Frigate, якщо на вашому диску зберігаються інші файли, окрім записів Frigate. Frigate не відстежує використання пам’яті поза ним.",
+        "title": "Невикористаний"
+      },
+      "title": "Зберігання камери",
+      "storageUsed": "Зберігання",
+      "camera": "Камера",
+      "unusedStorageInformation": "Інформація про невикористане сховище",
+      "percentageOfTotalUsed": "Відсоток від загальної кількості",
+      "bandwidth": "Пропускна здатність"
+    },
+    "overview": "Огляд",
+    "recordings": {
+      "title": "Записи",
+      "tips": "Це значення відображає загальний обсяг пам’яті, що використовується записами в базі даних Frigate. Frigate не відстежує використання пам’яті для всіх файлів на вашому диску.",
+      "earliestRecording": "Найдавніший доступний запис:"
+    },
+    "title": "Зберігання"
+  },
+  "lastRefreshed": "Останнє оновлення: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} має високе використання процесора FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} має високе використання процесора для виявлення ({{detectAvg}}%)",
+    "healthy": "Система справна",
+    "reindexingEmbeddings": "Переіндексація вбудовування (виконано {{processed}}%)",
+    "cameraIsOffline": "{{camera}} не в мережі",
+    "detectIsSlow": "{{detect}} повільний ({{speed}} мс)",
+    "detectIsVerySlow": "{{detect}} дуже повільний ({{speed}} мс)"
+  },
+  "documentTitle": {
+    "cameras": "Статистика камер - Фрегат",
+    "storage": "Статистика сховища - Фрегат",
+    "general": "Загальна статистика - Frigate",
+    "enrichments": "Статистика збагачені - Фрегат",
+    "logs": {
+      "frigate": "Фрегатні журнали - Фрегат",
+      "go2rtc": "Журнали Go2RTC - Фрегат",
+      "nginx": "Журнали Nginx - Фрегат"
+    }
+  },
+  "title": "Система",
+  "metrics": "Системні показники",
+  "logs": {
+    "download": {
+      "label": "Завантажити журнали"
+    },
+    "copy": {
+      "label": "Копіювати в буфер обміну",
+      "success": "Скопійовано журнали в буфер обміну",
+      "error": "Не вдалося скопіювати журнали в буфер обміну"
+    },
+    "type": {
+      "label": "Тип",
+      "timestamp": "Позначка часу",
+      "tag": "Тег",
+      "message": "Повідомлення"
+    },
+    "tips": "Журнали передаються потоком із сервера",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Помилка отримання журналів: {{errorMessage}}",
+        "whileStreamingLogs": "Помилка під час потокової передачі журналів: {{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ur/audio.json b/web/public/locales/ur/audio.json
new file mode 100644
index 000000000..b6b532255
--- /dev/null
+++ b/web/public/locales/ur/audio.json
@@ -0,0 +1,38 @@
+{
+  "wheeze": "گھرگھراہٹ",
+  "snoring": "خراٹے",
+  "cough": "کھانسی",
+  "singing": "گانا",
+  "throat_clearing": "گلا صاف کرنا",
+  "sneeze": "چھینک",
+  "sniff": "سونگھنا",
+  "run": "دوڑو",
+  "applause": "تالیاں",
+  "chatter": "چہچہانا",
+  "crowd": "بھیڑ",
+  "animal": "جانور",
+  "children_playing": "بچے کھیل رہے ہیں",
+  "howl": "چیخنا",
+  "growling": "کراہنے والا",
+  "dog": "کتا",
+  "cat": "بلی",
+  "pets": "پالتو جانور",
+  "whimper_dog": "کتے کی آواز",
+  "bark": "بھونکنا",
+  "meow": "میانو",
+  "speech": "تقریر",
+  "babbling": "بڑبڑانا",
+  "yell": "چیخنا",
+  "bellow": "دَہاڑ",
+  "whoop": "اففف",
+  "whispering": "سرگوشی",
+  "laughter": "ہنسی",
+  "snicker": "منہ دبا کر ہنسنا",
+  "car": "گاڑی",
+  "bus": "بس",
+  "motorcycle": "موٹر سائیکل",
+  "train": "ٹرین",
+  "bicycle": "سائیکل",
+  "crying": "رونا",
+  "sigh": "آہیں"
+}
diff --git a/web/public/locales/ur/common.json b/web/public/locales/ur/common.json
new file mode 100644
index 000000000..dbf35b3b6
--- /dev/null
+++ b/web/public/locales/ur/common.json
@@ -0,0 +1,38 @@
+{
+  "time": {
+    "untilForTime": "{{time}} تک",
+    "untilForRestart": "فریگیٹ کے دوبارہ شروع ہونے تک۔",
+    "untilRestart": "دوبارہ شروع ہونے تک",
+    "ago": "{{timeAgo}} پہلے",
+    "justNow": "ابھی ابھی",
+    "today": "آج",
+    "yesterday": "کل",
+    "last7": "پچھلے 7 دن",
+    "last14": "آخری 14 دن",
+    "last30": "آخری 30 دن",
+    "thisWeek": "اس ہفتے",
+    "lastWeek": "گزشتہ ہفتے",
+    "thisMonth": "اس مہینے",
+    "lastMonth": "پچھلے مہینے",
+    "5minutes": "5 منٹ",
+    "10minutes": "10 منٹ",
+    "30minutes": "30 منٹ",
+    "1hour": "1 گھنٹہ",
+    "12hours": "12 گھنٹے",
+    "24hours": "24 گھنٹے",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}سال",
+    "mo": "{{time}} مہینہ",
+    "d": "{{time}} دن",
+    "h": "{{time}} گھنٹہ",
+    "year_one": "{{time}} سال",
+    "year_other": "{{time}} سال",
+    "day_one": "{{time}} دن",
+    "day_other": "{{time}} دن",
+    "month_one": "{{time}} مہینہ",
+    "month_other": "{{time}} مہینے",
+    "hour_one": "{{time}} گھنٹہ",
+    "hour_other": "{{time}} گھنٹے"
+  }
+}
diff --git a/web/public/locales/ur/components/auth.json b/web/public/locales/ur/components/auth.json
new file mode 100644
index 000000000..e7625b65c
--- /dev/null
+++ b/web/public/locales/ur/components/auth.json
@@ -0,0 +1,14 @@
+{
+  "form": {
+    "user": "صارف نام",
+    "password": "پاسورڈ",
+    "login": "لاگ ان",
+    "errors": {
+      "usernameRequired": "صارف نام درکار ہے",
+      "passwordRequired": "پاس ورڈ درکار ہے",
+      "rateLimit": "شرح کی حد سے تجاوز کر گیا۔ بعد میں دوبارہ کوشش کریں۔",
+      "loginFailed": "لاگ ان ناکام ہو گیا",
+      "unknownError": "نامعلوم خرابی۔ لاگز چیک کریں۔"
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/camera.json b/web/public/locales/ur/components/camera.json
new file mode 100644
index 000000000..900341ecc
--- /dev/null
+++ b/web/public/locales/ur/components/camera.json
@@ -0,0 +1,17 @@
+{
+  "group": {
+    "delete": {
+      "confirm": {
+        "desc": "کیا آپ واقعی کیمرہ گروپ <em>{{name}}</em> کو حذف کرنا چاہتے ہیں؟",
+        "title": "حذف کی تصدیق کریں"
+      },
+      "label": "کیمرہ گروپ کو حذف کریں"
+    },
+    "label": "کیمرہ گروپس",
+    "add": "کیمرہ گروپ شامل کریں",
+    "edit": "کیمرہ گروپ میں ترمیم کریں",
+    "name": {
+      "label": "نام"
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/dialog.json b/web/public/locales/ur/components/dialog.json
new file mode 100644
index 000000000..6367cafad
--- /dev/null
+++ b/web/public/locales/ur/components/dialog.json
@@ -0,0 +1,24 @@
+{
+  "restart": {
+    "title": "کیا آپ واقعی Frigate کو دوبارہ شروع کرنا چاہتے ہیں؟",
+    "button": "دوبارہ شروع کریں",
+    "restarting": {
+      "title": "فریگیٹ دوبارہ شروع ہو رہا ہے",
+      "content": "یہ صفحہ {{countdown}} سیکنڈ میں دوبارہ لوڈ ہو جائے گا۔",
+      "button": "ابھی دوبارہ لوڈ کرنے پر مجبور کریں"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "فریگیٹ+ کو جمع کروائیں",
+        "desc": "ایسے مقامات میں موجود آبجیکٹس جن سے آپ بچنا چاہتے ہیں، جھوٹے مثبت نہیں ہوتے۔ انہیں جھوٹے مثبت کے طور پر جمع کروانے سے ماڈل کنفیوز ہو جائے گا۔"
+      },
+      "review": {
+        "question": {
+          "label": "فریگیٹ پلس کے لیے اس لیبل کی تصدیق کریں"
+        }
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/filter.json b/web/public/locales/ur/components/filter.json
new file mode 100644
index 000000000..45cd366f2
--- /dev/null
+++ b/web/public/locales/ur/components/filter.json
@@ -0,0 +1,18 @@
+{
+  "filter": "فلٹر",
+  "labels": {
+    "label": "لیبلز",
+    "all": {
+      "title": "تمام لیبلز",
+      "short": "لیبلز"
+    },
+    "count_one": "{{count}} لیبل",
+    "count_other": "{{count}} لیبلز"
+  },
+  "zones": {
+    "label": "زونز",
+    "all": {
+      "title": "تمام زونز"
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/icons.json b/web/public/locales/ur/components/icons.json
new file mode 100644
index 000000000..8c2d81684
--- /dev/null
+++ b/web/public/locales/ur/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "آئیکن منتخب کریں",
+    "search": {
+      "placeholder": "آئیکن تلاش کریں…"
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/input.json b/web/public/locales/ur/components/input.json
new file mode 100644
index 000000000..8b71c9b2c
--- /dev/null
+++ b/web/public/locales/ur/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "ویڈیو ڈاؤن لوڈ کریں",
+      "toast": {
+        "success": "آپ کی جائزے کی ویڈیو ڈاؤن لوڈ ہونا شروع ہو گئی ہے۔"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/ur/components/player.json b/web/public/locales/ur/components/player.json
new file mode 100644
index 000000000..b66f9703c
--- /dev/null
+++ b/web/public/locales/ur/components/player.json
@@ -0,0 +1,13 @@
+{
+  "noRecordingsFoundForThisTime": "اس وقت کے لیے کوئی ریکارڈنگ نہیں ملی",
+  "noPreviewFound": "کوئی پیش نظارہ نہیں ملا",
+  "noPreviewFoundFor": "{{cameraName}} کے لیے کوئی پیش نظارہ نہیں ملا",
+  "submitFrigatePlus": {
+    "title": "اس فریم کو فریگیٹ+ میں جمع کرائیں؟",
+    "submit": "جمع کروائیں"
+  },
+  "livePlayerRequiredIOSVersion": "اس لائیو اسٹریم کی قسم کے لیے iOS 17.1 یا اس سے جدید ورژن درکار ہے۔",
+  "streamOffline": {
+    "title": "آف لائن اسٹریم"
+  }
+}
diff --git a/web/public/locales/ur/objects.json b/web/public/locales/ur/objects.json
new file mode 100644
index 000000000..88a44f18c
--- /dev/null
+++ b/web/public/locales/ur/objects.json
@@ -0,0 +1,9 @@
+{
+  "person": "شخص",
+  "bicycle": "سائیکل",
+  "car": "گاڑی",
+  "motorcycle": "موٹر سائیکل",
+  "airplane": "ہوائی جہاز",
+  "bus": "بس",
+  "train": "ٹرین"
+}
diff --git a/web/public/locales/ur/views/configEditor.json b/web/public/locales/ur/views/configEditor.json
new file mode 100644
index 000000000..e32955e7e
--- /dev/null
+++ b/web/public/locales/ur/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "toast": {
+    "error": {
+      "savingError": "کنفیگریشن محفوظ کرنے میں خرابی"
+    },
+    "success": {
+      "copyToClipboard": "کنفیگ کلپ بورڈ پر کاپی ہو گیا۔"
+    }
+  },
+  "documentTitle": "کنفیگریشن ایڈیٹر - Frigate",
+  "configEditor": "کنفیگریشن ایڈیٹر",
+  "copyConfig": "کنفیگریشن نقل کریں",
+  "saveAndRestart": "محفوظ کریں اور دوبارہ شروع کریں",
+  "saveOnly": "صرف محفوظ کریں",
+  "confirm": "محفوظ کیے بغیر باہر نکلیں؟"
+}
diff --git a/web/public/locales/ur/views/events.json b/web/public/locales/ur/views/events.json
new file mode 100644
index 000000000..517d7dd4c
--- /dev/null
+++ b/web/public/locales/ur/views/events.json
@@ -0,0 +1,14 @@
+{
+  "alerts": "انتباہات",
+  "detections": "کھوج",
+  "motion": {
+    "label": "حرکت",
+    "only": "صرف حرکت"
+  },
+  "allCameras": "تمام کیمرے",
+  "empty": {
+    "alert": "جائزہ لینے کے لیے کوئی انتباہات نہیں ہیں",
+    "detection": "جائزہ لینے کے لیے کوئی ڈیٹیکشن موجود نہیں ہے",
+    "motion": "کوئی موشن ڈیٹا نہیں ملا"
+  }
+}
diff --git a/web/public/locales/ur/views/explore.json b/web/public/locales/ur/views/explore.json
new file mode 100644
index 000000000..2657e801e
--- /dev/null
+++ b/web/public/locales/ur/views/explore.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "جائزہ لیں - فریگیٹ",
+  "generativeAI": "جنریٹو اے آئی",
+  "exploreIsUnavailable": {
+    "title": "جائزہ لینا دستیاب نہیں ہے",
+    "embeddingsReindexing": {
+      "context": "جب ٹریک کیے گئے آبجیکٹ ایمبیڈنگز کی دوبارہ انڈیکسنگ مکمل ہو جائےتو \"جائزہ لیں\" استعمال کیا جا سکتا ہے۔",
+      "startingUp": "شروع ہو رہا ہے…",
+      "estimatedTime": "متوقع باقی وقت:"
+    }
+  },
+  "exploreMore": "مزید {{label}} اشیاء کو دریافت کریں"
+}
diff --git a/web/public/locales/ur/views/exports.json b/web/public/locales/ur/views/exports.json
new file mode 100644
index 000000000..395ee163b
--- /dev/null
+++ b/web/public/locales/ur/views/exports.json
@@ -0,0 +1,11 @@
+{
+  "documentTitle": "برآمد - فریگیٹ",
+  "search": "تلاش",
+  "noExports": "کوئی برآمدات نہیں ملے",
+  "deleteExport": "برآمد کو حذف کریں",
+  "deleteExport.desc": "کیا آپ واقعی {{exportName}} کو حذف کرنا چاہتے ہیں؟",
+  "editExport": {
+    "title": "برآمد کا نام تبدیل کریں",
+    "desc": "اس برآمد کے لیے ایک نیا نام درج کریں۔"
+  }
+}
diff --git a/web/public/locales/ur/views/faceLibrary.json b/web/public/locales/ur/views/faceLibrary.json
new file mode 100644
index 000000000..cfb7dce62
--- /dev/null
+++ b/web/public/locales/ur/views/faceLibrary.json
@@ -0,0 +1,13 @@
+{
+  "description": {
+    "addFace": "فیس لائبریری میں نئی کلیکشن شامل کرنے کا طریقہ بتائیں۔",
+    "placeholder": "اس مجموعہ کے لیے ایک نام درج کریں",
+    "invalidName": "غلط نام۔ ناموں میں صرف حروف، اعداد، فاصلے، اپوسٹروف، انڈر اسکور، اور ہائفن شامل ہو سکتے ہیں۔"
+  },
+  "details": {
+    "face": "چہرے کی تفصیلات",
+    "person": "شخص",
+    "subLabelScore": "سب لیبل سکور",
+    "scoreInfo": "سب لیبل سکور تمام تسلیم شدہ چہرے کے اعتماد کے لیے وزنی سکور ہے، اس لیے یہ سنیپ شاٹ پر دکھائے گئے سکور سے مختلف ہو سکتا ہے۔"
+  }
+}
diff --git a/web/public/locales/ur/views/live.json b/web/public/locales/ur/views/live.json
new file mode 100644
index 000000000..cace61173
--- /dev/null
+++ b/web/public/locales/ur/views/live.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "لائیو - فریگیٹ",
+  "documentTitle.withCamera": "{{camera}} -براہِ راست - فریگیٹ",
+  "lowBandwidthMode": "کم بینڈوتھ موڈ",
+  "twoWayTalk": {
+    "enable": "دو طرفہ گفتگو کو فعال کریں",
+    "disable": "دو طرفہ گفتگو کو غیر فعال کریں"
+  },
+  "cameraAudio": {
+    "enable": "کیمرہ آڈیو فعال کریں",
+    "disable": "کیمرہ آڈیو کو غیر فعال کریں"
+  }
+}
diff --git a/web/public/locales/ur/views/recording.json b/web/public/locales/ur/views/recording.json
new file mode 100644
index 000000000..5ec347455
--- /dev/null
+++ b/web/public/locales/ur/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "فلٹر",
+  "export": "برآمد",
+  "calendar": "کیلنڈر",
+  "filters": "فلٹرز",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "درست وقت کی حد منتخب نہیں کی گئی",
+      "endTimeMustAfterStartTime": "اختتامی وقت آغاز کے وقت کے بعد ہونا چاہیے"
+    }
+  }
+}
diff --git a/web/public/locales/ur/views/search.json b/web/public/locales/ur/views/search.json
new file mode 100644
index 000000000..5e73fa462
--- /dev/null
+++ b/web/public/locales/ur/views/search.json
@@ -0,0 +1,11 @@
+{
+  "search": "تلاش",
+  "savedSearches": "محفوظ شدہ تلاشیں",
+  "searchFor": "{{inputValue}} تلاش کریں",
+  "button": {
+    "clear": "تلاش صاف کریں",
+    "save": "تلاش کو محفوظ کریں",
+    "delete": "محفوظ کردہ تلاش کو حذف کریں",
+    "filterInformation": "معلومات کو فلٹر کریں"
+  }
+}
diff --git a/web/public/locales/ur/views/settings.json b/web/public/locales/ur/views/settings.json
new file mode 100644
index 000000000..d7172abcb
--- /dev/null
+++ b/web/public/locales/ur/views/settings.json
@@ -0,0 +1,11 @@
+{
+  "documentTitle": {
+    "default": "ترتیبات - فریگیٹ",
+    "authentication": "تصدیق کی ترتیبات - فریگیٹ",
+    "camera": "کیمرے کی ترتیبات - فریگیٹ",
+    "masksAndZones": "ماسک اور زون ایڈیٹر - فریگیٹ",
+    "motionTuner": "موشن ٹونر - فریگیٹ",
+    "object": "ڈی بگ - فریگیٹ",
+    "enrichments": "افزودگی کی ترتیبات - فریگیٹ"
+  }
+}
diff --git a/web/public/locales/ur/views/system.json b/web/public/locales/ur/views/system.json
new file mode 100644
index 000000000..3cc08e1c4
--- /dev/null
+++ b/web/public/locales/ur/views/system.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": {
+    "cameras": "کیمروں کے اعدادوشمار - فریگیٹ",
+    "storage": "اسٹوریج کے اعدادوشمار - فریگیٹ",
+    "general": "عمومی اعدادوشمار - فریگیٹ",
+    "enrichments": "افزودگی کے اعدادوشمار - فریگیٹ",
+    "logs": {
+      "frigate": "فریگیٹ لاگز - فریگیٹ",
+      "go2rtc": "Go2RTC لاگز - فریگیٹ",
+      "nginx": "Nginx لاگز - فریگیٹ"
+    }
+  }
+}
diff --git a/web/public/locales/vi/audio.json b/web/public/locales/vi/audio.json
new file mode 100644
index 000000000..07561cc51
--- /dev/null
+++ b/web/public/locales/vi/audio.json
@@ -0,0 +1,429 @@
+{
+  "babbling": "Nói líu lo",
+  "bellow": "Gầm rú",
+  "whoop": "Hò reo",
+  "whispering": "Thì thầm",
+  "laughter": "Tiếng cười",
+  "snicker": "Cười khúc khích",
+  "sigh": "Thở dài",
+  "singing": "Hát",
+  "choir": "Dàn hợp xướng",
+  "yodeling": "Hát ngân nga",
+  "chant": "Hát đồng ca",
+  "mantra": "Thần chú",
+  "synthetic_singing": "Giọng hát tổng hợp",
+  "rapping": "Rap",
+  "humming": "Ngân nga",
+  "groan": "Rên rỉ",
+  "grunt": "Gằn giọng",
+  "whistling": "Huýt sáo",
+  "breathing": "Hít thở",
+  "wheeze": "Thở khò khè",
+  "gasp": "Thở hổn hển",
+  "pant": "Thở gấp",
+  "snort": "Khịt mũi",
+  "cough": "Ho",
+  "throat_clearing": "Hắng giọng",
+  "sneeze": "Hắt hơi",
+  "sniff": "Hít mũi",
+  "crying": "Khóc",
+  "yell": "La hét",
+  "snoring": "Ngáy",
+  "speech": "Giọng nói",
+  "child_singing": "Trẻ con hát",
+  "run": "Chạy",
+  "shuffle": "Kéo lê chân",
+  "footsteps": "Tiếng bước chân",
+  "chewing": "Nhai",
+  "biting": "Cắn",
+  "gargling": "Súc miệng",
+  "stomach_rumble": "Bụng sôi",
+  "burping": "Ợ",
+  "hiccup": "Nấc cụt",
+  "fart": "Đánh rắm",
+  "artillery_fire": "Tiếng pháo kích",
+  "cap_gun": "Tiếng súng giấy",
+  "fireworks": "Tiếng pháo hoa",
+  "firecracker": "Tiếng pháo nổ",
+  "burst": "Tiếng nổ bung",
+  "eruption": "Tiếng phun trào",
+  "boom": "Tiếng bùm",
+  "wood": "Tiếng gỗ",
+  "chop": "Tiếng chặt",
+  "splinter": "Tiếng gỗ vỡ",
+  "crack": "Tiếng nứt",
+  "glass": "Tiếng thủy tinh",
+  "chink": "Tiếng leng keng",
+  "shatter": "Tiếng vỡ vụn",
+  "silence": "Sự im lặng",
+  "sound_effect": "Hiệu ứng âm thanh",
+  "environmental_noise": "Tiếng ồn môi trường",
+  "static": "Tiếng nhiễu",
+  "white_noise": "Tiếng trắng",
+  "pink_noise": "Tiếng hồng",
+  "television": "Tiếng tivi",
+  "hands": "Tay",
+  "finger_snapping": "Búng tay",
+  "clapping": "Vỗ tay",
+  "heartbeat": "Nhịp tim",
+  "heart_murmur": "Tiếng thổi tim",
+  "cheering": "Cổ vũ",
+  "applause": "Tràng pháo tay",
+  "chatter": "Nói chuyện rì rầm",
+  "crowd": "Đám đông",
+  "children_playing": "Trẻ con chơi",
+  "animal": "Động vật",
+  "pets": "Thú cưng",
+  "dog": "Chó",
+  "bark": "Sủa",
+  "yip": "Sủa nhỏ",
+  "howl": "Hú",
+  "bow_wow": "Gâu gâu",
+  "growling": "Gầm gừ",
+  "whimper_dog": "Rên rỉ (chó)",
+  "livestock": "Gia súc",
+  "cat": "Mèo",
+  "purr": "Rù rì",
+  "meow": "Meo meo",
+  "hiss": "Phì phì",
+  "caterwaul": "Tiếng mèo gào",
+  "horse": "Ngựa",
+  "clip_clop": "Lộc cộc",
+  "neigh": "Hí (ngựa)",
+  "cattle": "Bò",
+  "moo": "Bò rống",
+  "cowbell": "Chuông bò",
+  "pig": "Heo",
+  "oink": "Ụt ịt",
+  "goat": "Dê",
+  "bleat": "Kêu be be",
+  "sheep": "Cừu",
+  "fowl": "Gia cầm",
+  "chicken": "Gà",
+  "cluck": "Cục tác",
+  "cock_a_doodle_doo": "Gáy (gà trống)",
+  "turkey": "Gà tây",
+  "gobble": "Gù gù (gà tây)",
+  "duck": "Vịt",
+  "quack": "Quạc quạc",
+  "goose": "Ngỗng",
+  "roar": "Gầm rú",
+  "bird": "Chim",
+  "chirp": "Hót líu lo",
+  "squawk": "Kêu the thé",
+  "honk": "Kêu vang (ngỗng)",
+  "wild_animals": "Động vật hoang dã",
+  "roaring_cats": "Mèo lớn gầm",
+  "pigeon": "Bồ câu",
+  "coo": "Cục cu",
+  "crow": "Quạ",
+  "caw": "Kêu quạ quạ",
+  "owl": "Cú mèo",
+  "hoot": "Kêu tu hú",
+  "flapping_wings": "Vỗ cánh",
+  "dogs": "Nhiều con chó",
+  "rats": "Chuột cống",
+  "mouse": "Chuột nhắt",
+  "patter": "Lách cách (bước chân nhỏ)",
+  "insect": "Côn trùng",
+  "cricket": "Dế",
+  "mosquito": "Muỗi",
+  "fly": "Ruồi",
+  "buzz": "Vo ve",
+  "frog": "Ếch",
+  "croak": "Ếch kêu",
+  "snake": "Rắn",
+  "rattle": "Lắc lư / lách cách",
+  "whale_vocalization": "Tiếng cá voi",
+  "music": "Âm nhạc",
+  "musical_instrument": "Nhạc cụ",
+  "plucked_string_instrument": "Nhạc cụ dây gảy",
+  "guitar": "Đàn guitar",
+  "electric_guitar": "Đàn guitar điện",
+  "bass_guitar": "Đàn guitar bass",
+  "acoustic_guitar": "Đàn guitar acoustic",
+  "steel_guitar": "Đàn steel guitar",
+  "tapping": "Kỹ thuật tapping",
+  "strum": "Gảy đàn",
+  "banjo": "Đàn banjo",
+  "sitar": "Đàn sitar",
+  "mandolin": "Đàn mandolin",
+  "zither": "Đàn tranh",
+  "ukulele": "Đàn ukulele",
+  "keyboard": "Bàn phím nhạc",
+  "piano": "Đàn piano",
+  "electric_piano": "đàn piano điện",
+  "organ": "Đàn organ",
+  "electronic_organ": "Đàn organ điện tử",
+  "hammond_organ": "Đàn organ Hammond",
+  "synthesizer": "Bộ tổng hợp âm",
+  "sampler": "Thiết bị lấy mẫu âm thanh",
+  "harpsichord": "Đàn harpsichord",
+  "percussion": "Bộ gõ",
+  "drum_kit": "Bộ trống",
+  "drum_machine": "Máy trống",
+  "drum": "Tiếng trống",
+  "snare_drum": "Trống snare",
+  "rimshot": "Gõ vành trống",
+  "drum_roll": "Cuộn trống",
+  "bass_drum": "Trống bass",
+  "timpani": "Trống timpani",
+  "tabla": "Trống tabla",
+  "cymbal": "Tiếng chũm chọe",
+  "hi_hat": "Tiếng hi-hat",
+  "wood_block": "Khối gỗ gõ",
+  "tambourine": "Trống lắc",
+  "maraca": "Tiếng lắc maraca",
+  "gong": "Tiếng chiêng",
+  "tubular_bells": "Chuông ống",
+  "mallet_percussion": "Nhạc cụ gõ bằng dùi",
+  "marimba": "Đàn marimba",
+  "glockenspiel": "Chuông gõ glockenspiel",
+  "vibraphone": "Đàn vibraphone",
+  "steelpan": "Trống thép",
+  "orchestra": "Dàn nhạc giao hưởng",
+  "brass_instrument": "Nhạc cụ đồng",
+  "french_horn": "Kèn Pháp",
+  "trumpet": "Kèn trumpet",
+  "trombone": "Kèn trombone",
+  "bowed_string_instrument": "Nhạc cụ dây kéo",
+  "string_section": "Dàn dây",
+  "violin": "Đàn violin",
+  "pizzicato": "Gảy dây pizzicato",
+  "cello": "Đàn cello",
+  "double_bass": "Đàn contrabass",
+  "wind_instrument": "Nhạc cụ hơi",
+  "flute": "Tiếng sáo",
+  "saxophone": "Kèn saxophone",
+  "clarinet": "Kèn clarinet",
+  "harp": "Đàn harp",
+  "bell": "Chuông",
+  "church_bell": "Chuông nhà thờ",
+  "jingle_bell": "Chuông leng keng",
+  "bicycle_bell": "Chuông xe đạp",
+  "tuning_fork": "Âm thoa",
+  "chime": "Tiếng chuỗi chuông",
+  "wind_chime": "Tiếng chuông gió",
+  "harmonica": "Tiếng kèn harmonica",
+  "accordion": "Tiếng đàn accordion",
+  "bagpipes": "Tiếng kèn túi",
+  "didgeridoo": "Tiếng kèn didgeridoo",
+  "theremin": "Tiếng nhạc cụ theremin",
+  "singing_bowl": "Tiếng chuông xoay Tây Tạng",
+  "scratching": "Scratch nhạc (xoay đĩa)",
+  "pop_music": "Nhạc pop",
+  "hip_hop_music": "Nhạc hip hop",
+  "beatboxing": "Beatbox",
+  "rock_music": "Nhạc rock",
+  "heavy_metal": "Nhạc heavy metal",
+  "punk_rock": "Nhạc punk rock",
+  "grunge": "Nhạc grunge",
+  "progressive_rock": "Nhạc rock tiến bộ",
+  "rock_and_roll": "Nhạc rock and roll",
+  "psychedelic_rock": "Nhạc rock ảo giác",
+  "rhythm_and_blues": "Nhạc R&B",
+  "soul_music": "Nhạc soul",
+  "reggae": "Nhạc reggae",
+  "country": "Nhạc đồng quê",
+  "swing_music": "Nhạc swing",
+  "bluegrass": "Nhạc bluegrass",
+  "funk": "Nhạc funk",
+  "folk_music": "Nhạc dân gian",
+  "middle_eastern_music": "Nhạc Trung Đông",
+  "jazz": "Nhạc jazz",
+  "disco": "Nhạc disco",
+  "classical_music": "Nhạc cổ điển",
+  "opera": "Nhạc opera",
+  "electronic_music": "Nhạc điện tử",
+  "house_music": "Nhạc house",
+  "techno": "Nhạc techno",
+  "dubstep": "Nhạc dubstep",
+  "drum_and_bass": "Nhạc trống và bass",
+  "electronica": "Nhạc electronica",
+  "electronic_dance_music": "Nhạc nhảy điện tử",
+  "ambient_music": "Nhạc nền",
+  "trance_music": "Nhạc trance",
+  "music_of_latin_america": "Nhạc Mỹ Latinh",
+  "salsa_music": "Nhạc salsa",
+  "flamenco": "Nhạc flamenco",
+  "blues": "Nhạc blues",
+  "music_for_children": "Nhạc thiếu nhi",
+  "new-age_music": "Nhạc thời đại mới",
+  "vocal_music": "Nhạc thanh nhạc",
+  "a_capella": "Nhạc a cappella",
+  "music_of_africa": "Nhạc châu Phi",
+  "afrobeat": "Nhạc afrobeat",
+  "christian_music": "Nhạc Cơ Đốc",
+  "gospel_music": "Nhạc phúc âm",
+  "music_of_asia": "Nhạc châu Á",
+  "carnatic_music": "Nhạc Carnatic",
+  "music_of_bollywood": "Nhạc Bollywood",
+  "ska": "Nhạc ska",
+  "traditional_music": "Nhạc truyền thống",
+  "independent_music": "Nhạc indie",
+  "song": "Bài hát",
+  "background_music": "Nhạc nền",
+  "theme_music": "Nhạc chủ đề",
+  "jingle": "Nhạc quảng cáo",
+  "soundtrack_music": "Nhạc phim",
+  "lullaby": "Tiếng ru",
+  "video_game_music": "Nhạc trò chơi",
+  "christmas_music": "Nhạc Giáng Sinh",
+  "dance_music": "Nhạc khiêu vũ",
+  "wedding_music": "Nhạc đám cưới",
+  "happy_music": "Nhạc vui",
+  "sad_music": "Nhạc buồn",
+  "tender_music": "Nhạc nhẹ nhàng",
+  "exciting_music": "Nhạc sôi động",
+  "angry_music": "Nhạc tức giận",
+  "scary_music": "Nhạc rùng rợn",
+  "wind": "Tiếng gió",
+  "rustling_leaves": "Tiếng lá xào xạc",
+  "wind_noise": "Tiếng gió rít",
+  "thunderstorm": "Tiếng giông bão",
+  "water": "Tiếng nước",
+  "thunder": "Tiếng sấm",
+  "rain": "Tiếng mưa",
+  "raindrop": "Tiếng giọt mưa",
+  "rain_on_surface": "Tiếng mưa rơi",
+  "stream": "Tiếng suối",
+  "waterfall": "Tiếng thác nước",
+  "ocean": "Tiếng biển",
+  "waves": "Tiếng sóng",
+  "steam": "Tiếng hơi nước",
+  "gurgling": "Tiếng róc rách",
+  "fire": "Tiếng lửa",
+  "crackle": "Tiếng tí tách",
+  "vehicle": "Tiếng phương tiện",
+  "boat": "Tiếng thuyền",
+  "sailboat": "Tiếng thuyền buồm",
+  "rowboat": "Tiếng chèo thuyền",
+  "motorboat": "Tiếng xuồng máy",
+  "ship": "Tiếng tàu",
+  "motor_vehicle": "Tiếng xe cơ giới",
+  "car": "Tiếng xe ô tô",
+  "toot": "Tiếng bấm còi",
+  "car_alarm": "Tiếng báo động ô tô",
+  "power_windows": "Tiếng cửa kính xe",
+  "skidding": "Tiếng trượt bánh",
+  "tire_squeal": "Tiếng lốp rít",
+  "car_passing_by": "Tiếng xe chạy qua",
+  "race_car": "Tiếng xe đua",
+  "truck": "Tiếng xe tải",
+  "ice_cream_truck": "Tiếng xe kem",
+  "air_brake": "Tiếng phanh hơi",
+  "air_horn": "Tiếng còi hơi",
+  "reversing_beeps": "Tiếng kêu lùi xe",
+  "bus": "Tiếng xe buýt",
+  "emergency_vehicle": "Tiếng xe khẩn cấp",
+  "police_car": "Tiếng xe cảnh sát",
+  "ambulance": "Tiếng xe cứu thương",
+  "fire_engine": "Tiếng xe cứu hỏa",
+  "motorcycle": "Tiếng xe máy",
+  "traffic_noise": "Tiếng giao thông",
+  "rail_transport": "Tiếng đường sắt",
+  "train_horn": "Tiếng còi tàu hỏa",
+  "railroad_car": "Tiếng toa tàu",
+  "train": "Tiếng tàu hỏa",
+  "train_whistle": "Tiếng còi tàu",
+  "train_wheels_squealing": "Tiếng bánh tàu rít",
+  "subway": "Tiếng tàu điện ngầm",
+  "aircraft": "Tiếng máy bay",
+  "aircraft_engine": "Tiếng động cơ máy bay",
+  "jet_engine": "Tiếng động cơ phản lực",
+  "propeller": "Tiếng cánh quạt",
+  "helicopter": "Tiếng trực thăng",
+  "fixed-wing_aircraft": "Tiếng máy bay cánh cố định",
+  "bicycle": "Tiếng xe đạp",
+  "skateboard": "Tiếng ván trượt",
+  "engine": "Tiếng động cơ",
+  "light_engine": "Tiếng động cơ nhẹ",
+  "dental_drill's_drill": "Tiếng khoan nha khoa",
+  "lawn_mower": "Tiếng máy cắt cỏ",
+  "chainsaw": "Tiếng cưa máy",
+  "medium_engine": "Tiếng động cơ vừa",
+  "heavy_engine": "Tiếng động cơ nặng",
+  "engine_knocking": "Tiếng gõ máy",
+  "engine_starting": "Tiếng khởi động động cơ",
+  "ding-dong": "Tiếng ding-dong",
+  "idling": "Tiếng nổ không tải",
+  "accelerating": "Tiếng tăng tốc",
+  "door": "Tiếng cửa",
+  "doorbell": "Tiếng chuông cửa",
+  "sliding_door": "Tiếng cửa trượt",
+  "slam": "Tiếng đóng sầm",
+  "knock": "Tiếng gõ cửa",
+  "tap": "Tiếng gõ nhẹ",
+  "squeak": "Tiếng kêu cót két",
+  "cupboard_open_or_close": "Tiếng mở/đóng tủ",
+  "drawer_open_or_close": "Tiếng mở/đóng ngăn kéo",
+  "dishes": "Tiếng bát đĩa",
+  "cutlery": "Tiếng dao nĩa",
+  "chopping": "Tiếng băm chặt",
+  "frying": "Tiếng chiên xào",
+  "microwave_oven": "Tiếng lò vi sóng",
+  "blender": "Tiếng máy xay",
+  "water_tap": "Tiếng vòi nước",
+  "sink": "Tiếng bồn rửa",
+  "bathtub": "Tiếng bồn tắm",
+  "coin": "Tiếng đồng xu",
+  "hair_dryer": "Tiếng máy sấy tóc",
+  "toilet_flush": "Tiếng xả nước",
+  "toothbrush": "Tiếng bàn chải",
+  "electric_toothbrush": "Tiếng bàn chải điện",
+  "vacuum_cleaner": "Tiếng máy hút bụi",
+  "zipper": "Tiếng dây kéo",
+  "keys_jangling": "Tiếng chìa khóa leng keng",
+  "scissors": "Tiếng kéo cắt",
+  "electric_shaver": "Tiếng máy cạo râu",
+  "shuffling_cards": "Tiếng xào bài",
+  "typing": "Tiếng gõ phím",
+  "typewriter": "Tiếng máy đánh chữ",
+  "computer_keyboard": "Tiếng bàn phím",
+  "writing": "Tiếng viết",
+  "alarm": "Tiếng báo động",
+  "telephone": "Tiếng điện thoại",
+  "telephone_bell_ringing": "Tiếng chuông điện thoại",
+  "ringtone": "Tiếng nhạc chuông",
+  "telephone_dialing": "Tiếng quay số",
+  "dial_tone": "Tiếng âm quay số",
+  "busy_signal": "Tiếng tín hiệu bận",
+  "alarm_clock": "Tiếng đồng hồ báo thức",
+  "siren": "Tiếng còi báo động",
+  "civil_defense_siren": "Tiếng còi phòng không",
+  "buzzer": "Tiếng chuông báo",
+  "smoke_detector": "Tiếng báo khói",
+  "fire_alarm": "Tiếng báo cháy",
+  "foghorn": "Tiếng còi sương",
+  "whistle": "Tiếng còi",
+  "steam_whistle": "Tiếng còi hơi",
+  "mechanisms": "Tiếng cơ khí",
+  "ratchet": "Tiếng cơ cấu bánh cóc",
+  "clock": "Tiếng đồng hồ",
+  "tick": "Tiếng tích",
+  "tick-tock": "Tiếng tích tắc",
+  "gears": "Tiếng bánh răng",
+  "pulleys": "Tiếng ròng rọc",
+  "sewing_machine": "Tiếng máy may",
+  "camera": "Tiếng máy ảnh",
+  "single-lens_reflex_camera": "Tiếng máy ảnh DSLR",
+  "mechanical_fan": "Tiếng quạt máy",
+  "air_conditioning": "Tiếng máy lạnh",
+  "cash_register": "Tiếng máy tính tiền",
+  "printer": "Tiếng máy in",
+  "tools": "Tiếng dụng cụ",
+  "hammer": "Tiếng búa",
+  "jackhammer": "Tiếng khoan bê tông",
+  "sawing": "Tiếng cưa",
+  "filing": "Tiếng giũa",
+  "sanding": "Tiếng chà nhám",
+  "power_tool": "Tiếng dụng cụ điện",
+  "drill": "Tiếng máy khoan",
+  "explosion": "Tiếng nổ",
+  "gunshot": "Tiếng súng",
+  "machine_gun": "Tiếng súng máy",
+  "fusillade": "Tiếng loạt súng",
+  "radio": "Tiếng radio",
+  "field_recording": "Ghi âm hiện trường",
+  "scream": "Tiếng hét"
+}
diff --git a/web/public/locales/vi/common.json b/web/public/locales/vi/common.json
new file mode 100644
index 000000000..af34c5ee3
--- /dev/null
+++ b/web/public/locales/vi/common.json
@@ -0,0 +1,261 @@
+{
+  "time": {
+    "untilRestart": "Đến khi khởi động lại",
+    "untilForTime": "Cho đến khi {{time}}",
+    "untilForRestart": "Cho đến khi Frigate khởi động lại.",
+    "ago": "{{timeAgo}} trước",
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "year_other": "{{time}} năm",
+    "month_other": "{{time}} tháng",
+    "day_other": "{{time}} ngày",
+    "hour_other": "{{time}} giờ",
+    "minute_other": "{{time}} phút",
+    "second_other": "{{time}} giây",
+    "justNow": "Vừa xong",
+    "today": "Hôm nay",
+    "yesterday": "Hôm qua",
+    "last7": "7 ngày qua",
+    "last14": "14 ngày qua",
+    "last30": "30 ngày qua",
+    "thisWeek": "Tuần này",
+    "lastWeek": "Tuần trước",
+    "thisMonth": "Tháng này",
+    "lastMonth": "Tháng trước",
+    "5minutes": "5 phút",
+    "10minutes": "10 phút",
+    "30minutes": "30 phút",
+    "1hour": "1 giờ",
+    "12hours": "12 giờ",
+    "24hours": "24 giờ",
+    "pm": "pm",
+    "am": "am",
+    "mo": "{{time}} tháng",
+    "d": "{{time}} ngày",
+    "m": "{{time}} phút",
+    "s": "{{time}} giây",
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "thời gian 12 giờ (không giây)",
+      "24hour": "thời gian 24 giờ (không giây)"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "thời gian 12 giờ kèm năm",
+      "24hour": "thời gian 24 giờ kèm năm"
+    },
+    "formattedTimestampOnlyMonthAndDay": "chỉ tháng và ngày",
+    "yr": "{{time}} năm",
+    "h": "{{time}} giờ",
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-s"
+    }
+  },
+  "menu": {
+    "systemLogs": "Nhật ký hệ thống",
+    "user": {
+      "account": "Tài khoản",
+      "anonymous": "Ẩn danh",
+      "logout": "Đăng xuất",
+      "setPassword": "Đặt mật khẩu",
+      "current": "Người dùng hiện tại: {{user}}",
+      "title": "Người dùng"
+    },
+    "language": {
+      "en": "English (Tiếng Anh)",
+      "es": "Español (Tiếng Tây Ban Nha)",
+      "zhCN": "简体中文 (Tiếng Trung Giản Thể)",
+      "ar": "العربية (Tiếng Ả Rập)",
+      "hi": "हिन्दी (Tiếng Hindi)",
+      "fr": "Français (Tiếng Pháp)",
+      "pt": "Português (Tiếng Bồ Đào Nha)",
+      "ru": "Русский (Tiếng Nga)",
+      "de": "Deutsch (Tiếng Đức)",
+      "ja": "日本語 (Tiếng Nhật)",
+      "tr": "Türkçe (Tiếng Thổ Nhĩ Kỳ)",
+      "it": "Italiano (Tiếng Ý)",
+      "nl": "Nederlands (Tiếng Hà Lan)",
+      "sv": "Svenska (Tiếng Thụy Điển)",
+      "cs": "Čeština (Tiếng Séc)",
+      "nb": "Norsk Bokmål (Tiếng Na Uy)",
+      "ko": "한국어 (Tiếng Hàn)",
+      "pl": "Polski (Tiếng Ba Lan)",
+      "vi": "Tiếng Việt (Tiếng Việt)",
+      "fa": "فارسی (Tiếng Ba Tư)",
+      "uk": "Українська (Tiếng Ukraina)",
+      "he": "עברית (Tiếng Do Thái)",
+      "el": "Ελληνικά (Tiếng Hy Lạp)",
+      "ro": "Română (Tiếng Romania)",
+      "hu": "Magyar (Tiếng Hungary)",
+      "fi": "Suomi (Tiếng Phần Lan)",
+      "da": "Dansk (Tiếng Đan Mạch)",
+      "sk": "Slovenčina (Tiếng Slovakia)",
+      "withSystem": {
+        "label": "Theo hệ thống"
+      },
+      "yue": "粵語 (Tiếng Quảng Đông)",
+      "ca": "Català (Tiếng Catalan)",
+      "th": "ไทย (Tiếng Thái)"
+    },
+    "system": "Hệ thống",
+    "systemMetrics": "Thông số hệ thống",
+    "configuration": "Cấu hình",
+    "settings": "Cài đặt",
+    "configurationEditor": "Trình chỉnh sửa cấu hình",
+    "languages": "Ngôn ngữ",
+    "appearance": "Giao diện",
+    "darkMode": {
+      "label": "Chế độ tối",
+      "light": "Sáng",
+      "dark": "Tối",
+      "withSystem": {
+        "label": "Theo hệ thống"
+      }
+    },
+    "withSystem": "Hệ thống",
+    "theme": {
+      "label": "Giao diện",
+      "red": "Đỏ",
+      "contrast": "tương phản",
+      "blue": "Xanh dương",
+      "green": "Xanh lá",
+      "nord": "Nord",
+      "default": "Mặc định",
+      "highcontrast": "Độ tương phản cao"
+    },
+    "help": "Trợ giúp",
+    "documentation": {
+      "title": "Tài liệu",
+      "label": "Hướng dẫn"
+    },
+    "restart": "Khởi động lại",
+    "live": {
+      "title": "Trực tiếp",
+      "allCameras": "Tất cả Camera",
+      "cameras": {
+        "title": "Camera",
+        "count_other": "{{count}} Camera"
+      }
+    },
+    "review": "Xem lại",
+    "explore": "Khám phá",
+    "export": "Xuất",
+    "uiPlayground": "UI Playground",
+    "faceLibrary": "Thư viện khuôn mặt"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph (dặm/giờ)",
+      "kph": "km/h (kilômét/giờ)"
+    },
+    "length": {
+      "meters": "mét (m)",
+      "feet": "feet (ft)"
+    }
+  },
+  "label": {
+    "back": "Quay lại"
+  },
+  "button": {
+    "apply": "Áp dụng",
+    "reset": "Đặt lại",
+    "done": "Xong",
+    "enabled": "Đã bật",
+    "enable": "Bật",
+    "disabled": "Đã tắt",
+    "disable": "Tắt",
+    "save": "Lưu",
+    "cancel": "Hủy",
+    "close": "Đóng",
+    "copy": "Sao chép",
+    "back": "Quay lại",
+    "history": "Lịch sử",
+    "fullscreen": "Toàn màn hình",
+    "on": "Bật",
+    "exitFullscreen": "Thoát toàn màn hình",
+    "pictureInPicture": "Hình trong hình",
+    "twoWayTalk": "Đàm thoại hai chiều",
+    "cameraAudio": "Âm thanh Camera",
+    "off": "Tắt",
+    "edit": "Chỉnh sửa",
+    "copyCoordinates": "Sao chép tọa độ",
+    "delete": "Xóa",
+    "yes": "Có",
+    "no": "Không",
+    "download": "Tải xuống",
+    "info": "Thông tin",
+    "suspended": "Đã tạm dừng",
+    "unsuspended": "Khôi phục",
+    "play": "Phát",
+    "unselect": "Bỏ chọn",
+    "export": "Xuất",
+    "deleteNow": "Xóa ngay",
+    "next": "Tiếp theo",
+    "saving": "Đang lưu…"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Đã sao chép liên kết.",
+    "save": {
+      "title": "Lưu thành công",
+      "error": {
+        "noMessage": "Không thể lưu thay đổi cấu hình",
+        "title": "Lỗi khi lưu thay đổi cấu hình: {{errorMessage}}"
+      }
+    }
+  },
+  "role": {
+    "title": "Vai trò",
+    "admin": "Quản trị viên",
+    "viewer": "Người xem",
+    "desc": "Quản trị viên có toàn quyền truy cập tất cả các tính năng trong giao diện Frigate. Người xem chỉ được phép xem camera, mục đã ghi lại và các đoạn video lịch sử trong giao diện."
+  },
+  "pagination": {
+    "label": "Trang",
+    "previous": {
+      "title": "Trước đó",
+      "label": "Trước"
+    },
+    "next": {
+      "title": "Kế tiếp",
+      "label": "Tiếp"
+    },
+    "more": "Xem thêm"
+  },
+  "accessDenied": {
+    "documentTitle": "Từ chối truy cập",
+    "title": "Truy cập bị từ chối",
+    "desc": "Bạn không có quyền truy cập vào trang này."
+  },
+  "notFound": {
+    "documentTitle": "Không tìm thấy",
+    "title": "Không tìm thấy",
+    "desc": "Trang bạn đang tìm không tồn tại"
+  },
+  "selectItem": "Chọn mục {{item}}"
+}
diff --git a/web/public/locales/vi/components/auth.json b/web/public/locales/vi/components/auth.json
new file mode 100644
index 000000000..3d942b9c2
--- /dev/null
+++ b/web/public/locales/vi/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "Tên người dùng",
+    "password": "Mật khẩu",
+    "login": "Đăng nhập",
+    "errors": {
+      "usernameRequired": "Tên người dùng là bắt buộc",
+      "passwordRequired": "Mật khẩu là bắt buộc",
+      "rateLimit": "Đã vượt quá giới hạn tốc độ. Hãy thử lại sau.",
+      "loginFailed": "Đăng nhập không thành công",
+      "unknownError": "Lỗi không xác định. Kiểm tra nhật ký.",
+      "webUnknownError": "Lỗi không xác định. Kiểm tra nhật ký bảng điều khiển."
+    }
+  }
+}
diff --git a/web/public/locales/vi/components/camera.json b/web/public/locales/vi/components/camera.json
new file mode 100644
index 000000000..07617eb47
--- /dev/null
+++ b/web/public/locales/vi/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "delete": {
+      "label": "Xóa nhóm Camera",
+      "confirm": {
+        "title": "Xác nhận xóa",
+        "desc": "Bạn có chắc chắn muốn xóa nhóm camera <em>{{name}}</em> không?"
+      }
+    },
+    "label": "Các nhóm Camera",
+    "add": "Thêm nhóm Camera",
+    "camera": {
+      "setting": {
+        "stream": "Trực tiếp",
+        "audio": {
+          "tips": {
+            "title": "Âm thanh phải được xuất từ camera của bạn và được định cấu hình trong go2rtc cho luồng này.",
+            "document": "Đọc tài liệu "
+          }
+        },
+        "desc": "Thay đổi các tùy chọn truyền phát trực tiếp cho bảng điều khiển của nhóm camera này.<em>Các cài đặt này dành riêng cho thiết bị/trình duyệt..</em>",
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "desc": "Hình ảnh camera sẽ chỉ cập nhật mỗi phút một lần và không có truyền phát nào xảy ra.",
+              "label": "Không truyền phát"
+            },
+            "continuousStreaming": {
+              "desc": {
+                "title": "Hình ảnh camera sẽ luôn là luồng trực tiếp khi hiển thị trên bảng điều khiển, ngay cả khi không có hoạt động nào được phát hiện.",
+                "warning": "Truyền phát liên tục có thể gây ra sử dụng băng thông cao và các vấn đề về hiệu suất. Sử dụng một cách thận trọng."
+              },
+              "label": "Truyền phát liên tục"
+            },
+            "smartStreaming": {
+              "label": "Truyền phát Thông minh (khuyến nghị)",
+              "desc": "Truyền phát thông minh sẽ cập nhật hình ảnh camera của bạn mỗi phút một lần khi không có hoạt động nào được phát hiện để tiết kiệm băng thông và tài nguyên. Khi phát hiện hoạt động, hình ảnh sẽ chuyển đổi liền mạch sang luồng trực tiếp."
+            }
+          },
+          "placeholder": "Chọn phương thức truyền phát",
+          "label": "Phương thức truyền phát"
+        },
+        "placeholder": "Chọn phát trực tiếp",
+        "compatibilityMode": {
+          "label": "Chế độ tương thích",
+          "desc": "Chỉ bật tùy chọn này nếu luồng trực tiếp của camera của bạn hiển thị các hiện vật màu và có một đường chéo ở phía bên phải của hình ảnh."
+        },
+        "title": "Cài đặt trực tiếp {{cameraName}}",
+        "audioIsAvailable": "Âm thanh có sẵn cho luồng này",
+        "audioIsUnavailable": "Âm thanh không có sẵn cho luồng này",
+        "label": "Cài đặt trực tiếp Camera"
+      }
+    },
+    "name": {
+      "label": "Tên",
+      "errorMessage": {
+        "mustLeastCharacters": "Tên nhóm Camera phải có ít nhất 2 ký tự.",
+        "nameMustNotPeriod": "Tên nhóm camera không được chứa dấu chấm.",
+        "exists": "Tên nhóm Camera đã tồn tại.",
+        "invalid": "Tên nhóm camera không hợp lệ."
+      },
+      "placeholder": "Nhập tên…"
+    },
+    "icon": "Biểu tượng",
+    "success": "Nhóm camera ({{name}}) đã được lưu.",
+    "cameras": {
+      "desc": "Chọn camera cho nhóm này.",
+      "label": "Camera"
+    },
+    "edit": "Sửa nhóm Camera"
+  },
+  "debug": {
+    "boundingBox": "Hộp giới hạn",
+    "options": {
+      "hideOptions": "Ẩn tùy chọn",
+      "label": "Cài đặt",
+      "title": "Tùy chọn",
+      "showOptions": "Hiện thị tùy chọn"
+    },
+    "timestamp": "Dấu thời gian",
+    "zones": "Khu vực",
+    "mask": "Mặt nạ",
+    "motion": "Chuyển động",
+    "regions": "Vùng"
+  }
+}
diff --git a/web/public/locales/vi/components/dialog.json b/web/public/locales/vi/components/dialog.json
new file mode 100644
index 000000000..53b1226b1
--- /dev/null
+++ b/web/public/locales/vi/components/dialog.json
@@ -0,0 +1,112 @@
+{
+  "restart": {
+    "title": "Bạn có chắc chắn muốn khởi động lại Frigate không?",
+    "button": "Khởi động lại",
+    "restarting": {
+      "title": "Đang khởi động lại Frigate",
+      "content": "Trang này sẽ tải lại sau {{countdown}} giây.",
+      "button": "Tải lại ngay"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "ask_a": "Đối tượng này có phải là một <code>{{label}}</code> không?",
+          "ask_an": "Đối tượng này có phải là một <code>{{label}}</code> không?",
+          "label": "Xác nhận nhãn này cho Frigate Plus",
+          "ask_full": "Đối tượng này có phải là một <code>{{untranslatedLabel}}</code> ({{translatedLabel}}) không?"
+        },
+        "state": {
+          "submitted": "Đã gửi"
+        }
+      },
+      "submitToPlus": {
+        "label": "Gửi lên Frigate+",
+        "desc": "Đối tượng xuất hiện ở các khu vực bạn muốn tránh không được xem là phát hiện sai. Gửi chúng lên dưới dạng phát hiện sai có thể làm mô hình bị nhầm lẫn."
+      }
+    },
+    "video": {
+      "viewInHistory": "Xem lại trong Lịch sử"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Chọn từ Dòng thời gian",
+      "custom": "Tuỳ chọn",
+      "start": {
+        "title": "Thời gian bắt đầu",
+        "label": "Chọn thời gian bắt đầu"
+      },
+      "end": {
+        "title": "Thời gian kết thúc",
+        "label": "Chọn thời gian kết thúc"
+      },
+      "lastHour_other": "{{count}} giờ trước"
+    },
+    "name": {
+      "placeholder": "Đặt tên cho bản xuất"
+    },
+    "select": "Chọn",
+    "export": "Xuất",
+    "selectOrExport": "Chọn hay xuất",
+    "toast": {
+      "error": {
+        "endTimeMustAfterStartTime": "Thời gian kết thúc phải sau thời gian bắt đầu",
+        "noVaildTimeSelected": "Chưa chọn khoảng thời gian hợp lệ",
+        "failed": "Không thể bắt đầu xuất: {{error}}"
+      },
+      "success": "Đã bắt đầu xuất thành công. Xem tệp trong thư mục /exports."
+    },
+    "fromTimeline": {
+      "saveExport": "Lưu bản xuất",
+      "previewExport": "Xem trước bản xuất"
+    }
+  },
+  "streaming": {
+    "debugView": "Chế độ xem Gỡ lỗi",
+    "label": "Luồng",
+    "restreaming": {
+      "disabled": "Tính năng phát lại luồng không được bật cho camera này.",
+      "desc": {
+        "title": "Thiết lập go2rtc để có thêm tùy chọn xem trực tiếp và âm thanh cho camera này.",
+        "readTheDocumentation": "Đọc tài liệu"
+      }
+    },
+    "showStats": {
+      "label": "Hiển thị số liệu thống kê luồng",
+      "desc": "Bật tùy chọn này để hiển thị số liệu thống kê luồng dưới dạng lớp phủ trên nguồn cấp dữ liệu camera."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Xác nhận xóa",
+      "toast": {
+        "success": "Đoạn video liên quan đến các mục đánh giá đã chọn đã được xóa thành công.",
+        "error": "Không thể xóa: {{error}}"
+      },
+      "desc": {
+        "selected": "Bạn có chắc chắn muốn xóa tất cả video đã ghi liên quan đến mục đánh giá này không?<br /><br />Giữ phím <em>Shift</em> để bỏ qua hộp thoại này trong tương lai."
+      }
+    },
+    "button": {
+      "deleteNow": "Xóa ngay",
+      "export": "Xuất",
+      "markAsReviewed": "Đánh dấu là đã xem xét"
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "success": "Tìm kiếm ({{searchName}}) đã được lưu.",
+      "button": {
+        "save": {
+          "label": "Lưu tìm kiếm này"
+        }
+      },
+      "label": "Lưu tìm kiếm",
+      "desc": "Cung cấp tên cho tìm kiếm đã lưu này.",
+      "placeholder": "Nhập tên cho tìm kiếm của bạn",
+      "overwrite": "{{searchName}} đã tồn tại. Lưu sẽ ghi đè lên giá trị hiện có."
+    }
+  }
+}
diff --git a/web/public/locales/vi/components/filter.json b/web/public/locales/vi/components/filter.json
new file mode 100644
index 000000000..1570067ab
--- /dev/null
+++ b/web/public/locales/vi/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "Lọc",
+  "labels": {
+    "label": "Nhãn",
+    "all": {
+      "title": "Tất cả các nhãn",
+      "short": "Nhãn"
+    },
+    "count_one": "{{count}} nhãn",
+    "count_other": "{{count}} nhãn"
+  },
+  "features": {
+    "submittedToFrigatePlus": {
+      "tips": "Trước tiên, bạn phải lọc các đối tượng được theo dõi có ảnh chụp nhanh.<br /><br />Không thể gửi các đối tượng được theo dõi không có ảnh chụp nhanh tới Frigate+.",
+      "label": "Đã gửi tới Frigate+"
+    },
+    "label": "Tính năng",
+    "hasSnapshot": "Có ảnh chụp nhanh",
+    "hasVideoClip": "Có video clip"
+  },
+  "sort": {
+    "scoreDesc": "Điểm Đối tượng (Giảm dần)",
+    "speedAsc": "Tốc độ Ước tính (Tăng dần)",
+    "relevance": "Mức độ liên quan",
+    "label": "Sắp xếp",
+    "dateAsc": "Ngày (Tăng dần)",
+    "dateDesc": "Ngày (Giảm dần)",
+    "scoreAsc": "Điểm Đối tượng (Tăng dần)",
+    "speedDesc": "Tốc độ Ước tính (Giảm dần)"
+  },
+  "cameras": {
+    "label": "Bộ lọc Camera",
+    "all": {
+      "title": "Tất cả Camera",
+      "short": "Camera"
+    }
+  },
+  "review": {
+    "showReviewed": "Hiển thị đã xem xét"
+  },
+  "motion": {
+    "showMotionOnly": "Chỉ Hiển thị Chuyển động"
+  },
+  "explore": {
+    "settings": {
+      "title": "Cài đặt",
+      "defaultView": {
+        "title": "Chế độ xem Mặc định",
+        "desc": "Khi không có bộ lọc nào được chọn, hiển thị bản tóm tắt các đối tượng được theo dõi gần đây nhất cho mỗi nhãn, hoặc hiển thị lưới không được lọc.",
+        "summary": "Tóm tắt",
+        "unfilteredGrid": "Lưới không được lọc"
+      },
+      "gridColumns": {
+        "title": "Cột Lưới",
+        "desc": "Chọn số lượng cột trong chế độ xem lưới."
+      },
+      "searchSource": {
+        "label": "Nguồn Tìm kiếm",
+        "desc": "Chọn tìm kiếm hình thu nhỏ hay mô tả của các đối tượng được theo dõi của bạn.",
+        "options": {
+          "thumbnailImage": "Hình thu nhỏ",
+          "description": "Mô tả"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Chọn một ngày để lọc theo"
+      }
+    }
+  },
+  "logSettings": {
+    "allLogs": "Tất cả nhật ký",
+    "label": "Lọc cấp độ nhật ký",
+    "filterBySeverity": "Lọc nhật ký theo mức độ nghiêm trọng",
+    "loading": {
+      "title": "Đang tải",
+      "desc": "Khi bảng nhật ký được cuộn xuống dưới cùng, nhật ký mới sẽ tự động truyền trực tuyến khi chúng được thêm vào."
+    },
+    "disableLogStreaming": "Tắt truyền phát nhật ký"
+  },
+  "trackedObjectDelete": {
+    "title": "Xác nhận Xóa",
+    "toast": {
+      "success": "Đã xóa thành công các đối tượng được theo dõi.",
+      "error": "Không thể xóa các đối tượng được theo dõi: {{errorMessage}}"
+    },
+    "desc": "Việc xóa {{objectLength}} đối tượng được theo dõi này sẽ xóa ảnh chụp nhanh, mọi nội dung nhúng đã lưu và mọi mục nhập vòng đời đối tượng liên quan. Đoạn ghi hình đã ghi của các đối tượng được theo dõi này trong chế độ xem Lịch sử sẽ <em>KHÔNG</em> bị xóa.<br /><br />Bạn có chắc chắn muốn tiếp tục không?<br /><br />Giữ phím <em>Shift</em> để bỏ qua hộp thoại này trong tương lai."
+  },
+  "recognizedLicensePlates": {
+    "selectPlatesFromList": "Chọn một hoặc nhiều biển số từ danh sách.",
+    "title": "Biển số xe được Nhận dạng",
+    "loadFailed": "Không thể tải biển số xe được nhận dạng.",
+    "loading": "Đang tải biển số xe được nhận dạng…",
+    "placeholder": "Nhập để tìm kiếm biển số xe…",
+    "noLicensePlatesFound": "Không tìm thấy biển số xe nào."
+  },
+  "more": "Thêm Bộ lọc",
+  "reset": {
+    "label": "Đặt lại bộ lọc về giá trị mặc định"
+  },
+  "timeRange": "Phạm vi Thời gian",
+  "subLabels": {
+    "label": "Nhãn phụ",
+    "all": "Tất cả Nhãn phụ"
+  },
+  "score": "Điểm",
+  "estimatedSpeed": "Tốc độ Ước tính ({{unit}})",
+  "dates": {
+    "selectPreset": "Chọn thiết lập sẵn…",
+    "all": {
+      "title": "Tất cả Ngày",
+      "short": "Ngày"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Lọc theo mặt nạ khu vực"
+  },
+  "zones": {
+    "label": "Khu vực",
+    "all": {
+      "title": "Tất cả Khu vực",
+      "short": "Khu vực"
+    }
+  }
+}
diff --git a/web/public/locales/vi/components/icons.json b/web/public/locales/vi/components/icons.json
new file mode 100644
index 000000000..666736ef0
--- /dev/null
+++ b/web/public/locales/vi/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Chọn một biểu tượng",
+    "search": {
+      "placeholder": "Tìm kiếm một biểu tượng…"
+    }
+  }
+}
diff --git a/web/public/locales/vi/components/input.json b/web/public/locales/vi/components/input.json
new file mode 100644
index 000000000..c12a614b5
--- /dev/null
+++ b/web/public/locales/vi/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Tải xuống video",
+      "toast": {
+        "success": "Video trong mục xem lại của bạn đã bắt đầu tải xuống."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/vi/components/player.json b/web/public/locales/vi/components/player.json
new file mode 100644
index 000000000..3ce29ac46
--- /dev/null
+++ b/web/public/locales/vi/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Không tìm thấy bản ghi nào cho thời điểm này",
+  "noPreviewFound": "Không tìm thấy bản xem trước",
+  "noPreviewFoundFor": "Không tìm thấy bản xem trước cho {{cameraName}}",
+  "stats": {
+    "droppedFrameRate": "Tỷ lệ khung hình bị rớt:",
+    "droppedFrames": {
+      "short": {
+        "title": "Bị rớt",
+        "value": "{{droppedFrames}} khung hình"
+      },
+      "title": "Khung hình bị rớt:"
+    },
+    "decodedFrames": "Khung hình đã giải mã:",
+    "latency": {
+      "short": {
+        "value": "{{seconds}} giây",
+        "title": "Độ trễ"
+      },
+      "title": "Độ trễ:",
+      "value": "{{seconds}} giây"
+    },
+    "totalFrames": "Tổng số khung hình:",
+    "streamType": {
+      "title": "Loại luồng:",
+      "short": "Loại"
+    },
+    "bandwidth": {
+      "title": "Băng thông:",
+      "short": "Băng thông"
+    }
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Đã gửi thành công khung hình tới Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Không gửi được khung hình tới Frigate+"
+    }
+  },
+  "submitFrigatePlus": {
+    "title": "Gửi khung hình này tới Frigate+?",
+    "submit": "Gửi"
+  },
+  "livePlayerRequiredIOSVersion": "Yêu cầu iOS 17.1 trở lên cho loại luồng trực tiếp này.",
+  "streamOffline": {
+    "title": "Luồng ngoại tuyến",
+    "desc": "Không nhận được khung hình nào trên luồng <code>detect</code> của {{cameraName}}, hãy kiểm tra nhật ký lỗi"
+  },
+  "cameraDisabled": "Camera đã bị tắt"
+}
diff --git a/web/public/locales/vi/objects.json b/web/public/locales/vi/objects.json
new file mode 100644
index 000000000..d7168ee4e
--- /dev/null
+++ b/web/public/locales/vi/objects.json
@@ -0,0 +1,120 @@
+{
+  "mouse": "Chuột nhắt",
+  "keyboard": "Bàn phím nhạc",
+  "blender": "Tiếng máy xay",
+  "sink": "Tiếng bồn rửa",
+  "animal": "Động vật",
+  "dog": "Chó",
+  "bark": "Sủa",
+  "cat": "Mèo",
+  "horse": "Ngựa",
+  "goat": "Dê",
+  "sheep": "Cừu",
+  "bird": "Chim",
+  "vehicle": "Tiếng phương tiện",
+  "boat": "Tiếng thuyền",
+  "car": "Tiếng xe ô tô",
+  "bus": "Tiếng xe buýt",
+  "motorcycle": "Tiếng xe máy",
+  "train": "Tiếng tàu hỏa",
+  "bicycle": "Tiếng xe đạp",
+  "skateboard": "Tiếng ván trượt",
+  "door": "Tiếng cửa",
+  "hair_dryer": "Tiếng máy sấy tóc",
+  "toothbrush": "Tiếng bàn chải",
+  "scissors": "Tiếng kéo cắt",
+  "clock": "Tiếng đồng hồ",
+  "person": "Người",
+  "airplane": "Máy bay",
+  "zebra": "Ngựa vằn",
+  "tennis_racket": "Vợt tennis",
+  "plate": "Đĩa",
+  "wine_glass": "Ly rượu vang",
+  "cup": "Cốc",
+  "fork": "Nĩa",
+  "knife": "Dao",
+  "spoon": "Thìa",
+  "bowl": "Bát",
+  "banana": "Chuối",
+  "apple": "Táo",
+  "sandwich": "Bánh mì kẹp",
+  "orange": "Cam",
+  "broccoli": "Bông cải xanh",
+  "carrot": "Cà rốt",
+  "hot_dog": "Xúc xích",
+  "pizza": "Pizza",
+  "donut": "Bánh rán",
+  "chair": "Ghế",
+  "couch": "Ghế sofa",
+  "potted_plant": "Cây trồng trong chậu",
+  "bed": "Giường",
+  "mirror": "Gương",
+  "window": "Cửa sổ",
+  "desk": "Bàn làm việc",
+  "toilet": "Nhà vệ sinh",
+  "tv": "Ti vi",
+  "microwave": "Lò vi sóng",
+  "oven": "Lò nướng",
+  "toaster": "Máy nướng bánh mì",
+  "refrigerator": "Tủ lạnh",
+  "book": "Sách",
+  "face": "Mặt",
+  "license_plate": "Biển số xe",
+  "package": "Gói hàng",
+  "bbq_grill": "Vỉ nướng BBQ",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZ Post",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "traffic_light": "Đèn giao thông",
+  "fire_hydrant": "Trụ cứu hỏa",
+  "street_sign": "Biển báo đường phố",
+  "stop_sign": "Biển báo dừng",
+  "parking_meter": "Đồng hồ đỗ xe",
+  "bench": "Ghế dài",
+  "cow": "Bò",
+  "elephant": "Voi",
+  "bear": "Gấu",
+  "giraffe": "Hươu cao cổ",
+  "hat": "Mũ",
+  "backpack": "Ba lô",
+  "umbrella": "Ô",
+  "shoe": "Giày",
+  "snowboard": "Ván trượt tuyết",
+  "eye_glasses": "Kính mắt",
+  "handbag": "Túi xách",
+  "tie": "Cà vạt",
+  "suitcase": "Va li",
+  "frisbee": "Đĩa ném",
+  "skis": "Ván trượt tuyết",
+  "sports_ball": "Bóng thể thao",
+  "kite": "Diều",
+  "baseball_bat": "Gậy bóng chày",
+  "baseball_glove": "Găng tay bóng chày",
+  "surfboard": "Ván lướt sóng",
+  "bottle": "Chai",
+  "cake": "Bánh ngọt",
+  "dining_table": "Bàn ăn",
+  "laptop": "Máy tính xách tay",
+  "remote": "Điều khiển từ xa",
+  "cell_phone": "Điện thoại di động",
+  "vase": "Bình hoa",
+  "teddy_bear": "Gấu bông",
+  "hair_brush": "Lược chải tóc",
+  "squirrel": "Sóc",
+  "deer": "Hươu",
+  "fox": "Cáo",
+  "rabbit": "Thỏ",
+  "raccoon": "Gấu mèo",
+  "robot_lawnmower": "Máy cắt cỏ robot",
+  "waste_bin": "Thùng rác",
+  "on_demand": "Theo yêu cầu"
+}
diff --git a/web/public/locales/vi/views/configEditor.json b/web/public/locales/vi/views/configEditor.json
new file mode 100644
index 000000000..a9a0c4f82
--- /dev/null
+++ b/web/public/locales/vi/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "copyConfig": "Sao chép cấu hình",
+  "saveAndRestart": "Lưu & Khởi động lại",
+  "saveOnly": "Chỉ lưu",
+  "confirm": "Thoát mà không lưu?",
+  "toast": {
+    "error": {
+      "savingError": "Lỗi khi lưu cấu hình"
+    },
+    "success": {
+      "copyToClipboard": "Đã sao chép cấu hình vào bộ nhớ tạm."
+    }
+  },
+  "configEditor": "Trình chỉnh sửa cấu hình",
+  "documentTitle": "Trình chỉnh sửa - Frigate"
+}
diff --git a/web/public/locales/vi/views/events.json b/web/public/locales/vi/views/events.json
new file mode 100644
index 000000000..4259ab2cc
--- /dev/null
+++ b/web/public/locales/vi/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "Tiếng máy ảnh",
+  "alerts": "Cảnh báo",
+  "detections": "Phát hiện",
+  "motion": {
+    "only": "Chỉ chuyển động",
+    "label": "Chuyển động"
+  },
+  "allCameras": "Tất cả Camera",
+  "detected": "Đã phát hiện",
+  "recordings": {
+    "documentTitle": "Bản ghi - Frigate"
+  },
+  "events": {
+    "aria": "Chọn sự kiện",
+    "label": "Sự kiện",
+    "noFoundForTimePeriod": "Không tìm thấy sự kiện nào trong khoảng thời gian này."
+  },
+  "timeline.aria": "Chọn dòng thời gian",
+  "selected_one": "{{count}} đã chọn",
+  "selected_other": "{{count}} đã chọn",
+  "empty": {
+    "alert": "Không có cảnh báo nào để xem xét",
+    "detection": "Không có phát hiện nào để xem xét",
+    "motion": "Không tìm thấy dữ liệu chuyển động"
+  },
+  "timeline": "Dòng thời gian",
+  "documentTitle": "Xem lại - Frigate",
+  "calendarFilter": {
+    "last24Hours": "24 giờ qua"
+  },
+  "newReviewItems": {
+    "label": "Xem các mục mới cần xem xét",
+    "button": "Các mục mới cần xem xét"
+  },
+  "markAsReviewed": "Đánh dấu là đã xem xét",
+  "markTheseItemsAsReviewed": "Đánh dấu các mục này là đã xem xét"
+}
diff --git a/web/public/locales/vi/views/explore.json b/web/public/locales/vi/views/explore.json
new file mode 100644
index 000000000..99e4a65d5
--- /dev/null
+++ b/web/public/locales/vi/views/explore.json
@@ -0,0 +1,205 @@
+{
+  "objectLifecycle": {
+    "lifecycleItemDesc": {
+      "header": {
+        "zones": "Vùng",
+        "ratio": "Tỷ lệ",
+        "area": "Diện tích"
+      },
+      "gone": "{{label}} đã rời đi",
+      "heard": "{{label}} đã nghe thấy",
+      "external": "{{label}} được phát hiện",
+      "visible": "{{label}} được phát hiện",
+      "entered_zone": "{{label}} đã đi vào {{zones}}",
+      "active": "{{label}} trở nên hoạt động",
+      "stationary": "{{label}} trở nên đứng yên",
+      "attribute": {
+        "faceOrLicense_plate": "Đã phát hiện {{attribute}} cho {{label}}",
+        "other": "{{label}} được nhận dạng là {{attribute}}"
+      }
+    },
+    "carousel": {
+      "previous": "Trang trước",
+      "next": "Trang tiếp theo"
+    },
+    "annotationSettings": {
+      "showAllZones": {
+        "desc": "Luôn hiển thị các vùng trên các khung hình mà đối tượng đã đi vào.",
+        "title": "Hiển thị tất cả các Vùng"
+      },
+      "offset": {
+        "millisecondsToOffset": "Số mili giây để lệch các chú thích phát hiện. <em>Mặc định: 0</em>",
+        "documentation": "Đọc tài liệu ",
+        "desc": "Dữ liệu này đến từ luồng phát hiện của camera nằm ở trên hình ảnh từ luồng ghi hình. Có khả năng hai luồng này không đồng bộ hoàn hảo. Do đó, hộp giới hạn và đoạn ghi hình sẽ không khớp nhau một cách hoàn hảo. Tuy nhiên, trường <code>annotation_offset</code> có thể được sử dụng để điều chỉnh điều này.",
+        "label": "Độ lệch Chú thích",
+        "tips": "MẸO: Hãy tưởng tượng có một clip sự kiện với một người đi từ trái sang phải. Nếu hộp giới hạn trên dòng thời gian sự kiện luôn ở bên trái của người đó thì giá trị nên được giảm xuống. Tương tự, nếu một người đi từ trái sang phải và hộp giới hạn luôn ở phía trước người đó thì giá trị nên được tăng lên.",
+        "toast": {
+          "success": "Độ lệch chú thích cho {{camera}} đã được lưu vào tệp cấu hình. Khởi động lại Frigate để áp dụng các thay đổi của bạn."
+        }
+      },
+      "title": "Cài đặt Chú thích"
+    },
+    "count": "{{first}} trên {{second}}",
+    "title": "Vòng đời Đối tượng",
+    "noImageFound": "Không tìm thấy hình ảnh cho dấu thời gian này.",
+    "createObjectMask": "Tạo Mặt nạ Đối tượng",
+    "adjustAnnotationSettings": "Điều chỉnh cài đặt chú thích",
+    "trackedPoint": "Điểm được theo dõi",
+    "scrollViewTips": "Cuộn để xem những khoảnh khắc quan trọng trong vòng đời của đối tượng này.",
+    "autoTrackingTips": "Vị trí hộp giới hạn sẽ không chính xác đối với camera quay tự động theo dõi."
+  },
+  "details": {
+    "item": {
+      "title": "Chi tiết Mục Xem lại",
+      "desc": "Chi tiết mục xem lại",
+      "button": {
+        "share": "Chia sẻ mục xem lại này",
+        "viewInExplore": "Xem trong Khám phá"
+      },
+      "toast": {
+        "error": {
+          "updatedSublabelFailed": "Không thể cập nhật nhãn phụ: {{errorMessage}}",
+          "updatedLPRFailed": "Không thể cập nhật biển số xe: {{errorMessage}}",
+          "regenerate": "Không thể gọi {{provider}} để lấy mô tả mới: {{errorMessage}}"
+        },
+        "success": {
+          "regenerate": "Một mô tả mới đã được yêu cầu từ {{provider}}. Tùy thuộc vào tốc độ của nhà cung cấp của bạn, mô tả mới có thể mất một chút thời gian để tạo lại.",
+          "updatedLPR": "Cập nhật biển số xe thành công.",
+          "updatedSublabel": "Cập nhật nhãn phụ thành công."
+        }
+      },
+      "tips": {
+        "mismatch_other": "{{count}} đối tượng không khả dụng đã được phát hiện và bao gồm trong mục xem lại này. Những đối tượng đó hoặc không đủ điều kiện là một cảnh báo hoặc phát hiện hoặc đã được dọn dẹp/xóa.",
+        "hasMissingObjects": "Điều chỉnh cấu hình của bạn nếu bạn muốn Frigate lưu các đối tượng được theo dõi cho các nhãn sau: <em>{{objects}}</em>"
+      }
+    },
+    "expandRegenerationMenu": "Mở rộng menu tạo lại",
+    "label": "Nhãn",
+    "editSubLabel": {
+      "title": "Chỉnh sửa nhãn phụ",
+      "desc": "Nhập một nhãn phụ mới cho {{label}} này",
+      "descNoLabel": "Nhập một nhãn phụ mới cho đối tượng được theo dõi này"
+    },
+    "snapshotScore": {
+      "label": "Điểm Ảnh chụp nhanh"
+    },
+    "topScore": {
+      "info": "Điểm cao nhất là điểm trung vị cao nhất cho đối tượng được theo dõi, vì vậy điểm này có thể khác với điểm được hiển thị trên ảnh thu nhỏ của kết quả tìm kiếm.",
+      "label": "Điểm Cao nhất"
+    },
+    "estimatedSpeed": "Tốc độ ước tính",
+    "objects": "Đối tượng",
+    "timestamp": "Dấu thời gian",
+    "button": {
+      "findSimilar": "Tìm đối tượng tương tự",
+      "regenerate": {
+        "title": "Tạo lại",
+        "label": "Tạo lại mô tả đối tượng được theo dõi"
+      }
+    },
+    "description": {
+      "label": "Mô tả",
+      "placeholder": "Mô tả của đối tượng được theo dõi",
+      "aiTips": "Frigate sẽ không yêu cầu mô tả từ nhà cung cấp AI tạo sinh của bạn cho đến khi vòng đời của đối tượng được theo dõi kết thúc."
+    },
+    "tips": {
+      "descriptionSaved": "Lưu mô tả thành công",
+      "saveDescriptionFailed": "Không thể cập nhật mô tả: {{errorMessage}}"
+    },
+    "camera": "Camera",
+    "recognizedLicensePlate": "Biển số xe được nhận dạng",
+    "regenerateFromSnapshot": "Tạo lại từ Ảnh chụp nhanh",
+    "regenerateFromThumbnails": "Tạo lại từ Ảnh thu nhỏ",
+    "zones": "Vùng",
+    "editLPR": {
+      "title": "Chỉnh sửa biển số xe",
+      "desc": "Nhập một giá trị biển số xe mới cho {{label}} này",
+      "descNoLabel": "Nhập một giá trị biển số xe mới cho đối tượng được theo dõi này"
+    }
+  },
+  "itemMenu": {
+    "viewObjectLifecycle": {
+      "label": "Xem vòng đời đối tượng",
+      "aria": "Hiển thị vòng đời đối tượng"
+    },
+    "downloadSnapshot": {
+      "label": "Tải xuống ảnh chụp nhanh",
+      "aria": "Tải xuống ảnh chụp nhanh"
+    },
+    "downloadVideo": {
+      "aria": "Tải xuống video",
+      "label": "Tải xuống video"
+    },
+    "findSimilar": {
+      "label": "Tìm đối tượng tương tự",
+      "aria": "Tìm các đối tượng được theo dõi tương tự"
+    },
+    "submitToPlus": {
+      "aria": "Gửi đến Frigate Plus",
+      "label": "Gửi đến Frigate+"
+    },
+    "viewInHistory": {
+      "label": "Xem trong Lịch sử",
+      "aria": "Xem trong Lịch sử"
+    },
+    "deleteTrackedObject": {
+      "label": "Xóa đối tượng được theo dõi này"
+    }
+  },
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "step": {
+        "descriptionsEmbedded": "Mô tả đã được nhúng: ",
+        "trackedObjectsProcessed": "Đối tượng được theo dõi đã xử lý: ",
+        "thumbnailsEmbedded": "Ảnh thu nhỏ đã được nhúng: "
+      },
+      "finishingShortly": "Sẽ hoàn thành trong giây lát",
+      "context": "Tính năng Khám phá có thể được sử dụng sau khi quá trình tái lập chỉ mục dữ liệu nhúng (embeddings) của đối tượng được theo dõi hoàn tất.",
+      "startingUp": "Đang khởi động…",
+      "estimatedTime": "Thời gian ước tính còn lại:"
+    },
+    "downloadingModels": {
+      "context": "Frigate đang tải xuống các mô hình dữ liệu nhúng cần thiết để hỗ trợ tính năng Tìm kiếm theo Ngữ nghĩa. Quá trình này có thể mất vài phút tùy thuộc vào tốc độ kết nối mạng của bạn.",
+      "setup": {
+        "visionModel": "Mô hình thị giác",
+        "visionModelFeatureExtractor": "Trình trích xuất đặc trưng mô hình thị giác",
+        "textModel": "Mô hình văn bản",
+        "textTokenizer": "Trình mã hóa văn bản"
+      },
+      "tips": {
+        "context": "Bạn có thể muốn tái lập chỉ mục dữ liệu nhúng của các đối tượng được theo dõi sau khi các mô hình được tải xuống.",
+        "documentation": "Đọc tài liệu"
+      },
+      "error": "Đã xảy ra lỗi. Vui lòng kiểm tra nhật ký của Frigate."
+    },
+    "title": "Tính năng Khám phá không khả dụng"
+  },
+  "dialog": {
+    "confirmDelete": {
+      "desc": "Việc xóa đối tượng được theo dõi này sẽ xóa ảnh chụp nhanh, mọi dữ liệu nhúng đã lưu và mọi mục nhập vòng đời đối tượng liên quan. Đoạn ghi hình đã ghi của đối tượng được theo dõi này trong chế độ xem Lịch sử sẽ <em>KHÔNG</em> bị xóa.<br /><br />Bạn có chắc chắn muốn tiếp tục không?",
+      "title": "Xác nhận Xóa"
+    }
+  },
+  "noTrackedObjects": "Không tìm thấy Đối tượng được theo dõi nào",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Đã xóa đối tượng được theo dõi thành công.",
+        "error": "Không thể xóa đối tượng được theo dõi: {{errorMessage}}"
+      }
+    },
+    "tooltip": "Khớp {{type}} ở mức {{confidence}}%"
+  },
+  "exploreMore": "Khám phá thêm các đối tượng {{label}}",
+  "trackedObjectDetails": "Chi tiết Đối tượng được theo dõi",
+  "type": {
+    "details": "chi tiết",
+    "snapshot": "ảnh chụp nhanh",
+    "video": "video",
+    "object_lifecycle": "vòng đời đối tượng"
+  },
+  "fetchingTrackedObjectsFailed": "Lỗi khi tìm nạp các đối tượng được theo dõi: {{errorMessage}}",
+  "documentTitle": "Khám phá - Frigate",
+  "generativeAI": "AI Tạo sinh",
+  "trackedObjectsCount_other": "{{count}} đối tượng được theo dõi "
+}
diff --git a/web/public/locales/vi/views/exports.json b/web/public/locales/vi/views/exports.json
new file mode 100644
index 000000000..6206f5821
--- /dev/null
+++ b/web/public/locales/vi/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "Tìm kiếm",
+  "documentTitle": "Xuất tệp - Frigate",
+  "noExports": "Không tìm thấy tệp xuất nào",
+  "deleteExport": "Xóa tệp xuất",
+  "deleteExport.desc": "Bạn có chắc chắn muốn xóa {{exportName}} không?",
+  "editExport": {
+    "title": "Đổi tên tệp xuất",
+    "desc": "Nhập tên mới cho tệp xuất này.",
+    "saveExport": "Lưu tệp xuất"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Đổi tên tệp xuất thất bại: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/vi/views/faceLibrary.json b/web/public/locales/vi/views/faceLibrary.json
new file mode 100644
index 000000000..e27adcf65
--- /dev/null
+++ b/web/public/locales/vi/views/faceLibrary.json
@@ -0,0 +1,96 @@
+{
+  "selectItem": "Chọn mục {{item}}",
+  "description": {
+    "addFace": "Hướng dẫn thêm bộ sưu tập mới vào Thư viện khuôn mặt.",
+    "invalidName": "Tên không hợp lệ. Tên chỉ được phép chứa chữ cái, số, khoảng trắng, dấu nháy đơn, dấu gạch dưới và dấu gạch ngang.",
+    "placeholder": "Nhập tên cho bộ sưu tập này"
+  },
+  "details": {
+    "person": "Người",
+    "unknown": "Không xác định",
+    "subLabelScore": "Điểm nhãn phụ",
+    "scoreInfo": "Điểm nhãn phụ là điểm số có trọng số cho tất cả các độ tin cậy của khuôn mặt được nhận dạng, vì vậy điểm này có thể khác với điểm hiển thị trên ảnh chụp nhanh.",
+    "timestamp": "Dấu thời gian",
+    "face": "Chi tiết khuôn mặt",
+    "faceDesc": "Chi tiết của đối tượng được theo dõi đã tạo ra khuôn mặt này"
+  },
+  "renameFace": {
+    "title": "Đổi tên khuôn mặt",
+    "desc": "Nhập tên mới cho {{name}}"
+  },
+  "button": {
+    "renameFace": "Đổi tên khuôn mặt",
+    "deleteFaceAttempts": "Xóa khuôn mặt",
+    "addFace": "Thêm khuôn mặt",
+    "deleteFace": "Xóa khuôn mặt",
+    "uploadImage": "Tải lên hình ảnh",
+    "reprocessFace": "Xử lý lại khuôn mặt"
+  },
+  "imageEntry": {
+    "dropActive": "Thả hình ảnh vào đây…",
+    "validation": {
+      "selectImage": "Vui lòng chọn một tệp hình ảnh."
+    },
+    "dropInstructions": "Kéo và thả hình ảnh vào đây, hoặc nhấp để chọn",
+    "maxSize": "Kích thước tối đa: {{size}}MB"
+  },
+  "toast": {
+    "success": {
+      "uploadedImage": "Tải lên hình ảnh thành công.",
+      "trainedFace": "Huấn luyện khuôn mặt thành công.",
+      "updatedFaceScore": "Cập nhật điểm khuôn mặt thành công.",
+      "addFaceLibrary": "{{name}} đã được thêm thành công vào Thư viện Khuôn mặt!",
+      "deletedFace_other": "Đã xóa thành công {{count}} khuôn mặt.",
+      "deletedName_other": "{{count}} khuôn mặt đã được xóa thành công.",
+      "renamedFace": "Đổi tên khuôn mặt thành {{name}} thành công"
+    },
+    "error": {
+      "uploadingImageFailed": "Tải lên hình ảnh thất bại: {{errorMessage}}",
+      "addFaceLibraryFailed": "Đặt tên khuôn mặt thất bại: {{errorMessage}}",
+      "renameFaceFailed": "Đổi tên khuôn mặt thất bại: {{errorMessage}}",
+      "deleteFaceFailed": "Xóa thất bại: {{errorMessage}}",
+      "deleteNameFailed": "Xóa tên thất bại: {{errorMessage}}",
+      "trainFailed": "Huấn luyện thất bại: {{errorMessage}}",
+      "updateFaceScoreFailed": "Cập nhật điểm khuôn mặt thất bại: {{errorMessage}}"
+    }
+  },
+  "collections": "Bộ sưu tập",
+  "steps": {
+    "description": {
+      "uploadFace": "Tải lên một hình ảnh của {{name}} cho thấy khuôn mặt của họ từ góc nhìn trực diện. Hình ảnh không cần phải được cắt chỉ lấy khuôn mặt."
+    },
+    "faceName": "Nhập tên khuôn mặt",
+    "uploadFace": "Tải lên hình ảnh khuôn mặt",
+    "nextSteps": "Các bước tiếp theo"
+  },
+  "deleteFaceLibrary": {
+    "title": "Xóa tên",
+    "desc": "Bạn có chắc chắn muốn xóa bộ sưu tập {{name}} không? Thao tác này sẽ xóa vĩnh viễn tất cả các khuôn mặt liên quan."
+  },
+  "deleteFaceAttempts": {
+    "title": "Xóa khuôn mặt",
+    "desc_other": "Bạn có chắc chắn muốn xóa {{count}} khuôn mặt không? Hành động này không thể hoàn tác."
+  },
+  "readTheDocs": "Đọc tài liệu",
+  "trainFaceAs": "Huấn luyện khuôn mặt với tên:",
+  "trainFace": "Huấn luyện khuôn mặt",
+  "nofaces": "Không có khuôn mặt nào",
+  "createFaceLibrary": {
+    "nextSteps": "Để xây dựng một nền tảng vững chắc:<li>Sử dụng tab Huấn luyện để chọn và huấn luyện trên hình ảnh cho mỗi người được phát hiện.</li><li>Tập trung vào hình ảnh chụp thẳng để có kết quả tốt nhất; tránh huấn luyện các hình ảnh chụp khuôn mặt ở một góc.</li></ul>",
+    "title": "Tạo bộ sưu tập",
+    "desc": "Tạo một bộ sưu tập mới",
+    "new": "Tạo khuôn mặt mới"
+  },
+  "train": {
+    "title": "Huấn luyện",
+    "empty": "Không có nỗ lực nhận dạng khuôn mặt nào gần đây",
+    "aria": "Chọn huấn luyện"
+  },
+  "selectFace": "Chọn khuôn mặt",
+  "pixels": "{{area}}px",
+  "documentTitle": "Thư viện Khuôn mặt - Frigate",
+  "uploadFaceImage": {
+    "title": "Tải lên hình ảnh khuôn mặt",
+    "desc": "Tải lên một hình ảnh để quét khuôn mặt và bao gồm cho {{pageToggle}}"
+  }
+}
diff --git a/web/public/locales/vi/views/live.json b/web/public/locales/vi/views/live.json
new file mode 100644
index 000000000..3e8ab44f6
--- /dev/null
+++ b/web/public/locales/vi/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "Trực tiếp - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Trực tiếp - Frigate",
+  "lowBandwidthMode": "Chế độ băng thông thấp",
+  "twoWayTalk": {
+    "enable": "Bật đàm thoại hai chiều",
+    "disable": "Tắt đàm thoại hai chiều"
+  },
+  "stream": {
+    "lowBandwidth": {
+      "tips": "Chế độ xem trực tiếp đang ở chế độ băng thông thấp do bộ đệm hoặc lỗi luồng.",
+      "resetStream": "Đặt lại luồng"
+    },
+    "playInBackground": {
+      "label": "Phát trong nền",
+      "tips": "\"Bật tùy chọn này để tiếp tục phát khi trình phát bị ẩn."
+    },
+    "title": "Luồng",
+    "audio": {
+      "tips": {
+        "title": "Âm thanh phải được phát ra từ camera của bạn và cấu hình trong go2rtc cho luồng này.",
+        "documentation": "Đọc tài liệu "
+      },
+      "available": "Âm thanh khả dụng cho luồng này",
+      "unavailable": "Âm thanh không khả dụng cho luồng này"
+    },
+    "twoWayTalk": {
+      "tips": "hiết bị của bạn phải hỗ trợ tính năng này và WebRTC phải được cấu hình để đàm thoại hai chiều.",
+      "tips.documentation": "Đọc tài liệu ",
+      "available": "Đàm thoại hai chiều khả dụng cho luồng này",
+      "unavailable": "Đàm thoại hai chiều không khả dụng cho luồng này"
+    }
+  },
+  "editLayout": {
+    "group": {
+      "label": "Chỉnh sửa nhóm Camera"
+    },
+    "label": "Chỉnh sửa bố cục",
+    "exitEdit": "Thoát chế độ chỉnh sửa"
+  },
+  "ptz": {
+    "zoom": {
+      "out": {
+        "label": "Thu nhỏ camera PTZ"
+      },
+      "in": {
+        "label": "Phóng to camera PTZ"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Nhấp vào khung hình để căn giữa camera PTZ"
+      }
+    },
+    "move": {
+      "clickMove": {
+        "label": "Nhấp vào khung hình để căn giữa camera",
+        "enable": "Bật nhấp để di chuyển",
+        "disable": "Tắt nhấp để di chuyển"
+      },
+      "left": {
+        "label": "Di chuyển camera PTZ sang trái"
+      },
+      "up": {
+        "label": "Di chuyển camera PTZ lên"
+      },
+      "down": {
+        "label": "Di chuyển camera PTZ xuống"
+      },
+      "right": {
+        "label": "Di chuyển camera PTZ sang phải"
+      }
+    },
+    "presets": "Các thiết lập sẵn cho camera PTZ"
+  },
+  "manualRecording": {
+    "playInBackground": {
+      "label": "Phát trong nền",
+      "desc": "Bật tùy chọn này để tiếp tục phát khi trình phát bị ẩn."
+    },
+    "end": "Kết thúc ghi hình theo yêu cầu",
+    "failedToStart": "Không thể bắt đầu ghi hình theo yêu cầu.",
+    "started": "Đã bắt đầu ghi hình theo yêu cầu.",
+    "ended": "Đã kết thúc ghi hình theo yêu cầu.",
+    "title": "Ghi hình theo yêu cầu",
+    "tips": "Bắt đầu sự kiện ghi hình thủ công dựa trên cài đặt lưu trữ của camera này.",
+    "showStats": {
+      "label": "Hiện thống kê",
+      "desc": "Bật tùy chọn này để hiển thị thống kê luồng trên khung hình."
+    },
+    "debugView": "Chế độ gỡ lỗi",
+    "start": "Bắt đầu ghi hình theo yêu cầu",
+    "recordDisabledTips": "Vì ghi hình đã bị vô hiệu hóa hoặc bị giới hạn trong cấu hình của camera này, chỉ ảnh chụp sẽ được lưu.",
+    "failedToEnd": "Không thể kết thúc ghi hình theo yêu cầu."
+  },
+  "cameraAudio": {
+    "enable": "Bật âm thanh Camera",
+    "disable": "Tắt âm thanh Camera"
+  },
+  "camera": {
+    "enable": "Bật camera",
+    "disable": "Tắt camera"
+  },
+  "muteCameras": {
+    "enable": "Tắt tiếng tất cả Camera",
+    "disable": "Bật tiếng tất cả Camera"
+  },
+  "detect": {
+    "enable": "Bật phát hiện",
+    "disable": "Tắt phát hiện"
+  },
+  "recording": {
+    "enable": "Bật ghi hình",
+    "disable": "Tắt ghi hình"
+  },
+  "snapshots": {
+    "enable": "Bật ảnh chụp",
+    "disable": "Tắt ảnh chụp"
+  },
+  "audioDetect": {
+    "enable": "Bật phát hiện âm thanh",
+    "disable": "Tắt phát hiện âm thanh"
+  },
+  "autotracking": {
+    "enable": "Bật tự động theo dõi",
+    "disable": "Tắt tự động theo dõi"
+  },
+  "streamStats": {
+    "enable": "Hiện thống kê luồng",
+    "disable": "Ẩn thống kê luồng"
+  },
+  "streamingSettings": "Cài đặt truyền phát",
+  "notifications": "Thông báo",
+  "audio": "Âm thanh",
+  "suspend": {
+    "forTime": "Tạm dừng trong: "
+  },
+  "cameraSettings": {
+    "title": "Cài đặt {{camera}}",
+    "cameraEnabled": "Camera đã bật",
+    "objectDetection": "Phát hiện đối tượng",
+    "recording": "Ghi hình",
+    "snapshots": "Ảnh chụp",
+    "audioDetection": "Phát hiện âm thanh",
+    "autotracking": "Tự động theo dõi"
+  },
+  "history": {
+    "label": "Hiện cảnh quay lịch sử"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "Tất cả",
+      "motion": "Chuyển động",
+      "active_objects": "Đối tượng hoạt động"
+    },
+    "notAllTips": "Cấu hình giữ lại ghi hình {{source}} của bạn được đặt là <code>mode: {{effectiveRetainMode}}</code>, vì vậy lần ghi hình theo yêu cầu này chỉ giữ lại các đoạn có {{effectiveRetainModeName}}."
+  }
+}
diff --git a/web/public/locales/vi/views/recording.json b/web/public/locales/vi/views/recording.json
new file mode 100644
index 000000000..de52f8b7d
--- /dev/null
+++ b/web/public/locales/vi/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "Lọc",
+  "export": "Xuất",
+  "calendar": "Lịch",
+  "filters": "Bộ lọc",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Thời gian chọn không hợp lệ",
+      "endTimeMustAfterStartTime": "Thời gian kết thúc phải sau thời gian bắt đầu"
+    }
+  }
+}
diff --git a/web/public/locales/vi/views/search.json b/web/public/locales/vi/views/search.json
new file mode 100644
index 000000000..d95cd175b
--- /dev/null
+++ b/web/public/locales/vi/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "Tìm kiếm",
+  "savedSearches": "Tìm kiếm đã lưu",
+  "searchFor": "Tìm kiếm {{inputValue}}",
+  "button": {
+    "clear": "Xóa tìm kiếm",
+    "save": "Lưu tìm kiếm",
+    "delete": "Xóa tìm kiếm đã lưu",
+    "filterInformation": "Thông tin bộ lọc",
+    "filterActive": "Bộ lọc đang hoạt động"
+  },
+  "filter": {
+    "tips": {
+      "desc": {
+        "step2": "Chọn một giá trị từ các gợi ý hoặc tự nhập.",
+        "step1": "Nhập tên khóa bộ lọc theo sau là dấu hai chấm (ví dụ: \"cameras:\").",
+        "step3": "Sử dụng nhiều bộ lọc bằng cách thêm chúng nối tiếp nhau, cách nhau bằng dấu cách.",
+        "step5": "Bộ lọc phạm vi thời gian sử dụng định dạng {{exampleTime}}.",
+        "exampleLabel": "Ví dụ:",
+        "step6": "Xóa bộ lọc bằng cách nhấp vào dấu 'x' bên cạnh chúng..",
+        "step4": "Bộ lọc ngày (before: và after:) sử dụng định dạng {{DateFormat}}.",
+        "text": "Bộ lọc giúp bạn thu hẹp kết quả tìm kiếm. Dưới đây là cách sử dụng chúng trong trường nhập liệu:"
+      },
+      "title": "Cách sử dụng bộ lọc văn bản"
+    },
+    "header": {
+      "activeFilters": "Bộ lọc đang hoạt động",
+      "currentFilterType": "Giá trị bộ lọc",
+      "noFilters": "Bộ lọc"
+    },
+    "label": {
+      "has_clip": "Có clip",
+      "min_score": "Điểm tối thiểu",
+      "has_snapshot": "Có ảnh chụp nhanh",
+      "max_score": "Điểm tối đa",
+      "search_type": "Loại tìm kiếm",
+      "after": "Sau",
+      "cameras": "Camera",
+      "labels": "Nhãn",
+      "zones": "Khu vực",
+      "sub_labels": "Nhãn phụ",
+      "time_range": "Phạm vi thời gian",
+      "before": "Trước",
+      "min_speed": "Tốc độ tối thiểu",
+      "max_speed": "Tốc độ tối đa",
+      "recognized_license_plate": "Biển số xe được nhận dạng"
+    },
+    "toast": {
+      "error": {
+        "afterDatebeEarlierBefore": "Ngày 'Sau' phải trước ngày 'Trước'.",
+        "beforeDateBeLaterAfter": "Ngày 'Trước' phải sau ngày 'Sau'.",
+        "minScoreMustBeLessOrEqualMaxScore": "'Điểm tối thiểu' phải nhỏ hơn hoặc bằng 'Điểm tối đa'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "'Điểm tối đa' phải lớn hơn hoặc bằng 'Điểm tối thiểu.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'Tốc độ tối thiểu' phải nhỏ hơn hoặc bằng 'Tốc độ tối đa'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'Tốc độ tối đa' phải lớn hơn hoặc bằng 'Tốc độ tối thiểu'."
+      }
+    },
+    "searchType": {
+      "thumbnail": "Hình thu nhỏ",
+      "description": "Mô tả"
+    }
+  },
+  "similaritySearch": {
+    "title": "Tìm kiếm tương đồng",
+    "clear": "Xóa tìm kiếm tương đồng",
+    "active": "Tìm kiếm tương đồng đang hoạt động"
+  },
+  "placeholder": {
+    "search": "Tìm kiếm…"
+  },
+  "trackedObjectId": "ID đối tượng được theo dõi"
+}
diff --git a/web/public/locales/vi/views/settings.json b/web/public/locales/vi/views/settings.json
new file mode 100644
index 000000000..4f0972425
--- /dev/null
+++ b/web/public/locales/vi/views/settings.json
@@ -0,0 +1,616 @@
+{
+  "documentTitle": {
+    "default": "Cài đặt - Frigate",
+    "authentication": "Cài đặt Xác thực - Frigate",
+    "camera": "Cài đặt Camera - Frigate",
+    "enrichments": "Cài đặt Làm giàu Dữ liệu - Frigate",
+    "notifications": "Cài đặt Thông báo - Frigate",
+    "masksAndZones": "Trình chỉnh sửa Mặt nạ và Vùng - Frigate",
+    "object": "Gỡ lỗi - Frigate",
+    "general": "Cài đặt Chung - Frigate",
+    "frigatePlus": "Cài đặt Frigate+ - Frigate",
+    "motionTuner": "Bộ tinh chỉnh Chuyển động - Frigate"
+  },
+  "notification": {
+    "toast": {
+      "error": {
+        "registerFailed": "Không thể lưu đăng ký thông báo."
+      },
+      "success": {
+        "settingSaved": "Cài đặt thông báo đã được lưu.",
+        "registered": "Đã đăng ký nhận thông báo thành công. Cần khởi động lại Frigate trước khi có thể gửi bất kỳ thông báo nào (kể cả thông báo thử)."
+      }
+    },
+    "unsavedChanges": "Các thay đổi Thông báo chưa được lưu",
+    "registerDevice": "Đăng ký Thiết bị này",
+    "unregisterDevice": "Hủy đăng ký Thiết bị này",
+    "unsavedRegistrations": "Các đăng ký Thông báo chưa được lưu",
+    "suspended": "Thông báo bị đình chỉ {{time}}",
+    "cancelSuspension": "Hủy tạm dừng",
+    "email": {
+      "desc": "Một email hợp lệ là bắt buộc và sẽ được sử dụng để thông báo cho bạn nếu có bất kỳ vấn đề nào với dịch vụ đẩy.",
+      "placeholder": "ví dụ: example@email.com",
+      "title": "Email"
+    },
+    "cameras": {
+      "noCameras": "Không có camera nào",
+      "title": "Camera",
+      "desc": "Chọn camera để bật thông báo."
+    },
+    "deviceSpecific": "Cài đặt dành riêng cho thiết bị",
+    "sendTestNotification": "Gửi một thông báo thử",
+    "active": "Thông báo đang hoạt động",
+    "suspendTime": {
+      "24hours": "Tạm dừng trong 24 giờ",
+      "untilRestart": "Tạm dừng cho đến khi khởi động lại",
+      "30minutes": "Tạm dừng trong 30 phút",
+      "1hour": "Tạm dừng trong 1 giờ",
+      "suspend": "Tạm dừng",
+      "12hours": "Tạm dừng trong 12 giờ",
+      "5minutes": "Tạm dừng trong 5 phút",
+      "10minutes": "Tạm dừng trong 10 phút"
+    },
+    "notificationSettings": {
+      "desc": "Frigate có thể gửi thông báo đẩy tự nhiên đến thiết bị của bạn khi nó đang chạy trong trình duyệt hoặc được cài đặt dưới dạng PWA.",
+      "title": "Cài đặt Thông báo",
+      "documentation": "Đọc tài liệu"
+    },
+    "notificationUnavailable": {
+      "desc": "Thông báo đẩy web yêu cầu một ngữ cảnh an toàn (<code>https://…</code>). Đây là một hạn chế của trình duyệt. Truy cập Frigate một cách an toàn để sử dụng thông báo.",
+      "title": "Thông báo không khả dụng",
+      "documentation": "Đọc tài liệu"
+    },
+    "globalSettings": {
+      "desc": "Tạm thời đình chỉ thông báo cho các camera cụ thể trên tất cả các thiết bị đã đăng ký.",
+      "title": "Cài đặt Chung"
+    },
+    "title": "Thông báo"
+  },
+  "frigatePlus": {
+    "title": "Cài đặt Frigate+",
+    "apiKey": {
+      "title": "Khóa API Frigate+",
+      "validated": "Khóa API Frigate+ đã được phát hiện và xác thực",
+      "notValidated": "Khóa API Frigate+ không được phát hiện hoặc chưa được xác thực",
+      "desc": "Khóa API Frigate+ cho phép tích hợp với dịch vụ Frigate+.",
+      "plusLink": "Đọc thêm về Frigate+"
+    },
+    "snapshotConfig": {
+      "table": {
+        "camera": "Camera",
+        "cleanCopySnapshots": "Ảnh chụp nhanh <code>clean_copy</code>",
+        "snapshots": "Ảnh chụp nhanh"
+      },
+      "desc": "Việc gửi đến Frigate+ yêu cầu cả ảnh chụp nhanh và ảnh chụp nhanh <code>clean_copy</code> phải được bật trong cấu hình của bạn.",
+      "cleanCopyWarning": "Một số camera đã bật ảnh chụp nhanh nhưng đã tắt bản sao sạch. Bạn cần bật <code>clean_copy</code> trong cấu hình ảnh chụp nhanh của mình để có thể gửi hình ảnh từ các camera này đến Frigate+.",
+      "title": "Cấu hình Ảnh chụp nhanh",
+      "documentation": "Đọc tài liệu"
+    },
+    "modelInfo": {
+      "error": "Không thể tải thông tin mô hình",
+      "plusModelType": {
+        "userModel": "Đã tinh chỉnh",
+        "baseModel": "Mô hình Cơ sở"
+      },
+      "supportedDetectors": "Các bộ phát hiện được hỗ trợ",
+      "title": "Thông tin Mô hình",
+      "baseModel": "Mô hình Cơ sở",
+      "availableModels": "Các mô hình có sẵn",
+      "loadingAvailableModels": "Đang tải các mô hình có sẵn…",
+      "modelSelect": "Các mô hình có sẵn của bạn trên Frigate+ có thể được chọn ở đây. Lưu ý rằng chỉ những mô hình tương thích với cấu hình bộ phát hiện hiện tại của bạn mới có thể được chọn.",
+      "cameras": "Camera",
+      "loading": "Đang tải thông tin mô hình…",
+      "modelType": "Loại Mô hình",
+      "trainDate": "Ngày Huấn luyện"
+    },
+    "unsavedChanges": "Các thay đổi cài đặt Frigate+ chưa được lưu",
+    "toast": {
+      "success": "Cài đặt Frigate+ đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi.",
+      "error": "Không thể lưu các thay đổi cấu hình: {{errorMessage}}"
+    },
+    "restart_required": "Yêu cầu khởi động lại (mô hình Frigate+ đã thay đổi)"
+  },
+  "camera": {
+    "title": "Cài đặt Camera",
+    "review": {
+      "alerts": "Cảnh báo ",
+      "detections": "Phát hiện ",
+      "title": "Xem lại",
+      "desc": "Tạm thời bật/tắt cảnh báo và phát hiện cho camera này cho đến khi Frigate khởi động lại. Khi bị vô hiệu hóa, sẽ không có mục xem lại mới nào được tạo ra. "
+    },
+    "reviewClassification": {
+      "title": "Phân loại mục Xem lại",
+      "unsavedChanges": "Các thay đổi cài đặt Phân loại mục Xem lại chưa được lưu cho {{camera}}",
+      "readTheDocumentation": "Đọc tài liệu",
+      "objectDetectionsTips": "Tất cả các đối tượng {{detectionsLabels}} không được phân loại trên {{cameraName}} sẽ được hiển thị dưới dạng Phát hiện bất kể chúng ở trong vùng nào.",
+      "desc": "Frigate phân loại các mục xem lại thành Cảnh báo và Phát hiện. Theo mặc định, tất cả các đối tượng <em>người</em> và <em>ô tô</em> được coi là Cảnh báo. Bạn có thể tinh chỉnh việc phân loại các mục xem lại của mình bằng cách định cấu hình các vùng bắt buộc cho chúng.",
+      "zoneObjectDetectionsTips": {
+        "text": "Tất cả các đối tượng {{detectionsLabels}} không được phân loại trong vùng {{zone}} trên {{cameraName}} sẽ được hiển thị dưới dạng Phát hiện.",
+        "notSelectDetections": "Tất cả các đối tượng {{detectionsLabels}} được phát hiện trong vùng {{zone}} trên {{cameraName}} không được phân loại là Cảnh báo sẽ được hiển thị dưới dạng Phát hiện bất kể chúng ở trong vùng nào.",
+        "regardlessOfZoneObjectDetectionsTips": "Tất cả các đối tượng {{detectionsLabels}} không được phân loại trên {{cameraName}} sẽ được hiển thị dưới dạng Phát hiện bất kể chúng ở trong vùng nào."
+      },
+      "toast": {
+        "success": "Cấu hình Phân loại mục Xem lại đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+      },
+      "limitDetections": "Giới hạn phát hiện trong các vùng cụ thể",
+      "selectDetectionsZones": "Chọn vùng cho Phát hiện",
+      "zoneObjectAlertsTips": "Tất cả các đối tượng {{alertsLabels}} được phát hiện trong vùng {{zone}} trên {{cameraName}} sẽ được hiển thị dưới dạng Cảnh báo.",
+      "noDefinedZones": "Không có vùng nào được xác định cho camera này.",
+      "objectAlertsTips": "Tất cả các đối tượng {{alertsLabels}} trên {{cameraName}} sẽ được hiển thị dưới dạng Cảnh báo.",
+      "selectAlertsZones": "Chọn vùng cho Cảnh báo"
+    },
+    "streams": {
+      "title": "Luồng phát",
+      "desc": "Tạm thời vô hiệu hóa một camera cho đến khi Frigate khởi động lại. Vô hiệu hóa một camera sẽ dừng hoàn toàn quá trình xử lý các luồng của camera này của Frigate. Việc phát hiện, ghi hình và gỡ lỗi sẽ không khả dụng.<br /> <em>Lưu ý: Điều này không vô hiệu hóa các luồng phát lại của go2rtc.</em>"
+    }
+  },
+  "masksAndZones": {
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustNotBeSameWithCamera": "Tên vùng không được trùng với tên camera.",
+          "mustBeAtLeastTwoCharacters": "Tên vùng phải có ít nhất 2 ký tự.",
+          "mustNotContainPeriod": "Tên vùng không được chứa dấu chấm.",
+          "alreadyExists": "Một vùng với tên này đã tồn tại cho camera này.",
+          "hasIllegalCharacter": "Tên vùng chứa các ký tự không hợp lệ."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Quán tính phải lớn hơn 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Thời gian lảng vảng phải lớn hơn hoặc bằng 0."
+        }
+      },
+      "polygonDrawing": {
+        "delete": {
+          "desc": "Bạn có chắc muốn xóa {{type}} <em>{{name}}</em> không?",
+          "title": "Xác nhận Xóa",
+          "success": "{{name}} đã được xóa."
+        },
+        "removeLastPoint": "Xóa điểm cuối",
+        "snapPoints": {
+          "true": "Bắt dính điểm",
+          "false": "Không bắt dính điểm"
+        },
+        "reset": {
+          "label": "Xóa tất cả các điểm"
+        },
+        "error": {
+          "mustBeFinished": "Việc vẽ đa giác phải được hoàn thành trước khi lưu."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Ngưỡng tốc độ phải lớn hơn hoặc bằng 0.1."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Khoảng cách phải lớn hơn hoặc bằng 0.1.",
+          "mustBeFilled": "Tất cả các trường khoảng cách phải được điền để sử dụng ước tính tốc độ."
+        }
+      }
+    },
+    "objectMasks": {
+      "add": "Thêm Mặt nạ đối tượng",
+      "edit": "Chỉnh sửa Mặt nạ đối tượng",
+      "context": "Mặt nạ lọc đối tượng được sử dụng để lọc ra các kết quả dương tính giả cho một loại đối tượng nhất định dựa trên vị trí.",
+      "objects": {
+        "allObjectTypes": "Tất cả các loại đối tượng",
+        "title": "Đối tượng",
+        "desc": "Loại đối tượng áp dụng cho mặt nạ đối tượng này."
+      },
+      "documentTitle": "Chỉnh sửa Mặt nạ đối tượng - Frigate",
+      "desc": {
+        "title": "Mặt nạ lọc đối tượng được sử dụng để lọc ra các kết quả dương tính giả cho một loại đối tượng nhất định dựa trên vị trí.",
+        "documentation": "Tài liệu"
+      },
+      "point_other": "{{count}} điểm",
+      "toast": {
+        "success": {
+          "noName": "Mặt nạ đối tượng đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi.",
+          "title": "{{polygonName}} đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+        }
+      },
+      "label": "Mặt nạ đối tượng",
+      "clickDrawPolygon": "Nhấp để vẽ một đa giác trên hình ảnh."
+    },
+    "zones": {
+      "speedEstimation": {
+        "docs": "Đọc tài liệu",
+        "desc": "Bật ước tính tốc độ cho các đối tượng trong vùng này. Vùng phải có chính xác 4 điểm.",
+        "title": "Ước tính Tốc độ",
+        "lineADistance": "Khoảng cách đường A ({{unit}})",
+        "lineBDistance": "Khoảng cách đường B ({{unit}})",
+        "lineCDistance": "Khoảng cách đường C ({{unit}})",
+        "lineDDistance": "Khoảng cách đường D ({{unit}})"
+      },
+      "desc": {
+        "documentation": "Tài liệu",
+        "title": "Các vùng cho phép bạn xác định một khu vực cụ thể của khung hình để bạn có thể xác định xem một đối tượng có ở trong một khu vực cụ thể hay không."
+      },
+      "add": "Thêm Vùng",
+      "allObjects": "Tất cả Đối tượng",
+      "speedThreshold": {
+        "toast": {
+          "error": {
+            "loiteringTimeError": "Các vùng có thời gian lảng vảng lớn hơn 0 không nên được sử dụng với ước tính tốc độ.",
+            "pointLengthError": "Ước tính tốc độ đã bị vô hiệu hóa cho vùng này. Các vùng có ước tính tốc độ phải có chính xác 4 điểm."
+          }
+        },
+        "desc": "Chỉ định tốc độ tối thiểu để các đối tượng được coi là ở trong vùng này.",
+        "title": "Ngưỡng Tốc độ ({{unit}})"
+      },
+      "loiteringTime": {
+        "title": "Thời gian lảng vảng",
+        "desc": "Đặt một khoảng thời gian tối thiểu tính bằng giây mà đối tượng phải ở trong vùng để kích hoạt nó. <em>Mặc định: 0</em>"
+      },
+      "point_other": "{{count}} điểm",
+      "clickDrawPolygon": "Nhấp để vẽ một đa giác trên hình ảnh.",
+      "objects": {
+        "title": "Đối tượng",
+        "desc": "Danh sách các đối tượng áp dụng cho vùng này."
+      },
+      "toast": {
+        "success": "Vùng ({{zoneName}}) đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+      },
+      "name": {
+        "inputPlaceHolder": "Nhập tên…",
+        "tips": "Tên phải có ít nhất 2 ký tự và không được trùng với tên của camera hoặc một vùng khác.",
+        "title": "Tên"
+      },
+      "edit": "Chỉnh sửa Vùng",
+      "label": "Vùng",
+      "documentTitle": "Chỉnh sửa Vùng - Frigate",
+      "inertia": {
+        "title": "Quán tính",
+        "desc": "Chỉ định số khung hình mà một đối tượng phải ở trong một vùng trước khi được coi là ở trong vùng. <em>Mặc định: 3</em>"
+      }
+    },
+    "motionMasks": {
+      "documentTitle": "Chỉnh sửa Mặt nạ chuyển động - Frigate",
+      "desc": {
+        "documentation": "Tài liệu",
+        "title": "Mặt nạ chuyển động được sử dụng để ngăn các loại chuyển động không mong muốn kích hoạt phát hiện. Việc che quá nhiều sẽ khiến việc theo dõi đối tượng trở nên khó khăn hơn."
+      },
+      "point_other": "{{count}} điểm",
+      "polygonAreaTooLarge": {
+        "documentation": "Đọc tài liệu",
+        "tips": "Mặt nạ chuyển động không ngăn chặn việc phát hiện đối tượng. Bạn nên sử dụng một vùng bắt buộc thay thế.",
+        "title": "Mặt nạ chuyển động đang che {{polygonArea}}% khung hình của camera. Không khuyến khích sử dụng mặt nạ chuyển động lớn."
+      },
+      "add": "Mặt nạ chuyển động mới",
+      "edit": "Chỉnh sửa Mặt nạ chuyển động",
+      "context": {
+        "documentation": "Đọc tài liệu",
+        "title": "Mặt nạ chuyển động được sử dụng để ngăn chặn các loại chuyển động không mong muốn kích hoạt việc phát hiện (ví dụ: cành cây, dấu thời gian của camera). Mặt nạ chuyển động nên được sử dụng <em>rất hạn chế</em>, việc che quá nhiều sẽ làm cho việc theo dõi đối tượng trở nên khó khăn hơn."
+      },
+      "label": "Mặt nạ chuyển động",
+      "clickDrawPolygon": "Nhấp để vẽ một đa giác trên hình ảnh.",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi.",
+          "noName": "Mặt nạ chuyển động đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+        }
+      }
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "Đã sao chép tọa độ của {{polyName}} vào clipboard."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Không thể sao chép tọa độ vào clipboard."
+      }
+    },
+    "restart_required": "Yêu cầu khởi động lại (mặt nạ/vùng đã thay đổi)",
+    "motionMaskLabel": "Mặt nạ chuyển động {{number}}",
+    "objectMaskLabel": "Mặt nạ đối tượng {{number}} ({{label}})",
+    "filter": {
+      "all": "Tất cả Mặt nạ và Vùng"
+    }
+  },
+  "motionDetectionTuner": {
+    "unsavedChanges": "Các thay đổi Tinh chỉnh Chuyển động chưa được lưu ({{camera}})",
+    "Threshold": {
+      "title": "Ngưỡng",
+      "desc": "Giá trị ngưỡng quy định mức độ thay đổi độ sáng của một pixel cần thiết để được coi là chuyển động. <em>Mặc định: 30</em>"
+    },
+    "contourArea": {
+      "title": "Diện tích đường viền",
+      "desc": "Giá trị diện tích đường viền được sử dụng để quyết định nhóm pixel nào đã thay đổi đủ điều kiện là chuyển động. <em>Mặc định: 10</em>"
+    },
+    "title": "Bộ tinh chỉnh Phát hiện Chuyển động",
+    "desc": {
+      "title": "Frigate sử dụng phát hiện chuyển động như một bước kiểm tra đầu tiên để xem có điều gì đang xảy ra trong khung hình đáng để kiểm tra bằng phát hiện đối tượng hay không.",
+      "documentation": "Đọc Hướng dẫn Tinh chỉnh Chuyển động"
+    },
+    "improveContrast": {
+      "desc": "Cải thiện độ tương phản cho các cảnh tối hơn. <em>Mặc định: BẬT</em>",
+      "title": "Cải thiện độ tương phản"
+    },
+    "toast": {
+      "success": "Cài đặt chuyển động đã được lưu."
+    }
+  },
+  "debug": {
+    "objectShapeFilterDrawing": {
+      "title": "Vẽ bộ lọc hình dạng đối tượng",
+      "desc": "Vẽ một hình chữ nhật trên hình ảnh để xem chi tiết diện tích và tỷ lệ",
+      "document": "Đọc tài liệu ",
+      "score": "Điểm",
+      "tips": "Bật tùy chọn này để vẽ một hình chữ nhật trên hình ảnh của camera để hiển thị diện tích và tỷ lệ của nó. Các giá trị này sau đó có thể được sử dụng để đặt các tham số bộ lọc hình dạng đối tượng trong cấu hình của bạn.",
+      "ratio": "Tỷ lệ",
+      "area": "Diện tích"
+    },
+    "detectorDesc": "Frigate sử dụng các bộ phát hiện của bạn ({{detectors}}) để phát hiện các đối tượng trong luồng video của camera.",
+    "boundingBoxes": {
+      "colors": {
+        "label": "Màu sắc Hộp giới hạn Đối tượng",
+        "info": "<li>Khi khởi động, các màu khác nhau sẽ được gán cho mỗi nhãn đối tượng</li><li>Một đường mỏng màu xanh đậm cho biết đối tượng không được phát hiện tại thời điểm hiện tại</li><li>Một đường mỏng màu xám cho biết đối tượng được phát hiện là đang đứng yên</li><li>Một đường dày cho biết đối tượng là chủ thể của việc theo dõi tự động (khi được bật)</li>"
+      },
+      "desc": "Hiển thị các hộp giới hạn xung quanh các đối tượng được theo dõi",
+      "title": "Hộp giới hạn"
+    },
+    "desc": "Chế độ xem gỡ lỗi hiển thị chế độ xem thời gian thực của các đối tượng được theo dõi và các thống kê của chúng. Danh sách đối tượng hiển thị một bản tóm tắt có độ trễ về các đối tượng được phát hiện.",
+    "debugging": "Gỡ lỗi",
+    "timestamp": {
+      "desc": "Chồng một dấu thời gian lên hình ảnh",
+      "title": "Dấu thời gian"
+    },
+    "regions": {
+      "title": "Khu vực",
+      "tips": "<p><strong>Hộp khu vực</strong></p><br><p>Các hộp màu xanh lá cây sáng sẽ được chồng lên các khu vực quan tâm trong khung hình đang được gửi đến bộ phát hiện đối tượng.</p>",
+      "desc": "Hiển thị một hộp của khu vực quan tâm được gửi đến bộ phát hiện đối tượng"
+    },
+    "zones": {
+      "title": "Vùng",
+      "desc": "Hiển thị đường viền của bất kỳ vùng nào đã được xác định"
+    },
+    "mask": {
+      "title": "Mặt nạ chuyển động",
+      "desc": "Hiển thị các đa giác mặt nạ chuyển động"
+    },
+    "title": "Gỡ lỗi",
+    "objectList": "Danh sách đối tượng",
+    "noObjects": "Không có đối tượng",
+    "motion": {
+      "desc": "Hiển thị các hộp xung quanh các khu vực phát hiện có chuyển động",
+      "tips": "<p><strong>Hộp chuyển động</strong></p><br><p>Các hộp màu đỏ sẽ được chồng lên các khu vực của khung hình nơi chuyển động đang được phát hiện</p>",
+      "title": "Hộp chuyển động"
+    }
+  },
+  "users": {
+    "title": "Người dùng",
+    "management": {
+      "title": "Quản lý Người dùng",
+      "desc": "Quản lý các tài khoản người dùng của phiên bản Frigate này."
+    },
+    "table": {
+      "noUsers": "Không tìm thấy người dùng nào.",
+      "username": "Tên người dùng",
+      "actions": "Hành động",
+      "role": "Vai trò",
+      "changeRole": "Thay đổi vai trò người dùng",
+      "password": "Mật khẩu",
+      "deleteUser": "Xóa người dùng"
+    },
+    "dialog": {
+      "form": {
+        "password": {
+          "strength": {
+            "strong": "Mạnh",
+            "title": "Độ mạnh mật khẩu: ",
+            "medium": "Trung bình",
+            "veryStrong": "Rất mạnh",
+            "weak": "Yếu"
+          },
+          "title": "Mật khẩu",
+          "placeholder": "Nhập mật khẩu",
+          "confirm": {
+            "title": "Xác nhận Mật khẩu",
+            "placeholder": "Xác nhận Mật khẩu"
+          },
+          "notMatch": "Mật khẩu không trùng khớp",
+          "match": "Mật khẩu trùng khớp"
+        },
+        "newPassword": {
+          "placeholder": "Nhập mật khẩu mới",
+          "confirm": {
+            "placeholder": "Nhập lại mật khẩu mới"
+          },
+          "title": "Mật khẩu mới"
+        },
+        "usernameIsRequired": "Tên người dùng là bắt buộc",
+        "user": {
+          "title": "Tên người dùng",
+          "desc": "Chỉ cho phép chữ cái, số, dấu chấm và dấu gạch dưới.",
+          "placeholder": "Nhập tên người dùng"
+        },
+        "passwordIsRequired": "Mật khẩu là bắt buộc"
+      },
+      "createUser": {
+        "desc": "Thêm một tài khoản người dùng mới và chỉ định một vai trò để truy cập vào các khu vực của giao diện người dùng Frigate.",
+        "usernameOnlyInclude": "Tên người dùng chỉ có thể bao gồm chữ cái, số, . hoặc _",
+        "title": "Tạo Người dùng Mới",
+        "confirmPassword": "Vui lòng xác nhận mật khẩu của bạn"
+      },
+      "deleteUser": {
+        "desc": "Hành động này không thể được hoàn tác. Điều này sẽ xóa vĩnh viễn tài khoản người dùng và xóa tất cả dữ liệu liên quan.",
+        "warn": "Bạn có chắc muốn xóa <strong>{{username}}</strong> không?",
+        "title": "Xóa Người dùng"
+      },
+      "passwordSetting": {
+        "setPassword": "Đặt Mật khẩu",
+        "updatePassword": "Cập nhật Mật khẩu cho {{username}}",
+        "cannotBeEmpty": "Mật khẩu không được để trống",
+        "desc": "Tạo một mật khẩu mạnh để bảo mật tài khoản này.",
+        "doNotMatch": "Mật khẩu không khớp"
+      },
+      "changeRole": {
+        "title": "Thay đổi Vai trò Người dùng",
+        "roleInfo": {
+          "intro": "Chọn vai trò thích hợp cho người dùng này:",
+          "admin": "Quản trị viên",
+          "adminDesc": "Toàn quyền truy cập vào tất cả các tính năng.",
+          "viewer": "Người xem",
+          "viewerDesc": "Chỉ giới hạn ở các bảng điều khiển Trực tiếp, Xem lại, Khám phá và Xuất file."
+        },
+        "select": "Chọn một vai trò",
+        "desc": "Cập nhật quyền cho <strong>{{username}}</strong>"
+      }
+    },
+    "addUser": "Thêm Người dùng",
+    "updatePassword": "Cập nhật Mật khẩu",
+    "toast": {
+      "error": {
+        "setPasswordFailed": "Không thể lưu mật khẩu: {{errorMessage}}",
+        "createUserFailed": "Không thể tạo người dùng: {{errorMessage}}",
+        "deleteUserFailed": "Không thể xóa người dùng: {{errorMessage}}",
+        "roleUpdateFailed": "Không thể cập nhật vai trò: {{errorMessage}}"
+      },
+      "success": {
+        "roleUpdated": "Vai trò đã được cập nhật cho {{user}}",
+        "createUser": "Người dùng {{user}} đã được tạo thành công",
+        "deleteUser": "Người dùng {{user}} đã được xóa thành công",
+        "updatePassword": "Mật khẩu đã được cập nhật thành công."
+      }
+    }
+  },
+  "general": {
+    "calendar": {
+      "firstWeekday": {
+        "sunday": "Chủ nhật",
+        "monday": "Thứ hai",
+        "label": "Ngày đầu tuần",
+        "desc": "Ngày bắt đầu của các tuần trong lịch xem lại."
+      },
+      "title": "Lịch"
+    },
+    "storedLayouts": {
+      "desc": "Bố cục của các camera trong một nhóm camera có thể được kéo/thay đổi kích thước. Các vị trí được lưu trữ trong bộ nhớ cục bộ của trình duyệt của bạn.",
+      "title": "Bố cục đã lưu",
+      "clearAll": "Xóa tất cả Bố cục"
+    },
+    "cameraGroupStreaming": {
+      "title": "Cài đặt Phát luồng Nhóm Camera",
+      "desc": "Cài đặt phát luồng cho mỗi nhóm camera được lưu trữ trong bộ nhớ cục bộ của trình duyệt của bạn.",
+      "clearAll": "Xóa tất cả Cài đặt Phát luồng"
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "Đã xóa bố cục đã lưu cho {{cameraName}}",
+        "clearStreamingSettings": "Đã xóa cài đặt phát luồng cho tất cả các nhóm camera."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "Không thể xóa bố cục đã lưu: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "Không thể xóa cài đặt phát luồng: {{errorMessage}}"
+      }
+    },
+    "liveDashboard": {
+      "automaticLiveView": {
+        "desc": "Tự động chuyển sang chế độ xem trực tiếp của camera khi phát hiện hoạt động. Việc tắt tùy chọn này sẽ khiến hình ảnh tĩnh của camera trên bảng điều khiển Trực tiếp chỉ cập nhật mỗi phút một lần.",
+        "label": "Chế độ xem trực tiếp tự động"
+      },
+      "playAlertVideos": {
+        "desc": "Theo mặc định, các cảnh báo gần đây trên bảng điều khiển Trực tiếp sẽ phát dưới dạng các video lặp lại nhỏ. Tắt tùy chọn này để chỉ hiển thị hình ảnh tĩnh của các cảnh báo gần đây trên thiết bị/trình duyệt này.",
+        "label": "Phát video cảnh báo"
+      },
+      "title": "Bảng điều khiển trực tiếp"
+    },
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "label": "Tốc độ phát mặc định",
+        "desc": "Tốc độ phát mặc định cho việc xem lại các bản ghi."
+      },
+      "title": "Trình xem Bản ghi"
+    },
+    "title": "Cài đặt Chung"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "desc": "Bạn có muốn lưu các thay đổi trước khi tiếp tục không?",
+      "title": "Bạn có các thay đổi chưa được lưu."
+    }
+  },
+  "enrichments": {
+    "title": "Cài đặt Làm giàu Dữ liệu",
+    "unsavedChanges": "Các thay đổi cài đặt Làm giàu Dữ liệu chưa được lưu",
+    "birdClassification": {
+      "title": "Phân loại Chim",
+      "desc": "Phân loại chim xác định các loài chim đã biết bằng mô hình Tensorflow lượng tử hóa. Khi một loài chim đã biết được nhận dạng, tên thông thường của nó sẽ được thêm vào dưới dạng nhãn phụ (sub_label). Thông tin này được bao gồm trong giao diện người dùng, bộ lọc, cũng như trong các thông báo."
+    },
+    "semanticSearch": {
+      "title": "Tìm kiếm theo Ngữ nghĩa",
+      "desc": "Tìm kiếm theo Ngữ nghĩa trong Frigate cho phép bạn tìm các đối tượng được theo dõi trong các mục xem lại của mình bằng cách sử dụng chính hình ảnh, mô tả văn bản do người dùng xác định hoặc mô tả được tạo tự động.",
+      "reindexNow": {
+        "desc": "Việc tái lập chỉ mục sẽ tạo lại các nhúng (embeddings) cho tất cả các đối tượng được theo dõi. Quá trình này chạy ở chế độ nền và có thể làm CPU của bạn hoạt động tối đa và mất một khoảng thời gian đáng kể tùy thuộc vào số lượng đối tượng bạn đã theo dõi.",
+        "confirmTitle": "Xác nhận Tái lập chỉ mục",
+        "confirmDesc": "Bạn có chắc muốn tái lập chỉ mục cho tất cả các nhúng của đối tượng được theo dõi không? Quá trình này sẽ chạy ở chế độ nền nhưng có thể làm CPU của bạn hoạt động tối đa và mất một khoảng thời gian đáng kể. Bạn có thể theo dõi tiến trình trên trang Khám phá.",
+        "success": "Đã bắt đầu tái lập chỉ mục thành công.",
+        "alreadyInProgress": "Quá trình tái lập chỉ mục đang được tiến hành.",
+        "error": "Không thể bắt đầu tái lập chỉ mục: {{errorMessage}}",
+        "label": "Tái lập chỉ mục ngay",
+        "confirmButton": "Tái lập chỉ mục"
+      },
+      "modelSize": {
+        "label": "Kích thước Mô hình",
+        "desc": "Kích thước của mô hình được sử dụng cho các nhúng tìm kiếm theo ngữ nghĩa.",
+        "small": {
+          "title": "nhỏ",
+          "desc": "Sử dụng mô hình <em>nhỏ</em> sẽ dùng phiên bản lượng tử hóa của mô hình, tiêu thụ ít RAM hơn và chạy nhanh hơn trên CPU với sự khác biệt không đáng kể về chất lượng nhúng."
+        },
+        "large": {
+          "title": "lớn",
+          "desc": "Sử dụng mô hình <em>lớn</em> sẽ dùng mô hình Jina đầy đủ và sẽ tự động chạy trên GPU nếu có."
+        }
+      },
+      "readTheDocumentation": "Đọc tài liệu"
+    },
+    "faceRecognition": {
+      "title": "Nhận dạng Khuôn mặt",
+      "desc": "Nhận dạng khuôn mặt cho phép gán tên cho người và khi khuôn mặt của họ được nhận dạng, Frigate sẽ gán tên của người đó làm nhãn phụ. Thông tin này được bao gồm trong giao diện người dùng, bộ lọc, cũng như trong các thông báo.",
+      "readTheDocumentation": "Đọc tài liệu",
+      "modelSize": {
+        "label": "Kích thước Mô hình",
+        "desc": "Kích thước của mô hình được sử dụng để nhận dạng khuôn mặt.",
+        "small": {
+          "title": "nhỏ",
+          "desc": "Sử dụng mô hình <em>nhỏ</em> sẽ dùng mô hình nhúng khuôn mặt FaceNet, chạy hiệu quả trên hầu hết các CPU."
+        },
+        "large": {
+          "title": "lớn",
+          "desc": "Sử dụng mô hình <em>lớn</em> sẽ dùng mô hình nhúng khuôn mặt ArcFace và sẽ tự động chạy trên GPU nếu có."
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "Nhận dạng Biển số xe",
+      "desc": "Frigate có thể nhận dạng biển số xe trên các phương tiện và tự động thêm các ký tự được phát hiện vào trường recognized_license_plate hoặc một tên đã biết làm nhãn phụ cho các đối tượng thuộc loại ô tô. Một trường hợp sử dụng phổ biến có thể là đọc biển số xe ô tô đi vào đường lái xe hoặc ô tô đi ngang qua trên đường phố.",
+      "readTheDocumentation": "Đọc tài liệu"
+    },
+    "restart_required": "Yêu cầu khởi động lại (cài đặt Làm giàu Dữ liệu đã thay đổi)",
+    "toast": {
+      "success": "Cài đặt Làm giàu Dữ liệu đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi của bạn.",
+      "error": "Không thể lưu các thay đổi cấu hình: {{errorMessage}}"
+    }
+  },
+  "menu": {
+    "frigateplus": "Frigate+",
+    "ui": "Giao diện người dùng",
+    "masksAndZones": "Mặt nạ / Vùng",
+    "debug": "Gỡ lỗi",
+    "users": "Người dùng",
+    "notifications": "Thông báo",
+    "motionTuner": "Tinh chỉnh Chuyển động",
+    "cameras": "Cài đặt Camera",
+    "enrichments": "Làm giàu Dữ liệu"
+  },
+  "cameraSetting": {
+    "camera": "Camera",
+    "noCamera": "Không có Camera"
+  }
+}
diff --git a/web/public/locales/vi/views/system.json b/web/public/locales/vi/views/system.json
new file mode 100644
index 000000000..31da0a086
--- /dev/null
+++ b/web/public/locales/vi/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "storage": "Thống kê lưu trữ - Frigate",
+    "general": "Thống kê Chung - Frigate",
+    "enrichments": "Thống kê Làm giàu Dữ liệu - Frigate",
+    "logs": {
+      "frigate": "Nhật ký Frigate - Frigate",
+      "go2rtc": "Nhật ký Go2RTC - Frigate",
+      "nginx": "Nhật ký Nginx - Frigate"
+    },
+    "cameras": "Thống kê Camera - Frigate"
+  },
+  "general": {
+    "hardwareInfo": {
+      "npuUsage": "Mức sử dụng NPU",
+      "npuMemory": "Bộ nhớ NPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Đầu ra Vainfo",
+          "returnCode": "Mã trả về: {{code}}",
+          "processOutput": "Đầu ra Tiến trình:",
+          "processError": "Lỗi Tiến trình:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Đầu ra Nvidia SMI",
+          "name": "Tên: {{name}}",
+          "driver": "Trình điều khiển: {{driver}}",
+          "cudaComputerCapability": "Khả năng Tính toán CUDA: {{cuda_compute}}",
+          "vbios": "Thông tin VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "Đóng thông tin GPU"
+        },
+        "copyInfo": {
+          "label": "Sao chép thông tin GPU"
+        },
+        "toast": {
+          "success": "Đã sao chép thông tin GPU vào clipboard"
+        }
+      },
+      "title": "Thông tin Phần cứng",
+      "gpuUsage": "Mức sử dụng GPU",
+      "gpuMemory": "Bộ nhớ GPU",
+      "gpuEncoder": "Bộ mã hóa GPU",
+      "gpuDecoder": "Bộ giải mã GPU"
+    },
+    "otherProcesses": {
+      "processCpuUsage": "Mức sử dụng CPU của Tiến trình",
+      "processMemoryUsage": "Mức sử dụng Bộ nhớ của Tiến trình",
+      "title": "Các Tiến trình Khác"
+    },
+    "detector": {
+      "temperature": "Nhiệt độ Bộ phát hiện",
+      "memoryUsage": "Mức sử dụng Bộ nhớ của Bộ phát hiện",
+      "title": "Bộ phát hiện",
+      "inferenceSpeed": "Tốc độ Suy luận của Bộ phát hiện",
+      "cpuUsage": "Mức sử dụng CPU của Bộ phát hiện"
+    },
+    "title": "Chung"
+  },
+  "storage": {
+    "overview": "Tổng quan",
+    "cameraStorage": {
+      "title": "Lưu trữ Camera",
+      "camera": "Camera",
+      "unusedStorageInformation": "Thông tin Lưu trữ Chưa sử dụng",
+      "storageUsed": "Lưu trữ",
+      "percentageOfTotalUsed": "Tổng phần trăm",
+      "bandwidth": "Băng thông",
+      "unused": {
+        "title": "Chưa sử dụng",
+        "tips": "Giá trị này có thể không phản ánh chính xác dung lượng trống có sẵn cho Frigate nếu bạn có các tệp khác được lưu trữ trên ổ đĩa ngoài các bản ghi của Frigate. Frigate không theo dõi việc sử dụng dung lượng lưu trữ bên ngoài các bản ghi của nó."
+      }
+    },
+    "title": "Lưu trữ",
+    "recordings": {
+      "title": "Bản ghi",
+      "tips": "Giá trị này thể hiện tổng dung lượng lưu trữ được sử dụng bởi các bản ghi trong cơ sở dữ liệu của Frigate. Frigate không theo dõi việc sử dụng dung lượng lưu trữ cho tất cả các tệp trên đĩa của bạn.",
+      "earliestRecording": "Bản ghi sớm nhất hiện có:"
+    }
+  },
+  "cameras": {
+    "label": {
+      "detect": "phát hiện",
+      "skipped": "bỏ qua",
+      "ffmpeg": "FFmpeg",
+      "capture": "ghi hình",
+      "overallDetectionsPerSecond": "tổng số phát hiện mỗi giây",
+      "cameraFramesPerSecond": "{{camName}} khung hình mỗi giây",
+      "cameraDetectionsPerSecond": "{{camName}} phát hiện mỗi giây",
+      "overallFramesPerSecond": "tổng số khung hình mỗi giây",
+      "camera": "camera",
+      "overallSkippedDetectionsPerSecond": "tổng số phát hiện bị bỏ qua mỗi giây",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} ghi hình",
+      "cameraDetect": "{{camName}} phát hiện",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} phát hiện bị bỏ qua mỗi giây"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Đã sao chép dữ liệu thăm dò vào clipboard."
+      },
+      "error": {
+        "unableToProbeCamera": "Không thể thăm dò camera: {{errorMessage}}"
+      }
+    },
+    "info": {
+      "stream": "Luồng {{idx}}",
+      "streamDataFromFFPROBE": "Dữ liệu luồng được lấy bằng <code>ffprobe</code>.",
+      "video": "Video:",
+      "fetching": "Đang tìm nạp Dữ liệu Camera",
+      "codec": "Codec:",
+      "unknown": "Không xác định",
+      "audio": "Âm thanh:",
+      "error": "Lỗi: {{error}}",
+      "tips": {
+        "title": "Thông tin Thăm dò Camera"
+      },
+      "resolution": "Độ phân giải:",
+      "fps": "FPS:",
+      "cameraProbeInfo": "Thông tin Thăm dò Camera {{camera}}",
+      "aspectRatio": "tỉ lệ khung hình"
+    },
+    "overview": "Tổng quan",
+    "framesAndDetections": "Khung hình / Phát hiện",
+    "title": "Camera"
+  },
+  "lastRefreshed": "Làm mới lần cuối: ",
+  "stats": {
+    "detectIsSlow": "{{detect}} đang chậm ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} đang rất chậm ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} đang ngoại tuyến",
+    "ffmpegHighCpuUsage": "{{camera}} có mức sử dụng CPU FFmpeg cao ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} có mức sử dụng CPU phát hiện cao ({{detectAvg}}%)",
+    "healthy": "Hệ thống đang hoạt động tốt",
+    "reindexingEmbeddings": "Đang lập chỉ mục lại các embedding (hoàn thành {{processed}}%)"
+  },
+  "enrichments": {
+    "embeddings": {
+      "image_embedding": "Embedding Hình ảnh",
+      "text_embedding_speed": "Tốc độ Embedding Văn bản",
+      "face_embedding_speed": "Tốc độ Embedding Khuôn mặt",
+      "text_embedding": "Embedding Văn bản",
+      "face_recognition": "Nhận dạng Khuôn mặt",
+      "plate_recognition": "Nhận dạng Biển số",
+      "image_embedding_speed": "Tốc độ Embedding Hình ảnh",
+      "face_recognition_speed": "Tốc độ Nhận dạng Khuôn mặt",
+      "plate_recognition_speed": "Tốc độ Nhận dạng Biển số",
+      "yolov9_plate_detection_speed": "Tốc độ Phát hiện Biển số YOLOv9",
+      "yolov9_plate_detection": "Phát hiện Biển số YOLOv9"
+    },
+    "title": "Làm giàu Dữ liệu",
+    "infPerSecond": "Suy luận Mỗi Giây"
+  },
+  "title": "Hệ thống",
+  "metrics": "Số liệu hệ thống",
+  "logs": {
+    "download": {
+      "label": "Tải xuống Nhật ký"
+    },
+    "copy": {
+      "label": "Sao chép vào Clipboard",
+      "success": "Đã sao chép nhật ký vào clipboard",
+      "error": "Không thể sao chép nhật ký vào clipboard"
+    },
+    "type": {
+      "label": "Loại",
+      "timestamp": "Dấu thời gian",
+      "tag": "Thẻ",
+      "message": "Thông báo"
+    },
+    "tips": "Nhật ký đang được truyền trực tiếp từ máy chủ",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Lỗi khi tìm nạp nhật ký: {{errorMessage}}",
+        "whileStreamingLogs": "Lỗi trong khi truyền trực tiếp nhật ký: {{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/audio.json b/web/public/locales/yue-Hant/audio.json
new file mode 100644
index 000000000..8d29100d5
--- /dev/null
+++ b/web/public/locales/yue-Hant/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "講話",
+  "babbling": "牙牙學語",
+  "yell": "大嗌",
+  "bellow": "咆哮",
+  "whoop": "歡呼聲",
+  "whispering": "細細聲",
+  "laughter": "笑聲",
+  "sigh": "歎氣聲",
+  "crying": "喊聲",
+  "yodeling": "山歌",
+  "choir": "合唱",
+  "snicker": "偷笑聲",
+  "mantra": "咒語",
+  "singing": "歌聲",
+  "chant": "唸經",
+  "breathing": "呼吸聲",
+  "child_singing": "兒童歌聲",
+  "rapping": "饒舌",
+  "humming": "哼歌",
+  "whistling": "口哨聲",
+  "synthetic_singing": "人造歌聲",
+  "groan": "呻吟聲",
+  "grunt": "哼聲",
+  "snort": "哼哼聲",
+  "throat_clearing": "清喉嚨",
+  "wheeze": "氣喘聲",
+  "snoring": "鼻鼾聲",
+  "gasp": "喘氣",
+  "pant": "急促喘氣",
+  "cough": "咳嗽",
+  "sneeze": "打乞嚏",
+  "shuffle": "拖步行",
+  "sniff": "嗅嗅聲",
+  "footsteps": "腳步聲",
+  "chewing": "咀嚼聲",
+  "biting": "咬嘢聲",
+  "gargling": "漱口聲",
+  "run": "跑步",
+  "stomach_rumble": "肚餓聲",
+  "burping": "打嗝聲",
+  "clapping": "掌聲",
+  "children_playing": "兒童玩耍聲",
+  "applause": "掌聲",
+  "heartbeat": "心跳",
+  "growling": "狗咆哮聲",
+  "bow_wow": "狗汪汪聲",
+  "caterwaul": "貓嚎叫",
+  "howl": "狗慘叫聲",
+  "livestock": "牲畜",
+  "clip_clop": "馬蹄聲",
+  "cattle": "牛",
+  "horse": "馬",
+  "heart_murmur": "心臟雜音",
+  "fart": "放屁",
+  "hands": "手",
+  "cheering": "歡呼聲",
+  "dog": "狗",
+  "bark": "樹皮",
+  "yip": "狗尖叫聲",
+  "chatter": "嘈雜聲",
+  "purr": "貓呼嚕聲",
+  "whimper_dog": "狗嗚咽聲",
+  "hiccup": "打嗝聲",
+  "finger_snapping": "彈手指聲",
+  "crowd": "人群聲",
+  "animal": "動物",
+  "pets": "寵物",
+  "cat": "貓",
+  "meow": "貓喵喵聲",
+  "hiss": "貓嘶嘶聲",
+  "neigh": "馬嘶聲",
+  "cowbell": "牛鈴",
+  "moo": "牛哞哞聲",
+  "gobble": "火雞叫聲",
+  "turkey": "火雞",
+  "chicken": "雞",
+  "cluck": "雞咯咯聲",
+  "fowl": "家禽",
+  "sheep": "羊",
+  "duck": "鴨子",
+  "goat": "山羊",
+  "pig": "豬",
+  "oink": "豬哼聲",
+  "bleat": "咩咩聲",
+  "cock_a_doodle_doo": "公雞叫聲",
+  "honk": "鵝叫聲",
+  "quack": "鴨叫聲",
+  "goose": "鵝",
+  "wild_animals": "野生動物",
+  "crow": "烏鴉",
+  "coo": "白鴿咕咕聲",
+  "pigeon": "白鴿",
+  "roaring_cats": "貓咆哮聲",
+  "roar": "咆哮聲",
+  "bird": "鳥",
+  "chirp": "鳥啾啾聲",
+  "squawk": "鳥嘎嘎聲",
+  "caw": "烏鴉呱呱聲",
+  "mouse": "滑鼠",
+  "owl": "貓頭鷹",
+  "rats": "大老鼠",
+  "hoot": "貓頭鷹咕咕聲",
+  "patter": "老鼠腳步聲",
+  "flapping_wings": "拍打翅膀聲",
+  "dogs": "狗",
+  "snake": "蛇",
+  "insect": "昆蟲",
+  "whale_vocalization": "鯨魚叫聲",
+  "rattle": "蛇叫聲",
+  "fly": "蒼蠅",
+  "croak": "青蛙呱呱聲",
+  "mosquito": "蚊",
+  "music": "音樂",
+  "frog": "青蛙",
+  "cricket": "蟋蟀",
+  "buzz": "嗡嗡聲",
+  "musical_instrument": "樂器",
+  "steel_guitar": "鋼弦結他",
+  "tapping": "拍擊",
+  "guitar": "結他",
+  "strum": "撥弦聲",
+  "electric_guitar": "電結他",
+  "plucked_string_instrument": "撥弦樂器",
+  "bass_guitar": "低音結他",
+  "banjo": "班祖琴",
+  "acoustic_guitar": "原聲結他",
+  "piano": "鋼琴",
+  "synthesizer": "合成器",
+  "keyboard": "鍵盤",
+  "organ": "風琴",
+  "sitar": "錫塔琴",
+  "mandolin": "曼陀鈴",
+  "zither": "齊特琴",
+  "ukulele": "烏克麗麗",
+  "sampler": "採樣器",
+  "hammond_organ": "哈蒙德風琴",
+  "electric_piano": "電子鋼琴",
+  "electronic_organ": "電子風琴",
+  "rimshot": "鼓邊敲擊",
+  "bass_drum": "低音鼓",
+  "drum_kit": "鼓套",
+  "drum_machine": "鼓機",
+  "drum": "鼓",
+  "snare_drum": "小鼓",
+  "timpani": "定音鼓",
+  "drum_roll": "鼓聲",
+  "harpsichord": "大鍵琴",
+  "percussion": "打擊樂器",
+  "trumpet": "小號",
+  "cymbal": "銅鈸",
+  "french_horn": "法國號",
+  "string_section": "弦樂組",
+  "saxophone": "色士風",
+  "marimba": "馬林巴琴",
+  "mallet_percussion": "鎚擊樂器",
+  "maraca": "沙槌",
+  "harp": "豎琴",
+  "orchestra": "管弦樂團",
+  "violin": "小提琴",
+  "gong": "鑼",
+  "flute": "長笛",
+  "bowed_string_instrument": "弓弦樂器",
+  "vibraphone": "顫音琴",
+  "tabla": "塔布拉鼓",
+  "trombone": "長號",
+  "tambourine": "鈴鼓",
+  "double_bass": "低音提琴",
+  "brass_instrument": "銅管樂器",
+  "cello": "大提琴",
+  "clarinet": "單簧管",
+  "pizzicato": "撥奏",
+  "hi_hat": "高帽鈸",
+  "wood_block": "木魚",
+  "tubular_bells": "管鐘",
+  "glockenspiel": "鐘琴",
+  "steelpan": "鋼鼓",
+  "wind_instrument": "管樂器",
+  "bell": "鐘",
+  "bicycle_bell": "單車鈴",
+  "wind_chime": "風鈴",
+  "church_bell": "教堂鐘聲",
+  "chime": "鈴聲",
+  "tuning_fork": "音叉",
+  "jingle_bell": "鈴鐺",
+  "accordion": "手風琴",
+  "bagpipes": "風笛",
+  "didgeridoo": "迪吉里杜管",
+  "theremin": "特雷門琴",
+  "singing_bowl": "頌缽",
+  "scratching": "抓碟聲",
+  "pop_music": "流行音樂",
+  "hip_hop_music": "嘻哈音樂",
+  "harmonica": "口琴",
+  "beatboxing": "人聲節奏",
+  "country": "鄉村音樂",
+  "water": "水",
+  "scary_music": "恐怖音樂",
+  "music_of_asia": "亞洲音樂",
+  "dance_music": "舞曲",
+  "video_game_music": "電子遊戲音樂",
+  "thunderstorm": "雷雨",
+  "bluegrass": "藍草音樂",
+  "train_wheels_squealing": "火車車輪聲",
+  "techno": "電子舞曲",
+  "new-age_music": "新世紀音樂",
+  "background_music": "背景音樂",
+  "theme_music": "主題音樂",
+  "jingle": "鈴聲",
+  "bus": "巴士",
+  "emergency_vehicle": "緊急車輛",
+  "aircraft": "飛機",
+  "ice_cream_truck": "雪糕車",
+  "dubstep": "杜步音樂",
+  "aircraft_engine": "飛機引擎聲",
+  "funk": "放克音樂",
+  "lullaby": "搖籃曲",
+  "rain": "雨",
+  "happy_music": "快樂音樂",
+  "music_of_latin_america": "拉丁美洲音樂",
+  "soundtrack_music": "配樂",
+  "rock_music": "搖滾樂",
+  "rock_and_roll": "搖滾樂",
+  "psychedelic_rock": "迷幻搖滾",
+  "rhythm_and_blues": "節奏藍調",
+  "soul_music": "靈魂音樂",
+  "reggae": "雷鬼音樂",
+  "folk_music": "民謠音樂",
+  "middle_eastern_music": "中東音樂",
+  "jazz": "爵士樂",
+  "disco": "迪斯可音樂",
+  "classical_music": "古典音樂",
+  "opera": "歌劇",
+  "electronic_music": "電子音樂",
+  "house_music": "浩室音樂",
+  "electronic_dance_music": "電子舞曲",
+  "ambient_music": "環境音樂",
+  "trance_music": "迷幻音樂",
+  "salsa_music": "薩爾薩音樂",
+  "flamenco": "佛朗明哥",
+  "blues": "藍調音樂",
+  "music_for_children": "兒童音樂",
+  "vocal_music": "聲樂",
+  "a_capella": "無伴奏合唱",
+  "music_of_africa": "非洲音樂",
+  "afrobeat": "非洲節拍",
+  "christian_music": "基督教音樂",
+  "gospel_music": "福音音樂",
+  "music_of_bollywood": "寶萊塢音樂",
+  "ska": "斯卡音樂",
+  "traditional_music": "傳統音樂",
+  "independent_music": "獨立音樂",
+  "song": "歌曲",
+  "raindrop": "雨點聲",
+  "rain_on_surface": "雨打地面聲",
+  "stream": "小溪",
+  "waterfall": "瀑布",
+  "ocean": "海洋",
+  "waves": "波浪",
+  "steam": "蒸氣",
+  "gurgling": "咕嚕聲",
+  "fire": "火",
+  "crackle": "劈啪聲",
+  "vehicle": "車輛",
+  "boat": "船",
+  "sailboat": "帆船",
+  "rowboat": "划艇",
+  "motorboat": "機動船",
+  "ship": "船",
+  "motor_vehicle": "機動車",
+  "car": "車",
+  "toot": "汽車響咹聲",
+  "car_alarm": "汽車防盜器",
+  "power_windows": "電動車窗",
+  "skidding": "車胎打滑聲",
+  "tire_squeal": "車胎尖叫聲",
+  "car_passing_by": "車駛過聲",
+  "race_car": "賽車",
+  "truck": "貨車",
+  "air_brake": "煞車聲",
+  "air_horn": "空氣喇叭",
+  "police_car": "警車",
+  "ambulance": "救護車",
+  "fire_engine": "消防車",
+  "motorcycle": "電單車",
+  "rail_transport": "鐵路運輸",
+  "train_whistle": "火車汽笛聲",
+  "train_horn": "火車喇叭聲",
+  "railroad_car": "火車車廂",
+  "propeller": "螺旋槳",
+  "helicopter": "直升機",
+  "fixed-wing_aircraft": "固定翼飛機",
+  "bicycle": "單車",
+  "skateboard": "滑板",
+  "engine": "引擎",
+  "light_engine": "小型引擎",
+  "dental_drill's_drill": "牙科鑽機",
+  "lawn_mower": "剪草機",
+  "chainsaw": "電鋸",
+  "medium_engine": "中型引擎",
+  "heavy_engine": "大型引擎",
+  "engine_knocking": "引擎敲擊聲",
+  "engine_starting": "引擎啟動聲",
+  "idling": "引擎空轉聲",
+  "accelerating": "加速聲",
+  "door": "門",
+  "doorbell": "門鈴",
+  "ding-dong": "叮咚聲",
+  "sliding_door": "趟門",
+  "knock": "敲門",
+  "tap": "輕敲門",
+  "squeak": "吱吱聲",
+  "cupboard_open_or_close": "櫃門開關聲",
+  "drawer_open_or_close": "抽屜開關聲",
+  "dishes": "餐具聲",
+  "cutlery": "刀叉",
+  "chopping": "切菜聲",
+  "frying": "炒煮",
+  "microwave_oven": "微波爐",
+  "water_tap": "水龍頭",
+  "electric_toothbrush": "電動牙刷",
+  "vacuum_cleaner": "吸塵機",
+  "zipper": "拉鍊",
+  "keys_jangling": "鎖匙碰撞聲",
+  "coin": "硬幣",
+  "scissors": "剪刀",
+  "electric_shaver": "電鬚刨",
+  "shuffling_cards": "洗牌",
+  "typing": "打字",
+  "computer_keyboard": "電腦鍵盤",
+  "telephone": "電話",
+  "telephone_bell_ringing": "電話鈴聲",
+  "siren": "警報聲",
+  "steam_whistle": "蒸氣汽笛",
+  "mechanisms": "機械聲",
+  "ratchet": "棘輪聲",
+  "clock": "時鐘",
+  "tick": "滴答聲",
+  "tick-tock": "滴答滴答聲",
+  "sewing_machine": "衣車",
+  "mechanical_fan": "機械風扇",
+  "printer": "印表機",
+  "camera": "鏡頭",
+  "single-lens_reflex_camera": "單反相機",
+  "tools": "工具",
+  "hammer": "鎚仔",
+  "sawing": "鋸",
+  "filing": "銼",
+  "sanding": "打磨",
+  "power_tool": "電動工具",
+  "drill": "鑽",
+  "explosion": "爆炸",
+  "fusillade": "連環射擊",
+  "artillery_fire": "火砲",
+  "cap_gun": "玩具槍",
+  "fireworks": "煙花",
+  "firecracker": "炮仗",
+  "burst": "爆裂",
+  "eruption": "爆發",
+  "wood": "木頭",
+  "chop": "劈木聲",
+  "splinter": "木刺聲",
+  "crack": "裂聲",
+  "shatter": "破碎聲",
+  "silence": "寂靜",
+  "sound_effect": "音效",
+  "white_noise": "白噪音",
+  "pink_noise": "粉紅噪音",
+  "television": "電視",
+  "radio": "收音機",
+  "field_recording": "現場錄音",
+  "angry_music": "憤怒音樂",
+  "sad_music": "悲傷音樂",
+  "wind": "風",
+  "wind_noise": "風聲",
+  "drum_and_bass": "鼓和貝斯",
+  "wedding_music": "婚禮音樂",
+  "progressive_rock": "前衛搖滾",
+  "grunge": "垃圾搖滾",
+  "punk_rock": "朋克搖滾",
+  "christmas_music": "聖誕音樂",
+  "subway": "地鐵",
+  "thunder": "雷聲",
+  "carnatic_music": "卡納蒂克音樂",
+  "traffic_noise": "交通噪音",
+  "train": "火車",
+  "slam": "砰門聲",
+  "tender_music": "溫柔音樂",
+  "reversing_beeps": "倒車提示聲",
+  "heavy_metal": "重金屬音樂",
+  "jet_engine": "噴射機引擎聲",
+  "rustling_leaves": "樹葉沙沙聲",
+  "electronica": "電子樂",
+  "swing_music": "搖擺音樂",
+  "exciting_music": "刺激音樂",
+  "ringtone": "鈴聲",
+  "pulleys": "滑輪",
+  "jackhammer": "風鑽",
+  "writing": "寫作",
+  "toilet_flush": "沖廁",
+  "whistle": "哨子聲",
+  "gunshot": "槍聲",
+  "alarm_clock": "鬧鐘",
+  "dial_tone": "電話按號聲",
+  "boom": "轟隆",
+  "typewriter": "打字機",
+  "blender": "攪拌機",
+  "toothbrush": "牙刷",
+  "cash_register": "收銀機",
+  "civil_defense_siren": "民防警報",
+  "machine_gun": "機關槍",
+  "sink": "洗手盆",
+  "fire_alarm": "火警鐘",
+  "bathtub": "浴缸",
+  "busy_signal": "線路繁忙聲",
+  "smoke_detector": "煙霧偵測器",
+  "hair_dryer": "吹風機",
+  "alarm": "警報",
+  "gears": "齒輪",
+  "telephone_dialing": "電話撥號聲",
+  "foghorn": "霧號",
+  "buzzer": "蜂鳴器聲",
+  "air_conditioning": "冷氣機",
+  "glass": "玻璃",
+  "chink": "碰撞聲",
+  "environmental_noise": "環境噪音",
+  "static": "靜電聲",
+  "scream": "尖叫聲"
+}
diff --git a/web/public/locales/yue-Hant/common.json b/web/public/locales/yue-Hant/common.json
new file mode 100644
index 000000000..03f4f89b4
--- /dev/null
+++ b/web/public/locales/yue-Hant/common.json
@@ -0,0 +1,252 @@
+{
+  "time": {
+    "untilForTime": "直到 {{time}}",
+    "untilRestart": "直到重新啟動",
+    "yesterday": "昨日",
+    "last7": "過去7日",
+    "last14": "過去14日",
+    "last30": "過去30日",
+    "thisWeek": "今個星期",
+    "lastMonth": "上個月",
+    "10minutes": "10分鐘",
+    "12hours": "12 小時",
+    "24hours": "24 小時",
+    "am": "上午",
+    "year_other": "{{time}}年",
+    "mo": "{{time}}月",
+    "m": "{{time}}分鐘",
+    "minute_other": "{{time}}分鐘",
+    "formattedTimestamp": {
+      "12hour": "M月d日 ah:mm:ss",
+      "24hour": "M月d日 HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "a h:mm",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "ah:mm:ss",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampFilename": {
+      "24hour": "yy年MM月dd日 HH時mm分ss秒",
+      "12hour": "yy年MM月dd日 ah時mm分ss秒"
+    },
+    "s": "{{time}}秒",
+    "formattedTimestamp2": {
+      "12hour": "MM月dd日 ah:mm:ss",
+      "24hour": "MM月dd日 HH:mm:ss"
+    },
+    "thisMonth": "今個月",
+    "pm": "下午",
+    "formattedTimestampMonthDayHourMinute": {
+      "24hour": "M月d日 HH:mm",
+      "12hour": "M月d日 ah:mm"
+    },
+    "justNow": "剛剛",
+    "day_other": "{{time}}日",
+    "hour_other": "{{time}}小時",
+    "30minutes": "30分鐘",
+    "5minutes": "5分鐘",
+    "yr": "{{time}}年",
+    "today": "今日",
+    "month_other": "{{time}}月",
+    "second_other": "{{time}}秒",
+    "untilForRestart": "直到 Frigate 重新啟動。",
+    "ago": "{{timeAgo}} 前",
+    "d": "{{time}}日",
+    "lastWeek": "上個星期",
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "yyyy年M月d日 ah:mm",
+      "24hour": "yyyy年M月d日 HH:mm"
+    },
+    "1hour": "1 小時",
+    "h": "{{time}}小時",
+    "formattedTimestampMonthDay": "M月d日",
+    "formattedTimestampMonthDayYear": {
+      "24hour": "yy年MM月dd日",
+      "12hour": "yy年MM月dd日"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "英里/小時",
+      "kph": "公里/小時"
+    },
+    "length": {
+      "feet": "呎",
+      "meters": "米"
+    }
+  },
+  "label": {
+    "back": "返回"
+  },
+  "button": {
+    "apply": "套用",
+    "reset": "重置",
+    "done": "完成",
+    "enabled": "已啟用",
+    "enable": "啟用",
+    "disabled": "已停用",
+    "disable": "停用",
+    "save": "儲存",
+    "saving": "儲存中…",
+    "cancel": "取消",
+    "close": "關閉",
+    "copy": "複製",
+    "back": "返回",
+    "history": "歷史記錄",
+    "fullscreen": "全螢幕",
+    "exitFullscreen": "離開全螢幕",
+    "pictureInPicture": "畫中畫",
+    "twoWayTalk": "雙向通話",
+    "cameraAudio": "鏡頭音訊",
+    "suspended": "已暫停",
+    "export": "匯出",
+    "deleteNow": "立即刪除",
+    "next": "下一步",
+    "play": "播放",
+    "no": "否",
+    "copyCoordinates": "複製座標",
+    "delete": "刪除",
+    "off": "關閉",
+    "edit": "編輯",
+    "on": "開啟",
+    "yes": "是",
+    "info": "資訊",
+    "download": "下載",
+    "unsuspended": "取消暫停",
+    "unselect": "取消選取"
+  },
+  "menu": {
+    "system": "系統",
+    "systemMetrics": "系統指標",
+    "configuration": "設定",
+    "systemLogs": "系統日誌",
+    "settings": "設定",
+    "configurationEditor": "設定編輯器",
+    "languages": "語言",
+    "language": {
+      "en": "English (英文)",
+      "es": "Español (西班牙文)",
+      "zhCN": "简体中文 (簡體中文)",
+      "hi": "हिन्दी (印地文)",
+      "fr": "Français (法文)",
+      "de": "Deutsch (德文)",
+      "ja": "日本語 (日文)",
+      "it": "Italiano (意大利文)",
+      "tr": "Türkçe (土耳其文)",
+      "nl": "Nederlands (荷蘭文)",
+      "cs": "Čeština (捷克文)",
+      "nb": "Norsk Bokmål (挪威文)",
+      "ko": "한국어 (韓文)",
+      "vi": "Tiếng Việt (越南文)",
+      "fa": "فارسی (波斯文)",
+      "pl": "Polski (波蘭文)",
+      "el": "Ελληνικά (希臘文)",
+      "ro": "Română (羅馬尼亞文)",
+      "hu": "Magyar (匈牙利文)",
+      "fi": "Suomi (芬蘭文)",
+      "da": "Dansk (丹麥文)",
+      "sk": "Slovenčina (斯洛伐克文)",
+      "withSystem": {
+        "label": "使用系統語言設定"
+      },
+      "ru": "Русский (俄文)",
+      "sv": "Svenska (瑞典文)",
+      "ar": "العربية (阿拉伯文)",
+      "pt": "Português (葡萄牙文)",
+      "uk": "Українська (烏克蘭文)",
+      "he": "עברית (希伯來文)",
+      "yue": "粵語 (廣東話)",
+      "th": "ไทย (泰文)",
+      "ca": "Català (加泰羅尼亞語)"
+    },
+    "appearance": "外觀",
+    "darkMode": {
+      "label": "深色模式",
+      "light": "淺色",
+      "dark": "深色",
+      "withSystem": {
+        "label": "使用系統模式設定"
+      }
+    },
+    "withSystem": "系統",
+    "theme": {
+      "label": "主題",
+      "blue": "藍色",
+      "green": "綠色",
+      "nord": "北歐風",
+      "red": "紅色",
+      "default": "預設",
+      "contrast": "高對比",
+      "highcontrast": "高對比度"
+    },
+    "documentation": {
+      "title": "文件",
+      "label": "Frigate 文件"
+    },
+    "restart": "重新啟動 Frigate",
+    "live": {
+      "title": "即時",
+      "allCameras": "所有鏡頭",
+      "cameras": {
+        "title": "鏡頭",
+        "count_other": "{{count}} 個鏡頭"
+      }
+    },
+    "review": "審查",
+    "explore": "瀏覽",
+    "export": "匯出",
+    "uiPlayground": "UI 測試場",
+    "faceLibrary": "臉部資料庫",
+    "user": {
+      "title": "使用者",
+      "logout": "登出",
+      "account": "帳戶",
+      "current": "當前使用者：{{user}}",
+      "anonymous": "匿名",
+      "setPassword": "設定密碼"
+    },
+    "help": "幫助"
+  },
+  "role": {
+    "admin": "管理員",
+    "viewer": "檢視者",
+    "desc": "管理員擁有 Frigate UI 全功能存取權限。檢視者只能查看鏡頭、審查項目和歷史影像。",
+    "title": "角色"
+  },
+  "pagination": {
+    "label": "分頁",
+    "previous": {
+      "title": "上一頁",
+      "label": "前往上一頁"
+    },
+    "next": {
+      "title": "下一頁",
+      "label": "前往下一頁"
+    },
+    "more": "更多頁數"
+  },
+  "accessDenied": {
+    "title": "拒絕存取",
+    "documentTitle": "拒絕存取 - Frigate",
+    "desc": "你無權查看此頁面。"
+  },
+  "selectItem": "選擇 {{item}}",
+  "toast": {
+    "save": {
+      "error": {
+        "noMessage": "儲存設定變更失敗",
+        "title": "儲存設定變更失敗：{{errorMessage}}"
+      },
+      "title": "儲存"
+    },
+    "copyUrlToClipboard": "已複製 URL 到剪貼簿。"
+  },
+  "notFound": {
+    "documentTitle": "找不到頁面 - Frigate",
+    "desc": "找不到頁面",
+    "title": "404"
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/auth.json b/web/public/locales/yue-Hant/components/auth.json
new file mode 100644
index 000000000..ebc3b8df7
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "errors": {
+      "webUnknownError": "未知錯誤。請檢查控制台日誌。",
+      "rateLimit": "超過速率限制。請稍後再試。",
+      "usernameRequired": "必須填寫用戶名",
+      "passwordRequired": "必須填寫密碼",
+      "loginFailed": "登入失敗",
+      "unknownError": "未知錯誤。請檢查日誌。"
+    },
+    "user": "用戶名",
+    "password": "密碼",
+    "login": "登入"
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/camera.json b/web/public/locales/yue-Hant/components/camera.json
new file mode 100644
index 000000000..80cb5d833
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "camera": {
+      "setting": {
+        "audio": {
+          "tips": {
+            "title": "此串流必須從你的鏡頭輸出音訊並在 go2rtc 中設定。",
+            "document": "閱讀文件 "
+          }
+        },
+        "streamMethod": {
+          "method": {
+            "continuousStreaming": {
+              "desc": {
+                "warning": "持續串流可能導致高頻寬使用及效能問題，請小心使用。",
+                "title": "即使沒有偵測到活動，只要在控制台上可見，鏡頭影像也會一直保持即時串流。"
+              },
+              "label": "持續串流"
+            },
+            "smartStreaming": {
+              "label": "智能串流（建議）",
+              "desc": "當沒有偵測到活動時，智能串流會每分鐘更新一次鏡頭影像以節省頻寬和資源。當偵測到活動時，影像會無縫切換到即時串流。"
+            },
+            "noStreaming": {
+              "label": "不串流",
+              "desc": "鏡頭影像每分鐘只會更新一次，不會進行即時串流。"
+            }
+          },
+          "label": "串流方式",
+          "placeholder": "選擇串流方式"
+        },
+        "compatibilityMode": {
+          "label": "相容模式",
+          "desc": "只有當你的鏡頭串流出現色彩異常及右側有斜線時，才啟用此選項。"
+        },
+        "label": "鏡頭串流設定",
+        "title": "{{cameraName}} 串流設定",
+        "desc": "更改此鏡頭群組控制台的即時串流選項。<em>這些設定是裝置/瀏覽器專屬的。</em>",
+        "audioIsAvailable": "此串流有提供音訊",
+        "audioIsUnavailable": "此串流沒有音訊",
+        "placeholder": "選擇串流來源",
+        "stream": "串流"
+      }
+    },
+    "delete": {
+      "confirm": {
+        "title": "確認刪除",
+        "desc": "你確定要刪除鏡頭群組 <em>{{name}}</em> 嗎？"
+      },
+      "label": "刪除鏡頭群組"
+    },
+    "name": {
+      "errorMessage": {
+        "exists": "鏡頭群組名稱已存在。",
+        "invalid": "鏡頭群組名稱無效。",
+        "mustLeastCharacters": "鏡頭群組名稱必須至少包含兩個字元。",
+        "nameMustNotPeriod": "鏡頭群組名稱不能包含句號。"
+      },
+      "placeholder": "請輸入名稱…",
+      "label": "名稱"
+    },
+    "icon": "圖標",
+    "cameras": {
+      "desc": "為此群組選擇鏡頭。",
+      "label": "鏡頭"
+    },
+    "label": "鏡頭群組",
+    "add": "新增鏡頭群組",
+    "edit": "編輯鏡頭群組",
+    "success": "鏡頭群組（{{name}}）已儲存。"
+  },
+  "debug": {
+    "options": {
+      "label": "設定",
+      "title": "選項",
+      "showOptions": "顯示選項",
+      "hideOptions": "隱藏選項"
+    },
+    "mask": "遮罩",
+    "boundingBox": "框選區",
+    "motion": "移動",
+    "regions": "大區域",
+    "timestamp": "時間戳記",
+    "zones": "區域"
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/dialog.json b/web/public/locales/yue-Hant/components/dialog.json
new file mode 100644
index 000000000..775681b07
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/dialog.json
@@ -0,0 +1,112 @@
+{
+  "restart": {
+    "title": "你確定要重新啟動 Frigate 嗎？",
+    "button": "重新啟動",
+    "restarting": {
+      "title": "Frigate 正在重新啟動",
+      "content": "此頁面將在 {{countdown}} 秒後重新載入。",
+      "button": "立即強制重新載入"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "提交到 Frigate+",
+        "desc": "位於你想避免的區域的物件並不是誤判。提交這些作為誤判會令模型混淆。"
+      },
+      "review": {
+        "question": {
+          "label": "確認此標籤給 Frigate Plus",
+          "ask_a": "此物件是 <code>{{label}}</code> 嗎？",
+          "ask_an": "此物件是 <code>{{label}}</code> 嗎？",
+          "ask_full": "此物件是 <code>{{untranslatedLabel}}</code>（{{translatedLabel}}）嗎？"
+        },
+        "state": {
+          "submitted": "已提交"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "在歷史記錄中查看"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "從時間線選取",
+      "lastHour_other": "最后{{count}}小時",
+      "end": {
+        "label": "選擇結束時間",
+        "title": "結束時間"
+      },
+      "custom": "自訂",
+      "start": {
+        "title": "開始時間",
+        "label": "選擇開始時間"
+      }
+    },
+    "name": {
+      "placeholder": "為匯出命名"
+    },
+    "select": "選取",
+    "export": "匯出",
+    "selectOrExport": "選取或匯出",
+    "toast": {
+      "error": {
+        "failed": "無法開始匯出：{{error}}",
+        "noVaildTimeSelected": "沒有選取有效的時間範圍",
+        "endTimeMustAfterStartTime": "結束時間必須在開始時間之後"
+      },
+      "success": "成功開始匯出。請到 /exports 資料夾查看檔案。"
+    },
+    "fromTimeline": {
+      "saveExport": "儲存匯出",
+      "previewExport": "預覽匯出"
+    }
+  },
+  "streaming": {
+    "label": "串流",
+    "restreaming": {
+      "disabled": "此鏡頭未啟用重串流。",
+      "desc": {
+        "title": "設定 go2rtc 以啟用此鏡頭的更多即時預覽選項及音訊。",
+        "readTheDocumentation": "閱讀文件"
+      }
+    },
+    "showStats": {
+      "desc": "啟用此選項可在鏡頭畫面上顯示串流統計資料。",
+      "label": "顯示串流統計資料"
+    },
+    "debugView": "除錯檢視"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "儲存搜尋",
+      "desc": "請為這個已儲存的搜尋輸入名稱。",
+      "placeholder": "請輸入搜尋名稱",
+      "overwrite": "{{searchName}} 已存在。儲存將會覆蓋現有資料。",
+      "button": {
+        "save": {
+          "label": "儲存此搜尋"
+        }
+      },
+      "success": "搜尋（{{searchName}}）已儲存。"
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "確認刪除",
+      "desc": {
+        "selected": "你確定要刪除與此審查項目相關的所有錄影嗎？<br /><br />按住 <em>Shift</em> 鍵可略過未來此對話框。"
+      },
+      "toast": {
+        "success": "已成功刪除所選審查項目相關的影片片段。",
+        "error": "刪除失敗：{{error}}"
+      }
+    },
+    "button": {
+      "export": "匯出",
+      "markAsReviewed": "標記為已審查",
+      "deleteNow": "立即刪除"
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/filter.json b/web/public/locales/yue-Hant/components/filter.json
new file mode 100644
index 000000000..b2de0f6e6
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "reset": {
+    "label": "重設篩選條件為預設值"
+  },
+  "subLabels": {
+    "all": "所有子標籤",
+    "label": "子標籤"
+  },
+  "score": "分數",
+  "features": {
+    "label": "特徵",
+    "hasSnapshot": "有快照",
+    "hasVideoClip": "有影片片段",
+    "submittedToFrigatePlus": {
+      "label": "已提交到 Frigate+",
+      "tips": "你必須先篩選出有快照的追蹤物件。<br /><br />沒有快照的追蹤物件無法提交到 Frigate+。"
+    }
+  },
+  "sort": {
+    "label": "排序",
+    "dateAsc": "日期（由舊到新）",
+    "dateDesc": "日期（由新到舊）",
+    "scoreAsc": "物件分數（由細到大）",
+    "scoreDesc": "物件分數（由大到細）",
+    "speedAsc": "預計速度（由慢到快）",
+    "speedDesc": "預計速度（由快到慢）",
+    "relevance": "相關性"
+  },
+  "cameras": {
+    "label": "鏡頭篩選",
+    "all": {
+      "title": "所有鏡頭",
+      "short": "鏡頭"
+    }
+  },
+  "review": {
+    "showReviewed": "顯示已審查"
+  },
+  "motion": {
+    "showMotionOnly": "只顯示有移動"
+  },
+  "explore": {
+    "settings": {
+      "title": "設定",
+      "defaultView": {
+        "summary": "摘要",
+        "unfilteredGrid": "未篩選網格",
+        "desc": "當未選取篩選條件時，顯示每個標籤最近追蹤物件的摘要，或顯示未篩選的網格。",
+        "title": "預設檢視"
+      },
+      "gridColumns": {
+        "title": "網格欄數",
+        "desc": "選擇網格檢視中的欄數。"
+      },
+      "searchSource": {
+        "label": "搜尋來源",
+        "desc": "選擇搜尋追蹤物件的縮圖還是描述。",
+        "options": {
+          "thumbnailImage": "縮圖",
+          "description": "描述"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "選擇日期進行篩選"
+      }
+    }
+  },
+  "logSettings": {
+    "filterBySeverity": "依嚴重程度篩選日誌",
+    "loading": {
+      "desc": "當日誌窗格捲動到底部時，新日誌將自動串流顯示。",
+      "title": "載入中"
+    },
+    "label": "篩選日誌等級",
+    "allLogs": "所有日誌",
+    "disableLogStreaming": "停用日誌串流"
+  },
+  "trackedObjectDelete": {
+    "title": "確認刪除",
+    "toast": {
+      "success": "成功刪除追蹤物件。",
+      "error": "刪除追蹤物件失敗：{{errorMessage}}"
+    },
+    "desc": "刪除這 {{objectLength}} 個追蹤物件將會移除快照、儲存的嵌入資料，以及相關的物件生命週期記錄。歷史檢視中的錄影檔案<em>不會</em>被刪除。<br /><br />你確定要繼續嗎？<br /><br />按住 <em>Shift</em> 鍵可略過未來此對話框。"
+  },
+  "recognizedLicensePlates": {
+    "loading": "載入已識別車牌中…",
+    "noLicensePlatesFound": "找不到車牌。",
+    "selectPlatesFromList": "從列表中選取一個或多個車牌。",
+    "placeholder": "輸入以搜尋車牌…",
+    "title": "已識別車牌",
+    "loadFailed": "載入已識別車牌失敗。"
+  },
+  "estimatedSpeed": "預計速度（{{unit}}）",
+  "labels": {
+    "label": "標籤",
+    "count_one": "{{count}} 個標籤",
+    "all": {
+      "title": "所有標籤",
+      "short": "標籤"
+    },
+    "count_other": "{{count}} 個標籤"
+  },
+  "zoneMask": {
+    "filterBy": "按區域遮罩篩選"
+  },
+  "zones": {
+    "label": "區域",
+    "all": {
+      "short": "區域",
+      "title": "所有區域"
+    }
+  },
+  "filter": "篩選",
+  "dates": {
+    "all": {
+      "title": "所有日期",
+      "short": "日期"
+    },
+    "selectPreset": "選擇預設設定…"
+  },
+  "more": "更多篩選條件",
+  "timeRange": "時間範圍"
+}
diff --git a/web/public/locales/yue-Hant/components/icons.json b/web/public/locales/yue-Hant/components/icons.json
new file mode 100644
index 000000000..467858b8d
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "選擇圖示",
+    "search": {
+      "placeholder": "搜尋圖示…"
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/input.json b/web/public/locales/yue-Hant/components/input.json
new file mode 100644
index 000000000..ed7eee77c
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "下載影片",
+      "toast": {
+        "success": "你的審查項目影片已開始下載。"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/components/player.json b/web/public/locales/yue-Hant/components/player.json
new file mode 100644
index 000000000..4fe43d29f
--- /dev/null
+++ b/web/public/locales/yue-Hant/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "此時間段內沒有錄影",
+  "noPreviewFound": "找不到預覽",
+  "submitFrigatePlus": {
+    "submit": "提交",
+    "title": "提交此畫面至 Frigate+？"
+  },
+  "streamOffline": {
+    "desc": "{{cameraName}} 的 <code>detect</code> 串流未接收到任何畫面，請檢查錯誤日誌",
+    "title": "串流已離線"
+  },
+  "cameraDisabled": "鏡頭已停用",
+  "stats": {
+    "bandwidth": {
+      "short": "頻寬",
+      "title": "頻寬："
+    },
+    "latency": {
+      "value": "{{seconds}} 秒",
+      "short": {
+        "value": "{{seconds}} 秒",
+        "title": "延遲"
+      },
+      "title": "延遲："
+    },
+    "totalFrames": "總畫面數：",
+    "droppedFrames": {
+      "short": {
+        "title": "已丟棄",
+        "value": "{{droppedFrames}} 個畫面"
+      },
+      "title": "丟棄畫面數："
+    },
+    "decodedFrames": "解碼畫面數：",
+    "droppedFrameRate": "畫面丟棄率：",
+    "streamType": {
+      "title": "串流類型：",
+      "short": "類型"
+    }
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "成功提交畫面至 Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "提交畫面至 Frigate+ 失敗"
+    }
+  },
+  "noPreviewFoundFor": "找不到 {{cameraName}} 的預覽",
+  "livePlayerRequiredIOSVersion": "此串流類型需要 iOS 17.1 或以上版本。"
+}
diff --git a/web/public/locales/yue-Hant/objects.json b/web/public/locales/yue-Hant/objects.json
new file mode 100644
index 000000000..b0838d796
--- /dev/null
+++ b/web/public/locales/yue-Hant/objects.json
@@ -0,0 +1,120 @@
+{
+  "vehicle": "車輛",
+  "car": "車",
+  "boat": "船",
+  "bus": "巴士",
+  "motorcycle": "電單車",
+  "train": "火車",
+  "bicycle": "單車",
+  "skateboard": "滑板",
+  "door": "門",
+  "blender": "攪拌機",
+  "sink": "洗手盆",
+  "scissors": "剪刀",
+  "clock": "時鐘",
+  "toothbrush": "牙刷",
+  "hair_dryer": "吹風機",
+  "person": "人",
+  "airplane": "飛機",
+  "traffic_light": "紅綠燈",
+  "fire_hydrant": "消防栓",
+  "street_sign": "街道標誌",
+  "stop_sign": "停車標誌",
+  "parking_meter": "咪錶",
+  "bench": "長凳",
+  "bird": "鳥",
+  "cat": "貓",
+  "sheep": "羊",
+  "cow": "牛",
+  "elephant": "大象",
+  "bear": "熊",
+  "zebra": "斑馬",
+  "giraffe": "長頸鹿",
+  "backpack": "背囊",
+  "tie": "領呔",
+  "suitcase": "行李箱",
+  "frisbee": "飛碟",
+  "skis": "滑雪板",
+  "snowboard": "單板滑雪板",
+  "sports_ball": "運動球",
+  "kite": "風箏",
+  "baseball_bat": "棒球棍",
+  "baseball_glove": "棒球手套",
+  "surfboard": "衝浪板",
+  "tennis_racket": "網球拍",
+  "bottle": "樽",
+  "plate": "碟",
+  "wine_glass": "酒杯",
+  "cup": "杯",
+  "fork": "叉",
+  "bowl": "碗",
+  "banana": "香蕉",
+  "apple": "蘋果",
+  "sandwich": "三文治",
+  "orange": "橙",
+  "carrot": "紅蘿蔔",
+  "hot_dog": "熱狗",
+  "pizza": "薄餅",
+  "donut": "甜甜圈",
+  "cake": "蛋糕",
+  "chair": "凳",
+  "couch": "梳化",
+  "laptop": "手提電腦",
+  "mouse": "滑鼠",
+  "remote": "遙控器",
+  "keyboard": "鍵盤",
+  "cell_phone": "手機",
+  "microwave": "微波爐",
+  "oven": "焗爐",
+  "toaster": "多士爐",
+  "refrigerator": "雪櫃",
+  "book": "書",
+  "vase": "花瓶",
+  "teddy_bear": "泰迪熊",
+  "hair_brush": "梳",
+  "squirrel": "松鼠",
+  "deer": "鹿",
+  "animal": "動物",
+  "bark": "樹皮",
+  "fox": "狐狸",
+  "goat": "山羊",
+  "rabbit": "兔",
+  "raccoon": "浣熊",
+  "robot_lawnmower": "自動剪草機",
+  "waste_bin": "垃圾桶",
+  "license_plate": "車牌",
+  "bbq_grill": "燒烤爐",
+  "amazon": "亞馬遜",
+  "usps": "美國郵政",
+  "ups": "UPS",
+  "postnl": "荷蘭郵政",
+  "nzpost": "新西蘭郵政",
+  "postnord": "北歐郵政",
+  "gls": "GLS",
+  "dpd": "DPD",
+  "broccoli": "西蘭花",
+  "umbrella": "雨傘",
+  "eye_glasses": "眼鏡",
+  "dog": "狗",
+  "desk": "書枱",
+  "tv": "電視",
+  "horse": "馬",
+  "mirror": "鏡",
+  "spoon": "匙羹",
+  "hat": "帽",
+  "shoe": "鞋",
+  "potted_plant": "盆栽植物",
+  "fedex": "聯邦快遞",
+  "handbag": "手袋",
+  "dining_table": "飯枱",
+  "an_post": "愛爾蘭郵政",
+  "knife": "刀",
+  "window": "窗",
+  "bed": "床",
+  "toilet": "廁所",
+  "purolator": "Purolator",
+  "on_demand": "按需要提供",
+  "face": "人臉",
+  "package": "包裹",
+  "dhl": "DHL"
+}
diff --git a/web/public/locales/yue-Hant/views/configEditor.json b/web/public/locales/yue-Hant/views/configEditor.json
new file mode 100644
index 000000000..3e23edb7f
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "設定編輯器 - Frigate",
+  "configEditor": "設定編輯器",
+  "copyConfig": "複製設定",
+  "saveAndRestart": "儲存並重新啟動",
+  "saveOnly": "只儲存",
+  "toast": {
+    "success": {
+      "copyToClipboard": "設定已複製到剪貼簿。"
+    },
+    "error": {
+      "savingError": "儲存設定時出錯"
+    }
+  },
+  "confirm": "是否不儲存就離開？"
+}
diff --git a/web/public/locales/yue-Hant/views/events.json b/web/public/locales/yue-Hant/views/events.json
new file mode 100644
index 000000000..e9929a350
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/events.json
@@ -0,0 +1,38 @@
+{
+  "camera": "鏡頭",
+  "alerts": "警報",
+  "empty": {
+    "alert": "沒有警報需要審查",
+    "detection": "沒有偵測到的項目需要審查",
+    "motion": "找不到移動數據"
+  },
+  "timeline": "時間線",
+  "events": {
+    "label": "事件",
+    "noFoundForTimePeriod": "此時段內沒有找到事件。",
+    "aria": "選擇事件"
+  },
+  "recordings": {
+    "documentTitle": "錄影 - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "過去24小時"
+  },
+  "markAsReviewed": "標記為已審查",
+  "markTheseItemsAsReviewed": "將這些項目標記為已審查",
+  "newReviewItems": {
+    "label": "查看新的審查項目",
+    "button": "有新的審查項目"
+  },
+  "selected_one": "已選擇 {{count}} 項",
+  "selected_other": "已選擇 {{count}} 項",
+  "allCameras": "所有鏡頭",
+  "documentTitle": "審查 - Frigate",
+  "motion": {
+    "only": "只顯示移動",
+    "label": "移動"
+  },
+  "detections": "偵測",
+  "timeline.aria": "選擇時間線",
+  "detected": "已偵測"
+}
diff --git a/web/public/locales/yue-Hant/views/explore.json b/web/public/locales/yue-Hant/views/explore.json
new file mode 100644
index 000000000..46db41b6f
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/explore.json
@@ -0,0 +1,205 @@
+{
+  "documentTitle": "瀏覽 - Frigate",
+  "generativeAI": "生成式人工智能",
+  "exploreIsUnavailable": {
+    "title": "無法使用瀏覽功能",
+    "embeddingsReindexing": {
+      "startingUp": "啟動中…",
+      "estimatedTime": "預計剩餘時間：",
+      "finishingShortly": "即將完成",
+      "step": {
+        "thumbnailsEmbedded": "已嵌入縮圖： ",
+        "descriptionsEmbedded": "已嵌入描述： ",
+        "trackedObjectsProcessed": "已處理的追蹤物件： "
+      },
+      "context": "完成重新索引追蹤物件的嵌入後即可使用瀏覽功能。"
+    },
+    "downloadingModels": {
+      "tips": {
+        "context": "下載完成後，你可能需要重新索引追蹤物件的嵌入。",
+        "documentation": "閱讀文件"
+      },
+      "error": "發生錯誤。請檢查 Frigate 日誌。",
+      "context": "Frigate 正在下載必要的嵌入模型以支援語意搜尋功能。這可能需要幾分鐘，視乎你的網絡速度。",
+      "setup": {
+        "textTokenizer": "文字分詞器",
+        "textModel": "文字模型",
+        "visionModelFeatureExtractor": "視覺模型特徵提取器",
+        "visionModel": "視覺模型"
+      }
+    }
+  },
+  "trackedObjectDetails": "追蹤物件詳情",
+  "type": {
+    "details": "詳情",
+    "snapshot": "快照",
+    "video": "影片",
+    "object_lifecycle": "物件生命周期"
+  },
+  "objectLifecycle": {
+    "title": "物件生命周期",
+    "noImageFound": "此時間點找不到圖像。",
+    "createObjectMask": "建立物件遮罩",
+    "lifecycleItemDesc": {
+      "active": "{{label}} 變為活躍",
+      "stationary": "{{label}} 變為靜止",
+      "attribute": {
+        "faceOrLicense_plate": "偵測到 {{label}} 的 {{attribute}}",
+        "other": "{{label}} 被識別為 {{attribute}}"
+      },
+      "header": {
+        "zones": "區域",
+        "ratio": "比例",
+        "area": "區域範圍"
+      },
+      "heard": "聽到 {{label}}",
+      "entered_zone": "{{label}} 進入了 {{zones}}",
+      "gone": "{{label}} 離開了",
+      "visible": "偵測到 {{label}}",
+      "external": "偵測到 {{label}}"
+    },
+    "annotationSettings": {
+      "title": "註解設定",
+      "showAllZones": {
+        "title": "顯示所有區域",
+        "desc": "在物件進入區域的畫面上總是顯示區域。"
+      },
+      "offset": {
+        "tips": "提示：試想像有一段事件片段，當中有人由左行到右。如果事件時間線上的方框一直偏向人物的左邊，則應該減少數值。相反，如果有人由左行到右，而方框一直走在人物前面，則應該增加數值。",
+        "desc": "此資料來自鏡頭的偵測串流，但覆蓋在錄影串流的畫面上。兩個串流通常無法完全同步。因此邊界框和影片可能無法完全對齊。不過可以使用 <code>annotation_offset</code> 欄位來調整。",
+        "label": "註解偏移量",
+        "documentation": "閱讀文件 ",
+        "millisecondsToOffset": "偵測註解的偏移毫秒數。<em>預設：0</em>",
+        "toast": {
+          "success": "{{camera}} 的註解偏移量已儲存到設定檔。請重新啟動 Frigate 以套用更改。"
+        }
+      }
+    },
+    "carousel": {
+      "previous": "上一張",
+      "next": "下一張"
+    },
+    "adjustAnnotationSettings": "調整註解設定",
+    "scrollViewTips": "滾動以查看此物件生命周期中的重要時刻。",
+    "autoTrackingTips": "自動追蹤鏡頭的邊界框位置可能不準確。",
+    "count": "第 {{first}} 個，共 {{second}} 個",
+    "trackedPoint": "追蹤點"
+  },
+  "details": {
+    "item": {
+      "title": "審查項目詳情",
+      "desc": "審查項目詳情",
+      "button": {
+        "share": "分享此審查項目",
+        "viewInExplore": "在瀏覽中查看"
+      },
+      "tips": {
+        "mismatch_other": "偵測到 {{count}} 個不可用的物件並包含在此審查項目中。這些物件可能未符合警報或偵測標準，或已被清除/刪除。",
+        "hasMissingObjects": "如果你想讓 Frigate 保存下列標籤的追蹤物件，請調整設定：<em>{{objects}}</em>"
+      },
+      "toast": {
+        "success": {
+          "updatedSublabel": "成功更新子標籤。",
+          "updatedLPR": "成功更新車牌號碼。",
+          "regenerate": "已從 {{provider}} 請求新的描述。根據提供者的速度，生成新的描述可能需要一些時間。"
+        },
+        "error": {
+          "regenerate": "呼叫 {{provider}} 以獲取新描述失敗：{{errorMessage}}",
+          "updatedSublabelFailed": "更新子標籤失敗：{{errorMessage}}",
+          "updatedLPRFailed": "更新車牌號碼失敗：{{errorMessage}}"
+        }
+      }
+    },
+    "label": "標籤",
+    "recognizedLicensePlate": "已識別車牌",
+    "estimatedSpeed": "預計速度",
+    "objects": "物件",
+    "camera": "鏡頭",
+    "zones": "區域",
+    "timestamp": "時間戳記",
+    "tips": {
+      "descriptionSaved": "成功保存描述",
+      "saveDescriptionFailed": "更新描述失敗：{{errorMessage}}"
+    },
+    "regenerateFromSnapshot": "從快照重新生成",
+    "button": {
+      "regenerate": {
+        "label": "重新生成追蹤物件描述",
+        "title": "重新生成"
+      },
+      "findSimilar": "尋找相似項目"
+    },
+    "description": {
+      "label": "描述",
+      "placeholder": "追蹤物件的描述",
+      "aiTips": "Frigate 會等到追蹤物件生命周期結束後，才向你的生成式 AI 提供者請求描述。"
+    },
+    "editLPR": {
+      "descNoLabel": "為此追蹤物件輸入新的車牌號碼",
+      "title": "編輯車牌號碼",
+      "desc": "為此 {{label}} 輸入新的車牌號碼"
+    },
+    "topScore": {
+      "label": "最高分數",
+      "info": "最高分數是追蹤物件的最高中位分數，因此可能與搜尋結果縮圖上顯示的分數不同。"
+    },
+    "editSubLabel": {
+      "desc": "為此 {{label}} 輸入新的子標籤",
+      "title": "編輯子標籤",
+      "descNoLabel": "為此追蹤物件輸入新的子標籤"
+    },
+    "snapshotScore": {
+      "label": "快照分數"
+    },
+    "expandRegenerationMenu": "展開重新生成選單",
+    "regenerateFromThumbnails": "從縮圖重新生成"
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "下載影片",
+      "aria": "下載影片"
+    },
+    "downloadSnapshot": {
+      "label": "下載快照",
+      "aria": "下載快照"
+    },
+    "viewObjectLifecycle": {
+      "label": "查看物件生命周期",
+      "aria": "顯示物件生命周期"
+    },
+    "findSimilar": {
+      "label": "尋找相似項目",
+      "aria": "尋找相似追蹤物件"
+    },
+    "submitToPlus": {
+      "label": "提交到 Frigate+",
+      "aria": "提交到 Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "在歷史記錄中查看",
+      "aria": "在歷史記錄中查看"
+    },
+    "deleteTrackedObject": {
+      "label": "刪除此追蹤物件"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "確認刪除",
+      "desc": "刪除此追蹤物件會移除快照、所有已保存的嵌入，以及相關的物件生命周期記錄。歷史記錄中的錄影<em>不會</em>被刪除。<br /><br />你確定要繼續嗎？"
+    }
+  },
+  "noTrackedObjects": "找不到追蹤物件",
+  "fetchingTrackedObjectsFailed": "取得追蹤物件時出錯：{{errorMessage}}",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "追蹤物件已成功刪除。",
+        "error": "刪除追蹤物件失敗：{{errorMessage}}"
+      }
+    },
+    "tooltip": "已配對{{type}}（{{confidence}}% 信心"
+  },
+  "trackedObjectsCount_other": "{{count}} 個追蹤物件 ",
+  "exploreMore": "瀏覽更多{{label}}物件"
+}
diff --git a/web/public/locales/yue-Hant/views/exports.json b/web/public/locales/yue-Hant/views/exports.json
new file mode 100644
index 000000000..48d839717
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "匯出 - Frigate",
+  "search": "搜尋",
+  "noExports": "未找到匯出項目",
+  "deleteExport": "刪除匯出",
+  "editExport": {
+    "title": "重新命名匯出",
+    "desc": "請輸入新的匯出名稱。",
+    "saveExport": "儲存匯出"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "重新命名匯出失敗：{{errorMessage}}"
+    }
+  },
+  "deleteExport.desc": "你確定要刪除 {{exportName}} 嗎？"
+}
diff --git a/web/public/locales/yue-Hant/views/faceLibrary.json b/web/public/locales/yue-Hant/views/faceLibrary.json
new file mode 100644
index 000000000..2c1e11b24
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/faceLibrary.json
@@ -0,0 +1,97 @@
+{
+  "selectItem": "選擇 {{item}}",
+  "details": {
+    "timestamp": "時間戳記",
+    "person": "人",
+    "confidence": "信心指數",
+    "face": "人臉詳細資料",
+    "faceDesc": "產生這個人臉的追蹤物件的詳細資料",
+    "scoreInfo": "子標籤分數是所有已識別人臉的信心值加權分數，因此可能與快照上顯示的分數不同。",
+    "subLabelScore": "子標籤分數",
+    "unknown": "未知"
+  },
+  "description": {
+    "addFace": "逐步了解如何新增一個人臉庫的集合。",
+    "placeholder": "請輸入此集合的名稱",
+    "invalidName": "名稱無效。名稱只可以包含英文字母、數字、空格、撇號（'）、底線（_）同連字號（-）。"
+  },
+  "documentTitle": "人臉庫 - Frigate",
+  "uploadFaceImage": {
+    "title": "上傳人臉圖片",
+    "desc": "上傳圖片以掃描人臉並納入 {{pageToggle}}"
+  },
+  "createFaceLibrary": {
+    "title": "建立集合",
+    "desc": "建立新集合",
+    "new": "建立新的人臉",
+    "nextSteps": "建立穩固基礎：<li>使用訓練分頁，為每位偵測到的人物選擇並訓練圖片。</li><li>以正面照片為主，避免用側面或傾斜角度的人臉作訓練。</li></ul>"
+  },
+  "steps": {
+    "faceName": "請輸入人臉名稱",
+    "uploadFace": "上傳人臉圖片",
+    "nextSteps": "下一步",
+    "description": {
+      "uploadFace": "請上載一張{{name}}面向鏡頭的相片。相片不需要裁剪至只顯示人臉。"
+    }
+  },
+  "train": {
+    "title": "訓練",
+    "aria": "選擇訓練",
+    "empty": "最近沒有人臉識別嘗試"
+  },
+  "selectFace": "選擇人臉",
+  "deleteFaceLibrary": {
+    "title": "刪除名稱",
+    "desc": "你確定要刪除集合 {{name}} 嗎？這將永久刪除所有相關的人臉資料。"
+  },
+  "renameFace": {
+    "title": "重新命名人臉",
+    "desc": "請輸入 {{name}} 的新名稱"
+  },
+  "button": {
+    "uploadImage": "上傳圖片",
+    "reprocessFace": "重新處理人臉",
+    "deleteFace": "刪除人臉",
+    "addFace": "新增人臉",
+    "deleteFaceAttempts": "刪除人臉",
+    "renameFace": "重新命名人臉"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "請選擇一個圖片檔案。"
+    },
+    "dropActive": "將圖片拖到這裡…",
+    "dropInstructions": "拖放圖片到此處，或點擊選取",
+    "maxSize": "最大檔案大小：{{size}}MB"
+  },
+  "readTheDocs": "閱讀文件",
+  "trainFaceAs": "將人臉訓練為：",
+  "trainFace": "訓練人臉",
+  "toast": {
+    "success": {
+      "uploadedImage": "成功上傳圖片。",
+      "renamedFace": "成功將人臉重新命名為 {{name}}",
+      "trainedFace": "成功訓練人臉。",
+      "updatedFaceScore": "成功更新人臉分數。",
+      "deletedFace_other": "成功刪除 {{count}} 個人臉。",
+      "addFaceLibrary": "{{name}} 已成功加入人臉庫！",
+      "deletedName_other": "成功刪除 {{count}} 個人臉。"
+    },
+    "error": {
+      "uploadingImageFailed": "上傳圖片失敗：{{errorMessage}}",
+      "addFaceLibraryFailed": "設定人臉名稱失敗：{{errorMessage}}",
+      "deleteFaceFailed": "刪除失敗：{{errorMessage}}",
+      "deleteNameFailed": "刪除名稱失敗：{{errorMessage}}",
+      "renameFaceFailed": "重新命名人臉失敗：{{errorMessage}}",
+      "trainFailed": "訓練失敗：{{errorMessage}}",
+      "updateFaceScoreFailed": "更新人臉分數失敗：{{errorMessage}}"
+    }
+  },
+  "collections": "集合",
+  "deleteFaceAttempts": {
+    "desc_other": "你確定要刪除{{count}}個人臉嗎？這個動作無法還原。",
+    "title": "刪除人臉"
+  },
+  "nofaces": "沒有可用人臉",
+  "pixels": "{{area}} 像素"
+}
diff --git a/web/public/locales/yue-Hant/views/live.json b/web/public/locales/yue-Hant/views/live.json
new file mode 100644
index 000000000..d9dda2630
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "即時畫面 - Frigate",
+  "cameraAudio": {
+    "disable": "停用鏡頭音訊",
+    "enable": "啟用鏡頭音訊"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "點擊畫面以置中鏡頭",
+        "enable": "啟用點擊移動",
+        "disable": "停用點擊移動"
+      },
+      "up": {
+        "label": "移動 PTZ 鏡頭向上"
+      },
+      "right": {
+        "label": "移動 PTZ 鏡頭向右"
+      },
+      "left": {
+        "label": "移動 PTZ 鏡頭向左"
+      },
+      "down": {
+        "label": "移動 PTZ 鏡頭向下"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "點擊畫面以置中 PTZ 鏡頭"
+      }
+    },
+    "presets": "PTZ 鏡頭預設位置",
+    "zoom": {
+      "in": {
+        "label": "放大 PTZ 鏡頭"
+      },
+      "out": {
+        "label": "縮小 PTZ 鏡頭"
+      }
+    }
+  },
+  "twoWayTalk": {
+    "enable": "啟用雙向通話",
+    "disable": "停用雙向通話"
+  },
+  "lowBandwidthMode": "低頻寬模式",
+  "documentTitle.withCamera": "{{camera}} - 即時畫面 - Frigate",
+  "recording": {
+    "disable": "停用錄影",
+    "enable": "啟用錄影"
+  },
+  "snapshots": {
+    "enable": "啟用快照",
+    "disable": "停用快照"
+  },
+  "audioDetect": {
+    "enable": "啟用音訊偵測",
+    "disable": "停用音訊偵測"
+  },
+  "autotracking": {
+    "enable": "啟用自動追蹤",
+    "disable": "停用自動追蹤"
+  },
+  "streamStats": {
+    "enable": "顯示串流統計資料",
+    "disable": "隱藏串流統計資料"
+  },
+  "manualRecording": {
+    "title": "按需錄影",
+    "tips": "根據此鏡頭的錄影保留設定手動啟動事件。",
+    "debugView": "除錯視圖",
+    "start": "開始按需錄影",
+    "showStats": {
+      "label": "顯示統計資料",
+      "desc": "啟用此選項可在鏡頭畫面上疊加串流統計資料。"
+    },
+    "playInBackground": {
+      "desc": "啟用此選項可在播放器隱藏時繼續串流播放。",
+      "label": "背景播放"
+    },
+    "started": "已開始手動按需錄影。",
+    "end": "結束按需錄影",
+    "ended": "已結束手動按需錄影。",
+    "failedToEnd": "無法結束手動按需錄影。",
+    "failedToStart": "無法開始手動按需錄影。",
+    "recordDisabledTips": "由於此鏡頭的設定已停用或限制錄影，因此只會儲存快照。"
+  },
+  "camera": {
+    "enable": "啟用鏡頭",
+    "disable": "停用鏡頭"
+  },
+  "muteCameras": {
+    "enable": "所有鏡頭靜音",
+    "disable": "所有鏡頭取消靜音"
+  },
+  "detect": {
+    "disable": "停用偵測",
+    "enable": "啟用偵測"
+  },
+  "streamingSettings": "串流設定",
+  "notifications": "通知",
+  "audio": "音訊",
+  "suspend": {
+    "forTime": "暫停時間： "
+  },
+  "stream": {
+    "title": "串流",
+    "audio": {
+      "tips": {
+        "documentation": "閱讀文件 ",
+        "title": "音訊必須從你的鏡頭輸出，並在 go2rtc 中正確設定此串流。"
+      },
+      "available": "此串流支援音訊",
+      "unavailable": "此串流不支援音訊"
+    },
+    "twoWayTalk": {
+      "tips.documentation": "閱讀文件 ",
+      "available": "此串流支援雙向通話",
+      "unavailable": "此串流不支援雙向通話",
+      "tips": "你的裝置必須支援此功能，且需設定 WebRTC 才能使用雙向通話。"
+    },
+    "lowBandwidth": {
+      "tips": "因緩衝或串流錯誤，即時畫面已切換至低頻寬模式。",
+      "resetStream": "重置串流"
+    },
+    "playInBackground": {
+      "tips": "啟用此選項可在播放器隱藏時繼續串流播放。",
+      "label": "背景播放"
+    }
+  },
+  "cameraSettings": {
+    "cameraEnabled": "鏡頭已啟用",
+    "objectDetection": "物件偵測",
+    "recording": "錄影",
+    "snapshots": "快照",
+    "autotracking": "自動追蹤",
+    "audioDetection": "音訊偵測",
+    "title": "{{camera}} 設定"
+  },
+  "history": {
+    "label": "顯示歷史影像"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "全部",
+      "motion": "移動",
+      "active_objects": "活躍物件"
+    },
+    "notAllTips": "你的 {{source}} 錄影保留設定為 <code>mode: {{effectiveRetainMode}}</code>，因此此按需錄影只會保留{{effectiveRetainModeName}}的片段。"
+  },
+  "editLayout": {
+    "label": "編輯版面配置",
+    "group": {
+      "label": "編輯鏡頭群組"
+    },
+    "exitEdit": "結束編輯"
+  }
+}
diff --git a/web/public/locales/yue-Hant/views/recording.json b/web/public/locales/yue-Hant/views/recording.json
new file mode 100644
index 000000000..34473d299
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "篩選",
+  "export": "匯出",
+  "calendar": "日曆",
+  "filters": "篩選條件",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "未選擇有效的時間範圍",
+      "endTimeMustAfterStartTime": "結束時間必須在開始時間之後"
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/views/search.json b/web/public/locales/yue-Hant/views/search.json
new file mode 100644
index 000000000..fea893191
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "搜尋",
+  "savedSearches": "已儲存的搜尋",
+  "searchFor": "搜尋 {{inputValue}}",
+  "button": {
+    "clear": "清除搜尋",
+    "save": "儲存搜尋",
+    "delete": "刪除已儲存的搜尋",
+    "filterInformation": "篩選資料",
+    "filterActive": "篩選中"
+  },
+  "trackedObjectId": "追蹤物件編號",
+  "filter": {
+    "label": {
+      "labels": "標籤",
+      "zones": "區域",
+      "search_type": "搜尋類型",
+      "time_range": "時間範圍",
+      "after": "之後",
+      "recognized_license_plate": "已辨識車牌",
+      "has_clip": "有片段",
+      "has_snapshot": "有快照",
+      "min_score": "最低分數",
+      "before": "之前",
+      "max_score": "最高分數",
+      "max_speed": "最高速度",
+      "min_speed": "最低速度",
+      "cameras": "鏡頭",
+      "sub_labels": "子標籤"
+    },
+    "searchType": {
+      "thumbnail": "縮圖",
+      "description": "描述"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "「結束」日期必須遲於「開始」日期。",
+        "afterDatebeEarlierBefore": "「開始」日期必須早於「結束」日期。",
+        "minScoreMustBeLessOrEqualMaxScore": "「最低分數」必須少於或等於「最高分數」。",
+        "maxScoreMustBeGreaterOrEqualMinScore": "「最高分數」必須多於或等於「最低分數」。",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "「最高速度」必須多於或等於「最低速度」。",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "「最低速度」必須少於或等於「最高速度」。"
+      }
+    },
+    "tips": {
+      "title": "如何使用文字篩選",
+      "desc": {
+        "step1": "輸入篩選鍵名後加上冒號（例如：\"cameras:\"）。",
+        "step2": "從建議中選擇一個值，或者自行輸入。",
+        "step3": "可以用空格隔開，連續使用多個篩選條件。",
+        "step4": "日期篩選（before: 同 after:）要用 {{DateFormat}} 格式。",
+        "step5": "時間範圍篩選要用 {{exampleTime}} 格式。",
+        "step6": "點擊旁邊的「x」就可以移除篩選條件。",
+        "text": "篩選可以幫你縮窄搜尋結果。以下係使用方法：",
+        "exampleLabel": "例子："
+      }
+    },
+    "header": {
+      "activeFilters": "啟用中的篩選條件",
+      "noFilters": "篩選條件",
+      "currentFilterType": "篩選數值"
+    }
+  },
+  "similaritySearch": {
+    "title": "相似搜尋",
+    "active": "正在進行相似搜尋",
+    "clear": "清除相似搜尋"
+  },
+  "placeholder": {
+    "search": "搜尋…"
+  }
+}
diff --git a/web/public/locales/yue-Hant/views/settings.json b/web/public/locales/yue-Hant/views/settings.json
new file mode 100644
index 000000000..a68c9d2bd
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/settings.json
@@ -0,0 +1,680 @@
+{
+  "documentTitle": {
+    "default": "設定 - Frigate",
+    "authentication": "認證設定 - Frigate",
+    "camera": "鏡頭設定 - Frigate",
+    "classification": "進階功能設定 - Frigate",
+    "masksAndZones": "遮罩與區域編輯器 - Frigate",
+    "motionTuner": "移動調校器 - Frigate",
+    "object": "除錯 - Frigate",
+    "general": "一般設定 - Frigate",
+    "frigatePlus": "Frigate+ 設定 - Frigate",
+    "notifications": "通知設定 - Frigate",
+    "enrichments": "進階功能設定 - Frigate"
+  },
+  "menu": {
+    "ui": "介面",
+    "classification": "進階功能",
+    "cameras": "鏡頭設定",
+    "masksAndZones": "遮罩／區域",
+    "motionTuner": "移動調校器",
+    "debug": "除錯",
+    "users": "用戶",
+    "notifications": "通知",
+    "frigateplus": "Frigate+",
+    "enrichments": "進階功能"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "你有未儲存的更改。",
+      "desc": "你想在繼續前儲存更改嗎？"
+    }
+  },
+  "cameraSetting": {
+    "camera": "鏡頭",
+    "noCamera": "沒有鏡頭"
+  },
+  "general": {
+    "title": "一般設定",
+    "liveDashboard": {
+      "playAlertVideos": {
+        "label": "播放警報影片",
+        "desc": "預設情況下，即時儀表板上的最近警報會以小型循環影片形式播放。停用此選項後，只會在此裝置／瀏覽器上顯示警報的靜態圖片。"
+      },
+      "automaticLiveView": {
+        "label": "自動即時檢視",
+        "desc": "當偵測到活動時，自動切換到該鏡頭的即時畫面。若停用此選項，即時儀表板上的鏡頭靜態畫面將每分鐘只更新一次。"
+      },
+      "title": "即時儀表板"
+    },
+    "storedLayouts": {
+      "title": "儲存的版面配置",
+      "clearAll": "清除所有版面配置",
+      "desc": "鏡頭群組內的鏡頭佈局可以拖動或調整大小。位置會儲存在你瀏覽器的本機儲存空間內。"
+    },
+    "cameraGroupStreaming": {
+      "title": "鏡頭群組串流設定",
+      "clearAll": "清除所有串流設定",
+      "desc": "每個鏡頭群組的串流設定會儲存在你瀏覽器的本機儲存空間內。"
+    },
+    "recordingsViewer": {
+      "defaultPlaybackRate": {
+        "desc": "錄影播放的預設播放速度。",
+        "label": "預設播放速度"
+      },
+      "title": "錄影瀏覽器"
+    },
+    "calendar": {
+      "title": "日曆",
+      "firstWeekday": {
+        "label": "每星期的第一天",
+        "sunday": "星期日",
+        "monday": "星期一",
+        "desc": "審查日曆中每星期開始的日子。"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "已清除 {{cameraName}} 的儲存版面配置",
+        "clearStreamingSettings": "已清除所有鏡頭群組的串流設定。"
+      },
+      "error": {
+        "clearStoredLayoutFailed": "清除儲存版面配置失敗：{{errorMessage}}",
+        "clearStreamingSettingsFailed": "清除串流設定失敗：{{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "birdClassification": {
+      "desc": "鳥類分類會使用量化 Tensorflow 模型識別已知鳥類。當辨識到已知鳥類時，牠的常見名稱會加到子標籤上。此資訊會顯示在介面、篩選器及通知中。",
+      "title": "鳥類分類"
+    },
+    "semanticSearch": {
+      "title": "語意搜尋",
+      "desc": "Frigate 的語意搜尋功能讓你可以利用影像本身、自訂文字描述，或自動產生的描述，在審查項目中尋找已追蹤的物件。",
+      "readTheDocumentation": "閱讀文件",
+      "reindexNow": {
+        "label": "立即重建索引",
+        "confirmTitle": "確認重建索引",
+        "confirmButton": "重建索引",
+        "success": "重建索引已成功開始。",
+        "alreadyInProgress": "重建索引已在進行中。",
+        "error": "啟動重建索引失敗：{{errorMessage}}",
+        "confirmDesc": "你確定要重建索引所有已追蹤物件的嵌入向量嗎？這個過程會在背景運行，但可能會用盡你的 CPU，而且需要一定時間。你可以在「瀏覽」頁面查看進度。",
+        "desc": "重建索引會為所有已追蹤物件重新生成嵌入向量。這個過程會在背景運行，可能會用盡你的 CPU，所需時間取決於已追蹤物件的數量。"
+      },
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用於語意搜尋的模型大小。",
+        "small": {
+          "title": "小型",
+          "desc": "使用<em>小型</em>模型會採用量化版本，較少佔用 RAM，在 CPU 上運行更快，而嵌入品質的差異非常細微。"
+        },
+        "large": {
+          "title": "大型",
+          "desc": "使用<em>大型</em>模型會採用完整的 Jina 模型，並在適用情況下自動於 GPU 上運行。"
+        }
+      }
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "small": {
+          "title": "小型",
+          "desc": "使用<em>小型</em>模型會採用 FaceNet 臉部嵌入模型，在大多數 CPU 上能有效運行。"
+        },
+        "large": {
+          "title": "大型",
+          "desc": "使用<em>大型</em>模型會採用 ArcFace 臉部嵌入模型，並在適用情況下自動於 GPU 上運行。"
+        },
+        "label": "模型大小",
+        "desc": "用於人臉識別的模型大小。"
+      },
+      "readTheDocumentation": "閱讀文件",
+      "title": "人臉識別",
+      "desc": "人臉識別功能允許為人物分配名字，當辨識到他們的臉孔時，Frigate 會將名字加到子標籤上。此資訊會顯示於介面、篩選器及通知中。"
+    },
+    "licensePlateRecognition": {
+      "title": "車牌識別",
+      "readTheDocumentation": "閱讀文件",
+      "desc": "Frigate 可以識別車輛上的車牌，自動將偵測到的字元加到已辨識車牌欄位，或將已知名稱加到屬於車輛類型的物件的子標籤上。常見用途包括讀取駛入車道或在街道上駛過的車輛的車牌。"
+    },
+    "restart_required": "需要重新啟動（分類設定已變更）",
+    "toast": {
+      "error": "儲存設定變更失敗：{{errorMessage}}",
+      "success": "分類設定已儲存。請重新啟動 Frigate 以套用你的更改。"
+    },
+    "title": "進階功能設定",
+    "unsavedChanges": "進階功能設定更改尚未儲存"
+  },
+  "camera": {
+    "title": "鏡頭設定",
+    "streams": {
+      "title": "串流",
+      "desc": "暫時停用鏡頭直到Frigate重新啟動。停用鏡頭會完全停止 Frigate 處理此鏡頭的串流。將會無法使用偵測、錄影和除錯功能。<br /><em>注意：這不會停用 go2rtc 的轉播功能。</em>"
+    },
+    "review": {
+      "title": "審查",
+      "desc": "暫時啟用或停用此鏡頭的警報和偵測直到Frigate重新啟動。停用後，將不會產生新的審查項目。 ",
+      "alerts": "警報 ",
+      "detections": "偵測 "
+    },
+    "reviewClassification": {
+      "readTheDocumentation": "閱讀文件",
+      "noDefinedZones": "此鏡頭未定義任何區域。",
+      "zoneObjectAlertsTips": "在{{cameraName}}的{{zone}}區域偵測到的所有{{alertsLabels}}物件將會顯示為警報。",
+      "objectDetectionsTips": "無論位於哪個區域，在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
+      "objectAlertsTips": "在{{cameraName}}上所有{{alertsLabels}}物件將會顯示為警報。",
+      "zoneObjectDetectionsTips": {
+        "text": "在{{cameraName}}的{{zone}}區域內所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
+        "regardlessOfZoneObjectDetectionsTips": "無論位於哪個區域，在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
+        "notSelectDetections": "無論位於哪個區域，在{{cameraName}}的{{zone}}區域偵測到、但未分類為警報的{{detectionsLabels}}物件將會顯示為偵測結果。"
+      },
+      "selectDetectionsZones": "選擇偵測的區域",
+      "limitDetections": "限制偵測至特定區域",
+      "title": "審查分類",
+      "desc": "Frigate會將審查項目分類為「警報」同「偵測」。預設情況下，所有<em>人</em>同<em>車</em> 的物件都會被視為警報。你可以透過設定所需區域，細分審查項目分類。",
+      "selectAlertsZones": "選擇警報的區域",
+      "toast": {
+        "success": "審查分類設定已儲存。請重新啟動Frigate以套用更改。"
+      },
+      "unsavedChanges": "{{camera}}的審查分類設定尚未儲存"
+    }
+  },
+  "masksAndZones": {
+    "toast": {
+      "error": {
+        "copyCoordinatesFailed": "無法將座標複製到剪貼簿。"
+      },
+      "success": {
+        "copyCoordinates": "已將{{polyName}}的座標複製到剪貼簿。"
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "區域名稱必須至少有2個字元。",
+          "mustNotBeSameWithCamera": "區域名稱不得與鏡頭名稱相同。",
+          "alreadyExists": "此鏡頭已存在相同名稱的區域。",
+          "mustNotContainPeriod": "區域名稱不可包含句號。",
+          "hasIllegalCharacter": "區域名稱包含非法字元。"
+        }
+      },
+      "distance": {
+        "error": {
+          "mustBeFilled": "必須填寫所有距離欄位，才能使用速度估算功能。",
+          "text": "距離必須大於或等於0.1。"
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "慣性值必須大於0。"
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "逗留時間必須大於或等於0。"
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "移除最後一個點",
+        "delete": {
+          "title": "確認刪除",
+          "desc": "確定要刪除{{type}} <em>{{name}}</em>嗎？",
+          "success": "已刪除{{name}}。"
+        },
+        "error": {
+          "mustBeFinished": "必須完成多邊形繪製後才能儲存。"
+        },
+        "snapPoints": {
+          "false": "不對齊點",
+          "true": "對齊點"
+        },
+        "reset": {
+          "label": "清除所有點"
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "速度閾值必須大於或等於 0.1。"
+        }
+      }
+    },
+    "zones": {
+      "label": "區域",
+      "add": "新增區域",
+      "edit": "編輯區域",
+      "point_other": "{{count}}個點",
+      "clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
+      "name": {
+        "title": "名稱",
+        "inputPlaceHolder": "請輸入名稱…",
+        "tips": "名稱必須至少有2個字元，且不可與鏡頭或其他區域同名。"
+      },
+      "inertia": {
+        "title": "慣性",
+        "desc": "指定物件需在區域內停留多少個畫格，才會被視為進入該區域。<em>預設：3</em>"
+      },
+      "loiteringTime": {
+        "desc": "設定物件必須於區域內停留的最少秒數，以觸發動作。<em>預設：0</em>",
+        "title": "逗留時間"
+      },
+      "objects": {
+        "title": "物件",
+        "desc": "此區域適用的物件列表。"
+      },
+      "allObjects": "所有物件",
+      "speedEstimation": {
+        "title": "速度估算",
+        "desc": "啟用此區域內物件的速度估算。區域必須正好有4個點。",
+        "docs": "閱讀文件",
+        "lineCDistance": "C 線距離 ({{unit}})",
+        "lineBDistance": "B 線距離 ({{unit}})",
+        "lineADistance": "A 線距離 ({{unit}})",
+        "lineDDistance": "D 線距離 ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "速度門檻 ({{unit}})",
+        "desc": "指定物件於此區域被視為有效時所需的最小速度。",
+        "toast": {
+          "error": {
+            "loiteringTimeError": "設有逗留時間大於0的區域，不應同時使用速度估算功能。",
+            "pointLengthError": "此區域已停用速度估算功能。啟用速度估算的區域必須正好有4個點。"
+          }
+        }
+      },
+      "toast": {
+        "success": "區域（{{zoneName}}）已儲存。請重新啟動Frigate以套用更改。"
+      },
+      "desc": {
+        "title": "區域可讓你定義畫面中的特定範圍，以判斷物件是否進入該範圍。",
+        "documentation": "文件"
+      },
+      "documentTitle": "編輯區域 - Frigate"
+    },
+    "motionMasks": {
+      "label": "移動遮罩",
+      "documentTitle": "編輯移動遮罩 - Frigate",
+      "desc": {
+        "title": "移動遮罩可防止不需要的移動觸發偵測。遮罩過多會令物件追蹤變得困難。",
+        "documentation": "文件"
+      },
+      "edit": "編輯移動遮罩",
+      "point_other": "{{count}}個點",
+      "clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
+      "polygonAreaTooLarge": {
+        "title": "移動遮罩覆蓋了鏡頭畫面{{polygonArea}}%。建議不要使用過大的遮罩。",
+        "tips": "移動遮罩無法阻止物件被偵測，應使用必要區域來限制範圍。",
+        "documentation": "閱讀文件"
+      },
+      "context": {
+        "title": "移動遮罩用於防止某些不需要的移動（如樹枝晃動、鏡頭時間戳記）觸發偵測。移動遮罩應該<em>非常謹慎</em>使用，過度遮罩會令物件追蹤更加困難。",
+        "documentation": "閱讀文件"
+      },
+      "add": "新增移動遮罩",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}}已儲存。請重新啟動Frigate以套用更改。",
+          "noName": "移動遮罩已儲存。請重新啟動Frigate以套用更改。"
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "物件遮罩",
+      "desc": {
+        "documentation": "文件",
+        "title": "物件過濾遮罩根據位置，過濾指定物件類型的誤判偵測。"
+      },
+      "add": "新增物件遮罩",
+      "context": "物件過濾遮罩根據位置，過濾指定物件類型的誤判偵測。",
+      "point_other": "{{count}}個點",
+      "clickDrawPolygon": "在圖片上點擊以繪製多邊形。",
+      "objects": {
+        "title": "物件",
+        "desc": "此物件遮罩適用的物件類型。",
+        "allObjectTypes": "所有物件類型"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}}已儲存。請重新啟動Frigate以套用更改。",
+          "noName": "物件遮罩已儲存。請重新啟動Frigate以套用更改。"
+        }
+      },
+      "documentTitle": "編輯物件遮罩 - Frigate",
+      "edit": "編輯物件遮罩"
+    },
+    "filter": {
+      "all": "所有遮罩與區域"
+    },
+    "restart_required": "需要重新啟動（遮罩／區域已變更）",
+    "motionMaskLabel": "移動遮罩 {{number}}",
+    "objectMaskLabel": "物件遮罩 {{number}}（{{label}}"
+  },
+  "motionDetectionTuner": {
+    "title": "移動偵測調校器",
+    "desc": {
+      "title": "Frigate首先利用移動偵測作初步篩選，以判斷畫面中是否出現值得進行物件偵測的情況。",
+      "documentation": "閱讀移動調整指南"
+    },
+    "Threshold": {
+      "title": "門檻",
+      "desc": "門檻值決定像素亮度變化多少才會被視為移動。<em>預設：30</em>"
+    },
+    "contourArea": {
+      "title": "輪廓面積",
+      "desc": "輪廓面積值用來決定哪些變化像素群符合移動標準。<em>預設：10</em>"
+    },
+    "improveContrast": {
+      "title": "改善對比度",
+      "desc": "改善黑暗場景的對比度。<em>預設：開啟</em>"
+    },
+    "toast": {
+      "success": "移動設定已儲存。"
+    },
+    "unsavedChanges": "{{camera}}的移動調校設定尚未儲存"
+  },
+  "debug": {
+    "title": "除錯",
+    "objectList": "物件列表",
+    "noObjects": "沒有物件",
+    "boundingBoxes": {
+      "title": "邊框框線",
+      "colors": {
+        "info": "<li>啟動時，系統會為每個物件標籤指派不同顏色</li><li>深藍色幼線代表目前沒有偵測到該物件</li><li>灰色幼線代表該物件被偵測為靜止狀態</li><li>粗線代表該物件正被自動追蹤（若已啟用）</li>",
+        "label": "物件邊框顏色"
+      },
+      "desc": "顯示追蹤物件周圍的邊框"
+    },
+    "zones": {
+      "title": "區域",
+      "desc": "顯示所有已定義區域的輪廓"
+    },
+    "motion": {
+      "title": "移動方框",
+      "desc": "顯示偵測到移動的區域方框",
+      "tips": "<p><strong>移動方框</strong></p><p>畫面中偵測到移動的地方將會顯示亮紅色方框</p>"
+    },
+    "regions": {
+      "desc": "顯示屬於物件偵測器感興趣範圍的方框",
+      "title": "偵測區",
+      "tips": "<p><strong>偵測區方框</strong></p><p>畫面中屬於物件偵測器感興趣的地方將會顯示亮綠色方框，並且進行分析</p>"
+    },
+    "desc": "除錯畫面會即時顯示追蹤到的物件及統計資料。物件列表則顯示偵測到物件的延遲總結。",
+    "timestamp": {
+      "title": "時間戳記",
+      "desc": "在圖片上疊加時間戳記"
+    },
+    "detectorDesc": "Frigate 使用你的偵測器（{{detectors}}）來偵測鏡頭影片串流中的物件。",
+    "debugging": "除錯中",
+    "mask": {
+      "title": "移動遮罩",
+      "desc": "顯示移動遮罩多邊形"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "物件形狀篩選繪圖",
+      "document": "閱讀文件 ",
+      "score": "分數",
+      "area": "面積",
+      "ratio": "比例",
+      "desc": "在圖片上畫矩形以查看面積與比例詳情",
+      "tips": "啟用此選項後，會於鏡頭畫面上繪製矩形，以顯示其面積及比例。這些數值可用於設定物件形狀過濾參數。"
+    }
+  },
+  "users": {
+    "management": {
+      "desc": "管理此Frigate個體的用戶帳戶。",
+      "title": "用戶管理"
+    },
+    "addUser": "新增用戶",
+    "updatePassword": "更新密碼",
+    "toast": {
+      "success": {
+        "createUser": "成功建立用戶{{user}}",
+        "deleteUser": "成功刪除用戶{{user}}",
+        "roleUpdated": "成功更新{{user}}的角色",
+        "updatePassword": "成功更新密碼。"
+      },
+      "error": {
+        "createUserFailed": "建立用戶失敗：{{errorMessage}}",
+        "roleUpdateFailed": "更新角色失敗：{{errorMessage}}",
+        "setPasswordFailed": "儲存密碼失敗：{{errorMessage}}",
+        "deleteUserFailed": "刪除用戶失敗：{{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "用戶名稱",
+      "role": "角色",
+      "noUsers": "找不到用戶。",
+      "changeRole": "更改用戶角色",
+      "password": "密碼",
+      "deleteUser": "刪除用戶",
+      "actions": "操作"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "用戶名稱",
+          "desc": "只允許使用字母、數字、句號及底線。",
+          "placeholder": "輸入用戶名稱"
+        },
+        "password": {
+          "title": "密碼",
+          "placeholder": "輸入密碼",
+          "confirm": {
+            "placeholder": "確認密碼",
+            "title": "確認密碼"
+          },
+          "strength": {
+            "title": "密碼強度： ",
+            "weak": "弱",
+            "medium": "中等",
+            "strong": "強",
+            "veryStrong": "非常強"
+          },
+          "match": "密碼相符",
+          "notMatch": "密碼不相符"
+        },
+        "newPassword": {
+          "confirm": {
+            "placeholder": "重新輸入新密碼"
+          },
+          "title": "新密碼",
+          "placeholder": "輸入新密碼"
+        },
+        "usernameIsRequired": "必須輸入用戶名稱",
+        "passwordIsRequired": "必須填寫密碼"
+      },
+      "createUser": {
+        "title": "建立新用戶",
+        "desc": "新增用戶帳戶，並指定可存取Frigate介面各區域的角色。",
+        "usernameOnlyInclude": "用戶名稱只可包含字母、數字、句號或底線",
+        "confirmPassword": "請確認你的密碼"
+      },
+      "deleteUser": {
+        "title": "刪除用戶",
+        "desc": "此操作無法還原，將會永久刪除用戶帳戶及所有相關資料。",
+        "warn": "確定要刪除<strong>{{username}}</strong>嗎？"
+      },
+      "changeRole": {
+        "title": "更改用戶角色",
+        "desc": "更新<strong>{{username}}</strong>的權限",
+        "roleInfo": {
+          "intro": "為此用戶選擇合適的角色：",
+          "adminDesc": "可使用所有功能。",
+          "viewer": "觀看者",
+          "viewerDesc": "只限使用即時儀表板、審查、瀏覽及匯出功能。",
+          "admin": "管理員"
+        },
+        "select": "選擇角色"
+      },
+      "passwordSetting": {
+        "setPassword": "設定密碼",
+        "updatePassword": "更新{{username}}的密碼",
+        "desc": "建立強密碼以保障此帳戶安全。",
+        "cannotBeEmpty": "密碼不能留空",
+        "doNotMatch": "密碼不相符"
+      }
+    },
+    "title": "用戶"
+  },
+  "notification": {
+    "title": "通知",
+    "notificationSettings": {
+      "title": "通知設定",
+      "desc": "Frigate可原生向你的裝置推送通知，無論在瀏覽器中運行或安裝為PWA。",
+      "documentation": "閱讀文件"
+    },
+    "notificationUnavailable": {
+      "title": "無法使用通知功能",
+      "desc": "網頁推送通知需在安全環境下運作（<code>https://…</code>），這是瀏覽器的限制。請透過安全連線存取Frigate以使用通知功能。",
+      "documentation": "閱讀文件"
+    },
+    "globalSettings": {
+      "title": "全域設定",
+      "desc": "暫停所有已註冊裝置上特定鏡頭的通知。"
+    },
+    "email": {
+      "placeholder": "例如：example@email.com",
+      "desc": "需要提供有效的電郵地址，若推送服務出現問題，將會透過此地址通知你。",
+      "title": "電郵地址"
+    },
+    "cameras": {
+      "title": "鏡頭",
+      "noCameras": "沒有可用鏡頭",
+      "desc": "選擇啟用通知功能的鏡頭。"
+    },
+    "deviceSpecific": "裝置專屬設定",
+    "registerDevice": "登記此裝置",
+    "unregisterDevice": "取消登記此裝置",
+    "sendTestNotification": "發送測試通知",
+    "active": "通知功能已啟用",
+    "suspended": "通知功能已暫停{{time}}",
+    "suspendTime": {
+      "10minutes": "暫停10分鐘",
+      "12hours": "暫停12小時",
+      "30minutes": "暫停30分鐘",
+      "24hours": "暫停24小時",
+      "5minutes": "暫停5分鐘",
+      "1hour": "暫停1小時",
+      "untilRestart": "暫停至重新啟動",
+      "suspend": "暫停"
+    },
+    "toast": {
+      "error": {
+        "registerFailed": "儲存通知登記失敗。"
+      },
+      "success": {
+        "registered": "成功登記通知功能。必須重新啟動Frigate後，才能發送任何通知（包括測試通知）。",
+        "settingSaved": "通知設定已儲存。"
+      }
+    },
+    "cancelSuspension": "取消暫停",
+    "unsavedRegistrations": "通知註冊尚未儲存",
+    "unsavedChanges": "通知設定更改尚未儲存"
+  },
+  "frigatePlus": {
+    "title": "Frigate+設定",
+    "apiKey": {
+      "title": "Frigate+ API金鑰",
+      "validated": "已偵測並驗證Frigate+ API金鑰",
+      "notValidated": "未偵測到Frigate+ API金鑰或驗證失敗",
+      "desc": "Frigate+ API金鑰可啟用與Frigate+服務的整合功能。",
+      "plusLink": "了解更多Frigate+資料"
+    },
+    "snapshotConfig": {
+      "title": "快照設定",
+      "documentation": "閱讀文件",
+      "table": {
+        "camera": "鏡頭",
+        "snapshots": "快照",
+        "cleanCopySnapshots": "<code>clean_copy</code> 快照"
+      },
+      "cleanCopyWarning": "部分鏡頭已啟用快照，但未啟用乾淨副本。你必須於快照設定中啟用<code>clean_copy</code>，才能從這些鏡頭提交影像至Frigate+。",
+      "desc": "提交至Frigate+需要在設定中同時啟用快照及<code>clean_copy</code>快照功能。"
+    },
+    "modelInfo": {
+      "title": "模型資料",
+      "modelType": "模型類型",
+      "trainDate": "訓練日期",
+      "baseModel": "基礎模型",
+      "plusModelType": {
+        "baseModel": "基礎模型",
+        "userModel": "微調"
+      },
+      "supportedDetectors": "支援的偵測器",
+      "cameras": "鏡頭",
+      "availableModels": "可用模型",
+      "loadingAvailableModels": "正在載入可用模型…",
+      "modelSelect": "可於此選擇你在Frigate+上的可用模型。請注意，只能選擇與當前偵測器設定相容的模型。",
+      "loading": "正在載入模型資料…",
+      "error": "載入模型資料失敗"
+    },
+    "toast": {
+      "error": "儲存設定變更失敗：{{errorMessage}}",
+      "success": "Frigate+設定已儲存。請重新啟動Frigate以套用更改。"
+    },
+    "restart_required": "需要重新啟動（已更改Frigate+模型）",
+    "unsavedChanges": "Frigate+ 設定更改尚未儲存"
+  },
+  "enrichments": {
+    "faceRecognition": {
+      "modelSize": {
+        "large": {
+          "title": "大型",
+          "desc": "使用<em>大型</em>模型會採用 ArcFace 臉部嵌入模型，並在適用情況下自動於 GPU 上運行。"
+        },
+        "desc": "用於人臉識別的模型大小。",
+        "label": "模型大小",
+        "small": {
+          "title": "小型",
+          "desc": "使用<em>小型</em>模型會採用 FaceNet 臉部嵌入模型，在大多數 CPU 上能有效運行。"
+        }
+      },
+      "desc": "人臉識別功能允許為人物分配名字，當辨識到他們的臉孔時，Frigate 會將名字加到子標籤上。此資訊會顯示於介面、篩選器及通知中。",
+      "title": "人臉識別",
+      "readTheDocumentation": "閱讀文件"
+    },
+    "birdClassification": {
+      "title": "鳥類分類",
+      "desc": "鳥類分類會使用量化 Tensorflow 模型識別已知鳥類。當辨識到已知鳥類時，牠的常見名稱會加到子標籤上。此資訊會顯示在介面、篩選器及通知中。"
+    },
+    "semanticSearch": {
+      "desc": "Frigate 的語意搜尋功能讓你可以利用影像本身、自訂文字描述，或自動產生的描述，在審查項目中尋找已追蹤的物件。",
+      "reindexNow": {
+        "confirmDesc": "你確定要重建索引所有已追蹤物件的嵌入向量嗎？這個過程會在背景運行，但可能會用盡你的 CPU，而且需要一定時間。你可以在「瀏覽」頁面查看進度。",
+        "label": "立即重建索引",
+        "desc": "重建索引會為所有已追蹤物件重新生成嵌入向量。這個過程會在背景運行，可能會用盡你的 CPU，所需時間取決於已追蹤物件的數量。",
+        "confirmTitle": "確認重建索引",
+        "confirmButton": "重建索引",
+        "success": "重建索引已成功開始。",
+        "alreadyInProgress": "重建索引已在進行中。",
+        "error": "啟動重建索引失敗：{{errorMessage}}"
+      },
+      "title": "語意搜尋",
+      "readTheDocumentation": "閱讀文件",
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用於語意搜尋的模型大小。",
+        "small": {
+          "title": "小型",
+          "desc": "使用<em>小型</em>模型會採用量化版本，較少佔用 RAM，在 CPU 上運行更快，而嵌入品質的差異非常細微。"
+        },
+        "large": {
+          "title": "大型",
+          "desc": "使用<em>大型</em>模型會採用完整的 Jina 模型，並在適用情況下自動於 GPU 上運行。"
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "車牌識別",
+      "desc": "Frigate 可以識別車輛上的車牌，自動將偵測到的字元加到已辨識車牌欄位，或將已知名稱加到屬於車輛類型的物件的子標籤上。常見用途包括讀取駛入車道或在街道上駛過的車輛的車牌。",
+      "readTheDocumentation": "閱讀文件"
+    },
+    "title": "進階功能設定",
+    "unsavedChanges": "未儲存進階功能設定變更",
+    "restart_required": "需要重新啟動（進階功能設定已變更）",
+    "toast": {
+      "success": "進階功能設定已儲存。請重新啟動 Frigate 以套用你的更改。",
+      "error": "儲存設定變更失敗：{{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/yue-Hant/views/system.json b/web/public/locales/yue-Hant/views/system.json
new file mode 100644
index 000000000..8accc5bb1
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "鏡頭統計 - Frigate",
+    "storage": "儲存裝置統計 - Frigate",
+    "general": "一般統計 - Frigate",
+    "enrichments": "進階功能統計 - Frigate",
+    "logs": {
+      "frigate": "Frigate 日誌 - Frigate",
+      "nginx": "Nginx 日誌 - Frigate",
+      "go2rtc": "Go2RTC 日誌 - Frigate"
+    }
+  },
+  "title": "系統",
+  "metrics": "系統指標",
+  "logs": {
+    "download": {
+      "label": "下載日誌"
+    },
+    "type": {
+      "timestamp": "時間戳記",
+      "tag": "標籤",
+      "message": "訊息",
+      "label": "類型"
+    },
+    "tips": "正在從伺服器串流日誌",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "擷取日誌時出錯：{{errorMessage}}",
+        "whileStreamingLogs": "串流日誌時出錯：{{errorMessage}}"
+      }
+    },
+    "copy": {
+      "error": "無法將日誌複製到剪貼簿",
+      "label": "複製到剪貼簿",
+      "success": "已將日誌複製到剪貼簿"
+    }
+  },
+  "general": {
+    "detector": {
+      "inferenceSpeed": "偵測器推理速度",
+      "memoryUsage": "偵測器記憶體使用量",
+      "title": "偵測器",
+      "cpuUsage": "偵測器 CPU 使用率",
+      "temperature": "偵測器溫度"
+    },
+    "hardwareInfo": {
+      "gpuUsage": "GPU 使用率",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "processOutput": "程序輸出：",
+          "processError": "程序錯誤：",
+          "title": "Vainfo 輸出",
+          "returnCode": "返回代碼：{{code}}"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI 輸出",
+          "vbios": "VBios 資訊：{{vbios}}",
+          "cudaComputerCapability": "CUDA 計算能力：{{cuda_compute}}",
+          "name": "名稱：{{name}}",
+          "driver": "驅動程式：{{driver}}"
+        },
+        "closeInfo": {
+          "label": "關閉 GPU 資訊"
+        },
+        "toast": {
+          "success": "已將 GPU 資訊複製到剪貼簿"
+        },
+        "copyInfo": {
+          "label": "複製 GPU 資訊"
+        }
+      },
+      "title": "硬件資訊",
+      "npuUsage": "NPU 使用率",
+      "gpuMemory": "GPU 記憶體",
+      "gpuEncoder": "GPU 編碼器",
+      "gpuDecoder": "GPU 解碼器",
+      "npuMemory": "NPU 記憶體"
+    },
+    "otherProcesses": {
+      "title": "其他程序",
+      "processCpuUsage": "程序 CPU 使用率",
+      "processMemoryUsage": "程序記憶體使用量"
+    },
+    "title": "一般"
+  },
+  "storage": {
+    "title": "儲存裝置",
+    "overview": "概覽",
+    "recordings": {
+      "title": "錄影檔案",
+      "earliestRecording": "最早可用錄影檔案：",
+      "tips": "此數值代表 Frigate 資料庫中錄影檔案的總儲存使用量。Frigate 不會追蹤磁碟上所有檔案的儲存使用量。"
+    },
+    "cameraStorage": {
+      "camera": "鏡頭",
+      "unusedStorageInformation": "未使用儲存資訊",
+      "storageUsed": "已使用儲存",
+      "bandwidth": "每小時使用量",
+      "unused": {
+        "tips": "若您的磁碟中存有其他檔案，該數值可能無法準確反映 Frigate 可用的空間。Frigate 只追蹤其錄影檔案的儲存使用量。",
+        "title": "未使用"
+      },
+      "title": "鏡頭儲存",
+      "percentageOfTotalUsed": "佔總量百分比"
+    }
+  },
+  "cameras": {
+    "info": {
+      "streamDataFromFFPROBE": "串流資料是透過 <code>ffprobe</code> 取得。",
+      "fetching": "正在取得鏡頭資料",
+      "video": "影片：",
+      "codec": "編碼器：",
+      "resolution": "解像度：",
+      "tips": {
+        "title": "鏡頭詳細資訊"
+      },
+      "stream": "串流 {{idx}}",
+      "audio": "音訊：",
+      "fps": "每秒影格數 (FPS)：",
+      "unknown": "未知",
+      "error": "錯誤：{{error}}",
+      "cameraProbeInfo": "{{camera}} 鏡頭詳細資訊",
+      "aspectRatio": "長寬比"
+    },
+    "framesAndDetections": "畫面 / 偵測",
+    "label": {
+      "camera": "鏡頭",
+      "detect": "偵測",
+      "skipped": "略過",
+      "ffmpeg": "FFmpeg",
+      "capture": "讀取影像",
+      "overallFramesPerSecond": "整體每秒畫面數",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraDetect": "{{camName}} 偵測",
+      "cameraFramesPerSecond": "{{camName}} 每秒畫面數",
+      "cameraDetectionsPerSecond": "{{camName}} 每秒偵測次數",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} 每秒略過偵測次數",
+      "overallSkippedDetectionsPerSecond": "整體每秒略過偵測次數",
+      "cameraCapture": "{{camName}} 讀取影像",
+      "overallDetectionsPerSecond": "整體每秒偵測次數"
+    },
+    "title": "鏡頭",
+    "overview": "概覽",
+    "toast": {
+      "success": {
+        "copyToClipboard": "已將鏡頭資料複製到剪貼簿。"
+      },
+      "error": {
+        "unableToProbeCamera": "無法取得鏡頭資料：{{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "最後更新： ",
+  "stats": {
+    "detectIsSlow": "{{detect}} 偵測速度慢 ({{speed}} 毫秒)",
+    "detectIsVerySlow": "{{detect}} 偵測速度非常慢 ({{speed}} 毫秒)",
+    "cameraIsOffline": "{{camera}} 已離線",
+    "detectHighCpuUsage": "{{camera}} 的偵測 CPU 使用率過高 ({{detectAvg}}%)",
+    "healthy": "系統運作正常",
+    "ffmpegHighCpuUsage": "{{camera}} 的 FFmpeg CPU 使用率過高 ({{ffmpegAvg}}%)",
+    "reindexingEmbeddings": "重新索引嵌入資料 (已完成 {{processed}}%)"
+  },
+  "enrichments": {
+    "title": "進階功能",
+    "infPerSecond": "每秒推理次數",
+    "embeddings": {
+      "image_embedding": "圖片嵌入",
+      "face_embedding_speed": "人臉嵌入速度",
+      "face_recognition_speed": "人臉辨識速度",
+      "plate_recognition_speed": "車牌辨識速度",
+      "face_recognition": "人臉辨識",
+      "text_embedding": "文字嵌入",
+      "yolov9_plate_detection": "YOLOv9 車牌偵測",
+      "text_embedding_speed": "文字嵌入速度",
+      "yolov9_plate_detection_speed": "YOLOv9 車牌偵測速度",
+      "plate_recognition": "車牌辨識",
+      "image_embedding_speed": "圖片嵌入速度"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/audio.json b/web/public/locales/zh-CN/audio.json
new file mode 100644
index 000000000..bd97f632f
--- /dev/null
+++ b/web/public/locales/zh-CN/audio.json
@@ -0,0 +1,429 @@
+{
+  "speech": "谈话",
+  "babbling": "喋喋不休",
+  "yell": "大喊",
+  "bellow": "吼叫",
+  "whoop": "欢呼",
+  "whispering": "耳语",
+  "laughter": "笑声",
+  "snicker": "窃笑",
+  "crying": "哭泣",
+  "sigh": "叹息",
+  "singing": "唱歌",
+  "choir": "合唱",
+  "yodeling": "山歌",
+  "chant": "吟唱",
+  "mantra": "咒语",
+  "child_singing": "儿童歌唱",
+  "synthetic_singing": "合成歌声",
+  "rapping": "说唱",
+  "humming": "哼唱",
+  "groan": "呻吟",
+  "grunt": "咕哝",
+  "whistling": "口哨",
+  "breathing": "呼吸",
+  "wheeze": "喘息",
+  "snoring": "打鼾",
+  "gasp": "倒抽气",
+  "pant": "喘气",
+  "snort": "哼声",
+  "cough": "咳嗽",
+  "throat_clearing": "清嗓子",
+  "sneeze": "打喷嚏",
+  "sniff": "抽鼻子",
+  "run": "跑步",
+  "shuffle": "拖步",
+  "footsteps": "脚步声",
+  "chewing": "咀嚼",
+  "biting": "咬",
+  "gargling": "漱口",
+  "stomach_rumble": "肚子咕噜",
+  "burping": "打嗝",
+  "hiccup": "打嗝",
+  "fart": "放屁",
+  "hands": "手",
+  "finger_snapping": "打响指",
+  "clapping": "鼓掌",
+  "heartbeat": "心跳",
+  "heart_murmur": "心脏杂音",
+  "cheering": "欢呼",
+  "applause": "掌声",
+  "chatter": "闲聊",
+  "crowd": "人群",
+  "children_playing": "儿童玩耍",
+  "animal": "动物",
+  "pets": "宠物",
+  "dog": "狗",
+  "bark": "狗叫",
+  "yip": "吠叫",
+  "howl": "嚎叫",
+  "bow_wow": "汪汪",
+  "growling": "咆哮",
+  "whimper_dog": "狗呜咽",
+  "cat": "猫",
+  "purr": "咕噜",
+  "meow": "喵喵",
+  "hiss": "嘶嘶声",
+  "caterwaul": "猫叫春",
+  "livestock": "牲畜",
+  "horse": "马",
+  "clip_clop": "蹄声",
+  "neigh": "嘶鸣",
+  "cattle": "牛",
+  "moo": "哞哞",
+  "cowbell": "牛铃",
+  "pig": "猪",
+  "oink": "哼哼",
+  "goat": "山羊",
+  "bleat": "咩咩",
+  "sheep": "绵羊",
+  "fowl": "家禽",
+  "chicken": "鸡",
+  "cluck": "咯咯",
+  "cock_a_doodle_doo": "喔喔",
+  "turkey": "火鸡",
+  "gobble": "咯咯",
+  "duck": "鸭子",
+  "quack": "嘎嘎",
+  "goose": "鹅",
+  "honk": "鸣笛/鹅叫声",
+  "wild_animals": "野生动物",
+  "roaring_cats": "吼叫的猫科动物",
+  "roar": "吼叫",
+  "bird": "鸟",
+  "chirp": "啾啾",
+  "squawk": "啼叫",
+  "pigeon": "鸽子",
+  "coo": "咕咕",
+  "crow": "乌鸦",
+  "caw": "呱呱",
+  "owl": "猫头鹰",
+  "hoot": "呜呜",
+  "flapping_wings": "翅膀拍打",
+  "dogs": "狗群",
+  "rats": "老鼠",
+  "mouse": "老鼠",
+  "patter": "啪嗒声",
+  "insect": "昆虫",
+  "cricket": "蟋蟀",
+  "mosquito": "蚊子",
+  "fly": "苍蝇",
+  "buzz": "嗡嗡",
+  "frog": "青蛙",
+  "croak": "呱呱",
+  "snake": "蛇",
+  "rattle": "响尾",
+  "whale_vocalization": "鲸鱼叫声",
+  "music": "音乐",
+  "musical_instrument": "乐器",
+  "plucked_string_instrument": "弹拨乐器",
+  "guitar": "吉他",
+  "electric_guitar": "电吉他",
+  "bass_guitar": "贝斯",
+  "acoustic_guitar": "原声吉他",
+  "steel_guitar": "钢弦吉他",
+  "tapping": "敲击",
+  "strum": "扫弦",
+  "banjo": "班卓琴",
+  "sitar": "西塔琴",
+  "mandolin": "曼陀林",
+  "zither": "古筝",
+  "ukulele": "尤克里里",
+  "keyboard": "键盘",
+  "piano": "钢琴",
+  "electric_piano": "电钢琴",
+  "organ": "风琴",
+  "electronic_organ": "电子琴",
+  "hammond_organ": "哈蒙德风琴",
+  "synthesizer": "合成器",
+  "sampler": "采样器",
+  "harpsichord": "大键琴",
+  "percussion": "打击乐器",
+  "drum_kit": "架子鼓",
+  "drum_machine": "鼓机",
+  "drum": "鼓",
+  "snare_drum": "军鼓",
+  "rimshot": "鼓边击",
+  "drum_roll": "滚鼓",
+  "bass_drum": "大鼓",
+  "timpani": "定音鼓",
+  "tabla": "塔布拉鼓",
+  "cymbal": "钹",
+  "hi_hat": "踩镲",
+  "wood_block": "木鱼",
+  "tambourine": "铃鼓",
+  "maraca": "沙锤",
+  "gong": "锣",
+  "tubular_bells": "管钟",
+  "mallet_percussion": "槌击打击乐器",
+  "marimba": "马林巴",
+  "glockenspiel": "钟琴",
+  "vibraphone": "颤音琴",
+  "steelpan": "钢鼓",
+  "orchestra": "管弦乐队",
+  "brass_instrument": "铜管乐器",
+  "french_horn": "圆号",
+  "trumpet": "小号",
+  "trombone": "长号",
+  "bowed_string_instrument": "弓弦乐器",
+  "string_section": "弦乐组",
+  "violin": "小提琴",
+  "pizzicato": "拨弦",
+  "cello": "大提琴",
+  "double_bass": "低音提琴",
+  "wind_instrument": "管乐器",
+  "flute": "长笛",
+  "saxophone": "萨克斯",
+  "clarinet": "单簧管",
+  "harp": "竖琴",
+  "bell": "铃",
+  "church_bell": "教堂钟",
+  "jingle_bell": "铃铛",
+  "bicycle_bell": "自行车铃",
+  "tuning_fork": "音叉",
+  "chime": "风铃",
+  "wind_chime": "风铃",
+  "harmonica": "口琴",
+  "accordion": "手风琴",
+  "bagpipes": "风笛",
+  "didgeridoo": "迪吉里杜管",
+  "theremin": "特雷门琴",
+  "singing_bowl": "颂钵",
+  "scratching": "刮擦声",
+  "pop_music": "流行音乐",
+  "hip_hop_music": "嘻哈音乐",
+  "beatboxing": "人声节拍",
+  "rock_music": "摇滚音乐",
+  "heavy_metal": "重金属",
+  "punk_rock": "朋克摇滚",
+  "grunge": "垃圾摇滚",
+  "progressive_rock": "前卫摇滚",
+  "rock_and_roll": "摇滚乐",
+  "psychedelic_rock": "迷幻摇滚",
+  "rhythm_and_blues": "节奏布鲁斯",
+  "soul_music": "灵魂乐",
+  "reggae": "雷鬼",
+  "country": "乡村音乐",
+  "swing_music": "摇摆乐",
+  "bluegrass": "蓝草音乐",
+  "funk": "放克",
+  "folk_music": "民谣",
+  "middle_eastern_music": "中东音乐",
+  "jazz": "爵士乐",
+  "disco": "迪斯科",
+  "classical_music": "古典音乐",
+  "opera": "歌剧",
+  "electronic_music": "电子音乐",
+  "house_music": "浩室音乐",
+  "techno": "科技舞曲",
+  "dubstep": "回响贝斯",
+  "drum_and_bass": "鼓打贝斯",
+  "electronica": "电子乐",
+  "electronic_dance_music": "电子舞曲",
+  "ambient_music": "环境音乐",
+  "trance_music": "迷幻舞曲",
+  "music_of_latin_america": "拉丁美洲音乐",
+  "salsa_music": "萨尔萨",
+  "flamenco": "弗拉门戈",
+  "blues": "蓝调",
+  "music_for_children": "儿童音乐",
+  "new-age_music": "新世纪音乐",
+  "vocal_music": "声乐",
+  "a_capella": "无伴奏合唱",
+  "music_of_africa": "非洲音乐",
+  "afrobeat": "非洲节拍",
+  "christian_music": "基督教音乐",
+  "gospel_music": "福音音乐",
+  "music_of_asia": "亚洲音乐",
+  "carnatic_music": "卡纳提克音乐",
+  "music_of_bollywood": "宝莱坞音乐",
+  "ska": "斯卡",
+  "traditional_music": "传统音乐",
+  "independent_music": "独立音乐",
+  "song": "歌曲",
+  "background_music": "背景音乐",
+  "theme_music": "主题音乐",
+  "jingle": "广告歌",
+  "soundtrack_music": "配乐",
+  "lullaby": "摇篮曲",
+  "video_game_music": "电子游戏音乐",
+  "christmas_music": "圣诞音乐",
+  "dance_music": "舞曲",
+  "wedding_music": "婚礼音乐",
+  "happy_music": "欢快音乐",
+  "sad_music": "悲伤音乐",
+  "tender_music": "温柔音乐",
+  "exciting_music": "激动音乐",
+  "angry_music": "愤怒音乐",
+  "scary_music": "恐怖音乐",
+  "wind": "风",
+  "rustling_leaves": "树叶沙沙声",
+  "wind_noise": "风声",
+  "thunderstorm": "雷暴",
+  "thunder": "雷声",
+  "water": "水",
+  "rain": "雨",
+  "raindrop": "雨滴",
+  "rain_on_surface": "雨打表面",
+  "stream": "溪流",
+  "waterfall": "瀑布",
+  "ocean": "海洋",
+  "waves": "波浪",
+  "steam": "蒸汽",
+  "gurgling": "汩汩声",
+  "fire": "火",
+  "crackle": "噼啪声",
+  "vehicle": "车辆",
+  "boat": "船",
+  "sailboat": "帆船",
+  "rowboat": "划艇",
+  "motorboat": "摩托艇",
+  "ship": "轮船",
+  "motor_vehicle": "机动车",
+  "car": "汽车",
+  "toot": "鸣笛",
+  "car_alarm": "汽车警报",
+  "power_windows": "电动车窗",
+  "skidding": "轮胎打滑",
+  "tire_squeal": "轮胎尖叫",
+  "car_passing_by": "汽车驶过",
+  "race_car": "赛车",
+  "truck": "卡车",
+  "air_brake": "气闸",
+  "air_horn": "气笛",
+  "reversing_beeps": "倒车提示音",
+  "ice_cream_truck": "冰淇淋车",
+  "bus": "公交车",
+  "emergency_vehicle": "应急车辆",
+  "police_car": "警车",
+  "ambulance": "救护车",
+  "fire_engine": "消防车",
+  "motorcycle": "摩托车",
+  "traffic_noise": "交通噪音",
+  "rail_transport": "铁路运输",
+  "train": "火车",
+  "train_whistle": "火车汽笛",
+  "train_horn": "火车鸣笛",
+  "railroad_car": "铁路车厢",
+  "train_wheels_squealing": "火车轮子尖叫",
+  "subway": "地铁",
+  "aircraft": "飞行器",
+  "aircraft_engine": "飞机引擎",
+  "jet_engine": "喷气引擎",
+  "propeller": "螺旋桨",
+  "helicopter": "直升机",
+  "fixed-wing_aircraft": "固定翼飞机",
+  "bicycle": "自行车",
+  "skateboard": "滑板",
+  "engine": "引擎",
+  "light_engine": "轻型引擎",
+  "dental_drill's_drill": "牙科钻",
+  "lawn_mower": "割草机",
+  "chainsaw": "电锯",
+  "medium_engine": "中型引擎",
+  "heavy_engine": "重型引擎",
+  "engine_knocking": "引擎敲击",
+  "engine_starting": "引擎启动",
+  "idling": "怠速",
+  "accelerating": "加速",
+  "door": "门",
+  "doorbell": "门铃",
+  "ding-dong": "叮咚",
+  "sliding_door": "滑动门",
+  "slam": "猛关",
+  "knock": "敲门",
+  "tap": "轻敲",
+  "squeak": "吱吱声",
+  "cupboard_open_or_close": "橱柜开关",
+  "drawer_open_or_close": "抽屉开关",
+  "dishes": "餐具",
+  "cutlery": "刀叉",
+  "chopping": "切菜",
+  "frying": "煎炸",
+  "microwave_oven": "微波炉",
+  "blender": "搅拌机",
+  "water_tap": "水龙头",
+  "sink": "水槽",
+  "bathtub": "浴缸",
+  "hair_dryer": "吹风机",
+  "toilet_flush": "马桶冲水",
+  "toothbrush": "牙刷",
+  "electric_toothbrush": "电动牙刷",
+  "vacuum_cleaner": "吸尘器",
+  "zipper": "拉链",
+  "keys_jangling": "钥匙叮当",
+  "coin": "硬币",
+  "scissors": "剪刀",
+  "electric_shaver": "电动剃须刀",
+  "shuffling_cards": "洗牌",
+  "typing": "打字",
+  "typewriter": "打字机",
+  "computer_keyboard": "电脑键盘",
+  "writing": "书写",
+  "alarm": "警报",
+  "telephone": "电话",
+  "telephone_bell_ringing": "电话铃声",
+  "ringtone": "手机铃声",
+  "telephone_dialing": "电话拨号",
+  "dial_tone": "拨号音",
+  "busy_signal": "忙音",
+  "alarm_clock": "闹钟",
+  "siren": "警笛",
+  "civil_defense_siren": "防空警报",
+  "buzzer": "蜂鸣器",
+  "smoke_detector": "烟雾检测器",
+  "fire_alarm": "火灾警报器",
+  "foghorn": "雾笛",
+  "whistle": "哨子",
+  "steam_whistle": "蒸汽汽笛",
+  "mechanisms": "机械装置",
+  "ratchet": "棘轮",
+  "clock": "时钟",
+  "tick": "滴答",
+  "tick-tock": "滴答滴答",
+  "gears": "齿轮",
+  "pulleys": "滑轮",
+  "sewing_machine": "缝纫机",
+  "mechanical_fan": "机械风扇",
+  "air_conditioning": "空调",
+  "cash_register": "收银机",
+  "printer": "打印机",
+  "camera": "相机",
+  "single-lens_reflex_camera": "单反相机",
+  "tools": "工具",
+  "hammer": "锤子",
+  "jackhammer": "风镐",
+  "sawing": "锯",
+  "filing": "锉",
+  "sanding": "砂磨",
+  "power_tool": "电动工具",
+  "drill": "电钻",
+  "explosion": "爆炸",
+  "gunshot": "枪声",
+  "machine_gun": "机关枪",
+  "fusillade": "齐射",
+  "artillery_fire": "炮火",
+  "cap_gun": "玩具枪",
+  "fireworks": "烟花",
+  "firecracker": "鞭炮",
+  "burst": "爆裂",
+  "eruption": "爆发",
+  "boom": "轰隆",
+  "wood": "木头",
+  "chop": "砍",
+  "splinter": "碎裂",
+  "crack": "破裂",
+  "glass": "玻璃",
+  "chink": "叮当",
+  "shatter": "粉碎",
+  "silence": "寂静",
+  "sound_effect": "音效",
+  "environmental_noise": "环境噪音",
+  "static": "静电噪音",
+  "white_noise": "白噪音",
+  "pink_noise": "粉红噪音",
+  "television": "电视",
+  "radio": "收音机",
+  "field_recording": "实地录音",
+  "scream": "尖叫"
+}
diff --git a/web/public/locales/zh-CN/common.json b/web/public/locales/zh-CN/common.json
new file mode 100644
index 000000000..1c253aee4
--- /dev/null
+++ b/web/public/locales/zh-CN/common.json
@@ -0,0 +1,261 @@
+{
+  "time": {
+    "untilForTime": "直到 {{time}}",
+    "untilForRestart": "直到 Frigate 重启。",
+    "untilRestart": "直到重启",
+    "ago": "{{timeAgo}} 前",
+    "justNow": "刚才",
+    "today": "今天",
+    "yesterday": "昨天",
+    "last7": "最后 7 天",
+    "last14": "最后 14 天",
+    "last30": "最后 30 天",
+    "thisWeek": "本周",
+    "lastWeek": "上个周",
+    "thisMonth": "本月",
+    "lastMonth": "上个月",
+    "5minutes": "5 分钟",
+    "10minutes": "10 分钟",
+    "30minutes": "30 分钟",
+    "1hour": "1 小时",
+    "12hours": "12 小时",
+    "24hours": "24 小时",
+    "pm": "下午",
+    "am": "上午",
+    "yr": "{{time}}年",
+    "year_other": "{{time}}年",
+    "mo": "{{time}}月",
+    "month_other": "{{time}}月",
+    "d": "{{time}}天",
+    "day_other": "{{time}}天",
+    "h": "{{time}}小时",
+    "hour_other": "{{time}}小时",
+    "m": "{{time}}分钟",
+    "minute_other": "{{time}}分钟",
+    "s": "{{time}}秒",
+    "second_other": "{{time}}秒",
+    "formattedTimestamp": {
+      "12hour": "M月d日 ah:mm:ss",
+      "24hour": "M月d日 HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM月dd日 ah:mm:ss",
+      "24hour": "MM月dd日 HH:mm:ss"
+    },
+    "formattedTimestampExcludeSeconds": {
+      "12hour": "%m月%-d日 %I:%M %p",
+      "24hour": "%m月%-d日 %H:%M"
+    },
+    "formattedTimestampWithYear": {
+      "12hour": "%Y年%m月%-d日 %I:%M:%S %p",
+      "24hour": "%Y年%m月%-d日 %H:%M"
+    },
+    "formattedTimestampOnlyMonthAndDay": "%m月%-d日",
+    "formattedTimestampHourMinute": {
+      "12hour": "a h:mm",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "ah:mm:ss",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "M月d日 ah:mm",
+      "24hour": "M月d日 HH:mm"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "24hour": "yyyy年M月d日 HH:mm",
+      "12hour": "yyyy年M月d日 ah:mm"
+    },
+    "formattedTimestampMonthDay": "M月d日",
+    "formattedTimestampFilename": {
+      "12hour": "yy年MM月dd日 ah时mm分ss秒",
+      "24hour": "yy年MM月dd日 HH时mm分ss秒"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "yy年MM月dd日",
+      "24hour": "yy年MM月dd日"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "英里/小时",
+      "kph": "公里/小时"
+    },
+    "length": {
+      "feet": "英尺",
+      "meters": "米"
+    }
+  },
+  "label": {
+    "back": "返回"
+  },
+  "pagination": {
+    "label": "分页",
+    "previous": {
+      "title": "上一页",
+      "label": "转到上一页"
+    },
+    "next": {
+      "title": "下一页",
+      "label": "转到下一页"
+    },
+    "more": "更多页面"
+  },
+  "button": {
+    "apply": "应用",
+    "reset": "重置",
+    "done": "完成",
+    "enabled": "启用",
+    "enable": "启用",
+    "disabled": "禁用",
+    "disable": "禁用",
+    "save": "保存",
+    "saving": "保存中…",
+    "cancel": "取消",
+    "close": "关闭",
+    "copy": "复制",
+    "back": "返回",
+    "history": "历史",
+    "fullscreen": "全屏",
+    "exitFullscreen": "退出全屏",
+    "pictureInPicture": "画中画",
+    "on": "开",
+    "off": "关",
+    "edit": "编辑",
+    "copyCoordinates": "复制坐标",
+    "delete": "删除",
+    "yes": "是",
+    "no": "否",
+    "download": "下载",
+    "info": "信息",
+    "suspended": "已暂停",
+    "unsuspended": "取消暂停",
+    "play": "播放",
+    "unselect": "取消选择",
+    "export": "导出",
+    "deleteNow": "立即删除",
+    "next": "下一个",
+    "cameraAudio": "摄像头音频",
+    "twoWayTalk": "双向对话"
+  },
+  "menu": {
+    "system": "系统",
+    "systemMetrics": "系统信息",
+    "configuration": "配置",
+    "systemLogs": "系统日志",
+    "settings": "设置",
+    "configurationEditor": "配置编辑器",
+    "languages": "Languages / 语言",
+    "language": {
+      "en": "英语 (English)",
+      "zhCN": "简体中文",
+      "withSystem": {
+        "label": "使用系统语言设置"
+      },
+      "hi": "印地语 (हिन्दी)",
+      "es": "西班牙语 (Español)",
+      "fr": "法语 (Français)",
+      "ar": "阿拉伯语 (العربية)",
+      "pt": "葡萄牙语 (Português)",
+      "de": "德语 (Deutsch)",
+      "ja": "日语 (日本語)",
+      "tr": "土耳其语 (Türkçe)",
+      "it": "意大利语 (Italiano)",
+      "nl": "荷兰语 (Nederlands)",
+      "sv": "瑞典语 (Svenska)",
+      "nb": "挪威博克马尔语 (Norsk Bokmål)",
+      "ko": "韩语 (한국어)",
+      "vi": "越南语 (Tiếng Việt)",
+      "fa": "波斯语 (فارسی)",
+      "pl": "波兰语 (Polski)",
+      "uk": "乌克兰语 (Українська)",
+      "he": "希伯来语 (עברית)",
+      "el": "希腊语 (Ελληνικά)",
+      "ro": "罗马尼亚语 (Română)",
+      "hu": "马扎尔语 (Magyar)",
+      "fi": "芬兰语 (Suomi)",
+      "da": "丹麦语 (Dansk)",
+      "sk": "斯拉夫语 (Slovenčina)",
+      "ru": "俄语 (Русский)",
+      "cs": "捷克语 (Čeština)",
+      "yue": "粤语 (粵語)",
+      "th": "泰语（ไทย）",
+      "ca": "加泰罗尼亚语 (Català )"
+    },
+    "appearance": "外观",
+    "darkMode": {
+      "label": "深色模式",
+      "light": "浅色",
+      "dark": "深色",
+      "withSystem": {
+        "label": "使用系统深色模式设置"
+      }
+    },
+    "withSystem": "跟随系统",
+    "theme": {
+      "label": "主题",
+      "blue": "蓝色",
+      "green": "绿色",
+      "nord": "Nord",
+      "red": "红色",
+      "contrast": "高对比度",
+      "default": "默认",
+      "highcontrast": "高对比"
+    },
+    "help": "帮助",
+    "documentation": {
+      "title": "文档",
+      "label": "Frigate 的官方文档"
+    },
+    "live": {
+      "title": "实时监控",
+      "allCameras": "所有摄像头",
+      "cameras": {
+        "title": "摄像头",
+        "count_other": "{{count}} 个摄像头"
+      }
+    },
+    "review": "核查",
+    "explore": "浏览",
+    "export": "导出",
+    "uiPlayground": "UI 演示",
+    "faceLibrary": "人脸管理",
+    "user": {
+      "account": "账号",
+      "current": "当前用户：{{user}}",
+      "anonymous": "匿名",
+      "logout": "登出",
+      "setPassword": "设置密码",
+      "title": "用户"
+    },
+    "restart": "重启 Frigate"
+  },
+  "toast": {
+    "copyUrlToClipboard": "已复制链接到剪贴板。",
+    "save": {
+      "title": "保存",
+      "error": {
+        "title": "保存配置信息失败： {{errorMessage}}",
+        "noMessage": "保存配置信息失败"
+      }
+    }
+  },
+  "role": {
+    "title": "权限组",
+    "admin": "管理员",
+    "viewer": "成员",
+    "desc": "管理员可以完全访问Frigate界面上所有功能。成员则仅能查看摄像头、核查项和历史录像。"
+  },
+  "accessDenied": {
+    "documentTitle": "没有权限 - Frigate",
+    "title": "没有权限",
+    "desc": "您没有权限查看此页面。"
+  },
+  "notFound": {
+    "documentTitle": "没有找到页面 - Frigate",
+    "title": "404",
+    "desc": "页面未找到"
+  },
+  "selectItem": "选择 {{item}}"
+}
diff --git a/web/public/locales/zh-CN/components/auth.json b/web/public/locales/zh-CN/components/auth.json
new file mode 100644
index 000000000..015fa0ba8
--- /dev/null
+++ b/web/public/locales/zh-CN/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "用户名",
+    "password": "密码",
+    "login": "登录",
+    "errors": {
+      "usernameRequired": "用户名不能为空",
+      "passwordRequired": "密码不能为空",
+      "rateLimit": "超出请求限制，请稍后再试。",
+      "loginFailed": "登录失败",
+      "unknownError": "未知错误，请检查日志。",
+      "webUnknownError": "未知错误，请检查控制台日志。"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/components/camera.json b/web/public/locales/zh-CN/components/camera.json
new file mode 100644
index 000000000..fb1390d46
--- /dev/null
+++ b/web/public/locales/zh-CN/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "摄像头组",
+    "add": "添加摄像头组",
+    "edit": "编辑摄像头组",
+    "delete": {
+      "label": "删除摄像头组",
+      "confirm": {
+        "title": "确认删除",
+        "desc": "你确定要删除摄像头组 <em>{{name}}</em> 吗？"
+      }
+    },
+    "name": {
+      "label": "名称",
+      "placeholder": "请输入名称…",
+      "errorMessage": {
+        "mustLeastCharacters": "摄像头组的名称必须至少有 2 个字符。",
+        "exists": "摄像头组名称已存在。",
+        "nameMustNotPeriod": "摄像头组名称不能包含英文句号(.)。",
+        "invalid": "无效的摄像头组名称。"
+      }
+    },
+    "cameras": {
+      "label": "摄像头",
+      "desc": "选择添加至该组的摄像头。"
+    },
+    "icon": "图标",
+    "success": "摄像头组（{{name}}）保存成功。",
+    "camera": {
+      "setting": {
+        "label": "摄像头视频流设置",
+        "title": "{{cameraName}} 视频流设置",
+        "desc": "更改此摄像头组仪表板的实时视频流选项。<em>这些设置特定于设备/浏览器。</em>",
+        "audioIsAvailable": "此视频流支持音频",
+        "audioIsUnavailable": "此视频流不支持音频",
+        "audio": {
+          "tips": {
+            "title": "音频必须从您的摄像头输出并在 go2rtc 中配置此流。",
+            "document": "阅读文档 "
+          }
+        },
+        "streamMethod": {
+          "label": "视频流方法",
+          "method": {
+            "noStreaming": {
+              "label": "无视频流",
+              "desc": "摄像头图像每分钟仅更新一次，不会进行实时视频流播放。"
+            },
+            "smartStreaming": {
+              "label": "智能视频流（推荐）",
+              "desc": "智能视频流在没有检测到活动时，每分钟更新一次摄像头图像，以节省带宽和资源。当检测到活动时，图像会无缝切换到实时视频流。"
+            },
+            "continuousStreaming": {
+              "label": "持续视频流",
+              "desc": {
+                "title": "当摄像头画面在仪表板上可见时，始终为实时视频流，即使未检测到活动。",
+                "warning": "持续视频流可能会导致高带宽使用和性能问题，请谨慎使用。"
+              }
+            }
+          },
+          "placeholder": "选择视频流传输方式"
+        },
+        "compatibilityMode": {
+          "label": "兼容模式",
+          "desc": "仅在摄像头的实时视频流显示颜色伪影，并且图像右侧有一条对角线时启用此选项。"
+        },
+        "stream": "视频流",
+        "placeholder": "选择视频流"
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "设置",
+      "title": "选项",
+      "showOptions": "显示选项",
+      "hideOptions": "隐藏选项"
+    },
+    "boundingBox": "边界框",
+    "timestamp": "时间戳",
+    "zones": "区域",
+    "mask": "遮罩",
+    "motion": "运动",
+    "regions": "区域"
+  }
+}
diff --git a/web/public/locales/zh-CN/components/dialog.json b/web/public/locales/zh-CN/components/dialog.json
new file mode 100644
index 000000000..e7670d1e6
--- /dev/null
+++ b/web/public/locales/zh-CN/components/dialog.json
@@ -0,0 +1,120 @@
+{
+  "restart": {
+    "title": "你确定要重启 Frigate?",
+    "button": "重启",
+    "restarting": {
+      "title": "Frigate 正在重启",
+      "content": "该页面将会在 {{countdown}} 秒后自动刷新。",
+      "button": "强制刷新"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "提交至 Frigate+",
+        "desc": "您希望避开的地点中的物体不应被视为误报。若将其作为误报提交，可能会导致AI模型容易混淆相关物体的识别。"
+      },
+      "review": {
+        "true": {
+          "label": "为 Frigate Plus 确认此标签",
+          "true_other": "这是 {{label}}"
+        },
+        "false": {
+          "label": "不为 Frigate Plus 确认此标签",
+          "false_other": "这不是 {{label}}"
+        },
+        "state": {
+          "submitted": "已提交"
+        },
+        "question": {
+          "label": "为 Frigate Plus 确认此标签",
+          "ask_a": "这个对象是 <code>{{label}}</code> 吗？",
+          "ask_an": "这个对象是 <code>{{label}}</code> 吗？",
+          "ask_full": "这个对象是 <code>{{untranslatedLabel}}</code> ({{translatedLabel}}) 吗？"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "在历史中查看"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "从时间线选择",
+      "lastHour_other": "最后 {{count}} 小时",
+      "custom": "自定义",
+      "start": {
+        "title": "开始时间",
+        "label": "选择开始时间"
+      },
+      "end": {
+        "title": "结束时间",
+        "label": "选择结束时间"
+      }
+    },
+    "name": {
+      "placeholder": "导出项目的名字"
+    },
+    "select": "选择",
+    "export": "导出",
+    "selectOrExport": "选择或导出",
+    "toast": {
+      "success": "导出成功。进入 /exports 目录查看文件。",
+      "error": {
+        "failed": "导出失败：{{error}}",
+        "endTimeMustAfterStartTime": "结束时间必须在开始时间之后",
+        "noVaildTimeSelected": "未选择有效的时间范围"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "保存导出",
+      "previewExport": "预览导出"
+    }
+  },
+  "streaming": {
+    "label": "视频流",
+    "restreaming": {
+      "disabled": "此摄像头未启用视频流转发功能。",
+      "desc": {
+        "title": "为此摄像头设置 go2rtc，以获取额外的实时预览选项和音频支持。",
+        "readTheDocumentation": "阅读文档"
+      }
+    },
+    "showStats": {
+      "label": "显示视频流统计信息",
+      "desc": "启用后将在摄像头画面上叠加显示视频流统计信息。"
+    },
+    "debugView": "调试界面"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "保存搜索",
+      "desc": "请为此已保存的搜索提供一个名称。",
+      "placeholder": "请输入搜索名称",
+      "overwrite": "{{searchName}} 已存在。保存将覆盖现有值。",
+      "success": "搜索 ({{searchName}}) 已保存。",
+      "button": {
+        "save": {
+          "label": "保存此搜索"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "确认删除",
+      "desc": {
+        "selected": "你确定要删除与此核查项相关的所有录制视频吗？<br /><br />提示：按住 <em>Shift</em> 键点击删除可跳过此对话框。"
+      },
+      "toast": {
+        "success": "已删除与所选核查项关联的视频片段。",
+        "error": "删除失败：{{error}}"
+      }
+    },
+    "button": {
+      "export": "导出",
+      "markAsReviewed": "标记为已核查",
+      "deleteNow": "立即删除"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/components/filter.json b/web/public/locales/zh-CN/components/filter.json
new file mode 100644
index 000000000..5824a421d
--- /dev/null
+++ b/web/public/locales/zh-CN/components/filter.json
@@ -0,0 +1,127 @@
+{
+  "filter": "过滤器",
+  "labels": {
+    "label": "标签",
+    "all": {
+      "title": "所有标签",
+      "short": "标签"
+    },
+    "count": "{{count}} 个标签",
+    "count_other": "{{count}} 个标签",
+    "count_one": "{{count}} 个标签"
+  },
+  "zones": {
+    "all": {
+      "title": "所有区域",
+      "short": "区域"
+    },
+    "label": "区域"
+  },
+  "dates": {
+    "all": {
+      "title": "所有日期",
+      "short": "日期"
+    },
+    "selectPreset": "选择预定时间…"
+  },
+  "more": "更多筛选项",
+  "reset": {
+    "label": "重置筛选器为默认值"
+  },
+  "timeRange": "时间范围",
+  "subLabels": {
+    "label": "子标签",
+    "all": "所有子标签"
+  },
+  "score": "分值",
+  "estimatedSpeed": "预计速度（{{unit}}）",
+  "features": {
+    "label": "特性",
+    "hasSnapshot": "包含快照",
+    "hasVideoClip": "包含视频片段",
+    "submittedToFrigatePlus": {
+      "label": "提交至 Frigate+",
+      "tips": "你必须要先筛选具有快照的检测对象。<br /><br />没有快照的跟踪对象无法提交至 Frigate+."
+    }
+  },
+  "sort": {
+    "label": "排序",
+    "dateAsc": "日期 (正序)",
+    "dateDesc": "日期 (倒序)",
+    "scoreAsc": "对象分值 (正序)",
+    "scoreDesc": "对象分值 (倒序)",
+    "speedAsc": "预计速度 (正序)",
+    "speedDesc": "预计速度 (倒序)",
+    "relevance": "关联性"
+  },
+  "cameras": {
+    "label": "摄像头筛选",
+    "all": {
+      "title": "所有摄像头",
+      "short": "摄像头"
+    }
+  },
+  "review": {
+    "showReviewed": "显示已核查的项目"
+  },
+  "motion": {
+    "showMotionOnly": "仅显示运动"
+  },
+  "explore": {
+    "settings": {
+      "title": "设置",
+      "defaultView": {
+        "title": "默认视图",
+        "desc": "当未选择任何过滤器时，显示每个标签最近跟踪对象的摘要，或显示未过滤的网格。",
+        "summary": "摘要",
+        "unfilteredGrid": "未过滤网格"
+      },
+      "gridColumns": {
+        "title": "网格列数",
+        "desc": "选择网格视图中的列数。"
+      },
+      "searchSource": {
+        "label": "搜索源",
+        "desc": "选择是搜索缩略图还是跟踪对象的描述。",
+        "options": {
+          "thumbnailImage": "缩略图",
+          "description": "描述"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "选择日期进行筛选"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "日志级别筛选",
+    "filterBySeverity": "按严重程度筛选日志",
+    "loading": {
+      "title": "加载中",
+      "desc": "当日志面板滚动到底部时，新的日志会自动流式加载。"
+    },
+    "disableLogStreaming": "禁用日志流式加载",
+    "allLogs": "所有日志"
+  },
+  "trackedObjectDelete": {
+    "title": "确认删除",
+    "desc": "删除这 {{objectLength}} 个跟踪对象将移除快照、任何已保存的嵌入和任何相关的对象生命周期条目。历史视图中这些跟踪对象的录制片段将<em>不会</em>被删除。<br /><br />您确定要继续吗？<br /><br />按住 <em>Shift</em> 键可在将来跳过此对话框。",
+    "toast": {
+      "success": "跟踪对象删除成功。",
+      "error": "删除跟踪对象失败：{{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "按区域遮罩筛选"
+  },
+  "recognizedLicensePlates": {
+    "title": "识别的车牌",
+    "loadFailed": "加载识别的车牌失败。",
+    "loading": "正在加载识别的车牌…",
+    "placeholder": "输入以搜索车牌…",
+    "noLicensePlatesFound": "未找到车牌。",
+    "selectPlatesFromList": "从列表中选择一个或多个车牌。"
+  }
+}
diff --git a/web/public/locales/zh-CN/components/icons.json b/web/public/locales/zh-CN/components/icons.json
new file mode 100644
index 000000000..20f201249
--- /dev/null
+++ b/web/public/locales/zh-CN/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "选择图标",
+    "search": {
+      "placeholder": "搜索图标…"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/components/input.json b/web/public/locales/zh-CN/components/input.json
new file mode 100644
index 000000000..add854a48
--- /dev/null
+++ b/web/public/locales/zh-CN/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "下载视频",
+      "toast": {
+        "success": "你的核查视频已开始下载。"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/components/player.json b/web/public/locales/zh-CN/components/player.json
new file mode 100644
index 000000000..df6648048
--- /dev/null
+++ b/web/public/locales/zh-CN/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "找不到此次录制",
+  "noPreviewFound": "没有找到预览",
+  "noPreviewFoundFor": "没有在 {{cameraName}} 下找到预览",
+  "submitFrigatePlus": {
+    "title": "提交此帧到 Frigate+？",
+    "submit": "提交"
+  },
+  "livePlayerRequiredIOSVersion": "此直播流类型需要 iOS 17.1 或更高版本。",
+  "streamOffline": {
+    "title": "视频流离线",
+    "desc": "未在 {{cameraName}} 的 <code>detect</code> 流上接收到任何帧，请检查错误日志"
+  },
+  "cameraDisabled": "摄像机已禁用",
+  "stats": {
+    "streamType": {
+      "title": "流类型：",
+      "short": "类型"
+    },
+    "bandwidth": {
+      "title": "带宽：",
+      "short": "带宽"
+    },
+    "latency": {
+      "title": "延迟：",
+      "value": "{{seconds}} 秒",
+      "short": {
+        "title": "延迟",
+        "value": "{{seconds}} 秒"
+      }
+    },
+    "totalFrames": "总帧数：",
+    "droppedFrames": {
+      "title": "丢帧数：",
+      "short": {
+        "title": "丢帧",
+        "value": "{{droppedFrames}} 帧"
+      }
+    },
+    "decodedFrames": "解码帧数：",
+    "droppedFrameRate": "丢帧率："
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "已成功提交帧到 Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "提交帧到 Frigate+ 失败"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/objects.json b/web/public/locales/zh-CN/objects.json
new file mode 100644
index 000000000..161821a9d
--- /dev/null
+++ b/web/public/locales/zh-CN/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "人",
+  "bicycle": "自行车",
+  "car": "汽车",
+  "motorcycle": "摩托车",
+  "airplane": "飞机",
+  "bus": "公交车",
+  "train": "火车",
+  "boat": "船",
+  "traffic_light": "交通灯",
+  "fire_hydrant": "消防栓",
+  "street_sign": "路标",
+  "stop_sign": "停车标志",
+  "parking_meter": "停车计时器",
+  "bench": "长椅",
+  "bird": "鸟",
+  "cat": "猫",
+  "dog": "狗",
+  "horse": "马",
+  "sheep": "绵羊",
+  "cow": "牛",
+  "elephant": "大象",
+  "bear": "熊",
+  "zebra": "斑马",
+  "giraffe": "长颈鹿",
+  "hat": "帽子",
+  "backpack": "背包",
+  "umbrella": "雨伞",
+  "shoe": "鞋子",
+  "eye_glasses": "眼镜",
+  "handbag": "手提包",
+  "tie": "领带",
+  "suitcase": "手提箱",
+  "frisbee": "飞盘",
+  "skis": "滑雪板",
+  "snowboard": "滑雪板",
+  "sports_ball": "运动球",
+  "kite": "风筝",
+  "baseball_bat": "棒球棒",
+  "baseball_glove": "棒球手套",
+  "skateboard": "滑板",
+  "surfboard": "冲浪板",
+  "tennis_racket": "网球拍",
+  "bottle": "瓶子",
+  "plate": "盘子",
+  "wine_glass": "酒杯",
+  "cup": "杯子",
+  "fork": "叉子",
+  "knife": "刀",
+  "spoon": "勺子",
+  "bowl": "碗",
+  "banana": "香蕉",
+  "apple": "苹果",
+  "sandwich": "三明治",
+  "orange": "橙子",
+  "broccoli": "西兰花",
+  "carrot": "胡萝卜",
+  "hot_dog": "热狗",
+  "pizza": "披萨",
+  "donut": "甜甜圈",
+  "cake": "蛋糕",
+  "chair": "椅子",
+  "couch": "沙发",
+  "potted_plant": "盆栽植物",
+  "bed": "床",
+  "mirror": "镜子",
+  "dining_table": "餐桌",
+  "window": "窗户",
+  "desk": "桌子",
+  "toilet": "厕所",
+  "door": "门",
+  "tv": "电视",
+  "laptop": "笔记本电脑",
+  "mouse": "老鼠",
+  "remote": "遥控器",
+  "keyboard": "键盘",
+  "cell_phone": "手机",
+  "microwave": "微波炉",
+  "oven": "烤箱",
+  "toaster": "烤面包机",
+  "sink": "水槽",
+  "refrigerator": "冰箱",
+  "blender": "搅拌机",
+  "book": "书",
+  "clock": "时钟",
+  "vase": "花瓶",
+  "scissors": "剪刀",
+  "teddy_bear": "泰迪熊",
+  "hair_dryer": "吹风机",
+  "toothbrush": "牙刷",
+  "hair_brush": "发刷",
+  "vehicle": "车辆",
+  "squirrel": "松鼠",
+  "deer": "鹿",
+  "animal": "动物",
+  "bark": "狗叫",
+  "fox": "狐狸",
+  "goat": "山羊",
+  "rabbit": "兔子",
+  "raccoon": "浣熊",
+  "robot_lawnmower": "自动割草机",
+  "waste_bin": "垃圾桶",
+  "on_demand": "手动",
+  "face": "人脸",
+  "license_plate": "车牌",
+  "package": "包裹",
+  "bbq_grill": "烧烤架",
+  "amazon": "亚马逊",
+  "usps": "美国邮政",
+  "ups": "UPS",
+  "fedex": "联邦快递",
+  "dhl": "DHL",
+  "an_post": "爱尔兰邮政",
+  "purolator": "普罗莱特",
+  "postnl": "荷兰邮政",
+  "nzpost": "新西兰邮政",
+  "postnord": "北欧邮政",
+  "gls": "GLS",
+  "dpd": "DPD"
+}
diff --git a/web/public/locales/zh-CN/views/configEditor.json b/web/public/locales/zh-CN/views/configEditor.json
new file mode 100644
index 000000000..79e9b398c
--- /dev/null
+++ b/web/public/locales/zh-CN/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "配置编辑器 - Frigate",
+  "configEditor": "配置编辑器",
+  "copyConfig": "复制配置",
+  "saveAndRestart": "保存并重启",
+  "saveOnly": "只保存",
+  "toast": {
+    "success": {
+      "copyToClipboard": "配置已复制到剪贴板。"
+    },
+    "error": {
+      "savingError": "保存配置时出错"
+    }
+  },
+  "confirm": "是否退出并不保存？"
+}
diff --git a/web/public/locales/zh-CN/views/events.json b/web/public/locales/zh-CN/views/events.json
new file mode 100644
index 000000000..72a93104f
--- /dev/null
+++ b/web/public/locales/zh-CN/views/events.json
@@ -0,0 +1,39 @@
+{
+  "alerts": "警报",
+  "detections": "检测",
+  "motion": {
+    "label": "运动",
+    "only": "仅运动画面"
+  },
+  "allCameras": "所有摄像头",
+  "empty": {
+    "alert": "还没有“警报”类核查项",
+    "detection": "还没有“检测”类核查项",
+    "motion": "还没有运动类数据"
+  },
+  "timeline": "时间线",
+  "timeline.aria": "选择时间线",
+  "events": {
+    "label": "事件",
+    "aria": "选择事件",
+    "noFoundForTimePeriod": "未找到该时间段的事件。"
+  },
+  "documentTitle": "核查 - Frigate",
+  "recordings": {
+    "documentTitle": "回放 - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "过去24小时"
+  },
+  "markAsReviewed": "标记为已核查",
+  "markTheseItemsAsReviewed": "将这些项目标记为已核查",
+  "newReviewItems": {
+    "label": "查看新的核查项目",
+    "button": "核查新项目"
+  },
+  "camera": "摄像头",
+  "selected": "已选择 {{count}} 个",
+  "selected_one": "已选择 {{count}} 个",
+  "selected_other": "已选择 {{count}} 个",
+  "detected": "已检测"
+}
diff --git a/web/public/locales/zh-CN/views/explore.json b/web/public/locales/zh-CN/views/explore.json
new file mode 100644
index 000000000..7db391e4d
--- /dev/null
+++ b/web/public/locales/zh-CN/views/explore.json
@@ -0,0 +1,205 @@
+{
+  "documentTitle": "浏览 - Frigate",
+  "generativeAI": "生成式 AI",
+  "exploreIsUnavailable": {
+    "title": "浏览功能不可用",
+    "embeddingsReindexing": {
+      "context": "跟踪对象嵌入重新索引完成后，可以使用浏览功能。",
+      "startingUp": "启动中…",
+      "estimatedTime": "预计剩余时间：",
+      "finishingShortly": "即将完成",
+      "step": {
+        "thumbnailsEmbedded": "缩略图嵌入：",
+        "descriptionsEmbedded": "描述嵌入：",
+        "trackedObjectsProcessed": "跟踪对象已处理："
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate正在下载支持语义搜索功能所需的嵌入模型。根据网络连接速度，这可能需要几分钟。",
+      "setup": {
+        "visionModel": "视觉模型",
+        "visionModelFeatureExtractor": "视觉模型特征提取器",
+        "textModel": "文本模型",
+        "textTokenizer": "文本分词器"
+      },
+      "tips": {
+        "context": "模型下载完成后，您可能需要重新索引跟踪对象的嵌入。",
+        "documentation": "阅读文档"
+      },
+      "error": "发生错误。请检查Frigate日志。"
+    }
+  },
+  "trackedObjectDetails": "跟踪对象详情",
+  "type": {
+    "details": "详情",
+    "snapshot": "快照",
+    "video": "视频",
+    "object_lifecycle": "对象生命周期"
+  },
+  "objectLifecycle": {
+    "title": "对象生命周期",
+    "noImageFound": "未找到此时间戳的图像。",
+    "createObjectMask": "创建对象遮罩",
+    "adjustAnnotationSettings": "调整标注设置",
+    "scrollViewTips": "滚动查看此对象生命周期的重要时刻。",
+    "autoTrackingTips": "自动跟踪摄像头的边界框位置可能不准确。",
+    "lifecycleItemDesc": {
+      "visible": "检测到 {{label}}",
+      "entered_zone": "{{label}} 进入 {{zones}}",
+      "active": "{{label}} 变为活动状态",
+      "stationary": "{{label}} 变为静止状态",
+      "attribute": {
+        "faceOrLicense_plate": "检测到 {{label}} 的 {{attribute}}",
+        "other": "{{label}} 识别为 {{attribute}}"
+      },
+      "gone": "{{label}} 离开",
+      "heard": "听到 {{label}}",
+      "external": "检测到 {{label}}",
+      "header": {
+        "ratio": "得分",
+        "zones": "区域",
+        "area": "坐标区域"
+      }
+    },
+    "annotationSettings": {
+      "title": "标注设置",
+      "showAllZones": {
+        "title": "显示所有区域",
+        "desc": "在对象进入区域的帧上始终显示区域。"
+      },
+      "offset": {
+        "label": "标注偏移",
+        "desc": "这些数据来自摄像头的检测源，但是叠加在录制源的图像上。这两个流不太可能完全同步。因此，边界框和录像不会完全对齐。但是，可以使用 <code>annotation_offset</code> 字段来调整这个问题。",
+        "documentation": "阅读文档 ",
+        "millisecondsToOffset": "检测标注的偏移毫秒数。<em>默认值：0</em>",
+        "tips": "提示：假设有一个人从左向右走的事件片段。如果事件时间线上的边界框始终在人的左侧，则应该减小该值。同样，如果一个人从左向右走，而边界框始终在人的前面，则应该增加该值。",
+        "toast": {
+          "success": "{{camera}} 的标注偏移量已成功保存至配置文件。请重启Frigate生效。"
+        }
+      }
+    },
+    "carousel": {
+      "previous": "上一张",
+      "next": "下一张"
+    },
+    "count": "第 {{first}} 个，共 {{second}} 个",
+    "trackedPoint": "追踪点"
+  },
+  "details": {
+    "item": {
+      "title": "回放项目详情",
+      "desc": "核查项详情",
+      "button": {
+        "share": "分享该核查项",
+        "viewInExplore": "在 浏览 中查看"
+      },
+      "tips": {
+        "mismatch_other": "检测到 {{count}} 个不可用的对象，并已包含在此核查项中。这些对象可能未达到警报或检测标准，或者已被清理/删除。",
+        "hasMissingObjects": "如果希望 Frigate 保存以下标签的跟踪对象，请调整您的配置：<em>{{objects}}</em>"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "已向 {{provider}} 请求新的描述。根据提供商的速度，生成新描述可能需要一些时间。",
+          "updatedSublabel": "成功更新子标签。",
+          "updatedLPR": "成功更新车牌。"
+        },
+        "error": {
+          "regenerate": "调用 {{provider}} 生成新描述失败：{{errorMessage}}",
+          "updatedSublabelFailed": "更新子标签失败：{{errorMessage}}",
+          "updatedLPRFailed": "更新车牌失败：{{errorMessage}}"
+        }
+      }
+    },
+    "label": "标签",
+    "editSubLabel": {
+      "title": "编辑子标签",
+      "desc": "为 {{label}} 输入新的子标签",
+      "descNoLabel": "为此跟踪对象输入新的子标签"
+    },
+    "topScore": {
+      "label": "最高得分",
+      "info": "最高分是跟踪对象的最高中位数得分，因此可能与搜索结果缩略图上显示的得分不同。"
+    },
+    "estimatedSpeed": "预计速度",
+    "objects": "对象",
+    "camera": "摄像头",
+    "zones": "区域",
+    "timestamp": "时间戳",
+    "button": {
+      "findSimilar": "查找相似项",
+      "regenerate": {
+        "title": "重新生成",
+        "label": "重新生成跟踪对象描述"
+      }
+    },
+    "description": {
+      "label": "描述",
+      "placeholder": "跟踪对象的描述",
+      "aiTips": "在跟踪对象的生命周期结束之前，Frigate 不会向您的生成式 AI 提供商请求描述。"
+    },
+    "expandRegenerationMenu": "展开重新生成菜单",
+    "regenerateFromSnapshot": "从快照重新生成",
+    "regenerateFromThumbnails": "从缩略图重新生成",
+    "tips": {
+      "descriptionSaved": "已保存描述",
+      "saveDescriptionFailed": "更新描述失败：{{errorMessage}}"
+    },
+    "editLPR": {
+      "desc": "为 {{label}} 输入新的车牌值",
+      "descNoLabel": "为检测到的对象输入新的车牌值",
+      "title": "编辑车牌"
+    },
+    "recognizedLicensePlate": "识别的车牌",
+    "snapshotScore": {
+      "label": "快照得分"
+    }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "下载视频",
+      "aria": "下载视频"
+    },
+    "downloadSnapshot": {
+      "label": "下载快照",
+      "aria": "下载快照"
+    },
+    "viewObjectLifecycle": {
+      "label": "查看对象生命周期",
+      "aria": "显示对象的生命周期"
+    },
+    "findSimilar": {
+      "label": "查找相似项",
+      "aria": "查看相似的对象"
+    },
+    "submitToPlus": {
+      "label": "提交至 Frigate+",
+      "aria": "提交至 Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "在历史记录中查看",
+      "aria": "在历史记录中查看"
+    },
+    "deleteTrackedObject": {
+      "label": "删除此跟踪对象"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "确认删除",
+      "desc": "删除此跟踪对象将移除快照、所有已保存的嵌入数据以及任何关联的对象生命周期条目。但在历史视图中的录制视频<em>不会</em>被删除。<br /><br />你确定要继续删除吗？"
+    }
+  },
+  "noTrackedObjects": "未找到跟踪对象",
+  "fetchingTrackedObjectsFailed": "获取跟踪对象失败：{{errorMessage}}",
+  "trackedObjectsCount_other": "{{count}} 个跟踪对象 ",
+  "searchResult": {
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "跟踪对象删除成功。",
+        "error": "删除跟踪对象失败：{{errorMessage}}"
+      }
+    },
+    "tooltip": "与 {{type}} 匹配度为 {{confidence}}%"
+  },
+  "exploreMore": "浏览更多的 {{label}}"
+}
diff --git a/web/public/locales/zh-CN/views/exports.json b/web/public/locales/zh-CN/views/exports.json
new file mode 100644
index 000000000..b22d035f1
--- /dev/null
+++ b/web/public/locales/zh-CN/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": "导出 - Frigate",
+  "search": "搜索",
+  "noExports": "没有找到导出的项目",
+  "deleteExport": "删除导出的项目",
+  "deleteExport.desc": "你确定要删除 {{exportName}} 吗？",
+  "editExport": {
+    "title": "重命名导出",
+    "desc": "为此导出项目输入新名称。",
+    "saveExport": "保存导出"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "重命名导出失败：{{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/views/faceLibrary.json b/web/public/locales/zh-CN/views/faceLibrary.json
new file mode 100644
index 000000000..7fb906bcd
--- /dev/null
+++ b/web/public/locales/zh-CN/views/faceLibrary.json
@@ -0,0 +1,97 @@
+{
+  "description": {
+    "addFace": "我们将引导你如何向人脸库中添加新的特征库。",
+    "placeholder": "请输入此特征库的名称",
+    "invalidName": "名称无效。名称只能包含字母、数字、空格、撇号、下划线和连字符。"
+  },
+  "details": {
+    "person": "人",
+    "confidence": "置信度",
+    "face": "人脸详情",
+    "faceDesc": "生成此人脸特征的跟踪对象详细信息",
+    "timestamp": "时间戳",
+    "subLabelScore": "子标签得分",
+    "scoreInfo": "子标签分数是基于所有识别到的人脸置信度的加权评分，因此可能与快照中显示的分数有所不同。",
+    "unknown": "未知"
+  },
+  "documentTitle": "人脸库 - Frigate",
+  "uploadFaceImage": {
+    "title": "上传人脸图片",
+    "desc": "上传图片以扫描人脸并包含在{{pageToggle}}中"
+  },
+  "createFaceLibrary": {
+    "title": "创建特征库",
+    "desc": "创建一个新的特征库",
+    "new": "新建人脸",
+    "nextSteps": "建议按以下步骤建立可靠的特征库：<li>使用<em>训练</em>选项卡为每个检测到的人员选择并训练图像</li><li>优先使用正脸图像以获得最佳效果，尽可能避免使用侧脸图像进行训练</li></ul>"
+  },
+  "train": {
+    "title": "训练",
+    "aria": "选择训练",
+    "empty": "近期未检测到人脸识别操作"
+  },
+  "selectItem": "选择 {{item}}",
+  "selectFace": "选择人脸",
+  "deleteFaceLibrary": {
+    "title": "删除名称",
+    "desc": "确定要删除特征库 {{name}} 吗？此操作将永久删除所有关联的人脸特征数据。"
+  },
+  "button": {
+    "deleteFaceAttempts": "删除人脸",
+    "addFace": "添加人脸",
+    "uploadImage": "上传图片",
+    "reprocessFace": "重新处理人脸",
+    "renameFace": "重命名人脸",
+    "deleteFace": "删除人脸"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "请选择图片文件。"
+    },
+    "dropActive": "拖动图片文件到这里…",
+    "dropInstructions": "拖动图片文件到此处或点击选择",
+    "maxSize": "最大文件大小：{{size}}MB"
+  },
+  "readTheDocs": "阅读文档",
+  "trainFaceAs": "将人脸特征训练为：",
+  "trainFace": "训练人脸特征",
+  "toast": {
+    "success": {
+      "uploadedImage": "图片上传成功。",
+      "addFaceLibrary": "{{name}} 已成功添加至人脸库！",
+      "deletedFace_other": "成功删除 {{count}} 个 人脸特征。",
+      "deletedName_other": "成功删除 {{count}} 个 人脸特征。",
+      "trainedFace": "人脸特征训练成功。",
+      "updatedFaceScore": "更新人脸特征评分成功。",
+      "renamedFace": "成功重命名人脸为{{name}}"
+    },
+    "error": {
+      "uploadingImageFailed": "图片上传失败：{{errorMessage}}",
+      "addFaceLibraryFailed": "人脸命名失败：{{errorMessage}}",
+      "deleteFaceFailed": "删除失败：{{errorMessage}}",
+      "deleteNameFailed": "特征集删除失败：{{errorMessage}}",
+      "trainFailed": "训练失败：{{errorMessage}}",
+      "updateFaceScoreFailed": "更新人脸评分失败：{{errorMessage}}",
+      "renameFaceFailed": "重命名人脸失败：{{errorMessage}}"
+    }
+  },
+  "steps": {
+    "faceName": "输入人脸姓名",
+    "uploadFace": "上传人脸照片",
+    "nextSteps": "下一步",
+    "description": {
+      "uploadFace": "上传一张{{name}}的正面人脸照片。图片无需裁剪为仅显示面部。"
+    }
+  },
+  "renameFace": {
+    "desc": "为 {{name}} 输入新的名称",
+    "title": "重命名人脸"
+  },
+  "collections": "特征库",
+  "deleteFaceAttempts": {
+    "desc_other": "你确定要删除 {{count}} 张人脸数据吗？此操作不可撤销。",
+    "title": "删除人脸"
+  },
+  "pixels": "{{area}} 像素",
+  "nofaces": "没有可用的人脸"
+}
diff --git a/web/public/locales/zh-CN/views/live.json b/web/public/locales/zh-CN/views/live.json
new file mode 100644
index 000000000..505781c4e
--- /dev/null
+++ b/web/public/locales/zh-CN/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "实时监控 - Frigate",
+  "documentTitle.withCamera": "{{camera}} - 实时监控 - Frigate",
+  "lowBandwidthMode": "低带宽模式",
+  "twoWayTalk": {
+    "enable": "开启实时对话",
+    "disable": "关闭实时通话"
+  },
+  "cameraAudio": {
+    "enable": "开启音频输出",
+    "disable": "关闭音频输出"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "点击画面以使摄像头居中",
+        "enable": "启用点击移动",
+        "disable": "禁用点击移动"
+      },
+      "left": {
+        "label": "PTZ摄像头向左移动"
+      },
+      "up": {
+        "label": "PTZ摄像头向上移动"
+      },
+      "down": {
+        "label": "PTZ摄像头向下移动"
+      },
+      "right": {
+        "label": "PTZ摄像头向右移动"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "PTZ摄像头放大"
+      },
+      "out": {
+        "label": "PTZ摄像头缩小"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "点击将PTZ摄像头画面居中"
+      }
+    },
+    "presets": "PTZ摄像头预设"
+  },
+  "camera": {
+    "enable": "开启摄像头",
+    "disable": "关闭摄像头"
+  },
+  "muteCameras": {
+    "enable": "屏蔽所有摄像头",
+    "disable": "取消屏蔽所有摄像头"
+  },
+  "detect": {
+    "enable": "启用检测",
+    "disable": "关闭检测"
+  },
+  "recording": {
+    "enable": "启用录制",
+    "disable": "关闭录制"
+  },
+  "snapshots": {
+    "enable": "启用快照",
+    "disable": "关闭快照"
+  },
+  "audioDetect": {
+    "enable": "启用音频检测",
+    "disable": "关闭音频检测"
+  },
+  "autotracking": {
+    "enable": "启用自动追踪",
+    "disable": "关闭自动追踪"
+  },
+  "streamStats": {
+    "enable": "显示视频流统计信息",
+    "disable": "隐藏视频流统计信息"
+  },
+  "manualRecording": {
+    "title": "按需录制",
+    "tips": "根据此摄像头的录制保留设置，手动启动事件。",
+    "playInBackground": {
+      "label": "后台播放",
+      "desc": "启用此选项可在播放器隐藏时继续视频流播放。"
+    },
+    "showStats": {
+      "label": "显示统计信息",
+      "desc": "启用此选项可在摄像头画面上叠加显示视频流统计信息。"
+    },
+    "debugView": "调试视图",
+    "start": "开始手动按需录制",
+    "started": "已启用手动按需录制。",
+    "failedToStart": "启动手动录制失败。",
+    "recordDisabledTips": "由于此摄像头的配置中禁用了录制或对其进行了限制，将只会保存快照。",
+    "end": "停止手动按需录制",
+    "ended": "已完成手动按需录制。",
+    "failedToEnd": "停止手动录制失败。"
+  },
+  "streamingSettings": "视频流设置",
+  "notifications": "通知",
+  "audio": "音频",
+  "suspend": {
+    "forTime": "暂停时长： "
+  },
+  "stream": {
+    "title": "视频流",
+    "audio": {
+      "tips": {
+        "title": "音频必须从摄像头输出并在 go2rtc 中配置为此视频流使用。",
+        "documentation": "阅读文档 "
+      },
+      "available": "此视频流支持音频",
+      "unavailable": "此视频流不支持音频"
+    },
+    "twoWayTalk": {
+      "tips": "您的设备必须支持此功能，并且必须配置 WebRTC 以支持双向对讲。",
+      "tips.documentation": "阅读文档 ",
+      "available": "此视频流支持双向对讲",
+      "unavailable": "此视频流不支持双向对讲"
+    },
+    "lowBandwidth": {
+      "tips": "由于缓冲或视频流错误，实时视图处于低带宽模式。",
+      "resetStream": "重置视频流"
+    },
+    "playInBackground": {
+      "label": "后台播放",
+      "tips": "启用此选项可在播放器隐藏时继续视频流播放。"
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} 设置",
+    "cameraEnabled": "摄像头已启用",
+    "objectDetection": "对象检测",
+    "recording": "录制",
+    "snapshots": "快照",
+    "audioDetection": "音频检测",
+    "autotracking": "自动跟踪"
+  },
+  "history": {
+    "label": "显示历史录像"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "全部",
+      "motion": "运动",
+      "active_objects": "活动对象"
+    },
+    "notAllTips": "您的 {{source}} 录制保留配置设置为 <code>mode: {{effectiveRetainMode}}</code>，因此此按需录制将仅保留包含 {{effectiveRetainModeName}} 的片段。"
+  },
+  "editLayout": {
+    "label": "编辑布局",
+    "group": {
+      "label": "编辑摄像机分组"
+    },
+    "exitEdit": "退出编辑"
+  }
+}
diff --git a/web/public/locales/zh-CN/views/recording.json b/web/public/locales/zh-CN/views/recording.json
new file mode 100644
index 000000000..77443e172
--- /dev/null
+++ b/web/public/locales/zh-CN/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "导出",
+  "calendar": "日历",
+  "filter": "过滤器",
+  "filters": "筛选条件",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "未选择有效的时间范围",
+      "endTimeMustAfterStartTime": "结束时间必须晚于开始时间"
+    }
+  }
+}
diff --git a/web/public/locales/zh-CN/views/search.json b/web/public/locales/zh-CN/views/search.json
new file mode 100644
index 000000000..b2f8c6d12
--- /dev/null
+++ b/web/public/locales/zh-CN/views/search.json
@@ -0,0 +1,74 @@
+{
+  "search": "搜索",
+  "savedSearches": "已保存的搜索",
+  "searchFor": "搜索 {{inputValue}}",
+  "button": {
+    "clear": "清除搜索",
+    "save": "保存搜索",
+    "delete": "删除已保存的搜索",
+    "filterInformation": "筛选信息",
+    "filterActive": "筛选器已激活"
+  },
+  "trackedObjectId": "跟踪对象 ID",
+  "filter": {
+    "label": {
+      "cameras": "摄像机",
+      "labels": "标签",
+      "zones": "区域",
+      "sub_labels": "子标签",
+      "search_type": "搜索类型",
+      "time_range": "时间范围",
+      "before": "之前",
+      "after": "之后",
+      "min_score": "最低分数",
+      "max_score": "最高分数",
+      "min_speed": "最低速度",
+      "max_speed": "最高速度",
+      "recognized_license_plate": "识别的车牌",
+      "has_clip": "包含片段",
+      "has_snapshot": "包含快照"
+    },
+    "searchType": {
+      "thumbnail": "缩略图",
+      "description": "描述"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "结束日期必须晚于开始日期。",
+        "afterDatebeEarlierBefore": "开始日期必须早于结束日期。",
+        "minScoreMustBeLessOrEqualMaxScore": "最低分数必须小于或等于最高分数。",
+        "maxScoreMustBeGreaterOrEqualMinScore": "最高分数必须大于或等于最低分数。",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "最低速度必须小于或等于最高速度。",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "最高速度必须大于或等于最低速度。"
+      }
+    },
+    "tips": {
+      "title": "如何使用文本筛选器",
+      "desc": {
+        "text": "筛选器可帮助您缩小搜索范围。注意，目前还暂不支持中文搜索。以下是在输入字段中使用筛选器的方法：",
+        "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>输入筛选器名称后跟一个冒号（例如：“cameras:”）。</li><li>从建议中选择一个值或输入您自己的值。</li><li>使用多个筛选器时，可以在它们之间用空格分隔。</li><li>日期筛选器（before: 和 after:）使用 <em>{{DateFormat}}</em> 格式。</li><li>时间范围筛选器使用 <em>{{exampleTime}}</em> 格式。</li><li>点击筛选器旁边的“x”即可移除筛选条件。</li></ul>",
+        "example": "示例：<code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM</code>",
+        "step2": "选择给出的建议值或自行输入；",
+        "step3": "多个过滤器之间用空格分隔；",
+        "step5": "时间范围过滤器使用 {{exampleTime}} 格式；",
+        "step6": "点击过滤器旁的'x'可移除该过滤选项。",
+        "exampleLabel": "范例：",
+        "step1": "输入过滤键名后接英文冒号（例如 \"cameras:\" ）；",
+        "step4": "日期过滤器（before: 和 after:）使用 {{DateFormat}} 格式；"
+      }
+    },
+    "header": {
+      "currentFilterType": "筛选值",
+      "noFilters": "筛选条件",
+      "activeFilters": "激活的筛选项"
+    }
+  },
+  "similaritySearch": {
+    "title": "相似搜索",
+    "active": "相似搜索已激活",
+    "clear": "清除相似搜索"
+  },
+  "placeholder": {
+    "search": "搜索…"
+  }
+}
diff --git a/web/public/locales/zh-CN/views/settings.json b/web/public/locales/zh-CN/views/settings.json
new file mode 100644
index 000000000..fb92e6b7b
--- /dev/null
+++ b/web/public/locales/zh-CN/views/settings.json
@@ -0,0 +1,681 @@
+{
+  "documentTitle": {
+    "default": "设置 - Frigate",
+    "authentication": "身份验证设置 - Frigate",
+    "camera": "摄像头设置 - Frigate",
+    "classification": "分类设置 - Frigate",
+    "masksAndZones": "遮罩和区域编辑器 - Frigate",
+    "motionTuner": "运动调整器 - Frigate",
+    "object": "调试 - Frigate",
+    "general": "常规设置 - Frigate",
+    "frigatePlus": "Frigate+ 设置 - Frigate",
+    "notifications": "通知设置 - Frigate",
+    "enrichments": "增强功能设置 - Frigate"
+  },
+  "menu": {
+    "ui": "界面设置",
+    "classification": "分类设置",
+    "cameras": "摄像头设置",
+    "masksAndZones": "遮罩/ 区域",
+    "motionTuner": "运动调整器",
+    "debug": "调试",
+    "users": "用户",
+    "notifications": "通知",
+    "frigateplus": "Frigate+",
+    "enrichments": "增强功能"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "你有未保存的更改。",
+      "desc": "是否要在继续之前保存更改？"
+    }
+  },
+  "cameraSetting": {
+    "camera": "摄像头",
+    "noCamera": "没有摄像头"
+  },
+  "general": {
+    "title": "常规设置",
+    "liveDashboard": {
+      "title": "实时监控面板",
+      "automaticLiveView": {
+        "label": "自动实时预览",
+        "desc": "检测到画面活动时将自动切换至该摄像头实时画面。禁用此选项会导致实时监控页面的摄像头图像每分钟只更新一次。"
+      },
+      "playAlertVideos": {
+        "label": "播放警报视频",
+        "desc": "默认情况下，实时监控页面上的最新警报会以一小段循环视频的形式进行播放。禁用此选项将仅显示浏览器本地缓存的静态图片。"
+      }
+    },
+    "storedLayouts": {
+      "title": "存储监控面板布局",
+      "desc": "可以在监控面板调整或拖动摄像头的布局。这些设置将保存在浏览器的本地存储中。",
+      "clearAll": "清除所有布局"
+    },
+    "cameraGroupStreaming": {
+      "title": "摄像头组视频流设置",
+      "desc": "每个摄像头组的视频流设置将保存在浏览器的本地存储中。",
+      "clearAll": "清除所有视频流设置"
+    },
+    "recordingsViewer": {
+      "title": "回放查看",
+      "defaultPlaybackRate": {
+        "label": "默认播放速率",
+        "desc": "调整播放录像时默认的速率。"
+      }
+    },
+    "calendar": {
+      "title": "日历",
+      "firstWeekday": {
+        "label": "每周第一天",
+        "desc": "设置每周第一天是星期几。",
+        "sunday": "星期天",
+        "monday": "星期一"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "已清除 {{cameraName}} 的存储布局",
+        "clearStreamingSettings": "已清除所有摄像头组的视频流设置。"
+      },
+      "error": {
+        "clearStoredLayoutFailed": "清除存储布局失败：{{errorMessage}}",
+        "clearStreamingSettingsFailed": "清除视频流设置失败：{{errorMessage}}"
+      }
+    }
+  },
+  "classification": {
+    "title": "分类设置",
+    "semanticSearch": {
+      "title": "语义搜索",
+      "desc": "Frigate的语义搜索能够让你使用自然语言根据图像本身、自定义的文本描述或自动生成的描述来搜索视频。",
+      "readTheDocumentation": "阅读文档（英文）",
+      "reindexNow": {
+        "label": "立即重建索引",
+        "desc": "重建索引将为所有跟踪对象重新生成特征向量。该过程将在后台运行，可能会使CPU满载，所需时间取决于跟踪对象的数量。",
+        "confirmTitle": "确认重建索引",
+        "confirmDesc": "确定要为所有跟踪对象重建特征向量索引吗？此过程将在后台运行，但可能会导致CPU满载并耗费较长时间。您可以在 浏览 页面查看进度。",
+        "confirmButton": "重建索引",
+        "success": "重建索引已成功启动。",
+        "alreadyInProgress": "重建索引已在执行中。",
+        "error": "启动重建索引失败：{{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用于语义搜索的语言模型大小。",
+        "small": {
+          "title": "小",
+          "desc": "使用 <strong>小</strong>模型。该模型将使用较少的内存，在CPU上也能较快的运行。质量较好。"
+        },
+        "large": {
+          "title": "大",
+          "desc": "使用 <strong>大</strong>模型。该模型采用了完整的Jina模型，并在适用的情况下使用GPU。"
+        }
+      }
+    },
+    "faceRecognition": {
+      "title": "人脸识别",
+      "desc": "人脸识别功能允许为人物分配名称，当识别到他们的面孔时，Frigate 会将人物的名字作为子标签进行分配。这些信息会显示在界面、过滤器以及通知中。",
+      "readTheDocumentation": "阅读文档（英文）",
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用于人脸识别的模型尺寸。",
+        "small": {
+          "title": "小",
+          "desc": "使用<b>小</b>模型将采用FaceNet人脸特征提取模型，可在大多数CPU上高效运行。"
+        },
+        "large": {
+          "title": "大",
+          "desc": "使用<b>大</b>模型将采用ArcFace人脸特征提取模型，若条件允许将自动使用GPU运行。"
+        }
+      }
+    },
+    "licensePlateRecognition": {
+      "title": "车牌识别",
+      "desc": "Frigate 可以识别车辆的车牌，并自动将检测到的字符添加到 recognized_license_plate 字段中，或将已知名称作为子标签添加到汽车类型的对象中。常见的使用场景可能是读取驶入车道的汽车车牌或经过街道的汽车车牌。",
+      "readTheDocumentation": "阅读文档（英文）"
+    },
+    "toast": {
+      "success": "分类设置已保存，请重启 Frigate 以应用更改。",
+      "error": "保存配置更改失败：{{errorMessage}}"
+    },
+    "birdClassification": {
+      "title": "鸟类识别分类",
+      "desc": "鸟类识别分类采用量化TensorFlow模型识别已知鸟类。当识别到已知鸟类时，其通用名称将作为子标签(sub_label)添加。该信息将显示在用户界面、过滤器及通知中。"
+    },
+    "restart_required": "需要重启（分类设置已修改）",
+    "unsavedChanges": "分类设置未保存"
+  },
+  "camera": {
+    "title": "摄像头设置",
+    "streams": {
+      "title": "视频流",
+      "desc": "暂时禁用摄像头，除非重启Frigate否则将保持禁用。禁用摄像头将完全停止 Frigate 对该摄像头视频流的处理。检测、录制和调试功能都将不可用。<br /><em>注意：该选项不会禁用 go2rtc 转播。</em>"
+    },
+    "review": {
+      "title": "核查",
+      "desc": "启用/禁用摄像头的警报和检测。禁用后，除非重启Frigate，否则不会生成新的核查项。 ",
+      "alerts": "警报 ",
+      "detections": "检测 "
+    },
+    "reviewClassification": {
+      "title": "核查分级",
+      "desc": "Frigate 将核查项分为“警报”和“检测”。默认情况下，所有的 <strong>人</strong>、<strong>汽车</strong> 对象都将视为警报。你可以通过修改配置文件配置区域来细分。",
+      "readTheDocumentation": "阅读文档",
+      "noDefinedZones": "该摄像头没有设置区域。",
+      "objectAlertsTips": "所有 {{alertsLabels}} 对象在 {{cameraName}} 下都将显示为警报。",
+      "zoneObjectAlertsTips": "所有 {{alertsLabels}} 对象在 {{cameraName}} 下的 {{zone}} 区内都将显示为警报。",
+      "objectDetectionsTips": "所有未在 {{cameraName}} 归类的 {{detectionsLabels}} 对象，无论它位于哪个区，都将显示为检测。",
+      "zoneObjectDetectionsTips": {
+        "text": "所有未在 {{cameraName}} 上归类为 {{detectionsLabels}} 的对象在 {{zone}} 区都将显示为检测。",
+        "notSelectDetections": "所有在 {{cameraName}} 下的 {{zone}} 区内检测到的 {{detectionsLabels}} 对象，如果它未归类为警报，无论它位于哪个区，都将显示为检测。",
+        "regardlessOfZoneObjectDetectionsTips": "所有未在 {{cameraName}} 归类的 {{detectionsLabels}} 对象，无论它位于哪个区域，都将显示为检测。"
+      },
+      "selectAlertsZones": "选择警报区",
+      "selectDetectionsZones": "选择检测区域",
+      "limitDetections": "限制仅在特定区域内进行检测",
+      "toast": {
+        "success": "核查分级配置已保存。请重启 Frigate 以应用更改。"
+      },
+      "unsavedChanges": "{{camera}} 的核查分类设置未保存"
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "所有遮罩和区域"
+    },
+    "toast": {
+      "success": {
+        "copyCoordinates": "已复制 {{polyName}} 的坐标到剪贴板。"
+      },
+      "error": {
+        "copyCoordinatesFailed": "无法复制坐标到剪贴板。"
+      }
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "区域名称必须至少包含 2 个字符。",
+          "mustNotBeSameWithCamera": "区域名称不能与摄像头名称相同。",
+          "alreadyExists": "该摄像头已有相同的区域名称。",
+          "mustNotContainPeriod": "区域名称不能包含句点。",
+          "hasIllegalCharacter": "区域名称包含非法字符。"
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "距离必须大于或等于 0.1。",
+          "mustBeFilled": "所有距离字段必须填写才能使用速度估算。"
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "惯性必须大于 0。"
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "徘徊时间必须大于或等于 0。"
+        }
+      },
+      "polygonDrawing": {
+        "removeLastPoint": "删除最后一个点",
+        "reset": {
+          "label": "清除所有点"
+        },
+        "snapPoints": {
+          "true": "启用点对齐",
+          "false": "禁用点对齐"
+        },
+        "delete": {
+          "title": "确认删除",
+          "desc": "你确定要删除{{type}} <em>{{name}}</em> 吗？",
+          "success": "{{name}} 已被删除。"
+        },
+        "error": {
+          "mustBeFinished": "多边形绘制必须完成闭合后才能保存。"
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "速度阈值必须大于或等于0.1。"
+        }
+      }
+    },
+    "zones": {
+      "label": "区域",
+      "documentTitle": "编辑区域 - Frigate",
+      "desc": {
+        "title": "该功能允许你定义特定区域，以便你可以确定特定对象是否在该区域内。",
+        "documentation": "文档"
+      },
+      "add": "添加区域",
+      "edit": "编辑区域",
+      "point_other": "{{count}} 点",
+      "clickDrawPolygon": "在图像上点击添加点绘制多边形区域。",
+      "name": {
+        "title": "区域名称",
+        "inputPlaceHolder": "请输入名称…",
+        "tips": "名称至少包含两个字符，且不能和摄像头或其他区域同名。<br>当前仅支持英文与数字组合。"
+      },
+      "inertia": {
+        "title": "惯性",
+        "desc": "识别指定对象前该对象必须在这个区域内出现了多少帧。<em>默认值：3</em>"
+      },
+      "loiteringTime": {
+        "title": "停留时间",
+        "desc": "设置对象必须在区域中活动的最小时间（单位为秒）。<em>默认值：0</em>"
+      },
+      "objects": {
+        "title": "对象",
+        "desc": "将在此区域应用的对象列表。"
+      },
+      "allObjects": "所有对象",
+      "speedEstimation": {
+        "title": "速度估算",
+        "desc": "启用此区域内物体的速度估算。该区域必须恰好包含 4 个点。",
+        "docs": "阅读文档",
+        "lineBDistance": "B线距离（{{unit}}）",
+        "lineCDistance": "C线距离（{{unit}}）",
+        "lineDDistance": "D线距离（{{unit}}）",
+        "lineADistance": "A线距离（{{unit}}）"
+      },
+      "speedThreshold": {
+        "title": "速度阈值 ({{unit}})",
+        "desc": "指定物体在此区域内被视为有效的最低速度。",
+        "toast": {
+          "error": {
+            "pointLengthError": "此区域的速度估算已禁用。启用速度估算的区域必须恰好包含 4 个点。",
+            "loiteringTimeError": "徘徊时间大于 0 的区域不应与速度估算一起使用。"
+          }
+        }
+      },
+      "toast": {
+        "success": "区域 ({{zoneName}}) 已保存。请重启 Frigate 以应用更改。"
+      }
+    },
+    "motionMasks": {
+      "label": "运动遮罩",
+      "documentTitle": "编辑运动遮罩 - Frigate",
+      "desc": {
+        "title": "运动遮罩用于防止触发不必要的运动类型。过度的设置遮罩将使对象更加难以被追踪。",
+        "documentation": "文档"
+      },
+      "add": "添加运动遮罩",
+      "edit": "编辑运动遮罩",
+      "context": {
+        "title": "运动遮罩用于防止不需要的运动类型触发检测（例如：树枝、摄像头画面显示的时间等）。运动遮罩需要<strong>谨慎使用</strong>，过度的遮罩会导致追踪对象变得更加困难。",
+        "documentation": "阅读文档"
+      },
+      "point_other": "{{count}} 点",
+      "clickDrawPolygon": "在图像上点击添加点绘制多边形区域。",
+      "polygonAreaTooLarge": {
+        "title": "运动遮罩的大小达到了摄像头画面的{{polygonArea}}%。不建议设置太大的运动遮罩。",
+        "tips": "运动遮罩不会阻止检测到对象，你应该使用区域来限制检测对象。",
+        "documentation": "阅读文档"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} 已保存。请重启 Frigate 以应用更改。",
+          "noName": "运动遮罩已保存。请重启 Frigate 以应用更改。"
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "对象遮罩",
+      "documentTitle": "编辑对象遮罩 - Frigate",
+      "desc": {
+        "title": "对象过滤器用于防止特定位置的指定对象被误报。",
+        "documentation": "文档"
+      },
+      "add": "添加对象遮罩",
+      "edit": "编辑对象遮罩",
+      "context": "对象过滤器用于防止特定位置的指定对象被误报。",
+      "point_other": "{{count}} 点",
+      "clickDrawPolygon": "在图像上点击添加点绘制多边形区域。",
+      "objects": {
+        "title": "对象",
+        "desc": "将应用于此对象遮罩的对象类型。",
+        "allObjectTypes": "所有对象类型"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} 已保存。请重启 Frigate 以应用更改。",
+          "noName": "对象遮罩已保存。请重启 Frigate 以应用更改。"
+        }
+      }
+    },
+    "restart_required": "需要重启（遮罩与区域已修改）",
+    "motionMaskLabel": "运动遮罩 {{number}}",
+    "objectMaskLabel": "对象遮罩 {{number}}（{{label}}）"
+  },
+  "motionDetectionTuner": {
+    "title": "运动检测调整器",
+    "desc": {
+      "title": "Frigate 将使用运动检测作为首个步骤，以确认一帧画面中是否有对象需要使用对象检测。",
+      "documentation": "阅读有关运动检测的文档"
+    },
+    "Threshold": {
+      "title": "阈值",
+      "desc": "阈值决定像素亮度高于多少时会被认为是运动。<em>默认值：30</em>"
+    },
+    "contourArea": {
+      "title": "轮廓面积",
+      "desc": "轮廓面积决定哪些变化的像素组符合运动条件。<em>默认值：10</em>"
+    },
+    "improveContrast": {
+      "title": "提高对比度",
+      "desc": "提高较暗场景的对比度。<em>默认值：启用</em>"
+    },
+    "toast": {
+      "success": "运动设置已保存。"
+    },
+    "unsavedChanges": "{{camera}} 的运动调整器设置未保存"
+  },
+  "debug": {
+    "title": "调试",
+    "detectorDesc": "Frigate 将使用检测器（{{detectors}}）来检测摄像头视频流中的对象。",
+    "desc": "调试界面将实时显示被追踪的对象以及统计信息，对象列表将显示检测到的对象和延迟显示的概览。",
+    "debugging": "调试选项",
+    "objectList": "对象列表",
+    "noObjects": "没有对象",
+    "boundingBoxes": {
+      "title": "边界框",
+      "desc": "将在被追踪的对象周围显示边界框",
+      "colors": {
+        "label": "对象边界框颜色定义",
+        "info": "<li>启用后，将会为每个对象标签分配不同的颜色</li><li>深蓝色细线代表该对象在当前时间点未被检测到</li><li>灰色细线代表检测到的物体静止不动</li><li>粗线表示该对象为自动跟踪的主体（在启动时）</li>"
+      }
+    },
+    "timestamp": {
+      "title": "时间戳",
+      "desc": "在图像上显示时间戳"
+    },
+    "zones": {
+      "title": "区域",
+      "desc": "显示已定义的区域图层"
+    },
+    "mask": {
+      "title": "运动遮罩",
+      "desc": "显示运动遮罩图层"
+    },
+    "motion": {
+      "title": "运动区域框",
+      "desc": "在检测到运动的区域显示区域框",
+      "tips": "<p><strong>运动区域框</strong></p><br><p>将在当前检测到运动的区域内显示红色区域框。</p>"
+    },
+    "regions": {
+      "title": "范围",
+      "desc": "显示发送到运动检测器感兴趣范围的框",
+      "tips": "<p><strong>范围框</strong></p><br><p>将在帧中发送到目标检测器的感兴趣范围上叠加绿色框。</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "允许绘制“对象形状过滤器”",
+      "desc": "在图像上绘制矩形，以查看区域和比例详细信息",
+      "tips": "启用此选项，能够在摄像头图像上绘制矩形，将显示其区域和比例。然后，您可以使用这些值在配置中设置对象形状过滤器参数。",
+      "document": "阅读文档 ",
+      "score": "分数",
+      "ratio": "比例",
+      "area": "区域"
+    }
+  },
+  "users": {
+    "title": "用户",
+    "management": {
+      "title": "用户管理",
+      "desc": "管理此 Frigate 实例的用户账户。"
+    },
+    "addUser": "添加用户",
+    "updatePassword": "修改密码",
+    "toast": {
+      "success": {
+        "createUser": "用户 {{user}} 创建成功",
+        "deleteUser": "用户 {{user}} 删除成功",
+        "updatePassword": "已成功修改密码。",
+        "roleUpdated": "已更新 {{user}} 的权限组"
+      },
+      "error": {
+        "setPasswordFailed": "保存密码出现错误：{{errorMessage}}",
+        "createUserFailed": "创建用户失败：{{errorMessage}}",
+        "deleteUserFailed": "删除用户失败：{{errorMessage}}",
+        "roleUpdateFailed": "更新权限组失败：{{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "用户名",
+      "actions": "操作",
+      "role": "权限组",
+      "noUsers": "未找到用户。",
+      "changeRole": "更改用户角色",
+      "password": "密码",
+      "deleteUser": "删除用户"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "用户名",
+          "desc": "仅允许使用字母、数字、句点和下划线。",
+          "placeholder": "请输入用户名"
+        },
+        "password": {
+          "title": "密码",
+          "placeholder": "请输入密码",
+          "confirm": {
+            "title": "确认密码",
+            "placeholder": "请再次输入密码"
+          },
+          "strength": {
+            "title": "密码强度： ",
+            "weak": "弱",
+            "medium": "中等",
+            "strong": "强",
+            "veryStrong": "非常强"
+          },
+          "match": "密码匹配",
+          "notMatch": "密码不匹配"
+        },
+        "newPassword": {
+          "title": "新密码",
+          "placeholder": "请输入新密码",
+          "confirm": {
+            "placeholder": "请再次输入新密码"
+          }
+        },
+        "usernameIsRequired": "用户名为必填项",
+        "passwordIsRequired": "必须输入密码"
+      },
+      "createUser": {
+        "title": "创建新用户",
+        "desc": "创建一个新用户账户，并指定一个角色以控制访问 Frigate UI 的权限。",
+        "usernameOnlyInclude": "用户名只能包含字母、数字和 _",
+        "confirmPassword": "请确认你的密码"
+      },
+      "deleteUser": {
+        "title": "删除该用户",
+        "desc": "此操作无法撤销。这将永久删除用户账户并移除所有相关数据。",
+        "warn": "你确定要删除 <strong>{{username}}</strong> 吗？"
+      },
+      "passwordSetting": {
+        "updatePassword": "更新 {{username}} 的密码",
+        "setPassword": "设置密码",
+        "desc": "创建一个强密码来保护此账户。",
+        "doNotMatch": "两次输入密码不匹配",
+        "cannotBeEmpty": "密码不能为空"
+      },
+      "changeRole": {
+        "title": "更改用户权限组",
+        "desc": "更新 <strong>{{username}}</strong> 的权限",
+        "roleInfo": {
+          "admin": "管理员",
+          "viewer": "成员",
+          "viewerDesc": "仅能够查看实时监控面板、核查、浏览和导出功能。",
+          "adminDesc": "完全功能与访问权限。",
+          "intro": "为该用户选择一个合适的权限组："
+        },
+        "select": "选择权限组"
+      }
+    }
+  },
+  "notification": {
+    "title": "通知",
+    "notificationSettings": {
+      "title": "通知设置",
+      "desc": "Frigate 在浏览器中运行或作为 PWA 安装时，可以原生向您的设备发送推送通知。",
+      "documentation": "阅读文档"
+    },
+    "globalSettings": {
+      "title": "全局设置",
+      "desc": "临时暂停所有已注册设备上特定摄像头的通知。"
+    },
+    "notificationUnavailable": {
+      "title": "通知功能不可用",
+      "desc": "网页推送通知需要安全连接（<code>https://…</code>）。这是浏览器的限制。请通过安全方式访问 Frigate 以使用通知功能。",
+      "documentation": "阅读文档"
+    },
+    "email": {
+      "title": "电子邮箱",
+      "placeholder": "例如：example@email.com",
+      "desc": "需要输入有效的电子邮件，在推送服务出现问题时，将使用此电子邮件进行通知。"
+    },
+    "cameras": {
+      "title": "摄像头",
+      "noCameras": "没有可用的摄像头",
+      "desc": "选择要启用通知的摄像头。"
+    },
+    "deviceSpecific": "设备专用设置",
+    "registerDevice": "注册该设备",
+    "unregisterDevice": "取消注册该设备",
+    "sendTestNotification": "发送测试通知",
+    "active": "通知已启用",
+    "suspended": "通知已暂停 {{time}}",
+    "suspendTime": {
+      "5minutes": "暂停 5 分钟",
+      "10minutes": "暂停 10 分钟",
+      "30minutes": "暂停 30 分钟",
+      "1hour": "暂停 1 小时",
+      "12hours": "暂停 12 小时",
+      "24hours": "暂停 24 小时",
+      "untilRestart": "暂停直到重启",
+      "suspend": "暂停"
+    },
+    "cancelSuspension": "取消暂停",
+    "toast": {
+      "success": {
+        "registered": "已成功注册通知。需要重启 Frigate 才能发送任何通知（包括测试通知）。",
+        "settingSaved": "通知设置已保存。"
+      },
+      "error": {
+        "registerFailed": "通知注册失败。"
+      }
+    },
+    "unsavedRegistrations": "未保存通知注册",
+    "unsavedChanges": "未保存通知设置更改"
+  },
+  "frigatePlus": {
+    "title": "Frigate+ 设置",
+    "apiKey": {
+      "title": "Frigate+ API 密钥",
+      "validated": "Frigate+ API 密钥已检测并验证通过",
+      "notValidated": "未检测到 Frigate+ API 密钥或验证未通过",
+      "desc": "Frigate+ API 密钥用于启用与 Frigate+ 服务的集成。",
+      "plusLink": "了解更多关于 Frigate+"
+    },
+    "snapshotConfig": {
+      "title": "快照配置",
+      "desc": "提交到 Frigate+ 需要同时在配置中启用快照和 <code>clean_copy</code> 快照。",
+      "documentation": "阅读文档",
+      "cleanCopyWarning": "部分摄像头已启用快照但未启用 clean_copy。您需要在快照配置中启用 <code>clean_copy</code>，才能将这些摄像头的图像提交到 Frigate+。",
+      "table": {
+        "camera": "摄像头",
+        "snapshots": "快照",
+        "cleanCopySnapshots": "<code>clean_copy</code> 快照"
+      }
+    },
+    "modelInfo": {
+      "title": "模型信息",
+      "modelType": "模型类型",
+      "trainDate": "训练日期",
+      "baseModel": "基础模型",
+      "supportedDetectors": "支持的检测器",
+      "dimensions": "大小",
+      "cameras": "摄像头",
+      "loading": "正在加载模型信息…",
+      "error": "加载模型信息失败",
+      "availableModels": "可用模型",
+      "loadingAvailableModels": "正在加载可用模型…",
+      "modelSelect": "您可以在Frigate+上选择可用的模型。请注意，只能选择与当前检测器配置兼容的模型。",
+      "plusModelType": {
+        "baseModel": "基础模型",
+        "userModel": "定向调优"
+      }
+    },
+    "toast": {
+      "success": "Frigate+ 设置已保存。请重启 Frigate 以应用更改。",
+      "error": "配置更改保存失败：{{errorMessage}}"
+    },
+    "restart_required": "需要重启（Frigate+模型已修改）",
+    "unsavedChanges": "未保存Frigate+变更设置"
+  },
+  "enrichments": {
+    "title": "增强功能设置",
+    "birdClassification": {
+      "desc": "鸟类分类通过量化的TensorFlow模型识别已知鸟类。当识别到已知鸟类时，其通用名称将作为子标签（sub_label）添加。此信息包含在用户界面、筛选器以及通知中。",
+      "title": "鸟类分类"
+    },
+    "semanticSearch": {
+      "reindexNow": {
+        "desc": "重建索引将为所有跟踪对象重新生成特征向量。该过程将在后台运行，可能会使CPU满载，所需时间取决于跟踪对象的数量。",
+        "label": "立即重建索引",
+        "confirmTitle": "确认重建索引",
+        "confirmDesc": "确定要为所有跟踪对象重建特征向量索引吗？此过程将在后台运行，但可能会导致CPU满载并耗费较长时间。您可以在 浏览 页面查看进度。",
+        "confirmButton": "重建索引",
+        "success": "重建索引已成功启动。",
+        "alreadyInProgress": "重建索引已在执行中。",
+        "error": "启动重建索引失败：{{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用于语义搜索的语言模型大小。",
+        "small": {
+          "title": "小",
+          "desc": "将使用 <strong>小</strong>模型。该模型将使用少量的内存，在CPU上也能较快的运行，质量较好。"
+        },
+        "large": {
+          "title": "大",
+          "desc": "将使用 <strong>大</strong>模型。该选项使用了完整的Jina模型，在合适的时候将自动使用GPU。"
+        }
+      },
+      "title": "分类搜索",
+      "desc": "Frigate中的语义搜索功能允许您通过使用图像本身、用户自定义的文本描述，或自动生成的文本描述等方式在核查项目中查找被追踪对象。",
+      "readTheDocumentation": "阅读文档"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate 可以识别车辆的车牌，并自动将检测到的字符添加到 recognized_license_plate 字段中，或将已知名称作为子标签添加到汽车类型的对象中。常见的使用场景可能是读取驶入车道的汽车车牌或经过街道的汽车车牌。",
+      "title": "车牌识别",
+      "readTheDocumentation": "阅读文档"
+    },
+    "faceRecognition": {
+      "desc": "人脸识别功能允许为人物分配名称，当识别到他们的面孔时，Frigate 会将人物的名字作为子标签进行分配。这些信息会显示在界面、过滤器以及通知中。",
+      "title": "人脸识别",
+      "readTheDocumentation": "阅读文档",
+      "modelSize": {
+        "label": "模型大小",
+        "desc": "用于人脸识别的模型大小。",
+        "small": {
+          "title": "小",
+          "desc": "将使用<strong>小</strong>模型。该选项采用FaceNet人脸特征提取模型，可在大多数CPU上高效运行。"
+        },
+        "large": {
+          "title": "大",
+          "desc": "将使用<strong>大</strong>模型。该选项使用ArcFace人脸特征提取模型，在需要的时候自动使用GPU运行。"
+        }
+      }
+    },
+    "toast": {
+      "success": "增强功能设置已保存。请重启 Frigate 以应用更改。",
+      "error": "配置更改保存失败：{{errorMessage}}"
+    },
+    "unsavedChanges": "增强功能设置未保存",
+    "restart_required": "需要重启（增强功能设置已保存）"
+  }
+}
diff --git a/web/public/locales/zh-CN/views/system.json b/web/public/locales/zh-CN/views/system.json
new file mode 100644
index 000000000..befc4bc50
--- /dev/null
+++ b/web/public/locales/zh-CN/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "摄像头统计 - Frigate",
+    "storage": "存储统计 - Frigate",
+    "general": "常规统计 - Frigate",
+    "enrichments": "增强功能统计 - Frigate",
+    "logs": {
+      "frigate": "Frigate 日志 - Frigate",
+      "go2rtc": "Go2RTC 日志 - Frigate",
+      "nginx": "Nginx 日志 - Frigate"
+    }
+  },
+  "title": "系统",
+  "metrics": "系统指标",
+  "logs": {
+    "download": {
+      "label": "下载日志"
+    },
+    "copy": {
+      "label": "复制到剪贴板",
+      "success": "已复制日志到剪贴板",
+      "error": "无法复制日志到剪贴板"
+    },
+    "type": {
+      "label": "类型",
+      "timestamp": "时间戳",
+      "tag": "标签",
+      "message": "消息"
+    },
+    "tips": "日志正在从服务器流式传输",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "获取日志出错：{{errorMessage}}",
+        "whileStreamingLogs": "流式传输日志时出错：{{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "常规",
+    "detector": {
+      "title": "检测器",
+      "inferenceSpeed": "检测器推理速度",
+      "cpuUsage": "检测器CPU使用率",
+      "memoryUsage": "检测器内存使用率",
+      "temperature": "检测器温度"
+    },
+    "hardwareInfo": {
+      "title": "硬件信息",
+      "gpuUsage": "GPU使用率",
+      "gpuMemory": "GPU显存",
+      "gpuEncoder": "GPU编码",
+      "gpuDecoder": "GPU解码",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo 输出",
+          "returnCode": "返回代码：{{code}}",
+          "processOutput": "进程输出：",
+          "processError": "进程错误："
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI 输出",
+          "name": "名称：{{name}}",
+          "driver": "驱动：{{driver}}",
+          "cudaComputerCapability": "CUDA计算能力：{{cuda_compute}}",
+          "vbios": "VBios信息：{{vbios}}"
+        },
+        "closeInfo": {
+          "label": "关闭GPU信息"
+        },
+        "copyInfo": {
+          "label": "复制GPU信息"
+        },
+        "toast": {
+          "success": "已复制GPU信息到剪贴板"
+        }
+      },
+      "npuMemory": "NPU内存",
+      "npuUsage": "NPU使用率"
+    },
+    "otherProcesses": {
+      "title": "其他进程",
+      "processCpuUsage": "主进程CPU使用率",
+      "processMemoryUsage": "主进程内存使用率"
+    }
+  },
+  "storage": {
+    "title": "存储",
+    "overview": "概览",
+    "recordings": {
+      "title": "录制内容",
+      "tips": "该值表示 Frigate 数据库中录制内容所使用的总存储空间。Frigate 不会追踪磁盘上所有文件的存储使用情况。",
+      "earliestRecording": "最早的可用录制："
+    },
+    "cameraStorage": {
+      "title": "摄像头存储",
+      "camera": "摄像头",
+      "unusedStorageInformation": "未使用存储信息",
+      "storageUsed": "存储使用",
+      "percentageOfTotalUsed": "总使用率",
+      "bandwidth": "带宽",
+      "unused": {
+        "title": "未使用",
+        "tips": "如果您的驱动器上存储了除 Frigate 录制内容之外的其他文件，该值可能无法准确反映 Frigate 可用的剩余空间。Frigate 不会追踪录制内容以外的存储使用情况。"
+      }
+    }
+  },
+  "cameras": {
+    "title": "摄像头",
+    "overview": "概览",
+    "info": {
+      "cameraProbeInfo": "{{camera}} 的摄像头信息",
+      "streamDataFromFFPROBE": "流数据信息通过<code>ffprobe</code>获取。",
+      "fetching": "正在获取摄像头数据",
+      "stream": "视频流{{idx}}",
+      "video": "视频：",
+      "codec": "编解码器：",
+      "resolution": "分辨率：",
+      "fps": "帧率：",
+      "unknown": "未知",
+      "audio": "音频：",
+      "error": "错误：{{error}}",
+      "tips": {
+        "title": "摄像头信息"
+      },
+      "aspectRatio": "宽高比"
+    },
+    "framesAndDetections": "帧数/检测次数",
+    "label": {
+      "camera": "摄像头",
+      "detect": "检测",
+      "skipped": "跳过",
+      "ffmpeg": "FFmpeg编码器",
+      "capture": "捕获",
+      "overallFramesPerSecond": "每秒总帧数",
+      "overallDetectionsPerSecond": "每秒总检测数",
+      "overallSkippedDetectionsPerSecond": "每秒跳过检测数",
+      "cameraCapture": "{{camName}} 捕获",
+      "cameraDetect": "{{camName}} 检测",
+      "cameraDetectionsPerSecond": "{{camName}} 每秒检测数",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} 每秒跳过检测数",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraFramesPerSecond": "{{camName}} 每秒帧数"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "已复制检测数据到剪贴板。"
+      },
+      "error": {
+        "unableToProbeCamera": "无法检测到摄像头：{{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "最后刷新时间： ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} 的 FFmpeg CPU 使用率较高（{{ffmpegAvg}}%）",
+    "detectHighCpuUsage": "{{camera}} 的 检测器 CPU 使用率较高（{{detectAvg}}%）",
+    "healthy": "系统运行正常",
+    "reindexingEmbeddings": "正在重新索引嵌入（已完成 {{processed}}%）",
+    "detectIsSlow": "{{detect}} 运行缓慢（{{speed}}毫秒）",
+    "detectIsVerySlow": "{{detect}} 运行非常缓慢（{{speed}}毫秒）",
+    "cameraIsOffline": "{{camera}} 已离线"
+  },
+  "enrichments": {
+    "title": "增强功能",
+    "infPerSecond": "每秒推理次数",
+    "embeddings": {
+      "image_embedding_speed": "图像特征提取速度",
+      "face_embedding_speed": "人脸特征提取速度",
+      "plate_recognition_speed": "车牌识别速度",
+      "text_embedding_speed": "文本编码速度",
+      "face_recognition_speed": "人脸识别速度",
+      "image_embedding": "图像特征提取",
+      "text_embedding": "文字编码",
+      "face_recognition": "人脸特征提取",
+      "plate_recognition": "车牌识别",
+      "yolov9_plate_detection_speed": "YOLOv9 车牌检测速度",
+      "yolov9_plate_detection": "YOLOv9 车牌检测"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/audio.json b/web/public/locales/zh-Hant/audio.json
new file mode 100644
index 000000000..bb37e6bd4
--- /dev/null
+++ b/web/public/locales/zh-Hant/audio.json
@@ -0,0 +1,39 @@
+{
+  "speech": "說話聲",
+  "babbling": "牙牙學語",
+  "bicycle": "腳踏車",
+  "yell": "大叫",
+  "car": "車",
+  "bellow": "吼叫",
+  "boat": "船",
+  "crying": "哭聲",
+  "sigh": "嘆氣",
+  "singing": "歌聲",
+  "choir": "合唱",
+  "yodeling": "山歌",
+  "chant": "誦經",
+  "mantra": "咒語",
+  "camera": "鏡頭",
+  "motorcycle": "摩托車",
+  "bus": "巴士",
+  "train": "火車",
+  "bird": "鳥",
+  "cat": "貓",
+  "dog": "狗",
+  "horse": "馬",
+  "sheep": "羊",
+  "skateboard": "滑板",
+  "door": "門",
+  "mouse": "滑鼠",
+  "keyboard": "鍵盤",
+  "sink": "水槽",
+  "blender": "果汁機",
+  "clock": "時鐘",
+  "scissors": "剪刀",
+  "hair_dryer": "吹風機",
+  "toothbrush": "牙刷",
+  "vehicle": "車輛",
+  "animal": "動物",
+  "bark": "樹皮",
+  "goat": "山羊"
+}
diff --git a/web/public/locales/zh-Hant/common.json b/web/public/locales/zh-Hant/common.json
new file mode 100644
index 000000000..acc7a0a08
--- /dev/null
+++ b/web/public/locales/zh-Hant/common.json
@@ -0,0 +1,251 @@
+{
+  "time": {
+    "untilForTime": "直到 {{time}}",
+    "untilForRestart": "直到 Frigate 重新啟動。",
+    "untilRestart": "直到重新啟動",
+    "ago": "{{timeAgo}} 前",
+    "last14": "過去 14 天",
+    "last30": "過去 30 天",
+    "thisWeek": "這週",
+    "lastWeek": "上週",
+    "thisMonth": "這個月",
+    "lastMonth": "上個月",
+    "justNow": "剛剛",
+    "today": "今天",
+    "yesterday": "昨天",
+    "last7": "過去 7 天",
+    "5minutes": "5 分鐘",
+    "10minutes": "10 分鐘",
+    "30minutes": "30 分鐘",
+    "1hour": "1 小時",
+    "12hours": "12 小時",
+    "24hours": "24 小時",
+    "pm": "下午",
+    "am": "上午",
+    "yr": "{{time}} 年",
+    "year_other": "{{time}} 年",
+    "mo": "{{time}} 月",
+    "month_other": "{{time}} 月",
+    "d": "{{time}} 日",
+    "day_other": "{{time}}天",
+    "h": "{{time}}時",
+    "hour_other": "{{time}}小時",
+    "m": "{{time}}分",
+    "minute_other": "{{time}}分鐘",
+    "s": "{{time}}秒",
+    "second_other": "{{time}}秒鐘",
+    "formattedTimestamp": {
+      "12hour": "M 月 d 日 ah:mm:ss",
+      "24hour": "M 月 d 日 HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM 月 dd 日 ah:mm:ss",
+      "24hour": "MM 月 dd 日 HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "a h:mm",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "a h:mm:ss",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "M 月 d 日 ah:mm",
+      "24hour": "M 月 d 日 HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "yy 年 MM 月 dd 日",
+      "24hour": "yy 年 MM 月 dd 日"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "yyyy 年 M 月 d 日 ah:mm",
+      "24hour": "yyyy 年 M 月 d 日 HH:mm"
+    },
+    "formattedTimestampMonthDay": "M 月 d 日",
+    "formattedTimestampFilename": {
+      "12hour": "yy年MM月dd日 ah時mm分ss秒",
+      "24hour": "yy年MM月dd日 HH時mm分ss秒"
+    }
+  },
+  "unit": {
+    "speed": {
+      "mph": "英里/小時",
+      "kph": "公里/小時"
+    },
+    "length": {
+      "feet": "英尺",
+      "meters": "公尺"
+    }
+  },
+  "label": {
+    "back": "返回"
+  },
+  "button": {
+    "apply": "套用",
+    "reset": "重置",
+    "done": "完成",
+    "enabled": "已啟用",
+    "enable": "啟用",
+    "disabled": "已停用",
+    "disable": "停用",
+    "save": "保存",
+    "saving": "保存中…",
+    "cancel": "取消",
+    "close": "關閉",
+    "copy": "複製",
+    "back": "返回",
+    "history": "歷史紀錄",
+    "fullscreen": "全螢幕",
+    "exitFullscreen": "退出全螢幕",
+    "pictureInPicture": "子母畫面",
+    "twoWayTalk": "雙向通話",
+    "cameraAudio": "鏡頭音訊",
+    "on": "開",
+    "off": "關",
+    "edit": "編輯",
+    "copyCoordinates": "複製座標",
+    "delete": "刪除",
+    "yes": "是",
+    "no": "否",
+    "download": "下載",
+    "info": "資訊",
+    "suspended": "已暫停",
+    "unsuspended": "取消暫停",
+    "play": "播放",
+    "unselect": "取消選取",
+    "export": "匯出",
+    "deleteNow": "立即刪除",
+    "next": "繼續"
+  },
+  "menu": {
+    "system": "系統",
+    "systemMetrics": "系統訊息",
+    "configuration": "設定",
+    "systemLogs": "系統日誌",
+    "settings": "設定",
+    "configurationEditor": "設定編輯器",
+    "languages": "語言",
+    "language": {
+      "en": "English (英文)",
+      "es": "Español (西班牙文)",
+      "zhCN": "简体中文 (簡體中文)",
+      "hi": "हिन्दी (印地文)",
+      "fr": "Français (法文)",
+      "ar": "العربية (阿拉伯文)",
+      "pt": "Português (葡萄牙文)",
+      "ru": "Русский (俄文)",
+      "de": "Deutsch (德文)",
+      "ja": "日本語 (日文)",
+      "tr": "Türkçe (土耳其文)",
+      "it": "Italiano (義大利文)",
+      "nl": "Nederlands (荷蘭文)",
+      "sv": "Svenska (瑞典文)",
+      "cs": "Čeština (捷克文)",
+      "nb": "Norsk Bokmål (挪威文)",
+      "ko": "한국어 (韓文)",
+      "vi": "Tiếng Việt (越南文)",
+      "fa": "فارسی (波斯文)",
+      "pl": "Polski (波蘭文)",
+      "uk": "Українська (烏克蘭文)",
+      "he": "עברית (希伯來文)",
+      "el": "Ελληνικά (希臘文)",
+      "ro": "Română (羅馬尼亞文)",
+      "hu": "Magyar (匈牙利文)",
+      "fi": "Suomi (芬蘭文)",
+      "da": "Dansk (丹麥文)",
+      "sk": "Slovenčina (斯洛伐克文)",
+      "yue": "粵語 (粵語)",
+      "th": "ไทย (泰文)",
+      "ca": "Català (加泰隆尼亞文)",
+      "withSystem": {
+        "label": "使用系統語言設定"
+      }
+    },
+    "appearance": "外觀",
+    "darkMode": {
+      "label": "深色模式",
+      "light": "淺色",
+      "dark": "深色",
+      "withSystem": {
+        "label": "使用系統外觀模式設定"
+      }
+    },
+    "withSystem": "系統",
+    "theme": {
+      "label": "主題",
+      "blue": "藍色",
+      "green": "綠色",
+      "nord": "北歐風",
+      "red": "紅色",
+      "highcontrast": "高對比",
+      "default": "預設"
+    },
+    "help": "幫助",
+    "documentation": {
+      "title": "文件",
+      "label": "Frigate 文件"
+    },
+    "restart": "重新啟動 Frigate",
+    "live": {
+      "title": "即時影像",
+      "allCameras": "所有鏡頭",
+      "cameras": {
+        "title": "鏡頭",
+        "count_other": "{{count}} 個鏡頭"
+      }
+    },
+    "review": "審核",
+    "explore": "瀏覽",
+    "export": "匯出",
+    "uiPlayground": "UI 測試區",
+    "faceLibrary": "人臉資料庫",
+    "user": {
+      "title": "使用者",
+      "account": "帳號",
+      "current": "當前使用者：{{user}}",
+      "anonymous": "匿名",
+      "logout": "登出",
+      "setPassword": "設定密碼"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "已複製連結至剪貼簿。",
+    "save": {
+      "title": "保存",
+      "error": {
+        "title": "保存設定變更失敗：{{errorMessage}}",
+        "noMessage": "保存設定變更失敗"
+      }
+    }
+  },
+  "role": {
+    "title": "角色",
+    "admin": "管理員",
+    "viewer": "檢視者",
+    "desc": "管理員可以存取 Frigate UI 的全部功能。檢視者僅能查看鏡頭影像、審核物件及歷史紀錄。"
+  },
+  "pagination": {
+    "label": "分頁",
+    "previous": {
+      "title": "上一頁",
+      "label": "前往上一頁"
+    },
+    "next": {
+      "title": "下一頁",
+      "label": "前往下一頁"
+    },
+    "more": "更多頁面"
+  },
+  "accessDenied": {
+    "documentTitle": "拒絕存取 - Frigate",
+    "title": "拒絕存取",
+    "desc": "你沒有瀏覽此頁面的權限。"
+  },
+  "notFound": {
+    "documentTitle": "找不到頁面 - Frigate",
+    "title": "404",
+    "desc": "找不到頁面"
+  },
+  "selectItem": "選擇 {{item}}"
+}
diff --git a/web/public/locales/zh-Hant/components/auth.json b/web/public/locales/zh-Hant/components/auth.json
new file mode 100644
index 000000000..34b97ef78
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/auth.json
@@ -0,0 +1,15 @@
+{
+  "form": {
+    "user": "使用者名稱",
+    "password": "密碼",
+    "login": "登入",
+    "errors": {
+      "usernameRequired": "使用者名稱不可為空",
+      "webUnknownError": "未知的錯誤，請檢查控制台日誌。",
+      "passwordRequired": "密碼不可為空",
+      "rateLimit": "超過次數限制，請稍後再試。",
+      "loginFailed": "登入失敗",
+      "unknownError": "未知錯誤，請檢查日誌。"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/camera.json b/web/public/locales/zh-Hant/components/camera.json
new file mode 100644
index 000000000..d07662c7e
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "鏡頭群組",
+    "add": "新增鏡頭群組",
+    "edit": "編輯鏡頭群組",
+    "delete": {
+      "label": "刪除鏡頭群組",
+      "confirm": {
+        "title": "確認刪除",
+        "desc": "你確定要刪除鏡頭群組 <em>{{name}}</em> 嗎？"
+      }
+    },
+    "name": {
+      "errorMessage": {
+        "mustLeastCharacters": "鏡頭群組名稱需至少包含兩個字元。",
+        "exists": "鏡頭群組名稱已存在。",
+        "nameMustNotPeriod": "鏡頭群組名稱不可包含點（.）。",
+        "invalid": "無效的鏡頭群組名稱。"
+      },
+      "label": "名稱",
+      "placeholder": "請輸入名稱…"
+    },
+    "cameras": {
+      "label": "鏡頭",
+      "desc": "選擇欲添加至群組的鏡頭。"
+    },
+    "icon": "圖標",
+    "success": "鏡頭群組（{{name}}）已儲存。",
+    "camera": {
+      "setting": {
+        "label": "鏡頭串流設定",
+        "title": "{{cameraName}} 串流設定",
+        "desc": "更改此鏡頭群組控制台的串流選項。<em>這些設定是裝置/瀏覽器專屬的。</em>",
+        "audioIsAvailable": "此串流有提供音訊",
+        "audioIsUnavailable": "此串流不提供音訊",
+        "audio": {
+          "tips": {
+            "title": "此串流必須從你的鏡頭輸出音訊並在 go2rtc 中設定。",
+            "document": "請參照文件 "
+          }
+        },
+        "stream": "串流",
+        "placeholder": "選擇串流",
+        "streamMethod": {
+          "label": "串流方式",
+          "placeholder": "選擇串流方式",
+          "method": {
+            "noStreaming": {
+              "label": "沒有串流",
+              "desc": "鏡頭影像每分鐘只會更新一次，並且不會進行串流。"
+            },
+            "smartStreaming": {
+              "label": "智慧串流（建議）",
+              "desc": "智慧串流在沒有偵測到活動時會每分鐘只更新一次鏡頭影像以節約頻寬及資源。並在偵測到活動時切換為即時串流。"
+            },
+            "continuousStreaming": {
+              "label": "持續串流",
+              "desc": {
+                "title": "即使為偵測到任何活動，鏡頭影像在處於畫面中時會保持即時串流。",
+                "warning": "持續串流可能會佔用較高的頻寬並且可能會對效能造成影響，請謹慎使用。"
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "相容模式",
+          "desc": "只有在鏡頭的串流影像中出現色彩異常及右側有斜線時才啟用此選項。"
+        }
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "設定",
+      "title": "選項",
+      "showOptions": "顯示選項",
+      "hideOptions": "隱藏選項"
+    },
+    "boundingBox": "定界框",
+    "timestamp": "時間戳",
+    "zones": "區域",
+    "mask": "遮罩",
+    "motion": "移動",
+    "regions": "區塊"
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/dialog.json b/web/public/locales/zh-Hant/components/dialog.json
new file mode 100644
index 000000000..a29b487e1
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/dialog.json
@@ -0,0 +1,112 @@
+{
+  "restart": {
+    "title": "你確定要重新啟動 Frigate 嗎？",
+    "button": "重新啟動",
+    "restarting": {
+      "title": "Frigate 正在重新啟動",
+      "content": "此頁面將在 {{countdown}} 秒後重新載入。",
+      "button": "立即重新載入"
+    }
+  },
+  "explore": {
+    "plus": {
+      "review": {
+        "question": {
+          "label": "確認此 Frigate Plus 標籤",
+          "ask_a": "此物件是 <code>{{label}}</code> 嗎？",
+          "ask_an": "此物件是 <code>{{label}}</code> 嗎？",
+          "ask_full": "此物件是 <code>{{untranslatedLabel}}</code> ({{translatedLabel}}) 嗎？"
+        },
+        "state": {
+          "submitted": "已提交"
+        }
+      },
+      "submitToPlus": {
+        "label": "提交到 Frigate+",
+        "desc": "在你欲遮蓋範圍內的物件並不是誤判。將他們標示為誤判並提交會使模型混淆。"
+      }
+    },
+    "video": {
+      "viewInHistory": "在歷史記錄中查看"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "從時間線選擇",
+      "lastHour_other": "過去 {{count}} 個小時",
+      "custom": "自定義",
+      "start": {
+        "title": "開始時間",
+        "label": "選擇開始時間"
+      },
+      "end": {
+        "title": "結束時間",
+        "label": "選擇結束時間"
+      }
+    },
+    "name": {
+      "placeholder": "替匯出資料命名"
+    },
+    "select": "選擇",
+    "export": "匯出",
+    "selectOrExport": "選擇或匯出",
+    "toast": {
+      "success": "成功開始匯出。請至 /exports 資料夾查看匯出資料。",
+      "error": {
+        "failed": "匯出失敗：{{error}}",
+        "endTimeMustAfterStartTime": "結束時間必須要在開始時間之後",
+        "noVaildTimeSelected": "沒有選取有效的時間範圍"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "保存匯出資料",
+      "previewExport": "預覽匯出資料"
+    }
+  },
+  "streaming": {
+    "label": "串流",
+    "restreaming": {
+      "disabled": "此鏡頭並未啟用串流重導向。",
+      "desc": {
+        "title": "設定 go2rtc 以啟用更多此鏡頭的預覽選項及音訊。",
+        "readTheDocumentation": "閱讀文件"
+      }
+    },
+    "showStats": {
+      "label": "顯示串流統計資料",
+      "desc": "啟用此選項以在鏡頭畫面上顯示串流統計資料。"
+    },
+    "debugView": "除錯檢視"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "保存搜尋",
+      "desc": "替此保存的搜尋命名。",
+      "placeholder": "請輸入搜尋的名稱",
+      "overwrite": "{{searchName}} 已存在。保存將會覆蓋現有資料。",
+      "success": "搜尋 {{searchName}} 已保存。",
+      "button": {
+        "save": {
+          "label": "保存此次搜尋"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "確認刪除",
+      "desc": {
+        "selected": "你確定要刪除所有與此查核項目有關的錄影檔案嗎？<br /><br />按住<em>Shift</em>以在未來跳過此確認步驟。"
+      },
+      "toast": {
+        "success": "已成功刪除與選擇的審核物件有關的影片片段。",
+        "error": "刪除失敗：{{error}}"
+      }
+    },
+    "button": {
+      "export": "匯出",
+      "markAsReviewed": "標記為已審核",
+      "deleteNow": "立即刪除"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/filter.json b/web/public/locales/zh-Hant/components/filter.json
new file mode 100644
index 000000000..a1192ac59
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/filter.json
@@ -0,0 +1,126 @@
+{
+  "filter": "過濾",
+  "labels": {
+    "label": "標籤",
+    "all": {
+      "title": "所有標籤",
+      "short": "標籤"
+    },
+    "count_one": "{{count}} 個標籤",
+    "count_other": "{{count}} 個標籤"
+  },
+  "zones": {
+    "all": {
+      "title": "所有區域",
+      "short": "區域"
+    },
+    "label": "區域"
+  },
+  "dates": {
+    "selectPreset": "選擇預設設定…",
+    "all": {
+      "title": "所有日期",
+      "short": "日期"
+    }
+  },
+  "more": "更多過濾條件",
+  "reset": {
+    "label": "重設過濾條件為預設值"
+  },
+  "timeRange": "時間範圍",
+  "subLabels": {
+    "label": "子標籤",
+    "all": "所有子標籤"
+  },
+  "score": "分數",
+  "estimatedSpeed": "估計速度({{unit}})",
+  "features": {
+    "label": "特徵",
+    "hasSnapshot": "包含截圖",
+    "hasVideoClip": "包含影片片段",
+    "submittedToFrigatePlus": {
+      "label": "已提交至 Frigate+",
+      "tips": "你必須先過濾出包含截圖的追蹤物件。<br /><br />無法提交不包含截圖的追蹤物件至 Frigate+。"
+    }
+  },
+  "sort": {
+    "label": "排序",
+    "dateAsc": "日期（由舊到新）",
+    "dateDesc": "日期（由新到舊）",
+    "scoreAsc": "物件分數（由小到大）",
+    "scoreDesc": "物件分數（由大到小）",
+    "speedAsc": "估計速度（由慢到快）",
+    "speedDesc": "估計速度（由快到慢）",
+    "relevance": "相關性"
+  },
+  "cameras": {
+    "label": "鏡頭過濾",
+    "all": {
+      "title": "所有鏡頭",
+      "short": "鏡頭"
+    }
+  },
+  "review": {
+    "showReviewed": "顯示已審核的內容"
+  },
+  "motion": {
+    "showMotionOnly": "僅顯示有移動的內容"
+  },
+  "explore": {
+    "settings": {
+      "title": "設定",
+      "defaultView": {
+        "title": "預設檢視",
+        "desc": "當未選擇過濾條件時，顯示每個標籤最近追蹤物件的摘要，或顯示未過濾的網格。",
+        "summary": "摘要",
+        "unfilteredGrid": "未過濾的網格"
+      },
+      "gridColumns": {
+        "title": "網格欄位數",
+        "desc": "選擇檢視網格的欄位數量。"
+      },
+      "searchSource": {
+        "label": "搜尋來源",
+        "desc": "選擇搜尋追蹤物件的截圖或是說明。",
+        "options": {
+          "thumbnailImage": "截圖",
+          "description": "說明"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "選擇要過濾的日期"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "過濾日誌等級",
+    "filterBySeverity": "依嚴重程度過濾日誌",
+    "loading": {
+      "title": "讀取中",
+      "desc": "當日誌頁面捲動到底部時，新日誌將自動更新顯示。"
+    },
+    "disableLogStreaming": "停用日誌串流",
+    "allLogs": "所有日誌"
+  },
+  "trackedObjectDelete": {
+    "title": "確認刪除",
+    "desc": "刪除這 {{objectLength}} 個追蹤物件將會刪除截圖、儲存的嵌入資料，以及相關的物件生命週期紀錄。歷史記錄中的錄影檔案<em>不會</em>被刪除。<br /><br />你確定要繼續嗎？<br /><br />按住 <em>Shift</em> 可在未來跳過這個確認內容。",
+    "toast": {
+      "success": "成功刪除追蹤物件。",
+      "error": "刪除追蹤物件失敗：{{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "按區域遮罩過濾"
+  },
+  "recognizedLicensePlates": {
+    "title": "已辨識車牌",
+    "loadFailed": "讀取已辨識車牌失敗。",
+    "loading": "讀取已辨識車牌中…",
+    "placeholder": "輸入以搜尋車牌…",
+    "noLicensePlatesFound": "未找到車牌。",
+    "selectPlatesFromList": "從列表中選擇一個或多個車牌。"
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/icons.json b/web/public/locales/zh-Hant/components/icons.json
new file mode 100644
index 000000000..467858b8d
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "選擇圖示",
+    "search": {
+      "placeholder": "搜尋圖示…"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/input.json b/web/public/locales/zh-Hant/components/input.json
new file mode 100644
index 000000000..df3ed93c0
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "下載影片",
+      "toast": {
+        "success": "你的審查影片已開始下載。"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/components/player.json b/web/public/locales/zh-Hant/components/player.json
new file mode 100644
index 000000000..dbecdb2be
--- /dev/null
+++ b/web/public/locales/zh-Hant/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "此時間段內沒有錄影",
+  "noPreviewFound": "找不到預覽",
+  "noPreviewFoundFor": "找不到 {{cameraName}} 的預覽",
+  "submitFrigatePlus": {
+    "title": "提交此畫面至 Frigate+？",
+    "submit": "提交"
+  },
+  "streamOffline": {
+    "desc": "{{cameraName}} 的 <code>detect</code> 串流未接收到任何畫面，請檢查錯誤日誌",
+    "title": "串流離線"
+  },
+  "cameraDisabled": "鏡頭已關閉",
+  "stats": {
+    "streamType": {
+      "title": "串流類型：",
+      "short": "類型"
+    },
+    "bandwidth": {
+      "title": "頻寬：",
+      "short": "頻寬"
+    },
+    "latency": {
+      "title": "延遲：",
+      "value": "{{seconds}} 秒",
+      "short": {
+        "title": "延遲",
+        "value": "{{seconds}} 秒"
+      }
+    },
+    "totalFrames": "總幀數：",
+    "droppedFrames": {
+      "title": "掉幀數：",
+      "short": {
+        "title": "掉幀",
+        "value": "{{droppedFrames}} 幀"
+      }
+    },
+    "decodedFrames": "已解碼幀數：",
+    "droppedFrameRate": "掉幀率："
+  },
+  "livePlayerRequiredIOSVersion": "此串流類型需要 IOS 17.1 或以上版本。",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "成功提交畫面至 Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "提交畫面至 Frigate+ 失敗"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/objects.json b/web/public/locales/zh-Hant/objects.json
new file mode 100644
index 000000000..092506cdd
--- /dev/null
+++ b/web/public/locales/zh-Hant/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "人",
+  "bicycle": "腳踏車",
+  "car": "車",
+  "boat": "船",
+  "traffic_light": "紅綠燈",
+  "fire_hydrant": "消防栓",
+  "street_sign": "道路標示",
+  "stop_sign": "停止標示",
+  "parking_meter": "停車柱",
+  "bench": "長椅",
+  "motorcycle": "摩托車",
+  "airplane": "飛機",
+  "bus": "巴士",
+  "train": "火車",
+  "bird": "鳥",
+  "cat": "貓",
+  "dog": "狗",
+  "horse": "馬",
+  "sheep": "羊",
+  "cow": "牛",
+  "elephant": "大象",
+  "bear": "熊",
+  "zebra": "斑馬",
+  "giraffe": "長頸鹿",
+  "hat": "帽子",
+  "backpack": "背包",
+  "umbrella": "雨傘",
+  "shoe": "鞋子",
+  "eye_glasses": "眼睛",
+  "handbag": "手提包",
+  "tie": "領帶",
+  "suitcase": "行李箱",
+  "frisbee": "飛盤",
+  "skis": "滑雪板",
+  "snowboard": "單板滑雪板",
+  "sports_ball": "運動球",
+  "kite": "風箏",
+  "baseball_bat": "棒球棍",
+  "baseball_glove": "棒球手套",
+  "skateboard": "滑板",
+  "surfboard": "衝浪板",
+  "tennis_racket": "網球拍",
+  "bottle": "瓶子",
+  "plate": "盤子",
+  "wine_glass": "酒杯",
+  "cup": "杯子",
+  "fork": "叉子",
+  "knife": "刀子",
+  "spoon": "湯匙",
+  "bowl": "碗",
+  "banana": "香蕉",
+  "apple": "蘋果",
+  "sandwich": "三明治",
+  "orange": "橘子",
+  "broccoli": "花椰菜",
+  "carrot": "紅蘿蔔",
+  "hot_dog": "熱狗",
+  "pizza": "披薩",
+  "donut": "甜甜圈",
+  "cake": "蛋糕",
+  "chair": "椅子",
+  "couch": "沙發",
+  "potted_plant": "盆栽植物",
+  "bed": "床",
+  "mirror": "鏡子",
+  "dining_table": "餐桌",
+  "window": "窗戶",
+  "desk": "桌子",
+  "toilet": "廁所",
+  "door": "門",
+  "tv": "電視",
+  "laptop": "筆電",
+  "mouse": "滑鼠",
+  "remote": "遠端",
+  "keyboard": "鍵盤",
+  "cell_phone": "手機",
+  "microwave": "微波爐",
+  "oven": "烤箱",
+  "toaster": "烤麵包機",
+  "sink": "水槽",
+  "refrigerator": "冰箱",
+  "blender": "果汁機",
+  "book": "書",
+  "clock": "時鐘",
+  "vase": "花瓶",
+  "scissors": "剪刀",
+  "teddy_bear": "泰迪熊",
+  "hair_dryer": "吹風機",
+  "toothbrush": "牙刷",
+  "hair_brush": "梳子",
+  "vehicle": "車輛",
+  "squirrel": "松鼠",
+  "deer": "鹿",
+  "animal": "動物",
+  "bark": "樹皮",
+  "fox": "狐狸",
+  "goat": "山羊",
+  "rabbit": "兔子",
+  "raccoon": "浣熊",
+  "robot_lawnmower": "自動割草機",
+  "waste_bin": "垃圾桶",
+  "on_demand": "隨選服務",
+  "face": "臉部",
+  "license_plate": "車牌",
+  "package": "包裹",
+  "bbq_grill": "烤肉架",
+  "amazon": "亞馬遜（Amazon)",
+  "usps": "美國郵政（USPS）",
+  "ups": "UPS",
+  "fedex": "聯邦快遞（FedEx）",
+  "dhl": "DHL",
+  "an_post": "愛爾蘭郵政（An Post）",
+  "purolator": "加拿大普洛特快遞",
+  "postnl": "荷蘭郵政（PostNL）",
+  "nzpost": "紐西蘭郵政（NZ Post）",
+  "postnord": "北歐郵政（PostNord）",
+  "gls": "GLS 快遞",
+  "dpd": "DPD 快遞"
+}
diff --git a/web/public/locales/zh-Hant/views/configEditor.json b/web/public/locales/zh-Hant/views/configEditor.json
new file mode 100644
index 000000000..3788bace0
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/configEditor.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "設定編輯器 - Frigate",
+  "configEditor": "設定編輯器",
+  "copyConfig": "複製設定",
+  "saveAndRestart": "保存並重新啟動",
+  "toast": {
+    "error": {
+      "savingError": "保存設定時出錯"
+    },
+    "success": {
+      "copyToClipboard": "已複製設定製剪貼簿。"
+    }
+  },
+  "saveOnly": "僅保存",
+  "confirm": "是否不保存就離開？"
+}
diff --git a/web/public/locales/zh-Hant/views/events.json b/web/public/locales/zh-Hant/views/events.json
new file mode 100644
index 000000000..8f840aab1
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/events.json
@@ -0,0 +1,38 @@
+{
+  "alerts": "警報",
+  "detections": "偵測",
+  "motion": {
+    "label": "移動",
+    "only": "只顯示移動"
+  },
+  "empty": {
+    "motion": "未找到移動資料",
+    "alert": "沒有警告需要審核",
+    "detection": "沒有偵測到的內容需要審核"
+  },
+  "timeline": "時間線",
+  "timeline.aria": "選擇時間線",
+  "events": {
+    "label": "事件",
+    "aria": "選擇事件",
+    "noFoundForTimePeriod": "此時間段內沒有找到事件。"
+  },
+  "documentTitle": "審核 - Frigate",
+  "allCameras": "所有鏡頭",
+  "recordings": {
+    "documentTitle": "錄影 - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "過去 24 小時"
+  },
+  "markAsReviewed": "標示為已審核",
+  "markTheseItemsAsReviewed": "將這些內容標記為已審核",
+  "newReviewItems": {
+    "label": "查看新的審核項目",
+    "button": "有新的審核項目"
+  },
+  "selected_one": "已選擇 {{count}} 個",
+  "selected_other": "已選擇 {{count}} 個",
+  "camera": "鏡頭",
+  "detected": "已偵測"
+}
diff --git a/web/public/locales/zh-Hant/views/explore.json b/web/public/locales/zh-Hant/views/explore.json
new file mode 100644
index 000000000..6997b08dd
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/explore.json
@@ -0,0 +1,205 @@
+{
+  "documentTitle": "瀏覽 - Frigate",
+  "generativeAI": "生成式 AI",
+  "exploreMore": "瀏覽更多 {{label}} 物件",
+  "exploreIsUnavailable": {
+    "title": "無法使用瀏覽功能",
+    "embeddingsReindexing": {
+      "finishingShortly": "即將完成",
+      "step": {
+        "thumbnailsEmbedded": "已嵌入縮圖： ",
+        "descriptionsEmbedded": "已嵌入說明： ",
+        "trackedObjectsProcessed": "已處理的追蹤物件： "
+      },
+      "context": "在重新建立完追蹤物件的嵌入索引後可以使用瀏覽功能。",
+      "startingUp": "啟動中…",
+      "estimatedTime": "預計剩餘時間："
+    },
+    "downloadingModels": {
+      "context": "Frigate 正在下載所需的嵌入式模型以支援語意搜尋功能。根據你的網路連接速度，這可能會需要幾分鐘。",
+      "setup": {
+        "visionModel": "視覺模型",
+        "visionModelFeatureExtractor": "視覺模型特徵提取器",
+        "textModel": "文字模型",
+        "textTokenizer": "文字分詞器"
+      },
+      "tips": {
+        "context": "在模型下載完成後，你可能會需要重新建立追蹤物件的特徵索引。",
+        "documentation": "閱讀文件"
+      },
+      "error": "發生錯誤。請檢查 Frigate 日誌。"
+    }
+  },
+  "details": {
+    "timestamp": "時間戳",
+    "item": {
+      "title": "審核項目詳情",
+      "desc": "審核項目詳情",
+      "button": {
+        "share": "分享此審核項目",
+        "viewInExplore": "在瀏覽中查看"
+      },
+      "tips": {
+        "mismatch_other": "在此審核項目中偵測到 {{count}} 個不可用物件。這些物件可能不符合警示或偵測標準，或者已被清除/刪除。",
+        "hasMissingObjects": "如果你想要 Frigate 儲存以下標籤的追蹤物件：<em>{{objects}}</em>，請調整設定"
+      },
+      "toast": {
+        "success": {
+          "regenerate": "已從 {{provider}} 請求新的說明。根據提供者的速度，生成新的說明可能會需要一段時間。",
+          "updatedSublabel": "成功更新子標籤。",
+          "updatedLPR": "成功更新車牌。"
+        },
+        "error": {
+          "regenerate": "請求 {{provider}} 生成新的說明失敗：{{errorMessage}}",
+          "updatedSublabelFailed": "更新子標籤失敗：{{errorMessage}}",
+          "updatedLPRFailed": "更新車牌失敗：{{errorMessage}}"
+        }
+      }
+    },
+    "label": "標籤",
+    "editSubLabel": {
+      "title": "編輯子標籤",
+      "desc": "輸入 {{label}} 的新子標籤",
+      "descNoLabel": "輸入此追蹤物件的新子標籤"
+    },
+    "editLPR": {
+      "title": "編輯車牌",
+      "desc": "輸入此 {{label}} 的新車牌號碼",
+      "descNoLabel": "輸入此追蹤物件的新車牌號碼"
+    },
+    "snapshotScore": {
+      "label": "截圖分數"
+    },
+    "topScore": {
+      "label": "最高分數",
+      "info": "最高分數是追蹤物件的最高中位數，因此可能會與搜尋結果的截圖顯示的分數有所不同。"
+    },
+    "recognizedLicensePlate": "已辨識車牌",
+    "estimatedSpeed": "估計速度",
+    "objects": "物件",
+    "camera": "鏡頭",
+    "zones": "區域",
+    "button": {
+      "findSimilar": "尋找相似項目",
+      "regenerate": {
+        "title": "重新生成",
+        "label": "重新生成追蹤物件的說明"
+      }
+    },
+    "description": {
+      "label": "說明",
+      "placeholder": "追蹤物件的說明",
+      "aiTips": "在追蹤物件的生命週期結束前，Frigate 不會向你設定的生成式 AI 提供者請求說明。"
+    },
+    "expandRegenerationMenu": "展開重新生成選單",
+    "regenerateFromSnapshot": "從截圖重新生成",
+    "regenerateFromThumbnails": "從縮圖重新生成",
+    "tips": {
+      "descriptionSaved": "成功保存說明",
+      "saveDescriptionFailed": "更新說明失敗：{{errorMessage}}"
+    }
+  },
+  "trackedObjectDetails": "追蹤物件詳情",
+  "type": {
+    "details": "詳情",
+    "snapshot": "截圖",
+    "video": "影片",
+    "object_lifecycle": "物件生命週期"
+  },
+  "objectLifecycle": {
+    "title": "物件生命週期",
+    "noImageFound": "此時間點找不到圖片。",
+    "createObjectMask": "建立物件遮罩",
+    "adjustAnnotationSettings": "調整標注設定",
+    "scrollViewTips": "滾動以查看此物件生命週期中的重要時刻。",
+    "autoTrackingTips": "自動追蹤鏡頭的定界框位置可能不準確。",
+    "count": "第 {{first}} 個，共 {{second}} 個",
+    "trackedPoint": "追蹤點",
+    "lifecycleItemDesc": {
+      "visible": "偵測到 {{label}}",
+      "entered_zone": "{{label}} 進入了 {{zones}}",
+      "active": "{{label}} 開始活動",
+      "stationary": "{{label}} 停止活動",
+      "attribute": {
+        "faceOrLicense_plate": "偵測到 {{label}} 的 {{attribute}}",
+        "other": "{{label}} 被辨識為 {{attribute}}"
+      },
+      "gone": "{{label}} 離開了",
+      "heard": "聽到 {{label}}",
+      "external": "偵測到 {{label}}",
+      "header": {
+        "zones": "區域",
+        "ratio": "比例",
+        "area": "範圍"
+      }
+    },
+    "annotationSettings": {
+      "title": "標注設定",
+      "showAllZones": {
+        "title": "顯示所有區域",
+        "desc": "總是在畫面上顯示有物件進入的區域。"
+      },
+      "offset": {
+        "label": "標注偏移量",
+        "desc": "此資料是來自鏡頭的偵測串流，但被覆蓋在錄影串流上。通常兩個串流沒辦法完美的同步，因此，影片片段中的定界框可能無法完全對齊。不過，這可以透過 <code>annotation_offset</code> 進行調整。",
+        "documentation": "閱讀文件 ",
+        "millisecondsToOffset": "偵測註解偏移的毫秒數。<em>預設：0</em>",
+        "tips": "提示：試想在一個片段中有個人從畫面左邊走到右邊。如果事件時間線上的定界框一直出現在人物的左邊，則應該減少數值。在同樣的畫面中，如果定界框持續出現在人的前方，則應該增加數值。",
+        "toast": {
+          "success": "{{camera}} 的標注偏移量已保存到設定檔。重新啟動 Frigate 以套用更改。"
+        }
+      }
+    },
+    "carousel": {
+      "previous": "上一張",
+      "next": "下一張"
+    }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "下載影片",
+      "aria": "下載影片"
+    },
+    "downloadSnapshot": {
+      "label": "下載截圖",
+      "aria": "下載截圖"
+    },
+    "viewObjectLifecycle": {
+      "label": "查看物件生命週期",
+      "aria": "顯示物件生命週期"
+    },
+    "findSimilar": {
+      "label": "尋找相似項目",
+      "aria": "尋找相似的追蹤物件"
+    },
+    "submitToPlus": {
+      "label": "提交到 Frigate+",
+      "aria": "提交到 Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "於歷史記錄中查看",
+      "aria": "於歷史記錄中查看"
+    },
+    "deleteTrackedObject": {
+      "label": "刪除此追蹤物件"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "確認刪除",
+      "desc": "刪除此追蹤物件將移除截圖、所有已保存的嵌入，以及所有相關的物件生命週期紀錄。歷史記錄中的錄影<em>不會</em>被刪除。<br /><br />你確定要刪除嗎？"
+    }
+  },
+  "noTrackedObjects": "找不到追蹤物件",
+  "fetchingTrackedObjectsFailed": "取得追蹤物件時錯誤：{{errorMessage}}",
+  "trackedObjectsCount_other": "{{count}} 個追蹤物件 ",
+  "searchResult": {
+    "tooltip": "與 {{type}} 相似的程度為 {{confidence}}%",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "成功刪除蹤物件。",
+        "error": "刪除追蹤物件失敗：{{errorMessage}}"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/exports.json b/web/public/locales/zh-Hant/views/exports.json
new file mode 100644
index 000000000..159e66e17
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/exports.json
@@ -0,0 +1,17 @@
+{
+  "search": "搜尋",
+  "documentTitle": "匯出 - Frigate",
+  "noExports": "找不到匯出內容",
+  "deleteExport": "刪除匯出內容",
+  "editExport": {
+    "saveExport": "儲存匯出內容",
+    "title": "重新命名匯出內容",
+    "desc": "請輸入此匯出內容的新名稱。"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "重新命名匯出內容失敗：{{errorMessage}}"
+    }
+  },
+  "deleteExport.desc": "你確定要刪除 {{exportName}} 嗎？"
+}
diff --git a/web/public/locales/zh-Hant/views/faceLibrary.json b/web/public/locales/zh-Hant/views/faceLibrary.json
new file mode 100644
index 000000000..52675a51b
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/faceLibrary.json
@@ -0,0 +1,96 @@
+{
+  "description": {
+    "addFace": "了解如何新增圖片集合至人臉資料庫。",
+    "placeholder": "輸入此集合的名稱",
+    "invalidName": "無效的名稱。名稱只能包涵英數字、空格、撇（'）、底線（_）及連字號（-）。"
+  },
+  "details": {
+    "person": "人",
+    "timestamp": "時間戳",
+    "unknown": "未知",
+    "subLabelScore": "子標籤分數",
+    "scoreInfo": "子標籤分數是所有已辨識的人臉信心值的加權平均，因此可能與截圖上顯示的分數不同。",
+    "face": "人臉詳細資料",
+    "faceDesc": "組成此人臉的追蹤物件的詳細資料"
+  },
+  "documentTitle": "人臉資料庫 - Frigate",
+  "uploadFaceImage": {
+    "title": "上傳人臉圖片",
+    "desc": "上傳圖片以掃描人臉並將其加入 {{pageToggle}}"
+  },
+  "collections": "集合",
+  "selectItem": "選擇 {{item}}",
+  "createFaceLibrary": {
+    "title": "建立集合",
+    "desc": "建立新集合",
+    "new": "建立新人臉",
+    "nextSteps": "為了建立可靠的模型基底：<li>在訓練分頁中選擇並針對每個偵測到人的圖片進行訓練。</li><li>請優先使用正臉照以獲得最佳效果，請盡量避免使用從側面或有傾斜角度的人臉</li></ul>"
+  },
+  "steps": {
+    "faceName": "輸入人臉名稱",
+    "uploadFace": "上傳人臉圖片",
+    "nextSteps": "下一步",
+    "description": {
+      "uploadFace": "上傳一張 {{name}} 的正臉圖片。圖片不需要裁剪到只剩下臉部。"
+    }
+  },
+  "train": {
+    "title": "訓練",
+    "aria": "選擇訓練",
+    "empty": "最近沒有辨識人臉的操作"
+  },
+  "selectFace": "選擇人臉",
+  "deleteFaceLibrary": {
+    "title": "刪除名稱",
+    "desc": "你確定要刪除 {{name}} 集合嗎？這會刪除所有有關的人臉資料。"
+  },
+  "deleteFaceAttempts": {
+    "title": "刪除人臉",
+    "desc_other": "你確定要刪除 {{count}} 個人臉嗎？這個步驟無法復原。"
+  },
+  "renameFace": {
+    "title": "重新命名人臉",
+    "desc": "輸入 {{name}} 的新名稱"
+  },
+  "button": {
+    "deleteFaceAttempts": "刪除人臉",
+    "addFace": "新增人臉",
+    "renameFace": "重新命名人臉",
+    "uploadImage": "上傳圖片",
+    "reprocessFace": "重新處理人臉",
+    "deleteFace": "刪除人臉"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "請選擇一個圖片檔。"
+    },
+    "dropActive": "將圖片拖到這裡…",
+    "dropInstructions": "將圖片拖放至此處，或點擊以選取",
+    "maxSize": "最大檔案大小：{{size}}MB"
+  },
+  "nofaces": "沒有可用的人臉",
+  "pixels": "{{area}}px",
+  "readTheDocs": "閱讀文件",
+  "trainFaceAs": "將人臉訓練為：",
+  "trainFace": "訓練人臉",
+  "toast": {
+    "success": {
+      "uploadedImage": "成功上傳圖片。",
+      "addFaceLibrary": "已成功將 {{name}} 加入至人臉資料庫！",
+      "deletedFace_other": "成功刪除 {{count}} 個人臉。",
+      "deletedName_other": "{{count}} 個人臉已成功刪除。",
+      "renamedFace": "成功將人臉重新命名為 {{name}}",
+      "trainedFace": "成功訓練人臉。",
+      "updatedFaceScore": "成功更新人臉分數。"
+    },
+    "error": {
+      "uploadingImageFailed": "上傳圖片失敗：{{errorMessage}}",
+      "addFaceLibraryFailed": "設定人臉名稱失敗：{{errorMessage}}",
+      "deleteFaceFailed": "刪除失敗：{{errorMessage}}",
+      "deleteNameFailed": "刪除名稱失敗：{{errorMessage}}",
+      "renameFaceFailed": "重新命名人臉失敗：{{errorMessage}}",
+      "trainFailed": "訓練失敗：{{errorMessage}}",
+      "updateFaceScoreFailed": "更新人臉分數失敗：{{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/live.json b/web/public/locales/zh-Hant/views/live.json
new file mode 100644
index 000000000..55947b9f2
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/live.json
@@ -0,0 +1,158 @@
+{
+  "documentTitle": "即時畫面 - Frigate",
+  "documentTitle.withCamera": "{{camera}} - 即時畫面 - Frigate",
+  "lowBandwidthMode": "低流量模式",
+  "twoWayTalk": {
+    "enable": "啟用雙向通話",
+    "disable": "停用雙向通話"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "點擊畫面以置中鏡頭",
+        "enable": "啟用點擊移動",
+        "disable": "停用點擊移動"
+      },
+      "left": {
+        "label": "向左移動 PTZ 鏡頭"
+      },
+      "up": {
+        "label": "向上移動 PTZ 鏡頭"
+      },
+      "down": {
+        "label": "向下移動 PTZ 鏡頭"
+      },
+      "right": {
+        "label": "向右移動 PTZ 鏡頭"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "放大 PTZ 鏡頭"
+      },
+      "out": {
+        "label": "縮小 PTZ 鏡頭"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "點擊畫面以置中 PTZ 鏡頭"
+      }
+    },
+    "presets": "PTZ 鏡頭預設"
+  },
+  "cameraAudio": {
+    "enable": "啟用鏡頭音訊",
+    "disable": "停用鏡頭音訊"
+  },
+  "camera": {
+    "enable": "啟用鏡頭",
+    "disable": "停用鏡頭"
+  },
+  "muteCameras": {
+    "enable": "所有鏡頭靜音",
+    "disable": "所有鏡頭取消靜音"
+  },
+  "detect": {
+    "enable": "啟用偵測",
+    "disable": "停用偵測"
+  },
+  "recording": {
+    "enable": "啟用錄影",
+    "disable": "停用錄影"
+  },
+  "snapshots": {
+    "enable": "啟用截圖",
+    "disable": "停用截圖"
+  },
+  "audioDetect": {
+    "enable": "啟用音訊偵測",
+    "disable": "停用音訊偵測"
+  },
+  "autotracking": {
+    "enable": "啟用自動追蹤",
+    "disable": "停用自動追蹤"
+  },
+  "streamStats": {
+    "enable": "顯示串流統計資料",
+    "disable": "隱藏串流統計資料"
+  },
+  "manualRecording": {
+    "title": "應需錄影",
+    "tips": "根據此鏡頭的錄影保留設定手動啟動事件。",
+    "playInBackground": {
+      "label": "背景播放",
+      "desc": "啟用此選項以在播放器被隱藏時繼續播放串流。"
+    },
+    "showStats": {
+      "label": "顯示統計資料",
+      "desc": "啟用此選項以在鏡頭畫面上顯示串流的統計資料。"
+    },
+    "debugView": "除錯畫面",
+    "start": "開始應需錄影",
+    "started": "開始手動應需錄影。",
+    "failedToStart": "手動開始應需錄影失敗。",
+    "recordDisabledTips": "因為此鏡頭的錄影功能被停用或限制，因此僅會保存截圖。",
+    "end": "結束應需錄影",
+    "ended": "已結束手動應需錄影。",
+    "failedToEnd": "結束手動應需錄影失敗。"
+  },
+  "streamingSettings": "串流設定",
+  "notifications": "通知",
+  "audio": "音訊",
+  "suspend": {
+    "forTime": "暫停： "
+  },
+  "stream": {
+    "title": "串流",
+    "audio": {
+      "tips": {
+        "title": "此串流的音訊必須要從鏡頭輸出並且在 go2rtc 中被設定。",
+        "documentation": "閱讀文件 "
+      },
+      "available": "此串流支援音訊",
+      "unavailable": "此串流不支援音訊"
+    },
+    "twoWayTalk": {
+      "tips": "你的裝置被需支援此功能，並且需設定 WebRTC 以使用雙向通話。",
+      "tips.documentation": "閱讀文件 ",
+      "available": "此串流支援雙向通話",
+      "unavailable": "此串流不支援雙向通話"
+    },
+    "lowBandwidth": {
+      "tips": "因為緩衝區或串流錯誤，即時畫面已切換至低流量模式。",
+      "resetStream": "重設串流"
+    },
+    "playInBackground": {
+      "label": "背景播放",
+      "tips": "啟用此選項以在播放器被隱藏時繼續播放串流。"
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} 設定",
+    "cameraEnabled": "鏡頭已啟用",
+    "objectDetection": "物件偵測",
+    "recording": "錄影",
+    "snapshots": "截圖",
+    "audioDetection": "音訊偵測",
+    "autotracking": "自動追蹤"
+  },
+  "history": {
+    "label": "顯示歷史影像"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "全部",
+      "motion": "移動",
+      "active_objects": "活躍物件"
+    },
+    "notAllTips": "你的 {{source}} 錄影保留設定為 <code> {{effectiveRetainMode}} 模式</code>，因此此應需錄影僅會保留 {{effectiveRetainModeName}} 片段。"
+  },
+  "editLayout": {
+    "label": "編輯版面配置",
+    "group": {
+      "label": "編輯鏡頭群組"
+    },
+    "exitEdit": "結束編輯"
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/recording.json b/web/public/locales/zh-Hant/views/recording.json
new file mode 100644
index 000000000..1b10c058e
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "filter": "過濾",
+  "export": "匯出",
+  "calendar": "日曆",
+  "filters": "過濾條件",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "未選擇有效的時間範圍",
+      "endTimeMustAfterStartTime": "結束時間需晚於開始時間"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/search.json b/web/public/locales/zh-Hant/views/search.json
new file mode 100644
index 000000000..0b56209c2
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/search.json
@@ -0,0 +1,72 @@
+{
+  "search": "搜尋",
+  "savedSearches": "已儲存的搜尋",
+  "searchFor": "搜尋 {{inputValue}}",
+  "button": {
+    "clear": "清空搜尋",
+    "filterActive": "過濾中",
+    "save": "保存搜尋",
+    "delete": "刪除保存的搜尋",
+    "filterInformation": "過濾資訊"
+  },
+  "trackedObjectId": "追蹤物件編號",
+  "filter": {
+    "label": {
+      "cameras": "鏡頭",
+      "labels": "標籤",
+      "zones": "區域",
+      "sub_labels": "子標籤",
+      "search_type": "搜尋類型",
+      "before": "結束時間",
+      "after": "開始時間",
+      "min_score": "最低分數",
+      "max_score": "最高分數",
+      "min_speed": "最低速度",
+      "max_speed": "最高速度",
+      "recognized_license_plate": "已辨識的車牌",
+      "has_clip": "包含片段",
+      "has_snapshot": "包含截圖",
+      "time_range": "時間範圍"
+    },
+    "searchType": {
+      "thumbnail": "截圖",
+      "description": "說明"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "「結束」日期必須要在「開始」日期之後。",
+        "afterDatebeEarlierBefore": "「開始」日期需要在「結束」日期之前。",
+        "minScoreMustBeLessOrEqualMaxScore": "「最低分數」必須小於或等於「最高分數」。",
+        "maxScoreMustBeGreaterOrEqualMinScore": "「最高分數」必須要大於或等於「最低分數」。",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "「最低速度」必須要小於或等於「最高速度」。",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "「最高速度」必須要大於或等於「最低速度」。"
+      }
+    },
+    "tips": {
+      "title": "如何使用文字過濾",
+      "desc": {
+        "text": "過濾功能可以幫助你縮小搜尋範圍。以下是使用方法：",
+        "step1": "輸入過濾標的名稱後加上冒號（例如：\"cameras:\"）。",
+        "step2": "從建議中選擇一個值，或者自行輸入。",
+        "step3": "若有多個過濾條件可以使用空格隔開。",
+        "step4": "過濾日期（before: 以及 after:）需使用 {{DateFormat}} 格式。",
+        "step5": "過濾時間範圍時需使用 {{exampleTime}} 格式。",
+        "step6": "點擊旁邊的「x」可以移除對應的過濾條件。",
+        "exampleLabel": "範例："
+      }
+    },
+    "header": {
+      "currentFilterType": "過濾內容",
+      "noFilters": "過濾條件",
+      "activeFilters": "已套用的過濾條件"
+    }
+  },
+  "similaritySearch": {
+    "title": "相似搜尋",
+    "active": "已啟用相似搜尋",
+    "clear": "清空相似搜尋"
+  },
+  "placeholder": {
+    "search": "搜尋…"
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/settings.json b/web/public/locales/zh-Hant/views/settings.json
new file mode 100644
index 000000000..d252250e9
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/settings.json
@@ -0,0 +1,45 @@
+{
+  "documentTitle": {
+    "default": "設定 - Frigate",
+    "authentication": "認證設定 - Frigate",
+    "camera": "鏡頭設定 - Frigate",
+    "enrichments": "進階設定 - Frigate",
+    "general": "一般設定 - Frigate",
+    "frigatePlus": "Frigate+ 設定 - Frigate",
+    "notifications": "通知設定 - Frigate",
+    "masksAndZones": "遮罩與區域編輯器 - Frigate",
+    "motionTuner": "移動偵測調教器 - Frigate",
+    "object": "除錯 - Frigate"
+  },
+  "menu": {
+    "ui": "使用者介面",
+    "enrichments": "進階功能",
+    "cameras": "鏡頭設定",
+    "masksAndZones": "遮罩 / 區域",
+    "motionTuner": "移動偵測調教器",
+    "debug": "除錯",
+    "users": "使用者",
+    "notifications": "通知",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "你有未保存的變更。",
+      "desc": "再繼續之前，你想先儲存你的變更嗎？"
+    }
+  },
+  "cameraSetting": {
+    "camera": "鏡頭",
+    "noCamera": "沒有鏡頭"
+  },
+  "general": {
+    "title": "一般設定",
+    "liveDashboard": {
+      "title": "即時監控面板",
+      "automaticLiveView": {
+        "label": "自動即時檢視",
+        "desc": "在偵測到移動時自動切換至即時影像。停用此設定將使得在即時監控面板上的靜態畫面每分鐘更新一次。"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/system.json b/web/public/locales/zh-Hant/views/system.json
new file mode 100644
index 000000000..b3d761047
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/system.json
@@ -0,0 +1,180 @@
+{
+  "documentTitle": {
+    "cameras": "鏡頭統計 - Frigate",
+    "storage": "儲存裝置統計 - Frigate",
+    "general": "統計總覽 - Frigate",
+    "enrichments": "進階統計 - Frigate",
+    "logs": {
+      "frigate": "Frigate 日誌 - Frigate",
+      "go2rtc": "Go2RTC 日誌 - Frigate",
+      "nginx": "Nginx 日誌 - Frigate"
+    }
+  },
+  "title": "系統",
+  "metrics": "系統指標",
+  "logs": {
+    "download": {
+      "label": "下載日誌"
+    },
+    "copy": {
+      "label": "複製到剪貼簿",
+      "success": "已將日誌複製到剪貼簿",
+      "error": "無法將日誌複製到剪貼簿"
+    },
+    "type": {
+      "label": "類型",
+      "timestamp": "時間戳",
+      "tag": "標籤",
+      "message": "訊息"
+    },
+    "tips": "正在從伺服器串流日誌",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "擷取日誌時出錯：{{errorMessage}}",
+        "whileStreamingLogs": "串流日誌時出錯：{{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "一般",
+    "detector": {
+      "title": "偵測器",
+      "inferenceSpeed": "偵測器推理速度",
+      "temperature": "偵測器溫度",
+      "cpuUsage": "偵測器 CPU 使用率",
+      "memoryUsage": "偵測器記憶體使用量"
+    },
+    "hardwareInfo": {
+      "title": "硬體資訊",
+      "gpuUsage": "GPU 使用率",
+      "gpuMemory": "GPU 記憶體",
+      "gpuEncoder": "GPU 編碼器",
+      "gpuDecoder": "GPU 解碼器",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo 輸出",
+          "returnCode": "返回代碼：{{code}}",
+          "processOutput": "行程輸出：",
+          "processError": "行程錯誤："
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI 輸出",
+          "name": "名稱：{{name}}",
+          "driver": "驅動程式：{{driver}}",
+          "cudaComputerCapability": "CUDA 計算能力：{{cuda_compute}}",
+          "vbios": "VBios 資訊：{{vbios}}"
+        },
+        "closeInfo": {
+          "label": "關閉 GPU 資訊"
+        },
+        "copyInfo": {
+          "label": "複製 GPU 訊息"
+        },
+        "toast": {
+          "success": "已複製 GPU 訊息至剪貼簿"
+        }
+      },
+      "npuUsage": "NPU 使用率",
+      "npuMemory": "NPU 記憶體"
+    },
+    "otherProcesses": {
+      "title": "其他行程",
+      "processCpuUsage": "行程 CPU 使用率",
+      "processMemoryUsage": "行程記憶體使用量"
+    }
+  },
+  "storage": {
+    "title": "儲存裝置",
+    "overview": "總覽",
+    "recordings": {
+      "title": "錄影檔案",
+      "tips": "此數值僅代表 Frigate 資料庫中錄影資料的儲存空間用量。Frigate 不會追蹤硬碟上所有檔案的使用量。",
+      "earliestRecording": "最早的錄影檔案："
+    },
+    "cameraStorage": {
+      "title": "鏡頭儲存",
+      "camera": "鏡頭",
+      "unusedStorageInformation": "未使用的儲存空間資訊",
+      "storageUsed": "已使用的儲存空間",
+      "percentageOfTotalUsed": "佔總量百分比",
+      "bandwidth": "頻寬",
+      "unused": {
+        "title": "未使用",
+        "tips": "在磁碟中有除了 Frigate 錄影內容以外的檔案時，此數值可能無法正確反應可用的空間。Frigate 不會追蹤錄影資料以外的檔案的儲存空間用量。"
+      }
+    }
+  },
+  "cameras": {
+    "title": "鏡頭",
+    "overview": "總覽",
+    "info": {
+      "aspectRatio": "長寬比",
+      "cameraProbeInfo": "{{camera}} 的詳細資訊",
+      "streamDataFromFFPROBE": "串流資料是透過 <code>ffprobe</code>取得。",
+      "fetching": "正在讀取鏡頭資訊",
+      "stream": "串流 {{idx}}",
+      "video": "影片：",
+      "codec": "編解碼器：",
+      "resolution": "解析度：",
+      "fps": "幀率：",
+      "unknown": "未知",
+      "audio": "音訊：",
+      "error": "錯誤：{{error}}",
+      "tips": {
+        "title": "鏡頭詳細資訊"
+      }
+    },
+    "framesAndDetections": "幀數 / 偵測數",
+    "label": {
+      "camera": "鏡頭",
+      "detect": "偵測",
+      "skipped": "跳過",
+      "ffmpeg": "FFmpeg",
+      "capture": "抓取",
+      "overallFramesPerSecond": "總體幀率",
+      "overallDetectionsPerSecond": "總體每秒偵測幀數",
+      "overallSkippedDetectionsPerSecond": "總體每秒跳過偵測幀率",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} 抓取",
+      "cameraDetect": "{{camName}} 偵測",
+      "cameraFramesPerSecond": "{{camName}} 幀率",
+      "cameraDetectionsPerSecond": "{{camName}} 每秒偵測幀率",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} 每秒跳過偵測幀率"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "已複製檢測資料至剪貼簿。"
+      },
+      "error": {
+        "unableToProbeCamera": "無法檢測鏡頭：{{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "最後更新： ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} 的 FFmpeg CPU 使用率較高 ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} 的偵測 CPU 使用率較高 ({{detectAvg}}%)",
+    "healthy": "系統運作正常",
+    "reindexingEmbeddings": "正在重新替嵌入資料建立索引（已完成 {{processed}}%）",
+    "cameraIsOffline": "{{camera}} 已離線",
+    "detectIsSlow": "{{detect}} 偵測速度較慢（{{speed}} 毫秒）",
+    "detectIsVerySlow": "{{detect}} 偵測速度緩慢（{{speed}} 毫秒）"
+  },
+  "enrichments": {
+    "title": "進階功能",
+    "infPerSecond": "每秒推理次數",
+    "embeddings": {
+      "image_embedding": "圖片特徵提取",
+      "text_embedding": "文字提取",
+      "face_recognition": "人臉辨識",
+      "plate_recognition": "車牌辨識",
+      "image_embedding_speed": "圖片特徵提取速度",
+      "face_embedding_speed": "人臉特徵提取速度",
+      "face_recognition_speed": "人臉辨識速度",
+      "plate_recognition_speed": "車牌辨識速度",
+      "text_embedding_speed": "文字提取速度",
+      "yolov9_plate_detection_speed": "YOLOv9 車牌偵測速度",
+      "yolov9_plate_detection": "YOLOv9 車牌辨識"
+    }
+  }
+}
diff --git a/web/site.webmanifest b/web/site.webmanifest
index 94e455ec8..7040ce5c9 100644
--- a/web/site.webmanifest
+++ b/web/site.webmanifest
@@ -1,28 +1,28 @@
 {
   "name": "Frigate",
   "short_name": "Frigate",
-  "start_url": "/",
+  "start_url": "/BASE_PATH/",
   "icons": [
     {
-      "src": "/images/android-chrome-512x512.png",
+      "src": "/BASE_PATH/images/android-chrome-512x512.png",
       "sizes": "512x512",
       "type": "image/png",
       "purpose": "any"
     },
     {
-      "src": "/images/android-chrome-192x192.png",
+      "src": "/BASE_PATH/images/android-chrome-192x192.png",
       "sizes": "192x192",
       "type": "image/png",
       "purpose": "any"
     },
     {
-      "src": "/images/maskable-icon.png",
+      "src": "/BASE_PATH/images/maskable-icon.png",
       "sizes": "180x180",
       "type": "image/png",
       "purpose": "maskable"
     },
     {
-      "src": "/images/maskable-badge.png",
+      "src": "/BASE_PATH/images/maskable-badge.png",
       "sizes": "96x96",
       "type": "image/png",
       "purpose": "maskable"
diff --git a/web/src/App.tsx b/web/src/App.tsx
index 3bc2e7836..a0062549f 100644
--- a/web/src/App.tsx
+++ b/web/src/App.tsx
@@ -10,6 +10,8 @@ import { Suspense, lazy } from "react";
 import { Redirect } from "./components/navigation/Redirect";
 import { cn } from "./lib/utils";
 import { isPWA } from "./utils/isPWA";
+import ProtectedRoute from "@/components/auth/ProtectedRoute";
+import { AuthProvider } from "@/context/auth-context";
 
 const Live = lazy(() => import("@/pages/Live"));
 const Events = lazy(() => import("@/pages/Events"));
@@ -19,45 +21,60 @@ const ConfigEditor = lazy(() => import("@/pages/ConfigEditor"));
 const System = lazy(() => import("@/pages/System"));
 const Settings = lazy(() => import("@/pages/Settings"));
 const UIPlayground = lazy(() => import("@/pages/UIPlayground"));
+const FaceLibrary = lazy(() => import("@/pages/FaceLibrary"));
 const Logs = lazy(() => import("@/pages/Logs"));
+const AccessDenied = lazy(() => import("@/pages/AccessDenied"));
 
 function App() {
   return (
     <Providers>
-      <BrowserRouter basename={window.baseUrl}>
-        <Wrapper>
-          <div className="size-full overflow-hidden">
-            {isDesktop && <Sidebar />}
-            {isDesktop && <Statusbar />}
-            {isMobile && <Bottombar />}
-            <div
-              id="pageRoot"
-              className={cn(
-                "absolute right-0 top-0 overflow-hidden",
-                isMobile
-                  ? `bottom-${isPWA ? 16 : 12} left-0 md:bottom-16 landscape:bottom-14 landscape:md:bottom-16`
-                  : "bottom-8 left-[52px]",
-              )}
-            >
-              <Suspense>
-                <Routes>
-                  <Route index element={<Live />} />
-                  <Route path="/events" element={<Redirect to="/review" />} />
-                  <Route path="/review" element={<Events />} />
-                  <Route path="/explore" element={<Explore />} />
-                  <Route path="/export" element={<Exports />} />
-                  <Route path="/system" element={<System />} />
-                  <Route path="/settings" element={<Settings />} />
-                  <Route path="/config" element={<ConfigEditor />} />
-                  <Route path="/logs" element={<Logs />} />
-                  <Route path="/playground" element={<UIPlayground />} />
-                  <Route path="*" element={<Redirect to="/" />} />
-                </Routes>
-              </Suspense>
+      <AuthProvider>
+        <BrowserRouter basename={window.baseUrl}>
+          <Wrapper>
+            <div className="size-full overflow-hidden">
+              {isDesktop && <Sidebar />}
+              {isDesktop && <Statusbar />}
+              {isMobile && <Bottombar />}
+              <div
+                id="pageRoot"
+                className={cn(
+                  "absolute right-0 top-0 overflow-hidden",
+                  isMobile
+                    ? `bottom-${isPWA ? 16 : 12} left-0 md:bottom-16 landscape:bottom-14 landscape:md:bottom-16`
+                    : "bottom-8 left-[52px]",
+                )}
+              >
+                <Suspense>
+                  <Routes>
+                    <Route
+                      element={
+                        <ProtectedRoute requiredRoles={["viewer", "admin"]} />
+                      }
+                    >
+                      <Route index element={<Live />} />
+                      <Route path="/review" element={<Events />} />
+                      <Route path="/explore" element={<Explore />} />
+                      <Route path="/export" element={<Exports />} />
+                      <Route path="/settings" element={<Settings />} />
+                    </Route>
+                    <Route
+                      element={<ProtectedRoute requiredRoles={["admin"]} />}
+                    >
+                      <Route path="/system" element={<System />} />
+                      <Route path="/config" element={<ConfigEditor />} />
+                      <Route path="/logs" element={<Logs />} />
+                      <Route path="/faces" element={<FaceLibrary />} />
+                      <Route path="/playground" element={<UIPlayground />} />
+                    </Route>
+                    <Route path="/unauthorized" element={<AccessDenied />} />
+                    <Route path="*" element={<Redirect to="/" />} />
+                  </Routes>
+                </Suspense>
+              </div>
             </div>
-          </div>
-        </Wrapper>
-      </BrowserRouter>
+          </Wrapper>
+        </BrowserRouter>
+      </AuthProvider>
     </Providers>
   );
 }
diff --git a/web/src/api/ws.tsx b/web/src/api/ws.tsx
index 9b8924d1b..3e9c8c14f 100644
--- a/web/src/api/ws.tsx
+++ b/web/src/api/ws.tsx
@@ -44,25 +44,45 @@ function useValue(): useValueReturn {
       return;
     }
 
-    const cameraActivity: { [key: string]: object } = JSON.parse(activityValue);
+    const cameraActivity: { [key: string]: FrigateCameraState } =
+      JSON.parse(activityValue);
 
-    if (!cameraActivity) {
+    if (Object.keys(cameraActivity).length === 0) {
       return;
     }
 
     const cameraStates: WsState = {};
 
     Object.entries(cameraActivity).forEach(([name, state]) => {
-      const { record, detect, snapshots, audio, autotracking } =
-        // @ts-expect-error we know this is correct
-        state["config"];
+      const {
+        record,
+        detect,
+        enabled,
+        snapshots,
+        audio,
+        notifications,
+        notifications_suspended,
+        autotracking,
+        alerts,
+        detections,
+      } = state["config"];
       cameraStates[`${name}/recordings/state`] = record ? "ON" : "OFF";
+      cameraStates[`${name}/enabled/state`] = enabled ? "ON" : "OFF";
       cameraStates[`${name}/detect/state`] = detect ? "ON" : "OFF";
       cameraStates[`${name}/snapshots/state`] = snapshots ? "ON" : "OFF";
       cameraStates[`${name}/audio/state`] = audio ? "ON" : "OFF";
+      cameraStates[`${name}/notifications/state`] = notifications
+        ? "ON"
+        : "OFF";
+      cameraStates[`${name}/notifications/suspended`] =
+        notifications_suspended || 0;
       cameraStates[`${name}/ptz_autotracker/state`] = autotracking
         ? "ON"
         : "OFF";
+      cameraStates[`${name}/review_alerts/state`] = alerts ? "ON" : "OFF";
+      cameraStates[`${name}/review_detections/state`] = detections
+        ? "ON"
+        : "OFF";
     });
 
     setWsState((prevState) => ({
@@ -145,6 +165,17 @@ export function useWs(watchTopic: string, publishTopic: string) {
   return { value, send };
 }
 
+export function useEnabledState(camera: string): {
+  payload: ToggleableSetting;
+  send: (payload: ToggleableSetting, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs(`${camera}/enabled/state`, `${camera}/enabled/set`);
+  return { payload: payload as ToggleableSetting, send };
+}
+
 export function useDetectState(camera: string): {
   payload: ToggleableSetting;
   send: (payload: ToggleableSetting, retain?: boolean) => void;
@@ -200,6 +231,31 @@ export function useAutotrackingState(camera: string): {
   return { payload: payload as ToggleableSetting, send };
 }
 
+export function useAlertsState(camera: string): {
+  payload: ToggleableSetting;
+  send: (payload: ToggleableSetting, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs(`${camera}/review_alerts/state`, `${camera}/review_alerts/set`);
+  return { payload: payload as ToggleableSetting, send };
+}
+
+export function useDetectionsState(camera: string): {
+  payload: ToggleableSetting;
+  send: (payload: ToggleableSetting, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs(
+    `${camera}/review_detections/state`,
+    `${camera}/review_detections/set`,
+  );
+  return { payload: payload as ToggleableSetting, send };
+}
+
 export function usePtzCommand(camera: string): {
   payload: string;
   send: (payload: string, retain?: boolean) => void;
@@ -413,3 +469,39 @@ export function useTrackedObjectUpdate(): { payload: string } {
   } = useWs("tracked_object_update", "");
   return useDeepMemo(JSON.parse(payload as string));
 }
+
+export function useNotifications(camera: string): {
+  payload: ToggleableSetting;
+  send: (payload: string, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs(`${camera}/notifications/state`, `${camera}/notifications/set`);
+  return { payload: payload as ToggleableSetting, send };
+}
+
+export function useNotificationSuspend(camera: string): {
+  payload: string;
+  send: (payload: number, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs(
+    `${camera}/notifications/suspended`,
+    `${camera}/notifications/suspend`,
+  );
+  return { payload: payload as string, send };
+}
+
+export function useNotificationTest(): {
+  payload: string;
+  send: (payload: string, retain?: boolean) => void;
+} {
+  const {
+    value: { payload },
+    send,
+  } = useWs("notification_test", "notification_test");
+  return { payload: payload as string, send };
+}
diff --git a/web/src/components/Statusbar.tsx b/web/src/components/Statusbar.tsx
index 1b20b26f6..0ac6d10a4 100644
--- a/web/src/components/Statusbar.tsx
+++ b/web/src/components/Statusbar.tsx
@@ -5,12 +5,16 @@ import {
 } from "@/context/statusbar-provider";
 import useStats, { useAutoFrigateStats } from "@/hooks/use-stats";
 import { useContext, useEffect, useMemo } from "react";
+import { useTranslation } from "react-i18next";
+
 import { FaCheck } from "react-icons/fa";
 import { IoIosWarning } from "react-icons/io";
 import { MdCircle } from "react-icons/md";
 import { Link } from "react-router-dom";
 
 export default function Statusbar() {
+  const { t } = useTranslation(["views/system"]);
+
   const { messages, addMessage, clearMessages } = useContext(
     StatusBarMessagesContext,
   )!;
@@ -50,14 +54,19 @@ export default function Statusbar() {
         clearMessages("embeddings-reindex");
         addMessage(
           "embeddings-reindex",
-          `Reindexing embeddings (${Math.floor((reindexState.processed_objects / reindexState.total_objects) * 100)}% complete)`,
+          t("stats.reindexingEmbeddings", {
+            processed: Math.floor(
+              (reindexState.processed_objects / reindexState.total_objects) *
+                100,
+            ),
+          }),
         );
       }
       if (reindexState.status === "completed") {
         clearMessages("embeddings-reindex");
       }
     }
-  }, [reindexState, addMessage, clearMessages]);
+  }, [reindexState, addMessage, clearMessages, t]);
 
   return (
     <div className="absolute bottom-0 left-0 right-0 z-10 flex h-8 w-full items-center justify-between border-t border-secondary-highlight bg-background_alt px-4 dark:text-secondary-foreground">
@@ -92,6 +101,9 @@ export default function Statusbar() {
             case "intel-qsv":
               gpuTitle = "Intel GPU";
               break;
+            case "rockchip":
+              gpuTitle = "Rockchip GPU";
+              break;
             default:
               gpuTitle = name;
               break;
@@ -129,7 +141,7 @@ export default function Statusbar() {
         {Object.entries(messages).length === 0 ? (
           <div className="flex items-center gap-2 text-sm">
             <FaCheck className="size-3 text-green-500" />
-            System is healthy
+            {t("stats.healthy")}
           </div>
         ) : (
           Object.entries(messages).map(([key, messageArray]) => (
diff --git a/web/src/components/auth/AuthForm.tsx b/web/src/components/auth/AuthForm.tsx
index 99ce37283..12e8f777e 100644
--- a/web/src/components/auth/AuthForm.tsx
+++ b/web/src/components/auth/AuthForm.tsx
@@ -20,24 +20,25 @@ import {
 import { useForm } from "react-hook-form";
 import { zodResolver } from "@hookform/resolvers/zod";
 import { z } from "zod";
+import { AuthContext } from "@/context/auth-context";
+import { useTranslation } from "react-i18next";
 
 interface UserAuthFormProps extends React.HTMLAttributes<HTMLDivElement> {}
 
 export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
+  const { t } = useTranslation(["components/auth"]);
   const [isLoading, setIsLoading] = React.useState<boolean>(false);
+  const { login } = React.useContext(AuthContext);
 
   const formSchema = z.object({
-    user: z.string(),
-    password: z.string(),
+    user: z.string().min(1, t("form.errors.usernameRequired")),
+    password: z.string().min(1, t("form.errors.passwordRequired")),
   });
 
   const form = useForm<z.infer<typeof formSchema>>({
     resolver: zodResolver(formSchema),
     mode: "onChange",
-    defaultValues: {
-      user: "",
-      password: "",
-    },
+    defaultValues: { user: "", password: "" },
   });
 
   const onSubmit = async (values: z.infer<typeof formSchema>) => {
@@ -50,30 +51,33 @@ export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
           password: values.password,
         },
         {
-          headers: {
-            "X-CSRF-TOKEN": 1,
-          },
+          headers: { "X-CSRF-TOKEN": 1 },
         },
       );
+      const profileRes = await axios.get("/profile", { withCredentials: true });
+      login({
+        username: profileRes.data.username,
+        role: profileRes.data.role || "viewer",
+      });
       window.location.href = baseUrl;
     } catch (error) {
       if (axios.isAxiosError(error)) {
         const err = error as AxiosError;
         if (err.response?.status === 429) {
-          toast.error("Exceeded rate limit. Try again later.", {
+          toast.error(t("form.errors.rateLimit"), {
             position: "top-center",
           });
         } else if (err.response?.status === 401) {
-          toast.error("Login failed", {
+          toast.error(t("form.errors.loginFailed"), {
             position: "top-center",
           });
         } else {
-          toast.error("Unknown error. Check logs.", {
+          toast.error(t("form.errors.unknownError"), {
             position: "top-center",
           });
         }
       } else {
-        toast.error("Unknown error. Check console logs.", {
+        toast.error(t("form.errors.webUnknownError"), {
           position: "top-center",
         });
       }
@@ -85,16 +89,19 @@ export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
   return (
     <div className={cn("grid gap-6", className)} {...props}>
       <Form {...form}>
-        <form onSubmit={form.handleSubmit(onSubmit)}>
+        <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
           <FormField
             name="user"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>User</FormLabel>
+                <FormLabel>{t("form.user")}</FormLabel>
                 <FormControl>
                   <Input
                     className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
                     autoFocus
+                    autoCapitalize="off"
+                    autoCorrect="off"
+                    spellCheck="false"
                     {...field}
                   />
                 </FormControl>
@@ -105,7 +112,7 @@ export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
             name="password"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Password</FormLabel>
+                <FormLabel>{t("form.password")}</FormLabel>
                 <FormControl>
                   <Input
                     className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
@@ -121,10 +128,10 @@ export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
               variant="select"
               disabled={isLoading}
               className="flex flex-1"
-              aria-label="Login"
+              aria-label={t("form.login")}
             >
               {isLoading && <ActivityIndicator className="mr-2 h-4 w-4" />}
-              Login
+              {t("form.login")}
             </Button>
           </div>
         </form>
diff --git a/web/src/components/auth/ProtectedRoute.tsx b/web/src/components/auth/ProtectedRoute.tsx
new file mode 100644
index 000000000..c35fdaebc
--- /dev/null
+++ b/web/src/components/auth/ProtectedRoute.tsx
@@ -0,0 +1,40 @@
+import { useContext } from "react";
+import { Navigate, Outlet } from "react-router-dom";
+import { AuthContext } from "@/context/auth-context";
+import ActivityIndicator from "../indicators/activity-indicator";
+
+export default function ProtectedRoute({
+  requiredRoles,
+}: {
+  requiredRoles: ("admin" | "viewer")[];
+}) {
+  const { auth } = useContext(AuthContext);
+
+  if (auth.isLoading) {
+    return (
+      <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+    );
+  }
+
+  // Unauthenticated mode
+  if (!auth.isAuthenticated) {
+    return <Outlet />;
+  }
+
+  // Authenticated mode (8971): require login
+  if (!auth.user) {
+    return <Navigate to="/login" replace />;
+  }
+
+  // If role is null (shouldn’t happen if isAuthenticated, but type safety), fallback
+  // though isAuthenticated should catch this
+  if (auth.user.role === null) {
+    return <Outlet />;
+  }
+
+  if (!requiredRoles.includes(auth.user.role)) {
+    return <Navigate to="/unauthorized" replace />;
+  }
+
+  return <Outlet />;
+}
diff --git a/web/src/components/button/DownloadVideoButton.tsx b/web/src/components/button/DownloadVideoButton.tsx
index 750b35607..607458af4 100644
--- a/web/src/components/button/DownloadVideoButton.tsx
+++ b/web/src/components/button/DownloadVideoButton.tsx
@@ -3,6 +3,11 @@ import { toast } from "sonner";
 import { FaDownload } from "react-icons/fa";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useDateLocale } from "@/hooks/use-date-locale";
+import { useMemo } from "react";
 
 type DownloadVideoButtonProps = {
   source: string;
@@ -17,15 +22,23 @@ export function DownloadVideoButton({
   startTime,
   className,
 }: DownloadVideoButtonProps) {
+  const { t } = useTranslation(["components/input"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const locale = useDateLocale();
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    return t(`time.formattedTimestampFilename.${timeFormat}`, { ns: "common" });
+  }, [t, timeFormat]);
+
   const formattedDate = formatUnixTimestampToDateTime(startTime, {
-    strftime_fmt: "%D-%T",
-    time_style: "medium",
-    date_style: "medium",
+    date_format: format,
+    locale,
   });
   const filename = `${camera}_${formattedDate}.mp4`;
 
   const handleDownloadStart = () => {
-    toast.success("Your review item video has started downloading.", {
+    toast.success(t("button.downloadVideo.toast.success"), {
       position: "top-center",
     });
   };
@@ -36,7 +49,7 @@ export function DownloadVideoButton({
         asChild
         className="flex items-center gap-2"
         size="sm"
-        aria-label="Download Video"
+        aria-label={t("button.downloadVideo.label")}
       >
         <a href={source} download={filename} onClick={handleDownloadStart}>
           <FaDownload
diff --git a/web/src/components/camera/AutoUpdatingCameraImage.tsx b/web/src/components/camera/AutoUpdatingCameraImage.tsx
index ee0f6eccc..95d90d9bd 100644
--- a/web/src/components/camera/AutoUpdatingCameraImage.tsx
+++ b/web/src/components/camera/AutoUpdatingCameraImage.tsx
@@ -1,4 +1,4 @@
-import { useCallback, useEffect, useRef, useState } from "react";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import CameraImage from "./CameraImage";
 
 type AutoUpdatingCameraImageProps = {
@@ -8,6 +8,7 @@ type AutoUpdatingCameraImageProps = {
   className?: string;
   cameraClasses?: string;
   reloadInterval?: number;
+  periodicCache?: boolean;
 };
 
 const MIN_LOAD_TIMEOUT_MS = 200;
@@ -19,6 +20,7 @@ export default function AutoUpdatingCameraImage({
   className,
   cameraClasses,
   reloadInterval = MIN_LOAD_TIMEOUT_MS,
+  periodicCache = false,
 }: AutoUpdatingCameraImageProps) {
   const [key, setKey] = useState(Date.now());
   const [fps, setFps] = useState<string>("0");
@@ -42,6 +44,8 @@ export default function AutoUpdatingCameraImage({
   }, [reloadInterval]);
 
   const handleLoad = useCallback(() => {
+    setIsCached(true);
+
     if (reloadInterval == -1) {
       return;
     }
@@ -66,12 +70,31 @@ export default function AutoUpdatingCameraImage({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [key, setFps]);
 
+  // periodic cache to reduce loading indicator
+
+  const [isCached, setIsCached] = useState(false);
+
+  const cacheKey = useMemo(() => {
+    let baseParam = "";
+
+    if (periodicCache && !isCached) {
+      const date = new Date(key);
+      date.setMinutes(date.getMinutes() - (date.getMinutes() % 10), 0, 0);
+
+      baseParam = `store=1&cache=${date.getTime() / 1000}`;
+    } else {
+      baseParam = `cache=${key}`;
+    }
+
+    return `${baseParam}${searchParams ? `&${searchParams}` : ""}`;
+  }, [isCached, periodicCache, key, searchParams]);
+
   return (
     <div className={className}>
       <CameraImage
         camera={camera}
         onload={handleLoad}
-        searchParams={`cache=${key}${searchParams ? `&${searchParams}` : ""}`}
+        searchParams={cacheKey}
         className={cameraClasses}
       />
       {showFps ? <span className="text-xs">Displaying at {fps}fps</span> : null}
diff --git a/web/src/components/camera/CameraImage.tsx b/web/src/components/camera/CameraImage.tsx
index ba35d643e..716e63f57 100644
--- a/web/src/components/camera/CameraImage.tsx
+++ b/web/src/components/camera/CameraImage.tsx
@@ -5,6 +5,7 @@ import ActivityIndicator from "../indicators/activity-indicator";
 import { useResizeObserver } from "@/hooks/resize-observer";
 import { isDesktop } from "react-device-detect";
 import { cn } from "@/lib/utils";
+import { useEnabledState } from "@/api/ws";
 
 type CameraImageProps = {
   className?: string;
@@ -26,7 +27,8 @@ export default function CameraImage({
   const imgRef = useRef<HTMLImageElement | null>(null);
 
   const { name } = config ? config.cameras[camera] : "";
-  const enabled = config ? config.cameras[camera].enabled : "True";
+  const { payload: enabledState } = useEnabledState(camera);
+  const enabled = enabledState ? enabledState === "ON" : true;
 
   const [{ width: containerWidth, height: containerHeight }] =
     useResizeObserver(containerRef);
@@ -96,9 +98,7 @@ export default function CameraImage({
           loading="lazy"
         />
       ) : (
-        <div className="pt-6 text-center">
-          Camera is disabled in config, no stream or snapshot available!
-        </div>
+        <div className="size-full rounded-lg border-2 border-muted bg-background_alt text-center md:rounded-2xl" />
       )}
       {!imageLoaded && enabled ? (
         <div className="absolute bottom-0 left-0 right-0 top-0 flex items-center justify-center">
diff --git a/web/src/components/camera/DebugCameraImage.tsx b/web/src/components/camera/DebugCameraImage.tsx
index 998f15faa..3d840d0d3 100644
--- a/web/src/components/camera/DebugCameraImage.tsx
+++ b/web/src/components/camera/DebugCameraImage.tsx
@@ -7,6 +7,7 @@ import { useCallback, useMemo, useState } from "react";
 import { Card, CardContent, CardHeader, CardTitle } from "../ui/card";
 import { usePersistence } from "@/hooks/use-persistence";
 import AutoUpdatingCameraImage from "./AutoUpdatingCameraImage";
+import { useTranslation } from "react-i18next";
 
 type Options = { [key: string]: boolean };
 
@@ -21,6 +22,7 @@ export default function DebugCameraImage({
   className,
   cameraConfig,
 }: DebugCameraImageProps) {
+  const { t } = useTranslation(["components/camera"]);
   const [showSettings, setShowSettings] = useState(false);
   const [options, setOptions] = usePersistence<Options>(
     `${cameraConfig?.name}-feed`,
@@ -59,17 +61,21 @@ export default function DebugCameraImage({
         onClick={handleToggleSettings}
         variant="link"
         size="sm"
-        aria-label="Settings"
+        aria-label={t("debug.options.label")}
       >
         <span className="h-5 w-5">
           <LuSettings />
         </span>{" "}
-        <span>{showSettings ? "Hide" : "Show"} Options</span>
+        <span>
+          {showSettings
+            ? t("debug.options.hideOptions")
+            : t("debug.options.showOptions")}
+        </span>
       </Button>
       {showSettings ? (
         <Card>
           <CardHeader>
-            <CardTitle>Options</CardTitle>
+            <CardTitle>{t("debug.options.title")}</CardTitle>
           </CardHeader>
           <CardContent>
             <DebugSettings
@@ -89,6 +95,7 @@ type DebugSettingsProps = {
 };
 
 function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
+  const { t } = useTranslation(["components/camera"]);
   return (
     <div className="grid grid-cols-2 gap-4 md:grid-cols-3 lg:grid-cols-4">
       <div className="flex items-center space-x-2">
@@ -99,7 +106,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("bbox", isChecked);
           }}
         />
-        <Label htmlFor="bbox">Bounding Box</Label>
+        <Label htmlFor="bbox">{t("debug.boundingBox")}</Label>
       </div>
       <div className="flex items-center space-x-2">
         <Switch
@@ -109,7 +116,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("timestamp", isChecked);
           }}
         />
-        <Label htmlFor="timestamp">Timestamp</Label>
+        <Label htmlFor="timestamp">{t("debug.timestamp")}</Label>
       </div>
       <div className="flex items-center space-x-2">
         <Switch
@@ -119,7 +126,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("zones", isChecked);
           }}
         />
-        <Label htmlFor="zones">Zones</Label>
+        <Label htmlFor="zones">{t("debug.zones")}</Label>
       </div>
       <div className="flex items-center space-x-2">
         <Switch
@@ -129,7 +136,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("mask", isChecked);
           }}
         />
-        <Label htmlFor="mask">Mask</Label>
+        <Label htmlFor="mask">{t("debug.mask")}</Label>
       </div>
       <div className="flex items-center space-x-2">
         <Switch
@@ -139,7 +146,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("motion", isChecked);
           }}
         />
-        <Label htmlFor="motion">Motion</Label>
+        <Label htmlFor="motion">{t("debug.motion")}</Label>
       </div>
       <div className="flex items-center space-x-2">
         <Switch
@@ -149,7 +156,7 @@ function DebugSettings({ handleSetOption, options }: DebugSettingsProps) {
             handleSetOption("regions", isChecked);
           }}
         />
-        <Label htmlFor="regions">Regions</Label>
+        <Label htmlFor="regions">{t("debug.regions")}</Label>
       </div>
     </div>
   );
diff --git a/web/src/components/camera/ResizingCameraImage.tsx b/web/src/components/camera/ResizingCameraImage.tsx
index 81545c625..fbb57677b 100644
--- a/web/src/components/camera/ResizingCameraImage.tsx
+++ b/web/src/components/camera/ResizingCameraImage.tsx
@@ -108,9 +108,7 @@ export default function CameraImage({
           width={scaledWidth}
         />
       ) : (
-        <div className="pt-6 text-center">
-          Camera is disabled in config, no stream or snapshot available!
-        </div>
+        <div className="pt-6 text-center">Camera is disabled.</div>
       )}
       {!hasLoaded && enabled ? (
         <div
diff --git a/web/src/components/card/AnimatedEventCard.tsx b/web/src/components/card/AnimatedEventCard.tsx
index a41e2252a..d46509eb6 100644
--- a/web/src/components/card/AnimatedEventCard.tsx
+++ b/web/src/components/card/AnimatedEventCard.tsx
@@ -18,6 +18,7 @@ import { Skeleton } from "../ui/skeleton";
 import { Button } from "../ui/button";
 import { FaCircleCheck } from "react-icons/fa6";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type AnimatedEventCardProps = {
   event: ReviewSegment;
@@ -29,6 +30,7 @@ export function AnimatedEventCard({
   selectedGroup,
   updateEvents,
 }: AnimatedEventCardProps) {
+  const { t } = useTranslation(["views/events"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const apiHost = useApiHost();
 
@@ -121,7 +123,7 @@ export function AnimatedEventCard({
                 <Button
                   className="absolute right-2 top-1 z-40 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
                   size="xs"
-                  aria-label="Mark as Reviewed"
+                  aria-label={t("markAsReviewed")}
                   onClick={async () => {
                     await axios.post(`reviews/viewed`, { ids: [event.id] });
                     updateEvents();
@@ -130,7 +132,7 @@ export function AnimatedEventCard({
                   <FaCircleCheck className="size-3 text-white" />
                 </Button>
               </TooltipTrigger>
-              <TooltipContent>Mark as Reviewed</TooltipContent>
+              <TooltipContent>{t("markAsReviewed")}</TooltipContent>
             </Tooltip>
           )}
           {previews != undefined && (
@@ -227,7 +229,7 @@ export function AnimatedEventCard({
           .map((text) => text.charAt(0).toUpperCase() + text.substring(1))
           .sort()
           .join(", ")
-          .replaceAll("-verified", "")} detected`}
+          .replaceAll("-verified", "")} ` + t("detected")}
       </TooltipContent>
     </Tooltip>
   );
diff --git a/web/src/components/card/ExportCard.tsx b/web/src/components/card/ExportCard.tsx
index c47532df8..9115e0509 100644
--- a/web/src/components/card/ExportCard.tsx
+++ b/web/src/components/card/ExportCard.tsx
@@ -20,6 +20,7 @@ import { MdEditSquare } from "react-icons/md";
 import { baseUrl } from "@/api/baseUrl";
 import { cn } from "@/lib/utils";
 import { shareOrCopy } from "@/utils/browserUtil";
+import { useTranslation } from "react-i18next";
 
 type ExportProps = {
   className: string;
@@ -36,6 +37,7 @@ export default function ExportCard({
   onRename,
   onDelete,
 }: ExportProps) {
+  const { t } = useTranslation(["views/exports"]);
   const [hovered, setHovered] = useState(false);
   const [loading, setLoading] = useState(
     exportedRecording.thumb_path.length > 0,
@@ -89,10 +91,8 @@ export default function ExportCard({
             }
           }}
         >
-          <DialogTitle>Rename Export</DialogTitle>
-          <DialogDescription>
-            Enter a new name for this export.
-          </DialogDescription>
+          <DialogTitle>{t("editExport.title")}</DialogTitle>
+          <DialogDescription>{t("editExport.desc")}</DialogDescription>
           {editName && (
             <>
               <Input
@@ -113,13 +113,13 @@ export default function ExportCard({
               />
               <DialogFooter>
                 <Button
-                  aria-label="Save Export"
+                  aria-label={t("editExport.saveExport")}
                   size="sm"
                   variant="select"
                   disabled={(editName?.update?.length ?? 0) == 0}
                   onClick={() => submitRename()}
                 >
-                  Save
+                  {t("button.save", { ns: "common" })}
                 </Button>
               </DialogFooter>
             </>
@@ -207,7 +207,7 @@ export default function ExportCard({
             {!exportedRecording.in_progress && (
               <Button
                 className="absolute left-1/2 top-1/2 h-20 w-20 -translate-x-1/2 -translate-y-1/2 cursor-pointer text-white hover:bg-transparent hover:text-white"
-                aria-label="Play"
+                aria-label={t("button.play", { ns: "common" })}
                 variant="ghost"
                 onClick={() => {
                   onSelect(exportedRecording);
@@ -222,7 +222,7 @@ export default function ExportCard({
           <Skeleton className="absolute inset-0 aspect-video rounded-lg md:rounded-2xl" />
         )}
         <div className="rounded-b-l pointer-events-none absolute inset-x-0 bottom-0 h-[20%] rounded-lg bg-gradient-to-t from-black/60 to-transparent md:rounded-2xl">
-          <div className="mx-3 flex h-full items-end justify-between pb-1 text-sm capitalize text-white">
+          <div className="mx-3 flex h-full items-end justify-between pb-1 text-sm text-white smart-capitalize">
             {exportedRecording.name.replaceAll("_", " ")}
           </div>
         </div>
diff --git a/web/src/components/card/ReviewCard.tsx b/web/src/components/card/ReviewCard.tsx
index e10e009fb..09929cec5 100644
--- a/web/src/components/card/ReviewCard.tsx
+++ b/web/src/components/card/ReviewCard.tsx
@@ -35,6 +35,7 @@ import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { buttonVariants } from "../ui/button";
+import { Trans, useTranslation } from "react-i18next";
 
 type ReviewCardProps = {
   event: ReviewSegment;
@@ -46,11 +47,14 @@ export default function ReviewCard({
   currentTime,
   onClick,
 }: ReviewCardProps) {
+  const { t } = useTranslation(["components/dialog"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
   const formattedDate = useFormattedTimestamp(
     event.start_time,
-    config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p",
+    config?.ui.time_format == "24hour"
+      ? t("time.formattedTimestampHourMinute.24hour", { ns: "common" })
+      : t("time.formattedTimestampHourMinute.12hour", { ns: "common" }),
     config?.ui.timezone,
   );
   const isSelected = useMemo(
@@ -82,26 +86,20 @@ export default function ReviewCard({
       )
       .then((response) => {
         if (response.status == 200) {
-          toast.success(
-            "Successfully started export. View the file in the /exports folder.",
-            { position: "top-center" },
-          );
-        }
-      })
-      .catch((error) => {
-        if (error.response?.data?.message) {
-          toast.error(
-            `Failed to start export: ${error.response.data.message}`,
-            { position: "top-center" },
-          );
-        } else {
-          toast.error(`Failed to start export: ${error.message}`, {
+          toast.success(t("export.toast.success"), {
             position: "top-center",
           });
         }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message || error.message || "Unknown error";
+        toast.error(t("export.toast.error.failed", { error: errorMessage }), {
+          position: "top-center",
+        });
       });
     setOptionsOpen(false);
-  }, [event]);
+  }, [event, t]);
 
   const onDelete = useCallback(async () => {
     await axios.post(`reviews/delete`, { ids: [event.id] });
@@ -177,7 +175,7 @@ export default function ReviewCard({
               <div className="font-extra-light text-xs">{formattedDate}</div>
             </div>
           </TooltipTrigger>
-          <TooltipContent className="capitalize">
+          <TooltipContent className="smart-capitalize">
             {[
               ...new Set([
                 ...(event.data.objects || []),
@@ -216,24 +214,24 @@ export default function ReviewCard({
         >
           <AlertDialogContent>
             <AlertDialogHeader>
-              <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+              <AlertDialogTitle>
+                {t("recording.confirmDelete.title")}
+              </AlertDialogTitle>
             </AlertDialogHeader>
             <AlertDialogDescription>
-              Are you sure you want to delete all recorded video associated with
-              this review item?
-              <br />
-              <br />
-              Hold the <em>Shift</em> key to bypass this dialog in the future.
+              <Trans ns="components/dialog">
+                recording.confirmDelete.title
+              </Trans>
             </AlertDialogDescription>
             <AlertDialogFooter>
               <AlertDialogCancel onClick={() => setOptionsOpen(false)}>
-                Cancel
+                {t("button.cancel", { ns: "common" })}
               </AlertDialogCancel>
               <AlertDialogAction
                 className={buttonVariants({ variant: "destructive" })}
                 onClick={onDelete}
               >
-                Delete
+                {t("button.delete", { ns: "common" })}
               </AlertDialogAction>
             </AlertDialogFooter>
           </AlertDialogContent>
@@ -247,7 +245,9 @@ export default function ReviewCard({
                 onClick={onExport}
               >
                 <FaCompactDisc className="text-secondary-foreground" />
-                <div className="text-primary">Export</div>
+                <div className="text-primary">
+                  {t("recording.button.export")}
+                </div>
               </div>
             </ContextMenuItem>
             {!event.has_been_reviewed && (
@@ -257,7 +257,9 @@ export default function ReviewCard({
                   onClick={onMarkAsReviewed}
                 >
                   <FaCircleCheck className="text-secondary-foreground" />
-                  <div className="text-primary">Mark as reviewed</div>
+                  <div className="text-primary">
+                    {t("recording.button.markAsReviewed")}
+                  </div>
                 </div>
               </ContextMenuItem>
             )}
@@ -268,7 +270,9 @@ export default function ReviewCard({
               >
                 <HiTrash className="text-secondary-foreground" />
                 <div className="text-primary">
-                  {bypassDialogRef.current ? "Delete Now" : "Delete"}
+                  {bypassDialogRef.current
+                    ? t("recording.button.deleteNow")
+                    : t("button.delete", { ns: "common" })}
                 </div>
               </div>
             </ContextMenuItem>
@@ -286,24 +290,24 @@ export default function ReviewCard({
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+            <AlertDialogTitle>
+              {t("recording.confirmDelete.title")}
+            </AlertDialogTitle>
           </AlertDialogHeader>
           <AlertDialogDescription>
-            Are you sure you want to delete all recorded video associated with
-            this review item?
-            <br />
-            <br />
-            Hold the <em>Shift</em> key to bypass this dialog in the future.
+            <Trans ns="components/dialog">
+              recording.confirmDelete.desc.selected
+            </Trans>
           </AlertDialogDescription>
           <AlertDialogFooter>
             <AlertDialogCancel onClick={() => setOptionsOpen(false)}>
-              Cancel
+              {t("button.cancel", { ns: "common" })}
             </AlertDialogCancel>
             <AlertDialogAction
               className={buttonVariants({ variant: "destructive" })}
               onClick={onDelete}
             >
-              Delete
+              {t("button.delete", { ns: "common" })}
             </AlertDialogAction>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -316,7 +320,7 @@ export default function ReviewCard({
             onClick={onExport}
           >
             <FaCompactDisc className="text-secondary-foreground" />
-            <div className="text-primary">Export</div>
+            <div className="text-primary">{t("recording.button.export")}</div>
           </div>
           {!event.has_been_reviewed && (
             <div
@@ -324,7 +328,9 @@ export default function ReviewCard({
               onClick={onMarkAsReviewed}
             >
               <FaCircleCheck className="text-secondary-foreground" />
-              <div className="text-primary">Mark as reviewed</div>
+              <div className="text-primary">
+                {t("recording.button.markAsReviewed")}
+              </div>
             </div>
           )}
           <div
@@ -333,7 +339,9 @@ export default function ReviewCard({
           >
             <HiTrash className="text-secondary-foreground" />
             <div className="text-primary">
-              {bypassDialogRef.current ? "Delete Now" : "Delete"}
+              {bypassDialogRef.current
+                ? t("recording.button.deleteNow")
+                : t("button.delete", { ns: "common" })}
             </div>
           </div>
         </DrawerContent>
diff --git a/web/src/components/card/SearchThumbnail.tsx b/web/src/components/card/SearchThumbnail.tsx
index b7dd64e79..3876a7710 100644
--- a/web/src/components/card/SearchThumbnail.tsx
+++ b/web/src/components/card/SearchThumbnail.tsx
@@ -8,11 +8,11 @@ import Chip from "@/components/indicators/Chip";
 import useImageLoaded from "@/hooks/use-image-loaded";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import ImageLoadingIndicator from "../indicators/ImageLoadingIndicator";
-import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { SearchResult } from "@/types/search";
 import { cn } from "@/lib/utils";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import useContextMenu from "@/hooks/use-contextmenu";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type SearchThumbnailProps = {
   searchResult: SearchResult;
@@ -43,17 +43,54 @@ export default function SearchThumbnail({
     [searchResult, onClick],
   );
 
+  const hasRecognizedPlate = useMemo(
+    () => (searchResult.data.recognized_license_plate?.length || 0) > 0,
+    [searchResult],
+  );
+
   const objectLabel = useMemo(() => {
-    if (
-      !config ||
-      !searchResult.sub_label ||
-      !config.model.attributes_map[searchResult.label]
-    ) {
+    if (!config) {
       return searchResult.label;
     }
 
+    if (!searchResult.sub_label) {
+      return `${searchResult.label}${hasRecognizedPlate ? "-plate" : ""}`;
+    }
+
+    if (
+      config.model.attributes_map[searchResult.label]?.includes(
+        searchResult.sub_label,
+      )
+    ) {
+      return searchResult.sub_label;
+    }
+
     return `${searchResult.label}-verified`;
-  }, [config, searchResult]);
+  }, [config, hasRecognizedPlate, searchResult]);
+
+  const objectDetail = useMemo(() => {
+    if (!config) {
+      return undefined;
+    }
+
+    if (!searchResult.sub_label) {
+      if (hasRecognizedPlate) {
+        return `(${searchResult.data.recognized_license_plate})`;
+      }
+
+      return undefined;
+    }
+
+    if (
+      config.model.attributes_map[searchResult.label]?.includes(
+        searchResult.sub_label,
+      )
+    ) {
+      return "";
+    }
+
+    return `(${searchResult.sub_label})`;
+  }, [config, hasRecognizedPlate, searchResult]);
 
   return (
     <div
@@ -80,7 +117,7 @@ export default function SearchThumbnail({
               : undefined
           }
           draggable={false}
-          src={`${apiHost}api/events/${searchResult.id}/thumbnail.jpg`}
+          src={`${apiHost}api/events/${searchResult.id}/thumbnail.webp`}
           loading={isSafari ? "eager" : "lazy"}
           onLoad={() => {
             onImgLoad();
@@ -93,27 +130,27 @@ export default function SearchThumbnail({
               <TooltipTrigger asChild>
                 <div className="mx-3 pb-1 text-sm text-white">
                   <Chip
-                    className={`z-0 flex items-center justify-between gap-1 space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs`}
+                    className={`z-0 flex items-center justify-between gap-1 space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs capitalize`}
                     onClick={() => onClick(searchResult, false, true)}
                   >
                     {getIconForLabel(objectLabel, "size-3 text-white")}
-                    {Math.round(
+                    {Math.floor(
                       (searchResult.data.score ??
                         searchResult.data.top_score ??
                         searchResult.top_score) * 100,
                     )}
-                    %
+                    % {objectDetail}
                   </Chip>
                 </div>
               </TooltipTrigger>
             </div>
             <TooltipPortal>
-              <TooltipContent className="capitalize">
+              <TooltipContent className="smart-capitalize">
                 {[searchResult.sub_label ?? objectLabel]
                   .filter(
                     (item) => item !== undefined && !item.includes("-verified"),
                   )
-                  .map((text) => capitalizeFirstLetter(text))
+                  .map((text) => getTranslatedLabel(text))
                   .sort()
                   .join(", ")
                   .replaceAll("-verified", "")}
diff --git a/web/src/components/card/SearchThumbnailFooter.tsx b/web/src/components/card/SearchThumbnailFooter.tsx
index 33db0c598..c86e9c3c6 100644
--- a/web/src/components/card/SearchThumbnailFooter.tsx
+++ b/web/src/components/card/SearchThumbnailFooter.tsx
@@ -6,6 +6,7 @@ import { SearchResult } from "@/types/search";
 import ActivityIndicator from "../indicators/activity-indicator";
 import SearchResultActions from "../menu/SearchResultActions";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type SearchThumbnailProps = {
   searchResult: SearchResult;
@@ -24,12 +25,15 @@ export default function SearchThumbnailFooter({
   showObjectLifecycle,
   showSnapshot,
 }: SearchThumbnailProps) {
+  const { t } = useTranslation(["views/search"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // date
   const formattedDate = useFormattedTimestamp(
     searchResult.start_time,
-    config?.ui.time_format == "24hour" ? "%b %-d, %H:%M" : "%b %-d, %I:%M %p",
+    config?.ui.time_format == "24hour"
+      ? t("time.formattedTimestampMonthDayHourMinute.24hour", { ns: "common" })
+      : t("time.formattedTimestampMonthDayHourMinute.12hour", { ns: "common" }),
     config?.ui.timezone,
   );
 
diff --git a/web/src/components/dynamic/CameraFeatureToggle.tsx b/web/src/components/dynamic/CameraFeatureToggle.tsx
index 4b9dabe95..122178edb 100644
--- a/web/src/components/dynamic/CameraFeatureToggle.tsx
+++ b/web/src/components/dynamic/CameraFeatureToggle.tsx
@@ -11,11 +11,15 @@ const variants = {
   primary: {
     active: "font-bold text-white bg-selected rounded-lg",
     inactive: "text-secondary-foreground bg-secondary rounded-lg",
+    disabled:
+      "text-secondary-foreground bg-secondary rounded-lg cursor-not-allowed opacity-50",
   },
   overlay: {
     active: "font-bold text-white bg-selected rounded-full",
     inactive:
       "text-primary rounded-full bg-gradient-to-br from-gray-400 to-gray-500 bg-gray-500",
+    disabled:
+      "bg-gradient-to-br from-gray-400 to-gray-500 bg-gray-500 rounded-full cursor-not-allowed opacity-50",
   },
 };
 
@@ -26,6 +30,7 @@ type CameraFeatureToggleProps = {
   Icon: IconType;
   title: string;
   onClick?: () => void;
+  disabled?: boolean; // New prop for disabling
 };
 
 export default function CameraFeatureToggle({
@@ -35,18 +40,28 @@ export default function CameraFeatureToggle({
   Icon,
   title,
   onClick,
+  disabled = false, // Default to false
 }: CameraFeatureToggleProps) {
   const content = (
     <div
-      onClick={onClick}
+      onClick={disabled ? undefined : onClick}
       className={cn(
-        className,
         "flex flex-col items-center justify-center",
-        variants[variant][isActive ? "active" : "inactive"],
+        disabled
+          ? variants[variant].disabled
+          : variants[variant][isActive ? "active" : "inactive"],
+        className,
       )}
     >
       <Icon
-        className={`size-5 md:m-[6px] ${isActive ? "text-white" : "text-secondary-foreground"}`}
+        className={cn(
+          "size-5 md:m-[6px]",
+          disabled
+            ? "text-gray-400"
+            : isActive
+              ? "text-white"
+              : "text-secondary-foreground",
+        )}
       />
     </div>
   );
@@ -54,7 +69,7 @@ export default function CameraFeatureToggle({
   if (isDesktop) {
     return (
       <Tooltip>
-        <TooltipTrigger>{content}</TooltipTrigger>
+        <TooltipTrigger disabled={disabled}>{content}</TooltipTrigger>
         <TooltipContent side="bottom">
           <p>{title}</p>
         </TooltipContent>
diff --git a/web/src/components/dynamic/EnhancedScrollFollow.tsx b/web/src/components/dynamic/EnhancedScrollFollow.tsx
new file mode 100644
index 000000000..35673c80e
--- /dev/null
+++ b/web/src/components/dynamic/EnhancedScrollFollow.tsx
@@ -0,0 +1,91 @@
+import { useRef, useCallback, useEffect, type ReactNode } from "react";
+import { ScrollFollow } from "@melloware/react-logviewer";
+
+export type ScrollFollowProps = {
+  startFollowing?: boolean;
+  render: (renderProps: ScrollFollowRenderProps) => ReactNode;
+  onCustomScroll?: (
+    scrollTop: number,
+    scrollHeight: number,
+    clientHeight: number,
+  ) => void;
+};
+
+export type ScrollFollowRenderProps = {
+  follow: boolean;
+  onScroll: (args: {
+    scrollTop: number;
+    scrollHeight: number;
+    clientHeight: number;
+  }) => void;
+  startFollowing: () => void;
+  stopFollowing: () => void;
+  onCustomScroll?: (
+    scrollTop: number,
+    scrollHeight: number,
+    clientHeight: number,
+  ) => void;
+};
+
+const SCROLL_BUFFER = 5;
+
+export default function EnhancedScrollFollow(props: ScrollFollowProps) {
+  const followRef = useRef(props.startFollowing || false);
+  const prevScrollTopRef = useRef<number | undefined>(undefined);
+
+  useEffect(() => {
+    prevScrollTopRef.current = undefined;
+  }, []);
+
+  const wrappedRender = useCallback(
+    (renderProps: ScrollFollowRenderProps) => {
+      const wrappedOnScroll = (args: {
+        scrollTop: number;
+        scrollHeight: number;
+        clientHeight: number;
+      }) => {
+        // Check if scrolling up and immediately stop following
+        if (
+          prevScrollTopRef.current !== undefined &&
+          args.scrollTop < prevScrollTopRef.current
+        ) {
+          if (followRef.current) {
+            renderProps.stopFollowing();
+            followRef.current = false;
+          }
+        }
+
+        const bottomThreshold =
+          args.scrollHeight - args.clientHeight - SCROLL_BUFFER;
+        const isNearBottom = args.scrollTop >= bottomThreshold;
+
+        if (isNearBottom && !followRef.current) {
+          renderProps.startFollowing();
+          followRef.current = true;
+        } else if (!isNearBottom && followRef.current) {
+          renderProps.stopFollowing();
+          followRef.current = false;
+        }
+
+        prevScrollTopRef.current = args.scrollTop;
+        renderProps.onScroll(args);
+        if (props.onCustomScroll) {
+          props.onCustomScroll(
+            args.scrollTop,
+            args.scrollHeight,
+            args.clientHeight,
+          );
+        }
+      };
+
+      return props.render({
+        ...renderProps,
+        onScroll: wrappedOnScroll,
+        follow: followRef.current,
+      });
+    },
+    [props],
+  );
+
+  return <ScrollFollow {...props} render={wrappedRender} />;
+}
diff --git a/web/src/components/dynamic/NewReviewData.tsx b/web/src/components/dynamic/NewReviewData.tsx
index cc295d79d..b0fd747b7 100644
--- a/web/src/components/dynamic/NewReviewData.tsx
+++ b/web/src/components/dynamic/NewReviewData.tsx
@@ -3,6 +3,7 @@ import { Button } from "../ui/button";
 import { LuRefreshCcw } from "react-icons/lu";
 import { MutableRefObject, useMemo } from "react";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type NewReviewDataProps = {
   className: string;
@@ -18,6 +19,7 @@ export default function NewReviewData({
   itemsToReview,
   pullLatestData,
 }: NewReviewDataProps) {
+  const { t } = useTranslation(["views/events"]);
   const hasUpdate = useMemo(() => {
     if (!reviewItems || !itemsToReview) {
       return false;
@@ -28,15 +30,15 @@ export default function NewReviewData({
 
   return (
     <div className={className}>
-      <div className="pointer-events-auto mr-[65px] flex items-center justify-center md:mr-[115px]">
+      <div className="pointer-events-auto mr-[65px] mt-8 flex items-center justify-center md:mr-[115px]">
         <Button
           className={cn(
             hasUpdate
               ? "duration-500 animate-in slide-in-from-top"
               : "invisible",
-            "mx-auto mt-5 bg-gray-400 text-center text-white",
+            "mx-auto bg-gray-400 text-center text-white",
           )}
-          aria-label="View new review items"
+          aria-label={t("newReviewItems.label")}
           onClick={() => {
             pullLatestData();
             if (contentRef.current) {
@@ -48,7 +50,7 @@ export default function NewReviewData({
           }}
         >
           <LuRefreshCcw className="mr-2 h-4 w-4" />
-          New Items To Review
+          {t("newReviewItems.button")}
         </Button>
       </div>
     </div>
diff --git a/web/src/components/dynamic/TimeAgo.tsx b/web/src/components/dynamic/TimeAgo.tsx
index 13892180e..15731470a 100644
--- a/web/src/components/dynamic/TimeAgo.tsx
+++ b/web/src/components/dynamic/TimeAgo.tsx
@@ -1,3 +1,4 @@
+import { t } from "i18next";
 import { FunctionComponent, useEffect, useMemo, useState } from "react";
 
 interface IProp {
@@ -40,7 +41,7 @@ const timeAgo = ({
 
   const elapsed: number = elapsedTime / 1000;
   if (elapsed < 10) {
-    return "just now";
+    return t("time.justNow", { ns: "common" });
   }
 
   for (let i = 0; i < timeUnits.length; i++) {
@@ -64,11 +65,21 @@ const timeAgo = ({
 
       if (monthDiff > 0) {
         const unitAmount = monthDiff;
-        return `${unitAmount}${dense ? timeUnits[i].unit : ` ${timeUnits[i].full}`}${dense ? "" : "s"} ago`;
+        return t("time.ago", {
+          ns: "common",
+          timeAgo: t(`time.${dense ? timeUnits[i].unit : timeUnits[i].full}`, {
+            time: unitAmount,
+          }),
+        });
       }
     } else if (elapsed >= timeUnits[i].value) {
       const unitAmount: number = Math.floor(elapsed / timeUnits[i].value);
-      return `${unitAmount}${dense ? timeUnits[i].unit : ` ${timeUnits[i].full}`}${dense ? "" : "s"} ago`;
+      return t("time.ago", {
+        ns: "common",
+        timeAgo: t(`time.${dense ? timeUnits[i].unit : timeUnits[i].full}`, {
+          time: unitAmount,
+        }),
+      });
     }
   }
   return "Invalid Time";
diff --git a/web/src/components/filter/CalendarFilterButton.tsx b/web/src/components/filter/CalendarFilterButton.tsx
index efc990294..876eb9ab0 100644
--- a/web/src/components/filter/CalendarFilterButton.tsx
+++ b/web/src/components/filter/CalendarFilterButton.tsx
@@ -1,8 +1,9 @@
 import {
   useFormattedRange,
   useFormattedTimestamp,
+  useTimezone,
 } from "@/hooks/use-date-utils";
-import { ReviewSummary } from "@/types/review";
+import { RecordingsSummary, ReviewSummary } from "@/types/review";
 import { Button } from "../ui/button";
 import { FaCalendarAlt } from "react-icons/fa";
 import ReviewActivityCalendar from "../overlay/ReviewActivityCalendar";
@@ -14,27 +15,35 @@ import { DateRangePicker } from "../ui/calendar-range";
 import { DateRange } from "react-day-picker";
 import { useState } from "react";
 import PlatformAwareDialog from "../overlay/dialog/PlatformAwareDialog";
+import { useTranslation } from "react-i18next";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
 
 type CalendarFilterButtonProps = {
   reviewSummary?: ReviewSummary;
+  recordingsSummary?: RecordingsSummary;
   day?: Date;
   updateSelectedDay: (day?: Date) => void;
 };
 export default function CalendarFilterButton({
   reviewSummary,
+  recordingsSummary,
   day,
   updateSelectedDay,
 }: CalendarFilterButtonProps) {
+  const { t } = useTranslation(["components/filter", "views/events"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
   const [open, setOpen] = useState(false);
   const selectedDate = useFormattedTimestamp(
     day == undefined ? 0 : day?.getTime() / 1000 + 1,
-    "%b %-d",
+    t("time.formattedTimestampMonthDay", { ns: "common" }),
+    config?.ui.timezone,
   );
 
   const trigger = (
     <Button
       className="flex items-center gap-2"
-      aria-label="Select a date to filter by"
+      aria-label={t("explore.date.selectDateBy.label")}
       variant={day == undefined ? "default" : "select"}
       size="sm"
     >
@@ -44,7 +53,9 @@ export default function CalendarFilterButton({
       <div
         className={`hidden md:block ${day == undefined ? "text-primary" : "text-selected-foreground"}`}
       >
-        {day == undefined ? "Last 24 Hours" : selectedDate}
+        {day == undefined
+          ? t("calendarFilter.last24Hours", { ns: "views/events" })
+          : selectedDate}
       </div>
     </Button>
   );
@@ -52,18 +63,19 @@ export default function CalendarFilterButton({
     <>
       <ReviewActivityCalendar
         reviewSummary={reviewSummary}
+        recordingsSummary={recordingsSummary}
         selectedDay={day}
         onSelect={updateSelectedDay}
       />
       <DropdownMenuSeparator />
       <div className="flex items-center justify-center p-2">
         <Button
-          aria-label="Reset"
+          aria-label={t("button.reset", { ns: "common" })}
           onClick={() => {
             updateSelectedDay(undefined);
           }}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </>
@@ -90,18 +102,22 @@ export function CalendarRangeFilterButton({
   defaultText,
   updateSelectedRange,
 }: CalendarRangeFilterButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const timezone = useTimezone(config);
   const [open, setOpen] = useState(false);
 
   const selectedDate = useFormattedRange(
     range?.from == undefined ? 0 : range.from.getTime() / 1000 + 1,
     range?.to == undefined ? 0 : range.to.getTime() / 1000 - 1,
-    "%b %-d",
+    t("time.formattedTimestampMonthDay", { ns: "common" }),
+    config?.ui.timezone,
   );
 
   const trigger = (
     <Button
       className="flex items-center gap-2"
-      aria-label="Select a date to filter by"
+      aria-label={t("explore.date.selectDateBy.label")}
       variant={range == undefined ? "default" : "select"}
       size="sm"
     >
@@ -120,6 +136,7 @@ export function CalendarRangeFilterButton({
       <DateRangePicker
         initialDateFrom={range?.from}
         initialDateTo={range?.to}
+        timezone={timezone}
         showCompare={false}
         onUpdate={(range) => {
           updateSelectedRange(range.range);
diff --git a/web/src/components/filter/CameraGroupSelector.tsx b/web/src/components/filter/CameraGroupSelector.tsx
index f99afcb83..6d9ea7856 100644
--- a/web/src/components/filter/CameraGroupSelector.tsx
+++ b/web/src/components/filter/CameraGroupSelector.tsx
@@ -1,4 +1,9 @@
-import { CameraGroupConfig, FrigateConfig } from "@/types/frigateConfig";
+import {
+  AllGroupsStreamingSettings,
+  CameraGroupConfig,
+  FrigateConfig,
+  GroupStreamingSettings,
+} from "@/types/frigateConfig";
 import { isDesktop, isMobile } from "react-device-detect";
 import useSWR from "swr";
 import { MdHome } from "react-icons/md";
@@ -43,7 +48,6 @@ import {
   AlertDialogTitle,
 } from "../ui/alert-dialog";
 import axios from "axios";
-import FilterSwitch from "./FilterSwitch";
 import { HiOutlineDotsVertical, HiTrash } from "react-icons/hi";
 import IconWrapper from "../ui/icon-wrapper";
 import { zodResolver } from "@hookform/resolvers/zod";
@@ -67,10 +71,19 @@ import {
   MobilePageTitle,
 } from "../mobile/MobilePage";
 
+import { Label } from "../ui/label";
+import { Switch } from "../ui/switch";
+import { CameraStreamingDialog } from "../settings/CameraStreamingDialog";
+import { DialogTrigger } from "@radix-ui/react-dialog";
+import { useStreamingSettings } from "@/context/streaming-settings-provider";
+import { Trans, useTranslation } from "react-i18next";
+
 type CameraGroupSelectorProps = {
   className?: string;
 };
+
 export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
+  const { t } = useTranslation(["components/camera"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // tooltip
@@ -141,7 +154,7 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
                     ? "bg-blue-900 bg-opacity-60 text-selected focus:bg-blue-900 focus:bg-opacity-60"
                     : "bg-secondary text-secondary-foreground focus:bg-secondary focus:text-secondary-foreground"
                 }
-                aria-label="All Cameras"
+                aria-label={t("menu.live.allCameras", { ns: "common" })}
                 size="xs"
                 onClick={() => (group ? setGroup("default", true) : null)}
                 onMouseEnter={() => (isDesktop ? showTooltip("default") : null)}
@@ -151,8 +164,8 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
               </Button>
             </TooltipTrigger>
             <TooltipPortal>
-              <TooltipContent className="capitalize" side="right">
-                All Cameras
+              <TooltipContent className="" side="right">
+                {t("menu.live.allCameras", { ns: "common" })}
               </TooltipContent>
             </TooltipPortal>
           </Tooltip>
@@ -166,7 +179,7 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
                         ? "bg-blue-900 bg-opacity-60 text-selected focus:bg-blue-900 focus:bg-opacity-60"
                         : "bg-secondary text-secondary-foreground"
                     }
-                    aria-label="Camera Group"
+                    aria-label={t("group.label")}
                     size="xs"
                     onClick={() => setGroup(name, group != "default")}
                     onMouseEnter={() => (isDesktop ? showTooltip(name) : null)}
@@ -183,7 +196,7 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
                   </Button>
                 </TooltipTrigger>
                 <TooltipPortal>
-                  <TooltipContent className="capitalize" side="right">
+                  <TooltipContent className="smart-capitalize" side="right">
                     {name}
                   </TooltipContent>
                 </TooltipPortal>
@@ -193,7 +206,7 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
 
           <Button
             className="bg-secondary text-muted-foreground"
-            aria-label="Add camera group"
+            aria-label={t("group.add")}
             size="xs"
             onClick={() => setAddGroup(true)}
           >
@@ -222,6 +235,7 @@ function NewGroupDialog({
   setGroup,
   deleteGroup,
 }: NewGroupDialogProps) {
+  const { t } = useTranslation(["components/camera"]);
   const { mutate: updateConfig } = useSWR<FrigateConfig>("config");
 
   // editing group and state
@@ -264,17 +278,29 @@ function NewGroupDialog({
           } else {
             setOpen(false);
             setEditState("none");
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
           setOpen(false);
           setEditState("none");
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", { errorMessage, ns: "common" }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
@@ -288,6 +314,7 @@ function NewGroupDialog({
       setOpen,
       deleteGroup,
       deleteGridLayout,
+      t,
     ],
   );
 
@@ -340,10 +367,8 @@ function NewGroupDialog({
                 className={cn(isDesktop && "mt-5", "justify-center")}
                 onClose={() => setOpen(false)}
               >
-                <Title>Camera Groups</Title>
-                <Description className="sr-only">
-                  Edit camera groups
-                </Description>
+                <Title>{t("group.label")}</Title>
+                <Description className="sr-only">{t("group.edit")}</Description>
                 <div
                   className={cn(
                     "absolute",
@@ -358,7 +383,7 @@ function NewGroupDialog({
                         "size-6 rounded-md bg-secondary-foreground p-1 text-background",
                       isMobile && "text-secondary-foreground",
                     )}
-                    aria-label="Add camera group"
+                    aria-label={t("group.add")}
                     onClick={() => {
                       setEditState("add");
                     }}
@@ -390,11 +415,9 @@ function NewGroupDialog({
                 }}
               >
                 <Title>
-                  {editState == "add" ? "Add" : "Edit"} Camera Group
+                  {editState == "add" ? t("group.add") : t("group.edit")}
                 </Title>
-                <Description className="sr-only">
-                  Edit camera groups
-                </Description>
+                <Description className="sr-only">{t("group.edit")}</Description>
               </Header>
               <CameraGroupEdit
                 currentGroups={currentGroups}
@@ -424,6 +447,7 @@ export function EditGroupDialog({
   currentGroups,
   activeGroup,
 }: EditGroupDialogProps) {
+  const { t } = useTranslation(["components/camera"]);
   const Overlay = isDesktop ? Dialog : MobilePage;
   const Content = isDesktop ? DialogContent : MobilePageContent;
   const Header = isDesktop ? DialogHeader : MobilePageHeader;
@@ -463,8 +487,8 @@ export function EditGroupDialog({
         >
           <div className="scrollbar-container flex flex-col overflow-y-auto md:my-4">
             <Header className="mt-2" onClose={() => setOpen(false)}>
-              <Title>Edit Camera Group</Title>
-              <Description className="sr-only">Edit camera group</Description>
+              <Title>{t("group.edit")}</Title>
+              <Description className="sr-only">{t("group.edit")}</Description>
             </Header>
 
             <CameraGroupEdit
@@ -493,6 +517,7 @@ export function CameraGroupRow({
   onDeleteGroup,
   onEditGroup,
 }: CameraGroupRowProps) {
+  const { t } = useTranslation(["components/camera"]);
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
 
   if (!group) {
@@ -514,19 +539,24 @@ export function CameraGroupRow({
         >
           <AlertDialogContent>
             <AlertDialogHeader>
-              <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+              <AlertDialogTitle>
+                {t("group.delete.confirm.title")}
+              </AlertDialogTitle>
             </AlertDialogHeader>
             <AlertDialogDescription>
-              Are you sure you want to delete the camera group{" "}
-              <em>{group[0]}</em>?
+              <Trans ns="components/camera" values={{ name: group[0] }}>
+                group.delete.confirm.desc
+              </Trans>
             </AlertDialogDescription>
             <AlertDialogFooter>
-              <AlertDialogCancel>Cancel</AlertDialogCancel>
+              <AlertDialogCancel>
+                {t("button.cancel", { ns: "common" })}
+              </AlertDialogCancel>
               <AlertDialogAction
                 className={buttonVariants({ variant: "destructive" })}
                 onClick={onDeleteGroup}
               >
-                Delete
+                {t("button.delete", { ns: "common" })}
               </AlertDialogAction>
             </AlertDialogFooter>
           </AlertDialogContent>
@@ -541,16 +571,16 @@ export function CameraGroupRow({
               <DropdownMenuPortal>
                 <DropdownMenuContent>
                   <DropdownMenuItem
-                    aria-label="Edit group"
+                    aria-label={t("group.edit")}
                     onClick={onEditGroup}
                   >
-                    Edit
+                    {t("button.edit", { ns: "common" })}
                   </DropdownMenuItem>
                   <DropdownMenuItem
-                    aria-label="Delete group"
+                    aria-label={t("group.delete.label")}
                     onClick={() => setDeleteDialogOpen(true)}
                   >
-                    Delete
+                    {t("button.delete", { ns: "common" })}
                   </DropdownMenuItem>
                 </DropdownMenuContent>
               </DropdownMenuPortal>
@@ -567,7 +597,9 @@ export function CameraGroupRow({
                   onClick={onEditGroup}
                 />
               </TooltipTrigger>
-              <TooltipContent>Edit</TooltipContent>
+              <TooltipContent>
+                {t("button.edit", { ns: "common" })}
+              </TooltipContent>
             </Tooltip>
 
             <Tooltip>
@@ -578,7 +610,9 @@ export function CameraGroupRow({
                   onClick={() => setDeleteDialogOpen(true)}
                 />
               </TooltipTrigger>
-              <TooltipContent>Delete</TooltipContent>
+              <TooltipContent>
+                {t("button.delete", { ns: "common" })}
+              </TooltipContent>
             </Tooltip>
           </div>
         )}
@@ -604,18 +638,30 @@ export function CameraGroupEdit({
   onSave,
   onCancel,
 }: CameraGroupEditProps) {
+  const { t } = useTranslation(["components/camera"]);
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
+  const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
+    useStreamingSettings();
+
+  const [groupStreamingSettings, setGroupStreamingSettings] =
+    useState<GroupStreamingSettings>(
+      allGroupsStreamingSettings[editingGroup?.[0] ?? ""],
+    );
+
+  const [openCamera, setOpenCamera] = useState<string | null>();
+
   const birdseyeConfig = useMemo(() => config?.birdseye, [config]);
 
   const formSchema = z.object({
     name: z
       .string()
+      .trim()
       .min(2, {
-        message: "Camera group name must be at least 2 characters.",
+        message: t("group.name.errorMessage.mustLeastCharacters"),
       })
-      .transform((val: string) => val.trim().replace(/\s+/g, "_"))
+      .transform((val: string) => val.replace(/\s+/g, "_"))
       .refine(
         (value: string) => {
           return (
@@ -624,7 +670,7 @@ export function CameraGroupEdit({
           );
         },
         {
-          message: "Camera group name already exists.",
+          message: t("group.name.errorMessage.exists"),
         },
       )
       .refine(
@@ -632,11 +678,11 @@ export function CameraGroupEdit({
           return !value.includes(".");
         },
         {
-          message: "Camera group name must not contain a period.",
+          message: t("group.name.errorMessage.nameMustNotPeriod"),
         },
       )
       .refine((value: string) => value.toLowerCase() !== "default", {
-        message: "Invalid camera group name.",
+        message: t("group.name.errorMessage.invalid"),
       }),
 
     cameras: z.array(z.string()),
@@ -656,6 +702,16 @@ export function CameraGroupEdit({
 
       setIsLoading(true);
 
+      // update streaming settings
+      const updatedSettings: AllGroupsStreamingSettings = {
+        ...Object.fromEntries(
+          Object.entries(allGroupsStreamingSettings || {}).filter(
+            ([key]) => key !== editingGroup?.[0],
+          ),
+        ),
+        [values.name]: groupStreamingSettings,
+      };
+
       let renamingQuery = "";
       if (editingGroup && editingGroup[0] !== values.name) {
         renamingQuery = `camera_groups.${editingGroup[0]}&`;
@@ -679,24 +735,43 @@ export function CameraGroupEdit({
             requires_restart: 0,
           },
         )
-        .then((res) => {
+        .then(async (res) => {
           if (res.status === 200) {
-            toast.success(`Camera group (${values.name}) has been saved.`, {
-              position: "top-center",
-            });
+            toast.success(
+              t("group.success", {
+                name: values.name,
+              }),
+              {
+                position: "top-center",
+              },
+            );
             updateConfig();
             if (onSave) {
               onSave();
             }
+            setAllGroupsStreamingSettings(updatedSettings);
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
             { position: "top-center" },
           );
         })
@@ -704,7 +779,17 @@ export function CameraGroupEdit({
           setIsLoading(false);
         });
     },
-    [currentGroups, setIsLoading, onSave, updateConfig, editingGroup],
+    [
+      currentGroups,
+      setIsLoading,
+      onSave,
+      updateConfig,
+      editingGroup,
+      groupStreamingSettings,
+      allGroupsStreamingSettings,
+      setAllGroupsStreamingSettings,
+      t,
+    ],
   );
 
   const form = useForm<z.infer<typeof formSchema>>({
@@ -728,11 +813,11 @@ export function CameraGroupEdit({
           name="name"
           render={({ field }) => (
             <FormItem>
-              <FormLabel>Name</FormLabel>
+              <FormLabel>{t("group.name.label")}</FormLabel>
               <FormControl>
                 <Input
                   className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-                  placeholder="Enter a name..."
+                  placeholder={t("group.name.placeholder")}
                   {...field}
                 />
               </FormControl>
@@ -748,10 +833,8 @@ export function CameraGroupEdit({
             name="cameras"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Cameras</FormLabel>
-                <FormDescription>
-                  Select cameras for this group.
-                </FormDescription>
+                <FormLabel>{t("group.cameras.label")}</FormLabel>
+                <FormDescription>{t("group.cameras.desc")}</FormDescription>
                 <FormMessage />
                 {[
                   ...(birdseyeConfig?.enabled ? ["birdseye"] : []),
@@ -762,16 +845,66 @@ export function CameraGroupEdit({
                   ),
                 ].map((camera) => (
                   <FormControl key={camera}>
-                    <FilterSwitch
-                      isChecked={field.value && field.value.includes(camera)}
-                      label={camera.replaceAll("_", " ")}
-                      onCheckedChange={(checked) => {
-                        const updatedCameras = checked
-                          ? [...(field.value || []), camera]
-                          : (field.value || []).filter((c) => c !== camera);
-                        form.setValue("cameras", updatedCameras);
-                      }}
-                    />
+                    <div className="flex items-center justify-between gap-1">
+                      <Label
+                        className="mx-2 w-full cursor-pointer text-primary smart-capitalize"
+                        htmlFor={camera.replaceAll("_", " ")}
+                      >
+                        {camera.replaceAll("_", " ")}
+                      </Label>
+
+                      <div className="flex items-center gap-x-2">
+                        {camera !== "birdseye" && (
+                          <Dialog
+                            open={openCamera === camera}
+                            onOpenChange={(isOpen) =>
+                              setOpenCamera(isOpen ? camera : null)
+                            }
+                          >
+                            <DialogTrigger asChild>
+                              <Button
+                                className="flex h-auto items-center gap-1"
+                                aria-label={t("group.camera.setting.label")}
+                                size="icon"
+                                variant="ghost"
+                                disabled={
+                                  !(field.value && field.value.includes(camera))
+                                }
+                              >
+                                <LuIcons.LuSettings
+                                  className={cn(
+                                    field.value && field.value.includes(camera)
+                                      ? "text-primary"
+                                      : "text-muted-foreground",
+                                    "size-5",
+                                  )}
+                                />
+                              </Button>
+                            </DialogTrigger>
+                            <CameraStreamingDialog
+                              camera={camera}
+                              groupStreamingSettings={groupStreamingSettings}
+                              setGroupStreamingSettings={
+                                setGroupStreamingSettings
+                              }
+                              setIsDialogOpen={(isOpen) =>
+                                setOpenCamera(isOpen ? camera : null)
+                              }
+                            />
+                          </Dialog>
+                        )}
+                        <Switch
+                          id={camera.replaceAll("_", " ")}
+                          checked={field.value && field.value.includes(camera)}
+                          onCheckedChange={(checked) => {
+                            const updatedCameras = checked
+                              ? [...(field.value || []), camera]
+                              : (field.value || []).filter((c) => c !== camera);
+                            form.setValue("cameras", updatedCameras);
+                          }}
+                        />
+                      </div>
+                    </div>
                   </FormControl>
                 ))}
               </FormItem>
@@ -785,7 +918,7 @@ export function CameraGroupEdit({
           name="icon"
           render={({ field }) => (
             <FormItem className="flex flex-col space-y-2">
-              <FormLabel>Icon</FormLabel>
+              <FormLabel>{t("group.icon")}</FormLabel>
               <FormControl>
                 <IconPicker
                   selectedIcon={{
@@ -810,25 +943,25 @@ export function CameraGroupEdit({
           <Button
             type="button"
             className="flex flex-1"
-            aria-label="Cancel"
+            aria-label={t("button.cancel", { ns: "common" })}
             onClick={onCancel}
           >
-            Cancel
+            {t("button.cancel", { ns: "common" })}
           </Button>
           <Button
             variant="select"
             disabled={isLoading}
             className="flex flex-1"
-            aria-label="Save"
+            aria-label={t("button.save", { ns: "common" })}
             type="submit"
           >
             {isLoading ? (
               <div className="flex flex-row items-center gap-2">
                 <ActivityIndicator />
-                <span>Saving...</span>
+                <span>{t("button.saving", { ns: "common" })}</span>
               </div>
             ) : (
-              "Save"
+              t("button.save", { ns: "common" })
             )}
           </Button>
         </div>
diff --git a/web/src/components/filter/CamerasFilterButton.tsx b/web/src/components/filter/CamerasFilterButton.tsx
index c584dc09d..247555a0a 100644
--- a/web/src/components/filter/CamerasFilterButton.tsx
+++ b/web/src/components/filter/CamerasFilterButton.tsx
@@ -12,12 +12,14 @@ import { isMobile } from "react-device-detect";
 import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
 import FilterSwitch from "./FilterSwitch";
 import { FaVideo } from "react-icons/fa";
+import { useTranslation } from "react-i18next";
 
 type CameraFilterButtonProps = {
   allCameras: string[];
   groups: [string, CameraGroupConfig][];
   selectedCameras: string[] | undefined;
   hideText?: boolean;
+  mainCamera?: string;
   updateCameraFilter: (cameras: string[] | undefined) => void;
 };
 export function CamerasFilterButton({
@@ -25,8 +27,10 @@ export function CamerasFilterButton({
   groups,
   selectedCameras,
   hideText = isMobile,
+  mainCamera,
   updateCameraFilter,
 }: CameraFilterButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [open, setOpen] = useState(false);
   const [currentCameras, setCurrentCameras] = useState<string[] | undefined>(
     selectedCameras,
@@ -34,15 +38,19 @@ export function CamerasFilterButton({
 
   const buttonText = useMemo(() => {
     if (isMobile) {
-      return "Cameras";
+      return t("menu.live.cameras.title", { ns: "common" });
     }
 
     if (!selectedCameras || selectedCameras.length == 0) {
-      return "All Cameras";
+      return t("menu.live.allCameras", { ns: "common" });
     }
-
-    return `${selectedCameras.includes("birdseye") ? selectedCameras.length - 1 : selectedCameras.length} Camera${selectedCameras.length !== 1 ? "s" : ""}`;
-  }, [selectedCameras]);
+    return t("menu.live.cameras.count", {
+      ns: "common",
+      count: selectedCameras.includes("birdseye")
+        ? selectedCameras.length - 1
+        : selectedCameras.length,
+    });
+  }, [selectedCameras, t]);
 
   // ui
 
@@ -54,8 +62,8 @@ export function CamerasFilterButton({
 
   const trigger = (
     <Button
-      className="flex items-center gap-2 capitalize"
-      aria-label="Cameras Filter"
+      className="flex items-center gap-2 smart-capitalize"
+      aria-label={t("cameras.label")}
       variant={selectedCameras?.length == undefined ? "default" : "select"}
       size="sm"
     >
@@ -74,6 +82,7 @@ export function CamerasFilterButton({
       allCameras={allCameras}
       groups={groups}
       currentCameras={currentCameras}
+      mainCamera={mainCamera}
       setCurrentCameras={setCurrentCameras}
       setOpen={setOpen}
       updateCameraFilter={updateCameraFilter}
@@ -120,6 +129,7 @@ export function CamerasFilterButton({
 type CamerasFilterContentProps = {
   allCameras: string[];
   currentCameras: string[] | undefined;
+  mainCamera?: string;
   groups: [string, CameraGroupConfig][];
   setCurrentCameras: (cameras: string[] | undefined) => void;
   setOpen: (open: boolean) => void;
@@ -128,17 +138,19 @@ type CamerasFilterContentProps = {
 export function CamerasFilterContent({
   allCameras,
   currentCameras,
+  mainCamera,
   groups,
   setCurrentCameras,
   setOpen,
   updateCameraFilter,
 }: CamerasFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       {isMobile && (
         <>
           <DropdownMenuLabel className="flex justify-center">
-            Cameras
+            {t("cameras.all.short")}
           </DropdownMenuLabel>
           <DropdownMenuSeparator />
         </>
@@ -146,7 +158,7 @@ export function CamerasFilterContent({
       <div className="scrollbar-container flex h-auto max-h-[80dvh] flex-col gap-2 overflow-y-auto overflow-x-hidden p-4">
         <FilterSwitch
           isChecked={currentCameras == undefined}
-          label="All Cameras"
+          label={t("cameras.all.title")}
           onCheckedChange={(isChecked) => {
             if (isChecked) {
               setCurrentCameras(undefined);
@@ -160,7 +172,7 @@ export function CamerasFilterContent({
               return (
                 <div
                   key={name}
-                  className="w-full cursor-pointer rounded-lg px-2 py-0.5 text-sm capitalize text-primary hover:bg-muted"
+                  className="w-full cursor-pointer rounded-lg px-2 py-0.5 text-sm text-primary smart-capitalize hover:bg-muted"
                   onClick={() => {
                     setCurrentCameras([...conf.cameras]);
                   }}
@@ -178,12 +190,29 @@ export function CamerasFilterContent({
               key={item}
               isChecked={currentCameras?.includes(item) ?? false}
               label={item.replaceAll("_", " ")}
+              disabled={
+                mainCamera !== undefined &&
+                currentCameras !== undefined &&
+                item === mainCamera
+              } // Disable only if mainCamera exists and cameras are filtered
               onCheckedChange={(isChecked) => {
+                if (
+                  mainCamera !== undefined && // Only enforce if mainCamera is defined
+                  item === mainCamera &&
+                  !isChecked &&
+                  currentCameras !== undefined
+                ) {
+                  return; // Prevent deselecting mainCamera when filtered and mainCamera is defined
+                }
                 if (isChecked) {
                   const updatedCameras = currentCameras
                     ? [...currentCameras]
-                    : [];
-                  updatedCameras.push(item);
+                    : mainCamera !== undefined && item !== mainCamera // If mainCamera exists and this isn’t it
+                      ? [mainCamera] // Start with mainCamera when transitioning from undefined
+                      : []; // Otherwise start empty
+                  if (!updatedCameras.includes(item)) {
+                    updatedCameras.push(item);
+                  }
                   setCurrentCameras(updatedCameras);
                 } else {
                   const updatedCameras = currentCameras
@@ -203,7 +232,7 @@ export function CamerasFilterContent({
       <DropdownMenuSeparator />
       <div className="flex items-center justify-evenly p-2">
         <Button
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           variant="select"
           disabled={currentCameras?.length === 0}
           onClick={() => {
@@ -211,16 +240,16 @@ export function CamerasFilterContent({
             setOpen(false);
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
         <Button
-          aria-label="Reset"
+          aria-label={t("button.reset", { ns: "common" })}
           onClick={() => {
             setCurrentCameras(undefined);
             updateCameraFilter(undefined);
           }}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </>
diff --git a/web/src/components/filter/FilterSwitch.tsx b/web/src/components/filter/FilterSwitch.tsx
index fa5c7d34a..f2dc8eeef 100644
--- a/web/src/components/filter/FilterSwitch.tsx
+++ b/web/src/components/filter/FilterSwitch.tsx
@@ -16,7 +16,7 @@ export default function FilterSwitch({
   return (
     <div className="flex items-center justify-between gap-1">
       <Label
-        className={`mx-2 w-full cursor-pointer capitalize text-primary ${disabled ? "text-secondary-foreground" : ""}`}
+        className={`mx-2 w-full cursor-pointer text-primary smart-capitalize ${disabled ? "text-secondary-foreground" : ""}`}
         htmlFor={label}
       >
         {label}
diff --git a/web/src/components/filter/LogLevelFilter.tsx b/web/src/components/filter/LogSettingsButton.tsx
similarity index 59%
rename from web/src/components/filter/LogLevelFilter.tsx
rename to web/src/components/filter/LogSettingsButton.tsx
index 9f08c51b5..024f04c21 100644
--- a/web/src/components/filter/LogLevelFilter.tsx
+++ b/web/src/components/filter/LogSettingsButton.tsx
@@ -1,36 +1,76 @@
 import { Button } from "../ui/button";
-import { FaFilter } from "react-icons/fa";
+import { FaCog } from "react-icons/fa";
 import { isMobile } from "react-device-detect";
 import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
 import { Popover, PopoverContent, PopoverTrigger } from "../ui/popover";
-import { LogSeverity } from "@/types/log";
+import { LogSettingsType, LogSeverity } from "@/types/log";
 import { Label } from "../ui/label";
 import { Switch } from "../ui/switch";
 import { DropdownMenuSeparator } from "../ui/dropdown-menu";
+import { cn } from "@/lib/utils";
+import FilterSwitch from "./FilterSwitch";
+import { useTranslation } from "react-i18next";
 
-type LogLevelFilterButtonProps = {
+type LogSettingsButtonProps = {
   selectedLabels?: LogSeverity[];
   updateLabelFilter: (labels: LogSeverity[] | undefined) => void;
+  logSettings?: LogSettingsType;
+  setLogSettings: (logSettings: LogSettingsType) => void;
 };
-export function LogLevelFilterButton({
+export function LogSettingsButton({
   selectedLabels,
   updateLabelFilter,
-}: LogLevelFilterButtonProps) {
+  logSettings,
+  setLogSettings,
+}: LogSettingsButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const trigger = (
     <Button
       size="sm"
       className="flex items-center gap-2"
-      aria-label="Filter log level"
+      aria-label={t("logSettings.label")}
     >
-      <FaFilter className="text-secondary-foreground" />
-      <div className="hidden text-primary md:block">Filter</div>
+      <FaCog className="text-secondary-foreground" />
+      <div className="hidden text-primary md:block">
+        {t("menu.settings", { ns: "common" })}
+      </div>
     </Button>
   );
   const content = (
-    <GeneralFilterContent
-      selectedLabels={selectedLabels}
-      updateLabelFilter={updateLabelFilter}
-    />
+    <div className={cn("my-3 space-y-3 py-3 md:mt-0 md:py-0")}>
+      <div className="space-y-4">
+        <div className="space-y-0.5">
+          <div className="text-md">{t("filter")}</div>
+          <div className="space-y-1 text-xs text-muted-foreground">
+            {t("logSettings.filterBySeverity")}
+          </div>
+        </div>
+        <GeneralFilterContent
+          selectedLabels={selectedLabels}
+          updateLabelFilter={updateLabelFilter}
+        />
+      </div>
+      <DropdownMenuSeparator />
+      <div className="space-y-4">
+        <div className="space-y-0.5">
+          <div className="text-md">{t("logSettings.loading.title")}</div>
+          <div className="mt-2.5 flex flex-col gap-2.5">
+            <div className="space-y-1 text-xs text-muted-foreground">
+              {t("logSettings.loading.desc")}
+            </div>
+            <FilterSwitch
+              label={t("logSettings.disableLogStreaming")}
+              isChecked={logSettings?.disableStreaming ?? false}
+              onCheckedChange={(isChecked) => {
+                setLogSettings({
+                  disableStreaming: isChecked,
+                });
+              }}
+            />
+          </div>
+        </div>
+      </div>
+    </div>
   );
 
   if (isMobile) {
@@ -60,15 +100,16 @@ export function GeneralFilterContent({
   selectedLabels,
   updateLabelFilter,
 }: GeneralFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       <div className="scrollbar-container h-auto overflow-y-auto overflow-x-hidden">
-        <div className="my-2.5 flex items-center justify-between">
+        <div className="mb-5 flex items-center justify-between">
           <Label
             className="mx-2 cursor-pointer text-primary"
             htmlFor="allLabels"
           >
-            All Logs
+            {t("logSettings.allLogs")}
           </Label>
           <Switch
             className="ml-1"
@@ -81,12 +122,11 @@ export function GeneralFilterContent({
             }}
           />
         </div>
-        <DropdownMenuSeparator />
         <div className="my-2.5 flex flex-col gap-2.5">
           {["debug", "info", "warning", "error"].map((item) => (
-            <div className="flex items-center justify-between">
+            <div className="flex items-center justify-between" key={item}>
               <Label
-                className="mx-2 w-full cursor-pointer capitalize text-primary"
+                className="mx-2 w-full cursor-pointer text-primary smart-capitalize"
                 htmlFor={item}
               >
                 {item.replaceAll("_", " ")}
diff --git a/web/src/components/filter/ReviewActionGroup.tsx b/web/src/components/filter/ReviewActionGroup.tsx
index 833039272..4db8a31c0 100644
--- a/web/src/components/filter/ReviewActionGroup.tsx
+++ b/web/src/components/filter/ReviewActionGroup.tsx
@@ -16,6 +16,8 @@ import {
   AlertDialogTitle,
 } from "../ui/alert-dialog";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
+import { Trans, useTranslation } from "react-i18next";
+import { toast } from "sonner";
 
 type ReviewActionGroupProps = {
   selectedReviews: string[];
@@ -29,6 +31,7 @@ export default function ReviewActionGroup({
   onExport,
   pullLatestData,
 }: ReviewActionGroupProps) {
+  const { t } = useTranslation(["components/dialog"]);
   const onClearSelected = useCallback(() => {
     setSelectedReviews([]);
   }, [setSelectedReviews]);
@@ -39,11 +42,33 @@ export default function ReviewActionGroup({
     pullLatestData();
   }, [selectedReviews, setSelectedReviews, pullLatestData]);
 
-  const onDelete = useCallback(async () => {
-    await axios.post(`reviews/delete`, { ids: selectedReviews });
-    setSelectedReviews([]);
-    pullLatestData();
-  }, [selectedReviews, setSelectedReviews, pullLatestData]);
+  const onDelete = useCallback(() => {
+    axios
+      .post(`reviews/delete`, { ids: selectedReviews })
+      .then((resp) => {
+        if (resp.status === 200) {
+          toast.success(t("recording.confirmDelete.toast.success"), {
+            position: "top-center",
+          });
+          setSelectedReviews([]);
+          pullLatestData();
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("recording.confirmDelete.toast.error", {
+            error: errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
+      });
+  }, [selectedReviews, setSelectedReviews, pullLatestData, t]);
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
   const [bypassDialog, setBypassDialog] = useState(false);
@@ -68,22 +93,24 @@ export default function ReviewActionGroup({
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+            <AlertDialogTitle>
+              {t("recording.confirmDelete.title")}
+            </AlertDialogTitle>
           </AlertDialogHeader>
           <AlertDialogDescription>
-            Are you sure you want to delete all recorded video associated with
-            the selected review items?
-            <br />
-            <br />
-            Hold the <em>Shift</em> key to bypass this dialog in the future.
+            <Trans ns="components/dialog">
+              recording.confirmDelete.desc.selected
+            </Trans>
           </AlertDialogDescription>
           <AlertDialogFooter>
-            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
             <AlertDialogAction
               className={buttonVariants({ variant: "destructive" })}
               onClick={onDelete}
             >
-              Delete
+              {t("button.delete", { ns: "common" })}
             </AlertDialogAction>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -91,20 +118,25 @@ export default function ReviewActionGroup({
 
       <div className="absolute inset-x-2 inset-y-0 flex items-center justify-between gap-2 bg-background py-2 md:left-auto">
         <div className="mx-1 flex items-center justify-center text-sm text-muted-foreground">
-          <div className="p-1">{`${selectedReviews.length} selected`}</div>
+          <div className="p-1">
+            {t("selected", {
+              ns: "views/events",
+              count: selectedReviews.length,
+            })}
+          </div>
           <div className="p-1">{"|"}</div>
           <div
             className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
             onClick={onClearSelected}
           >
-            Unselect
+            {t("button.unselect", { ns: "common" })}
           </div>
         </div>
         <div className="flex items-center gap-1 md:gap-2">
           {selectedReviews.length == 1 && (
             <Button
               className="flex items-center gap-2 p-2"
-              aria-label="Export"
+              aria-label={t("recording.button.export")}
               size="sm"
               onClick={() => {
                 onExport(selectedReviews[0]);
@@ -112,28 +144,38 @@ export default function ReviewActionGroup({
               }}
             >
               <FaCompactDisc className="text-secondary-foreground" />
-              {isDesktop && <div className="text-primary">Export</div>}
+              {isDesktop && (
+                <div className="text-primary">
+                  {t("recording.button.export")}
+                </div>
+              )}
             </Button>
           )}
           <Button
             className="flex items-center gap-2 p-2"
-            aria-label="Mark as reviewed"
+            aria-label={t("recording.button.markAsReviewed")}
             size="sm"
             onClick={onMarkAsReviewed}
           >
             <FaCircleCheck className="text-secondary-foreground" />
-            {isDesktop && <div className="text-primary">Mark as reviewed</div>}
+            {isDesktop && (
+              <div className="text-primary">
+                {t("recording.button.markAsReviewed")}
+              </div>
+            )}
           </Button>
           <Button
             className="flex items-center gap-2 p-2"
-            aria-label="Delete"
+            aria-label={t("button.delete", { ns: "common" })}
             size="sm"
             onClick={handleDelete}
           >
             <HiTrash className="text-secondary-foreground" />
             {isDesktop && (
               <div className="text-primary">
-                {bypassDialog ? "Delete Now" : "Delete"}
+                {bypassDialog
+                  ? t("recording.button.deleteNow")
+                  : t("button.delete", { ns: "common" })}
               </div>
             )}
           </Button>
diff --git a/web/src/components/filter/ReviewFilterGroup.tsx b/web/src/components/filter/ReviewFilterGroup.tsx
index d31596561..f2234b359 100644
--- a/web/src/components/filter/ReviewFilterGroup.tsx
+++ b/web/src/components/filter/ReviewFilterGroup.tsx
@@ -3,7 +3,12 @@ import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { useCallback, useEffect, useMemo, useState } from "react";
 import { DropdownMenuSeparator } from "../ui/dropdown-menu";
-import { ReviewFilter, ReviewSeverity, ReviewSummary } from "@/types/review";
+import {
+  RecordingsSummary,
+  ReviewFilter,
+  ReviewSeverity,
+  ReviewSummary,
+} from "@/types/review";
 import { getEndOfDayTimestamp } from "@/utils/dateUtil";
 import { FaCheckCircle, FaFilter, FaRunning } from "react-icons/fa";
 import { isDesktop, isMobile } from "react-device-detect";
@@ -18,6 +23,8 @@ import { FilterList, GeneralFilter } from "@/types/filter";
 import CalendarFilterButton from "./CalendarFilterButton";
 import { CamerasFilterButton } from "./CamerasFilterButton";
 import PlatformAwareDialog from "../overlay/dialog/PlatformAwareDialog";
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 const REVIEW_FILTERS = [
   "cameras",
@@ -39,10 +46,12 @@ type ReviewFilterGroupProps = {
   filters?: ReviewFilters[];
   currentSeverity?: ReviewSeverity;
   reviewSummary?: ReviewSummary;
+  recordingsSummary?: RecordingsSummary;
   filter?: ReviewFilter;
   motionOnly: boolean;
   filterList?: FilterList;
   showReviewed: boolean;
+  mainCamera?: string;
   setShowReviewed: (show: boolean) => void;
   onUpdateFilter: (filter: ReviewFilter) => void;
   setMotionOnly: React.Dispatch<React.SetStateAction<boolean>>;
@@ -52,10 +61,12 @@ export default function ReviewFilterGroup({
   filters = DEFAULT_REVIEW_FILTERS,
   currentSeverity,
   reviewSummary,
+  recordingsSummary,
   filter,
   motionOnly,
   filterList,
   showReviewed,
+  mainCamera,
   setShowReviewed,
   onUpdateFilter,
   setMotionOnly,
@@ -83,6 +94,10 @@ export default function ReviewFilterGroup({
         labels.add(label);
       });
 
+      if (cameraConfig.type == "lpr") {
+        labels.add("license_plate");
+      }
+
       if (cameraConfig.audio.enabled_in_config) {
         cameraConfig.audio.listen.forEach((label) => {
           labels.add(label);
@@ -178,6 +193,7 @@ export default function ReviewFilterGroup({
           allCameras={filterValues.cameras}
           groups={groups}
           selectedCameras={filter?.cameras}
+          mainCamera={mainCamera}
           updateCameraFilter={(newCameras) => {
             onUpdateFilter({ ...filter, cameras: newCameras });
           }}
@@ -192,6 +208,7 @@ export default function ReviewFilterGroup({
       {isDesktop && filters.includes("date") && (
         <CalendarFilterButton
           reviewSummary={reviewSummary}
+          recordingsSummary={recordingsSummary}
           day={
             filter?.after == undefined
               ? undefined
@@ -225,6 +242,7 @@ export default function ReviewFilterGroup({
           filter={filter}
           currentSeverity={currentSeverity}
           reviewSummary={reviewSummary}
+          recordingsSummary={recordingsSummary}
           allLabels={allLabels}
           allZones={allZones}
           onUpdateFilter={onUpdateFilter}
@@ -251,6 +269,7 @@ function ShowReviewFilter({
   showReviewed,
   setShowReviewed,
 }: ShowReviewedFilterProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [showReviewedSwitch, setShowReviewedSwitch] = useOptimisticState(
     showReviewed,
     setShowReviewed,
@@ -266,13 +285,13 @@ function ShowReviewFilter({
           }
         />
         <Label className="ml-2 cursor-pointer text-primary" htmlFor="reviewed">
-          Show Reviewed
+          {t("review.showReviewed")}
         </Label>
       </div>
 
       <Button
         className="block duration-0 md:hidden"
-        aria-label="Show reviewed"
+        aria-label={t("review.showReviewed")}
         variant={showReviewedSwitch ? "select" : "default"}
         size="sm"
         onClick={() =>
@@ -308,6 +327,7 @@ function GeneralFilterButton({
   selectedZones,
   onUpdateFilter,
 }: GeneralFilterButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [open, setOpen] = useState(false);
   const [currentFilter, setCurrentFilter] = useState<GeneralFilter>({
     labels: selectedLabels,
@@ -335,8 +355,8 @@ function GeneralFilterButton({
       variant={
         selectedLabels?.length || selectedZones?.length ? "select" : "default"
       }
-      className="flex items-center gap-2 capitalize"
-      aria-label="Filter"
+      className="flex items-center gap-2 smart-capitalize"
+      aria-label={t("filter")}
     >
       <FaFilter
         className={`${
@@ -352,7 +372,7 @@ function GeneralFilterButton({
             : "text-primary"
         }`}
       >
-        Filter
+        {t("filter")}
       </div>
     </Button>
   );
@@ -427,13 +447,14 @@ export function GeneralFilterContent({
   onReset,
   onClose,
 }: GeneralFilterContentProps) {
+  const { t } = useTranslation(["components/filter", "views/events"]);
   return (
     <>
       <div className="scrollbar-container h-auto max-h-[80dvh] overflow-y-auto overflow-x-hidden">
         {currentSeverity && (
           <div className="my-2.5 flex flex-col gap-2.5">
             <FilterSwitch
-              label="Alerts"
+              label={t("alerts", { ns: "views/events" })}
               disabled={currentSeverity == "alert"}
               isChecked={
                 currentSeverity == "alert" ? true : filter.showAll === true
@@ -443,7 +464,7 @@ export function GeneralFilterContent({
               }
             />
             <FilterSwitch
-              label="Detections"
+              label={t("detections", { ns: "views/events" })}
               disabled={currentSeverity == "detection"}
               isChecked={
                 currentSeverity == "detection" ? true : filter.showAll === true
@@ -460,7 +481,7 @@ export function GeneralFilterContent({
             className="mx-2 cursor-pointer text-primary"
             htmlFor="allLabels"
           >
-            All Labels
+            {t("labels.all.title")}
           </Label>
           <Switch
             className="ml-1"
@@ -478,7 +499,7 @@ export function GeneralFilterContent({
           {allLabels.map((item) => (
             <FilterSwitch
               key={item}
-              label={item.replaceAll("_", " ")}
+              label={getTranslatedLabel(item)}
               isChecked={filter.labels?.includes(item) ?? false}
               onCheckedChange={(isChecked) => {
                 if (isChecked) {
@@ -507,7 +528,7 @@ export function GeneralFilterContent({
                 className="mx-2 cursor-pointer text-primary"
                 htmlFor="allZones"
               >
-                All Zones
+                {t("zones.all.title")}
               </Label>
               <Switch
                 className="ml-1"
@@ -556,17 +577,20 @@ export function GeneralFilterContent({
       <DropdownMenuSeparator />
       <div className="flex items-center justify-evenly p-2">
         <Button
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           variant="select"
           onClick={() => {
             onApply();
             onClose();
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
-        <Button aria-label="Reset" onClick={onReset}>
-          Reset
+        <Button
+          aria-label={t("button.reset", { ns: "common" })}
+          onClick={onReset}
+        >
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </>
@@ -581,6 +605,7 @@ function ShowMotionOnlyButton({
   motionOnly,
   setMotionOnly,
 }: ShowMotionOnlyButtonProps) {
+  const { t } = useTranslation(["views/events", "components/filter"]);
   const [motionOnlyButton, setMotionOnlyButton] = useOptimisticState(
     motionOnly,
     setMotionOnly,
@@ -599,7 +624,7 @@ function ShowMotionOnlyButton({
           className="mx-2 cursor-pointer text-primary"
           htmlFor="collapse-motion"
         >
-          Motion only
+          {t("motion.only")}
         </Label>
       </div>
 
@@ -607,7 +632,7 @@ function ShowMotionOnlyButton({
         <Button
           size="sm"
           className="duration-0"
-          aria-label="Show Motion Only"
+          aria-label={t("motion.only")}
           variant={motionOnlyButton ? "select" : "default"}
           onClick={() => setMotionOnlyButton(!motionOnlyButton)}
         >
diff --git a/web/src/components/filter/SearchActionGroup.tsx b/web/src/components/filter/SearchActionGroup.tsx
index aac03ad1c..ad6d6ccc8 100644
--- a/web/src/components/filter/SearchActionGroup.tsx
+++ b/web/src/components/filter/SearchActionGroup.tsx
@@ -15,6 +15,7 @@ import {
 } from "../ui/alert-dialog";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { toast } from "sonner";
+import { Trans, useTranslation } from "react-i18next";
 
 type SearchActionGroupProps = {
   selectedObjects: string[];
@@ -26,6 +27,7 @@ export default function SearchActionGroup({
   setSelectedObjects,
   pullLatestData,
 }: SearchActionGroupProps) {
+  const { t } = useTranslation(["components/filter"]);
   const onClearSelected = useCallback(() => {
     setSelectedObjects([]);
   }, [setSelectedObjects]);
@@ -37,19 +39,23 @@ export default function SearchActionGroup({
       })
       .then((resp) => {
         if (resp.status == 200) {
-          toast.success("Tracked objects deleted successfully.", {
+          toast.success(t("trackedObjectDelete.toast.success"), {
             position: "top-center",
           });
           setSelectedObjects([]);
           pullLatestData();
         }
       })
-      .catch(() => {
-        toast.error("Failed to delete tracked objects.", {
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(t("trackedObjectDelete.toast.error", { errorMessage }), {
           position: "top-center",
         });
       });
-  }, [selectedObjects, setSelectedObjects, pullLatestData]);
+  }, [selectedObjects, setSelectedObjects, pullLatestData, t]);
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
   const [bypassDialog, setBypassDialog] = useState(false);
@@ -74,27 +80,27 @@ export default function SearchActionGroup({
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+            <AlertDialogTitle>
+              {t("trackedObjectDelete.title")}
+            </AlertDialogTitle>
           </AlertDialogHeader>
           <AlertDialogDescription>
-            Deleting these {selectedObjects.length} tracked objects removes the
-            snapshot, any saved embeddings, and any associated object lifecycle
-            entries. Recorded footage of these tracked objects in History view
-            will <em>NOT</em> be deleted.
-            <br />
-            <br />
-            Are you sure you want to proceed?
-            <br />
-            <br />
-            Hold the <em>Shift</em> key to bypass this dialog in the future.
+            <Trans
+              ns="components/filter"
+              values={{ objectLength: selectedObjects.length }}
+            >
+              trackedObjectDelete.desc
+            </Trans>
           </AlertDialogDescription>
           <AlertDialogFooter>
-            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
             <AlertDialogAction
               className={buttonVariants({ variant: "destructive" })}
               onClick={onDelete}
             >
-              Delete
+              {t("button.delete", { ns: "common" })}
             </AlertDialogAction>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -102,26 +108,33 @@ export default function SearchActionGroup({
 
       <div className="absolute inset-x-2 inset-y-0 flex items-center justify-between gap-2 bg-background py-2 md:left-auto">
         <div className="mx-1 flex items-center justify-center text-sm text-muted-foreground">
-          <div className="p-1">{`${selectedObjects.length} selected`}</div>
+          <div className="p-1">
+            {t("selected", {
+              ns: "views/events",
+              count: selectedObjects.length,
+            })}
+          </div>
           <div className="p-1">{"|"}</div>
           <div
             className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
             onClick={onClearSelected}
           >
-            Unselect
+            {t("button.unselect", { ns: "common" })}
           </div>
         </div>
         <div className="flex items-center gap-1 md:gap-2">
           <Button
             className="flex items-center gap-2 p-2"
-            aria-label="Delete"
+            aria-label={t("button.delete", { ns: "common" })}
             size="sm"
             onClick={handleDelete}
           >
             <HiTrash className="text-secondary-foreground" />
             {isDesktop && (
               <div className="text-primary">
-                {bypassDialog ? "Delete Now" : "Delete"}
+                {bypassDialog
+                  ? t("button.deleteNow", { ns: "common" })
+                  : t("button.delete", { ns: "common" })}
               </div>
             )}
           </Button>
diff --git a/web/src/components/filter/SearchFilterGroup.tsx b/web/src/components/filter/SearchFilterGroup.tsx
index 8aa87f8e4..198f27b63 100644
--- a/web/src/components/filter/SearchFilterGroup.tsx
+++ b/web/src/components/filter/SearchFilterGroup.tsx
@@ -25,6 +25,9 @@ import SearchFilterDialog from "../overlay/dialog/SearchFilterDialog";
 import { CalendarRangeFilterButton } from "./CalendarFilterButton";
 import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
 
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
+
 type SearchFilterGroupProps = {
   className: string;
   filters?: SearchFilters[];
@@ -39,6 +42,7 @@ export default function SearchFilterGroup({
   filterList,
   onUpdateFilter,
 }: SearchFilterGroupProps) {
+  const { t } = useTranslation(["components/filter"]);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -60,12 +64,21 @@ export default function SearchFilterGroup({
         return;
       }
       const cameraConfig = config.cameras[camera];
+
+      if (!cameraConfig) {
+        return;
+      }
+
       cameraConfig.objects.track.forEach((label) => {
         if (!config.model.all_attributes.includes(label)) {
           labels.add(label);
         }
       });
 
+      if (cameraConfig.type == "lpr") {
+        labels.add("license_plate");
+      }
+
       if (cameraConfig.audio.enabled_in_config) {
         cameraConfig.audio.listen.forEach((label) => {
           labels.add(label);
@@ -92,7 +105,13 @@ export default function SearchFilterGroup({
       if (camera == "birdseye") {
         return;
       }
+
       const cameraConfig = config.cameras[camera];
+
+      if (!cameraConfig) {
+        return;
+      }
+
       Object.entries(cameraConfig.zones).map(([name, _]) => {
         zones.add(name);
       });
@@ -116,6 +135,9 @@ export default function SearchFilterGroup({
     if (filter?.min_score || filter?.max_score) {
       sortTypes.push("score_desc", "score_asc");
     }
+    if (filter?.min_speed || filter?.max_speed) {
+      sortTypes.push("speed_desc", "speed_asc");
+    }
     if (filter?.event_id || filter?.query) {
       sortTypes.push("relevance");
     }
@@ -192,7 +214,7 @@ export default function SearchFilterGroup({
                   to: new Date(filter.before * 1000),
                 }
           }
-          defaultText={isMobile ? "Dates" : "All Dates"}
+          defaultText={isMobile ? t("dates.all.short") : t("dates.all.title")}
           updateSelectedRange={onUpdateSelectedRange}
         />
       )}
@@ -226,6 +248,7 @@ function GeneralFilterButton({
   selectedLabels,
   updateLabelFilter,
 }: GeneralFilterButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [open, setOpen] = useState(false);
   const [currentLabels, setCurrentLabels] = useState<string[] | undefined>(
     selectedLabels,
@@ -233,19 +256,21 @@ function GeneralFilterButton({
 
   const buttonText = useMemo(() => {
     if (isMobile) {
-      return "Labels";
+      return t("labels.all.short");
     }
 
     if (!selectedLabels || selectedLabels.length == 0) {
-      return "All Labels";
+      return t("labels.all.title");
     }
 
     if (selectedLabels.length == 1) {
-      return selectedLabels[0];
+      return getTranslatedLabel(selectedLabels[0]);
     }
 
-    return `${selectedLabels.length} Labels`;
-  }, [selectedLabels]);
+    return t("labels.count", {
+      count: selectedLabels.length,
+    });
+  }, [selectedLabels, t]);
 
   // ui
 
@@ -259,8 +284,8 @@ function GeneralFilterButton({
     <Button
       size="sm"
       variant={selectedLabels?.length ? "select" : "default"}
-      className="flex items-center gap-2 capitalize"
-      aria-label="Labels"
+      className="flex items-center gap-2 smart-capitalize"
+      aria-label={t("labels.label")}
     >
       <MdLabel
         className={`${selectedLabels?.length ? "text-selected-foreground" : "text-secondary-foreground"}`}
@@ -320,6 +345,7 @@ export function GeneralFilterContent({
   setCurrentLabels,
   onClose,
 }: GeneralFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       <div className="overflow-x-hidden">
@@ -328,7 +354,7 @@ export function GeneralFilterContent({
             className="mx-2 cursor-pointer text-primary"
             htmlFor="allLabels"
           >
-            All Labels
+            {t("labels.all.title")}
           </Label>
           <Switch
             className="ml-1"
@@ -345,7 +371,7 @@ export function GeneralFilterContent({
           {allLabels.map((item) => (
             <FilterSwitch
               key={item}
-              label={item.replaceAll("_", " ")}
+              label={getTranslatedLabel(item)}
               isChecked={currentLabels?.includes(item) ?? false}
               onCheckedChange={(isChecked) => {
                 if (isChecked) {
@@ -370,7 +396,7 @@ export function GeneralFilterContent({
       <DropdownMenuSeparator />
       <div className="flex items-center justify-evenly p-2">
         <Button
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           variant="select"
           onClick={() => {
             if (selectedLabels != currentLabels) {
@@ -380,16 +406,16 @@ export function GeneralFilterContent({
             onClose();
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
         <Button
-          aria-label="Reset"
+          aria-label={t("button.reset", { ns: "common" })}
           onClick={() => {
             setCurrentLabels(undefined);
             updateLabelFilter(undefined);
           }}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </>
@@ -408,6 +434,7 @@ function SortTypeButton({
   selectedSortType,
   updateSortType,
 }: SortTypeButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [open, setOpen] = useState(false);
   const [currentSortType, setCurrentSortType] = useState<
     SearchSortType | undefined
@@ -429,8 +456,8 @@ function SortTypeButton({
           ? "select"
           : "default"
       }
-      className="flex items-center gap-2 capitalize"
-      aria-label="Labels"
+      className="flex items-center gap-2 smart-capitalize"
+      aria-label={t("labels.label")}
     >
       <MdSort
         className={`${selectedSortType != defaultSortType && selectedSortType != undefined ? "text-selected-foreground" : "text-secondary-foreground"}`}
@@ -438,7 +465,7 @@ function SortTypeButton({
       <div
         className={`${selectedSortType != defaultSortType && selectedSortType != undefined ? "text-selected-foreground" : "text-primary"}`}
       >
-        Sort
+        {t("sort.label")}
       </div>
     </Button>
   );
@@ -493,14 +520,16 @@ export function SortTypeContent({
   setCurrentSortType,
   onClose,
 }: SortTypeContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   const sortLabels = {
-    date_asc: "Date (Ascending)",
-    date_desc: "Date (Descending)",
-    score_asc: "Object Score (Ascending)",
-    score_desc: "Object Score (Descending)",
-    relevance: "Relevance",
+    date_asc: t("sort.dateAsc"),
+    date_desc: t("sort.dateDesc"),
+    score_asc: t("sort.scoreAsc"),
+    score_desc: t("sort.scoreDesc"),
+    speed_asc: t("sort.speedAsc"),
+    speed_desc: t("sort.speedDesc"),
+    relevance: t("sort.relevance"),
   };
-
   return (
     <>
       <div className="overflow-x-hidden">
@@ -543,7 +572,7 @@ export function SortTypeContent({
       <DropdownMenuSeparator />
       <div className="flex items-center justify-evenly p-2">
         <Button
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           variant="select"
           onClick={() => {
             if (selectedSortType != currentSortType) {
@@ -553,16 +582,16 @@ export function SortTypeContent({
             onClose();
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
         <Button
-          aria-label="Reset"
+          aria-label={t("button.reset", { ns: "common" })}
           onClick={() => {
             setCurrentSortType(undefined);
             updateSortType(undefined);
           }}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </>
diff --git a/web/src/components/filter/ZoneMaskFilter.tsx b/web/src/components/filter/ZoneMaskFilter.tsx
index 28d86b499..6512346b1 100644
--- a/web/src/components/filter/ZoneMaskFilter.tsx
+++ b/web/src/components/filter/ZoneMaskFilter.tsx
@@ -7,6 +7,7 @@ import { PolygonType } from "@/types/canvas";
 import { Label } from "../ui/label";
 import { Switch } from "../ui/switch";
 import { DropdownMenuSeparator } from "../ui/dropdown-menu";
+import { useTranslation } from "react-i18next";
 
 type ZoneMaskFilterButtonProps = {
   selectedZoneMask?: PolygonType[];
@@ -16,12 +17,13 @@ export function ZoneMaskFilterButton({
   selectedZoneMask,
   updateZoneMaskFilter,
 }: ZoneMaskFilterButtonProps) {
+  const { t } = useTranslation(["components/filter"]);
   const trigger = (
     <Button
       size="sm"
       variant={selectedZoneMask?.length ? "select" : "default"}
-      className="flex items-center gap-2 capitalize"
-      aria-label="Filter by zone mask"
+      className="flex items-center gap-2 smart-capitalize"
+      aria-label={t("zoneMask.filterBy")}
     >
       <FaFilter
         className={`${selectedZoneMask?.length ? "text-selected-foreground" : "text-secondary-foreground"}`}
@@ -29,7 +31,7 @@ export function ZoneMaskFilterButton({
       <div
         className={`hidden md:block ${selectedZoneMask?.length ? "text-selected-foreground" : "text-primary"}`}
       >
-        Filter
+        {t("filter")}
       </div>
     </Button>
   );
@@ -67,6 +69,7 @@ export function GeneralFilterContent({
   selectedZoneMask,
   updateZoneMaskFilter,
 }: GeneralFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       <div className="h-auto overflow-y-auto overflow-x-hidden">
@@ -75,7 +78,7 @@ export function GeneralFilterContent({
             className="mx-2 cursor-pointer text-primary"
             htmlFor="allLabels"
           >
-            All Masks and Zones
+            {t("labels.all.title")}
           </Label>
           <Switch
             className="ml-1"
@@ -93,12 +96,17 @@ export function GeneralFilterContent({
           {["zone", "motion_mask", "object_mask"].map((item) => (
             <div key={item} className="flex items-center justify-between">
               <Label
-                className="mx-2 w-full cursor-pointer capitalize text-primary"
+                className="mx-2 w-full cursor-pointer text-primary smart-capitalize"
                 htmlFor={item}
               >
-                {item
-                  .replace(/_/g, " ")
-                  .replace(/\b\w/g, (char) => char.toUpperCase()) + "s"}
+                {t(
+                  "masksAndZones." +
+                    item
+                      .replace(/_([a-z])/g, (letter) => letter.toUpperCase())
+                      .replace("_", "") +
+                    "s.label",
+                  { ns: "views/settings" },
+                )}
               </Label>
               <Switch
                 key={item}
diff --git a/web/src/components/graph/CameraGraph.tsx b/web/src/components/graph/CameraGraph.tsx
deleted file mode 100644
index ab5d6e03f..000000000
--- a/web/src/components/graph/CameraGraph.tsx
+++ /dev/null
@@ -1,141 +0,0 @@
-import { useTheme } from "@/context/theme-provider";
-import { FrigateConfig } from "@/types/frigateConfig";
-import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
-import { useCallback, useEffect, useMemo } from "react";
-import Chart from "react-apexcharts";
-import { isMobileOnly } from "react-device-detect";
-import { MdCircle } from "react-icons/md";
-import useSWR from "swr";
-
-const GRAPH_COLORS = ["#5C7CFA", "#ED5CFA", "#FAD75C"];
-
-type CameraLineGraphProps = {
-  graphId: string;
-  unit: string;
-  dataLabels: string[];
-  updateTimes: number[];
-  data: ApexAxisChartSeries;
-};
-export function CameraLineGraph({
-  graphId,
-  unit,
-  dataLabels,
-  updateTimes,
-  data,
-}: CameraLineGraphProps) {
-  const { data: config } = useSWR<FrigateConfig>("config", {
-    revalidateOnFocus: false,
-  });
-
-  const lastValues = useMemo<number[] | undefined>(() => {
-    if (!dataLabels || !data || data.length == 0) {
-      return undefined;
-    }
-
-    return dataLabels.map(
-      (_, labelIdx) =>
-        // @ts-expect-error y is valid
-        data[labelIdx].data[data[labelIdx].data.length - 1]?.y ?? 0,
-    ) as number[];
-  }, [data, dataLabels]);
-
-  const { theme, systemTheme } = useTheme();
-
-  const formatTime = useCallback(
-    (val: unknown) => {
-      return formatUnixTimestampToDateTime(
-        updateTimes[Math.round(val as number)],
-        {
-          timezone: config?.ui.timezone,
-          strftime_fmt:
-            config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p",
-        },
-      );
-    },
-    [config, updateTimes],
-  );
-
-  const options = useMemo(() => {
-    return {
-      chart: {
-        id: graphId,
-        selection: {
-          enabled: false,
-        },
-        toolbar: {
-          show: false,
-        },
-        zoom: {
-          enabled: false,
-        },
-      },
-      colors: GRAPH_COLORS,
-      grid: {
-        show: false,
-      },
-      legend: {
-        show: false,
-      },
-      dataLabels: {
-        enabled: false,
-      },
-      stroke: {
-        width: 1,
-      },
-      tooltip: {
-        theme: systemTheme || theme,
-      },
-      markers: {
-        size: 0,
-      },
-      xaxis: {
-        tickAmount: isMobileOnly ? 2 : 3,
-        tickPlacement: "on",
-        labels: {
-          rotate: 0,
-          formatter: formatTime,
-        },
-        axisBorder: {
-          show: false,
-        },
-        axisTicks: {
-          show: false,
-        },
-      },
-      yaxis: {
-        show: true,
-        labels: {
-          formatter: (val: number) => Math.ceil(val).toString(),
-        },
-        min: 0,
-      },
-    } as ApexCharts.ApexOptions;
-  }, [graphId, systemTheme, theme, formatTime]);
-
-  useEffect(() => {
-    ApexCharts.exec(graphId, "updateOptions", options, true, true);
-  }, [graphId, options]);
-
-  return (
-    <div className="flex w-full flex-col">
-      {lastValues && (
-        <div className="flex flex-wrap items-center gap-2.5">
-          {dataLabels.map((label, labelIdx) => (
-            <div key={label} className="flex items-center gap-1">
-              <MdCircle
-                className="size-2"
-                style={{ color: GRAPH_COLORS[labelIdx] }}
-              />
-              <div className="text-xs text-muted-foreground">{label}</div>
-              <div className="text-xs text-primary">
-                {lastValues[labelIdx]}
-                {unit}
-              </div>
-            </div>
-          ))}
-        </div>
-      )}
-      <Chart type="line" options={options} series={data} height="120" />
-    </div>
-  );
-}
diff --git a/web/src/components/graph/CombinedStorageGraph.tsx b/web/src/components/graph/CombinedStorageGraph.tsx
index 2a52d82b6..4279e73c2 100644
--- a/web/src/components/graph/CombinedStorageGraph.tsx
+++ b/web/src/components/graph/CombinedStorageGraph.tsx
@@ -1,6 +1,6 @@
 import { useTheme } from "@/context/theme-provider";
 import { generateColors } from "@/utils/colorUtil";
-import { useEffect, useMemo } from "react";
+import { useCallback, useEffect, useMemo } from "react";
 import Chart from "react-apexcharts";
 import {
   Table,
@@ -16,7 +16,9 @@ import {
   PopoverTrigger,
 } from "@/components/ui/popover";
 import { getUnitSize } from "@/utils/storageUtil";
-import { LuAlertCircle } from "react-icons/lu";
+
+import { CiCircleAlert } from "react-icons/ci";
+import { useTranslation } from "react-i18next";
 
 type CameraStorage = {
   [key: string]: {
@@ -28,6 +30,7 @@ type CameraStorage = {
 
 type TotalStorage = {
   used: number;
+  camera: number;
   total: number;
 };
 
@@ -41,6 +44,8 @@ export function CombinedStorageGraph({
   cameraStorage,
   totalStorage,
 }: CombinedStorageGraphProps) {
+  const { t } = useTranslation(["views/system"]);
+
   const { theme, systemTheme } = useTheme();
 
   const entities = Object.keys(cameraStorage);
@@ -55,6 +60,15 @@ export function CombinedStorageGraph({
   }));
 
   // Add the unused percentage to the series
+  series.push({
+    name: "Other",
+    data: [
+      ((totalStorage.used - totalStorage.camera) / totalStorage.total) * 100,
+    ],
+    usage: totalStorage.used - totalStorage.camera,
+    bandwidth: 0,
+    color: (systemTheme || theme) == "dark" ? "#606060" : "#D5D5D5",
+  });
   series.push({
     name: "Unused",
     data: [
@@ -156,12 +170,27 @@ export function CombinedStorageGraph({
     ApexCharts.exec(graphId, "updateOptions", options, true, true);
   }, [graphId, options]);
 
+  // convenience
+
+  const getItemTitle = useCallback(
+    (name: string) => {
+      if (name == "Unused") {
+        return t("storage.cameraStorage.unused.title");
+      } else if (name == "Other") {
+        return t("label.other", { ns: "common" });
+      } else {
+        return name.replaceAll("_", " ");
+      }
+    },
+    [t],
+  );
+
   return (
     <div className="flex w-full flex-col gap-2.5">
       <div className="flex w-full items-center justify-between gap-1">
         <div className="flex items-center gap-1">
           <div className="text-xs text-primary">
-            {getUnitSize(totalStorage.used)}
+            {getUnitSize(totalStorage.camera)}
           </div>
           <div className="text-xs text-primary">/</div>
           <div className="text-xs text-muted-foreground">
@@ -176,41 +205,44 @@ export function CombinedStorageGraph({
         <Table>
           <TableHeader>
             <TableRow>
-              <TableHead>Camera</TableHead>
-              <TableHead>Storage Used</TableHead>
-              <TableHead>Percentage of Total Used</TableHead>
-              <TableHead>Bandwidth</TableHead>
+              <TableHead>{t("storage.cameraStorage.camera")}</TableHead>
+              <TableHead>{t("storage.cameraStorage.storageUsed")}</TableHead>
+              <TableHead>
+                {t("storage.cameraStorage.percentageOfTotalUsed")}
+              </TableHead>
+              <TableHead>{t("storage.cameraStorage.bandwidth")}</TableHead>
             </TableRow>
           </TableHeader>
           <TableBody>
             {series.map((item) => (
               <TableRow key={item.name}>
-                <TableCell className="flex flex-row items-center gap-2 font-medium capitalize">
+                <TableCell className="flex flex-row items-center gap-2 font-medium smart-capitalize">
                   {" "}
                   <div
                     className="size-3 rounded-md"
                     style={{ backgroundColor: item.color }}
                   ></div>
-                  {item.name.replaceAll("_", " ")}
-                  {item.name === "Unused" && (
+                  {getItemTitle(item.name)}
+                  {(item.name === "Unused" || item.name == "Other") && (
                     <Popover>
                       <PopoverTrigger asChild>
                         <button
                           className="focus:outline-none"
-                          aria-label="Unused Storage Information"
+                          aria-label={t(
+                            "storage.cameraStorage.unusedStorageInformation",
+                          )}
                         >
-                          <LuAlertCircle
+                          <CiCircleAlert
                             className="size-5"
-                            aria-label="Unused Storage Information"
+                            aria-label={t(
+                              "storage.cameraStorage.unusedStorageInformation",
+                            )}
                           />
                         </button>
                       </PopoverTrigger>
                       <PopoverContent className="w-80">
                         <div className="space-y-2">
-                          This value may not accurately represent the free space
-                          available to Frigate if you have other files stored on
-                          your drive beyond Frigate's recordings. Frigate does
-                          not track storage usage outside of its recordings.
+                          {t("storage.cameraStorage.unused.tips")}
                         </div>
                       </PopoverContent>
                     </Popover>
@@ -219,7 +251,7 @@ export function CombinedStorageGraph({
                 <TableCell>{getUnitSize(item.usage ?? 0)}</TableCell>
                 <TableCell>{item.data[0].toFixed(2)}%</TableCell>
                 <TableCell>
-                  {item.name === "Unused"
+                  {item.name === "Unused" || item.name == "Other"
                     ? "—"
                     : `${getUnitSize(item.bandwidth)} / hour`}
                 </TableCell>
diff --git a/web/src/components/graph/LineGraph.tsx b/web/src/components/graph/LineGraph.tsx
new file mode 100644
index 000000000..ad841dea2
--- /dev/null
+++ b/web/src/components/graph/LineGraph.tsx
@@ -0,0 +1,292 @@
+import { useTheme } from "@/context/theme-provider";
+import { useDateLocale } from "@/hooks/use-date-locale";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import { useCallback, useEffect, useMemo } from "react";
+import Chart from "react-apexcharts";
+import { isMobileOnly } from "react-device-detect";
+import { useTranslation } from "react-i18next";
+import { MdCircle } from "react-icons/md";
+import useSWR from "swr";
+
+const GRAPH_COLORS = ["#5C7CFA", "#ED5CFA", "#FAD75C"];
+
+type CameraLineGraphProps = {
+  graphId: string;
+  unit: string;
+  dataLabels: string[];
+  updateTimes: number[];
+  data: ApexAxisChartSeries;
+};
+export function CameraLineGraph({
+  graphId,
+  unit,
+  dataLabels,
+  updateTimes,
+  data,
+}: CameraLineGraphProps) {
+  const { t } = useTranslation(["views/system", "common"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+
+  const lastValues = useMemo<number[] | undefined>(() => {
+    if (!dataLabels || !data || data.length == 0) {
+      return undefined;
+    }
+
+    return dataLabels.map(
+      (_, labelIdx) =>
+        // @ts-expect-error y is valid
+        data[labelIdx].data[data[labelIdx].data.length - 1]?.y ?? 0,
+    ) as number[];
+  }, [data, dataLabels]);
+
+  const { theme, systemTheme } = useTheme();
+
+  const locale = useDateLocale();
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    return t(`time.formattedTimestampHourMinute.${timeFormat}`, {
+      ns: "common",
+    });
+  }, [t, timeFormat]);
+
+  const formatTime = useCallback(
+    (val: unknown) => {
+      return formatUnixTimestampToDateTime(
+        updateTimes[Math.round(val as number)],
+        {
+          timezone: config?.ui.timezone,
+          date_format: format,
+          locale,
+        },
+      );
+    },
+    [config?.ui.timezone, format, locale, updateTimes],
+  );
+
+  const options = useMemo(() => {
+    return {
+      chart: {
+        id: graphId,
+        selection: {
+          enabled: false,
+        },
+        toolbar: {
+          show: false,
+        },
+        zoom: {
+          enabled: false,
+        },
+      },
+      colors: GRAPH_COLORS,
+      grid: {
+        show: false,
+      },
+      legend: {
+        show: false,
+      },
+      dataLabels: {
+        enabled: false,
+      },
+      stroke: {
+        width: 1,
+      },
+      tooltip: {
+        theme: systemTheme || theme,
+      },
+      markers: {
+        size: 0,
+      },
+      xaxis: {
+        tickAmount: isMobileOnly ? 2 : 3,
+        tickPlacement: "on",
+        labels: {
+          rotate: 0,
+          formatter: formatTime,
+          style: {
+            colors: "#6B6B6B",
+          },
+        },
+        axisBorder: {
+          show: false,
+        },
+        axisTicks: {
+          show: false,
+        },
+      },
+      yaxis: {
+        show: true,
+        labels: {
+          formatter: (val: number) => Math.ceil(val).toString(),
+          style: {
+            colors: "#6B6B6B",
+          },
+        },
+        min: 0,
+      },
+    } as ApexCharts.ApexOptions;
+  }, [graphId, systemTheme, theme, formatTime]);
+
+  useEffect(() => {
+    ApexCharts.exec(graphId, "updateOptions", options, true, true);
+  }, [graphId, options]);
+
+  return (
+    <div className="flex w-full flex-col">
+      {lastValues && (
+        <div className="flex flex-wrap items-center gap-2.5">
+          {dataLabels.map((label, labelIdx) => (
+            <div key={label} className="flex items-center gap-1">
+              <MdCircle
+                className="size-2"
+                style={{ color: GRAPH_COLORS[labelIdx] }}
+              />
+              <div className="text-xs text-secondary-foreground">
+                {t("cameras.label." + label)}
+              </div>
+              <div className="text-xs text-primary">
+                {lastValues[labelIdx]}
+                {unit}
+              </div>
+            </div>
+          ))}
+        </div>
+      )}
+      <Chart type="line" options={options} series={data} height="120" />
+    </div>
+  );
+}
+
+type EventsPerSecondLineGraphProps = {
+  graphId: string;
+  unit: string;
+  name: string;
+  updateTimes: number[];
+  data: ApexAxisChartSeries;
+};
+export function EventsPerSecondsLineGraph({
+  graphId,
+  unit,
+  name,
+  updateTimes,
+  data,
+}: EventsPerSecondLineGraphProps) {
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+
+  const { theme, systemTheme } = useTheme();
+
+  const lastValue = useMemo<number>(
+    // @ts-expect-error y is valid
+    () => data[0].data[data[0].data.length - 1]?.y ?? 0,
+    [data],
+  );
+
+  const locale = useDateLocale();
+  const { t } = useTranslation(["common"]);
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    return t(`time.formattedTimestampHourMinute.${timeFormat}`, {
+      ns: "common",
+    });
+  }, [t, timeFormat]);
+
+  const formatTime = useCallback(
+    (val: unknown) => {
+      return formatUnixTimestampToDateTime(
+        updateTimes[Math.round(val as number) - 1],
+        {
+          timezone: config?.ui.timezone,
+          date_format: format,
+          locale,
+        },
+      );
+    },
+    [config?.ui.timezone, format, locale, updateTimes],
+  );
+
+  const options = useMemo(() => {
+    return {
+      chart: {
+        id: graphId,
+        selection: {
+          enabled: false,
+        },
+        toolbar: {
+          show: false,
+        },
+        zoom: {
+          enabled: false,
+        },
+      },
+      colors: GRAPH_COLORS,
+      grid: {
+        show: false,
+      },
+      legend: {
+        show: false,
+      },
+      dataLabels: {
+        enabled: false,
+      },
+      stroke: {
+        width: 1,
+      },
+      tooltip: {
+        theme: systemTheme || theme,
+      },
+      markers: {
+        size: 0,
+      },
+      xaxis: {
+        tickAmount: isMobileOnly ? 2 : 3,
+        tickPlacement: "on",
+        labels: {
+          rotate: 0,
+          formatter: formatTime,
+          style: {
+            colors: "#6B6B6B",
+          },
+        },
+        axisBorder: {
+          show: false,
+        },
+        axisTicks: {
+          show: false,
+        },
+      },
+      yaxis: {
+        show: true,
+        labels: {
+          formatter: (val: number) => Math.ceil(val).toString(),
+          style: {
+            colors: "#6B6B6B",
+          },
+        },
+        min: 0,
+      },
+    } as ApexCharts.ApexOptions;
+  }, [graphId, systemTheme, theme, formatTime]);
+
+  useEffect(() => {
+    ApexCharts.exec(graphId, "updateOptions", options, true, true);
+  }, [graphId, options]);
+
+  return (
+    <div className="flex w-full flex-col">
+      <div className="flex items-center gap-1">
+        <div className="text-xs text-secondary-foreground">{name}</div>
+        <div className="text-xs text-primary">
+          {lastValue}
+          {unit}
+        </div>
+      </div>
+      <Chart type="line" options={options} series={data} height="120" />
+    </div>
+  );
+}
diff --git a/web/src/components/graph/SystemGraph.tsx b/web/src/components/graph/SystemGraph.tsx
index aaf838763..fcafeda22 100644
--- a/web/src/components/graph/SystemGraph.tsx
+++ b/web/src/components/graph/SystemGraph.tsx
@@ -1,10 +1,12 @@
 import { useTheme } from "@/context/theme-provider";
+import { useDateLocale } from "@/hooks/use-date-locale";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { Threshold } from "@/types/graph";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { useCallback, useEffect, useMemo } from "react";
 import Chart from "react-apexcharts";
 import { isMobileOnly } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 import useSWR from "swr";
 
 type ThresholdBarGraphProps = {
@@ -45,6 +47,16 @@ export function ThresholdBarGraph({
 
   const { theme, systemTheme } = useTheme();
 
+  const locale = useDateLocale();
+  const { t } = useTranslation(["common"]);
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    return t(`time.formattedTimestampHourMinute.${timeFormat}`, {
+      ns: "common",
+    });
+  }, [t, timeFormat]);
+
   const formatTime = useCallback(
     (val: unknown) => {
       const dateIndex = Math.round(val as number);
@@ -53,17 +65,16 @@ export function ThresholdBarGraph({
       if (dateIndex < 0) {
         timeOffset = 5 * Math.abs(dateIndex);
       }
-
       return formatUnixTimestampToDateTime(
         updateTimes[Math.max(1, dateIndex) - 1] - timeOffset,
         {
           timezone: config?.ui.timezone,
-          strftime_fmt:
-            config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p",
+          date_format: format,
+          locale,
         },
       );
     },
-    [config, updateTimes],
+    [config?.ui.timezone, format, locale, updateTimes],
   );
 
   const options = useMemo(() => {
@@ -127,6 +138,9 @@ export function ThresholdBarGraph({
         labels: {
           rotate: 0,
           formatter: formatTime,
+          style: {
+            colors: "#6B6B6B",
+          },
         },
         axisBorder: {
           show: false,
@@ -139,6 +153,9 @@ export function ThresholdBarGraph({
         show: true,
         labels: {
           formatter: (val: number) => Math.ceil(val).toString(),
+          style: {
+            colors: "#6B6B6B",
+          },
         },
         min: 0,
         max: yMax,
@@ -169,7 +186,7 @@ export function ThresholdBarGraph({
   return (
     <div className="flex w-full flex-col">
       <div className="flex items-center gap-1">
-        <div className="text-xs text-muted-foreground">{name}</div>
+        <div className="text-xs text-secondary-foreground">{name}</div>
         <div className="text-xs text-primary">
           {lastValue}
           {unit}
diff --git a/web/src/components/icons/AddFaceIcon.tsx b/web/src/components/icons/AddFaceIcon.tsx
new file mode 100644
index 000000000..ce06120cc
--- /dev/null
+++ b/web/src/components/icons/AddFaceIcon.tsx
@@ -0,0 +1,25 @@
+import { forwardRef } from "react";
+import { LuPlus, LuScanFace } from "react-icons/lu";
+import { cn } from "@/lib/utils";
+
+type AddFaceIconProps = {
+  className?: string;
+  onClick?: () => void;
+};
+
+const AddFaceIcon = forwardRef<HTMLDivElement, AddFaceIconProps>(
+  ({ className, onClick }, ref) => {
+    return (
+      <div
+        ref={ref}
+        className={cn("relative flex items-center", className)}
+        onClick={onClick}
+      >
+        <LuScanFace className="size-full" />
+        <LuPlus className="absolute size-4 translate-x-3 translate-y-3" />
+      </div>
+    );
+  },
+);
+
+export default AddFaceIcon;
diff --git a/web/src/components/icons/IconPicker.tsx b/web/src/components/icons/IconPicker.tsx
index d58b57ead..b74029e0b 100644
--- a/web/src/components/icons/IconPicker.tsx
+++ b/web/src/components/icons/IconPicker.tsx
@@ -12,6 +12,8 @@ import Heading from "../ui/heading";
 import { cn } from "@/lib/utils";
 import { Button } from "../ui/button";
 
+import { useTranslation } from "react-i18next";
+
 export type IconName = keyof typeof LuIcons;
 
 export type IconElement = {
@@ -30,6 +32,7 @@ export default function IconPicker({
   selectedIcon,
   setSelectedIcon,
 }: IconPickerProps) {
+  const { t } = useTranslation(["components/icons"]);
   const [open, setOpen] = useState(false);
   const containerRef = useRef<HTMLDivElement>(null);
   const [searchTerm, setSearchTerm] = useState("");
@@ -68,9 +71,9 @@ export default function IconPicker({
           {!selectedIcon?.name || !selectedIcon?.Icon ? (
             <Button
               className="mt-2 w-full text-muted-foreground"
-              aria-label="Select an icon"
+              aria-label={t("iconPicker.selectIcon")}
             >
-              Select an icon
+              {t("iconPicker.selectIcon")}
             </Button>
           ) : (
             <div className="hover:cursor-pointer">
@@ -101,7 +104,7 @@ export default function IconPicker({
           className="flex max-h-[50dvh] flex-col overflow-y-hidden md:max-h-[30dvh]"
         >
           <div className="mb-3 flex flex-row items-center justify-between">
-            <Heading as="h4">Select an icon</Heading>
+            <Heading as="h4">{t("iconPicker.selectIcon")}</Heading>
             <span tabIndex={0} className="sr-only" />
             <IoClose
               size={15}
@@ -113,7 +116,9 @@ export default function IconPicker({
           </div>
           <Input
             type="text"
-            placeholder="Search for an icon..."
+            placeholder={t("iconPicker.search.placeholder", {
+              ns: "components/icons",
+            })}
             className="text-md mb-3 md:text-sm"
             value={searchTerm}
             onChange={(e) => setSearchTerm(e.target.value)}
diff --git a/web/src/components/indicators/Chip.tsx b/web/src/components/indicators/Chip.tsx
index 8c8d373c8..06e905c83 100644
--- a/web/src/components/indicators/Chip.tsx
+++ b/web/src/components/indicators/Chip.tsx
@@ -70,17 +70,19 @@ export function LogChip({ severity, onClickSeverity }: LogChipProps) {
   }, [severity]);
 
   return (
-    <div
-      className={`rounded-md px-1 py-[1px] text-xs capitalize ${onClickSeverity ? "cursor-pointer" : ""} ${severityClassName}`}
-      onClick={(e) => {
-        e.stopPropagation();
+    <div className="min-w-16 lg:min-w-20">
+      <span
+        className={`rounded-md px-1 py-[1px] text-xs smart-capitalize ${onClickSeverity ? "cursor-pointer" : ""} ${severityClassName}`}
+        onClick={(e) => {
+          e.stopPropagation();
 
-        if (onClickSeverity) {
-          onClickSeverity();
-        }
-      }}
-    >
-      {severity}
+          if (onClickSeverity) {
+            onClickSeverity();
+          }
+        }}
+      >
+        {severity}
+      </span>
     </div>
   );
 }
diff --git a/web/src/components/indicators/StepIndicator.tsx b/web/src/components/indicators/StepIndicator.tsx
new file mode 100644
index 000000000..a6255fd0f
--- /dev/null
+++ b/web/src/components/indicators/StepIndicator.tsx
@@ -0,0 +1,33 @@
+import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
+
+type StepIndicatorProps = {
+  steps: string[];
+  currentStep: number;
+  translationNameSpace: string;
+};
+export default function StepIndicator({
+  steps,
+  currentStep,
+  translationNameSpace,
+}: StepIndicatorProps) {
+  const { t } = useTranslation(translationNameSpace);
+
+  return (
+    <div className="flex flex-row justify-evenly">
+      {steps.map((name, idx) => (
+        <div key={idx} className="flex flex-col items-center gap-2">
+          <div
+            className={cn(
+              "flex size-16 items-center justify-center rounded-full",
+              currentStep == idx ? "bg-selected" : "border-2 border-selected",
+            )}
+          >
+            {idx + 1}
+          </div>
+          <div className="w-24 text-center md:w-24">{t(name)}</div>
+        </div>
+      ))}
+    </div>
+  );
+}
diff --git a/web/src/components/indicators/activity-indicator.tsx b/web/src/components/indicators/activity-indicator.tsx
index 5591c9b7d..677a815ae 100644
--- a/web/src/components/indicators/activity-indicator.tsx
+++ b/web/src/components/indicators/activity-indicator.tsx
@@ -1,5 +1,5 @@
 import { cn } from "@/lib/utils";
-import { LuLoader2 } from "react-icons/lu";
+import { AiOutlineLoading3Quarters } from "react-icons/ai";
 
 export default function ActivityIndicator({ className = "w-full", size = 30 }) {
   return (
@@ -7,7 +7,7 @@ export default function ActivityIndicator({ className = "w-full", size = 30 }) {
       className={cn("flex items-center justify-center", className)}
       aria-label="Loading…"
     >
-      <LuLoader2 className="animate-spin" size={size} />
+      <AiOutlineLoading3Quarters className="animate-spin" size={size} />
     </div>
   );
 }
diff --git a/web/src/components/input/ImageEntry.tsx b/web/src/components/input/ImageEntry.tsx
new file mode 100644
index 000000000..47c8714ef
--- /dev/null
+++ b/web/src/components/input/ImageEntry.tsx
@@ -0,0 +1,145 @@
+import { Button } from "@/components/ui/button";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "@/components/ui/form";
+import { cn } from "@/lib/utils";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useCallback, useState } from "react";
+import { useDropzone } from "react-dropzone";
+import { useForm } from "react-hook-form";
+import { useTranslation } from "react-i18next";
+import { LuUpload, LuX } from "react-icons/lu";
+import { z } from "zod";
+
+type ImageEntryProps = {
+  onSave: (file: File) => void;
+  children?: React.ReactNode;
+  maxSize?: number;
+  accept?: Record<string, string[]>;
+};
+
+export default function ImageEntry({
+  onSave,
+  children,
+  maxSize = 20 * 1024 * 1024, // 20MB default
+  accept = { "image/*": [".jpeg", ".jpg", ".png", ".gif", ".webp"] },
+}: ImageEntryProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+  const [preview, setPreview] = useState<string | null>(null);
+
+  const formSchema = z.object({
+    file: z
+      .instanceof(File, { message: t("imageEntry.validation.selectImage") })
+      .refine((file) =>
+        accept["image/*"].includes(`.${file.type.split("/")[1]}`),
+      ),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+  });
+
+  const onDrop = useCallback(
+    (acceptedFiles: File[]) => {
+      if (acceptedFiles.length > 0) {
+        const file = acceptedFiles[0];
+        form.setValue("file", file, { shouldValidate: true });
+
+        // Create preview
+        const objectUrl = URL.createObjectURL(file);
+        setPreview(objectUrl);
+
+        // Clean up preview URL when component unmounts
+        return () => URL.revokeObjectURL(objectUrl);
+      }
+    },
+    [form],
+  );
+
+  const { getRootProps, getInputProps, isDragActive, isDragReject } =
+    useDropzone({
+      onDrop,
+      maxSize,
+      accept,
+      multiple: false,
+    });
+
+  const onSubmit = useCallback(
+    (data: z.infer<typeof formSchema>) => {
+      if (!data.file) return;
+      onSave(data.file);
+    },
+    [onSave],
+  );
+
+  const clearSelection = () => {
+    form.reset();
+    setPreview(null);
+  };
+
+  return (
+    <Form {...form}>
+      <form onSubmit={form.handleSubmit(onSubmit)}>
+        <FormField
+          control={form.control}
+          name="file"
+          render={() => (
+            <FormItem>
+              <FormControl>
+                <div className="w-full">
+                  {!preview ? (
+                    <div
+                      {...getRootProps()}
+                      className={cn(
+                        "flex h-40 flex-col items-center justify-center rounded-lg border-2 border-dashed p-6 transition-colors",
+                        isDragActive && "border-primary bg-primary/5",
+                        isDragReject && "border-destructive bg-destructive/5",
+                        "cursor-pointer hover:border-primary hover:bg-primary/5",
+                      )}
+                    >
+                      <input {...getInputProps()} />
+                      <LuUpload className="mb-2 h-10 w-10 text-muted-foreground" />
+                      <p className="text-center text-sm text-muted-foreground">
+                        {isDragActive
+                          ? t("imageEntry.dropActive")
+                          : t("imageEntry.dropInstructions")}
+                      </p>
+                      <p className="mt-1 text-xs text-muted-foreground">
+                        {t("imageEntry.maxSize", {
+                          size: Math.round(maxSize / (1024 * 1024)),
+                        })}
+                      </p>
+                    </div>
+                  ) : (
+                    <div className="relative h-40 w-full">
+                      <img
+                        src={preview}
+                        alt="Preview"
+                        className="h-full w-full rounded-lg border object-contain"
+                      />
+                      <Button
+                        type="button"
+                        variant="destructive"
+                        size="icon"
+                        className="absolute right-2 top-2 size-5 rounded-full"
+                        onClick={clearSelection}
+                      >
+                        <LuX className="size-3" />
+                      </Button>
+                    </div>
+                  )}
+                </div>
+              </FormControl>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+        <div className="mt-4 flex justify-end">{children}</div>
+      </form>
+    </Form>
+  );
+}
diff --git a/web/src/components/input/InputWithTags.tsx b/web/src/components/input/InputWithTags.tsx
old mode 100644
new mode 100755
index d5904b2a5..413dd64b1
--- a/web/src/components/input/InputWithTags.tsx
+++ b/web/src/components/input/InputWithTags.tsx
@@ -51,6 +51,8 @@ import { toast } from "sonner";
 import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { MdImageSearch } from "react-icons/md";
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type InputWithTagsProps = {
   inputFocused: boolean;
@@ -73,6 +75,7 @@ export default function InputWithTags({
   setSearch,
   allSuggestions,
 }: InputWithTagsProps) {
+  const { t, i18n } = useTranslation(["views/search"]);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -216,11 +219,14 @@ export default function InputWithTags({
         type == "after" ||
         type == "time_range" ||
         type == "min_score" ||
-        type == "max_score"
+        type == "max_score" ||
+        type == "min_speed" ||
+        type == "max_speed"
       ) {
         const newFilters = { ...filters };
         let timestamp = 0;
         let score = 0;
+        let speed = 0;
 
         switch (type) {
           case "before":
@@ -233,12 +239,9 @@ export default function InputWithTags({
                 filters.after &&
                 timestamp <= filters.after * 1000
               ) {
-                toast.error(
-                  "The 'before' date must be later than the 'after' date.",
-                  {
-                    position: "top-center",
-                  },
-                );
+                toast.error(t("filter.toast.error.beforeDateBeLaterAfter"), {
+                  position: "top-center",
+                });
                 return;
               }
               if (
@@ -246,12 +249,9 @@ export default function InputWithTags({
                 filters.before &&
                 timestamp >= filters.before * 1000
               ) {
-                toast.error(
-                  "The 'after' date must be earlier than the 'before' date.",
-                  {
-                    position: "top-center",
-                  },
-                );
+                toast.error(t("filter.toast.error.afterDatebeEarlierBefore"), {
+                  position: "top-center",
+                });
                 return;
               }
               if (type === "before") {
@@ -271,7 +271,7 @@ export default function InputWithTags({
                 score > filters.max_score * 100
               ) {
                 toast.error(
-                  "The 'min_score' must be less than or equal to the 'max_score'.",
+                  t("filter.toast.error.minScoreMustBeLessOrEqualMaxScore"),
                   {
                     position: "top-center",
                   },
@@ -284,7 +284,7 @@ export default function InputWithTags({
                 score < filters.min_score * 100
               ) {
                 toast.error(
-                  "The 'max_score' must be greater than or equal to the 'min_score'.",
+                  t("filter.toast.error.maxScoreMustBeGreaterOrEqualMinScore"),
                   {
                     position: "top-center",
                   },
@@ -294,6 +294,40 @@ export default function InputWithTags({
               newFilters[type] = score / 100;
             }
             break;
+          case "min_speed":
+          case "max_speed":
+            speed = parseFloat(value);
+            if (score >= 0) {
+              // Check for conflicts between min_speed and max_speed
+              if (
+                type === "min_speed" &&
+                filters.max_speed !== undefined &&
+                speed > filters.max_speed
+              ) {
+                toast.error(
+                  t("filter.toast.error.minSpeedMustBeLessOrEqualMaxSpeed"),
+                  {
+                    position: "top-center",
+                  },
+                );
+                return;
+              }
+              if (
+                type === "max_speed" &&
+                filters.min_speed !== undefined &&
+                speed < filters.min_speed
+              ) {
+                toast.error(
+                  t("filter.toast.error.maxSpeedMustBeGreaterOrEqualMinSpeed"),
+                  {
+                    position: "top-center",
+                  },
+                );
+                return;
+              }
+              newFilters[type] = speed;
+            }
+            break;
           case "time_range":
             newFilters[type] = value;
             break;
@@ -343,7 +377,7 @@ export default function InputWithTags({
         setCurrentFilterType(null);
       }
     },
-    [filters, setFilters, allSuggestions],
+    [filters, setFilters, allSuggestions, t],
   );
 
   function formatFilterValues(
@@ -369,14 +403,28 @@ export default function InputWithTags({
       }`;
     } else if (filterType === "min_score" || filterType === "max_score") {
       return Math.round(Number(filterValues) * 100).toString() + "%";
+    } else if (filterType === "min_speed" || filterType === "max_speed") {
+      return (
+        filterValues +
+        " " +
+        (config?.ui.unit_system == "metric"
+          ? t("unit.speed.kph", { ns: "common" })
+          : t("unit.speed.mph", { ns: "common" }))
+      );
     } else if (
       filterType === "has_clip" ||
       filterType === "has_snapshot" ||
       filterType === "is_submitted"
     ) {
-      return filterValues ? "Yes" : "No";
+      return filterValues
+        ? t("button.yes", { ns: "common" })
+        : t("button.no", { ns: "common" });
+    } else if (filterType === "labels") {
+      return getTranslatedLabel(String(filterValues));
+    } else if (filterType === "search_type") {
+      return t("filter.searchType." + String(filterValues));
     } else {
-      return filterValues as string;
+      return String(filterValues).replaceAll("_", " ");
     }
   }
 
@@ -397,7 +445,11 @@ export default function InputWithTags({
         ((filterType === "min_score" || filterType === "max_score") &&
           !isNaN(Number(trimmedValue)) &&
           Number(trimmedValue) >= 50 &&
-          Number(trimmedValue) <= 100)
+          Number(trimmedValue) <= 100) ||
+        ((filterType === "min_speed" || filterType === "max_speed") &&
+          !isNaN(Number(trimmedValue)) &&
+          Number(trimmedValue) >= 1 &&
+          Number(trimmedValue) <= 150)
       ) {
         createFilter(
           filterType,
@@ -608,7 +660,7 @@ export default function InputWithTags({
             onBlur={handleInputBlur}
             onKeyDown={handleInputKeyDown}
             className="text-md h-9 pr-32"
-            placeholder="Search..."
+            placeholder={t("placeholder.search")}
           />
           <div className="absolute right-3 top-0 flex h-full flex-row items-center justify-center gap-5">
             {(search || Object.keys(filters).length > 0) && (
@@ -620,7 +672,7 @@ export default function InputWithTags({
                   />
                 </TooltipTrigger>
                 <TooltipPortal>
-                  <TooltipContent>Clear search</TooltipContent>
+                  <TooltipContent>{t("button.clear")}</TooltipContent>
                 </TooltipPortal>
               </Tooltip>
             )}
@@ -634,7 +686,7 @@ export default function InputWithTags({
                   />
                 </TooltipTrigger>
                 <TooltipPortal>
-                  <TooltipContent>Save search</TooltipContent>
+                  <TooltipContent>{t("button.save")}</TooltipContent>
                 </TooltipPortal>
               </Tooltip>
             )}
@@ -643,12 +695,14 @@ export default function InputWithTags({
               <Tooltip>
                 <TooltipTrigger className="cursor-default">
                   <MdImageSearch
-                    aria-label="Similarity search active"
+                    aria-label={t("similaritySearch.active")}
                     className="size-4 text-selected"
                   />
                 </TooltipTrigger>
                 <TooltipPortal>
-                  <TooltipContent>Similarity search active</TooltipContent>
+                  <TooltipContent>
+                    {t("similaritySearch.active")}
+                  </TooltipContent>
                 </TooltipPortal>
               </Tooltip>
             )}
@@ -657,10 +711,10 @@ export default function InputWithTags({
               <PopoverTrigger asChild>
                 <button
                   className="focus:outline-none"
-                  aria-label="Filter information"
+                  aria-label={t("button.filterInformation")}
                 >
                   <LuFilter
-                    aria-label="Filters active"
+                    aria-label={t("button.filterActive")}
                     className={cn(
                       "size-4",
                       Object.keys(filters).length > 0
@@ -672,39 +726,31 @@ export default function InputWithTags({
               </PopoverTrigger>
               <PopoverContent className="w-80">
                 <div className="space-y-2">
-                  <h3 className="font-medium">How to use text filters</h3>
+                  <h3 className="font-medium">{t("filter.tips.title")}</h3>
                   <p className="text-sm text-muted-foreground">
-                    Filters help you narrow down your search results. Here's how
-                    to use them in the input field:
+                    {t("filter.tips.desc.text")}
                   </p>
                   <ul className="list-disc pl-5 text-sm text-primary-variant">
+                    <li>{t("filter.tips.desc.step1")}</li>
+                    <li>{t("filter.tips.desc.step2")}</li>
+                    <li>{t("filter.tips.desc.step3")}</li>
                     <li>
-                      Type a filter name followed by a colon (e.g., "cameras:").
+                      {t("filter.tips.desc.step4", {
+                        DateFormat: getIntlDateFormat(),
+                      })}
                     </li>
                     <li>
-                      Select a value from the suggestions or type your own.
+                      {t("filter.tips.desc.step5", {
+                        exampleTime:
+                          config?.ui.time_format == "24hour"
+                            ? "15:00-16:00"
+                            : "3:00PM-4:00PM",
+                      })}
                     </li>
-                    <li>
-                      Use multiple filters by adding them one after another with
-                      a space in between.
-                    </li>
-                    <li>
-                      Date filters (before: and after:) use{" "}
-                      <em>{getIntlDateFormat()}</em> format.
-                    </li>
-                    <li>
-                      Time range filter uses{" "}
-                      <em>
-                        {config?.ui.time_format == "24hour"
-                          ? "15:00-16:00"
-                          : "3:00PM-4:00PM"}{" "}
-                      </em>
-                      format.
-                    </li>
-                    <li>Remove filters by clicking the 'x' next to them.</li>
+                    <li>{t("filter.tips.desc.step6")}</li>
                   </ul>
                   <p className="text-sm text-muted-foreground">
-                    Example:{" "}
+                    {t("filter.tips.desc.exampleLabel")}{" "}
                     <code className="text-primary">
                       cameras:front_door label:person before:01012024
                       time_range:3:00PM-4:00PM
@@ -716,12 +762,18 @@ export default function InputWithTags({
 
             {inputFocused ? (
               <LuChevronUp
-                onClick={() => setInputFocused(false)}
+                onClick={() => {
+                  setInputFocused(false);
+                  inputRef.current?.blur();
+                }}
                 className="size-4 cursor-pointer text-secondary-foreground"
               />
             ) : (
               <LuChevronDown
-                onClick={() => setInputFocused(true)}
+                onClick={() => {
+                  setInputFocused(true);
+                  inputRef.current?.focus();
+                }}
                 className="size-4 cursor-pointer text-secondary-foreground"
               />
             )}
@@ -731,31 +783,33 @@ export default function InputWithTags({
         <CommandList
           className={cn(
             "scrollbar-container border-t duration-200 animate-in fade-in",
-            inputFocused ? "visible" : "hidden",
+            inputFocused && inputRef.current?.matches(":focus")
+              ? "visible"
+              : "hidden",
           )}
         >
           {!currentFilterType && inputValue && (
-            <CommandGroup heading="Search">
+            <CommandGroup heading={t("search")}>
               <CommandItem
                 className="cursor-pointer"
                 onSelect={() => handleSearch(inputValue)}
               >
                 <LuSearch className="mr-2 h-4 w-4" />
-                Search for "{inputValue}"
+                {t("searchFor", { inputValue })}
               </CommandItem>
             </CommandGroup>
           )}
           {(Object.keys(filters).filter((key) => key !== "query").length > 0 ||
             isSimilaritySearch) && (
-            <CommandGroup heading="Active Filters">
+            <CommandGroup heading={t("filter.header.activeFilters")}>
               <div className="my-2 flex flex-wrap gap-2 px-2">
                 {isSimilaritySearch && (
                   <span className="inline-flex items-center whitespace-nowrap rounded-full bg-blue-100 px-2 py-0.5 text-sm text-blue-800">
-                    Similarity Search
+                    {t("similaritySearch.title")}
                     <button
                       onClick={handleClearSimilarity}
                       className="ml-1 focus:outline-none"
-                      aria-label="Clear similarity search"
+                      aria-label={t("similaritySearch.clear")}
                     >
                       <LuX className="h-3 w-3" />
                     </button>
@@ -769,10 +823,12 @@ export default function InputWithTags({
                         .map((value, index) => (
                           <span
                             key={`${filterType}-${index}`}
-                            className="inline-flex items-center whitespace-nowrap rounded-full bg-green-100 px-2 py-0.5 text-sm capitalize text-green-800"
+                            className="inline-flex items-center whitespace-nowrap rounded-full bg-green-100 px-2 py-0.5 text-sm text-green-800 smart-capitalize"
                           >
-                            {filterType.replaceAll("_", " ")}:{" "}
-                            {value.replaceAll("_", " ")}
+                            {t("filter.label." + filterType)}:{" "}
+                            {filterType === "labels"
+                              ? getTranslatedLabel(value)
+                              : value.replaceAll("_", " ")}
                             <button
                               onClick={() =>
                                 removeFilter(filterType as FilterType, value)
@@ -787,13 +843,15 @@ export default function InputWithTags({
                     : !(filterType == "event_id" && isSimilaritySearch) && (
                         <span
                           key={filterType}
-                          className="inline-flex items-center whitespace-nowrap rounded-full bg-green-100 px-2 py-0.5 text-sm capitalize text-green-800"
+                          className="inline-flex items-center whitespace-nowrap rounded-full bg-green-100 px-2 py-0.5 text-sm text-green-800 smart-capitalize"
                         >
                           {filterType === "event_id"
-                            ? "Tracked Object ID"
+                            ? t("trackedObjectId")
                             : filterType === "is_submitted"
-                              ? "Submitted to Frigate+"
-                              : filterType.replaceAll("_", " ")}
+                              ? t("features.submittedToFrigatePlus.label", {
+                                  ns: "components/filter",
+                                })
+                              : t("filter.label." + filterType)}
                           : {formatFilterValues(filterType, filterValues)}
                           <button
                             onClick={() =>
@@ -818,7 +876,7 @@ export default function InputWithTags({
             !inputValue &&
             searchHistoryLoaded &&
             (searchHistory?.length ?? 0) > 0 && (
-              <CommandGroup heading="Saved Searches">
+              <CommandGroup heading={t("savedSearches")}>
                 {searchHistory?.map((suggestion, index) => (
                   <CommandItem
                     key={index}
@@ -839,7 +897,7 @@ export default function InputWithTags({
                         </button>
                       </TooltipTrigger>
                       <TooltipPortal>
-                        <TooltipContent>Delete saved search</TooltipContent>
+                        <TooltipContent>{t("button.delete")}</TooltipContent>
                       </TooltipPortal>
                     </Tooltip>
                   </CommandItem>
@@ -847,7 +905,11 @@ export default function InputWithTags({
               </CommandGroup>
             )}
           <CommandGroup
-            heading={currentFilterType ? "Filter Values" : "Filters"}
+            heading={
+              currentFilterType
+                ? t("filter.header.currentFilterType")
+                : t("filter.header.noFilters")
+            }
           >
             {filterSuggestions(suggestions)
               .filter(
@@ -860,7 +922,17 @@ export default function InputWithTags({
                   className="cursor-pointer"
                   onSelect={() => handleSuggestionClick(suggestion)}
                 >
-                  {suggestion}
+                  {i18n.language === "en" ? (
+                    suggestion
+                  ) : (
+                    <>
+                      {suggestion} {" ("}
+                      {currentFilterType
+                        ? formatFilterValues(currentFilterType, suggestion)
+                        : t("filter.label." + suggestion)}
+                      {")"}
+                    </>
+                  )}
                 </CommandItem>
               ))}
           </CommandGroup>
diff --git a/web/src/components/input/SaveSearchDialog.tsx b/web/src/components/input/SaveSearchDialog.tsx
index 322a76421..5eebdda74 100644
--- a/web/src/components/input/SaveSearchDialog.tsx
+++ b/web/src/components/input/SaveSearchDialog.tsx
@@ -12,6 +12,7 @@ import { Input } from "@/components/ui/input";
 import { useMemo, useState } from "react";
 import { isMobile } from "react-device-detect";
 import { toast } from "sonner";
+import { useTranslation } from "react-i18next";
 
 type SaveSearchDialogProps = {
   existingNames: string[];
@@ -26,15 +27,22 @@ export function SaveSearchDialog({
   onClose,
   onSave,
 }: SaveSearchDialogProps) {
+  const { t } = useTranslation(["components/dialog"]);
+
   const [searchName, setSearchName] = useState("");
 
   const handleSave = () => {
     if (searchName.trim()) {
       onSave(searchName.trim());
       setSearchName("");
-      toast.success(`Search (${searchName.trim()}) has been saved.`, {
-        position: "top-center",
-      });
+      toast.success(
+        t("search.saveSearch.success", {
+          searchName: searchName.trim(),
+        }),
+        {
+          position: "top-center",
+        },
+      );
       onClose();
     }
   };
@@ -54,34 +62,36 @@ export function SaveSearchDialog({
         }}
       >
         <DialogHeader>
-          <DialogTitle>Save Search</DialogTitle>
+          <DialogTitle>{t("search.saveSearch.label")}</DialogTitle>
           <DialogDescription className="sr-only">
-            Provide a name for this saved search.
+            {t("search.saveSearch.desc")}
           </DialogDescription>
         </DialogHeader>
         <Input
           value={searchName}
           className="text-md"
           onChange={(e) => setSearchName(e.target.value)}
-          placeholder="Enter a name for your search"
+          placeholder={t("search.saveSearch.placeholder")}
         />
         {overwrite && (
           <div className="ml-1 text-sm text-danger">
-            {searchName} already exists. Saving will overwrite the existing
-            value.
+            {t("search.saveSearch.overwrite", { searchName })}
           </div>
         )}
         <DialogFooter>
-          <Button aria-label="Cancel" onClick={onClose}>
-            Cancel
+          <Button
+            aria-label={t("button.cancel", { ns: "common" })}
+            onClick={onClose}
+          >
+            {t("button.cancel", { ns: "common" })}
           </Button>
           <Button
             onClick={handleSave}
             variant="select"
             className="mb-2 md:mb-0"
-            aria-label="Save this search"
+            aria-label={t("search.saveSearch.button.save.label")}
           >
-            Save
+            {t("button.save", { ns: "common" })}
           </Button>
         </DialogFooter>
       </DialogContent>
diff --git a/web/src/components/input/TextEntry.tsx b/web/src/components/input/TextEntry.tsx
new file mode 100644
index 000000000..e266444c7
--- /dev/null
+++ b/web/src/components/input/TextEntry.tsx
@@ -0,0 +1,86 @@
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { zodResolver } from "@hookform/resolvers/zod";
+import React, { useCallback } from "react";
+import { useForm } from "react-hook-form";
+
+import { z } from "zod";
+
+type TextEntryProps = {
+  defaultValue?: string;
+  placeholder?: string;
+  allowEmpty?: boolean;
+  onSave: (text: string) => void;
+  children?: React.ReactNode;
+  regexPattern?: RegExp;
+  regexErrorMessage?: string;
+};
+
+export default function TextEntry({
+  defaultValue = "",
+  placeholder,
+  allowEmpty = false,
+  onSave,
+  children,
+  regexPattern,
+  regexErrorMessage = "Input does not match the required format",
+}: TextEntryProps) {
+  const formSchema = z.object({
+    text: z
+      .string()
+      .optional()
+      .refine(
+        (val) => {
+          if (!allowEmpty && !val) return false;
+          if (val && regexPattern) return regexPattern.test(val);
+          return true;
+        },
+        {
+          message: regexPattern ? regexErrorMessage : "Field is required",
+        },
+      ),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    defaultValues: { text: defaultValue },
+  });
+
+  const onSubmit = useCallback(
+    (data: z.infer<typeof formSchema>) => {
+      onSave(data.text || "");
+    },
+    [onSave],
+  );
+
+  return (
+    <Form {...form}>
+      <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+        <FormField
+          control={form.control}
+          name="text"
+          render={({ field }) => (
+            <FormItem>
+              <FormControl>
+                <Input
+                  {...field}
+                  className="text-md w-full"
+                  placeholder={placeholder}
+                  type="text"
+                />
+              </FormControl>
+              <FormMessage className="text-xs text-destructive" />
+            </FormItem>
+          )}
+        />
+        {children}
+      </form>
+    </Form>
+  );
+}
diff --git a/web/src/components/menu/AccountSettings.tsx b/web/src/components/menu/AccountSettings.tsx
index 0bc968061..723aa0ccc 100644
--- a/web/src/components/menu/AccountSettings.tsx
+++ b/web/src/components/menu/AccountSettings.tsx
@@ -15,29 +15,71 @@ import {
   DropdownMenuLabel,
   DropdownMenuSeparator,
   DropdownMenuTrigger,
-} from "../ui/dropdown-menu";
-import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
-import { DialogClose } from "../ui/dialog";
-import { LuLogOut } from "react-icons/lu";
+} from "@/components/ui/dropdown-menu";
+import {
+  Drawer,
+  DrawerContent,
+  DrawerTrigger,
+  DrawerClose,
+} from "@/components/ui/drawer";
+import { LuLogOut, LuSquarePen } from "react-icons/lu";
 import useSWR from "swr";
 
+import { useState } from "react";
+import axios from "axios";
+import { toast } from "sonner";
+import SetPasswordDialog from "../overlay/SetPasswordDialog";
+import { useTranslation } from "react-i18next";
+
 type AccountSettingsProps = {
   className?: string;
 };
+
 export default function AccountSettings({ className }: AccountSettingsProps) {
+  const { t } = useTranslation(["views/settings", "common"]);
   const { data: profile } = useSWR("profile");
   const { data: config } = useSWR("config");
   const logoutUrl = config?.proxy?.logout_url || `${baseUrl}api/logout`;
 
+  const [passwordDialogOpen, setPasswordDialogOpen] = useState(false);
+
   const Container = isDesktop ? DropdownMenu : Drawer;
   const Trigger = isDesktop ? DropdownMenuTrigger : DrawerTrigger;
   const Content = isDesktop ? DropdownMenuContent : DrawerContent;
-  const MenuItem = isDesktop ? DropdownMenuItem : DialogClose;
+  const MenuItem = isDesktop ? DropdownMenuItem : DrawerClose;
+
+  const handlePasswordSave = async (password: string) => {
+    if (!profile?.username || profile.username === "anonymous") return;
+    axios
+      .put(`users/${profile.username}/password`, { password })
+      .then((response) => {
+        if (response.status === 200) {
+          setPasswordDialogOpen(false);
+          toast.success(t("users.toast.success.updatePassword"), {
+            position: "top-center",
+          });
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("users.toast.error.setPasswordFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
+      });
+  };
 
   return (
     <Container modal={!isDesktop}>
-      <Trigger>
-        <Tooltip>
+      <Tooltip>
+        <Trigger asChild>
           <TooltipTrigger asChild>
             <div
               className={cn(
@@ -51,36 +93,70 @@ export default function AccountSettings({ className }: AccountSettingsProps) {
               <VscAccount className="size-5 md:m-[6px]" />
             </div>
           </TooltipTrigger>
-          <TooltipPortal>
-            <TooltipContent side="right">
-              <p>Account</p>
-            </TooltipContent>
-          </TooltipPortal>
-        </Tooltip>
-      </Trigger>
+        </Trigger>
+        <TooltipPortal>
+          <TooltipContent side="right" sideOffset={5}>
+            <p>{t("menu.user.account", { ns: "common" })}</p>
+          </TooltipContent>
+        </TooltipPortal>
+      </Tooltip>
+
       <Content
-        className={
-          isDesktop ? "mr-5 w-72" : "max-h-[75dvh] overflow-hidden p-2"
-        }
+        className={cn(
+          isDesktop ? "mr-5 w-72" : "max-h-[75dvh] overflow-hidden p-4",
+        )}
       >
         <div className="scrollbar-container w-full flex-col overflow-y-auto overflow-x-hidden">
-          <DropdownMenuLabel>
-            Current User: {profile?.username || "anonymous"}
+          <DropdownMenuLabel className="flex flex-col gap-1.5">
+            <div>
+              {t("menu.user.current", {
+                ns: "common",
+                user:
+                  profile?.username ||
+                  t("menu.user.anonymous", { ns: "common" }),
+              })}{" "}
+              {t("role." + profile?.role) &&
+                `(${t("role." + profile?.role, { ns: "common" })})`}
+            </div>
           </DropdownMenuLabel>
-          <DropdownMenuSeparator className={isDesktop ? "mt-3" : "mt-1"} />
+
+          <DropdownMenuSeparator className={isDesktop ? "my-2" : "my-2"} />
+
+          {profile?.username && profile.username !== "anonymous" && (
+            <MenuItem
+              className={cn(
+                "flex w-full items-center gap-2",
+                isDesktop ? "cursor-pointer" : "p-2 text-sm",
+              )}
+              aria-label={t("menu.user.setPassword", { ns: "common" })}
+              onClick={() => setPasswordDialogOpen(true)}
+            >
+              <LuSquarePen className="mr-2 size-4" />
+              <span>{t("menu.user.setPassword", { ns: "common" })}</span>
+            </MenuItem>
+          )}
+
           <MenuItem
-            className={
-              isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
-            }
-            aria-label="Log out"
+            className={cn(
+              "flex w-full items-center gap-2",
+              isDesktop ? "cursor-pointer" : "p-2 text-sm",
+            )}
+            asChild
+            aria-label={t("menu.user.logout", { ns: "common" })}
           >
-            <a className="flex" href={logoutUrl}>
+            <a href={logoutUrl} className="flex items-center gap-2">
               <LuLogOut className="mr-2 size-4" />
-              <span>Logout</span>
+              <span>{t("menu.user.logout", { ns: "common" })}</span>
             </a>
           </MenuItem>
         </div>
       </Content>
+      <SetPasswordDialog
+        show={passwordDialogOpen}
+        onSave={handlePasswordSave}
+        onCancel={() => setPasswordDialogOpen(false)}
+        username={profile?.username}
+      />
     </Container>
   );
 }
diff --git a/web/src/components/menu/GeneralSettings.tsx b/web/src/components/menu/GeneralSettings.tsx
index 7473d26d7..c4ccdff84 100644
--- a/web/src/components/menu/GeneralSettings.tsx
+++ b/web/src/components/menu/GeneralSettings.tsx
@@ -1,11 +1,13 @@
 import {
   LuActivity,
   LuGithub,
+  LuLanguages,
   LuLifeBuoy,
   LuList,
   LuLogOut,
   LuMoon,
-  LuPenSquare,
+  LuSquarePen,
+  LuScanFace,
   LuRotateCw,
   LuSettings,
   LuSun,
@@ -24,7 +26,6 @@ import {
   DropdownMenuSubTrigger,
   DropdownMenuTrigger,
 } from "../ui/dropdown-menu";
-
 import { Link } from "react-router-dom";
 import { CgDarkMode } from "react-icons/cg";
 import {
@@ -33,10 +34,8 @@ import {
   useTheme,
 } from "@/context/theme-provider";
 import { IoColorPalette } from "react-icons/io5";
-
-import { useState } from "react";
+import { useMemo, useState } from "react";
 import { useRestart } from "@/api/ws";
-
 import {
   Tooltip,
   TooltipContent,
@@ -56,20 +55,57 @@ import { cn } from "@/lib/utils";
 import useSWR from "swr";
 import RestartDialog from "../overlay/dialog/RestartDialog";
 
+import { useLanguage } from "@/context/language-provider";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import SetPasswordDialog from "../overlay/SetPasswordDialog";
+import { toast } from "sonner";
+import axios from "axios";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useTranslation } from "react-i18next";
+import { supportedLanguageKeys } from "@/lib/const";
+
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
 type GeneralSettingsProps = {
   className?: string;
 };
+
 export default function GeneralSettings({ className }: GeneralSettingsProps) {
+  const { t } = useTranslation(["common", "views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const { data: profile } = useSWR("profile");
-  const { data: config } = useSWR("config");
+  const { data: config } = useSWR<FrigateConfig>("config");
   const logoutUrl = config?.proxy?.logout_url || "/api/logout";
 
+  // languages
+
+  const languages = useMemo(() => {
+    // Handle language keys that aren't directly used for translation key
+    const specialKeyMap: { [key: string]: string } = {
+      "nb-NO": "nb",
+      "yue-Hant": "yue",
+      "zh-CN": "zhCN",
+      "pt-BR": "ptBR",
+    };
+
+    return supportedLanguageKeys.map((key) => {
+      return {
+        code: key,
+        label: t(`menu.language.${specialKeyMap[key] || key}`),
+      };
+    });
+  }, [t]);
+
   // settings
 
+  const { language, setLanguage } = useLanguage();
   const { theme, colorScheme, setTheme, setColorScheme } = useTheme();
   const [restartDialogOpen, setRestartDialogOpen] = useState(false);
+  const [passwordDialogOpen, setPasswordDialogOpen] = useState(false);
   const { send: sendRestart } = useRestart();
 
+  const isAdmin = useIsAdmin();
+
   const Container = isDesktop ? DropdownMenu : Drawer;
   const Trigger = isDesktop ? DropdownMenuTrigger : DrawerTrigger;
   const Content = isDesktop ? DropdownMenuContent : DrawerContent;
@@ -79,6 +115,40 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
   const SubItemContent = isDesktop ? DropdownMenuSubContent : DialogContent;
   const Portal = isDesktop ? DropdownMenuPortal : DialogPortal;
 
+  const handlePasswordSave = async (password: string) => {
+    if (!profile?.username || profile.username === "anonymous") return;
+    axios
+      .put(`users/${profile.username}/password`, { password })
+      .then((response) => {
+        if (response.status === 200) {
+          setPasswordDialogOpen(false);
+          toast.success(
+            t("users.toast.success.updatePassword", {
+              ns: "views/settings",
+            }),
+            {
+              position: "top-center",
+            },
+          );
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("users.toast.error.setPasswordFailed", {
+            ns: "views/settings",
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
+      });
+  };
+
   return (
     <>
       <Container modal={!isDesktop}>
@@ -99,7 +169,7 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
             </TooltipTrigger>
             <TooltipPortal>
               <TooltipContent side="right">
-                <p>Settings</p>
+                <p>{t("menu.settings")}</p>
               </TooltipContent>
             </TooltipPortal>
           </Tooltip>
@@ -121,60 +191,84 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
         >
           <div className="scrollbar-container w-full flex-col overflow-y-auto overflow-x-hidden">
             {isMobile && (
-              <>
+              <div className="mb-2">
                 <DropdownMenuLabel>
-                  Current User: {profile?.username || "anonymous"}
+                  {t("menu.user.current", {
+                    user: profile?.username || t("menu.user.anonymous"),
+                  })}{" "}
+                  {t("role." + profile?.role) &&
+                    `(${t("role." + profile?.role)})`}
                 </DropdownMenuLabel>
                 <DropdownMenuSeparator
                   className={isDesktop ? "mt-3" : "mt-1"}
                 />
+                {profile?.username && profile.username !== "anonymous" && (
+                  <MenuItem
+                    className={
+                      isDesktop
+                        ? "cursor-pointer"
+                        : "flex items-center p-2 text-sm"
+                    }
+                    aria-label={t("menu.user.setPassword", { ns: "common" })}
+                    onClick={() => setPasswordDialogOpen(true)}
+                  >
+                    <LuSquarePen className="mr-2 size-4" />
+                    <span>{t("menu.user.setPassword", { ns: "common" })}</span>
+                  </MenuItem>
+                )}
                 <MenuItem
                   className={
                     isDesktop
                       ? "cursor-pointer"
                       : "flex items-center p-2 text-sm"
                   }
-                  aria-label="Log out"
+                  aria-label={t("menu.user.logout", { ns: "common" })}
                 >
                   <a className="flex" href={logoutUrl}>
                     <LuLogOut className="mr-2 size-4" />
-                    <span>Logout</span>
+                    <span>{t("menu.user.logout", { ns: "common" })}</span>
                   </a>
                 </MenuItem>
+              </div>
+            )}
+            {isAdmin && (
+              <>
+                <DropdownMenuLabel>{t("menu.system")}</DropdownMenuLabel>
+                <DropdownMenuSeparator />
+                <DropdownMenuGroup className={isDesktop ? "" : "flex flex-col"}>
+                  <Link to="/system#general">
+                    <MenuItem
+                      className={
+                        isDesktop
+                          ? "cursor-pointer"
+                          : "flex w-full items-center p-2 text-sm"
+                      }
+                      aria-label={t("menu.systemMetrics")}
+                    >
+                      <LuActivity className="mr-2 size-4" />
+                      <span>{t("menu.systemMetrics")}</span>
+                    </MenuItem>
+                  </Link>
+                  <Link to="/logs">
+                    <MenuItem
+                      className={
+                        isDesktop
+                          ? "cursor-pointer"
+                          : "flex w-full items-center p-2 text-sm"
+                      }
+                      aria-label={t("menu.systemLogs")}
+                    >
+                      <LuList className="mr-2 size-4" />
+                      <span>{t("menu.systemLogs")}</span>
+                    </MenuItem>
+                  </Link>
+                </DropdownMenuGroup>
               </>
             )}
-            <DropdownMenuLabel>System</DropdownMenuLabel>
-            <DropdownMenuSeparator />
-            <DropdownMenuGroup className={isDesktop ? "" : "flex flex-col"}>
-              <Link to="/system#general">
-                <MenuItem
-                  className={
-                    isDesktop
-                      ? "cursor-pointer"
-                      : "flex w-full items-center p-2 text-sm"
-                  }
-                  aria-label="System metrics"
-                >
-                  <LuActivity className="mr-2 size-4" />
-                  <span>System metrics</span>
-                </MenuItem>
-              </Link>
-              <Link to="/logs">
-                <MenuItem
-                  className={
-                    isDesktop
-                      ? "cursor-pointer"
-                      : "flex w-full items-center p-2 text-sm"
-                  }
-                  aria-label="System logs"
-                >
-                  <LuList className="mr-2 size-4" />
-                  <span>System logs</span>
-                </MenuItem>
-              </Link>
-            </DropdownMenuGroup>
-            <DropdownMenuLabel className={isDesktop ? "mt-3" : "mt-1"}>
-              Configuration
+            <DropdownMenuLabel
+              className={isDesktop && isAdmin ? "mt-3" : "mt-1"}
+            >
+              {t("menu.configuration")}
             </DropdownMenuLabel>
             <DropdownMenuSeparator />
             <DropdownMenuGroup>
@@ -185,162 +279,219 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
                       ? "cursor-pointer"
                       : "flex w-full items-center p-2 text-sm"
                   }
-                  aria-label="Settings"
+                  aria-label={t("menu.settings")}
                 >
                   <LuSettings className="mr-2 size-4" />
-                  <span>Settings</span>
+                  <span>{t("menu.settings")}</span>
                 </MenuItem>
               </Link>
-              <Link to="/config">
-                <MenuItem
-                  className={
-                    isDesktop
-                      ? "cursor-pointer"
-                      : "flex w-full items-center p-2 text-sm"
-                  }
-                  aria-label="Configuration editor"
-                >
-                  <LuPenSquare className="mr-2 size-4" />
-                  <span>Configuration editor</span>
-                </MenuItem>
-              </Link>
-              <DropdownMenuLabel className={isDesktop ? "mt-3" : "mt-1"}>
-                Appearance
-              </DropdownMenuLabel>
-              <DropdownMenuSeparator />
-              <SubItem>
-                <SubItemTrigger
-                  className={
-                    isDesktop
-                      ? "cursor-pointer"
-                      : "flex items-center p-2 text-sm"
-                  }
-                >
-                  <LuSunMoon className="mr-2 size-4" />
-                  <span>Dark Mode</span>
-                </SubItemTrigger>
-                <Portal>
-                  <SubItemContent
-                    className={
-                      isDesktop ? "" : "w-[92%] rounded-lg md:rounded-2xl"
-                    }
-                  >
-                    <span tabIndex={0} className="sr-only" />
+              {isAdmin && (
+                <>
+                  <Link to="/config">
                     <MenuItem
                       className={
                         isDesktop
                           ? "cursor-pointer"
-                          : "flex items-center p-2 text-sm"
+                          : "flex w-full items-center p-2 text-sm"
                       }
-                      aria-label="Light mode"
-                      onClick={() => setTheme("light")}
+                      aria-label={t("menu.configurationEditor")}
                     >
-                      {theme === "light" ? (
-                        <>
-                          <LuSun className="mr-2 size-4 rotate-0 scale-100 transition-all dark:-rotate-90 dark:scale-0" />
-                          Light
-                        </>
-                      ) : (
-                        <span className="ml-6 mr-2">Light</span>
-                      )}
+                      <LuSquarePen className="mr-2 size-4" />
+                      <span>{t("menu.configurationEditor")}</span>
                     </MenuItem>
+                  </Link>
+                </>
+              )}
+              {isAdmin && isMobile && config?.face_recognition.enabled && (
+                <>
+                  <Link to="/faces">
                     <MenuItem
-                      className={
-                        isDesktop
-                          ? "cursor-pointer"
-                          : "flex items-center p-2 text-sm"
-                      }
-                      aria-label="Dark mode"
-                      onClick={() => setTheme("dark")}
+                      className="flex w-full items-center p-2 text-sm"
+                      aria-label={t("menu.faceLibrary")}
                     >
-                      {theme === "dark" ? (
-                        <>
-                          <LuMoon className="mr-2 size-4 rotate-90 scale-0 transition-all dark:rotate-0 dark:scale-100" />
-                          Dark
-                        </>
-                      ) : (
-                        <span className="ml-6 mr-2">Dark</span>
-                      )}
+                      <LuScanFace className="mr-2 size-4" />
+                      <span>{t("menu.faceLibrary")}</span>
                     </MenuItem>
-                    <MenuItem
-                      className={
-                        isDesktop
-                          ? "cursor-pointer"
-                          : "flex items-center p-2 text-sm"
-                      }
-                      aria-label="Use the system settings for light or dark mode"
-                      onClick={() => setTheme("system")}
-                    >
-                      {theme === "system" ? (
-                        <>
-                          <CgDarkMode className="mr-2 size-4 scale-100 transition-all" />
-                          System
-                        </>
-                      ) : (
-                        <span className="ml-6 mr-2">System</span>
-                      )}
-                    </MenuItem>
-                  </SubItemContent>
-                </Portal>
-              </SubItem>
-              <SubItem>
-                <SubItemTrigger
-                  className={
-                    isDesktop
-                      ? "cursor-pointer"
-                      : "flex items-center p-2 text-sm"
-                  }
-                >
-                  <LuSunMoon className="mr-2 size-4" />
-                  <span>Theme</span>
-                </SubItemTrigger>
-                <Portal>
-                  <SubItemContent
-                    className={
-                      isDesktop ? "" : "w-[92%] rounded-lg md:rounded-2xl"
-                    }
-                  >
-                    <span tabIndex={0} className="sr-only" />
-                    {colorSchemes.map((scheme) => (
-                      <MenuItem
-                        key={scheme}
-                        className={
-                          isDesktop
-                            ? "cursor-pointer"
-                            : "flex items-center p-2 text-sm"
-                        }
-                        aria-label={`Color scheme - ${scheme}`}
-                        onClick={() => setColorScheme(scheme)}
-                      >
-                        {scheme === colorScheme ? (
-                          <>
-                            <IoColorPalette className="mr-2 size-4 rotate-0 scale-100 transition-all" />
-                            {friendlyColorSchemeName(scheme)}
-                          </>
-                        ) : (
-                          <span className="ml-6 mr-2">
-                            {friendlyColorSchemeName(scheme)}
-                          </span>
-                        )}
-                      </MenuItem>
-                    ))}
-                  </SubItemContent>
-                </Portal>
-              </SubItem>
+                  </Link>
+                </>
+              )}
             </DropdownMenuGroup>
             <DropdownMenuLabel className={isDesktop ? "mt-3" : "mt-1"}>
-              Help
+              {t("menu.appearance")}
             </DropdownMenuLabel>
             <DropdownMenuSeparator />
-            <a href="https://docs.frigate.video" target="_blank">
+            <SubItem>
+              <SubItemTrigger
+                className={
+                  isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
+                }
+              >
+                <LuLanguages className="mr-2 size-4" />
+                <span>{t("menu.languages")}</span>
+              </SubItemTrigger>
+              <Portal>
+                <SubItemContent
+                  className={
+                    isDesktop ? "" : "w-[92%] rounded-lg md:rounded-2xl"
+                  }
+                >
+                  <span tabIndex={0} className="sr-only" />
+                  {languages.map(({ code, label }) => (
+                    <MenuItem
+                      key={code}
+                      className={
+                        isDesktop
+                          ? "cursor-pointer"
+                          : "flex items-center p-2 text-sm"
+                      }
+                      aria-label={label}
+                      onClick={() => setLanguage(code)}
+                    >
+                      {language.trim() === code ? (
+                        <>
+                          <LuLanguages className="mr-2 size-4" />
+                          {label}
+                        </>
+                      ) : (
+                        <span className="ml-6 mr-2">{label}</span>
+                      )}
+                    </MenuItem>
+                  ))}
+                </SubItemContent>
+              </Portal>
+            </SubItem>
+            <SubItem>
+              <SubItemTrigger
+                className={
+                  isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
+                }
+              >
+                <LuSunMoon className="mr-2 size-4" />
+                <span>{t("menu.darkMode.label")}</span>
+              </SubItemTrigger>
+              <Portal>
+                <SubItemContent
+                  className={
+                    isDesktop ? "" : "w-[92%] rounded-lg md:rounded-2xl"
+                  }
+                >
+                  <span tabIndex={0} className="sr-only" />
+                  <MenuItem
+                    className={
+                      isDesktop
+                        ? "cursor-pointer"
+                        : "flex items-center p-2 text-sm"
+                    }
+                    aria-label={t("menu.darkMode.light")}
+                    onClick={() => setTheme("light")}
+                  >
+                    {theme === "light" ? (
+                      <>
+                        <LuSun className="mr-2 size-4 rotate-0 scale-100 transition-all dark:-rotate-90 dark:scale-0" />
+                        {t("menu.darkMode.light")}
+                      </>
+                    ) : (
+                      <span className="ml-6 mr-2">
+                        {t("menu.darkMode.light")}
+                      </span>
+                    )}
+                  </MenuItem>
+                  <MenuItem
+                    className={
+                      isDesktop
+                        ? "cursor-pointer"
+                        : "flex items-center p-2 text-sm"
+                    }
+                    aria-label={t("menu.darkMode.dark")}
+                    onClick={() => setTheme("dark")}
+                  >
+                    {theme === "dark" ? (
+                      <>
+                        <LuMoon className="mr-2 size-4 rotate-90 scale-0 transition-all dark:rotate-0 dark:scale-100" />
+                        {t("menu.darkMode.dark")}
+                      </>
+                    ) : (
+                      <span className="ml-6 mr-2">
+                        {t("menu.darkMode.dark")}
+                      </span>
+                    )}
+                  </MenuItem>
+                  <MenuItem
+                    className={
+                      isDesktop
+                        ? "cursor-pointer"
+                        : "flex items-center p-2 text-sm"
+                    }
+                    aria-label={t("menu.darkMode.withSystem.label")}
+                    onClick={() => setTheme("system")}
+                  >
+                    {theme === "system" ? (
+                      <>
+                        <CgDarkMode className="mr-2 size-4 scale-100 transition-all" />
+                        {t("menu.withSystem")}
+                      </>
+                    ) : (
+                      <span className="ml-6 mr-2">{t("menu.withSystem")}</span>
+                    )}
+                  </MenuItem>
+                </SubItemContent>
+              </Portal>
+            </SubItem>
+            <SubItem>
+              <SubItemTrigger
+                className={
+                  isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
+                }
+              >
+                <LuSunMoon className="mr-2 size-4" />
+                <span>{t("menu.theme.label")}</span>
+              </SubItemTrigger>
+              <Portal>
+                <SubItemContent
+                  className={
+                    isDesktop ? "" : "w-[92%] rounded-lg md:rounded-2xl"
+                  }
+                >
+                  <span tabIndex={0} className="sr-only" />
+                  {colorSchemes.map((scheme) => (
+                    <MenuItem
+                      key={scheme}
+                      className={
+                        isDesktop
+                          ? "cursor-pointer"
+                          : "flex items-center p-2 text-sm"
+                      }
+                      aria-label={`Color scheme - ${scheme}`}
+                      onClick={() => setColorScheme(scheme)}
+                    >
+                      {scheme === colorScheme ? (
+                        <>
+                          <IoColorPalette className="mr-2 size-4 rotate-0 scale-100 transition-all" />
+                          {t(friendlyColorSchemeName(scheme))}
+                        </>
+                      ) : (
+                        <span className="ml-6 mr-2">
+                          {t(friendlyColorSchemeName(scheme))}
+                        </span>
+                      )}
+                    </MenuItem>
+                  ))}
+                </SubItemContent>
+              </Portal>
+            </SubItem>
+            <DropdownMenuLabel className={isDesktop ? "mt-3" : "mt-1"}>
+              {t("menu.help")}
+            </DropdownMenuLabel>
+            <DropdownMenuSeparator />
+            <a href={getLocaleDocUrl("/")} target="_blank">
               <MenuItem
                 className={
                   isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
                 }
-                aria-label="Frigate documentation"
+                aria-label={t("menu.documentation.label")}
               >
                 <LuLifeBuoy className="mr-2 size-4" />
-                <span>Documentation</span>
+                <span>{t("menu.documentation.title")}</span>
               </MenuItem>
             </a>
             <a
@@ -357,17 +508,25 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
                 <span>GitHub</span>
               </MenuItem>
             </a>
-            <DropdownMenuSeparator className={isDesktop ? "mt-3" : "mt-1"} />
-            <MenuItem
-              className={
-                isDesktop ? "cursor-pointer" : "flex items-center p-2 text-sm"
-              }
-              aria-label="Restart Frigate"
-              onClick={() => setRestartDialogOpen(true)}
-            >
-              <LuRotateCw className="mr-2 size-4" />
-              <span>Restart Frigate</span>
-            </MenuItem>
+            {isAdmin && (
+              <>
+                <DropdownMenuSeparator
+                  className={isDesktop ? "mt-3" : "mt-1"}
+                />
+                <MenuItem
+                  className={
+                    isDesktop
+                      ? "cursor-pointer"
+                      : "flex items-center p-2 text-sm"
+                  }
+                  aria-label={t("menu.restart")}
+                  onClick={() => setRestartDialogOpen(true)}
+                >
+                  <LuRotateCw className="mr-2 size-4" />
+                  <span>{t("menu.restart")}</span>
+                </MenuItem>
+              </>
+            )}
           </div>
         </Content>
       </Container>
@@ -376,6 +535,12 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
         onClose={() => setRestartDialogOpen(false)}
         onRestart={() => sendRestart("restart")}
       />
+      <SetPasswordDialog
+        show={passwordDialogOpen}
+        onSave={handlePasswordSave}
+        onCancel={() => setPasswordDialogOpen(false)}
+        username={profile?.username}
+      />
     </>
   );
 }
diff --git a/web/src/components/menu/LiveContextMenu.tsx b/web/src/components/menu/LiveContextMenu.tsx
new file mode 100644
index 000000000..300bd2212
--- /dev/null
+++ b/web/src/components/menu/LiveContextMenu.tsx
@@ -0,0 +1,566 @@
+import {
+  ReactNode,
+  useCallback,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from "react";
+import {
+  ContextMenu,
+  ContextMenuContent,
+  ContextMenuItem,
+  ContextMenuSeparator,
+  ContextMenuSub,
+  ContextMenuSubContent,
+  ContextMenuSubTrigger,
+  ContextMenuTrigger,
+} from "@/components/ui/context-menu";
+import {
+  MdVolumeDown,
+  MdVolumeMute,
+  MdVolumeOff,
+  MdVolumeUp,
+} from "react-icons/md";
+import { Dialog } from "@/components/ui/dialog";
+import { VolumeSlider } from "@/components/ui/slider";
+import { CameraStreamingDialog } from "../settings/CameraStreamingDialog";
+import {
+  AllGroupsStreamingSettings,
+  FrigateConfig,
+  GroupStreamingSettings,
+} from "@/types/frigateConfig";
+import { useStreamingSettings } from "@/context/streaming-settings-provider";
+import {
+  IoIosNotifications,
+  IoIosNotificationsOff,
+  IoIosWarning,
+} from "react-icons/io";
+import { cn } from "@/lib/utils";
+import { useNavigate } from "react-router-dom";
+import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import {
+  useEnabledState,
+  useNotifications,
+  useNotificationSuspend,
+} from "@/api/ws";
+import { useTranslation } from "react-i18next";
+import { useDateLocale } from "@/hooks/use-date-locale";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+
+type LiveContextMenuProps = {
+  className?: string;
+  camera: string;
+  streamName: string;
+  cameraGroup?: string;
+  preferredLiveMode: string;
+  isRestreamed: boolean;
+  supportsAudio: boolean;
+  audioState: boolean;
+  toggleAudio: () => void;
+  volumeState?: number;
+  setVolumeState: (volumeState: number) => void;
+  muteAll: () => void;
+  unmuteAll: () => void;
+  statsState: boolean;
+  toggleStats: () => void;
+  resetPreferredLiveMode: () => void;
+  config?: FrigateConfig;
+  children?: ReactNode;
+};
+export default function LiveContextMenu({
+  className,
+  camera,
+  streamName,
+  cameraGroup,
+  preferredLiveMode,
+  isRestreamed,
+  supportsAudio,
+  audioState,
+  toggleAudio,
+  volumeState,
+  setVolumeState,
+  muteAll,
+  unmuteAll,
+  statsState,
+  toggleStats,
+  resetPreferredLiveMode,
+  config,
+  children,
+}: LiveContextMenuProps) {
+  const { t } = useTranslation("views/live");
+  const [showSettings, setShowSettings] = useState(false);
+
+  // roles
+
+  const isAdmin = useIsAdmin();
+
+  // camera enabled
+
+  const { payload: enabledState, send: sendEnabled } = useEnabledState(camera);
+  const isEnabled = enabledState === "ON";
+
+  // streaming settings
+
+  const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
+    useStreamingSettings();
+
+  const [groupStreamingSettings, setGroupStreamingSettings] =
+    useState<GroupStreamingSettings>(
+      allGroupsStreamingSettings[cameraGroup ?? ""],
+    );
+
+  useEffect(() => {
+    if (cameraGroup && cameraGroup != "default") {
+      setGroupStreamingSettings(allGroupsStreamingSettings[cameraGroup]);
+    }
+  }, [allGroupsStreamingSettings, cameraGroup]);
+
+  const onSave = useCallback(
+    (settings: GroupStreamingSettings) => {
+      if (
+        !cameraGroup ||
+        !allGroupsStreamingSettings ||
+        cameraGroup == "default" ||
+        !settings
+      ) {
+        return;
+      }
+
+      const updatedSettings: AllGroupsStreamingSettings = {
+        ...Object.fromEntries(
+          Object.entries(allGroupsStreamingSettings || {}).filter(
+            ([key]) => key !== cameraGroup,
+          ),
+        ),
+        [cameraGroup]: {
+          ...Object.fromEntries(
+            Object.entries(settings).map(([cameraName, cameraSettings]) => [
+              cameraName,
+              cameraName === camera
+                ? {
+                    ...cameraSettings,
+                    playAudio: audioState ?? cameraSettings.playAudio ?? false,
+                    volume: volumeState ?? cameraSettings.volume ?? 1,
+                  }
+                : cameraSettings,
+            ]),
+          ),
+          // Add the current camera if it doesn't exist
+          ...(!settings[camera]
+            ? {
+                [camera]: {
+                  streamName: streamName,
+                  streamType: "smart",
+                  compatibilityMode: false,
+                  playAudio: audioState,
+                  volume: volumeState ?? 1,
+                },
+              }
+            : {}),
+        },
+      };
+
+      setAllGroupsStreamingSettings?.(updatedSettings);
+    },
+    [
+      camera,
+      streamName,
+      cameraGroup,
+      allGroupsStreamingSettings,
+      setAllGroupsStreamingSettings,
+      audioState,
+      volumeState,
+    ],
+  );
+
+  // ui
+
+  const audioControlsUsed = useRef(false);
+
+  const VolumeIcon = useMemo(() => {
+    if (!volumeState || volumeState == 0.0 || !audioState) {
+      return MdVolumeOff;
+    } else if (volumeState <= 0.33) {
+      return MdVolumeMute;
+    } else if (volumeState <= 0.67) {
+      return MdVolumeDown;
+    } else {
+      return MdVolumeUp;
+    }
+    // only update when specific fields change
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [volumeState, audioState]);
+
+  const handleVolumeIconClick = (e: React.MouseEvent) => {
+    e.stopPropagation();
+    audioControlsUsed.current = true;
+    toggleAudio();
+  };
+
+  const handleVolumeChange = (value: number[]) => {
+    audioControlsUsed.current = true;
+    setVolumeState(value[0]);
+  };
+
+  const handleOpenChange = (open: boolean) => {
+    if (!open && audioControlsUsed.current) {
+      onSave(groupStreamingSettings);
+      audioControlsUsed.current = false;
+    }
+  };
+
+  // navigate for debug view
+
+  const navigate = useNavigate();
+
+  // notifications
+
+  const notificationsEnabledInConfig =
+    config?.cameras[camera]?.notifications?.enabled_in_config;
+
+  const { payload: notificationState, send: sendNotification } =
+    useNotifications(camera);
+  const { payload: notificationSuspendUntil, send: sendNotificationSuspend } =
+    useNotificationSuspend(camera);
+  const [isSuspended, setIsSuspended] = useState<boolean>(false);
+
+  useEffect(() => {
+    if (notificationSuspendUntil) {
+      setIsSuspended(
+        notificationSuspendUntil !== "0" || notificationState === "OFF",
+      );
+    }
+  }, [notificationSuspendUntil, notificationState]);
+
+  const handleSuspend = (duration: string) => {
+    if (duration === "off") {
+      sendNotification("OFF");
+    } else {
+      sendNotificationSuspend(Number.parseInt(duration));
+    }
+  };
+
+  const locale = useDateLocale();
+
+  const formatSuspendedUntil = (timestamp: string) => {
+    // Some languages require a change in word order
+    if (timestamp === "0") return t("time.untilForRestart", { ns: "common" });
+
+    const time = formatUnixTimestampToDateTime(parseInt(timestamp), {
+      time_style: "medium",
+      date_style: "medium",
+      timezone: config?.ui.timezone,
+      date_format:
+        config?.ui.time_format == "24hour"
+          ? t("time.formattedTimestampMonthDayHourMinute.24hour", {
+              ns: "common",
+            })
+          : t("time.formattedTimestampMonthDayHourMinute.12hour", {
+              ns: "common",
+            }),
+      locale: locale,
+    });
+    return t("time.untilForTime", { ns: "common", time });
+  };
+
+  return (
+    <div className={cn("w-full", className)}>
+      <ContextMenu key={camera} onOpenChange={handleOpenChange}>
+        <ContextMenuTrigger>{children}</ContextMenuTrigger>
+        <ContextMenuContent>
+          <div className="flex flex-col items-start gap-1 py-1 pl-2">
+            <div className="text-md text-primary-variant smart-capitalize">
+              {camera.replaceAll("_", " ")}
+            </div>
+            {preferredLiveMode == "jsmpeg" && isRestreamed && (
+              <div className="flex flex-row items-center gap-1">
+                <IoIosWarning className="mr-1 size-4 text-danger" />
+                <p className="mr-2 text-xs">{t("lowBandwidthMode")}</p>
+              </div>
+            )}
+          </div>
+          {preferredLiveMode != "jsmpeg" && isRestreamed && supportsAudio && (
+            <>
+              <ContextMenuSeparator className="mb-1" />
+              <div className="p-2 text-sm">
+                <div className="flex w-full flex-col gap-1">
+                  <p>{t("audio")}</p>
+                  <div className="flex flex-row items-center gap-1">
+                    <VolumeIcon
+                      className="size-5"
+                      onClick={handleVolumeIconClick}
+                    />
+                    <VolumeSlider
+                      disabled={!audioState || !isEnabled}
+                      className="my-3 ml-0.5 rounded-lg bg-background/60"
+                      value={[volumeState ?? 0]}
+                      min={0}
+                      max={1}
+                      step={0.02}
+                      onValueChange={handleVolumeChange}
+                    />
+                  </div>
+                </div>
+              </div>
+            </>
+          )}
+          <ContextMenuSeparator />
+          {isAdmin && (
+            <>
+              <ContextMenuItem>
+                <div
+                  className="flex w-full cursor-pointer items-center justify-start gap-2"
+                  onClick={() => sendEnabled(isEnabled ? "OFF" : "ON")}
+                >
+                  <div className="text-primary">
+                    {isEnabled ? t("camera.disable") : t("camera.enable")}
+                  </div>
+                </div>
+              </ContextMenuItem>
+              <ContextMenuSeparator />
+            </>
+          )}
+          <ContextMenuItem disabled={!isEnabled}>
+            <div
+              className="flex w-full cursor-pointer items-center justify-start gap-2"
+              onClick={isEnabled ? muteAll : undefined}
+            >
+              <div className="text-primary">{t("muteCameras.enable")}</div>
+            </div>
+          </ContextMenuItem>
+          <ContextMenuItem disabled={!isEnabled}>
+            <div
+              className="flex w-full cursor-pointer items-center justify-start gap-2"
+              onClick={isEnabled ? unmuteAll : undefined}
+            >
+              <div className="text-primary">{t("muteCameras.disable")}</div>
+            </div>
+          </ContextMenuItem>
+          <ContextMenuSeparator />
+          <ContextMenuItem disabled={!isEnabled}>
+            <div
+              className="flex w-full cursor-pointer items-center justify-start gap-2"
+              onClick={isEnabled ? toggleStats : undefined}
+            >
+              <div className="text-primary">
+                {statsState
+                  ? t("streamStats.disable")
+                  : t("streamStats.enable")}
+              </div>
+            </div>
+          </ContextMenuItem>
+          <ContextMenuItem disabled={!isEnabled}>
+            <div
+              className="flex w-full cursor-pointer items-center justify-start gap-2"
+              onClick={
+                isEnabled
+                  ? () => navigate(`/settings?page=debug&camera=${camera}`)
+                  : undefined
+              }
+            >
+              <div className="text-primary">
+                {t("streaming.debugView", {
+                  ns: "components/dialog",
+                })}
+              </div>
+            </div>
+          </ContextMenuItem>
+          {cameraGroup && cameraGroup !== "default" && (
+            <>
+              <ContextMenuSeparator />
+              <ContextMenuItem disabled={!isEnabled}>
+                <div
+                  className="flex w-full cursor-pointer items-center justify-start gap-2"
+                  onClick={isEnabled ? () => setShowSettings(true) : undefined}
+                >
+                  <div className="text-primary">{t("streamingSettings")}</div>
+                </div>
+              </ContextMenuItem>
+            </>
+          )}
+          {preferredLiveMode == "jsmpeg" && isRestreamed && (
+            <>
+              <ContextMenuSeparator />
+              <ContextMenuItem disabled={!isEnabled}>
+                <div
+                  className="flex w-full cursor-pointer items-center justify-start gap-2"
+                  onClick={isEnabled ? resetPreferredLiveMode : undefined}
+                >
+                  <div className="text-primary">
+                    {t("button.reset", { ns: "common" })}
+                  </div>
+                </div>
+              </ContextMenuItem>
+            </>
+          )}
+          {notificationsEnabledInConfig && isEnabled && (
+            <>
+              <ContextMenuSeparator />
+              <ContextMenuSub>
+                <ContextMenuSubTrigger disabled={!isEnabled}>
+                  <div className="flex items-center gap-2">
+                    <span>{t("notifications")}</span>
+                  </div>
+                </ContextMenuSubTrigger>
+                <ContextMenuSubContent>
+                  <div className="flex flex-col gap-0.5 px-2 py-1.5 text-sm font-medium">
+                    <div className="flex w-full items-center gap-1">
+                      {notificationState === "ON" ? (
+                        <>
+                          {isSuspended ? (
+                            <>
+                              <IoIosNotificationsOff className="size-5 text-muted-foreground" />
+                              <span>
+                                {t("button.suspended", { ns: "common" })}
+                              </span>
+                            </>
+                          ) : (
+                            <>
+                              <IoIosNotifications className="size-5 text-muted-foreground" />
+                              <span>
+                                {t("button.enabled", { ns: "common" })}
+                              </span>
+                            </>
+                          )}
+                        </>
+                      ) : (
+                        <>
+                          <IoIosNotificationsOff className="size-5 text-danger" />
+                          <span>{t("button.disabled", { ns: "common" })}</span>
+                        </>
+                      )}
+                    </div>
+                    {isSuspended && (
+                      <span className="text-xs text-primary-variant">
+                        {formatSuspendedUntil(notificationSuspendUntil)}
+                      </span>
+                    )}
+                  </div>
+
+                  {isSuspended ? (
+                    <>
+                      <ContextMenuSeparator />
+                      <ContextMenuItem
+                        disabled={!isEnabled}
+                        onClick={
+                          isEnabled
+                            ? () => {
+                                sendNotification("ON");
+                                sendNotificationSuspend(0);
+                              }
+                            : undefined
+                        }
+                      >
+                        <div className="flex w-full flex-col gap-2">
+                          {notificationState === "ON" ? (
+                            <span>
+                              {t("button.unsuspended", { ns: "common" })}
+                            </span>
+                          ) : (
+                            <span>{t("button.enable", { ns: "common" })}</span>
+                          )}
+                        </div>
+                      </ContextMenuItem>
+                    </>
+                  ) : (
+                    notificationState === "ON" && (
+                      <>
+                        <ContextMenuSeparator />
+                        <div className="px-2 py-1.5">
+                          <p className="mb-2 text-sm font-medium text-muted-foreground">
+                            {t("suspend.forTime")}
+                          </p>
+                          <div className="space-y-1">
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled ? () => handleSuspend("5") : undefined
+                              }
+                            >
+                              {t("time.5minutes", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("10")
+                                  : undefined
+                              }
+                            >
+                              {t("time.10minutes", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("30")
+                                  : undefined
+                              }
+                            >
+                              {t("time.30minutes", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("60")
+                                  : undefined
+                              }
+                            >
+                              {t("time.1hour", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("840")
+                                  : undefined
+                              }
+                            >
+                              {t("time.12hours", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("1440")
+                                  : undefined
+                              }
+                            >
+                              {t("time.24hours", { ns: "common" })}
+                            </ContextMenuItem>
+                            <ContextMenuItem
+                              disabled={!isEnabled}
+                              onClick={
+                                isEnabled
+                                  ? () => handleSuspend("off")
+                                  : undefined
+                              }
+                            >
+                              {t("time.untilRestart", { ns: "common" })}
+                            </ContextMenuItem>
+                          </div>
+                        </div>
+                      </>
+                    )
+                  )}
+                </ContextMenuSubContent>
+              </ContextMenuSub>
+            </>
+          )}
+        </ContextMenuContent>
+      </ContextMenu>
+
+      <Dialog open={showSettings} onOpenChange={setShowSettings}>
+        <CameraStreamingDialog
+          camera={camera}
+          groupStreamingSettings={groupStreamingSettings}
+          setGroupStreamingSettings={setGroupStreamingSettings}
+          setIsDialogOpen={setShowSettings}
+          onSave={onSave}
+        />
+      </Dialog>
+    </div>
+  );
+}
diff --git a/web/src/components/menu/SearchResultActions.tsx b/web/src/components/menu/SearchResultActions.tsx
index fee12a50f..1779430f0 100644
--- a/web/src/components/menu/SearchResultActions.tsx
+++ b/web/src/components/menu/SearchResultActions.tsx
@@ -4,7 +4,8 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { baseUrl } from "@/api/baseUrl";
 import { toast } from "sonner";
 import axios from "axios";
-import { LuCamera, LuDownload, LuMoreVertical, LuTrash2 } from "react-icons/lu";
+import { LuCamera, LuDownload, LuTrash2 } from "react-icons/lu";
+import { FiMoreVertical } from "react-icons/fi";
 import { FaArrowsRotate } from "react-icons/fa6";
 import { MdImageSearch } from "react-icons/md";
 import FrigatePlusIcon from "@/components/icons/FrigatePlusIcon";
@@ -39,6 +40,8 @@ import {
 } from "@/components/ui/tooltip";
 import useSWR from "swr";
 
+import { Trans, useTranslation } from "react-i18next";
+
 type SearchResultActionsProps = {
   searchResult: SearchResult;
   findSimilar: () => void;
@@ -58,6 +61,8 @@ export default function SearchResultActions({
   isContextMenu = false,
   children,
 }: SearchResultActionsProps) {
+  const { t } = useTranslation(["views/explore"]);
+
   const { data: config } = useSWR<FrigateConfig>("config");
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
@@ -67,16 +72,23 @@ export default function SearchResultActions({
       .delete(`events/${searchResult.id}`)
       .then((resp) => {
         if (resp.status == 200) {
-          toast.success("Tracked object deleted successfully.", {
+          toast.success(t("searchResult.deleteTrackedObject.toast.success"), {
             position: "top-center",
           });
           refreshResults();
         }
       })
-      .catch(() => {
-        toast.error("Failed to delete tracked object.", {
-          position: "top-center",
-        });
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("searchResult.deleteTrackedObject.toast.error", { errorMessage }),
+          {
+            position: "top-center",
+          },
+        );
       });
   };
 
@@ -85,45 +97,45 @@ export default function SearchResultActions({
   const menuItems = (
     <>
       {searchResult.has_clip && (
-        <MenuItem aria-label="Download video">
+        <MenuItem aria-label={t("itemMenu.downloadVideo.aria")}>
           <a
             className="flex items-center"
             href={`${baseUrl}api/events/${searchResult.id}/clip.mp4`}
             download={`${searchResult.camera}_${searchResult.label}.mp4`}
           >
             <LuDownload className="mr-2 size-4" />
-            <span>Download video</span>
+            <span>{t("itemMenu.downloadVideo.label")}</span>
           </a>
         </MenuItem>
       )}
       {searchResult.has_snapshot && (
-        <MenuItem aria-label="Download snapshot">
+        <MenuItem aria-label={t("itemMenu.downloadSnapshot.aria")}>
           <a
             className="flex items-center"
             href={`${baseUrl}api/events/${searchResult.id}/snapshot.jpg`}
             download={`${searchResult.camera}_${searchResult.label}.jpg`}
           >
             <LuCamera className="mr-2 size-4" />
-            <span>Download snapshot</span>
+            <span>{t("itemMenu.downloadSnapshot.label")}</span>
           </a>
         </MenuItem>
       )}
       {searchResult.data.type == "object" && (
         <MenuItem
-          aria-label="Show the object lifecycle"
+          aria-label={t("itemMenu.viewObjectLifecycle.aria")}
           onClick={showObjectLifecycle}
         >
           <FaArrowsRotate className="mr-2 size-4" />
-          <span>View object lifecycle</span>
+          <span>{t("itemMenu.viewObjectLifecycle.label")}</span>
         </MenuItem>
       )}
       {config?.semantic_search?.enabled && isContextMenu && (
         <MenuItem
-          aria-label="Find similar tracked objects"
+          aria-label={t("itemMenu.findSimilar.aria")}
           onClick={findSimilar}
         >
           <MdImageSearch className="mr-2 size-4" />
-          <span>Find similar</span>
+          <span>{t("itemMenu.findSimilar.label")}</span>
         </MenuItem>
       )}
       {isMobileOnly &&
@@ -132,17 +144,20 @@ export default function SearchResultActions({
         searchResult.end_time &&
         searchResult.data.type == "object" &&
         !searchResult.plus_id && (
-          <MenuItem aria-label="Submit to Frigate Plus" onClick={showSnapshot}>
+          <MenuItem
+            aria-label={t("itemMenu.submitToPlus.aria")}
+            onClick={showSnapshot}
+          >
             <FrigatePlusIcon className="mr-2 size-4 cursor-pointer text-primary" />
-            <span>Submit to Frigate+</span>
+            <span>{t("itemMenu.submitToPlus.label")}</span>
           </MenuItem>
         )}
       <MenuItem
-        aria-label="Delete this tracked object"
+        aria-label={t("itemMenu.deleteTrackedObject.label")}
         onClick={() => setDeleteDialogOpen(true)}
       >
         <LuTrash2 className="mr-2 size-4" />
-        <span>Delete</span>
+        <span>{t("button.delete", { ns: "common" })}</span>
       </MenuItem>
     </>
   );
@@ -155,24 +170,22 @@ export default function SearchResultActions({
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+            <AlertDialogTitle>
+              {t("dialog.confirmDelete.title")}
+            </AlertDialogTitle>
           </AlertDialogHeader>
           <AlertDialogDescription>
-            Deleting this tracked object removes the snapshot, any saved
-            embeddings, and any associated object lifecycle entries. Recorded
-            footage of this tracked object in History view will <em>NOT</em> be
-            deleted.
-            <br />
-            <br />
-            Are you sure you want to proceed?
+            <Trans ns="views/explore">dialog.confirmDelete.desc</Trans>
           </AlertDialogDescription>
           <AlertDialogFooter>
-            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
             <AlertDialogAction
               className={buttonVariants({ variant: "destructive" })}
               onClick={handleDelete}
             >
-              Delete
+              {t("button.delete", { ns: "common" })}
             </AlertDialogAction>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -193,7 +206,9 @@ export default function SearchResultActions({
                     onClick={findSimilar}
                   />
                 </TooltipTrigger>
-                <TooltipContent>Find similar</TooltipContent>
+                <TooltipContent>
+                  {t("itemMenu.findSimilar.label")}
+                </TooltipContent>
               </Tooltip>
             )}
 
@@ -210,13 +225,15 @@ export default function SearchResultActions({
                     onClick={showSnapshot}
                   />
                 </TooltipTrigger>
-                <TooltipContent>Submit to Frigate+</TooltipContent>
+                <TooltipContent>
+                  {t("itemMenu.submitToPlus.label")}
+                </TooltipContent>
               </Tooltip>
             )}
 
           <DropdownMenu>
             <DropdownMenuTrigger>
-              <LuMoreVertical className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
+              <FiMoreVertical className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
             </DropdownMenuTrigger>
             <DropdownMenuContent align="end">{menuItems}</DropdownMenuContent>
           </DropdownMenu>
diff --git a/web/src/components/mobile/MobilePage.tsx b/web/src/components/mobile/MobilePage.tsx
index 169b5e524..524e0839c 100644
--- a/web/src/components/mobile/MobilePage.tsx
+++ b/web/src/components/mobile/MobilePage.tsx
@@ -1,10 +1,18 @@
-import { createContext, useContext, useEffect, useState } from "react";
+import {
+  createContext,
+  useContext,
+  useEffect,
+  useState,
+  useCallback,
+} from "react";
 import { createPortal } from "react-dom";
 import { motion, AnimatePresence } from "framer-motion";
 import { IoMdArrowRoundBack } from "react-icons/io";
 import { cn } from "@/lib/utils";
 import { isPWA } from "@/utils/isPWA";
 import { Button } from "@/components/ui/button";
+import { useTranslation } from "react-i18next";
+import { useLocation } from "react-router-dom";
 
 const MobilePageContext = createContext<{
   open: boolean;
@@ -23,15 +31,47 @@ export function MobilePage({
   onOpenChange,
 }: MobilePageProps) {
   const [uncontrolledOpen, setUncontrolledOpen] = useState(false);
+  const location = useLocation();
 
   const open = controlledOpen ?? uncontrolledOpen;
-  const setOpen = (value: boolean) => {
-    if (onOpenChange) {
-      onOpenChange(value);
-    } else {
-      setUncontrolledOpen(value);
+  const setOpen = useCallback(
+    (value: boolean) => {
+      if (onOpenChange) {
+        onOpenChange(value);
+      } else {
+        setUncontrolledOpen(value);
+      }
+    },
+    [onOpenChange, setUncontrolledOpen],
+  );
+
+  useEffect(() => {
+    let isActive = true;
+
+    if (open && isActive) {
+      window.history.pushState({ isMobilePage: true }, "", location.pathname);
     }
-  };
+
+    const handlePopState = (event: PopStateEvent) => {
+      if (open && isActive) {
+        event.preventDefault();
+        setOpen(false);
+        // Delay replaceState to ensure state updates are processed
+        setTimeout(() => {
+          if (isActive) {
+            window.history.replaceState(null, "", location.pathname);
+          }
+        }, 0);
+      }
+    };
+
+    window.addEventListener("popstate", handlePopState);
+
+    return () => {
+      isActive = false;
+      window.removeEventListener("popstate", handlePopState);
+    };
+  }, [open, setOpen, location.pathname]);
 
   return (
     <MobilePageContext.Provider value={{ open, onOpenChange: setOpen }}>
@@ -138,6 +178,7 @@ export function MobilePageHeader({
   onClose,
   ...props
 }: MobilePageHeaderProps) {
+  const { t } = useTranslation(["common"]);
   const context = useContext(MobilePageContext);
   if (!context)
     throw new Error("MobilePageHeader must be used within MobilePage");
@@ -160,7 +201,7 @@ export function MobilePageHeader({
     >
       <Button
         className="absolute left-0 rounded-lg"
-        aria-label="Go back"
+        aria-label={t("label.back", { ns: "common" })}
         size="sm"
         onClick={handleClose}
       >
diff --git a/web/src/components/navigation/Bottombar.tsx b/web/src/components/navigation/Bottombar.tsx
index 84d9fc4fc..0c344363b 100644
--- a/web/src/components/navigation/Bottombar.tsx
+++ b/web/src/components/navigation/Bottombar.tsx
@@ -16,6 +16,7 @@ import { Link } from "react-router-dom";
 import { cn } from "@/lib/utils";
 import { isIOS, isMobile } from "react-device-detect";
 import { isPWA } from "@/utils/isPWA";
+import { useTranslation } from "react-i18next";
 
 function Bottombar() {
   const navItems = useNavigation("secondary");
@@ -43,6 +44,7 @@ type StatusAlertNavProps = {
   className?: string;
 };
 function StatusAlertNav({ className }: StatusAlertNavProps) {
+  const { t } = useTranslation(["views/system"]);
   const { data: initialStats } = useSWR<FrigateStats>("stats", {
     revalidateOnFocus: false,
   });
@@ -82,14 +84,19 @@ function StatusAlertNav({ className }: StatusAlertNavProps) {
         clearMessages("embeddings-reindex");
         addMessage(
           "embeddings-reindex",
-          `Reindexing embeddings (${Math.floor((reindexState.processed_objects / reindexState.total_objects) * 100)}% complete)`,
+          t("stats.reindexingEmbeddings", {
+            processed: Math.floor(
+              (reindexState.processed_objects / reindexState.total_objects) *
+                100,
+            ),
+          }),
         );
       }
       if (reindexState.status === "completed") {
         clearMessages("embeddings-reindex");
       }
     }
-  }, [reindexState, addMessage, clearMessages]);
+  }, [reindexState, addMessage, clearMessages, t]);
 
   if (!messages || Object.keys(messages).length === 0) {
     return;
diff --git a/web/src/components/navigation/NavItem.tsx b/web/src/components/navigation/NavItem.tsx
index 98b54b3a7..f8ee7eb0d 100644
--- a/web/src/components/navigation/NavItem.tsx
+++ b/web/src/components/navigation/NavItem.tsx
@@ -9,6 +9,7 @@ import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { NavData } from "@/types/navigation";
 import { IconType } from "react-icons";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 const variants = {
   primary: {
@@ -34,6 +35,7 @@ export default function NavItem({
   Icon,
   onClick,
 }: NavItemProps) {
+  const { t } = useTranslation(["common"]);
   if (item.enabled == false) {
     return;
   }
@@ -60,7 +62,7 @@ export default function NavItem({
         <TooltipTrigger>{content}</TooltipTrigger>
         <TooltipPortal>
           <TooltipContent side="right">
-            <p>{item.title}</p>
+            <p>{t(item.title)}</p>
           </TooltipContent>
         </TooltipPortal>
       </Tooltip>
diff --git a/web/src/components/overlay/CameraInfoDialog.tsx b/web/src/components/overlay/CameraInfoDialog.tsx
index c0136a410..ce03bd8e2 100644
--- a/web/src/components/overlay/CameraInfoDialog.tsx
+++ b/web/src/components/overlay/CameraInfoDialog.tsx
@@ -15,6 +15,7 @@ import { useEffect, useState } from "react";
 import axios from "axios";
 import { toast } from "sonner";
 import { Toaster } from "../ui/sonner";
+import { Trans, useTranslation } from "react-i18next";
 
 type CameraInfoDialogProps = {
   camera: CameraConfig;
@@ -26,6 +27,7 @@ export default function CameraInfoDialog({
   showCameraInfoDialog,
   setShowCameraInfoDialog,
 }: CameraInfoDialogProps) {
+  const { t } = useTranslation(["views/system"]);
   const [ffprobeInfo, setFfprobeInfo] = useState<Ffprobe[]>();
 
   useEffect(() => {
@@ -39,15 +41,25 @@ export default function CameraInfoDialog({
         if (res.status === 200) {
           setFfprobeInfo(res.data);
         } else {
-          toast.error(`Unable to probe camera: ${res.statusText}`, {
-            position: "top-center",
-          });
+          toast.error(
+            t("cameras.toast.success.copyToClipboard", {
+              errorMessage: res.statusText,
+            }),
+            {
+              position: "top-center",
+            },
+          );
         }
       })
       .catch((error) => {
-        toast.error(`Unable to probe camera: ${error.response.data.message}`, {
-          position: "top-center",
-        });
+        toast.error(
+          t("cameras.toast.success.copyToClipboard", {
+            errorMessage: error.response.data.message,
+          }),
+          {
+            position: "top-center",
+          },
+        );
       });
     // we know that these deps are correct
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -55,7 +67,7 @@ export default function CameraInfoDialog({
 
   const onCopyFfprobe = async () => {
     copy(JSON.stringify(ffprobeInfo));
-    toast.success("Copied probe data to clipboard.");
+    toast.success(t("cameras.toast.success.copyToClipboard"));
   };
 
   function gcd(a: number, b: number): number {
@@ -71,12 +83,14 @@ export default function CameraInfoDialog({
       >
         <DialogContent>
           <DialogHeader>
-            <DialogTitle className="capitalize">
-              {camera.name.replaceAll("_", " ")} Camera Probe Info
+            <DialogTitle className="smart-capitalize">
+              {t("cameras.info.cameraProbeInfo", {
+                camera: camera.name.replaceAll("_", " "),
+              })}
             </DialogTitle>
           </DialogHeader>
           <DialogDescription>
-            Stream data is obtained with <code>ffprobe</code>.
+            <Trans ns="views/system">cameras.info.streamDataFromFFPROBE</Trans>
           </DialogDescription>
 
           <div className="mb-2 p-4">
@@ -85,7 +99,9 @@ export default function CameraInfoDialog({
                 {ffprobeInfo.map((stream, idx) => (
                   <div key={idx} className="mb-5">
                     <div className="mb-1 rounded-md bg-secondary p-2 text-lg text-primary">
-                      Stream {idx + 1}
+                      {t("cameras.info.stream", {
+                        idx: idx + 1,
+                      })}
                     </div>
                     {stream.return_code == 0 ? (
                       <div>
@@ -93,10 +109,12 @@ export default function CameraInfoDialog({
                           <div className="" key={idx}>
                             {codec.width ? (
                               <div className="text-muted-foreground">
-                                <div className="ml-2">Video:</div>
+                                <div className="ml-2">
+                                  {t("cameras.info.video")}
+                                </div>
                                 <div className="ml-5">
                                   <div>
-                                    Codec:
+                                    {t("cameras.info.codec")}
                                     <span className="text-primary">
                                       {" "}
                                       {codec.codec_long_name}
@@ -105,7 +123,7 @@ export default function CameraInfoDialog({
                                   <div>
                                     {codec.width && codec.height ? (
                                       <>
-                                        Resolution:{" "}
+                                        {t("cameras.info.resolution")}{" "}
                                         <span className="text-primary">
                                           {" "}
                                           {codec.width}x{codec.height} (
@@ -114,23 +132,23 @@ export default function CameraInfoDialog({
                                           /
                                           {codec.height /
                                             gcd(codec.width, codec.height)}{" "}
-                                          aspect ratio)
+                                          {t("cameras.info.aspectRatio")})
                                         </span>
                                       </>
                                     ) : (
                                       <span>
-                                        Resolution:{" "}
+                                        {t("cameras.info.resolution")}{" "}
                                         <span className="text-primary">
-                                          Unknown
+                                          t("cameras.info.unknown")
                                         </span>
                                       </span>
                                     )}
                                   </div>
                                   <div>
-                                    FPS:{" "}
+                                    {t("cameras.info.fps")}{" "}
                                     <span className="text-primary">
                                       {codec.avg_frame_rate == "0/0"
-                                        ? "Unknown"
+                                        ? t("cameras.info.unknown")
                                         : codec.avg_frame_rate}
                                     </span>
                                   </div>
@@ -140,7 +158,7 @@ export default function CameraInfoDialog({
                               <div className="text-muted-foreground">
                                 <div className="ml-2 mt-1">Audio:</div>
                                 <div className="ml-4">
-                                  Codec:{" "}
+                                  {t("cameras.info.codec")}{" "}
                                   <span className="text-primary">
                                     {codec.codec_long_name}
                                   </span>
@@ -152,7 +170,11 @@ export default function CameraInfoDialog({
                       </div>
                     ) : (
                       <div className="px-2">
-                        <div>Error: {stream.stderr}</div>
+                        <div>
+                          {t("cameras.info.error", {
+                            error: stream.stderr,
+                          })}
+                        </div>
                       </div>
                     )}
                   </div>
@@ -161,7 +183,7 @@ export default function CameraInfoDialog({
             ) : (
               <div className="flex flex-col items-center">
                 <ActivityIndicator />
-                <div className="mt-2">Fetching Camera Data</div>
+                <div className="mt-2">{t("cameras.info.fetching")}</div>
               </div>
             )}
           </div>
@@ -169,10 +191,10 @@ export default function CameraInfoDialog({
           <DialogFooter>
             <Button
               variant="select"
-              aria-label="Copy"
+              aria-label={t("button.copy", { ns: "common" })}
               onClick={() => onCopyFfprobe()}
             >
-              Copy
+              {t("button.copy", { ns: "common" })}
             </Button>
           </DialogFooter>
         </DialogContent>
diff --git a/web/src/components/overlay/CreateUserDialog.tsx b/web/src/components/overlay/CreateUserDialog.tsx
index 7d44159dd..b73ba6b8f 100644
--- a/web/src/components/overlay/CreateUserDialog.tsx
+++ b/web/src/components/overlay/CreateUserDialog.tsx
@@ -2,6 +2,7 @@ import { Button } from "../ui/button";
 import {
   Form,
   FormControl,
+  FormDescription,
   FormField,
   FormItem,
   FormLabel,
@@ -12,36 +13,59 @@ import { zodResolver } from "@hookform/resolvers/zod";
 import { useForm } from "react-hook-form";
 import { z } from "zod";
 import ActivityIndicator from "../indicators/activity-indicator";
-import { useState } from "react";
+import { useEffect, useState } from "react";
 import {
   Dialog,
   DialogContent,
+  DialogDescription,
   DialogFooter,
   DialogHeader,
   DialogTitle,
 } from "../ui/dialog";
 
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "../ui/select";
+import { Shield, User } from "lucide-react";
+import { LuCheck, LuX } from "react-icons/lu";
+import { useTranslation } from "react-i18next";
+
 type CreateUserOverlayProps = {
   show: boolean;
-  onCreate: (user: string, password: string) => void;
+  onCreate: (user: string, password: string, role: "admin" | "viewer") => void;
   onCancel: () => void;
 };
+
 export default function CreateUserDialog({
   show,
   onCreate,
   onCancel,
 }: CreateUserOverlayProps) {
+  const { t } = useTranslation(["views/settings"]);
   const [isLoading, setIsLoading] = useState<boolean>(false);
 
-  const formSchema = z.object({
-    user: z
-      .string()
-      .min(1)
-      .regex(/^[A-Za-z0-9._]+$/, {
-        message: "Username may only include letters, numbers, . or _",
-      }),
-    password: z.string(),
-  });
+  const formSchema = z
+    .object({
+      user: z
+        .string()
+        .min(1, t("users.dialog.form.usernameIsRequired"))
+        .regex(/^[A-Za-z0-9._]+$/, {
+          message: t("users.dialog.createUser.usernameOnlyInclude"),
+        }),
+      password: z.string().min(1, t("users.dialog.form.passwordIsRequired")),
+      confirmPassword: z
+        .string()
+        .min(1, t("users.dialog.createUser.confirmPassword")),
+      role: z.enum(["admin", "viewer"]),
+    })
+    .refine((data) => data.password === data.confirmPassword, {
+      message: t("users.dialog.form.password.notMatch"),
+      path: ["confirmPassword"],
+    });
 
   const form = useForm<z.infer<typeof formSchema>>({
     resolver: zodResolver(formSchema),
@@ -49,32 +73,92 @@ export default function CreateUserDialog({
     defaultValues: {
       user: "",
       password: "",
+      confirmPassword: "",
+      role: "viewer",
     },
   });
 
   const onSubmit = async (values: z.infer<typeof formSchema>) => {
     setIsLoading(true);
-    await onCreate(values.user, values.password);
+    await onCreate(values.user, values.password, values.role);
     form.reset();
     setIsLoading(false);
   };
 
+  // Check if passwords match for real-time feedback
+  const password = form.watch("password");
+  const confirmPassword = form.watch("confirmPassword");
+  const passwordsMatch = password === confirmPassword;
+  const showMatchIndicator = password && confirmPassword;
+
+  useEffect(() => {
+    if (!show) {
+      form.reset({
+        user: "",
+        password: "",
+        role: "viewer",
+      });
+    }
+  }, [show, form]);
+
+  const handleCancel = () => {
+    form.reset({
+      user: "",
+      password: "",
+      role: "viewer",
+    });
+    onCancel();
+  };
+
   return (
     <Dialog open={show} onOpenChange={onCancel}>
-      <DialogContent>
+      <DialogContent className="sm:max-w-[425px]">
         <DialogHeader>
-          <DialogTitle>Create User</DialogTitle>
+          <DialogTitle>{t("users.dialog.createUser.title")}</DialogTitle>
+          <DialogDescription>
+            {t("users.dialog.createUser.desc")}
+          </DialogDescription>
         </DialogHeader>
+
         <Form {...form}>
-          <form onSubmit={form.handleSubmit(onSubmit)}>
+          <form
+            onSubmit={form.handleSubmit(onSubmit)}
+            className="space-y-5 py-4"
+          >
             <FormField
               name="user"
               render={({ field }) => (
                 <FormItem>
-                  <FormLabel>User</FormLabel>
+                  <FormLabel className="text-sm font-medium">
+                    {t("users.dialog.form.user.title")}
+                  </FormLabel>
                   <FormControl>
                     <Input
-                      className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                      placeholder={t("users.dialog.form.user.placeholder")}
+                      className="h-10"
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormDescription className="text-xs text-muted-foreground">
+                    {t("users.dialog.form.user.desc")}
+                  </FormDescription>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              name="password"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel className="text-sm font-medium">
+                    {t("users.dialog.form.password.title")}
+                  </FormLabel>
+                  <FormControl>
+                    <Input
+                      placeholder={t("users.dialog.form.password.placeholder")}
+                      type="password"
+                      className="h-10"
                       {...field}
                     />
                   </FormControl>
@@ -82,30 +166,123 @@ export default function CreateUserDialog({
                 </FormItem>
               )}
             />
+
             <FormField
-              name="password"
+              name="confirmPassword"
               render={({ field }) => (
                 <FormItem>
-                  <FormLabel>Password</FormLabel>
+                  <FormLabel className="text-sm font-medium">
+                    {t("users.dialog.form.password.confirm.title")}
+                  </FormLabel>
                   <FormControl>
                     <Input
-                      className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                      placeholder={t(
+                        "users.dialog.form.password.confirm.placeholder",
+                      )}
                       type="password"
+                      className="h-10"
                       {...field}
                     />
                   </FormControl>
+                  {showMatchIndicator && (
+                    <div className="mt-1 flex items-center gap-1.5 text-xs">
+                      {passwordsMatch ? (
+                        <>
+                          <LuCheck className="size-3.5 text-green-500" />
+                          <span className="text-green-600">
+                            {t("users.dialog.form.password.match")}
+                          </span>
+                        </>
+                      ) : (
+                        <>
+                          <LuX className="size-3.5 text-red-500" />
+                          <span className="text-red-600">
+                            {t("users.dialog.form.password.notMatch")}
+                          </span>
+                        </>
+                      )}
+                    </div>
+                  )}
+                  <FormMessage />
                 </FormItem>
               )}
             />
-            <DialogFooter className="mt-4">
-              <Button
-                variant="select"
-                aria-label="Create user"
-                disabled={isLoading}
-              >
-                {isLoading && <ActivityIndicator className="mr-2 h-4 w-4" />}
-                Create User
-              </Button>
+
+            <FormField
+              name="role"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel className="text-sm font-medium">
+                    {t("role.title", { ns: "common" })}
+                  </FormLabel>
+                  <Select
+                    onValueChange={field.onChange}
+                    defaultValue={field.value}
+                  >
+                    <FormControl>
+                      <SelectTrigger className="h-10">
+                        <SelectValue placeholder="Select a role" />
+                      </SelectTrigger>
+                    </FormControl>
+                    <SelectContent>
+                      <SelectItem
+                        value="admin"
+                        className="flex items-center gap-2"
+                      >
+                        <div className="flex items-center gap-2">
+                          <Shield className="h-4 w-4 text-primary" />
+                          <span>{t("role.admin", { ns: "common" })}</span>
+                        </div>
+                      </SelectItem>
+                      <SelectItem
+                        value="viewer"
+                        className="flex items-center gap-2"
+                      >
+                        <div className="flex items-center gap-2">
+                          <User className="h-4 w-4 text-muted-foreground" />
+                          <span>{t("role.viewer", { ns: "common" })}</span>
+                        </div>
+                      </SelectItem>
+                    </SelectContent>
+                  </Select>
+                  <FormDescription className="text-xs text-muted-foreground">
+                    {t("role.desc", { ns: "common" })}
+                  </FormDescription>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <DialogFooter className="flex gap-2 pt-2 sm:justify-end">
+              <div className="flex flex-1 flex-col justify-end">
+                <div className="flex flex-row gap-2 pt-5">
+                  <Button
+                    className="flex flex-1"
+                    aria-label={t("button.cancel", { ns: "common" })}
+                    disabled={isLoading}
+                    onClick={handleCancel}
+                    type="button"
+                  >
+                    {t("button.cancel", { ns: "common" })}
+                  </Button>
+                  <Button
+                    variant="select"
+                    aria-label={t("button.save", { ns: "common" })}
+                    disabled={isLoading || !form.formState.isValid}
+                    className="flex flex-1"
+                    type="submit"
+                  >
+                    {isLoading ? (
+                      <div className="flex flex-row items-center gap-2">
+                        <ActivityIndicator />
+                        <span>{t("button.saving", { ns: "common" })}</span>
+                      </div>
+                    ) : (
+                      t("button.save", { ns: "common" })
+                    )}
+                  </Button>
+                </div>
+              </div>
             </DialogFooter>
           </form>
         </Form>
diff --git a/web/src/components/overlay/DebugDrawingLayer.tsx b/web/src/components/overlay/DebugDrawingLayer.tsx
new file mode 100644
index 000000000..b45ef3f81
--- /dev/null
+++ b/web/src/components/overlay/DebugDrawingLayer.tsx
@@ -0,0 +1,177 @@
+import React, { useState, useRef, useCallback, useMemo } from "react";
+import { Stage, Layer, Rect } from "react-konva";
+import { KonvaEventObject } from "konva/lib/Node";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import Konva from "konva";
+import { useResizeObserver } from "@/hooks/resize-observer";
+
+type DebugDrawingLayerProps = {
+  containerRef: React.RefObject<HTMLDivElement>;
+  cameraWidth: number;
+  cameraHeight: number;
+};
+
+function DebugDrawingLayer({
+  containerRef,
+  cameraWidth,
+  cameraHeight,
+}: DebugDrawingLayerProps) {
+  const [rectangle, setRectangle] = useState<{
+    x: number;
+    y: number;
+    width: number;
+    height: number;
+  } | null>(null);
+  const [isDrawing, setIsDrawing] = useState(false);
+  const [showPopover, setShowPopover] = useState(false);
+  const stageRef = useRef<Konva.Stage>(null);
+
+  const [{ width: containerWidth }] = useResizeObserver(containerRef);
+
+  const imageSize = useMemo(() => {
+    const aspectRatio = cameraWidth / cameraHeight;
+    const imageWidth = containerWidth;
+    const imageHeight = imageWidth / aspectRatio;
+    return { width: imageWidth, height: imageHeight };
+  }, [containerWidth, cameraWidth, cameraHeight]);
+
+  const handleMouseDown = (e: KonvaEventObject<MouseEvent>) => {
+    const pos = e.target.getStage()?.getPointerPosition();
+    if (pos) {
+      setIsDrawing(true);
+      setRectangle({ x: pos.x, y: pos.y, width: 0, height: 0 });
+    }
+  };
+
+  const handleMouseMove = (e: KonvaEventObject<MouseEvent>) => {
+    if (!isDrawing) return;
+
+    const pos = e.target.getStage()?.getPointerPosition();
+    if (pos && rectangle) {
+      setRectangle({
+        ...rectangle,
+        width: pos.x - rectangle.x,
+        height: pos.y - rectangle.y,
+      });
+    }
+  };
+
+  const handleMouseUp = () => {
+    setIsDrawing(false);
+    if (rectangle) {
+      setShowPopover(true);
+    }
+  };
+
+  const convertToRealCoordinates = useCallback(
+    (x: number, y: number, width: number, height: number) => {
+      const scaleX = cameraWidth / imageSize.width;
+      const scaleY = cameraHeight / imageSize.height;
+      return {
+        x: x * scaleX,
+        y: y * scaleY,
+        width: width * scaleX,
+        height: height * scaleY,
+      };
+    },
+    [cameraWidth, cameraHeight, imageSize.width, imageSize.height],
+  );
+
+  const calculateArea = useCallback(() => {
+    if (!rectangle) return 0;
+    const { width, height } = convertToRealCoordinates(
+      0,
+      0,
+      Math.abs(rectangle.width),
+      Math.abs(rectangle.height),
+    );
+    return width * height;
+  }, [rectangle, convertToRealCoordinates]);
+
+  const calculateAreaPercentage = useCallback(() => {
+    if (!rectangle) return 0;
+    const { width, height } = convertToRealCoordinates(
+      0,
+      0,
+      Math.abs(rectangle.width),
+      Math.abs(rectangle.height),
+    );
+    return (width * height) / (cameraWidth * cameraHeight);
+  }, [rectangle, convertToRealCoordinates, cameraWidth, cameraHeight]);
+
+  const calculateRatio = useCallback(() => {
+    if (!rectangle) return 0;
+    const { width, height } = convertToRealCoordinates(
+      0,
+      0,
+      Math.abs(rectangle.width),
+      Math.abs(rectangle.height),
+    );
+    return width / height;
+  }, [rectangle, convertToRealCoordinates]);
+
+  return (
+    <div className="absolute inset-0 cursor-crosshair">
+      <Stage
+        width={imageSize.width}
+        height={imageSize.height}
+        onMouseDown={handleMouseDown}
+        onMouseMove={handleMouseMove}
+        onMouseUp={handleMouseUp}
+        ref={stageRef}
+      >
+        <Layer>
+          {rectangle && (
+            <Rect
+              x={rectangle.x}
+              y={rectangle.y}
+              width={rectangle.width}
+              height={rectangle.height}
+              stroke="white"
+              strokeWidth={4}
+            />
+          )}
+        </Layer>
+      </Stage>
+      {showPopover && rectangle && (
+        <Popover open={showPopover} onOpenChange={setShowPopover}>
+          <PopoverTrigger asChild>
+            <div
+              style={{
+                position: "absolute",
+                left: `${rectangle.x + rectangle.width / 2}px`,
+                top: `${rectangle.y + rectangle.height / 2}px`,
+              }}
+            />
+          </PopoverTrigger>
+          <PopoverContent className="w-auto p-5 text-center">
+            <div className="flex flex-col gap-2">
+              <div className="flex flex-col text-primary">
+                Area:{" "}
+                <span className="text-sm text-primary-variant">
+                  px: {calculateArea().toFixed(0)}
+                </span>
+                <span className="text-sm text-primary-variant">
+                  %: {calculateAreaPercentage().toFixed(4)}
+                </span>
+              </div>
+              <div className="flex flex-col text-primary">
+                Ratio:{" "}
+                <span className="text-sm text-primary-variant">
+                  {" "}
+                  {calculateRatio().toFixed(2)}
+                </span>
+              </div>
+            </div>
+          </PopoverContent>
+        </Popover>
+      )}
+    </div>
+  );
+}
+
+export default DebugDrawingLayer;
diff --git a/web/src/components/overlay/DeleteUserDialog.tsx b/web/src/components/overlay/DeleteUserDialog.tsx
index 8638b9145..677047a11 100644
--- a/web/src/components/overlay/DeleteUserDialog.tsx
+++ b/web/src/components/overlay/DeleteUserDialog.tsx
@@ -1,39 +1,72 @@
+import { Trans, useTranslation } from "react-i18next";
 import { Button } from "../ui/button";
 import {
   Dialog,
   DialogContent,
   DialogFooter,
   DialogHeader,
-  DialogTitle,
 } from "../ui/dialog";
+import { DialogDescription } from "@radix-ui/react-dialog";
 
-type SetPasswordProps = {
+type DeleteUserDialogProps = {
   show: boolean;
+  username?: string;
   onDelete: () => void;
   onCancel: () => void;
 };
 export default function DeleteUserDialog({
   show,
+  username,
   onDelete,
   onCancel,
-}: SetPasswordProps) {
+}: DeleteUserDialogProps) {
+  const { t } = useTranslation(["views/settings"]);
   return (
     <Dialog open={show} onOpenChange={onCancel}>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>Delete User</DialogTitle>
+      <DialogContent className="sm:max-w-[425px]">
+        <DialogHeader className="flex flex-col items-center gap-2 sm:items-start">
+          <div className="space-y-1 text-center sm:text-left">
+            {t("users.dialog.deleteUser.title")}
+            <DialogDescription>
+              {t("users.dialog.deleteUser.desc")}
+            </DialogDescription>
+          </div>
         </DialogHeader>
-        <div>Are you sure?</div>
-        <DialogFooter>
-          <Button
-            className="flex items-center gap-1"
-            aria-label="Confirm delete"
-            variant="destructive"
-            size="sm"
-            onClick={onDelete}
-          >
-            Delete
-          </Button>
+
+        <div className="my-4 rounded-md border border-destructive/20 bg-destructive/5 p-4 text-center text-sm">
+          <p className="font-medium text-destructive">
+            <Trans
+              i18nKey="users.dialog.deleteUser.warn"
+              ns="views/settings"
+              values={{ username }}
+              components={{
+                strong: <span className="font-medium" />,
+              }}
+            />
+          </p>
+        </div>
+
+        <DialogFooter className="flex flex-col-reverse gap-2 sm:flex-row sm:justify-end">
+          <div className="flex flex-1 flex-col justify-end">
+            <div className="flex flex-row gap-2 pt-5">
+              <Button
+                className="flex flex-1"
+                aria-label={t("button.cancel", { ns: "common" })}
+                onClick={onCancel}
+                type="button"
+              >
+                {t("button.cancel", { ns: "common" })}
+              </Button>
+              <Button
+                variant="destructive"
+                aria-label={t("button.delete", { ns: "common" })}
+                className="flex flex-1"
+                onClick={onDelete}
+              >
+                {t("button.delete", { ns: "common" })}
+              </Button>
+            </div>
+          </div>
         </DialogFooter>
       </DialogContent>
     </Dialog>
diff --git a/web/src/components/overlay/ExportDialog.tsx b/web/src/components/overlay/ExportDialog.tsx
index 8fc5eeea5..44b55bfe3 100644
--- a/web/src/components/overlay/ExportDialog.tsx
+++ b/web/src/components/overlay/ExportDialog.tsx
@@ -30,6 +30,7 @@ import { getUTCOffset } from "@/utils/dateUtil";
 import { baseUrl } from "@/api/baseUrl";
 import { cn } from "@/lib/utils";
 import { GenericVideoPlayer } from "../player/GenericVideoPlayer";
+import { useTranslation } from "react-i18next";
 
 const EXPORT_OPTIONS = [
   "1",
@@ -64,16 +65,19 @@ export default function ExportDialog({
   setMode,
   setShowPreview,
 }: ExportDialogProps) {
+  const { t } = useTranslation(["components/dialog"]);
   const [name, setName] = useState("");
 
   const onStartExport = useCallback(() => {
     if (!range) {
-      toast.error("No valid time range selected", { position: "top-center" });
+      toast.error(t("export.toast.error.noVaildTimeSelected"), {
+        position: "top-center",
+      });
       return;
     }
 
     if (range.before < range.after) {
-      toast.error("End time must be after start time", {
+      toast.error(t("export.toast.error.endTimeMustAfterStartTime"), {
         position: "top-center",
       });
       return;
@@ -89,28 +93,33 @@ export default function ExportDialog({
       )
       .then((response) => {
         if (response.status == 200) {
-          toast.success(
-            "Successfully started export. View the file in the /exports folder.",
-            { position: "top-center" },
-          );
+          toast.success(t("export.toast.success"), {
+            position: "top-center",
+          });
           setName("");
           setRange(undefined);
           setMode("none");
         }
       })
       .catch((error) => {
-        if (error.response?.data?.message) {
-          toast.error(
-            `Failed to start export: ${error.response.data.message}`,
-            { position: "top-center" },
-          );
-        } else {
-          toast.error(`Failed to start export: ${error.message}`, {
-            position: "top-center",
-          });
-        }
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("export.toast.error.failed", {
+            error: errorMessage,
+          }),
+          { position: "top-center" },
+        );
       });
-  }, [camera, name, range, setRange, setName, setMode]);
+  }, [camera, name, range, setRange, setName, setMode, t]);
+
+  const handleCancel = useCallback(() => {
+    setName("");
+    setMode("none");
+    setRange(undefined);
+  }, [setMode, setRange]);
 
   const Overlay = isDesktop ? Dialog : Drawer;
   const Trigger = isDesktop ? DialogTrigger : DrawerTrigger;
@@ -129,7 +138,7 @@ export default function ExportDialog({
         show={mode == "timeline"}
         onPreview={() => setShowPreview(true)}
         onSave={() => onStartExport()}
-        onCancel={() => setMode("none")}
+        onCancel={handleCancel}
       />
       <Overlay
         open={mode == "select"}
@@ -142,7 +151,7 @@ export default function ExportDialog({
         <Trigger asChild>
           <Button
             className="flex items-center gap-2"
-            aria-label="Export"
+            aria-label={t("menu.export", { ns: "common" })}
             size="sm"
             onClick={() => {
               const now = new Date(latestTime * 1000);
@@ -157,7 +166,11 @@ export default function ExportDialog({
             }}
           >
             <FaArrowDown className="rounded-md bg-secondary-foreground fill-secondary p-1" />
-            {isDesktop && <div className="text-primary">Export</div>}
+            {isDesktop && (
+              <div className="text-primary">
+                {t("menu.export", { ns: "common" })}
+              </div>
+            )}
           </Button>
         </Trigger>
         <Content
@@ -176,7 +189,7 @@ export default function ExportDialog({
             setName={setName}
             setRange={setRange}
             setMode={setMode}
-            onCancel={() => setMode("none")}
+            onCancel={handleCancel}
           />
         </Content>
       </Overlay>
@@ -206,6 +219,7 @@ export function ExportContent({
   setMode,
   onCancel,
 }: ExportContentProps) {
+  const { t } = useTranslation(["components/dialog"]);
   const [selectedOption, setSelectedOption] = useState<ExportOption>("1");
 
   const onSelectTime = useCallback(
@@ -235,6 +249,9 @@ export function ExportContent({
           now.setHours(now.getHours() - 24);
           start = now.getTime() / 1000;
           break;
+        case "custom":
+          start = latestTime - 3600;
+          break;
       }
 
       setRange({
@@ -250,7 +267,7 @@ export function ExportContent({
       {isDesktop && (
         <>
           <DialogHeader>
-            <DialogTitle>Export</DialogTitle>
+            <DialogTitle>{t("menu.export", { ns: "common" })}</DialogTitle>
           </DialogHeader>
           <SelectSeparator className="my-4 bg-secondary" />
         </>
@@ -271,12 +288,14 @@ export function ExportContent({
                 id={opt}
                 value={opt}
               />
-              <Label className="cursor-pointer capitalize" htmlFor={opt}>
+              <Label className="cursor-pointer smart-capitalize" htmlFor={opt}>
                 {isNaN(parseInt(opt))
                   ? opt == "timeline"
-                    ? "Select from Timeline"
-                    : `${opt}`
-                  : `Last ${opt > "1" ? `${opt} Hours` : "Hour"}`}
+                    ? t("export.time.fromTimeline")
+                    : t("export.time." + opt)
+                  : t("export.time.lastHour", {
+                      count: parseInt(opt),
+                    })}
               </Label>
             </div>
           );
@@ -292,7 +311,7 @@ export function ExportContent({
       <Input
         className="text-md my-6"
         type="search"
-        placeholder="Name the Export"
+        placeholder={t("export.name.placeholder")}
         value={name}
         onChange={(e) => setName(e.target.value)}
       />
@@ -304,11 +323,11 @@ export function ExportContent({
           className={`cursor-pointer p-2 text-center ${isDesktop ? "" : "w-full"}`}
           onClick={onCancel}
         >
-          Cancel
+          {t("button.cancel", { ns: "common" })}
         </div>
         <Button
           className={isDesktop ? "" : "w-full"}
-          aria-label="Select or export"
+          aria-label={t("export.selectOrExport")}
           variant="select"
           size="sm"
           onClick={() => {
@@ -322,7 +341,9 @@ export function ExportContent({
             }
           }}
         >
-          {selectedOption == "timeline" ? "Select" : "Export"}
+          {selectedOption == "timeline"
+            ? t("export.select")
+            : t("export.export")}
         </Button>
       </DialogFooter>
     </div>
@@ -339,6 +360,7 @@ function CustomTimeSelector({
   range,
   setRange,
 }: CustomTimeSelectorProps) {
+  const { t } = useTranslation(["components/dialog"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // times
@@ -382,14 +404,14 @@ function CustomTimeSelector({
   const formattedStart = useFormattedTimestamp(
     startTime,
     config?.ui.time_format == "24hour"
-      ? "%b %-d, %H:%M:%S"
-      : "%b %-d, %I:%M:%S %p",
+      ? t("time.formattedTimestamp.24hour", { ns: "common" })
+      : t("time.formattedTimestamp.12hour", { ns: "common" }),
   );
   const formattedEnd = useFormattedTimestamp(
     endTime,
     config?.ui.time_format == "24hour"
-      ? "%b %-d, %H:%M:%S"
-      : "%b %-d, %I:%M:%S %p",
+      ? t("time.formattedTimestamp.24hour", { ns: "common" })
+      : t("time.formattedTimestamp.12hour", { ns: "common" }),
   );
 
   const startClock = useMemo(() => {
@@ -422,7 +444,7 @@ function CustomTimeSelector({
         <PopoverTrigger asChild>
           <Button
             className={`text-primary ${isDesktop ? "" : "text-xs"}`}
-            aria-label="Start time"
+            aria-label={t("export.time.start.title")}
             variant={startOpen ? "select" : "default"}
             size="sm"
             onClick={() => {
@@ -488,7 +510,7 @@ function CustomTimeSelector({
         <PopoverTrigger asChild>
           <Button
             className={`text-primary ${isDesktop ? "" : "text-xs"}`}
-            aria-label="End time"
+            aria-label={t("export.time.end.title")}
             variant={endOpen ? "select" : "default"}
             size="sm"
             onClick={() => {
@@ -527,7 +549,7 @@ function CustomTimeSelector({
                 ? [...clock.split(":"), "00"]
                 : clock.split(":");
 
-              const end = new Date(startTime * 1000);
+              const end = new Date(endTime * 1000);
               end.setHours(
                 parseInt(hour),
                 parseInt(minute),
@@ -559,6 +581,7 @@ export function ExportPreviewDialog({
   showPreview,
   setShowPreview,
 }: ExportPreviewDialogProps) {
+  const { t } = useTranslation(["components/dialog"]);
   if (!range) {
     return null;
   }
@@ -576,9 +599,9 @@ export function ExportPreviewDialog({
         )}
       >
         <DialogHeader>
-          <DialogTitle>Preview Export</DialogTitle>
+          <DialogTitle>{t("export.fromTimeline.previewExport")}</DialogTitle>
           <DialogDescription className="sr-only">
-            Preview Export
+            {t("export.fromTimeline.previewExport")}
           </DialogDescription>
         </DialogHeader>
         <GenericVideoPlayer source={source} />
diff --git a/web/src/components/overlay/FaceSelectionDialog.tsx b/web/src/components/overlay/FaceSelectionDialog.tsx
new file mode 100644
index 000000000..3644ff1cf
--- /dev/null
+++ b/web/src/components/overlay/FaceSelectionDialog.tsx
@@ -0,0 +1,120 @@
+import {
+  Drawer,
+  DrawerClose,
+  DrawerContent,
+  DrawerDescription,
+  DrawerHeader,
+  DrawerTitle,
+  DrawerTrigger,
+} from "@/components/ui/drawer";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuLabel,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { isDesktop, isMobile } from "react-device-detect";
+import { LuPlus, LuScanFace } from "react-icons/lu";
+import { useTranslation } from "react-i18next";
+import { cn } from "@/lib/utils";
+import React, { ReactNode, useMemo, useState } from "react";
+import TextEntryDialog from "./dialog/TextEntryDialog";
+import { Button } from "../ui/button";
+
+type FaceSelectionDialogProps = {
+  className?: string;
+  faceNames: string[];
+  onTrainAttempt: (name: string) => void;
+  children: ReactNode;
+};
+export default function FaceSelectionDialog({
+  className,
+  faceNames,
+  onTrainAttempt,
+  children,
+}: FaceSelectionDialogProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+
+  const isChildButton = useMemo(
+    () => React.isValidElement(children) && children.type === Button,
+    [children],
+  );
+
+  // control
+  const [newFace, setNewFace] = useState(false);
+
+  // components
+  const Selector = isDesktop ? DropdownMenu : Drawer;
+  const SelectorTrigger = isDesktop ? DropdownMenuTrigger : DrawerTrigger;
+  const SelectorContent = isDesktop ? DropdownMenuContent : DrawerContent;
+  const SelectorItem = isDesktop
+    ? DropdownMenuItem
+    : (props: React.HTMLAttributes<HTMLDivElement>) => (
+        <DrawerClose asChild>
+          <div {...props} className={cn(props.className, "my-2")} />
+        </DrawerClose>
+      );
+
+  return (
+    <div className={className ?? ""}>
+      {newFace && (
+        <TextEntryDialog
+          open={true}
+          setOpen={setNewFace}
+          title={t("createFaceLibrary.new")}
+          onSave={(newName) => onTrainAttempt(newName)}
+        />
+      )}
+
+      <Tooltip>
+        <Selector>
+          <SelectorTrigger asChild>
+            <TooltipTrigger asChild={isChildButton}>{children}</TooltipTrigger>
+          </SelectorTrigger>
+          <SelectorContent
+            className={cn("", isMobile && "mx-1 gap-2 rounded-t-2xl px-4")}
+          >
+            {isMobile && (
+              <DrawerHeader className="sr-only">
+                <DrawerTitle>Details</DrawerTitle>
+                <DrawerDescription>Details</DrawerDescription>
+              </DrawerHeader>
+            )}
+            <DropdownMenuLabel>{t("trainFaceAs")}</DropdownMenuLabel>
+            <div
+              className={cn(
+                "flex max-h-[40dvh] flex-col overflow-y-auto",
+                isMobile && "gap-2 pb-4",
+              )}
+            >
+              <SelectorItem
+                className="flex cursor-pointer gap-2 smart-capitalize"
+                onClick={() => setNewFace(true)}
+              >
+                <LuPlus />
+                {t("createFaceLibrary.new")}
+              </SelectorItem>
+              {faceNames.sort().map((faceName) => (
+                <SelectorItem
+                  key={faceName}
+                  className="flex cursor-pointer gap-2 smart-capitalize"
+                  onClick={() => onTrainAttempt(faceName)}
+                >
+                  <LuScanFace />
+                  {faceName}
+                </SelectorItem>
+              ))}
+            </div>
+          </SelectorContent>
+        </Selector>
+        <TooltipContent>{t("trainFace")}</TooltipContent>
+      </Tooltip>
+    </div>
+  );
+}
diff --git a/web/src/components/overlay/GPUInfoDialog.tsx b/web/src/components/overlay/GPUInfoDialog.tsx
index 3821579e2..549a9f9db 100644
--- a/web/src/components/overlay/GPUInfoDialog.tsx
+++ b/web/src/components/overlay/GPUInfoDialog.tsx
@@ -11,6 +11,7 @@ import { GpuInfo, Nvinfo, Vainfo } from "@/types/stats";
 import { Button } from "../ui/button";
 import copy from "copy-to-clipboard";
 import { toast } from "sonner";
+import { useTranslation } from "react-i18next";
 
 type GPUInfoDialogProps = {
   showGpuInfo: boolean;
@@ -22,6 +23,8 @@ export default function GPUInfoDialog({
   gpuType,
   setShowGpuInfo,
 }: GPUInfoDialogProps) {
+  const { t } = useTranslation(["views/system"]);
+
   const { data: vainfo } = useSWR<Vainfo>(
     showGpuInfo && gpuType == "vainfo" ? "vainfo" : null,
   );
@@ -35,7 +38,7 @@ export default function GPUInfoDialog({
         .replace(/\\t/g, "\t")
         .replace(/\\n/g, "\n"),
     );
-    toast.success("Copied GPU info to clipboard.");
+    toast.success(t("general.hardwareInfo.gpuInfo.toast.success"));
   };
 
   if (gpuType == "vainfo") {
@@ -43,13 +46,23 @@ export default function GPUInfoDialog({
       <Dialog open={showGpuInfo} onOpenChange={setShowGpuInfo}>
         <DialogContent>
           <DialogHeader>
-            <DialogTitle>Vainfo Output</DialogTitle>
+            <DialogTitle>
+              {t("general.hardwareInfo.gpuInfo.vainfoOutput.title")}
+            </DialogTitle>
           </DialogHeader>
           {vainfo ? (
             <div className="scrollbar-container mb-2 max-h-96 overflow-y-scroll whitespace-pre-line">
-              <div>Return Code: {vainfo.return_code}</div>
+              <div>
+                {t("general.hardwareInfo.gpuInfo.vainfoOutput.returnCode", {
+                  code: vainfo.return_code,
+                })}
+              </div>
               <br />
-              <div>Process {vainfo.return_code == 0 ? "Output" : "Error"}:</div>
+              <div>
+                {vainfo.return_code == 0
+                  ? t("general.hardwareInfo.gpuInfo.vainfoOutput.processOutput")
+                  : t("general.hardwareInfo.gpuInfo.vainfoOutput.processError")}
+              </div>
               <br />
               <div>
                 {vainfo.return_code == 0 ? vainfo.stdout : vainfo.stderr}
@@ -60,17 +73,17 @@ export default function GPUInfoDialog({
           )}
           <DialogFooter>
             <Button
-              aria-label="Close GPU info"
+              aria-label={t("general.hardwareInfo.gpuInfo.closeInfo.label")}
               onClick={() => setShowGpuInfo(false)}
             >
-              Close
+              {t("button.close", { ns: "common" })}
             </Button>
             <Button
-              aria-label="Copy GPU info"
+              aria-label={t("general.hardwareInfo.gpuInfo.copyInfo.label")}
               variant="select"
               onClick={() => onCopyInfo()}
             >
-              Copy
+              {t("button.copy", { ns: "common" })}
             </Button>
           </DialogFooter>
         </DialogContent>
@@ -81,34 +94,55 @@ export default function GPUInfoDialog({
       <Dialog open={showGpuInfo} onOpenChange={setShowGpuInfo}>
         <DialogContent>
           <DialogHeader>
-            <DialogTitle>Nvidia SMI Output</DialogTitle>
+            <DialogTitle>
+              {t("general.hardwareInfo.gpuInfo.nvidiaSMIOutput.title")}
+            </DialogTitle>
           </DialogHeader>
           {nvinfo ? (
             <div className="scrollbar-container mb-2 max-h-96 overflow-y-scroll whitespace-pre-line">
-              <div>Name: {nvinfo["0"].name}</div>
+              <div>
+                {t("general.hardwareInfo.gpuInfo.nvidiaSMIOutput.name", {
+                  name: nvinfo["0"].name,
+                })}
+              </div>
               <br />
-              <div>Driver: {nvinfo["0"].driver}</div>
+              <div>
+                {t("general.hardwareInfo.gpuInfo.nvidiaSMIOutput.driver", {
+                  driver: nvinfo["0"].driver,
+                })}
+              </div>
               <br />
-              <div>Cuda Compute Capability: {nvinfo["0"].cuda_compute}</div>
+              <div>
+                {t(
+                  "general.hardwareInfo.gpuInfo.nvidiaSMIOutput.cudaComputerCapability",
+                  {
+                    cuda_compute: nvinfo["0"].cuda_compute,
+                  },
+                )}
+              </div>
               <br />
-              <div>VBios Info: {nvinfo["0"].vbios}</div>
+              <div>
+                {t("general.hardwareInfo.gpuInfo.nvidiaSMIOutput.vbios", {
+                  vbios: nvinfo["0"].vbios,
+                })}
+              </div>
             </div>
           ) : (
             <ActivityIndicator />
           )}
           <DialogFooter>
             <Button
-              aria-label="Close GPU info"
+              aria-label={t("general.hardwareInfo.gpuInfo.closeInfo.label")}
               onClick={() => setShowGpuInfo(false)}
             >
-              Close
+              {t("button.close", { ns: "common" })}
             </Button>
             <Button
-              aria-label="Copy GPU info"
+              aria-label={t("general.hardwareInfo.gpuInfo.copyInfo.label")}
               variant="select"
               onClick={() => onCopyInfo()}
             >
-              Copy
+              {t("button.copy", { ns: "common" })}
             </Button>
           </DialogFooter>
         </DialogContent>
diff --git a/web/src/components/overlay/LogInfoDialog.tsx b/web/src/components/overlay/LogInfoDialog.tsx
index 4cebb4a6e..e424d3a47 100644
--- a/web/src/components/overlay/LogInfoDialog.tsx
+++ b/web/src/components/overlay/LogInfoDialog.tsx
@@ -17,6 +17,8 @@ import {
 import { LogChip } from "../indicators/Chip";
 import { useMemo } from "react";
 import { Link } from "react-router-dom";
+import { useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 type LogInfoDialogProps = {
   logLine?: LogLine;
@@ -26,6 +28,7 @@ export default function LogInfoDialog({
   logLine,
   setLogLine,
 }: LogInfoDialogProps) {
+  const { t } = useTranslation(["views/system"]);
   const Overlay = isDesktop ? Sheet : Drawer;
   const Content = isDesktop ? SheetContent : DrawerContent;
   const Header = isDesktop ? SheetHeader : DrawerHeader;
@@ -53,20 +56,35 @@ export default function LogInfoDialog({
         {logLine && (
           <div className="flex size-full flex-col gap-5">
             <div className="flex w-min flex-col gap-1.5">
-              <div className="text-sm text-primary/40">Type</div>
+              <div className="text-sm text-primary/40">
+                {t("logs.type.label")}
+              </div>
               <LogChip severity={logLine.severity} />
             </div>
             <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">Timestamp</div>
+              <div className="text-sm text-primary/40">
+                {t("logs.type.timestamp")}
+              </div>
               <div className="text-sm">{logLine.dateStamp}</div>
             </div>
             <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">Tag</div>
+              <div className="text-sm text-primary/40">
+                {t("logs.type.tag")}
+              </div>
               <div className="text-sm">{logLine.section}</div>
             </div>
             <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">Message</div>
-              <div className="text-sm">{logLine.content}</div>
+              <div className="text-sm text-primary/40">
+                {t("logs.type.message")}
+              </div>
+              <div className="text-sm">
+                {logLine.content.split("\n").map((line) => (
+                  <>
+                    {line}
+                    <br />
+                  </>
+                ))}
+              </div>
             </div>
             {helpfulLinks.length > 0 && (
               <div className="flex flex-col gap-1.5">
@@ -88,23 +106,25 @@ export default function LogInfoDialog({
 }
 
 function useHelpfulLinks(content: string | undefined) {
+  const { getLocaleDocUrl } = useDocDomain();
   return useMemo(() => {
     if (!content) {
       return [];
     }
 
     const links = [];
-
     if (/Could not clear [\d.]* currently [\d.]*/.exec(content)) {
       links.push({
-        link: "https://docs.frigate.video/configuration/record#will-frigate-delete-old-recordings-if-my-storage-runs-out",
+        link: getLocaleDocUrl(
+          "configuration/record#will-frigate-delete-old-recordings-if-my-storage-runs-out",
+        ),
         text: "Frigate Automatic Storage Cleanup",
       });
     }
 
     if (/Did not detect hwaccel/.exec(content)) {
       links.push({
-        link: "https://docs.frigate.video/configuration/hardware_acceleration",
+        link: getLocaleDocUrl("configuration/hardware_acceleration"),
         text: "Setup Hardware Acceleration",
       });
     }
@@ -122,25 +142,27 @@ function useHelpfulLinks(content: string | undefined) {
       content.includes("No VA display found for device /dev/dri/renderD128")
     ) {
       links.push({
-        link: "https://docs.frigate.video/configuration/hardware_acceleration",
+        link: getLocaleDocUrl("configuration/hardware_acceleration"),
         text: "Verify Hardware Acceleration Setup",
       });
     }
 
     if (content.includes("No EdgeTPU was detected")) {
       links.push({
-        link: "https://docs.frigate.video/troubleshooting/edgetpu",
+        link: getLocaleDocUrl("troubleshooting/edgetpu"),
         text: "Troubleshoot Coral",
       });
     }
 
     if (content.includes("The current SHM size of")) {
       links.push({
-        link: "https://docs.frigate.video/frigate/installation/#calculating-required-shm-size",
+        link: getLocaleDocUrl(
+          "frigate/installation/#calculating-required-shm-size",
+        ),
         text: "Calculate Correct SHM Size",
       });
     }
 
     return links;
-  }, [content]);
+  }, [content, getLocaleDocUrl]);
 }
diff --git a/web/src/components/overlay/MobileCameraDrawer.tsx b/web/src/components/overlay/MobileCameraDrawer.tsx
index c12bc0ab2..985cca1e5 100644
--- a/web/src/components/overlay/MobileCameraDrawer.tsx
+++ b/web/src/components/overlay/MobileCameraDrawer.tsx
@@ -3,6 +3,7 @@ import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
 import { Button } from "../ui/button";
 import { FaVideo } from "react-icons/fa";
 import { isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 
 type MobileCameraDrawerProps = {
   allCameras: string[];
@@ -14,6 +15,7 @@ export default function MobileCameraDrawer({
   selected,
   onSelectCamera,
 }: MobileCameraDrawerProps) {
+  const { t } = useTranslation(["common"]);
   const [cameraDrawer, setCameraDrawer] = useState(false);
 
   if (!isMobile) {
@@ -24,8 +26,8 @@ export default function MobileCameraDrawer({
     <Drawer open={cameraDrawer} onOpenChange={setCameraDrawer}>
       <DrawerTrigger asChild>
         <Button
-          className="rounded-lg capitalize"
-          aria-label="Cameras"
+          className="rounded-lg smart-capitalize"
+          aria-label={t("menu.live.cameras.title")}
           size="sm"
         >
           <FaVideo className="text-secondary-foreground" />
@@ -36,7 +38,7 @@ export default function MobileCameraDrawer({
           {allCameras.map((cam) => (
             <div
               key={cam}
-              className={`mx-4 w-full py-2 text-center capitalize ${cam == selected ? "rounded-lg bg-secondary" : ""}`}
+              className={`mx-4 w-full py-2 text-center smart-capitalize ${cam == selected ? "rounded-lg bg-secondary" : ""}`}
               onClick={() => {
                 onSelectCamera(cam);
                 setCameraDrawer(false);
diff --git a/web/src/components/overlay/MobileReviewSettingsDrawer.tsx b/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
index 3eeb639cd..4aa9710fb 100644
--- a/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
+++ b/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
@@ -7,13 +7,19 @@ import { ExportContent, ExportPreviewDialog } from "./ExportDialog";
 import { ExportMode, GeneralFilter } from "@/types/filter";
 import ReviewActivityCalendar from "./ReviewActivityCalendar";
 import { SelectSeparator } from "../ui/select";
-import { ReviewFilter, ReviewSeverity, ReviewSummary } from "@/types/review";
+import {
+  RecordingsSummary,
+  ReviewFilter,
+  ReviewSeverity,
+  ReviewSummary,
+} from "@/types/review";
 import { getEndOfDayTimestamp } from "@/utils/dateUtil";
 import { GeneralFilterContent } from "../filter/ReviewFilterGroup";
 import { toast } from "sonner";
 import axios from "axios";
 import SaveExportOverlay from "./SaveExportOverlay";
 import { isIOS, isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 
 type DrawerMode = "none" | "select" | "export" | "calendar" | "filter";
 
@@ -36,6 +42,7 @@ type MobileReviewSettingsDrawerProps = {
   mode: ExportMode;
   showExportPreview: boolean;
   reviewSummary?: ReviewSummary;
+  recordingsSummary?: RecordingsSummary;
   allLabels: string[];
   allZones: string[];
   onUpdateFilter: (filter: ReviewFilter) => void;
@@ -54,6 +61,7 @@ export default function MobileReviewSettingsDrawer({
   mode,
   showExportPreview,
   reviewSummary,
+  recordingsSummary,
   allLabels,
   allZones,
   onUpdateFilter,
@@ -61,6 +69,7 @@ export default function MobileReviewSettingsDrawer({
   setMode,
   setShowExportPreview,
 }: MobileReviewSettingsDrawerProps) {
+  const { t } = useTranslation(["views/recording", "components/dialog"]);
   const [drawerMode, setDrawerMode] = useState<DrawerMode>("none");
 
   // exports
@@ -68,12 +77,14 @@ export default function MobileReviewSettingsDrawer({
   const [name, setName] = useState("");
   const onStartExport = useCallback(() => {
     if (!range) {
-      toast.error("No valid time range selected", { position: "top-center" });
+      toast.error(t("toast.error.noValidTimeSelected"), {
+        position: "top-center",
+      });
       return;
     }
 
     if (range.before < range.after) {
-      toast.error("End time must be after start time", {
+      toast.error(t("toast.error.endTimeMustAfterStartTime"), {
         position: "top-center",
       });
       return;
@@ -90,8 +101,10 @@ export default function MobileReviewSettingsDrawer({
       .then((response) => {
         if (response.status == 200) {
           toast.success(
-            "Successfully started export. View the file in the /exports folder.",
-            { position: "top-center" },
+            t("export.toast.success", { ns: "components/dialog" }),
+            {
+              position: "top-center",
+            },
           );
           setName("");
           setRange(undefined);
@@ -99,18 +112,21 @@ export default function MobileReviewSettingsDrawer({
         }
       })
       .catch((error) => {
-        if (error.response?.data?.message) {
-          toast.error(
-            `Failed to start export: ${error.response.data.message}`,
-            { position: "top-center" },
-          );
-        } else {
-          toast.error(`Failed to start export: ${error.message}`, {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("export.toast.error.failed", {
+            ns: "components/dialog",
+            errorMessage,
+          }),
+          {
             position: "top-center",
-          });
-        }
+          },
+        );
       });
-  }, [camera, name, range, setRange, setName, setMode]);
+  }, [camera, name, range, setRange, setName, setMode, t]);
 
   // filters
 
@@ -132,40 +148,40 @@ export default function MobileReviewSettingsDrawer({
         {features.includes("export") && (
           <Button
             className="flex w-full items-center justify-center gap-2"
-            aria-label="Export"
+            aria-label={t("export")}
             onClick={() => {
               setDrawerMode("export");
               setMode("select");
             }}
           >
             <FaArrowDown className="rounded-md bg-secondary-foreground fill-secondary p-1" />
-            Export
+            {t("export")}
           </Button>
         )}
         {features.includes("calendar") && (
           <Button
             className="flex w-full items-center justify-center gap-2"
-            aria-label="Calendar"
+            aria-label={t("calendar")}
             variant={filter?.after ? "select" : "default"}
             onClick={() => setDrawerMode("calendar")}
           >
             <FaCalendarAlt
               className={`${filter?.after ? "text-selected-foreground" : "text-secondary-foreground"}`}
             />
-            Calendar
+            {t("calendar")}
           </Button>
         )}
         {features.includes("filter") && (
           <Button
             className="flex w-full items-center justify-center gap-2"
-            aria-label="Filter"
+            aria-label={t("filter")}
             variant={filter?.labels || filter?.zones ? "select" : "default"}
             onClick={() => setDrawerMode("filter")}
           >
             <FaFilter
               className={`${filter?.labels || filter?.zones ? "text-selected-foreground" : "text-secondary-foreground"}`}
             />
-            Filter
+            {t("filter")}
           </Button>
         )}
       </div>
@@ -202,15 +218,16 @@ export default function MobileReviewSettingsDrawer({
             className="absolute left-0 text-selected"
             onClick={() => setDrawerMode("select")}
           >
-            Back
+            {t("button.back", { ns: "common" })}
           </div>
           <div className="absolute left-1/2 -translate-x-1/2 text-muted-foreground">
-            Calendar
+            {t("calendar")}
           </div>
         </div>
         <div className="flex w-full flex-row justify-center">
           <ReviewActivityCalendar
             reviewSummary={reviewSummary}
+            recordingsSummary={recordingsSummary}
             selectedDay={
               filter?.after == undefined
                 ? undefined
@@ -229,7 +246,7 @@ export default function MobileReviewSettingsDrawer({
         <SelectSeparator />
         <div className="flex items-center justify-center p-2">
           <Button
-            aria-label="Reset"
+            aria-label={t("button.reset", { ns: "common" })}
             onClick={() => {
               onUpdateFilter({
                 ...filter,
@@ -238,7 +255,7 @@ export default function MobileReviewSettingsDrawer({
               });
             }}
           >
-            Reset
+            {t("button.reset", { ns: "common" })}
           </Button>
         </div>
       </div>
@@ -251,10 +268,10 @@ export default function MobileReviewSettingsDrawer({
             className="absolute left-0 text-selected"
             onClick={() => setDrawerMode("select")}
           >
-            Back
+            {t("button.back", { ns: "common" })}
           </div>
           <div className="absolute left-1/2 -translate-x-1/2 text-muted-foreground">
-            Filter
+            {t("filter")}
           </div>
         </div>
         <GeneralFilterContent
@@ -307,8 +324,8 @@ export default function MobileReviewSettingsDrawer({
       >
         <DrawerTrigger asChild>
           <Button
-            className="rounded-lg capitalize"
-            aria-label="Filters"
+            className="rounded-lg smart-capitalize"
+            aria-label={t("filters")}
             variant={
               filter?.labels || filter?.after || filter?.zones
                 ? "select"
diff --git a/web/src/components/overlay/MobileTimelineDrawer.tsx b/web/src/components/overlay/MobileTimelineDrawer.tsx
index 1f4ff7ae2..ed71f8a23 100644
--- a/web/src/components/overlay/MobileTimelineDrawer.tsx
+++ b/web/src/components/overlay/MobileTimelineDrawer.tsx
@@ -4,6 +4,7 @@ import { Button } from "../ui/button";
 import { FaFlag } from "react-icons/fa";
 import { TimelineType } from "@/types/timeline";
 import { isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 
 type MobileTimelineDrawerProps = {
   selected: TimelineType;
@@ -13,6 +14,7 @@ export default function MobileTimelineDrawer({
   selected,
   onSelect,
 }: MobileTimelineDrawerProps) {
+  const { t } = useTranslation(["views/events"]);
   const [drawer, setDrawer] = useState(false);
 
   if (!isMobile) {
@@ -23,7 +25,7 @@ export default function MobileTimelineDrawer({
     <Drawer open={drawer} onOpenChange={setDrawer}>
       <DrawerTrigger asChild>
         <Button
-          className="rounded-lg capitalize"
+          className="rounded-lg smart-capitalize"
           aria-label="Select timeline or events list"
           size="sm"
         >
@@ -32,22 +34,22 @@ export default function MobileTimelineDrawer({
       </DrawerTrigger>
       <DrawerContent className="mx-1 flex max-h-[75dvh] flex-col items-center gap-2 overflow-hidden rounded-t-2xl px-4 pb-4">
         <div
-          className={`mx-4 w-full py-2 text-center capitalize ${selected == "timeline" ? "rounded-lg bg-secondary" : ""}`}
+          className={`mx-4 w-full py-2 text-center smart-capitalize ${selected == "timeline" ? "rounded-lg bg-secondary" : ""}`}
           onClick={() => {
             onSelect("timeline");
             setDrawer(false);
           }}
         >
-          Timeline
+          {t("timeline")}
         </div>
         <div
-          className={`mx-4 w-full py-2 text-center capitalize ${selected == "events" ? "rounded-lg bg-secondary" : ""}`}
+          className={`mx-4 w-full py-2 text-center smart-capitalize ${selected == "events" ? "rounded-lg bg-secondary" : ""}`}
           onClick={() => {
             onSelect("events");
             setDrawer(false);
           }}
         >
-          Events
+          {t("events.label")}
         </div>
       </DrawerContent>
     </Drawer>
diff --git a/web/src/components/overlay/ReviewActivityCalendar.tsx b/web/src/components/overlay/ReviewActivityCalendar.tsx
index 592714942..10617d3c9 100644
--- a/web/src/components/overlay/ReviewActivityCalendar.tsx
+++ b/web/src/components/overlay/ReviewActivityCalendar.tsx
@@ -1,24 +1,32 @@
-import { ReviewSummary } from "@/types/review";
+import { RecordingsSummary, ReviewSummary } from "@/types/review";
 import { Calendar } from "../ui/calendar";
-import { useMemo } from "react";
+import { ButtonHTMLAttributes, useEffect, useMemo, useRef } from "react";
 import { FaCircle } from "react-icons/fa";
 import { getUTCOffset } from "@/utils/dateUtil";
-import { type DayContentProps } from "react-day-picker";
+import { type DayButtonProps, TZDate } from "react-day-picker";
 import { LAST_24_HOURS_KEY } from "@/types/filter";
 import { usePersistence } from "@/hooks/use-persistence";
+import { cn } from "@/lib/utils";
+import { FrigateConfig } from "@/types/frigateConfig";
+import useSWR from "swr";
+import { useTimezone } from "@/hooks/use-date-utils";
 
 type WeekStartsOnType = 0 | 1 | 2 | 3 | 4 | 5 | 6;
 
 type ReviewActivityCalendarProps = {
   reviewSummary?: ReviewSummary;
+  recordingsSummary?: RecordingsSummary;
   selectedDay?: Date;
   onSelect: (day?: Date) => void;
 };
 export default function ReviewActivityCalendar({
   reviewSummary,
+  recordingsSummary,
   selectedDay,
   onSelect,
 }: ReviewActivityCalendarProps) {
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const timezone = useTimezone(config);
   const [weekStartsOn] = usePersistence("weekStartsOn", 0);
 
   const disabledDates = useMemo(() => {
@@ -30,39 +38,56 @@ export default function ReviewActivityCalendar({
   }, []);
 
   const modifiers = useMemo(() => {
-    if (!reviewSummary) {
-      return { alerts: [], detections: [] };
+    const recordings: Date[] = [];
+    const alerts: Date[] = [];
+    const detections: Date[] = [];
+
+    // Handle recordings
+    if (recordingsSummary) {
+      Object.keys(recordingsSummary).forEach((date) => {
+        if (date === LAST_24_HOURS_KEY) {
+          return;
+        }
+
+        const parts = date.split("-");
+        const cal = new TZDate(date + "T00:00:00", timezone);
+
+        cal.setFullYear(
+          parseInt(parts[0]),
+          parseInt(parts[1]) - 1,
+          parseInt(parts[2]),
+        );
+
+        recordings.push(cal);
+      });
     }
 
-    const unreviewedDetections: Date[] = [];
-    const unreviewedAlerts: Date[] = [];
+    // Handle reviews if present
+    if (reviewSummary) {
+      Object.entries(reviewSummary).forEach(([date, data]) => {
+        if (date === LAST_24_HOURS_KEY) {
+          return;
+        }
 
-    Object.entries(reviewSummary).forEach(([date, data]) => {
-      if (date == LAST_24_HOURS_KEY) {
-        return;
-      }
+        const parts = date.split("-");
+        const cal = new TZDate(date + "T00:00:00", timezone);
 
-      const parts = date.split("-");
-      const cal = new Date(date);
+        cal.setFullYear(
+          parseInt(parts[0]),
+          parseInt(parts[1]) - 1,
+          parseInt(parts[2]),
+        );
 
-      cal.setFullYear(
-        parseInt(parts[0]),
-        parseInt(parts[1]) - 1,
-        parseInt(parts[2]),
-      );
+        if (data.total_alert > data.reviewed_alert) {
+          alerts.push(cal);
+        } else if (data.total_detection > data.reviewed_detection) {
+          detections.push(cal);
+        }
+      });
+    }
 
-      if (data.total_alert > data.reviewed_alert) {
-        unreviewedAlerts.push(cal);
-      } else if (data.total_detection > data.reviewed_detection) {
-        unreviewedDetections.push(cal);
-      }
-    });
-
-    return {
-      alerts: unreviewedAlerts,
-      detections: unreviewedDetections,
-    };
-  }, [reviewSummary]);
+    return { alerts, detections, recordings };
+  }, [reviewSummary, recordingsSummary, timezone]);
 
   return (
     <Calendar
@@ -74,34 +99,70 @@ export default function ReviewActivityCalendar({
       onSelect={onSelect}
       modifiers={modifiers}
       components={{
-        DayContent: ReviewActivityDay,
+        DayButton: ReviewActivityDay,
       }}
       defaultMonth={selectedDay ?? new Date()}
       weekStartsOn={(weekStartsOn ?? 0) as WeekStartsOnType}
+      timeZone={timezone}
     />
   );
 }
 
-function ReviewActivityDay({ date, activeModifiers }: DayContentProps) {
+function ReviewActivityDay({
+  day,
+  modifiers,
+  ...buttonProps
+}: DayButtonProps & ButtonHTMLAttributes<HTMLButtonElement>) {
+  const ref = useRef<HTMLButtonElement>(null);
+
+  useEffect(() => {
+    if (modifiers.focused) ref.current?.focus();
+  }, [modifiers.focused]);
+
   const dayActivity = useMemo(() => {
-    if (activeModifiers["alerts"]) {
+    if (modifiers["alerts"]) {
       return "alert";
-    } else if (activeModifiers["detections"]) {
+    } else if (modifiers["detections"]) {
       return "detection";
     } else {
       return "none";
     }
-  }, [activeModifiers]);
+  }, [modifiers]);
 
   return (
-    <div className="flex flex-col items-center justify-center gap-0.5">
-      {date.getDate()}
-      {dayActivity != "none" && (
-        <FaCircle
-          className={`size-2 ${dayActivity == "alert" ? "fill-severity_alert" : "fill-severity_detection"}`}
+    <button ref={ref} {...buttonProps}>
+      <div className={cn("flex flex-col items-center justify-center gap-0.5")}>
+        <span
+          className={cn(
+            modifiers["recordings"] ? "text-primary" : "text-primary/40",
+          )}
+        >
+          {day.date.getDate()}
+        </span>
+        <div
+          className={cn(
+            "w-4",
+            modifiers["recordings"]
+              ? "border-b border-primary/60 text-primary"
+              : "text-primary/40",
+            modifiers.selected && "border-white text-white",
+          )}
         />
-      )}
-    </div>
+
+        <div className="mt-0.5 flex h-2 flex-row gap-0.5">
+          {dayActivity != "none" && (
+            <FaCircle
+              size={6}
+              className={cn(
+                dayActivity == "alert"
+                  ? "fill-severity_alert"
+                  : "fill-severity_detection",
+              )}
+            />
+          )}
+        </div>
+      </div>
+    </button>
   );
 }
 
diff --git a/web/src/components/overlay/RoleChangeDialog.tsx b/web/src/components/overlay/RoleChangeDialog.tsx
new file mode 100644
index 000000000..ed9e73436
--- /dev/null
+++ b/web/src/components/overlay/RoleChangeDialog.tsx
@@ -0,0 +1,131 @@
+import { Trans, useTranslation } from "react-i18next";
+import { Button } from "../ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "../ui/dialog";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "../ui/select";
+import { useState } from "react";
+import { LuShield, LuUser } from "react-icons/lu";
+
+type RoleChangeDialogProps = {
+  show: boolean;
+  username: string;
+  currentRole: "admin" | "viewer";
+  onSave: (role: "admin" | "viewer") => void;
+  onCancel: () => void;
+};
+
+export default function RoleChangeDialog({
+  show,
+  username,
+  currentRole,
+  onSave,
+  onCancel,
+}: RoleChangeDialogProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [selectedRole, setSelectedRole] = useState<"admin" | "viewer">(
+    currentRole,
+  );
+
+  return (
+    <Dialog open={show} onOpenChange={onCancel}>
+      <DialogContent className="sm:max-w-[425px]">
+        <DialogHeader>
+          <DialogTitle className="text-xl font-semibold">
+            {t("users.dialog.changeRole.title")}
+          </DialogTitle>
+          <DialogDescription>
+            <Trans
+              i18nKey="users.dialog.changeRole.desc"
+              ns="views/settings"
+              values={{ username }}
+              components={{
+                strong: <span className="font-medium" />,
+              }}
+            />
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="py-3">
+          <div className="mb-4 text-sm text-muted-foreground">
+            <p>{t("users.dialog.changeRole.roleInfo.intro")}</p>
+            <ul className="mt-2 list-disc space-y-1 pl-5">
+              <li>
+                <span className="font-medium">
+                  {t("users.dialog.changeRole.roleInfo.admin")}
+                </span>
+                : {t("users.dialog.changeRole.roleInfo.adminDesc")}
+              </li>
+              <li>
+                <span className="font-medium">
+                  {t("users.dialog.changeRole.roleInfo.viewer")}
+                </span>
+                : {t("users.dialog.changeRole.roleInfo.viewerDesc")}
+              </li>
+            </ul>
+          </div>
+
+          <Select
+            value={selectedRole}
+            onValueChange={(value) =>
+              setSelectedRole(value as "admin" | "viewer")
+            }
+          >
+            <SelectTrigger className="w-full">
+              <SelectValue placeholder={t("users.dialog.changeRole.select")} />
+            </SelectTrigger>
+            <SelectContent>
+              <SelectItem value="admin" className="flex items-center gap-2">
+                <div className="flex items-center gap-2">
+                  <LuShield className="size-4 text-primary" />
+                  <span>{t("role.admin", { ns: "common" })}</span>
+                </div>
+              </SelectItem>
+              <SelectItem value="viewer" className="flex items-center gap-2">
+                <div className="flex items-center gap-2">
+                  <LuUser className="size-4 text-primary" />
+                  <span>{t("role.viewer", { ns: "common" })}</span>
+                </div>
+              </SelectItem>
+            </SelectContent>
+          </Select>
+        </div>
+
+        <DialogFooter className="flex gap-3 sm:justify-end">
+          <div className="flex flex-1 flex-col justify-end">
+            <div className="flex flex-row gap-2 pt-5">
+              <Button
+                className="flex flex-1"
+                aria-label={t("button.cancel", { ns: "common" })}
+                onClick={onCancel}
+                type="button"
+              >
+                {t("button.cancel", { ns: "common" })}
+              </Button>
+              <Button
+                variant="select"
+                aria-label={t("button.save", { ns: "common" })}
+                className="flex flex-1"
+                onClick={() => onSave(selectedRole)}
+                disabled={selectedRole === currentRole}
+              >
+                {t("button.save", { ns: "common" })}
+              </Button>
+            </div>
+          </div>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/overlay/SaveExportOverlay.tsx b/web/src/components/overlay/SaveExportOverlay.tsx
index 6bb899ed8..510dbafb0 100644
--- a/web/src/components/overlay/SaveExportOverlay.tsx
+++ b/web/src/components/overlay/SaveExportOverlay.tsx
@@ -2,6 +2,7 @@ import { LuVideo, LuX } from "react-icons/lu";
 import { Button } from "../ui/button";
 import { FaCompactDisc } from "react-icons/fa";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type SaveExportOverlayProps = {
   className: string;
@@ -17,6 +18,7 @@ export default function SaveExportOverlay({
   onSave,
   onCancel,
 }: SaveExportOverlayProps) {
+  const { t } = useTranslation("components/dialog");
   return (
     <div className={className}>
       <div
@@ -28,31 +30,31 @@ export default function SaveExportOverlay({
       >
         <Button
           className="flex items-center gap-1 text-primary"
-          aria-label="Cancel"
+          aria-label={t("button.cancel", { ns: "common" })}
           size="sm"
           onClick={onCancel}
         >
           <LuX />
-          Cancel
+          {t("button.cancel", { ns: "common" })}
         </Button>
         <Button
           className="flex items-center gap-1"
-          aria-label="Preview export"
+          aria-label={t("export.fromTimeline.previewExport")}
           size="sm"
           onClick={onPreview}
         >
           <LuVideo />
-          Preview Export
+          {t("export.fromTimeline.previewExport")}
         </Button>
         <Button
           className="flex items-center gap-1"
-          aria-label="Save export"
+          aria-label={t("export.fromTimeline.saveExport")}
           variant="select"
           size="sm"
           onClick={onSave}
         >
           <FaCompactDisc />
-          Save Export
+          {t("export.fromTimeline.saveExport")}
         </Button>
       </div>
     </div>
diff --git a/web/src/components/overlay/SetPasswordDialog.tsx b/web/src/components/overlay/SetPasswordDialog.tsx
index 2f6cc4eaf..05aff4cdf 100644
--- a/web/src/components/overlay/SetPasswordDialog.tsx
+++ b/web/src/components/overlay/SetPasswordDialog.tsx
@@ -1,50 +1,223 @@
+"use client";
+
 import { Button } from "../ui/button";
 import { Input } from "../ui/input";
-import { useState } from "react";
+import { useState, useEffect } from "react";
 import {
   Dialog,
   DialogContent,
+  DialogDescription,
   DialogFooter,
   DialogHeader,
   DialogTitle,
 } from "../ui/dialog";
 
+import { Label } from "../ui/label";
+import { LuCheck, LuX } from "react-icons/lu";
+import { useTranslation } from "react-i18next";
+
 type SetPasswordProps = {
   show: boolean;
   onSave: (password: string) => void;
   onCancel: () => void;
+  username?: string;
 };
+
 export default function SetPasswordDialog({
   show,
   onSave,
   onCancel,
+  username,
 }: SetPasswordProps) {
-  const [password, setPassword] = useState<string>();
+  const { t } = useTranslation(["views/settings"]);
+  const [password, setPassword] = useState<string>("");
+  const [confirmPassword, setConfirmPassword] = useState<string>("");
+  const [passwordStrength, setPasswordStrength] = useState<number>(0);
+  const [error, setError] = useState<string | null>(null);
+
+  // Reset state when dialog opens/closes
+  useEffect(() => {
+    if (show) {
+      setPassword("");
+      setConfirmPassword("");
+      setError(null);
+    }
+  }, [show]);
+
+  // Simple password strength calculation
+  useEffect(() => {
+    if (!password) {
+      setPasswordStrength(0);
+      return;
+    }
+
+    let strength = 0;
+    // Length check
+    if (password.length >= 8) strength += 1;
+    // Contains number
+    if (/\d/.test(password)) strength += 1;
+    // Contains special char
+    if (/[!@#$%^&*(),.?":{}|<>]/.test(password)) strength += 1;
+    // Contains uppercase
+    if (/[A-Z]/.test(password)) strength += 1;
+
+    setPasswordStrength(strength);
+  }, [password]);
+
+  const handleSave = () => {
+    if (!password) {
+      setError(t("users.dialog.passwordSetting.cannotBeEmpty"));
+      return;
+    }
+
+    if (password !== confirmPassword) {
+      setError(t("users.dialog.passwordSetting.doNotMatch"));
+      return;
+    }
+
+    onSave(password);
+  };
+
+  const getStrengthLabel = () => {
+    if (!password) return "";
+    if (passwordStrength <= 1)
+      return t("users.dialog.form.password.strength.weak");
+    if (passwordStrength === 2)
+      return t("users.dialog.form.password.strength.medium");
+    if (passwordStrength === 3)
+      return t("users.dialog.form.password.strength.strong");
+    return t("users.dialog.form.password.strength.veryStrong");
+  };
+
+  const getStrengthColor = () => {
+    if (!password) return "bg-gray-200";
+    if (passwordStrength <= 1) return "bg-red-500";
+    if (passwordStrength === 2) return "bg-yellow-500";
+    if (passwordStrength === 3) return "bg-green-500";
+    return "bg-green-600";
+  };
 
   return (
     <Dialog open={show} onOpenChange={onCancel}>
-      <DialogContent onOpenAutoFocus={(e) => e.preventDefault()}>
-        <DialogHeader>
-          <DialogTitle>Set Password</DialogTitle>
+      <DialogContent className="sm:max-w-[425px]">
+        <DialogHeader className="space-y-2">
+          <DialogTitle>
+            {username
+              ? t("users.dialog.passwordSetting.updatePassword", {
+                  username,
+                  ns: "views/settings",
+                })
+              : t("users.dialog.passwordSetting.setPassword")}
+          </DialogTitle>
+          <DialogDescription>
+            {t("users.dialog.passwordSetting.desc")}
+          </DialogDescription>
         </DialogHeader>
-        <Input
-          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-          type="password"
-          value={password}
-          onChange={(event) => setPassword(event.target.value)}
-        />
-        <DialogFooter>
-          <Button
-            className="flex items-center gap-1"
-            aria-label="Save Password"
-            variant="select"
-            size="sm"
-            onClick={() => {
-              onSave(password!);
-            }}
-          >
-            Save
-          </Button>
+
+        <div className="space-y-4 py-4">
+          <div className="space-y-2">
+            <Label htmlFor="password">
+              {t("users.dialog.form.newPassword.title")}
+            </Label>
+            <Input
+              id="password"
+              className="h-10"
+              type="password"
+              value={password}
+              onChange={(event) => {
+                setPassword(event.target.value);
+                setError(null);
+              }}
+              placeholder={t("users.dialog.form.newPassword.placeholder")}
+              autoFocus
+            />
+
+            {/* Password strength indicator */}
+            {password && (
+              <div className="mt-2 space-y-1">
+                <div className="flex h-1.5 w-full overflow-hidden rounded-full bg-secondary-foreground">
+                  <div
+                    className={`${getStrengthColor()} transition-all duration-300`}
+                    style={{ width: `${(passwordStrength / 3) * 100}%` }}
+                  />
+                </div>
+                <p className="text-xs text-muted-foreground">
+                  {t("users.dialog.form.password.strength.title")}
+                  <span className="font-medium">{getStrengthLabel()}</span>
+                </p>
+              </div>
+            )}
+          </div>
+
+          <div className="space-y-2">
+            <Label htmlFor="confirm-password">
+              {t("users.dialog.form.password.confirm.title")}
+            </Label>
+            <Input
+              id="confirm-password"
+              className="h-10"
+              type="password"
+              value={confirmPassword}
+              onChange={(event) => {
+                setConfirmPassword(event.target.value);
+                setError(null);
+              }}
+              placeholder={t(
+                "users.dialog.form.newPassword.confirm.placeholder",
+              )}
+            />
+
+            {/* Password match indicator */}
+            {password && confirmPassword && (
+              <div className="mt-1 flex items-center gap-1.5 text-xs">
+                {password === confirmPassword ? (
+                  <>
+                    <LuCheck className="size-3.5 text-green-500" />
+                    <span className="text-green-600">
+                      {t("users.dialog.form.password.match")}
+                    </span>
+                  </>
+                ) : (
+                  <>
+                    <LuX className="size-3.5 text-red-500" />
+                    <span className="text-red-600">
+                      {t("users.dialog.form.password.notMatch")}
+                    </span>
+                  </>
+                )}
+              </div>
+            )}
+          </div>
+
+          {error && (
+            <div className="rounded-md bg-destructive/10 p-3 text-sm text-destructive">
+              {error}
+            </div>
+          )}
+        </div>
+
+        <DialogFooter className="flex flex-col-reverse gap-2 sm:flex-row sm:justify-end">
+          <div className="flex flex-1 flex-col justify-end">
+            <div className="flex flex-row gap-2 pt-5">
+              <Button
+                className="flex flex-1"
+                aria-label={t("button.cancel", { ns: "common" })}
+                onClick={onCancel}
+                type="button"
+              >
+                {t("button.cancel", { ns: "common" })}
+              </Button>
+              <Button
+                variant="select"
+                aria-label={t("button.save", { ns: "common" })}
+                className="flex flex-1"
+                onClick={handleSave}
+                disabled={!password || password !== confirmPassword}
+              >
+                {t("button.save", { ns: "common" })}
+              </Button>
+            </div>
+          </div>
         </DialogFooter>
       </DialogContent>
     </Dialog>
diff --git a/web/src/components/overlay/detail/AnnotationSettingsPane.tsx b/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
index 79d078c1f..f71c2d6ba 100644
--- a/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
+++ b/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
@@ -26,6 +26,8 @@ import { Button } from "@/components/ui/button";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { Input } from "@/components/ui/input";
 import { Separator } from "@/components/ui/separator";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 type AnnotationSettingsPaneProps = {
   event: Event;
@@ -41,6 +43,9 @@ export function AnnotationSettingsPane({
   annotationOffset,
   setAnnotationOffset,
 }: AnnotationSettingsPaneProps) {
+  const { t } = useTranslation(["views/explore"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
@@ -74,29 +79,43 @@ export function AnnotationSettingsPane({
         .then((res) => {
           if (res.status === 200) {
             toast.success(
-              `Annotation offset for ${event?.camera} has been saved to the config file. Restart Frigate to apply your changes.`,
+              t("objectLifecycle.annotationSettings.offset.toast.success", {
+                camera: event?.camera,
+              }),
               {
                 position: "top-center",
               },
             );
             updateConfig();
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", { errorMessage, ns: "common" }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
           setIsLoading(false);
         });
     },
-    [updateConfig, config, event],
+    [updateConfig, config, event, t],
   );
 
   function onSubmit(values: z.infer<typeof formSchema>) {
@@ -123,7 +142,7 @@ export function AnnotationSettingsPane({
   return (
     <div className="mb-3 space-y-3 rounded-lg border border-secondary-foreground bg-background_alt p-2">
       <Heading as="h4" className="my-2">
-        Annotation Settings
+        {t("objectLifecycle.annotationSettings.title")}
       </Heading>
       <div className="flex flex-col">
         <div className="flex flex-row items-center justify-start gap-2 p-3">
@@ -133,11 +152,11 @@ export function AnnotationSettingsPane({
             onCheckedChange={setShowZones}
           />
           <Label className="cursor-pointer" htmlFor="show-zones">
-            Show All Zones
+            {t("objectLifecycle.annotationSettings.showAllZones.title")}
           </Label>
         </div>
         <div className="text-sm text-muted-foreground">
-          Always show zones on frames where objects have entered a zone.
+          {t("objectLifecycle.annotationSettings.showAllZones.desc")}
         </div>
       </div>
       <Separator className="my-2 flex bg-secondary" />
@@ -151,25 +170,26 @@ export function AnnotationSettingsPane({
             name="annotationOffset"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Annotation Offset</FormLabel>
+                <FormLabel>
+                  {t("objectLifecycle.annotationSettings.offset.label")}
+                </FormLabel>
                 <div className="flex flex-col gap-3 md:flex-row-reverse md:gap-8">
                   <div className="flex flex-row items-center gap-3 rounded-lg bg-destructive/50 p-3 text-sm text-primary-variant md:my-0 md:my-5">
                     <PiWarningCircle className="size-24" />
                     <div>
-                      This data comes from your camera's detect feed but is
-                      overlayed on images from the the record feed. It is
-                      unlikely that the two streams are perfectly in sync. As a
-                      result, the bounding box and the footage will not line up
-                      perfectly. However, the <code>annotation_offset</code>{" "}
-                      field can be used to adjust this.
+                      <Trans ns="views/explore">
+                        objectLifecycle.annotationSettings.offset.desc
+                      </Trans>
                       <div className="mt-2 flex items-center text-primary">
                         <Link
-                          to="https://docs.frigate.video/configuration/reference"
+                          to={getLocaleDocUrl("configuration/reference")}
                           target="_blank"
                           rel="noopener noreferrer"
                           className="inline"
                         >
-                          Read the documentation{" "}
+                          {t(
+                            "objectLifecycle.annotationSettings.offset.documentation",
+                          )}
                           <LuExternalLink className="ml-2 inline-flex size-3" />
                         </Link>
                       </div>
@@ -184,16 +204,11 @@ export function AnnotationSettingsPane({
                       />
                     </FormControl>
                     <FormDescription>
-                      Milliseconds to offset detect annotations by.{" "}
-                      <em>Default: 0</em>
+                      <Trans ns="views/explore">
+                        objectLifecycle.annotationSettings.offset.millisecondsToOffset
+                      </Trans>
                       <div className="mt-2">
-                        TIP: Imagine there is an event clip with a person
-                        walking from left to right. If the event timeline
-                        bounding box is consistently to the left of the person
-                        then the value should be decreased. Similarly, if a
-                        person is walking from left to right and the bounding
-                        box is consistently ahead of the person then the value
-                        should be increased.
+                        {t("objectLifecycle.annotationSettings.offset.tips")}
                       </div>
                     </FormDescription>
                   </div>
@@ -207,14 +222,14 @@ export function AnnotationSettingsPane({
             <div className="flex flex-row gap-2 pt-5">
               <Button
                 className="flex flex-1"
-                aria-label="Apply"
+                aria-label={t("button.apply", { ns: "common" })}
                 onClick={form.handleSubmit(onApply)}
               >
-                Apply
+                {t("button.apply", { ns: "common" })}
               </Button>
               <Button
                 variant="select"
-                aria-label="Save"
+                aria-label={t("button.save", { ns: "common" })}
                 disabled={isLoading}
                 className="flex flex-1"
                 type="submit"
@@ -222,10 +237,10 @@ export function AnnotationSettingsPane({
                 {isLoading ? (
                   <div className="flex flex-row items-center gap-2">
                     <ActivityIndicator />
-                    <span>Saving...</span>
+                    <span>{t("button.saving", { ns: "common" })}</span>
                   </div>
                 ) : (
-                  "Save"
+                  t("button.save", { ns: "common" })
                 )}
               </Button>
             </div>
diff --git a/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx b/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx
new file mode 100644
index 000000000..9207ce02f
--- /dev/null
+++ b/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx
@@ -0,0 +1,184 @@
+import StepIndicator from "@/components/indicators/StepIndicator";
+import ImageEntry from "@/components/input/ImageEntry";
+import TextEntry from "@/components/input/TextEntry";
+import {
+  MobilePage,
+  MobilePageContent,
+  MobilePageDescription,
+  MobilePageHeader,
+  MobilePageTitle,
+} from "@/components/mobile/MobilePage";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { cn } from "@/lib/utils";
+import axios from "axios";
+import { useCallback, useState } from "react";
+import { isDesktop } from "react-device-detect";
+import { Trans, useTranslation } from "react-i18next";
+import { LuExternalLink } from "react-icons/lu";
+import { Link } from "react-router-dom";
+import { toast } from "sonner";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
+const STEPS = ["steps.faceName", "steps.uploadFace", "steps.nextSteps"];
+
+type CreateFaceWizardDialogProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+  onFinish: () => void;
+};
+export default function CreateFaceWizardDialog({
+  open,
+  setOpen,
+  onFinish,
+}: CreateFaceWizardDialogProps) {
+  const { t } = useTranslation("views/faceLibrary");
+  const { getLocaleDocUrl } = useDocDomain();
+  // wizard
+
+  const [step, setStep] = useState(0);
+  const [name, setName] = useState("");
+
+  const handleReset = useCallback(() => {
+    setStep(0);
+    setName("");
+    setOpen(false);
+  }, [setOpen]);
+
+  // data handling
+
+  const onUploadImage = useCallback(
+    (file: File) => {
+      const formData = new FormData();
+      formData.append("file", file);
+      axios
+        .post(`faces/${name}/register`, formData, {
+          headers: {
+            "Content-Type": "multipart/form-data",
+          },
+        })
+        .then((resp) => {
+          if (resp.status == 200) {
+            setStep(2);
+            toast.success(t("toast.success.uploadedImage"), {
+              position: "top-center",
+            });
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.uploadingImageFailed", { errorMessage }), {
+            position: "top-center",
+          });
+        });
+    },
+    [name, t],
+  );
+
+  // layout
+
+  const Overlay = isDesktop ? Dialog : MobilePage;
+  const Content = isDesktop ? DialogContent : MobilePageContent;
+  const Header = isDesktop ? DialogHeader : MobilePageHeader;
+  const Title = isDesktop ? DialogTitle : MobilePageTitle;
+  const Description = isDesktop ? DialogDescription : MobilePageDescription;
+
+  return (
+    <Overlay
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) {
+          handleReset();
+        }
+      }}
+    >
+      <Content
+        className={cn("flex flex-col gap-4", isDesktop ? "max-w-3xl" : "p-4")}
+      >
+        <Header>
+          <Title>{t("button.addFace")}</Title>
+          {isDesktop && <Description>{t("description.addFace")}</Description>}
+        </Header>
+        <StepIndicator
+          steps={STEPS}
+          currentStep={step}
+          translationNameSpace="views/faceLibrary"
+        />
+        {step == 0 && (
+          <TextEntry
+            placeholder={t("description.placeholder")}
+            onSave={(name) => {
+              setName(name);
+              setStep(1);
+            }}
+            regexPattern={/^[\p{L}\p{N}\s'_-]{1,50}$/u}
+            regexErrorMessage={t("description.invalidName")}
+          >
+            <div className="flex justify-end py-2">
+              <Button variant="select" type="submit">
+                {t("button.next", { ns: "common" })}
+              </Button>
+            </div>
+          </TextEntry>
+        )}
+        {step == 1 && (
+          <>
+            <div className="px-8 py-2 text-center text-sm text-secondary-foreground">
+              {t("steps.description.uploadFace", { name })}
+            </div>
+            <ImageEntry onSave={onUploadImage}>
+              <div className="flex justify-end py-2">
+                <Button variant="select" type="submit">
+                  {t("button.next", { ns: "common" })}
+                </Button>
+              </div>
+            </ImageEntry>
+          </>
+        )}
+        {step == 2 && (
+          <div className="mt-2">
+            {t("toast.success.addFaceLibrary", { name })}
+            <p className="py-4 text-sm text-primary-variant">
+              <ul className="list-inside list-disc">
+                <Trans ns="views/faceLibrary">
+                  createFaceLibrary.nextSteps
+                </Trans>
+              </ul>
+            </p>
+            <div className="my-2 flex items-center text-sm text-primary">
+              <Link
+                to={getLocaleDocUrl("configuration/face_recognition")}
+                target="_blank"
+                rel="noopener noreferrer"
+                className="inline"
+              >
+                {t("readTheDocs")}
+                <LuExternalLink className="ml-2 inline-flex size-3" />
+              </Link>
+            </div>
+            <div className="flex justify-end">
+              <Button
+                variant="select"
+                onClick={() => {
+                  onFinish();
+                  handleReset();
+                }}
+              >
+                {t("button.done", { ns: "common" })}
+              </Button>
+            </div>
+          </div>
+        )}
+      </Content>
+    </Overlay>
+  );
+}
diff --git a/web/src/components/overlay/detail/ObjectLifecycle.tsx b/web/src/components/overlay/detail/ObjectLifecycle.tsx
index 9512e4a7e..3fc702854 100644
--- a/web/src/components/overlay/detail/ObjectLifecycle.tsx
+++ b/web/src/components/overlay/detail/ObjectLifecycle.tsx
@@ -23,7 +23,6 @@ import {
   LuEar,
   LuFolderX,
   LuPlay,
-  LuPlayCircle,
   LuSettings,
   LuTruck,
 } from "react-icons/lu";
@@ -45,6 +44,17 @@ import {
 } from "@/components/ui/tooltip";
 import { AnnotationSettingsPane } from "./AnnotationSettingsPane";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
+import {
+  ContextMenu,
+  ContextMenuContent,
+  ContextMenuItem,
+  ContextMenuTrigger,
+} from "@/components/ui/context-menu";
+import { useNavigate } from "react-router-dom";
+import { ObjectPath } from "./ObjectPath";
+import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
+import { IoPlayCircleOutline } from "react-icons/io5";
+import { useTranslation } from "react-i18next";
 
 type ObjectLifecycleProps = {
   className?: string;
@@ -59,6 +69,8 @@ export default function ObjectLifecycle({
   fullscreen = false,
   setPane,
 }: ObjectLifecycleProps) {
+  const { t } = useTranslation(["views/explore"]);
+
   const { data: eventSequence } = useSWR<ObjectLifecycleSequence[]>([
     "timeline",
     {
@@ -68,6 +80,7 @@ export default function ObjectLifecycle({
 
   const { data: config } = useSWR<FrigateConfig>("config");
   const apiHost = useApiHost();
+  const navigate = useNavigate();
 
   const [imgLoaded, setImgLoaded] = useState(false);
   const imgRef = useRef<HTMLImageElement>(null);
@@ -100,6 +113,17 @@ export default function ObjectLifecycle({
     [config, event],
   );
 
+  const getObjectColor = useCallback(
+    (label: string) => {
+      const objectColor = config?.model?.colormap[label];
+      if (objectColor) {
+        const reversed = [...objectColor].reverse();
+        return reversed;
+      }
+    },
+    [config],
+  );
+
   const getZonePolygon = useCallback(
     (zoneName: string) => {
       if (!imgRef.current || !config) {
@@ -112,7 +136,7 @@ export default function ObjectLifecycle({
 
       return zonePoints
         .split(",")
-        .map(parseFloat)
+        .map(Number.parseFloat)
         .reduce((acc, value, index) => {
           const isXCoordinate = index % 2 === 0;
           const coordinate = isXCoordinate
@@ -150,6 +174,47 @@ export default function ObjectLifecycle({
     );
   }, [config, event.camera]);
 
+  const savedPathPoints = useMemo(() => {
+    return (
+      event.data.path_data?.map(([coords, timestamp]: [number[], number]) => ({
+        x: coords[0],
+        y: coords[1],
+        timestamp,
+        lifecycle_item: undefined,
+      })) || []
+    );
+  }, [event.data.path_data]);
+
+  const eventSequencePoints = useMemo(() => {
+    return (
+      eventSequence
+        ?.filter((event) => event.data.box !== undefined)
+        .map((event) => {
+          const [left, top, width, height] = event.data.box!;
+
+          return {
+            x: left + width / 2, // Center x-coordinate
+            y: top + height, // Bottom y-coordinate
+            timestamp: event.timestamp,
+            lifecycle_item: event,
+          };
+        }) || []
+    );
+  }, [eventSequence]);
+
+  // final object path with timeline points included
+  const pathPoints = useMemo(() => {
+    // don't display a path if we don't have any saved path points
+    if (
+      savedPathPoints.length === 0 ||
+      config?.cameras[event.camera]?.onvif.autotracking.enabled_in_config
+    )
+      return [];
+    return [...savedPathPoints, ...eventSequencePoints].sort(
+      (a, b) => a.timestamp - b.timestamp,
+    );
+  }, [savedPathPoints, eventSequencePoints, config, event]);
+
   const [timeIndex, setTimeIndex] = useState(0);
 
   const handleSetBox = useCallback(
@@ -163,12 +228,13 @@ export default function ObjectLifecycle({
           top: `${box[1] * imgRect.height}px`,
           width: `${box[2] * imgRect.width}px`,
           height: `${box[3] * imgRect.height}px`,
+          borderColor: `rgb(${getObjectColor(event.label)?.join(",")})`,
         };
 
         setBoxStyle(style);
       }
     },
-    [imgRef],
+    [imgRef, event, getObjectColor],
   );
 
   // image
@@ -219,9 +285,16 @@ export default function ObjectLifecycle({
 
   useEffect(() => {
     if (eventSequence && eventSequence.length > 0) {
-      setTimeIndex(eventSequence?.[current].timestamp);
-      handleSetBox(eventSequence?.[current].data.box ?? []);
-      setLifecycleZones(eventSequence?.[current].data.zones);
+      if (current == -1) {
+        // normal path point
+        setBoxStyle(null);
+        setLifecycleZones([]);
+      } else {
+        // lifecycle point
+        setTimeIndex(eventSequence?.[current].timestamp);
+        handleSetBox(eventSequence?.[current].data.box ?? []);
+        setLifecycleZones(eventSequence?.[current].data.zones);
+      }
       setSelectedZone("");
     }
   }, [current, imgLoaded, handleSetBox, eventSequence]);
@@ -246,6 +319,25 @@ export default function ObjectLifecycle({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [mainApi, thumbnailApi]);
 
+  const handlePathPointClick = useCallback(
+    (index: number) => {
+      if (!mainApi || !thumbnailApi || !eventSequence) return;
+      const sequenceIndex = eventSequence.findIndex(
+        (item) => item.timestamp === pathPoints[index].timestamp,
+      );
+      if (sequenceIndex !== -1) {
+        mainApi.scrollTo(sequenceIndex);
+        thumbnailApi.scrollTo(sequenceIndex);
+        setCurrent(sequenceIndex);
+      } else {
+        // click on a normal path point, not a lifecycle point
+        setCurrent(-1);
+        setTimeIndex(pathPoints[index].timestamp);
+      }
+    },
+    [mainApi, thumbnailApi, eventSequence, pathPoints],
+  );
+
   if (!event.id || !eventSequence || !config || !timeIndex) {
     return <ActivityIndicator />;
   }
@@ -256,12 +348,16 @@ export default function ObjectLifecycle({
         <div className={cn("flex items-center gap-2")}>
           <Button
             className="mb-2 mt-3 flex items-center gap-2.5 rounded-lg md:mt-0"
-            aria-label="Go back"
+            aria-label={t("label.back", { ns: "common" })}
             size="sm"
             onClick={() => setPane("overview")}
           >
             <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-            {isDesktop && <div className="text-primary">Back</div>}
+            {isDesktop && (
+              <div className="text-primary">
+                {t("button.back", { ns: "common" })}
+              </div>
+            )}
           </Button>
         </div>
       )}
@@ -269,7 +365,6 @@ export default function ObjectLifecycle({
       <div
         className={cn(
           "relative mx-auto flex max-h-[50dvh] flex-row justify-center",
-          !imgLoaded && aspectRatio < 16 / 9 && "h-full",
         )}
         style={{
           aspectRatio: !imgLoaded ? aspectRatio : undefined,
@@ -283,7 +378,7 @@ export default function ObjectLifecycle({
           <div className="relative aspect-video">
             <div className="flex flex-col items-center justify-center p-20 text-center">
               <LuFolderX className="size-16" />
-              No image found for this timestamp.
+              {t("objectLifecycle.noImageFound")}
             </div>
           </div>
         )}
@@ -293,67 +388,115 @@ export default function ObjectLifecycle({
             imgLoaded ? "visible" : "invisible",
           )}
         >
-          <img
-            key={event.id}
-            ref={imgRef}
-            className={cn(
-              "max-h-[50dvh] max-w-full select-none rounded-lg object-contain",
-            )}
-            loading={isSafari ? "eager" : "lazy"}
-            style={
-              isIOS
-                ? {
-                    WebkitUserSelect: "none",
-                    WebkitTouchCallout: "none",
-                  }
-                : undefined
-            }
-            draggable={false}
-            src={src}
-            onLoad={() => setImgLoaded(true)}
-            onError={() => setHasError(true)}
-          />
+          <ContextMenu>
+            <ContextMenuTrigger>
+              <img
+                key={event.id}
+                ref={imgRef}
+                className={cn(
+                  "max-h-[50dvh] max-w-full select-none rounded-lg object-contain",
+                )}
+                loading={isSafari ? "eager" : "lazy"}
+                style={
+                  isIOS
+                    ? {
+                        WebkitUserSelect: "none",
+                        WebkitTouchCallout: "none",
+                      }
+                    : undefined
+                }
+                draggable={false}
+                src={src}
+                onLoad={() => setImgLoaded(true)}
+                onError={() => setHasError(true)}
+              />
 
-          {showZones &&
-            lifecycleZones?.map((zone) => (
-              <div
-                className="absolute inset-0 flex items-center justify-center"
-                style={{
-                  width: imgRef.current?.clientWidth,
-                  height: imgRef.current?.clientHeight,
-                }}
-                key={zone}
-              >
-                <svg
-                  viewBox={`0 0 ${imgRef.current?.width} ${imgRef.current?.height}`}
-                  className="absolute inset-0"
-                >
-                  <polygon
-                    points={getZonePolygon(zone)}
-                    className="fill-none stroke-2"
+              {showZones &&
+                imgRef.current?.width &&
+                imgRef.current?.height &&
+                lifecycleZones?.map((zone) => (
+                  <div
+                    className="absolute inset-0 flex items-center justify-center"
                     style={{
-                      stroke: `rgb(${getZoneColor(zone)?.join(",")})`,
-                      fill:
-                        selectedZone == zone
-                          ? `rgba(${getZoneColor(zone)?.join(",")}, 0.5)`
-                          : `rgba(${getZoneColor(zone)?.join(",")}, 0.3)`,
-                      strokeWidth: selectedZone == zone ? 4 : 2,
+                      width: imgRef.current?.clientWidth,
+                      height: imgRef.current?.clientHeight,
                     }}
-                  />
-                </svg>
-              </div>
-            ))}
+                    key={zone}
+                  >
+                    <svg
+                      viewBox={`0 0 ${imgRef.current?.width} ${imgRef.current?.height}`}
+                      className="absolute inset-0"
+                    >
+                      <polygon
+                        points={getZonePolygon(zone)}
+                        className="fill-none stroke-2"
+                        style={{
+                          stroke: `rgb(${getZoneColor(zone)?.join(",")})`,
+                          fill:
+                            selectedZone == zone
+                              ? `rgba(${getZoneColor(zone)?.join(",")}, 0.5)`
+                              : `rgba(${getZoneColor(zone)?.join(",")}, 0.3)`,
+                          strokeWidth: selectedZone == zone ? 4 : 2,
+                        }}
+                      />
+                    </svg>
+                  </div>
+                ))}
 
-          {boxStyle && (
-            <div className="absolute border-2 border-red-600" style={boxStyle}>
-              <div className="absolute bottom-[-3px] left-1/2 h-[5px] w-[5px] -translate-x-1/2 transform bg-yellow-500" />
-            </div>
-          )}
+              {boxStyle && (
+                <div className="absolute border-2" style={boxStyle}>
+                  <div className="absolute bottom-[-3px] left-1/2 h-[5px] w-[5px] -translate-x-1/2 transform bg-yellow-500" />
+                </div>
+              )}
+              {imgRef.current?.width &&
+                imgRef.current?.height &&
+                pathPoints &&
+                pathPoints.length > 0 && (
+                  <div
+                    className="absolute inset-0 flex items-center justify-center"
+                    style={{
+                      width: imgRef.current?.clientWidth,
+                      height: imgRef.current?.clientHeight,
+                    }}
+                    key="path"
+                  >
+                    <svg
+                      viewBox={`0 0 ${imgRef.current?.width} ${imgRef.current?.height}`}
+                      className="absolute inset-0"
+                    >
+                      <ObjectPath
+                        positions={pathPoints}
+                        color={getObjectColor(event.label)}
+                        width={2}
+                        imgRef={imgRef}
+                        onPointClick={handlePathPointClick}
+                      />
+                    </svg>
+                  </div>
+                )}
+            </ContextMenuTrigger>
+            <ContextMenuContent>
+              <ContextMenuItem>
+                <div
+                  className="flex w-full cursor-pointer items-center justify-start gap-2 p-2"
+                  onClick={() =>
+                    navigate(
+                      `/settings?page=masksAndZones&camera=${event.camera}&object_mask=${eventSequence?.[current].data.box}`,
+                    )
+                  }
+                >
+                  <div className="text-primary">
+                    {t("objectLifecycle.createObjectMask")}
+                  </div>
+                </div>
+              </ContextMenuItem>
+            </ContextMenuContent>
+          </ContextMenu>
         </div>
       </div>
 
       <div className="mt-3 flex flex-row items-center justify-between">
-        <Heading as="h4">Object Lifecycle</Heading>
+        <Heading as="h4">{t("objectLifecycle.title")}</Heading>
 
         <div className="flex flex-row gap-2">
           <Tooltip>
@@ -361,7 +504,7 @@ export default function ObjectLifecycle({
               <Button
                 variant={showControls ? "select" : "default"}
                 className="size-7 p-1.5"
-                aria-label="Adjust annotation settings"
+                aria-label={t("objectLifecycle.adjustAnnotationSettings")}
               >
                 <LuSettings
                   className="size-5"
@@ -370,19 +513,29 @@ export default function ObjectLifecycle({
               </Button>
             </TooltipTrigger>
             <TooltipPortal>
-              <TooltipContent>Adjust annotation settings</TooltipContent>
+              <TooltipContent>
+                {t("objectLifecycle.adjustAnnotationSettings")}
+              </TooltipContent>
             </TooltipPortal>
           </Tooltip>
         </div>
       </div>
       <div className="flex flex-row items-center justify-between">
         <div className="mb-2 text-sm text-muted-foreground">
-          Scroll to view the significant moments of this object's lifecycle.
+          {t("objectLifecycle.scrollViewTips")}
         </div>
         <div className="min-w-20 text-right text-sm text-muted-foreground">
-          {current + 1} of {eventSequence.length}
+          {t("objectLifecycle.count", {
+            first: current + 1,
+            second: eventSequence.length,
+          })}
         </div>
       </div>
+      {config?.cameras[event.camera]?.onvif.autotracking.enabled_in_config && (
+        <div className="-mt-2 mb-2 text-sm text-danger">
+          {t("objectLifecycle.autoTrackingTips")}
+        </div>
+      )}
       {showControls && (
         <AnnotationSettingsPane
           event={event}
@@ -422,16 +575,20 @@ export default function ObjectLifecycle({
                         </div>
                       </div>
                       <div className="mx-3 text-lg">
-                        <div className="flex flex-row items-center capitalize text-primary">
+                        <div className="flex flex-row items-center text-primary smart-capitalize">
                           {getLifecycleItemDescription(item)}
                         </div>
                         <div className="text-sm text-primary-variant">
                           {formatUnixTimestampToDateTime(item.timestamp, {
                             timezone: config.ui.timezone,
-                            strftime_fmt:
+                            date_format:
                               config.ui.time_format == "24hour"
-                                ? "%d %b %H:%M:%S"
-                                : "%m/%d %I:%M:%S%P",
+                                ? t("time.formattedTimestamp2.24hour", {
+                                    ns: "common",
+                                  })
+                                : t("time.formattedTimestamp2.12hour", {
+                                    ns: "common",
+                                  }),
                             time_style: "medium",
                             date_style: "medium",
                           })}
@@ -442,7 +599,9 @@ export default function ObjectLifecycle({
                       <div className="text-md mr-2 w-1/3">
                         <div className="flex flex-col items-end justify-start">
                           <p className="mb-1.5 text-sm text-primary-variant">
-                            Zones
+                            {t(
+                              "objectLifecycle.lifecycleItemDesc.header.zones",
+                            )}
                           </p>
                           {item.class_type === "entered_zone"
                             ? item.data.zones.map((zone, index) => (
@@ -460,7 +619,7 @@ export default function ObjectLifecycle({
                                   )}
                                   <div
                                     key={index}
-                                    className="cursor-pointer capitalize"
+                                    className="cursor-pointer smart-capitalize"
                                     onClick={() => setSelectedZone(zone)}
                                   >
                                     {zone.replaceAll("_", " ")}
@@ -473,7 +632,9 @@ export default function ObjectLifecycle({
                       <div className="text-md mr-2 w-1/3">
                         <div className="flex flex-col items-end justify-start">
                           <p className="mb-1.5 text-sm text-primary-variant">
-                            Ratio
+                            {t(
+                              "objectLifecycle.lifecycleItemDesc.header.ratio",
+                            )}
                           </p>
                           {Array.isArray(item.data.box) &&
                           item.data.box.length >= 4
@@ -487,15 +648,30 @@ export default function ObjectLifecycle({
                       <div className="text-md mr-2 w-1/3">
                         <div className="flex flex-col items-end justify-start">
                           <p className="mb-1.5 text-sm text-primary-variant">
-                            Area
+                            {t("objectLifecycle.lifecycleItemDesc.header.area")}
                           </p>
                           {Array.isArray(item.data.box) &&
-                          item.data.box.length >= 4
-                            ? Math.round(
-                                detectArea *
-                                  (item.data.box[2] * item.data.box[3]),
-                              )
-                            : "N/A"}
+                          item.data.box.length >= 4 ? (
+                            <>
+                              <div className="flex flex-col text-xs">
+                                px:{" "}
+                                {Math.round(
+                                  detectArea *
+                                    (item.data.box[2] * item.data.box[3]),
+                                )}
+                              </div>
+                              <div className="flex flex-col text-xs">
+                                %:{" "}
+                                {(
+                                  (detectArea *
+                                    (item.data.box[2] * item.data.box[3])) /
+                                  detectArea
+                                ).toFixed(4)}
+                              </div>
+                            </>
+                          ) : (
+                            "N/A"
+                          )}
                         </div>
                       </div>
                     </div>
@@ -549,7 +725,7 @@ export default function ObjectLifecycle({
                           />
                         </TooltipTrigger>
                         <TooltipPortal>
-                          <TooltipContent className="capitalize">
+                          <TooltipContent className="smart-capitalize">
                             {getLifecycleItemDescription(item)}
                           </TooltipContent>
                         </TooltipPortal>
@@ -589,7 +765,7 @@ export function LifecycleIcon({
     case "gone":
       return <IoMdExit className={cn(className)} />;
     case "active":
-      return <LuPlayCircle className={cn(className)} />;
+      return <IoPlayCircleOutline className={cn(className)} />;
     case "stationary":
       return <LuCircle className={cn(className)} />;
     case "entered_zone":
@@ -611,47 +787,3 @@ export function LifecycleIcon({
       return null;
   }
 }
-
-function getLifecycleItemDescription(lifecycleItem: ObjectLifecycleSequence) {
-  const label = (
-    (Array.isArray(lifecycleItem.data.sub_label)
-      ? lifecycleItem.data.sub_label[0]
-      : lifecycleItem.data.sub_label) || lifecycleItem.data.label
-  ).replaceAll("_", " ");
-
-  switch (lifecycleItem.class_type) {
-    case "visible":
-      return `${label} detected`;
-    case "entered_zone":
-      return `${label} entered ${lifecycleItem.data.zones
-        .join(" and ")
-        .replaceAll("_", " ")}`;
-    case "active":
-      return `${label} became active`;
-    case "stationary":
-      return `${label} became stationary`;
-    case "attribute": {
-      let title = "";
-      if (
-        lifecycleItem.data.attribute == "face" ||
-        lifecycleItem.data.attribute == "license_plate"
-      ) {
-        title = `${lifecycleItem.data.attribute.replaceAll(
-          "_",
-          " ",
-        )} detected for ${label}`;
-      } else {
-        title = `${
-          lifecycleItem.data.label
-        } recognized as ${lifecycleItem.data.attribute.replaceAll("_", " ")}`;
-      }
-      return title;
-    }
-    case "gone":
-      return `${label} left`;
-    case "heard":
-      return `${label} heard`;
-    case "external":
-      return `${label} detected`;
-  }
-}
diff --git a/web/src/components/overlay/detail/ObjectPath.tsx b/web/src/components/overlay/detail/ObjectPath.tsx
new file mode 100644
index 000000000..0101a71f1
--- /dev/null
+++ b/web/src/components/overlay/detail/ObjectPath.tsx
@@ -0,0 +1,115 @@
+import { useCallback } from "react";
+import { LifecycleClassType, Position } from "@/types/timeline";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
+import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
+import { useTranslation } from "react-i18next";
+
+type ObjectPathProps = {
+  positions?: Position[];
+  color?: number[];
+  width?: number;
+  pointRadius?: number;
+  imgRef: React.RefObject<HTMLImageElement>;
+  onPointClick?: (index: number) => void;
+  visible?: boolean;
+};
+
+const typeColorMap: Partial<
+  Record<LifecycleClassType, [number, number, number]>
+> = {
+  [LifecycleClassType.VISIBLE]: [0, 255, 0], // Green
+  [LifecycleClassType.GONE]: [255, 0, 0], // Red
+  [LifecycleClassType.ENTERED_ZONE]: [255, 165, 0], // Orange
+  [LifecycleClassType.ATTRIBUTE]: [128, 0, 128], // Purple
+  [LifecycleClassType.ACTIVE]: [255, 255, 0], // Yellow
+  [LifecycleClassType.STATIONARY]: [128, 128, 128], // Gray
+  [LifecycleClassType.HEARD]: [0, 255, 255], // Cyan
+  [LifecycleClassType.EXTERNAL]: [165, 42, 42], // Brown
+};
+
+export function ObjectPath({
+  positions,
+  color = [0, 0, 255],
+  width = 2,
+  pointRadius = 4,
+  imgRef,
+  onPointClick,
+  visible = true,
+}: ObjectPathProps) {
+  const { t } = useTranslation(["views/explore"]);
+  const getAbsolutePositions = useCallback(() => {
+    if (!imgRef.current || !positions) return [];
+    const imgRect = imgRef.current.getBoundingClientRect();
+    return positions.map((pos) => ({
+      x: pos.x * imgRect.width,
+      y: pos.y * imgRect.height,
+      timestamp: pos.timestamp,
+      lifecycle_item: pos.lifecycle_item,
+    }));
+  }, [positions, imgRef]);
+
+  const generateStraightPath = useCallback((points: Position[]) => {
+    if (!points || points.length < 2) return "";
+    let path = `M ${points[0].x} ${points[0].y}`;
+    for (let i = 1; i < points.length; i++) {
+      path += ` L ${points[i].x} ${points[i].y}`;
+    }
+    return path;
+  }, []);
+
+  const getPointColor = (baseColor: number[], type?: LifecycleClassType) => {
+    if (type) {
+      const typeColor = typeColorMap[type];
+      if (typeColor) {
+        return `rgb(${typeColor.join(",")})`;
+      }
+    }
+    // normal path point
+    return `rgb(${baseColor.map((c) => Math.max(0, c - 10)).join(",")})`;
+  };
+
+  if (!imgRef.current || !visible) return null;
+  const absolutePositions = getAbsolutePositions();
+  const lineColor = `rgb(${color.join(",")})`;
+
+  return (
+    <g>
+      <path
+        d={generateStraightPath(absolutePositions)}
+        fill="none"
+        stroke={lineColor}
+        strokeWidth={width}
+        strokeLinecap="round"
+        strokeLinejoin="round"
+      />
+      {absolutePositions.map((pos, index) => (
+        <Tooltip key={`point-${index}`}>
+          <TooltipTrigger asChild>
+            <circle
+              cx={pos.x}
+              cy={pos.y}
+              r={pointRadius}
+              fill={getPointColor(color, pos.lifecycle_item?.class_type)}
+              stroke="white"
+              strokeWidth={width / 2}
+              onClick={() => onPointClick && onPointClick(index)}
+              style={{ cursor: "pointer" }}
+            />
+          </TooltipTrigger>
+          <TooltipPortal>
+            <TooltipContent side="top" className="smart-capitalize">
+              {pos.lifecycle_item
+                ? getLifecycleItemDescription(pos.lifecycle_item)
+                : t("objectLifecycle.trackedPoint")}
+            </TooltipContent>
+          </TooltipPortal>
+        </Tooltip>
+      ))}
+    </g>
+  );
+}
diff --git a/web/src/components/overlay/detail/ObjectPathPlotter.tsx b/web/src/components/overlay/detail/ObjectPathPlotter.tsx
new file mode 100644
index 000000000..1fcf02d1d
--- /dev/null
+++ b/web/src/components/overlay/detail/ObjectPathPlotter.tsx
@@ -0,0 +1,283 @@
+import { useState, useEffect, useMemo, useRef } from "react";
+import useSWR from "swr";
+import { useApiHost } from "@/api";
+import type { SearchResult } from "@/types/search";
+import { ObjectPath } from "./ObjectPath";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { Card, CardContent } from "@/components/ui/card";
+import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import { useTimezone } from "@/hooks/use-date-utils";
+import { Button } from "@/components/ui/button";
+import { LuX } from "react-icons/lu";
+import {
+  Pagination,
+  PaginationContent,
+  PaginationItem,
+  PaginationLink,
+  PaginationNext,
+  PaginationPrevious,
+} from "@/components/ui/pagination";
+
+export default function ObjectPathPlotter() {
+  const apiHost = useApiHost();
+  const [timeRange, setTimeRange] = useState("1d");
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const imgRef = useRef<HTMLImageElement>(null);
+  const timezone = useTimezone(config);
+  const [selectedCamera, setSelectedCamera] = useState<string>("");
+  const [selectedEvent, setSelectedEvent] = useState<SearchResult | null>(null);
+  const [currentPage, setCurrentPage] = useState(1);
+  const eventsPerPage = 20;
+
+  useEffect(() => {
+    if (config && !selectedCamera) {
+      setSelectedCamera(Object.keys(config.cameras)[0]);
+    }
+  }, [config, selectedCamera]);
+
+  const searchQuery = useMemo(() => {
+    if (!selectedCamera) return null;
+    return [
+      "events",
+      {
+        cameras: selectedCamera,
+        after: Math.floor(Date.now() / 1000) - getTimeRangeInSeconds(timeRange),
+        before: Math.floor(Date.now() / 1000),
+        has_clip: 1,
+        include_thumbnails: 0,
+        limit: 1000,
+        timezone,
+      },
+    ];
+  }, [selectedCamera, timeRange, timezone]);
+
+  const { data: events } = useSWR<SearchResult[]>(searchQuery);
+
+  const aspectRatio = useMemo(() => {
+    if (!config || !selectedCamera) return 16 / 9;
+    return (
+      config.cameras[selectedCamera].detect.width /
+      config.cameras[selectedCamera].detect.height
+    );
+  }, [config, selectedCamera]);
+
+  const pathPoints = useMemo(() => {
+    if (!events) return [];
+    return events.flatMap(
+      (event) =>
+        event.data.path_data?.map(
+          ([coords, timestamp]: [number[], number]) => ({
+            x: coords[0],
+            y: coords[1],
+            timestamp,
+            event,
+          }),
+        ) || [],
+    );
+  }, [events]);
+
+  const getRandomColor = () => {
+    return [
+      Math.floor(Math.random() * 256),
+      Math.floor(Math.random() * 256),
+      Math.floor(Math.random() * 256),
+    ];
+  };
+
+  const eventColors = useMemo(() => {
+    if (!events) return {};
+    return events.reduce(
+      (acc, event) => {
+        acc[event.id] = getRandomColor();
+        return acc;
+      },
+      {} as Record<string, number[]>,
+    );
+  }, [events]);
+
+  const [imageLoaded, setImageLoaded] = useState(false);
+
+  useEffect(() => {
+    if (!selectedCamera) return;
+    const img = new Image();
+    img.src = selectedEvent
+      ? `${apiHost}api/${selectedCamera}/recordings/${selectedEvent.start_time}/snapshot.jpg`
+      : `${apiHost}api/${selectedCamera}/latest.jpg?h=500`;
+    img.onload = () => {
+      if (imgRef.current) {
+        imgRef.current.src = img.src;
+        setImageLoaded(true);
+      }
+    };
+  }, [apiHost, selectedCamera, selectedEvent]);
+
+  const handleEventClick = (event: SearchResult) => {
+    setSelectedEvent(event.id === selectedEvent?.id ? null : event);
+  };
+
+  const clearSelectedEvent = () => {
+    setSelectedEvent(null);
+  };
+
+  const totalPages = Math.ceil((events?.length || 0) / eventsPerPage);
+  const paginatedEvents = events?.slice(
+    (currentPage - 1) * eventsPerPage,
+    currentPage * eventsPerPage,
+  );
+
+  return (
+    <Card className="p-4">
+      <CardContent>
+        <div className="mb-4 flex items-center justify-between">
+          <h2 className="text-2xl font-bold">Tracked Object Paths</h2>
+          <div className="flex space-x-2">
+            <Select value={selectedCamera} onValueChange={setSelectedCamera}>
+              <SelectTrigger className="w-[180px]">
+                <SelectValue placeholder="Select camera" />
+              </SelectTrigger>
+              <SelectContent>
+                {config &&
+                  Object.keys(config.cameras).map((cameraName) => (
+                    <SelectItem key={cameraName} value={cameraName}>
+                      {cameraName}
+                    </SelectItem>
+                  ))}
+              </SelectContent>
+            </Select>
+            <Select value={timeRange} onValueChange={setTimeRange}>
+              <SelectTrigger className="w-[180px]">
+                <SelectValue placeholder="Select time range" />
+              </SelectTrigger>
+              <SelectContent>
+                <SelectItem value="1h">Last 1 hour</SelectItem>
+                <SelectItem value="6h">Last 6 hours</SelectItem>
+                <SelectItem value="12h">Last 12 hours</SelectItem>
+                <SelectItem value="1d">Last 24 hours</SelectItem>
+              </SelectContent>
+            </Select>
+          </div>
+        </div>
+        <div className="relative" style={{ aspectRatio }}>
+          <img
+            ref={imgRef}
+            src="/placeholder.svg"
+            alt={`Latest from ${selectedCamera}`}
+            className="h-auto w-full"
+          />
+          {imgRef.current && imageLoaded && (
+            <svg
+              viewBox={`0 0 ${imgRef.current.width} ${imgRef.current.height}`}
+              className="absolute inset-0"
+            >
+              {events?.map((event) => (
+                <ObjectPath
+                  key={event.id}
+                  positions={pathPoints.filter(
+                    (point) => point.event.id === event.id,
+                  )}
+                  color={eventColors[event.id]}
+                  width={2}
+                  imgRef={imgRef}
+                  visible={
+                    selectedEvent === null || selectedEvent.id === event.id
+                  }
+                />
+              ))}
+            </svg>
+          )}
+        </div>
+        <div className="mt-4">
+          <div className="mb-2 flex items-center justify-between">
+            <h3 className="text-xl font-semibold">Legend</h3>
+            {selectedEvent && (
+              <Button
+                variant="outline"
+                size="sm"
+                onClick={clearSelectedEvent}
+                className="flex items-center"
+              >
+                <LuX className="mr-1" /> Clear Selection
+              </Button>
+            )}
+          </div>
+          <div className="mb-4 grid grid-cols-2 gap-1">
+            {paginatedEvents?.map((event) => (
+              <div
+                key={event.id}
+                className={`flex cursor-pointer items-center rounded p-1 ${
+                  selectedEvent?.id === event.id ? "bg-secondary" : ""
+                }`}
+                onClick={() => handleEventClick(event)}
+              >
+                <div
+                  className="mr-2 h-4 w-4 flex-shrink-0"
+                  style={{
+                    backgroundColor: `rgb(${eventColors[event.id].join(",")})`,
+                  }}
+                />
+                <span className="text-sm">
+                  <strong className="mr-1 smart-capitalize">
+                    {event.label}
+                  </strong>
+                  {formatUnixTimestampToDateTime(event.start_time, {
+                    timezone: config?.ui.timezone,
+                  })}
+                </span>
+              </div>
+            ))}
+          </div>
+          <Pagination>
+            <PaginationContent className="cursor-pointer">
+              <PaginationItem>
+                <PaginationPrevious
+                  onClick={() =>
+                    setCurrentPage((prev) => Math.max(prev - 1, 1))
+                  }
+                />
+              </PaginationItem>
+              {[...Array(totalPages)].map((_, index) => (
+                <PaginationItem key={index}>
+                  <PaginationLink
+                    onClick={() => setCurrentPage(index + 1)}
+                    isActive={currentPage === index + 1}
+                  >
+                    {index + 1}
+                  </PaginationLink>
+                </PaginationItem>
+              ))}
+              <PaginationItem>
+                <PaginationNext
+                  onClick={() =>
+                    setCurrentPage((prev) => Math.min(prev + 1, totalPages))
+                  }
+                />
+              </PaginationItem>
+            </PaginationContent>
+          </Pagination>
+        </div>
+      </CardContent>
+    </Card>
+  );
+}
+
+function getTimeRangeInSeconds(range: string): number {
+  switch (range) {
+    case "1h":
+      return 60 * 60;
+    case "6h":
+      return 6 * 60 * 60;
+    case "12h":
+      return 12 * 60 * 60;
+    case "1d":
+      return 24 * 60 * 60;
+    default:
+      return 24 * 60 * 60;
+  }
+}
diff --git a/web/src/components/overlay/detail/ReviewDetailDialog.tsx b/web/src/components/overlay/detail/ReviewDetailDialog.tsx
index 8d2f13d89..cb976d8e0 100644
--- a/web/src/components/overlay/detail/ReviewDetailDialog.tsx
+++ b/web/src/components/overlay/detail/ReviewDetailDialog.tsx
@@ -37,10 +37,12 @@ import {
   MobilePageHeader,
   MobilePageTitle,
 } from "@/components/mobile/MobilePage";
-import { useOverlayState } from "@/hooks/use-overlay-state";
 import { DownloadVideoButton } from "@/components/button/DownloadVideoButton";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { LuSearch } from "react-icons/lu";
+import useKeyboardListener from "@/hooks/use-keyboard-listener";
+import { Trans, useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type ReviewDetailDialogProps = {
   review?: ReviewSegment;
@@ -50,6 +52,7 @@ export default function ReviewDetailDialog({
   review,
   setReview,
 }: ReviewDetailDialogProps) {
+  const { t } = useTranslation(["views/explore"]);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -94,8 +97,12 @@ export default function ReviewDetailDialog({
   const formattedDate = useFormattedTimestamp(
     review?.start_time ?? 0,
     config?.ui.time_format == "24hour"
-      ? "%b %-d %Y, %H:%M"
-      : "%b %-d %Y, %I:%M %p",
+      ? t("time.formattedTimestampMonthDayYearHourMinute.24hour", {
+          ns: "common",
+        })
+      : t("time.formattedTimestampMonthDayYearHourMinute.12hour", {
+          ns: "common",
+        }),
     config?.ui.timezone,
   );
 
@@ -106,10 +113,7 @@ export default function ReviewDetailDialog({
 
   // dialog and mobile page
 
-  const [isOpen, setIsOpen] = useOverlayState(
-    "reviewPane",
-    review != undefined,
-  );
+  const [isOpen, setIsOpen] = useState(review != undefined);
 
   const handleOpenChange = useCallback(
     (open: boolean) => {
@@ -133,6 +137,14 @@ export default function ReviewDetailDialog({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [review]);
 
+  // keyboard listener
+
+  useKeyboardListener(["Esc"], (key, modifiers) => {
+    if (key == "Esc" && modifiers.down && !modifiers.repeat) {
+      setIsOpen(false);
+    }
+  });
+
   const Overlay = isDesktop ? Sheet : MobilePage;
   const Content = isDesktop ? SheetContent : MobilePageContent;
   const Header = isDesktop ? SheetHeader : MobilePageHeader;
@@ -145,7 +157,11 @@ export default function ReviewDetailDialog({
 
   return (
     <>
-      <Overlay open={isOpen ?? false} onOpenChange={handleOpenChange}>
+      <Overlay
+        open={isOpen ?? false}
+        onOpenChange={handleOpenChange}
+        enableHistoryBack={true}
+      >
         <FrigatePlusDialog
           upload={upload}
           onClose={() => setUpload(undefined)}
@@ -168,8 +184,10 @@ export default function ReviewDetailDialog({
           <span tabIndex={0} className="sr-only" />
           {pane == "overview" && (
             <Header className="justify-center">
-              <Title>Review Item Details</Title>
-              <Description className="sr-only">Review item details</Description>
+              <Title>{t("details.item.title")}</Title>
+              <Description className="sr-only">
+                {t("details.item.desc")}
+              </Description>
               <div
                 className={cn(
                   "absolute flex gap-2 lg:flex-col",
@@ -180,7 +198,7 @@ export default function ReviewDetailDialog({
                 <Tooltip>
                   <TooltipTrigger asChild>
                     <Button
-                      aria-label="Share this review item"
+                      aria-label={t("details.item.button.share")}
                       size="sm"
                       onClick={() =>
                         shareOrCopy(`${baseUrl}review?id=${review.id}`)
@@ -190,7 +208,9 @@ export default function ReviewDetailDialog({
                     </Button>
                   </TooltipTrigger>
                   <TooltipPortal>
-                    <TooltipContent>Share this review item</TooltipContent>
+                    <TooltipContent>
+                      {t("details.item.button.share")}
+                    </TooltipContent>
                   </TooltipPortal>
                 </Tooltip>
                 <Tooltip>
@@ -202,7 +222,9 @@ export default function ReviewDetailDialog({
                     />
                   </TooltipTrigger>
                   <TooltipPortal>
-                    <TooltipContent>Download</TooltipContent>
+                    <TooltipContent>
+                      {t("button.download", { ns: "common" })}
+                    </TooltipContent>
                   </TooltipPortal>
                 </Tooltip>
               </div>
@@ -213,32 +235,39 @@ export default function ReviewDetailDialog({
               <div className="flex w-full flex-row">
                 <div className="flex w-full flex-col gap-3">
                   <div className="flex flex-col gap-1.5">
-                    <div className="text-sm text-primary/40">Camera</div>
-                    <div className="text-sm capitalize">
+                    <div className="text-sm text-primary/40">
+                      {t("details.camera")}
+                    </div>
+                    <div className="text-sm smart-capitalize">
                       {review.camera.replaceAll("_", " ")}
                     </div>
                   </div>
                   <div className="flex flex-col gap-1.5">
-                    <div className="text-sm text-primary/40">Timestamp</div>
+                    <div className="text-sm text-primary/40">
+                      {t("details.timestamp")}
+                    </div>
                     <div className="text-sm">{formattedDate}</div>
                   </div>
                 </div>
                 <div className="flex w-full flex-col items-center gap-2">
                   <div className="flex w-full flex-col gap-1.5 lg:pr-8">
-                    <div className="text-sm text-primary/40">Objects</div>
-                    <div className="scrollbar-container flex max-h-32 flex-col items-start gap-2 overflow-y-auto text-sm capitalize">
+                    <div className="text-sm text-primary/40">
+                      {t("details.objects")}
+                    </div>
+                    <div className="scrollbar-container flex max-h-32 flex-col items-start gap-2 overflow-y-auto text-sm smart-capitalize">
                       {events?.map((event) => {
                         return (
                           <div
                             key={event.id}
-                            className="flex flex-row items-center gap-2 capitalize"
+                            className="flex flex-row items-center gap-2 smart-capitalize"
                           >
                             {getIconForLabel(
                               event.label,
                               "size-3 text-primary",
                             )}
-                            {event.sub_label ?? event.label} (
-                            {Math.round(event.data.top_score * 100)}%)
+                            {event.sub_label ??
+                              event.label.replaceAll("_", " ")}{" "}
+                            ({Math.round(event.data.top_score * 100)}%)
                             <Tooltip>
                               <TooltipTrigger>
                                 <div
@@ -251,7 +280,9 @@ export default function ReviewDetailDialog({
                                 </div>
                               </TooltipTrigger>
                               <TooltipPortal>
-                                <TooltipContent>View in Explore</TooltipContent>
+                                <TooltipContent>
+                                  {t("details.item.button.viewInExplore")}
+                                </TooltipContent>
                               </TooltipPortal>
                             </Tooltip>
                           </div>
@@ -261,13 +292,15 @@ export default function ReviewDetailDialog({
                   </div>
                   {review.data.zones.length > 0 && (
                     <div className="scrollbar-container flex max-h-32 w-full flex-col gap-1.5">
-                      <div className="text-sm text-primary/40">Zones</div>
-                      <div className="flex flex-col items-start gap-2 text-sm capitalize">
+                      <div className="text-sm text-primary/40">
+                        {t("details.zones")}
+                      </div>
+                      <div className="flex flex-col items-start gap-2 text-sm smart-capitalize">
                         {review.data.zones.map((zone) => {
                           return (
                             <div
                               key={zone}
-                              className="flex flex-row items-center gap-2 capitalize"
+                              className="flex flex-row items-center gap-2 smart-capitalize"
                             >
                               {zone.replaceAll("_", " ")}
                             </div>
@@ -285,18 +318,23 @@ export default function ReviewDetailDialog({
                       (events?.length ?? 0) -
                         (review?.data.detections.length ?? 0),
                     );
-                    const objectLabel =
-                      detectedCount === 1 ? "object was" : "objects were";
 
-                    return `${detectedCount} unavailable ${objectLabel} detected and included in this review item.`;
-                  })()}{" "}
-                  Those objects either did not qualify as an alert or detection
-                  or have already been cleaned up/deleted.
+                    return t("details.item.tips.mismatch", {
+                      count: detectedCount,
+                    });
+                  })()}
                   {missingObjects.length > 0 && (
                     <div className="mt-2">
-                      Adjust your configuration if you want Frigate to save
-                      tracked objects for the following labels:{" "}
-                      {missingObjects.join(", ")}
+                      <Trans
+                        ns="views/explore"
+                        values={{
+                          objects: missingObjects
+                            .map((x) => getTranslatedLabel(x))
+                            .join(", "),
+                        }}
+                      >
+                        details.item.tips.hasMissingObjects
+                      </Trans>
                     </div>
                   )}
                 </div>
@@ -339,6 +377,8 @@ function EventItem({
   setSelectedEvent,
   setUpload,
 }: EventItemProps) {
+  const { t } = useTranslation(["views/explore"]);
+
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -385,7 +425,7 @@ function EventItem({
           src={
             event.has_snapshot
               ? `${apiHost}api/events/${event.id}/snapshot.jpg`
-              : `${apiHost}api/events/${event.id}/thumbnail.jpg`
+              : `${apiHost}api/events/${event.id}/thumbnail.webp`
           }
         />
         {hovered && (
@@ -400,7 +440,7 @@ function EventItem({
                     href={
                       event.has_snapshot
                         ? `${apiHost}api/events/${event.id}/snapshot.jpg`
-                        : `${apiHost}api/events/${event.id}/thumbnail.jpg`
+                        : `${apiHost}api/events/${event.id}/thumbnail.webp`
                     }
                   >
                     <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
@@ -408,7 +448,9 @@ function EventItem({
                     </Chip>
                   </a>
                 </TooltipTrigger>
-                <TooltipContent>Download</TooltipContent>
+                <TooltipContent>
+                  {t("button.download", { ns: "common" })}
+                </TooltipContent>
               </Tooltip>
 
               {event.has_snapshot &&
@@ -426,7 +468,9 @@ function EventItem({
                         <FrigatePlusIcon className="size-4 text-white" />
                       </Chip>
                     </TooltipTrigger>
-                    <TooltipContent>Submit to Frigate+</TooltipContent>
+                    <TooltipContent>
+                      {t("itemMenu.submitToPlus.label")}
+                    </TooltipContent>
                   </Tooltip>
                 )}
 
@@ -443,7 +487,9 @@ function EventItem({
                       <FaArrowsRotate className="size-4 text-white" />
                     </Chip>
                   </TooltipTrigger>
-                  <TooltipContent>View Object Lifecycle</TooltipContent>
+                  <TooltipContent>
+                    {t("itemMenu.viewObjectLifecycle.label")}
+                  </TooltipContent>
                 </Tooltip>
               )}
 
@@ -461,7 +507,9 @@ function EventItem({
                       <FaImages className="size-4 text-white" />
                     </Chip>
                   </TooltipTrigger>
-                  <TooltipContent>Find Similar</TooltipContent>
+                  <TooltipContent>
+                    {t("itemMenu.findSimilar.label")}
+                  </TooltipContent>
                 </Tooltip>
               )}
             </div>
diff --git a/web/src/components/overlay/detail/SearchDetailDialog.tsx b/web/src/components/overlay/detail/SearchDetailDialog.tsx
index 45aabb07c..acde73954 100644
--- a/web/src/components/overlay/detail/SearchDetailDialog.tsx
+++ b/web/src/components/overlay/detail/SearchDetailDialog.tsx
@@ -25,6 +25,7 @@ import { baseUrl } from "@/api/baseUrl";
 import { cn } from "@/lib/utils";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import {
+  FaArrowRight,
   FaCheckCircle,
   FaChevronDown,
   FaDownload,
@@ -47,7 +48,7 @@ import {
   TooltipContent,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { ReviewSegment } from "@/types/review";
+import { REVIEW_PADDING, ReviewSegment } from "@/types/review";
 import { useNavigate } from "react-router-dom";
 import Chip from "@/components/indicators/Chip";
 import { capitalizeAll } from "@/utils/stringUtil";
@@ -68,14 +69,21 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from "@/components/ui/popover";
-import { LuInfo } from "react-icons/lu";
+import { LuInfo, LuSearch } from "react-icons/lu";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
+import { FaPencilAlt } from "react-icons/fa";
+import TextEntryDialog from "@/components/overlay/dialog/TextEntryDialog";
+import { Trans, useTranslation } from "react-i18next";
+import { TbFaceId } from "react-icons/tb";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import FaceSelectionDialog from "../FaceSelectionDialog";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 const SEARCH_TABS = [
   "details",
   "snapshot",
   "video",
-  "object lifecycle",
+  "object_lifecycle",
 ] as const;
 export type SearchTab = (typeof SEARCH_TABS)[number];
 
@@ -95,6 +103,7 @@ export default function SearchDetailDialog({
   setSimilarity,
   setInputFocused,
 }: SearchDetailDialogProps) {
+  const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -149,7 +158,7 @@ export default function SearchDetailDialog({
     }
 
     if (search.data.type != "object" || !search.has_clip) {
-      const index = views.indexOf("object lifecycle");
+      const index = views.indexOf("object_lifecycle");
       views.splice(index, 1);
     }
 
@@ -179,7 +188,11 @@ export default function SearchDetailDialog({
   const Description = isDesktop ? DialogDescription : MobilePageDescription;
 
   return (
-    <Overlay open={isOpen} onOpenChange={handleOpenChange}>
+    <Overlay
+      open={isOpen}
+      onOpenChange={handleOpenChange}
+      enableHistoryBack={true}
+    >
       <Content
         className={cn(
           "scrollbar-container overflow-y-auto",
@@ -189,8 +202,10 @@ export default function SearchDetailDialog({
         )}
       >
         <Header>
-          <Title>Tracked Object Details</Title>
-          <Description className="sr-only">Tracked object details</Description>
+          <Title>{t("trackedObjectDetails")}</Title>
+          <Description className="sr-only">
+            {t("trackedObjectDetails")}
+          </Description>
         </Header>
         <ScrollArea
           className={cn("w-full whitespace-nowrap", isMobile && "my-2")}
@@ -218,10 +233,10 @@ export default function SearchDetailDialog({
                   {item == "details" && <FaRegListAlt className="size-4" />}
                   {item == "snapshot" && <FaImage className="size-4" />}
                   {item == "video" && <FaVideo className="size-4" />}
-                  {item == "object lifecycle" && (
+                  {item == "object_lifecycle" && (
                     <FaRotate className="size-4" />
                   )}
-                  <div className="capitalize">{item}</div>
+                  <div className="smart-capitalize">{t(`type.${item}`)}</div>
                 </ToggleGroupItem>
               ))}
             </ToggleGroup>
@@ -251,7 +266,7 @@ export default function SearchDetailDialog({
           />
         )}
         {page == "video" && <VideoTab search={search} />}
-        {page == "object lifecycle" && (
+        {page == "object_lifecycle" && (
           <ObjectLifecycle
             className="w-full overflow-x-hidden"
             event={search as unknown as Event}
@@ -278,15 +293,23 @@ function ObjectDetailsTab({
   setSimilarity,
   setInputFocused,
 }: ObjectDetailsTabProps) {
+  const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
+
   const apiHost = useApiHost();
 
   // mutation / revalidation
 
   const mutate = useGlobalMutation();
 
+  // users
+
+  const isAdmin = useIsAdmin();
+
   // data
 
   const [desc, setDesc] = useState(search?.data.description);
+  const [isSubLabelDialogOpen, setIsSubLabelDialogOpen] = useState(false);
+  const [isLPRDialogOpen, setIsLPRDialogOpen] = useState(false);
 
   const handleDescriptionFocus = useCallback(() => {
     setInputFocused(true);
@@ -302,12 +325,16 @@ function ObjectDetailsTab({
   const formattedDate = useFormattedTimestamp(
     search?.start_time ?? 0,
     config?.ui.time_format == "24hour"
-      ? "%b %-d %Y, %H:%M"
-      : "%b %-d %Y, %I:%M %p",
+      ? t("time.formattedTimestampMonthDayYearHourMinute.24hour", {
+          ns: "common",
+        })
+      : t("time.formattedTimestampMonthDayYearHourMinute.12hour", {
+          ns: "common",
+        }),
     config?.ui.timezone,
   );
 
-  const score = useMemo(() => {
+  const topScore = useMemo(() => {
     if (!search) {
       return 0;
     }
@@ -329,6 +356,57 @@ function ObjectDetailsTab({
     }
   }, [search]);
 
+  const recognizedLicensePlateScore = useMemo(() => {
+    if (!search) {
+      return undefined;
+    }
+
+    if (
+      search.data.recognized_license_plate &&
+      search.data?.recognized_license_plate_score
+    ) {
+      return Math.round(
+        (search.data?.recognized_license_plate_score ?? 0) * 100,
+      );
+    } else {
+      return undefined;
+    }
+  }, [search]);
+
+  const snapScore = useMemo(() => {
+    if (!search?.has_snapshot) {
+      return undefined;
+    }
+
+    const value = search.data.score ?? search.score ?? 0;
+
+    return Math.floor(value * 100);
+  }, [search]);
+
+  const averageEstimatedSpeed = useMemo(() => {
+    if (!search || !search.data?.average_estimated_speed) {
+      return undefined;
+    }
+
+    if (search.data?.average_estimated_speed != 0) {
+      return search.data?.average_estimated_speed.toFixed(1);
+    } else {
+      return undefined;
+    }
+  }, [search]);
+
+  const velocityAngle = useMemo(() => {
+    if (!search || !search.data?.velocity_angle) {
+      return undefined;
+    }
+
+    if (search.data?.velocity_angle != 0) {
+      return search.data?.velocity_angle.toFixed(1);
+    } else {
+      return undefined;
+    }
+  }, [search]);
+
   const updateDescription = useCallback(() => {
     if (!search) {
       return;
@@ -338,7 +416,7 @@ function ObjectDetailsTab({
       .post(`events/${search.id}/description`, { description: desc })
       .then((resp) => {
         if (resp.status == 200) {
-          toast.success("Successfully saved description", {
+          toast.success(t("details.tips.descriptionSaved"), {
             position: "top-center",
           });
         }
@@ -366,13 +444,22 @@ function ObjectDetailsTab({
           },
         );
       })
-      .catch(() => {
-        toast.error("Failed to update the description", {
-          position: "top-center",
-        });
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("details.tips.saveDescriptionFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
         setDesc(search.data.description);
       });
-  }, [desc, search, mutate]);
+  }, [desc, search, mutate, t]);
 
   const regenerateDescription = useCallback(
     (source: "snapshot" | "thumbnails") => {
@@ -385,7 +472,12 @@ function ObjectDetailsTab({
         .then((resp) => {
           if (resp.status == 200) {
             toast.success(
-              `A new description has been requested from ${capitalizeAll(config?.genai.provider.replaceAll("_", " ") ?? "Generative AI")}. Depending on the speed of your provider, the new description may take some time to regenerate.`,
+              t("details.item.toast.success.regenerate", {
+                provider: capitalizeAll(
+                  config?.genai.provider.replaceAll("_", " ") ??
+                    t("generativeAI"),
+                ),
+              }),
               {
                 position: "top-center",
                 duration: 7000,
@@ -394,15 +486,228 @@ function ObjectDetailsTab({
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to call ${capitalizeAll(config?.genai.provider.replaceAll("_", " ") ?? "Generative AI")} for a new description: ${error.response.data.message}`,
+            t("details.item.toast.error.regenerate", {
+              provider: capitalizeAll(
+                config?.genai.provider.replaceAll("_", " ") ??
+                  t("generativeAI"),
+              ),
+              errorMessage,
+            }),
+            { position: "top-center" },
+          );
+        });
+    },
+    [search, config, t],
+  );
+
+  const handleSubLabelSave = useCallback(
+    (text: string) => {
+      if (!search) return;
+
+      // set score to 1.0 if we're manually entering a sub label
+      const subLabelScore =
+        text === "" ? undefined : search.data?.sub_label_score || 1.0;
+
+      axios
+        .post(`${apiHost}api/events/${search.id}/sub_label`, {
+          camera: search.camera,
+          subLabel: text,
+          subLabelScore: subLabelScore,
+        })
+        .then((response) => {
+          if (response.status === 200) {
+            toast.success(t("details.item.toast.success.updatedSublabel"), {
+              position: "top-center",
+            });
+
+            mutate(
+              (key) =>
+                typeof key === "string" &&
+                (key.includes("events") ||
+                  key.includes("events/search") ||
+                  key.includes("events/explore")),
+              (currentData: SearchResult[][] | SearchResult[] | undefined) => {
+                if (!currentData) return currentData;
+                return currentData.flat().map((event) =>
+                  event.id === search.id
+                    ? {
+                        ...event,
+                        sub_label: text,
+                        data: {
+                          ...event.data,
+                          sub_label_score: subLabelScore,
+                        },
+                      }
+                    : event,
+                );
+              },
+              {
+                optimisticData: true,
+                rollbackOnError: true,
+                revalidate: false,
+              },
+            );
+
+            setSearch({
+              ...search,
+              sub_label: text,
+              data: {
+                ...search.data,
+                sub_label_score: subLabelScore,
+              },
+            });
+            setIsSubLabelDialogOpen(false);
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("details.item.toast.error.updatedSublabelFailed", {
+              errorMessage,
+            }),
             {
               position: "top-center",
             },
           );
         });
     },
-    [search, config],
+    [search, apiHost, mutate, setSearch, t],
+  );
+
+  // recognized plate
+
+  const handleLPRSave = useCallback(
+    (text: string) => {
+      if (!search) return;
+
+      // set score to 1.0 if we're manually entering a new plate
+      const plateScore = text === "" ? undefined : 1.0;
+
+      axios
+        .post(`${apiHost}api/events/${search.id}/recognized_license_plate`, {
+          recognizedLicensePlate: text,
+          recognizedLicensePlateScore: plateScore,
+        })
+        .then((response) => {
+          if (response.status === 200) {
+            toast.success(t("details.item.toast.success.updatedLPR"), {
+              position: "top-center",
+            });
+
+            mutate(
+              (key) =>
+                typeof key === "string" &&
+                (key.includes("events") ||
+                  key.includes("events/search") ||
+                  key.includes("events/explore")),
+              (currentData: SearchResult[][] | SearchResult[] | undefined) => {
+                if (!currentData) return currentData;
+                return currentData.flat().map((event) =>
+                  event.id === search.id
+                    ? {
+                        ...event,
+                        data: {
+                          ...event.data,
+                          recognized_license_plate: text,
+                          recognized_license_plate_score: plateScore,
+                        },
+                      }
+                    : event,
+                );
+              },
+              {
+                optimisticData: true,
+                rollbackOnError: true,
+                revalidate: false,
+              },
+            );
+
+            setSearch({
+              ...search,
+              data: {
+                ...search.data,
+                recognized_license_plate: text,
+                recognized_license_plate_score: plateScore,
+              },
+            });
+            setIsLPRDialogOpen(false);
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("details.item.toast.error.updatedLPRFailed", {
+              errorMessage,
+            }),
+            {
+              position: "top-center",
+            },
+          );
+        });
+    },
+    [search, apiHost, mutate, setSearch, t],
+  );
+
+  // face training
+
+  const hasFace = useMemo(() => {
+    if (!config?.face_recognition.enabled || !search) {
+      return false;
+    }
+
+    return search.data.attributes?.find((attr) => attr.label == "face");
+  }, [config, search]);
+
+  const { data: faceData } = useSWR(hasFace ? "faces" : null);
+
+  const faceNames = useMemo<string[]>(
+    () =>
+      faceData ? Object.keys(faceData).filter((face) => face != "train") : [],
+    [faceData],
+  );
+
+  const onTrainFace = useCallback(
+    (trainName: string) => {
+      axios
+        .post(`/faces/train/${trainName}/classify`, { event_id: search.id })
+        .then((resp) => {
+          if (resp.status == 200) {
+            toast.success(
+              t("toast.success.trainedFace", { ns: "views/faceLibrary" }),
+              {
+                position: "top-center",
+              },
+            );
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("toast.error.trainFailed", {
+              ns: "views/faceLibrary",
+              errorMessage,
+            }),
+            {
+              position: "top-center",
+            },
+          );
+        });
+    },
+    [search, t],
   );
 
   return (
@@ -410,17 +715,69 @@ function ObjectDetailsTab({
       <div className="flex w-full flex-row">
         <div className="flex w-full flex-col gap-3">
           <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">Label</div>
-            <div className="flex flex-row items-center gap-2 text-sm capitalize">
+            <div className="text-sm text-primary/40">{t("details.label")}</div>
+            <div className="flex flex-row items-center gap-2 text-sm smart-capitalize">
               {getIconForLabel(search.label, "size-4 text-primary")}
-              {search.label}
+              {getTranslatedLabel(search.label)}
               {search.sub_label && ` (${search.sub_label})`}
+              {isAdmin && search.end_time && (
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <span>
+                      <FaPencilAlt
+                        className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
+                        onClick={() => {
+                          setIsSubLabelDialogOpen(true);
+                        }}
+                      />
+                    </span>
+                  </TooltipTrigger>
+                  <TooltipPortal>
+                    <TooltipContent>
+                      {t("details.editSubLabel.title")}
+                    </TooltipContent>
+                  </TooltipPortal>
+                </Tooltip>
+              )}
             </div>
           </div>
+          {search?.data.recognized_license_plate && (
+            <div className="flex flex-col gap-1.5">
+              <div className="text-sm text-primary/40">
+                {t("details.recognizedLicensePlate")}
+              </div>
+              <div className="flex flex-col space-y-0.5 text-sm">
+                <div className="flex flex-row items-center gap-2">
+                  {search.data.recognized_license_plate}{" "}
+                  {recognizedLicensePlateScore &&
+                    ` (${recognizedLicensePlateScore}%)`}
+                  {isAdmin && (
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <span>
+                          <FaPencilAlt
+                            className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
+                            onClick={() => {
+                              setIsLPRDialogOpen(true);
+                            }}
+                          />
+                        </span>
+                      </TooltipTrigger>
+                      <TooltipPortal>
+                        <TooltipContent>
+                          {t("details.editLPR.title")}
+                        </TooltipContent>
+                      </TooltipPortal>
+                    </Tooltip>
+                  )}
+                </div>
+              </div>
+            </div>
+          )}
           <div className="flex flex-col gap-1.5">
             <div className="text-sm text-primary/40">
               <div className="flex flex-row items-center gap-1">
-                Top Score
+                {t("details.topScore.label")}
                 <Popover>
                   <PopoverTrigger asChild>
                     <div className="cursor-pointer p-0">
@@ -429,25 +786,62 @@ function ObjectDetailsTab({
                     </div>
                   </PopoverTrigger>
                   <PopoverContent className="w-80">
-                    The top score is the highest median score for the tracked
-                    object, so this may differ from the score shown on the
-                    search result thumbnail.
+                    {t("details.topScore.info")}
                   </PopoverContent>
                 </Popover>
               </div>
             </div>
             <div className="text-sm">
-              {score}%{subLabelScore && ` (${subLabelScore}%)`}
+              {topScore}%{subLabelScore && ` (${subLabelScore}%)`}
             </div>
           </div>
+          {snapScore != undefined && (
+            <div className="flex flex-col gap-1.5">
+              <div className="text-sm text-primary/40">
+                <div className="flex flex-row items-center gap-1">
+                  {t("details.snapshotScore.label")}
+                </div>
+              </div>
+              <div className="text-sm">{snapScore}%</div>
+            </div>
+          )}
+          {averageEstimatedSpeed && (
+            <div className="flex flex-col gap-1.5">
+              <div className="text-sm text-primary/40">
+                {t("details.estimatedSpeed")}
+              </div>
+              <div className="flex flex-col space-y-0.5 text-sm">
+                {averageEstimatedSpeed && (
+                  <div className="flex flex-row items-center gap-2">
+                    {averageEstimatedSpeed}{" "}
+                    {config?.ui.unit_system == "imperial"
+                      ? t("unit.speed.mph", { ns: "common" })
+                      : t("unit.speed.kph", { ns: "common" })}{" "}
+                    {velocityAngle != undefined && (
+                      <span className="text-primary/40">
+                        <FaArrowRight
+                          size={10}
+                          style={{
+                            transform: `rotate(${(360 - Number(velocityAngle)) % 360}deg)`,
+                          }}
+                        />
+                      </span>
+                    )}
+                  </div>
+                )}
+              </div>
+            </div>
+          )}
           <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">Camera</div>
-            <div className="text-sm capitalize">
+            <div className="text-sm text-primary/40">{t("details.camera")}</div>
+            <div className="text-sm smart-capitalize">
               {search.camera.replaceAll("_", " ")}
             </div>
           </div>
           <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">Timestamp</div>
+            <div className="text-sm text-primary/40">
+              {t("details.timestamp")}
+            </div>
             <div className="text-sm">{formattedDate}</div>
           </div>
         </div>
@@ -463,22 +857,43 @@ function ObjectDetailsTab({
                 : undefined
             }
             draggable={false}
-            src={`${apiHost}api/events/${search.id}/thumbnail.jpg`}
+            src={`${apiHost}api/events/${search.id}/thumbnail.webp`}
           />
-          {config?.semantic_search.enabled && search.data.type == "object" && (
-            <Button
-              aria-label="Find similar tracked objects"
-              onClick={() => {
-                setSearch(undefined);
-
-                if (setSimilarity) {
-                  setSimilarity();
-                }
-              }}
-            >
-              Find Similar
-            </Button>
-          )}
+          <div
+            className={cn("flex w-full flex-row gap-2", isMobile && "flex-col")}
+          >
+            {config?.semantic_search.enabled &&
+              setSimilarity != undefined &&
+              search.data.type == "object" && (
+                <Button
+                  className="w-full"
+                  aria-label={t("itemMenu.findSimilar.aria")}
+                  onClick={() => {
+                    setSearch(undefined);
+                    setSimilarity();
+                  }}
+                >
+                  <div className="flex gap-1">
+                    <LuSearch />
+                    {t("itemMenu.findSimilar.label")}
+                  </div>
+                </Button>
+              )}
+            {hasFace && (
+              <FaceSelectionDialog
+                className="w-full"
+                faceNames={faceNames}
+                onTrainAttempt={onTrainFace}
+              >
+                <Button className="w-full">
+                  <div className="flex gap-1">
+                    <TbFaceId />
+                    {t("trainFace", { ns: "views/faceLibrary" })}
+                  </div>
+                </Button>
+              </FaceSelectionDialog>
+            )}
+          </div>
         </div>
       </div>
       <div className="flex flex-col gap-1.5">
@@ -493,23 +908,22 @@ function ObjectDetailsTab({
             search.label,
           )) ? (
           <>
-            <div className="text-sm text-primary/40">Description</div>
+            <div className="text-sm text-primary/40">
+              {t("details.description.label")}
+            </div>
             <div className="flex h-64 flex-col items-center justify-center gap-3 border p-4 text-sm text-primary/40">
               <div className="flex">
                 <ActivityIndicator />
               </div>
-              <div className="flex">
-                Frigate will not request a description from your Generative AI
-                provider until the tracked object's lifecycle has ended.
-              </div>
+              <div className="flex">{t("details.description.aiTips")}</div>
             </div>
           </>
         ) : (
           <>
-            <div className="text-sm text-primary/40">Description</div>
+            <div className="text-sm text-primary/40"></div>
             <Textarea
-              className="h-64"
-              placeholder="Description of the tracked object"
+              className="text-md h-64"
+              placeholder={t("details.description.placeholder")}
               value={desc}
               onChange={(e) => setDesc(e.target.value)}
               onFocus={handleDescriptionFocus}
@@ -523,17 +937,17 @@ function ObjectDetailsTab({
             <div className="flex items-start">
               <Button
                 className="rounded-r-none border-r-0"
-                aria-label="Regenerate tracked object description"
+                aria-label={t("details.button.regenerate.label")}
                 onClick={() => regenerateDescription("thumbnails")}
               >
-                Regenerate
+                {t("details.button.regenerate.title")}
               </Button>
               {search.has_snapshot && (
                 <DropdownMenu>
                   <DropdownMenuTrigger asChild>
                     <Button
                       className="rounded-l-none border-l-0 px-2"
-                      aria-label="Expand regeneration menu"
+                      aria-label={t("details.expandRegenerationMenu")}
                     >
                       <FaChevronDown className="size-3" />
                     </Button>
@@ -541,17 +955,17 @@ function ObjectDetailsTab({
                   <DropdownMenuContent>
                     <DropdownMenuItem
                       className="cursor-pointer"
-                      aria-label="Regenerate from snapshot"
+                      aria-label={t("details.regenerateFromSnapshot")}
                       onClick={() => regenerateDescription("snapshot")}
                     >
-                      Regenerate from Snapshot
+                      {t("details.regenerateFromSnapshot")}
                     </DropdownMenuItem>
                     <DropdownMenuItem
                       className="cursor-pointer"
-                      aria-label="Regenerate from thumbnails"
+                      aria-label={t("details.regenerateFromThumbnails")}
                       onClick={() => regenerateDescription("thumbnails")}
                     >
-                      Regenerate from Thumbnails
+                      {t("details.regenerateFromThumbnails")}
                     </DropdownMenuItem>
                   </DropdownMenuContent>
                 </DropdownMenu>
@@ -562,12 +976,42 @@ function ObjectDetailsTab({
             !config?.cameras[search.camera].genai.enabled) && (
             <Button
               variant="select"
-              aria-label="Save"
+              aria-label={t("button.save", { ns: "common" })}
               onClick={updateDescription}
             >
-              Save
+              {t("button.save", { ns: "common" })}
             </Button>
           )}
+          <TextEntryDialog
+            open={isSubLabelDialogOpen}
+            setOpen={setIsSubLabelDialogOpen}
+            title={t("details.editSubLabel.title")}
+            description={
+              search.label
+                ? t("details.editSubLabel.desc", {
+                    label: search.label,
+                  })
+                : t("details.editSubLabel.descNoLabel")
+            }
+            onSave={handleSubLabelSave}
+            defaultValue={search?.sub_label || ""}
+            allowEmpty={true}
+          />
+          <TextEntryDialog
+            open={isLPRDialogOpen}
+            setOpen={setIsLPRDialogOpen}
+            title={t("details.editLPR.title")}
+            description={
+              search.label
+                ? t("details.editLPR.desc", {
+                    label: search.label,
+                  })
+                : t("details.editLPR.descNoLabel")
+            }
+            onSave={handleLPRSave}
+            defaultValue={search?.data.recognized_license_plate || ""}
+            allowEmpty={true}
+          />
         </div>
       </div>
     </div>
@@ -582,6 +1026,7 @@ export function ObjectSnapshotTab({
   search,
   onEventUploaded,
 }: ObjectSnapshotTabProps) {
+  const { t, i18n } = useTranslation(["components/dialog"]);
   type SubmissionState = "reviewing" | "uploading" | "submitted";
 
   const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
@@ -655,8 +1100,8 @@ export function ObjectSnapshotTab({
                     <Tooltip>
                       <TooltipTrigger asChild>
                         <a
-                          download
-                          href={`${baseUrl}api/events/${search?.id}/snapshot.jpg`}
+                          href={`${baseUrl}api/events/${search?.id}/snapshot.jpg?bbox=1`}
+                          download={`${search?.camera}_${search?.label}.jpg`}
                         >
                           <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
                             <FaDownload className="size-4 text-white" />
@@ -664,7 +1109,9 @@ export function ObjectSnapshotTab({
                         </a>
                       </TooltipTrigger>
                       <TooltipPortal>
-                        <TooltipContent>Download</TooltipContent>
+                        <TooltipContent>
+                          {t("button.download", { ns: "common" })}
+                        </TooltipContent>
                       </TooltipPortal>
                     </Tooltip>
                   </div>
@@ -673,7 +1120,8 @@ export function ObjectSnapshotTab({
             </TransformComponent>
             {search.data.type == "object" &&
               search.plus_id !== "not_enabled" &&
-              search.end_time && (
+              search.end_time &&
+              search.label != "on_demand" && (
                 <Card className="p-1 text-sm md:p-2">
                   <CardContent className="flex flex-col items-center justify-between gap-3 p-2 md:flex-row">
                     <div className={cn("flex flex-col space-y-3")}>
@@ -682,50 +1130,81 @@ export function ObjectSnapshotTab({
                           "text-lg font-semibold leading-none tracking-tight"
                         }
                       >
-                        Submit To Frigate+
+                        {t("explore.plus.submitToPlus.label")}
                       </div>
                       <div className="text-sm text-muted-foreground">
-                        Objects in locations you want to avoid are not false
-                        positives. Submitting them as false positives will
-                        confuse the model.
+                        {t("explore.plus.submitToPlus.desc")}
                       </div>
                     </div>
 
-                    <div className="flex flex-row justify-center gap-2 md:justify-end">
+                    <div className="flex w-full flex-1 flex-col justify-center gap-2 md:ml-8 md:w-auto md:justify-end">
                       {state == "reviewing" && (
                         <>
-                          <Button
-                            className="bg-success"
-                            aria-label="Confirm this label for Frigate Plus"
-                            onClick={() => {
-                              setState("uploading");
-                              onSubmitToPlus(false);
-                            }}
-                          >
-                            This is{" "}
-                            {/^[aeiou]/i.test(search?.label || "") ? "an" : "a"}{" "}
-                            {search?.label}
-                          </Button>
-                          <Button
-                            className="text-white"
-                            aria-label="Do not confirm this label for Frigate Plus"
-                            variant="destructive"
-                            onClick={() => {
-                              setState("uploading");
-                              onSubmitToPlus(true);
-                            }}
-                          >
-                            This is not{" "}
-                            {/^[aeiou]/i.test(search?.label || "") ? "an" : "a"}{" "}
-                            {search?.label}
-                          </Button>
+                          <div>
+                            {i18n.language === "en" ? (
+                              // English with a/an logic plus label
+                              <>
+                                {/^[aeiou]/i.test(search?.label || "") ? (
+                                  <Trans
+                                    ns="components/dialog"
+                                    values={{ label: search?.label }}
+                                  >
+                                    explore.plus.review.question.ask_an
+                                  </Trans>
+                                ) : (
+                                  <Trans
+                                    ns="components/dialog"
+                                    values={{ label: search?.label }}
+                                  >
+                                    explore.plus.review.question.ask_a
+                                  </Trans>
+                                )}
+                              </>
+                            ) : (
+                              // For other languages
+                              <Trans
+                                ns="components/dialog"
+                                values={{
+                                  untranslatedLabel: search?.label,
+                                  translatedLabel: getTranslatedLabel(
+                                    search?.label,
+                                  ),
+                                }}
+                              >
+                                explore.plus.review.question.ask_full
+                              </Trans>
+                            )}
+                          </div>
+                          <div className="flex w-full flex-row gap-2">
+                            <Button
+                              className="flex-1 bg-success"
+                              aria-label={t("button.yes", { ns: "common" })}
+                              onClick={() => {
+                                setState("uploading");
+                                onSubmitToPlus(false);
+                              }}
+                            >
+                              {t("button.yes", { ns: "common" })}
+                            </Button>
+                            <Button
+                              className="flex-1 text-white"
+                              aria-label={t("button.no", { ns: "common" })}
+                              variant="destructive"
+                              onClick={() => {
+                                setState("uploading");
+                                onSubmitToPlus(true);
+                              }}
+                            >
+                              {t("button.no", { ns: "common" })}
+                            </Button>
+                          </div>
                         </>
                       )}
                       {state == "uploading" && <ActivityIndicator />}
                       {state == "submitted" && (
                         <div className="flex flex-row items-center justify-center gap-2">
                           <FaCheckCircle className="text-success" />
-                          Submitted
+                          {t("explore.plus.review.state.submitted")}
                         </div>
                       )}
                     </div>
@@ -744,48 +1223,59 @@ type VideoTabProps = {
 };
 
 export function VideoTab({ search }: VideoTabProps) {
+  const { t } = useTranslation(["views/explore"]);
   const navigate = useNavigate();
   const { data: reviewItem } = useSWR<ReviewSegment>([
     `review/event/${search.id}`,
   ]);
-  const endTime = useMemo(() => search.end_time ?? Date.now() / 1000, [search]);
 
-  const source = `${baseUrl}vod/${search.camera}/start/${search.start_time}/end/${endTime}/index.m3u8`;
+  const clipTimeRange = useMemo(() => {
+    const startTime = search.start_time - REVIEW_PADDING;
+    const endTime = (search.end_time ?? Date.now() / 1000) + REVIEW_PADDING;
+    return `start/${startTime}/end/${endTime}`;
+  }, [search]);
+
+  const source = `${baseUrl}vod/${search.camera}/${clipTimeRange}/index.m3u8`;
 
   return (
-    <GenericVideoPlayer source={source}>
-      {reviewItem && (
+    <>
+      <span tabIndex={0} className="sr-only" />
+      <GenericVideoPlayer source={source}>
         <div
           className={cn(
             "absolute top-2 z-10 flex items-center gap-2",
             isIOS ? "right-8" : "right-2",
           )}
         >
-          <Tooltip>
-            <TooltipTrigger>
-              <Chip
-                className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                onClick={() => {
-                  if (reviewItem?.id) {
-                    const params = new URLSearchParams({
-                      id: reviewItem.id,
-                    }).toString();
-                    navigate(`/review?${params}`);
-                  }
-                }}
-              >
-                <FaHistory className="size-4 text-white" />
-              </Chip>
-            </TooltipTrigger>
-            <TooltipPortal>
-              <TooltipContent>View in History</TooltipContent>
-            </TooltipPortal>
-          </Tooltip>
+          {reviewItem && (
+            <Tooltip>
+              <TooltipTrigger>
+                <Chip
+                  className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
+                  onClick={() => {
+                    if (reviewItem?.id) {
+                      const params = new URLSearchParams({
+                        id: reviewItem.id,
+                      }).toString();
+                      navigate(`/review?${params}`);
+                    }
+                  }}
+                >
+                  <FaHistory className="size-4 text-white" />
+                </Chip>
+              </TooltipTrigger>
+              <TooltipPortal>
+                <TooltipContent>
+                  {t("itemMenu.viewInHistory.label")}
+                </TooltipContent>
+              </TooltipPortal>
+            </Tooltip>
+          )}
           <Tooltip>
             <TooltipTrigger asChild>
               <a
                 download
-                href={`${baseUrl}api/${search.camera}/start/${search.start_time}/end/${endTime}/clip.mp4`}
+                href={`${baseUrl}api/${search.camera}/${clipTimeRange}/clip.mp4`}
               >
                 <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
                   <FaDownload className="size-4 text-white" />
@@ -793,11 +1283,13 @@ export function VideoTab({ search }: VideoTabProps) {
               </a>
             </TooltipTrigger>
             <TooltipPortal>
-              <TooltipContent>Download</TooltipContent>
+              <TooltipContent>
+                {t("button.download", { ns: "common" })}
+              </TooltipContent>
             </TooltipPortal>
           </Tooltip>
         </div>
-      )}
-    </GenericVideoPlayer>
+      </GenericVideoPlayer>
+    </>
   );
 }
diff --git a/web/src/components/overlay/dialog/PlatformAwareDialog.tsx b/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
index 46966089b..ad03ba7eb 100644
--- a/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
+++ b/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
@@ -91,7 +91,7 @@ export function PlatformAwareSheet({
               className="mx-2"
               onClose={() => onOpenChange(false)}
             >
-              <MobilePageTitle>More Filters</MobilePageTitle>
+              <MobilePageTitle>{title}</MobilePageTitle>
             </MobilePageHeader>
             <div className={contentClassName}>{content}</div>
           </MobilePageContent>
diff --git a/web/src/components/overlay/dialog/RestartDialog.tsx b/web/src/components/overlay/dialog/RestartDialog.tsx
index 8e1a5c129..a8085c92c 100644
--- a/web/src/components/overlay/dialog/RestartDialog.tsx
+++ b/web/src/components/overlay/dialog/RestartDialog.tsx
@@ -19,6 +19,8 @@ import { Button } from "@/components/ui/button";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { baseUrl } from "@/api/baseUrl";
 
+import { useTranslation } from "react-i18next";
+
 type RestartDialogProps = {
   isOpen: boolean;
   onClose: () => void;
@@ -30,6 +32,7 @@ export default function RestartDialog({
   onClose,
   onRestart,
 }: RestartDialogProps) {
+  const { t } = useTranslation("components/dialog");
   const [restartDialogOpen, setRestartDialogOpen] = useState(isOpen);
   const [restartingSheetOpen, setRestartingSheetOpen] = useState(false);
   const [countdown, setCountdown] = useState(60);
@@ -78,14 +81,14 @@ export default function RestartDialog({
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>
-              Are you sure you want to restart Frigate?
-            </AlertDialogTitle>
+            <AlertDialogTitle>{t("restart.title")}</AlertDialogTitle>
           </AlertDialogHeader>
           <AlertDialogFooter>
-            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
             <AlertDialogAction onClick={handleRestart}>
-              Restart
+              {t("restart.button")}
             </AlertDialogAction>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -100,19 +103,23 @@ export default function RestartDialog({
             <ActivityIndicator />
             <SheetHeader className="mt-5 text-center">
               <SheetTitle className="text-center">
-                Frigate is Restarting
+                {t("restart.restarting.title")}
               </SheetTitle>
               <SheetDescription className="text-center">
-                <div>This page will reload in {countdown} seconds.</div>
+                <div>
+                  {t("restart.restarting.content", {
+                    countdown,
+                  })}
+                </div>
               </SheetDescription>
             </SheetHeader>
             <Button
               size="lg"
               className="mt-5"
-              aria-label="Force reload now"
+              aria-label={t("restart.restarting.button")}
               onClick={handleForceReload}
             >
-              Force Reload Now
+              {t("restart.restarting.button")}
             </Button>
           </div>
         </SheetContent>
diff --git a/web/src/components/overlay/dialog/SearchFilterDialog.tsx b/web/src/components/overlay/dialog/SearchFilterDialog.tsx
index 65109591b..e3c54e021 100644
--- a/web/src/components/overlay/dialog/SearchFilterDialog.tsx
+++ b/web/src/components/overlay/dialog/SearchFilterDialog.tsx
@@ -33,6 +33,15 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
+import { Trans, useTranslation } from "react-i18next";
+import {
+  Command,
+  CommandEmpty,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "@/components/ui/command";
+import { LuCheck } from "react-icons/lu";
 
 type SearchFilterDialogProps = {
   config?: FrigateConfig;
@@ -52,7 +61,7 @@ export default function SearchFilterDialog({
   onUpdateFilter,
 }: SearchFilterDialogProps) {
   // data
-
+  const { t } = useTranslation(["components/filter"]);
   const [currentFilter, setCurrentFilter] = useState(filter ?? {});
   const { data: allSubLabels } = useSWR(["sub_labels", { split_joined: 1 }]);
 
@@ -71,18 +80,21 @@ export default function SearchFilterDialog({
       currentFilter &&
       (currentFilter.time_range ||
         (currentFilter.min_score ?? 0) > 0.5 ||
+        (currentFilter.min_speed ?? 1) > 1 ||
         (currentFilter.has_snapshot ?? 0) === 1 ||
         (currentFilter.has_clip ?? 0) === 1 ||
         (currentFilter.max_score ?? 1) < 1 ||
+        (currentFilter.max_speed ?? 150) < 150 ||
         (currentFilter.zones?.length ?? 0) > 0 ||
-        (currentFilter.sub_labels?.length ?? 0) > 0),
+        (currentFilter.sub_labels?.length ?? 0) > 0 ||
+        (currentFilter.recognized_license_plate?.length ?? 0) > 0),
     [currentFilter],
   );
 
   const trigger = (
     <Button
       className="flex items-center gap-2"
-      aria-label="More Filters"
+      aria-label={t("more")}
       size="sm"
       variant={moreFiltersSelected ? "select" : "default"}
     >
@@ -91,7 +103,7 @@ export default function SearchFilterDialog({
           moreFiltersSelected ? "text-white" : "text-secondary-foreground",
         )}
       />
-      More Filters
+      {t("more")}
     </Button>
   );
   const content = (
@@ -117,6 +129,15 @@ export default function SearchFilterDialog({
           setCurrentFilter({ ...currentFilter, sub_labels: newSubLabels })
         }
       />
+      <RecognizedLicensePlatesFilterContent
+        recognizedLicensePlates={currentFilter.recognized_license_plate}
+        setRecognizedLicensePlates={(plate) =>
+          setCurrentFilter({
+            ...currentFilter,
+            recognized_license_plate: plate,
+          })
+        }
+      />
       <ScoreFilterContent
         minScore={currentFilter.min_score}
         maxScore={currentFilter.max_score}
@@ -124,6 +145,14 @@ export default function SearchFilterDialog({
           setCurrentFilter({ ...currentFilter, min_score: min, max_score: max })
         }
       />
+      <SpeedFilterContent
+        config={config}
+        minSpeed={currentFilter.min_speed}
+        maxSpeed={currentFilter.max_speed}
+        setSpeedRange={(min, max) =>
+          setCurrentFilter({ ...currentFilter, min_speed: min, max_speed: max })
+        }
+      />
       <SnapshotClipFilterContent
         config={config}
         hasSnapshot={
@@ -156,7 +185,7 @@ export default function SearchFilterDialog({
       <div className="flex items-center justify-evenly p-2">
         <Button
           variant="select"
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           onClick={() => {
             if (currentFilter != filter) {
               onUpdateFilter(currentFilter);
@@ -165,10 +194,10 @@ export default function SearchFilterDialog({
             setOpen(false);
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
         <Button
-          aria-label="Reset filters to default values"
+          aria-label={t("reset.label")}
           onClick={() => {
             setCurrentFilter((prevFilter) => ({
               ...prevFilter,
@@ -178,12 +207,15 @@ export default function SearchFilterDialog({
               search_type: undefined,
               min_score: undefined,
               max_score: undefined,
+              min_speed: undefined,
+              max_speed: undefined,
               has_snapshot: undefined,
               has_clip: undefined,
+              recognized_license_plate: undefined,
             }));
           }}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </div>
@@ -192,6 +224,7 @@ export default function SearchFilterDialog({
   return (
     <PlatformAwareSheet
       trigger={trigger}
+      title={t("more")}
       content={content}
       contentClassName={cn(
         "w-auto lg:min-w-[275px] scrollbar-container h-full overflow-auto px-4",
@@ -219,15 +252,18 @@ function TimeRangeFilterContent({
   timeRange,
   updateTimeRange,
 }: TimeRangeFilterContentProps) {
+  const { t } = useTranslation(["components/filter", "components/dialog"]);
   const [startOpen, setStartOpen] = useState(false);
   const [endOpen, setEndOpen] = useState(false);
 
   const [afterHour, beforeHour] = useMemo(() => {
-    if (!timeRange || !timeRange.includes(",")) {
-      return [DEFAULT_TIME_RANGE_AFTER, DEFAULT_TIME_RANGE_BEFORE];
+    if (Array.isArray(timeRange) && timeRange.length === 2) {
+      return timeRange;
     }
-
-    return timeRange.split(",");
+    if (typeof timeRange === "string" && timeRange.includes(",")) {
+      return timeRange.split(",");
+    }
+    return [DEFAULT_TIME_RANGE_AFTER, DEFAULT_TIME_RANGE_BEFORE];
   }, [timeRange]);
 
   const [selectedAfterHour, setSelectedAfterHour] = useState(afterHour);
@@ -260,7 +296,7 @@ function TimeRangeFilterContent({
 
   return (
     <div className="overflow-x-hidden">
-      <div className="text-lg">Time Range</div>
+      <div className="text-lg">{t("timeRange")}</div>
       <div className="mt-3 flex flex-row items-center justify-center gap-2">
         <Popover
           open={startOpen}
@@ -273,7 +309,9 @@ function TimeRangeFilterContent({
           <PopoverTrigger asChild>
             <Button
               className={`text-primary ${isDesktop ? "" : "text-xs"} `}
-              aria-label="Select Start Time"
+              aria-label={t("export.time.start.label", {
+                ns: "components/dialog",
+              })}
               variant={startOpen ? "select" : "default"}
               size="sm"
               onClick={() => {
@@ -311,7 +349,9 @@ function TimeRangeFilterContent({
           <PopoverTrigger asChild>
             <Button
               className={`text-primary ${isDesktop ? "" : "text-xs"}`}
-              aria-label="Select End Time"
+              aria-label={t("export.time.end.label", {
+                ns: "components/dialog",
+              })}
               variant={endOpen ? "select" : "default"}
               size="sm"
               onClick={() => {
@@ -354,11 +394,12 @@ export function ZoneFilterContent({
   zones,
   updateZones,
 }: ZoneFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       <div className="overflow-x-hidden">
         <DropdownMenuSeparator className="mb-3" />
-        <div className="text-lg">Zones</div>
+        <div className="text-lg">{t("zones.label")}</div>
         {allZones && (
           <>
             <div className="mb-5 mt-2.5 flex items-center justify-between">
@@ -366,7 +407,7 @@ export function ZoneFilterContent({
                 className="mx-2 cursor-pointer text-primary"
                 htmlFor="allZones"
               >
-                All Zones
+                {t("zones.all.title")}
               </Label>
               <Switch
                 className="ml-1"
@@ -421,13 +462,21 @@ export function SubFilterContent({
   subLabels,
   setSubLabels,
 }: SubFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+  const sortedSubLabels = useMemo(
+    () =>
+      [...allSubLabels].sort((a, b) =>
+        a.toLowerCase().localeCompare(b.toLowerCase()),
+      ),
+    [allSubLabels],
+  );
   return (
     <div className="overflow-x-hidden">
       <DropdownMenuSeparator className="mb-3" />
-      <div className="text-lg">Sub Labels</div>
+      <div className="text-lg">{t("subLabels.label")}</div>
       <div className="mb-5 mt-2.5 flex items-center justify-between">
         <Label className="mx-2 cursor-pointer text-primary" htmlFor="allLabels">
-          All Sub Labels
+          {t("subLabels.all")}
         </Label>
         <Switch
           className="ml-1"
@@ -441,7 +490,7 @@ export function SubFilterContent({
         />
       </div>
       <div className="mt-2.5 flex flex-col gap-2.5">
-        {allSubLabels.map((item) => (
+        {sortedSubLabels.map((item) => (
           <FilterSwitch
             key={item}
             label={item.replaceAll("_", " ")}
@@ -479,10 +528,11 @@ export function ScoreFilterContent({
   maxScore,
   setScoreRange,
 }: ScoreFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <div className="overflow-x-hidden">
       <DropdownMenuSeparator className="mb-3" />
-      <div className="mb-3 text-lg">Score</div>
+      <div className="mb-3 text-lg">{t("score")}</div>
       <div className="flex items-center gap-1">
         <Input
           className="w-14 text-center"
@@ -521,6 +571,69 @@ export function ScoreFilterContent({
   );
 }
 
+type SpeedFilterContentProps = {
+  config?: FrigateConfig;
+  minSpeed: number | undefined;
+  maxSpeed: number | undefined;
+  setSpeedRange: (min: number | undefined, max: number | undefined) => void;
+};
+export function SpeedFilterContent({
+  config,
+  minSpeed,
+  maxSpeed,
+  setSpeedRange,
+}: SpeedFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+  return (
+    <div className="overflow-x-hidden">
+      <DropdownMenuSeparator className="mb-3" />
+      <div className="mb-3 text-lg">
+        {t("estimatedSpeed", {
+          ns: "components/filter",
+          unit:
+            config?.ui.unit_system == "metric"
+              ? t("unit.speed.kph", { ns: "common" })
+              : t("unit.speed.mph", { ns: "common" }),
+        })}
+      </div>
+      <div className="flex items-center gap-1">
+        <Input
+          className="w-14 text-center"
+          inputMode="numeric"
+          value={minSpeed ?? 1}
+          onChange={(e) => {
+            const value = e.target.value;
+
+            if (value) {
+              setSpeedRange(parseInt(value), maxSpeed ?? 1.0);
+            }
+          }}
+        />
+        <DualThumbSlider
+          className="mx-2 w-full"
+          min={1}
+          max={150}
+          step={1}
+          value={[minSpeed ?? 1, maxSpeed ?? 150]}
+          onValueChange={([min, max]) => setSpeedRange(min, max)}
+        />
+        <Input
+          className="w-14 text-center"
+          inputMode="numeric"
+          value={maxSpeed ?? 150}
+          onChange={(e) => {
+            const value = e.target.value;
+
+            if (value) {
+              setSpeedRange(minSpeed ?? 1, parseInt(value));
+            }
+          }}
+        />
+      </div>
+    </div>
+  );
+}
+
 type SnapshotClipContentProps = {
   config?: FrigateConfig;
   hasSnapshot: boolean | undefined;
@@ -540,6 +653,7 @@ export function SnapshotClipFilterContent({
   submittedToFrigatePlus,
   setSnapshotClip,
 }: SnapshotClipContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   const [isSnapshotFilterActive, setIsSnapshotFilterActive] = useState(
     hasSnapshot !== undefined,
   );
@@ -568,7 +682,7 @@ export function SnapshotClipFilterContent({
   return (
     <div className="overflow-x-hidden">
       <DropdownMenuSeparator className="mb-3" />
-      <div className="mb-3 text-lg">Features</div>
+      <div className="mb-3 text-lg">{t("features.label")}</div>
 
       <div className="my-2.5 space-y-1">
         <div className="flex items-center justify-between">
@@ -590,7 +704,7 @@ export function SnapshotClipFilterContent({
               htmlFor="snapshot-filter"
               className="cursor-pointer text-sm font-medium leading-none"
             >
-              Has a snapshot
+              {t("features.hasSnapshot")}
             </Label>
           </div>
           <ToggleGroup
@@ -608,17 +722,17 @@ export function SnapshotClipFilterContent({
           >
             <ToggleGroupItem
               value="yes"
-              aria-label="Yes"
+              aria-label={t("button.yes", { ns: "common" })}
               className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
             >
-              Yes
+              {t("button.yes", { ns: "common" })}
             </ToggleGroupItem>
             <ToggleGroupItem
               value="no"
-              aria-label="No"
+              aria-label={t("button.no", { ns: "common" })}
               className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
             >
-              No
+              {t("button.no", { ns: "common" })}
             </ToggleGroupItem>
           </ToggleGroup>
         </div>
@@ -652,12 +766,9 @@ export function SnapshotClipFilterContent({
                       side="left"
                       sideOffset={5}
                     >
-                      You must first filter on tracked objects that have a
-                      snapshot.
-                      <br />
-                      <br />
-                      Tracked objects without a snapshot cannot be submitted to
-                      Frigate+.
+                      <Trans ns="components/filter">
+                        features.submittedToFrigatePlus.tips
+                      </Trans>
                     </TooltipContent>
                   )}
                 </Tooltip>
@@ -666,7 +777,7 @@ export function SnapshotClipFilterContent({
                 htmlFor="plus-filter"
                 className="cursor-pointer text-sm font-medium leading-none"
               >
-                Submitted to Frigate+
+                {t("features.submittedToFrigatePlus.label")}
               </Label>
             </div>
             <ToggleGroup
@@ -689,17 +800,17 @@ export function SnapshotClipFilterContent({
             >
               <ToggleGroupItem
                 value="yes"
-                aria-label="Yes"
+                aria-label={t("button.yes", { ns: "common" })}
                 className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
               >
-                Yes
+                {t("button.yes", { ns: "common" })}
               </ToggleGroupItem>
               <ToggleGroupItem
                 value="no"
-                aria-label="No"
+                aria-label={t("button.no", { ns: "common" })}
                 className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
               >
-                No
+                {t("button.no", { ns: "common" })}
               </ToggleGroupItem>
             </ToggleGroup>
           </div>
@@ -728,7 +839,7 @@ export function SnapshotClipFilterContent({
               htmlFor="clip-filter"
               className="cursor-pointer text-sm font-medium leading-none"
             >
-              Has a video clip
+              {t("features.hasVideoClip")}
             </Label>
           </div>
           <ToggleGroup
@@ -744,17 +855,17 @@ export function SnapshotClipFilterContent({
           >
             <ToggleGroupItem
               value="yes"
-              aria-label="Yes"
+              aria-label={t("button.yes", { ns: "common" })}
               className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
             >
-              Yes
+              {t("button.yes", { ns: "common" })}
             </ToggleGroupItem>
             <ToggleGroupItem
               value="no"
-              aria-label="No"
+              aria-label={t("button.no", { ns: "common" })}
               className="data-[state=on]:bg-selected data-[state=on]:text-white data-[state=on]:hover:bg-selected data-[state=on]:hover:text-white"
             >
-              No
+              {t("button.no", { ns: "common" })}
             </ToggleGroupItem>
           </ToggleGroup>
         </div>
@@ -762,3 +873,148 @@ export function SnapshotClipFilterContent({
     </div>
   );
 }
+
+type RecognizedLicensePlatesFilterContentProps = {
+  recognizedLicensePlates: string[] | undefined;
+  setRecognizedLicensePlates: (
+    recognizedLicensePlates: string[] | undefined,
+  ) => void;
+};
+
+export function RecognizedLicensePlatesFilterContent({
+  recognizedLicensePlates,
+  setRecognizedLicensePlates,
+}: RecognizedLicensePlatesFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+
+  const { data: allRecognizedLicensePlates, error } = useSWR<string[]>(
+    "recognized_license_plates",
+    {
+      revalidateOnFocus: false,
+    },
+  );
+
+  const [selectedRecognizedLicensePlates, setSelectedRecognizedLicensePlates] =
+    useState<string[]>(recognizedLicensePlates || []);
+  const [inputValue, setInputValue] = useState("");
+
+  useEffect(() => {
+    if (recognizedLicensePlates) {
+      setSelectedRecognizedLicensePlates(recognizedLicensePlates);
+    } else {
+      setSelectedRecognizedLicensePlates([]);
+    }
+  }, [recognizedLicensePlates]);
+
+  const handleSelect = (recognizedLicensePlate: string) => {
+    const newSelected = selectedRecognizedLicensePlates.includes(
+      recognizedLicensePlate,
+    )
+      ? selectedRecognizedLicensePlates.filter(
+          (id) => id !== recognizedLicensePlate,
+        ) // Deselect
+      : [...selectedRecognizedLicensePlates, recognizedLicensePlate]; // Select
+
+    setSelectedRecognizedLicensePlates(newSelected);
+    if (newSelected.length === 0) {
+      setRecognizedLicensePlates(undefined); // Clear filter if no plates selected
+    } else {
+      setRecognizedLicensePlates(newSelected);
+    }
+  };
+
+  if (!allRecognizedLicensePlates || allRecognizedLicensePlates.length === 0) {
+    return null;
+  }
+
+  const filterItems = (value: string, search: string) => {
+    if (!search) return 1; // Show all items if no search input
+
+    if (search.includes("*") || search.includes("?")) {
+      const escapedSearch = search
+        .replace(/[.+^${}()|[\]\\]/g, "\\$&")
+        .replace(/\*/g, ".*") // * matches any characters
+        .replace(/\?/g, "."); // ? matches any single character
+      const regex = new RegExp(`^${escapedSearch}$`, "i");
+      return regex.test(value) ? 1 : -1; // 1 for match, -1 for no match
+    }
+
+    // fallback to substring matching if no wildcards
+    return value.toLowerCase().includes(search.toLowerCase()) ? 1 : -1;
+  };
+
+  return (
+    <div className="overflow-x-hidden">
+      <DropdownMenuSeparator className="mb-3" />
+      <div className="mb-3 text-lg">{t("recognizedLicensePlates.title")}</div>
+      {error ? (
+        <p className="text-sm text-red-500">
+          {t("recognizedLicensePlates.loadFailed")}
+        </p>
+      ) : !allRecognizedLicensePlates ? (
+        <p className="text-sm text-muted-foreground">
+          {t("recognizedLicensePlates.loading")}
+        </p>
+      ) : (
+        <>
+          <Command
+            className="border border-input bg-background"
+            filter={filterItems}
+          >
+            <CommandInput
+              placeholder={t("recognizedLicensePlates.placeholder")}
+              value={inputValue}
+              onValueChange={setInputValue}
+            />
+            <CommandList className="max-h-[200px] overflow-auto">
+              {allRecognizedLicensePlates.length > 0 && inputValue && (
+                <CommandEmpty>
+                  {t("recognizedLicensePlates.noLicensePlatesFound")}
+                </CommandEmpty>
+              )}
+              {allRecognizedLicensePlates.map((plate) => (
+                <CommandItem
+                  key={plate}
+                  value={plate}
+                  onSelect={() => handleSelect(plate)}
+                  className="cursor-pointer"
+                >
+                  <LuCheck
+                    className={cn(
+                      "mr-2 h-4 w-4",
+                      selectedRecognizedLicensePlates.includes(plate)
+                        ? "opacity-100"
+                        : "opacity-0",
+                    )}
+                  />
+                  {plate}
+                </CommandItem>
+              ))}
+            </CommandList>
+          </Command>
+          {selectedRecognizedLicensePlates.length > 0 && (
+            <div className="mt-2 flex flex-wrap gap-2">
+              {selectedRecognizedLicensePlates.map((id) => (
+                <span
+                  key={id}
+                  className="inline-flex items-center rounded bg-selected px-2 py-1 text-sm text-white"
+                >
+                  {id}
+                  <button
+                    onClick={() => handleSelect(id)}
+                    className="ml-1 text-white hover:text-gray-200"
+                  >
+                    ×
+                  </button>
+                </span>
+              ))}
+            </div>
+          )}
+        </>
+      )}
+      <p className="mt-1 text-sm text-muted-foreground">
+        {t("recognizedLicensePlates.selectPlatesFromList")}
+      </p>
+    </div>
+  );
+}
diff --git a/web/src/components/overlay/dialog/TextEntryDialog.tsx b/web/src/components/overlay/dialog/TextEntryDialog.tsx
new file mode 100644
index 000000000..08867c9dc
--- /dev/null
+++ b/web/src/components/overlay/dialog/TextEntryDialog.tsx
@@ -0,0 +1,66 @@
+import TextEntry from "@/components/input/TextEntry";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { cn } from "@/lib/utils";
+import { isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
+
+type TextEntryDialogProps = {
+  open: boolean;
+  title: string;
+  description?: string;
+  setOpen: (open: boolean) => void;
+  onSave: (text: string) => void;
+  defaultValue?: string;
+  allowEmpty?: boolean;
+  regexPattern?: RegExp;
+  regexErrorMessage?: string;
+};
+
+export default function TextEntryDialog({
+  open,
+  title,
+  description,
+  setOpen,
+  onSave,
+  defaultValue = "",
+  allowEmpty = false,
+  regexPattern,
+  regexErrorMessage,
+}: TextEntryDialogProps) {
+  const { t } = useTranslation("common");
+
+  return (
+    <Dialog open={open} defaultOpen={false} onOpenChange={setOpen}>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>{title}</DialogTitle>
+          {description && <DialogDescription>{description}</DialogDescription>}
+        </DialogHeader>
+        <TextEntry
+          defaultValue={defaultValue}
+          allowEmpty={allowEmpty}
+          onSave={onSave}
+          regexPattern={regexPattern}
+          regexErrorMessage={regexErrorMessage}
+        >
+          <DialogFooter className={cn("pt-4", isMobile && "gap-2")}>
+            <Button type="button" onClick={() => setOpen(false)}>
+              {t("button.cancel")}
+            </Button>
+            <Button variant="select" type="submit">
+              {t("button.save")}
+            </Button>
+          </DialogFooter>
+        </TextEntry>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/overlay/dialog/UploadImageDialog.tsx b/web/src/components/overlay/dialog/UploadImageDialog.tsx
new file mode 100644
index 000000000..be4506357
--- /dev/null
+++ b/web/src/components/overlay/dialog/UploadImageDialog.tsx
@@ -0,0 +1,49 @@
+import ImageEntry from "@/components/input/ImageEntry";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { useTranslation } from "react-i18next";
+
+type UploadImageDialogProps = {
+  open: boolean;
+  title: string;
+  description?: string;
+  setOpen: (open: boolean) => void;
+  onSave: (file: File) => void;
+};
+export default function UploadImageDialog({
+  open,
+  title,
+  description,
+  setOpen,
+  onSave,
+}: UploadImageDialogProps) {
+  const { t } = useTranslation("common");
+
+  return (
+    <Dialog open={open} defaultOpen={false} onOpenChange={setOpen}>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>{title}</DialogTitle>
+          {description && <DialogDescription>{description}</DialogDescription>}
+        </DialogHeader>
+        <ImageEntry onSave={onSave}>
+          <DialogFooter className="pt-4">
+            <Button type="button" onClick={() => setOpen(false)}>
+              {t("button.cancel")}
+            </Button>
+            <Button variant="select" type="submit">
+              {t("button.save")}
+            </Button>
+          </DialogFooter>
+        </ImageEntry>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/player/BirdseyeLivePlayer.tsx b/web/src/components/player/BirdseyeLivePlayer.tsx
index 2666ac9f7..286f19216 100644
--- a/web/src/components/player/BirdseyeLivePlayer.tsx
+++ b/web/src/components/player/BirdseyeLivePlayer.tsx
@@ -58,6 +58,7 @@ export default function BirdseyeLivePlayer({
         height={birdseyeConfig.height}
         containerRef={containerRef}
         playbackEnabled={true}
+        useWebGL={true}
       />
     );
   } else {
diff --git a/web/src/components/player/GenericVideoPlayer.tsx b/web/src/components/player/GenericVideoPlayer.tsx
index 75f56e96f..ed4427740 100644
--- a/web/src/components/player/GenericVideoPlayer.tsx
+++ b/web/src/components/player/GenericVideoPlayer.tsx
@@ -1,7 +1,8 @@
-import React, { useState, useRef } from "react";
+import React, { useState, useRef, useEffect, useCallback } from "react";
 import { useVideoDimensions } from "@/hooks/use-video-dimensions";
 import HlsVideoPlayer from "./HlsVideoPlayer";
 import ActivityIndicator from "../indicators/activity-indicator";
+import useKeyboardListener from "@/hooks/use-keyboard-listener";
 
 type GenericVideoPlayerProps = {
   source: string;
@@ -15,37 +16,113 @@ export function GenericVideoPlayer({
   children,
 }: GenericVideoPlayerProps) {
   const [isLoading, setIsLoading] = useState(true);
+  const [sourceExists, setSourceExists] = useState(true);
   const videoRef = useRef<HTMLVideoElement | null>(null);
   const containerRef = useRef<HTMLDivElement | null>(null);
   const { videoDimensions, setVideoResolution } =
     useVideoDimensions(containerRef);
 
+  useEffect(() => {
+    const checkSourceExists = async (url: string) => {
+      try {
+        const response = await fetch(url, { method: "HEAD" });
+        // nginx vod module returns 502 for non existent media
+        // https://github.com/kaltura/nginx-vod-module/issues/468
+        setSourceExists(response.status !== 502 && response.status !== 404);
+      } catch (error) {
+        setSourceExists(false);
+      }
+    };
+
+    checkSourceExists(source);
+  }, [source]);
+
+  const onSeek = useCallback(
+    (diff: number) => {
+      const currentTime = videoRef.current?.currentTime;
+
+      if (!currentTime) {
+        return;
+      }
+
+      videoRef.current!.currentTime = Math.max(0, currentTime + diff);
+    },
+    [videoRef],
+  );
+
+  useKeyboardListener(
+    ["ArrowDown", "ArrowLeft", "ArrowRight", "ArrowUp", " ", "f", "m"],
+    (key, modifiers) => {
+      if (!modifiers.down || modifiers.repeat) {
+        return;
+      }
+
+      switch (key) {
+        case "ArrowDown":
+          onSeek(-1);
+          break;
+        case "ArrowLeft":
+          onSeek(-10);
+          break;
+        case "ArrowRight":
+          onSeek(10);
+          break;
+        case "ArrowUp":
+          onSeek(1);
+          break;
+        case " ":
+          if (videoRef.current?.paused) {
+            videoRef.current?.play();
+          } else {
+            videoRef.current?.pause();
+          }
+          break;
+        case "f":
+          videoRef.current?.requestFullscreen();
+          break;
+        case "m":
+          if (videoRef.current) {
+            videoRef.current.muted = !videoRef.current.muted;
+          }
+          break;
+      }
+    },
+  );
+
   return (
     <div ref={containerRef} className="relative flex h-full w-full flex-col">
       <div className="relative flex flex-grow items-center justify-center">
-        {isLoading && (
-          <ActivityIndicator className="absolute left-1/2 top-1/2 z-10 -translate-x-1/2 -translate-y-1/2" />
+        {!sourceExists ? (
+          <div className="flex aspect-video w-full items-center justify-center bg-background_alt text-lg text-primary">
+            Video not available
+          </div>
+        ) : (
+          <>
+            {isLoading && (
+              <ActivityIndicator className="absolute left-1/2 top-1/2 z-10 -translate-x-1/2 -translate-y-1/2" />
+            )}
+            <div
+              className="relative flex items-center justify-center"
+              style={videoDimensions}
+            >
+              <HlsVideoPlayer
+                videoRef={videoRef}
+                currentSource={source}
+                hotKeys
+                visible
+                frigateControls={false}
+                fullscreen={false}
+                supportsFullscreen={false}
+                onPlaying={() => {
+                  setIsLoading(false);
+                  onPlaying?.();
+                }}
+                setFullResolution={setVideoResolution}
+              />
+              {!isLoading && children}
+            </div>
+          </>
         )}
-        <div
-          className="relative flex items-center justify-center"
-          style={videoDimensions}
-        >
-          <HlsVideoPlayer
-            videoRef={videoRef}
-            currentSource={source}
-            hotKeys
-            visible
-            frigateControls={false}
-            fullscreen={false}
-            supportsFullscreen={false}
-            onPlaying={() => {
-              setIsLoading(false);
-              onPlaying?.();
-            }}
-            setFullResolution={setVideoResolution}
-          />
-          {!isLoading && children}
-        </div>
       </div>
     </div>
   );
diff --git a/web/src/components/player/HlsVideoPlayer.tsx b/web/src/components/player/HlsVideoPlayer.tsx
index 0661fb0c9..7a147939f 100644
--- a/web/src/components/player/HlsVideoPlayer.tsx
+++ b/web/src/components/player/HlsVideoPlayer.tsx
@@ -18,6 +18,7 @@ import { useOverlayState } from "@/hooks/use-overlay-state";
 import { usePersistence } from "@/hooks/use-persistence";
 import { cn } from "@/lib/utils";
 import { ASPECT_VERTICAL_LAYOUT, RecordingPlayerError } from "@/types/record";
+import { useTranslation } from "react-i18next";
 
 // Android native hls does not seek correctly
 const USE_NATIVE_HLS = !isAndroid;
@@ -36,6 +37,7 @@ type HlsVideoPlayerProps = {
   supportsFullscreen: boolean;
   fullscreen: boolean;
   frigateControls?: boolean;
+  inpointOffset?: number;
   onClipEnded?: () => void;
   onPlayerLoaded?: () => void;
   onTimeUpdate?: (time: number) => void;
@@ -54,6 +56,7 @@ export default function HlsVideoPlayer({
   supportsFullscreen,
   fullscreen,
   frigateControls = true,
+  inpointOffset = 0,
   onClipEnded,
   onPlayerLoaded,
   onTimeUpdate,
@@ -63,6 +66,7 @@ export default function HlsVideoPlayer({
   toggleFullscreen,
   onError,
 }: HlsVideoPlayerProps) {
+  const { t } = useTranslation("components/player");
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // playback
@@ -144,7 +148,7 @@ export default function HlsVideoPlayer({
 
   const [tallCamera, setTallCamera] = useState(false);
   const [isPlaying, setIsPlaying] = useState(true);
-  const [muted, setMuted] = useOverlayState("playerMuted", true);
+  const [muted, setMuted] = usePersistence("hlsPlayerMuted", true);
   const [volume, setVolume] = useOverlayState("playerVolume", 1.0);
   const [defaultPlaybackRate] = usePersistence("playbackRate", 1);
   const [playbackRate, setPlaybackRate] = useOverlayState(
@@ -185,6 +189,16 @@ export default function HlsVideoPlayer({
     };
   }, [videoRef, controlsOpen]);
 
+  const getVideoTime = useCallback(() => {
+    const currentTime = videoRef.current?.currentTime;
+
+    if (!currentTime) {
+      return undefined;
+    }
+
+    return currentTime + inpointOffset;
+  }, [videoRef, inpointOffset]);
+
   return (
     <TransformWrapper
       minScale={1.0}
@@ -211,7 +225,7 @@ export default function HlsVideoPlayer({
             fullscreen: supportsFullscreen,
           }}
           setControlsOpen={setControlsOpen}
-          setMuted={(muted) => setMuted(muted, true)}
+          setMuted={(muted) => setMuted(muted)}
           playbackRate={playbackRate ?? 1}
           hotKeys={hotKeys}
           onPlayPause={onPlayPause}
@@ -232,15 +246,17 @@ export default function HlsVideoPlayer({
             }
           }}
           onUploadFrame={async () => {
-            if (videoRef.current && onUploadFrame) {
-              const resp = await onUploadFrame(videoRef.current.currentTime);
+            const frameTime = getVideoTime();
+
+            if (frameTime && onUploadFrame) {
+              const resp = await onUploadFrame(frameTime);
 
               if (resp && resp.status == 200) {
-                toast.success("Successfully submitted frame to Frigate+", {
+                toast.success(t("toast.success.submittedFrigatePlus"), {
                   position: "top-center",
                 });
               } else {
-                toast.success("Failed to submit frame to Frigate+", {
+                toast.success(t("toast.error.submitFrigatePlusFailed"), {
                   position: "top-center",
                 });
               }
@@ -280,9 +296,12 @@ export default function HlsVideoPlayer({
                 }
               : undefined
           }
-          onVolumeChange={() =>
-            setVolume(videoRef.current?.volume ?? 1.0, true)
-          }
+          onVolumeChange={() => {
+            setVolume(videoRef.current?.volume ?? 1.0, true);
+            if (!frigateControls) {
+              setMuted(videoRef.current?.muted);
+            }
+          }}
           onPlay={() => {
             setIsPlaying(true);
 
@@ -330,11 +349,17 @@ export default function HlsVideoPlayer({
               }
             }
           }}
-          onTimeUpdate={() =>
-            onTimeUpdate && videoRef.current
-              ? onTimeUpdate(videoRef.current.currentTime)
-              : undefined
-          }
+          onTimeUpdate={() => {
+            if (!onTimeUpdate) {
+              return;
+            }
+
+            const frameTime = getVideoTime();
+
+            if (frameTime) {
+              onTimeUpdate(frameTime);
+            }
+          }}
           onLoadedData={() => {
             onPlayerLoaded?.();
             handleLoadedMetadata();
diff --git a/web/src/components/player/JSMpegPlayer.tsx b/web/src/components/player/JSMpegPlayer.tsx
index 401e85869..3753a9e46 100644
--- a/web/src/components/player/JSMpegPlayer.tsx
+++ b/web/src/components/player/JSMpegPlayer.tsx
@@ -1,6 +1,7 @@
 import { baseUrl } from "@/api/baseUrl";
 import { useResizeObserver } from "@/hooks/resize-observer";
 import { cn } from "@/lib/utils";
+import { PlayerStatsType } from "@/types/live";
 // @ts-expect-error we know this doesn't have types
 import JSMpeg from "@cycjimmy/jsmpeg-player";
 import React, { useEffect, useMemo, useRef, useState } from "react";
@@ -12,6 +13,8 @@ type JSMpegPlayerProps = {
   height: number;
   containerRef: React.MutableRefObject<HTMLDivElement | null>;
   playbackEnabled: boolean;
+  useWebGL: boolean;
+  setStats?: (stats: PlayerStatsType) => void;
   onPlaying?: () => void;
 };
 
@@ -22,6 +25,8 @@ export default function JSMpegPlayer({
   className,
   containerRef,
   playbackEnabled,
+  useWebGL = false,
+  setStats,
   onPlaying,
 }: JSMpegPlayerProps) {
   const url = `${baseUrl.replace(/^http/, "ws")}live/jsmpeg/${camera}`;
@@ -33,6 +38,9 @@ export default function JSMpegPlayer({
   const [hasData, setHasData] = useState(false);
   const hasDataRef = useRef(hasData);
   const [dimensionsReady, setDimensionsReady] = useState(false);
+  const bytesReceivedRef = useRef(0);
+  const lastTimestampRef = useRef(Date.now());
+  const statsIntervalRef = useRef<NodeJS.Timeout | null>(null);
 
   const selectedContainerRef = useMemo(
     () => (containerRef.current ? containerRef : internalContainerRef),
@@ -111,6 +119,8 @@ export default function JSMpegPlayer({
     const canvas = canvasRef.current;
     let videoElement: JSMpeg.VideoElement | null = null;
 
+    let frameCount = 0;
+
     setHasData(false);
 
     if (videoWrapper && playbackEnabled) {
@@ -123,21 +133,68 @@ export default function JSMpegPlayer({
           {
             protocols: [],
             audio: false,
-            disableGl: camera != "birdseye",
-            disableWebAssembly: camera != "birdseye",
+            disableGl: !useWebGL,
+            disableWebAssembly: !useWebGL,
             videoBufferSize: 1024 * 1024 * 4,
             onVideoDecode: () => {
               if (!hasDataRef.current) {
                 setHasData(true);
                 onPlayingRef.current?.();
               }
+              frameCount++;
             },
           },
         );
+
+        // Set up WebSocket message handler
+        if (
+          videoElement.player &&
+          videoElement.player.source &&
+          videoElement.player.source.socket
+        ) {
+          const socket = videoElement.player.source.socket;
+          socket.addEventListener("message", (event: MessageEvent) => {
+            if (event.data instanceof ArrayBuffer) {
+              bytesReceivedRef.current += event.data.byteLength;
+            }
+          });
+        }
+
+        // Update stats every second
+        statsIntervalRef.current = setInterval(() => {
+          const currentTimestamp = Date.now();
+          const timeDiff = (currentTimestamp - lastTimestampRef.current) / 1000; // in seconds
+          const bitrate = (bytesReceivedRef.current * 8) / timeDiff / 1000; // in kbps
+
+          setStats?.({
+            streamType: "jsmpeg",
+            bandwidth: Math.round(bitrate),
+            totalFrames: frameCount,
+            latency: undefined,
+            droppedFrames: undefined,
+            decodedFrames: undefined,
+            droppedFrameRate: undefined,
+          });
+
+          bytesReceivedRef.current = 0;
+          lastTimestampRef.current = currentTimestamp;
+        }, 1000);
+
+        return () => {
+          if (statsIntervalRef.current) {
+            clearInterval(statsIntervalRef.current);
+            frameCount = 0;
+            statsIntervalRef.current = null;
+          }
+        };
       }, 0);
 
       return () => {
         clearTimeout(initPlayer);
+        if (statsIntervalRef.current) {
+          clearInterval(statsIntervalRef.current);
+          statsIntervalRef.current = null;
+        }
         if (videoElement) {
           try {
             // this causes issues in react strict mode
diff --git a/web/src/components/player/LivePlayer.tsx b/web/src/components/player/LivePlayer.tsx
index 8038812db..3d8df2b34 100644
--- a/web/src/components/player/LivePlayer.tsx
+++ b/web/src/components/player/LivePlayer.tsx
@@ -11,6 +11,7 @@ import { useCameraActivity } from "@/hooks/use-camera-activity";
 import {
   LivePlayerError,
   LivePlayerMode,
+  PlayerStatsType,
   VideoResolutionType,
 } from "@/types/live";
 import { getIconForLabel } from "@/utils/iconUtil";
@@ -20,20 +21,28 @@ import { cn } from "@/lib/utils";
 import { TbExclamationCircle } from "react-icons/tb";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { baseUrl } from "@/api/baseUrl";
+import { PlayerStats } from "./PlayerStats";
+import { LuVideoOff } from "react-icons/lu";
+import { Trans, useTranslation } from "react-i18next";
 
 type LivePlayerProps = {
   cameraRef?: (ref: HTMLDivElement | null) => void;
   containerRef?: React.MutableRefObject<HTMLDivElement | null>;
   className?: string;
   cameraConfig: CameraConfig;
+  streamName: string;
   preferredLiveMode: LivePlayerMode;
   showStillWithoutActivity?: boolean;
+  useWebGL: boolean;
   windowVisible?: boolean;
   playAudio?: boolean;
+  volume?: number;
+  playInBackground: boolean;
   micEnabled?: boolean; // only webrtc supports mic
   iOSCompatFullScreen?: boolean;
   pip?: boolean;
   autoLive?: boolean;
+  showStats?: boolean;
   onClick?: () => void;
   setFullResolution?: React.Dispatch<React.SetStateAction<VideoResolutionType>>;
   onError?: (error: LivePlayerError) => void;
@@ -45,25 +54,49 @@ export default function LivePlayer({
   containerRef,
   className,
   cameraConfig,
+  streamName,
   preferredLiveMode,
   showStillWithoutActivity = true,
+  useWebGL = false,
   windowVisible = true,
   playAudio = false,
+  volume,
+  playInBackground = false,
   micEnabled = false,
   iOSCompatFullScreen = false,
   pip,
   autoLive = true,
+  showStats = false,
   onClick,
   setFullResolution,
   onError,
   onResetLiveMode,
 }: LivePlayerProps) {
+  const { t } = useTranslation(["components/player"]);
+
   const internalContainerRef = useRef<HTMLDivElement | null>(null);
 
+  // stats
+
+  const [stats, setStats] = useState<PlayerStatsType>({
+    streamType: "-",
+    bandwidth: 0, // in kbps
+    latency: undefined, // in seconds
+    totalFrames: 0,
+    droppedFrames: undefined,
+    decodedFrames: 0,
+    droppedFrameRate: 0, // percentage
+  });
+
   // camera activity
 
-  const { activeMotion, activeTracking, objects, offline } =
-    useCameraActivity(cameraConfig);
+  const {
+    enabled: cameraEnabled,
+    activeMotion,
+    activeTracking,
+    objects,
+    offline,
+  } = useCameraActivity(cameraConfig);
 
   const cameraActive = useMemo(
     () =>
@@ -144,24 +177,75 @@ export default function LivePlayer({
     setLiveReady(false);
   }, [preferredLiveMode]);
 
+  const [key, setKey] = useState(0);
+
+  const resetPlayer = () => {
+    setLiveReady(false);
+    setKey((prevKey) => prevKey + 1);
+  };
+
+  useEffect(() => {
+    if (streamName) {
+      resetPlayer();
+    }
+  }, [streamName]);
+
+  useEffect(() => {
+    if (showStillWithoutActivity && !autoLive) {
+      setLiveReady(false);
+    }
+  }, [showStillWithoutActivity, autoLive]);
+
   const playerIsPlaying = useCallback(() => {
     setLiveReady(true);
   }, []);
 
+  // enabled states
+
+  const [isReEnabling, setIsReEnabling] = useState(false);
+  const prevCameraEnabledRef = useRef(cameraEnabled ?? true);
+
+  useEffect(() => {
+    if (cameraEnabled == undefined) {
+      return;
+    }
+    if (!prevCameraEnabledRef.current && cameraEnabled) {
+      // Camera enabled
+      setLiveReady(false);
+      setIsReEnabling(true);
+      setKey((prevKey) => prevKey + 1);
+    } else if (prevCameraEnabledRef.current && !cameraEnabled) {
+      // Camera disabled
+      setLiveReady(false);
+      setKey((prevKey) => prevKey + 1);
+    }
+    prevCameraEnabledRef.current = cameraEnabled;
+  }, [cameraEnabled]);
+
+  useEffect(() => {
+    if (liveReady && isReEnabling) {
+      setIsReEnabling(false);
+    }
+  }, [liveReady, isReEnabling]);
+
   if (!cameraConfig) {
     return <ActivityIndicator />;
   }
 
   let player;
-  if (!autoLive) {
+  if (!autoLive || !streamName || !cameraEnabled) {
     player = null;
   } else if (preferredLiveMode == "webrtc") {
     player = (
       <WebRtcPlayer
+        key={"webrtc_" + key}
         className={`size-full rounded-lg md:rounded-2xl ${liveReady ? "" : "hidden"}`}
-        camera={cameraConfig.live.stream_name}
+        camera={streamName}
         playbackEnabled={cameraActive || liveReady}
+        getStats={showStats}
+        setStats={setStats}
         audioEnabled={playAudio}
+        volume={volume}
         microphoneEnabled={micEnabled}
         iOSCompatFullScreen={iOSCompatFullScreen}
         onPlaying={playerIsPlaying}
@@ -173,10 +257,15 @@ export default function LivePlayer({
     if ("MediaSource" in window || "ManagedMediaSource" in window) {
       player = (
         <MSEPlayer
+          key={"mse_" + key}
           className={`size-full rounded-lg md:rounded-2xl ${liveReady ? "" : "hidden"}`}
-          camera={cameraConfig.live.stream_name}
+          camera={streamName}
           playbackEnabled={cameraActive || liveReady}
           audioEnabled={playAudio}
+          volume={volume}
+          playInBackground={playInBackground}
+          getStats={showStats}
+          setStats={setStats}
           onPlaying={playerIsPlaying}
           pip={pip}
           setFullResolution={setFullResolution}
@@ -186,7 +275,7 @@ export default function LivePlayer({
     } else {
       player = (
         <div className="w-5xl text-center text-sm">
-          iOS 17.1 or greater is required for this live stream type.
+          {t("livePlayerRequiredIOSVersion")}
         </div>
       );
     }
@@ -194,6 +283,7 @@ export default function LivePlayer({
     if (cameraActive || !showStillWithoutActivity || liveReady) {
       player = (
         <JSMpegPlayer
+          key={"jsmpeg_" + key}
           className="flex justify-center overflow-hidden rounded-lg md:rounded-2xl"
           camera={cameraConfig.name}
           width={cameraConfig.detect.width}
@@ -201,6 +291,8 @@ export default function LivePlayer({
           playbackEnabled={
             cameraActive || !showStillWithoutActivity || liveReady
           }
+          useWebGL={useWebGL}
+          setStats={setStats}
           containerRef={containerRef ?? internalContainerRef}
           onPlaying={playerIsPlaying}
         />
@@ -232,16 +324,18 @@ export default function LivePlayer({
         }
       }}
     >
-      {((showStillWithoutActivity && !liveReady) || liveReady) && (
-        <>
-          <div className="pointer-events-none absolute inset-x-0 top-0 z-10 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent md:rounded-2xl"></div>
-          <div className="pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent md:rounded-2xl"></div>
-        </>
-      )}
+      {cameraEnabled &&
+        ((showStillWithoutActivity && !liveReady) || liveReady) && (
+          <>
+            <div className="pointer-events-none absolute inset-x-0 top-0 z-10 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent md:rounded-2xl"></div>
+            <div className="pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent md:rounded-2xl"></div>
+          </>
+        )}
       {player}
-      {!offline && !showStillWithoutActivity && !liveReady && (
-        <ActivityIndicator />
-      )}
+      {cameraEnabled &&
+        !offline &&
+        (!showStillWithoutActivity || isReEnabling) &&
+        !liveReady && <ActivityIndicator />}
 
       {((showStillWithoutActivity && !liveReady) || liveReady) &&
         objects.length > 0 && (
@@ -267,11 +361,13 @@ export default function LivePlayer({
                 </TooltipTrigger>
               </div>
               <TooltipPortal>
-                <TooltipContent className="capitalize">
+                <TooltipContent className="smart-capitalize">
                   {[
                     ...new Set([
                       ...(objects || []).map(({ label, sub_label }) =>
-                        label.endsWith("verified") ? sub_label : label,
+                        label.endsWith("verified")
+                          ? sub_label
+                          : label.replaceAll("_", " "),
                       ),
                     ]),
                   ]
@@ -289,27 +385,49 @@ export default function LivePlayer({
       <div
         className={cn(
           "absolute inset-0 w-full",
-          showStillWithoutActivity && !liveReady ? "visible" : "invisible",
+          showStillWithoutActivity &&
+            !liveReady &&
+            !isReEnabling &&
+            cameraEnabled
+            ? "visible"
+            : "invisible",
         )}
       >
         <AutoUpdatingCameraImage
-          className="size-full"
+          className="pointer-events-none size-full"
+          cameraClasses="relative size-full flex justify-center"
           camera={cameraConfig.name}
           showFps={false}
           reloadInterval={stillReloadInterval}
-          cameraClasses="relative size-full flex justify-center"
+          periodicCache
         />
       </div>
 
-      {offline && !showStillWithoutActivity && (
+      {offline && !showStillWithoutActivity && cameraEnabled && (
         <div className="absolute inset-0 left-1/2 top-1/2 flex h-96 w-96 -translate-x-1/2 -translate-y-1/2">
           <div className="flex flex-col items-center justify-center rounded-lg bg-background/50 p-5">
-            <p className="my-5 text-lg">Stream offline</p>
+            <p className="my-5 text-lg">{t("streamOffline.title")}</p>
             <TbExclamationCircle className="mb-3 size-10" />
             <p className="max-w-96 text-center">
-              No frames have been received on the{" "}
-              {capitalizeFirstLetter(cameraConfig.name)} <code>detect</code>{" "}
-              stream, check error logs
+              <Trans
+                ns="components/player"
+                values={{
+                  cameraName: capitalizeFirstLetter(cameraConfig.name),
+                }}
+              >
+                streamOffline.desc
+              </Trans>
+            </p>
+          </div>
+        </div>
+      )}
+
+      {!cameraEnabled && (
+        <div className="relative flex h-full w-full items-center justify-center rounded-2xl border border-secondary-foreground bg-background_alt">
+          <div className="flex h-32 flex-col items-center justify-center rounded-lg p-4 md:h-48 md:w-48">
+            <LuVideoOff className="mb-2 size-8 md:size-10" />
+            <p className="max-w-32 text-center text-sm md:max-w-40 md:text-base">
+              {t("cameraDisabled")}
             </p>
           </div>
         </div>
@@ -322,7 +440,7 @@ export default function LivePlayer({
           ((showStillWithoutActivity && !liveReady) || liveReady) && (
             <MdCircle className="mr-2 size-2 animate-pulse text-danger shadow-danger drop-shadow-md" />
           )}
-        {offline && showStillWithoutActivity && (
+        {((offline && showStillWithoutActivity) || !cameraEnabled) && (
           <Chip
             className={`z-0 flex items-start justify-between space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs capitalize`}
           >
@@ -330,6 +448,9 @@ export default function LivePlayer({
           </Chip>
         )}
       </div>
+      {showStats && (
+        <PlayerStats stats={stats} minimal={cameraRef !== undefined} />
+      )}
     </div>
   );
 }
diff --git a/web/src/components/player/MsePlayer.tsx b/web/src/components/player/MsePlayer.tsx
index 52cf8f99c..f3ef17a24 100644
--- a/web/src/components/player/MsePlayer.tsx
+++ b/web/src/components/player/MsePlayer.tsx
@@ -1,5 +1,9 @@
 import { baseUrl } from "@/api/baseUrl";
-import { LivePlayerError, VideoResolutionType } from "@/types/live";
+import {
+  LivePlayerError,
+  PlayerStatsType,
+  VideoResolutionType,
+} from "@/types/live";
 import {
   SetStateAction,
   useCallback,
@@ -15,7 +19,11 @@ type MSEPlayerProps = {
   className?: string;
   playbackEnabled?: boolean;
   audioEnabled?: boolean;
+  volume?: number;
+  playInBackground?: boolean;
   pip?: boolean;
+  getStats?: boolean;
+  setStats?: (stats: PlayerStatsType) => void;
   onPlaying?: () => void;
   setFullResolution?: React.Dispatch<SetStateAction<VideoResolutionType>>;
   onError?: (error: LivePlayerError) => void;
@@ -26,7 +34,11 @@ function MSEPlayer({
   className,
   playbackEnabled = true,
   audioEnabled = false,
+  volume,
+  playInBackground = false,
   pip = false,
+  getStats = false,
+  setStats,
   onPlaying,
   setFullResolution,
   onError,
@@ -57,6 +69,7 @@ function MSEPlayer({
   const [connectTS, setConnectTS] = useState<number>(0);
   const [bufferTimeout, setBufferTimeout] = useState<NodeJS.Timeout>();
   const [errorCount, setErrorCount] = useState<number>(0);
+  const totalBytesLoaded = useRef(0);
 
   const videoRef = useRef<HTMLVideoElement>(null);
   const wsRef = useRef<WebSocket | null>(null);
@@ -316,6 +329,8 @@ function MSEPlayer({
       let bufLen = 0;
 
       ondataRef.current = (data) => {
+        totalBytesLoaded.current += data.byteLength;
+
         if (sb?.updating || bufLen > 0) {
           const b = new Uint8Array(data);
           buf.set(b, bufLen);
@@ -446,6 +461,7 @@ function MSEPlayer({
         setBufferTimeout(undefined);
       }
 
+      const timeoutDuration = bufferTime == 0 ? 5000 : 3000;
       setBufferTimeout(
         setTimeout(() => {
           if (
@@ -456,7 +472,7 @@ function MSEPlayer({
             onDisconnect();
             onError("stalled");
           }
-        }, 3000),
+        }, timeoutDuration),
       );
     }
   }, [
@@ -508,12 +524,22 @@ function MSEPlayer({
       }
     };
 
-    document.addEventListener("visibilitychange", listener);
+    if (!playInBackground) {
+      document.addEventListener("visibilitychange", listener);
+    }
 
     return () => {
-      document.removeEventListener("visibilitychange", listener);
+      if (!playInBackground) {
+        document.removeEventListener("visibilitychange", listener);
+      }
     };
-  }, [playbackEnabled, visibilityCheck, onConnect, onDisconnect]);
+  }, [
+    playbackEnabled,
+    visibilityCheck,
+    playInBackground,
+    onConnect,
+    onDisconnect,
+  ]);
 
   // control pip
 
@@ -525,6 +551,16 @@ function MSEPlayer({
     videoRef.current.requestPictureInPicture();
   }, [pip, videoRef]);
 
+  // control volume
+
+  useEffect(() => {
+    if (!videoRef.current || volume == undefined) {
+      return;
+    }
+
+    videoRef.current.volume = volume;
+  }, [volume, videoRef]);
+
   // ensure we disconnect for slower connections
 
   useEffect(() => {
@@ -542,6 +578,68 @@ function MSEPlayer({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [playbackEnabled]);
 
+  // stats
+
+  useEffect(() => {
+    const video = videoRef.current;
+    let lastLoadedBytes = totalBytesLoaded.current;
+    let lastTimestamp = Date.now();
+
+    if (!getStats) return;
+
+    const updateStats = () => {
+      if (video) {
+        const now = Date.now();
+        const bytesLoaded = totalBytesLoaded.current;
+        const timeElapsed = (now - lastTimestamp) / 1000; // seconds
+        const bandwidth = (bytesLoaded - lastLoadedBytes) / timeElapsed / 1024; // kbps
+
+        lastLoadedBytes = bytesLoaded;
+        lastTimestamp = now;
+
+        const latency =
+          video.seekable.length > 0
+            ? Math.max(
+                0,
+                video.seekable.end(video.seekable.length - 1) -
+                  video.currentTime,
+              )
+            : 0;
+
+        const videoQuality = video.getVideoPlaybackQuality();
+        const { totalVideoFrames, droppedVideoFrames } = videoQuality;
+        const droppedFrameRate = totalVideoFrames
+          ? (droppedVideoFrames / totalVideoFrames) * 100
+          : 0;
+
+        setStats?.({
+          streamType: "MSE",
+          bandwidth,
+          latency,
+          totalFrames: totalVideoFrames,
+          droppedFrames: droppedVideoFrames || undefined,
+          decodedFrames: totalVideoFrames - droppedVideoFrames,
+          droppedFrameRate,
+        });
+      }
+    };
+
+    const interval = setInterval(updateStats, 1000); // Update every second
+
+    return () => {
+      clearInterval(interval);
+      setStats?.({
+        streamType: "-",
+        bandwidth: 0,
+        latency: undefined,
+        totalFrames: 0,
+        droppedFrames: undefined,
+        decodedFrames: 0,
+        droppedFrameRate: 0,
+      });
+    };
+  }, [setStats, getStats]);
+
   return (
     <video
       ref={videoRef}
diff --git a/web/src/components/player/PlayerStats.tsx b/web/src/components/player/PlayerStats.tsx
new file mode 100644
index 000000000..baea08b35
--- /dev/null
+++ b/web/src/components/player/PlayerStats.tsx
@@ -0,0 +1,114 @@
+import { cn } from "@/lib/utils";
+import { PlayerStatsType } from "@/types/live";
+import { useTranslation } from "react-i18next";
+
+type PlayerStatsProps = {
+  stats: PlayerStatsType;
+  minimal: boolean;
+};
+
+export function PlayerStats({ stats, minimal }: PlayerStatsProps) {
+  const { t } = useTranslation(["components/player"]);
+  const fullStatsContent = (
+    <>
+      <p>
+        <span className="text-white/70">{t("stats.streamType.title")}</span>{" "}
+        <span className="text-white">{stats.streamType}</span>
+      </p>
+      <p>
+        <span className="text-white/70">{t("stats.bandwidth.title")}</span>{" "}
+        <span className="text-white">{stats.bandwidth.toFixed(2)} kbps</span>
+      </p>
+      {stats.latency != undefined && (
+        <p>
+          <span className="text-white/70">{t("stats.latency.title")}</span>{" "}
+          <span
+            className={`text-white ${stats.latency > 2 ? "text-danger" : ""}`}
+          >
+            {t("stats.latency.value", { seconds: stats.latency.toFixed(2) })}
+          </span>
+        </p>
+      )}
+      <p>
+        <span className="text-white/70">{t("stats.totalFrames")}</span>{" "}
+        <span className="text-white">{stats.totalFrames}</span>
+      </p>
+      {stats.droppedFrames != undefined && (
+        <p>
+          <span className="text-white/70">
+            {t("stats.droppedFrames.title")}
+          </span>{" "}
+          <span className="text-white">{stats.droppedFrames}</span>
+        </p>
+      )}
+      {stats.decodedFrames != undefined && (
+        <p>
+          <span className="text-white/70">{t("stats.decodedFrames")}</span>{" "}
+          <span className="text-white">{stats.decodedFrames}</span>
+        </p>
+      )}
+      {stats.droppedFrameRate != undefined && (
+        <p>
+          <span className="text-white/70">{t("stats.droppedFrameRate")}</span>{" "}
+          <span className="text-white">
+            {stats.droppedFrameRate.toFixed(2)}%
+          </span>
+        </p>
+      )}
+    </>
+  );
+
+  const minimalStatsContent = (
+    <div className="flex flex-row items-center justify-center gap-4">
+      <div className="flex flex-col items-center justify-start gap-1">
+        <span className="text-white/70">{t("stats.streamType.short")}</span>
+        <span className="text-white">{stats.streamType}</span>
+      </div>
+      <div className="flex flex-col items-center gap-1">
+        <span className="text-white/70">{t("stats.bandwidth.short")}</span>{" "}
+        <span className="text-white">{stats.bandwidth.toFixed(2)} kbps</span>
+      </div>
+      {stats.latency != undefined && (
+        <div className="hidden flex-col items-center gap-1 md:flex">
+          <span className="text-white/70">
+            {t("stats.latency.short.title")}
+          </span>
+          <span
+            className={`text-white ${stats.latency >= 2 ? "text-danger" : ""}`}
+          >
+            {t("stats.latency.short.value", {
+              seconds: stats.latency.toFixed(2),
+            })}
+          </span>
+        </div>
+      )}
+      {stats.droppedFrames != undefined && (
+        <div className="flex flex-col items-center justify-end gap-1">
+          <span className="text-white/70">
+            {t("stats.droppedFrames.short.title")}
+          </span>
+          <span className="text-white">
+            {t("stats.droppedFrames.short.value", {
+              droppedFrames: stats.droppedFrames,
+            })}
+          </span>
+        </div>
+      )}
+    </div>
+  );
+
+  return (
+    <>
+      <div
+        className={cn(
+          minimal
+            ? "absolute bottom-0 left-0 max-h-[50%] w-full overflow-y-auto rounded-b-lg p-1 md:rounded-b-xl md:p-3"
+            : "absolute bottom-2 right-2 min-w-52 rounded-2xl p-4",
+          "z-50 flex flex-col gap-1 bg-black/70 text-[9px] duration-300 animate-in fade-in md:text-xs",
+        )}
+      >
+        {minimal ? minimalStatsContent : fullStatsContent}
+      </div>
+    </>
+  );
+}
diff --git a/web/src/components/player/PreviewPlayer.tsx b/web/src/components/player/PreviewPlayer.tsx
index b233c6ad4..4e807d771 100644
--- a/web/src/components/player/PreviewPlayer.tsx
+++ b/web/src/components/player/PreviewPlayer.tsx
@@ -20,8 +20,10 @@ import {
   getPreviewForTimeRange,
   usePreviewForTimeRange,
 } from "@/hooks/use-camera-previews";
+import { useTranslation } from "react-i18next";
 
 type PreviewPlayerProps = {
+  previewRef?: (ref: HTMLDivElement | null) => void;
   className?: string;
   camera: string;
   timeRange: TimeRange;
@@ -29,19 +31,23 @@ type PreviewPlayerProps = {
   startTime?: number;
   isScrubbing: boolean;
   forceAspect?: number;
+  isVisible?: boolean;
   onControllerReady: (controller: PreviewController) => void;
   onClick?: () => void;
 };
 export default function PreviewPlayer({
+  previewRef,
   className,
   camera,
   timeRange,
   cameraPreviews,
   startTime,
   isScrubbing,
+  isVisible = true,
   onControllerReady,
   onClick,
 }: PreviewPlayerProps) {
+  const { t } = useTranslation(["components/player"]);
   const [currentHourFrame, setCurrentHourFrame] = useState<string>();
   const currentPreview = usePreviewForTimeRange(
     cameraPreviews,
@@ -52,6 +58,7 @@ export default function PreviewPlayer({
   if (currentPreview) {
     return (
       <PreviewVideoPlayer
+        visibilityRef={previewRef}
         className={className}
         camera={camera}
         timeRange={timeRange}
@@ -59,6 +66,7 @@ export default function PreviewPlayer({
         initialPreview={currentPreview}
         startTime={startTime}
         isScrubbing={isScrubbing}
+        isVisible={isVisible}
         currentHourFrame={currentHourFrame}
         onControllerReady={onControllerReady}
         onClick={onClick}
@@ -88,7 +96,7 @@ export default function PreviewPlayer({
         className,
       )}
     >
-      No Preview Found
+      {t("noPreviewFound")}
     </div>
   );
 }
@@ -108,6 +116,7 @@ export abstract class PreviewController {
 }
 
 type PreviewVideoPlayerProps = {
+  visibilityRef?: (ref: HTMLDivElement | null) => void;
   className?: string;
   camera: string;
   timeRange: TimeRange;
@@ -115,12 +124,14 @@ type PreviewVideoPlayerProps = {
   initialPreview?: Preview;
   startTime?: number;
   isScrubbing: boolean;
+  isVisible: boolean;
   currentHourFrame?: string;
   onControllerReady: (controller: PreviewVideoController) => void;
   onClick?: () => void;
   setCurrentHourFrame: (src: string | undefined) => void;
 };
 function PreviewVideoPlayer({
+  visibilityRef,
   className,
   camera,
   timeRange,
@@ -128,11 +139,13 @@ function PreviewVideoPlayer({
   initialPreview,
   startTime,
   isScrubbing,
+  isVisible,
   currentHourFrame,
   onControllerReady,
   onClick,
   setCurrentHourFrame,
 }: PreviewVideoPlayerProps) {
+  const { t } = useTranslation(["components/player"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // controlling playback
@@ -264,11 +277,13 @@ function PreviewVideoPlayer({
 
   return (
     <div
+      ref={visibilityRef}
       className={cn(
         "relative flex w-full justify-center overflow-hidden rounded-lg bg-black md:rounded-2xl",
         onClick && "cursor-pointer",
         className,
       )}
+      data-camera={camera}
       onClick={onClick}
     >
       <img
@@ -283,48 +298,51 @@ function PreviewVideoPlayer({
           previewRef.current?.load();
         }}
       />
-      <video
-        ref={previewRef}
-        className={`absolute size-full ${currentHourFrame ? "invisible" : "visible"}`}
-        preload="auto"
-        autoPlay
-        playsInline
-        muted
-        disableRemotePlayback
-        onSeeked={onPreviewSeeked}
-        onLoadedData={() => {
-          if (firstLoad) {
-            setFirstLoad(false);
-          }
-
-          if (controller) {
-            controller.previewReady();
-          } else {
-            previewRef.current?.pause();
-          }
-
-          if (previewRef.current) {
-            setVideoSize([
-              previewRef.current.videoWidth,
-              previewRef.current.videoHeight,
-            ]);
-
-            if (startTime && currentPreview) {
-              previewRef.current.currentTime = startTime - currentPreview.start;
+      {isVisible && (
+        <video
+          ref={previewRef}
+          className={`absolute size-full ${currentHourFrame ? "invisible" : "visible"}`}
+          preload="auto"
+          autoPlay
+          playsInline
+          muted
+          disableRemotePlayback
+          onSeeked={onPreviewSeeked}
+          onLoadedData={() => {
+            if (firstLoad) {
+              setFirstLoad(false);
             }
-          }
-        }}
-      >
-        {currentPreview != undefined && (
-          <source
-            src={`${baseUrl}${currentPreview.src.substring(1)}`}
-            type={currentPreview.type}
-          />
-        )}
-      </video>
+
+            if (controller) {
+              controller.previewReady();
+            } else {
+              previewRef.current?.pause();
+            }
+
+            if (previewRef.current) {
+              setVideoSize([
+                previewRef.current.videoWidth,
+                previewRef.current.videoHeight,
+              ]);
+
+              if (startTime && currentPreview) {
+                previewRef.current.currentTime =
+                  startTime - currentPreview.start;
+              }
+            }
+          }}
+        >
+          {currentPreview != undefined && (
+            <source
+              src={`${baseUrl}${currentPreview.src.substring(1)}`}
+              type={currentPreview.type}
+            />
+          )}
+        </video>
+      )}
       {cameraPreviews && !currentPreview && (
         <div className="absolute inset-0 flex items-center justify-center rounded-lg bg-background_alt text-primary dark:bg-black md:rounded-2xl">
-          No Preview Found for {camera.replaceAll("_", " ")}
+          {t("noPreviewFoundFor", { camera: camera.replaceAll("_", " ") })}
         </div>
       )}
       {firstLoad && <Skeleton className="absolute aspect-video size-full" />}
@@ -444,6 +462,8 @@ function PreviewFramesPlayer({
   onControllerReady,
   onClick,
 }: PreviewFramesPlayerProps) {
+  const { t } = useTranslation(["components/player"]);
+
   // frames data
 
   const { data: previewFrames } = useSWR<string[]>(
@@ -544,7 +564,7 @@ function PreviewFramesPlayer({
       />
       {previewFrames?.length === 0 && (
         <div className="-y-translate-1/2 align-center absolute inset-x-0 top-1/2 rounded-lg bg-background_alt text-center text-primary dark:bg-black md:rounded-2xl">
-          No Preview Found for {camera.replaceAll("_", " ")}
+          {t("noPreviewFoundFor", { cameraName: camera.replaceAll("_", " ") })}
         </div>
       )}
       {firstLoad && <Skeleton className="absolute aspect-video size-full" />}
diff --git a/web/src/components/player/PreviewThumbnailPlayer.tsx b/web/src/components/player/PreviewThumbnailPlayer.tsx
index 5c9ccb0a2..0e66b3c26 100644
--- a/web/src/components/player/PreviewThumbnailPlayer.tsx
+++ b/web/src/components/player/PreviewThumbnailPlayer.tsx
@@ -21,6 +21,7 @@ import { cn } from "@/lib/utils";
 import { InProgressPreview, VideoPreview } from "../preview/ScrubbablePreview";
 import { Preview } from "@/types/preview";
 import { baseUrl } from "@/api/baseUrl";
+import { useTranslation } from "react-i18next";
 
 type PreviewPlayerProps = {
   review: ReviewSegment;
@@ -41,6 +42,7 @@ export default function PreviewThumbnailPlayer({
   onClick,
   onTimeUpdate,
 }: PreviewPlayerProps) {
+  const { t } = useTranslation(["components/player"]);
   const apiHost = useApiHost();
   const { data: config } = useSWR<FrigateConfig>("config");
   const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
@@ -167,7 +169,9 @@ export default function PreviewThumbnailPlayer({
 
   const formattedDate = useFormattedTimestamp(
     review.start_time,
-    config?.ui.time_format == "24hour" ? "%b %-d, %H:%M" : "%b %-d, %I:%M %p",
+    config?.ui.time_format == "24hour"
+      ? t("time.formattedTimestampMonthDayHourMinute.24hour", { ns: "common" })
+      : t("time.formattedTimestampMonthDayHourMinute.12hour", { ns: "common" }),
     config?.ui?.timezone,
   );
 
@@ -258,7 +262,7 @@ export default function PreviewThumbnailPlayer({
                 </div>
               </TooltipTrigger>
             </div>
-            <TooltipContent className="capitalize">
+            <TooltipContent className="smart-capitalize">
               {[
                 ...new Set([
                   ...(review.data.objects || []),
diff --git a/web/src/components/player/VideoControls.tsx b/web/src/components/player/VideoControls.tsx
index 50b2cc045..12e6a75d8 100644
--- a/web/src/components/player/VideoControls.tsx
+++ b/web/src/components/player/VideoControls.tsx
@@ -33,6 +33,7 @@ import {
 } from "../ui/alert-dialog";
 import { cn } from "@/lib/utils";
 import { FaCompress, FaExpand } from "react-icons/fa";
+import { useTranslation } from "react-i18next";
 
 type VideoControls = {
   volume?: boolean;
@@ -249,7 +250,9 @@ export default function VideoControls({
         >
           <DropdownMenuTrigger>{`${playbackRate}x`}</DropdownMenuTrigger>
           <DropdownMenuContent
-            portalProps={{ container: controlsContainerRef.current }}
+            portalProps={{
+              container: containerRef?.current ?? controlsContainerRef.current,
+            }}
           >
             <DropdownMenuRadioGroup
               onValueChange={(rate) => onSetPlaybackRate(parseFloat(rate))}
@@ -309,6 +312,8 @@ function FrigatePlusUploadButton({
   onUploadFrame,
   containerRef,
 }: FrigatePlusUploadButtonProps) {
+  const { t } = useTranslation(["components/player"]);
+
   const [videoImg, setVideoImg] = useState<string>();
 
   return (
@@ -346,14 +351,16 @@ function FrigatePlusUploadButton({
         className="md:max-w-2xl lg:max-w-3xl xl:max-w-4xl"
       >
         <AlertDialogHeader>
-          <AlertDialogTitle>Submit this frame to Frigate+?</AlertDialogTitle>
+          <AlertDialogTitle>{t("submitFrigatePlus.title")}</AlertDialogTitle>
         </AlertDialogHeader>
         <img className="aspect-video w-full object-contain" src={videoImg} />
         <AlertDialogFooter>
           <AlertDialogAction className="bg-selected" onClick={onUploadFrame}>
-            Submit
+            {t("submitFrigatePlus.submit")}
           </AlertDialogAction>
-          <AlertDialogCancel>Cancel</AlertDialogCancel>
+          <AlertDialogCancel>
+            {t("button.cancel", { ns: "common" })}
+          </AlertDialogCancel>
         </AlertDialogFooter>
       </AlertDialogContent>
     </AlertDialog>
diff --git a/web/src/components/player/WebRTCPlayer.tsx b/web/src/components/player/WebRTCPlayer.tsx
index 3498c31ff..b4c9ea6b2 100644
--- a/web/src/components/player/WebRTCPlayer.tsx
+++ b/web/src/components/player/WebRTCPlayer.tsx
@@ -1,5 +1,5 @@
 import { baseUrl } from "@/api/baseUrl";
-import { LivePlayerError } from "@/types/live";
+import { LivePlayerError, PlayerStatsType } from "@/types/live";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 
 type WebRtcPlayerProps = {
@@ -7,9 +7,12 @@ type WebRtcPlayerProps = {
   camera: string;
   playbackEnabled?: boolean;
   audioEnabled?: boolean;
+  volume?: number;
   microphoneEnabled?: boolean;
   iOSCompatFullScreen?: boolean; // ios doesn't support fullscreen divs so we must support the video element
   pip?: boolean;
+  getStats?: boolean;
+  setStats?: (stats: PlayerStatsType) => void;
   onPlaying?: () => void;
   onError?: (error: LivePlayerError) => void;
 };
@@ -19,9 +22,12 @@ export default function WebRtcPlayer({
   camera,
   playbackEnabled = true,
   audioEnabled = false,
+  volume,
   microphoneEnabled = false,
   iOSCompatFullScreen = false,
   pip = false,
+  getStats = false,
+  setStats,
   onPlaying,
   onError,
 }: WebRtcPlayerProps) {
@@ -194,6 +200,16 @@ export default function WebRtcPlayer({
     videoRef.current.requestPictureInPicture();
   }, [pip, videoRef]);
 
+  // control volume
+
+  useEffect(() => {
+    if (!videoRef.current || volume == undefined) {
+      return;
+    }
+
+    videoRef.current.volume = volume;
+  }, [volume, videoRef]);
+
   useEffect(() => {
     videoLoadTimeoutRef.current = setTimeout(() => {
       onError?.("stalled");
@@ -215,6 +231,75 @@ export default function WebRtcPlayer({
     onPlaying?.();
   };
 
+  // stats
+
+  useEffect(() => {
+    if (!pcRef.current || !getStats) return;
+
+    let lastBytesReceived = 0;
+    let lastTimestamp = 0;
+
+    const interval = setInterval(async () => {
+      if (pcRef.current && videoRef.current && !videoRef.current.paused) {
+        const report = await pcRef.current.getStats();
+        let bytesReceived = 0;
+        let timestamp = 0;
+        let roundTripTime = 0;
+        let framesReceived = 0;
+        let framesDropped = 0;
+        let framesDecoded = 0;
+
+        report.forEach((stat) => {
+          if (stat.type === "inbound-rtp" && stat.kind === "video") {
+            bytesReceived = stat.bytesReceived;
+            timestamp = stat.timestamp;
+            framesReceived = stat.framesReceived;
+            framesDropped = stat.framesDropped;
+            framesDecoded = stat.framesDecoded;
+          }
+          if (stat.type === "candidate-pair" && stat.state === "succeeded") {
+            roundTripTime = stat.currentRoundTripTime;
+          }
+        });
+
+        const timeDiff = (timestamp - lastTimestamp) / 1000; // in seconds
+        const bitrate =
+          timeDiff > 0
+            ? (bytesReceived - lastBytesReceived) / timeDiff / 1000
+            : 0; // in kbps
+
+        setStats?.({
+          streamType: "WebRTC",
+          bandwidth: Math.round(bitrate),
+          latency: roundTripTime,
+          totalFrames: framesReceived,
+          droppedFrames: framesDropped,
+          decodedFrames: framesDecoded,
+          droppedFrameRate:
+            framesReceived > 0 ? (framesDropped / framesReceived) * 100 : 0,
+        });
+
+        lastBytesReceived = bytesReceived;
+        lastTimestamp = timestamp;
+      }
+    }, 1000);
+
+    return () => {
+      clearInterval(interval);
+      setStats?.({
+        streamType: "-",
+        bandwidth: 0,
+        latency: undefined,
+        totalFrames: 0,
+        droppedFrames: undefined,
+        decodedFrames: 0,
+        droppedFrameRate: 0,
+      });
+    };
+    // we need to listen on the value of the ref
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [pcRef, pcRef.current, getStats]);
+
   return (
     <video
       ref={videoRef}
diff --git a/web/src/components/player/dynamic/DynamicVideoController.ts b/web/src/components/player/dynamic/DynamicVideoController.ts
index 63686b84e..0683481c6 100644
--- a/web/src/components/player/dynamic/DynamicVideoController.ts
+++ b/web/src/components/player/dynamic/DynamicVideoController.ts
@@ -2,6 +2,7 @@ import { Recording } from "@/types/record";
 import { DynamicPlayback } from "@/types/playback";
 import { PreviewController } from "../PreviewPlayer";
 import { TimeRange, ObjectLifecycleSequence } from "@/types/timeline";
+import { calculateInpointOffset } from "@/utils/videoUtil";
 
 type PlayerMode = "playback" | "scrubbing";
 
@@ -17,6 +18,7 @@ export class DynamicVideoController {
   // playback
   private recordings: Recording[] = [];
   private timeRange: TimeRange = { after: 0, before: 0 };
+  private inpointOffset: number = 0;
   private annotationOffset: number;
   private timeToStart: number | undefined = undefined;
 
@@ -41,6 +43,10 @@ export class DynamicVideoController {
   newPlayback(newPlayback: DynamicPlayback) {
     this.recordings = newPlayback.recordings;
     this.timeRange = newPlayback.timeRange;
+    this.inpointOffset = calculateInpointOffset(
+      this.timeRange.after,
+      this.recordings[0],
+    );
 
     if (this.timeToStart) {
       this.seekToTimestamp(this.timeToStart);
@@ -92,6 +98,9 @@ export class DynamicVideoController {
       return true;
     });
 
+    // adjust for HLS inpoint offset
+    seekSeconds -= this.inpointOffset;
+
     if (seekSeconds != 0) {
       this.playerController.currentTime = seekSeconds;
 
diff --git a/web/src/components/player/dynamic/DynamicVideoPlayer.tsx b/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
index 6c4e28e27..450dd1a17 100644
--- a/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
+++ b/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
@@ -12,6 +12,8 @@ import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { VideoResolutionType } from "@/types/live";
 import axios from "axios";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
+import { calculateInpointOffset } from "@/utils/videoUtil";
 
 /**
  * Dynamically switches between video playback and scrubbing preview player.
@@ -50,6 +52,7 @@ export default function DynamicVideoPlayer({
   toggleFullscreen,
   containerRef,
 }: DynamicVideoPlayerProps) {
+  const { t } = useTranslation(["components/player"]);
   const apiHost = useApiHost();
   const { data: config } = useSWR<FrigateConfig>("config");
 
@@ -195,6 +198,11 @@ export default function DynamicVideoPlayer({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [controller, recordings]);
 
+  const inpointOffset = useMemo(
+    () => calculateInpointOffset(recordingParams.after, (recordings || [])[0]),
+    [recordingParams, recordings],
+  );
+
   return (
     <>
       <HlsVideoPlayer
@@ -205,6 +213,7 @@ export default function DynamicVideoPlayer({
         hotKeys={hotKeys}
         supportsFullscreen={supportsFullscreen}
         fullscreen={fullscreen}
+        inpointOffset={inpointOffset}
         onTimeUpdate={onTimeUpdate}
         onPlayerLoaded={onPlayerLoaded}
         onClipEnded={onClipEnded}
@@ -247,7 +256,7 @@ export default function DynamicVideoPlayer({
       )}
       {!isScrubbing && !isLoading && noRecording && (
         <div className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2">
-          No recordings found for this time
+          {t("noRecordingsFoundForThisTime")}
         </div>
       )}
     </>
diff --git a/web/src/components/settings/CameraStreamingDialog.tsx b/web/src/components/settings/CameraStreamingDialog.tsx
new file mode 100644
index 000000000..0f070ce5f
--- /dev/null
+++ b/web/src/components/settings/CameraStreamingDialog.tsx
@@ -0,0 +1,416 @@
+import { useState, useCallback, useEffect, useMemo } from "react";
+import { IoIosWarning } from "react-icons/io";
+import { Button } from "@/components/ui/button";
+import {
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+  DialogDescription,
+} from "@/components/ui/dialog";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { Checkbox } from "@/components/ui/checkbox";
+import { Label } from "@/components/ui/label";
+import {
+  FrigateConfig,
+  GroupStreamingSettings,
+  StreamType,
+} from "@/types/frigateConfig";
+import ActivityIndicator from "../indicators/activity-indicator";
+import useSWR from "swr";
+import { LuCheck, LuExternalLink, LuInfo, LuX } from "react-icons/lu";
+import { Link } from "react-router-dom";
+import { LiveStreamMetadata } from "@/types/live";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
+type CameraStreamingDialogProps = {
+  camera: string;
+  groupStreamingSettings: GroupStreamingSettings;
+  setGroupStreamingSettings: React.Dispatch<
+    React.SetStateAction<GroupStreamingSettings>
+  >;
+  setIsDialogOpen: React.Dispatch<React.SetStateAction<boolean>>;
+  onSave?: (settings: GroupStreamingSettings) => void;
+};
+
+export function CameraStreamingDialog({
+  camera,
+  groupStreamingSettings,
+  setGroupStreamingSettings,
+  setIsDialogOpen,
+  onSave,
+}: CameraStreamingDialogProps) {
+  const { t } = useTranslation(["components/camera", "components/dialog"]);
+
+  const { getLocaleDocUrl } = useDocDomain();
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const [isLoading, setIsLoading] = useState(false);
+
+  const [streamName, setStreamName] = useState(
+    Object.entries(config?.cameras[camera]?.live?.streams || {})[0]?.[1] || "",
+  );
+  const [streamType, setStreamType] = useState<StreamType>("smart");
+  const [compatibilityMode, setCompatibilityMode] = useState(false);
+
+  // metadata
+
+  const isRestreamed = useMemo(
+    () =>
+      config &&
+      Object.keys(config.go2rtc.streams || {}).includes(streamName ?? ""),
+    [config, streamName],
+  );
+
+  const { data: cameraMetadata } = useSWR<LiveStreamMetadata>(
+    isRestreamed ? `go2rtc/streams/${streamName}` : null,
+    {
+      revalidateOnFocus: false,
+    },
+  );
+
+  const supportsAudioOutput = useMemo(() => {
+    if (!cameraMetadata) {
+      return false;
+    }
+
+    return (
+      cameraMetadata.producers.find(
+        (prod) =>
+          prod.medias &&
+          prod.medias.find((media) => media.includes("audio, recvonly")) !=
+            undefined,
+      ) != undefined
+    );
+  }, [cameraMetadata]);
+
+  // handlers
+
+  useEffect(() => {
+    if (!config) {
+      return;
+    }
+
+    // Get available streams from the config and first stream entry as fallback
+    const availableStreams = config?.cameras[camera]?.live?.streams || {};
+    const firstStreamEntry = Object.entries(availableStreams)[0]?.[1] || "";
+
+    if (groupStreamingSettings && groupStreamingSettings[camera]) {
+      const cameraSettings = groupStreamingSettings[camera];
+      const streamNameFromSettings = cameraSettings.streamName || "";
+
+      const streamExists =
+        streamNameFromSettings &&
+        Object.values(availableStreams).includes(streamNameFromSettings);
+
+      setStreamName(streamExists ? streamNameFromSettings : firstStreamEntry);
+      setStreamType(cameraSettings.streamType || "smart");
+      setCompatibilityMode(cameraSettings.compatibilityMode || false);
+    } else {
+      setStreamName(firstStreamEntry);
+      setStreamType("smart");
+      setCompatibilityMode(false);
+    }
+  }, [groupStreamingSettings, camera, config]);
+
+  const handleSave = useCallback(() => {
+    setIsLoading(true);
+    const updatedSettings = {
+      ...groupStreamingSettings,
+      [camera]: {
+        streamName,
+        streamType,
+        compatibilityMode,
+        playAudio: groupStreamingSettings?.[camera]?.playAudio ?? false,
+        volume: groupStreamingSettings?.[camera]?.volume ?? 1,
+      },
+    };
+
+    setGroupStreamingSettings(updatedSettings);
+    setIsDialogOpen(false);
+    setIsLoading(false);
+    onSave?.(updatedSettings);
+  }, [
+    groupStreamingSettings,
+    setGroupStreamingSettings,
+    camera,
+    streamName,
+    streamType,
+    compatibilityMode,
+    setIsDialogOpen,
+    onSave,
+  ]);
+
+  const handleCancel = useCallback(() => {
+    if (!config) {
+      return;
+    }
+
+    // Get available streams from the config and first stream entry as fallback
+    const availableStreams = config?.cameras[camera]?.live?.streams || {};
+    const firstStreamEntry = Object.entries(availableStreams)[0]?.[1] || "";
+
+    if (groupStreamingSettings && groupStreamingSettings[camera]) {
+      const cameraSettings = groupStreamingSettings[camera];
+      const streamNameFromSettings = cameraSettings.streamName || "";
+
+      const streamExists =
+        streamNameFromSettings &&
+        Object.values(availableStreams).includes(streamNameFromSettings);
+
+      setStreamName(streamExists ? streamNameFromSettings : firstStreamEntry);
+      setStreamType(cameraSettings.streamType || "smart");
+      setCompatibilityMode(cameraSettings.compatibilityMode || false);
+    } else {
+      setStreamName(firstStreamEntry);
+      setStreamType("smart");
+      setCompatibilityMode(false);
+    }
+
+    setIsDialogOpen(false);
+  }, [groupStreamingSettings, camera, config, setIsDialogOpen]);
+
+  if (!config) {
+    return null;
+  }
+
+  return (
+    <DialogContent className="sm:max-w-[425px]">
+      <DialogHeader className="mb-4">
+        <DialogTitle className="smart-capitalize">
+          {t("group.camera.setting.title", {
+            cameraName: camera.replaceAll("_", " "),
+          })}
+        </DialogTitle>
+        <DialogDescription>
+          <Trans ns="components/camera">group.camera.setting.desc</Trans>
+        </DialogDescription>
+      </DialogHeader>
+      <div className="flex flex-col space-y-8">
+        {!isRestreamed && (
+          <div className="flex flex-col gap-2">
+            <Label></Label>
+            <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+              <LuX className="size-4 text-danger" />
+              <div>
+                {t("streaming.restreaming.disabled", {
+                  ns: "components/dialog",
+                })}
+              </div>
+              <Popover>
+                <PopoverTrigger asChild>
+                  <div className="cursor-pointer p-0">
+                    <LuInfo className="size-4" />
+                    <span className="sr-only">
+                      {t("button.info", { ns: "common" })}
+                    </span>
+                  </div>
+                </PopoverTrigger>
+                <PopoverContent className="w-80 text-xs">
+                  {t("streaming.restreaming.desc.title", {
+                    ns: "components/dialog",
+                  })}
+                  <div className="mt-2 flex items-center text-primary">
+                    <Link
+                      to={getLocaleDocUrl("configuration/live")}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="inline"
+                    >
+                      {t("streaming.restreaming.desc.readTheDocumentation", {
+                        ns: "components/dialog",
+                      })}
+                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                    </Link>
+                  </div>
+                </PopoverContent>
+              </Popover>
+            </div>
+          </div>
+        )}
+        {isRestreamed &&
+          Object.entries(config?.cameras[camera].live.streams).length > 0 && (
+            <div className="flex flex-col items-start gap-2">
+              <Label htmlFor="stream" className="text-right">
+                {t("group.camera.setting.stream")}
+              </Label>
+              <Select value={streamName} onValueChange={setStreamName}>
+                <SelectTrigger className="">
+                  <SelectValue
+                    placeholder={t("group.camera.setting.placeholder")}
+                  />
+                </SelectTrigger>
+                <SelectContent>
+                  {camera !== "birdseye" &&
+                    Object.entries(config?.cameras[camera].live.streams).map(
+                      ([name, stream]) => (
+                        <SelectItem key={stream} value={stream}>
+                          {name}
+                        </SelectItem>
+                      ),
+                    )}
+                </SelectContent>
+                <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                  {supportsAudioOutput ? (
+                    <>
+                      <LuCheck className="size-4 text-success" />
+                      <div>{t("group.camera.setting.audioIsAvailable")}</div>
+                    </>
+                  ) : (
+                    <>
+                      <LuX className="size-4 text-danger" />
+                      <div>{t("group.camera.setting.audioIsUnavailable")}</div>
+                      <Popover>
+                        <PopoverTrigger asChild>
+                          <div className="cursor-pointer p-0">
+                            <LuInfo className="size-4" />
+                            <span className="sr-only">
+                              {t("button.info", { ns: "common" })}
+                            </span>
+                          </div>
+                        </PopoverTrigger>
+                        <PopoverContent className="w-80 text-xs">
+                          {t("group.camera.setting.audio.tips.title")}
+                          <div className="mt-2 flex items-center text-primary">
+                            <Link
+                              to={getLocaleDocUrl("configuration/live")}
+                              target="_blank"
+                              rel="noopener noreferrer"
+                              className="inline"
+                            >
+                              {t("group.camera.setting.audio.tips.document")}
+                              <LuExternalLink className="ml-2 inline-flex size-3" />
+                            </Link>
+                          </div>
+                        </PopoverContent>
+                      </Popover>
+                    </>
+                  )}
+                </div>
+              </Select>
+            </div>
+          )}
+        <div className="flex flex-col items-start gap-2">
+          <Label htmlFor="streaming-method" className="text-right">
+            {t("group.camera.setting.streamMethod.label")}
+          </Label>
+          <Select
+            value={streamType}
+            onValueChange={(value) => setStreamType(value as StreamType)}
+          >
+            <SelectTrigger className="">
+              <SelectValue
+                placeholder={t("group.camera.setting.streamMethod.placeholder")}
+              />
+            </SelectTrigger>
+            <SelectContent>
+              <SelectItem value="no-streaming">
+                {t(
+                  "group.camera.setting.streamMethod.method.noStreaming.label",
+                )}
+              </SelectItem>
+              <SelectItem value="smart">
+                {t(
+                  "group.camera.setting.streamMethod.method.smartStreaming.label",
+                )}
+              </SelectItem>
+              <SelectItem value="continuous">
+                {t(
+                  "group.camera.setting.streamMethod.method.continuousStreaming.label",
+                )}
+              </SelectItem>
+            </SelectContent>
+          </Select>
+          {streamType === "no-streaming" && (
+            <p className="text-sm text-muted-foreground">
+              {t("group.camera.setting.streamMethod.method.noStreaming.desc")}
+            </p>
+          )}
+          {streamType === "smart" && (
+            <p className="text-sm text-muted-foreground">
+              {t(
+                "group.camera.setting.streamMethod.method.smartStreaming.desc",
+              )}
+            </p>
+          )}
+          {streamType === "continuous" && (
+            <>
+              <p className="text-sm text-muted-foreground">
+                {t(
+                  "group.camera.setting.streamMethod.method.continuousStreaming.desc.title",
+                )}
+              </p>
+              <div className="flex items-center gap-2">
+                <IoIosWarning className="mr-2 size-5 text-danger" />
+                <div className="max-w-[85%] text-sm">
+                  {t(
+                    "group.camera.setting.streamMethod.method.continuousStreaming.desc.warning",
+                  )}
+                </div>
+              </div>
+            </>
+          )}
+        </div>
+        <div className="flex flex-col items-start gap-2">
+          <div className="flex items-center gap-2">
+            <Checkbox
+              id="compatibility"
+              className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
+              checked={compatibilityMode}
+              onCheckedChange={() => setCompatibilityMode(!compatibilityMode)}
+            />
+            <Label
+              htmlFor="compatibility"
+              className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
+            >
+              {t("group.camera.setting.compatibilityMode.label")}
+            </Label>
+          </div>
+          <div className="flex flex-col gap-2 leading-none">
+            <p className="text-sm text-muted-foreground">
+              {t("group.camera.setting.compatibilityMode.desc")}
+            </p>
+          </div>
+        </div>
+      </div>
+      <div className="flex flex-1 flex-col justify-end">
+        <div className="flex flex-row gap-2 pt-5">
+          <Button
+            className="flex flex-1"
+            aria-label={t("button.cancel", { ns: "common" })}
+            onClick={handleCancel}
+          >
+            {t("button.cancel", { ns: "common" })}
+          </Button>
+          <Button
+            variant="select"
+            aria-label={t("button.save", { ns: "common" })}
+            disabled={isLoading}
+            className="flex flex-1"
+            onClick={handleSave}
+          >
+            {isLoading ? (
+              <div className="flex flex-row items-center gap-2">
+                <ActivityIndicator />
+                <span>{t("button.saving", { ns: "common" })}</span>
+              </div>
+            ) : (
+              t("button.save", { ns: "common" })
+            )}
+          </Button>
+        </div>
+      </div>
+    </DialogContent>
+  );
+}
diff --git a/web/src/components/settings/MotionMaskEditPane.tsx b/web/src/components/settings/MotionMaskEditPane.tsx
index 03d7f99b0..bdfc12c3d 100644
--- a/web/src/components/settings/MotionMaskEditPane.tsx
+++ b/web/src/components/settings/MotionMaskEditPane.tsx
@@ -22,6 +22,8 @@ import { Toaster } from "../ui/sonner";
 import ActivityIndicator from "../indicators/activity-indicator";
 import { Link } from "react-router-dom";
 import { LuExternalLink } from "react-icons/lu";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 type MotionMaskEditPaneProps = {
   polygons?: Polygon[];
@@ -33,6 +35,8 @@ type MotionMaskEditPaneProps = {
   setIsLoading: React.Dispatch<React.SetStateAction<boolean>>;
   onSave?: () => void;
   onCancel?: () => void;
+  snapPoints: boolean;
+  setSnapPoints: React.Dispatch<React.SetStateAction<boolean>>;
 };
 
 export default function MotionMaskEditPane({
@@ -45,7 +49,11 @@ export default function MotionMaskEditPane({
   setIsLoading,
   onSave,
   onCancel,
+  snapPoints,
+  setSnapPoints,
 }: MotionMaskEditPaneProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
@@ -101,7 +109,7 @@ export default function MotionMaskEditPane({
       polygon: z.object({ name: z.string(), isFinished: z.boolean() }),
     })
     .refine(() => polygon?.isFinished === true, {
-      message: "The polygon drawing must be finished before saving.",
+      message: t("masksAndZones.form.polygonDrawing.error.mustBeFinished"),
       path: ["polygon.isFinished"],
     });
 
@@ -159,22 +167,38 @@ export default function MotionMaskEditPane({
       .then((res) => {
         if (res.status === 200) {
           toast.success(
-            `${polygon.name || "Motion Mask"} has been saved. Restart Frigate to apply changes.`,
+            polygon.name
+              ? t("masksAndZones.motionMasks.toast.success.title", {
+                  polygonName: polygon.name,
+                })
+              : t("masksAndZones.motionMasks.toast.success.noName"),
             {
               position: "top-center",
             },
           );
           updateConfig();
         } else {
-          toast.error(`Failed to save config changes: ${res.statusText}`, {
-            position: "top-center",
-          });
+          toast.error(
+            t("toast.save.error.title", {
+              errorMessage: res.statusText,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
+          );
         }
       })
       .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
         toast.error(
-          `Failed to save config changes: ${error.response.data.message}`,
-          { position: "top-center" },
+          t("toast.save.error.title", { errorMessage, ns: "common" }),
+          {
+            position: "top-center",
+          },
         );
       })
       .finally(() => {
@@ -187,6 +211,7 @@ export default function MotionMaskEditPane({
     scaledHeight,
     setIsLoading,
     cameraConfig,
+    t,
   ]);
 
   function onSubmit(values: z.infer<typeof formSchema>) {
@@ -202,8 +227,8 @@ export default function MotionMaskEditPane({
   }
 
   useEffect(() => {
-    document.title = "Edit Motion Mask - Frigate";
-  }, []);
+    document.title = t("masksAndZones.motionMasks.documentTitle");
+  }, [t]);
 
   if (!polygon) {
     return;
@@ -213,24 +238,25 @@ export default function MotionMaskEditPane({
     <>
       <Toaster position="top-center" closeButton={true} />
       <Heading as="h3" className="my-2">
-        {polygon.name.length ? "Edit" : "New"} Motion Mask
+        {polygon.name.length
+          ? t("masksAndZones.motionMasks.edit")
+          : t("masksAndZones.motionMasks.add")}
       </Heading>
       <div className="my-3 space-y-3 text-sm text-muted-foreground">
         <p>
-          Motion masks are used to prevent unwanted types of motion from
-          triggering detection (example: tree branches, camera timestamps).
-          Motion masks should be used <em>very sparingly</em>, over-masking will
-          make it more difficult for objects to be tracked.
+          <Trans ns="views/settings">
+            masksAndZones.motionMasks.context.title
+          </Trans>
         </p>
 
         <div className="flex items-center text-primary">
           <Link
-            to="https://docs.frigate.video/configuration/masks/"
+            to={getLocaleDocUrl("configuration/masks/")}
             target="_blank"
             rel="noopener noreferrer"
             className="inline"
           >
-            Read the documentation{" "}
+            {t("masksAndZones.motionMasks.context.documentation")}{" "}
             <LuExternalLink className="ml-2 inline-flex size-3" />
           </Link>
         </div>
@@ -239,11 +265,9 @@ export default function MotionMaskEditPane({
       {polygons && activePolygonIndex !== undefined && (
         <div className="my-2 flex w-full flex-row justify-between text-sm">
           <div className="my-1 inline-flex">
-            {polygons[activePolygonIndex].points.length}{" "}
-            {polygons[activePolygonIndex].points.length > 1 ||
-            polygons[activePolygonIndex].points.length == 0
-              ? "points"
-              : "point"}
+            {t("masksAndZones.motionMasks.point", {
+              count: polygons[activePolygonIndex].points.length,
+            })}
             {polygons[activePolygonIndex].isFinished && (
               <FaCheckCircle className="ml-2 size-5" />
             )}
@@ -252,11 +276,13 @@ export default function MotionMaskEditPane({
             polygons={polygons}
             setPolygons={setPolygons}
             activePolygonIndex={activePolygonIndex}
+            snapPoints={snapPoints}
+            setSnapPoints={setSnapPoints}
           />
         </div>
       )}
       <div className="mb-3 text-sm text-muted-foreground">
-        Click to draw a polygon on the image.
+        {t("masksAndZones.motionMasks.clickDrawPolygon")}
       </div>
 
       <Separator className="my-3 bg-secondary" />
@@ -264,19 +290,19 @@ export default function MotionMaskEditPane({
       {polygonArea && polygonArea >= 0.35 && (
         <>
           <div className="mb-3 text-sm text-danger">
-            The motion mask is covering {Math.round(polygonArea * 100)}% of the
-            camera frame. Large motion masks are not recommended.
+            {t("masksAndZones.motionMasks.polygonAreaTooLarge.title", {
+              polygonArea: Math.round(polygonArea * 100),
+            })}
           </div>
           <div className="mb-3 text-sm text-primary">
-            Motion masks do not prevent objects from being detected. You should
-            use a required zone instead.
+            {t("masksAndZones.motionMasks.polygonAreaTooLarge.tips")}
             <Link
               to="https://github.com/blakeblackshear/frigate/discussions/13040"
               target="_blank"
               rel="noopener noreferrer"
               className="my-3 block"
             >
-              Read the documentation{" "}
+              {t("masksAndZones.motionMasks.polygonAreaTooLarge.documentation")}{" "}
               <LuExternalLink className="ml-2 inline-flex size-3" />
             </Link>
           </div>
@@ -310,14 +336,14 @@ export default function MotionMaskEditPane({
             <div className="flex flex-row gap-2 pt-5">
               <Button
                 className="flex flex-1"
-                aria-label="Cancel"
+                aria-label={t("button.cancel", { ns: "common" })}
                 onClick={onCancel}
               >
-                Cancel
+                {t("button.cancel", { ns: "common" })}
               </Button>
               <Button
                 variant="select"
-                aria-label="Save"
+                aria-label={t("button.save", { ns: "common" })}
                 disabled={isLoading}
                 className="flex flex-1"
                 type="submit"
@@ -325,10 +351,10 @@ export default function MotionMaskEditPane({
                 {isLoading ? (
                   <div className="flex flex-row items-center gap-2">
                     <ActivityIndicator />
-                    <span>Saving...</span>
+                    <span>{t("button.saving", { ns: "common" })}</span>
                   </div>
                 ) : (
-                  "Save"
+                  t("button.save", { ns: "common" })
                 )}
               </Button>
             </div>
diff --git a/web/src/components/settings/ObjectMaskEditPane.tsx b/web/src/components/settings/ObjectMaskEditPane.tsx
index 44b858183..8fc1b6338 100644
--- a/web/src/components/settings/ObjectMaskEditPane.tsx
+++ b/web/src/components/settings/ObjectMaskEditPane.tsx
@@ -37,7 +37,8 @@ import axios from "axios";
 import { toast } from "sonner";
 import { Toaster } from "../ui/sonner";
 import ActivityIndicator from "../indicators/activity-indicator";
-import { getAttributeLabels } from "@/utils/iconUtil";
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type ObjectMaskEditPaneProps = {
   polygons?: Polygon[];
@@ -49,6 +50,8 @@ type ObjectMaskEditPaneProps = {
   setIsLoading: React.Dispatch<React.SetStateAction<boolean>>;
   onSave?: () => void;
   onCancel?: () => void;
+  snapPoints: boolean;
+  setSnapPoints: React.Dispatch<React.SetStateAction<boolean>>;
 };
 
 export default function ObjectMaskEditPane({
@@ -61,7 +64,10 @@ export default function ObjectMaskEditPane({
   setIsLoading,
   onSave,
   onCancel,
+  snapPoints,
+  setSnapPoints,
 }: ObjectMaskEditPaneProps) {
+  const { t } = useTranslation(["views/settings"]);
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
@@ -94,8 +100,11 @@ export default function ObjectMaskEditPane({
       objectType = objects;
     }
 
-    return `Object Mask ${count + 1} (${objectType})`;
-  }, [polygons, polygon]);
+    return t("masksAndZones.objectMaskLabel", {
+      number: count + 1,
+      label: getTranslatedLabel(objectType),
+    });
+  }, [polygons, polygon, t]);
 
   const formSchema = z
     .object({
@@ -103,7 +112,7 @@ export default function ObjectMaskEditPane({
       polygon: z.object({ isFinished: z.boolean(), name: z.string() }),
     })
     .refine(() => polygon?.isFinished === true, {
-      message: "The polygon drawing must be finished before saving.",
+      message: t("masksAndZones.form.polygonDrawing.error.mustBeFinished"),
       path: ["polygon.isFinished"],
     });
 
@@ -191,22 +200,41 @@ export default function ObjectMaskEditPane({
         .then((res) => {
           if (res.status === 200) {
             toast.success(
-              `${polygon.name || "Object Mask"} has been saved. Restart Frigate to apply changes.`,
+              polygon.name
+                ? t("masksAndZones.objectMasks.toast.success.title", {
+                    polygonName: polygon.name,
+                  })
+                : t("masksAndZones.objectMasks.toast.success.noName"),
               {
                 position: "top-center",
               },
             );
             updateConfig();
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
@@ -220,6 +248,7 @@ export default function ObjectMaskEditPane({
       scaledHeight,
       setIsLoading,
       cameraConfig,
+      t,
     ],
   );
 
@@ -236,8 +265,8 @@ export default function ObjectMaskEditPane({
   }
 
   useEffect(() => {
-    document.title = "Edit Object Mask - Frigate";
-  }, []);
+    document.title = t("masksAndZones.objectMasks.documentTitle");
+  }, [t]);
 
   if (!polygon) {
     return;
@@ -247,23 +276,20 @@ export default function ObjectMaskEditPane({
     <>
       <Toaster position="top-center" closeButton={true} />
       <Heading as="h3" className="my-2">
-        {polygon.name.length ? "Edit" : "New"} Object Mask
+        {polygon.name.length
+          ? t("masksAndZones.objectMasks.edit")
+          : t("masksAndZones.objectMasks.add")}
       </Heading>
       <div className="my-2 text-sm text-muted-foreground">
-        <p>
-          Object filter masks are used to filter out false positives for a given
-          object type based on location.
-        </p>
+        <p>{t("masksAndZones.objectMasks.context")}</p>
       </div>
       <Separator className="my-3 bg-secondary" />
       {polygons && activePolygonIndex !== undefined && (
         <div className="my-2 flex w-full flex-row justify-between text-sm">
           <div className="my-1 inline-flex">
-            {polygons[activePolygonIndex].points.length}{" "}
-            {polygons[activePolygonIndex].points.length > 1 ||
-            polygons[activePolygonIndex].points.length == 0
-              ? "points"
-              : "point"}
+            {t("masksAndZones.objectMasks.point", {
+              count: polygons[activePolygonIndex].points.length,
+            })}
             {polygons[activePolygonIndex].isFinished && (
               <FaCheckCircle className="ml-2 size-5" />
             )}
@@ -272,11 +298,13 @@ export default function ObjectMaskEditPane({
             polygons={polygons}
             setPolygons={setPolygons}
             activePolygonIndex={activePolygonIndex}
+            snapPoints={snapPoints}
+            setSnapPoints={setSnapPoints}
           />
         </div>
       )}
       <div className="mb-3 text-sm text-muted-foreground">
-        Click to draw a polygon on the image.
+        {t("masksAndZones.objectMasks.clickDrawPolygon")}
       </div>
 
       <Separator className="my-3 bg-secondary" />
@@ -301,7 +329,9 @@ export default function ObjectMaskEditPane({
               name="objects"
               render={({ field }) => (
                 <FormItem>
-                  <FormLabel>Objects</FormLabel>
+                  <FormLabel>
+                    {t("masksAndZones.objectMasks.objects.title")}
+                  </FormLabel>
                   <Select
                     onValueChange={field.onChange}
                     defaultValue={field.value}
@@ -317,7 +347,7 @@ export default function ObjectMaskEditPane({
                     </SelectContent>
                   </Select>
                   <FormDescription>
-                    The object type that that applies to this object mask.
+                    {t("masksAndZones.objectMasks.objects.desc")}
                   </FormDescription>
                   <FormMessage />
                 </FormItem>
@@ -337,25 +367,25 @@ export default function ObjectMaskEditPane({
             <div className="flex flex-row gap-2 pt-5">
               <Button
                 className="flex flex-1"
-                aria-label="Cancel"
+                aria-label={t("button.cancel", { ns: "common" })}
                 onClick={onCancel}
               >
-                Cancel
+                {t("button.cancel", { ns: "common" })}
               </Button>
               <Button
                 variant="select"
                 disabled={isLoading}
                 className="flex flex-1"
-                aria-label="Save"
+                aria-label={t("button.save", { ns: "common" })}
                 type="submit"
               >
                 {isLoading ? (
                   <div className="flex flex-row items-center gap-2">
                     <ActivityIndicator />
-                    <span>Saving...</span>
+                    <span>{t("button.saving", { ns: "common" })}</span>
                   </div>
                 ) : (
-                  "Save"
+                  t("button.save", { ns: "common" })
                 )}
               </Button>
             </div>
@@ -371,16 +401,9 @@ type ZoneObjectSelectorProps = {
 };
 
 export function ZoneObjectSelector({ camera }: ZoneObjectSelectorProps) {
+  const { t } = useTranslation(["views/settings"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  const attributeLabels = useMemo(() => {
-    if (!config) {
-      return [];
-    }
-
-    return getAttributeLabels(config);
-  }, [config]);
-
   const cameraConfig = useMemo(() => {
     if (config && camera) {
       return config.cameras[camera];
@@ -396,29 +419,27 @@ export function ZoneObjectSelector({ camera }: ZoneObjectSelectorProps) {
 
     Object.values(config.cameras).forEach((camera) => {
       camera.objects.track.forEach((label) => {
-        if (!attributeLabels.includes(label)) {
-          labels.add(label);
-        }
+        labels.add(label);
       });
     });
 
     cameraConfig.objects.track.forEach((label) => {
-      if (!attributeLabels.includes(label)) {
-        labels.add(label);
-      }
+      labels.add(label);
     });
 
     return [...labels].sort();
-  }, [config, cameraConfig, attributeLabels]);
+  }, [config, cameraConfig]);
 
   return (
     <>
       <SelectGroup>
-        <SelectItem value="all_labels">All object types</SelectItem>
+        <SelectItem value="all_labels">
+          {t("masksAndZones.objectMasks.objects.allObjectTypes")}
+        </SelectItem>
         <SelectSeparator className="bg-secondary" />
         {allLabels.map((item) => (
           <SelectItem key={item} value={item}>
-            {item.replaceAll("_", " ").charAt(0).toUpperCase() + item.slice(1)}
+            {getTranslatedLabel(item)}
           </SelectItem>
         ))}
       </SelectGroup>
diff --git a/web/src/components/settings/PolygonCanvas.tsx b/web/src/components/settings/PolygonCanvas.tsx
index e6851b63c..9adc2f09e 100644
--- a/web/src/components/settings/PolygonCanvas.tsx
+++ b/web/src/components/settings/PolygonCanvas.tsx
@@ -6,6 +6,7 @@ import type { KonvaEventObject } from "konva/lib/Node";
 import { Polygon, PolygonType } from "@/types/canvas";
 import { useApiHost } from "@/api";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { snapPointToLines } from "@/utils/canvasUtil";
 
 type PolygonCanvasProps = {
   containerRef: RefObject<HTMLDivElement>;
@@ -17,6 +18,8 @@ type PolygonCanvasProps = {
   activePolygonIndex: number | undefined;
   hoveredPolygonIndex: number | null;
   selectedZoneMask: PolygonType[] | undefined;
+  activeLine?: number;
+  snapPoints: boolean;
 };
 
 export function PolygonCanvas({
@@ -29,6 +32,8 @@ export function PolygonCanvas({
   activePolygonIndex,
   hoveredPolygonIndex,
   selectedZoneMask,
+  activeLine,
+  snapPoints,
 }: PolygonCanvasProps) {
   const [isLoaded, setIsLoaded] = useState(false);
   const [image, setImage] = useState<HTMLImageElement | undefined>();
@@ -154,9 +159,23 @@ export function PolygonCanvas({
           intersection?.getClassName() !== "Circle") ||
         (activePolygon.isFinished && intersection?.name() == "unfilled-line")
       ) {
+        let newPoint = [mousePos.x, mousePos.y];
+
+        if (snapPoints) {
+          // Snap to other polygons' edges
+          const otherPolygons = polygons.filter(
+            (_, i) => i !== activePolygonIndex,
+          );
+          const snappedPos = snapPointToLines(newPoint, otherPolygons, 10);
+
+          if (snappedPos) {
+            newPoint = snappedPos;
+          }
+        }
+
         const { updatedPoints, updatedPointsOrder } = addPointToPolygon(
           activePolygon,
-          [mousePos.x, mousePos.y],
+          newPoint,
         );
 
         updatedPolygons[activePolygonIndex] = {
@@ -182,11 +201,24 @@ export function PolygonCanvas({
     if (stage) {
       // we add an unfilled line for adding points when finished
       const index = e.target.index - (activePolygon.isFinished ? 2 : 1);
-      const pos = [e.target._lastPos!.x, e.target._lastPos!.y];
-      if (pos[0] < 0) pos[0] = 0;
-      if (pos[1] < 0) pos[1] = 0;
-      if (pos[0] > stage.width()) pos[0] = stage.width();
-      if (pos[1] > stage.height()) pos[1] = stage.height();
+      let pos = [e.target._lastPos!.x, e.target._lastPos!.y];
+
+      if (snapPoints) {
+        // Snap to other polygons' edges
+        const otherPolygons = polygons.filter(
+          (_, i) => i !== activePolygonIndex,
+        );
+        const snappedPos = snapPointToLines(pos, otherPolygons, 10); // 10 is the snap threshold
+
+        if (snappedPos) {
+          pos = snappedPos;
+        }
+      }
+
+      // Constrain to stage boundaries
+      pos[0] = Math.max(0, Math.min(pos[0], stage.width()));
+      pos[1] = Math.max(0, Math.min(pos[1], stage.height()));
+
       updatedPolygons[activePolygonIndex] = {
         ...activePolygon,
         points: [
@@ -281,12 +313,24 @@ export function PolygonCanvas({
                 stageRef={stageRef}
                 key={index}
                 points={polygon.points}
+                distances={polygon.distances}
                 isActive={index === activePolygonIndex}
                 isHovered={index === hoveredPolygonIndex}
                 isFinished={polygon.isFinished}
                 color={polygon.color}
                 handlePointDragMove={handlePointDragMove}
                 handleGroupDragEnd={handleGroupDragEnd}
+                activeLine={activeLine}
+                snapPoints={snapPoints}
+                snapToLines={(point) =>
+                  snapPoints
+                    ? snapPointToLines(
+                        point,
+                        polygons.filter((_, i) => i !== index),
+                        10,
+                      )
+                    : null
+                }
               />
             ),
         )}
@@ -298,12 +342,24 @@ export function PolygonCanvas({
               stageRef={stageRef}
               key={activePolygonIndex}
               points={polygons[activePolygonIndex].points}
+              distances={polygons[activePolygonIndex].distances}
               isActive={true}
               isHovered={activePolygonIndex === hoveredPolygonIndex}
               isFinished={polygons[activePolygonIndex].isFinished}
               color={polygons[activePolygonIndex].color}
               handlePointDragMove={handlePointDragMove}
               handleGroupDragEnd={handleGroupDragEnd}
+              activeLine={activeLine}
+              snapPoints={snapPoints}
+              snapToLines={(point) =>
+                snapPoints
+                  ? snapPointToLines(
+                      point,
+                      polygons.filter((_, i) => i !== activePolygonIndex),
+                      10,
+                    )
+                  : null
+              }
             />
           )}
       </Layer>
diff --git a/web/src/components/settings/PolygonDrawer.tsx b/web/src/components/settings/PolygonDrawer.tsx
index 966aad2ca..9cc5649a6 100644
--- a/web/src/components/settings/PolygonDrawer.tsx
+++ b/web/src/components/settings/PolygonDrawer.tsx
@@ -6,7 +6,7 @@ import {
   useRef,
   useState,
 } from "react";
-import { Line, Circle, Group } from "react-konva";
+import { Line, Circle, Group, Text, Rect } from "react-konva";
 import {
   minMax,
   toRGBColorString,
@@ -20,23 +20,31 @@ import { Vector2d } from "konva/lib/types";
 type PolygonDrawerProps = {
   stageRef: RefObject<Konva.Stage>;
   points: number[][];
+  distances: number[];
   isActive: boolean;
   isHovered: boolean;
   isFinished: boolean;
   color: number[];
   handlePointDragMove: (e: KonvaEventObject<MouseEvent | TouchEvent>) => void;
   handleGroupDragEnd: (e: KonvaEventObject<MouseEvent | TouchEvent>) => void;
+  activeLine?: number;
+  snapToLines: (point: number[]) => number[] | null;
+  snapPoints: boolean;
 };
 
 export default function PolygonDrawer({
   stageRef,
   points,
+  distances,
   isActive,
   isHovered,
   isFinished,
   color,
   handlePointDragMove,
   handleGroupDragEnd,
+  activeLine,
+  snapToLines,
+  snapPoints,
 }: PolygonDrawerProps) {
   const vertexRadius = 6;
   const flattenedPoints = useMemo(() => flattenPoints(points), [points]);
@@ -113,6 +121,33 @@ export default function PolygonDrawer({
     stageRef.current.container().style.cursor = cursor;
   }, [stageRef, cursor]);
 
+  // Calculate midpoints for distance labels based on sorted points
+  const midpoints = useMemo(() => {
+    const midpointsArray = [];
+    for (let i = 0; i < points.length; i++) {
+      const p1 = points[i];
+      const p2 = points[(i + 1) % points.length];
+      const midpointX = (p1[0] + p2[0]) / 2;
+      const midpointY = (p1[1] + p2[1]) / 2;
+      midpointsArray.push([midpointX, midpointY]);
+    }
+    return midpointsArray;
+  }, [points]);
+
+  // Determine the points for the active line
+  const activeLinePoints = useMemo(() => {
+    if (
+      activeLine === undefined ||
+      activeLine < 1 ||
+      activeLine > points.length
+    ) {
+      return [];
+    }
+    const p1 = points[activeLine - 1];
+    const p2 = points[activeLine % points.length];
+    return [p1[0], p1[1], p2[0], p2[1]];
+  }, [activeLine, points]);
+
   return (
     <Group
       name="polygon"
@@ -158,6 +193,14 @@ export default function PolygonDrawer({
           }
         />
       )}
+      {isActive && activeLinePoints.length > 0 && (
+        <Line
+          points={activeLinePoints}
+          stroke="white"
+          strokeWidth={6}
+          hitStrokeWidth={12}
+        />
+      )}
       {points.map((point, index) => {
         if (!isActive) {
           return;
@@ -179,15 +222,32 @@ export default function PolygonDrawer({
             onMouseOver={handleMouseOverPoint}
             onMouseOut={handleMouseOutPoint}
             draggable={isActive}
-            onDragMove={isActive ? handlePointDragMove : undefined}
+            onDragMove={(e) => {
+              if (isActive) {
+                if (snapPoints) {
+                  const snappedPos = snapToLines([e.target.x(), e.target.y()]);
+                  if (snappedPos) {
+                    e.target.position({ x: snappedPos[0], y: snappedPos[1] });
+                  }
+                }
+                handlePointDragMove(e);
+              }
+            }}
             dragBoundFunc={(pos) => {
               if (stageRef.current) {
-                return dragBoundFunc(
+                const boundPos = dragBoundFunc(
                   stageRef.current.width(),
                   stageRef.current.height(),
                   vertexRadius,
                   pos,
                 );
+                if (snapPoints) {
+                  const snappedPos = snapToLines([boundPos.x, boundPos.y]);
+                  return snappedPos
+                    ? { x: snappedPos[0], y: snappedPos[1] }
+                    : boundPos;
+                }
+                return boundPos;
               } else {
                 return pos;
               }
@@ -195,6 +255,43 @@ export default function PolygonDrawer({
           />
         );
       })}
+      {isFinished && (
+        <Group>
+          {midpoints.map((midpoint, index) => {
+            const [x, y] = midpoint;
+            const distance = distances[index];
+            if (distance === undefined) return null;
+
+            const squareSize = 22;
+
+            return (
+              <Group
+                key={`distance-group-${index}`}
+                x={x - squareSize / 2}
+                y={y - squareSize / 2}
+              >
+                <Rect
+                  width={squareSize}
+                  height={squareSize}
+                  fill={colorString(true)}
+                  stroke="white"
+                  strokeWidth={1}
+                />
+                <Text
+                  text={`${distance}`}
+                  width={squareSize}
+                  y={4}
+                  fontSize={16}
+                  fontFamily="Arial"
+                  fill="white"
+                  align="center"
+                  verticalAlign="middle"
+                />
+              </Group>
+            );
+          })}
+        </Group>
+      )}
     </Group>
   );
 }
diff --git a/web/src/components/settings/PolygonEditControls.tsx b/web/src/components/settings/PolygonEditControls.tsx
index 55017e3bb..4f6ab7be6 100644
--- a/web/src/components/settings/PolygonEditControls.tsx
+++ b/web/src/components/settings/PolygonEditControls.tsx
@@ -2,18 +2,26 @@ import { Polygon } from "@/types/canvas";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import { MdOutlineRestartAlt, MdUndo } from "react-icons/md";
 import { Button } from "../ui/button";
+import { TbPolygon, TbPolygonOff } from "react-icons/tb";
+import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type PolygonEditControlsProps = {
   polygons: Polygon[];
   setPolygons: React.Dispatch<React.SetStateAction<Polygon[]>>;
   activePolygonIndex: number | undefined;
+  snapPoints: boolean;
+  setSnapPoints: React.Dispatch<React.SetStateAction<boolean>>;
 };
 
 export default function PolygonEditControls({
   polygons,
   setPolygons,
   activePolygonIndex,
+  snapPoints,
+  setSnapPoints,
 }: PolygonEditControlsProps) {
+  const { t } = useTranslation(["views/settings"]);
   const undo = () => {
     if (activePolygonIndex === undefined || !polygons) {
       return;
@@ -74,28 +82,51 @@ export default function PolygonEditControls({
           <Button
             variant="default"
             className="size-6 rounded-md p-1"
-            aria-label="Remove last point"
+            aria-label={t("masksAndZones.form.polygonDrawing.removeLastPoint")}
             disabled={!polygons[activePolygonIndex].points.length}
             onClick={undo}
           >
             <MdUndo className="text-secondary-foreground" />
           </Button>
         </TooltipTrigger>
-        <TooltipContent>Remove last point</TooltipContent>
+        <TooltipContent>
+          {t("masksAndZones.form.polygonDrawing.removeLastPoint")}
+        </TooltipContent>
       </Tooltip>
       <Tooltip>
         <TooltipTrigger asChild>
           <Button
             variant="default"
             className="size-6 rounded-md p-1"
-            aria-label="Clear all points"
+            aria-label={t("masksAndZones.form.polygonDrawing.reset.label")}
             disabled={!polygons[activePolygonIndex].points.length}
             onClick={reset}
           >
             <MdOutlineRestartAlt className="text-secondary-foreground" />
           </Button>
         </TooltipTrigger>
-        <TooltipContent>Reset</TooltipContent>
+        <TooltipContent>{t("button.reset", { ns: "common" })}</TooltipContent>
+      </Tooltip>
+      <Tooltip>
+        <TooltipTrigger asChild>
+          <Button
+            variant={snapPoints ? "select" : "default"}
+            className={cn("size-6 rounded-md p-1")}
+            aria-label={t("masksAndZones.form.polygonDrawing.snapPoints.true")}
+            onClick={() => setSnapPoints((prev) => !prev)}
+          >
+            {snapPoints ? (
+              <TbPolygon className="text-primary" />
+            ) : (
+              <TbPolygonOff className="text-secondary-foreground" />
+            )}
+          </Button>
+        </TooltipTrigger>
+        <TooltipContent>
+          {snapPoints
+            ? t("masksAndZones.form.polygonDrawing.snapPoints.false")
+            : t("masksAndZones.form.polygonDrawing.snapPoints.true")}
+        </TooltipContent>
       </Tooltip>
     </div>
   );
diff --git a/web/src/components/settings/PolygonItem.tsx b/web/src/components/settings/PolygonItem.tsx
index 707df7a8f..e58f02e1d 100644
--- a/web/src/components/settings/PolygonItem.tsx
+++ b/web/src/components/settings/PolygonItem.tsx
@@ -36,6 +36,7 @@ import { reviewQueries } from "@/utils/zoneEdutUtil";
 import IconWrapper from "../ui/icon-wrapper";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import { buttonVariants } from "../ui/button";
+import { Trans, useTranslation } from "react-i18next";
 
 type PolygonItemProps = {
   polygon: Polygon;
@@ -56,6 +57,7 @@ export default function PolygonItem({
   setEditPane,
   handleCopyCoordinates,
 }: PolygonItemProps) {
+  const { t } = useTranslation("views/settings");
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
@@ -175,27 +177,44 @@ export default function PolygonItem({
         .put(`config/set?${url}`, { requires_restart: 0 })
         .then((res) => {
           if (res.status === 200) {
-            toast.success(`${polygon?.name} has been deleted.`, {
-              position: "top-center",
-            });
+            toast.success(
+              t("masksAndZones.form.polygonDrawing.delete.success", {
+                name: polygon?.name,
+              }),
+              {
+                position: "top-center",
+              },
+            );
             updateConfig();
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                ns: "common",
+                errorMessage: res.statusText,
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", { errorMessage, ns: "common" }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
           setIsLoading(false);
         });
     },
-    [updateConfig, cameraConfig],
+    [updateConfig, cameraConfig, t],
   );
 
   const handleDelete = () => {
@@ -203,7 +222,7 @@ export default function PolygonItem({
     saveToConfig(polygon);
     addMessage(
       "masks_zones",
-      "Restart required (masks/zones changed)",
+      t("masksAndZones.restart_required"),
       undefined,
       "masks_zones",
     );
@@ -250,19 +269,30 @@ export default function PolygonItem({
         >
           <AlertDialogContent>
             <AlertDialogHeader>
-              <AlertDialogTitle>Confirm Delete</AlertDialogTitle>
+              <AlertDialogTitle>
+                {t("masksAndZones.form.polygonDrawing.delete.title")}
+              </AlertDialogTitle>
             </AlertDialogHeader>
             <AlertDialogDescription>
-              Are you sure you want to delete the{" "}
-              {polygon.type.replace("_", " ")} <em>{polygon.name}</em>?
+              <Trans
+                ns="views/settings"
+                values={{
+                  type: polygon.type.replace("_", " "),
+                  name: polygon.name,
+                }}
+              >
+                masksAndZones.form.polygonDrawing.delete.desc
+              </Trans>
             </AlertDialogDescription>
             <AlertDialogFooter>
-              <AlertDialogCancel>Cancel</AlertDialogCancel>
+              <AlertDialogCancel>
+                {t("button.cancel", { ns: "common" })}
+              </AlertDialogCancel>
               <AlertDialogAction
                 className={buttonVariants({ variant: "destructive" })}
                 onClick={handleDelete}
               >
-                Delete
+                {t("button.delete", { ns: "common" })}
               </AlertDialogAction>
             </AlertDialogFooter>
           </AlertDialogContent>
@@ -276,26 +306,26 @@ export default function PolygonItem({
               </DropdownMenuTrigger>
               <DropdownMenuContent>
                 <DropdownMenuItem
-                  aria-label="Edit"
+                  aria-label={t("button.edit", { ns: "common" })}
                   onClick={() => {
                     setActivePolygonIndex(index);
                     setEditPane(polygon.type);
                   }}
                 >
-                  Edit
+                  {t("button.edit", { ns: "common" })}
                 </DropdownMenuItem>
                 <DropdownMenuItem
-                  aria-label="Copy"
+                  aria-label={t("button.copy", { ns: "common" })}
                   onClick={() => handleCopyCoordinates(index)}
                 >
-                  Copy
+                  {t("button.copy", { ns: "common" })}
                 </DropdownMenuItem>
                 <DropdownMenuItem
-                  aria-label="Delete"
+                  aria-label={t("button.delete", { ns: "common" })}
                   disabled={isLoading}
                   onClick={() => setDeleteDialogOpen(true)}
                 >
-                  Delete
+                  {t("button.delete", { ns: "common" })}
                 </DropdownMenuItem>
               </DropdownMenuContent>
             </DropdownMenu>
@@ -314,7 +344,9 @@ export default function PolygonItem({
                   }}
                 />
               </TooltipTrigger>
-              <TooltipContent>Edit</TooltipContent>
+              <TooltipContent>
+                {t("button.edit", { ns: "common" })}
+              </TooltipContent>
             </Tooltip>
 
             <Tooltip>
@@ -327,7 +359,9 @@ export default function PolygonItem({
                   onClick={() => handleCopyCoordinates(index)}
                 />
               </TooltipTrigger>
-              <TooltipContent>Copy coordinates</TooltipContent>
+              <TooltipContent>
+                {t("button.copyCoordinates", { ns: "common" })}
+              </TooltipContent>
             </Tooltip>
 
             <Tooltip>
@@ -341,7 +375,9 @@ export default function PolygonItem({
                   onClick={() => !isLoading && setDeleteDialogOpen(true)}
                 />
               </TooltipTrigger>
-              <TooltipContent>Delete</TooltipContent>
+              <TooltipContent>
+                {t("button.delete", { ns: "common" })}
+              </TooltipContent>
             </Tooltip>
           </div>
         )}
diff --git a/web/src/components/settings/SearchSettings.tsx b/web/src/components/settings/SearchSettings.tsx
index 788072ff1..74301ee1d 100644
--- a/web/src/components/settings/SearchSettings.tsx
+++ b/web/src/components/settings/SearchSettings.tsx
@@ -17,8 +17,9 @@ import FilterSwitch from "../filter/FilterSwitch";
 import { SearchFilter, SearchSource } from "@/types/search";
 import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
+import { useTranslation } from "react-i18next";
 
-type SearchSettingsProps = {
+type ExploreSettingsProps = {
   className?: string;
   columns: number;
   defaultView: string;
@@ -27,7 +28,7 @@ type SearchSettingsProps = {
   setDefaultView: (view: string) => void;
   onUpdateFilter: (filter: SearchFilter) => void;
 };
-export default function SearchSettings({
+export default function ExploreSettings({
   className,
   columns,
   setColumns,
@@ -35,7 +36,8 @@ export default function SearchSettings({
   filter,
   setDefaultView,
   onUpdateFilter,
-}: SearchSettingsProps) {
+}: ExploreSettingsProps) {
+  const { t } = useTranslation(["components/filter"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const [open, setOpen] = useState(false);
 
@@ -46,21 +48,22 @@ export default function SearchSettings({
   const trigger = (
     <Button
       className="flex items-center gap-2"
-      aria-label="Explore Settings"
+      aria-label={t("explore.settings.title")}
       size="sm"
     >
       <FaCog className="text-secondary-foreground" />
-      Settings
+      {t("explore.settings.title")}
     </Button>
   );
   const content = (
     <div className={cn(className, "my-3 space-y-5 py-3 md:mt-0 md:py-0")}>
       <div className="space-y-4">
         <div className="space-y-0.5">
-          <div className="text-md">Default View</div>
+          <div className="text-md">
+            {t("explore.settings.defaultView.title")}
+          </div>
           <div className="space-y-1 text-xs text-muted-foreground">
-            When no filters are selected, display a summary of the most recent
-            tracked objects per label, or display an unfiltered grid.
+            {t("explore.settings.defaultView.desc")}
           </div>
         </div>
         <Select
@@ -68,7 +71,9 @@ export default function SearchSettings({
           onValueChange={(value) => setDefaultView(value)}
         >
           <SelectTrigger className="w-full">
-            {defaultView == "summary" ? "Summary" : "Unfiltered Grid"}
+            {defaultView == "summary"
+              ? t("explore.settings.defaultView.summary")
+              : t("explore.settings.defaultView.unfilteredGrid")}
           </SelectTrigger>
           <SelectContent>
             <SelectGroup>
@@ -78,7 +83,9 @@ export default function SearchSettings({
                   className="cursor-pointer"
                   value={value}
                 >
-                  {value == "summary" ? "Summary" : "Unfiltered Grid"}
+                  {value == "summary"
+                    ? t("explore.settings.defaultView.summary")
+                    : t("explore.settings.defaultView.unfilteredGrid")}
                 </SelectItem>
               ))}
             </SelectGroup>
@@ -90,9 +97,11 @@ export default function SearchSettings({
           <DropdownMenuSeparator />
           <div className="flex w-full flex-col space-y-4">
             <div className="space-y-0.5">
-              <div className="text-md">Grid Columns</div>
+              <div className="text-md">
+                {t("explore.settings.gridColumns.title")}
+              </div>
               <div className="space-y-1 text-xs text-muted-foreground">
-                Select the number of columns in the grid view.
+                {t("explore.settings.gridColumns.desc")}
               </div>
             </div>
             <div className="flex items-center space-x-4">
@@ -148,20 +157,22 @@ export function SearchTypeContent({
   searchSources,
   setSearchSources,
 }: SearchTypeContentProps) {
+  const { t } = useTranslation(["components/filter"]);
   return (
     <>
       <div className="overflow-x-hidden">
         <DropdownMenuSeparator className="mb-3" />
         <div className="space-y-0.5">
-          <div className="text-md">Search Source</div>
+          <div className="text-md">
+            {t("explore.settings.searchSource.label")}
+          </div>
           <div className="space-y-1 text-xs text-muted-foreground">
-            Choose whether to search the thumbnails or descriptions of your
-            tracked objects.
+            {t("explore.settings.searchSource.desc")}
           </div>
         </div>
         <div className="mt-2.5 flex flex-col gap-2.5">
           <FilterSwitch
-            label="Thumbnail Image"
+            label={t("explore.settings.searchSource.options.thumbnailImage")}
             isChecked={searchSources?.includes("thumbnail") ?? false}
             onCheckedChange={(isChecked) => {
               const updatedSources = searchSources ? [...searchSources] : [];
@@ -179,7 +190,7 @@ export function SearchTypeContent({
             }}
           />
           <FilterSwitch
-            label="Description"
+            label={t("explore.settings.searchSource.options.description")}
             isChecked={searchSources?.includes("description") ?? false}
             onCheckedChange={(isChecked) => {
               const updatedSources = searchSources ? [...searchSources] : [];
diff --git a/web/src/components/settings/ZoneEditPane.tsx b/web/src/components/settings/ZoneEditPane.tsx
index 54799db72..bc93fa781 100644
--- a/web/src/components/settings/ZoneEditPane.tsx
+++ b/web/src/components/settings/ZoneEditPane.tsx
@@ -29,6 +29,11 @@ import { toast } from "sonner";
 import { flattenPoints, interpolatePoints } from "@/utils/canvasUtil";
 import ActivityIndicator from "../indicators/activity-indicator";
 import { getAttributeLabels } from "@/utils/iconUtil";
+import { Trans, useTranslation } from "react-i18next";
+import { Link } from "react-router-dom";
+import { LuExternalLink } from "react-icons/lu";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type ZoneEditPaneProps = {
   polygons?: Polygon[];
@@ -40,6 +45,9 @@ type ZoneEditPaneProps = {
   setIsLoading: React.Dispatch<React.SetStateAction<boolean>>;
   onSave?: () => void;
   onCancel?: () => void;
+  setActiveLine: React.Dispatch<React.SetStateAction<number | undefined>>;
+  snapPoints: boolean;
+  setSnapPoints: React.Dispatch<React.SetStateAction<boolean>>;
 };
 
 export default function ZoneEditPane({
@@ -52,7 +60,12 @@ export default function ZoneEditPane({
   setIsLoading,
   onSave,
   onCancel,
+  setActiveLine,
+  snapPoints,
+  setSnapPoints,
 }: ZoneEditPaneProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
@@ -62,7 +75,7 @@ export default function ZoneEditPane({
     }
 
     return Object.values(config.cameras)
-      .filter((conf) => conf.ui.dashboard && conf.enabled)
+      .filter((conf) => conf.ui.dashboard && conf.enabled_in_config)
       .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
   }, [config]);
 
@@ -80,69 +93,153 @@ export default function ZoneEditPane({
     }
   }, [polygon, config]);
 
-  const formSchema = z.object({
-    name: z
-      .string()
-      .min(2, {
-        message: "Zone name must be at least 2 characters.",
-      })
-      .transform((val: string) => val.trim().replace(/\s+/g, "_"))
-      .refine(
-        (value: string) => {
-          return !cameras.map((cam) => cam.name).includes(value);
-        },
-        {
-          message: "Zone name must not be the name of a camera.",
-        },
-      )
-      .refine(
-        (value: string) => {
-          const otherPolygonNames =
-            polygons
-              ?.filter((_, index) => index !== activePolygonIndex)
-              .map((polygon) => polygon.name) || [];
+  const [lineA, lineB, lineC, lineD] = useMemo(() => {
+    const distances =
+      polygon?.camera &&
+      polygon?.name &&
+      config?.cameras[polygon.camera]?.zones[polygon.name]?.distances;
 
-          return !otherPolygonNames.includes(value);
-        },
-        {
-          message: "Zone name already exists on this camera.",
-        },
-      )
-      .refine(
-        (value: string) => {
-          return !value.includes(".");
-        },
-        {
-          message: "Zone name must not contain a period.",
-        },
-      )
-      .refine((value: string) => /^[a-zA-Z0-9_-]+$/.test(value), {
-        message: "Zone name has an illegal character.",
+    return Array.isArray(distances)
+      ? distances.map((value) => parseFloat(value) || 0)
+      : [undefined, undefined, undefined, undefined];
+  }, [polygon, config]);
+
+  const formSchema = z
+    .object({
+      name: z
+        .string()
+        .min(2, {
+          message: t(
+            "masksAndZones.form.zoneName.error.mustBeAtLeastTwoCharacters",
+          ),
+        })
+        .transform((val: string) => val.trim().replace(/\s+/g, "_"))
+        .refine(
+          (value: string) => {
+            return !cameras.map((cam) => cam.name).includes(value);
+          },
+          {
+            message: t(
+              "masksAndZones.form.zoneName.error.mustNotBeSameWithCamera",
+            ),
+          },
+        )
+        .refine(
+          (value: string) => {
+            const otherPolygonNames =
+              polygons
+                ?.filter((_, index) => index !== activePolygonIndex)
+                .map((polygon) => polygon.name) || [];
+
+            return !otherPolygonNames.includes(value);
+          },
+          {
+            message: t("masksAndZones.form.zoneName.error.alreadyExists"),
+          },
+        )
+        .refine(
+          (value: string) => {
+            return !value.includes(".");
+          },
+          {
+            message: t(
+              "masksAndZones.form.zoneName.error.mustNotContainPeriod",
+            ),
+          },
+        )
+        .refine((value: string) => /^[a-zA-Z0-9_-]+$/.test(value), {
+          message: t("masksAndZones.form.zoneName.error.hasIllegalCharacter"),
+        }),
+      inertia: z.coerce
+        .number()
+        .min(1, {
+          message: t("masksAndZones.form.inertia.error.mustBeAboveZero"),
+        })
+        .or(z.literal("")),
+      loitering_time: z.coerce
+        .number()
+        .min(0, {
+          message: t(
+            "masksAndZones.form.loiteringTime.error.mustBeGreaterOrEqualZero",
+          ),
+        })
+        .optional()
+        .or(z.literal("")),
+      isFinished: z.boolean().refine(() => polygon?.isFinished === true, {
+        message: t("masksAndZones.form.polygonDrawing.error.mustBeFinished"),
       }),
-    inertia: z.coerce
-      .number()
-      .min(1, {
-        message: "Inertia must be above 0.",
-      })
-      .or(z.literal("")),
-    loitering_time: z.coerce
-      .number()
-      .min(0, {
-        message: "Loitering time must be greater than or equal to 0.",
-      })
-      .optional()
-      .or(z.literal("")),
-    isFinished: z.boolean().refine(() => polygon?.isFinished === true, {
-      message: "The polygon drawing must be finished before saving.",
-    }),
-    objects: z.array(z.string()).optional(),
-    review_alerts: z.boolean().default(false).optional(),
-    review_detections: z.boolean().default(false).optional(),
-  });
+      objects: z.array(z.string()).optional(),
+      review_alerts: z.boolean().default(false).optional(),
+      review_detections: z.boolean().default(false).optional(),
+      speedEstimation: z.boolean().default(false),
+      lineA: z.coerce
+        .number()
+        .min(0.1, {
+          message: t("masksAndZones.form.distance.error.text"),
+        })
+        .optional()
+        .or(z.literal("")),
+      lineB: z.coerce
+        .number()
+        .min(0.1, {
+          message: t("masksAndZones.form.distance.error.text"),
+        })
+        .optional()
+        .or(z.literal("")),
+      lineC: z.coerce
+        .number()
+        .min(0.1, {
+          message: t("masksAndZones.form.distance.error.text"),
+        })
+        .optional()
+        .or(z.literal("")),
+      lineD: z.coerce
+        .number()
+        .min(0.1, {
+          message: t("masksAndZones.form.distance.error.text"),
+        })
+        .optional()
+        .or(z.literal("")),
+      speed_threshold: z.coerce
+        .number()
+        .min(0.1, {
+          message: t("masksAndZones.form.speed.error.mustBeGreaterOrEqualTo"),
+        })
+        .optional()
+        .or(z.literal("")),
+    })
+    .refine(
+      (data) => {
+        if (data.speedEstimation) {
+          return !!data.lineA && !!data.lineB && !!data.lineC && !!data.lineD;
+        }
+        return true;
+      },
+      {
+        message: t("masksAndZones.form.distance.error.mustBeFilled"),
+        path: ["speedEstimation"],
+      },
+    )
+    .refine(
+      (data) => {
+        // Prevent speed estimation when loitering_time is greater than 0
+        return !(
+          data.speedEstimation &&
+          data.loitering_time &&
+          data.loitering_time > 0
+        );
+      },
+      {
+        message: t(
+          "masksAndZones.zones.speedThreshold.toast.error.loiteringTimeError",
+        ),
+        path: ["loitering_time"],
+      },
+    );
 
   const form = useForm<z.infer<typeof formSchema>>({
     resolver: zodResolver(formSchema),
-    mode: "onChange",
+    mode: "onBlur",
     defaultValues: {
       name: polygon?.name ?? "",
       inertia:
@@ -155,9 +252,31 @@ export default function ZoneEditPane({
         config?.cameras[polygon.camera]?.zones[polygon.name]?.loitering_time,
       isFinished: polygon?.isFinished ?? false,
       objects: polygon?.objects ?? [],
+      speedEstimation: !!(lineA || lineB || lineC || lineD),
+      lineA,
+      lineB,
+      lineC,
+      lineD,
+      speed_threshold:
+        polygon?.camera &&
+        polygon?.name &&
+        config?.cameras[polygon.camera]?.zones[polygon.name]?.speed_threshold,
     },
   });
 
+  useEffect(() => {
+    if (
+      form.watch("speedEstimation") &&
+      polygon &&
+      polygon.points.length !== 4
+    ) {
+      toast.error(
+        t("masksAndZones.zones.speedThreshold.toast.error.pointLengthError"),
+      );
+      form.setValue("speedEstimation", false);
+    }
+  }, [polygon, form, t]);
+
   const saveToConfig = useCallback(
     async (
       {
@@ -165,6 +284,12 @@ export default function ZoneEditPane({
         inertia,
         loitering_time,
         objects: form_objects,
+        speedEstimation,
+        lineA,
+        lineB,
+        lineC,
+        lineD,
+        speed_threshold,
       }: ZoneFormValuesType, // values submitted via the form
       objects: string[],
     ) => {
@@ -210,7 +335,7 @@ export default function ZoneEditPane({
           // Wait for the config to be updated
           mutatedConfig = await updateConfig();
         } catch (error) {
-          toast.error(`Failed to save config changes.`, {
+          toast.error(t("toast.save.error.noMessage", { ns: "common" }), {
             position: "top-center",
           });
           return;
@@ -261,30 +386,70 @@ export default function ZoneEditPane({
         loiteringTimeQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.loitering_time=${loitering_time}`;
       }
 
+      let distancesQuery = "";
+      const distances = [lineA, lineB, lineC, lineD].filter(Boolean).join(",");
+      if (speedEstimation) {
+        distancesQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.distances=${distances}`;
+      } else {
+        if (distances != "") {
+          distancesQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.distances`;
+        }
+      }
+
+      let speedThresholdQuery = "";
+      if (speed_threshold >= 0 && speedEstimation) {
+        speedThresholdQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.speed_threshold=${speed_threshold}`;
+      } else {
+        if (
+          polygon?.camera &&
+          polygon?.name &&
+          config?.cameras[polygon.camera]?.zones[polygon.name]?.speed_threshold
+        ) {
+          speedThresholdQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.speed_threshold`;
+        }
+      }
+
       axios
         .put(
-          `config/set?cameras.${polygon?.camera}.zones.${zoneName}.coordinates=${coordinates}${inertiaQuery}${loiteringTimeQuery}${objectQueries}${alertQueries}${detectionQueries}`,
+          `config/set?cameras.${polygon?.camera}.zones.${zoneName}.coordinates=${coordinates}${inertiaQuery}${loiteringTimeQuery}${speedThresholdQuery}${distancesQuery}${objectQueries}${alertQueries}${detectionQueries}`,
           { requires_restart: 0 },
         )
         .then((res) => {
           if (res.status === 200) {
             toast.success(
-              `Zone (${zoneName}) has been saved. Restart Frigate to apply changes.`,
+              t("masksAndZones.zones.toast.success", {
+                zoneName,
+              }),
               {
                 position: "top-center",
               },
             );
             updateConfig();
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
@@ -299,6 +464,7 @@ export default function ZoneEditPane({
       scaledHeight,
       setIsLoading,
       cameraConfig,
+      t,
     ],
   );
 
@@ -319,8 +485,8 @@ export default function ZoneEditPane({
   }
 
   useEffect(() => {
-    document.title = "Edit Zone - Frigate";
-  }, []);
+    document.title = t("masksAndZones.zones.documentTitle");
+  }, [t]);
 
   if (!polygon) {
     return;
@@ -330,23 +496,21 @@ export default function ZoneEditPane({
     <>
       <Toaster position="top-center" closeButton={true} />
       <Heading as="h3" className="my-2">
-        {polygon.name.length ? "Edit" : "New"} Zone
+        {polygon.name.length
+          ? t("masksAndZones.zones.edit")
+          : t("masksAndZones.zones.add")}
       </Heading>
       <div className="my-2 text-sm text-muted-foreground">
-        <p>
-          Zones allow you to define a specific area of the frame so you can
-          determine whether or not an object is within a particular area.
-        </p>
+        <p>{t("masksAndZones.zones.desc.title")}</p>
       </div>
       <Separator className="my-3 bg-secondary" />
       {polygons && activePolygonIndex !== undefined && (
         <div className="my-2 flex w-full flex-row justify-between text-sm">
           <div className="my-1 inline-flex">
-            {polygons[activePolygonIndex].points.length}{" "}
-            {polygons[activePolygonIndex].points.length > 1 ||
-            polygons[activePolygonIndex].points.length == 0
-              ? "points"
-              : "point"}
+            {t("masksAndZones.zones.point", {
+              count: polygons[activePolygonIndex].points.length,
+            })}
+
             {polygons[activePolygonIndex].isFinished && (
               <FaCheckCircle className="ml-2 size-5" />
             )}
@@ -355,11 +519,13 @@ export default function ZoneEditPane({
             polygons={polygons}
             setPolygons={setPolygons}
             activePolygonIndex={activePolygonIndex}
+            snapPoints={snapPoints}
+            setSnapPoints={setSnapPoints}
           />
         </div>
       )}
       <div className="mb-3 text-sm text-muted-foreground">
-        Click to draw a polygon on the image.
+        {t("masksAndZones.zones.clickDrawPolygon")}
       </div>
 
       <Separator className="my-3 bg-secondary" />
@@ -371,17 +537,16 @@ export default function ZoneEditPane({
             name="name"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Name</FormLabel>
+                <FormLabel>{t("masksAndZones.zones.name.title")}</FormLabel>
                 <FormControl>
                   <Input
                     className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-                    placeholder="Enter a name..."
+                    placeholder={t("masksAndZones.zones.name.inputPlaceHolder")}
                     {...field}
                   />
                 </FormControl>
                 <FormDescription>
-                  Name must be at least 2 characters and must not be the name of
-                  a camera or another zone.
+                  {t("masksAndZones.zones.name.tips")}
                 </FormDescription>
                 <FormMessage />
               </FormItem>
@@ -393,7 +558,7 @@ export default function ZoneEditPane({
             name="inertia"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Inertia</FormLabel>
+                <FormLabel>{t("masksAndZones.zones.inertia.title")}</FormLabel>
                 <FormControl>
                   <Input
                     className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
@@ -402,8 +567,9 @@ export default function ZoneEditPane({
                   />
                 </FormControl>
                 <FormDescription>
-                  Specifies how many frames that an object must be in a zone
-                  before they are considered in the zone. <em>Default: 3</em>
+                  <Trans ns="views/settings">
+                    masksAndZones.zones.inertia.desc
+                  </Trans>
                 </FormDescription>
                 <FormMessage />
               </FormItem>
@@ -415,7 +581,9 @@ export default function ZoneEditPane({
             name="loitering_time"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>Loitering Time</FormLabel>
+                <FormLabel>
+                  {t("masksAndZones.zones.loiteringTime.title")}
+                </FormLabel>
                 <FormControl>
                   <Input
                     className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
@@ -424,8 +592,9 @@ export default function ZoneEditPane({
                   />
                 </FormControl>
                 <FormDescription>
-                  Sets a minimum amount of time in seconds that the object must
-                  be in the zone for it to activate. <em>Default: 0</em>
+                  <Trans ns="views/settings">
+                    masksAndZones.zones.loiteringTime.desc
+                  </Trans>
                 </FormDescription>
                 <FormMessage />
               </FormItem>
@@ -433,9 +602,9 @@ export default function ZoneEditPane({
           />
           <Separator className="my-2 flex bg-secondary" />
           <FormItem>
-            <FormLabel>Objects</FormLabel>
+            <FormLabel>{t("masksAndZones.zones.objects.title")}</FormLabel>
             <FormDescription>
-              List of objects that apply to this zone.
+              {t("masksAndZones.zones.objects.desc")}
             </FormDescription>
             <ZoneObjectSelector
               camera={polygon.camera}
@@ -456,6 +625,219 @@ export default function ZoneEditPane({
             />
           </FormItem>
 
+          <Separator className="my-2 flex bg-secondary" />
+          <FormField
+            control={form.control}
+            name="speedEstimation"
+            render={({ field }) => (
+              <FormItem>
+                <div className="flex items-center space-x-2">
+                  <FormControl>
+                    <div className="my-2.5 flex w-full items-center justify-between">
+                      <FormLabel
+                        className="cursor-pointer text-primary"
+                        htmlFor="allLabels"
+                      >
+                        {t("masksAndZones.zones.speedEstimation.title")}
+                      </FormLabel>
+                      <Switch
+                        checked={field.value}
+                        onCheckedChange={(checked) => {
+                          if (
+                            checked &&
+                            polygons &&
+                            activePolygonIndex &&
+                            polygons[activePolygonIndex].points.length !== 4
+                          ) {
+                            toast.error(
+                              t(
+                                "masksAndZones.zones.speedThreshold.toast.error.pointLengthError",
+                              ),
+                            );
+                            return;
+                          }
+                          const loiteringTime =
+                            form.getValues("loitering_time");
+
+                          if (checked && loiteringTime && loiteringTime > 0) {
+                            toast.error(
+                              t(
+                                "masksAndZones.zones.speedThreshold.toast.error.loiteringTimeError",
+                              ),
+                            );
+                          }
+                          field.onChange(checked);
+                        }}
+                      />
+                    </div>
+                  </FormControl>
+                </div>
+                <FormDescription>
+                  {t("masksAndZones.zones.speedEstimation.desc")}
+                  <div className="mt-2 flex items-center text-primary">
+                    <Link
+                      to={getLocaleDocUrl(
+                        "configuration/zones#speed-estimation",
+                      )}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="inline"
+                    >
+                      {t("masksAndZones.zones.speedEstimation.docs")}
+                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                    </Link>
+                  </div>
+                </FormDescription>
+                <FormMessage />
+              </FormItem>
+            )}
+          />
+
+          {form.watch("speedEstimation") &&
+            polygons &&
+            activePolygonIndex !== undefined &&
+            polygons[activePolygonIndex].points.length === 4 && (
+              <>
+                <FormField
+                  control={form.control}
+                  name="lineA"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel>
+                        {t(
+                          "masksAndZones.zones.speedEstimation.lineADistance",
+                          {
+                            unit:
+                              config?.ui.unit_system == "imperial"
+                                ? t("unit.length.feet", { ns: "common" })
+                                : t("unit.length.meters", { ns: "common" }),
+                          },
+                        )}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          {...field}
+                          onFocus={() => setActiveLine(1)}
+                          onBlur={() => setActiveLine(undefined)}
+                        />
+                      </FormControl>
+                    </FormItem>
+                  )}
+                />
+                <FormField
+                  control={form.control}
+                  name="lineB"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel>
+                        {t(
+                          "masksAndZones.zones.speedEstimation.lineBDistance",
+                          {
+                            unit:
+                              config?.ui.unit_system == "imperial"
+                                ? t("unit.length.feet", { ns: "common" })
+                                : t("unit.length.meters", { ns: "common" }),
+                          },
+                        )}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          {...field}
+                          onFocus={() => setActiveLine(2)}
+                          onBlur={() => setActiveLine(undefined)}
+                        />
+                      </FormControl>
+                    </FormItem>
+                  )}
+                />
+                <FormField
+                  control={form.control}
+                  name="lineC"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel>
+                        {t(
+                          "masksAndZones.zones.speedEstimation.lineCDistance",
+                          {
+                            unit:
+                              config?.ui.unit_system == "imperial"
+                                ? t("unit.length.feet", { ns: "common" })
+                                : t("unit.length.meters", { ns: "common" }),
+                          },
+                        )}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          {...field}
+                          onFocus={() => setActiveLine(3)}
+                          onBlur={() => setActiveLine(undefined)}
+                        />
+                      </FormControl>
+                    </FormItem>
+                  )}
+                />
+                <FormField
+                  control={form.control}
+                  name="lineD"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel>
+                        {t(
+                          "masksAndZones.zones.speedEstimation.lineDDistance",
+                          {
+                            unit:
+                              config?.ui.unit_system == "imperial"
+                                ? t("unit.length.feet", { ns: "common" })
+                                : t("unit.length.meters", { ns: "common" }),
+                          },
+                        )}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          {...field}
+                          onFocus={() => setActiveLine(4)}
+                          onBlur={() => setActiveLine(undefined)}
+                        />
+                      </FormControl>
+                    </FormItem>
+                  )}
+                />
+
+                <Separator className="my-2 flex bg-secondary" />
+                <FormField
+                  control={form.control}
+                  name="speed_threshold"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel>
+                        {t("masksAndZones.zones.speedThreshold.title", {
+                          ns: "views/settings",
+                          unit:
+                            config?.ui.unit_system == "imperial"
+                              ? t("unit.speed.mph", { ns: "common" })
+                              : t("unit.speed.kph", { ns: "common" }),
+                        })}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          {...field}
+                        />
+                      </FormControl>
+                      <FormDescription>
+                        {t("masksAndZones.zones.speedThreshold.desc")}
+                      </FormDescription>
+                      <FormMessage />
+                    </FormItem>
+                  )}
+                />
+              </>
+            )}
+
           <FormField
             control={form.control}
             name="isFinished"
@@ -468,25 +850,25 @@ export default function ZoneEditPane({
           <div className="flex flex-row gap-2 pt-5">
             <Button
               className="flex flex-1"
-              aria-label="Cancel"
+              aria-label={t("button.cancel", { ns: "common" })}
               onClick={onCancel}
             >
-              Cancel
+              {t("button.cancel", { ns: "common" })}
             </Button>
             <Button
               variant="select"
               disabled={isLoading}
               className="flex flex-1"
-              aria-label="Save"
+              aria-label={t("button.save", { ns: "common" })}
               type="submit"
             >
               {isLoading ? (
                 <div className="flex flex-row items-center gap-2">
                   <ActivityIndicator />
-                  <span>Saving...</span>
+                  <span>{t("button.saving", { ns: "common" })}</span>
                 </div>
               ) : (
-                "Save"
+                t("button.save", { ns: "common" })
               )}
             </Button>
           </div>
@@ -509,6 +891,7 @@ export function ZoneObjectSelector({
   selectedLabels,
   updateLabelFilter,
 }: ZoneObjectSelectorProps) {
+  const { t } = useTranslation(["views/settings"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   const attributeLabels = useMemo(() => {
@@ -557,14 +940,16 @@ export function ZoneObjectSelector({
 
   useEffect(() => {
     updateLabelFilter(currentLabels);
-  }, [currentLabels, updateLabelFilter]);
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [currentLabels]);
 
   return (
     <>
       <div className="scrollbar-container h-auto overflow-y-auto overflow-x-hidden">
         <div className="my-2.5 flex items-center justify-between">
           <Label className="cursor-pointer text-primary" htmlFor="allLabels">
-            All Objects
+            {t("masksAndZones.zones.allObjects")}
           </Label>
           <Switch
             className="ml-1"
@@ -582,10 +967,10 @@ export function ZoneObjectSelector({
           {allLabels.map((item) => (
             <div key={item} className="flex items-center justify-between">
               <Label
-                className="w-full cursor-pointer capitalize text-primary"
+                className="w-full cursor-pointer text-primary smart-capitalize"
                 htmlFor={item}
               >
-                {item.replaceAll("_", " ")}
+                {getTranslatedLabel(item)}
               </Label>
               <Switch
                 key={item}
diff --git a/web/src/components/timeline/EventReviewTimeline.tsx b/web/src/components/timeline/EventReviewTimeline.tsx
index 9d5a4f70c..27f318edb 100644
--- a/web/src/components/timeline/EventReviewTimeline.tsx
+++ b/web/src/components/timeline/EventReviewTimeline.tsx
@@ -1,9 +1,21 @@
-import { useEffect, useCallback, useMemo, useRef, RefObject } from "react";
-import EventSegment from "./EventSegment";
+import React, {
+  useEffect,
+  useMemo,
+  useRef,
+  RefObject,
+  useCallback,
+} from "react";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
-import { ReviewSegment, ReviewSeverity } from "@/types/review";
+import {
+  ReviewSegment,
+  ReviewSeverity,
+  TimelineZoomDirection,
+} from "@/types/review";
 import ReviewTimeline from "./ReviewTimeline";
-import scrollIntoView from "scroll-into-view-if-needed";
+import {
+  VirtualizedEventSegments,
+  VirtualizedEventSegmentsRef,
+} from "./VirtualizedEventSegments";
 
 export type EventReviewTimelineProps = {
   segmentDuration: number;
@@ -27,6 +39,8 @@ export type EventReviewTimelineProps = {
   timelineRef?: RefObject<HTMLDivElement>;
   contentRef: RefObject<HTMLDivElement>;
   onHandlebarDraggingChange?: (isDragging: boolean) => void;
+  isZooming: boolean;
+  zoomDirection: TimelineZoomDirection;
   dense?: boolean;
 };
 
@@ -52,10 +66,13 @@ export function EventReviewTimeline({
   timelineRef,
   contentRef,
   onHandlebarDraggingChange,
+  isZooming,
+  zoomDirection,
   dense = false,
 }: EventReviewTimelineProps) {
   const internalTimelineRef = useRef<HTMLDivElement>(null);
   const selectedTimelineRef = timelineRef || internalTimelineRef;
+  const virtualizedSegmentsRef = useRef<VirtualizedEventSegmentsRef>(null);
 
   const timelineDuration = useMemo(
     () => timelineStart - timelineEnd,
@@ -73,79 +90,27 @@ export function EventReviewTimeline({
     [timelineStart, alignStartDateToTimeline],
   );
 
-  // Generate segments for the timeline
-  const generateSegments = useCallback(() => {
+  // Generate segment times for the timeline
+  const segmentTimes = useMemo(() => {
     const segmentCount = Math.ceil(timelineDuration / segmentDuration);
-
-    return Array.from({ length: segmentCount }, (_, index) => {
-      const segmentTime = timelineStartAligned - index * segmentDuration;
-
-      return (
-        <EventSegment
-          key={segmentTime + severityType}
-          events={events}
-          segmentDuration={segmentDuration}
-          segmentTime={segmentTime}
-          timestampSpread={timestampSpread}
-          showMinimap={showMinimap}
-          minimapStartTime={minimapStartTime}
-          minimapEndTime={minimapEndTime}
-          severityType={severityType}
-          contentRef={contentRef}
-          setHandlebarTime={setHandlebarTime}
-          dense={dense}
-        />
-      );
-    });
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [
-    segmentDuration,
-    timestampSpread,
-    timelineStart,
-    timelineDuration,
-    showMinimap,
-    minimapStartTime,
-    minimapEndTime,
-    events,
-  ]);
-
-  const segments = useMemo(
-    () => generateSegments(),
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-    [
-      segmentDuration,
-      timestampSpread,
-      timelineStart,
-      timelineDuration,
-      showMinimap,
-      minimapStartTime,
-      minimapEndTime,
-      events,
-    ],
-  );
+    return Array.from(
+      { length: segmentCount },
+      (_, index) => timelineStartAligned - index * segmentDuration,
+    );
+  }, [timelineDuration, segmentDuration, timelineStartAligned]);
 
   useEffect(() => {
     if (
-      selectedTimelineRef.current &&
-      segments &&
       visibleTimestamps &&
-      visibleTimestamps?.length > 0 &&
-      !showMinimap
+      visibleTimestamps.length > 0 &&
+      !showMinimap &&
+      virtualizedSegmentsRef.current
     ) {
       const alignedVisibleTimestamps = visibleTimestamps.map(
         alignStartDateToTimeline,
       );
-      const element = selectedTimelineRef.current?.querySelector(
-        `[data-segment-id="${Math.max(...alignedVisibleTimestamps)}"]`,
-      );
-      if (element) {
-        scrollIntoView(element, {
-          scrollMode: "if-needed",
-          behavior: "smooth",
-        });
-      }
+
+      scrollToSegment(Math.max(...alignedVisibleTimestamps), true);
     }
     // don't scroll when segments update from unreviewed -> reviewed
     // we know that these deps are correct
@@ -155,8 +120,22 @@ export function EventReviewTimeline({
     showMinimap,
     alignStartDateToTimeline,
     visibleTimestamps,
+    segmentDuration,
   ]);
 
+  const scrollToSegment = useCallback(
+    (segmentTime: number, ifNeeded?: boolean, behavior?: ScrollBehavior) => {
+      if (virtualizedSegmentsRef.current) {
+        virtualizedSegmentsRef.current.scrollToSegment(
+          segmentTime,
+          ifNeeded,
+          behavior,
+        );
+      }
+    },
+    [],
+  );
+
   return (
     <ReviewTimeline
       timelineRef={selectedTimelineRef}
@@ -174,8 +153,27 @@ export function EventReviewTimeline({
       setExportStartTime={setExportStartTime}
       setExportEndTime={setExportEndTime}
       dense={dense}
+      segments={segmentTimes}
+      scrollToSegment={scrollToSegment}
+      isZooming={isZooming}
+      zoomDirection={zoomDirection}
     >
-      {segments}
+      <VirtualizedEventSegments
+        ref={virtualizedSegmentsRef}
+        timelineRef={selectedTimelineRef}
+        segments={segmentTimes}
+        events={events}
+        segmentDuration={segmentDuration}
+        timestampSpread={timestampSpread}
+        showMinimap={showMinimap}
+        minimapStartTime={minimapStartTime}
+        minimapEndTime={minimapEndTime}
+        severityType={severityType}
+        contentRef={contentRef}
+        setHandlebarTime={setHandlebarTime}
+        dense={dense}
+        alignStartDateToTimeline={alignStartDateToTimeline}
+      />
     </ReviewTimeline>
   );
 }
diff --git a/web/src/components/timeline/EventSegment.tsx b/web/src/components/timeline/EventSegment.tsx
index 242ca3248..b6bd9d137 100644
--- a/web/src/components/timeline/EventSegment.tsx
+++ b/web/src/components/timeline/EventSegment.tsx
@@ -8,7 +8,6 @@ import React, {
   useEffect,
   useMemo,
   useRef,
-  useState,
 } from "react";
 import {
   HoverCard,
@@ -31,6 +30,7 @@ type EventSegmentProps = {
   severityType: ReviewSeverity;
   contentRef: RefObject<HTMLDivElement>;
   setHandlebarTime?: React.Dispatch<React.SetStateAction<number>>;
+  scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
   dense: boolean;
 };
 
@@ -45,6 +45,7 @@ export function EventSegment({
   severityType,
   contentRef,
   setHandlebarTime,
+  scrollToSegment,
   dense,
 }: EventSegmentProps) {
   const {
@@ -95,7 +96,10 @@ export function EventSegment({
   }, [getEventThumbnail, segmentTime]);
 
   const timestamp = useMemo(() => new Date(segmentTime * 1000), [segmentTime]);
-  const segmentKey = useMemo(() => segmentTime, [segmentTime]);
+  const segmentKey = useMemo(
+    () => `${segmentTime}_${segmentDuration}`,
+    [segmentTime, segmentDuration],
+  );
 
   const alignedMinimapStartTime = useMemo(
     () => alignStartDateToTimeline(minimapStartTime ?? 0),
@@ -133,10 +137,7 @@ export function EventSegment({
     // Check if the first segment is out of view
     const firstSegment = firstMinimapSegmentRef.current;
     if (firstSegment && showMinimap && isFirstSegmentInMinimap) {
-      scrollIntoView(firstSegment, {
-        scrollMode: "if-needed",
-        behavior: "smooth",
-      });
+      scrollToSegment(alignedMinimapStartTime);
     }
     // we know that these deps are correct
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -196,49 +197,10 @@ export function EventSegment({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [startTimestamp]);
 
-  const [segmentRendered, setSegmentRendered] = useState(false);
-  const segmentObserverRef = useRef<IntersectionObserver | null>(null);
-  const segmentRef = useRef(null);
-
-  useEffect(() => {
-    const segmentObserver = new IntersectionObserver(
-      ([entry]) => {
-        if (entry.isIntersecting && !segmentRendered) {
-          setSegmentRendered(true);
-        }
-      },
-      { threshold: 0 },
-    );
-
-    if (segmentRef.current) {
-      segmentObserver.observe(segmentRef.current);
-    }
-
-    segmentObserverRef.current = segmentObserver;
-
-    return () => {
-      if (segmentObserverRef.current) {
-        segmentObserverRef.current.disconnect();
-      }
-    };
-  }, [segmentRendered]);
-
-  if (!segmentRendered) {
-    return (
-      <div
-        key={segmentKey}
-        ref={segmentRef}
-        data-segment-id={segmentKey}
-        className={`segment ${segmentClasses}`}
-      />
-    );
-  }
-
   return (
     <div
       key={segmentKey}
-      ref={segmentRef}
-      data-segment-id={segmentKey}
+      data-segment-id={segmentTime}
       className={`segment ${segmentClasses}`}
       onClick={segmentClick}
       onTouchEnd={(event) => handleTouchStart(event, segmentClick)}
diff --git a/web/src/components/timeline/MotionReviewTimeline.tsx b/web/src/components/timeline/MotionReviewTimeline.tsx
index 157e53749..c8ef5ea75 100644
--- a/web/src/components/timeline/MotionReviewTimeline.tsx
+++ b/web/src/components/timeline/MotionReviewTimeline.tsx
@@ -1,9 +1,22 @@
-import { useCallback, useMemo, useRef, RefObject } from "react";
-import MotionSegment from "./MotionSegment";
+import React, {
+  useCallback,
+  useMemo,
+  useRef,
+  RefObject,
+  useEffect,
+} from "react";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
-import { MotionData, ReviewSegment, ReviewSeverity } from "@/types/review";
+import {
+  MotionData,
+  ReviewSegment,
+  TimelineZoomDirection,
+} from "@/types/review";
 import ReviewTimeline from "./ReviewTimeline";
 import { useMotionSegmentUtils } from "@/hooks/use-motion-segment-utils";
+import {
+  VirtualizedMotionSegments,
+  VirtualizedMotionSegmentsRef,
+} from "./VirtualizedMotionSegments";
 
 export type MotionReviewTimelineProps = {
   segmentDuration: number;
@@ -25,11 +38,12 @@ export type MotionReviewTimelineProps = {
   setExportEndTime?: React.Dispatch<React.SetStateAction<number>>;
   events: ReviewSegment[];
   motion_events: MotionData[];
-  severityType: ReviewSeverity;
   contentRef: RefObject<HTMLDivElement>;
   timelineRef?: RefObject<HTMLDivElement>;
   onHandlebarDraggingChange?: (isDragging: boolean) => void;
   dense?: boolean;
+  isZooming: boolean;
+  zoomDirection: TimelineZoomDirection;
 };
 
 export function MotionReviewTimeline({
@@ -56,9 +70,12 @@ export function MotionReviewTimeline({
   timelineRef,
   onHandlebarDraggingChange,
   dense = false,
+  isZooming,
+  zoomDirection,
 }: MotionReviewTimelineProps) {
   const internalTimelineRef = useRef<HTMLDivElement>(null);
   const selectedTimelineRef = timelineRef || internalTimelineRef;
+  const virtualizedSegmentsRef = useRef<VirtualizedMotionSegmentsRef>(null);
 
   const timelineDuration = useMemo(
     () => timelineStart - timelineEnd + 4 * segmentDuration,
@@ -80,90 +97,75 @@ export function MotionReviewTimeline({
     motion_events,
   );
 
-  // Generate segments for the timeline
-  const generateSegments = useCallback(() => {
+  const segmentTimes = useMemo(() => {
     const segments = [];
     let segmentTime = timelineStartAligned;
 
-    while (segmentTime >= timelineStartAligned - timelineDuration) {
-      const motionStart = segmentTime;
-      const motionEnd = motionStart + segmentDuration;
+    for (let i = 0; i < Math.ceil(timelineDuration / segmentDuration); i++) {
+      if (!motionOnly) {
+        segments.push(segmentTime);
+      } else {
+        const motionStart = segmentTime;
+        const motionEnd = motionStart + segmentDuration;
+        const overlappingReviewItems = events.some(
+          (item) =>
+            (item.start_time >= motionStart && item.start_time < motionEnd) ||
+            ((item.end_time ?? timelineStart) > motionStart &&
+              (item.end_time ?? timelineStart) <= motionEnd) ||
+            (item.start_time <= motionStart &&
+              (item.end_time ?? timelineStart) >= motionEnd),
+        );
+        const firstHalfMotionValue = getMotionSegmentValue(motionStart);
+        const secondHalfMotionValue = getMotionSegmentValue(
+          motionStart + segmentDuration / 2,
+        );
 
-      const firstHalfMotionValue = getMotionSegmentValue(motionStart);
-      const secondHalfMotionValue = getMotionSegmentValue(
-        motionStart + segmentDuration / 2,
-      );
-
-      const segmentMotion =
-        firstHalfMotionValue > 0 || secondHalfMotionValue > 0;
-      const overlappingReviewItems = events.some(
-        (item) =>
-          (item.start_time >= motionStart && item.start_time < motionEnd) ||
-          ((item.end_time ?? timelineStart) > motionStart &&
-            (item.end_time ?? timelineStart) <= motionEnd) ||
-          (item.start_time <= motionStart &&
-            (item.end_time ?? timelineStart) >= motionEnd),
-      );
-
-      if ((!segmentMotion || overlappingReviewItems) && motionOnly) {
-        // exclude segment if necessary when in motion only mode
-        segmentTime -= segmentDuration;
-        continue;
+        const segmentMotion =
+          firstHalfMotionValue > 0 || secondHalfMotionValue > 0;
+        if (segmentMotion && !overlappingReviewItems) {
+          segments.push(segmentTime);
+        }
       }
-
-      segments.push(
-        <MotionSegment
-          key={segmentTime}
-          events={events}
-          firstHalfMotionValue={firstHalfMotionValue}
-          secondHalfMotionValue={secondHalfMotionValue}
-          segmentDuration={segmentDuration}
-          segmentTime={segmentTime}
-          timestampSpread={timestampSpread}
-          motionOnly={motionOnly}
-          showMinimap={showMinimap}
-          minimapStartTime={minimapStartTime}
-          minimapEndTime={minimapEndTime}
-          setHandlebarTime={setHandlebarTime}
-          dense={dense}
-        />,
-      );
       segmentTime -= segmentDuration;
     }
+
     return segments;
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [
-    segmentDuration,
-    timestampSpread,
     timelineStartAligned,
+    segmentDuration,
     timelineDuration,
-    showMinimap,
-    minimapStartTime,
-    minimapEndTime,
-    events,
-    motion_events,
     motionOnly,
+    getMotionSegmentValue,
+    events,
+    timelineStart,
   ]);
 
-  const segments = useMemo(
-    () => generateSegments(),
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-    [
-      segmentDuration,
-      timestampSpread,
-      timelineStartAligned,
-      timelineDuration,
-      showMinimap,
-      minimapStartTime,
-      minimapEndTime,
-      events,
-      motion_events,
-      motionOnly,
-    ],
+  const scrollToSegment = useCallback(
+    (segmentTime: number, ifNeeded?: boolean, behavior?: ScrollBehavior) => {
+      if (virtualizedSegmentsRef.current) {
+        virtualizedSegmentsRef.current.scrollToSegment(
+          segmentTime,
+          ifNeeded,
+          behavior,
+        );
+      }
+    },
+    [],
   );
 
+  // keep handlebar centered when zooming
+  useEffect(() => {
+    setTimeout(() => {
+      scrollToSegment(
+        alignStartDateToTimeline(handlebarTime ?? timelineStart),
+        true,
+        "auto",
+      );
+    }, 0);
+    // we only want to scroll when zooming level changes
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [segmentDuration]);
+
   return (
     <ReviewTimeline
       timelineRef={selectedTimelineRef}
@@ -183,8 +185,28 @@ export function MotionReviewTimeline({
       setExportEndTime={setExportEndTime}
       timelineCollapsed={motionOnly}
       dense={dense}
+      segments={segmentTimes}
+      scrollToSegment={scrollToSegment}
+      isZooming={isZooming}
+      zoomDirection={zoomDirection}
     >
-      {segments}
+      <VirtualizedMotionSegments
+        ref={virtualizedSegmentsRef}
+        timelineRef={selectedTimelineRef}
+        segments={segmentTimes}
+        events={events}
+        motion_events={motion_events}
+        segmentDuration={segmentDuration}
+        timestampSpread={timestampSpread}
+        showMinimap={showMinimap}
+        minimapStartTime={minimapStartTime}
+        minimapEndTime={minimapEndTime}
+        contentRef={contentRef}
+        setHandlebarTime={setHandlebarTime}
+        dense={dense}
+        motionOnly={motionOnly}
+        getMotionSegmentValue={getMotionSegmentValue}
+      />
     </ReviewTimeline>
   );
 }
diff --git a/web/src/components/timeline/MotionSegment.tsx b/web/src/components/timeline/MotionSegment.tsx
index 903916b97..fa6fdbd80 100644
--- a/web/src/components/timeline/MotionSegment.tsx
+++ b/web/src/components/timeline/MotionSegment.tsx
@@ -1,14 +1,7 @@
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
 import { useEventSegmentUtils } from "@/hooks/use-event-segment-utils";
 import { ReviewSegment } from "@/types/review";
-import React, {
-  useCallback,
-  useEffect,
-  useMemo,
-  useRef,
-  useState,
-} from "react";
-import scrollIntoView from "scroll-into-view-if-needed";
+import React, { useCallback, useEffect, useMemo, useRef } from "react";
 import { MinimapBounds, Tick, Timestamp } from "./segment-metadata";
 import { useMotionSegmentUtils } from "@/hooks/use-motion-segment-utils";
 import { isMobile } from "react-device-detect";
@@ -27,6 +20,7 @@ type MotionSegmentProps = {
   minimapStartTime?: number;
   minimapEndTime?: number;
   setHandlebarTime?: React.Dispatch<React.SetStateAction<number>>;
+  scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
   dense: boolean;
 };
 
@@ -42,6 +36,7 @@ export function MotionSegment({
   minimapStartTime,
   minimapEndTime,
   setHandlebarTime,
+  scrollToSegment,
   dense,
 }: MotionSegmentProps) {
   const severityType = "all";
@@ -72,7 +67,10 @@ export function MotionSegment({
   );
 
   const timestamp = useMemo(() => new Date(segmentTime * 1000), [segmentTime]);
-  const segmentKey = useMemo(() => segmentTime, [segmentTime]);
+  const segmentKey = useMemo(
+    () => `${segmentTime}_${segmentDuration}`,
+    [segmentTime, segmentDuration],
+  );
 
   const maxSegmentWidth = useMemo(() => {
     return isMobile ? 30 : 50;
@@ -122,10 +120,7 @@ export function MotionSegment({
     // Check if the first segment is out of view
     const firstSegment = firstMinimapSegmentRef.current;
     if (firstSegment && showMinimap && isFirstSegmentInMinimap) {
-      scrollIntoView(firstSegment, {
-        scrollMode: "if-needed",
-        behavior: "smooth",
-      });
+      scrollToSegment(alignedMinimapStartTime);
     }
     // we know that these deps are correct
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -163,44 +158,6 @@ export function MotionSegment({
     }
   }, [segmentTime, setHandlebarTime]);
 
-  const [segmentRendered, setSegmentRendered] = useState(false);
-  const segmentObserverRef = useRef<IntersectionObserver | null>(null);
-  const segmentRef = useRef(null);
-
-  useEffect(() => {
-    const segmentObserver = new IntersectionObserver(
-      ([entry]) => {
-        if (entry.isIntersecting && !segmentRendered) {
-          setSegmentRendered(true);
-        }
-      },
-      { threshold: 0 },
-    );
-
-    if (segmentRef.current) {
-      segmentObserver.observe(segmentRef.current);
-    }
-
-    segmentObserverRef.current = segmentObserver;
-
-    return () => {
-      if (segmentObserverRef.current) {
-        segmentObserverRef.current.disconnect();
-      }
-    };
-  }, [segmentRendered]);
-
-  if (!segmentRendered) {
-    return (
-      <div
-        key={segmentKey}
-        ref={segmentRef}
-        data-segment-id={segmentKey}
-        className={`segment ${segmentClasses}`}
-      />
-    );
-  }
-
   return (
     <>
       {(((firstHalfSegmentWidth > 0 || secondHalfSegmentWidth > 0) &&
@@ -209,8 +166,7 @@ export function MotionSegment({
         !motionOnly) && (
         <div
           key={segmentKey}
-          data-segment-id={segmentKey}
-          ref={segmentRef}
+          data-segment-id={segmentTime}
           className={cn(
             "segment",
             {
diff --git a/web/src/components/timeline/ReviewTimeline.tsx b/web/src/components/timeline/ReviewTimeline.tsx
index faa22325d..d2238a718 100644
--- a/web/src/components/timeline/ReviewTimeline.tsx
+++ b/web/src/components/timeline/ReviewTimeline.tsx
@@ -1,6 +1,8 @@
 import useDraggableElement from "@/hooks/use-draggable-element";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
+import { cn } from "@/lib/utils";
 import { DraggableElement } from "@/types/draggable-element";
+import { TimelineZoomDirection } from "@/types/review";
 import {
   ReactNode,
   RefObject,
@@ -30,7 +32,11 @@ export type ReviewTimelineProps = {
   setExportEndTime?: React.Dispatch<React.SetStateAction<number>>;
   timelineCollapsed?: boolean;
   dense: boolean;
-  children: ReactNode[];
+  segments: number[];
+  scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
+  isZooming: boolean;
+  zoomDirection: TimelineZoomDirection;
+  children: ReactNode;
 };
 
 export function ReviewTimeline({
@@ -51,6 +57,10 @@ export function ReviewTimeline({
   setExportEndTime,
   timelineCollapsed = false,
   dense,
+  segments,
+  scrollToSegment,
+  isZooming,
+  zoomDirection,
   children,
 }: ReviewTimelineProps) {
   const [isDraggingHandlebar, setIsDraggingHandlebar] = useState(false);
@@ -116,7 +126,8 @@ export function ReviewTimeline({
     setIsDragging: setIsDraggingHandlebar,
     draggableElementTimeRef: handlebarTimeRef,
     dense,
-    timelineSegments: children,
+    segments,
+    scrollToSegment,
   });
 
   const {
@@ -140,7 +151,8 @@ export function ReviewTimeline({
     draggableElementTimeRef: exportStartTimeRef,
     setDraggableElementPosition: setExportStartPosition,
     dense,
-    timelineSegments: children,
+    segments,
+    scrollToSegment,
   });
 
   const {
@@ -164,7 +176,8 @@ export function ReviewTimeline({
     draggableElementTimeRef: exportEndTimeRef,
     setDraggableElementPosition: setExportEndPosition,
     dense,
-    timelineSegments: children,
+    segments,
+    scrollToSegment,
   });
 
   const handleHandlebar = useCallback(
@@ -316,18 +329,21 @@ export function ReviewTimeline({
   return (
     <div
       ref={timelineRef}
-      className={`no-scrollbar relative h-full select-none overflow-y-auto bg-secondary ${
+      className={cn(
+        "no-scrollbar relative h-full select-none overflow-y-auto bg-secondary transition-all duration-500 ease-in-out",
+        isZooming && zoomDirection === "in" && "animate-timeline-zoom-in",
+        isZooming && zoomDirection === "out" && "animate-timeline-zoom-out",
         isDragging && (showHandlebar || showExportHandles)
           ? "cursor-grabbing"
-          : "cursor-auto"
-      }`}
+          : "cursor-auto",
+      )}
     >
       <div ref={segmentsRef} className="relative flex flex-col">
         <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
         <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
         {children}
       </div>
-      {children.length > 0 && (
+      {children && (
         <>
           {showHandlebar && (
             <div
diff --git a/web/src/components/timeline/SummarySegment.tsx b/web/src/components/timeline/SummarySegment.tsx
index 6903d473c..4945e9b5d 100644
--- a/web/src/components/timeline/SummarySegment.tsx
+++ b/web/src/components/timeline/SummarySegment.tsx
@@ -1,68 +1,39 @@
-import { useEventSegmentUtils } from "@/hooks/use-event-segment-utils";
-import { ReviewSegment, ReviewSeverity } from "@/types/review";
-import React, { useMemo } from "react";
-// import useTapUtils from "@/hooks/use-tap-utils";
+import { cn } from "@/lib/utils";
+import { ConsolidatedSegmentData } from "@/types/review";
 
 type SummarySegmentProps = {
-  events: ReviewSegment[];
-  segmentTime: number;
-  segmentDuration: number;
-  segmentHeight: number;
-  severityType: ReviewSeverity;
+  segmentData: ConsolidatedSegmentData;
+  totalDuration: number;
 };
 
 export function SummarySegment({
-  events,
-  segmentTime,
-  segmentDuration,
-  segmentHeight,
-  severityType,
+  segmentData,
+  totalDuration,
 }: SummarySegmentProps) {
-  const { getSeverity, getReviewed, displaySeverityType } =
-    useEventSegmentUtils(segmentDuration, events, severityType);
+  const { startTime, endTime, severity, reviewed } = segmentData;
 
-  const severity = useMemo(
-    () => getSeverity(segmentTime, displaySeverityType),
-    [getSeverity, segmentTime, displaySeverityType],
-  );
-
-  const reviewed = useMemo(
-    () => getReviewed(segmentTime),
-    [getReviewed, segmentTime],
-  );
-
-  const segmentKey = useMemo(() => segmentTime, [segmentTime]);
-
-  const severityColors: { [key: number]: string } = {
-    1: reviewed
+  const severityColors: { [key: string]: string } = {
+    significant_motion: reviewed
       ? "bg-severity_significant_motion/50"
       : "bg-severity_significant_motion",
-    2: reviewed ? "bg-severity_detection/50" : "bg-severity_detection",
-    3: reviewed ? "bg-severity_alert/50" : "bg-severity_alert",
+    detection: reviewed ? "bg-severity_detection/50" : "bg-severity_detection",
+    alert: reviewed ? "bg-severity_alert/50" : "bg-severity_alert",
+    empty: "bg-transparent",
   };
 
+  const height = ((endTime - startTime) / totalDuration) * 100;
+
   return (
-    <div
-      key={segmentKey}
-      className="relative w-full"
-      style={{ height: segmentHeight }}
-    >
-      {severity.map((severityValue: number, index: number) => (
-        <React.Fragment key={index}>
-          {severityValue === displaySeverityType && (
-            <div
-              className="flex cursor-pointer justify-end"
-              style={{ height: segmentHeight }}
-            >
-              <div
-                key={`${segmentKey}_${index}_secondary_data`}
-                style={{ height: segmentHeight }}
-                className={`w-[10px] ${severityColors[severityValue]}`}
-              ></div>
-            </div>
+    <div className="relative w-full" style={{ height: `${height}%` }}>
+      <div className="absolute inset-0 flex h-full cursor-pointer justify-end">
+        <div
+          className={cn(
+            "w-[10px]",
+            severityColors[severity],
+            height < 0.5 && "min-h-[0.5px]",
           )}
-        </React.Fragment>
-      ))}
+        ></div>
+      </div>
     </div>
   );
 }
diff --git a/web/src/components/timeline/SummaryTimeline.tsx b/web/src/components/timeline/SummaryTimeline.tsx
index 7e67b9da6..d17709bdf 100644
--- a/web/src/components/timeline/SummaryTimeline.tsx
+++ b/web/src/components/timeline/SummaryTimeline.tsx
@@ -1,17 +1,20 @@
-import {
-  RefObject,
-  useCallback,
-  useEffect,
-  useMemo,
+import React, {
   useRef,
   useState,
+  useMemo,
+  useCallback,
+  useEffect,
 } from "react";
 import { SummarySegment } from "./SummarySegment";
+import {
+  ConsolidatedSegmentData,
+  ReviewSegment,
+  ReviewSeverity,
+} from "@/types/review";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
-import { ReviewSegment, ReviewSeverity } from "@/types/review";
 
 export type SummaryTimelineProps = {
-  reviewTimelineRef: RefObject<HTMLDivElement>;
+  reviewTimelineRef: React.RefObject<HTMLDivElement>;
   timelineStart: number;
   timelineEnd: number;
   segmentDuration: number;
@@ -29,7 +32,6 @@ export function SummaryTimeline({
 }: SummaryTimelineProps) {
   const summaryTimelineRef = useRef<HTMLDivElement>(null);
   const visibleSectionRef = useRef<HTMLDivElement>(null);
-  const [segmentHeight, setSegmentHeight] = useState(0);
 
   const [isDragging, setIsDragging] = useState(false);
   const [scrollStartPosition, setScrollStartPosition] = useState<number>(0);
@@ -43,61 +45,89 @@ export function SummaryTimeline({
     [timelineEnd, timelineStart, segmentDuration],
   );
 
-  const { alignStartDateToTimeline } = useTimelineUtils({
-    segmentDuration,
-    timelineDuration: reviewTimelineDuration,
-    timelineRef: reviewTimelineRef,
-  });
-
-  const timelineStartAligned = useMemo(
-    () => alignStartDateToTimeline(timelineStart) + 2 * segmentDuration,
-    [timelineStart, alignStartDateToTimeline, segmentDuration],
+  const { alignStartDateToTimeline, alignEndDateToTimeline } = useTimelineUtils(
+    {
+      segmentDuration,
+      timelineDuration: reviewTimelineDuration,
+      timelineRef: reviewTimelineRef,
+    },
   );
 
-  // Generate segments for the timeline
-  const generateSegments = useCallback(() => {
-    const segmentCount = Math.ceil(reviewTimelineDuration / segmentDuration);
+  const consolidatedSegments = useMemo(() => {
+    const filteredEvents = events.filter(
+      (event) => event.severity === severityType,
+    );
 
-    if (segmentHeight) {
-      return Array.from({ length: segmentCount }, (_, index) => {
-        const segmentTime = timelineStartAligned - index * segmentDuration;
+    const sortedEvents = filteredEvents.sort(
+      (a, b) => a.start_time - b.start_time,
+    );
 
-        return (
-          <SummarySegment
-            key={segmentTime}
-            events={events}
-            segmentDuration={segmentDuration}
-            segmentTime={segmentTime}
-            segmentHeight={segmentHeight}
-            severityType={severityType}
-          />
-        );
+    const consolidated: ConsolidatedSegmentData[] = [];
+
+    let currentTime = alignEndDateToTimeline(timelineEnd);
+    const timelineStartAligned = alignStartDateToTimeline(timelineStart);
+
+    sortedEvents.forEach((event) => {
+      const alignedStartTime = Math.max(
+        alignStartDateToTimeline(event.start_time),
+        currentTime,
+      );
+      const alignedEndTime = Math.min(
+        event.end_time
+          ? alignEndDateToTimeline(event.end_time)
+          : alignedStartTime + segmentDuration,
+        timelineStartAligned,
+      );
+
+      if (alignedStartTime < alignedEndTime) {
+        if (alignedStartTime > currentTime) {
+          consolidated.push({
+            startTime: currentTime,
+            endTime: alignedStartTime,
+            severity: "empty",
+            reviewed: false,
+          });
+        }
+
+        consolidated.push({
+          startTime: alignedStartTime,
+          endTime: alignedEndTime,
+          severity: event.severity,
+          reviewed: event.has_been_reviewed,
+        });
+
+        currentTime = alignedEndTime;
+      }
+    });
+
+    if (currentTime < timelineStartAligned) {
+      consolidated.push({
+        startTime: currentTime,
+        endTime: timelineStartAligned,
+        severity: "empty",
+        reviewed: false,
       });
     }
-  }, [
-    segmentDuration,
-    timelineStartAligned,
-    events,
-    reviewTimelineDuration,
-    segmentHeight,
-    severityType,
-  ]);
 
-  const segments = useMemo(
-    () => generateSegments(),
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-    [
-      segmentDuration,
-      segmentHeight,
-      timelineStartAligned,
-      events,
-      reviewTimelineDuration,
-      segmentHeight,
-      generateSegments,
-      severityType,
-    ],
-  );
+    return consolidated.length > 0
+      ? consolidated
+      : [
+          {
+            startTime: alignEndDateToTimeline(timelineEnd),
+            endTime: timelineStartAligned,
+            severity: "empty" as const,
+            reviewed: false,
+          },
+        ];
+  }, [
+    events,
+    severityType,
+    timelineStart,
+    timelineEnd,
+    alignStartDateToTimeline,
+    alignEndDateToTimeline,
+    segmentDuration,
+  ]);
 
   const setVisibleSectionStyles = useCallback(() => {
     if (
@@ -137,15 +167,6 @@ export function SummaryTimeline({
 
       observer.current = new ResizeObserver(() => {
         setVisibleSectionStyles();
-        if (summaryTimelineRef.current) {
-          const { clientHeight: summaryTimelineVisibleHeight } =
-            summaryTimelineRef.current;
-
-          setSegmentHeight(
-            summaryTimelineVisibleHeight /
-              (reviewTimelineDuration / segmentDuration),
-          );
-        }
       });
       observer.current.observe(content);
 
@@ -163,18 +184,6 @@ export function SummaryTimeline({
     segmentDuration,
   ]);
 
-  useEffect(() => {
-    if (summaryTimelineRef.current) {
-      const { clientHeight: summaryTimelineVisibleHeight } =
-        summaryTimelineRef.current;
-
-      setSegmentHeight(
-        summaryTimelineVisibleHeight /
-          (reviewTimelineDuration / segmentDuration),
-      );
-    }
-  }, [reviewTimelineDuration, summaryTimelineRef, segmentDuration]);
-
   const timelineClick = useCallback(
     (
       e: React.MouseEvent<HTMLDivElement> | React.TouchEvent<HTMLDivElement>,
@@ -344,11 +353,17 @@ export function SummaryTimeline({
     >
       <div
         ref={summaryTimelineRef}
-        className="relative z-10 flex h-full flex-col"
+        className="relative z-10 flex h-full flex-col-reverse"
         onClick={timelineClick}
         onTouchEnd={timelineClick}
       >
-        {segments}
+        {consolidatedSegments.map((segment, index) => (
+          <SummarySegment
+            key={`${segment.startTime}-${segment.endTime}+${index}`}
+            segmentData={segment}
+            totalDuration={timelineStart - timelineEnd}
+          />
+        ))}
       </div>
       <div
         ref={visibleSectionRef}
diff --git a/web/src/components/timeline/VirtualizedEventSegments.tsx b/web/src/components/timeline/VirtualizedEventSegments.tsx
new file mode 100644
index 000000000..5b8b73633
--- /dev/null
+++ b/web/src/components/timeline/VirtualizedEventSegments.tsx
@@ -0,0 +1,213 @@
+import React, {
+  useCallback,
+  useEffect,
+  useRef,
+  useState,
+  forwardRef,
+  useImperativeHandle,
+} from "react";
+import { EventSegment } from "./EventSegment";
+import { ReviewSegment, ReviewSeverity } from "@/types/review";
+
+type VirtualizedEventSegmentsProps = {
+  timelineRef: React.RefObject<HTMLDivElement>;
+  segments: number[];
+  events: ReviewSegment[];
+  segmentDuration: number;
+  timestampSpread: number;
+  showMinimap: boolean;
+  minimapStartTime?: number;
+  minimapEndTime?: number;
+  severityType: ReviewSeverity;
+  contentRef: React.RefObject<HTMLDivElement>;
+  setHandlebarTime?: React.Dispatch<React.SetStateAction<number>>;
+  dense: boolean;
+  alignStartDateToTimeline: (timestamp: number) => number;
+};
+
+export interface VirtualizedEventSegmentsRef {
+  scrollToSegment: (
+    segmentTime: number,
+    ifNeeded?: boolean,
+    behavior?: ScrollBehavior,
+  ) => void;
+}
+
+const SEGMENT_HEIGHT = 8;
+const OVERSCAN_COUNT = 20;
+
+export const VirtualizedEventSegments = forwardRef<
+  VirtualizedEventSegmentsRef,
+  VirtualizedEventSegmentsProps
+>(
+  (
+    {
+      timelineRef,
+      segments,
+      events,
+      segmentDuration,
+      timestampSpread,
+      showMinimap,
+      minimapStartTime,
+      minimapEndTime,
+      severityType,
+      contentRef,
+      setHandlebarTime,
+      dense,
+      alignStartDateToTimeline,
+    },
+    ref,
+  ) => {
+    const [visibleRange, setVisibleRange] = useState({ start: 0, end: 0 });
+    const containerRef = useRef<HTMLDivElement>(null);
+
+    const updateVisibleRange = useCallback(() => {
+      if (timelineRef.current) {
+        const { scrollTop, clientHeight } = timelineRef.current;
+        const start = Math.max(
+          0,
+          Math.floor(scrollTop / SEGMENT_HEIGHT) - OVERSCAN_COUNT,
+        );
+        const end = Math.min(
+          segments.length,
+          Math.ceil((scrollTop + clientHeight) / SEGMENT_HEIGHT) +
+            OVERSCAN_COUNT,
+        );
+        setVisibleRange({ start, end });
+      }
+    }, [segments.length, timelineRef]);
+
+    useEffect(() => {
+      const container = timelineRef.current;
+      if (container) {
+        const handleScroll = () => {
+          window.requestAnimationFrame(updateVisibleRange);
+        };
+
+        container.addEventListener("scroll", handleScroll, { passive: true });
+        window.addEventListener("resize", updateVisibleRange);
+
+        updateVisibleRange();
+
+        return () => {
+          container.removeEventListener("scroll", handleScroll);
+          window.removeEventListener("resize", updateVisibleRange);
+        };
+      }
+    }, [updateVisibleRange, timelineRef]);
+
+    const scrollToSegment = useCallback(
+      (
+        segmentTime: number,
+        ifNeeded: boolean = true,
+        behavior: ScrollBehavior = "smooth",
+      ) => {
+        const alignedSegmentTime = alignStartDateToTimeline(segmentTime);
+        const segmentIndex = segments.findIndex(
+          (time) => time === alignedSegmentTime,
+        );
+        if (
+          segmentIndex !== -1 &&
+          containerRef.current &&
+          timelineRef.current
+        ) {
+          const timelineHeight = timelineRef.current.clientHeight;
+          const targetScrollTop = segmentIndex * SEGMENT_HEIGHT;
+          const centeredScrollTop =
+            targetScrollTop - timelineHeight / 2 + SEGMENT_HEIGHT / 2;
+
+          const isVisible =
+            segmentIndex > visibleRange.start + OVERSCAN_COUNT &&
+            segmentIndex < visibleRange.end - OVERSCAN_COUNT;
+
+          if (!ifNeeded || !isVisible) {
+            timelineRef.current.scrollTo({
+              top: Math.max(0, centeredScrollTop),
+              behavior: behavior,
+            });
+          }
+          updateVisibleRange();
+        }
+      },
+      [
+        segments,
+        alignStartDateToTimeline,
+        updateVisibleRange,
+        timelineRef,
+        visibleRange,
+      ],
+    );
+
+    useImperativeHandle(ref, () => ({
+      scrollToSegment,
+    }));
+
+    const totalHeight = segments.length * SEGMENT_HEIGHT;
+    const visibleSegments = segments.slice(
+      visibleRange.start,
+      visibleRange.end,
+    );
+
+    return (
+      <div
+        ref={containerRef}
+        className="h-full w-full"
+        style={{ position: "relative", willChange: "transform" }}
+      >
+        <div style={{ height: `${totalHeight}px`, position: "relative" }}>
+          {visibleRange.start > 0 && (
+            <div
+              style={{
+                position: "absolute",
+                top: 0,
+                height: `${visibleRange.start * SEGMENT_HEIGHT}px`,
+                width: "100%",
+              }}
+              aria-hidden="true"
+            />
+          )}
+          {visibleSegments.map((segmentTime, index) => {
+            const segmentId = `${segmentTime}_${segmentDuration}`;
+            return (
+              <div
+                key={segmentId}
+                style={{
+                  position: "absolute",
+                  top: `${(visibleRange.start + index) * SEGMENT_HEIGHT}px`,
+                  height: `${SEGMENT_HEIGHT}px`,
+                  width: "100%",
+                }}
+              >
+                <EventSegment
+                  events={events}
+                  segmentTime={segmentTime}
+                  segmentDuration={segmentDuration}
+                  timestampSpread={timestampSpread}
+                  showMinimap={showMinimap}
+                  minimapStartTime={minimapStartTime}
+                  minimapEndTime={minimapEndTime}
+                  severityType={severityType}
+                  contentRef={contentRef}
+                  setHandlebarTime={setHandlebarTime}
+                  scrollToSegment={scrollToSegment}
+                  dense={dense}
+                />
+              </div>
+            );
+          })}
+          {visibleRange.end < segments.length && (
+            <div
+              style={{
+                position: "absolute",
+                top: `${visibleRange.end * SEGMENT_HEIGHT}px`,
+                height: `${(segments.length - visibleRange.end) * SEGMENT_HEIGHT}px`,
+                width: "100%",
+              }}
+              aria-hidden="true"
+            />
+          )}
+        </div>
+      </div>
+    );
+  },
+);
diff --git a/web/src/components/timeline/VirtualizedMotionSegments.tsx b/web/src/components/timeline/VirtualizedMotionSegments.tsx
new file mode 100644
index 000000000..3aed75266
--- /dev/null
+++ b/web/src/components/timeline/VirtualizedMotionSegments.tsx
@@ -0,0 +1,251 @@
+import React, {
+  useCallback,
+  useEffect,
+  useRef,
+  useState,
+  forwardRef,
+  useImperativeHandle,
+} from "react";
+import MotionSegment from "./MotionSegment";
+import { ReviewSegment, MotionData } from "@/types/review";
+
+type VirtualizedMotionSegmentsProps = {
+  timelineRef: React.RefObject<HTMLDivElement>;
+  segments: number[];
+  events: ReviewSegment[];
+  motion_events: MotionData[];
+  segmentDuration: number;
+  timestampSpread: number;
+  showMinimap: boolean;
+  minimapStartTime?: number;
+  minimapEndTime?: number;
+  contentRef: React.RefObject<HTMLDivElement>;
+  setHandlebarTime?: React.Dispatch<React.SetStateAction<number>>;
+  dense: boolean;
+  motionOnly: boolean;
+  getMotionSegmentValue: (timestamp: number) => number;
+};
+
+export interface VirtualizedMotionSegmentsRef {
+  scrollToSegment: (
+    segmentTime: number,
+    ifNeeded?: boolean,
+    behavior?: ScrollBehavior,
+  ) => void;
+}
+
+const SEGMENT_HEIGHT = 8;
+const OVERSCAN_COUNT = 20;
+
+export const VirtualizedMotionSegments = forwardRef<
+  VirtualizedMotionSegmentsRef,
+  VirtualizedMotionSegmentsProps
+>(
+  (
+    {
+      timelineRef,
+      segments,
+      events,
+      segmentDuration,
+      timestampSpread,
+      showMinimap,
+      minimapStartTime,
+      minimapEndTime,
+      setHandlebarTime,
+      dense,
+      motionOnly,
+      getMotionSegmentValue,
+    },
+    ref,
+  ) => {
+    const [visibleRange, setVisibleRange] = useState({ start: 0, end: 0 });
+    const containerRef = useRef<HTMLDivElement>(null);
+
+    const updateVisibleRange = useCallback(() => {
+      if (timelineRef.current) {
+        const { scrollTop, clientHeight } = timelineRef.current;
+        const start = Math.max(
+          0,
+          Math.floor(scrollTop / SEGMENT_HEIGHT) - OVERSCAN_COUNT,
+        );
+        const end = Math.min(
+          segments.length,
+          Math.ceil((scrollTop + clientHeight) / SEGMENT_HEIGHT) +
+            OVERSCAN_COUNT,
+        );
+        setVisibleRange({ start, end });
+      }
+    }, [segments.length, timelineRef]);
+
+    useEffect(() => {
+      const container = timelineRef.current;
+      if (container) {
+        const handleScroll = () => {
+          window.requestAnimationFrame(updateVisibleRange);
+        };
+
+        container.addEventListener("scroll", handleScroll, { passive: true });
+        window.addEventListener("resize", updateVisibleRange);
+
+        updateVisibleRange();
+
+        return () => {
+          container.removeEventListener("scroll", handleScroll);
+          window.removeEventListener("resize", updateVisibleRange);
+        };
+      }
+    }, [updateVisibleRange, timelineRef]);
+
+    const scrollToSegment = useCallback(
+      (
+        segmentTime: number,
+        ifNeeded: boolean = true,
+        behavior: ScrollBehavior = "smooth",
+      ) => {
+        const segmentIndex = segments.findIndex((time) => time === segmentTime);
+        if (
+          segmentIndex !== -1 &&
+          containerRef.current &&
+          timelineRef.current
+        ) {
+          const timelineHeight = timelineRef.current.clientHeight;
+          const targetScrollTop = segmentIndex * SEGMENT_HEIGHT;
+          const centeredScrollTop =
+            targetScrollTop - timelineHeight / 2 + SEGMENT_HEIGHT / 2;
+
+          const isVisible =
+            segmentIndex > visibleRange.start + OVERSCAN_COUNT &&
+            segmentIndex < visibleRange.end - OVERSCAN_COUNT;
+
+          if (!ifNeeded || !isVisible) {
+            timelineRef.current.scrollTo({
+              top: Math.max(0, centeredScrollTop),
+              behavior: behavior,
+            });
+          }
+          updateVisibleRange();
+        }
+      },
+      [segments, timelineRef, visibleRange, updateVisibleRange],
+    );
+
+    useImperativeHandle(ref, () => ({
+      scrollToSegment,
+    }));
+
+    const renderSegment = useCallback(
+      (segmentTime: number, index: number) => {
+        const motionStart = segmentTime;
+        const motionEnd = motionStart + segmentDuration;
+
+        const firstHalfMotionValue = getMotionSegmentValue(motionStart);
+        const secondHalfMotionValue = getMotionSegmentValue(
+          motionStart + segmentDuration / 2,
+        );
+
+        const segmentMotion =
+          firstHalfMotionValue > 0 || secondHalfMotionValue > 0;
+        const overlappingReviewItems = events.some(
+          (item) =>
+            (item.start_time >= motionStart && item.start_time < motionEnd) ||
+            ((item.end_time ?? segmentTime) > motionStart &&
+              (item.end_time ?? segmentTime) <= motionEnd) ||
+            (item.start_time <= motionStart &&
+              (item.end_time ?? segmentTime) >= motionEnd),
+        );
+
+        if ((!segmentMotion || overlappingReviewItems) && motionOnly) {
+          return null; // Skip rendering this segment in motion only mode
+        }
+
+        return (
+          <div
+            key={`${segmentTime}_${segmentDuration}`}
+            style={{
+              position: "absolute",
+              top: `${(visibleRange.start + index) * SEGMENT_HEIGHT}px`,
+              height: `${SEGMENT_HEIGHT}px`,
+              width: "100%",
+            }}
+          >
+            <MotionSegment
+              events={events}
+              firstHalfMotionValue={firstHalfMotionValue}
+              secondHalfMotionValue={secondHalfMotionValue}
+              segmentDuration={segmentDuration}
+              segmentTime={segmentTime}
+              timestampSpread={timestampSpread}
+              motionOnly={motionOnly}
+              showMinimap={showMinimap}
+              minimapStartTime={minimapStartTime}
+              minimapEndTime={minimapEndTime}
+              setHandlebarTime={setHandlebarTime}
+              scrollToSegment={scrollToSegment}
+              dense={dense}
+            />
+          </div>
+        );
+      },
+      [
+        events,
+        getMotionSegmentValue,
+        motionOnly,
+        segmentDuration,
+        showMinimap,
+        minimapStartTime,
+        minimapEndTime,
+        setHandlebarTime,
+        scrollToSegment,
+        dense,
+        timestampSpread,
+        visibleRange.start,
+      ],
+    );
+
+    const totalHeight = segments.length * SEGMENT_HEIGHT;
+    const visibleSegments = segments.slice(
+      visibleRange.start,
+      visibleRange.end,
+    );
+
+    return (
+      <div
+        ref={containerRef}
+        className="h-full w-full"
+        style={{ position: "relative", willChange: "transform" }}
+      >
+        <div style={{ height: `${totalHeight}px`, position: "relative" }}>
+          {visibleRange.start > 0 && (
+            <div
+              style={{
+                position: "absolute",
+                top: 0,
+                height: `${visibleRange.start * SEGMENT_HEIGHT}px`,
+                width: "100%",
+              }}
+              aria-hidden="true"
+            />
+          )}
+          {visibleSegments.map((segmentTime, index) =>
+            renderSegment(segmentTime, index),
+          )}
+          {visibleRange.end < segments.length && (
+            <div
+              style={{
+                position: "absolute",
+                top: `${visibleRange.end * SEGMENT_HEIGHT}px`,
+                height: `${
+                  (segments.length - visibleRange.end) * SEGMENT_HEIGHT
+                }px`,
+                width: "100%",
+              }}
+              aria-hidden="true"
+            />
+          )}
+        </div>
+      </div>
+    );
+  },
+);
+
+export default VirtualizedMotionSegments;
diff --git a/web/src/components/timeline/segment-metadata.tsx b/web/src/components/timeline/segment-metadata.tsx
index 3e3c99393..70e44b40b 100644
--- a/web/src/components/timeline/segment-metadata.tsx
+++ b/web/src/components/timeline/segment-metadata.tsx
@@ -1,6 +1,7 @@
+import { useFormattedTimestamp } from "@/hooks/use-date-utils";
 import { FrigateConfig } from "@/types/frigateConfig";
-import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { useMemo } from "react";
+import { useTranslation } from "react-i18next";
 import useSWR from "swr";
 
 type MinimapSegmentProps = {
@@ -22,7 +23,7 @@ type TimestampSegmentProps = {
   isLastSegmentInMinimap: boolean;
   timestamp: Date;
   timestampSpread: number;
-  segmentKey: number;
+  segmentKey: string;
 };
 
 export function MinimapBounds({
@@ -34,6 +35,24 @@ export function MinimapBounds({
   dense,
 }: MinimapSegmentProps) {
   const { data: config } = useSWR<FrigateConfig>("config");
+  const { t } = useTranslation(["common"]);
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+
+  const formatKey = dense
+    ? `time.formattedTimestampHourMinute.${timeFormat}`
+    : `time.formattedTimestampMonthDayHourMinute.${timeFormat}`;
+
+  const formattedStartTime = useFormattedTimestamp(
+    alignedMinimapStartTime,
+    t(formatKey),
+    config?.ui.timezone,
+  );
+
+  const formattedEndTime = useFormattedTimestamp(
+    alignedMinimapEndTime,
+    t(formatKey),
+    config?.ui.timezone,
+  );
 
   return (
     <>
@@ -42,23 +61,13 @@ export function MinimapBounds({
           className="pointer-events-none absolute inset-0 -bottom-7 z-20 flex w-full select-none scroll-mt-8 items-center justify-center text-center text-[10px] font-medium text-primary"
           ref={firstMinimapSegmentRef}
         >
-          {formatUnixTimestampToDateTime(alignedMinimapStartTime, {
-            timezone: config?.ui.timezone,
-            strftime_fmt: !dense
-              ? `%b %d, ${config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p"}`
-              : `${config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p"}`,
-          })}
+          {formattedStartTime}
         </div>
       )}
 
       {isLastSegmentInMinimap && (
         <div className="pointer-events-none absolute inset-0 -top-3 z-20 flex w-full select-none items-center justify-center text-center text-[10px] font-medium text-primary">
-          {formatUnixTimestampToDateTime(alignedMinimapEndTime, {
-            timezone: config?.ui.timezone,
-            strftime_fmt: !dense
-              ? `%b %d, ${config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p"}`
-              : `${config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p"}`,
-          })}
+          {formattedEndTime}
         </div>
       )}
     </>
@@ -92,27 +101,28 @@ export function Timestamp({
   timestampSpread,
   segmentKey,
 }: TimestampSegmentProps) {
+  const { t } = useTranslation(["common"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  const formattedTimestamp = useMemo(() => {
-    if (
-      !(
-        timestamp.getMinutes() % timestampSpread === 0 &&
-        timestamp.getSeconds() === 0
-      )
-    ) {
-      return undefined;
-    }
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = t(`time.formattedTimestampHourMinute.${timeFormat}`);
 
-    return formatUnixTimestampToDateTime(timestamp.getTime() / 1000, {
-      timezone: config?.ui.timezone,
-      strftime_fmt: config?.ui.time_format == "24hour" ? "%H:%M" : "%I:%M %p",
-    });
-  }, [config, timestamp, timestampSpread]);
+  const formattedTimestamp = useFormattedTimestamp(
+    timestamp.getTime() / 1000,
+    format,
+    config?.ui.timezone,
+  );
+
+  const shouldDisplay = useMemo(() => {
+    return (
+      timestamp.getMinutes() % timestampSpread === 0 &&
+      timestamp.getSeconds() === 0
+    );
+  }, [timestamp, timestampSpread]);
 
   return (
     <div className="absolute left-[15px] z-10 h-[8px]">
-      {!isFirstSegmentInMinimap && !isLastSegmentInMinimap && (
+      {!isFirstSegmentInMinimap && !isLastSegmentInMinimap && shouldDisplay && (
         <div
           key={`${segmentKey}_timestamp`}
           className="pointer-events-none select-none text-[8px] text-neutral_variant dark:text-neutral"
diff --git a/web/src/components/ui/alert.tsx b/web/src/components/ui/alert.tsx
new file mode 100644
index 000000000..41fa7e056
--- /dev/null
+++ b/web/src/components/ui/alert.tsx
@@ -0,0 +1,59 @@
+import * as React from "react"
+import { cva, type VariantProps } from "class-variance-authority"
+
+import { cn } from "@/lib/utils"
+
+const alertVariants = cva(
+  "relative w-full rounded-lg border p-4 [&>svg~*]:pl-7 [&>svg+div]:translate-y-[-3px] [&>svg]:absolute [&>svg]:left-4 [&>svg]:top-4 [&>svg]:text-foreground",
+  {
+    variants: {
+      variant: {
+        default: "bg-background text-foreground",
+        destructive:
+          "border-destructive/50 text-destructive dark:border-destructive [&>svg]:text-destructive",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+    },
+  }
+)
+
+const Alert = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof alertVariants>
+>(({ className, variant, ...props }, ref) => (
+  <div
+    ref={ref}
+    role="alert"
+    className={cn(alertVariants({ variant }), className)}
+    {...props}
+  />
+))
+Alert.displayName = "Alert"
+
+const AlertTitle = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLHeadingElement>
+>(({ className, ...props }, ref) => (
+  <h5
+    ref={ref}
+    className={cn("mb-1 font-medium leading-none tracking-tight", className)}
+    {...props}
+  />
+))
+AlertTitle.displayName = "AlertTitle"
+
+const AlertDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn("text-sm [&_p]:leading-relaxed", className)}
+    {...props}
+  />
+))
+AlertDescription.displayName = "AlertDescription"
+
+export { Alert, AlertTitle, AlertDescription }
diff --git a/web/src/components/ui/calendar-range.tsx b/web/src/components/ui/calendar-range.tsx
index 66db9dd8e..f439cb082 100644
--- a/web/src/components/ui/calendar-range.tsx
+++ b/web/src/components/ui/calendar-range.tsx
@@ -12,6 +12,8 @@ import {
 import { Switch } from "./switch";
 import { cn } from "@/lib/utils";
 import { LuCheck } from "react-icons/lu";
+import { TZDate } from "react-day-picker";
+import { t } from "i18next";
 
 export interface DateRangePickerProps {
   /** Click handler for applying the updates from DateRangePicker. */
@@ -31,19 +33,24 @@ export interface DateRangePickerProps {
   locale?: string;
   /** Option for showing compare feature */
   showCompare?: boolean;
+  /** timezone */
+  timezone?: string;
 }
 
-const getDateAdjustedForTimezone = (dateInput: Date | string): Date => {
+const getDateAdjustedForTimezone = (
+  dateInput: Date | string,
+  timezone?: string,
+): Date => {
   if (typeof dateInput === "string") {
     // Split the date string to get year, month, and day parts
     const parts = dateInput.split("-").map((part) => parseInt(part, 10));
     // Create a new Date object using the local timezone
     // Note: Month is 0-indexed, so subtract 1 from the month part
-    const date = new Date(parts[0], parts[1] - 1, parts[2]);
+    const date = new TZDate(parts[0], parts[1] - 1, parts[2], timezone);
     return date;
   } else {
     // If dateInput is already a Date object, return it directly
-    return dateInput;
+    return new TZDate(dateInput, timezone);
   }
 };
 
@@ -59,20 +66,25 @@ interface Preset {
 
 // Define presets
 const PRESETS: Preset[] = [
-  { name: "today", label: "Today" },
-  { name: "yesterday", label: "Yesterday" },
-  { name: "last7", label: "Last 7 days" },
-  { name: "last14", label: "Last 14 days" },
-  { name: "last30", label: "Last 30 days" },
-  { name: "thisWeek", label: "This Week" },
-  { name: "lastWeek", label: "Last Week" },
-  { name: "thisMonth", label: "This Month" },
-  { name: "lastMonth", label: "Last Month" },
+  { name: "today", label: t("time.today", { ns: "common" }) },
+  { name: "yesterday", label: t("time.yesterday", { ns: "common" }) },
+  { name: "last7", label: t("time.last7", { ns: "common" }) },
+  { name: "last14", label: t("time.last14", { ns: "common" }) },
+  { name: "last30", label: t("time.last30", { ns: "common" }) },
+  { name: "thisWeek", label: t("time.thisWeek", { ns: "common" }) },
+  { name: "lastWeek", label: t("time.lastWeek", { ns: "common" }) },
+  { name: "thisMonth", label: t("time.thisMonth", { ns: "common" }) },
+  { name: "lastMonth", label: t("time.lastMonth", { ns: "common" }) },
 ];
 
 /** The DateRangePicker component allows a user to select a range of dates */
 export function DateRangePicker({
-  initialDateFrom = new Date(new Date().setHours(0, 0, 0, 0)),
+  timezone,
+  initialDateFrom = (() => {
+    const date = new TZDate(new Date(), timezone);
+    date.setHours(0, 0, 0, 0);
+    return date;
+  })(),
   initialDateTo,
   initialCompareFrom,
   initialCompareTo,
@@ -83,18 +95,27 @@ export function DateRangePicker({
   const [isOpen, setIsOpen] = useState(false);
 
   const [range, setRange] = useState<DateRange>({
-    from: getDateAdjustedForTimezone(initialDateFrom),
+    from: getDateAdjustedForTimezone(initialDateFrom, timezone),
     to: initialDateTo
-      ? getDateAdjustedForTimezone(initialDateTo)
-      : getDateAdjustedForTimezone(initialDateFrom),
+      ? getDateAdjustedForTimezone(initialDateTo, timezone)
+      : getDateAdjustedForTimezone(initialDateFrom, timezone),
   });
   const [rangeCompare, setRangeCompare] = useState<DateRange | undefined>(
     initialCompareFrom
       ? {
-          from: new Date(new Date(initialCompareFrom).setHours(0, 0, 0, 0)),
+          from: new TZDate(
+            new Date(initialCompareFrom).setHours(0, 0, 0, 0),
+            timezone,
+          ),
           to: initialCompareTo
-            ? new Date(new Date(initialCompareTo).setHours(0, 0, 0, 0))
-            : new Date(new Date(initialCompareFrom).setHours(0, 0, 0, 0)),
+            ? new TZDate(
+                new Date(initialCompareTo).setHours(0, 0, 0, 0),
+                timezone,
+              )
+            : new TZDate(
+                new Date(initialCompareFrom).setHours(0, 0, 0, 0),
+                timezone,
+              ),
         }
       : undefined,
   );
@@ -127,8 +148,8 @@ export function DateRangePicker({
   const getPresetRange = (presetName: string): DateRange => {
     const preset = PRESETS.find(({ name }) => name === presetName);
     if (!preset) throw new Error(`Unknown date range preset: ${presetName}`);
-    const from = new Date();
-    const to = new Date();
+    const from = new TZDate(new Date(), timezone);
+    const to = new TZDate(new Date(), timezone);
     const first = from.getDate() - from.getDay();
 
     switch (preset.name) {
@@ -190,16 +211,18 @@ export function DateRangePicker({
     setRange(range);
     if (rangeCompare) {
       const rangeCompare = {
-        from: new Date(
+        from: new TZDate(
           range.from.getFullYear() - 1,
           range.from.getMonth(),
           range.from.getDate(),
+          timezone,
         ),
         to: range.to
-          ? new Date(
+          ? new TZDate(
               range.to.getFullYear() - 1,
               range.to.getMonth(),
               range.to.getDate(),
+              timezone,
             )
           : undefined,
       };
@@ -211,16 +234,18 @@ export function DateRangePicker({
     for (const preset of PRESETS) {
       const presetRange = getPresetRange(preset.name);
 
-      const normalizedRangeFrom = new Date(range.from);
+      const normalizedRangeFrom = new TZDate(range.from, timezone);
       normalizedRangeFrom.setHours(0, 0, 0, 0);
-      const normalizedPresetFrom = new Date(
+      const normalizedPresetFrom = new TZDate(
         presetRange.from.setHours(0, 0, 0, 0),
+        timezone,
       );
 
-      const normalizedRangeTo = new Date(range.to ?? 0);
+      const normalizedRangeTo = new TZDate(range.to ?? new Date(0), timezone);
       normalizedRangeTo.setHours(0, 0, 0, 0);
-      const normalizedPresetTo = new Date(
+      const normalizedPresetTo = new TZDate(
         presetRange.to?.setHours(0, 0, 0, 0) ?? 0,
+        timezone,
       );
 
       if (
@@ -368,7 +393,11 @@ export function DateRangePicker({
                 }}
               >
                 <SelectTrigger className="mx-auto mb-2 w-[180px]">
-                  <SelectValue placeholder="Select..." />
+                  <SelectValue
+                    placeholder={t("dates.selectPreset", {
+                      ns: "components/filter",
+                    })}
+                  />
                 </SelectTrigger>
                 <SelectContent>
                   {PRESETS.map((preset) => (
@@ -396,6 +425,7 @@ export function DateRangePicker({
                     ),
                   )
                 }
+                timeZone={timezone}
               />
             </div>
           </div>
@@ -418,7 +448,7 @@ export function DateRangePicker({
       <div className="mx-auto flex w-64 items-center justify-evenly gap-2 py-2">
         <Button
           variant="select"
-          aria-label="Apply"
+          aria-label={t("button.apply", { ns: "common" })}
           onClick={() => {
             setIsOpen(false);
             if (
@@ -429,7 +459,7 @@ export function DateRangePicker({
             }
           }}
         >
-          Apply
+          {t("button.apply", { ns: "common" })}
         </Button>
         <Button
           onClick={() => {
@@ -438,9 +468,9 @@ export function DateRangePicker({
             onReset?.();
           }}
           variant="ghost"
-          aria-label="Reset"
+          aria-label={t("button.reset", { ns: "common" })}
         >
-          Reset
+          {t("button.reset", { ns: "common" })}
         </Button>
       </div>
     </div>
diff --git a/web/src/components/ui/calendar.tsx b/web/src/components/ui/calendar.tsx
index 792df0890..b91518d2a 100644
--- a/web/src/components/ui/calendar.tsx
+++ b/web/src/components/ui/calendar.tsx
@@ -1,9 +1,8 @@
-import * as React from "react";
 import { ChevronLeft, ChevronRight } from "lucide-react";
 import { DayPicker } from "react-day-picker";
-
 import { cn } from "@/lib/utils";
 import { buttonVariants } from "@/components/ui/button";
+import { useDateLocale } from "@/hooks/use-date-locale";
 
 export type CalendarProps = React.ComponentProps<typeof DayPicker>;
 
@@ -13,47 +12,64 @@ function Calendar({
   showOutsideDays = true,
   ...props
 }: CalendarProps) {
+  const locale = useDateLocale();
+
   return (
     <DayPicker
+      locale={locale}
+      navLayout={"around"}
       showOutsideDays={showOutsideDays}
       className={cn("p-3", className)}
       classNames={{
         months: "flex flex-col sm:flex-row space-y-4 sm:space-x-4 sm:space-y-0",
-        month: "space-y-4",
-        caption: "flex justify-center pt-1 relative items-center",
+        month: "relative",
+        month_caption: "flex justify-center pt-1 relative items-center",
+        month_grid: "w-full border-collapse space-y-1 mt-4",
         caption_label: "text-sm font-medium",
-        nav: "space-x-1 flex items-center",
-        nav_button: cn(
+        nav: "flex items-center justify-between",
+        button_previous: cn(
           buttonVariants({ variant: "outline" }),
-          "h-7 w-7 bg-transparent p-0 opacity-50 hover:opacity-100",
+          "h-7 w-7 absolute top-0 left-1 bg-transparent fill-primary p-0 opacity-50 hover:opacity-100 z-10",
         ),
-        nav_button_previous: "absolute left-1",
-        nav_button_next: "absolute right-1",
-        table: "w-full border-collapse space-y-1",
-        head_row: "flex justify-center",
-        head_cell:
+        button_next: cn(
+          buttonVariants({ variant: "outline" }),
+          "h-7 w-7 absolute top-0 right-1 bg-transparent fill-primary p-0 opacity-50 hover:opacity-100 z-10",
+        ),
+        weeks: "w-full border-collapse",
+        weekdays: "flex justify-center",
+        weekday:
           "text-muted-foreground rounded-md w-9 font-normal text-[0.8rem]",
-        row: "flex w-full mt-2 justify-center",
-        cell: "h-9 w-9 text-center text-sm p-0 relative [&:has([aria-selected].day-range-end)]:rounded-r-md [&:has([aria-selected].day-outside)]:bg-accent/50 [&:has([aria-selected])]:bg-accent first:[&:has([aria-selected])]:rounded-l-md last:[&:has([aria-selected])]:rounded-r-md focus-within:relative focus-within:z-20",
-        day: cn(
+        week: "flex w-full mt-2 justify-center",
+        day: "h-9 w-9 text-center text-sm p-0 relative aria-selected:opacity-100 first:aria-selected:rounded-l-md last:aria-selected:rounded-r-md",
+        day_button: cn(
           buttonVariants({ variant: "ghost" }),
-          "h-9 w-9 p-0 font-normal aria-selected:opacity-100",
+          "h-9 w-9 p-0 font-normal text-muted-foreground focus-within:relative focus-within:z-20",
         ),
-        day_range_end: "day-range-end",
-        day_selected:
-          "bg-selected text-white hover:bg-selected hover:text-white focus:bg-selected focus:text-white",
-        day_today: "bg-muted text-muted-foreground",
-        day_outside:
-          "day-outside text-muted-foreground opacity-50 aria-selected:bg-accent/50 aria-selected:text-muted-foreground aria-selected:opacity-30",
-        day_disabled: "text-muted-foreground opacity-50",
-        day_range_middle:
+        range_start:
+          "day-range-start !bg-accent rounded-l-md [&>button]:bg-selected [&>button]:text-white [&>button]:hover:bg-selected [&>button]:hover:text-white",
+        range_end:
+          "day-range-end !bg-accent rounded-r-md [&>button]:bg-selected [&>button]:text-white [&>button]:hover:bg-selected [&>button]:hover:text-white",
+        selected: cn(
+          props.mode === "range"
+            ? " [&>button]:hover:bg-selected [&>button]:hover:text-white focus:bg-selected focus:text-white  [&>button]:aria-selected:text-primary"
+            : " [&>button]:bg-selected [&>button]:text-white  [&>button]:hover:bg-selected  [&>button]:hover:text-white focus:bg-selected focus:text-white rounded-md",
+        ),
+        today: "bg-muted text-muted-foreground !rounded-md",
+        outside:
+          "day-outside text-muted-foreground opacity-50 !aria-selected:bg-accent/50 !aria-selected:text-muted-foreground !aria-selected:opacity-30",
+        disabled: "text-muted-foreground opacity-50",
+        range_middle:
           "aria-selected:bg-accent aria-selected:text-accent-foreground",
-        day_hidden: "invisible",
+        hidden: "invisible",
         ...classNames,
       }}
       components={{
-        IconLeft: () => <ChevronLeft className="h-4 w-4" />,
-        IconRight: () => <ChevronRight className="h-4 w-4" />,
+        Chevron: ({ ...props }) =>
+          props.orientation === "left" ? (
+            <ChevronLeft {...props} className="h-4 w-4" />
+          ) : (
+            <ChevronRight {...props} className="h-4 w-4" />
+          ),
       }}
       {...props}
     />
diff --git a/web/src/components/ui/carousel.tsx b/web/src/components/ui/carousel.tsx
index 7667f4e83..ea38705ee 100644
--- a/web/src/components/ui/carousel.tsx
+++ b/web/src/components/ui/carousel.tsx
@@ -6,6 +6,7 @@ import { ArrowLeft, ArrowRight } from "lucide-react";
 
 import { cn } from "@/lib/utils";
 import { Button } from "@/components/ui/button";
+import { useTranslation } from "react-i18next";
 
 type CarouselApi = UseEmblaCarouselType[1];
 type UseCarouselParameters = Parameters<typeof useEmblaCarousel>;
@@ -196,6 +197,7 @@ const CarouselPrevious = React.forwardRef<
   HTMLButtonElement,
   React.ComponentProps<typeof Button>
 >(({ className, variant = "outline", size = "icon", ...props }, ref) => {
+  const { t } = useTranslation(["views/explore"]);
   const { orientation, scrollPrev, canScrollPrev } = useCarousel();
 
   return (
@@ -210,13 +212,13 @@ const CarouselPrevious = React.forwardRef<
           : "-top-12 left-1/2 -translate-x-1/2 rotate-90",
         className,
       )}
-      aria-label="Previous slide"
+      aria-label={t("objectLifecycle.carousel.previous")}
       disabled={!canScrollPrev}
       onClick={scrollPrev}
       {...props}
     >
       <ArrowLeft className="h-4 w-4" />
-      <span className="sr-only">Previous slide</span>
+      <span className="sr-only">{t("objectLifecycle.carousel.previous")}</span>
     </Button>
   );
 });
@@ -226,6 +228,7 @@ const CarouselNext = React.forwardRef<
   HTMLButtonElement,
   React.ComponentProps<typeof Button>
 >(({ className, variant = "outline", size = "icon", ...props }, ref) => {
+  const { t } = useTranslation(["views/explore"]);
   const { orientation, scrollNext, canScrollNext } = useCarousel();
 
   return (
@@ -240,13 +243,13 @@ const CarouselNext = React.forwardRef<
           : "-bottom-12 left-1/2 -translate-x-1/2 rotate-90",
         className,
       )}
-      aria-label="Next slide"
+      aria-label={t("objectLifecycle.carousel.next")}
       disabled={!canScrollNext}
       onClick={scrollNext}
       {...props}
     >
       <ArrowRight className="h-4 w-4" />
-      <span className="sr-only">Next slide</span>
+      <span className="sr-only">{t("objectLifecycle.carousel.next")}</span>
     </Button>
   );
 });
diff --git a/web/src/components/ui/dialog.tsx b/web/src/components/ui/dialog.tsx
index bcaf970c6..c7117cd3f 100644
--- a/web/src/components/ui/dialog.tsx
+++ b/web/src/components/ui/dialog.tsx
@@ -1,16 +1,80 @@
-import * as React from "react"
-import * as DialogPrimitive from "@radix-ui/react-dialog"
-import { X } from "lucide-react"
+import * as React from "react";
+import * as DialogPrimitive from "@radix-ui/react-dialog";
+import { X } from "lucide-react";
+import { cn } from "@/lib/utils";
 
-import { cn } from "@/lib/utils"
+// Enhanced Dialog with History Support
+interface HistoryDialogProps extends DialogPrimitive.DialogProps {
+  enableHistoryBack?: boolean;
+}
 
-const Dialog = DialogPrimitive.Root
+const Dialog = ({
+  enableHistoryBack = false,
+  open,
+  onOpenChange,
+  ...props
+}: HistoryDialogProps) => {
+  const [internalOpen, setInternalOpen] = React.useState(open || false);
+  const historyStateRef = React.useRef<null | {
+    listener: (e: PopStateEvent) => void;
+  }>(null);
 
-const DialogTrigger = DialogPrimitive.Trigger
+  React.useEffect(() => {
+    if (open !== undefined) {
+      setInternalOpen(open);
+    }
+  }, [open]);
 
-const DialogPortal = DialogPrimitive.Portal
+  React.useEffect(() => {
+    if (enableHistoryBack) {
+      if (internalOpen) {
+        window.history.pushState({ dialogOpen: true }, "");
 
-const DialogClose = DialogPrimitive.Close
+        const listener = () => {
+          setInternalOpen(false);
+          if (onOpenChange) onOpenChange(false);
+        };
+
+        historyStateRef.current = { listener };
+        window.addEventListener("popstate", listener);
+
+        return () => {
+          if (internalOpen) {
+            window.removeEventListener("popstate", listener);
+            historyStateRef.current = null;
+          }
+        };
+      } else if (historyStateRef.current) {
+        window.removeEventListener(
+          "popstate",
+          historyStateRef.current.listener,
+        );
+        historyStateRef.current = null;
+      }
+    }
+  }, [enableHistoryBack, internalOpen, onOpenChange]);
+
+  const handleOpenChange = (open: boolean) => {
+    setInternalOpen(open);
+    if (onOpenChange) {
+      onOpenChange(open);
+    }
+  };
+
+  return (
+    <DialogPrimitive.Root
+      {...props}
+      open={internalOpen}
+      onOpenChange={handleOpenChange}
+    />
+  );
+};
+
+Dialog.displayName = "Dialog";
+
+const DialogTrigger = DialogPrimitive.Trigger;
+const DialogPortal = DialogPrimitive.Portal;
+const DialogClose = DialogPrimitive.Close;
 
 const DialogOverlay = React.forwardRef<
   React.ElementRef<typeof DialogPrimitive.Overlay>,
@@ -20,12 +84,12 @@ const DialogOverlay = React.forwardRef<
     ref={ref}
     className={cn(
       "fixed inset-0 z-50 bg-background/80 backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
-      className
+      className,
     )}
     {...props}
   />
-))
-DialogOverlay.displayName = DialogPrimitive.Overlay.displayName
+));
+DialogOverlay.displayName = DialogPrimitive.Overlay.displayName;
 
 const DialogContent = React.forwardRef<
   React.ElementRef<typeof DialogPrimitive.Content>,
@@ -37,19 +101,19 @@ const DialogContent = React.forwardRef<
       ref={ref}
       className={cn(
         "fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] sm:rounded-lg",
-        className
+        className,
       )}
       {...props}
     >
       {children}
-      <DialogPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-accent data-[state=open]:text-muted-foreground">
+      <DialogPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity data-[state=open]:bg-accent data-[state=open]:text-muted-foreground hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none">
         <X className="h-4 w-4" />
         <span className="sr-only">Close</span>
       </DialogPrimitive.Close>
     </DialogPrimitive.Content>
   </DialogPortal>
-))
-DialogContent.displayName = DialogPrimitive.Content.displayName
+));
+DialogContent.displayName = DialogPrimitive.Content.displayName;
 
 const DialogHeader = ({
   className,
@@ -58,12 +122,12 @@ const DialogHeader = ({
   <div
     className={cn(
       "flex flex-col space-y-1.5 text-center sm:text-left",
-      className
+      className,
     )}
     {...props}
   />
-)
-DialogHeader.displayName = "DialogHeader"
+);
+DialogHeader.displayName = "DialogHeader";
 
 const DialogFooter = ({
   className,
@@ -72,12 +136,12 @@ const DialogFooter = ({
   <div
     className={cn(
       "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
-      className
+      className,
     )}
     {...props}
   />
-)
-DialogFooter.displayName = "DialogFooter"
+);
+DialogFooter.displayName = "DialogFooter";
 
 const DialogTitle = React.forwardRef<
   React.ElementRef<typeof DialogPrimitive.Title>,
@@ -87,12 +151,12 @@ const DialogTitle = React.forwardRef<
     ref={ref}
     className={cn(
       "text-lg font-semibold leading-none tracking-tight",
-      className
+      className,
     )}
     {...props}
   />
-))
-DialogTitle.displayName = DialogPrimitive.Title.displayName
+));
+DialogTitle.displayName = DialogPrimitive.Title.displayName;
 
 const DialogDescription = React.forwardRef<
   React.ElementRef<typeof DialogPrimitive.Description>,
@@ -103,8 +167,8 @@ const DialogDescription = React.forwardRef<
     className={cn("text-sm text-muted-foreground", className)}
     {...props}
   />
-))
-DialogDescription.displayName = DialogPrimitive.Description.displayName
+));
+DialogDescription.displayName = DialogPrimitive.Description.displayName;
 
 export {
   Dialog,
@@ -117,4 +181,4 @@ export {
   DialogFooter,
   DialogTitle,
   DialogDescription,
-}
+};
diff --git a/web/src/components/ui/pagination.tsx b/web/src/components/ui/pagination.tsx
new file mode 100644
index 000000000..35e095af1
--- /dev/null
+++ b/web/src/components/ui/pagination.tsx
@@ -0,0 +1,118 @@
+import * as React from "react";
+import { ChevronLeft, ChevronRight, MoreHorizontal } from "lucide-react";
+
+import { cn } from "@/lib/utils";
+import { ButtonProps, buttonVariants } from "@/components/ui/button";
+import { t } from "i18next";
+
+const Pagination = ({ className, ...props }: React.ComponentProps<"nav">) => (
+  <nav
+    role="navigation"
+    aria-label={t("pagination.label", { ns: "common" })}
+    className={cn("mx-auto flex w-full justify-center", className)}
+    {...props}
+  />
+);
+Pagination.displayName = "Pagination";
+
+const PaginationContent = React.forwardRef<
+  HTMLUListElement,
+  React.ComponentProps<"ul">
+>(({ className, ...props }, ref) => (
+  <ul
+    ref={ref}
+    className={cn("flex flex-row items-center gap-1", className)}
+    {...props}
+  />
+));
+PaginationContent.displayName = "PaginationContent";
+
+const PaginationItem = React.forwardRef<
+  HTMLLIElement,
+  React.ComponentProps<"li">
+>(({ className, ...props }, ref) => (
+  <li ref={ref} className={cn("", className)} {...props} />
+));
+PaginationItem.displayName = "PaginationItem";
+
+type PaginationLinkProps = {
+  isActive?: boolean;
+} & Pick<ButtonProps, "size"> &
+  React.ComponentProps<"a">;
+
+const PaginationLink = ({
+  className,
+  isActive,
+  size = "icon",
+  ...props
+}: PaginationLinkProps) => (
+  <a
+    aria-current={isActive ? "page" : undefined}
+    className={cn(
+      buttonVariants({
+        variant: isActive ? "outline" : "ghost",
+        size,
+      }),
+      className,
+    )}
+    {...props}
+  />
+);
+PaginationLink.displayName = "PaginationLink";
+
+const PaginationPrevious = ({
+  className,
+  ...props
+}: React.ComponentProps<typeof PaginationLink>) => (
+  <PaginationLink
+    aria-label={t("pagination.previous.label", { ns: "common" })}
+    size="default"
+    className={cn("gap-1 pl-2.5", className)}
+    {...props}
+  >
+    <ChevronLeft className="h-4 w-4" />
+    <span>{t("pagination.previous.title", { ns: "common" })}</span>
+  </PaginationLink>
+);
+PaginationPrevious.displayName = "PaginationPrevious";
+
+const PaginationNext = ({
+  className,
+  ...props
+}: React.ComponentProps<typeof PaginationLink>) => (
+  <PaginationLink
+    aria-label={t("pagination.next.label", { ns: "common" })}
+    size="default"
+    className={cn("gap-1 pr-2.5", className)}
+    {...props}
+  >
+    <span>{t("pagination.next.title", { ns: "common" })}</span>
+    <ChevronRight className="h-4 w-4" />
+  </PaginationLink>
+);
+PaginationNext.displayName = "PaginationNext";
+
+const PaginationEllipsis = ({
+  className,
+  ...props
+}: React.ComponentProps<"span">) => (
+  <span
+    aria-hidden
+    className={cn("flex h-9 w-9 items-center justify-center", className)}
+    {...props}
+  >
+    <MoreHorizontal className="h-4 w-4" />
+    <span className="sr-only">{t("pagination.more", { ns: "common" })}</span>
+  </span>
+);
+PaginationEllipsis.displayName = "PaginationEllipsis";
+
+export {
+  Pagination,
+  PaginationContent,
+  PaginationEllipsis,
+  PaginationItem,
+  PaginationLink,
+  PaginationNext,
+  PaginationPrevious,
+};
diff --git a/web/src/components/ui/sheet.tsx b/web/src/components/ui/sheet.tsx
index 34e5dcaf3..7ef05478f 100644
--- a/web/src/components/ui/sheet.tsx
+++ b/web/src/components/ui/sheet.tsx
@@ -1,17 +1,84 @@
-import * as React from "react"
-import * as SheetPrimitive from "@radix-ui/react-dialog"
-import { cva, type VariantProps } from "class-variance-authority"
-import { X } from "lucide-react"
+import * as React from "react";
+import * as SheetPrimitive from "@radix-ui/react-dialog";
+import { cva, type VariantProps } from "class-variance-authority";
+import { X } from "lucide-react";
 
-import { cn } from "@/lib/utils"
+import { cn } from "@/lib/utils";
 
-const Sheet = SheetPrimitive.Root
+// Enhanced Sheet with History Support
+interface HistorySheetProps extends SheetPrimitive.DialogProps {
+  enableHistoryBack?: boolean;
+}
 
-const SheetTrigger = SheetPrimitive.Trigger
+const Sheet = ({
+  enableHistoryBack = false,
+  open,
+  onOpenChange,
+  ...props
+}: HistorySheetProps) => {
+  const [internalOpen, setInternalOpen] = React.useState(open || false);
+  const historyStateRef = React.useRef<null | {
+    listener: (e: PopStateEvent) => void;
+  }>(null);
 
-const SheetClose = SheetPrimitive.Close
+  React.useEffect(() => {
+    if (open !== undefined) {
+      setInternalOpen(open);
+    }
+  }, [open]);
 
-const SheetPortal = SheetPrimitive.Portal
+  React.useEffect(() => {
+    if (enableHistoryBack) {
+      if (internalOpen) {
+        window.history.pushState({ sheetOpen: true }, "");
+
+        const listener = () => {
+          setInternalOpen(false);
+          if (onOpenChange) onOpenChange(false);
+        };
+
+        historyStateRef.current = { listener };
+        window.addEventListener("popstate", listener);
+
+        return () => {
+          if (internalOpen) {
+            window.removeEventListener("popstate", listener);
+            historyStateRef.current = null;
+          }
+        };
+      } else if (historyStateRef.current) {
+        window.removeEventListener(
+          "popstate",
+          historyStateRef.current.listener,
+        );
+        historyStateRef.current = null;
+      }
+    }
+  }, [enableHistoryBack, internalOpen, onOpenChange]);
+
+  const handleOpenChange = (open: boolean) => {
+    setInternalOpen(open);
+    if (onOpenChange) {
+      onOpenChange(open);
+    }
+  };
+
+  return (
+    <SheetPrimitive.Root
+      {...props}
+      open={internalOpen}
+      onOpenChange={handleOpenChange}
+    />
+  );
+};
+
+Sheet.displayName = "Sheet";
+
+const SheetTrigger = SheetPrimitive.Trigger;
+
+const SheetClose = SheetPrimitive.Close;
+
+const SheetPortal = SheetPrimitive.Portal;
 
 const SheetOverlay = React.forwardRef<
   React.ElementRef<typeof SheetPrimitive.Overlay>,
@@ -20,13 +87,13 @@ const SheetOverlay = React.forwardRef<
   <SheetPrimitive.Overlay
     className={cn(
       "fixed inset-0 z-50 bg-background/80 backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
-      className
+      className,
     )}
     {...props}
     ref={ref}
   />
-))
-SheetOverlay.displayName = SheetPrimitive.Overlay.displayName
+));
+SheetOverlay.displayName = SheetPrimitive.Overlay.displayName;
 
 const sheetVariants = cva(
   "fixed z-50 gap-4 bg-background p-6 shadow-lg transition ease-in-out data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:duration-300 data-[state=open]:duration-500",
@@ -44,8 +111,8 @@ const sheetVariants = cva(
     defaultVariants: {
       side: "right",
     },
-  }
-)
+  },
+);
 
 interface SheetContentProps
   extends React.ComponentPropsWithoutRef<typeof SheetPrimitive.Content>,
@@ -63,14 +130,14 @@ const SheetContent = React.forwardRef<
       {...props}
     >
       {children}
-      <SheetPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-secondary">
+      <SheetPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity data-[state=open]:bg-secondary hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none">
         <X className="h-4 w-4" />
         <span className="sr-only">Close</span>
       </SheetPrimitive.Close>
     </SheetPrimitive.Content>
   </SheetPortal>
-))
-SheetContent.displayName = SheetPrimitive.Content.displayName
+));
+SheetContent.displayName = SheetPrimitive.Content.displayName;
 
 const SheetHeader = ({
   className,
@@ -79,12 +146,12 @@ const SheetHeader = ({
   <div
     className={cn(
       "flex flex-col space-y-2 text-center sm:text-left",
-      className
+      className,
     )}
     {...props}
   />
-)
-SheetHeader.displayName = "SheetHeader"
+);
+SheetHeader.displayName = "SheetHeader";
 
 const SheetFooter = ({
   className,
@@ -93,12 +160,12 @@ const SheetFooter = ({
   <div
     className={cn(
       "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
-      className
+      className,
     )}
     {...props}
   />
-)
-SheetFooter.displayName = "SheetFooter"
+);
+SheetFooter.displayName = "SheetFooter";
 
 const SheetTitle = React.forwardRef<
   React.ElementRef<typeof SheetPrimitive.Title>,
@@ -109,8 +176,8 @@ const SheetTitle = React.forwardRef<
     className={cn("text-lg font-semibold text-foreground", className)}
     {...props}
   />
-))
-SheetTitle.displayName = SheetPrimitive.Title.displayName
+));
+SheetTitle.displayName = SheetPrimitive.Title.displayName;
 
 const SheetDescription = React.forwardRef<
   React.ElementRef<typeof SheetPrimitive.Description>,
@@ -121,8 +188,8 @@ const SheetDescription = React.forwardRef<
     className={cn("text-sm text-muted-foreground", className)}
     {...props}
   />
-))
-SheetDescription.displayName = SheetPrimitive.Description.displayName
+));
+SheetDescription.displayName = SheetPrimitive.Description.displayName;
 
 export {
   Sheet,
@@ -135,4 +202,4 @@ export {
   SheetFooter,
   SheetTitle,
   SheetDescription,
-}
+};
diff --git a/web/src/components/ui/slider.tsx b/web/src/components/ui/slider.tsx
index 1dde1df67..3cb4165e9 100644
--- a/web/src/components/ui/slider.tsx
+++ b/web/src/components/ui/slider.tsx
@@ -18,7 +18,7 @@ const Slider = React.forwardRef<
     <SliderPrimitive.Track className="relative h-2 w-full grow overflow-hidden rounded-full bg-secondary">
       <SliderPrimitive.Range className="absolute h-full bg-primary" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-5 w-5 rounded-full cursor-pointer border-2 border-primary bg-primary ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50" />
+    <SliderPrimitive.Thumb className="block h-5 w-5 cursor-pointer rounded-full border-2 border-primary bg-primary ring-offset-background transition-colors data-[disabled]:pointer-events-none data-[disabled]:opacity-50 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2" />
   </SliderPrimitive.Root>
 ));
 Slider.displayName = SliderPrimitive.Root.displayName;
@@ -36,9 +36,9 @@ const VolumeSlider = React.forwardRef<
     {...props}
   >
     <SliderPrimitive.Track className="relative h-1 w-full grow overflow-hidden rounded-full bg-muted">
-      <SliderPrimitive.Range className="absolute h-full bg-white" />
+      <SliderPrimitive.Range className="absolute h-full bg-primary data-[disabled]:opacity-20" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-3 w-3 rounded-full bg-white ring-white focus:ring-white disabled:pointer-events-none disabled:opacity-50" />
+    <SliderPrimitive.Thumb className="block h-3 w-3 rounded-full bg-primary ring-primary data-[disabled]:pointer-events-none data-[disabled]:bg-muted focus:ring-primary" />
   </SliderPrimitive.Root>
 ));
 VolumeSlider.displayName = SliderPrimitive.Root.displayName;
@@ -58,7 +58,7 @@ const NoThumbSlider = React.forwardRef<
     <SliderPrimitive.Track className="relative h-full w-full grow overflow-hidden rounded-full">
       <SliderPrimitive.Range className="absolute h-full bg-selected" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-4 w-16 rounded-full bg-transparent -translate-y-[50%] ring-offset-transparent focus-visible:outline-none focus-visible:ring-transparent disabled:pointer-events-none disabled:opacity-50 cursor-col-resize" />
+    <SliderPrimitive.Thumb className="block h-4 w-16 -translate-y-[50%] cursor-col-resize rounded-full bg-transparent ring-offset-transparent data-[disabled]:pointer-events-none data-[disabled]:opacity-50 focus-visible:outline-none focus-visible:ring-transparent" />
   </SliderPrimitive.Root>
 ));
 NoThumbSlider.displayName = SliderPrimitive.Root.displayName;
@@ -78,8 +78,8 @@ const DualThumbSlider = React.forwardRef<
     <SliderPrimitive.Track className="relative h-1 w-full grow overflow-hidden rounded-full bg-selected/60">
       <SliderPrimitive.Range className="absolute h-full bg-selected" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block size-3 rounded-full bg-selected transition-colors cursor-col-resize disabled:pointer-events-none disabled:opacity-50" />
-    <SliderPrimitive.Thumb className="block size-3 rounded-full bg-selected transition-colors cursor-col-resize disabled:pointer-events-none disabled:opacity-50" />
+    <SliderPrimitive.Thumb className="block size-3 cursor-col-resize rounded-full bg-selected transition-colors data-[disabled]:pointer-events-none data-[disabled]:opacity-50" />
+    <SliderPrimitive.Thumb className="block size-3 cursor-col-resize rounded-full bg-selected transition-colors data-[disabled]:pointer-events-none data-[disabled]:opacity-50" />
   </SliderPrimitive.Root>
 ));
 DualThumbSlider.displayName = SliderPrimitive.Root.displayName;
diff --git a/web/src/context/auth-context.tsx b/web/src/context/auth-context.tsx
new file mode 100644
index 000000000..a047d6fa3
--- /dev/null
+++ b/web/src/context/auth-context.tsx
@@ -0,0 +1,74 @@
+import axios from "axios";
+import { createContext, useEffect, useState } from "react";
+import useSWR from "swr";
+
+interface AuthState {
+  user: { username: string; role: "admin" | "viewer" | null } | null;
+  isLoading: boolean;
+  isAuthenticated: boolean; // true if auth is required
+}
+
+interface AuthContextType {
+  auth: AuthState;
+  login: (user: AuthState["user"]) => void;
+  logout: () => void;
+}
+
+export const AuthContext = createContext<AuthContextType>({
+  auth: { user: null, isLoading: true, isAuthenticated: false },
+  login: () => {},
+  logout: () => {},
+});
+
+export function AuthProvider({ children }: { children: React.ReactNode }) {
+  const [auth, setAuth] = useState<AuthState>({
+    user: null,
+    isLoading: true,
+    isAuthenticated: false,
+  });
+
+  const { data: profile, error } = useSWR("/profile", {
+    revalidateOnFocus: false,
+    revalidateOnReconnect: true,
+    fetcher: (url) =>
+      axios.get(url, { withCredentials: true }).then((res) => res.data),
+  });
+
+  useEffect(() => {
+    if (error) {
+      if (axios.isAxiosError(error) && error.response?.status === 401) {
+        // auth required but not logged in
+        setAuth({ user: null, isLoading: false, isAuthenticated: true });
+      }
+      return;
+    }
+
+    if (profile) {
+      if (profile.username && profile.username !== "anonymous") {
+        const newUser = {
+          username: profile.username,
+          role: profile.role || "viewer",
+        };
+        setAuth({ user: newUser, isLoading: false, isAuthenticated: true });
+      } else {
+        // Unauthenticated mode (anonymous)
+        setAuth({ user: null, isLoading: false, isAuthenticated: false });
+      }
+    }
+  }, [profile, error]);
+
+  const login = (user: AuthState["user"]) => {
+    setAuth({ user, isLoading: false, isAuthenticated: true });
+  };
+
+  const logout = () => {
+    setAuth({ user: null, isLoading: false, isAuthenticated: true });
+    axios.get("/logout", { withCredentials: true });
+  };
+
+  return (
+    <AuthContext.Provider value={{ auth, login, logout }}>
+      {children}
+    </AuthContext.Provider>
+  );
+}
diff --git a/web/src/context/language-provider.tsx b/web/src/context/language-provider.tsx
new file mode 100644
index 000000000..88ade5032
--- /dev/null
+++ b/web/src/context/language-provider.tsx
@@ -0,0 +1,94 @@
+import { createContext, useContext, useState, useEffect, useMemo } from "react";
+import i18next from "i18next";
+import { supportedLanguageKeys } from "@/lib/const";
+
+type LanguageProviderState = {
+  language: string;
+  setLanguage: (language: string) => void;
+};
+
+const initialState: LanguageProviderState = {
+  language: i18next.language || "en",
+  setLanguage: () => null,
+};
+
+const LanguageProviderContext =
+  createContext<LanguageProviderState>(initialState);
+
+export function LanguageProvider({
+  children,
+  defaultLanguage = "en",
+  storageKey = "frigate-ui-language",
+  ...props
+}: {
+  children: React.ReactNode;
+  defaultLanguage?: string;
+  storageKey?: string;
+}) {
+  const systemLanguage = useMemo<string>(() => {
+    if (typeof window === "undefined") return defaultLanguage;
+
+    const systemLanguage = window.navigator.language;
+
+    if (supportedLanguageKeys.includes(systemLanguage)) {
+      return systemLanguage;
+    }
+
+    // browser languages may include a -REGION (ex: en-US)
+    if (systemLanguage.includes("-")) {
+      const shortenedSystemLanguage = systemLanguage.split("-")[0];
+
+      if (supportedLanguageKeys.includes(shortenedSystemLanguage)) {
+        return shortenedSystemLanguage;
+      }
+    }
+
+    return defaultLanguage;
+  }, [defaultLanguage]);
+
+  const [language, setLanguage] = useState<string>(() => {
+    try {
+      const storedData = localStorage.getItem(storageKey);
+      const newLanguage = storedData || systemLanguage;
+      i18next.changeLanguage(newLanguage);
+      return newLanguage;
+    } catch (error) {
+      // eslint-disable-next-line no-console
+      console.error("Error retrieving language data from storage:", error);
+      return defaultLanguage;
+    }
+  });
+
+  useEffect(() => {
+    // set document lang for smart capitalization
+    document.documentElement.lang = language;
+
+    if (language === systemLanguage) return;
+    i18next.changeLanguage(language);
+  }, [language, systemLanguage]);
+
+  const value = {
+    language,
+    setLanguage: (language: string) => {
+      localStorage.setItem(storageKey, language);
+      setLanguage(language);
+      window.location.reload();
+    },
+  };
+
+  return (
+    <LanguageProviderContext.Provider {...props} value={value}>
+      {children}
+    </LanguageProviderContext.Provider>
+  );
+}
+
+// eslint-disable-next-line react-refresh/only-export-components
+export const useLanguage = () => {
+  const context = useContext(LanguageProviderContext);
+
+  if (context === undefined)
+    throw new Error("useLanguage must be used within a LanguageProvider");
+
+  return context;
+};
diff --git a/web/src/context/providers.tsx b/web/src/context/providers.tsx
index fe5e931e7..310ab1724 100644
--- a/web/src/context/providers.tsx
+++ b/web/src/context/providers.tsx
@@ -5,6 +5,9 @@ import { ApiProvider } from "@/api";
 import { IconContext } from "react-icons";
 import { TooltipProvider } from "@/components/ui/tooltip";
 import { StatusBarMessagesProvider } from "@/context/statusbar-provider";
+import { LanguageProvider } from "./language-provider";
+import { StreamingSettingsProvider } from "./streaming-settings-provider";
+import { AuthProvider } from "./auth-context";
 
 type TProvidersProps = {
   children: ReactNode;
@@ -13,15 +16,23 @@ type TProvidersProps = {
 function providers({ children }: TProvidersProps) {
   return (
     <RecoilRoot>
-      <ApiProvider>
-        <ThemeProvider defaultTheme="system" storageKey="frigate-ui-theme">
-          <TooltipProvider>
-            <IconContext.Provider value={{ size: "20" }}>
-              <StatusBarMessagesProvider>{children}</StatusBarMessagesProvider>
-            </IconContext.Provider>
-          </TooltipProvider>
-        </ThemeProvider>
-      </ApiProvider>
+      <AuthProvider>
+        <ApiProvider>
+          <ThemeProvider defaultTheme="system" storageKey="frigate-ui-theme">
+            <LanguageProvider>
+              <TooltipProvider>
+                <IconContext.Provider value={{ size: "20" }}>
+                  <StatusBarMessagesProvider>
+                    <StreamingSettingsProvider>
+                      {children}
+                    </StreamingSettingsProvider>
+                  </StatusBarMessagesProvider>
+                </IconContext.Provider>
+              </TooltipProvider>
+            </LanguageProvider>
+          </ThemeProvider>
+        </ApiProvider>
+      </AuthProvider>
     </RecoilRoot>
   );
 }
diff --git a/web/src/context/streaming-settings-provider.tsx b/web/src/context/streaming-settings-provider.tsx
new file mode 100644
index 000000000..82558722e
--- /dev/null
+++ b/web/src/context/streaming-settings-provider.tsx
@@ -0,0 +1,68 @@
+import {
+  createContext,
+  useState,
+  useEffect,
+  ReactNode,
+  useContext,
+} from "react";
+import { AllGroupsStreamingSettings } from "@/types/frigateConfig";
+import { usePersistence } from "@/hooks/use-persistence";
+
+type StreamingSettingsContextType = {
+  allGroupsStreamingSettings: AllGroupsStreamingSettings;
+  setAllGroupsStreamingSettings: (settings: AllGroupsStreamingSettings) => void;
+  isPersistedStreamingSettingsLoaded: boolean;
+};
+
+const StreamingSettingsContext =
+  createContext<StreamingSettingsContextType | null>(null);
+
+export function StreamingSettingsProvider({
+  children,
+}: {
+  children: ReactNode;
+}) {
+  const [allGroupsStreamingSettings, setAllGroupsStreamingSettings] =
+    useState<AllGroupsStreamingSettings>({});
+
+  const [
+    persistedGroupStreamingSettings,
+    setPersistedGroupStreamingSettings,
+    isPersistedStreamingSettingsLoaded,
+  ] = usePersistence<AllGroupsStreamingSettings>("streaming-settings");
+
+  useEffect(() => {
+    if (isPersistedStreamingSettingsLoaded) {
+      setAllGroupsStreamingSettings(persistedGroupStreamingSettings ?? {});
+    }
+  }, [isPersistedStreamingSettingsLoaded, persistedGroupStreamingSettings]);
+
+  useEffect(() => {
+    if (Object.keys(allGroupsStreamingSettings).length) {
+      setPersistedGroupStreamingSettings(allGroupsStreamingSettings);
+    }
+  }, [allGroupsStreamingSettings, setPersistedGroupStreamingSettings]);
+
+  return (
+    <StreamingSettingsContext.Provider
+      value={{
+        allGroupsStreamingSettings,
+        setAllGroupsStreamingSettings,
+        isPersistedStreamingSettingsLoaded,
+      }}
+    >
+      {children}
+    </StreamingSettingsContext.Provider>
+  );
+}
+
+// eslint-disable-next-line react-refresh/only-export-components
+export function useStreamingSettings() {
+  const context = useContext(StreamingSettingsContext);
+  if (!context) {
+    throw new Error(
+      "useStreamingSettings must be used within a StreamingSettingsProvider",
+    );
+  }
+  return context;
+}
diff --git a/web/src/context/theme-provider.tsx b/web/src/context/theme-provider.tsx
index 764e0d8e9..d2be5e7ee 100644
--- a/web/src/context/theme-provider.tsx
+++ b/web/src/context/theme-provider.tsx
@@ -23,9 +23,7 @@ export const colorSchemes: ColorScheme[] = [
 // eslint-disable-next-line react-refresh/only-export-components
 export const friendlyColorSchemeName = (className: string): string => {
   const words = className.split("-").slice(1); // Exclude the first word (e.g., 'theme')
-  return words
-    .map((word) => word.charAt(0).toUpperCase() + word.slice(1))
-    .join(" ");
+  return "menu.theme." + words.join("");
 };
 
 type ThemeProviderProps = {
diff --git a/web/src/hooks/resize-observer.ts b/web/src/hooks/resize-observer.ts
index 57f55817a..1e174af7e 100644
--- a/web/src/hooks/resize-observer.ts
+++ b/web/src/hooks/resize-observer.ts
@@ -17,7 +17,15 @@ export function useResizeObserver(...refs: RefType[]) {
     () =>
       new ResizeObserver((entries) => {
         window.requestAnimationFrame(() => {
-          setDimensions(entries.map((entry) => entry.contentRect));
+          setDimensions((prevDimensions) => {
+            const newDimensions = entries.map((entry) => entry.contentRect);
+            if (
+              JSON.stringify(prevDimensions) !== JSON.stringify(newDimensions)
+            ) {
+              return newDimensions;
+            }
+            return prevDimensions;
+          });
         });
       }),
     [],
diff --git a/web/src/hooks/use-api-filter.ts b/web/src/hooks/use-api-filter.ts
index bffbff7e8..f9baead6e 100644
--- a/web/src/hooks/use-api-filter.ts
+++ b/web/src/hooks/use-api-filter.ts
@@ -47,9 +47,9 @@ export default function useApiFilter<
   return [filter, setFilter, searchParams];
 }
 
-export function useApiFilterArgs<
-  F extends FilterType,
->(): useApiFilterReturn<F> {
+export function useApiFilterArgs<F extends FilterType>(
+  arrayKeys: string[],
+): useApiFilterReturn<F> {
   const [rawParams, setRawParams] = useSearchParams();
 
   const setFilter = useCallback(
@@ -64,30 +64,37 @@ export function useApiFilterArgs<
 
     const filter: { [key: string]: unknown } = {};
 
-    rawParams.forEach((value, key) => {
-      const isValidNumber = /^-?\d+(\.\d+)?(?!.)/.test(value);
-      const isValidEventID = /^\d+\.\d+-[a-zA-Z0-9]+$/.test(value);
+    // always treat these keys as string[], not as a number or event id
+    const arrayKeySet = new Set(arrayKeys);
 
-      if (
-        value != "true" &&
-        value != "false" &&
-        !isValidNumber &&
-        !isValidEventID
-      ) {
+    rawParams.forEach((value, key) => {
+      if (arrayKeySet.has(key)) {
         filter[key] = value.includes(",") ? value.split(",") : [value];
       } else {
-        if (value != undefined) {
-          try {
-            filter[key] = JSON.parse(value);
-          } catch {
-            filter[key] = `${value}`;
+        const isValidNumber = /^-?\d+(\.\d+)?(?!.)/.test(value);
+        const isValidEventID = /^\d+\.\d+-[a-zA-Z0-9]+$/.test(value);
+
+        if (
+          value != "true" &&
+          value != "false" &&
+          !isValidNumber &&
+          !isValidEventID
+        ) {
+          filter[key] = value.includes(",") ? value.split(",") : [value];
+        } else {
+          if (value != undefined) {
+            try {
+              filter[key] = JSON.parse(value);
+            } catch {
+              filter[key] = `${value}`;
+            }
           }
         }
       }
     });
 
     return filter as F;
-  }, [rawParams]);
+  }, [rawParams, arrayKeys]);
 
   const searchParams = useMemo(() => {
     if (filter == undefined || Object.keys(filter).length == 0) {
diff --git a/web/src/hooks/use-camera-activity.ts b/web/src/hooks/use-camera-activity.ts
index bbf70ba32..b81ad54b0 100644
--- a/web/src/hooks/use-camera-activity.ts
+++ b/web/src/hooks/use-camera-activity.ts
@@ -1,4 +1,5 @@
 import {
+  useEnabledState,
   useFrigateEvents,
   useInitialCameraState,
   useMotionActivity,
@@ -15,6 +16,7 @@ import useSWR from "swr";
 import { getAttributeLabels } from "@/utils/iconUtil";
 
 type useCameraActivityReturn = {
+  enabled?: boolean;
   activeTracking: boolean;
   activeMotion: boolean;
   objects: ObjectType[];
@@ -35,7 +37,7 @@ export function useCameraActivity(
 
     return getAttributeLabels(config);
   }, [config]);
-  const [objects, setObjects] = useState<ObjectType[]>([]);
+  const [objects, setObjects] = useState<ObjectType[] | undefined>([]);
 
   // init camera activity
 
@@ -52,10 +54,11 @@ export function useCameraActivity(
   // handle camera activity
 
   const hasActiveObjects = useMemo(
-    () => objects.filter((obj) => !obj.stationary).length > 0,
+    () => (objects || []).filter((obj) => !obj?.stationary)?.length > 0,
     [objects],
   );
 
+  const { payload: cameraEnabled } = useEnabledState(camera.name);
   const { payload: detectingMotion } = useMotionActivity(camera.name);
   const { payload: event } = useFrigateEvents();
   const updatedEvent = useDeepMemo(event);
@@ -78,11 +81,10 @@ export function useCameraActivity(
       return;
     }
 
-    const updatedEventIndex = objects.findIndex(
-      (obj) => obj.id === updatedEvent.after.id,
-    );
+    const updatedEventIndex =
+      objects?.findIndex((obj) => obj.id === updatedEvent.after.id) ?? -1;
 
-    let newObjects: ObjectType[] = [...objects];
+    let newObjects: ObjectType[] = [...(objects ?? [])];
 
     if (updatedEvent.type === "end") {
       if (updatedEventIndex !== -1) {
@@ -101,10 +103,10 @@ export function useCameraActivity(
             score: updatedEvent.after.score,
             sub_label: updatedEvent.after.sub_label?.[0] ?? "",
           };
-          newObjects = [...objects, newActiveObject];
+          newObjects = [...(objects ?? []), newActiveObject];
         }
       } else {
-        const newObjects = [...objects];
+        const newObjects = [...(objects ?? [])];
 
         let label = updatedEvent.after.label;
 
@@ -145,12 +147,17 @@ export function useCameraActivity(
     return cameras[camera.name].camera_fps == 0 && stats["service"].uptime > 60;
   }, [camera, stats]);
 
+  const isCameraEnabled = cameraEnabled ? cameraEnabled === "ON" : true;
+
   return {
-    activeTracking: hasActiveObjects,
-    activeMotion: detectingMotion
-      ? detectingMotion === "ON"
-      : updatedCameraState?.motion === true,
-    objects,
+    enabled: isCameraEnabled,
+    activeTracking: isCameraEnabled ? hasActiveObjects : false,
+    activeMotion: isCameraEnabled
+      ? detectingMotion
+        ? detectingMotion === "ON"
+        : updatedCameraState?.motion === true
+      : false,
+    objects: isCameraEnabled ? (objects ?? []) : [],
     offline,
   };
 }
diff --git a/web/src/hooks/use-camera-live-mode.ts b/web/src/hooks/use-camera-live-mode.ts
index edf165951..238ac70cc 100644
--- a/web/src/hooks/use-camera-live-mode.ts
+++ b/web/src/hooks/use-camera-live-mode.ts
@@ -1,16 +1,29 @@
 import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
 import { useCallback, useEffect, useState } from "react";
 import useSWR from "swr";
-import { LivePlayerMode } from "@/types/live";
+import { LivePlayerMode, LiveStreamMetadata } from "@/types/live";
 
 export default function useCameraLiveMode(
   cameras: CameraConfig[],
   windowVisible: boolean,
 ) {
   const { data: config } = useSWR<FrigateConfig>("config");
+  const { data: allStreamMetadata } = useSWR<{
+    [key: string]: LiveStreamMetadata;
+  }>(config ? "go2rtc/streams" : null, { revalidateOnFocus: false });
+
   const [preferredLiveModes, setPreferredLiveModes] = useState<{
     [key: string]: LivePlayerMode;
   }>({});
+  const [isRestreamedStates, setIsRestreamedStates] = useState<{
+    [key: string]: boolean;
+  }>({});
+  const [supportsAudioOutputStates, setSupportsAudioOutputStates] = useState<{
+    [key: string]: {
+      supportsAudio: boolean;
+      cameraName: string;
+    };
+  }>({});
 
   useEffect(() => {
     if (!cameras) return;
@@ -18,26 +31,56 @@ export default function useCameraLiveMode(
     const mseSupported =
       "MediaSource" in window || "ManagedMediaSource" in window;
 
-    const newPreferredLiveModes = cameras.reduce(
-      (acc, camera) => {
-        const isRestreamed =
-          config &&
-          Object.keys(config.go2rtc.streams || {}).includes(
-            camera.live.stream_name,
-          );
+    const newPreferredLiveModes: { [key: string]: LivePlayerMode } = {};
+    const newIsRestreamedStates: { [key: string]: boolean } = {};
+    const newSupportsAudioOutputStates: {
+      [key: string]: { supportsAudio: boolean; cameraName: string };
+    } = {};
 
-        if (!mseSupported) {
-          acc[camera.name] = isRestreamed ? "webrtc" : "jsmpeg";
-        } else {
-          acc[camera.name] = isRestreamed ? "mse" : "jsmpeg";
-        }
-        return acc;
-      },
-      {} as { [key: string]: LivePlayerMode },
-    );
+    cameras.forEach((camera) => {
+      const isRestreamed =
+        config &&
+        Object.keys(config.go2rtc.streams || {}).includes(
+          Object.values(camera.live.streams)[0],
+        );
+
+      newIsRestreamedStates[camera.name] = isRestreamed ?? false;
+
+      if (!mseSupported) {
+        newPreferredLiveModes[camera.name] = isRestreamed ? "webrtc" : "jsmpeg";
+      } else {
+        newPreferredLiveModes[camera.name] = isRestreamed ? "mse" : "jsmpeg";
+      }
+
+      // check each stream for audio support
+      if (isRestreamed) {
+        Object.values(camera.live.streams).forEach((streamName) => {
+          const metadata = allStreamMetadata?.[streamName];
+          newSupportsAudioOutputStates[streamName] = {
+            supportsAudio: metadata
+              ? metadata.producers.find(
+                  (prod) =>
+                    prod.medias &&
+                    prod.medias.find((media) =>
+                      media.includes("audio, recvonly"),
+                    ) !== undefined,
+                ) !== undefined
+              : false,
+            cameraName: camera.name,
+          };
+        });
+      } else {
+        newSupportsAudioOutputStates[camera.name] = {
+          supportsAudio: false,
+          cameraName: camera.name,
+        };
+      }
+    });
 
     setPreferredLiveModes(newPreferredLiveModes);
-  }, [cameras, config, windowVisible]);
+    setIsRestreamedStates(newIsRestreamedStates);
+    setSupportsAudioOutputStates(newSupportsAudioOutputStates);
+  }, [cameras, config, windowVisible, allStreamMetadata]);
 
   const resetPreferredLiveMode = useCallback(
     (cameraName: string) => {
@@ -61,5 +104,11 @@ export default function useCameraLiveMode(
     [config],
   );
 
-  return { preferredLiveModes, setPreferredLiveModes, resetPreferredLiveMode };
+  return {
+    preferredLiveModes,
+    setPreferredLiveModes,
+    resetPreferredLiveMode,
+    isRestreamedStates,
+    supportsAudioOutputStates,
+  };
 }
diff --git a/web/src/hooks/use-contextmenu.ts b/web/src/hooks/use-contextmenu.ts
index f121846ae..21c03e353 100644
--- a/web/src/hooks/use-contextmenu.ts
+++ b/web/src/hooks/use-contextmenu.ts
@@ -33,6 +33,7 @@ export default function useContextMenu(
       };
     } else {
       const context = (e: MouseEvent) => {
+        e.stopPropagation();
         e.preventDefault();
         callback();
       };
diff --git a/web/src/hooks/use-date-locale.ts b/web/src/hooks/use-date-locale.ts
new file mode 100644
index 000000000..6edacd6ee
--- /dev/null
+++ b/web/src/hooks/use-date-locale.ts
@@ -0,0 +1,69 @@
+import { useState, useEffect } from "react";
+import { enUS, Locale } from "date-fns/locale";
+import { useTranslation } from "react-i18next";
+
+// Map of locale codes to dynamic import functions
+const localeMap: Record<string, () => Promise<Locale>> = {
+  "zh-CN": () => import("date-fns/locale/zh-CN").then((module) => module.zhCN),
+  es: () => import("date-fns/locale/es").then((module) => module.es),
+  hi: () => import("date-fns/locale/hi").then((module) => module.hi),
+  fr: () => import("date-fns/locale/fr").then((module) => module.fr),
+  ar: () => import("date-fns/locale/ar").then((module) => module.ar),
+  pt: () => import("date-fns/locale/pt").then((module) => module.pt),
+  "pt-BR": () => import("date-fns/locale/pt").then((module) => module.pt),
+  ru: () => import("date-fns/locale/ru").then((module) => module.ru),
+  de: () => import("date-fns/locale/de").then((module) => module.de),
+  ja: () => import("date-fns/locale/ja").then((module) => module.ja),
+  tr: () => import("date-fns/locale/tr").then((module) => module.tr),
+  it: () => import("date-fns/locale/it").then((module) => module.it),
+  nl: () => import("date-fns/locale/nl").then((module) => module.nl),
+  sv: () => import("date-fns/locale/sv").then((module) => module.sv),
+  cs: () => import("date-fns/locale/cs").then((module) => module.cs),
+  "nb-NO": () => import("date-fns/locale/nb").then((module) => module.nb),
+  ko: () => import("date-fns/locale/ko").then((module) => module.ko),
+  vi: () => import("date-fns/locale/vi").then((module) => module.vi),
+  fa: () => import("date-fns/locale/fa-IR").then((module) => module.faIR),
+  pl: () => import("date-fns/locale/pl").then((module) => module.pl),
+  uk: () => import("date-fns/locale/uk").then((module) => module.uk),
+  he: () => import("date-fns/locale/he").then((module) => module.he),
+  el: () => import("date-fns/locale/el").then((module) => module.el),
+  ro: () => import("date-fns/locale/ro").then((module) => module.ro),
+  hu: () => import("date-fns/locale/hu").then((module) => module.hu),
+  fi: () => import("date-fns/locale/fi").then((module) => module.fi),
+  da: () => import("date-fns/locale/da").then((module) => module.da),
+  sk: () => import("date-fns/locale/sk").then((module) => module.sk),
+  "yue-Hant": () =>
+    import("date-fns/locale/zh-HK").then((module) => module.zhHK),
+  th: () => import("date-fns/locale/th").then((module) => module.th),
+  ca: () => import("date-fns/locale/ca").then((module) => module.ca),
+};
+
+export function useDateLocale(): Locale {
+  const { i18n } = useTranslation();
+  const [locale, setLocale] = useState<Locale>(enUS);
+
+  useEffect(() => {
+    const loadLocale = async () => {
+      if (i18n.language === "en") {
+        setLocale(enUS);
+        return;
+      }
+
+      const localeLoader = localeMap[i18n.language];
+      if (localeLoader) {
+        try {
+          const loadedLocale = await localeLoader();
+          setLocale(loadedLocale);
+        } catch (error) {
+          setLocale(enUS);
+        }
+      } else {
+        setLocale(enUS);
+      }
+    };
+
+    loadLocale();
+  }, [i18n.language]);
+
+  return locale;
+}
diff --git a/web/src/hooks/use-date-utils.ts b/web/src/hooks/use-date-utils.ts
index 4fa666cbd..dbe3085d4 100644
--- a/web/src/hooks/use-date-utils.ts
+++ b/web/src/hooks/use-date-utils.ts
@@ -1,33 +1,49 @@
 import { FrigateConfig } from "@/types/frigateConfig";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { useMemo } from "react";
+import { useDateLocale } from "@/hooks/use-date-locale";
 
 export function useFormattedTimestamp(
   timestamp: number,
   format: string,
   timezone?: string,
 ) {
+  const locale = useDateLocale();
+
   const formattedTimestamp = useMemo(() => {
     return formatUnixTimestampToDateTime(timestamp, {
       timezone,
-      strftime_fmt: format,
+      date_format: format,
+      locale,
     });
-  }, [format, timestamp, timezone]);
+  }, [format, timestamp, timezone, locale]);
 
   return formattedTimestamp;
 }
 
-export function useFormattedRange(start: number, end: number, format: string) {
+export function useFormattedRange(
+  start: number,
+  end: number,
+  format: string,
+  timezone?: string,
+) {
+  const locale = useDateLocale();
+
   const formattedStart = useMemo(() => {
     return formatUnixTimestampToDateTime(start, {
-      strftime_fmt: format,
+      timezone,
+      date_format: format,
+      locale,
     });
-  }, [format, start]);
+  }, [format, start, timezone, locale]);
+
   const formattedEnd = useMemo(() => {
     return formatUnixTimestampToDateTime(end, {
-      strftime_fmt: format,
+      timezone,
+      date_format: format,
+      locale,
     });
-  }, [format, end]);
+  }, [format, end, timezone, locale]);
 
   return `${formattedStart} - ${formattedEnd}`;
 }
@@ -44,7 +60,7 @@ export function useTimezone(config: FrigateConfig | undefined) {
   }, [config]);
 }
 
-function use24HourTime(config: FrigateConfig | undefined) {
+export function use24HourTime(config: FrigateConfig | undefined) {
   const localeUses24HourTime = useMemo(
     () =>
       new Intl.DateTimeFormat(undefined, {
@@ -60,8 +76,8 @@ function use24HourTime(config: FrigateConfig | undefined) {
       return false;
     }
 
-    if (config.ui.time_format != "browser") {
-      return config.ui.time_format == "24hour";
+    if (config.ui.time_format !== "browser") {
+      return config.ui.time_format === "24hour";
     }
 
     return localeUses24HourTime;
diff --git a/web/src/hooks/use-doc-domain.ts b/web/src/hooks/use-doc-domain.ts
new file mode 100644
index 000000000..6569518d5
--- /dev/null
+++ b/web/src/hooks/use-doc-domain.ts
@@ -0,0 +1,37 @@
+import { useTranslation } from "react-i18next";
+
+/**
+ * Hook to get documentation URLs based on current language
+ *
+ * @returns {Object} An object containing:
+ *   - getLocaleDocUrl: Function to get full documentation URL for a given path
+ *   - docDomain: Current documentation domain based on language
+ */
+export function useDocDomain() {
+  const { i18n } = useTranslation();
+
+  // Map of language codes to their specific documentation domains
+  const DOC_DOMAINS: Record<string, string> = {
+    "zh-CN": "docs.frigate-cn.video",
+    // Add other language-specific domains here as needed
+  };
+
+  // Get the appropriate documentation domain for current language
+  const docDomain = DOC_DOMAINS[i18n.language] || "docs.frigate.video";
+
+  /**
+   * Get full documentation URL for a given path
+   * @param {string} path - Documentation path (e.g. "/configuration/live")
+   * @returns {string} Full documentation URL
+   */
+  const getLocaleDocUrl = (path: string): string => {
+    // Ensure path starts with a slash
+    const normalizedPath = path.startsWith("/") ? path : `/${path}`;
+    return `https://${docDomain}${normalizedPath}`;
+  };
+
+  return {
+    getLocaleDocUrl,
+    docDomain,
+  };
+}
diff --git a/web/src/hooks/use-draggable-element.ts b/web/src/hooks/use-draggable-element.ts
index 73013de58..bff6a1c70 100644
--- a/web/src/hooks/use-draggable-element.ts
+++ b/web/src/hooks/use-draggable-element.ts
@@ -1,16 +1,10 @@
-import {
-  ReactNode,
-  useCallback,
-  useEffect,
-  useMemo,
-  useRef,
-  useState,
-} from "react";
-import scrollIntoView from "scroll-into-view-if-needed";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import { useTimelineUtils } from "./use-timeline-utils";
 import { FrigateConfig } from "@/types/frigateConfig";
 import useSWR from "swr";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import { useDateLocale } from "./use-date-locale";
+import { useTranslation } from "react-i18next";
 
 type DraggableElementProps = {
   contentRef: React.RefObject<HTMLElement>;
@@ -33,7 +27,8 @@ type DraggableElementProps = {
   setIsDragging: React.Dispatch<React.SetStateAction<boolean>>;
   setDraggableElementPosition?: React.Dispatch<React.SetStateAction<number>>;
   dense: boolean;
-  timelineSegments: ReactNode[];
+  segments: number[];
+  scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
 };
 
 function useDraggableElement({
@@ -57,7 +52,8 @@ function useDraggableElement({
   setIsDragging,
   setDraggableElementPosition,
   dense,
-  timelineSegments,
+  segments,
+  scrollToSegment,
 }: DraggableElementProps) {
   const { data: config } = useSWR<FrigateConfig>("config");
 
@@ -66,7 +62,6 @@ function useDraggableElement({
   const [elementScrollIntoView, setElementScrollIntoView] = useState(true);
   const [scrollEdgeSize, setScrollEdgeSize] = useState<number>();
   const [fullTimelineHeight, setFullTimelineHeight] = useState<number>();
-  const [segments, setSegments] = useState<HTMLDivElement[]>([]);
   const { alignStartDateToTimeline, getCumulativeScrollTop, segmentHeight } =
     useTimelineUtils({
       segmentDuration: segmentDuration,
@@ -169,17 +164,28 @@ function useDraggableElement({
     [segmentDuration, timelineStartAligned, segmentHeight],
   );
 
+  const { t } = useTranslation(["common"]);
+  const locale = useDateLocale();
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    const formatKey = `time.${
+      segmentDuration < 60 && !dense
+        ? "formattedTimestampHourMinuteSecond"
+        : "formattedTimestampHourMinute"
+    }.${timeFormat}`;
+    return t(formatKey);
+  }, [t, timeFormat, segmentDuration, dense]);
+
   const getFormattedTimestamp = useCallback(
     (segmentStartTime: number) => {
       return formatUnixTimestampToDateTime(segmentStartTime, {
         timezone: config?.ui.timezone,
-        strftime_fmt:
-          config?.ui.time_format == "24hour"
-            ? `%H:%M${segmentDuration < 60 && !dense ? ":%S" : ""}`
-            : `%I:%M${segmentDuration < 60 && !dense ? ":%S" : ""} %p`,
+        date_format: format,
+        locale,
       });
     },
-    [config, dense, segmentDuration],
+    [config?.ui.timezone, format, locale],
   );
 
   const updateDraggableElementPosition = useCallback(
@@ -201,11 +207,7 @@ function useDraggableElement({
             draggableElementTimeRef.current.textContent =
               getFormattedTimestamp(segmentStartTime);
             if (scrollTimeline && !userInteracting) {
-              scrollIntoView(thumb, {
-                block: "center",
-                behavior: "smooth",
-                scrollMode: "if-needed",
-              });
+              scrollToSegment(segmentStartTime);
             }
           }
         });
@@ -222,6 +224,7 @@ function useDraggableElement({
       setDraggableElementPosition,
       getFormattedTimestamp,
       userInteracting,
+      scrollToSegment,
     ],
   );
 
@@ -241,12 +244,6 @@ function useDraggableElement({
     [contentRef, draggableElementRef, timelineRef, getClientYPosition],
   );
 
-  useEffect(() => {
-    if (timelineRef.current && timelineSegments.length) {
-      setSegments(Array.from(timelineRef.current.querySelectorAll(".segment")));
-    }
-  }, [timelineRef, timelineCollapsed, timelineSegments]);
-
   useEffect(() => {
     let animationFrameId: number | null = null;
 
@@ -256,7 +253,7 @@ function useDraggableElement({
         showDraggableElement &&
         isDragging &&
         clientYPosition &&
-        segments &&
+        segments.length > 0 &&
         fullTimelineHeight
       ) {
         const { scrollTop: scrolled } = timelineRef.current;
@@ -295,31 +292,18 @@ function useDraggableElement({
           return;
         }
 
-        let targetSegmentId = 0;
-        let offset = 0;
+        const start = Math.max(0, Math.floor(scrolled / segmentHeight));
 
-        segments.forEach((segmentElement: HTMLDivElement) => {
-          const rect = segmentElement.getBoundingClientRect();
-          const segmentTop =
-            rect.top + scrolled - timelineTopAbsolute - segmentHeight;
-          const segmentBottom =
-            rect.bottom + scrolled - timelineTopAbsolute - segmentHeight;
+        const relativePosition = newElementPosition - scrolled;
+        const segmentIndex =
+          Math.floor(relativePosition / segmentHeight) + start + 1;
 
-          // Check if handlebar position falls within the segment bounds
-          if (
-            newElementPosition >= segmentTop &&
-            newElementPosition <= segmentBottom
-          ) {
-            targetSegmentId = parseFloat(
-              segmentElement.getAttribute("data-segment-id") || "0",
-            );
-            offset = Math.min(
-              segmentBottom - newElementPosition,
-              segmentHeight,
-            );
-            return;
-          }
-        });
+        const targetSegmentTime = segments[segmentIndex];
+        if (targetSegmentTime === undefined) return;
+
+        const segmentStart = segmentIndex * segmentHeight - scrolled;
+
+        const offset = Math.min(segmentStart - relativePosition, segmentHeight);
 
         if ((draggingAtTopEdge || draggingAtBottomEdge) && scrollEdgeSize) {
           if (draggingAtTopEdge) {
@@ -349,8 +333,8 @@ function useDraggableElement({
         }
 
         const setTime = alignSetTimeToSegment
-          ? targetSegmentId
-          : targetSegmentId + segmentDuration * (offset / segmentHeight);
+          ? targetSegmentTime
+          : targetSegmentTime + segmentDuration * (offset / segmentHeight);
 
         updateDraggableElementPosition(
           newElementPosition,
@@ -361,7 +345,7 @@ function useDraggableElement({
 
         if (setDraggableElementTime) {
           setDraggableElementTime(
-            targetSegmentId + segmentDuration * (offset / segmentHeight),
+            targetSegmentTime + segmentDuration * (offset / segmentHeight),
           );
         }
 
@@ -397,6 +381,7 @@ function useDraggableElement({
     draggingAtTopEdge,
     draggingAtBottomEdge,
     showDraggableElement,
+    segments,
   ]);
 
   useEffect(() => {
@@ -408,24 +393,23 @@ function useDraggableElement({
       !isDragging &&
       segments.length > 0
     ) {
-      const { scrollTop: scrolled } = timelineRef.current;
-
       const alignedSegmentTime = alignStartDateToTimeline(draggableElementTime);
+      if (!userInteracting) {
+        scrollToSegment(alignedSegmentTime);
+      }
 
-      const segmentElement = timelineRef.current.querySelector(
-        `[data-segment-id="${alignedSegmentTime}"]`,
+      const segmentIndex = segments.findIndex(
+        (time) => time === alignedSegmentTime,
       );
 
-      if (segmentElement) {
-        const timelineRect = timelineRef.current.getBoundingClientRect();
-        const timelineTopAbsolute = timelineRect.top;
-        const rect = segmentElement.getBoundingClientRect();
-        const segmentTop = rect.top + scrolled - timelineTopAbsolute;
+      if (segmentIndex >= 0) {
+        const segmentStart = segmentIndex * segmentHeight;
+
         const offset =
           ((draggableElementTime - alignedSegmentTime) / segmentDuration) *
           segmentHeight;
         // subtract half the height of the handlebar cross bar (4px) for pixel perfection
-        const newElementPosition = segmentTop - offset - 2;
+        const newElementPosition = segmentStart - offset - 2;
 
         updateDraggableElementPosition(
           newElementPosition,
@@ -454,14 +438,27 @@ function useDraggableElement({
     segments,
   ]);
 
+  const findNextAvailableSegment = useCallback(
+    (startTime: number) => {
+      let searchTime = startTime;
+      while (searchTime < timelineStartAligned + timelineDuration) {
+        if (segments.includes(searchTime)) {
+          return searchTime;
+        }
+        searchTime += segmentDuration;
+      }
+      return null;
+    },
+    [segments, timelineStartAligned, timelineDuration, segmentDuration],
+  );
+
   useEffect(() => {
     if (
       timelineRef.current &&
       segmentsRef.current &&
       draggableElementTime &&
       timelineCollapsed &&
-      timelineSegments &&
-      segments
+      segments.length > 0
     ) {
       setFullTimelineHeight(
         Math.min(
@@ -469,47 +466,27 @@ function useDraggableElement({
           segmentsRef.current.scrollHeight,
         ),
       );
+
       const alignedSegmentTime = alignStartDateToTimeline(draggableElementTime);
 
-      let segmentElement = timelineRef.current.querySelector(
-        `[data-segment-id="${alignedSegmentTime}"]`,
-      );
-
-      if (!segmentElement) {
+      if (segments.includes(alignedSegmentTime)) {
+        scrollToSegment(alignedSegmentTime);
+      } else {
         // segment not found, maybe we collapsed over a collapsible segment
-        let searchTime = alignedSegmentTime;
+        const nextAvailableSegment =
+          findNextAvailableSegment(alignedSegmentTime);
 
-        while (
-          searchTime < timelineStartAligned &&
-          searchTime < timelineStartAligned + timelineDuration
-        ) {
-          searchTime += segmentDuration;
-          segmentElement = timelineRef.current.querySelector(
-            `[data-segment-id="${searchTime}"]`,
-          );
-
-          if (segmentElement) {
-            // found, set time
-            if (setDraggableElementTime) {
-              setDraggableElementTime(searchTime);
-            }
-            return;
-          }
-        }
-      }
-      if (!segmentElement) {
-        // segment still not found, just start at the beginning of the timeline or at now()
-        if (segments?.length) {
-          const searchTime = parseInt(
-            segments[0].getAttribute("data-segment-id") || "0",
-            10,
-          );
+        if (nextAvailableSegment !== null) {
+          scrollToSegment(nextAvailableSegment);
           if (setDraggableElementTime) {
-            setDraggableElementTime(searchTime);
+            setDraggableElementTime(nextAvailableSegment);
           }
         } else {
+          // segment still not found, just start at the beginning of the timeline or at now()
+          const firstAvailableSegment = segments[0] || timelineStartAligned;
+          scrollToSegment(firstAvailableSegment);
           if (setDraggableElementTime) {
-            setDraggableElementTime(timelineStartAligned);
+            setDraggableElementTime(firstAvailableSegment);
           }
         }
       }
diff --git a/web/src/hooks/use-is-admin.ts b/web/src/hooks/use-is-admin.ts
new file mode 100644
index 000000000..222a43fce
--- /dev/null
+++ b/web/src/hooks/use-is-admin.ts
@@ -0,0 +1,10 @@
+import { useContext } from "react";
+import { AuthContext } from "@/context/auth-context";
+
+export function useIsAdmin() {
+  const { auth } = useContext(AuthContext);
+  const isAdmin =
+    (auth.isAuthenticated && auth.user?.role === "admin") ||
+    auth.user?.role === undefined;
+  return isAdmin;
+}
diff --git a/web/src/hooks/use-navigation.ts b/web/src/hooks/use-navigation.ts
index 06ebd6c1d..41ec7227f 100644
--- a/web/src/hooks/use-navigation.ts
+++ b/web/src/hooks/use-navigation.ts
@@ -1,20 +1,29 @@
 import { ENV } from "@/env";
+import { FrigateConfig } from "@/types/frigateConfig";
 import { NavData } from "@/types/navigation";
 import { useMemo } from "react";
+import { isDesktop } from "react-device-detect";
 import { FaCompactDisc, FaVideo } from "react-icons/fa";
 import { IoSearch } from "react-icons/io5";
 import { LuConstruction } from "react-icons/lu";
 import { MdVideoLibrary } from "react-icons/md";
+import { TbFaceId } from "react-icons/tb";
+import useSWR from "swr";
 
 export const ID_LIVE = 1;
 export const ID_REVIEW = 2;
 export const ID_EXPLORE = 3;
 export const ID_EXPORT = 4;
 export const ID_PLAYGROUND = 5;
+export const ID_FACE_LIBRARY = 6;
 
 export default function useNavigation(
   variant: "primary" | "secondary" = "primary",
 ) {
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+
   return useMemo(
     () =>
       [
@@ -22,39 +31,47 @@ export default function useNavigation(
           id: ID_LIVE,
           variant,
           icon: FaVideo,
-          title: "Live",
+          title: "menu.live.title",
           url: "/",
         },
         {
           id: ID_REVIEW,
           variant,
           icon: MdVideoLibrary,
-          title: "Review",
+          title: "menu.review",
           url: "/review",
         },
         {
           id: ID_EXPLORE,
           variant,
           icon: IoSearch,
-          title: "Explore",
+          title: "menu.explore",
           url: "/explore",
         },
         {
           id: ID_EXPORT,
           variant,
           icon: FaCompactDisc,
-          title: "Export",
+          title: "menu.export",
           url: "/export",
         },
         {
           id: ID_PLAYGROUND,
           variant,
           icon: LuConstruction,
-          title: "UI Playground",
+          title: "menu.uiPlayground",
           url: "/playground",
           enabled: ENV !== "production",
         },
+        {
+          id: ID_FACE_LIBRARY,
+          variant,
+          icon: TbFaceId,
+          title: "menu.faceLibrary",
+          url: "/faces",
+          enabled: isDesktop && config?.face_recognition.enabled,
+        },
       ] as NavData[],
-    [variant],
+    [config?.face_recognition?.enabled, variant],
   );
 }
diff --git a/web/src/hooks/use-overlay-state.tsx b/web/src/hooks/use-overlay-state.tsx
index 7a43383d4..5b41ca302 100644
--- a/web/src/hooks/use-overlay-state.tsx
+++ b/web/src/hooks/use-overlay-state.tsx
@@ -109,6 +109,7 @@ export function useSearchEffect(
   key: string,
   callback: (value: string) => boolean,
 ) {
+  const location = useLocation();
   const [searchParams, setSearchParams] = useSearchParams();
 
   const param = useMemo(() => {
@@ -129,7 +130,7 @@ export function useSearchEffect(
     const remove = callback(param[1]);
 
     if (remove) {
-      setSearchParams(undefined, { replace: true });
+      setSearchParams(undefined, { state: location.state, replace: true });
     }
-  }, [param, callback, setSearchParams]);
+  }, [param, location.state, callback, setSearchParams]);
 }
diff --git a/web/src/hooks/use-stats.ts b/web/src/hooks/use-stats.ts
index 23b819327..5141742c0 100644
--- a/web/src/hooks/use-stats.ts
+++ b/web/src/hooks/use-stats.ts
@@ -11,7 +11,10 @@ import useDeepMemo from "./use-deep-memo";
 import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { useFrigateStats } from "@/api/ws";
 
+import { useTranslation } from "react-i18next";
+
 export default function useStats(stats: FrigateStats | undefined) {
+  const { t } = useTranslation(["views/system"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   const memoizedStats = useDeepMemo(stats);
@@ -33,13 +36,19 @@ export default function useStats(stats: FrigateStats | undefined) {
     Object.entries(memoizedStats["detectors"]).forEach(([key, det]) => {
       if (det["inference_speed"] > InferenceThreshold.error) {
         problems.push({
-          text: `${capitalizeFirstLetter(key)} is very slow (${det["inference_speed"]} ms)`,
+          text: t("stats.detectIsVerySlow", {
+            detect: capitalizeFirstLetter(key),
+            speed: det["inference_speed"],
+          }),
           color: "text-danger",
           relevantLink: "/system#general",
         });
       } else if (det["inference_speed"] > InferenceThreshold.warning) {
         problems.push({
-          text: `${capitalizeFirstLetter(key)} is slow (${det["inference_speed"]} ms)`,
+          text: t("stats.detectIsSlow", {
+            detect: capitalizeFirstLetter(key),
+            speed: det["inference_speed"],
+          }),
           color: "text-orange-400",
           relevantLink: "/system#general",
         });
@@ -54,7 +63,9 @@ export default function useStats(stats: FrigateStats | undefined) {
 
       if (config.cameras[name].enabled && cam["camera_fps"] == 0) {
         problems.push({
-          text: `${capitalizeFirstLetter(name.replaceAll("_", " "))} is offline`,
+          text: t("stats.cameraIsOffline", {
+            camera: capitalizeFirstLetter(name.replaceAll("_", " ")),
+          }),
           color: "text-danger",
           relevantLink: "logs",
         });
@@ -72,7 +83,10 @@ export default function useStats(stats: FrigateStats | undefined) {
 
       if (!isNaN(ffmpegAvg) && ffmpegAvg >= CameraFfmpegThreshold.error) {
         problems.push({
-          text: `${capitalizeFirstLetter(name.replaceAll("_", " "))} has high FFMPEG CPU usage (${ffmpegAvg}%)`,
+          text: t("stats.ffmpegHighCpuUsage", {
+            camera: capitalizeFirstLetter(name.replaceAll("_", " ")),
+            ffmpegAvg,
+          }),
           color: "text-danger",
           relevantLink: "/system#cameras",
         });
@@ -80,7 +94,10 @@ export default function useStats(stats: FrigateStats | undefined) {
 
       if (!isNaN(detectAvg) && detectAvg >= CameraDetectThreshold.error) {
         problems.push({
-          text: `${capitalizeFirstLetter(name.replaceAll("_", " "))} has high detect CPU usage (${detectAvg}%)`,
+          text: t("stats.detectHighCpuUsage", {
+            camera: capitalizeFirstLetter(name.replaceAll("_", " ")),
+            detectAvg,
+          }),
           color: "text-danger",
           relevantLink: "/system#cameras",
         });
@@ -88,7 +105,7 @@ export default function useStats(stats: FrigateStats | undefined) {
     });
 
     return problems;
-  }, [config, memoizedStats]);
+  }, [config, memoizedStats, t]);
 
   return { potentialProblems };
 }
diff --git a/web/src/hooks/use-timeline-zoom.ts b/web/src/hooks/use-timeline-zoom.ts
new file mode 100644
index 000000000..aabd6d22b
--- /dev/null
+++ b/web/src/hooks/use-timeline-zoom.ts
@@ -0,0 +1,188 @@
+import { useState, useEffect, useCallback, useRef } from "react";
+import { TimelineZoomDirection } from "@/types/review";
+
+type ZoomSettings = {
+  segmentDuration: number;
+  timestampSpread: number;
+};
+
+type UseTimelineZoomProps = {
+  zoomSettings: ZoomSettings;
+  zoomLevels: ZoomSettings[];
+  onZoomChange: (newZoomLevel: number) => void;
+  pinchThresholdPercent?: number;
+  timelineRef: React.RefObject<HTMLDivElement>;
+  timelineDuration: number;
+};
+
+export function useTimelineZoom({
+  zoomSettings,
+  zoomLevels,
+  onZoomChange,
+  pinchThresholdPercent = 20,
+  timelineRef,
+  timelineDuration,
+}: UseTimelineZoomProps) {
+  const [zoomLevel, setZoomLevel] = useState(
+    zoomLevels.findIndex(
+      (level) =>
+        level.segmentDuration === zoomSettings.segmentDuration &&
+        level.timestampSpread === zoomSettings.timestampSpread,
+    ),
+  );
+  const [isZooming, setIsZooming] = useState(false);
+  const [zoomDirection, setZoomDirection] =
+    useState<TimelineZoomDirection>(null);
+  const touchStartDistanceRef = useRef(0);
+
+  const getPinchThreshold = useCallback(() => {
+    return (window.innerHeight * pinchThresholdPercent) / 100;
+  }, [pinchThresholdPercent]);
+
+  const wheelDeltaRef = useRef(0);
+  const isZoomingRef = useRef(false);
+  const debounceTimeoutRef = useRef<NodeJS.Timeout | null>(null);
+
+  const handleZoom = useCallback(
+    (delta: number) => {
+      setIsZooming(true);
+      setZoomDirection(delta > 0 ? "out" : "in");
+      setZoomLevel((prevLevel) => {
+        const newLevel = Math.max(
+          0,
+          Math.min(zoomLevels.length - 1, prevLevel - delta),
+        );
+        if (newLevel !== prevLevel && timelineRef.current) {
+          const { scrollTop, clientHeight, scrollHeight } = timelineRef.current;
+
+          // get time at the center of the viewable timeline
+          const centerRatio = (scrollTop + clientHeight / 2) / scrollHeight;
+          const centerTime = centerRatio * timelineDuration;
+
+          // calc the new total height based on the new zoom level
+          const newTotalHeight =
+            (timelineDuration / zoomLevels[newLevel].segmentDuration) * 8;
+
+          // calc the new scroll position to keep the center time in view
+          const newScrollTop =
+            (centerTime / timelineDuration) * newTotalHeight - clientHeight / 2;
+
+          onZoomChange(newLevel);
+
+          // Apply new scroll position after a short delay to allow for DOM update
+          setTimeout(() => {
+            if (timelineRef.current) {
+              timelineRef.current.scrollTop = newScrollTop;
+            }
+          }, 0);
+        }
+        return newLevel;
+      });
+
+      setTimeout(() => {
+        setIsZooming(false);
+        setZoomDirection(null);
+      }, 500);
+    },
+    [zoomLevels, onZoomChange, timelineRef, timelineDuration],
+  );
+
+  const debouncedZoom = useCallback(() => {
+    if (Math.abs(wheelDeltaRef.current) >= 200) {
+      handleZoom(wheelDeltaRef.current > 0 ? 1 : -1);
+      wheelDeltaRef.current = 0;
+      isZoomingRef.current = false;
+    } else {
+      isZoomingRef.current = false;
+    }
+  }, [handleZoom]);
+
+  const handleWheel = useCallback(
+    (event: WheelEvent) => {
+      if (event.ctrlKey) {
+        event.preventDefault();
+
+        if (!isZoomingRef.current) {
+          wheelDeltaRef.current += event.deltaY;
+
+          if (Math.abs(wheelDeltaRef.current) >= 200) {
+            isZoomingRef.current = true;
+
+            if (debounceTimeoutRef.current) {
+              clearTimeout(debounceTimeoutRef.current);
+            }
+
+            debounceTimeoutRef.current = setTimeout(() => {
+              debouncedZoom();
+            }, 200);
+          }
+        }
+      }
+    },
+    [debouncedZoom],
+  );
+
+  const handleTouchStart = useCallback((event: TouchEvent) => {
+    if (event.touches.length === 2) {
+      event.preventDefault();
+      const touch1 = event.touches[0];
+      const touch2 = event.touches[1];
+      const distance = Math.hypot(
+        touch1.clientX - touch2.clientX,
+        touch1.clientY - touch2.clientY,
+      );
+      touchStartDistanceRef.current = distance;
+    }
+  }, []);
+
+  const handleTouchMove = useCallback(
+    (event: TouchEvent) => {
+      if (event.touches.length === 2) {
+        event.preventDefault();
+        const touch1 = event.touches[0];
+        const touch2 = event.touches[1];
+        const currentDistance = Math.hypot(
+          touch1.clientX - touch2.clientX,
+          touch1.clientY - touch2.clientY,
+        );
+
+        const distanceDelta = currentDistance - touchStartDistanceRef.current;
+        const pinchThreshold = getPinchThreshold();
+
+        if (Math.abs(distanceDelta) > pinchThreshold) {
+          handleZoom(distanceDelta > 0 ? -1 : 1);
+          touchStartDistanceRef.current = currentDistance;
+        }
+      }
+    },
+    [handleZoom, getPinchThreshold],
+  );
+
+  useEffect(() => {
+    const timelineElement = timelineRef.current;
+
+    if (timelineElement) {
+      timelineElement.addEventListener("wheel", handleWheel, {
+        passive: false,
+      });
+      timelineElement.addEventListener("touchstart", handleTouchStart, {
+        passive: false,
+      });
+      timelineElement.addEventListener("touchmove", handleTouchMove, {
+        passive: false,
+      });
+    }
+
+    return () => {
+      if (timelineElement) {
+        timelineElement.removeEventListener("wheel", handleWheel);
+        timelineElement.removeEventListener("touchstart", handleTouchStart);
+        timelineElement.removeEventListener("touchmove", handleTouchMove);
+      }
+    };
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [handleWheel, handleTouchStart, handleTouchMove, timelineRef.current]);
+
+  return { zoomLevel, handleZoom, isZooming, zoomDirection };
+}
diff --git a/web/src/hooks/use-video-dimensions.ts b/web/src/hooks/use-video-dimensions.ts
index 448dd5078..1fad71dc8 100644
--- a/web/src/hooks/use-video-dimensions.ts
+++ b/web/src/hooks/use-video-dimensions.ts
@@ -17,7 +17,7 @@ export function useVideoDimensions(
   });
 
   const videoAspectRatio = useMemo(() => {
-    return videoResolution.width / videoResolution.height || 16 / 9;
+    return videoResolution.width / videoResolution.height;
   }, [videoResolution]);
 
   const containerAspectRatio = useMemo(() => {
@@ -25,7 +25,7 @@ export function useVideoDimensions(
   }, [containerWidth, containerHeight]);
 
   const videoDimensions = useMemo(() => {
-    if (!containerWidth || !containerHeight)
+    if (!containerWidth || !containerHeight || !videoAspectRatio)
       return { width: "100%", height: "100%" };
     if (containerAspectRatio > videoAspectRatio) {
       const height = containerHeight;
diff --git a/web/src/index.css b/web/src/index.css
index 5c78fe925..9a294ff7c 100644
--- a/web/src/index.css
+++ b/web/src/index.css
@@ -179,3 +179,13 @@ html {
   border: 3px solid #a00000 !important;
   opacity: 0.5 !important;
 }
+
+.react-grid-layout,
+.react-grid-layout .react-grid-item {
+  transition: none !important;
+}
+
+.react-lazylog,
+.react-lazylog-searchbar {
+  background-color: transparent !important;
+}
diff --git a/web/src/lib/const.ts b/web/src/lib/const.ts
new file mode 100644
index 000000000..5dbf2929e
--- /dev/null
+++ b/web/src/lib/const.ts
@@ -0,0 +1,24 @@
+export const supportedLanguageKeys = [
+  "en",
+  "es",
+  "pt",
+  "pt-BR",
+  "fr",
+  "de",
+  "it",
+  "ca",
+  "ro",
+  "nl",
+  "nb-NO",
+  "zh-CN",
+  "yue-Hant",
+  "vi",
+  "th",
+  "he",
+  "ru",
+  "tr",
+  "pl",
+  "uk",
+  "cs",
+  "hu",
+];
diff --git a/web/src/main.tsx b/web/src/main.tsx
index f25366e5e..334c8f2a5 100644
--- a/web/src/main.tsx
+++ b/web/src/main.tsx
@@ -2,6 +2,8 @@ import React from "react";
 import ReactDOM from "react-dom/client";
 import App from "./App.tsx";
 import "./index.css";
+import "@/utils/i18n";
+import "react-i18next";
 
 ReactDOM.createRoot(document.getElementById("root")!).render(
   <React.StrictMode>
diff --git a/web/src/pages/AccessDenied.tsx b/web/src/pages/AccessDenied.tsx
new file mode 100644
index 000000000..ca33b4cc8
--- /dev/null
+++ b/web/src/pages/AccessDenied.tsx
@@ -0,0 +1,21 @@
+import Heading from "@/components/ui/heading";
+import { useEffect } from "react";
+import { useTranslation } from "react-i18next";
+import { FaExclamationTriangle } from "react-icons/fa";
+
+export default function AccessDenied() {
+  const { t } = useTranslation(["common"]);
+  useEffect(() => {
+    document.title = t("accessDenied.documentTitle");
+  }, [t]);
+
+  return (
+    <div className="flex min-h-screen flex-col items-center justify-center text-center">
+      <FaExclamationTriangle className="mb-4 size-8" />
+      <Heading as="h2" className="mb-2">
+        {t("accessDenied.title")}
+      </Heading>
+      <p className="text-primary-variant">{t("accessDenied.desc")}</p>
+    </div>
+  );
+}
diff --git a/web/src/pages/ConfigEditor.tsx b/web/src/pages/ConfigEditor.tsx
index bcb0c4c65..b8c11d028 100644
--- a/web/src/pages/ConfigEditor.tsx
+++ b/web/src/pages/ConfigEditor.tsx
@@ -6,7 +6,7 @@ import { useApiHost } from "@/api";
 import Heading from "@/components/ui/heading";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { Button } from "@/components/ui/button";
-import axios from "axios";
+import axios, { AxiosError } from "axios";
 import copy from "copy-to-clipboard";
 import { useTheme } from "@/context/theme-provider";
 import { Toaster } from "@/components/ui/sonner";
@@ -14,15 +14,24 @@ import { toast } from "sonner";
 import { LuCopy, LuSave } from "react-icons/lu";
 import { MdOutlineRestartAlt } from "react-icons/md";
 import RestartDialog from "@/components/overlay/dialog/RestartDialog";
+import { useTranslation } from "react-i18next";
+import { useRestart } from "@/api/ws";
+import { useResizeObserver } from "@/hooks/resize-observer";
 
 type SaveOptions = "saveonly" | "restart";
 
+type ApiErrorResponse = {
+  message?: string;
+  detail?: string;
+};
+
 function ConfigEditor() {
+  const { t } = useTranslation(["views/configEditor"]);
   const apiHost = useApiHost();
 
   useEffect(() => {
-    document.title = "Config Editor - Frigate";
-  }, []);
+    document.title = t("documentTitle");
+  }, [t]);
 
   const { data: config } = useSWR<string>("config/raw");
 
@@ -35,38 +44,42 @@ function ConfigEditor() {
   const schemaConfiguredRef = useRef(false);
 
   const [restartDialogOpen, setRestartDialogOpen] = useState(false);
+  const { send: sendRestart } = useRestart();
 
   const onHandleSaveConfig = useCallback(
-    async (save_option: SaveOptions) => {
+    async (save_option: SaveOptions): Promise<void> => {
       if (!editorRef.current) {
         return;
       }
 
-      axios
-        .post(
+      try {
+        const response = await axios.post(
           `config/save?save_option=${save_option}`,
           editorRef.current.getValue(),
           {
             headers: { "Content-Type": "text/plain" },
           },
-        )
-        .then((response) => {
-          if (response.status === 200) {
-            setError("");
-            toast.success(response.data.message, { position: "top-center" });
-          }
-        })
-        .catch((error) => {
-          toast.error("Error saving config", { position: "top-center" });
+        );
 
-          if (error.response) {
-            setError(error.response.data.message);
-          } else {
-            setError(error.message);
-          }
-        });
+        if (response.status === 200) {
+          setError("");
+          setHasChanges(false);
+          toast.success(response.data.message, { position: "top-center" });
+        }
+      } catch (error) {
+        toast.error(t("toast.error.savingError"), { position: "top-center" });
+
+        const axiosError = error as AxiosError<ApiErrorResponse>;
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          "Unknown error";
+
+        setError(errorMessage);
+        throw new Error(errorMessage);
+      }
     },
-    [editorRef],
+    [editorRef, t],
   );
 
   const handleCopyConfig = useCallback(async () => {
@@ -75,8 +88,19 @@ function ConfigEditor() {
     }
 
     copy(editorRef.current.getValue());
-    toast.success("Config copied to clipboard.", { position: "top-center" });
-  }, [editorRef]);
+    toast.success(t("toast.success.copyToClipboard"), {
+      position: "top-center",
+    });
+  }, [editorRef, t]);
+
+  const handleSaveAndRestart = useCallback(async () => {
+    try {
+      await onHandleSaveConfig("saveonly");
+      setRestartDialogOpen(true);
+    } catch (error) {
+      // If save fails, error is already set in onHandleSaveConfig, no dialog opens
+    }
+  }, [onHandleSaveConfig]);
 
   useEffect(() => {
     if (!config) {
@@ -120,6 +144,12 @@ function ConfigEditor() {
         scrollBeyondLastLine: false,
         theme: (systemTheme || theme) == "dark" ? "vs-dark" : "vs-light",
       });
+      editorRef.current?.addCommand(
+        monaco.KeyMod.CtrlCmd | monaco.KeyCode.KeyS,
+        () => {
+          onHandleSaveConfig("saveonly");
+        },
+      );
     } else if (editorRef.current) {
       editorRef.current.setModel(modelRef.current);
     }
@@ -135,7 +165,7 @@ function ConfigEditor() {
       }
       schemaConfiguredRef.current = false;
     };
-  }, [config, apiHost, systemTheme, theme]);
+  }, [config, apiHost, systemTheme, theme, onHandleSaveConfig]);
 
   // monitoring state
 
@@ -168,7 +198,7 @@ function ConfigEditor() {
       listener = (e) => {
         e.preventDefault();
         e.returnValue = true;
-        return "Exit without saving?";
+        return t("confirm");
       };
       window.addEventListener("beforeunload", listener);
     }
@@ -178,7 +208,22 @@ function ConfigEditor() {
         window.removeEventListener("beforeunload", listener);
       }
     };
-  }, [hasChanges]);
+  }, [hasChanges, t]);
+
+  // layout change handler
+
+  const [{ width, height }] = useResizeObserver(configRef);
+
+  useEffect(() => {
+    if (editorRef.current) {
+      // Small delay to ensure DOM has updated
+      const timeoutId = setTimeout(() => {
+        editorRef.current?.layout();
+      }, 0);
+
+      return () => clearTimeout(timeoutId);
+    }
+  }, [error, width, height]);
 
   if (!config) {
     return <ActivityIndicator />;
@@ -186,58 +231,59 @@ function ConfigEditor() {
 
   return (
     <div className="absolute bottom-2 left-0 right-0 top-2 md:left-2">
-      <div className="relative h-full overflow-hidden">
+      <div className="relative flex h-full flex-col overflow-hidden">
         <div className="mr-1 flex items-center justify-between">
           <Heading as="h2" className="mb-0 ml-1 md:ml-0">
-            Config Editor
+            {t("configEditor")}
           </Heading>
           <div className="flex flex-row gap-1">
             <Button
               size="sm"
               className="flex items-center gap-2"
-              aria-label="Copy config"
+              aria-label={t("copyConfig")}
               onClick={() => handleCopyConfig()}
             >
               <LuCopy className="text-secondary-foreground" />
-              <span className="hidden md:block">Copy Config</span>
+              <span className="hidden md:block">{t("copyConfig")}</span>
             </Button>
             <Button
               size="sm"
               className="flex items-center gap-2"
-              aria-label="Save and restart"
-              onClick={() => setRestartDialogOpen(true)}
+              aria-label={t("saveAndRestart")}
+              onClick={handleSaveAndRestart}
             >
               <div className="relative size-5">
                 <LuSave className="absolute left-0 top-0 size-3 text-secondary-foreground" />
                 <MdOutlineRestartAlt className="absolute size-4 translate-x-1 translate-y-1/2 text-secondary-foreground" />
               </div>
-              <span className="hidden md:block">Save & Restart</span>
+              <span className="hidden md:block">{t("saveAndRestart")}</span>
             </Button>
             <Button
               size="sm"
               className="flex items-center gap-2"
-              aria-label="Save only without restarting"
+              aria-label={t("saveOnly")}
               onClick={() => onHandleSaveConfig("saveonly")}
             >
               <LuSave className="text-secondary-foreground" />
-              <span className="hidden md:block">Save Only</span>
+              <span className="hidden md:block">{t("saveOnly")}</span>
             </Button>
           </div>
         </div>
 
-        {error && (
-          <div className="mt-2 max-h-[30%] overflow-auto whitespace-pre-wrap border-2 border-muted bg-background_alt p-4 text-sm text-danger md:max-h-[40%]">
-            {error}
-          </div>
-        )}
-
-        <div ref={configRef} className="mt-2 h-[calc(100%-2.75rem)]" />
+        <div className="mt-2 flex flex-1 flex-col overflow-hidden">
+          {error && (
+            <div className="mt-2 max-h-[30%] min-h-[2.5rem] overflow-auto whitespace-pre-wrap border-2 border-muted bg-background_alt p-4 text-sm text-danger md:max-h-[40%]">
+              {error}
+            </div>
+          )}
+          <div ref={configRef} className="flex-1 overflow-hidden" />
+        </div>
       </div>
       <Toaster closeButton={true} />
       <RestartDialog
         isOpen={restartDialogOpen}
         onClose={() => setRestartDialogOpen(false)}
-        onRestart={() => onHandleSaveConfig("restart")}
+        onRestart={() => sendRestart("restart")}
       />
     </div>
   );
diff --git a/web/src/pages/Events.tsx b/web/src/pages/Events.tsx
index 28625bbd8..d477f5693 100644
--- a/web/src/pages/Events.tsx
+++ b/web/src/pages/Events.tsx
@@ -7,6 +7,7 @@ import { usePersistence } from "@/hooks/use-persistence";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { RecordingStartingPoint } from "@/types/record";
 import {
+  RecordingsSummary,
   REVIEW_PADDING,
   ReviewFilter,
   ReviewSegment,
@@ -22,9 +23,12 @@ import EventView from "@/views/events/EventView";
 import { RecordingView } from "@/views/recording/RecordingView";
 import axios from "axios";
 import { useCallback, useEffect, useMemo, useState } from "react";
+import { useTranslation } from "react-i18next";
 import useSWR from "swr";
 
 export default function Events() {
+  const { t } = useTranslation(["views/events"]);
+
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -76,11 +80,11 @@ export default function Events() {
 
   useEffect(() => {
     if (recording) {
-      document.title = "Recordings - Frigate";
+      document.title = t("recordings.documentTitle");
     } else {
-      document.title = `Review - Frigate`;
+      document.title = t("documentTitle");
     }
-  }, [recording, severity]);
+  }, [recording, severity, t]);
 
   // review filter
 
@@ -286,6 +290,16 @@ export default function Events() {
     updateSummary();
   }, [updateSummary]);
 
+  // recordings summary
+
+  const { data: recordingsSummary } = useSWR<RecordingsSummary>([
+    "recordings/summary",
+    {
+      timezone: timezone,
+      cameras: reviewSearchParams["cameras"] ?? null,
+    },
+  ]);
+
   // preview videos
   const previewTimes = useMemo(() => {
     const startDate = new Date(selectedTimeRange.after * 1000);
@@ -475,6 +489,7 @@ export default function Events() {
         reviewItems={reviewItems}
         currentReviewItems={currentItems}
         reviewSummary={reviewSummary}
+        recordingsSummary={recordingsSummary}
         relevantPreviews={allPreviews}
         timeRange={selectedTimeRange}
         filter={reviewFilter}
diff --git a/web/src/pages/Explore.tsx b/web/src/pages/Explore.tsx
index 90bea004a..09e576551 100644
--- a/web/src/pages/Explore.tsx
+++ b/web/src/pages/Explore.tsx
@@ -15,18 +15,32 @@ import { formatSecondsToDuration } from "@/utils/dateUtil";
 import SearchView from "@/views/search/SearchView";
 import { useCallback, useEffect, useMemo, useState } from "react";
 import { isMobileOnly } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 import { LuCheck, LuExternalLink, LuX } from "react-icons/lu";
 import { TbExclamationCircle } from "react-icons/tb";
 import { Link } from "react-router-dom";
 import { toast } from "sonner";
 import useSWR from "swr";
 import useSWRInfinite from "swr/infinite";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 const API_LIMIT = 25;
 
+// always parse these as string arrays
+const SEARCH_FILTER_ARRAY_KEYS = [
+  "cameras",
+  "labels",
+  "sub_labels",
+  "recognized_license_plate",
+  "zones",
+];
+
 export default function Explore() {
   // search field handler
 
+  const { t } = useTranslation(["views/explore"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
@@ -53,7 +67,7 @@ export default function Explore() {
   const [search, setSearch] = useState("");
 
   const [searchFilter, setSearchFilter, searchSearchParams] =
-    useApiFilterArgs<SearchFilter>();
+    useApiFilterArgs<SearchFilter>(SEARCH_FILTER_ARRAY_KEYS);
 
   const searchTerm = useMemo(
     () => searchSearchParams?.["query"] || "",
@@ -105,6 +119,8 @@ export default function Explore() {
           cameras: searchSearchParams["cameras"],
           labels: searchSearchParams["labels"],
           sub_labels: searchSearchParams["sub_labels"],
+          recognized_license_plate:
+            searchSearchParams["recognized_license_plate"],
           zones: searchSearchParams["zones"],
           before: searchSearchParams["before"],
           after: searchSearchParams["after"],
@@ -112,6 +128,8 @@ export default function Explore() {
           search_type: searchSearchParams["search_type"],
           min_score: searchSearchParams["min_score"],
           max_score: searchSearchParams["max_score"],
+          min_speed: searchSearchParams["min_speed"],
+          max_speed: searchSearchParams["max_speed"],
           has_snapshot: searchSearchParams["has_snapshot"],
           is_submitted: searchSearchParams["is_submitted"],
           has_clip: searchSearchParams["has_clip"],
@@ -120,7 +138,6 @@ export default function Explore() {
           limit:
             Object.keys(searchSearchParams).length == 0 ? API_LIMIT : undefined,
           timezone,
-          in_progress: 0,
           include_thumbnails: 0,
         },
       ];
@@ -138,6 +155,8 @@ export default function Explore() {
         cameras: searchSearchParams["cameras"],
         labels: searchSearchParams["labels"],
         sub_labels: searchSearchParams["sub_labels"],
+        recognized_license_plate:
+          searchSearchParams["recognized_license_plate"],
         zones: searchSearchParams["zones"],
         before: searchSearchParams["before"],
         after: searchSearchParams["after"],
@@ -145,6 +164,8 @@ export default function Explore() {
         search_type: searchSearchParams["search_type"],
         min_score: searchSearchParams["min_score"],
         max_score: searchSearchParams["max_score"],
+        min_speed: searchSearchParams["min_speed"],
+        max_speed: searchSearchParams["max_speed"],
         has_snapshot: searchSearchParams["has_snapshot"],
         is_submitted: searchSearchParams["is_submitted"],
         has_clip: searchSearchParams["has_clip"],
@@ -193,7 +214,9 @@ export default function Explore() {
     revalidateAll: false,
     onError: (error) => {
       toast.error(
-        `Error fetching tracked objects: ${error.response.data.message}`,
+        t("fetchingTrackedObjectsFailed", {
+          errorMessage: error.response.data.message,
+        }),
         {
           position: "top-center",
         },
@@ -263,20 +286,41 @@ export default function Explore() {
 
   // model states
 
-  const { payload: textModelState } = useModelState(
-    "jinaai/jina-clip-v1-text_model_fp16.onnx",
-  );
-  const { payload: textTokenizerState } = useModelState(
-    "jinaai/jina-clip-v1-tokenizer",
-  );
-  const modelFile =
-    config?.semantic_search.model_size === "large"
-      ? "jinaai/jina-clip-v1-vision_model_fp16.onnx"
-      : "jinaai/jina-clip-v1-vision_model_quantized.onnx";
+  const modelVersion = config?.semantic_search.model || "jinav1";
+  const modelSize = config?.semantic_search.model_size || "small";
 
-  const { payload: visionModelState } = useModelState(modelFile);
+  // Text model state
+  const { payload: textModelState } = useModelState(
+    modelVersion === "jinav1"
+      ? "jinaai/jina-clip-v1-text_model_fp16.onnx"
+      : modelSize === "large"
+        ? "jinaai/jina-clip-v2-model_fp16.onnx"
+        : "jinaai/jina-clip-v2-model_quantized.onnx",
+  );
+
+  // Tokenizer state
+  const { payload: textTokenizerState } = useModelState(
+    modelVersion === "jinav1"
+      ? "jinaai/jina-clip-v1-tokenizer"
+      : "jinaai/jina-clip-v2-tokenizer",
+  );
+
+  // Vision model state (same as text model for jinav2)
+  const visionModelFile =
+    modelVersion === "jinav1"
+      ? modelSize === "large"
+        ? "jinaai/jina-clip-v1-vision_model_fp16.onnx"
+        : "jinaai/jina-clip-v1-vision_model_quantized.onnx"
+      : modelSize === "large"
+        ? "jinaai/jina-clip-v2-model_fp16.onnx"
+        : "jinaai/jina-clip-v2-model_quantized.onnx";
+  const { payload: visionModelState } = useModelState(visionModelFile);
+
+  // Preprocessor/feature extractor state
   const { payload: visionFeatureExtractorState } = useModelState(
-    "jinaai/jina-clip-v1-preprocessor_config.json",
+    modelVersion === "jinav1"
+      ? "jinaai/jina-clip-v1-preprocessor_config.json"
+      : "jinaai/jina-clip-v2-preprocessor_config.json",
   );
 
   const allModelsLoaded = useMemo(() => {
@@ -328,13 +372,12 @@ export default function Explore() {
           <div className="flex max-w-96 flex-col items-center justify-center space-y-3 rounded-lg bg-background/50 p-5">
             <div className="my-5 flex flex-col items-center gap-2 text-xl">
               <TbExclamationCircle className="mb-3 size-10" />
-              <div>Explore is Unavailable</div>
+              <div>{t("exploreIsUnavailable.title")}</div>
             </div>
             {embeddingsReindexing && allModelsLoaded && (
               <>
                 <div className="text-center text-primary-variant">
-                  Explore can be used after tracked object embeddings have
-                  finished reindexing.
+                  {t("exploreIsUnavailable.embeddingsReindexing.context")}
                 </div>
                 <div className="pt-5 text-center">
                   <AnimatedCircularProgressBar
@@ -350,29 +393,41 @@ export default function Explore() {
                     <div className="mb-3 flex flex-col items-center justify-center gap-1">
                       <div className="text-primary-variant">
                         {reindexState.time_remaining === -1
-                          ? "Starting up..."
-                          : "Estimated time remaining:"}
+                          ? t(
+                              "exploreIsUnavailable.embeddingsReindexing.startingUp",
+                            )
+                          : t(
+                              "exploreIsUnavailable.embeddingsReindexing.estimatedTime",
+                            )}
                       </div>
                       {reindexState.time_remaining >= 0 &&
                         (formatSecondsToDuration(reindexState.time_remaining) ||
-                          "Finishing shortly")}
+                          t(
+                            "exploreIsUnavailable.embeddingsReindexing.finishingShortly",
+                          ))}
                     </div>
                   )}
                   <div className="flex flex-row items-center justify-center gap-3">
                     <span className="text-primary-variant">
-                      Thumbnails embedded:
+                      {t(
+                        "exploreIsUnavailable.embeddingsReindexing.step.thumbnailsEmbedded",
+                      )}
                     </span>
                     {reindexState.thumbnails}
                   </div>
                   <div className="flex flex-row items-center justify-center gap-3">
                     <span className="text-primary-variant">
-                      Descriptions embedded:
+                      {t(
+                        "exploreIsUnavailable.embeddingsReindexing.step.descriptionsEmbedded",
+                      )}
                     </span>
                     {reindexState.descriptions}
                   </div>
                   <div className="flex flex-row items-center justify-center gap-3">
                     <span className="text-primary-variant">
-                      Tracked objects processed:
+                      {t(
+                        "exploreIsUnavailable.embeddingsReindexing.step.trackedObjectsProcessed",
+                      )}
                     </span>
                     {reindexState.processed_objects} /{" "}
                     {reindexState.total_objects}
@@ -383,26 +438,32 @@ export default function Explore() {
             {!allModelsLoaded && (
               <>
                 <div className="text-center text-primary-variant">
-                  Frigate is downloading the necessary embeddings models to
-                  support the Semantic Search feature. This may take several
-                  minutes depending on the speed of your network connection.
+                  {t("exploreIsUnavailable.downloadingModels.context")}
                 </div>
                 <div className="flex w-96 flex-col gap-2 py-5">
                   <div className="flex flex-row items-center justify-center gap-2">
                     {renderModelStateIcon(visionModelState)}
-                    Vision model
+                    {t(
+                      "exploreIsUnavailable.downloadingModels.setup.visionModel",
+                    )}
                   </div>
                   <div className="flex flex-row items-center justify-center gap-2">
                     {renderModelStateIcon(visionFeatureExtractorState)}
-                    Vision model feature extractor
+                    {t(
+                      "exploreIsUnavailable.downloadingModels.setup.visionModelFeatureExtractor",
+                    )}
                   </div>
                   <div className="flex flex-row items-center justify-center gap-2">
                     {renderModelStateIcon(textModelState)}
-                    Text model
+                    {t(
+                      "exploreIsUnavailable.downloadingModels.setup.textModel",
+                    )}
                   </div>
                   <div className="flex flex-row items-center justify-center gap-2">
                     {renderModelStateIcon(textTokenizerState)}
-                    Text tokenizer
+                    {t(
+                      "exploreIsUnavailable.downloadingModels.setup.textTokenizer",
+                    )}
                   </div>
                 </div>
                 {(textModelState === "error" ||
@@ -410,21 +471,22 @@ export default function Explore() {
                   visionModelState === "error" ||
                   visionFeatureExtractorState === "error") && (
                   <div className="my-3 max-w-96 text-center text-danger">
-                    An error has occurred. Check Frigate logs.
+                    {t("exploreIsUnavailable.downloadingModels.error")}
                   </div>
                 )}
                 <div className="text-center text-primary-variant">
-                  You may want to reindex the embeddings of your tracked objects
-                  once the models are downloaded.
+                  {t("exploreIsUnavailable.downloadingModels.tips.context")}
                 </div>
                 <div className="flex items-center text-primary-variant">
                   <Link
-                    to="https://docs.frigate.video/configuration/semantic_search"
+                    to={getLocaleDocUrl("configuration/semantic_search")}
                     target="_blank"
                     rel="noopener noreferrer"
                     className="inline"
                   >
-                    Read the documentation{" "}
+                    {t(
+                      "exploreIsUnavailable.downloadingModels.tips.documentation",
+                    )}{" "}
                     <LuExternalLink className="ml-2 inline-flex size-3" />
                   </Link>
                 </div>
diff --git a/web/src/pages/Exports.tsx b/web/src/pages/Exports.tsx
index 212b001f0..8d245c9b3 100644
--- a/web/src/pages/Exports.tsx
+++ b/web/src/pages/Exports.tsx
@@ -17,18 +17,22 @@ import { useSearchEffect } from "@/hooks/use-overlay-state";
 import { cn } from "@/lib/utils";
 import { DeleteClipType, Export } from "@/types/export";
 import axios from "axios";
+
 import { useCallback, useEffect, useMemo, useState } from "react";
 import { isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
+
 import { LuFolderX } from "react-icons/lu";
 import { toast } from "sonner";
 import useSWR from "swr";
 
 function Exports() {
+  const { t } = useTranslation(["views/exports"]);
   const { data: exports, mutate } = useSWR<Export[]>("exports");
 
   useEffect(() => {
-    document.title = "Export - Frigate";
-  }, []);
+    document.title = t("documentTitle");
+  }, [t]);
 
   // Search
 
@@ -83,27 +87,26 @@ function Exports() {
   const onHandleRename = useCallback(
     (id: string, update: string) => {
       axios
-        .patch(`export/${id}/${encodeURIComponent(update)}`)
+        .patch(`export/${id}/rename`, {
+          name: update,
+        })
         .then((response) => {
-          if (response.status == 200) {
+          if (response.status === 200) {
             setDeleteClip(undefined);
             mutate();
           }
         })
         .catch((error) => {
-          if (error.response?.data?.message) {
-            toast.error(
-              `Failed to rename export: ${error.response.data.message}`,
-              { position: "top-center" },
-            );
-          } else {
-            toast.error(`Failed to rename export: ${error.message}`, {
-              position: "top-center",
-            });
-          }
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.renameExportFailed", { errorMessage }), {
+            position: "top-center",
+          });
         });
     },
-    [mutate],
+    [mutate, t],
   );
 
   return (
@@ -116,20 +119,22 @@ function Exports() {
       >
         <AlertDialogContent>
           <AlertDialogHeader>
-            <AlertDialogTitle>Delete Export</AlertDialogTitle>
+            <AlertDialogTitle>{t("deleteExport")}</AlertDialogTitle>
             <AlertDialogDescription>
-              Are you sure you want to delete {deleteClip?.exportName}?
+              {t("deleteExport.desc", { exportName: deleteClip?.exportName })}
             </AlertDialogDescription>
           </AlertDialogHeader>
           <AlertDialogFooter>
-            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
             <Button
               className="text-white"
               aria-label="Delete Export"
               variant="destructive"
               onClick={() => onHandleDelete()}
             >
-              Delete
+              {t("button.delete", { ns: "common" })}
             </Button>
           </AlertDialogFooter>
         </AlertDialogContent>
@@ -146,7 +151,7 @@ function Exports() {
         <DialogContent
           className={cn("max-w-[80%]", isMobile && "landscape:max-w-[60%]")}
         >
-          <DialogTitle className="capitalize">
+          <DialogTitle className="smart-capitalize">
             {selected?.name?.replaceAll("_", " ")}
           </DialogTitle>
           <video
@@ -177,7 +182,7 @@ function Exports() {
         <div className="flex w-full items-center justify-center p-2">
           <Input
             className="text-md w-full bg-muted md:w-1/3"
-            placeholder="Search"
+            placeholder={t("search")}
             value={search}
             onChange={(e) => setSearch(e.target.value)}
           />
@@ -205,7 +210,7 @@ function Exports() {
         ) : (
           <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
             <LuFolderX className="size-16" />
-            No exports found
+            {t("noExports")}
           </div>
         )}
       </div>
diff --git a/web/src/pages/FaceLibrary.tsx b/web/src/pages/FaceLibrary.tsx
new file mode 100644
index 000000000..54040e2ad
--- /dev/null
+++ b/web/src/pages/FaceLibrary.tsx
@@ -0,0 +1,1142 @@
+import { baseUrl } from "@/api/baseUrl";
+import TimeAgo from "@/components/dynamic/TimeAgo";
+import AddFaceIcon from "@/components/icons/AddFaceIcon";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import CreateFaceWizardDialog from "@/components/overlay/detail/FaceCreateWizardDialog";
+import TextEntryDialog from "@/components/overlay/dialog/TextEntryDialog";
+import UploadImageDialog from "@/components/overlay/dialog/UploadImageDialog";
+import FaceSelectionDialog from "@/components/overlay/FaceSelectionDialog";
+import { Button, buttonVariants } from "@/components/ui/button";
+import {
+  AlertDialog,
+  AlertDialogAction,
+  AlertDialogCancel,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogTitle,
+} from "@/components/ui/alert-dialog";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+  DropdownMenuSeparator,
+} from "@/components/ui/dropdown-menu";
+import { Toaster } from "@/components/ui/sonner";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import useContextMenu from "@/hooks/use-contextmenu";
+import useKeyboardListener from "@/hooks/use-keyboard-listener";
+import useOptimisticState from "@/hooks/use-optimistic-state";
+import { cn } from "@/lib/utils";
+import { Event } from "@/types/event";
+import { FaceLibraryData, RecognizedFaceData } from "@/types/face";
+import { FaceRecognitionConfig, FrigateConfig } from "@/types/frigateConfig";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
+import axios from "axios";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { isDesktop, isMobile } from "react-device-detect";
+import { Trans, useTranslation } from "react-i18next";
+import {
+  LuFolderCheck,
+  LuImagePlus,
+  LuPencil,
+  LuRefreshCw,
+  LuScanFace,
+  LuSearch,
+  LuTrash2,
+} from "react-icons/lu";
+import { useNavigate } from "react-router-dom";
+import { toast } from "sonner";
+import useSWR from "swr";
+import SearchDetailDialog, {
+  SearchTab,
+} from "@/components/overlay/detail/SearchDetailDialog";
+import { SearchResult } from "@/types/search";
+
+export default function FaceLibrary() {
+  const { t } = useTranslation(["views/faceLibrary"]);
+
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  // title
+
+  useEffect(() => {
+    document.title = t("documentTitle");
+  }, [t]);
+
+  const [page, setPage] = useState<string>("train");
+  const [pageToggle, setPageToggle] = useOptimisticState(page, setPage, 100);
+
+  // face data
+
+  const { data: faceData, mutate: refreshFaces } =
+    useSWR<FaceLibraryData>("faces");
+
+  const faces = useMemo<string[]>(
+    () =>
+      faceData
+        ? Object.keys(faceData)
+            .filter((face) => face != "train")
+            .sort()
+        : [],
+    [faceData],
+  );
+  const faceImages = useMemo<string[]>(
+    () => (pageToggle && faceData ? faceData[pageToggle] : []),
+    [pageToggle, faceData],
+  );
+
+  const trainImages = useMemo<string[]>(
+    () => faceData?.["train"] || [],
+    [faceData],
+  );
+
+  // upload
+
+  const [upload, setUpload] = useState(false);
+  const [addFace, setAddFace] = useState(false);
+
+  const onUploadImage = useCallback(
+    (file: File) => {
+      const formData = new FormData();
+      formData.append("file", file);
+      axios
+        .post(`faces/${pageToggle}/register`, formData, {
+          headers: {
+            "Content-Type": "multipart/form-data",
+          },
+        })
+        .then((resp) => {
+          if (resp.status == 200) {
+            setUpload(false);
+            refreshFaces();
+            toast.success(t("toast.success.uploadedImage"), {
+              position: "top-center",
+            });
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.uploadingImageFailed", { errorMessage }), {
+            position: "top-center",
+          });
+        });
+    },
+    [pageToggle, refreshFaces, t],
+  );
+
+  // face multiselect
+
+  const [selectedFaces, setSelectedFaces] = useState<string[]>([]);
+
+  const onClickFaces = useCallback(
+    (images: string[], ctrl: boolean) => {
+      if (selectedFaces.length == 0 && !ctrl) {
+        return;
+      }
+
+      let newSelectedFaces = [...selectedFaces];
+
+      images.forEach((imageId) => {
+        const index = newSelectedFaces.indexOf(imageId);
+
+        if (index != -1) {
+          if (selectedFaces.length == 1) {
+            newSelectedFaces = [];
+          } else {
+            const copy = [
+              ...newSelectedFaces.slice(0, index),
+              ...newSelectedFaces.slice(index + 1),
+            ];
+            newSelectedFaces = copy;
+          }
+        } else {
+          newSelectedFaces.push(imageId);
+        }
+      });
+
+      setSelectedFaces(newSelectedFaces);
+    },
+    [selectedFaces, setSelectedFaces],
+  );
+
+  const [deleteDialogOpen, setDeleteDialogOpen] = useState<{
+    name: string;
+    ids: string[];
+  } | null>(null);
+
+  const onDelete = useCallback(
+    (name: string, ids: string[], isName: boolean = false) => {
+      axios
+        .post(`/faces/${name}/delete`, { ids })
+        .then((resp) => {
+          setSelectedFaces([]);
+
+          if (resp.status == 200) {
+            if (isName) {
+              toast.success(
+                t("toast.success.deletedName", { count: ids.length }),
+                {
+                  position: "top-center",
+                },
+              );
+            } else {
+              toast.success(
+                t("toast.success.deletedFace", { count: ids.length }),
+                {
+                  position: "top-center",
+                },
+              );
+            }
+
+            if (faceImages.length == 1) {
+              // face has been deleted
+              setPageToggle("train");
+            }
+
+            refreshFaces();
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          if (isName) {
+            toast.error(t("toast.error.deleteNameFailed", { errorMessage }), {
+              position: "top-center",
+            });
+          } else {
+            toast.error(t("toast.error.deleteFaceFailed", { errorMessage }), {
+              position: "top-center",
+            });
+          }
+        });
+    },
+    [faceImages, refreshFaces, setPageToggle, t],
+  );
+
+  const onRename = useCallback(
+    (oldName: string, newName: string) => {
+      axios
+        .put(`/faces/${oldName}/rename`, { new_name: newName })
+        .then((resp) => {
+          if (resp.status === 200) {
+            toast.success(t("toast.success.renamedFace", { name: newName }), {
+              position: "top-center",
+            });
+            setPageToggle("train");
+            refreshFaces();
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.renameFaceFailed", { errorMessage }), {
+            position: "top-center",
+          });
+        });
+    },
+    [setPageToggle, refreshFaces, t],
+  );
+
+  // keyboard
+
+  useKeyboardListener(["a", "Escape"], (key, modifiers) => {
+    if (modifiers.repeat || !modifiers.down) {
+      return;
+    }
+
+    switch (key) {
+      case "a":
+        if (modifiers.ctrl) {
+          if (selectedFaces.length) {
+            setSelectedFaces([]);
+          } else {
+            setSelectedFaces([
+              ...(pageToggle === "train" ? trainImages : faceImages),
+            ]);
+          }
+        }
+        break;
+      case "Escape":
+        setSelectedFaces([]);
+        break;
+    }
+  });
+
+  useEffect(() => {
+    setSelectedFaces([]);
+  }, [pageToggle]);
+
+  if (!config) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <div className="flex size-full flex-col p-2">
+      <Toaster />
+
+      <AlertDialog
+        open={!!deleteDialogOpen}
+        onOpenChange={() => setDeleteDialogOpen(null)}
+      >
+        <AlertDialogContent>
+          <AlertDialogHeader>
+            <AlertDialogTitle>{t("deleteFaceAttempts.title")}</AlertDialogTitle>
+          </AlertDialogHeader>
+          <AlertDialogDescription>
+            <Trans
+              ns="views/faceLibrary"
+              values={{ count: deleteDialogOpen?.ids.length }}
+            >
+              deleteFaceAttempts.desc
+            </Trans>
+          </AlertDialogDescription>
+          <AlertDialogFooter>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
+            <AlertDialogAction
+              className={buttonVariants({ variant: "destructive" })}
+              onClick={() => {
+                if (deleteDialogOpen) {
+                  onDelete(deleteDialogOpen.name, deleteDialogOpen.ids);
+                  setDeleteDialogOpen(null);
+                }
+              }}
+            >
+              {t("button.delete", { ns: "common" })}
+            </AlertDialogAction>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialog>
+
+      <UploadImageDialog
+        open={upload}
+        title={t("uploadFaceImage.title")}
+        description={t("uploadFaceImage.desc", { pageToggle })}
+        setOpen={setUpload}
+        onSave={onUploadImage}
+      />
+
+      <CreateFaceWizardDialog
+        open={addFace}
+        setOpen={setAddFace}
+        onFinish={refreshFaces}
+      />
+
+      <div className="relative mb-2 flex h-11 w-full items-center justify-between">
+        <LibrarySelector
+          pageToggle={pageToggle}
+          faceData={faceData}
+          faces={faces}
+          trainImages={trainImages}
+          setPageToggle={setPageToggle}
+          onDelete={onDelete}
+          onRename={onRename}
+        />
+        {selectedFaces?.length > 0 ? (
+          <div className="flex items-center justify-center gap-2">
+            <div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
+              <div className="p-1">{`${selectedFaces.length} selected`}</div>
+              <div className="p-1">{"|"}</div>
+              <div
+                className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
+                onClick={() => setSelectedFaces([])}
+              >
+                {t("button.unselect", { ns: "common" })}
+              </div>
+            </div>
+            <Button
+              className="flex gap-2"
+              onClick={() =>
+                setDeleteDialogOpen({ name: pageToggle, ids: selectedFaces })
+              }
+            >
+              <LuTrash2 className="size-7 rounded-md p-1 text-secondary-foreground" />
+              {isDesktop && t("button.deleteFaceAttempts")}
+            </Button>
+          </div>
+        ) : (
+          <div className="flex items-center justify-center gap-2">
+            <Button className="flex gap-2" onClick={() => setAddFace(true)}>
+              <LuScanFace className="size-7 rounded-md p-1 text-secondary-foreground" />
+              {isDesktop && t("button.addFace")}
+            </Button>
+            {pageToggle != "train" && (
+              <Button className="flex gap-2" onClick={() => setUpload(true)}>
+                <LuImagePlus className="size-7 rounded-md p-1 text-secondary-foreground" />
+                {isDesktop && t("button.uploadImage")}
+              </Button>
+            )}
+          </div>
+        )}
+      </div>
+      {pageToggle && faceImages?.length === 0 && pageToggle !== "train" ? (
+        <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
+          <LuFolderCheck className="size-16" />
+          {t("nofaces")}
+        </div>
+      ) : (
+        pageToggle &&
+        (pageToggle == "train" ? (
+          <TrainingGrid
+            config={config}
+            attemptImages={trainImages}
+            faceNames={faces}
+            selectedFaces={selectedFaces}
+            onClickFaces={onClickFaces}
+            onRefresh={refreshFaces}
+          />
+        ) : (
+          <FaceGrid
+            faceImages={faceImages}
+            pageToggle={pageToggle}
+            selectedFaces={selectedFaces}
+            onClickFaces={onClickFaces}
+            onDelete={onDelete}
+          />
+        ))
+      )}
+    </div>
+  );
+}
+
+type LibrarySelectorProps = {
+  pageToggle: string | undefined;
+  faceData?: FaceLibraryData;
+  faces: string[];
+  trainImages: string[];
+  setPageToggle: (toggle: string) => void;
+  onDelete: (name: string, ids: string[], isName: boolean) => void;
+  onRename: (old_name: string, new_name: string) => void;
+};
+function LibrarySelector({
+  pageToggle,
+  faceData,
+  faces,
+  trainImages,
+  setPageToggle,
+  onDelete,
+  onRename,
+}: LibrarySelectorProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+  const [confirmDelete, setConfirmDelete] = useState<string | null>(null);
+  const [renameFace, setRenameFace] = useState<string | null>(null);
+
+  const handleDeleteFace = useCallback(
+    (faceName: string) => {
+      // Get all image IDs for this face
+      const imageIds = faceData?.[faceName] || [];
+
+      onDelete(faceName, imageIds, true);
+      setPageToggle("train");
+    },
+    [faceData, onDelete, setPageToggle],
+  );
+
+  const handleSetOpen = useCallback(
+    (open: boolean) => {
+      setRenameFace(open ? renameFace : null);
+    },
+    [renameFace],
+  );
+
+  return (
+    <>
+      <Dialog
+        open={!!confirmDelete}
+        onOpenChange={(open) => !open && setConfirmDelete(null)}
+      >
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>{t("deleteFaceLibrary.title")}</DialogTitle>
+            <DialogDescription>
+              {t("deleteFaceLibrary.desc", { name: confirmDelete })}
+            </DialogDescription>
+          </DialogHeader>
+          <div className="flex justify-end gap-2">
+            <Button variant="outline" onClick={() => setConfirmDelete(null)}>
+              {t("button.cancel", { ns: "common" })}
+            </Button>
+            <Button
+              variant="destructive"
+              onClick={() => {
+                if (confirmDelete) {
+                  handleDeleteFace(confirmDelete);
+                  setConfirmDelete(null);
+                }
+              }}
+            >
+              {t("button.delete", { ns: "common" })}
+            </Button>
+          </div>
+        </DialogContent>
+      </Dialog>
+
+      <TextEntryDialog
+        open={!!renameFace}
+        setOpen={handleSetOpen}
+        title={t("renameFace.title")}
+        description={t("renameFace.desc", { name: renameFace })}
+        onSave={(newName) => {
+          onRename(renameFace!, newName);
+          setRenameFace(null);
+        }}
+        defaultValue={renameFace || ""}
+        regexPattern={/^[\p{L}\p{N}\s'_-]{1,50}$/u}
+        regexErrorMessage={t("description.invalidName")}
+      />
+
+      <DropdownMenu>
+        <DropdownMenuTrigger asChild>
+          <Button className="flex justify-between smart-capitalize">
+            {pageToggle == "train" ? t("train.title") : pageToggle}
+            <span className="ml-2 text-primary-variant">
+              ({(pageToggle && faceData?.[pageToggle]?.length) || 0})
+            </span>
+          </Button>
+        </DropdownMenuTrigger>
+        <DropdownMenuContent
+          className="scrollbar-container max-h-[40dvh] min-w-[220px] overflow-y-auto"
+          align="start"
+        >
+          <DropdownMenuItem
+            className="flex cursor-pointer items-center justify-start gap-2"
+            aria-label={t("train.aria")}
+            onClick={() => setPageToggle("train")}
+          >
+            <div>{t("train.title")}</div>
+            <div className="text-secondary-foreground">
+              ({trainImages.length})
+            </div>
+          </DropdownMenuItem>
+          {trainImages.length > 0 && faces.length > 0 && (
+            <>
+              <DropdownMenuSeparator />
+              <div className="mb-1 ml-1.5 text-xs text-secondary-foreground">
+                {t("collections")}
+              </div>
+            </>
+          )}
+          {Object.values(faces).map((face) => (
+            <DropdownMenuItem
+              key={face}
+              className="group flex items-center justify-between"
+            >
+              <div
+                className="flex-grow cursor-pointer"
+                onClick={() => setPageToggle(face)}
+              >
+                {face}
+                <span className="ml-2 text-muted-foreground">
+                  ({faceData?.[face].length})
+                </span>
+              </div>
+              <div className="flex gap-0.5">
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <Button
+                      variant="ghost"
+                      size="icon"
+                      className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
+                      onClick={(e) => {
+                        e.stopPropagation();
+                        setRenameFace(face);
+                      }}
+                    >
+                      <LuPencil className="size-4 text-primary" />
+                    </Button>
+                  </TooltipTrigger>
+                  <TooltipPortal>
+                    <TooltipContent>{t("button.renameFace")}</TooltipContent>
+                  </TooltipPortal>
+                </Tooltip>
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <Button
+                      variant="ghost"
+                      size="icon"
+                      className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
+                      onClick={(e) => {
+                        e.stopPropagation();
+                        setConfirmDelete(face);
+                      }}
+                    >
+                      <LuTrash2 className="size-4 text-destructive" />
+                    </Button>
+                  </TooltipTrigger>
+                  <TooltipPortal>
+                    <TooltipContent>{t("button.deleteFace")}</TooltipContent>
+                  </TooltipPortal>
+                </Tooltip>
+              </div>
+            </DropdownMenuItem>
+          ))}
+        </DropdownMenuContent>
+      </DropdownMenu>
+    </>
+  );
+}
+
+type TrainingGridProps = {
+  config: FrigateConfig;
+  attemptImages: string[];
+  faceNames: string[];
+  selectedFaces: string[];
+  onClickFaces: (images: string[], ctrl: boolean) => void;
+  onRefresh: () => void;
+};
+function TrainingGrid({
+  config,
+  attemptImages,
+  faceNames,
+  selectedFaces,
+  onClickFaces,
+  onRefresh,
+}: TrainingGridProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+
+  // face data
+
+  const faceGroups = useMemo(() => {
+    const groups: { [eventId: string]: RecognizedFaceData[] } = {};
+
+    const faces = attemptImages
+      .map((image) => {
+        const parts = image.split("-");
+
+        try {
+          return {
+            filename: image,
+            timestamp: Number.parseFloat(parts[2]),
+            eventId: `${parts[0]}-${parts[1]}`,
+            name: parts[3],
+            score: Number.parseFloat(parts[4]),
+          };
+        } catch {
+          return null;
+        }
+      })
+      .filter((v) => v != null);
+
+    faces
+      .sort((a, b) => a.eventId.localeCompare(b.eventId))
+      .reverse()
+      .forEach((face) => {
+        if (groups[face.eventId]) {
+          groups[face.eventId].push(face);
+        } else {
+          groups[face.eventId] = [face];
+        }
+      });
+
+    return groups;
+  }, [attemptImages]);
+
+  const eventIdsQuery = useMemo(
+    () => Object.keys(faceGroups).join(","),
+    [faceGroups],
+  );
+
+  const { data: events } = useSWR<Event[]>([
+    "event_ids",
+    { ids: eventIdsQuery },
+  ]);
+
+  // selection
+
+  const [selectedEvent, setSelectedEvent] = useState<Event>();
+  const [dialogTab, setDialogTab] = useState<SearchTab>("details");
+
+  if (attemptImages.length == 0) {
+    return (
+      <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
+        <LuFolderCheck className="size-16" />
+        {t("train.empty")}
+      </div>
+    );
+  }
+
+  return (
+    <>
+      <SearchDetailDialog
+        search={
+          selectedEvent ? (selectedEvent as unknown as SearchResult) : undefined
+        }
+        page={dialogTab}
+        setSimilarity={undefined}
+        setSearchPage={setDialogTab}
+        setSearch={(search) => setSelectedEvent(search as unknown as Event)}
+        setInputFocused={() => {}}
+      />
+
+      <div className="scrollbar-container flex flex-wrap gap-2 overflow-y-scroll p-1">
+        {Object.entries(faceGroups).map(([key, group]) => {
+          const event = events?.find((ev) => ev.id == key);
+          return (
+            <FaceAttemptGroup
+              key={key}
+              config={config}
+              group={group}
+              event={event}
+              faceNames={faceNames}
+              selectedFaces={selectedFaces}
+              onClickFaces={onClickFaces}
+              onSelectEvent={setSelectedEvent}
+              onRefresh={onRefresh}
+            />
+          );
+        })}
+      </div>
+    </>
+  );
+}
+
+type FaceAttemptGroupProps = {
+  config: FrigateConfig;
+  group: RecognizedFaceData[];
+  event?: Event;
+  faceNames: string[];
+  selectedFaces: string[];
+  onClickFaces: (image: string[], ctrl: boolean) => void;
+  onSelectEvent: (event: Event) => void;
+  onRefresh: () => void;
+};
+function FaceAttemptGroup({
+  config,
+  group,
+  event,
+  faceNames,
+  selectedFaces,
+  onClickFaces,
+  onSelectEvent,
+  onRefresh,
+}: FaceAttemptGroupProps) {
+  const navigate = useNavigate();
+  const { t } = useTranslation(["views/faceLibrary", "views/explore"]);
+
+  // data
+
+  const allFacesSelected = useMemo(
+    () => group.every((face) => selectedFaces.includes(face.filename)),
+    [group, selectedFaces],
+  );
+
+  // interaction
+
+  const handleClickEvent = useCallback(
+    (meta: boolean) => {
+      if (event && selectedFaces.length == 0 && !meta) {
+        onSelectEvent(event);
+      } else {
+        const anySelected =
+          group.find((face) => selectedFaces.includes(face.filename)) !=
+          undefined;
+
+        if (anySelected) {
+          // deselect all
+          const toDeselect: string[] = [];
+          group.forEach((face) => {
+            if (selectedFaces.includes(face.filename)) {
+              toDeselect.push(face.filename);
+            }
+          });
+          onClickFaces(toDeselect, false);
+        } else {
+          // select all
+          onClickFaces(
+            group.map((face) => face.filename),
+            true,
+          );
+        }
+      }
+    },
+    [event, group, selectedFaces, onClickFaces, onSelectEvent],
+  );
+
+  return (
+    <div
+      className={cn(
+        "flex cursor-pointer flex-col gap-2 rounded-lg bg-card p-2 outline outline-[3px]",
+        isMobile && "w-full",
+        allFacesSelected
+          ? "shadow-selected outline-selected"
+          : "outline-transparent duration-500",
+      )}
+      onClick={() => {
+        if (selectedFaces.length) {
+          handleClickEvent(true);
+        }
+      }}
+      onContextMenu={(e) => {
+        e.stopPropagation();
+        e.preventDefault();
+        handleClickEvent(true);
+      }}
+    >
+      <div className="flex flex-row justify-between">
+        <div className="flex flex-col gap-1">
+          <div className="select-none smart-capitalize">
+            {t("details.person")}
+            {event?.sub_label
+              ? `: ${event.sub_label} (${Math.round((event.data.sub_label_score || 0) * 100)}%)`
+              : ": " + t("details.unknown")}
+          </div>
+          <TimeAgo
+            className="text-sm text-secondary-foreground"
+            time={group[0].timestamp * 1000}
+            dense
+          />
+        </div>
+        {event && (
+          <Tooltip>
+            <TooltipTrigger>
+              <div
+                className="cursor-pointer"
+                onClick={() => {
+                  navigate(`/explore?event_id=${event.id}`);
+                }}
+              >
+                <LuSearch className="size-4 text-muted-foreground" />
+              </div>
+            </TooltipTrigger>
+            <TooltipPortal>
+              <TooltipContent>
+                {t("details.item.button.viewInExplore", {
+                  ns: "views/explore",
+                })}
+              </TooltipContent>
+            </TooltipPortal>
+          </Tooltip>
+        )}
+      </div>
+
+      <div
+        className={cn(
+          "gap-2",
+          isDesktop
+            ? "flex flex-row flex-wrap"
+            : "grid grid-cols-2 sm:grid-cols-5 lg:grid-cols-6",
+        )}
+      >
+        {group.map((data: RecognizedFaceData) => (
+          <FaceAttempt
+            key={data.filename}
+            data={data}
+            faceNames={faceNames}
+            recognitionConfig={config.face_recognition}
+            selected={
+              allFacesSelected ? false : selectedFaces.includes(data.filename)
+            }
+            onClick={(data, meta) => {
+              if (meta || selectedFaces.length > 0) {
+                onClickFaces([data.filename], true);
+              } else if (event) {
+                onSelectEvent(event);
+              }
+            }}
+            onRefresh={onRefresh}
+          />
+        ))}
+      </div>
+    </div>
+  );
+}
+
+type FaceAttemptProps = {
+  data: RecognizedFaceData;
+  faceNames: string[];
+  recognitionConfig: FaceRecognitionConfig;
+  selected: boolean;
+  onClick: (data: RecognizedFaceData, meta: boolean) => void;
+  onRefresh: () => void;
+};
+function FaceAttempt({
+  data,
+  faceNames,
+  recognitionConfig,
+  selected,
+  onClick,
+  onRefresh,
+}: FaceAttemptProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+  const [imageLoaded, setImageLoaded] = useState(false);
+
+  const scoreStatus = useMemo(() => {
+    if (data.score >= recognitionConfig.recognition_threshold) {
+      return "match";
+    } else if (data.score >= recognitionConfig.unknown_score) {
+      return "potential";
+    } else {
+      return "unknown";
+    }
+  }, [data, recognitionConfig]);
+
+  // interaction
+
+  const imgRef = useRef<HTMLImageElement | null>(null);
+
+  useContextMenu(imgRef, () => {
+    onClick(data, true);
+  });
+
+  const imageArea = useMemo(() => {
+    if (imgRef.current == null || !imageLoaded) {
+      return undefined;
+    }
+
+    return imgRef.current.naturalWidth * imgRef.current.naturalHeight;
+  }, [imageLoaded]);
+
+  // api calls
+
+  const onTrainAttempt = useCallback(
+    (trainName: string) => {
+      axios
+        .post(`/faces/train/${trainName}/classify`, {
+          training_file: data.filename,
+        })
+        .then((resp) => {
+          if (resp.status == 200) {
+            toast.success(t("toast.success.trainedFace"), {
+              position: "top-center",
+            });
+            onRefresh();
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.trainFailed", { errorMessage }), {
+            position: "top-center",
+          });
+        });
+    },
+    [data, onRefresh, t],
+  );
+
+  const onReprocess = useCallback(() => {
+    axios
+      .post(`/faces/reprocess`, { training_file: data.filename })
+      .then((resp) => {
+        if (resp.status == 200) {
+          toast.success(t("toast.success.updatedFaceScore"), {
+            position: "top-center",
+          });
+          onRefresh();
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(t("toast.error.updateFaceScoreFailed", { errorMessage }), {
+          position: "top-center",
+        });
+      });
+  }, [data, onRefresh, t]);
+
+  return (
+    <>
+      <div
+        className={cn(
+          "relative flex cursor-pointer flex-col rounded-lg outline outline-[3px]",
+          selected
+            ? "shadow-selected outline-selected"
+            : "outline-transparent duration-500",
+        )}
+      >
+        <div className="relative w-full select-none overflow-hidden rounded-lg">
+          <img
+            ref={imgRef}
+            onLoad={() => setImageLoaded(true)}
+            className={cn("size-44", isMobile && "w-full")}
+            src={`${baseUrl}clips/faces/train/${data.filename}`}
+            onClick={(e) => {
+              e.stopPropagation();
+              onClick(data, e.metaKey || e.ctrlKey);
+            }}
+          />
+          {imageArea != undefined && (
+            <div className="absolute bottom-1 right-1 z-10 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
+              {t("pixels", { area: imageArea })}
+            </div>
+          )}
+        </div>
+        <div className="select-none p-2">
+          <div className="flex w-full flex-row items-center justify-between gap-2">
+            <div className="flex flex-col items-start text-xs text-primary-variant">
+              <div className="smart-capitalize">
+                {data.name == "unknown" ? t("details.unknown") : data.name}
+              </div>
+              <div
+                className={cn(
+                  "",
+                  scoreStatus == "match" && "text-success",
+                  scoreStatus == "potential" && "text-orange-400",
+                  scoreStatus == "unknown" && "text-danger",
+                )}
+              >
+                {Math.round(data.score * 100)}%
+              </div>
+            </div>
+            <div className="flex flex-row items-start justify-end gap-5 md:gap-4">
+              <FaceSelectionDialog
+                faceNames={faceNames}
+                onTrainAttempt={onTrainAttempt}
+              >
+                <AddFaceIcon className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
+              </FaceSelectionDialog>
+              <Tooltip>
+                <TooltipTrigger>
+                  <LuRefreshCw
+                    className="size-5 cursor-pointer text-primary-variant hover:text-primary"
+                    onClick={() => onReprocess()}
+                  />
+                </TooltipTrigger>
+                <TooltipContent>{t("button.reprocessFace")}</TooltipContent>
+              </Tooltip>
+            </div>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+}
+
+type FaceGridProps = {
+  faceImages: string[];
+  pageToggle: string;
+  selectedFaces: string[];
+  onClickFaces: (images: string[], ctrl: boolean) => void;
+  onDelete: (name: string, ids: string[]) => void;
+};
+function FaceGrid({
+  faceImages,
+  pageToggle,
+  selectedFaces,
+  onClickFaces,
+  onDelete,
+}: FaceGridProps) {
+  const sortedFaces = useMemo(
+    () => (faceImages || []).sort().reverse(),
+    [faceImages],
+  );
+
+  if (sortedFaces.length === 0) {
+    return (
+      <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
+        <LuFolderCheck className="size-16" />
+        (t("nofaces"))
+      </div>
+    );
+  }
+
+  return (
+    <div
+      className={cn(
+        "scrollbar-container gap-2 overflow-y-scroll p-1",
+        isDesktop ? "flex flex-wrap" : "grid grid-cols-2 md:grid-cols-4",
+      )}
+    >
+      {sortedFaces.map((image: string) => (
+        <FaceImage
+          key={image}
+          name={pageToggle}
+          image={image}
+          selected={selectedFaces.includes(image)}
+          onClickFaces={onClickFaces}
+          onDelete={onDelete}
+        />
+      ))}
+    </div>
+  );
+}
+
+type FaceImageProps = {
+  name: string;
+  image: string;
+  selected: boolean;
+  onClickFaces: (images: string[], ctrl: boolean) => void;
+  onDelete: (name: string, ids: string[]) => void;
+};
+function FaceImage({
+  name,
+  image,
+  selected,
+  onClickFaces,
+  onDelete,
+}: FaceImageProps) {
+  const { t } = useTranslation(["views/faceLibrary"]);
+
+  return (
+    <div
+      className={cn(
+        "flex cursor-pointer flex-col gap-2 rounded-lg bg-card outline outline-[3px]",
+        selected
+          ? "shadow-selected outline-selected"
+          : "outline-transparent duration-500",
+      )}
+      onClick={(e) => {
+        e.stopPropagation();
+        onClickFaces([image], e.ctrlKey || e.metaKey);
+      }}
+    >
+      <div
+        className={cn(
+          "w-full overflow-hidden p-2 *:text-card-foreground",
+          isMobile && "flex justify-center",
+        )}
+      >
+        <img
+          className="h-40 rounded-lg"
+          src={`${baseUrl}clips/faces/${name}/${image}`}
+        />
+      </div>
+      <div className="rounded-b-lg bg-card p-3">
+        <div className="flex w-full flex-row items-center justify-between gap-2">
+          <div className="flex flex-col items-start text-xs text-primary-variant">
+            <div className="smart-capitalize">{name}</div>
+          </div>
+          <div className="flex flex-row items-start justify-end gap-5 md:gap-4">
+            <Tooltip>
+              <TooltipTrigger>
+                <LuTrash2
+                  className="size-5 cursor-pointer text-primary-variant hover:text-primary"
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onDelete(name, [image]);
+                  }}
+                />
+              </TooltipTrigger>
+              <TooltipContent>{t("button.deleteFaceAttempts")}</TooltipContent>
+            </Tooltip>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/pages/Live.tsx b/web/src/pages/Live.tsx
index 97e565ef1..b697f8c05 100644
--- a/web/src/pages/Live.tsx
+++ b/web/src/pages/Live.tsx
@@ -9,10 +9,13 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import LiveBirdseyeView from "@/views/live/LiveBirdseyeView";
 import LiveCameraView from "@/views/live/LiveCameraView";
 import LiveDashboardView from "@/views/live/LiveDashboardView";
+import { useTranslation } from "react-i18next";
+
 import { useEffect, useMemo, useRef } from "react";
 import useSWR from "swr";
 
 function Live() {
+  const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // selection
@@ -64,13 +67,17 @@ function Live() {
         .split("_")
         .filter((text) => text)
         .map((text) => text[0].toUpperCase() + text.substring(1));
-      document.title = `${capitalized.join(" ")} - Live - Frigate`;
+      document.title = t("documentTitle.withCamera", {
+        camera: capitalized.join(" "),
+      });
     } else if (cameraGroup && cameraGroup != "default") {
-      document.title = `${cameraGroup[0].toUpperCase()}${cameraGroup.substring(1)} - Live - Frigate`;
+      document.title = t("documentTitle.withCamera", {
+        camera: `${cameraGroup[0].toUpperCase()}${cameraGroup.substring(1)}`,
+      });
     } else {
-      document.title = "Live - Frigate";
+      document.title = t("documentTitle", { ns: "views/live" });
     }
-  }, [cameraGroup, selectedCameraName]);
+  }, [cameraGroup, selectedCameraName, t]);
 
   // settings
 
@@ -101,12 +108,14 @@ function Live() {
     ) {
       const group = config.camera_groups[cameraGroup];
       return Object.values(config.cameras)
-        .filter((conf) => conf.enabled && group.cameras.includes(conf.name))
+        .filter(
+          (conf) => conf.enabled_in_config && group.cameras.includes(conf.name),
+        )
         .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
     }
 
     return Object.values(config.cameras)
-      .filter((conf) => conf.ui.dashboard && conf.enabled)
+      .filter((conf) => conf.ui.dashboard && conf.enabled_in_config)
       .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
   }, [config, cameraGroup]);
 
diff --git a/web/src/pages/LoginPage.tsx b/web/src/pages/LoginPage.tsx
index d79a7c953..8cf87f206 100644
--- a/web/src/pages/LoginPage.tsx
+++ b/web/src/pages/LoginPage.tsx
@@ -1,20 +1,24 @@
 import { UserAuthForm } from "@/components/auth/AuthForm";
 import Logo from "@/components/Logo";
 import { ThemeProvider } from "@/context/theme-provider";
+import "@/utils/i18n";
+import { LanguageProvider } from "@/context/language-provider";
 
 function LoginPage() {
   return (
     <ThemeProvider defaultTheme="system" storageKey="frigate-ui-theme">
-      <div className="size-full overflow-hidden">
-        <div className="p-8">
-          <div className="mx-auto flex w-full flex-col justify-center space-y-6 sm:w-[350px]">
-            <div className="flex flex-col items-center space-y-2">
-              <Logo className="mb-6 h-8 w-8" />
+      <LanguageProvider>
+        <div className="size-full overflow-hidden">
+          <div className="p-8">
+            <div className="mx-auto flex w-full flex-col justify-center space-y-6 sm:w-[350px]">
+              <div className="flex flex-col items-center space-y-2">
+                <Logo className="mb-6 h-8 w-8" />
+              </div>
+              <UserAuthForm />
             </div>
-            <UserAuthForm />
           </div>
         </div>
-      </div>
+      </LanguageProvider>
     </ThemeProvider>
   );
 }
diff --git a/web/src/pages/Logs.tsx b/web/src/pages/Logs.tsx
index 949fffb8a..4ee713fe5 100644
--- a/web/src/pages/Logs.tsx
+++ b/web/src/pages/Logs.tsx
@@ -1,39 +1,56 @@
 import { Button } from "@/components/ui/button";
 import { ToggleGroup, ToggleGroupItem } from "@/components/ui/toggle-group";
-import { LogData, LogLine, LogSeverity, LogType, logTypes } from "@/types/log";
+import {
+  LogLine,
+  LogSettingsType,
+  LogSeverity,
+  LogType,
+  logTypes,
+} from "@/types/log";
 import copy from "copy-to-clipboard";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import axios from "axios";
 import LogInfoDialog from "@/components/overlay/LogInfoDialog";
 import { LogChip } from "@/components/indicators/Chip";
-import { LogLevelFilterButton } from "@/components/filter/LogLevelFilter";
-import { FaCopy } from "react-icons/fa6";
+import { LogSettingsButton } from "@/components/filter/LogSettingsButton";
+import { FaCopy, FaDownload } from "react-icons/fa";
 import { Toaster } from "@/components/ui/sonner";
 import { toast } from "sonner";
-import {
-  isDesktop,
-  isMobile,
-  isMobileOnly,
-  isTablet,
-} from "react-device-detect";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { cn } from "@/lib/utils";
-import { MdVerticalAlignBottom } from "react-icons/md";
 import { parseLogLines } from "@/utils/logUtil";
-import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { ScrollArea, ScrollBar } from "@/components/ui/scroll-area";
 import scrollIntoView from "scroll-into-view-if-needed";
-import { FaDownload } from "react-icons/fa";
-
-type LogRange = { start: number; end: number };
+import { LazyLog } from "@melloware/react-logviewer";
+import useKeyboardListener from "@/hooks/use-keyboard-listener";
+import EnhancedScrollFollow from "@/components/dynamic/EnhancedScrollFollow";
+import { MdCircle } from "react-icons/md";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { debounce } from "lodash";
+import { isIOS, isMobile } from "react-device-detect";
+import { isPWA } from "@/utils/isPWA";
+import { isInIframe } from "@/utils/isIFrame";
+import { useTranslation } from "react-i18next";
 
 function Logs() {
+  const { t } = useTranslation(["views/system"]);
   const [logService, setLogService] = useState<LogType>("frigate");
   const tabsRef = useRef<HTMLDivElement | null>(null);
+  const lazyLogWrapperRef = useRef<HTMLDivElement>(null);
+  const [logs, setLogs] = useState<string[]>([]);
+  const [filterSeverity, setFilterSeverity] = useState<LogSeverity[]>();
+  const [selectedLog, setSelectedLog] = useState<LogLine>();
+  const lazyLogRef = useRef<LazyLog>(null);
+  const [isLoading, setIsLoading] = useState(true);
+  const lastFetchedIndexRef = useRef(-1);
 
   useEffect(() => {
-    document.title = `${logService[0].toUpperCase()}${logService.substring(1)} Logs - Frigate`;
-  }, [logService]);
+    document.title = t("documentTitle.logs." + logService);
+  }, [logService, t]);
 
   useEffect(() => {
     if (tabsRef.current) {
@@ -42,99 +59,246 @@ function Logs() {
       );
       if (element instanceof HTMLElement) {
         scrollIntoView(element, {
-          behavior: "smooth",
+          behavior:
+            isMobile && isIOS && !isPWA && isInIframe ? "auto" : "smooth",
           inline: "start",
         });
       }
     }
   }, [tabsRef, logService]);
 
-  // log data handling
+  // log settings
 
-  const logPageSize = useMemo(() => {
-    if (isMobileOnly) {
-      return 15;
-    }
+  const [logSettings, setLogSettings] = useState<LogSettingsType>({
+    disableStreaming: false,
+  });
 
-    if (isTablet) {
-      return 25;
-    }
+  // filter
 
-    return 40;
-  }, []);
+  const filterLines = useCallback(
+    (lines: string[]) => {
+      if (!filterSeverity?.length) return lines;
 
-  const [logRange, setLogRange] = useState<LogRange>({ start: 0, end: 0 });
-  const [logs, setLogs] = useState<string[]>([]);
-  const [logLines, setLogLines] = useState<LogLine[]>([]);
+      return lines.filter((line) => {
+        const parsedLine = parseLogLines(logService, [line])[0];
+        return filterSeverity.includes(parsedLine.severity);
+      });
+    },
+    [filterSeverity, logService],
+  );
 
-  useEffect(() => {
-    axios
-      .get(`logs/${logService}?start=-${logPageSize}`)
-      .then((resp) => {
-        if (resp.status == 200) {
-          const data = resp.data as LogData;
-          setLogRange({
-            start: Math.max(0, data.totalLines - logPageSize),
-            end: data.totalLines,
-          });
-          setLogs(data.lines);
-          setLogLines(parseLogLines(logService, data.lines));
+  // fetchers
+
+  const fetchLogRange = useCallback(
+    async (start: number, end: number) => {
+      try {
+        const response = await axios.get(`logs/${logService}`, {
+          params: { start, end },
+        });
+        if (
+          response.status === 200 &&
+          response.data &&
+          Array.isArray(response.data.lines)
+        ) {
+          const filteredLines = filterLines(response.data.lines);
+          return filteredLines;
         }
+      } catch (error) {
+        const errorMessage =
+          error instanceof Error ? error.message : "An unknown error occurred";
+        toast.error(
+          t("logs.toast.error.fetchingLogsFailed", { errorMessage }),
+          {
+            position: "top-center",
+          },
+        );
+      }
+      return [];
+    },
+    [logService, filterLines, t],
+  );
+
+  const fetchInitialLogs = useCallback(async () => {
+    setIsLoading(true);
+    try {
+      const response = await axios.get(`logs/${logService}`, {
+        params: { start: filterSeverity ? 0 : -100 },
+      });
+      if (
+        response.status === 200 &&
+        response.data &&
+        Array.isArray(response.data.lines)
+      ) {
+        const filteredLines = filterLines(response.data.lines);
+        setLogs(filteredLines);
+        lastFetchedIndexRef.current =
+          response.data.totalLines - filteredLines.length;
+      }
+    } catch (error) {
+      const errorMessage =
+        error instanceof Error ? error.message : "An unknown error occurred";
+      toast.error(t("logs.toast.error.fetchingLogsFailed", { errorMessage }), {
+        position: "top-center",
+      });
+    } finally {
+      setIsLoading(false);
+    }
+  }, [logService, filterLines, filterSeverity, t]);
+
+  const abortControllerRef = useRef<AbortController | null>(null);
+
+  const fetchLogsStream = useCallback(() => {
+    // Cancel any existing stream
+    abortControllerRef.current?.abort();
+    const abortController = new AbortController();
+    abortControllerRef.current = abortController;
+    let buffer = "";
+    const decoder = new TextDecoder();
+
+    const processStreamChunk = (
+      reader: ReadableStreamDefaultReader<Uint8Array>,
+    ): Promise<void> => {
+      return reader.read().then(({ done, value }) => {
+        if (done) return;
+
+        // Decode the chunk and add it to our buffer
+        buffer += decoder.decode(value, { stream: true });
+
+        // Split on newlines, keeping any partial line in the buffer
+        const lines = buffer.split("\n");
+
+        // Keep the last partial line
+        buffer = lines.pop() || "";
+
+        // Filter and append complete lines
+        if (lines.length > 0) {
+          const filteredLines = filterSeverity?.length
+            ? lines.filter((line) => {
+                const parsedLine = parseLogLines(logService, [line])[0];
+                return filterSeverity.includes(parsedLine.severity);
+              })
+            : lines;
+          if (filteredLines.length > 0) {
+            lazyLogRef.current?.appendLines(filteredLines);
+          }
+        }
+        // Process next chunk
+        return processStreamChunk(reader);
+      });
+    };
+
+    fetch(`api/logs/${logService}?stream=true`, {
+      signal: abortController.signal,
+    })
+      .then((response): Promise<void> => {
+        if (!response.ok) {
+          throw new Error(
+            `Error while fetching log stream, status: ${response.status}`,
+          );
+        }
+        const reader = response.body?.getReader();
+        if (!reader) {
+          throw new Error("No reader available");
+        }
+        return processStreamChunk(reader);
       })
-      .catch(() => {});
-  }, [logPageSize, logService]);
+      .catch((error) => {
+        if (error.name !== "AbortError") {
+          const errorMessage =
+            error instanceof Error
+              ? error.message
+              : "An unknown error occurred";
+          toast.error(
+            t("logs.toast.error.whileStreamingLogs", { errorMessage }),
+          );
+        }
+      });
+  }, [logService, filterSeverity, t]);
 
   useEffect(() => {
-    if (!logs || logs.length == 0) {
-      return;
-    }
-
-    const id = setTimeout(() => {
-      axios
-        .get(`logs/${logService}?start=${logRange.end}`)
-        .then((resp) => {
-          if (resp.status == 200) {
-            const data = resp.data as LogData;
-
-            if (data.lines.length > 0) {
-              setLogRange({
-                start: logRange.start,
-                end: data.totalLines,
-              });
-              setLogs([...logs, ...data.lines]);
-              setLogLines([
-                ...logLines,
-                ...parseLogLines(logService, data.lines),
-              ]);
-            }
-          }
-        })
-        .catch(() => {});
-    }, 5000);
+    setIsLoading(true);
+    setLogs([]);
+    lastFetchedIndexRef.current = -1;
+    fetchInitialLogs().then(() => {
+      // Start streaming after initial load
+      if (!logSettings.disableStreaming) {
+        fetchLogsStream();
+      }
+    });
 
     return () => {
-      if (id) {
-        clearTimeout(id);
-      }
+      abortControllerRef.current?.abort();
     };
-    // we need to listen on the current range of visible items
+    // we know that these deps are correct
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [logLines, logService, logRange]);
+  }, [logService, filterSeverity]);
 
-  // convert to log data
+  // handlers
+
+  const prependLines = useCallback((newLines: string[]) => {
+    if (!lazyLogRef.current) return;
+
+    const newLinesArray = newLines.map(
+      (line) => new Uint8Array(new TextEncoder().encode(line + "\n")),
+    );
+
+    lazyLogRef.current.setState((prevState) => ({
+      ...prevState,
+      lines: prevState.lines.unshift(...newLinesArray),
+      count: prevState.count + newLines.length,
+    }));
+  }, []);
+
+  // debounced
+  const handleScroll = useMemo(
+    () =>
+      debounce(() => {
+        const scrollThreshold =
+          lazyLogRef.current?.listRef.current?.findEndIndex() ?? 10;
+        const startIndex =
+          lazyLogRef.current?.listRef.current?.findStartIndex() ?? 0;
+        const endIndex =
+          lazyLogRef.current?.listRef.current?.findEndIndex() ?? 0;
+        const pageSize = endIndex - startIndex;
+        if (
+          scrollThreshold < pageSize + pageSize / 2 &&
+          lastFetchedIndexRef.current > 0 &&
+          !isLoading
+        ) {
+          const nextEnd = lastFetchedIndexRef.current;
+          const nextStart = Math.max(0, nextEnd - (pageSize || 100));
+          setIsLoading(true);
+
+          fetchLogRange(nextStart, nextEnd).then((newLines) => {
+            if (newLines.length > 0) {
+              prependLines(newLines);
+              lastFetchedIndexRef.current = nextStart;
+
+              lazyLogRef.current?.listRef.current?.scrollTo(
+                newLines.length *
+                  lazyLogRef.current?.listRef.current?.getItemSize(1),
+              );
+            }
+          });
+
+          setIsLoading(false);
+        }
+      }, 50),
+    [fetchLogRange, isLoading, prependLines],
+  );
 
   const handleCopyLogs = useCallback(() => {
-    if (logs) {
-      copy(logs.join("\n"));
-      toast.success(
-        logRange.start == 0
-          ? "Copied logs to clipboard"
-          : "Copied visible logs to clipboard",
-      );
-    } else {
-      toast.error("Could not copy logs to clipboard");
+    if (logs.length) {
+      fetchInitialLogs()
+        .then(() => {
+          copy(logs.join("\n"));
+          toast.success(t("logs.copy.success"));
+        })
+        .catch(() => {
+          toast.error(t("logs.copy.error"));
+        });
     }
-  }, [logs, logRange]);
+  }, [logs, fetchInitialLogs, t]);
 
   const handleDownloadLogs = useCallback(() => {
     axios
@@ -157,153 +321,76 @@ function Logs() {
       .catch(() => {});
   }, [logService]);
 
-  // scroll to bottom
-
-  const [initialScroll, setInitialScroll] = useState(false);
-
-  const contentRef = useRef<HTMLDivElement | null>(null);
-  const [endVisible, setEndVisible] = useState(true);
-  const endObserver = useRef<IntersectionObserver | null>(null);
-  const endLogRef = useCallback(
-    (node: HTMLElement | null) => {
-      if (endObserver.current) endObserver.current.disconnect();
-      try {
-        endObserver.current = new IntersectionObserver((entries) => {
-          setEndVisible(entries[0].isIntersecting);
-        });
-        if (node) endObserver.current.observe(node);
-      } catch (e) {
-        // no op
-      }
+  const handleRowClick = useCallback(
+    (rowInfo: { lineNumber: number; rowIndex: number }) => {
+      const clickedLine = parseLogLines(logService, [
+        logs[rowInfo.rowIndex],
+      ])[0];
+      setSelectedLog(clickedLine);
     },
-    [setEndVisible],
-  );
-  const startObserver = useRef<IntersectionObserver | null>(null);
-  const startLogRef = useCallback(
-    (node: HTMLElement | null) => {
-      if (startObserver.current) startObserver.current.disconnect();
-
-      if (logs.length == 0 || !initialScroll) {
-        return;
-      }
-
-      try {
-        startObserver.current = new IntersectionObserver(
-          (entries) => {
-            if (entries[0].isIntersecting && logRange.start > 0) {
-              const start = Math.max(0, logRange.start - logPageSize);
-
-              axios
-                .get(`logs/${logService}?start=${start}&end=${logRange.start}`)
-                .then((resp) => {
-                  if (resp.status == 200) {
-                    const data = resp.data as LogData;
-
-                    if (data.lines.length > 0) {
-                      setLogRange({
-                        start: start,
-                        end: logRange.end,
-                      });
-                      setLogs([...data.lines, ...logs]);
-                      setLogLines([
-                        ...parseLogLines(logService, data.lines),
-                        ...logLines,
-                      ]);
-                    }
-                  }
-                })
-                .catch(() => {});
-              contentRef.current?.scrollBy({
-                top: 10,
-              });
-            }
-          },
-          { rootMargin: `${10 * (isMobile ? 64 : 48)}px 0px 0px 0px` },
-        );
-        if (node) startObserver.current.observe(node);
-      } catch (e) {
-        // no op
-      }
-    },
-    // we need to listen on the current range of visible items
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-    [logRange, initialScroll],
+    [logs, logService],
   );
 
-  useEffect(() => {
-    if (logLines.length == 0) {
-      setInitialScroll(false);
-      return;
-    }
-
-    if (initialScroll) {
-      return;
-    }
-
-    if (!contentRef.current) {
-      return;
-    }
-
-    if (contentRef.current.scrollHeight <= contentRef.current.clientHeight) {
-      setInitialScroll(true);
-      return;
-    }
-
-    contentRef.current?.scrollTo({
-      top: contentRef.current?.scrollHeight,
-      behavior: "instant",
-    });
-    setTimeout(() => setInitialScroll(true), 300);
-    // we need to listen on the current range of visible items
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [logLines, logService]);
-
-  // log filtering
-
-  const [filterSeverity, setFilterSeverity] = useState<LogSeverity[]>();
-
-  // log selection
-
-  const [selectedLog, setSelectedLog] = useState<LogLine>();
-
-  // interaction
+  // keyboard listener
 
   useKeyboardListener(
     ["PageDown", "PageUp", "ArrowDown", "ArrowUp"],
     (key, modifiers) => {
-      if (!modifiers.down) {
+      if (!key || !modifiers.down || !lazyLogWrapperRef.current) {
         return;
       }
 
-      switch (key) {
-        case "PageDown":
-          contentRef.current?.scrollBy({
-            top: 480,
-          });
-          break;
-        case "PageUp":
-          contentRef.current?.scrollBy({
-            top: -480,
-          });
-          break;
-        case "ArrowDown":
-          contentRef.current?.scrollBy({
-            top: 48,
-          });
-          break;
-        case "ArrowUp":
-          contentRef.current?.scrollBy({
-            top: -48,
-          });
-          break;
+      const container =
+        lazyLogWrapperRef.current.querySelector(".react-lazylog");
+
+      const logLineHeight = container?.querySelector(".log-line")?.clientHeight;
+
+      if (!logLineHeight) {
+        return;
       }
+
+      const scrollAmount = key.includes("Page")
+        ? logLineHeight * 10
+        : logLineHeight;
+      const direction = key.includes("Down") ? 1 : -1;
+      container?.scrollBy({ top: scrollAmount * direction });
     },
   );
 
+  // format lines
+
+  const lineBufferRef = useRef<string>("");
+
+  const formatPart = useCallback(
+    (text: string) => {
+      lineBufferRef.current += text;
+
+      if (text.endsWith("\n")) {
+        const completeLine = lineBufferRef.current.trim();
+        lineBufferRef.current = "";
+
+        if (completeLine) {
+          const parsedLine = parseLogLines(logService, [completeLine])[0];
+          return (
+            <LogLineData
+              line={parsedLine}
+              logService={logService}
+              onClickSeverity={() => setFilterSeverity([parsedLine.severity])}
+              onSelect={() => setSelectedLog(parsedLine)}
+            />
+          );
+        }
+      }
+
+      return null;
+    },
+    [logService, setFilterSeverity, setSelectedLog],
+  );
+
   useEffect(() => {
     const handleCopy = (e: ClipboardEvent) => {
       e.preventDefault();
-      if (!contentRef.current) return;
+      if (!lazyLogWrapperRef.current) return;
 
       const selection = window.getSelection();
       if (!selection) return;
@@ -371,7 +458,7 @@ function Logs() {
       e.clipboardData?.setData("text/plain", copyText);
     };
 
-    const content = contentRef.current;
+    const content = lazyLogWrapperRef.current;
     content?.addEventListener("copy", handleCopy);
     return () => {
       content?.removeEventListener("copy", handleCopy);
@@ -393,11 +480,10 @@ function Logs() {
               onValueChange={(value: LogType) => {
                 if (value) {
                   setLogs([]);
-                  setLogLines([]);
                   setFilterSeverity(undefined);
                   setLogService(value);
                 }
-              }} // don't allow the severity to be unselected
+              }}
             >
               {Object.values(logTypes).map((item) => (
                 <ToggleGroupItem
@@ -407,7 +493,7 @@ function Logs() {
                   data-nav-item={item}
                   aria-label={`Select ${item}`}
                 >
-                  <div className="capitalize">{item}</div>
+                  <div className="smart-capitalize">{item}</div>
                 </ToggleGroupItem>
               ))}
             </ToggleGroup>
@@ -417,146 +503,166 @@ function Logs() {
         <div className="flex items-center gap-2">
           <Button
             className="flex items-center justify-between gap-2"
-            aria-label="Copy logs to clipboard"
+            aria-label={t("logs.copy.label")}
             size="sm"
             onClick={handleCopyLogs}
           >
             <FaCopy className="text-secondary-foreground" />
             <div className="hidden text-primary md:block">
-              Copy to Clipboard
+              {t("logs.copy.label")}
             </div>
           </Button>
           <Button
             className="flex items-center justify-between gap-2"
-            aria-label="Download logs"
+            aria-label={t("logs.download.label")}
             size="sm"
             onClick={handleDownloadLogs}
           >
             <FaDownload className="text-secondary-foreground" />
-            <div className="hidden text-primary md:block">Download</div>
+            <div className="hidden text-primary md:block">
+              {t("button.download", { ns: "common" })}
+            </div>
           </Button>
-          <LogLevelFilterButton
+          <LogSettingsButton
             selectedLabels={filterSeverity}
             updateLabelFilter={setFilterSeverity}
+            logSettings={logSettings}
+            setLogSettings={setLogSettings}
           />
         </div>
       </div>
 
-      {initialScroll && !endVisible && (
-        <Button
-          className="absolute bottom-8 left-[50%] z-20 flex -translate-x-[50%] items-center gap-1 rounded-md p-2"
-          aria-label="Jump to bottom of logs"
-          onClick={() =>
-            contentRef.current?.scrollTo({
-              top: contentRef.current?.scrollHeight,
-              behavior: "smooth",
-            })
-          }
-        >
-          <MdVerticalAlignBottom />
-          Jump to Bottom
-        </Button>
-      )}
-
-      <div className="font-mono relative my-2 flex size-full flex-col overflow-hidden whitespace-pre-wrap rounded-md border border-secondary bg-background_alt text-sm sm:p-2">
-        <div className="grid grid-cols-5 *:px-2 *:py-3 *:text-sm *:text-primary/40 sm:grid-cols-8 md:grid-cols-12">
-          <div className="flex items-center p-1 capitalize">Type</div>
-          <div className="col-span-2 flex items-center sm:col-span-1">
-            Timestamp
+      <div className="font-mono relative my-2 flex size-full flex-col overflow-hidden whitespace-pre-wrap rounded-md border border-secondary bg-background_alt text-xs sm:p-1">
+        <div className="grid grid-cols-5 *:px-0 *:py-3 *:text-sm *:text-primary/40 md:grid-cols-12">
+          <div className="col-span-3 lg:col-span-2">
+            <div className="flex w-full flex-row items-center">
+              <div className="ml-1 min-w-16 smart-capitalize lg:min-w-20">
+                {t("logs.type.label")}
+              </div>
+              <div className="mr-3">{t("logs.type.timestamp")}</div>
+            </div>
           </div>
-          <div className="col-span-2 flex items-center">Tag</div>
-          <div className="col-span-5 flex items-center sm:col-span-4 md:col-span-8">
-            Message
+          <div
+            className={cn(
+              "flex items-center",
+              logService == "frigate" ? "col-span-2" : "col-span-1",
+            )}
+          >
+            {t("logs.type.tag")}
+          </div>
+          <div
+            className={cn(
+              "col-span-5 flex items-center",
+              logService == "frigate"
+                ? "md:col-span-7 lg:col-span-8"
+                : "md:col-span-8 lg:col-span-9",
+            )}
+          >
+            <div className="flex flex-1">{t("logs.type.message")}</div>
           </div>
         </div>
-        <div
-          ref={contentRef}
-          className="no-scrollbar flex w-full flex-col overflow-y-auto overscroll-contain"
-        >
-          {logLines.length > 0 &&
-            [...Array(logRange.end).keys()].map((idx) => {
-              const logLine =
-                idx >= logRange.start
-                  ? logLines[idx - logRange.start]
-                  : undefined;
 
-              if (logLine) {
-                const line = logLines[idx - logRange.start];
-                if (filterSeverity && !filterSeverity.includes(line.severity)) {
-                  return (
-                    <div
-                      ref={idx == logRange.start + 10 ? startLogRef : undefined}
-                    />
-                  );
-                }
-
-                return (
-                  <LogLineData
-                    key={`${idx}-${logService}`}
-                    startRef={
-                      idx == logRange.start + 10 ? startLogRef : undefined
+        <div ref={lazyLogWrapperRef} className="size-full">
+          {isLoading ? (
+            <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+          ) : (
+            <EnhancedScrollFollow
+              startFollowing={!isLoading}
+              onCustomScroll={handleScroll}
+              render={({ follow, onScroll }) => (
+                <>
+                  {follow && !logSettings.disableStreaming && (
+                    <div className="absolute right-1 top-3">
+                      <Tooltip>
+                        <TooltipTrigger>
+                          <MdCircle className="mr-2 size-2 animate-pulse cursor-default text-selected shadow-selected drop-shadow-md" />
+                        </TooltipTrigger>
+                        <TooltipContent>{t("logs.tips")}</TooltipContent>
+                      </Tooltip>
+                    </div>
+                  )}
+                  <LazyLog
+                    ref={lazyLogRef}
+                    enableLineNumbers={false}
+                    selectableLines
+                    lineClassName="text-primary bg-background"
+                    highlightLineClassName="bg-primary/20"
+                    onRowClick={handleRowClick}
+                    formatPart={formatPart}
+                    text={logs.join("\n")}
+                    follow={follow}
+                    onScroll={onScroll}
+                    loadingComponent={
+                      <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
                     }
-                    className={initialScroll ? "" : "invisible"}
-                    line={line}
-                    onClickSeverity={() => setFilterSeverity([line.severity])}
-                    onSelect={() => setSelectedLog(line)}
+                    loading={isLoading}
                   />
-                );
-              }
-
-              return (
-                <div
-                  key={`${idx}-${logService}`}
-                  className={isDesktop ? "h-12" : "h-16"}
-                />
-              );
-            })}
-          {logLines.length > 0 && <div id="page-bottom" ref={endLogRef} />}
+                </>
+              )}
+            />
+          )}
         </div>
-        {logLines.length == 0 && (
-          <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
-        )}
       </div>
     </div>
   );
 }
 
 type LogLineDataProps = {
-  startRef?: (node: HTMLDivElement | null) => void;
-  className: string;
+  className?: string;
   line: LogLine;
+  logService: string;
   onClickSeverity: () => void;
   onSelect: () => void;
 };
+
 function LogLineData({
-  startRef,
   className,
   line,
+  logService,
   onClickSeverity,
   onSelect,
 }: LogLineDataProps) {
   return (
     <div
-      ref={startRef}
       className={cn(
-        "grid w-full cursor-pointer grid-cols-5 gap-2 border-t border-secondary py-2 hover:bg-muted sm:grid-cols-8 md:grid-cols-12",
+        "grid w-full cursor-pointer grid-cols-5 gap-2 border-t border-secondary bg-background_alt py-1 hover:bg-muted md:grid-cols-12 md:py-0",
         className,
-        "*:text-sm",
+        "text-xs lg:text-sm/5",
       )}
       onClick={onSelect}
     >
-      <div className="log-severity flex h-full items-center gap-2 p-1">
-        <LogChip severity={line.severity} onClickSeverity={onClickSeverity} />
+      <div className="col-span-3 flex h-full items-center gap-2 lg:col-span-2">
+        <div className="flex w-full flex-row items-center">
+          <div className="log-severity p-1">
+            <LogChip
+              severity={line.severity}
+              onClickSeverity={onClickSeverity}
+            />
+          </div>
+          <div className="log-timestamp whitespace-normal">
+            {line.dateStamp}
+          </div>
+        </div>
       </div>
-      <div className="log-timestamp col-span-2 flex h-full items-center sm:col-span-1">
-        {line.dateStamp}
-      </div>
-      <div className="log-section col-span-2 flex size-full items-center pr-2">
+
+      <div
+        className={cn(
+          "log-section flex size-full items-center pr-2",
+          logService == "frigate" ? "col-span-2" : "col-span-1",
+        )}
+      >
         <div className="w-full overflow-hidden text-ellipsis whitespace-nowrap">
           {line.section}
         </div>
       </div>
-      <div className="log-content col-span-5 flex size-full items-center justify-between pl-2 pr-2 sm:col-span-4 sm:pl-0 md:col-span-8">
+      <div
+        className={cn(
+          "log-content col-span-5 flex size-full items-center justify-between px-2 md:px-0 md:pr-2",
+          logService == "frigate"
+            ? "md:col-span-7 lg:col-span-8"
+            : "md:col-span-8 lg:col-span-9",
+        )}
+      >
         <div className="w-full overflow-hidden text-ellipsis whitespace-nowrap">
           {line.content}
         </div>
diff --git a/web/src/pages/NoMatch.tsx b/web/src/pages/NoMatch.tsx
index 933794abb..a315d3b07 100644
--- a/web/src/pages/NoMatch.tsx
+++ b/web/src/pages/NoMatch.tsx
@@ -1,15 +1,17 @@
 import Heading from "@/components/ui/heading";
 import { useEffect } from "react";
+import { useTranslation } from "react-i18next";
 
 function NoMatch() {
+  const { t } = useTranslation(["common"]);
   useEffect(() => {
-    document.title = "Not Found - Frigate";
-  }, []);
+    document.title = t("notFound.documentTitle");
+  }, [t]);
 
   return (
     <>
-      <Heading as="h2">404</Heading>
-      <p>Page not found</p>
+      <Heading as="h2">{t("notFound.title")}</Heading>
+      <p>{t("notFound.desc")}</p>
     </>
   );
 }
diff --git a/web/src/pages/Settings.tsx b/web/src/pages/Settings.tsx
index 92d992f8a..368d4dea0 100644
--- a/web/src/pages/Settings.tsx
+++ b/web/src/pages/Settings.tsx
@@ -20,7 +20,7 @@ import { Drawer, DrawerContent, DrawerTrigger } from "@/components/ui/drawer";
 import { Button } from "@/components/ui/button";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import useOptimisticState from "@/hooks/use-optimistic-state";
-import { isMobile } from "react-device-detect";
+import { isIOS, isMobile } from "react-device-detect";
 import { FaVideo } from "react-icons/fa";
 import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
 import useSWR from "swr";
@@ -35,40 +35,48 @@ import MotionTunerView from "@/views/settings/MotionTunerView";
 import MasksAndZonesView from "@/views/settings/MasksAndZonesView";
 import AuthenticationView from "@/views/settings/AuthenticationView";
 import NotificationView from "@/views/settings/NotificationsSettingsView";
-import SearchSettingsView from "@/views/settings/SearchSettingsView";
+import EnrichmentsSettingsView from "@/views/settings/EnrichmentsSettingsView";
 import UiSettingsView from "@/views/settings/UiSettingsView";
+import FrigatePlusSettingsView from "@/views/settings/FrigatePlusSettingsView";
+import { useSearchEffect } from "@/hooks/use-overlay-state";
+import { useSearchParams } from "react-router-dom";
+import { useInitialCameraState } from "@/api/ws";
+import { isInIframe } from "@/utils/isIFrame";
+import { isPWA } from "@/utils/isPWA";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import { useTranslation } from "react-i18next";
 
 const allSettingsViews = [
-  "UI settings",
-  "explore settings",
-  "camera settings",
-  "masks / zones",
-  "motion tuner",
+  "ui",
+  "enrichments",
+  "cameras",
+  "masksAndZones",
+  "motionTuner",
   "debug",
   "users",
   "notifications",
+  "frigateplus",
 ] as const;
 type SettingsType = (typeof allSettingsViews)[number];
 
 export default function Settings() {
-  const [page, setPage] = useState<SettingsType>("UI settings");
+  const { t } = useTranslation(["views/settings"]);
+  const [page, setPage] = useState<SettingsType>("ui");
   const [pageToggle, setPageToggle] = useOptimisticState(page, setPage, 100);
   const tabsRef = useRef<HTMLDivElement | null>(null);
 
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  // available settings views
+  const [searchParams] = useSearchParams();
 
-  const settingsViews = useMemo(() => {
-    const views = [...allSettingsViews];
+  // auth and roles
 
-    if (!("Notification" in window) || !window.isSecureContext) {
-      const index = views.indexOf("notifications");
-      views.splice(index, 1);
-    }
+  const isAdmin = useIsAdmin();
 
-    return views;
-  }, []);
+  const allowedViewsForViewer: SettingsType[] = ["ui", "debug"];
+  const visibleSettingsViews = !isAdmin
+    ? allowedViewsForViewer
+    : allSettingsViews;
 
   // TODO: confirm leave page
   const [unsavedChanges, setUnsavedChanges] = useState(false);
@@ -80,12 +88,33 @@ export default function Settings() {
     }
 
     return Object.values(config.cameras)
-      .filter((conf) => conf.ui.dashboard && conf.enabled)
+      .filter((conf) => conf.ui.dashboard && conf.enabled_in_config)
       .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
   }, [config]);
 
   const [selectedCamera, setSelectedCamera] = useState<string>("");
 
+  const { payload: allCameraStates } = useInitialCameraState(
+    cameras.length > 0 ? cameras[0].name : "",
+    true,
+  );
+
+  const cameraEnabledStates = useMemo(() => {
+    const states: Record<string, boolean> = {};
+    if (allCameraStates) {
+      Object.entries(allCameraStates).forEach(([camName, state]) => {
+        states[camName] = state.config?.enabled ?? false;
+      });
+    }
+    // fallback to config if ws data isn’t available yet
+    cameras.forEach((cam) => {
+      if (!(cam.name in states)) {
+        states[cam.name] = cam.enabled;
+      }
+    });
+    return states;
+  }, [allCameraStates, cameras]);
+
   const [filterZoneMask, setFilterZoneMask] = useState<PolygonType[]>();
 
   const handleDialog = useCallback(
@@ -100,10 +129,22 @@ export default function Settings() {
   );
 
   useEffect(() => {
-    if (cameras.length > 0 && selectedCamera === "") {
-      setSelectedCamera(cameras[0].name);
+    if (cameras.length > 0) {
+      if (!selectedCamera) {
+        // Set to first enabled camera initially if no selection
+        const firstEnabledCamera =
+          cameras.find((cam) => cameraEnabledStates[cam.name]) || cameras[0];
+        setSelectedCamera(firstEnabledCamera.name);
+      } else if (!cameraEnabledStates[selectedCamera] && page !== "cameras") {
+        // Switch to first enabled camera if current one is disabled, unless on "camera settings" page
+        const firstEnabledCamera =
+          cameras.find((cam) => cameraEnabledStates[cam.name]) || cameras[0];
+        if (firstEnabledCamera.name !== selectedCamera) {
+          setSelectedCamera(firstEnabledCamera.name);
+        }
+      }
     }
-  }, [cameras, selectedCamera]);
+  }, [cameras, selectedCamera, cameraEnabledStates, page]);
 
   useEffect(() => {
     if (tabsRef.current) {
@@ -112,16 +153,39 @@ export default function Settings() {
       );
       if (element instanceof HTMLElement) {
         scrollIntoView(element, {
-          behavior: "smooth",
+          behavior:
+            isMobile && isIOS && !isPWA && isInIframe ? "auto" : "smooth",
           inline: "start",
         });
       }
     }
   }, [tabsRef, pageToggle]);
 
+  useSearchEffect("page", (page: string) => {
+    if (allSettingsViews.includes(page as SettingsType)) {
+      // Restrict viewer to UI settings
+      if (!isAdmin && !["ui", "debug"].includes(page)) {
+        setPage("ui");
+      } else {
+        setPage(page as SettingsType);
+      }
+    }
+    // don't clear url params if we're creating a new object mask
+    return !searchParams.has("object_mask");
+  });
+
+  useSearchEffect("camera", (camera: string) => {
+    const cameraNames = cameras.map((c) => c.name);
+    if (cameraNames.includes(camera)) {
+      setSelectedCamera(camera);
+    }
+    // don't clear url params if we're creating a new object mask
+    return !searchParams.has("object_mask");
+  });
+
   useEffect(() => {
-    document.title = "Settings - Frigate";
-  }, []);
+    document.title = t("documentTitle.default");
+  }, [t]);
 
   return (
     <div className="flex size-full flex-col p-2">
@@ -135,19 +199,27 @@ export default function Settings() {
               value={pageToggle}
               onValueChange={(value: SettingsType) => {
                 if (value) {
-                  setPageToggle(value);
+                  // Restrict viewer navigation
+                  if (!isAdmin && !["ui", "debug"].includes(value)) {
+                    setPageToggle("ui");
+                  } else {
+                    setPageToggle(value);
+                  }
                 }
               }}
             >
-              {Object.values(settingsViews).map((item) => (
+              {visibleSettingsViews.map((item) => (
                 <ToggleGroupItem
                   key={item}
-                  className={`flex scroll-mx-10 items-center justify-between gap-2 ${page == "UI settings" ? "last:mr-20" : ""} ${pageToggle == item ? "" : "*:text-muted-foreground"}`}
+                  className={`flex scroll-mx-10 items-center justify-between gap-2 ${page == "ui" ? "last:mr-20" : ""} ${pageToggle == item ? "" : "*:text-muted-foreground"}`}
                   value={item}
                   data-nav-item={item}
-                  aria-label={`Select ${item}`}
+                  aria-label={t("selectItem", {
+                    ns: "common",
+                    item: t("menu." + item),
+                  })}
                 >
-                  <div className="capitalize">{item}</div>
+                  <div className="smart-capitalize">{t("menu." + item)}</div>
                 </ToggleGroupItem>
               ))}
             </ToggleGroup>
@@ -155,11 +227,11 @@ export default function Settings() {
           </div>
         </ScrollArea>
         {(page == "debug" ||
-          page == "camera settings" ||
-          page == "masks / zones" ||
-          page == "motion tuner") && (
+          page == "cameras" ||
+          page == "masksAndZones" ||
+          page == "motionTuner") && (
           <div className="ml-2 flex flex-shrink-0 items-center gap-2">
-            {page == "masks / zones" && (
+            {page == "masksAndZones" && (
               <ZoneMaskFilterButton
                 selectedZoneMask={filterZoneMask}
                 updateZoneMaskFilter={setFilterZoneMask}
@@ -169,32 +241,34 @@ export default function Settings() {
               allCameras={cameras}
               selectedCamera={selectedCamera}
               setSelectedCamera={setSelectedCamera}
+              cameraEnabledStates={cameraEnabledStates}
+              currentPage={page}
             />
           </div>
         )}
       </div>
       <div className="mt-2 flex h-full w-full flex-col items-start md:h-dvh md:pb-24">
-        {page == "UI settings" && <UiSettingsView />}
-        {page == "explore settings" && (
-          <SearchSettingsView setUnsavedChanges={setUnsavedChanges} />
+        {page == "ui" && <UiSettingsView />}
+        {page == "enrichments" && (
+          <EnrichmentsSettingsView setUnsavedChanges={setUnsavedChanges} />
         )}
         {page == "debug" && (
           <ObjectSettingsView selectedCamera={selectedCamera} />
         )}
-        {page == "camera settings" && (
+        {page == "cameras" && (
           <CameraSettingsView
             selectedCamera={selectedCamera}
             setUnsavedChanges={setUnsavedChanges}
           />
         )}
-        {page == "masks / zones" && (
+        {page == "masksAndZones" && (
           <MasksAndZonesView
             selectedCamera={selectedCamera}
             selectedZoneMask={filterZoneMask}
             setUnsavedChanges={setUnsavedChanges}
           />
         )}
-        {page == "motion tuner" && (
+        {page == "motionTuner" && (
           <MotionTunerView
             selectedCamera={selectedCamera}
             setUnsavedChanges={setUnsavedChanges}
@@ -204,6 +278,9 @@ export default function Settings() {
         {page == "notifications" && (
           <NotificationView setUnsavedChanges={setUnsavedChanges} />
         )}
+        {page == "frigateplus" && (
+          <FrigatePlusSettingsView setUnsavedChanges={setUnsavedChanges} />
+        )}
       </div>
       {confirmationDialogOpen && (
         <AlertDialog
@@ -212,17 +289,19 @@ export default function Settings() {
         >
           <AlertDialogContent>
             <AlertDialogHeader>
-              <AlertDialogTitle>You have unsaved changes.</AlertDialogTitle>
+              <AlertDialogTitle>
+                {t("dialog.unsavedChanges.title")}
+              </AlertDialogTitle>
               <AlertDialogDescription>
-                Do you want to save your changes before continuing?
+                {t("dialog.unsavedChanges.desc")}
               </AlertDialogDescription>
             </AlertDialogHeader>
             <AlertDialogFooter>
               <AlertDialogCancel onClick={() => handleDialog(false)}>
-                Cancel
+                {t("button.cancel", { ns: "common" })}
               </AlertDialogCancel>
               <AlertDialogAction onClick={() => handleDialog(true)}>
-                Save
+                {t("button.save", { ns: "common" })}
               </AlertDialogAction>
             </AlertDialogFooter>
           </AlertDialogContent>
@@ -236,29 +315,35 @@ type CameraSelectButtonProps = {
   allCameras: CameraConfig[];
   selectedCamera: string;
   setSelectedCamera: React.Dispatch<React.SetStateAction<string>>;
+  cameraEnabledStates: Record<string, boolean>;
+  currentPage: SettingsType;
 };
 
 function CameraSelectButton({
   allCameras,
   selectedCamera,
   setSelectedCamera,
+  cameraEnabledStates,
+  currentPage,
 }: CameraSelectButtonProps) {
+  const { t } = useTranslation(["views/settings"]);
+
   const [open, setOpen] = useState(false);
 
   if (!allCameras.length) {
-    return;
+    return null;
   }
 
   const trigger = (
     <Button
-      className="flex items-center gap-2 bg-selected capitalize hover:bg-selected"
+      className="flex items-center gap-2 bg-selected smart-capitalize hover:bg-selected"
       aria-label="Select a camera"
       size="sm"
     >
       <FaVideo className="text-background dark:text-primary" />
       <div className="hidden text-background dark:text-primary md:block">
         {selectedCamera == undefined
-          ? "No Camera"
+          ? t("cameraSetting.noCamera")
           : selectedCamera.replaceAll("_", " ")}
       </div>
     </Button>
@@ -268,26 +353,31 @@ function CameraSelectButton({
       {isMobile && (
         <>
           <DropdownMenuLabel className="flex justify-center">
-            Camera
+            {t("cameraSetting.camera")}
           </DropdownMenuLabel>
           <DropdownMenuSeparator />
         </>
       )}
       <div className="scrollbar-container mb-5 h-auto max-h-[80dvh] overflow-y-auto overflow-x-hidden p-4 md:mb-1">
         <div className="flex flex-col gap-2.5">
-          {allCameras.map((item) => (
-            <FilterSwitch
-              key={item.name}
-              isChecked={item.name === selectedCamera}
-              label={item.name.replaceAll("_", " ")}
-              onCheckedChange={(isChecked) => {
-                if (isChecked) {
-                  setSelectedCamera(item.name);
-                  setOpen(false);
-                }
-              }}
-            />
-          ))}
+          {allCameras.map((item) => {
+            const isEnabled = cameraEnabledStates[item.name];
+            const isCameraSettingsPage = currentPage === "cameras";
+            return (
+              <FilterSwitch
+                key={item.name}
+                isChecked={item.name === selectedCamera}
+                label={item.name.replaceAll("_", " ")}
+                onCheckedChange={(isChecked) => {
+                  if (isChecked && (isEnabled || isCameraSettingsPage)) {
+                    setSelectedCamera(item.name);
+                    setOpen(false);
+                  }
+                }}
+                disabled={!isEnabled && !isCameraSettingsPage}
+              />
+            );
+          })}
         </div>
       </div>
     </>
diff --git a/web/src/pages/System.tsx b/web/src/pages/System.tsx
index 23d1b7e6a..61e4d8368 100644
--- a/web/src/pages/System.tsx
+++ b/web/src/pages/System.tsx
@@ -1,24 +1,46 @@
 import useSWR from "swr";
 import { FrigateStats } from "@/types/stats";
-import { useEffect, useState } from "react";
+import { useEffect, useMemo, useState } from "react";
 import TimeAgo from "@/components/dynamic/TimeAgo";
 import { ToggleGroup, ToggleGroupItem } from "@/components/ui/toggle-group";
 import { isDesktop, isMobile } from "react-device-detect";
 import GeneralMetrics from "@/views/system/GeneralMetrics";
 import StorageMetrics from "@/views/system/StorageMetrics";
-import { LuActivity, LuHardDrive } from "react-icons/lu";
+import { LuActivity, LuHardDrive, LuSearchCode } from "react-icons/lu";
 import { FaVideo } from "react-icons/fa";
 import Logo from "@/components/Logo";
 import useOptimisticState from "@/hooks/use-optimistic-state";
 import CameraMetrics from "@/views/system/CameraMetrics";
 import { useHashState } from "@/hooks/use-overlay-state";
-import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { Toaster } from "@/components/ui/sonner";
+import { FrigateConfig } from "@/types/frigateConfig";
+import EnrichmentMetrics from "@/views/system/EnrichmentMetrics";
+import { useTranslation } from "react-i18next";
 
-const metrics = ["general", "storage", "cameras"] as const;
-type SystemMetric = (typeof metrics)[number];
+const allMetrics = ["general", "enrichments", "storage", "cameras"] as const;
+type SystemMetric = (typeof allMetrics)[number];
 
 function System() {
+  const { t } = useTranslation(["views/system"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+
+  const metrics = useMemo(() => {
+    const metrics = [...allMetrics];
+
+    if (
+      !config?.semantic_search.enabled &&
+      !config?.lpr.enabled &&
+      !config?.face_recognition.enabled
+    ) {
+      const index = metrics.indexOf("enrichments");
+      metrics.splice(index, 1);
+    }
+
+    return metrics;
+  }, [config]);
+
   // stats page
 
   const [page, setPage] = useHashState<SystemMetric>();
@@ -31,9 +53,9 @@ function System() {
 
   useEffect(() => {
     if (pageToggle) {
-      document.title = `${capitalizeFirstLetter(pageToggle)} Stats - Frigate`;
+      document.title = t("documentTitle." + pageToggle);
     }
-  }, [pageToggle]);
+  }, [pageToggle, t]);
 
   // stats collection
 
@@ -67,9 +89,12 @@ function System() {
               aria-label={`Select ${item}`}
             >
               {item == "general" && <LuActivity className="size-4" />}
+              {item == "enrichments" && <LuSearchCode className="size-4" />}
               {item == "storage" && <LuHardDrive className="size-4" />}
               {item == "cameras" && <FaVideo className="size-4" />}
-              {isDesktop && <div className="capitalize">{item}</div>}
+              {isDesktop && (
+                <div className="smart-capitalize">{t(item + ".title")}</div>
+              )}
             </ToggleGroupItem>
           ))}
         </ToggleGroup>
@@ -77,13 +102,14 @@ function System() {
         <div className="flex h-full items-center">
           {lastUpdated && (
             <div className="h-full content-center text-sm text-muted-foreground">
-              Last refreshed: <TimeAgo time={lastUpdated * 1000} dense />
+              {t("lastRefreshed")}
+              <TimeAgo time={lastUpdated * 1000} dense />
             </div>
           )}
         </div>
       </div>
       <div className="mt-2 flex items-end gap-2">
-        <div className="h-full content-center font-medium">System</div>
+        <div className="h-full content-center font-medium">{t("title")}</div>
         {statsSnapshot && (
           <div className="h-full content-center text-sm text-muted-foreground">
             {statsSnapshot.service.version}
@@ -96,6 +122,12 @@ function System() {
           setLastUpdated={setLastUpdated}
         />
       )}
+      {page == "enrichments" && (
+        <EnrichmentMetrics
+          lastUpdated={lastUpdated}
+          setLastUpdated={setLastUpdated}
+        />
+      )}
       {page == "storage" && <StorageMetrics setLastUpdated={setLastUpdated} />}
       {page == "cameras" && (
         <CameraMetrics
diff --git a/web/src/pages/UIPlayground.tsx b/web/src/pages/UIPlayground.tsx
index 39f8d3629..95599d594 100644
--- a/web/src/pages/UIPlayground.tsx
+++ b/web/src/pages/UIPlayground.tsx
@@ -1,4 +1,4 @@
-import { useMemo, useRef, useState } from "react";
+import { useCallback, useMemo, useRef, useState } from "react";
 import Heading from "@/components/ui/heading";
 import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
@@ -29,6 +29,8 @@ import { useNavigate } from "react-router-dom";
 import SummaryTimeline from "@/components/timeline/SummaryTimeline";
 import { isMobile } from "react-device-detect";
 import IconPicker, { IconElement } from "@/components/icons/IconPicker";
+import { useTimelineZoom } from "@/hooks/use-timeline-zoom";
+import ObjectPathPlotter from "@/components/overlay/detail/ObjectPathPlotter";
 
 // Color data
 const colors = [
@@ -173,32 +175,37 @@ function UIPlayground() {
     return Math.floor(Date.now() / 1000); // Default to current time if no events
   }, [mockEvents]);
 
-  const [zoomLevel, setZoomLevel] = useState(0);
   const [zoomSettings, setZoomSettings] = useState({
     segmentDuration: 60,
     timestampSpread: 15,
   });
 
-  const possibleZoomLevels = [
-    { segmentDuration: 60, timestampSpread: 15 },
-    { segmentDuration: 30, timestampSpread: 5 },
-    { segmentDuration: 10, timestampSpread: 1 },
-  ];
+  const possibleZoomLevels = useMemo(
+    () => [
+      { segmentDuration: 60, timestampSpread: 15 },
+      { segmentDuration: 30, timestampSpread: 5 },
+      { segmentDuration: 10, timestampSpread: 1 },
+    ],
+    [],
+  );
 
-  function handleZoomIn() {
-    const nextZoomLevel = Math.min(
-      possibleZoomLevels.length - 1,
-      zoomLevel + 1,
-    );
-    setZoomLevel(nextZoomLevel);
-    setZoomSettings(possibleZoomLevels[nextZoomLevel]);
-  }
+  const handleZoomChange = useCallback(
+    (newZoomLevel: number) => {
+      setZoomSettings(possibleZoomLevels[newZoomLevel]);
+    },
+    [possibleZoomLevels],
+  );
 
-  function handleZoomOut() {
-    const nextZoomLevel = Math.max(0, zoomLevel - 1);
-    setZoomLevel(nextZoomLevel);
-    setZoomSettings(possibleZoomLevels[nextZoomLevel]);
-  }
+  const { zoomLevel, handleZoom, isZooming, zoomDirection } = useTimelineZoom({
+    zoomSettings,
+    zoomLevels: possibleZoomLevels,
+    onZoomChange: handleZoomChange,
+    timelineRef: reviewTimelineRef,
+    timelineDuration: 4 * 60 * 60,
+  });
+
+  const handleZoomIn = () => handleZoom(-1);
+  const handleZoomOut = () => handleZoom(1);
 
   const [isDragging, setIsDragging] = useState(false);
 
@@ -218,6 +225,8 @@ function UIPlayground() {
           <div className="no-scrollbar mr-5 mt-4 flex-1 content-start gap-2 overflow-y-auto">
             <Heading as="h2">UI Playground</Heading>
 
+            <ObjectPathPlotter />
+
             <IconPicker
               selectedIcon={selectedIcon}
               setSelectedIcon={setSelectedIcon}
@@ -330,6 +339,7 @@ function UIPlayground() {
               <div className="my-4 w-[40px]">
                 <CameraActivityIndicator />
               </div>
+              zoom level: {zoomLevel}
               <p>
                 <Button
                   variant="default"
@@ -367,7 +377,6 @@ function UIPlayground() {
                 </a>{" "}
                 for usage.
               </p>
-
               <div className="my-5">
                 {colors.map((color, index) => (
                   <ColorSwatch
@@ -401,9 +410,10 @@ function UIPlayground() {
                 setExportEndTime={setExportEndTime}
                 events={mockEvents} // events, including new has_been_reviewed and severity properties
                 motion_events={mockMotionData}
-                severityType={"alert"} // choose the severity type for the middle line - all other severity types are to the right
                 contentRef={contentRef} // optional content ref where previews are, can be used for observing/scrolling later
                 dense={isMobile} // dense will produce a smaller handlebar and only minute resolution on timestamps
+                isZooming={isZooming} // is the timeline actively zooming?
+                zoomDirection={zoomDirection} // is the timeline zooming in or out
               />
             )}
             {isEventsReviewTimeline && (
@@ -429,6 +439,8 @@ function UIPlayground() {
                 contentRef={contentRef} // optional content ref where previews are, can be used for observing/scrolling later
                 timelineRef={reviewTimelineRef} // save a ref to this timeline to connect with the summary timeline
                 dense // dense will produce a smaller handlebar and only minute resolution on timestamps
+                isZooming={isZooming} // is the timeline actively zooming?
+                zoomDirection={zoomDirection} // is the timeline zooming in or out
               />
             )}
           </div>
diff --git a/web/src/types/canvas.ts b/web/src/types/canvas.ts
index f623e8b48..9c1748ce0 100644
--- a/web/src/types/canvas.ts
+++ b/web/src/types/canvas.ts
@@ -8,6 +8,7 @@ export type Polygon = {
   objects: string[];
   points: number[][];
   pointsOrder?: number[];
+  distances: number[];
   isFinished: boolean;
   color: number[];
 };
@@ -18,6 +19,12 @@ export type ZoneFormValuesType = {
   loitering_time: number;
   isFinished: boolean;
   objects: string[];
+  speedEstimation: boolean;
+  lineA: number;
+  lineB: number;
+  lineC: number;
+  lineD: number;
+  speed_threshold: number;
 };
 
 export type ObjectMaskFormValuesType = {
diff --git a/web/src/types/event.ts b/web/src/types/event.ts
index 0e7aa9916..d7c8ca665 100644
--- a/web/src/types/event.ts
+++ b/web/src/types/event.ts
@@ -22,5 +22,6 @@ export interface Event {
     area: number;
     ratio: number;
     type: "object" | "audio" | "manual";
+    path_data: [number[], number][];
   };
 }
diff --git a/web/src/types/face.ts b/web/src/types/face.ts
new file mode 100644
index 000000000..dc481b64f
--- /dev/null
+++ b/web/src/types/face.ts
@@ -0,0 +1,11 @@
+export type FaceLibraryData = {
+  [faceName: string]: string[];
+};
+
+export type RecognizedFaceData = {
+  filename: string;
+  timestamp: number;
+  eventId: string;
+  name: string;
+  score: number;
+};
diff --git a/web/src/types/frigateConfig.ts b/web/src/types/frigateConfig.ts
index 9f5b93717..a6784e559 100644
--- a/web/src/types/frigateConfig.ts
+++ b/web/src/types/frigateConfig.ts
@@ -8,6 +8,7 @@ export interface UiConfig {
   strftime_fmt?: string;
   dashboard: boolean;
   order: number;
+  unit_system?: "metric" | "imperial";
 }
 
 export interface BirdseyeConfig {
@@ -19,6 +20,15 @@ export interface BirdseyeConfig {
   width: number;
 }
 
+export interface FaceRecognitionConfig {
+  enabled: boolean;
+  model_size: SearchModelSize;
+  unknown_score: number;
+  detection_threshold: number;
+  recognition_threshold: number;
+}
+
+export type SearchModel = "jinav1" | "jinav2";
 export type SearchModelSize = "small" | "large";
 
 export interface CameraConfig {
@@ -55,6 +65,7 @@ export interface CameraConfig {
     width: number;
   };
   enabled: boolean;
+  enabled_in_config: boolean;
   ffmpeg: {
     global_args: string[];
     hwaccel_args: string;
@@ -87,7 +98,7 @@ export interface CameraConfig {
   live: {
     height: number;
     quality: number;
-    stream_name: string;
+    streams: { [key: string]: string };
   };
   motion: {
     contour_area: number;
@@ -110,6 +121,11 @@ export interface CameraConfig {
     timestamp: boolean;
   };
   name: string;
+  notifications: {
+    enabled: boolean;
+    email?: string;
+    enabled_in_config: boolean;
+  };
   objects: {
     filters: {
       [objectName: string]: {
@@ -147,15 +163,20 @@ export interface CameraConfig {
   record: {
     enabled: boolean;
     enabled_in_config: boolean;
-    events: {
-      objects: string[] | null;
+    alerts: {
       post_capture: number;
       pre_capture: number;
-      required_zones: string[];
       retain: {
-        default: number;
+        days: number;
+        mode: string;
+      };
+    };
+    detections: {
+      post_capture: number;
+      pre_capture: number;
+      retain: {
+        days: number;
         mode: string;
-        objects: Record<string, unknown>;
       };
     };
     expire_interval: number;
@@ -173,12 +194,22 @@ export interface CameraConfig {
   };
   review: {
     alerts: {
+      enabled: boolean;
       required_zones: string[];
       labels: string[];
+      retain: {
+        days: number;
+        mode: string;
+      };
     };
     detections: {
+      enabled: boolean;
       required_zones: string[];
       labels: string[];
+      retain: {
+        days: number;
+        mode: string;
+      };
     };
   };
   rtmp: {
@@ -210,14 +241,17 @@ export interface CameraConfig {
     position: string;
     thickness: number;
   };
+  type: string;
   ui: UiConfig;
   webui_url: string | null;
   zones: {
     [zoneName: string]: {
       coordinates: string;
+      distances: string[];
       filters: Record<string, unknown>;
       inertia: number;
       loitering_time: number;
+      speed_threshold: number;
       objects: string[];
       color: number[];
     };
@@ -230,6 +264,24 @@ export type CameraGroupConfig = {
   order: number;
 };
 
+export type StreamType = "no-streaming" | "smart" | "continuous";
+
+export type CameraStreamingSettings = {
+  streamName: string;
+  streamType: StreamType;
+  compatibilityMode: boolean;
+  playAudio: boolean;
+  volume: number;
+};
+
+export type GroupStreamingSettings = {
+  [cameraName: string]: CameraStreamingSettings;
+};
+
+export type AllGroupsStreamingSettings = {
+  [groupName: string]: GroupStreamingSettings;
+};
+
 export interface FrigateConfig {
   audio: {
     enabled: boolean;
@@ -247,6 +299,13 @@ export interface FrigateConfig {
     [cameraName: string]: CameraConfig;
   };
 
+  classification: {
+    bird: {
+      enabled: boolean;
+      threshold: number;
+    };
+  };
+
   database: {
     path: string;
   };
@@ -288,6 +347,8 @@ export interface FrigateConfig {
 
   environment_vars: Record<string, unknown>;
 
+  face_recognition: FaceRecognitionConfig;
+
   ffmpeg: {
     global_args: string[];
     hwaccel_args: string;
@@ -321,10 +382,8 @@ export interface FrigateConfig {
 
   camera_groups: { [groupName: string]: CameraGroupConfig };
 
-  live: {
-    height: number;
-    quality: number;
-    stream_name: string;
+  lpr: {
+    enabled: boolean;
   };
 
   logger: {
@@ -344,6 +403,16 @@ export interface FrigateConfig {
     colormap: { [key: string]: [number, number, number] };
     attributes_map: { [key: string]: [string] };
     all_attributes: [string];
+    plus?: {
+      name: string;
+      id: string;
+      trainDate: string;
+      baseModel: string;
+      isBaseModel: boolean;
+      supportedDetectors: string[];
+      width: number;
+      height: number;
+    };
   };
 
   motion: Record<string, unknown> | null;
@@ -365,6 +434,7 @@ export interface FrigateConfig {
   notifications: {
     enabled: boolean;
     email?: string;
+    enabled_in_config: boolean;
   };
 
   objects: {
@@ -387,6 +457,10 @@ export interface FrigateConfig {
     enabled: boolean;
   };
 
+  proxy: {
+    logout_url?: string;
+  };
+
   record: {
     enabled: boolean;
     enabled_in_config: boolean | null;
@@ -422,6 +496,7 @@ export interface FrigateConfig {
   semantic_search: {
     enabled: boolean;
     reindex: boolean;
+    model: SearchModel;
     model_size: SearchModelSize;
   };
 
diff --git a/web/src/types/graph.ts b/web/src/types/graph.ts
index 6a3eb7663..bfa9dd331 100644
--- a/web/src/types/graph.ts
+++ b/web/src/types/graph.ts
@@ -18,6 +18,11 @@ export const InferenceThreshold = {
   error: 100,
 } as Threshold;
 
+export const EmbeddingThreshold = {
+  warning: 500,
+  error: 1000,
+} as Threshold;
+
 export const DetectorTempThreshold = {
   warning: 72,
   error: 80,
diff --git a/web/src/types/live.ts b/web/src/types/live.ts
index f6c8e463a..ccc6b5e74 100644
--- a/web/src/types/live.ts
+++ b/web/src/types/live.ts
@@ -32,3 +32,17 @@ export type LiveStreamMetadata = {
 };
 
 export type LivePlayerError = "stalled" | "startup" | "mse-decode";
+
+export type AudioState = Record<string, boolean>;
+export type StatsState = Record<string, boolean>;
+export type VolumeState = Record<string, number>;
+
+export type PlayerStatsType = {
+  streamType: string;
+  bandwidth: number;
+  latency: number | undefined;
+  totalFrames: number;
+  droppedFrames: number | undefined;
+  decodedFrames: number | undefined;
+  droppedFrameRate: number | undefined;
+};
diff --git a/web/src/types/log.ts b/web/src/types/log.ts
index 407f67e6d..2e856f574 100644
--- a/web/src/types/log.ts
+++ b/web/src/types/log.ts
@@ -14,3 +14,7 @@ export type LogLine = {
 
 export const logTypes = ["frigate", "go2rtc", "nginx"] as const;
 export type LogType = (typeof logTypes)[number];
+
+export type LogSettingsType = {
+  disableStreaming: boolean;
+};
diff --git a/web/src/types/review.ts b/web/src/types/review.ts
index 73b8fed14..8d567bffc 100644
--- a/web/src/types/review.ts
+++ b/web/src/types/review.ts
@@ -50,6 +50,10 @@ export type ReviewSummary = {
   [day: string]: ReviewSummaryDay;
 };
 
+export type RecordingsSummary = {
+  [day: string]: boolean;
+};
+
 export type MotionData = {
   start_time: number;
   motion?: number;
@@ -60,3 +64,12 @@ export type MotionData = {
 export const REVIEW_PADDING = 4;
 
 export type ReviewDetailPaneType = "overview" | "details";
+
+export type ConsolidatedSegmentData = {
+  startTime: number;
+  endTime: number;
+  severity: ReviewSeverity | "empty";
+  reviewed: boolean;
+};
+
+export type TimelineZoomDirection = "in" | "out" | null;
diff --git a/web/src/types/search.ts b/web/src/types/search.ts
index 1d8de1611..2a57385f7 100644
--- a/web/src/types/search.ts
+++ b/web/src/types/search.ts
@@ -50,11 +50,17 @@ export type SearchResult = {
     score: number;
     sub_label_score?: number;
     region: number[];
+    attributes?: [{ box: number[]; label: string; score: number }];
     box: number[];
     area: number;
     ratio: number;
     type: "object" | "audio" | "manual";
     description?: string;
+    average_estimated_speed: number;
+    velocity_angle: number;
+    path_data: [number[], number][];
+    recognized_license_plate?: string;
+    recognized_license_plate_score?: number;
   };
 };
 
@@ -63,11 +69,14 @@ export type SearchFilter = {
   cameras?: string[];
   labels?: string[];
   sub_labels?: string[];
+  recognized_license_plate?: string[];
   zones?: string[];
   before?: number;
   after?: number;
   min_score?: number;
   max_score?: number;
+  min_speed?: number;
+  max_speed?: number;
   has_snapshot?: number;
   has_clip?: number;
   is_submitted?: number;
@@ -84,11 +93,14 @@ export type SearchQueryParams = {
   cameras?: string[];
   labels?: string[];
   sub_labels?: string[];
+  recognized_license_plate?: string[];
   zones?: string[];
   before?: string;
   after?: string;
   min_score?: number;
   max_score?: number;
+  min_speed?: number;
+  max_speed?: number;
   search_type?: string;
   limit?: number;
   in_progress?: number;
diff --git a/web/src/types/stats.ts b/web/src/types/stats.ts
index 026cf0536..611379be3 100644
--- a/web/src/types/stats.ts
+++ b/web/src/types/stats.ts
@@ -2,7 +2,9 @@ export interface FrigateStats {
   cameras: { [camera_name: string]: CameraStats };
   cpu_usages: { [pid: string]: CpuStats };
   detectors: { [detectorKey: string]: DetectorStats };
+  embeddings?: EmbeddingsStats;
   gpu_usages?: { [gpuKey: string]: GpuStats };
+  npu_usages?: { [npuKey: string]: NpuStats };
   processes: { [processKey: string]: ExtraProcessStats };
   service: ServiceStats;
   detection_fps: number;
@@ -34,6 +36,13 @@ export type DetectorStats = {
   pid: number;
 };
 
+export type EmbeddingsStats = {
+  image_embedding_speed: number;
+  face_embedding_speed: number;
+  plate_recognition_speed: number;
+  text_embedding_speed: number;
+};
+
 export type ExtraProcessStats = {
   pid: number;
 };
@@ -46,6 +55,11 @@ export type GpuStats = {
   pstate?: string;
 };
 
+export type NpuStats = {
+  npu: number;
+  mem: string;
+};
+
 export type GpuInfo = "vainfo" | "nvinfo";
 
 export type ServiceStats = {
diff --git a/web/src/types/timeline.ts b/web/src/types/timeline.ts
index 94ef75eba..45a0821ed 100644
--- a/web/src/types/timeline.ts
+++ b/web/src/types/timeline.ts
@@ -1,3 +1,15 @@
+export enum LifecycleClassType {
+  VISIBLE = "visible",
+  GONE = "gone",
+  ENTERED_ZONE = "entered_zone",
+  ATTRIBUTE = "attribute",
+  ACTIVE = "active",
+  STATIONARY = "stationary",
+  HEARD = "heard",
+  EXTERNAL = "external",
+  PATH_POINT = "path_point",
+}
+
 export type ObjectLifecycleSequence = {
   camera: string;
   timestamp: number;
@@ -10,15 +22,7 @@ export type ObjectLifecycleSequence = {
     attribute: string;
     zones: string[];
   };
-  class_type:
-    | "visible"
-    | "gone"
-    | "entered_zone"
-    | "attribute"
-    | "active"
-    | "stationary"
-    | "heard"
-    | "external";
+  class_type: LifecycleClassType;
   source_id: string;
   source: string;
 };
@@ -28,3 +32,10 @@ export type TimeRange = { before: number; after: number };
 export type TimelineType = "timeline" | "events";
 
 export type TimelineScrubMode = "auto" | "drag" | "hover" | "compat";
+
+export type Position = {
+  x: number;
+  y: number;
+  timestamp: number;
+  lifecycle_item?: ObjectLifecycleSequence;
+};
diff --git a/web/src/types/user.ts b/web/src/types/user.ts
index fcb37c168..c4e6fff64 100644
--- a/web/src/types/user.ts
+++ b/web/src/types/user.ts
@@ -1,3 +1,4 @@
 export type User = {
   username: string;
+  role: string;
 };
diff --git a/web/src/types/ws.ts b/web/src/types/ws.ts
index 397b213f6..3badd961d 100644
--- a/web/src/types/ws.ts
+++ b/web/src/types/ws.ts
@@ -52,6 +52,18 @@ export type ObjectType = {
 };
 
 export interface FrigateCameraState {
+  config: {
+    enabled: boolean;
+    detect: boolean;
+    snapshots: boolean;
+    record: boolean;
+    audio: boolean;
+    notifications: boolean;
+    notifications_suspended: number;
+    autotracking: boolean;
+    alerts: boolean;
+    detections: boolean;
+  };
   motion: boolean;
   objects: ObjectType[];
 }
diff --git a/web/src/utils/browserUtil.ts b/web/src/utils/browserUtil.ts
index b6a82fb54..f471af9fc 100644
--- a/web/src/utils/browserUtil.ts
+++ b/web/src/utils/browserUtil.ts
@@ -1,4 +1,5 @@
 import copy from "copy-to-clipboard";
+import { t } from "i18next";
 import { toast } from "sonner";
 
 export function shareOrCopy(url: string, title?: string) {
@@ -9,7 +10,7 @@ export function shareOrCopy(url: string, title?: string) {
     });
   } else {
     copy(url);
-    toast.success("Copied URL to clipboard.", {
+    toast.success(t("toast.copyUrlToClipboard", { ns: "common" }), {
       position: "top-center",
     });
   }
diff --git a/web/src/utils/canvasUtil.ts b/web/src/utils/canvasUtil.ts
index 12bd6b167..a9d3d8b3b 100644
--- a/web/src/utils/canvasUtil.ts
+++ b/web/src/utils/canvasUtil.ts
@@ -1,4 +1,5 @@
 import { Vector2d } from "konva/lib/types";
+import { Polygon } from "@/types/canvas";
 
 export const getAveragePoint = (points: number[]): Vector2d => {
   let totalX = 0;
@@ -100,3 +101,72 @@ export const masksAreIdentical = (arr1: string[], arr2: string[]): boolean => {
   }
   return true;
 };
+
+export function snapPointToLines(
+  point: number[],
+  polygons: Polygon[],
+  threshold: number,
+): number[] | null {
+  for (const polygon of polygons) {
+    if (!polygon.isFinished) continue;
+
+    for (let i = 0; i < polygon.points.length; i++) {
+      const start = polygon.points[i];
+      const end = polygon.points[(i + 1) % polygon.points.length];
+
+      const snappedPoint = snapPointToLine(point, start, end, threshold);
+      if (snappedPoint) {
+        return snappedPoint;
+      }
+    }
+  }
+
+  return null;
+}
+
+function snapPointToLine(
+  point: number[],
+  lineStart: number[],
+  lineEnd: number[],
+  threshold: number,
+): number[] | null {
+  const [x, y] = point;
+  const [x1, y1] = lineStart;
+  const [x2, y2] = lineEnd;
+
+  const A = x - x1;
+  const B = y - y1;
+  const C = x2 - x1;
+  const D = y2 - y1;
+
+  const dot = A * C + B * D;
+  const lenSq = C * C + D * D;
+  let param = -1;
+
+  if (lenSq !== 0) {
+    param = dot / lenSq;
+  }
+
+  let xx, yy;
+
+  if (param < 0) {
+    xx = x1;
+    yy = y1;
+  } else if (param > 1) {
+    xx = x2;
+    yy = y2;
+  } else {
+    xx = x1 + param * C;
+    yy = y1 + param * D;
+  }
+
+  const dx = x - xx;
+  const dy = y - yy;
+  const distance = Math.sqrt(dx * dx + dy * dy);
+
+  if (distance <= threshold) {
+    return [xx, yy];
+  }
+
+  return null;
+}
diff --git a/web/src/utils/dateUtil.ts b/web/src/utils/dateUtil.ts
index 8509155e1..8b1ef2ff4 100644
--- a/web/src/utils/dateUtil.ts
+++ b/web/src/utils/dateUtil.ts
@@ -1,5 +1,6 @@
-import strftime from "strftime";
 import { fromUnixTime, intervalToDuration, formatDuration } from "date-fns";
+import { Locale } from "date-fns/locale";
+import { formatInTimeZone } from "date-fns-tz";
 export const longToDate = (long: number): Date => new Date(long * 1000);
 export const epochToLong = (date: number): number => date / 1000;
 export const dateToLong = (date: Date): number => epochToLong(date.getTime());
@@ -27,9 +28,6 @@ export const getNowYesterdayInLong = (): number => {
  * The `timezone` option allows you to specify a specific timezone for the output, otherwise the user's browser timezone will be used.
  * The `use12hour` option allows you to display time in a 12-hour format if true, and 24-hour format if false.
  * The `dateStyle` and `timeStyle` options allow you to specify pre-defined formats for displaying the date and time.
- * The `strftime_fmt` option allows you to specify a custom format using the strftime syntax.
- *
- * If both `strftime_fmt` and `dateStyle`/`timeStyle` are provided, `strftime_fmt` takes precedence.
  *
  * @param unixTimestamp The Unix timestamp to format
  * @param config An object containing the configuration options for date/time display
@@ -108,11 +106,19 @@ const getResolvedTimeZone = () => {
   }
 };
 
+type DateTimeStyle = {
+  timezone?: string;
+  time_format?: "browser" | "12hour" | "24hour";
+  date_style?: "full" | "long" | "medium" | "short";
+  time_style?: "full" | "long" | "medium" | "short";
+  date_format?: string;
+  locale?: string | Locale;
+};
 /**
  * Formats a Unix timestamp into a human-readable date/time string.
  *
  * The format of the output string is determined by a configuration object passed as an argument, which
- * may specify a time zone, 12- or 24-hour time, and various stylistic options for the date and time.
+ * may specify a time zone, 12- or 24-hour time, various stylistic options for the date and time, and a locale.
  * If these options are not specified, the function will use system defaults or sensible fallbacks.
  *
  * The function is robust to environments where the Intl API is not fully supported, and includes a
@@ -126,53 +132,71 @@ const getResolvedTimeZone = () => {
  */
 export const formatUnixTimestampToDateTime = (
   unixTimestamp: number,
-  config: {
-    timezone?: string;
-    time_format?: "browser" | "12hour" | "24hour";
-    date_style?: "full" | "long" | "medium" | "short";
-    time_style?: "full" | "long" | "medium" | "short";
-    strftime_fmt?: string;
-  },
+  config: DateTimeStyle = {},
 ): string => {
-  const { timezone, time_format, date_style, time_style, strftime_fmt } =
+  const { timezone, time_format, date_style, time_style, date_format, locale } =
     config;
-  const locale = window.navigator?.language || "en-US";
+
+  // Determine the locale to use
+  let localeCode: string;
+  let dateFnsLocale: Locale | undefined;
+  if (typeof locale === "string") {
+    localeCode = locale;
+  } else if (locale && "code" in locale) {
+    localeCode = (locale as Locale).code || "en-US";
+    dateFnsLocale = locale as Locale;
+  } else {
+    localeCode = window.navigator?.language || "en-US";
+  }
+
   if (isNaN(unixTimestamp)) {
     return "Invalid time";
   }
 
   try {
     const date = new Date(unixTimestamp * 1000);
-    const resolvedTimeZone = getResolvedTimeZone();
 
-    // use strftime_fmt if defined in config
-    if (strftime_fmt) {
-      const offset = getUTCOffset(date, timezone || resolvedTimeZone);
-      const strftime_locale = strftime.timezone(offset);
-      return strftime_locale(strftime_fmt, date);
+    if (date_format) {
+      const resolvedTimeZone = timezone || getResolvedTimeZone();
+      let formatted = formatInTimeZone(date, resolvedTimeZone, date_format, {
+        locale: dateFnsLocale,
+      });
+      // Uppercase AM/PM for 12-hour formats
+      if (date_format.includes("a") || date_format.includes("aaa")) {
+        formatted = formatted.replace(/am|pm/gi, (match) =>
+          match.toUpperCase(),
+        );
+      }
+      return formatted;
     }
 
     // DateTime format options
     const options: Intl.DateTimeFormatOptions = {
       dateStyle: date_style,
       timeStyle: time_style,
-      hour12: time_format !== "browser" ? time_format == "12hour" : undefined,
+      hour12: time_format !== "browser" ? time_format === "12hour" : undefined,
     };
 
     // Only set timeZone option when resolvedTimeZone does not match UTC±HH:MM format, or when timezone is set in config
+    const resolvedTimeZone = getResolvedTimeZone();
     const isUTCOffsetFormat = /^UTC[+-]\d{2}:\d{2}$/.test(resolvedTimeZone);
     if (timezone || !isUTCOffsetFormat) {
       options.timeZone = timezone || resolvedTimeZone;
     }
 
-    const formatter = new Intl.DateTimeFormat(locale, options);
-    const formattedDateTime = formatter.format(date);
+    const formatter = new Intl.DateTimeFormat(localeCode, options);
+    let formattedDateTime = formatter.format(date);
 
-    // Regex to check for existence of time. This is needed because dateStyle/timeStyle is not always supported.
+    if (options.hour12) {
+      formattedDateTime = formattedDateTime.replace(/am|pm/gi, (match) =>
+        match.toUpperCase(),
+      );
+    }
+
+    // Regex to check for existence of time
     const containsTime = /\d{1,2}:\d{1,2}/.test(formattedDateTime);
 
-    // fallback if the browser does not support dateStyle/timeStyle in Intl.DateTimeFormat
-    // This works even tough the timezone is undefined, it will use the runtime's default time zone
+    // fallback if the browser does not support dateStyle/timeStyle
     if (!containsTime) {
       const dateOptions = {
         ...formatMap[date_style ?? ""]?.date,
@@ -185,10 +209,17 @@ export const formatUnixTimestampToDateTime = (
         hour12: options.hour12,
       };
 
-      return `${date.toLocaleDateString(
-        locale,
+      let fallbackFormatted = `${date.toLocaleDateString(
+        localeCode,
         dateOptions,
-      )} ${date.toLocaleTimeString(locale, timeOptions)}`;
+      )} ${date.toLocaleTimeString(localeCode, timeOptions)}`;
+      // Uppercase AM/PM in fallback
+      if (options.hour12) {
+        fallbackFormatted = fallbackFormatted.replace(/am|pm/gi, (match) =>
+          match.toUpperCase(),
+        );
+      }
+      return fallbackFormatted;
     }
 
     return formattedDateTime;
diff --git a/web/src/utils/i18n.ts b/web/src/utils/i18n.ts
new file mode 100644
index 000000000..8ee059333
--- /dev/null
+++ b/web/src/utils/i18n.ts
@@ -0,0 +1,99 @@
+import i18n, { t } from "i18next";
+import { initReactI18next } from "react-i18next";
+import HttpBackend from "i18next-http-backend";
+
+export const getTranslatedLabel = (label: string) => {
+  if (!label) return "";
+
+  return t(`${label.replace(/\s+/g, "_").toLowerCase()}`, { ns: "objects" });
+};
+
+i18n
+  .use(initReactI18next)
+  .use(HttpBackend)
+  .init({
+    fallbackLng: "en", // use en if detected lng is not available
+
+    backend: {
+      loadPath: "locales/{{lng}}/{{ns}}.json",
+    },
+
+    ns: [
+      "common",
+      "objects",
+      "audio",
+      "components/camera",
+      "components/dialog",
+      "components/filter",
+      "components/icons",
+      "components/player",
+      "views/events",
+      "views/explore",
+      "views/live",
+      "views/settings",
+      "views/system",
+      "views/exports",
+      "views/explore",
+    ],
+    defaultNS: "common",
+
+    react: {
+      transSupportBasicHtmlNodes: true,
+      transKeepBasicHtmlNodesFor: [
+        "br",
+        "strong",
+        "i",
+        "em",
+        "li",
+        "p",
+        "code",
+        "span",
+        "p",
+        "ul",
+        "li",
+        "ol",
+      ],
+    },
+    interpolation: {
+      escapeValue: false, // react already safes from xss
+    },
+    keySeparator: ".",
+    parseMissingKeyHandler: (key: string) => {
+      const parts = key.split(".");
+
+      // Handle special cases for objects and audio
+      if (parts[0] === "object" || parts[0] === "audio") {
+        return (
+          parts[1]
+            ?.split("_")
+            .map(
+              (word) =>
+                word.charAt(0).toUpperCase() + word.slice(1).toLowerCase(),
+            )
+            .join(" ") || key
+        );
+      }
+
+      // For nested keys, try to make them more readable
+      if (parts.length > 1) {
+        const lastPart = parts[parts.length - 1];
+        return lastPart
+          .split("_")
+          .map(
+            (word) =>
+              word.charAt(0).toUpperCase() + word.slice(1).toLowerCase(),
+          )
+          .join(" ");
+      }
+
+      // For single keys, just smart-capitalize and format
+      return key
+        .split("_")
+        .map(
+          (word) => word.charAt(0).toUpperCase() + word.slice(1).toLowerCase(),
+        )
+        .join(" ");
+    },
+  });
+
+export default i18n;
diff --git a/web/src/utils/iconUtil.tsx b/web/src/utils/iconUtil.tsx
index e4356c290..11be7cb9e 100644
--- a/web/src/utils/iconUtil.tsx
+++ b/web/src/utils/iconUtil.tsx
@@ -26,13 +26,15 @@ import {
   GiDeer,
   GiFox,
   GiGoat,
+  GiKangaroo,
   GiPolarBear,
   GiPostStamp,
   GiRabbit,
   GiRaccoonHead,
   GiSailboat,
+  GiSquirrel,
 } from "react-icons/gi";
-import { LuBox, LuLassoSelect } from "react-icons/lu";
+import { LuBox, LuLassoSelect, LuScanBarcode } from "react-icons/lu";
 import * as LuIcons from "react-icons/lu";
 import { MdRecordVoiceOver } from "react-icons/md";
 import { PiBirdFill } from "react-icons/pi";
@@ -57,6 +59,8 @@ export function isValidIconName(value: string): value is IconName {
 export function getIconForLabel(label: string, className?: string) {
   if (label.endsWith("-verified")) {
     return getVerifiedIcon(label, className);
+  } else if (label.endsWith("-plate")) {
+    return getRecognizedPlateIcon(label, className);
   }
 
   switch (label) {
@@ -70,6 +74,7 @@ export function getIconForLabel(label: string, className?: string) {
     case "boat":
       return <GiSailboat key={label} className={className} />;
     case "bus":
+    case "school_bus":
       return <FaBus key={label} className={className} />;
     case "car":
     case "vehicle":
@@ -88,6 +93,10 @@ export function getIconForLabel(label: string, className?: string) {
       return <GiGoat key={label} className={className} />;
     case "horse":
       return <FaHorse key={label} className={className} />;
+    case "kangaroo":
+      return <GiKangaroo key={label} className={className} />;
+    case "license_plate":
+      return <LuScanBarcode key={label} className={className} />;
     case "motorcycle":
       return <FaMotorcycle key={label} className={className} />;
     case "mouse":
@@ -104,6 +113,8 @@ export function getIconForLabel(label: string, className?: string) {
       return <FaHockeyPuck key={label} className={className} />;
     case "sports_ball":
       return <FaFootballBall key={label} className={className} />;
+    case "skunk":
+      return <GiSquirrel key={label} className={className} />;
     case "squirrel":
       return <LuIcons.LuSquirrel key={label} className={className} />;
     case "umbrella":
@@ -123,12 +134,14 @@ export function getIconForLabel(label: string, className?: string) {
     case "amazon":
       return <FaAmazon key={label} className={className} />;
     case "an_post":
+    case "canada_post":
     case "dpd":
     case "gls":
     case "nzpost":
     case "postnl":
     case "postnord":
     case "purolator":
+    case "royal_mail":
       return <GiPostStamp key={label} className={className} />;
     case "dhl":
       return <FaDhl key={label} className={className} />;
@@ -153,3 +166,14 @@ function getVerifiedIcon(label: string, className?: string) {
     </div>
   );
 }
+
+function getRecognizedPlateIcon(label: string, className?: string) {
+  const simpleLabel = label.substring(0, label.lastIndexOf("-"));
+
+  return (
+    <div key={label} className="flex items-center">
+      {getIconForLabel(simpleLabel, className)}
+      <LuScanBarcode className="absolute size-2.5 translate-x-[50%] translate-y-3/4" />
+    </div>
+  );
+}
diff --git a/web/src/utils/isIFrame.ts b/web/src/utils/isIFrame.ts
new file mode 100644
index 000000000..1f78a40aa
--- /dev/null
+++ b/web/src/utils/isIFrame.ts
@@ -0,0 +1,8 @@
+export const isInIframe = (() => {
+  try {
+    return window.self !== window.top;
+  } catch (e) {
+    // If we get a security error, we're definitely in an iframe
+    return true;
+  }
+})();
diff --git a/web/src/utils/lifecycleUtil.ts b/web/src/utils/lifecycleUtil.ts
new file mode 100644
index 000000000..0a716d9fc
--- /dev/null
+++ b/web/src/utils/lifecycleUtil.ts
@@ -0,0 +1,75 @@
+import { ObjectLifecycleSequence } from "@/types/timeline";
+import { t } from "i18next";
+import { getTranslatedLabel } from "./i18n";
+
+export function getLifecycleItemDescription(
+  lifecycleItem: ObjectLifecycleSequence,
+) {
+  const rawLabel = Array.isArray(lifecycleItem.data.sub_label)
+    ? lifecycleItem.data.sub_label[0]
+    : lifecycleItem.data.sub_label || lifecycleItem.data.label;
+
+  const label = getTranslatedLabel(rawLabel);
+
+  switch (lifecycleItem.class_type) {
+    case "visible":
+      return t("objectLifecycle.lifecycleItemDesc.visible", {
+        ns: "views/explore",
+        label,
+      });
+    case "entered_zone":
+      return t("objectLifecycle.lifecycleItemDesc.entered_zone", {
+        ns: "views/explore",
+        label,
+        zones: lifecycleItem.data.zones.join(" and ").replaceAll("_", " "),
+      });
+    case "active":
+      return t("objectLifecycle.lifecycleItemDesc.active", {
+        ns: "views/explore",
+        label,
+      });
+    case "stationary":
+      return t("objectLifecycle.lifecycleItemDesc.stationary", {
+        ns: "views/explore",
+        label,
+      });
+    case "attribute": {
+      let title = "";
+      if (
+        lifecycleItem.data.attribute == "face" ||
+        lifecycleItem.data.attribute == "license_plate"
+      ) {
+        title = t(
+          "objectLifecycle.lifecycleItemDesc.attribute.faceOrLicense_plate",
+          {
+            ns: "views/explore",
+            label,
+            attribute: lifecycleItem.data.attribute.replaceAll("_", " "),
+          },
+        );
+      } else {
+        title = t("objectLifecycle.lifecycleItemDesc.attribute.other", {
+          ns: "views/explore",
+          label: lifecycleItem.data.label,
+          attribute: lifecycleItem.data.attribute.replaceAll("_", " "),
+        });
+      }
+      return title;
+    }
+    case "gone":
+      return t("objectLifecycle.lifecycleItemDesc.gone", {
+        ns: "views/explore",
+        label,
+      });
+    case "heard":
+      return t("objectLifecycle.lifecycleItemDesc.heard", {
+        ns: "views/explore",
+        label,
+      });
+    case "external":
+      return t("objectLifecycle.lifecycleItemDesc.external", {
+        ns: "views/explore",
+        label,
+      });
+  }
+}
diff --git a/web/src/utils/logUtil.ts b/web/src/utils/logUtil.ts
index 569d417be..ac6eaaec2 100644
--- a/web/src/utils/logUtil.ts
+++ b/web/src/utils/logUtil.ts
@@ -18,13 +18,29 @@ export function parseLogLines(logService: LogType, logs: string[]) {
 
         if (!match) {
           const infoIndex = line.indexOf("[INFO]");
+          const loggingIndex = line.indexOf("[LOGGING]");
+
+          if (loggingIndex != -1) {
+            return {
+              dateStamp: line.substring(0, 19),
+              severity: "info",
+              section: "logging",
+              content: line
+                .substring(loggingIndex + 9)
+                .trim()
+                .replace(/\u200b/g, "\n"),
+            };
+          }
 
           if (infoIndex != -1) {
             return {
               dateStamp: line.substring(0, 19),
               severity: "info",
               section: "startup",
-              content: line.substring(infoIndex + 6).trim(),
+              content: line
+                .substring(infoIndex + 6)
+                .trim()
+                .replace(/\u200b/g, "\n"),
             };
           }
 
@@ -32,7 +48,10 @@ export function parseLogLines(logService: LogType, logs: string[]) {
             dateStamp: line.substring(0, 19),
             severity: "unknown",
             section: "unknown",
-            content: line.substring(30).trim(),
+            content: line
+              .substring(30)
+              .trim()
+              .replace(/\u200b/g, "\n"),
           };
         }
 
@@ -54,7 +73,8 @@ export function parseLogLines(logService: LogType, logs: string[]) {
           section: sectionMatch.toString(),
           content: line
             .substring(line.indexOf(":", match.index + match[0].length) + 2)
-            .trim(),
+            .trim()
+            .replace(/\u200b/g, "\n"),
         };
       })
       .filter((value) => value != null) as LogLine[];
@@ -86,6 +106,15 @@ export function parseLogLines(logService: LogType, logs: string[]) {
           contentStart = line.indexOf(section) + section.length + 2;
         }
 
+        if (line.includes("[LOGGING]")) {
+          return {
+            dateStamp: line.substring(0, 19),
+            severity: "info",
+            section: "logging",
+            content: line.substring(line.indexOf("[LOGGING]") + 9).trim(),
+          };
+        }
+
         let severityCat: LogSeverity;
         switch (severity?.at(0)?.toString().trim()) {
           case "INF":
@@ -116,18 +145,68 @@ export function parseLogLines(logService: LogType, logs: string[]) {
   } else if (logService == "nginx") {
     return logs
       .map((line) => {
-        if (line.length == 0) {
-          return null;
-        }
+        if (line.trim().length === 0) return null;
 
-        return {
-          dateStamp: line.substring(0, 19),
-          severity: "info",
-          section: httpMethods.exec(line)?.at(0)?.toString() ?? "META",
-          content: line.substring(line.indexOf(" ", 20)).trim(),
-        };
+        // Match full timestamp including nanoseconds
+        const timestampRegex = /^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d+/;
+        const timestampMatch = timestampRegex.exec(line);
+        const fullTimestamp = timestampMatch ? timestampMatch[0] : "";
+        // Remove nanoseconds from the final output
+        const dateStamp = fullTimestamp.split(".")[0];
+
+        if (line.includes("[LOGGING]")) {
+          return {
+            dateStamp,
+            severity: "info",
+            section: "logging",
+            content: line.slice(line.indexOf("[LOGGING]") + 9).trim(),
+          };
+        } else if (line.includes("[INFO]")) {
+          return {
+            dateStamp,
+            severity: "info",
+            section: "startup",
+            content: line.slice(fullTimestamp.length).trim(),
+          };
+        } else if (line.includes("[error]")) {
+          // Error log
+          const errorMatch = line.match(/(\[error\].*?,.*request: "[^"]*")/);
+          const content = errorMatch ? errorMatch[1] : line;
+          return {
+            dateStamp,
+            severity: "error",
+            section: "error",
+            content,
+          };
+        } else if (
+          line.includes("GET") ||
+          line.includes("POST") ||
+          line.includes("HTTP")
+        ) {
+          // HTTP request log
+          const httpMethodMatch = httpMethods.exec(line);
+          const section = httpMethodMatch ? httpMethodMatch[0] : "META";
+          const contentStart = line.indexOf('"', fullTimestamp.length);
+          const content =
+            contentStart !== -1 ? line.slice(contentStart).trim() : line;
+
+          return {
+            dateStamp,
+            severity: "info",
+            section,
+            content,
+          };
+        } else {
+          // Fallback: unknown format
+          return {
+            dateStamp,
+            severity: "unknown",
+            section: "unknown",
+            content: line.slice(fullTimestamp.length).trim(),
+          };
+        }
       })
-      .filter((value) => value != null) as LogLine[];
+      .filter((value) => value !== null) as LogLine[];
   }
 
   return [];
diff --git a/web/src/utils/timelineUtil.tsx b/web/src/utils/timelineUtil.tsx
index eed6dbbc7..502121471 100644
--- a/web/src/utils/timelineUtil.tsx
+++ b/web/src/utils/timelineUtil.tsx
@@ -46,7 +46,7 @@ export function getChunkedTimeRange(
   endOfThisHour.setHours(endOfThisHour.getHours() + 1, 0, 0, 0);
   const data: TimeRange[] = [];
   const startDay = new Date(startTimestamp * 1000);
-  startDay.setMinutes(0, 0, 0);
+  startDay.setUTCMinutes(0, 0, 0);
   let start = startDay.getTime() / 1000;
   let end = 0;
 
diff --git a/web/src/utils/videoUtil.ts b/web/src/utils/videoUtil.ts
new file mode 100644
index 000000000..9f22e19d7
--- /dev/null
+++ b/web/src/utils/videoUtil.ts
@@ -0,0 +1,26 @@
+import { Recording } from "@/types/record";
+
+/** the HLS endpoint returns the vod segments with the first
+ * segment of the hour trimmed, meaning it will start at
+ * the beginning of the hour, cutting off any difference
+ * that the segment has.
+ */
+export function calculateInpointOffset(
+  timeRangeStart: number | undefined,
+  firstRecordingSegment: Recording | undefined,
+): number {
+  if (!timeRangeStart || !firstRecordingSegment) {
+    return 0;
+  }
+
+  // if the first recording segment does not cross over
+  // the beginning of the time range then there is no offset
+  if (
+    firstRecordingSegment.start_time < timeRangeStart &&
+    firstRecordingSegment.end_time > timeRangeStart
+  ) {
+    return timeRangeStart - firstRecordingSegment.start_time;
+  }
+
+  return 0;
+}
diff --git a/web/src/views/events/EventView.tsx b/web/src/views/events/EventView.tsx
index d7997bf62..4ce7fcad4 100644
--- a/web/src/views/events/EventView.tsx
+++ b/web/src/views/events/EventView.tsx
@@ -12,6 +12,7 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { Preview } from "@/types/preview";
 import {
   MotionData,
+  RecordingsSummary,
   REVIEW_PADDING,
   ReviewFilter,
   ReviewSegment,
@@ -54,10 +55,14 @@ import { GiSoundWaves } from "react-icons/gi";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import ReviewDetailDialog from "@/components/overlay/detail/ReviewDetailDialog";
 
+import { useTimelineZoom } from "@/hooks/use-timeline-zoom";
+import { useTranslation } from "react-i18next";
+
 type EventViewProps = {
   reviewItems?: SegmentedReviewData;
   currentReviewItems: ReviewSegment[] | null;
   reviewSummary?: ReviewSummary;
+  recordingsSummary?: RecordingsSummary;
   relevantPreviews?: Preview[];
   timeRange: TimeRange;
   filter?: ReviewFilter;
@@ -76,6 +81,7 @@ export default function EventView({
   reviewItems,
   currentReviewItems,
   reviewSummary,
+  recordingsSummary,
   relevantPreviews,
   timeRange,
   filter,
@@ -90,6 +96,7 @@ export default function EventView({
   pullLatestData,
   updateFilter,
 }: EventViewProps) {
+  const { t } = useTranslation(["views/events"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const contentRef = useRef<HTMLDivElement | null>(null);
 
@@ -194,25 +201,30 @@ export default function EventView({
         .then((response) => {
           if (response.status == 200) {
             toast.success(
-              "Successfully started export. View the file in the /exports folder.",
-              { position: "top-center" },
+              t("export.toast.success", { ns: "components/dialog" }),
+              {
+                position: "top-center",
+              },
             );
           }
         })
         .catch((error) => {
-          if (error.response?.data?.message) {
-            toast.error(
-              `Failed to start export: ${error.response.data.message}`,
-              { position: "top-center" },
-            );
-          } else {
-            toast.error(`Failed to start export: ${error.message}`, {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("export.toast.error.failed", {
+              ns: "components/dialog",
+              message: errorMessage,
+            }),
+            {
               position: "top-center",
-            });
-          }
+            },
+          );
         });
     },
-    [reviewItems],
+    [reviewItems, t],
   );
 
   const [motionOnly, setMotionOnly] = useState(false);
@@ -265,70 +277,62 @@ export default function EventView({
           <ToggleGroupItem
             className={cn(severityToggle != "alert" && "text-muted-foreground")}
             value="alert"
-            aria-label="Select alerts"
+            aria-label={t("alerts")}
           >
-            {isMobileOnly ? (
-              <div
-                className={cn(
-                  "flex size-6 items-center justify-center rounded text-severity_alert",
-                  severityToggle == "alert" ? "font-semibold" : "font-medium",
-                )}
-              >
+            <div
+              className={cn(
+                "flex size-6 items-center justify-center rounded text-severity_alert sm:hidden",
+                severityToggle == "alert" ? "font-semibold" : "font-medium",
+              )}
+            >
+              {reviewCounts.alert > -1 ? (
+                reviewCounts.alert
+              ) : (
+                <ActivityIndicator className="size-4" />
+              )}
+            </div>
+            <div className="hidden items-center sm:flex">
+              <MdCircle className="size-2 text-severity_alert md:mr-[10px]" />
+              <div className="hidden md:flex md:flex-row md:items-center">
+                {t("alerts")}
                 {reviewCounts.alert > -1 ? (
-                  reviewCounts.alert
+                  ` ∙ ${reviewCounts.alert}`
                 ) : (
-                  <ActivityIndicator className="size-4" />
+                  <ActivityIndicator className="ml-2 size-4" />
                 )}
               </div>
-            ) : (
-              <>
-                <MdCircle className="size-2 text-severity_alert md:mr-[10px]" />
-                <div className="hidden md:flex md:flex-row md:items-center">
-                  Alerts
-                  {reviewCounts.alert > -1 ? (
-                    ` ∙ ${reviewCounts.alert}`
-                  ) : (
-                    <ActivityIndicator className="ml-2 size-4" />
-                  )}
-                </div>
-              </>
-            )}
+            </div>
           </ToggleGroupItem>
           <ToggleGroupItem
             className={cn(
               severityToggle != "detection" && "text-muted-foreground",
             )}
             value="detection"
-            aria-label="Select detections"
+            aria-label={t("detections")}
           >
-            {isMobileOnly ? (
-              <div
-                className={cn(
-                  "flex size-6 items-center justify-center rounded text-severity_detection",
-                  severityToggle == "detection"
-                    ? "font-semibold"
-                    : "font-medium",
-                )}
-              >
+            <div
+              className={cn(
+                "flex size-6 items-center justify-center rounded text-severity_detection sm:hidden",
+                severityToggle == "detection" ? "font-semibold" : "font-medium",
+              )}
+            >
+              {reviewCounts.detection > -1 ? (
+                reviewCounts.detection
+              ) : (
+                <ActivityIndicator className="size-4" />
+              )}
+            </div>
+            <div className="hidden items-center sm:flex">
+              <MdCircle className="size-2 text-severity_detection md:mr-[10px]" />
+              <div className="hidden md:flex md:flex-row md:items-center">
+                {t("detections")}
                 {reviewCounts.detection > -1 ? (
-                  reviewCounts.detection
+                  ` ∙ ${reviewCounts.detection}`
                 ) : (
-                  <ActivityIndicator className="size-4" />
+                  <ActivityIndicator className="ml-2 size-4" />
                 )}
               </div>
-            ) : (
-              <>
-                <MdCircle className="size-2 text-severity_detection md:mr-[10px]" />
-                <div className="hidden md:flex md:flex-row md:items-center">
-                  Detections
-                  {reviewCounts.detection > -1 ? (
-                    ` ∙ ${reviewCounts.detection}`
-                  ) : (
-                    <ActivityIndicator className="ml-2 size-4" />
-                  )}
-                </div>
-              </>
-            )}
+            </div>
           </ToggleGroupItem>
           <ToggleGroupItem
             className={cn(
@@ -336,16 +340,13 @@ export default function EventView({
               severityToggle != "significant_motion" && "text-muted-foreground",
             )}
             value="significant_motion"
-            aria-label="Select motion"
+            aria-label={t("motion.label")}
           >
-            {isMobileOnly ? (
-              <GiSoundWaves className="size-6 rotate-90 text-severity_significant_motion" />
-            ) : (
-              <>
-                <MdCircle className="size-2 text-severity_significant_motion md:mr-[10px]" />
-                <div className="hidden md:block">Motion</div>
-              </>
-            )}
+            <GiSoundWaves className="size-6 rotate-90 text-severity_significant_motion sm:hidden" />
+            <div className="hidden items-center sm:flex">
+              <MdCircle className="size-2 text-severity_significant_motion md:mr-[10px]" />
+              <div className="hidden md:block">{t("motion.label")}</div>
+            </div>
           </ToggleGroupItem>
         </ToggleGroup>
 
@@ -358,6 +359,7 @@ export default function EventView({
             }
             currentSeverity={severityToggle}
             reviewSummary={reviewSummary}
+            recordingsSummary={recordingsSummary}
             filter={filter}
             motionOnly={motionOnly}
             filterList={reviewFilterList}
@@ -459,9 +461,9 @@ function DetectionReview({
   setSelectedReviews,
   pullLatestData,
 }: DetectionReviewProps) {
-  const reviewTimelineRef = useRef<HTMLDivElement>(null);
+  const { t } = useTranslation(["views/events"]);
 
-  const segmentDuration = 60;
+  const reviewTimelineRef = useRef<HTMLDivElement>(null);
 
   // detail
 
@@ -492,9 +494,38 @@ function DetectionReview({
     [timeRange],
   );
 
+  const [zoomSettings, setZoomSettings] = useState({
+    segmentDuration: 60,
+    timestampSpread: 15,
+  });
+
+  const possibleZoomLevels = useMemo(
+    () => [
+      { segmentDuration: 60, timestampSpread: 15 },
+      { segmentDuration: 30, timestampSpread: 5 },
+      { segmentDuration: 10, timestampSpread: 1 },
+    ],
+    [],
+  );
+
+  const handleZoomChange = useCallback(
+    (newZoomLevel: number) => {
+      setZoomSettings(possibleZoomLevels[newZoomLevel]);
+    },
+    [possibleZoomLevels],
+  );
+
+  const { isZooming, zoomDirection } = useTimelineZoom({
+    zoomSettings,
+    zoomLevels: possibleZoomLevels,
+    onZoomChange: handleZoomChange,
+    timelineRef: reviewTimelineRef,
+    timelineDuration,
+  });
+
   const { alignStartDateToTimeline, getVisibleTimelineDuration } =
     useTimelineUtils({
-      segmentDuration,
+      segmentDuration: zoomSettings.segmentDuration,
       timelineDuration,
       timelineRef: reviewTimelineRef,
     });
@@ -589,6 +620,16 @@ function DetectionReview({
 
   // existing review item
 
+  useEffect(() => {
+    if (loading || currentItems == null || itemsToReview == undefined) {
+      return;
+    }
+
+    if (currentItems.length == 0 && itemsToReview > 0) {
+      pullLatestData();
+    }
+  }, [loading, currentItems, itemsToReview, pullLatestData]);
+
   useEffect(() => {
     if (!startTime || !currentItems || currentItems.length == 0) {
       return;
@@ -673,7 +714,7 @@ function DetectionReview({
         {!loading && currentItems?.length === 0 && (
           <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
             <LuFolderCheck className="size-16" />
-            There are no {severity.replace(/_/g, " ")}s to review
+            {t("empty." + severity.replace(/_/g, " "))}
           </div>
         )}
 
@@ -692,7 +733,7 @@ function DetectionReview({
                     data-start={value.start_time}
                     data-segment-start={
                       alignStartDateToTimeline(value.start_time) -
-                      segmentDuration
+                      zoomSettings.segmentDuration
                     }
                     className="review-item relative rounded-lg"
                   >
@@ -718,7 +759,12 @@ function DetectionReview({
                       />
                     </div>
                     <div
-                      className={`review-item-ring pointer-events-none absolute inset-0 z-10 size-full rounded-lg outline outline-[3px] -outline-offset-[2.8px] ${selected ? `outline-severity_${value.severity} shadow-severity_${value.severity}` : "outline-transparent duration-500"}`}
+                      className={cn(
+                        "review-item-ring pointer-events-none absolute inset-0 z-10 size-full rounded-lg outline outline-[3px] -outline-offset-[2.8px]",
+                        selected
+                          ? `outline-severity_${value.severity} shadow-severity_${value.severity}`
+                          : "outline-transparent duration-500",
+                      )}
                     />
                   </div>
                 );
@@ -735,27 +781,27 @@ function DetectionReview({
               <div className="col-span-full flex items-center justify-center">
                 <Button
                   className="text-white"
-                  aria-label="Mark these items as reviewed"
+                  aria-label={t("markTheseItemsAsReviewed")}
                   variant="select"
                   onClick={() => {
                     setSelectedReviews([]);
                     markAllItemsAsReviewed(currentItems ?? []);
                   }}
                 >
-                  Mark these items as reviewed
+                  {t("markTheseItemsAsReviewed")}
                 </Button>
               </div>
             )}
         </div>
       </div>
       <div className="flex w-[65px] flex-row md:w-[110px]">
-        <div className="no-scrollbar w-[55px] overflow-y-auto md:w-[100px]">
+        <div className="no-scrollbar w-[55px] md:w-[100px]">
           {loading ? (
             <Skeleton className="size-full" />
           ) : (
             <EventReviewTimeline
-              segmentDuration={segmentDuration}
-              timestampSpread={15}
+              segmentDuration={zoomSettings.segmentDuration}
+              timestampSpread={zoomSettings.timestampSpread}
               timelineStart={timeRange.before}
               timelineEnd={timeRange.after}
               showMinimap={showMinimap && !previewTime}
@@ -769,6 +815,8 @@ function DetectionReview({
               contentRef={contentRef}
               timelineRef={reviewTimelineRef}
               dense={isMobile}
+              isZooming={isZooming}
+              zoomDirection={zoomDirection}
             />
           )}
         </div>
@@ -780,7 +828,7 @@ function DetectionReview({
               reviewTimelineRef={reviewTimelineRef}
               timelineStart={timeRange.before}
               timelineEnd={timeRange.after}
-              segmentDuration={segmentDuration}
+              segmentDuration={zoomSettings.segmentDuration}
               events={reviewItems?.all ?? []}
               severityType={severity}
             />
@@ -816,6 +864,7 @@ function MotionReview({
   motionOnly = false,
   onOpenRecording,
 }: MotionReviewProps) {
+  const { t } = useTranslation(["views/events"]);
   const segmentDuration = 30;
   const { data: config } = useSWR<FrigateConfig>("config");
 
@@ -1005,7 +1054,7 @@ function MotionReview({
     return (
       <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
         <LuFolderX className="size-16" />
-        No motion data found
+        {t("empty.motion")}
       </div>
     );
   }
@@ -1095,7 +1144,6 @@ function MotionReview({
             setHandlebarTime={setCurrentTime}
             events={reviewItems?.all ?? []}
             motion_events={motionData ?? []}
-            severityType="significant_motion"
             contentRef={contentRef}
             onHandlebarDraggingChange={(scrubbing) => {
               if (playing && scrubbing) {
@@ -1105,6 +1153,8 @@ function MotionReview({
               setScrubbing(scrubbing);
             }}
             dense={isMobileOnly}
+            isZooming={false}
+            zoomDirection={null}
           />
         ) : (
           <Skeleton className="size-full" />
diff --git a/web/src/views/explore/ExploreView.tsx b/web/src/views/explore/ExploreView.tsx
index 0ec825416..f680b6566 100644
--- a/web/src/views/explore/ExploreView.tsx
+++ b/web/src/views/explore/ExploreView.tsx
@@ -3,7 +3,7 @@ import { isDesktop, isIOS, isMobileOnly, isSafari } from "react-device-detect";
 import useSWR from "swr";
 import { useApiHost } from "@/api";
 import { cn } from "@/lib/utils";
-import { LuArrowRightCircle } from "react-icons/lu";
+import { BsArrowRightCircle } from "react-icons/bs";
 import { useNavigate } from "react-router-dom";
 import {
   Tooltip,
@@ -21,6 +21,8 @@ import TimeAgo from "@/components/dynamic/TimeAgo";
 import SearchResultActions from "@/components/menu/SearchResultActions";
 import { SearchTab } from "@/components/overlay/detail/SearchDetailDialog";
 import { FrigateConfig } from "@/types/frigateConfig";
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type ExploreViewProps = {
   searchDetail: SearchResult | undefined;
@@ -35,11 +37,12 @@ export default function ExploreView({
   setSimilaritySearch,
   onSelectSearch,
 }: ExploreViewProps) {
+  const { t } = useTranslation(["views/explore"]);
   // title
 
   useEffect(() => {
-    document.title = "Explore - Frigate";
-  }, []);
+    document.title = t("documentTitle");
+  }, [t]);
 
   // data
 
@@ -137,6 +140,7 @@ function ThumbnailRow({
   setSimilaritySearch,
   onSelectSearch,
 }: ThumbnailRowType) {
+  const { t } = useTranslation(["views/explore"]);
   const navigate = useNavigate();
 
   const handleSearch = (label: string) => {
@@ -148,16 +152,14 @@ function ThumbnailRow({
 
   return (
     <div className="rounded-lg bg-background_alt p-2 md:px-4">
-      <div className="flex flex-row items-center text-lg capitalize">
-        {objectType.replaceAll("_", " ")}
+      <div className="flex flex-row items-center text-lg smart-capitalize">
+        {getTranslatedLabel(objectType)}
         {searchResults && (
           <span className="ml-3 text-sm text-secondary-foreground">
-            (
-            {
+            {t("trackedObjectsCount", {
               // @ts-expect-error we know this is correct
-              searchResults[0].event_count
-            }{" "}
-            tracked objects){" "}
+              count: searchResults[0].event_count,
+            })}
           </span>
         )}
         {isValidating && <ActivityIndicator className="ml-2 size-4" />}
@@ -183,14 +185,14 @@ function ThumbnailRow({
         >
           <Tooltip>
             <TooltipTrigger>
-              <LuArrowRightCircle
+              <BsArrowRightCircle
                 className="ml-2 text-secondary-foreground transition-all duration-300 hover:text-primary"
                 size={24}
               />
             </TooltipTrigger>
             <TooltipPortal>
-              <TooltipContent className="capitalize">
-                <ExploreMoreLink objectType={objectType} />
+              <TooltipContent>
+                {t("exploreMore", { label: getTranslatedLabel(objectType) })}
               </TooltipContent>
             </TooltipPortal>
           </Tooltip>
@@ -225,7 +227,7 @@ function ExploreThumbnailImage({
   };
 
   const handleShowObjectLifecycle = () => {
-    onSelectSearch(event, false, "object lifecycle");
+    onSelectSearch(event, false, "object_lifecycle");
   };
 
   const handleShowSnapshot = () => {
@@ -262,7 +264,7 @@ function ExploreThumbnailImage({
           }
           loading={isSafari ? "eager" : "lazy"}
           draggable={false}
-          src={`${apiHost}api/events/${event.id}/thumbnail.jpg`}
+          src={`${apiHost}api/events/${event.id}/thumbnail.webp`}
           onClick={() => setSearchDetail(event)}
           onLoad={onImgLoad}
           alt={`${event.label} thumbnail`}
@@ -282,12 +284,3 @@ function ExploreThumbnailImage({
     </SearchResultActions>
   );
 }
-
-function ExploreMoreLink({ objectType }: { objectType: string }) {
-  const formattedType = objectType.replaceAll("_", " ");
-  const label = formattedType.endsWith("s")
-    ? `${formattedType}es`
-    : `${formattedType}s`;
-
-  return <div>Explore More {label}</div>;
-}
diff --git a/web/src/views/live/DraggableGridLayout.tsx b/web/src/views/live/DraggableGridLayout.tsx
index fc2d9bb52..ccd1b373b 100644
--- a/web/src/views/live/DraggableGridLayout.tsx
+++ b/web/src/views/live/DraggableGridLayout.tsx
@@ -1,5 +1,6 @@
 import { usePersistence } from "@/hooks/use-persistence";
 import {
+  AllGroupsStreamingSettings,
   BirdseyeConfig,
   CameraConfig,
   FrigateConfig,
@@ -20,7 +21,12 @@ import {
 } from "react-grid-layout";
 import "react-grid-layout/css/styles.css";
 import "react-resizable/css/styles.css";
-import { LivePlayerError, LivePlayerMode } from "@/types/live";
+import {
+  AudioState,
+  LivePlayerMode,
+  StatsState,
+  VolumeState,
+} from "@/types/live";
 import { ASPECT_VERTICAL_LAYOUT, ASPECT_WIDE_LAYOUT } from "@/types/record";
 import { Skeleton } from "@/components/ui/skeleton";
 import { useResizeObserver } from "@/hooks/resize-observer";
@@ -42,6 +48,9 @@ import {
 } from "@/components/ui/tooltip";
 import { Toaster } from "@/components/ui/sonner";
 import useCameraLiveMode from "@/hooks/use-camera-live-mode";
+import LiveContextMenu from "@/components/menu/LiveContextMenu";
+import { useStreamingSettings } from "@/context/streaming-settings-provider";
+import { useTranslation } from "react-i18next";
 
 type DraggableGridLayoutProps = {
   cameras: CameraConfig[];
@@ -71,13 +80,32 @@ export default function DraggableGridLayout({
   fullscreen,
   toggleFullscreen,
 }: DraggableGridLayoutProps) {
+  const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const birdseyeConfig = useMemo(() => config?.birdseye, [config]);
 
   // preferred live modes per camera
 
-  const { preferredLiveModes, setPreferredLiveModes, resetPreferredLiveMode } =
-    useCameraLiveMode(cameras, windowVisible);
+  const {
+    preferredLiveModes,
+    setPreferredLiveModes,
+    resetPreferredLiveMode,
+    isRestreamedStates,
+    supportsAudioOutputStates,
+  } = useCameraLiveMode(cameras, windowVisible);
+
+  const [globalAutoLive] = usePersistence("autoLiveView", true);
+
+  const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
+    useStreamingSettings();
+
+  const currentGroupStreamingSettings = useMemo(() => {
+    if (cameraGroup && cameraGroup != "default" && allGroupsStreamingSettings) {
+      return allGroupsStreamingSettings[cameraGroup];
+    }
+  }, [allGroupsStreamingSettings, cameraGroup]);
+
+  // grid layout
 
   const ResponsiveGridLayout = useMemo(() => WidthProvider(Responsive), []);
 
@@ -342,6 +370,107 @@ export default function DraggableGridLayout({
     placeholder.h = layoutItem.h;
   };
 
+  // audio and stats states
+
+  const [audioStates, setAudioStates] = useState<AudioState>({});
+  const [volumeStates, setVolumeStates] = useState<VolumeState>({});
+  const [statsStates, setStatsStates] = useState<StatsState>(() => {
+    const initialStates: StatsState = {};
+    cameras.forEach((camera) => {
+      initialStates[camera.name] = false;
+    });
+    return initialStates;
+  });
+
+  const toggleStats = (cameraName: string): void => {
+    setStatsStates((prev) => ({
+      ...prev,
+      [cameraName]: !prev[cameraName],
+    }));
+  };
+
+  useEffect(() => {
+    if (!allGroupsStreamingSettings) {
+      return;
+    }
+
+    const initialAudioStates: AudioState = {};
+    const initialVolumeStates: VolumeState = {};
+
+    Object.entries(allGroupsStreamingSettings).forEach(([_, groupSettings]) => {
+      if (groupSettings) {
+        Object.entries(groupSettings).forEach(([camera, cameraSettings]) => {
+          initialAudioStates[camera] = cameraSettings.playAudio ?? false;
+          initialVolumeStates[camera] = cameraSettings.volume ?? 1;
+        });
+      }
+    });
+
+    setAudioStates(initialAudioStates);
+    setVolumeStates(initialVolumeStates);
+  }, [allGroupsStreamingSettings]);
+
+  const toggleAudio = (cameraName: string) => {
+    setAudioStates((prev) => ({
+      ...prev,
+      [cameraName]: !prev[cameraName],
+    }));
+  };
+
+  const onSaveMuting = useCallback(
+    (playAudio: boolean) => {
+      if (!cameraGroup || !allGroupsStreamingSettings) {
+        return;
+      }
+
+      const existingGroupSettings =
+        allGroupsStreamingSettings[cameraGroup] || {};
+
+      const updatedSettings: AllGroupsStreamingSettings = {
+        ...Object.fromEntries(
+          Object.entries(allGroupsStreamingSettings || {}).filter(
+            ([key]) => key !== cameraGroup,
+          ),
+        ),
+        [cameraGroup]: {
+          ...existingGroupSettings,
+          ...Object.fromEntries(
+            Object.entries(existingGroupSettings).map(
+              ([cameraName, settings]) => [
+                cameraName,
+                {
+                  ...settings,
+                  playAudio: playAudio,
+                },
+              ],
+            ),
+          ),
+        },
+      };
+
+      setAllGroupsStreamingSettings?.(updatedSettings);
+    },
+    [cameraGroup, allGroupsStreamingSettings, setAllGroupsStreamingSettings],
+  );
+
+  const muteAll = () => {
+    const updatedStates: AudioState = {};
+    cameras.forEach((camera) => {
+      updatedStates[camera.name] = false;
+    });
+    setAudioStates(updatedStates);
+    onSaveMuting(false);
+  };
+
+  const unmuteAll = () => {
+    const updatedStates: AudioState = {};
+    cameras.forEach((camera) => {
+      updatedStates[camera.name] = true;
+    });
+    setAudioStates(updatedStates);
+    onSaveMuting(true);
+  };
+
   return (
     <>
       <Toaster position="top-center" closeButton={true} />
@@ -364,7 +493,7 @@ export default function DraggableGridLayout({
         </div>
       ) : (
         <div
-          className="no-scrollbar my-2 overflow-x-hidden px-2 pb-8"
+          className="no-scrollbar my-2 select-none overflow-x-hidden px-2 pb-8"
           ref={gridContainerRef}
         >
           <EditGroupDialog
@@ -420,40 +549,103 @@ export default function DraggableGridLayout({
               } else {
                 grow = "aspect-video";
               }
+              const availableStreams = camera.live.streams || {};
+              const firstStreamEntry = Object.values(availableStreams)[0] || "";
+
+              const streamNameFromSettings =
+                currentGroupStreamingSettings?.[camera.name]?.streamName || "";
+              const streamExists =
+                streamNameFromSettings &&
+                Object.values(availableStreams).includes(
+                  streamNameFromSettings,
+                );
+
+              const streamName = streamExists
+                ? streamNameFromSettings
+                : firstStreamEntry;
+              const streamType =
+                currentGroupStreamingSettings?.[camera.name]?.streamType;
+              const autoLive =
+                streamType !== undefined
+                  ? streamType !== "no-streaming"
+                  : undefined;
+              const showStillWithoutActivity =
+                currentGroupStreamingSettings?.[camera.name]?.streamType !==
+                "continuous";
+              const useWebGL =
+                currentGroupStreamingSettings?.[camera.name]
+                  ?.compatibilityMode || false;
               return (
-                <LivePlayerGridItem
+                <GridLiveContextMenu
+                  className={grow}
                   key={camera.name}
-                  cameraRef={cameraRef}
-                  className={cn(
-                    "rounded-lg bg-black md:rounded-2xl",
-                    grow,
-                    isEditMode &&
-                      showCircles &&
-                      "outline-2 outline-muted-foreground hover:cursor-grab hover:outline-4 active:cursor-grabbing",
-                  )}
-                  windowVisible={
-                    windowVisible && visibleCameras.includes(camera.name)
-                  }
-                  cameraConfig={camera}
+                  camera={camera.name}
+                  streamName={streamName}
+                  cameraGroup={cameraGroup}
                   preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
-                  onClick={() => {
-                    !isEditMode && onSelectCamera(camera.name);
-                  }}
-                  onError={(e) => {
-                    setPreferredLiveModes((prevModes) => {
-                      const newModes = { ...prevModes };
-                      if (e === "mse-decode") {
-                        newModes[camera.name] = "webrtc";
-                      } else {
-                        newModes[camera.name] = "jsmpeg";
-                      }
-                      return newModes;
-                    });
-                  }}
-                  onResetLiveMode={() => resetPreferredLiveMode(camera.name)}
+                  isRestreamed={isRestreamedStates[camera.name]}
+                  supportsAudio={
+                    supportsAudioOutputStates[streamName]?.supportsAudio ??
+                    false
+                  }
+                  audioState={audioStates[camera.name]}
+                  toggleAudio={() => toggleAudio(camera.name)}
+                  statsState={statsStates[camera.name]}
+                  toggleStats={() => toggleStats(camera.name)}
+                  volumeState={volumeStates[camera.name]}
+                  setVolumeState={(value) =>
+                    setVolumeStates({
+                      [camera.name]: value,
+                    })
+                  }
+                  muteAll={muteAll}
+                  unmuteAll={unmuteAll}
+                  resetPreferredLiveMode={() =>
+                    resetPreferredLiveMode(camera.name)
+                  }
+                  config={config}
                 >
+                  <LivePlayer
+                    key={camera.name}
+                    streamName={streamName}
+                    autoLive={autoLive ?? globalAutoLive}
+                    showStillWithoutActivity={showStillWithoutActivity ?? true}
+                    useWebGL={useWebGL}
+                    cameraRef={cameraRef}
+                    className={cn(
+                      "rounded-lg bg-black md:rounded-2xl",
+                      grow,
+                      isEditMode &&
+                        showCircles &&
+                        "outline-2 outline-muted-foreground hover:cursor-grab hover:outline-4 active:cursor-grabbing",
+                    )}
+                    windowVisible={
+                      windowVisible && visibleCameras.includes(camera.name)
+                    }
+                    cameraConfig={camera}
+                    preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
+                    playInBackground={false}
+                    showStats={statsStates[camera.name]}
+                    onClick={() => {
+                      !isEditMode && onSelectCamera(camera.name);
+                    }}
+                    onError={(e) => {
+                      setPreferredLiveModes((prevModes) => {
+                        const newModes = { ...prevModes };
+                        if (e === "mse-decode") {
+                          newModes[camera.name] = "webrtc";
+                        } else {
+                          newModes[camera.name] = "jsmpeg";
+                        }
+                        return newModes;
+                      });
+                    }}
+                    onResetLiveMode={() => resetPreferredLiveMode(camera.name)}
+                    playAudio={audioStates[camera.name]}
+                    volume={volumeStates[camera.name]}
+                  />
                   {isEditMode && showCircles && <CornerCircles />}
-                </LivePlayerGridItem>
+                </GridLiveContextMenu>
               );
             })}
           </ResponsiveGridLayout>
@@ -483,7 +675,9 @@ export default function DraggableGridLayout({
                   </div>
                 </TooltipTrigger>
                 <TooltipContent>
-                  {isEditMode ? "Exit Editing" : "Edit Layout"}
+                  {isEditMode
+                    ? t("editLayout.exitEdit")
+                    : t("editLayout.label")}
                 </TooltipContent>
               </Tooltip>
               {!isEditMode && (
@@ -501,7 +695,9 @@ export default function DraggableGridLayout({
                         </div>
                       </TooltipTrigger>
                       <TooltipContent>
-                        {isEditMode ? "Exit Editing" : "Edit Camera Group"}
+                        {isEditMode
+                          ? t("editLayout.exitEdit")
+                          : t("editLayout.group.label")}
                       </TooltipContent>
                     </Tooltip>
                   )}
@@ -519,7 +715,9 @@ export default function DraggableGridLayout({
                       </div>
                     </TooltipTrigger>
                     <TooltipContent>
-                      {fullscreen ? "Exit Fullscreen" : "Fullscreen"}
+                      {fullscreen
+                        ? t("button.exitFullscreen", { ns: "common" })
+                        : t("button.fullscreen", { ns: "common" })}
                     </TooltipContent>
                   </Tooltip>
                 </>
@@ -596,41 +794,59 @@ const BirdseyeLivePlayerGridItem = React.forwardRef<
   },
 );
 
-type LivePlayerGridItemProps = {
+type GridLiveContextMenuProps = {
+  className?: string;
   style?: React.CSSProperties;
-  className: string;
   onMouseDown?: React.MouseEventHandler<HTMLDivElement>;
   onMouseUp?: React.MouseEventHandler<HTMLDivElement>;
   onTouchEnd?: React.TouchEventHandler<HTMLDivElement>;
   children?: React.ReactNode;
-  cameraRef: (node: HTMLElement | null) => void;
-  windowVisible: boolean;
-  cameraConfig: CameraConfig;
-  preferredLiveMode: LivePlayerMode;
-  onClick: () => void;
-  onError: (e: LivePlayerError) => void;
-  onResetLiveMode: () => void;
+  camera: string;
+  streamName: string;
+  cameraGroup: string;
+  preferredLiveMode: string;
+  isRestreamed: boolean;
+  supportsAudio: boolean;
+  audioState: boolean;
+  toggleAudio: () => void;
+  statsState: boolean;
+  toggleStats: () => void;
+  volumeState?: number;
+  setVolumeState: (volumeState: number) => void;
+  muteAll: () => void;
+  unmuteAll: () => void;
+  resetPreferredLiveMode: () => void;
+  config?: FrigateConfig;
 };
 
-const LivePlayerGridItem = React.forwardRef<
+const GridLiveContextMenu = React.forwardRef<
   HTMLDivElement,
-  LivePlayerGridItemProps
+  GridLiveContextMenuProps
 >(
   (
     {
-      style,
       className,
+      style,
       onMouseDown,
       onMouseUp,
       onTouchEnd,
       children,
-      cameraRef,
-      windowVisible,
-      cameraConfig,
+      camera,
+      streamName,
+      cameraGroup,
       preferredLiveMode,
-      onClick,
-      onError,
-      onResetLiveMode,
+      isRestreamed,
+      supportsAudio,
+      audioState,
+      toggleAudio,
+      statsState,
+      toggleStats,
+      volumeState,
+      setVolumeState,
+      muteAll,
+      unmuteAll,
+      resetPreferredLiveMode,
+      config,
       ...props
     },
     ref,
@@ -644,18 +860,27 @@ const LivePlayerGridItem = React.forwardRef<
         onTouchEnd={onTouchEnd}
         {...props}
       >
-        <LivePlayer
-          cameraRef={cameraRef}
+        <LiveContextMenu
           className={className}
-          windowVisible={windowVisible}
-          cameraConfig={cameraConfig}
+          camera={camera}
+          streamName={streamName}
+          cameraGroup={cameraGroup}
           preferredLiveMode={preferredLiveMode}
-          onClick={onClick}
-          onError={onError}
-          onResetLiveMode={onResetLiveMode}
-          containerRef={ref as React.RefObject<HTMLDivElement>}
-        />
-        {children}
+          isRestreamed={isRestreamed}
+          supportsAudio={supportsAudio}
+          audioState={audioState}
+          toggleAudio={toggleAudio}
+          statsState={statsState}
+          toggleStats={toggleStats}
+          volumeState={volumeState}
+          setVolumeState={setVolumeState}
+          muteAll={muteAll}
+          unmuteAll={unmuteAll}
+          resetPreferredLiveMode={resetPreferredLiveMode}
+          config={config}
+        >
+          {children}
+        </LiveContextMenu>
       </div>
     );
   },
diff --git a/web/src/views/live/LiveBirdseyeView.tsx b/web/src/views/live/LiveBirdseyeView.tsx
index ecaea9ca9..ca28180bf 100644
--- a/web/src/views/live/LiveBirdseyeView.tsx
+++ b/web/src/views/live/LiveBirdseyeView.tsx
@@ -14,6 +14,7 @@ import {
   isSafari,
   useMobileOrientation,
 } from "react-device-detect";
+import { useTranslation } from "react-i18next";
 import { FaCompress, FaExpand } from "react-icons/fa";
 import { IoMdArrowBack } from "react-icons/io";
 import { LuPictureInPicture } from "react-icons/lu";
@@ -32,6 +33,7 @@ export default function LiveBirdseyeView({
   fullscreen,
   toggleFullscreen,
 }: LiveBirdseyeViewProps) {
+  const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const navigate = useNavigate();
   const { isPortrait } = useMobileOrientation();
@@ -144,12 +146,16 @@ export default function LiveBirdseyeView({
           {!fullscreen ? (
             <Button
               className={`flex items-center gap-2 rounded-lg ${isMobile ? "ml-2" : "ml-0"}`}
-              aria-label="Go Back"
+              aria-label={t("label.back", { ns: "common" })}
               size={isMobile ? "icon" : "sm"}
               onClick={() => navigate(-1)}
             >
               <IoMdArrowBack className="size-5" />
-              {isDesktop && <div className="text-primary">Back</div>}
+              {isDesktop && (
+                <div className="text-primary">
+                  {t("button.back", { ns: "common" })}
+                </div>
+              )}
             </Button>
           ) : (
             <div />
@@ -164,7 +170,11 @@ export default function LiveBirdseyeView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={fullscreen ? FaCompress : FaExpand}
                   isActive={fullscreen}
-                  title={fullscreen ? "Close" : "Fullscreen"}
+                  title={
+                    fullscreen
+                      ? t("button.close", { ns: "common" })
+                      : t("button.fullscreen", { ns: "common" })
+                  }
                   onClick={toggleFullscreen}
                 />
               )}
@@ -174,7 +184,11 @@ export default function LiveBirdseyeView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={LuPictureInPicture}
                   isActive={pip}
-                  title={pip ? "Close" : "Picture in Picture"}
+                  title={
+                    pip
+                      ? t("button.close", { ns: "common" })
+                      : t("button.pictureInPicture", { ns: "common" })
+                  }
                   onClick={() => {
                     if (!pip) {
                       setPip(true);
diff --git a/web/src/views/live/LiveCameraView.tsx b/web/src/views/live/LiveCameraView.tsx
index af3ed0cee..b972e1a39 100644
--- a/web/src/views/live/LiveCameraView.tsx
+++ b/web/src/views/live/LiveCameraView.tsx
@@ -2,6 +2,7 @@ import {
   useAudioState,
   useAutotrackingState,
   useDetectState,
+  useEnabledState,
   usePtzCommand,
   useRecordingsState,
   useSnapshotsState,
@@ -17,6 +18,11 @@ import {
   DropdownMenuItem,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
 import {
   Tooltip,
   TooltipContent,
@@ -62,30 +68,59 @@ import {
   FaMicrophoneSlash,
 } from "react-icons/fa";
 import { GiSpeaker, GiSpeakerOff } from "react-icons/gi";
-import { TbViewfinder, TbViewfinderOff } from "react-icons/tb";
-import { IoMdArrowRoundBack } from "react-icons/io";
 import {
+  TbRecordMail,
+  TbRecordMailOff,
+  TbViewfinder,
+  TbViewfinderOff,
+} from "react-icons/tb";
+import { IoIosWarning, IoMdArrowRoundBack } from "react-icons/io";
+import {
+  LuCheck,
   LuEar,
   LuEarOff,
+  LuExternalLink,
   LuHistory,
+  LuInfo,
   LuPictureInPicture,
+  LuPower,
+  LuPowerOff,
   LuVideo,
   LuVideoOff,
+  LuX,
 } from "react-icons/lu";
 import {
   MdNoPhotography,
+  MdOutlineRestartAlt,
   MdPersonOff,
   MdPersonSearch,
   MdPhotoCamera,
   MdZoomIn,
   MdZoomOut,
 } from "react-icons/md";
-import { useNavigate } from "react-router-dom";
+import { Link, useNavigate } from "react-router-dom";
 import { TransformWrapper, TransformComponent } from "react-zoom-pan-pinch";
 import useSWR from "swr";
 import { cn } from "@/lib/utils";
 import { useSessionPersistence } from "@/hooks/use-session-persistence";
 
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+} from "@/components/ui/select";
+import { usePersistence } from "@/hooks/use-persistence";
+import { Label } from "@/components/ui/label";
+import { Switch } from "@/components/ui/switch";
+import axios from "axios";
+import { toast } from "sonner";
+import { Toaster } from "@/components/ui/sonner";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
 type LiveCameraViewProps = {
   config?: FrigateConfig;
   camera: CameraConfig;
@@ -100,6 +135,7 @@ export default function LiveCameraView({
   fullscreen,
   toggleFullscreen,
 }: LiveCameraViewProps) {
+  const { t } = useTranslation(["views/live", "components/dialog"]);
   const navigate = useNavigate();
   const { isPortrait } = useMobileOrientation();
   const mainRef = useRef<HTMLDivElement | null>(null);
@@ -109,17 +145,20 @@ export default function LiveCameraView({
 
   // supported features
 
+  const [streamName, setStreamName] = usePersistence<string>(
+    `${camera.name}-stream`,
+    Object.values(camera.live.streams)[0],
+  );
+
   const isRestreamed = useMemo(
     () =>
       config &&
-      Object.keys(config.go2rtc.streams || {}).includes(
-        camera.live.stream_name,
-      ),
-    [camera, config],
+      Object.keys(config.go2rtc.streams || {}).includes(streamName ?? ""),
+    [config, streamName],
   );
 
   const { data: cameraMetadata } = useSWR<LiveStreamMetadata>(
-    isRestreamed ? `go2rtc/streams/${camera.live.stream_name}` : null,
+    isRestreamed ? `go2rtc/streams/${streamName}` : null,
     {
       revalidateOnFocus: false,
     },
@@ -154,6 +193,10 @@ export default function LiveCameraView({
     );
   }, [cameraMetadata]);
 
+  // camera enabled state
+  const { payload: enabledState } = useEnabledState(camera.name);
+  const cameraEnabled = enabledState === "ON";
+
   // click overlay for ptzs
 
   const [clickOverlay, setClickOverlay] = useState(false);
@@ -209,6 +252,13 @@ export default function LiveCameraView({
   const [pip, setPip] = useState(false);
   const [lowBandwidth, setLowBandwidth] = useState(false);
 
+  const [playInBackground, setPlayInBackground] = usePersistence<boolean>(
+    `${camera.name}-background-play`,
+    false,
+  );
+
+  const [showStats, setShowStats] = useState(false);
+
   const [fullResolution, setFullResolution] = useState<VideoResolutionType>({
     width: 0,
     height: 0,
@@ -317,6 +367,28 @@ export default function LiveCameraView({
     }
   }, [fullscreen, isPortrait, cameraAspectRatio, containerAspectRatio]);
 
+  // On mobile devices that support it, try to orient screen
+  // to best fit the camera feed in fullscreen mode
+  useEffect(() => {
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const screenOrientation = screen.orientation as any;
+    if (!screenOrientation.lock || !screenOrientation.unlock) {
+      // Browser does not support ScreenOrientation APIs that we need
+      return;
+    }
+
+    if (fullscreen) {
+      const orientationForBestFit =
+        cameraAspectRatio > 1 ? "landscape" : "portrait";
+
+      // If the current device doesn't support locking orientation,
+      // this promise will reject with an error that we can ignore
+      screenOrientation.lock(orientationForBestFit).catch(() => {});
+    }
+
+    return () => screenOrientation.unlock();
+  }, [fullscreen, cameraAspectRatio]);
+
   const handleError = useCallback(
     (e: LivePlayerError) => {
       if (e) {
@@ -337,6 +409,7 @@ export default function LiveCameraView({
 
   return (
     <TransformWrapper minScale={1.0} wheel={{ smoothStep: 0.005 }}>
+      <Toaster position="top-center" closeButton={true} />
       <div
         ref={mainRef}
         className={
@@ -358,16 +431,20 @@ export default function LiveCameraView({
             >
               <Button
                 className={`flex items-center gap-2.5 rounded-lg`}
-                aria-label="Go back"
+                aria-label={t("label.back", { ns: "common" })}
                 size="sm"
                 onClick={() => navigate(-1)}
               >
                 <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-                {isDesktop && <div className="text-primary">Back</div>}
+                {isDesktop && (
+                  <div className="text-primary">
+                    {t("button.back", { ns: "common" })}
+                  </div>
+                )}
               </Button>
               <Button
                 className="flex items-center gap-2.5 rounded-lg"
-                aria-label="Show historical footage"
+                aria-label={t("history.label")}
                 size="sm"
                 onClick={() => {
                   navigate("review", {
@@ -383,7 +460,11 @@ export default function LiveCameraView({
                 }}
               >
                 <LuHistory className="size-5 text-secondary-foreground" />
-                {isDesktop && <div className="text-primary">History</div>}
+                {isDesktop && (
+                  <div className="text-primary">
+                    {t("button.history", { ns: "common" })}
+                  </div>
+                )}
               </Button>
             </div>
           ) : (
@@ -396,13 +477,15 @@ export default function LiveCameraView({
               {fullscreen && (
                 <Button
                   className="bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-primary"
-                  aria-label="Go back"
+                  aria-label={t("label.back", { ns: "common" })}
                   size="sm"
                   onClick={() => navigate(-1)}
                 >
                   <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
                   {isDesktop && (
-                    <div className="text-secondary-foreground">Back</div>
+                    <div className="text-secondary-foreground">
+                      {t("button.back", { ns: "common" })}
+                    </div>
                   )}
                 </Button>
               )}
@@ -412,7 +495,11 @@ export default function LiveCameraView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={fullscreen ? FaCompress : FaExpand}
                   isActive={fullscreen}
-                  title={fullscreen ? "Close" : "Fullscreen"}
+                  title={
+                    fullscreen
+                      ? t("button.close", { ns: "common" })
+                      : t("button.fullscreen", { ns: "common" })
+                  }
                   onClick={toggleFullscreen}
                 />
               )}
@@ -422,7 +509,11 @@ export default function LiveCameraView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={LuPictureInPicture}
                   isActive={pip}
-                  title={pip ? "Close" : "Picture in Picture"}
+                  title={
+                    pip
+                      ? t("button.close", { ns: "common" })
+                      : t("button.pictureInPicture", { ns: "common" })
+                  }
                   onClick={() => {
                     if (!pip) {
                       setPip(true);
@@ -431,6 +522,7 @@ export default function LiveCameraView({
                       setPip(false);
                     }
                   }}
+                  disabled={!cameraEnabled}
                 />
               )}
               {supports2WayTalk && (
@@ -439,14 +531,18 @@ export default function LiveCameraView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={mic ? FaMicrophone : FaMicrophoneSlash}
                   isActive={mic}
-                  title={`${mic ? "Disable" : "Enable"} Two Way Talk`}
+                  title={
+                    mic
+                      ? t("twoWayTalk.disable", { ns: "views/live" })
+                      : t("twoWayTalk.enable", { ns: "views/live" })
+                  }
                   onClick={() => {
                     setMic(!mic);
-                    // Turn on audio when enabling the mic if audio is currently off
                     if (!mic && !audio) {
                       setAudio(true);
                     }
                   }}
+                  disabled={!cameraEnabled}
                 />
               )}
               {supportsAudioOutput && preferredLiveMode != "jsmpeg" && (
@@ -455,18 +551,35 @@ export default function LiveCameraView({
                   variant={fullscreen ? "overlay" : "primary"}
                   Icon={audio ? GiSpeaker : GiSpeakerOff}
                   isActive={audio ?? false}
-                  title={`${audio ? "Disable" : "Enable"} Camera Audio`}
+                  title={
+                    audio
+                      ? t("cameraAudio.disable", { ns: "views/live" })
+                      : t("cameraAudio.enable", { ns: "views/live" })
+                  }
                   onClick={() => setAudio(!audio)}
+                  disabled={!cameraEnabled}
                 />
               )}
               <FrigateCameraFeatures
-                camera={camera.name}
+                camera={camera}
                 recordingEnabled={camera.record.enabled_in_config}
                 audioDetectEnabled={camera.audio.enabled_in_config}
                 autotrackingEnabled={
                   camera.onvif.autotracking.enabled_in_config
                 }
                 fullscreen={fullscreen}
+                streamName={streamName ?? ""}
+                setStreamName={setStreamName}
+                preferredLiveMode={preferredLiveMode}
+                playInBackground={playInBackground ?? false}
+                setPlayInBackground={setPlayInBackground}
+                showStats={showStats}
+                setShowStats={setShowStats}
+                isRestreamed={isRestreamed ?? false}
+                setLowBandwidth={setLowBandwidth}
+                supportsAudioOutput={supportsAudioOutput}
+                supports2WayTalk={supports2WayTalk}
+                cameraEnabled={cameraEnabled}
               />
             </div>
           </TooltipProvider>
@@ -499,9 +612,13 @@ export default function LiveCameraView({
                 showStillWithoutActivity={false}
                 cameraConfig={camera}
                 playAudio={audio}
+                playInBackground={playInBackground ?? false}
+                showStats={showStats}
                 micEnabled={mic}
                 iOSCompatFullScreen={isIOS}
                 preferredLiveMode={preferredLiveMode}
+                useWebGL={true}
+                streamName={streamName ?? ""}
                 pip={pip}
                 containerRef={containerRef}
                 setFullResolution={setFullResolution}
@@ -515,6 +632,7 @@ export default function LiveCameraView({
         <div className="flex flex-col items-center justify-center">
           <PtzControlPanel
             camera={camera.name}
+            enabled={cameraEnabled}
             clickOverlay={clickOverlay}
             setClickOverlay={setClickOverlay}
           />
@@ -573,14 +691,19 @@ function TooltipButton({
 
 function PtzControlPanel({
   camera,
+  enabled,
   clickOverlay,
   setClickOverlay,
 }: {
   camera: string;
+  enabled: boolean;
   clickOverlay: boolean;
   setClickOverlay: React.Dispatch<React.SetStateAction<boolean>>;
 }) {
-  const { data: ptz } = useSWR<CameraPtzInfo>(`${camera}/ptz/info`);
+  const { t } = useTranslation(["views/live"]);
+  const { data: ptz } = useSWR<CameraPtzInfo>(
+    enabled ? `${camera}/ptz/info` : null,
+  );
 
   const { send: sendPtz } = usePtzCommand(camera);
 
@@ -665,7 +788,7 @@ function PtzControlPanel({
       {ptz?.features?.includes("pt") && (
         <>
           <TooltipButton
-            label="Move camera left"
+            label={t("ptz.move.left.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_LEFT");
@@ -680,7 +803,7 @@ function PtzControlPanel({
             <FaAngleLeft />
           </TooltipButton>
           <TooltipButton
-            label="Move camera up"
+            label={t("ptz.move.up.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_UP");
@@ -695,7 +818,7 @@ function PtzControlPanel({
             <FaAngleUp />
           </TooltipButton>
           <TooltipButton
-            label="Move camera down"
+            label={t("ptz.move.down.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_DOWN");
@@ -710,7 +833,7 @@ function PtzControlPanel({
             <FaAngleDown />
           </TooltipButton>
           <TooltipButton
-            label="Move camera right"
+            label={t("ptz.move.right.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_RIGHT");
@@ -729,7 +852,7 @@ function PtzControlPanel({
       {ptz?.features?.includes("zoom") && (
         <>
           <TooltipButton
-            label="Zoom in"
+            label={t("ptz.zoom.in.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("ZOOM_IN");
@@ -744,7 +867,7 @@ function PtzControlPanel({
             <MdZoomIn />
           </TooltipButton>
           <TooltipButton
-            label="Zoom out"
+            label={t("ptz.zoom.out.label")}
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("ZOOM_OUT");
@@ -767,14 +890,18 @@ function PtzControlPanel({
             <TooltipTrigger asChild>
               <Button
                 className={`${clickOverlay ? "text-selected" : "text-primary"}`}
-                aria-label="Click in the frame to center the camera"
+                aria-label={t("ptz.move.clickMove.label")}
                 onClick={() => setClickOverlay(!clickOverlay)}
               >
                 <TbViewfinder />
               </Button>
             </TooltipTrigger>
             <TooltipContent>
-              <p>{clickOverlay ? "Disable" : "Enable"} click to move</p>
+              <p>
+                {clickOverlay
+                  ? t("ptz.move.clickMove.disable")
+                  : t("ptz.move.clickMove.enable")}
+              </p>
             </TooltipContent>
           </Tooltip>
         </TooltipProvider>
@@ -785,7 +912,7 @@ function PtzControlPanel({
             <TooltipTrigger asChild>
               <DropdownMenu modal={!isDesktop}>
                 <DropdownMenuTrigger asChild>
-                  <Button aria-label="PTZ camera presets">
+                  <Button aria-label={t("ptz.presets")}>
                     <BsThreeDotsVertical />
                   </Button>
                 </DropdownMenuTrigger>
@@ -807,7 +934,7 @@ function PtzControlPanel({
               </DropdownMenu>
             </TooltipTrigger>
             <TooltipContent>
-              <p>PTZ camera presets</p>
+              <p>{t("ptz.presets")}</p>
             </TooltipContent>
           </Tooltip>
         </TooltipProvider>
@@ -816,12 +943,60 @@ function PtzControlPanel({
   );
 }
 
+function OnDemandRetentionMessage({ camera }: { camera: CameraConfig }) {
+  const { t } = useTranslation(["views/live", "views/events"]);
+  const rankMap = { all: 0, motion: 1, active_objects: 2 };
+  const getValidMode = (retain?: { mode?: string }): keyof typeof rankMap => {
+    const mode = retain?.mode;
+    return mode && mode in rankMap ? (mode as keyof typeof rankMap) : "all";
+  };
+
+  const recordRetainMode = getValidMode(camera.record.retain);
+  const alertsRetainMode = getValidMode(camera.review.alerts.retain);
+
+  const effectiveRetainMode =
+    rankMap[alertsRetainMode] < rankMap[recordRetainMode]
+      ? recordRetainMode
+      : alertsRetainMode;
+
+  const source = effectiveRetainMode === recordRetainMode ? "camera" : "alerts";
+
+  return effectiveRetainMode !== "all" ? (
+    <div>
+      <Trans
+        ns="views/live"
+        values={{
+          source,
+          effectiveRetainMode,
+          effectiveRetainModeName: t(
+            "effectiveRetainMode.modes." + effectiveRetainMode,
+          ),
+        }}
+      >
+        effectiveRetainMode.notAllTips
+      </Trans>
+    </div>
+  ) : null;
+}
+
 type FrigateCameraFeaturesProps = {
-  camera: string;
+  camera: CameraConfig;
   recordingEnabled: boolean;
   audioDetectEnabled: boolean;
   autotrackingEnabled: boolean;
   fullscreen: boolean;
+  streamName: string;
+  setStreamName?: (value: string | undefined) => void;
+  preferredLiveMode: string;
+  playInBackground: boolean;
+  setPlayInBackground: (value: boolean | undefined) => void;
+  showStats: boolean;
+  setShowStats: (value: boolean) => void;
+  isRestreamed: boolean;
+  setLowBandwidth: React.Dispatch<React.SetStateAction<boolean>>;
+  supportsAudioOutput: boolean;
+  supports2WayTalk: boolean;
+  cameraEnabled: boolean;
 };
 function FrigateCameraFeatures({
   camera,
@@ -829,65 +1004,501 @@ function FrigateCameraFeatures({
   audioDetectEnabled,
   autotrackingEnabled,
   fullscreen,
+  streamName,
+  setStreamName,
+  preferredLiveMode,
+  playInBackground,
+  setPlayInBackground,
+  showStats,
+  setShowStats,
+  isRestreamed,
+  setLowBandwidth,
+  supportsAudioOutput,
+  supports2WayTalk,
+  cameraEnabled,
 }: FrigateCameraFeaturesProps) {
-  const { payload: detectState, send: sendDetect } = useDetectState(camera);
-  const { payload: recordState, send: sendRecord } = useRecordingsState(camera);
-  const { payload: snapshotState, send: sendSnapshot } =
-    useSnapshotsState(camera);
-  const { payload: audioState, send: sendAudio } = useAudioState(camera);
+  const { t } = useTranslation(["views/live", "components/dialog"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
+  const { payload: detectState, send: sendDetect } = useDetectState(
+    camera.name,
+  );
+  const { payload: enabledState, send: sendEnabled } = useEnabledState(
+    camera.name,
+  );
+  const { payload: recordState, send: sendRecord } = useRecordingsState(
+    camera.name,
+  );
+  const { payload: snapshotState, send: sendSnapshot } = useSnapshotsState(
+    camera.name,
+  );
+  const { payload: audioState, send: sendAudio } = useAudioState(camera.name);
   const { payload: autotrackingState, send: sendAutotracking } =
-    useAutotrackingState(camera);
+    useAutotrackingState(camera.name);
+
+  // roles
+
+  const isAdmin = useIsAdmin();
+
+  // manual event
+
+  const recordingEventIdRef = useRef<string | null>(null);
+  const [isRecording, setIsRecording] = useState(false);
+  const [activeToastId, setActiveToastId] = useState<string | number | null>(
+    null,
+  );
+
+  const createEvent = useCallback(async () => {
+    try {
+      const response = await axios.post(
+        `events/${camera.name}/on_demand/create`,
+        {
+          include_recording: true,
+          duration: null,
+        },
+      );
+
+      if (response.data.success) {
+        recordingEventIdRef.current = response.data.event_id;
+        setIsRecording(true);
+        const toastId = toast.success(
+          <div className="flex flex-col space-y-3">
+            <div className="font-semibold">{t("manualRecording.started")}</div>
+            {!camera.record.enabled || camera.record.alerts.retain.days == 0 ? (
+              <div>{t("manualRecording.recordDisabledTips")}</div>
+            ) : (
+              <OnDemandRetentionMessage camera={camera} />
+            )}
+          </div>,
+          {
+            position: "top-center",
+            duration: 10000,
+          },
+        );
+        setActiveToastId(toastId);
+      }
+    } catch (error) {
+      toast.error(t("manualRecording.failedToStart"), {
+        position: "top-center",
+      });
+    }
+  }, [camera, t]);
+
+  const endEvent = useCallback(() => {
+    if (activeToastId) {
+      toast.dismiss(activeToastId);
+    }
+    try {
+      if (recordingEventIdRef.current) {
+        axios.put(`events/${recordingEventIdRef.current}/end`, {
+          end_time: Math.ceil(Date.now() / 1000),
+        });
+        recordingEventIdRef.current = null;
+        setIsRecording(false);
+        toast.success(t("manualRecording.ended"), {
+          position: "top-center",
+        });
+      }
+    } catch (error) {
+      toast.error(t("manualRecording.failedToEnd"), {
+        position: "top-center",
+      });
+    }
+  }, [activeToastId, t]);
+
+  const handleEventButtonClick = useCallback(() => {
+    if (isRecording) {
+      endEvent();
+    } else {
+      createEvent();
+    }
+  }, [createEvent, endEvent, isRecording]);
+
+  useEffect(() => {
+    // ensure manual event is stopped when component unmounts
+    return () => {
+      if (recordingEventIdRef.current) {
+        endEvent();
+      }
+    };
+    // mount/unmount only
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  // navigate for debug view
+
+  const navigate = useNavigate();
 
   // desktop shows icons part of row
   if (isDesktop || isTablet) {
     return (
       <>
-        <CameraFeatureToggle
-          className="p-2 md:p-0"
-          variant={fullscreen ? "overlay" : "primary"}
-          Icon={detectState == "ON" ? MdPersonSearch : MdPersonOff}
-          isActive={detectState == "ON"}
-          title={`${detectState == "ON" ? "Disable" : "Enable"} Detect`}
-          onClick={() => sendDetect(detectState == "ON" ? "OFF" : "ON")}
-        />
-        <CameraFeatureToggle
-          className="p-2 md:p-0"
-          variant={fullscreen ? "overlay" : "primary"}
-          Icon={recordState == "ON" ? LuVideo : LuVideoOff}
-          isActive={recordState == "ON"}
-          title={`${recordState == "ON" ? "Disable" : "Enable"} Recording`}
-          onClick={() => sendRecord(recordState == "ON" ? "OFF" : "ON")}
-        />
-        <CameraFeatureToggle
-          className="p-2 md:p-0"
-          variant={fullscreen ? "overlay" : "primary"}
-          Icon={snapshotState == "ON" ? MdPhotoCamera : MdNoPhotography}
-          isActive={snapshotState == "ON"}
-          title={`${snapshotState == "ON" ? "Disable" : "Enable"} Snapshots`}
-          onClick={() => sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")}
-        />
-        {audioDetectEnabled && (
-          <CameraFeatureToggle
-            className="p-2 md:p-0"
-            variant={fullscreen ? "overlay" : "primary"}
-            Icon={audioState == "ON" ? LuEar : LuEarOff}
-            isActive={audioState == "ON"}
-            title={`${audioState == "ON" ? "Disable" : "Enable"} Audio Detect`}
-            onClick={() => sendAudio(audioState == "ON" ? "OFF" : "ON")}
-          />
-        )}
-        {autotrackingEnabled && (
-          <CameraFeatureToggle
-            className="p-2 md:p-0"
-            variant={fullscreen ? "overlay" : "primary"}
-            Icon={autotrackingState == "ON" ? TbViewfinder : TbViewfinderOff}
-            isActive={autotrackingState == "ON"}
-            title={`${autotrackingState == "ON" ? "Disable" : "Enable"} Autotracking`}
-            onClick={() =>
-              sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
-            }
-          />
+        {isAdmin && (
+          <>
+            <CameraFeatureToggle
+              className="p-2 md:p-0"
+              variant={fullscreen ? "overlay" : "primary"}
+              Icon={enabledState == "ON" ? LuPower : LuPowerOff}
+              isActive={enabledState == "ON"}
+              title={
+                enabledState == "ON" ? t("camera.disable") : t("camera.enable")
+              }
+              onClick={() => sendEnabled(enabledState == "ON" ? "OFF" : "ON")}
+              disabled={false}
+            />
+            <CameraFeatureToggle
+              className="p-2 md:p-0"
+              variant={fullscreen ? "overlay" : "primary"}
+              Icon={detectState == "ON" ? MdPersonSearch : MdPersonOff}
+              isActive={detectState == "ON"}
+              title={
+                detectState == "ON" ? t("detect.disable") : t("detect.enable")
+              }
+              onClick={() => sendDetect(detectState == "ON" ? "OFF" : "ON")}
+              disabled={!cameraEnabled}
+            />
+            <CameraFeatureToggle
+              className="p-2 md:p-0"
+              variant={fullscreen ? "overlay" : "primary"}
+              Icon={recordState == "ON" ? LuVideo : LuVideoOff}
+              isActive={recordState == "ON"}
+              title={
+                recordState == "ON"
+                  ? t("recording.disable")
+                  : t("recording.enable")
+              }
+              onClick={() => sendRecord(recordState == "ON" ? "OFF" : "ON")}
+              disabled={!cameraEnabled}
+            />
+            <CameraFeatureToggle
+              className="p-2 md:p-0"
+              variant={fullscreen ? "overlay" : "primary"}
+              Icon={snapshotState == "ON" ? MdPhotoCamera : MdNoPhotography}
+              isActive={snapshotState == "ON"}
+              title={
+                snapshotState == "ON"
+                  ? t("snapshots.disable")
+                  : t("snapshots.enable")
+              }
+              onClick={() => sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")}
+              disabled={!cameraEnabled}
+            />
+            {audioDetectEnabled && (
+              <CameraFeatureToggle
+                className="p-2 md:p-0"
+                variant={fullscreen ? "overlay" : "primary"}
+                Icon={audioState == "ON" ? LuEar : LuEarOff}
+                isActive={audioState == "ON"}
+                title={
+                  audioState == "ON"
+                    ? t("audioDetect.disable")
+                    : t("audioDetect.enable")
+                }
+                onClick={() => sendAudio(audioState == "ON" ? "OFF" : "ON")}
+                disabled={!cameraEnabled}
+              />
+            )}
+            {autotrackingEnabled && (
+              <CameraFeatureToggle
+                className="p-2 md:p-0"
+                variant={fullscreen ? "overlay" : "primary"}
+                Icon={
+                  autotrackingState == "ON" ? TbViewfinder : TbViewfinderOff
+                }
+                isActive={autotrackingState == "ON"}
+                title={
+                  autotrackingState == "ON"
+                    ? t("autotracking.disable")
+                    : t("autotracking.enable")
+                }
+                onClick={() =>
+                  sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
+                }
+                disabled={!cameraEnabled}
+              />
+            )}
+          </>
         )}
+        <CameraFeatureToggle
+          className={cn(
+            "p-2 md:p-0",
+            isRecording && "animate-pulse bg-red-500 hover:bg-red-600",
+          )}
+          variant={fullscreen ? "overlay" : "primary"}
+          Icon={isRecording ? TbRecordMail : TbRecordMailOff}
+          isActive={isRecording}
+          title={t("manualRecording." + (isRecording ? "stop" : "start"))}
+          onClick={handleEventButtonClick}
+          disabled={!cameraEnabled}
+        />
+
+        <DropdownMenu modal={false}>
+          <DropdownMenuTrigger>
+            <div
+              className={cn(
+                "flex flex-col items-center justify-center rounded-lg bg-secondary p-2 text-secondary-foreground md:p-0",
+              )}
+            >
+              <FaCog
+                className={`text-secondary-foreground" size-5 md:m-[6px]`}
+              />
+            </div>
+          </DropdownMenuTrigger>
+          <DropdownMenuContent className="max-w-96">
+            <div className="flex flex-col gap-5 p-4">
+              {!isRestreamed && (
+                <div className="flex flex-col gap-2">
+                  <Label>
+                    {t("streaming.label", { ns: "components/dialog" })}
+                  </Label>
+                  <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                    <LuX className="size-4 text-danger" />
+                    <div>
+                      {t("streaming.restreaming.disabled", {
+                        ns: "components/dialog",
+                      })}
+                    </div>
+                    <Popover>
+                      <PopoverTrigger asChild>
+                        <div className="cursor-pointer p-0">
+                          <LuInfo className="size-4" />
+                          <span className="sr-only">
+                            {t("button.info", { ns: "common" })}
+                          </span>
+                        </div>
+                      </PopoverTrigger>
+                      <PopoverContent className="w-80 text-xs">
+                        {t("streaming.restreaming.desc.title", {
+                          ns: "components/dialog",
+                        })}
+                        <div className="mt-2 flex items-center text-primary">
+                          <Link
+                            to={getLocaleDocUrl("configuration/live")}
+                            target="_blank"
+                            rel="noopener noreferrer"
+                            className="inline"
+                          >
+                            {t(
+                              "streaming.restreaming.desc.readTheDocumentation",
+                              {
+                                ns: "components/dialog",
+                              },
+                            )}
+                            <LuExternalLink className="ml-2 inline-flex size-3" />
+                          </Link>
+                        </div>
+                      </PopoverContent>
+                    </Popover>
+                  </div>
+                </div>
+              )}
+              {isRestreamed &&
+                Object.values(camera.live.streams).length > 0 && (
+                  <div className="flex flex-col gap-1">
+                    <Label htmlFor="streaming-method">
+                      {t("stream.title")}
+                    </Label>
+                    <Select
+                      value={streamName}
+                      onValueChange={(value) => {
+                        setStreamName?.(value);
+                      }}
+                    >
+                      <SelectTrigger className="w-full">
+                        {Object.keys(camera.live.streams).find(
+                          (key) => camera.live.streams[key] === streamName,
+                        )}
+                      </SelectTrigger>
+
+                      <SelectContent>
+                        <SelectGroup>
+                          {Object.entries(camera.live.streams).map(
+                            ([stream, name]) => (
+                              <SelectItem
+                                key={stream}
+                                className="cursor-pointer"
+                                value={name}
+                              >
+                                {stream}
+                              </SelectItem>
+                            ),
+                          )}
+                        </SelectGroup>
+                      </SelectContent>
+                    </Select>
+
+                    {preferredLiveMode != "jsmpeg" && isRestreamed && (
+                      <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                        {supportsAudioOutput ? (
+                          <>
+                            <LuCheck className="size-4 text-success" />
+                            <div>{t("stream.audio.available")}</div>
+                          </>
+                        ) : (
+                          <>
+                            <LuX className="size-4 text-danger" />
+                            <div>{t("stream.audio.unavailable")}</div>
+                            <Popover>
+                              <PopoverTrigger asChild>
+                                <div className="cursor-pointer p-0">
+                                  <LuInfo className="size-4" />
+                                  <span className="sr-only">
+                                    {t("button.info", { ns: "common" })}
+                                  </span>
+                                </div>
+                              </PopoverTrigger>
+                              <PopoverContent className="w-80 text-xs">
+                                {t("stream.audio.tips.title")}
+                                <div className="mt-2 flex items-center text-primary">
+                                  <Link
+                                    to={getLocaleDocUrl("configuration/live")}
+                                    target="_blank"
+                                    rel="noopener noreferrer"
+                                    className="inline"
+                                  >
+                                    {t("stream.audio.tips.documentation")}
+                                    <LuExternalLink className="ml-2 inline-flex size-3" />
+                                  </Link>
+                                </div>
+                              </PopoverContent>
+                            </Popover>
+                          </>
+                        )}
+                      </div>
+                    )}
+                    {preferredLiveMode != "jsmpeg" &&
+                      isRestreamed &&
+                      supportsAudioOutput && (
+                        <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                          {supports2WayTalk ? (
+                            <>
+                              <LuCheck className="size-4 text-success" />
+                              <div>{t("stream.twoWayTalk.available")}</div>
+                            </>
+                          ) : (
+                            <>
+                              <LuX className="size-4 text-danger" />
+                              <div>{t("stream.twoWayTalk.unavailable")}</div>
+                              <Popover>
+                                <PopoverTrigger asChild>
+                                  <div className="cursor-pointer p-0">
+                                    <LuInfo className="size-4" />
+                                    <span className="sr-only">
+                                      {t("button.info", { ns: "common" })}
+                                    </span>
+                                  </div>
+                                </PopoverTrigger>
+                                <PopoverContent className="w-80 text-xs">
+                                  {t("stream.twoWayTalk.tips")}
+                                  <div className="mt-2 flex items-center text-primary">
+                                    <Link
+                                      to={getLocaleDocUrl(
+                                        "configuration/live/#webrtc-extra-configuration",
+                                      )}
+                                      target="_blank"
+                                      rel="noopener noreferrer"
+                                      className="inline"
+                                    >
+                                      {t(
+                                        "stream.twoWayTalk.tips.documentation",
+                                      )}
+                                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                                    </Link>
+                                  </div>
+                                </PopoverContent>
+                              </Popover>
+                            </>
+                          )}
+                        </div>
+                      )}
+
+                    {preferredLiveMode == "jsmpeg" && isRestreamed && (
+                      <div className="flex flex-col items-center gap-3">
+                        <div className="flex flex-row items-center gap-2">
+                          <IoIosWarning className="mr-1 size-8 text-danger" />
+
+                          <p className="text-sm">
+                            {t("stream.lowBandwidth.tips")}
+                          </p>
+                        </div>
+                        <Button
+                          className={`flex items-center gap-2.5 rounded-lg`}
+                          aria-label={t("stream.lowBandwidth.resetStream")}
+                          variant="outline"
+                          size="sm"
+                          onClick={() => setLowBandwidth(false)}
+                        >
+                          <MdOutlineRestartAlt className="size-5 text-primary-variant" />
+                          <div className="text-primary-variant">
+                            {t("stream.lowBandwidth.resetStream")}
+                          </div>
+                        </Button>
+                      </div>
+                    )}
+                  </div>
+                )}
+              {isRestreamed && (
+                <div className="flex flex-col gap-1">
+                  <div className="flex items-center justify-between">
+                    <Label
+                      className="mx-0 cursor-pointer text-primary"
+                      htmlFor="backgroundplay"
+                    >
+                      {t("stream.playInBackground.label")}
+                    </Label>
+                    <Switch
+                      className="ml-1"
+                      id="backgroundplay"
+                      checked={playInBackground}
+                      onCheckedChange={(checked) =>
+                        setPlayInBackground(checked)
+                      }
+                    />
+                  </div>
+                  <p className="text-sm text-muted-foreground">
+                    {t("stream.playInBackground.tips")}
+                  </p>
+                </div>
+              )}
+              <div className="flex flex-col gap-1">
+                <div className="flex items-center justify-between">
+                  <Label
+                    className="mx-0 cursor-pointer text-primary"
+                    htmlFor="showstats"
+                  >
+                    {t("streaming.showStats.label", {
+                      ns: "components/dialog",
+                    })}
+                  </Label>
+                  <Switch
+                    className="ml-1"
+                    id="showstats"
+                    checked={showStats}
+                    onCheckedChange={(checked) => setShowStats(checked)}
+                  />
+                </div>
+                <p className="text-sm text-muted-foreground">
+                  {t("streaming.showStats.desc", {
+                    ns: "components/dialog",
+                  })}
+                </p>
+              </div>
+              <div
+                className="flex cursor-pointer flex-col gap-1"
+                onClick={() =>
+                  navigate(`/settings?page=debug&camera=${camera.name}`)
+                }
+              >
+                <div className="flex items-center justify-between text-sm font-medium leading-none">
+                  {t("streaming.debugView", {
+                    ns: "components/dialog",
+                  })}
+                  <LuExternalLink className="ml-2 inline-flex size-5" />
+                </div>
+              </div>
+            </div>
+          </DropdownMenuContent>
+        </DropdownMenu>
       </>
     );
   }
@@ -905,47 +1516,300 @@ function FrigateCameraFeatures({
           variant="primary"
           Icon={FaCog}
           isActive={false}
-          title={`${camera} Settings`}
+          title={t("cameraSettings.title", { camera })}
         />
       </DrawerTrigger>
-      <DrawerContent className="flex flex-col gap-3 rounded-2xl px-2 py-4">
-        <FilterSwitch
-          label="Object Detection"
-          isChecked={detectState == "ON"}
-          onCheckedChange={() => sendDetect(detectState == "ON" ? "OFF" : "ON")}
-        />
-        {recordingEnabled && (
-          <FilterSwitch
-            label="Recording"
-            isChecked={recordState == "ON"}
-            onCheckedChange={() =>
-              sendRecord(recordState == "ON" ? "OFF" : "ON")
-            }
-          />
-        )}
-        <FilterSwitch
-          label="Snapshots"
-          isChecked={snapshotState == "ON"}
-          onCheckedChange={() =>
-            sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")
-          }
-        />
-        {audioDetectEnabled && (
-          <FilterSwitch
-            label="Audio Detection"
-            isChecked={audioState == "ON"}
-            onCheckedChange={() => sendAudio(audioState == "ON" ? "OFF" : "ON")}
-          />
-        )}
-        {autotrackingEnabled && (
-          <FilterSwitch
-            label="Autotracking"
-            isChecked={autotrackingState == "ON"}
-            onCheckedChange={() =>
-              sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
-            }
-          />
-        )}
+      <DrawerContent className="rounded-2xl px-2 py-4">
+        <div className="mt-2 flex flex-col gap-2">
+          {isAdmin && (
+            <>
+              <FilterSwitch
+                label={t("cameraSettings.cameraEnabled")}
+                isChecked={enabledState == "ON"}
+                onCheckedChange={() =>
+                  sendEnabled(enabledState == "ON" ? "OFF" : "ON")
+                }
+              />
+              <FilterSwitch
+                label={t("cameraSettings.objectDetection")}
+                isChecked={detectState == "ON"}
+                onCheckedChange={() =>
+                  sendDetect(detectState == "ON" ? "OFF" : "ON")
+                }
+              />
+              {recordingEnabled && (
+                <FilterSwitch
+                  label={t("cameraSettings.recording")}
+                  isChecked={recordState == "ON"}
+                  onCheckedChange={() =>
+                    sendRecord(recordState == "ON" ? "OFF" : "ON")
+                  }
+                />
+              )}
+              <FilterSwitch
+                label={t("cameraSettings.snapshots")}
+                isChecked={snapshotState == "ON"}
+                onCheckedChange={() =>
+                  sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")
+                }
+              />
+              {audioDetectEnabled && (
+                <FilterSwitch
+                  label={t("cameraSettings.audioDetection")}
+                  isChecked={audioState == "ON"}
+                  onCheckedChange={() =>
+                    sendAudio(audioState == "ON" ? "OFF" : "ON")
+                  }
+                />
+              )}
+              {autotrackingEnabled && (
+                <FilterSwitch
+                  label={t("cameraSettings.autotracking")}
+                  isChecked={autotrackingState == "ON"}
+                  onCheckedChange={() =>
+                    sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
+                  }
+                />
+              )}
+            </>
+          )}
+        </div>
+
+        <div className="mt-3 flex flex-col gap-5">
+          {!isRestreamed && (
+            <div className="flex flex-col gap-2 p-2">
+              <Label>{t("stream.title")}</Label>
+              <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                <LuX className="size-4 text-danger" />
+                <div>
+                  {t("streaming.restreaming.disabled", {
+                    ns: "components/dialog",
+                  })}
+                </div>
+                <Popover>
+                  <PopoverTrigger asChild>
+                    <div className="cursor-pointer p-0">
+                      <LuInfo className="size-4" />
+                      <span className="sr-only">
+                        {t("button.info", { ns: "common" })}
+                      </span>
+                    </div>
+                  </PopoverTrigger>
+                  <PopoverContent className="w-80 text-xs">
+                    {t("streaming.restreaming.desc.title", {
+                      ns: "components/dialog",
+                    })}
+                    <div className="mt-2 flex items-center text-primary">
+                      <Link
+                        to={getLocaleDocUrl("configuration/live")}
+                        target="_blank"
+                        rel="noopener noreferrer"
+                        className="inline"
+                      >
+                        {t("streaming.restreaming.desc.readTheDocumentation", {
+                          ns: "components/dialog",
+                        })}
+                        <LuExternalLink className="ml-2 inline-flex size-3" />
+                      </Link>
+                    </div>
+                  </PopoverContent>
+                </Popover>
+              </div>
+            </div>
+          )}
+          {isRestreamed && Object.values(camera.live.streams).length > 0 && (
+            <div className="mt-1 p-2">
+              <div className="mb-1 text-sm">{t("stream.title")}</div>
+              <Select
+                value={streamName}
+                onValueChange={(value) => {
+                  setStreamName?.(value);
+                }}
+              >
+                <SelectTrigger className="w-full">
+                  {Object.keys(camera.live.streams).find(
+                    (key) => camera.live.streams[key] === streamName,
+                  )}
+                </SelectTrigger>
+
+                <SelectContent>
+                  <SelectGroup>
+                    {Object.entries(camera.live.streams).map(
+                      ([stream, name]) => (
+                        <SelectItem
+                          key={stream}
+                          className="cursor-pointer"
+                          value={name}
+                        >
+                          {stream}
+                        </SelectItem>
+                      ),
+                    )}
+                  </SelectGroup>
+                </SelectContent>
+              </Select>
+              {preferredLiveMode != "jsmpeg" && isRestreamed && (
+                <div className="mt-1 flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                  {supportsAudioOutput ? (
+                    <>
+                      <LuCheck className="size-4 text-success" />
+                      <div>{t("stream.audio.available")}</div>
+                    </>
+                  ) : (
+                    <>
+                      <LuX className="size-4 text-danger" />
+                      <div>{t("stream.audio.unavailable")}</div>
+                      <Popover>
+                        <PopoverTrigger asChild>
+                          <div className="cursor-pointer p-0">
+                            <LuInfo className="size-4" />
+                            <span className="sr-only">
+                              {t("button.info", { ns: "common" })}
+                            </span>
+                          </div>
+                        </PopoverTrigger>
+                        <PopoverContent className="w-52 text-xs">
+                          {t("stream.audio.tips.title")}
+                          <div className="mt-2 flex items-center text-primary">
+                            <Link
+                              to={getLocaleDocUrl("configuration/live")}
+                              target="_blank"
+                              rel="noopener noreferrer"
+                              className="inline"
+                            >
+                              {t("stream.audio.tips.documentation")}
+                              <LuExternalLink className="ml-2 inline-flex size-3" />
+                            </Link>
+                          </div>
+                        </PopoverContent>
+                      </Popover>
+                    </>
+                  )}
+                </div>
+              )}
+              {preferredLiveMode != "jsmpeg" &&
+                isRestreamed &&
+                supportsAudioOutput && (
+                  <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                    {supports2WayTalk ? (
+                      <>
+                        <LuCheck className="size-4 text-success" />
+                        <div>{t("stream.twoWayTalk.available")}</div>
+                      </>
+                    ) : (
+                      <>
+                        <LuX className="size-4 text-danger" />
+                        <div>{t("stream.twoWayTalk.unavailable")}</div>
+                        <Popover>
+                          <PopoverTrigger asChild>
+                            <div className="cursor-pointer p-0">
+                              <LuInfo className="size-4" />
+                              <span className="sr-only">
+                                {t("button.info", { ns: "common" })}
+                              </span>
+                            </div>
+                          </PopoverTrigger>
+                          <PopoverContent className="w-52 text-xs">
+                            {t("stream.twoWayTalk.tips")}
+                            <div className="mt-2 flex items-center text-primary">
+                              <Link
+                                to={getLocaleDocUrl(
+                                  "configuration/live/#webrtc-extra-configuration",
+                                )}
+                                target="_blank"
+                                rel="noopener noreferrer"
+                                className="inline"
+                              >
+                                {t("stream.twoWayTalk.tips.documentation")}
+                                <LuExternalLink className="ml-2 inline-flex size-3" />
+                              </Link>
+                            </div>
+                          </PopoverContent>
+                        </Popover>
+                      </>
+                    )}
+                  </div>
+                )}
+              {preferredLiveMode == "jsmpeg" && isRestreamed && (
+                <div className="mt-2 flex flex-col items-center gap-3">
+                  <div className="flex flex-row items-center gap-2">
+                    <IoIosWarning className="mr-1 size-8 text-danger" />
+
+                    <p className="text-sm">{t("stream.lowBandwidth.tips")}</p>
+                  </div>
+                  <Button
+                    className={`flex items-center gap-2.5 rounded-lg`}
+                    aria-label={t("stream.lowBandwidth.resetStream")}
+                    variant="outline"
+                    size="sm"
+                    onClick={() => setLowBandwidth(false)}
+                  >
+                    <MdOutlineRestartAlt className="size-5 text-primary-variant" />
+                    <div className="text-primary-variant">
+                      {t("stream.lowBandwidth.resetStream")}
+                    </div>
+                  </Button>
+                </div>
+              )}
+            </div>
+          )}
+          <div className="flex flex-col gap-1 px-2">
+            <div className="mb-1 text-sm font-medium leading-none">
+              {t("manualRecording.title")}
+            </div>
+            <Button
+              onClick={handleEventButtonClick}
+              className={cn(
+                "w-full",
+                isRecording && "animate-pulse bg-red-500 hover:bg-red-600",
+              )}
+            >
+              {t("manualRecording." + (isRecording ? "end" : "start"))}
+            </Button>
+            <p className="text-sm text-muted-foreground">
+              {t("manualRecording.tips")}
+            </p>
+          </div>
+          {isRestreamed && (
+            <>
+              <div className="flex flex-col gap-2">
+                <FilterSwitch
+                  label={t("manualRecording.playInBackground.label")}
+                  isChecked={playInBackground}
+                  onCheckedChange={(checked) => {
+                    setPlayInBackground(checked);
+                  }}
+                />
+                <p className="mx-2 -mt-2 text-sm text-muted-foreground">
+                  {t("manualRecording.playInBackground.desc")}
+                </p>
+              </div>
+              <div className="flex flex-col gap-2">
+                <FilterSwitch
+                  label={t("manualRecording.showStats.label")}
+                  isChecked={showStats}
+                  onCheckedChange={(checked) => {
+                    setShowStats(checked);
+                  }}
+                />
+                <p className="mx-2 -mt-2 text-sm text-muted-foreground">
+                  {t("manualRecording.showStats.desc")}
+                </p>
+              </div>
+            </>
+          )}
+          <div className="mb-3 flex flex-col gap-1 px-2">
+            <div className="flex items-center justify-between text-sm font-medium leading-none">
+              {t("manualRecording.debugView")}
+              <LuExternalLink
+                onClick={() =>
+                  navigate(`/settings?page=debug&camera=${camera.name}`)
+                }
+                className="ml-2 inline-flex size-5 cursor-pointer"
+              />
+            </div>
+          </div>
+        </div>
       </DrawerContent>
     </Drawer>
   );
diff --git a/web/src/views/live/LiveDashboardView.tsx b/web/src/views/live/LiveDashboardView.tsx
index 7642d5a0d..ddd6ccd51 100644
--- a/web/src/views/live/LiveDashboardView.tsx
+++ b/web/src/views/live/LiveDashboardView.tsx
@@ -14,7 +14,11 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { usePersistence } from "@/hooks/use-persistence";
-import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
+import {
+  AllGroupsStreamingSettings,
+  CameraConfig,
+  FrigateConfig,
+} from "@/types/frigateConfig";
 import { ReviewSegment } from "@/types/review";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import {
@@ -28,10 +32,18 @@ import DraggableGridLayout from "./DraggableGridLayout";
 import { IoClose } from "react-icons/io5";
 import { LuLayoutDashboard } from "react-icons/lu";
 import { cn } from "@/lib/utils";
-import { LivePlayerError } from "@/types/live";
+import {
+  AudioState,
+  LivePlayerError,
+  StatsState,
+  VolumeState,
+} from "@/types/live";
 import { FaCompress, FaExpand } from "react-icons/fa";
 import useCameraLiveMode from "@/hooks/use-camera-live-mode";
 import { useResizeObserver } from "@/hooks/resize-observer";
+import LiveContextMenu from "@/components/menu/LiveContextMenu";
+import { useStreamingSettings } from "@/context/streaming-settings-provider";
+import { useTranslation } from "react-i18next";
 
 type LiveDashboardViewProps = {
   cameras: CameraConfig[];
@@ -49,6 +61,8 @@ export default function LiveDashboardView({
   fullscreen,
   toggleFullscreen,
 }: LiveDashboardViewProps) {
+  const { t } = useTranslation(["views/live"]);
+
   const { data: config } = useSWR<FrigateConfig>("config");
 
   // layout
@@ -129,8 +143,6 @@ export default function LiveDashboardView({
 
   // camera live views
 
-  const [autoLiveView] = usePersistence("autoLiveView", true);
-
   const [{ height: containerHeight }] = useResizeObserver(containerRef);
 
   const hasScrollbar = useMemo(() => {
@@ -184,8 +196,24 @@ export default function LiveDashboardView({
     };
   }, []);
 
-  const { preferredLiveModes, setPreferredLiveModes, resetPreferredLiveMode } =
-    useCameraLiveMode(cameras, windowVisible);
+  const {
+    preferredLiveModes,
+    setPreferredLiveModes,
+    resetPreferredLiveMode,
+    isRestreamedStates,
+    supportsAudioOutputStates,
+  } = useCameraLiveMode(cameras, windowVisible);
+
+  const [globalAutoLive] = usePersistence("autoLiveView", true);
+
+  const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
+    useStreamingSettings();
+
+  const currentGroupStreamingSettings = useMemo(() => {
+    if (cameraGroup && cameraGroup != "default" && allGroupsStreamingSettings) {
+      return allGroupsStreamingSettings[cameraGroup];
+    }
+  }, [allGroupsStreamingSettings, cameraGroup]);
 
   const cameraRef = useCallback(
     (node: HTMLElement | null) => {
@@ -221,9 +249,108 @@ export default function LiveDashboardView({
     [setPreferredLiveModes],
   );
 
+  // audio states
+
+  const [audioStates, setAudioStates] = useState<AudioState>({});
+  const [volumeStates, setVolumeStates] = useState<VolumeState>({});
+  const [statsStates, setStatsStates] = useState<StatsState>({});
+
+  const toggleStats = (cameraName: string): void => {
+    setStatsStates((prev) => ({
+      ...prev,
+      [cameraName]: !prev[cameraName],
+    }));
+  };
+
+  useEffect(() => {
+    if (!allGroupsStreamingSettings) {
+      return;
+    }
+
+    const initialAudioStates: AudioState = {};
+    const initialVolumeStates: VolumeState = {};
+
+    Object.entries(allGroupsStreamingSettings).forEach(([_, groupSettings]) => {
+      if (groupSettings) {
+        Object.entries(groupSettings).forEach(([camera, cameraSettings]) => {
+          initialAudioStates[camera] = cameraSettings.playAudio ?? false;
+          initialVolumeStates[camera] = cameraSettings.volume ?? 1;
+        });
+      }
+    });
+
+    setAudioStates(initialAudioStates);
+    setVolumeStates(initialVolumeStates);
+  }, [allGroupsStreamingSettings]);
+
+  const toggleAudio = (cameraName: string): void => {
+    setAudioStates((prev) => ({
+      ...prev,
+      [cameraName]: !prev[cameraName],
+    }));
+  };
+
+  const onSaveMuting = useCallback(
+    (playAudio: boolean) => {
+      if (
+        !cameraGroup ||
+        !allGroupsStreamingSettings ||
+        cameraGroup == "default"
+      ) {
+        return;
+      }
+
+      const existingGroupSettings =
+        allGroupsStreamingSettings[cameraGroup] || {};
+
+      const updatedSettings: AllGroupsStreamingSettings = {
+        ...Object.fromEntries(
+          Object.entries(allGroupsStreamingSettings || {}).filter(
+            ([key]) => key !== cameraGroup,
+          ),
+        ),
+        [cameraGroup]: {
+          ...existingGroupSettings,
+          ...Object.fromEntries(
+            Object.entries(existingGroupSettings).map(
+              ([cameraName, settings]) => [
+                cameraName,
+                {
+                  ...settings,
+                  playAudio: playAudio,
+                },
+              ],
+            ),
+          ),
+        },
+      };
+
+      setAllGroupsStreamingSettings?.(updatedSettings);
+    },
+    [cameraGroup, allGroupsStreamingSettings, setAllGroupsStreamingSettings],
+  );
+
+  const muteAll = (): void => {
+    const updatedStates: Record<string, boolean> = {};
+    visibleCameras.forEach((cameraName) => {
+      updatedStates[cameraName] = false;
+    });
+    setAudioStates(updatedStates);
+    onSaveMuting(false);
+  };
+
+  const unmuteAll = (): void => {
+    const updatedStates: Record<string, boolean> = {};
+    visibleCameras.forEach((cameraName) => {
+      updatedStates[cameraName] = true;
+    });
+    setAudioStates(updatedStates);
+    onSaveMuting(true);
+  };
+
   return (
     <div
-      className="scrollbar-container size-full overflow-y-auto px-1 pt-2 md:p-2"
+      className="scrollbar-container size-full select-none overflow-y-auto px-1 pt-2 md:p-2"
       ref={containerRef}
     >
       {isMobile && (
@@ -345,21 +472,84 @@ export default function LiveDashboardView({
               } else {
                 grow = "aspect-video";
               }
+              const availableStreams = camera.live.streams || {};
+              const firstStreamEntry = Object.values(availableStreams)[0] || "";
+
+              const streamNameFromSettings =
+                currentGroupStreamingSettings?.[camera.name]?.streamName || "";
+              const streamExists =
+                streamNameFromSettings &&
+                Object.values(availableStreams).includes(
+                  streamNameFromSettings,
+                );
+
+              const streamName = streamExists
+                ? streamNameFromSettings
+                : firstStreamEntry;
+              const streamType =
+                currentGroupStreamingSettings?.[camera.name]?.streamType;
+              const autoLive =
+                streamType !== undefined
+                  ? streamType !== "no-streaming"
+                  : undefined;
+              const showStillWithoutActivity =
+                currentGroupStreamingSettings?.[camera.name]?.streamType !==
+                "continuous";
+              const useWebGL =
+                currentGroupStreamingSettings?.[camera.name]
+                  ?.compatibilityMode || false;
               return (
-                <LivePlayer
-                  cameraRef={cameraRef}
+                <LiveContextMenu
+                  className={grow}
                   key={camera.name}
-                  className={`${grow} rounded-lg bg-black md:rounded-2xl`}
-                  windowVisible={
-                    windowVisible && visibleCameras.includes(camera.name)
-                  }
-                  cameraConfig={camera}
+                  camera={camera.name}
+                  cameraGroup={cameraGroup}
+                  streamName={streamName}
                   preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
-                  autoLive={autoLiveView}
-                  onClick={() => onSelectCamera(camera.name)}
-                  onError={(e) => handleError(camera.name, e)}
-                  onResetLiveMode={() => resetPreferredLiveMode(camera.name)}
-                />
+                  isRestreamed={isRestreamedStates[camera.name]}
+                  supportsAudio={
+                    supportsAudioOutputStates[streamName]?.supportsAudio ??
+                    false
+                  }
+                  audioState={audioStates[camera.name]}
+                  toggleAudio={() => toggleAudio(camera.name)}
+                  statsState={statsStates[camera.name]}
+                  toggleStats={() => toggleStats(camera.name)}
+                  volumeState={volumeStates[camera.name] ?? 1}
+                  setVolumeState={(value) =>
+                    setVolumeStates({
+                      [camera.name]: value,
+                    })
+                  }
+                  muteAll={muteAll}
+                  unmuteAll={unmuteAll}
+                  resetPreferredLiveMode={() =>
+                    resetPreferredLiveMode(camera.name)
+                  }
+                  config={config}
+                >
+                  <LivePlayer
+                    cameraRef={cameraRef}
+                    key={camera.name}
+                    className={`${grow} rounded-lg bg-black md:rounded-2xl`}
+                    windowVisible={
+                      windowVisible && visibleCameras.includes(camera.name)
+                    }
+                    cameraConfig={camera}
+                    preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
+                    autoLive={autoLive ?? globalAutoLive}
+                    showStillWithoutActivity={showStillWithoutActivity ?? true}
+                    useWebGL={useWebGL}
+                    playInBackground={false}
+                    showStats={statsStates[camera.name]}
+                    streamName={streamName}
+                    onClick={() => onSelectCamera(camera.name)}
+                    onError={(e) => handleError(camera.name, e)}
+                    onResetLiveMode={() => resetPreferredLiveMode(camera.name)}
+                    playAudio={audioStates[camera.name] ?? false}
+                    volume={volumeStates[camera.name]}
+                  />
+                </LiveContextMenu>
               );
             })}
           </div>
@@ -387,7 +577,9 @@ export default function LiveDashboardView({
                   </div>
                 </TooltipTrigger>
                 <TooltipContent>
-                  {fullscreen ? "Exit Fullscreen" : "Fullscreen"}
+                  {fullscreen
+                    ? t("button.exitFullscreen", { ns: "common" })
+                    : t("button.fullscreen", { ns: "common" })}
                 </TooltipContent>
               </Tooltip>
             </div>
diff --git a/web/src/views/recording/RecordingView.tsx b/web/src/views/recording/RecordingView.tsx
index 374201f7c..7cc06da41 100644
--- a/web/src/views/recording/RecordingView.tsx
+++ b/web/src/views/recording/RecordingView.tsx
@@ -15,6 +15,7 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { Preview } from "@/types/preview";
 import {
   MotionData,
+  RecordingsSummary,
   REVIEW_PADDING,
   ReviewFilter,
   ReviewSegment,
@@ -46,8 +47,14 @@ import { ASPECT_VERTICAL_LAYOUT, ASPECT_WIDE_LAYOUT } from "@/types/record";
 import { useResizeObserver } from "@/hooks/resize-observer";
 import { cn } from "@/lib/utils";
 import { useFullscreen } from "@/hooks/use-fullscreen";
-
-const SEGMENT_DURATION = 30;
+import { useTimezone } from "@/hooks/use-date-utils";
+import { useTimelineZoom } from "@/hooks/use-timeline-zoom";
+import { useTranslation } from "react-i18next";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
 
 type RecordingViewProps = {
   startCamera: string;
@@ -71,10 +78,23 @@ export function RecordingView({
   filter,
   updateFilter,
 }: RecordingViewProps) {
+  const { t } = useTranslation(["views/events"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const navigate = useNavigate();
   const contentRef = useRef<HTMLDivElement | null>(null);
 
+  // recordings summary
+
+  const timezone = useTimezone(config);
+
+  const { data: recordingsSummary } = useSWR<RecordingsSummary>([
+    "recordings/summary",
+    {
+      timezone: timezone,
+      cameras: allCameras.join(",") ?? null,
+    },
+  ]);
+
   // controller state
 
   const [mainCamera, setMainCamera] = useState(startCamera);
@@ -370,6 +390,55 @@ export function RecordingView({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [previewRowRef.current?.scrollWidth, previewRowRef.current?.scrollHeight]);
 
+  // visibility listener for lazy loading
+
+  const [visiblePreviews, setVisiblePreviews] = useState<string[]>([]);
+  const visiblePreviewObserver = useRef<IntersectionObserver | null>(null);
+  useEffect(() => {
+    const visibleCameras = new Set<string>();
+    visiblePreviewObserver.current = new IntersectionObserver(
+      (entries) => {
+        entries.forEach((entry) => {
+          const camera = (entry.target as HTMLElement).dataset.camera;
+
+          if (!camera) {
+            return;
+          }
+
+          if (entry.isIntersecting) {
+            visibleCameras.add(camera);
+          } else {
+            visibleCameras.delete(camera);
+          }
+
+          setVisiblePreviews([...visibleCameras]);
+        });
+      },
+      { threshold: 0.1 },
+    );
+
+    return () => {
+      visiblePreviewObserver.current?.disconnect();
+    };
+  }, []);
+
+  const previewRef = useCallback(
+    (node: HTMLElement | null) => {
+      if (!visiblePreviewObserver.current) {
+        return;
+      }
+
+      try {
+        if (node) visiblePreviewObserver.current.observe(node);
+      } catch (e) {
+        // no op
+      }
+    },
+    // we need to listen on the value of the ref
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [visiblePreviewObserver.current],
+  );
+
   return (
     <div ref={contentRef} className="flex size-full flex-col pt-2">
       <Toaster closeButton={true} />
@@ -380,12 +449,16 @@ export function RecordingView({
         <div className={cn("flex items-center gap-2")}>
           <Button
             className="flex items-center gap-2.5 rounded-lg"
-            aria-label="Go back"
+            aria-label={t("label.back", { ns: "common" })}
             size="sm"
             onClick={() => navigate(-1)}
           >
             <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-            {isDesktop && <div className="text-primary">Back</div>}
+            {isDesktop && (
+              <div className="text-primary">
+                {t("button.back", { ns: "common" })}
+              </div>
+            )}
           </Button>
           <Button
             className="flex items-center gap-2.5 rounded-lg"
@@ -396,7 +469,11 @@ export function RecordingView({
             }}
           >
             <FaVideo className="size-5 text-secondary-foreground" />
-            {isDesktop && <div className="text-primary">Live</div>}
+            {isDesktop && (
+              <div className="text-primary">
+                {t("menu.live.title", { ns: "common" })}
+              </div>
+            )}
           </Button>
         </div>
         <div className="flex items-center justify-end gap-2">
@@ -429,14 +506,30 @@ export function RecordingView({
           )}
           {isDesktop && (
             <ReviewFilterGroup
-              filters={["date", "general"]}
+              filters={["cameras", "date", "general"]}
               reviewSummary={reviewSummary}
+              recordingsSummary={recordingsSummary}
               filter={filter}
               motionOnly={false}
               filterList={reviewFilterList}
               showReviewed
               setShowReviewed={() => {}}
-              onUpdateFilter={updateFilter}
+              mainCamera={mainCamera}
+              onUpdateFilter={(newFilter: ReviewFilter) => {
+                const updatedCameras =
+                  newFilter.cameras === undefined
+                    ? undefined // Respect undefined as "all cameras"
+                    : newFilter.cameras
+                      ? Array.from(
+                          new Set([mainCamera, ...(newFilter.cameras || [])]),
+                        ) // Include mainCamera if specific cameras are selected
+                      : [mainCamera];
+                const adjustedFilter: ReviewFilter = {
+                  ...newFilter,
+                  cameras: updatedCameras,
+                };
+                updateFilter(adjustedFilter);
+              }}
               setMotionOnly={() => {}}
             />
           )}
@@ -453,16 +546,16 @@ export function RecordingView({
               <ToggleGroupItem
                 className={`${timelineType == "timeline" ? "" : "text-muted-foreground"}`}
                 value="timeline"
-                aria-label="Select timeline"
+                aria-label={t("timeline.aria")}
               >
-                <div className="">Timeline</div>
+                <div className="">{t("timeline")}</div>
               </ToggleGroupItem>
               <ToggleGroupItem
                 className={`${timelineType == "events" ? "" : "text-muted-foreground"}`}
                 value="events"
-                aria-label="Select events"
+                aria-label={t("events.aria")}
               >
-                <div className="">Events</div>
+                <div className="">{t("events.label")}</div>
               </ToggleGroupItem>
             </ToggleGroup>
           ) : (
@@ -476,6 +569,7 @@ export function RecordingView({
             filter={filter}
             currentTime={currentTime}
             latestTime={timeRange.before}
+            recordingsSummary={recordingsSummary}
             mode={exportMode}
             range={exportRange}
             showExportPreview={showExportPreview}
@@ -563,7 +657,7 @@ export function RecordingView({
                 containerRef={mainLayoutRef}
               />
             </div>
-            {isDesktop && (
+            {isDesktop && allCameras.length > 1 && (
               <div
                 ref={previewRowRef}
                 className={cn(
@@ -581,29 +675,37 @@ export function RecordingView({
                   }
 
                   return (
-                    <div
-                      key={cam}
-                      className={
-                        mainCameraAspect == "tall" ? "w-full" : "h-full"
-                      }
-                      style={{
-                        aspectRatio: getCameraAspect(cam),
-                      }}
-                    >
-                      <PreviewPlayer
-                        className="size-full"
-                        camera={cam}
-                        timeRange={currentTimeRange}
-                        cameraPreviews={allPreviews ?? []}
-                        startTime={startTime}
-                        isScrubbing={scrubbing}
-                        onControllerReady={(controller) => {
-                          previewRefs.current[cam] = controller;
-                          controller.scrubToTimestamp(startTime);
-                        }}
-                        onClick={() => onSelectCamera(cam)}
-                      />
-                    </div>
+                    <Tooltip key={cam}>
+                      <TooltipTrigger asChild>
+                        <div
+                          className={
+                            mainCameraAspect == "tall" ? "w-full" : "h-full"
+                          }
+                          style={{
+                            aspectRatio: getCameraAspect(cam),
+                          }}
+                        >
+                          <PreviewPlayer
+                            previewRef={previewRef}
+                            className="size-full"
+                            camera={cam}
+                            timeRange={currentTimeRange}
+                            cameraPreviews={allPreviews ?? []}
+                            startTime={startTime}
+                            isScrubbing={scrubbing}
+                            isVisible={visiblePreviews.includes(cam)}
+                            onControllerReady={(controller) => {
+                              previewRefs.current[cam] = controller;
+                              controller.scrubToTimestamp(startTime);
+                            }}
+                            onClick={() => onSelectCamera(cam)}
+                          />
+                        </div>
+                      </TooltipTrigger>
+                      <TooltipContent className="smart-capitalize">
+                        {cam.replaceAll("_", " ")}
+                      </TooltipContent>
+                    </Tooltip>
                   );
                 })}
                 <div className="w-2" />
@@ -633,6 +735,7 @@ export function RecordingView({
 
 type TimelineProps = {
   contentRef: MutableRefObject<HTMLDivElement | null>;
+  timelineRef?: MutableRefObject<HTMLDivElement | null>;
   mainCamera: string;
   timelineType: TimelineType;
   timeRange: TimeRange;
@@ -646,6 +749,7 @@ type TimelineProps = {
 };
 function Timeline({
   contentRef,
+  timelineRef,
   mainCamera,
   timelineType,
   timeRange,
@@ -657,12 +761,49 @@ function Timeline({
   setScrubbing,
   setExportRange,
 }: TimelineProps) {
-  const { data: motionData } = useSWR<MotionData[]>([
+  const { t } = useTranslation(["views/events"]);
+  const internalTimelineRef = useRef<HTMLDivElement>(null);
+  const selectedTimelineRef = timelineRef || internalTimelineRef;
+
+  // timeline interaction
+
+  const [zoomSettings, setZoomSettings] = useState({
+    segmentDuration: 30,
+    timestampSpread: 15,
+  });
+
+  const possibleZoomLevels = useMemo(
+    () => [
+      { segmentDuration: 30, timestampSpread: 15 },
+      { segmentDuration: 15, timestampSpread: 5 },
+      { segmentDuration: 5, timestampSpread: 1 },
+    ],
+    [],
+  );
+
+  const handleZoomChange = useCallback(
+    (newZoomLevel: number) => {
+      setZoomSettings(possibleZoomLevels[newZoomLevel]);
+    },
+    [possibleZoomLevels],
+  );
+
+  const { isZooming, zoomDirection } = useTimelineZoom({
+    zoomSettings,
+    zoomLevels: possibleZoomLevels,
+    onZoomChange: handleZoomChange,
+    timelineRef: selectedTimelineRef,
+    timelineDuration: timeRange.after - timeRange.before,
+  });
+
+  // motion data
+
+  const { data: motionData, isLoading } = useSWR<MotionData[]>([
     "review/activity/motion",
     {
       before: timeRange.before,
       after: timeRange.after,
-      scale: SEGMENT_DURATION / 2,
+      scale: Math.round(zoomSettings.segmentDuration / 2),
       cameras: mainCamera,
     },
   ]);
@@ -689,16 +830,17 @@ function Timeline({
       className={`${
         isDesktop
           ? `${timelineType == "timeline" ? "w-[100px]" : "w-60"} no-scrollbar overflow-y-auto`
-          : "overflow-hidden portrait:flex-grow landscape:w-[20%]"
+          : `overflow-hidden portrait:flex-grow ${timelineType == "timeline" ? "landscape:w-[100px]" : "landscape:w-[175px]"} `
       } relative`}
     >
       <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
       <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
       {timelineType == "timeline" ? (
-        motionData ? (
+        !isLoading ? (
           <MotionReviewTimeline
-            segmentDuration={30}
-            timestampSpread={15}
+            timelineRef={selectedTimelineRef}
+            segmentDuration={zoomSettings.segmentDuration}
+            timestampSpread={zoomSettings.timestampSpread}
             timelineStart={timeRange.before}
             timelineEnd={timeRange.after}
             showHandlebar={exportRange == undefined}
@@ -711,9 +853,10 @@ function Timeline({
             setHandlebarTime={setCurrentTime}
             events={mainCameraReviewItems}
             motion_events={motionData ?? []}
-            severityType="significant_motion"
             contentRef={contentRef}
             onHandlebarDraggingChange={(scrubbing) => setScrubbing(scrubbing)}
+            isZooming={isZooming}
+            zoomDirection={zoomDirection}
           />
         ) : (
           <Skeleton className="size-full" />
@@ -723,12 +866,12 @@ function Timeline({
           <div
             className={cn(
               "scrollbar-container grid h-auto grid-cols-1 gap-4 overflow-auto p-4",
-              isMobile && "sm:grid-cols-2",
+              isMobile && "sm:portrait:grid-cols-2",
             )}
           >
             {mainCameraReviewItems.length === 0 ? (
               <div className="mt-5 text-center text-primary">
-                No events found for this time period.
+                {t("events.noFoundForTimePeriod")}
               </div>
             ) : (
               mainCameraReviewItems.map((review) => {
diff --git a/web/src/views/search/SearchView.tsx b/web/src/views/search/SearchView.tsx
index e3995d7d9..d72d3dbf4 100644
--- a/web/src/views/search/SearchView.tsx
+++ b/web/src/views/search/SearchView.tsx
@@ -22,7 +22,7 @@ import { ScrollArea, ScrollBar } from "@/components/ui/scroll-area";
 import { isEqual } from "lodash";
 import { formatDateToLocaleString } from "@/utils/dateUtil";
 import SearchThumbnailFooter from "@/components/card/SearchThumbnailFooter";
-import SearchSettings from "@/components/settings/SearchSettings";
+import ExploreSettings from "@/components/settings/SearchSettings";
 import {
   Tooltip,
   TooltipContent,
@@ -31,6 +31,7 @@ import {
 import Chip from "@/components/indicators/Chip";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import SearchActionGroup from "@/components/filter/SearchActionGroup";
+import { Trans, useTranslation } from "react-i18next";
 
 type SearchViewProps = {
   search: string;
@@ -70,6 +71,7 @@ export default function SearchView({
   setColumns,
   setDefaultView,
 }: SearchViewProps) {
+  const { t } = useTranslation(["views/explore"]);
   const contentRef = useRef<HTMLDivElement | null>(null);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
@@ -105,7 +107,13 @@ export default function SearchView({
       if (camera == "birdseye") {
         return;
       }
+
       const cameraConfig = config.cameras[camera];
+
+      if (!cameraConfig) {
+        return;
+      }
+
       cameraConfig.objects.track.forEach((label) => {
         labels.add(label);
       });
@@ -121,6 +129,9 @@ export default function SearchView({
   }, [config, searchFilter]);
 
   const { data: allSubLabels } = useSWR("sub_labels");
+  const { data: allRecognizedLicensePlates } = useSWR(
+    "recognized_license_plates",
+  );
 
   const allZones = useMemo<string[]>(() => {
     if (!config) {
@@ -134,7 +145,13 @@ export default function SearchView({
       if (camera == "birdseye") {
         return;
       }
+
       const cameraConfig = config.cameras[camera];
+
+      if (!cameraConfig) {
+        return;
+      }
+
       Object.entries(cameraConfig.zones).map(([name, _]) => {
         zones.add(name);
       });
@@ -158,12 +175,22 @@ export default function SearchView({
       after: [formatDateToLocaleString(-5)],
       min_score: ["50"],
       max_score: ["100"],
+      min_speed: ["1"],
+      max_speed: ["150"],
+      recognized_license_plate: allRecognizedLicensePlates,
       has_clip: ["yes", "no"],
       has_snapshot: ["yes", "no"],
       ...(config?.plus?.enabled &&
         searchFilter?.has_snapshot && { is_submitted: ["yes", "no"] }),
     }),
-    [config, allLabels, allZones, allSubLabels, searchFilter],
+    [
+      config,
+      allLabels,
+      allZones,
+      allSubLabels,
+      allRecognizedLicensePlates,
+      searchFilter,
+    ],
   );
 
   // remove duplicate event ids
@@ -482,7 +509,7 @@ export default function SearchView({
                     filter={searchFilter}
                     onUpdateFilter={onUpdateFilter}
                   />
-                  <SearchSettings
+                  <ExploreSettings
                     columns={columns}
                     setColumns={setColumns}
                     defaultView={defaultView}
@@ -518,7 +545,7 @@ export default function SearchView({
         {uniqueResults?.length == 0 && !isLoading && (
           <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
             <LuSearchX className="size-16" />
-            No Tracked Objects Found
+            {t("noTrackedObjects")}
           </div>
         )}
 
@@ -570,7 +597,7 @@ export default function SearchView({
                           <Tooltip>
                             <TooltipTrigger>
                               <Chip
-                                className={`flex select-none items-center justify-between space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs capitalize text-white`}
+                                className={`flex select-none items-center justify-between space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs text-white smart-capitalize`}
                               >
                                 {value.search_source == "thumbnail" ? (
                                   <LuImage className="size-3" />
@@ -581,8 +608,21 @@ export default function SearchView({
                             </TooltipTrigger>
                             <TooltipPortal>
                               <TooltipContent>
-                                Matched {value.search_source} at{" "}
-                                {zScoreToConfidence(value.search_distance)}%
+                                <Trans
+                                  ns="views/explore"
+                                  values={{
+                                    type: t(
+                                      "filter.searchType." +
+                                        value.search_source,
+                                      { ns: "views/search" },
+                                    ),
+                                    confidence: zScoreToConfidence(
+                                      value.search_distance,
+                                    ),
+                                  }}
+                                >
+                                  searchResult.tooltip
+                                </Trans>
                               </TooltipContent>
                             </TooltipPortal>
                           </Tooltip>
@@ -603,7 +643,7 @@ export default function SearchView({
                         }}
                         refreshResults={refresh}
                         showObjectLifecycle={() =>
-                          onSelectSearch(value, false, "object lifecycle")
+                          onSelectSearch(value, false, "object_lifecycle")
                         }
                         showSnapshot={() =>
                           onSelectSearch(value, false, "snapshot")
diff --git a/web/src/views/settings/AuthenticationView.tsx b/web/src/views/settings/AuthenticationView.tsx
index 1c6df5c52..aa71e763c 100644
--- a/web/src/views/settings/AuthenticationView.tsx
+++ b/web/src/views/settings/AuthenticationView.tsx
@@ -11,163 +11,375 @@ import axios from "axios";
 import CreateUserDialog from "@/components/overlay/CreateUserDialog";
 import { toast } from "sonner";
 import DeleteUserDialog from "@/components/overlay/DeleteUserDialog";
-import { Card } from "@/components/ui/card";
 import { HiTrash } from "react-icons/hi";
 import { FaUserEdit } from "react-icons/fa";
-import { LuPlus } from "react-icons/lu";
+
+import { LuPlus, LuShield, LuUserCog } from "react-icons/lu";
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+import { Badge } from "@/components/ui/badge";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import RoleChangeDialog from "@/components/overlay/RoleChangeDialog";
+import { useTranslation } from "react-i18next";
 
 export default function AuthenticationView() {
+  const { t } = useTranslation("views/settings");
   const { data: config } = useSWR<FrigateConfig>("config");
   const { data: users, mutate: mutateUsers } = useSWR<User[]>("users");
 
   const [showSetPassword, setShowSetPassword] = useState(false);
   const [showCreate, setShowCreate] = useState(false);
   const [showDelete, setShowDelete] = useState(false);
+  const [showRoleChange, setShowRoleChange] = useState(false);
 
   const [selectedUser, setSelectedUser] = useState<string>();
+  const [selectedUserRole, setSelectedUserRole] = useState<
+    "admin" | "viewer"
+  >();
 
   useEffect(() => {
-    document.title = "Authentication Settings - Frigate";
-  }, []);
+    document.title = t("documentTitle.authentication");
+  }, [t]);
 
-  const onSavePassword = useCallback((user: string, password: string) => {
+  const onSavePassword = useCallback(
+    (user: string, password: string) => {
+      axios
+        .put(`users/${user}/password`, { password })
+        .then((response) => {
+          if (response.status === 200) {
+            setShowSetPassword(false);
+            toast.success(t("users.toast.success.updatePassword"), {
+              position: "top-center",
+            });
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("users.toast.error.setPasswordFailed", {
+              errorMessage,
+            }),
+            {
+              position: "top-center",
+            },
+          );
+        });
+    },
+    [t],
+  );
+
+  const onCreate = (
+    user: string,
+    password: string,
+    role: "admin" | "viewer",
+  ) => {
     axios
-      .put(`users/${user}/password`, {
-        password: password,
-      })
+      .post("users", { username: user, password, role })
       .then((response) => {
-        if (response.status == 200) {
-          setShowSetPassword(false);
+        if (response.status === 200 || response.status === 201) {
+          setShowCreate(false);
+          mutateUsers((users) => {
+            users?.push({ username: user, role: role });
+            return users;
+          }, false);
+          toast.success(t("users.toast.success.createUser", { user }), {
+            position: "top-center",
+          });
         }
       })
-      .catch((_error) => {
-        toast.error("Error setting password", {
-          position: "top-center",
-        });
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("users.toast.error.createUserFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
       });
-  }, []);
-
-  const onCreate = async (user: string, password: string) => {
-    try {
-      await axios.post("users", {
-        username: user,
-        password: password,
-      });
-      setShowCreate(false);
-      mutateUsers((users) => {
-        users?.push({ username: user });
-        return users;
-      }, false);
-    } catch (error) {
-      toast.error("Error creating user. Check server logs.", {
-        position: "top-center",
-      });
-    }
   };
 
-  const onDelete = async (user: string) => {
-    try {
-      await axios.delete(`users/${user}`);
-      setShowDelete(false);
-      mutateUsers((users) => {
-        return users?.filter((u) => {
-          return u.username !== user;
-        });
-      }, false);
-    } catch (error) {
-      toast.error("Error deleting user. Check server logs.", {
-        position: "top-center",
+  const onDelete = (user: string) => {
+    axios
+      .delete(`users/${user}`)
+      .then((response) => {
+        if (response.status === 200) {
+          setShowDelete(false);
+          mutateUsers(
+            (users) => users?.filter((u) => u.username !== user),
+            false,
+          );
+          toast.success(t("users.toast.success.deleteUser", { user }), {
+            position: "top-center",
+          });
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("users.toast.error.deleteUserFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
+      });
+  };
+
+  const onChangeRole = (user: string, newRole: "admin" | "viewer") => {
+    if (user === "admin") return; // Prevent role change for 'admin'
+
+    axios
+      .put(`users/${user}/role`, { role: newRole })
+      .then((response) => {
+        if (response.status === 200) {
+          setShowRoleChange(false);
+          mutateUsers(
+            (users) =>
+              users?.map((u) =>
+                u.username === user ? { ...u, role: newRole } : u,
+              ),
+            false,
+          );
+          toast.success(t("users.toast.success.roleUpdated", { user }), {
+            position: "top-center",
+          });
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("users.toast.error.roleUpdateFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
       });
-    }
   };
 
   if (!config || !users) {
-    return <ActivityIndicator />;
+    return (
+      <div className="flex h-full w-full items-center justify-center">
+        <ActivityIndicator />
+      </div>
+    );
   }
 
   return (
     <div className="flex size-full flex-col md:flex-row">
       <Toaster position="top-center" closeButton={true} />
       <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
-        <div className="flex flex-row items-center justify-between gap-2">
-          <Heading as="h3" className="my-2">
-            Users
-          </Heading>
+        <div className="mb-5 flex flex-row items-center justify-between gap-2">
+          <div className="flex flex-col items-start">
+            <Heading as="h3" className="my-2">
+              {t("users.management.title")}
+            </Heading>
+            <p className="text-sm text-muted-foreground">
+              {t("users.management.desc")}
+            </p>
+          </div>
           <Button
-            className="flex items-center gap-1"
-            aria-label="Add a new user"
+            className="flex items-center gap-2 self-start sm:self-auto"
+            aria-label={t("users.addUser")}
             variant="default"
-            onClick={() => {
-              setShowCreate(true);
-            }}
+            onClick={() => setShowCreate(true)}
           >
-            <LuPlus className="text-secondary-foreground" />
-            Add User
+            <LuPlus className="size-4" />
+            {t("users.addUser")}
           </Button>
         </div>
-        <div className="mt-3 space-y-3">
-          {users.map((u) => (
-            <Card key={u.username} className="mb-1 p-2">
-              <div className="flex items-center gap-3">
-                <div className="ml-3 flex flex-none shrink overflow-hidden text-ellipsis align-middle text-lg">
-                  {u.username}
-                </div>
-                <div className="flex flex-1 justify-end space-x-2">
-                  <Button
-                    className="flex items-center gap-1"
-                    aria-label="Update the user's password"
-                    variant="secondary"
-                    onClick={() => {
-                      setShowSetPassword(true);
-                      setSelectedUser(u.username);
-                    }}
-                  >
-                    <FaUserEdit />
-                    <div className="hidden md:block">Update Password</div>
-                  </Button>
-                  <Button
-                    className="flex items-center gap-1"
-                    aria-label="Delete the user"
-                    variant="destructive"
-                    onClick={() => {
-                      setShowDelete(true);
-                      setSelectedUser(u.username);
-                    }}
-                  >
-                    <HiTrash />
-                    <div className="hidden md:block">Delete</div>
-                  </Button>
-                </div>
-              </div>
-            </Card>
-          ))}
+        <div className="mb-6 flex flex-col gap-2 sm:flex-row sm:items-center sm:justify-between">
+          <div className="scrollbar-container flex-1 overflow-hidden rounded-lg border border-border bg-background_alt">
+            <div className="h-full overflow-auto">
+              <Table>
+                <TableHeader className="sticky top-0 bg-muted/50">
+                  <TableRow>
+                    <TableHead className="w-[250px]">
+                      {t("users.table.username")}
+                    </TableHead>
+                    <TableHead>{t("users.table.role")}</TableHead>
+                    <TableHead className="text-right">
+                      {t("users.table.actions")}
+                    </TableHead>
+                  </TableRow>
+                </TableHeader>
+                <TableBody>
+                  {users.length === 0 ? (
+                    <TableRow>
+                      <TableCell colSpan={3} className="h-24 text-center">
+                        {t("users.table.noUsers")}
+                      </TableCell>
+                    </TableRow>
+                  ) : (
+                    users.map((user) => (
+                      <TableRow key={user.username} className="group">
+                        <TableCell className="font-medium">
+                          <div className="flex items-center gap-2">
+                            {user.username === "admin" ? (
+                              <LuShield className="size-4 text-primary" />
+                            ) : (
+                              <LuUserCog className="size-4 text-primary-variant" />
+                            )}
+                            {user.username}
+                          </div>
+                        </TableCell>
+                        <TableCell>
+                          <Badge
+                            variant={
+                              user.role === "admin" ? "default" : "outline"
+                            }
+                            className={
+                              user.role === "admin"
+                                ? "bg-primary/20 text-primary hover:bg-primary/30"
+                                : ""
+                            }
+                          >
+                            {t("role." + (user.role || "viewer"), {
+                              ns: "common",
+                            })}
+                          </Badge>
+                        </TableCell>
+                        <TableCell className="text-right">
+                          <TooltipProvider>
+                            <div className="flex items-center justify-end gap-2">
+                              {user.username !== "admin" && (
+                                <Tooltip>
+                                  <TooltipTrigger asChild>
+                                    <Button
+                                      size="sm"
+                                      variant="outline"
+                                      className="h-8 px-2"
+                                      onClick={() => {
+                                        setSelectedUser(user.username);
+                                        setSelectedUserRole(
+                                          (user.role as "admin" | "viewer") ||
+                                            "viewer",
+                                        );
+                                        setShowRoleChange(true);
+                                      }}
+                                    >
+                                      <LuUserCog className="size-3.5" />
+                                      <span className="ml-1.5 hidden sm:inline-block">
+                                        {t("role.title", { ns: "common" })}
+                                      </span>
+                                    </Button>
+                                  </TooltipTrigger>
+                                  <TooltipContent>
+                                    <p>{t("users.table.changeRole")}</p>
+                                  </TooltipContent>
+                                </Tooltip>
+                              )}
+
+                              <Tooltip>
+                                <TooltipTrigger asChild>
+                                  <Button
+                                    size="sm"
+                                    variant="outline"
+                                    className="h-8 px-2"
+                                    onClick={() => {
+                                      setShowSetPassword(true);
+                                      setSelectedUser(user.username);
+                                    }}
+                                  >
+                                    <FaUserEdit className="size-3.5" />
+                                    <span className="ml-1.5 hidden sm:inline-block">
+                                      {t("users.table.password")}
+                                    </span>
+                                  </Button>
+                                </TooltipTrigger>
+                                <TooltipContent>
+                                  <p>{t("users.updatePassword")}</p>
+                                </TooltipContent>
+                              </Tooltip>
+
+                              {user.username !== "admin" && (
+                                <Tooltip>
+                                  <TooltipTrigger asChild>
+                                    <Button
+                                      size="sm"
+                                      variant="destructive"
+                                      className="h-8 px-2"
+                                      onClick={() => {
+                                        setShowDelete(true);
+                                        setSelectedUser(user.username);
+                                      }}
+                                    >
+                                      <HiTrash className="size-3.5" />
+                                      <span className="ml-1.5 hidden sm:inline-block">
+                                        {t("button.delete", { ns: "common" })}
+                                      </span>
+                                    </Button>
+                                  </TooltipTrigger>
+                                  <TooltipContent>
+                                    <p>{t("users.table.deleteUser")}</p>
+                                  </TooltipContent>
+                                </Tooltip>
+                              )}
+                            </div>
+                          </TooltipProvider>
+                        </TableCell>
+                      </TableRow>
+                    ))
+                  )}
+                </TableBody>
+              </Table>
+            </div>
+          </div>
         </div>
       </div>
+
       <SetPasswordDialog
         show={showSetPassword}
-        onCancel={() => {
-          setShowSetPassword(false);
-        }}
-        onSave={(password) => {
-          onSavePassword(selectedUser!, password);
-        }}
+        onCancel={() => setShowSetPassword(false)}
+        onSave={(password) => onSavePassword(selectedUser!, password)}
       />
       <DeleteUserDialog
         show={showDelete}
-        onCancel={() => {
-          setShowDelete(false);
-        }}
-        onDelete={() => {
-          onDelete(selectedUser!);
-        }}
+        username={selectedUser ?? "this user"}
+        onCancel={() => setShowDelete(false)}
+        onDelete={() => onDelete(selectedUser!)}
       />
       <CreateUserDialog
         show={showCreate}
         onCreate={onCreate}
-        onCancel={() => {
-          setShowCreate(false);
-        }}
+        onCancel={() => setShowCreate(false)}
       />
+      {selectedUser && selectedUserRole && (
+        <RoleChangeDialog
+          show={showRoleChange}
+          username={selectedUser}
+          currentRole={selectedUserRole}
+          onSave={(role) => onChangeRole(selectedUser, role)}
+          onCancel={() => setShowRoleChange(false)}
+        />
+      )}
     </div>
   );
 }
diff --git a/web/src/views/settings/CameraSettingsView.tsx b/web/src/views/settings/CameraSettingsView.tsx
index 30c6229e1..994936b8f 100644
--- a/web/src/views/settings/CameraSettingsView.tsx
+++ b/web/src/views/settings/CameraSettingsView.tsx
@@ -27,6 +27,12 @@ import { LuExternalLink } from "react-icons/lu";
 import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { MdCircle } from "react-icons/md";
 import { cn } from "@/lib/utils";
+import { Trans, useTranslation } from "react-i18next";
+import { Switch } from "@/components/ui/switch";
+import { Label } from "@/components/ui/label";
+import { useAlertsState, useDetectionsState, useEnabledState } from "@/api/ws";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type CameraSettingsViewProps = {
   selectedCamera: string;
@@ -42,6 +48,9 @@ export default function CameraSettingsView({
   selectedCamera,
   setUnsavedChanges,
 }: CameraSettingsViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
 
@@ -73,7 +82,7 @@ export default function CameraSettingsView({
   const alertsLabels = useMemo(() => {
     return cameraConfig?.review.alerts.labels
       ? cameraConfig.review.alerts.labels
-          .map((label) => label.replaceAll("_", " "))
+          .map((label) => getTranslatedLabel(label))
           .join(", ")
       : "";
   }, [cameraConfig]);
@@ -81,7 +90,7 @@ export default function CameraSettingsView({
   const detectionsLabels = useMemo(() => {
     return cameraConfig?.review.detections.labels
       ? cameraConfig.review.detections.labels
-          .map((label) => label.replaceAll("_", " "))
+          .map((label) => getTranslatedLabel(label))
           .join(", ")
       : "";
   }, [cameraConfig]);
@@ -105,6 +114,13 @@ export default function CameraSettingsView({
   const watchedAlertsZones = form.watch("alerts_zones");
   const watchedDetectionsZones = form.watch("detections_zones");
 
+  const { payload: enabledState, send: sendEnabled } =
+    useEnabledState(selectedCamera);
+  const { payload: alertsState, send: sendAlerts } =
+    useAlertsState(selectedCamera);
+  const { payload: detectionsState, send: sendDetections } =
+    useDetectionsState(selectedCamera);
+
   const handleCheckedChange = useCallback(
     (isChecked: boolean) => {
       if (!isChecked) {
@@ -147,30 +163,42 @@ export default function CameraSettingsView({
         })
         .then((res) => {
           if (res.status === 200) {
-            toast.success(
-              `Review classification configuration has been saved. Restart Frigate to apply changes.`,
+            toast.success(t("camera.reviewClassification.toast.success"), {
+              position: "top-center",
+            });
+            updateConfig();
+          } else {
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
               {
                 position: "top-center",
               },
             );
-            updateConfig();
-          } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
           setIsLoading(false);
         });
     },
-    [updateConfig, setIsLoading, selectedCamera, cameraConfig],
+    [updateConfig, setIsLoading, selectedCamera, cameraConfig, t],
   );
 
   const onCancel = useCallback(() => {
@@ -205,7 +233,9 @@ export default function CameraSettingsView({
     if (changedValue) {
       addMessage(
         "camera_settings",
-        `Unsaved review classification settings for ${capitalizeFirstLetter(selectedCamera)}`,
+        t("camera.reviewClassification.unsavedChanges", {
+          camera: selectedCamera,
+        }),
         undefined,
         `review_classification_settings_${selectedCamera}`,
       );
@@ -226,8 +256,8 @@ export default function CameraSettingsView({
   }
 
   useEffect(() => {
-    document.title = "Camera Settings - Frigate";
-  }, []);
+    document.title = t("documentTitle.camera");
+  }, [t]);
 
   if (!cameraConfig && !selectedCamera) {
     return <ActivityIndicator />;
@@ -239,31 +269,100 @@ export default function CameraSettingsView({
         <Toaster position="top-center" closeButton={true} />
         <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
           <Heading as="h3" className="my-2">
-            Camera Settings
+            <Trans ns="views/settings">camera.title</Trans>
           </Heading>
 
           <Separator className="my-2 flex bg-secondary" />
 
           <Heading as="h4" className="my-2">
-            Review Classification
+            <Trans ns="views/settings">camera.streams.title</Trans>
+          </Heading>
+
+          <div className="flex flex-row items-center">
+            <Switch
+              id="camera-enabled"
+              className="mr-3"
+              checked={enabledState === "ON"}
+              onCheckedChange={(isChecked) => {
+                sendEnabled(isChecked ? "ON" : "OFF");
+              }}
+            />
+            <div className="space-y-0.5">
+              <Label htmlFor="camera-enabled">
+                <Trans>button.enabled</Trans>
+              </Label>
+            </div>
+          </div>
+          <div className="mt-3 text-sm text-muted-foreground">
+            <Trans ns="views/settings">camera.streams.desc</Trans>
+          </div>
+          <Separator className="mb-2 mt-4 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            <Trans ns="views/settings">camera.review.title</Trans>
+          </Heading>
+
+          <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
+            <div className="flex flex-row items-center">
+              <Switch
+                id="alerts-enabled"
+                className="mr-3"
+                checked={alertsState == "ON"}
+                onCheckedChange={(isChecked) => {
+                  sendAlerts(isChecked ? "ON" : "OFF");
+                }}
+              />
+              <div className="space-y-0.5">
+                <Label htmlFor="alerts-enabled">
+                  <Trans ns="views/settings">camera.review.alerts</Trans>
+                </Label>
+              </div>
+            </div>
+            <div className="flex flex-col">
+              <div className="flex flex-row items-center">
+                <Switch
+                  id="detections-enabled"
+                  className="mr-3"
+                  checked={detectionsState == "ON"}
+                  onCheckedChange={(isChecked) => {
+                    sendDetections(isChecked ? "ON" : "OFF");
+                  }}
+                />
+                <div className="space-y-0.5">
+                  <Label htmlFor="detections-enabled">
+                    <Trans ns="views/settings">camera.review.detections</Trans>
+                  </Label>
+                </div>
+              </div>
+              <div className="mt-3 text-sm text-muted-foreground">
+                <Trans ns="views/settings">camera.review.desc</Trans>
+              </div>
+            </div>
+          </div>
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            <Trans ns="views/settings">camera.reviewClassification.title</Trans>
           </Heading>
 
           <div className="max-w-6xl">
             <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
               <p>
-                Frigate categorizes review items as Alerts and Detections. By
-                default, all <em>person</em> and <em>car</em> objects are
-                considered Alerts. You can refine categorization of your review
-                items by configuring required zones for them.
+                <Trans ns="views/settings">
+                  camera.reviewClassification.desc
+                </Trans>
               </p>
               <div className="flex items-center text-primary">
                 <Link
-                  to="https://docs.frigate.video/configuration/review"
+                  to={getLocaleDocUrl("configuration/review")}
                   target="_blank"
                   rel="noopener noreferrer"
                   className="inline"
                 >
-                  Read the Documentation{" "}
+                  <Trans ns="views/settings">
+                    camera.reviewClassification.readTheDocumentation
+                  </Trans>{" "}
                   <LuExternalLink className="ml-2 inline-flex size-3" />
                 </Link>
               </div>
@@ -292,11 +391,15 @@ export default function CameraSettingsView({
                         <>
                           <div className="mb-2">
                             <FormLabel className="flex flex-row items-center text-base">
-                              Alerts{" "}
+                              <Trans ns="views/settings">
+                                camera.review.alerts
+                              </Trans>
                               <MdCircle className="ml-3 size-2 text-severity_alert" />
                             </FormLabel>
                             <FormDescription>
-                              Select zones for Alerts
+                              <Trans ns="views/settings">
+                                camera.reviewClassification.selectAlertsZones
+                              </Trans>
                             </FormDescription>
                           </div>
                           <div className="max-w-md rounded-lg bg-secondary p-4 md:max-w-full">
@@ -333,7 +436,7 @@ export default function CameraSettingsView({
                                           }}
                                         />
                                       </FormControl>
-                                      <FormLabel className="font-normal capitalize">
+                                      <FormLabel className="font-normal smart-capitalize">
                                         {zone.name.replaceAll("_", " ")}
                                       </FormLabel>
                                     </FormItem>
@@ -345,20 +448,37 @@ export default function CameraSettingsView({
                         </>
                       ) : (
                         <div className="font-normal text-destructive">
-                          No zones are defined for this camera.
+                          <Trans ns="views/settings">
+                            camera.reviewClassification.noDefinedZones
+                          </Trans>
                         </div>
                       )}
                       <FormMessage />
                       <div className="text-sm">
-                        All {alertsLabels} objects
                         {watchedAlertsZones && watchedAlertsZones.length > 0
-                          ? ` detected in ${watchedAlertsZones.map((zone) => capitalizeFirstLetter(zone).replaceAll("_", " ")).join(", ")}`
-                          : ""}{" "}
-                        on{" "}
-                        {capitalizeFirstLetter(
-                          cameraConfig?.name ?? "",
-                        ).replaceAll("_", " ")}{" "}
-                        will be shown as Alerts.
+                          ? t(
+                              "camera.reviewClassification.zoneObjectAlertsTips",
+                              {
+                                alertsLabels,
+                                zone: watchedAlertsZones
+                                  .map((zone) =>
+                                    capitalizeFirstLetter(zone).replaceAll(
+                                      "_",
+                                      " ",
+                                    ),
+                                  )
+                                  .join(", "),
+                                cameraName: capitalizeFirstLetter(
+                                  cameraConfig?.name ?? "",
+                                ).replaceAll("_", " "),
+                              },
+                            )
+                          : t("camera.reviewClassification.objectAlertsTips", {
+                              alertsLabels,
+                              cameraName: capitalizeFirstLetter(
+                                cameraConfig?.name ?? "",
+                              ).replaceAll("_", " "),
+                            })}
                       </div>
                     </FormItem>
                   )}
@@ -373,12 +493,16 @@ export default function CameraSettingsView({
                         <>
                           <div className="mb-2">
                             <FormLabel className="flex flex-row items-center text-base">
-                              Detections{" "}
+                              <Trans ns="views/settings">
+                                camera.review.detections
+                              </Trans>
                               <MdCircle className="ml-3 size-2 text-severity_detection" />
                             </FormLabel>
                             {selectDetections && (
                               <FormDescription>
-                                Select zones for Detections
+                                <Trans ns="views/settings">
+                                  camera.reviewClassification.selectDetectionsZones
+                                </Trans>
                               </FormDescription>
                             )}
                           </div>
@@ -417,7 +541,7 @@ export default function CameraSettingsView({
                                             }}
                                           />
                                         </FormControl>
-                                        <FormLabel className="font-normal capitalize">
+                                        <FormLabel className="font-normal smart-capitalize">
                                           {zone.name.replaceAll("_", " ")}
                                         </FormLabel>
                                       </FormItem>
@@ -441,7 +565,9 @@ export default function CameraSettingsView({
                                 htmlFor="select-detections"
                                 className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
                               >
-                                Limit detections to specific zones
+                                <Trans ns="views/settings">
+                                  camera.reviewClassification.limitDetections
+                                </Trans>
                               </label>
                             </div>
                           </div>
@@ -449,22 +575,59 @@ export default function CameraSettingsView({
                       )}
 
                       <div className="text-sm">
-                        All {detectionsLabels} objects{" "}
-                        <em>not classified as Alerts</em>{" "}
                         {watchedDetectionsZones &&
-                        watchedDetectionsZones.length > 0
-                          ? ` that are detected in ${watchedDetectionsZones.map((zone) => capitalizeFirstLetter(zone).replaceAll("_", " ")).join(", ")}`
-                          : ""}{" "}
-                        on{" "}
-                        {capitalizeFirstLetter(
-                          cameraConfig?.name ?? "",
-                        ).replaceAll("_", " ")}{" "}
-                        will be shown as Detections
-                        {(!selectDetections ||
-                          (watchedDetectionsZones &&
-                            watchedDetectionsZones.length === 0)) &&
-                          ", regardless of zone"}
-                        .
+                        watchedDetectionsZones.length > 0 ? (
+                          !selectDetections ? (
+                            <Trans
+                              i18nKey="camera.reviewClassification.zoneObjectDetectionsTips.text"
+                              values={{
+                                detectionsLabels,
+                                zone: watchedDetectionsZones
+                                  .map((zone) =>
+                                    capitalizeFirstLetter(zone).replaceAll(
+                                      "_",
+                                      " ",
+                                    ),
+                                  )
+                                  .join(", "),
+                                cameraName: capitalizeFirstLetter(
+                                  cameraConfig?.name ?? "",
+                                ).replaceAll("_", " "),
+                              }}
+                              ns="views/settings"
+                            ></Trans>
+                          ) : (
+                            <Trans
+                              i18nKey="camera.reviewClassification.zoneObjectDetectionsTips.notSelectDetections"
+                              values={{
+                                detectionsLabels,
+                                zone: watchedDetectionsZones
+                                  .map((zone) =>
+                                    capitalizeFirstLetter(zone).replaceAll(
+                                      "_",
+                                      " ",
+                                    ),
+                                  )
+                                  .join(", "),
+                                cameraName: capitalizeFirstLetter(
+                                  cameraConfig?.name ?? "",
+                                ).replaceAll("_", " "),
+                              }}
+                              ns="views/settings"
+                            />
+                          )
+                        ) : (
+                          <Trans
+                            i18nKey="camera.reviewClassification.objectDetectionsTips"
+                            values={{
+                              detectionsLabels,
+                              cameraName: capitalizeFirstLetter(
+                                cameraConfig?.name ?? "",
+                              ).replaceAll("_", " "),
+                            }}
+                            ns="views/settings"
+                          />
+                        )}
                       </div>
                     </FormItem>
                   )}
@@ -475,26 +638,28 @@ export default function CameraSettingsView({
               <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
                 <Button
                   className="flex flex-1"
-                  aria-label="Cancel"
+                  aria-label={t("button.cancel", { ns: "common" })}
                   onClick={onCancel}
                   type="button"
                 >
-                  Cancel
+                  <Trans>button.cancel</Trans>
                 </Button>
                 <Button
                   variant="select"
                   disabled={isLoading}
                   className="flex flex-1"
-                  aria-label="Save"
+                  aria-label={t("button.save", { ns: "common" })}
                   type="submit"
                 >
                   {isLoading ? (
                     <div className="flex flex-row items-center gap-2">
                       <ActivityIndicator />
-                      <span>Saving...</span>
+                      <span>
+                        <Trans>button.saving</Trans>
+                      </span>
                     </div>
                   ) : (
-                    "Save"
+                    <Trans>button.save</Trans>
                   )}
                 </Button>
               </div>
diff --git a/web/src/views/settings/EnrichmentsSettingsView.tsx b/web/src/views/settings/EnrichmentsSettingsView.tsx
new file mode 100644
index 000000000..2f00b3f2c
--- /dev/null
+++ b/web/src/views/settings/EnrichmentsSettingsView.tsx
@@ -0,0 +1,620 @@
+import Heading from "@/components/ui/heading";
+import { FrigateConfig, SearchModelSize } from "@/types/frigateConfig";
+import useSWR from "swr";
+import axios from "axios";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { useCallback, useContext, useEffect, useState } from "react";
+import { Label } from "@/components/ui/label";
+import { Button } from "@/components/ui/button";
+import { Switch } from "@/components/ui/switch";
+import { Toaster } from "@/components/ui/sonner";
+import { toast } from "sonner";
+import { Separator } from "@/components/ui/separator";
+import { Link } from "react-router-dom";
+import { LuExternalLink } from "react-icons/lu";
+import { StatusBarMessagesContext } from "@/context/statusbar-provider";
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+} from "@/components/ui/select";
+import { Trans, useTranslation } from "react-i18next";
+import {
+  AlertDialog,
+  AlertDialogAction,
+  AlertDialogCancel,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogTitle,
+} from "@/components/ui/alert-dialog";
+import { buttonVariants } from "@/components/ui/button";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
+type EnrichmentsSettings = {
+  search: {
+    enabled?: boolean;
+    model_size?: SearchModelSize;
+  };
+  face: {
+    enabled?: boolean;
+    model_size?: SearchModelSize;
+  };
+  lpr: {
+    enabled?: boolean;
+  };
+  bird: {
+    enabled?: boolean;
+  };
+};
+
+type EnrichmentsSettingsViewProps = {
+  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
+};
+export default function EnrichmentsSettingsView({
+  setUnsavedChanges,
+}: EnrichmentsSettingsViewProps) {
+  const { t } = useTranslation("views/settings");
+  const { getLocaleDocUrl } = useDocDomain();
+  const { data: config, mutate: updateConfig } =
+    useSWR<FrigateConfig>("config");
+  const [changedValue, setChangedValue] = useState(false);
+  const [isLoading, setIsLoading] = useState(false);
+  const [isReindexDialogOpen, setIsReindexDialogOpen] = useState(false);
+
+  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
+
+  const [enrichmentsSettings, setEnrichmentsSettings] =
+    useState<EnrichmentsSettings>({
+      search: { enabled: undefined, model_size: undefined },
+      face: { enabled: undefined, model_size: undefined },
+      lpr: { enabled: undefined },
+      bird: { enabled: undefined },
+    });
+
+  const [origSearchSettings, setOrigSearchSettings] =
+    useState<EnrichmentsSettings>({
+      search: { enabled: undefined, model_size: undefined },
+      face: { enabled: undefined, model_size: undefined },
+      lpr: { enabled: undefined },
+      bird: { enabled: undefined },
+    });
+
+  useEffect(() => {
+    if (config) {
+      if (enrichmentsSettings?.search.enabled == undefined) {
+        setEnrichmentsSettings({
+          search: {
+            enabled: config.semantic_search.enabled,
+            model_size: config.semantic_search.model_size,
+          },
+          face: {
+            enabled: config.face_recognition.enabled,
+            model_size: config.face_recognition.model_size,
+          },
+          lpr: { enabled: config.lpr.enabled },
+          bird: {
+            enabled: config.classification.bird.enabled,
+          },
+        });
+      }
+
+      setOrigSearchSettings({
+        search: {
+          enabled: config.semantic_search.enabled,
+          model_size: config.semantic_search.model_size,
+        },
+        face: {
+          enabled: config.face_recognition.enabled,
+          model_size: config.face_recognition.model_size,
+        },
+        lpr: { enabled: config.lpr.enabled },
+        bird: { enabled: config.classification.bird.enabled },
+      });
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [config]);
+
+  const handleEnrichmentsConfigChange = (
+    newConfig: Partial<EnrichmentsSettings>,
+  ) => {
+    setEnrichmentsSettings((prevConfig) => ({
+      search: { ...prevConfig.search, ...newConfig.search },
+      face: { ...prevConfig.face, ...newConfig.face },
+      lpr: { ...prevConfig.lpr, ...newConfig.lpr },
+      bird: { ...prevConfig.bird, ...newConfig.bird },
+    }));
+    setUnsavedChanges(true);
+    setChangedValue(true);
+  };
+
+  const saveToConfig = useCallback(async () => {
+    setIsLoading(true);
+
+    axios
+      .put(
+        `config/set?semantic_search.enabled=${enrichmentsSettings.search.enabled ? "True" : "False"}&semantic_search.model_size=${enrichmentsSettings.search.model_size}&face_recognition.enabled=${enrichmentsSettings.face.enabled ? "True" : "False"}&face_recognition.model_size=${enrichmentsSettings.face.model_size}&lpr.enabled=${enrichmentsSettings.lpr.enabled ? "True" : "False"}&classification.bird.enabled=${enrichmentsSettings.bird.enabled ? "True" : "False"}`,
+        { requires_restart: 0 },
+      )
+      .then((res) => {
+        if (res.status === 200) {
+          toast.success(t("enrichments.toast.success"), {
+            position: "top-center",
+          });
+          setChangedValue(false);
+          updateConfig();
+        } else {
+          toast.error(
+            t("enrichments.toast.error", { errorMessage: res.statusText }),
+            { position: "top-center" },
+          );
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("toast.save.error.title", { errorMessage, ns: "common" }),
+          { position: "top-center" },
+        );
+      })
+      .finally(() => {
+        addMessage(
+          "enrichments_settings_restart",
+          t("enrichments.restart_required"),
+          undefined,
+          "enrichments_settings",
+        );
+        setIsLoading(false);
+      });
+  }, [enrichmentsSettings, t, addMessage, updateConfig]);
+
+  const onCancel = useCallback(() => {
+    setEnrichmentsSettings(origSearchSettings);
+    setChangedValue(false);
+    removeMessage("enrichments_settings", "enrichments_settings");
+  }, [origSearchSettings, removeMessage]);
+
+  const onReindex = useCallback(() => {
+    setIsLoading(true);
+
+    axios
+      .put("/reindex")
+      .then((res) => {
+        if (res.status === 202) {
+          toast.success(t("enrichments.semanticSearch.reindexNow.success"), {
+            position: "top-center",
+          });
+        } else {
+          toast.error(
+            t("enrichments.semanticSearch.reindexNow.error", {
+              errorMessage: res.statusText,
+            }),
+            { position: "top-center" },
+          );
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("enrichments.semanticSearch.reindexNow.error", {
+            errorMessage,
+          }),
+          { position: "top-center" },
+        );
+      })
+      .finally(() => {
+        setIsLoading(false);
+        setIsReindexDialogOpen(false);
+      });
+  }, [t]);
+
+  useEffect(() => {
+    if (changedValue) {
+      addMessage(
+        "enrichments_settings",
+        t("enrichments.unsavedChanges"),
+        undefined,
+        "enrichments_settings",
+      );
+    } else {
+      removeMessage("enrichments_settings", "enrichments_settings");
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [changedValue]);
+
+  useEffect(() => {
+    document.title = t("documentTitle.enrichments");
+  }, [t]);
+
+  if (!config) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <div className="flex size-full flex-col md:flex-row">
+      <Toaster position="top-center" closeButton={true} />
+      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
+        <Heading as="h3" className="my-2">
+          {t("enrichments.title")}
+        </Heading>
+        <Separator className="my-2 flex bg-secondary" />
+        <Heading as="h4" className="my-2">
+          {t("enrichments.semanticSearch.title")}
+        </Heading>
+        <div className="max-w-6xl">
+          <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+            <p>{t("enrichments.semanticSearch.desc")}</p>
+
+            <div className="flex items-center text-primary">
+              <Link
+                to={getLocaleDocUrl("configuration/semantic_search")}
+                target="_blank"
+                rel="noopener noreferrer"
+                className="inline"
+              >
+                {t("enrichments.semanticSearch.readTheDocumentation")}
+                <LuExternalLink className="ml-2 inline-flex size-3" />
+              </Link>
+            </div>
+          </div>
+        </div>
+
+        <div className="flex w-full max-w-lg flex-col space-y-6">
+          <div className="flex flex-row items-center">
+            <Switch
+              id="enabled"
+              className="mr-3"
+              disabled={enrichmentsSettings.search.enabled === undefined}
+              checked={enrichmentsSettings.search.enabled === true}
+              onCheckedChange={(isChecked) => {
+                handleEnrichmentsConfigChange({
+                  search: { enabled: isChecked },
+                });
+              }}
+            />
+            <div className="space-y-0.5">
+              <Label htmlFor="enabled">
+                {t("button.enabled", { ns: "common" })}
+              </Label>
+            </div>
+          </div>
+          <div className="space-y-3">
+            <Button
+              variant="default"
+              disabled={isLoading || !enrichmentsSettings.search.enabled}
+              onClick={() => setIsReindexDialogOpen(true)}
+              aria-label={t("enrichments.semanticSearch.reindexNow.label")}
+            >
+              {t("enrichments.semanticSearch.reindexNow.label")}
+            </Button>
+            <div className="mt-3 text-sm text-muted-foreground">
+              <Trans ns="views/settings">
+                enrichments.semanticSearch.reindexNow.desc
+              </Trans>
+            </div>
+          </div>
+          <div className="mt-2 flex flex-col space-y-6">
+            <div className="space-y-0.5">
+              <div className="text-md">
+                {t("enrichments.semanticSearch.modelSize.label")}
+              </div>
+              <div className="space-y-1 text-sm text-muted-foreground">
+                <p>
+                  <Trans ns="views/settings">
+                    enrichments.semanticSearch.modelSize.desc
+                  </Trans>
+                </p>
+                <ul className="list-disc pl-5 text-sm">
+                  <li>
+                    <Trans ns="views/settings">
+                      enrichments.semanticSearch.modelSize.small.desc
+                    </Trans>
+                  </li>
+                  <li>
+                    <Trans ns="views/settings">
+                      enrichments.semanticSearch.modelSize.large.desc
+                    </Trans>
+                  </li>
+                </ul>
+              </div>
+            </div>
+            <Select
+              value={enrichmentsSettings.search.model_size}
+              onValueChange={(value) =>
+                handleEnrichmentsConfigChange({
+                  search: { model_size: value as SearchModelSize },
+                })
+              }
+            >
+              <SelectTrigger className="w-20">
+                {t(
+                  `enrichments.semanticSearch.modelSize.${enrichmentsSettings.search.model_size}.title`,
+                )}
+              </SelectTrigger>
+              <SelectContent>
+                <SelectGroup>
+                  {["small", "large"].map((size) => (
+                    <SelectItem
+                      key={size}
+                      className="cursor-pointer"
+                      value={size}
+                    >
+                      {t(
+                        "enrichments.semanticSearch.modelSize." +
+                          size +
+                          ".title",
+                      )}
+                    </SelectItem>
+                  ))}
+                </SelectGroup>
+              </SelectContent>
+            </Select>
+          </div>
+        </div>
+
+        <AlertDialog
+          open={isReindexDialogOpen}
+          onOpenChange={setIsReindexDialogOpen}
+        >
+          <AlertDialogContent>
+            <AlertDialogHeader>
+              <AlertDialogTitle>
+                {t("enrichments.semanticSearch.reindexNow.confirmTitle")}
+              </AlertDialogTitle>
+              <AlertDialogDescription>
+                <Trans ns="views/settings">
+                  enrichments.semanticSearch.reindexNow.confirmDesc
+                </Trans>
+              </AlertDialogDescription>
+            </AlertDialogHeader>
+            <AlertDialogFooter>
+              <AlertDialogCancel onClick={() => setIsReindexDialogOpen(false)}>
+                {t("button.cancel", { ns: "common" })}
+              </AlertDialogCancel>
+              <AlertDialogAction
+                onClick={onReindex}
+                className={buttonVariants({ variant: "select" })}
+              >
+                {t("enrichments.semanticSearch.reindexNow.confirmButton")}
+              </AlertDialogAction>
+            </AlertDialogFooter>
+          </AlertDialogContent>
+        </AlertDialog>
+
+        <div className="my-2 space-y-6">
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            {t("enrichments.faceRecognition.title")}
+          </Heading>
+          <div className="max-w-6xl">
+            <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+              <p>{t("enrichments.faceRecognition.desc")}</p>
+
+              <div className="flex items-center text-primary">
+                <Link
+                  to={getLocaleDocUrl("configuration/face_recognition")}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="inline"
+                >
+                  {t("enrichments.faceRecognition.readTheDocumentation")}
+                  <LuExternalLink className="ml-2 inline-flex size-3" />
+                </Link>
+              </div>
+            </div>
+          </div>
+
+          <div className="flex w-full max-w-lg flex-col space-y-6">
+            <div className="flex flex-row items-center">
+              <Switch
+                id="enabled"
+                className="mr-3"
+                disabled={enrichmentsSettings.face.enabled === undefined}
+                checked={enrichmentsSettings.face.enabled === true}
+                onCheckedChange={(isChecked) => {
+                  handleEnrichmentsConfigChange({
+                    face: { enabled: isChecked },
+                  });
+                }}
+              />
+              <div className="space-y-0.5">
+                <Label htmlFor="enabled">
+                  {t("button.enabled", { ns: "common" })}
+                </Label>
+              </div>
+            </div>
+            <div className="space-y-0.5">
+              <div className="text-md">
+                {t("enrichments.faceRecognition.modelSize.label")}
+              </div>
+              <div className="space-y-1 text-sm text-muted-foreground">
+                <p>
+                  <Trans ns="views/settings">
+                    enrichments.faceRecognition.modelSize.desc
+                  </Trans>
+                </p>
+                <ul className="list-disc pl-5 text-sm">
+                  <li>
+                    <Trans ns="views/settings">
+                      enrichments.faceRecognition.modelSize.small.desc
+                    </Trans>
+                  </li>
+                  <li>
+                    <Trans ns="views/settings">
+                      enrichments.faceRecognition.modelSize.large.desc
+                    </Trans>
+                  </li>
+                </ul>
+              </div>
+            </div>
+            <Select
+              value={enrichmentsSettings.face.model_size}
+              onValueChange={(value) =>
+                handleEnrichmentsConfigChange({
+                  face: {
+                    model_size: value as SearchModelSize,
+                  },
+                })
+              }
+            >
+              <SelectTrigger className="w-20">
+                {t(
+                  `enrichments.faceRecognition.modelSize.${enrichmentsSettings.face.model_size}.title`,
+                )}
+              </SelectTrigger>
+              <SelectContent>
+                <SelectGroup>
+                  {["small", "large"].map((size) => (
+                    <SelectItem
+                      key={size}
+                      className="cursor-pointer"
+                      value={size}
+                    >
+                      {t(
+                        "enrichments.faceRecognition.modelSize." +
+                          size +
+                          ".title",
+                      )}
+                    </SelectItem>
+                  ))}
+                </SelectGroup>
+              </SelectContent>
+            </Select>
+          </div>
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            {t("enrichments.licensePlateRecognition.title")}
+          </Heading>
+          <div className="max-w-6xl">
+            <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+              <p>{t("enrichments.licensePlateRecognition.desc")}</p>
+
+              <div className="flex items-center text-primary">
+                <Link
+                  to={getLocaleDocUrl(
+                    "configuration/license_plate_recognition",
+                  )}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="inline"
+                >
+                  {t(
+                    "enrichments.licensePlateRecognition.readTheDocumentation",
+                  )}
+                  <LuExternalLink className="ml-2 inline-flex size-3" />
+                </Link>
+              </div>
+            </div>
+          </div>
+
+          <div className="flex w-full max-w-lg flex-col space-y-6">
+            <div className="flex flex-row items-center">
+              <Switch
+                id="enabled"
+                className="mr-3"
+                disabled={enrichmentsSettings.lpr.enabled === undefined}
+                checked={enrichmentsSettings.lpr.enabled === true}
+                onCheckedChange={(isChecked) => {
+                  handleEnrichmentsConfigChange({
+                    lpr: { enabled: isChecked },
+                  });
+                }}
+              />
+              <div className="space-y-0.5">
+                <Label htmlFor="enabled">
+                  {t("button.enabled", { ns: "common" })}
+                </Label>
+              </div>
+            </div>
+          </div>
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            {t("enrichments.birdClassification.title")}
+          </Heading>
+          <div className="max-w-6xl">
+            <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+              <p>{t("enrichments.birdClassification.desc")}</p>
+
+              <div className="flex items-center text-primary">
+                <Link
+                  to={getLocaleDocUrl("configuration/bird_classification")}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="inline"
+                >
+                  {t("enrichments.semanticSearch.readTheDocumentation")}
+                  <LuExternalLink className="ml-2 inline-flex size-3" />
+                </Link>
+              </div>
+            </div>
+          </div>
+
+          <div className="flex w-full max-w-lg flex-col space-y-6">
+            <div className="flex flex-row items-center">
+              <Switch
+                id="enabled"
+                className="mr-3"
+                disabled={enrichmentsSettings.bird.enabled === undefined}
+                checked={enrichmentsSettings.bird.enabled === true}
+                onCheckedChange={(isChecked) => {
+                  handleEnrichmentsConfigChange({
+                    bird: { enabled: isChecked },
+                  });
+                }}
+              />
+              <div className="space-y-0.5">
+                <Label htmlFor="enabled">
+                  {t("button.enabled", { ns: "common" })}
+                </Label>
+              </div>
+            </div>
+          </div>
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
+            <Button
+              className="flex flex-1"
+              aria-label={t("button.reset", { ns: "common" })}
+              onClick={onCancel}
+            >
+              {t("button.reset", { ns: "common" })}
+            </Button>
+            <Button
+              variant="select"
+              disabled={!changedValue || isLoading}
+              className="flex flex-1"
+              aria-label="Save"
+              onClick={saveToConfig}
+            >
+              {isLoading ? (
+                <div className="flex flex-row items-center gap-2">
+                  <ActivityIndicator />
+                  <span>{t("button.saving", { ns: "common" })}</span>
+                </div>
+              ) : (
+                t("button.save", { ns: "common" })
+              )}
+            </Button>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/views/settings/FrigatePlusSettingsView.tsx b/web/src/views/settings/FrigatePlusSettingsView.tsx
new file mode 100644
index 000000000..e721aa13c
--- /dev/null
+++ b/web/src/views/settings/FrigatePlusSettingsView.tsx
@@ -0,0 +1,561 @@
+import Heading from "@/components/ui/heading";
+import { Label } from "@/components/ui/label";
+import { useCallback, useContext, useEffect, useState } from "react";
+import { Toaster } from "sonner";
+import { Separator } from "../../components/ui/separator";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { toast } from "sonner";
+import useSWR from "swr";
+import axios from "axios";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { CheckCircle2, XCircle } from "lucide-react";
+import { Trans, useTranslation } from "react-i18next";
+import { IoIosWarning } from "react-icons/io";
+import { Button } from "@/components/ui/button";
+import { Link } from "react-router-dom";
+import { LuExternalLink } from "react-icons/lu";
+import { StatusBarMessagesContext } from "@/context/statusbar-provider";
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+} from "@/components/ui/select";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+
+type FrigatePlusModel = {
+  id: string;
+  type: string;
+  name: string;
+  isBaseModel: boolean;
+  supportedDetectors: string[];
+  trainDate: string;
+  baseModel: string;
+  width: number;
+  height: number;
+};
+
+type FrigatePlusSettings = {
+  model: {
+    id?: string;
+  };
+};
+
+type FrigateSettingsViewProps = {
+  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
+};
+
+export default function FrigatePlusSettingsView({
+  setUnsavedChanges,
+}: FrigateSettingsViewProps) {
+  const { t } = useTranslation("views/settings");
+  const { getLocaleDocUrl } = useDocDomain();
+  const { data: config, mutate: updateConfig } =
+    useSWR<FrigateConfig>("config");
+  const [changedValue, setChangedValue] = useState(false);
+  const [isLoading, setIsLoading] = useState(false);
+
+  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
+
+  const [frigatePlusSettings, setFrigatePlusSettings] =
+    useState<FrigatePlusSettings>({
+      model: {
+        id: undefined,
+      },
+    });
+
+  const [origPlusSettings, setOrigPlusSettings] = useState<FrigatePlusSettings>(
+    {
+      model: {
+        id: undefined,
+      },
+    },
+  );
+
+  const { data: availableModels = {} } = useSWR<
+    Record<string, FrigatePlusModel>
+  >("/plus/models", {
+    fallbackData: {},
+    fetcher: async (url) => {
+      const res = await axios.get(url, { withCredentials: true });
+      return res.data.reduce(
+        (obj: Record<string, FrigatePlusModel>, model: FrigatePlusModel) => {
+          obj[model.id] = model;
+          return obj;
+        },
+        {},
+      );
+    },
+  });
+
+  useEffect(() => {
+    if (config) {
+      if (frigatePlusSettings?.model.id == undefined) {
+        setFrigatePlusSettings({
+          model: {
+            id: config.model.plus?.id,
+          },
+        });
+      }
+
+      setOrigPlusSettings({
+        model: {
+          id: config.model.plus?.id,
+        },
+      });
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [config]);
+
+  const handleFrigatePlusConfigChange = (
+    newConfig: Partial<FrigatePlusSettings>,
+  ) => {
+    setFrigatePlusSettings((prevConfig) => ({
+      model: {
+        ...prevConfig.model,
+        ...newConfig.model,
+      },
+    }));
+    setUnsavedChanges(true);
+    setChangedValue(true);
+  };
+
+  const saveToConfig = useCallback(async () => {
+    setIsLoading(true);
+
+    axios
+      .put(`config/set?model.path=plus://${frigatePlusSettings.model.id}`, {
+        requires_restart: 0,
+      })
+      .then((res) => {
+        if (res.status === 200) {
+          toast.success(t("frigatePlus.toast.success"), {
+            position: "top-center",
+          });
+          setChangedValue(false);
+          updateConfig();
+        } else {
+          toast.error(
+            t("frigatePlus.toast.error", { errorMessage: res.statusText }),
+            {
+              position: "top-center",
+            },
+          );
+        }
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("toast.save.error.title", { errorMessage, ns: "common" }),
+          {
+            position: "top-center",
+          },
+        );
+      })
+      .finally(() => {
+        addMessage(
+          "plus_restart",
+          t("frigatePlus.restart_required"),
+          undefined,
+          "plus_restart",
+        );
+        setIsLoading(false);
+      });
+  }, [updateConfig, addMessage, frigatePlusSettings, t]);
+
+  const onCancel = useCallback(() => {
+    setFrigatePlusSettings(origPlusSettings);
+    setChangedValue(false);
+    removeMessage("plus_settings", "plus_settings");
+  }, [origPlusSettings, removeMessage]);
+
+  useEffect(() => {
+    if (changedValue) {
+      addMessage(
+        "plus_settings",
+        t("frigatePlus.unsavedChanges"),
+        undefined,
+        "plus_settings",
+      );
+    } else {
+      removeMessage("plus_settings", "plus_settings");
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [changedValue]);
+
+  useEffect(() => {
+    document.title = t("documentTitle.frigatePlus");
+  }, [t]);
+
+  const needCleanSnapshots = () => {
+    if (!config) {
+      return false;
+    }
+    return Object.values(config.cameras).some(
+      (camera) => camera.snapshots.enabled && !camera.snapshots.clean_copy,
+    );
+  };
+
+  if (!config) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <>
+      <div className="flex size-full flex-col md:flex-row">
+        <Toaster position="top-center" closeButton={true} />
+        <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
+          <Heading as="h3" className="my-2">
+            {t("frigatePlus.title")}
+          </Heading>
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            {t("frigatePlus.apiKey.title")}
+          </Heading>
+
+          <div className="mt-2 space-y-6">
+            <div className="space-y-3">
+              <div className="flex items-center gap-2">
+                {config?.plus?.enabled ? (
+                  <CheckCircle2 className="h-5 w-5 text-green-500" />
+                ) : (
+                  <XCircle className="h-5 w-5 text-red-500" />
+                )}
+                <Label>
+                  {config?.plus?.enabled
+                    ? t("frigatePlus.apiKey.validated")
+                    : t("frigatePlus.apiKey.notValidated")}
+                </Label>
+              </div>
+              <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                <p>{t("frigatePlus.apiKey.desc")}</p>
+                {!config?.model.plus && (
+                  <>
+                    <div className="mt-2 flex items-center text-primary-variant">
+                      <Link
+                        to="https://frigate.video/plus"
+                        target="_blank"
+                        rel="noopener noreferrer"
+                        className="inline"
+                      >
+                        {t("frigatePlus.apiKey.plusLink")}
+                        <LuExternalLink className="ml-2 inline-flex size-3" />
+                      </Link>
+                    </div>
+                  </>
+                )}
+              </div>
+            </div>
+
+            {config?.model.plus && (
+              <>
+                <Separator className="my-2 flex bg-secondary" />
+                <div className="mt-2 max-w-2xl">
+                  <Heading as="h4" className="my-2">
+                    {t("frigatePlus.modelInfo.title")}
+                  </Heading>
+                  <div className="mt-2 space-y-3">
+                    {!config?.model?.plus && (
+                      <p className="text-muted-foreground">
+                        {t("frigatePlus.modelInfo.loading")}
+                      </p>
+                    )}
+                    {config?.model?.plus === null && (
+                      <p className="text-danger">
+                        {t("frigatePlus.modelInfo.error")}
+                      </p>
+                    )}
+                    {config?.model?.plus && (
+                      <div className="grid grid-cols-2 gap-4">
+                        <div>
+                          <Label className="text-muted-foreground">
+                            {t("frigatePlus.modelInfo.baseModel")}
+                          </Label>
+                          <p>
+                            {config.model.plus.baseModel} (
+                            {config.model.plus.isBaseModel
+                              ? t(
+                                  "frigatePlus.modelInfo.plusModelType.baseModel",
+                                )
+                              : t(
+                                  "frigatePlus.modelInfo.plusModelType.userModel",
+                                )}
+                            )
+                          </p>
+                        </div>
+                        <div>
+                          <Label className="text-muted-foreground">
+                            {t("frigatePlus.modelInfo.trainDate")}
+                          </Label>
+                          <p>
+                            {new Date(
+                              config.model.plus.trainDate,
+                            ).toLocaleString()}
+                          </p>
+                        </div>
+                        <div>
+                          <Label className="text-muted-foreground">
+                            {t("frigatePlus.modelInfo.modelType")}
+                          </Label>
+                          <p>
+                            {config.model.plus.name} (
+                            {config.model.plus.width +
+                              "x" +
+                              config.model.plus.height}
+                            )
+                          </p>
+                        </div>
+                        <div>
+                          <Label className="text-muted-foreground">
+                            {t("frigatePlus.modelInfo.supportedDetectors")}
+                          </Label>
+                          <p>
+                            {config.model.plus.supportedDetectors.join(", ")}
+                          </p>
+                        </div>
+                        <div className="col-span-2">
+                          <div className="space-y-2">
+                            <div className="text-md">
+                              {t("frigatePlus.modelInfo.availableModels")}
+                            </div>
+                            <div className="space-y-3 text-sm text-muted-foreground">
+                              <p>
+                                <Trans ns="views/settings">
+                                  frigatePlus.modelInfo.modelSelect
+                                </Trans>
+                              </p>
+                            </div>
+                          </div>
+                          <Select
+                            value={frigatePlusSettings.model.id}
+                            onValueChange={(value) =>
+                              handleFrigatePlusConfigChange({
+                                model: { id: value as string },
+                              })
+                            }
+                          >
+                            {frigatePlusSettings.model.id &&
+                            availableModels?.[frigatePlusSettings.model.id] ? (
+                              <SelectTrigger>
+                                {new Date(
+                                  availableModels[
+                                    frigatePlusSettings.model.id
+                                  ].trainDate,
+                                ).toLocaleString() +
+                                  " " +
+                                  availableModels[frigatePlusSettings.model.id]
+                                    .baseModel +
+                                  " (" +
+                                  (availableModels[frigatePlusSettings.model.id]
+                                    .isBaseModel
+                                    ? t(
+                                        "frigatePlus.modelInfo.plusModelType.baseModel",
+                                      )
+                                    : t(
+                                        "frigatePlus.modelInfo.plusModelType.userModel",
+                                      )) +
+                                  ") " +
+                                  availableModels[frigatePlusSettings.model.id]
+                                    .name +
+                                  " (" +
+                                  availableModels[frigatePlusSettings.model.id]
+                                    .width +
+                                  "x" +
+                                  availableModels[frigatePlusSettings.model.id]
+                                    .height +
+                                  ")"}
+                              </SelectTrigger>
+                            ) : (
+                              <SelectTrigger>
+                                {t(
+                                  "frigatePlus.modelInfo.loadingAvailableModels",
+                                )}
+                              </SelectTrigger>
+                            )}
+
+                            <SelectContent>
+                              <SelectGroup>
+                                {Object.entries(availableModels || {}).map(
+                                  ([id, model]) => (
+                                    <SelectItem
+                                      key={id}
+                                      className="cursor-pointer"
+                                      value={id}
+                                      disabled={
+                                        model.type != config.model.model_type ||
+                                        !model.supportedDetectors.includes(
+                                          Object.values(config.detectors)[0]
+                                            .type,
+                                        )
+                                      }
+                                    >
+                                      {new Date(
+                                        model.trainDate,
+                                      ).toLocaleString()}{" "}
+                                      <div>
+                                        {model.baseModel} {" ("}
+                                        {model.isBaseModel
+                                          ? t(
+                                              "frigatePlus.modelInfo.plusModelType.baseModel",
+                                            )
+                                          : t(
+                                              "frigatePlus.modelInfo.plusModelType.userModel",
+                                            )}
+                                        {")"}
+                                      </div>
+                                      <div>
+                                        {model.name} (
+                                        {model.width + "x" + model.height})
+                                      </div>
+                                      <div>
+                                        {t(
+                                          "frigatePlus.modelInfo.supportedDetectors",
+                                        )}
+                                        : {model.supportedDetectors.join(", ")}
+                                      </div>
+                                      <div className="text-xs text-muted-foreground">
+                                        {id}
+                                      </div>
+                                    </SelectItem>
+                                  ),
+                                )}
+                              </SelectGroup>
+                            </SelectContent>
+                          </Select>
+                        </div>
+                      </div>
+                    )}
+                  </div>
+                </div>
+              </>
+            )}
+
+            <Separator className="my-2 flex bg-secondary" />
+
+            <div className="mt-2 max-w-5xl">
+              <Heading as="h4" className="my-2">
+                {t("frigatePlus.snapshotConfig.title")}
+              </Heading>
+              <div className="mt-2 space-y-3">
+                <div className="my-2 text-sm text-muted-foreground">
+                  <p>
+                    <Trans ns="views/settings">
+                      frigatePlus.snapshotConfig.desc
+                    </Trans>
+                  </p>
+                  <div className="mt-2 flex items-center text-primary-variant">
+                    <Link
+                      to={getLocaleDocUrl("plus/faq")}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="inline"
+                    >
+                      {t("frigatePlus.snapshotConfig.documentation")}
+                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                    </Link>
+                  </div>
+                </div>
+                {config && (
+                  <div className="overflow-x-auto">
+                    <table className="max-w-2xl text-sm">
+                      <thead>
+                        <tr className="border-b border-secondary">
+                          <th className="px-4 py-2 text-left">
+                            {t("frigatePlus.snapshotConfig.table.camera")}
+                          </th>
+                          <th className="px-4 py-2 text-center">
+                            {t("frigatePlus.snapshotConfig.table.snapshots")}
+                          </th>
+                          <th className="px-4 py-2 text-center">
+                            <Trans ns="views/settings">
+                              frigatePlus.snapshotConfig.table.cleanCopySnapshots
+                            </Trans>
+                          </th>
+                        </tr>
+                      </thead>
+                      <tbody>
+                        {Object.entries(config.cameras).map(
+                          ([name, camera]) => (
+                            <tr
+                              key={name}
+                              className="border-b border-secondary"
+                            >
+                              <td className="px-4 py-2">{name}</td>
+                              <td className="px-4 py-2 text-center">
+                                {camera.snapshots.enabled ? (
+                                  <CheckCircle2 className="mx-auto size-5 text-green-500" />
+                                ) : (
+                                  <XCircle className="mx-auto size-5 text-danger" />
+                                )}
+                              </td>
+                              <td className="px-4 py-2 text-center">
+                                {camera.snapshots?.enabled &&
+                                camera.snapshots?.clean_copy ? (
+                                  <CheckCircle2 className="mx-auto size-5 text-green-500" />
+                                ) : (
+                                  <XCircle className="mx-auto size-5 text-danger" />
+                                )}
+                              </td>
+                            </tr>
+                          ),
+                        )}
+                      </tbody>
+                    </table>
+                  </div>
+                )}
+                {needCleanSnapshots() && (
+                  <div className="mt-2 max-w-xl rounded-lg border border-secondary-foreground bg-secondary p-4 text-sm text-danger">
+                    <div className="flex items-center gap-2">
+                      <IoIosWarning className="mr-2 size-5 text-danger" />
+                      <div className="max-w-[85%] text-sm">
+                        <Trans ns="views/settings">
+                          frigatePlus.snapshotConfig.cleanCopyWarning
+                        </Trans>
+                      </div>
+                    </div>
+                  </div>
+                )}
+              </div>
+            </div>
+
+            <Separator className="my-2 flex bg-secondary" />
+
+            <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
+              <Button
+                className="flex flex-1"
+                aria-label={t("button.reset", { ns: "common" })}
+                onClick={onCancel}
+              >
+                {t("button.reset", { ns: "common" })}
+              </Button>
+              <Button
+                variant="select"
+                disabled={!changedValue || isLoading}
+                className="flex flex-1"
+                aria-label="Save"
+                onClick={saveToConfig}
+              >
+                {isLoading ? (
+                  <div className="flex flex-row items-center gap-2">
+                    <ActivityIndicator />
+                    <span>{t("button.saving", { ns: "common" })}</span>
+                  </div>
+                ) : (
+                  t("button.save", { ns: "common" })
+                )}
+              </Button>
+            </div>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+}
diff --git a/web/src/views/settings/MasksAndZonesView.tsx b/web/src/views/settings/MasksAndZonesView.tsx
index ab2646b5f..5cd083f6c 100644
--- a/web/src/views/settings/MasksAndZonesView.tsx
+++ b/web/src/views/settings/MasksAndZonesView.tsx
@@ -38,6 +38,12 @@ import { Link } from "react-router-dom";
 import { isDesktop } from "react-device-detect";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 
+import { useSearchEffect } from "@/hooks/use-overlay-state";
+import { useTranslation } from "react-i18next";
+
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { getTranslatedLabel } from "@/utils/i18n";
+
 type MasksAndZoneViewProps = {
   selectedCamera: string;
   selectedZoneMask?: PolygonType[];
@@ -49,6 +55,8 @@ export default function MasksAndZonesView({
   selectedZoneMask,
   setUnsavedChanges,
 }: MasksAndZoneViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const { data: config } = useSWR<FrigateConfig>("config");
   const [allPolygons, setAllPolygons] = useState<Polygon[]>([]);
   const [editingPolygons, setEditingPolygons] = useState<Polygon[]>([]);
@@ -61,6 +69,8 @@ export default function MasksAndZonesView({
   );
   const containerRef = useRef<HTMLDivElement | null>(null);
   const [editPane, setEditPane] = useState<PolygonType | undefined>(undefined);
+  const [activeLine, setActiveLine] = useState<number | undefined>();
+  const [snapPoints, setSnapPoints] = useState(false);
 
   const { addMessage } = useContext(StatusBarMessagesContext)!;
 
@@ -141,7 +151,7 @@ export default function MasksAndZonesView({
     }
   }, [scaledHeight, aspectRatio]);
 
-  const handleNewPolygon = (type: PolygonType) => {
+  const handleNewPolygon = (type: PolygonType, coordinates?: number[][]) => {
     if (!cameraConfig) {
       return;
     }
@@ -160,8 +170,9 @@ export default function MasksAndZonesView({
     setEditingPolygons([
       ...(allPolygons || []),
       {
-        points: [],
-        isFinished: false,
+        points: coordinates ?? [],
+        distances: [],
+        isFinished: coordinates ? true : false,
         type,
         typeIndex: 9999,
         name: "",
@@ -178,8 +189,8 @@ export default function MasksAndZonesView({
     setActivePolygonIndex(undefined);
     setHoveredPolygonIndex(null);
     setUnsavedChanges(false);
-    document.title = "Mask and Zone Editor - Frigate";
-  }, [allPolygons, setUnsavedChanges]);
+    document.title = t("documentTitle.masksAndZones");
+  }, [allPolygons, setUnsavedChanges, t]);
 
   const handleSave = useCallback(() => {
     setAllPolygons([...(editingPolygons ?? [])]);
@@ -187,11 +198,11 @@ export default function MasksAndZonesView({
     setUnsavedChanges(false);
     addMessage(
       "masks_zones",
-      "Restart required (masks/zones changed)",
+      t("masksAndZones.restart_required"),
       undefined,
       "masks_zones",
     );
-  }, [editingPolygons, setUnsavedChanges, addMessage]);
+  }, [t, editingPolygons, setUnsavedChanges, addMessage]);
 
   useEffect(() => {
     if (isLoading) {
@@ -214,12 +225,16 @@ export default function MasksAndZonesView({
             .map((point) => `${point[0]},${point[1]}`)
             .join(","),
         );
-        toast.success(`Copied coordinates for ${poly.name} to clipboard.`);
+        toast.success(
+          t("masksAndZones.toast.success.copyCoordinates", {
+            polyName: poly.name,
+          }),
+        );
       } else {
-        toast.error("Could not copy coordinates to clipboard.");
+        toast.error(t("masksAndZones.toast.error.copyCoordinatesFailed"));
       }
     },
-    [allPolygons, scaledHeight, scaledWidth],
+    [allPolygons, scaledHeight, scaledWidth, t],
   );
 
   useEffect(() => {
@@ -238,6 +253,8 @@ export default function MasksAndZonesView({
             scaledWidth,
             scaledHeight,
           ),
+          distances:
+            zoneData.distances?.map((distance) => parseFloat(distance)) ?? [],
           isFinished: true,
           color: zoneData.color,
         }),
@@ -258,7 +275,9 @@ export default function MasksAndZonesView({
         type: "motion_mask" as PolygonType,
         typeIndex: index,
         camera: cameraConfig.name,
-        name: `Motion Mask ${index + 1}`,
+        name: t("masksAndZones.motionMaskLabel", {
+          number: index + 1,
+        }),
         objects: [],
         points: interpolatePoints(
           parseCoordinates(maskData),
@@ -267,6 +286,7 @@ export default function MasksAndZonesView({
           scaledWidth,
           scaledHeight,
         ),
+        distances: [],
         isFinished: true,
         color: [0, 0, 255],
       }));
@@ -281,7 +301,10 @@ export default function MasksAndZonesView({
         type: "object_mask" as PolygonType,
         typeIndex: index,
         camera: cameraConfig.name,
-        name: `Object Mask ${index + 1} (all objects)`,
+        name: t("masksAndZones.objectMaskLabel", {
+          number: index + 1,
+          label: t("masksAndZones.zones.allObjects"),
+        }),
         objects: [],
         points: interpolatePoints(
           parseCoordinates(maskData),
@@ -290,6 +313,7 @@ export default function MasksAndZonesView({
           scaledWidth,
           scaledHeight,
         ),
+        distances: [],
         isFinished: true,
         color: [128, 128, 128],
       }));
@@ -307,7 +331,10 @@ export default function MasksAndZonesView({
               type: "object_mask" as PolygonType,
               typeIndex: subIndex,
               camera: cameraConfig.name,
-              name: `Object Mask ${globalObjectMasksCount + index + 1} (${objectName})`,
+              name: t("masksAndZones.objectMaskLabel", {
+                number: globalObjectMasksCount + index + 1,
+                label: getTranslatedLabel(objectName),
+              }),
               objects: [objectName],
               points: interpolatePoints(
                 parseCoordinates(maskItem),
@@ -316,6 +343,7 @@ export default function MasksAndZonesView({
                 scaledWidth,
                 scaledHeight,
               ),
+              distances: [],
               isFinished: true,
               color: [128, 128, 128],
             };
@@ -366,9 +394,51 @@ export default function MasksAndZonesView({
     }
   }, [selectedCamera]);
 
+  useSearchEffect("object_mask", (coordinates: string) => {
+    if (!scaledWidth || !scaledHeight || isLoading) {
+      return false;
+    }
+    // convert box points string to points array
+    const points = coordinates.split(",").map((p) => parseFloat(p));
+
+    const [x1, y1, w, h] = points;
+
+    // bottom center
+    const centerX = x1 + w / 2;
+    const bottomY = y1 + h;
+
+    const centerXAbs = centerX * scaledWidth;
+    const bottomYAbs = bottomY * scaledHeight;
+
+    // padding and clamp
+    const minPadding = 0.1 * w * scaledWidth;
+    const maxPadding = 0.3 * w * scaledWidth;
+    const padding = Math.min(
+      Math.max(minPadding, 0.15 * w * scaledWidth),
+      maxPadding,
+    );
+
+    const top = Math.max(0, bottomYAbs - padding);
+    const bottom = Math.min(scaledHeight, bottomYAbs + padding);
+    const left = Math.max(0, centerXAbs - padding);
+    const right = Math.min(scaledWidth, centerXAbs + padding);
+
+    const paddedBox = [
+      [left, top],
+      [right, top],
+      [right, bottom],
+      [left, bottom],
+    ];
+
+    setEditPane("object_mask");
+    setActivePolygonIndex(undefined);
+    handleNewPolygon("object_mask", paddedBox);
+    return true;
+  });
+
   useEffect(() => {
-    document.title = "Mask and Zone Editor - Frigate";
-  }, []);
+    document.title = t("documentTitle.masksAndZones");
+  }, [t]);
 
   if (!cameraConfig && !selectedCamera) {
     return <ActivityIndicator />;
@@ -391,6 +461,9 @@ export default function MasksAndZonesView({
                 setIsLoading={setIsLoading}
                 onCancel={handleCancel}
                 onSave={handleSave}
+                setActiveLine={setActiveLine}
+                snapPoints={snapPoints}
+                setSnapPoints={setSnapPoints}
               />
             )}
             {editPane == "motion_mask" && (
@@ -404,6 +477,8 @@ export default function MasksAndZonesView({
                 setIsLoading={setIsLoading}
                 onCancel={handleCancel}
                 onSave={handleSave}
+                snapPoints={snapPoints}
+                setSnapPoints={setSnapPoints}
               />
             )}
             {editPane == "object_mask" && (
@@ -417,12 +492,14 @@ export default function MasksAndZonesView({
                 setIsLoading={setIsLoading}
                 onCancel={handleCancel}
                 onSave={handleSave}
+                snapPoints={snapPoints}
+                setSnapPoints={setSnapPoints}
               />
             )}
             {editPane === undefined && (
               <>
                 <Heading as="h3" className="my-2">
-                  Masks / Zones
+                  {t("menu.masksAndZones")}
                 </Heading>
                 <div className="flex w-full flex-col">
                   {(selectedZoneMask === undefined ||
@@ -431,23 +508,21 @@ export default function MasksAndZonesView({
                       <div className="my-3 flex flex-row items-center justify-between">
                         <HoverCard>
                           <HoverCardTrigger asChild>
-                            <div className="text-md cursor-default">Zones</div>
+                            <div className="text-md cursor-default">
+                              {t("masksAndZones.zones.label")}
+                            </div>
                           </HoverCardTrigger>
                           <HoverCardContent>
                             <div className="my-2 flex flex-col gap-2 text-sm text-primary-variant">
-                              <p>
-                                Zones allow you to define a specific area of the
-                                frame so you can determine whether or not an
-                                object is within a particular area.
-                              </p>
+                              <p>{t("masksAndZones.zones.desc.title")}</p>
                               <div className="flex items-center text-primary">
                                 <Link
-                                  to="https://docs.frigate.video/configuration/zones"
+                                  to={getLocaleDocUrl("configuration/zones")}
                                   target="_blank"
                                   rel="noopener noreferrer"
                                   className="inline"
                                 >
-                                  Documentation{" "}
+                                  {t("masksAndZones.zones.desc.documentation")}{" "}
                                   <LuExternalLink className="ml-2 inline-flex size-3" />
                                 </Link>
                               </div>
@@ -459,7 +534,7 @@ export default function MasksAndZonesView({
                             <Button
                               variant="secondary"
                               className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
-                              aria-label="Add a new zone"
+                              aria-label={t("masksAndZones.zones.add")}
                               onClick={() => {
                                 setEditPane("zone");
                                 handleNewPolygon("zone");
@@ -468,7 +543,9 @@ export default function MasksAndZonesView({
                               <LuPlus />
                             </Button>
                           </TooltipTrigger>
-                          <TooltipContent>Add Zone</TooltipContent>
+                          <TooltipContent>
+                            {t("masksAndZones.zones.add")}
+                          </TooltipContent>
                         </Tooltip>
                       </div>
                       {allPolygons
@@ -498,25 +575,24 @@ export default function MasksAndZonesView({
                         <HoverCard>
                           <HoverCardTrigger asChild>
                             <div className="text-md cursor-default">
-                              Motion Masks
+                              {t("masksAndZones.motionMasks.label")}
                             </div>
                           </HoverCardTrigger>
                           <HoverCardContent>
                             <div className="my-2 flex flex-col gap-2 text-sm text-primary-variant">
-                              <p>
-                                Motion masks are used to prevent unwanted types
-                                of motion from triggering detection. Over
-                                masking will make it more difficult for objects
-                                to be tracked.
-                              </p>
+                              <p>{t("masksAndZones.motionMasks.desc.title")}</p>
                               <div className="flex items-center text-primary">
                                 <Link
-                                  to="https://docs.frigate.video/configuration/masks#motion-masks"
+                                  to={getLocaleDocUrl(
+                                    "configuration/masks#motion-masks",
+                                  )}
                                   target="_blank"
                                   rel="noopener noreferrer"
                                   className="inline"
                                 >
-                                  Documentation{" "}
+                                  {t(
+                                    "masksAndZones.motionMasks.desc.documentation",
+                                  )}{" "}
                                   <LuExternalLink className="ml-2 inline-flex size-3" />
                                 </Link>
                               </div>
@@ -528,7 +604,7 @@ export default function MasksAndZonesView({
                             <Button
                               variant="secondary"
                               className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
-                              aria-label="Add a new motion mask"
+                              aria-label={t("masksAndZones.motionMasks.add")}
                               onClick={() => {
                                 setEditPane("motion_mask");
                                 handleNewPolygon("motion_mask");
@@ -537,7 +613,9 @@ export default function MasksAndZonesView({
                               <LuPlus />
                             </Button>
                           </TooltipTrigger>
-                          <TooltipContent>Add Motion Mask</TooltipContent>
+                          <TooltipContent>
+                            {t("masksAndZones.motionMasks.add")}
+                          </TooltipContent>
                         </Tooltip>
                       </div>
                       {allPolygons
@@ -569,24 +647,24 @@ export default function MasksAndZonesView({
                         <HoverCard>
                           <HoverCardTrigger asChild>
                             <div className="text-md cursor-default">
-                              Object Masks
+                              {t("masksAndZones.objectMasks.label")}
                             </div>
                           </HoverCardTrigger>
                           <HoverCardContent>
                             <div className="my-2 flex flex-col gap-2 text-sm text-primary-variant">
-                              <p>
-                                Object filter masks are used to filter out false
-                                positives for a given object type based on
-                                location.
-                              </p>
+                              <p>{t("masksAndZones.objectMasks.desc.title")}</p>
                               <div className="flex items-center text-primary">
                                 <Link
-                                  to="https://docs.frigate.video/configuration/masks#object-filter-masks"
+                                  to={getLocaleDocUrl(
+                                    "configuration/masks#object-filter-masks",
+                                  )}
                                   target="_blank"
                                   rel="noopener noreferrer"
                                   className="inline"
                                 >
-                                  Documentation{" "}
+                                  {t(
+                                    "masksAndZones.objectMasks.desc.documentation",
+                                  )}{" "}
                                   <LuExternalLink className="ml-2 inline-flex size-3" />
                                 </Link>
                               </div>
@@ -598,7 +676,7 @@ export default function MasksAndZonesView({
                             <Button
                               variant="secondary"
                               className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
-                              aria-label="Add a new object mask"
+                              aria-label={t("masksAndZones.objectMasks.add")}
                               onClick={() => {
                                 setEditPane("object_mask");
                                 handleNewPolygon("object_mask");
@@ -607,7 +685,9 @@ export default function MasksAndZonesView({
                               <LuPlus />
                             </Button>
                           </TooltipTrigger>
-                          <TooltipContent>Add Object Mask</TooltipContent>
+                          <TooltipContent>
+                            {t("masksAndZones.objectMasks.add")}
+                          </TooltipContent>
                         </Tooltip>
                       </div>
                       {allPolygons
@@ -653,6 +733,8 @@ export default function MasksAndZonesView({
                   activePolygonIndex={activePolygonIndex}
                   hoveredPolygonIndex={hoveredPolygonIndex}
                   selectedZoneMask={selectedZoneMask}
+                  activeLine={activeLine}
+                  snapPoints={snapPoints}
                 />
               ) : (
                 <Skeleton className="size-full" />
diff --git a/web/src/views/settings/MotionTunerView.tsx b/web/src/views/settings/MotionTunerView.tsx
index 6ccdfbf27..ec75298eb 100644
--- a/web/src/views/settings/MotionTunerView.tsx
+++ b/web/src/views/settings/MotionTunerView.tsx
@@ -21,6 +21,8 @@ import { Separator } from "@/components/ui/separator";
 import { Link } from "react-router-dom";
 import { LuExternalLink } from "react-icons/lu";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 type MotionTunerViewProps = {
   selectedCamera: string;
@@ -37,6 +39,8 @@ export default function MotionTunerView({
   selectedCamera,
   setUnsavedChanges,
 }: MotionTunerViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
   const [changedValue, setChangedValue] = useState(false);
@@ -117,20 +121,29 @@ export default function MotionTunerView({
       )
       .then((res) => {
         if (res.status === 200) {
-          toast.success("Motion settings have been saved.", {
+          toast.success(t("motionDetectionTuner.toast.success"), {
             position: "top-center",
           });
           setChangedValue(false);
           updateConfig();
         } else {
-          toast.error(`Failed to save config changes: ${res.statusText}`, {
-            position: "top-center",
-          });
+          toast.error(
+            t("toast.save.error.title", {
+              errorMessage: res.statusText,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
+          );
         }
       })
       .catch((error) => {
         toast.error(
-          `Failed to save config changes: ${error.response.data.message}`,
+          t("toast.save.error.title", {
+            errorMessage: error.response.data.message,
+            ns: "common",
+          }),
           { position: "top-center" },
         );
       })
@@ -143,6 +156,7 @@ export default function MotionTunerView({
     motionSettings.contour_area,
     motionSettings.improve_contrast,
     selectedCamera,
+    t,
   ]);
 
   const onCancel = useCallback(() => {
@@ -155,7 +169,7 @@ export default function MotionTunerView({
     if (changedValue) {
       addMessage(
         "motion_tuner",
-        `Unsaved motion tuner changes (${selectedCamera})`,
+        t("motionDetectionTuner.unsavedChanges", { camera: selectedCamera }),
         undefined,
         `motion_tuner_${selectedCamera}`,
       );
@@ -167,8 +181,8 @@ export default function MotionTunerView({
   }, [changedValue, selectedCamera]);
 
   useEffect(() => {
-    document.title = "Motion Tuner - Frigate";
-  }, []);
+    document.title = t("documentTitle.motionTuner");
+  }, [t]);
 
   if (!cameraConfig && !selectedCamera) {
     return <ActivityIndicator />;
@@ -179,23 +193,19 @@ export default function MotionTunerView({
       <Toaster position="top-center" closeButton={true} />
       <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0 md:w-3/12">
         <Heading as="h3" className="my-2">
-          Motion Detection Tuner
+          {t("motionDetectionTuner.title")}
         </Heading>
         <div className="my-3 space-y-3 text-sm text-muted-foreground">
-          <p>
-            Frigate uses motion detection as a first line check to see if there
-            is anything happening in the frame worth checking with object
-            detection.
-          </p>
+          <p>{t("motionDetectionTuner.desc.title")}</p>
 
           <div className="flex items-center text-primary">
             <Link
-              to="https://docs.frigate.video/configuration/motion_detection"
+              to={getLocaleDocUrl("configuration/motion_detection")}
               target="_blank"
               rel="noopener noreferrer"
               className="inline"
             >
-              Read the Motion Tuning Guide{" "}
+              {t("motionDetectionTuner.desc.documentation")}{" "}
               <LuExternalLink className="ml-2 inline-flex size-3" />
             </Link>
           </div>
@@ -205,14 +215,12 @@ export default function MotionTunerView({
           <div className="mt-2 space-y-6">
             <div className="space-y-0.5">
               <Label htmlFor="motion-threshold" className="text-md">
-                Threshold
+                {t("motionDetectionTuner.Threshold.title")}
               </Label>
               <div className="my-2 text-sm text-muted-foreground">
-                <p>
-                  The threshold value dictates how much of a change in a pixel's
-                  luminance is required to be considered motion.{" "}
-                  <em>Default: 30</em>
-                </p>
+                <Trans ns="views/settings">
+                  motionDetectionTuner.Threshold.desc
+                </Trans>
               </div>
             </div>
             <div className="flex flex-row justify-between">
@@ -236,12 +244,13 @@ export default function MotionTunerView({
           <div className="mt-2 space-y-6">
             <div className="space-y-0.5">
               <Label htmlFor="motion-threshold" className="text-md">
-                Contour Area
+                {t("motionDetectionTuner.contourArea.title")}
               </Label>
               <div className="my-2 text-sm text-muted-foreground">
                 <p>
-                  The contour area value is used to decide which groups of
-                  changed pixels qualify as motion. <em>Default: 10</em>
+                  <Trans ns="views/settings">
+                    motionDetectionTuner.contourArea.desc
+                  </Trans>
                 </p>
               </div>
             </div>
@@ -266,9 +275,13 @@ export default function MotionTunerView({
           <Separator className="my-2 flex bg-secondary" />
           <div className="flex flex-row items-center justify-between">
             <div className="space-y-0.5">
-              <Label htmlFor="improve-contrast">Improve Contrast</Label>
+              <Label htmlFor="improve-contrast">
+                {t("motionDetectionTuner.improveContrast.title")}
+              </Label>
               <div className="text-sm text-muted-foreground">
-                Improve contrast for darker scenes. <em>Default: ON</em>
+                <Trans ns="views/settings">
+                  motionDetectionTuner.improveContrast.desc
+                </Trans>
               </div>
             </div>
             <Switch
@@ -286,25 +299,25 @@ export default function MotionTunerView({
           <div className="flex flex-row gap-2 pt-5">
             <Button
               className="flex flex-1"
-              aria-label="Reset"
+              aria-label={t("button.reset", { ns: "common" })}
               onClick={onCancel}
             >
-              Reset
+              {t("button.reset", { ns: "common" })}
             </Button>
             <Button
               variant="select"
               disabled={!changedValue || isLoading}
               className="flex flex-1"
-              aria-label="Save"
+              aria-label={t("button.save", { ns: "common" })}
               onClick={saveToConfig}
             >
               {isLoading ? (
                 <div className="flex flex-row items-center gap-2">
                   <ActivityIndicator />
-                  <span>Saving...</span>
+                  <span>{t("button.saving", { ns: "common" })}</span>
                 </div>
               ) : (
-                "Save"
+                t("button.save", { ns: "common" })
               )}
             </Button>
           </div>
@@ -312,7 +325,7 @@ export default function MotionTunerView({
       </div>
 
       {cameraConfig ? (
-        <div className="flex md:h-dvh md:max-h-full md:w-7/12 md:grow">
+        <div className="flex max-h-[70%] md:h-dvh md:max-h-full md:w-7/12 md:grow">
           <div className="size-full min-h-10">
             <AutoUpdatingCameraImage
               camera={cameraConfig.name}
diff --git a/web/src/views/settings/NotificationsSettingsView.tsx b/web/src/views/settings/NotificationsSettingsView.tsx
index 751817245..ab0241e24 100644
--- a/web/src/views/settings/NotificationsSettingsView.tsx
+++ b/web/src/views/settings/NotificationsSettingsView.tsx
@@ -14,24 +14,45 @@ import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { Separator } from "@/components/ui/separator";
 import { Toaster } from "@/components/ui/sonner";
-import { Switch } from "@/components/ui/switch";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { zodResolver } from "@hookform/resolvers/zod";
 import axios from "axios";
-import { useCallback, useContext, useEffect, useState } from "react";
+
+import { useCallback, useContext, useEffect, useMemo, useState } from "react";
 import { useForm } from "react-hook-form";
-import { LuExternalLink } from "react-icons/lu";
+
+import { LuCheck, LuExternalLink, LuX } from "react-icons/lu";
+import { CiCircleAlert } from "react-icons/ci";
 import { Link } from "react-router-dom";
 import { toast } from "sonner";
 import useSWR from "swr";
 import { z } from "zod";
+import {
+  useNotifications,
+  useNotificationSuspend,
+  useNotificationTest,
+} from "@/api/ws";
+import {
+  Select,
+  SelectTrigger,
+  SelectValue,
+  SelectContent,
+  SelectItem,
+} from "@/components/ui/select";
+import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import FilterSwitch from "@/components/filter/FilterSwitch";
+import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
+import { Trans, useTranslation } from "react-i18next";
+import { useDateLocale } from "@/hooks/use-date-locale";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 
 const NOTIFICATION_SERVICE_WORKER = "notifications-worker.js";
 
 type NotificationSettingsValueType = {
-  enabled: boolean;
+  allEnabled: boolean;
   email?: string;
+  cameras: string[];
 };
 
 type NotificationsSettingsViewProps = {
@@ -40,6 +61,9 @@ type NotificationsSettingsViewProps = {
 export default function NotificationView({
   setUnsavedChanges,
 }: NotificationsSettingsViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
   const { data: config, mutate: updateConfig } = useSWR<FrigateConfig>(
     "config",
     {
@@ -47,56 +71,52 @@ export default function NotificationView({
     },
   );
 
+  const allCameras = useMemo(() => {
+    if (!config) {
+      return [];
+    }
+
+    return Object.values(config.cameras).sort(
+      (aConf, bConf) => aConf.ui.order - bConf.ui.order,
+    );
+  }, [config]);
+
+  const notificationCameras = useMemo(() => {
+    if (!config) {
+      return [];
+    }
+
+    return Object.values(config.cameras)
+      .filter(
+        (conf) =>
+          conf.enabled_in_config &&
+          conf.notifications &&
+          conf.notifications.enabled_in_config,
+      )
+      .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
+  }, [config]);
+
+  const { send: sendTestNotification } = useNotificationTest();
+
   // status bar
 
   const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
+  const [changedValue, setChangedValue] = useState(false);
 
-  // notification key handling
-
-  const { data: publicKey } = useSWR(
-    config?.notifications?.enabled ? "notifications/pubkey" : null,
-    { revalidateOnFocus: false },
-  );
-
-  const subscribeToNotifications = useCallback(
-    (registration: ServiceWorkerRegistration) => {
-      if (registration) {
-        addMessage(
-          "notification_settings",
-          "Unsaved Notification Registrations",
-          undefined,
-          "registration",
-        );
-
-        registration.pushManager
-          .subscribe({
-            userVisibleOnly: true,
-            applicationServerKey: publicKey,
-          })
-          .then((pushSubscription) => {
-            axios
-              .post("notifications/register", {
-                sub: pushSubscription,
-              })
-              .catch(() => {
-                toast.error("Failed to save notification registration.", {
-                  position: "top-center",
-                });
-                pushSubscription.unsubscribe();
-                registration.unregister();
-                setRegistration(null);
-              });
-            toast.success(
-              "Successfully registered for notifications. Restart to start receiving notifications.",
-              {
-                position: "top-center",
-              },
-            );
-          });
-      }
-    },
-    [publicKey, addMessage],
-  );
+  useEffect(() => {
+    if (changedValue) {
+      addMessage(
+        "notification_settings",
+        t("notification.unsavedChanges"),
+        undefined,
+        `notification_settings`,
+      );
+    } else {
+      removeMessage("notification_settings", `notification_settings`);
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [changedValue]);
 
   // notification state
 
@@ -104,6 +124,9 @@ export default function NotificationView({
     useState<ServiceWorkerRegistration | null>();
 
   useEffect(() => {
+    if (!("Notification" in window) || !window.isSecureContext) {
+      return;
+    }
     navigator.serviceWorker
       .getRegistration(NOTIFICATION_SERVICE_WORKER)
       .then((worker) => {
@@ -122,28 +145,106 @@ export default function NotificationView({
 
   const [isLoading, setIsLoading] = useState(false);
   const formSchema = z.object({
-    enabled: z.boolean(),
+    allEnabled: z.boolean(),
     email: z.string(),
+    cameras: z.array(z.string()),
   });
 
   const form = useForm<z.infer<typeof formSchema>>({
     resolver: zodResolver(formSchema),
     mode: "onChange",
     defaultValues: {
-      enabled: config?.notifications.enabled,
+      allEnabled: config?.notifications.enabled,
       email: config?.notifications.email,
+      cameras: config?.notifications.enabled
+        ? []
+        : notificationCameras.map((c) => c.name),
     },
   });
 
+  const watchAllEnabled = form.watch("allEnabled");
+  const watchCameras = form.watch("cameras");
+
+  const anyCameraNotificationsEnabled = useMemo(
+    () =>
+      config &&
+      Object.values(config.cameras).some(
+        (c) =>
+          c.enabled_in_config &&
+          c.notifications &&
+          c.notifications.enabled_in_config,
+      ),
+    [config],
+  );
+
+  const shouldFetchPubKey = Boolean(
+    config &&
+      (config.notifications?.enabled || anyCameraNotificationsEnabled) &&
+      (watchAllEnabled ||
+        (Array.isArray(watchCameras) && watchCameras.length > 0)),
+  );
+
+  const { data: publicKey } = useSWR(
+    shouldFetchPubKey ? "notifications/pubkey" : null,
+    { revalidateOnFocus: false },
+  );
+
+  const subscribeToNotifications = useCallback(
+    (registration: ServiceWorkerRegistration) => {
+      if (registration) {
+        addMessage(
+          "notification_settings",
+          t("notification.unsavedRegistrations"),
+          undefined,
+          "registration",
+        );
+
+        registration.pushManager
+          .subscribe({
+            userVisibleOnly: true,
+            applicationServerKey: publicKey,
+          })
+          .then((pushSubscription) => {
+            axios
+              .post("notifications/register", {
+                sub: pushSubscription,
+              })
+              .catch(() => {
+                toast.error(t("notification.toast.error.registerFailed"), {
+                  position: "top-center",
+                });
+                pushSubscription.unsubscribe();
+                registration.unregister();
+                setRegistration(null);
+              });
+            toast.success(t("notification.toast.success.registered"), {
+              position: "top-center",
+            });
+          });
+      }
+    },
+    [publicKey, addMessage, t],
+  );
+
+  useEffect(() => {
+    if (watchCameras.length > 0) {
+      form.setValue("allEnabled", false);
+    }
+  }, [watchCameras, allCameras, form]);
+
   const onCancel = useCallback(() => {
     if (!config) {
       return;
     }
 
     setUnsavedChanges(false);
+    setChangedValue(false);
     form.reset({
-      enabled: config.notifications.enabled,
+      allEnabled: config.notifications.enabled,
       email: config.notifications.email || "",
+      cameras: config?.notifications.enabled
+        ? []
+        : notificationCameras.map((c) => c.name),
     });
     // we know that these deps are correct
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -151,38 +252,66 @@ export default function NotificationView({
 
   const saveToConfig = useCallback(
     async (
-      { enabled, email }: NotificationSettingsValueType, // values submitted via the form
+      { allEnabled, email, cameras }: NotificationSettingsValueType, // values submitted via the form
     ) => {
+      const allCameraNames = allCameras.map((cam) => cam.name);
+
+      const enabledCameraQueries = cameras
+        .map((cam) => `&cameras.${cam}.notifications.enabled=True`)
+        .join("");
+
+      const disabledCameraQueries = allCameraNames
+        .filter((cam) => !cameras.includes(cam))
+        .map(
+          (cam) =>
+            `&cameras.${cam}.notifications.enabled=${allEnabled ? "True" : "False"}`,
+        )
+        .join("");
+
+      const allCameraQueries = enabledCameraQueries + disabledCameraQueries;
+
       axios
         .put(
-          `config/set?notifications.enabled=${enabled}&notifications.email=${email}`,
+          `config/set?notifications.enabled=${allEnabled ? "True" : "False"}&notifications.email=${email}${allCameraQueries}`,
           {
             requires_restart: 0,
           },
         )
         .then((res) => {
           if (res.status === 200) {
-            toast.success("Notification settings have been saved.", {
+            toast.success(t("notification.toast.success.settingSaved"), {
               position: "top-center",
             });
             updateConfig();
           } else {
-            toast.error(`Failed to save config changes: ${res.statusText}`, {
-              position: "top-center",
-            });
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to save config changes: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("toast.save.error.title", { errorMessage, ns: "common" }),
+            {
+              position: "top-center",
+            },
           );
         })
         .finally(() => {
           setIsLoading(false);
         });
     },
-    [updateConfig, setIsLoading],
+    [updateConfig, setIsLoading, allCameras, t],
   );
 
   function onSubmit(values: z.infer<typeof formSchema>) {
@@ -190,154 +319,305 @@ export default function NotificationView({
     saveToConfig(values as NotificationSettingsValueType);
   }
 
+  useEffect(() => {
+    document.title = t("documentTitle.notifications");
+  }, [t]);
+
+  if (!("Notification" in window) || !window.isSecureContext) {
+    return (
+      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
+        <div className="grid w-full grid-cols-1 gap-4 md:grid-cols-2">
+          <div className="col-span-1">
+            <Heading as="h3" className="my-2">
+              {t("notification.notificationSettings.title")}
+            </Heading>
+            <div className="max-w-6xl">
+              <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+                <p>{t("notification.notificationSettings.desc")}</p>
+                <div className="flex items-center text-primary">
+                  <Link
+                    to={getLocaleDocUrl("configuration/notifications")}
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="inline"
+                  >
+                    {t("notification.notificationSettings.documentation")}{" "}
+                    <LuExternalLink className="ml-2 inline-flex size-3" />
+                  </Link>
+                </div>
+              </div>
+            </div>
+            <Alert variant="destructive">
+              <CiCircleAlert className="size-5" />
+              <AlertTitle>
+                {t("notification.notificationUnavailable.title")}
+              </AlertTitle>
+              <AlertDescription>
+                <Trans ns="views/settings">
+                  notification.notificationUnavailable.desc
+                </Trans>
+                <div className="mt-3 flex items-center">
+                  <Link
+                    to={getLocaleDocUrl("configuration/authentication")}
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="inline"
+                  >
+                    {t("notification.notificationUnavailable.documentation")}{" "}
+                    <LuExternalLink className="ml-2 inline-flex size-3" />
+                  </Link>
+                </div>
+              </AlertDescription>
+            </Alert>
+          </div>
+        </div>
+      </div>
+    );
+  }
+
   return (
     <>
       <div className="flex size-full flex-col md:flex-row">
         <Toaster position="top-center" closeButton={true} />
         <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
-          <Heading as="h3" className="my-2">
-            Notification Settings
-          </Heading>
+          <div className="grid w-full grid-cols-1 gap-4 md:grid-cols-2">
+            <div className="col-span-1">
+              <Heading as="h3" className="my-2">
+                {t("notification.notificationSettings.title")}
+              </Heading>
 
-          <div className="max-w-6xl">
-            <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
-              <p>
-                Frigate can natively send push notifications to your device when
-                it is running in the browser or installed as a PWA.
-              </p>
-              <div className="flex items-center text-primary">
-                <Link
-                  to="https://docs.frigate.video/configuration/notifications"
-                  target="_blank"
-                  rel="noopener noreferrer"
-                  className="inline"
-                >
-                  Read the Documentation{" "}
-                  <LuExternalLink className="ml-2 inline-flex size-3" />
-                </Link>
+              <div className="max-w-6xl">
+                <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+                  <p>{t("notification.notificationSettings.desc")}</p>
+                  <div className="flex items-center text-primary">
+                    <Link
+                      to={getLocaleDocUrl("configuration/notifications")}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="inline"
+                    >
+                      {t("notification.notificationSettings.documentation")}{" "}
+                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                    </Link>
+                  </div>
+                </div>
               </div>
+
+              <Form {...form}>
+                <form
+                  onSubmit={form.handleSubmit(onSubmit)}
+                  className="mt-2 space-y-6"
+                >
+                  <FormField
+                    control={form.control}
+                    name="email"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormLabel>{t("notification.email.title")}</FormLabel>
+                        <FormControl>
+                          <Input
+                            className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark] md:w-72"
+                            placeholder={t("notification.email.placeholder")}
+                            {...field}
+                          />
+                        </FormControl>
+                        <FormDescription>
+                          {t("notification.email.desc")}
+                        </FormDescription>
+                        <FormMessage />
+                      </FormItem>
+                    )}
+                  />
+
+                  <FormField
+                    control={form.control}
+                    name="cameras"
+                    render={({ field }) => (
+                      <FormItem>
+                        {allCameras && allCameras?.length > 0 ? (
+                          <>
+                            <div className="mb-2">
+                              <FormLabel className="flex flex-row items-center text-base">
+                                {t("notification.cameras.title")}
+                              </FormLabel>
+                            </div>
+                            <div className="max-w-md space-y-2 rounded-lg bg-secondary p-4">
+                              <FormField
+                                control={form.control}
+                                name="allEnabled"
+                                render={({ field }) => (
+                                  <FilterSwitch
+                                    label={t("cameras.all.title", {
+                                      ns: "components/filter",
+                                    })}
+                                    isChecked={field.value}
+                                    onCheckedChange={(checked) => {
+                                      setChangedValue(true);
+                                      if (checked) {
+                                        form.setValue("cameras", []);
+                                      }
+                                      field.onChange(checked);
+                                    }}
+                                  />
+                                )}
+                              />
+                              {allCameras?.map((camera) => (
+                                <FilterSwitch
+                                  key={camera.name}
+                                  label={camera.name.replaceAll("_", " ")}
+                                  isChecked={field.value?.includes(camera.name)}
+                                  onCheckedChange={(checked) => {
+                                    setChangedValue(true);
+                                    let newCameras;
+                                    if (checked) {
+                                      newCameras = [
+                                        ...field.value,
+                                        camera.name,
+                                      ];
+                                    } else {
+                                      newCameras = field.value?.filter(
+                                        (value) => value !== camera.name,
+                                      );
+                                    }
+                                    field.onChange(newCameras);
+                                    form.setValue("allEnabled", false);
+                                  }}
+                                />
+                              ))}
+                            </div>
+                          </>
+                        ) : (
+                          <div className="font-normal text-destructive">
+                            {t("notification.cameras.noCameras")}
+                          </div>
+                        )}
+
+                        <FormMessage />
+                        <FormDescription>
+                          {t("notification.cameras.desc")}
+                        </FormDescription>
+                      </FormItem>
+                    )}
+                  />
+
+                  <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[50%]">
+                    <Button
+                      className="flex flex-1"
+                      aria-label={t("button.cancel", { ns: "common" })}
+                      onClick={onCancel}
+                      type="button"
+                    >
+                      {t("button.cancel", { ns: "common" })}
+                    </Button>
+                    <Button
+                      variant="select"
+                      disabled={isLoading}
+                      className="flex flex-1"
+                      aria-label={t("button.save", { ns: "common" })}
+                      type="submit"
+                    >
+                      {isLoading ? (
+                        <div className="flex flex-row items-center gap-2">
+                          <ActivityIndicator />
+                          <span>{t("button.saving", { ns: "common" })}</span>
+                        </div>
+                      ) : (
+                        t("button.save", { ns: "common" })
+                      )}
+                    </Button>
+                  </div>
+                </form>
+              </Form>
             </div>
-          </div>
 
-          <Form {...form}>
-            <form
-              onSubmit={form.handleSubmit(onSubmit)}
-              className="mt-2 space-y-6"
-            >
-              <FormField
-                control={form.control}
-                name="enabled"
-                render={({ field }) => (
-                  <FormItem>
-                    <FormControl>
-                      <div className="flex flex-row items-center justify-start gap-2">
-                        <Label className="cursor-pointer" htmlFor="auto-live">
-                          Notifications
-                        </Label>
-                        <Switch
-                          id="auto-live"
-                          checked={field.value}
-                          onCheckedChange={(checked) => {
-                            return field.onChange(checked);
-                          }}
-                        />
-                      </div>
-                    </FormControl>
-                  </FormItem>
-                )}
-              />
-              <FormField
-                control={form.control}
-                name="email"
-                render={({ field }) => (
-                  <FormItem>
-                    <FormLabel>Email</FormLabel>
-                    <FormControl>
-                      <Input
-                        className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark] md:w-72"
-                        placeholder="example@email.com"
-                        {...field}
-                      />
-                    </FormControl>
-                    <FormDescription>
-                      Entering a valid email is required, as this is used by the
-                      push server in case problems occur.
-                    </FormDescription>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-              <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
-                <Button
-                  className="flex flex-1"
-                  aria-label="Cancel"
-                  onClick={onCancel}
-                  type="button"
-                >
-                  Cancel
-                </Button>
-                <Button
-                  variant="select"
-                  disabled={isLoading}
-                  className="flex flex-1"
-                  aria-label="Save"
-                  type="submit"
-                >
-                  {isLoading ? (
-                    <div className="flex flex-row items-center gap-2">
-                      <ActivityIndicator />
-                      <span>Saving...</span>
-                    </div>
-                  ) : (
-                    "Save"
-                  )}
-                </Button>
-              </div>
-            </form>
-          </Form>
+            <div className="col-span-1">
+              <div className="mt-4 gap-2 space-y-6">
+                <div className="flex flex-col gap-2 md:max-w-[50%]">
+                  <Separator className="my-2 flex bg-secondary md:hidden" />
+                  <Heading as="h4" className="my-2">
+                    {t("notification.deviceSpecific")}
+                  </Heading>
+                  <Button
+                    aria-label={t("notification.registerDevice")}
+                    disabled={!shouldFetchPubKey || publicKey == undefined}
+                    onClick={() => {
+                      if (registration == null) {
+                        Notification.requestPermission().then((permission) => {
+                          if (permission === "granted") {
+                            navigator.serviceWorker
+                              .register(NOTIFICATION_SERVICE_WORKER)
+                              .then((registration) => {
+                                setRegistration(registration);
 
-          <div className="mt-4 space-y-6">
-            <div className="space-y-3">
-              <Separator className="my-2 flex bg-secondary" />
-              <Button
-                aria-label="Register or unregister notifications for this device"
-                disabled={
-                  !config?.notifications.enabled || publicKey == undefined
-                }
-                onClick={() => {
-                  if (registration == null) {
-                    Notification.requestPermission().then((permission) => {
-                      if (permission === "granted") {
-                        navigator.serviceWorker
-                          .register(NOTIFICATION_SERVICE_WORKER)
-                          .then((registration) => {
-                            setRegistration(registration);
-
-                            if (registration.active) {
-                              subscribeToNotifications(registration);
-                            } else {
-                              setTimeout(
-                                () => subscribeToNotifications(registration),
-                                1000,
-                              );
-                            }
+                                if (registration.active) {
+                                  subscribeToNotifications(registration);
+                                } else {
+                                  setTimeout(
+                                    () =>
+                                      subscribeToNotifications(registration),
+                                    1000,
+                                  );
+                                }
+                              });
+                          }
+                        });
+                      } else {
+                        registration.pushManager
+                          .getSubscription()
+                          .then((pushSubscription) => {
+                            pushSubscription?.unsubscribe();
+                            registration.unregister();
+                            setRegistration(null);
+                            removeMessage(
+                              "notification_settings",
+                              "registration",
+                            );
                           });
                       }
-                    });
-                  } else {
-                    registration.pushManager
-                      .getSubscription()
-                      .then((pushSubscription) => {
-                        pushSubscription?.unsubscribe();
-                        registration.unregister();
-                        setRegistration(null);
-                        removeMessage("notification_settings", "registration");
-                      });
-                  }
-                }}
-              >
-                {`${registration != null ? "Unregister" : "Register"} for notifications on this device`}
-              </Button>
+                    }}
+                  >
+                    {registration != null
+                      ? t("notification.unregisterDevice")
+                      : t("notification.registerDevice")}
+                  </Button>
+                  {registration != null && registration.active && (
+                    <Button
+                      aria-label={t("notification.sendTestNotification")}
+                      onClick={() => sendTestNotification("notification_test")}
+                    >
+                      {t("notification.sendTestNotification")}
+                    </Button>
+                  )}
+                </div>
+              </div>
+              {notificationCameras.length > 0 && (
+                <div className="mt-4 gap-2 space-y-6">
+                  <div className="space-y-3">
+                    <Separator className="my-2 flex bg-secondary" />
+                    <Heading as="h4" className="my-2">
+                      {t("notification.globalSettings.title")}
+                    </Heading>
+                    <div className="max-w-xl">
+                      <div className="mb-5 mt-2 flex flex-col gap-2 text-sm text-primary-variant">
+                        <p>{t("notification.globalSettings.desc")}</p>
+                      </div>
+                    </div>
+
+                    <div className="flex max-w-2xl flex-col gap-2.5">
+                      <div className="rounded-lg bg-secondary p-5">
+                        <div className="grid gap-6">
+                          {notificationCameras.map((item) => (
+                            <CameraNotificationSwitch
+                              config={config}
+                              camera={item.name}
+                            />
+                          ))}
+                        </div>
+                      </div>
+                    </div>
+                  </div>
+                </div>
+              )}
             </div>
           </div>
         </div>
@@ -345,3 +625,138 @@ export default function NotificationView({
     </>
   );
 }
+
+type CameraNotificationSwitchProps = {
+  config?: FrigateConfig;
+  camera: string;
+};
+
+export function CameraNotificationSwitch({
+  config,
+  camera,
+}: CameraNotificationSwitchProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { payload: notificationState, send: sendNotification } =
+    useNotifications(camera);
+  const { payload: notificationSuspendUntil, send: sendNotificationSuspend } =
+    useNotificationSuspend(camera);
+  const [isSuspended, setIsSuspended] = useState<boolean>(false);
+
+  useEffect(() => {
+    if (notificationSuspendUntil) {
+      setIsSuspended(
+        notificationSuspendUntil !== "0" || notificationState === "OFF",
+      );
+    }
+  }, [notificationSuspendUntil, notificationState]);
+
+  const handleSuspend = (duration: string) => {
+    setIsSuspended(true);
+    if (duration == "off") {
+      sendNotification("OFF");
+    } else {
+      sendNotificationSuspend(parseInt(duration));
+    }
+  };
+
+  const handleCancelSuspension = () => {
+    sendNotification("ON");
+    sendNotificationSuspend(0);
+  };
+
+  const locale = useDateLocale();
+
+  const formatSuspendedUntil = (timestamp: string) => {
+    // Some languages require a change in word order
+    if (timestamp === "0") return t("time.untilForRestart", { ns: "common" });
+
+    const time = formatUnixTimestampToDateTime(parseInt(timestamp), {
+      time_style: "medium",
+      date_style: "medium",
+      timezone: config?.ui.timezone,
+      date_format:
+        config?.ui.time_format == "24hour"
+          ? t("time.formattedTimestampMonthDayHourMinute.24hour", {
+              ns: "common",
+            })
+          : t("time.formattedTimestampMonthDayHourMinute.12hour", {
+              ns: "common",
+            }),
+      locale: locale,
+    });
+    return t("time.untilForTime", { ns: "common", time });
+  };
+
+  return (
+    <div className="flex items-center justify-between gap-2">
+      <div className="flex flex-col items-start justify-start">
+        <div className="flex flex-row items-center justify-start gap-3">
+          {!isSuspended ? (
+            <LuCheck className="size-6 text-success" />
+          ) : (
+            <LuX className="size-6 text-danger" />
+          )}
+          <div className="flex flex-col">
+            <Label
+              className="text-md cursor-pointer text-primary smart-capitalize"
+              htmlFor="camera"
+            >
+              {camera.replaceAll("_", " ")}
+            </Label>
+
+            {!isSuspended ? (
+              <div className="flex flex-row items-center gap-2 text-sm text-success">
+                {t("notification.active")}
+              </div>
+            ) : (
+              <div className="flex flex-row items-center gap-2 text-sm text-danger">
+                {t("notification.suspended", {
+                  time: formatSuspendedUntil(notificationSuspendUntil),
+                })}
+              </div>
+            )}
+          </div>
+        </div>
+      </div>
+
+      {!isSuspended ? (
+        <Select onValueChange={handleSuspend}>
+          <SelectTrigger className="w-auto">
+            <SelectValue placeholder={t("notification.suspendTime.suspend")} />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="5">
+              {t("notification.suspendTime.5minutes")}
+            </SelectItem>
+            <SelectItem value="10">
+              {t("notification.suspendTime.10minutes")}
+            </SelectItem>
+            <SelectItem value="30">
+              {t("notification.suspendTime.30minutes")}
+            </SelectItem>
+            <SelectItem value="60">
+              {t("notification.suspendTime.1hour")}
+            </SelectItem>
+            <SelectItem value="840">
+              {t("notification.suspendTime.12hours")}
+            </SelectItem>
+            <SelectItem value="1440">
+              {t("notification.suspendTime.24hours")}
+            </SelectItem>
+            <SelectItem value="off">
+              {t("notification.suspendTime.untilRestart")}
+            </SelectItem>
+          </SelectContent>
+        </Select>
+      ) : (
+        <Button
+          variant="destructive"
+          size="sm"
+          onClick={handleCancelSuspension}
+        >
+          {t("notification.cancelSuspension")}
+        </Button>
+      )}
+    </div>
+  );
+}
diff --git a/web/src/views/settings/ObjectSettingsView.tsx b/web/src/views/settings/ObjectSettingsView.tsx
index 7b8a08d2e..b666789d7 100644
--- a/web/src/views/settings/ObjectSettingsView.tsx
+++ b/web/src/views/settings/ObjectSettingsView.tsx
@@ -1,4 +1,4 @@
-import { useCallback, useEffect, useMemo } from "react";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import AutoUpdatingCameraImage from "@/components/camera/AutoUpdatingCameraImage";
 import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
@@ -24,6 +24,13 @@ import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { LuExternalLink, LuInfo } from "react-icons/lu";
 import { Link } from "react-router-dom";
 
+import DebugDrawingLayer from "@/components/overlay/DebugDrawingLayer";
+import { Separator } from "@/components/ui/separator";
+import { isDesktop } from "react-device-detect";
+import { Trans, useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { getTranslatedLabel } from "@/utils/i18n";
+
 type ObjectSettingsViewProps = {
   selectedCamera?: string;
 };
@@ -35,85 +42,56 @@ const emptyObject = Object.freeze({});
 export default function ObjectSettingsView({
   selectedCamera,
 }: ObjectSettingsViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+
+  const { getLocaleDocUrl } = useDocDomain();
+
   const { data: config } = useSWR<FrigateConfig>("config");
 
+  const containerRef = useRef<HTMLDivElement>(null);
+
   const DEBUG_OPTIONS = [
     {
       param: "bbox",
-      title: "Bounding boxes",
-      description: "Show bounding boxes around tracked objects",
+      title: t("debug.boundingBoxes.title"),
+      description: t("debug.boundingBoxes.desc"),
       info: (
         <>
           <p className="mb-2">
-            <strong>Object Bounding Box Colors</strong>
+            <strong>{t("debug.boundingBoxes.colors.label")}</strong>
           </p>
           <ul className="list-disc space-y-1 pl-5">
-            <li>
-              At startup, different colors will be assigned to each object label
-            </li>
-            <li>
-              A dark blue thin line indicates that object is not detected at
-              this current point in time
-            </li>
-            <li>
-              A gray thin line indicates that object is detected as being
-              stationary
-            </li>
-            <li>
-              A thick line indicates that object is the subject of autotracking
-              (when enabled)
-            </li>
+            <Trans ns="views/settings">debug.boundingBoxes.colors.info</Trans>
           </ul>
         </>
       ),
     },
     {
       param: "timestamp",
-      title: "Timestamp",
-      description: "Overlay a timestamp on the image",
+      title: t("debug.timestamp.title"),
+      description: t("debug.timestamp.desc"),
     },
     {
       param: "zones",
-      title: "Zones",
-      description: "Show an outline of any defined zones",
+      title: t("debug.zones.title"),
+      description: t("debug.zones.desc"),
     },
     {
       param: "mask",
-      title: "Motion masks",
-      description: "Show motion mask polygons",
+      title: t("debug.mask.title"),
+      description: t("debug.mask.desc"),
     },
     {
       param: "motion",
-      title: "Motion boxes",
-      description: "Show boxes around areas where motion is detected",
-      info: (
-        <>
-          <p className="mb-2">
-            <strong>Motion Boxes</strong>
-          </p>
-          <p>
-            Red boxes will be overlaid on areas of the frame where motion is
-            currently being detected
-          </p>
-        </>
-      ),
+      title: t("debug.motion.title"),
+      description: t("debug.motion.desc"),
+      info: <Trans ns="views/settings">debug.motion.tips</Trans>,
     },
     {
       param: "regions",
-      title: "Regions",
-      description:
-        "Show a box of the region of interest sent to the object detector",
-      info: (
-        <>
-          <p className="mb-2">
-            <strong>Region Boxes</strong>
-          </p>
-          <p>
-            Bright green boxes will be overlaid on areas of interest in the
-            frame that are being sent to the object detector.
-          </p>
-        </>
-      ),
+      title: t("debug.regions.title"),
+      description: t("debug.regions.desc"),
+      info: <Trans ns="views/settings">debug.regions.tips</Trans>,
     },
   ];
 
@@ -130,6 +108,12 @@ export default function ObjectSettingsView({
     [options, setOptions],
   );
 
+  const [debugDraw, setDebugDraw] = useState(false);
+
+  useEffect(() => {
+    setDebugDraw(false);
+  }, [selectedCamera]);
+
   const cameraConfig = useMemo(() => {
     if (config && selectedCamera) {
       return config.cameras[selectedCamera];
@@ -156,8 +140,8 @@ export default function ObjectSettingsView({
   }, [options, optionsLoaded]);
 
   useEffect(() => {
-    document.title = "Object Settings - Frigate";
-  }, []);
+    document.title = t("documentTitle.object");
+  }, [t]);
 
   if (!cameraConfig) {
     return <ActivityIndicator />;
@@ -168,25 +152,19 @@ export default function ObjectSettingsView({
       <Toaster position="top-center" closeButton={true} />
       <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0 md:w-3/12">
         <Heading as="h3" className="my-2">
-          Debug
+          {t("debug.title")}
         </Heading>
         <div className="mb-5 space-y-3 text-sm text-muted-foreground">
           <p>
-            Frigate uses your detectors{" "}
-            {config
-              ? "(" +
-                Object.keys(config?.detectors)
-                  .map((detector) => capitalizeFirstLetter(detector))
-                  .join(",") +
-                ")"
-              : ""}{" "}
-            to detect objects in your camera's video stream.
-          </p>
-          <p>
-            Debugging view shows a real-time view of tracked objects and their
-            statistics. The object list shows a time-delayed summary of detected
-            objects.
+            {t("debug.detectorDesc", {
+              detectors: config
+                ? Object.keys(config?.detectors)
+                    .map((detector) => capitalizeFirstLetter(detector))
+                    .join(",")
+                : "",
+            })}
           </p>
+          <p>{t("debug.desc")}</p>
         </div>
         {config?.cameras[cameraConfig.name]?.webui_url && (
           <div className="mb-5 text-sm text-muted-foreground">
@@ -206,8 +184,10 @@ export default function ObjectSettingsView({
 
         <Tabs defaultValue="debug" className="w-full">
           <TabsList className="grid w-full grid-cols-2">
-            <TabsTrigger value="debug">Debugging</TabsTrigger>
-            <TabsTrigger value="objectlist">Object List</TabsTrigger>
+            <TabsTrigger value="debug">{t("debug.debugging")}</TabsTrigger>
+            <TabsTrigger value="objectlist">
+              {t("debug.objectList")}
+            </TabsTrigger>
           </TabsList>
           <TabsContent value="debug">
             <div className="flex w-full flex-col space-y-6">
@@ -221,7 +201,7 @@ export default function ObjectSettingsView({
                       <div className="mb-2 flex flex-col">
                         <div className="flex items-center gap-2">
                           <Label
-                            className="mb-0 cursor-pointer capitalize text-primary"
+                            className="mb-0 cursor-pointer text-primary smart-capitalize"
                             htmlFor={param}
                           >
                             {title}
@@ -234,7 +214,7 @@ export default function ObjectSettingsView({
                                   <span className="sr-only">Info</span>
                                 </div>
                               </PopoverTrigger>
-                              <PopoverContent className="w-80">
+                              <PopoverContent className="w-80 text-sm">
                                 {info}
                               </PopoverContent>
                             </Popover>
@@ -256,18 +236,74 @@ export default function ObjectSettingsView({
                     </div>
                   ))}
                 </div>
+                {isDesktop && (
+                  <>
+                    <Separator className="my-2" />
+                    <div className="flex w-full flex-row items-center justify-between">
+                      <div className="mb-2 flex flex-col">
+                        <div className="flex items-center gap-2">
+                          <Label
+                            className="mb-0 cursor-pointer text-primary smart-capitalize"
+                            htmlFor="debugdraw"
+                          >
+                            {t("debug.objectShapeFilterDrawing.title")}
+                          </Label>
+
+                          <Popover>
+                            <PopoverTrigger asChild>
+                              <div className="cursor-pointer p-0">
+                                <LuInfo className="size-4" />
+                                <span className="sr-only">
+                                  {t("button.info", { ns: "common" })}
+                                </span>
+                              </div>
+                            </PopoverTrigger>
+                            <PopoverContent className="w-80 text-sm">
+                              {t("debug.objectShapeFilterDrawing.tips")}
+                              <div className="mt-2 flex items-center text-primary">
+                                <Link
+                                  to={getLocaleDocUrl(
+                                    "configuration/object_filters#object-shape",
+                                  )}
+                                  target="_blank"
+                                  rel="noopener noreferrer"
+                                  className="inline"
+                                >
+                                  {t("debug.objectShapeFilterDrawing.document")}
+                                  <LuExternalLink className="ml-2 inline-flex size-3" />
+                                </Link>
+                              </div>
+                            </PopoverContent>
+                          </Popover>
+                        </div>
+                        <div className="mt-1 text-xs text-muted-foreground">
+                          {t("debug.objectShapeFilterDrawing.desc")}
+                        </div>
+                      </div>
+                      <Switch
+                        key={`$draw-${selectedCamera}`}
+                        className="ml-1"
+                        id="debug_draw"
+                        checked={debugDraw}
+                        onCheckedChange={(isChecked) => {
+                          setDebugDraw(isChecked);
+                        }}
+                      />
+                    </div>
+                  </>
+                )}
               </div>
             </div>
           </TabsContent>
           <TabsContent value="objectlist">
-            {ObjectList(memoizedObjects)}
+            <ObjectList cameraConfig={cameraConfig} objects={memoizedObjects} />
           </TabsContent>
         </Tabs>
       </div>
 
       {cameraConfig ? (
-        <div className="flex md:h-dvh md:max-h-full md:w-7/12 md:grow">
-          <div className="size-full min-h-10">
+        <div className="flex max-h-[70%] md:h-dvh md:max-h-full md:w-7/12 md:grow">
+          <div ref={containerRef} className="relative size-full min-h-10">
             <AutoUpdatingCameraImage
               camera={cameraConfig.name}
               searchParams={searchParams}
@@ -275,6 +311,13 @@ export default function ObjectSettingsView({
               className="size-full"
               cameraClasses="relative w-full h-full flex flex-col justify-start"
             />
+            {debugDraw && (
+              <DebugDrawingLayer
+                containerRef={containerRef}
+                cameraWidth={cameraConfig.detect.width}
+                cameraHeight={cameraConfig.detect.height}
+              />
+            )}
           </div>
         </div>
       ) : (
@@ -284,7 +327,13 @@ export default function ObjectSettingsView({
   );
 }
 
-function ObjectList(objects?: ObjectType[]) {
+type ObjectListProps = {
+  cameraConfig: CameraConfig;
+  objects?: ObjectType[];
+};
+
+function ObjectList({ cameraConfig, objects }: ObjectListProps) {
+  const { t } = useTranslation(["views/settings"]);
   const { data: config } = useSWR<FrigateConfig>("config");
 
   const colormap = useMemo(() => {
@@ -323,14 +372,14 @@ function ObjectList(objects?: ObjectType[]) {
                     {getIconForLabel(obj.label, "size-5 text-white")}
                   </div>
                   <div className="ml-3 text-lg">
-                    {capitalizeFirstLetter(obj.label.replaceAll("_", " "))}
+                    {getTranslatedLabel(obj.label)}
                   </div>
                 </div>
-                <div className="flex w-8/12 flex-row items-end justify-end">
+                <div className="flex w-8/12 flex-row items-center justify-end">
                   <div className="text-md mr-2 w-1/3">
                     <div className="flex flex-col items-end justify-end">
                       <p className="mb-1.5 text-sm text-primary-variant">
-                        Score
+                        {t("debug.objectShapeFilterDrawing.score")}
                       </p>
                       {obj.score
                         ? (obj.score * 100).toFixed(1).toString()
@@ -341,7 +390,7 @@ function ObjectList(objects?: ObjectType[]) {
                   <div className="text-md mr-2 w-1/3">
                     <div className="flex flex-col items-end justify-end">
                       <p className="mb-1.5 text-sm text-primary-variant">
-                        Ratio
+                        {t("debug.objectShapeFilterDrawing.ratio")}
                       </p>
                       {obj.ratio ? obj.ratio.toFixed(2).toString() : "-"}
                     </div>
@@ -349,9 +398,27 @@ function ObjectList(objects?: ObjectType[]) {
                   <div className="text-md mr-2 w-1/3">
                     <div className="flex flex-col items-end justify-end">
                       <p className="mb-1.5 text-sm text-primary-variant">
-                        Area
+                        {t("debug.objectShapeFilterDrawing.area")}
                       </p>
-                      {obj.area ? obj.area.toString() : "-"}
+                      {obj.area ? (
+                        <>
+                          <div className="text-xs">
+                            px: {obj.area.toString()}
+                          </div>
+                          <div className="text-xs">
+                            %:{" "}
+                            {(
+                              obj.area /
+                              (cameraConfig.detect.width *
+                                cameraConfig.detect.height)
+                            )
+                              .toFixed(4)
+                              .toString()}
+                          </div>
+                        </>
+                      ) : (
+                        "-"
+                      )}
                     </div>
                   </div>
                 </div>
@@ -360,7 +427,7 @@ function ObjectList(objects?: ObjectType[]) {
           );
         })
       ) : (
-        <div className="p-3 text-center">No objects</div>
+        <div className="p-3 text-center">{t("debug.noObjects")}</div>
       )}
     </div>
   );
diff --git a/web/src/views/settings/SearchSettingsView.tsx b/web/src/views/settings/SearchSettingsView.tsx
deleted file mode 100644
index 027f55070..000000000
--- a/web/src/views/settings/SearchSettingsView.tsx
+++ /dev/null
@@ -1,292 +0,0 @@
-import Heading from "@/components/ui/heading";
-import { FrigateConfig, SearchModelSize } from "@/types/frigateConfig";
-import useSWR from "swr";
-import axios from "axios";
-import ActivityIndicator from "@/components/indicators/activity-indicator";
-import { useCallback, useContext, useEffect, useState } from "react";
-import { Label } from "@/components/ui/label";
-import { Button } from "@/components/ui/button";
-import { Switch } from "@/components/ui/switch";
-import { Toaster } from "@/components/ui/sonner";
-import { toast } from "sonner";
-import { Separator } from "@/components/ui/separator";
-import { Link } from "react-router-dom";
-import { LuExternalLink } from "react-icons/lu";
-import { StatusBarMessagesContext } from "@/context/statusbar-provider";
-import {
-  Select,
-  SelectContent,
-  SelectGroup,
-  SelectItem,
-  SelectTrigger,
-} from "@/components/ui/select";
-
-type SearchSettingsViewProps = {
-  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
-};
-
-type SearchSettings = {
-  enabled?: boolean;
-  reindex?: boolean;
-  model_size?: SearchModelSize;
-};
-
-export default function SearchSettingsView({
-  setUnsavedChanges,
-}: SearchSettingsViewProps) {
-  const { data: config, mutate: updateConfig } =
-    useSWR<FrigateConfig>("config");
-  const [changedValue, setChangedValue] = useState(false);
-  const [isLoading, setIsLoading] = useState(false);
-
-  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
-
-  const [searchSettings, setSearchSettings] = useState<SearchSettings>({
-    enabled: undefined,
-    reindex: undefined,
-    model_size: undefined,
-  });
-
-  const [origSearchSettings, setOrigSearchSettings] = useState<SearchSettings>({
-    enabled: undefined,
-    reindex: undefined,
-    model_size: undefined,
-  });
-
-  useEffect(() => {
-    if (config) {
-      if (searchSettings?.enabled == undefined) {
-        setSearchSettings({
-          enabled: config.semantic_search.enabled,
-          reindex: config.semantic_search.reindex,
-          model_size: config.semantic_search.model_size,
-        });
-      }
-
-      setOrigSearchSettings({
-        enabled: config.semantic_search.enabled,
-        reindex: config.semantic_search.reindex,
-        model_size: config.semantic_search.model_size,
-      });
-    }
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [config]);
-
-  const handleSearchConfigChange = (newConfig: Partial<SearchSettings>) => {
-    setSearchSettings((prevConfig) => ({ ...prevConfig, ...newConfig }));
-    setUnsavedChanges(true);
-    setChangedValue(true);
-  };
-
-  const saveToConfig = useCallback(async () => {
-    setIsLoading(true);
-
-    axios
-      .put(
-        `config/set?semantic_search.enabled=${searchSettings.enabled ? "True" : "False"}&semantic_search.reindex=${searchSettings.reindex ? "True" : "False"}&semantic_search.model_size=${searchSettings.model_size}`,
-        {
-          requires_restart: 0,
-        },
-      )
-      .then((res) => {
-        if (res.status === 200) {
-          toast.success("Explore settings have been saved.", {
-            position: "top-center",
-          });
-          setChangedValue(false);
-          updateConfig();
-        } else {
-          toast.error(`Failed to save config changes: ${res.statusText}`, {
-            position: "top-center",
-          });
-        }
-      })
-      .catch((error) => {
-        toast.error(
-          `Failed to save config changes: ${error.response.data.message}`,
-          { position: "top-center" },
-        );
-      })
-      .finally(() => {
-        setIsLoading(false);
-      });
-  }, [
-    updateConfig,
-    searchSettings.enabled,
-    searchSettings.reindex,
-    searchSettings.model_size,
-  ]);
-
-  const onCancel = useCallback(() => {
-    setSearchSettings(origSearchSettings);
-    setChangedValue(false);
-    removeMessage("search_settings", "search_settings");
-  }, [origSearchSettings, removeMessage]);
-
-  useEffect(() => {
-    if (changedValue) {
-      addMessage(
-        "search_settings",
-        `Unsaved Explore settings changes`,
-        undefined,
-        "search_settings",
-      );
-    } else {
-      removeMessage("search_settings", "search_settings");
-    }
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [changedValue]);
-
-  useEffect(() => {
-    document.title = "Explore Settings - Frigate";
-  }, []);
-
-  if (!config) {
-    return <ActivityIndicator />;
-  }
-
-  return (
-    <div className="flex size-full flex-col md:flex-row">
-      <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
-        <Heading as="h3" className="my-2">
-          Explore Settings
-        </Heading>
-        <Separator className="my-2 flex bg-secondary" />
-        <Heading as="h4" className="my-2">
-          Semantic Search
-        </Heading>
-        <div className="max-w-6xl">
-          <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
-            <p>
-              Semantic Search in Frigate allows you to find tracked objects
-              within your review items using either the image itself, a
-              user-defined text description, or an automatically generated one.
-            </p>
-
-            <div className="flex items-center text-primary">
-              <Link
-                to="https://docs.frigate.video/configuration/semantic_search"
-                target="_blank"
-                rel="noopener noreferrer"
-                className="inline"
-              >
-                Read the Documentation
-                <LuExternalLink className="ml-2 inline-flex size-3" />
-              </Link>
-            </div>
-          </div>
-        </div>
-
-        <div className="flex w-full max-w-lg flex-col space-y-6">
-          <div className="flex flex-row items-center">
-            <Switch
-              id="enabled"
-              className="mr-3"
-              disabled={searchSettings.enabled === undefined}
-              checked={searchSettings.enabled === true}
-              onCheckedChange={(isChecked) => {
-                handleSearchConfigChange({ enabled: isChecked });
-              }}
-            />
-            <div className="space-y-0.5">
-              <Label htmlFor="enabled">Enabled</Label>
-            </div>
-          </div>
-          <div className="flex flex-col">
-            <div className="flex flex-row items-center">
-              <Switch
-                id="reindex"
-                className="mr-3"
-                disabled={searchSettings.reindex === undefined}
-                checked={searchSettings.reindex === true}
-                onCheckedChange={(isChecked) => {
-                  handleSearchConfigChange({ reindex: isChecked });
-                }}
-              />
-              <div className="space-y-0.5">
-                <Label htmlFor="reindex">Re-Index On Startup</Label>
-              </div>
-            </div>
-            <div className="mt-3 text-sm text-muted-foreground">
-              Re-indexing will reprocess all thumbnails and descriptions (if
-              enabled) and apply the embeddings on each startup.{" "}
-              <em>Don't forget to disable the option after restarting!</em>
-            </div>
-          </div>
-          <div className="mt-2 flex flex-col space-y-6">
-            <div className="space-y-0.5">
-              <div className="text-md">Model Size</div>
-              <div className="space-y-1 text-sm text-muted-foreground">
-                <p>
-                  The size of the model used for Semantic Search embeddings.
-                </p>
-                <ul className="list-disc pl-5 text-sm">
-                  <li>
-                    Using <em>small</em> employs a quantized version of the
-                    model that uses less RAM and runs faster on CPU with a very
-                    negligible difference in embedding quality.
-                  </li>
-                  <li>
-                    Using <em>large</em> employs the full Jina model and will
-                    automatically run on the GPU if applicable.
-                  </li>
-                </ul>
-              </div>
-            </div>
-            <Select
-              value={searchSettings.model_size}
-              onValueChange={(value) =>
-                handleSearchConfigChange({
-                  model_size: value as SearchModelSize,
-                })
-              }
-            >
-              <SelectTrigger className="w-20">
-                {searchSettings.model_size}
-              </SelectTrigger>
-              <SelectContent>
-                <SelectGroup>
-                  {["small", "large"].map((size) => (
-                    <SelectItem
-                      key={size}
-                      className="cursor-pointer"
-                      value={size}
-                    >
-                      {size}
-                    </SelectItem>
-                  ))}
-                </SelectGroup>
-              </SelectContent>
-            </Select>
-          </div>
-        </div>
-        <Separator className="my-2 flex bg-secondary" />
-
-        <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
-          <Button className="flex flex-1" aria-label="Reset" onClick={onCancel}>
-            Reset
-          </Button>
-          <Button
-            variant="select"
-            disabled={!changedValue || isLoading}
-            className="flex flex-1"
-            aria-label="Save"
-            onClick={saveToConfig}
-          >
-            {isLoading ? (
-              <div className="flex flex-row items-center gap-2">
-                <ActivityIndicator />
-                <span>Saving...</span>
-              </div>
-            ) : (
-              "Save"
-            )}
-          </Button>
-        </div>
-      </div>
-    </div>
-  );
-}
diff --git a/web/src/views/settings/UiSettingsView.tsx b/web/src/views/settings/UiSettingsView.tsx
index 6386a3cad..c5b273027 100644
--- a/web/src/views/settings/UiSettingsView.tsx
+++ b/web/src/views/settings/UiSettingsView.tsx
@@ -18,13 +18,14 @@ import {
   SelectItem,
   SelectTrigger,
 } from "../../components/ui/select";
+import { useTranslation } from "react-i18next";
 
 const PLAYBACK_RATE_DEFAULT = isSafari ? [0.5, 1, 2] : [0.5, 1, 2, 4, 8, 16];
 const WEEK_STARTS_ON = ["Sunday", "Monday"];
 
 export default function UiSettingsView() {
   const { data: config } = useSWR<FrigateConfig>("config");
-
+  const { t } = useTranslation("views/settings");
   const clearStoredLayouts = useCallback(() => {
     if (!config) {
       return [];
@@ -33,22 +34,60 @@ export default function UiSettingsView() {
     Object.entries(config.camera_groups).forEach(async (value) => {
       await delData(`${value[0]}-draggable-layout`)
         .then(() => {
-          toast.success(`Cleared stored layout for ${value[0]}`, {
-            position: "top-center",
-          });
+          toast.success(
+            t("general.toast.success.clearStoredLayout", {
+              cameraName: value[0],
+            }),
+            {
+              position: "top-center",
+            },
+          );
         })
         .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
           toast.error(
-            `Failed to clear stored layout: ${error.response.data.message}`,
-            { position: "top-center" },
+            t("general.toast.error.clearStoredLayoutFailed", { errorMessage }),
+            {
+              position: "top-center",
+            },
           );
         });
     });
-  }, [config]);
+  }, [config, t]);
+
+  const clearStreamingSettings = useCallback(async () => {
+    if (!config) {
+      return [];
+    }
+
+    await delData(`streaming-settings`)
+      .then(() => {
+        toast.success(t("general.toast.success.clearStreamingSettings"), {
+          position: "top-center",
+        });
+      })
+      .catch((error) => {
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(
+          t("general.toast.error.clearStreamingSettingsFailed", {
+            errorMessage,
+          }),
+          {
+            position: "top-center",
+          },
+        );
+      });
+  }, [config, t]);
 
   useEffect(() => {
-    document.title = "General Settings - Frigate";
-  }, []);
+    document.title = t("documentTitle.general");
+  }, [t]);
 
   // settings
 
@@ -63,13 +102,13 @@ export default function UiSettingsView() {
         <Toaster position="top-center" closeButton={true} />
         <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
           <Heading as="h3" className="my-2">
-            General Settings
+            {t("general.title")}
           </Heading>
 
           <Separator className="my-2 flex bg-secondary" />
 
           <Heading as="h4" className="my-2">
-            Live Dashboard
+            {t("general.liveDashboard.title")}
           </Heading>
 
           <div className="mt-2 space-y-6">
@@ -81,15 +120,11 @@ export default function UiSettingsView() {
                   onCheckedChange={setAutoLive}
                 />
                 <Label className="cursor-pointer" htmlFor="auto-live">
-                  Automatic Live View
+                  {t("general.liveDashboard.automaticLiveView.label")}
                 </Label>
               </div>
-              <div className="my-2 text-sm text-muted-foreground">
-                <p>
-                  Automatically switch to a camera's live view when activity is
-                  detected. Disabling this option causes static camera images on
-                  the Live dashboard to only update once per minute.
-                </p>
+              <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                <p>{t("general.liveDashboard.automaticLiveView.desc")}</p>
               </div>
             </div>
             <div className="space-y-3">
@@ -100,50 +135,65 @@ export default function UiSettingsView() {
                   onCheckedChange={setAlertVideos}
                 />
                 <Label className="cursor-pointer" htmlFor="images-only">
-                  Play Alert Videos
+                  {t("general.liveDashboard.playAlertVideos.label")}
                 </Label>
               </div>
-              <div className="my-2 text-sm text-muted-foreground">
-                <p>
-                  By default, recent alerts on the Live dashboard play as small
-                  looping videos. Disable this option to only show a static
-                  image of recent alerts on this device/browser.
-                </p>
+              <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                <p>{t("general.liveDashboard.playAlertVideos.desc")}</p>
               </div>
             </div>
           </div>
 
           <div className="my-3 flex w-full flex-col space-y-6">
-            <div className="mt-2 space-y-6">
+            <div className="mt-2 space-y-3">
               <div className="space-y-0.5">
-                <div className="text-md">Stored Layouts</div>
+                <div className="text-md">
+                  {t("general.storedLayouts.title")}
+                </div>
                 <div className="my-2 text-sm text-muted-foreground">
-                  <p>
-                    The layout of cameras in a camera group can be
-                    dragged/resized. The positions are stored in your browser's
-                    local storage.
-                  </p>
+                  <p>{t("general.storedLayouts.desc")}</p>
                 </div>
               </div>
               <Button
-                aria-label="Clear all saved layouts"
+                aria-label={t("general.storedLayouts.clearAll")}
                 onClick={clearStoredLayouts}
               >
-                Clear All Layouts
+                {t("general.storedLayouts.clearAll")}
+              </Button>
+            </div>
+
+            <div className="mt-2 space-y-3">
+              <div className="space-y-0.5">
+                <div className="text-md">
+                  {t("general.cameraGroupStreaming.title")}
+                </div>
+                <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                  <p>{t("general.cameraGroupStreaming.desc")}</p>
+                </div>
+              </div>
+              <Button
+                aria-label={t("general.cameraGroupStreaming.clearAll")}
+                onClick={clearStreamingSettings}
+              >
+                {t("general.cameraGroupStreaming.clearAll")}
               </Button>
             </div>
 
             <Separator className="my-2 flex bg-secondary" />
 
             <Heading as="h4" className="my-2">
-              Recordings Viewer
+              {t("general.recordingsViewer.title")}
             </Heading>
 
             <div className="mt-2 space-y-6">
               <div className="space-y-0.5">
-                <div className="text-md">Default Playback Rate</div>
+                <div className="text-md">
+                  {t("general.recordingsViewer.defaultPlaybackRate.label")}
+                </div>
                 <div className="my-2 text-sm text-muted-foreground">
-                  <p>Default playback rate for recordings playback.</p>
+                  <p>
+                    {t("general.recordingsViewer.defaultPlaybackRate.desc")}
+                  </p>
                 </div>
               </div>
             </div>
@@ -171,14 +221,16 @@ export default function UiSettingsView() {
             <Separator className="my-2 flex bg-secondary" />
 
             <Heading as="h4" className="my-2">
-              Calendar
+              {t("general.calendar.title")}
             </Heading>
 
             <div className="mt-2 space-y-6">
               <div className="space-y-0.5">
-                <div className="text-md">First Weekday</div>
+                <div className="text-md">
+                  {t("general.calendar.firstWeekday.label")}
+                </div>
                 <div className="my-2 text-sm text-muted-foreground">
-                  <p>The day that the weeks of the review calendar begin on.</p>
+                  <p>{t("general.calendar.firstWeekday.desc")}</p>
                 </div>
               </div>
             </div>
@@ -187,7 +239,10 @@ export default function UiSettingsView() {
               onValueChange={(value) => setWeekStartsOn(parseInt(value))}
             >
               <SelectTrigger className="w-32">
-                {WEEK_STARTS_ON[weekStartsOn ?? 0]}
+                {t(
+                  "general.calendar.firstWeekday." +
+                    WEEK_STARTS_ON[weekStartsOn ?? 0].toLowerCase(),
+                )}
               </SelectTrigger>
               <SelectContent>
                 <SelectGroup>
@@ -197,7 +252,7 @@ export default function UiSettingsView() {
                       className="cursor-pointer"
                       value={index.toString()}
                     >
-                      {day}
+                      {t("general.calendar.firstWeekday." + day.toLowerCase())}
                     </SelectItem>
                   ))}
                 </SelectGroup>
diff --git a/web/src/views/system/CameraMetrics.tsx b/web/src/views/system/CameraMetrics.tsx
index 764f22e96..ba2701926 100644
--- a/web/src/views/system/CameraMetrics.tsx
+++ b/web/src/views/system/CameraMetrics.tsx
@@ -1,5 +1,5 @@
 import { useFrigateStats } from "@/api/ws";
-import { CameraLineGraph } from "@/components/graph/CameraGraph";
+import { CameraLineGraph } from "@/components/graph/LineGraph";
 import CameraInfoDialog from "@/components/overlay/CameraInfoDialog";
 import { Skeleton } from "@/components/ui/skeleton";
 import { FrigateConfig } from "@/types/frigateConfig";
@@ -12,6 +12,7 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import useSWR from "swr";
+import { useTranslation } from "react-i18next";
 
 type CameraMetricsProps = {
   lastUpdated: number;
@@ -22,7 +23,7 @@ export default function CameraMetrics({
   setLastUpdated,
 }: CameraMetricsProps) {
   const { data: config } = useSWR<FrigateConfig>("config");
-
+  const { t } = useTranslation(["views/system"]);
   // camera info dialog
 
   const [showCameraInfoDialog, setShowCameraInfoDialog] = useState(false);
@@ -78,10 +79,16 @@ export default function CameraMetrics({
       [key: string]: { name: string; data: { x: number; y: number }[] };
     } = {};
 
-    series["overall_fps"] = { name: "overall frames per second", data: [] };
-    series["overall_dps"] = { name: "overall detections per second", data: [] };
+    series["overall_fps"] = {
+      name: t("cameras.label.overallFramesPerSecond"),
+      data: [],
+    };
+    series["overall_dps"] = {
+      name: t("cameras.label.overallDetectionsPerSecond"),
+      data: [],
+    };
     series["overall_skipped_dps"] = {
-      name: "overall skipped detections per second",
+      name: t("cameras.label.overallSkippedDetectionsPerSecond"),
       data: [],
     };
 
@@ -116,7 +123,7 @@ export default function CameraMetrics({
       });
     });
     return Object.values(series);
-  }, [statsHistory]);
+  }, [statsHistory, t]);
 
   const cameraCpuSeries = useMemo(() => {
     if (!statsHistory || statsHistory.length == 0) {
@@ -142,9 +149,18 @@ export default function CameraMetrics({
         if (!(key in series)) {
           const camName = key.replaceAll("_", " ");
           series[key] = {};
-          series[key]["ffmpeg"] = { name: `${camName} ffmpeg`, data: [] };
-          series[key]["capture"] = { name: `${camName} capture`, data: [] };
-          series[key]["detect"] = { name: `${camName} detect`, data: [] };
+          series[key]["ffmpeg"] = {
+            name: t("cameras.label.cameraFfmpeg", { camName: camName }),
+            data: [],
+          };
+          series[key]["capture"] = {
+            name: t("cameras.label.cameraCapture", { camName: camName }),
+            data: [],
+          };
+          series[key]["detect"] = {
+            name: t("cameras.label.cameraDetect", { camName: camName }),
+            data: [],
+          };
         }
 
         series[key]["ffmpeg"].data.push({
@@ -162,7 +178,7 @@ export default function CameraMetrics({
       });
     });
     return series;
-  }, [config, statsHistory]);
+  }, [config, statsHistory, t]);
 
   const cameraFpsSeries = useMemo(() => {
     if (!statsHistory) {
@@ -185,15 +201,21 @@ export default function CameraMetrics({
           const camName = key.replaceAll("_", " ");
           series[key] = {};
           series[key]["fps"] = {
-            name: `${camName} frames per second`,
+            name: t("cameras.label.cameraFramesPerSecond", {
+              camName: camName,
+            }),
             data: [],
           };
           series[key]["det"] = {
-            name: `${camName} detections per second`,
+            name: t("cameras.label.cameraDetectionsPerSecond", {
+              camName: camName,
+            }),
             data: [],
           };
           series[key]["skip"] = {
-            name: `${camName} skipped detections per second`,
+            name: t("cameras.label.cameraSkippedDetectionsPerSecond", {
+              camName: camName,
+            }),
             data: [],
           };
         }
@@ -213,7 +235,7 @@ export default function CameraMetrics({
       });
     });
     return series;
-  }, [statsHistory]);
+  }, [statsHistory, t]);
 
   useEffect(() => {
     if (!showCameraInfoDialog) {
@@ -223,11 +245,13 @@ export default function CameraMetrics({
 
   return (
     <div className="scrollbar-container mt-4 flex size-full flex-col gap-3 overflow-y-auto">
-      <div className="text-sm font-medium text-muted-foreground">Overview</div>
+      <div className="text-sm font-medium text-muted-foreground">
+        {t("cameras.overview")}
+      </div>
       <div className="grid grid-cols-1 md:grid-cols-3">
         {statsHistory.length != 0 ? (
           <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-            <div className="mb-5">Frames / Detections</div>
+            <div className="mb-5">{t("cameras.framesAndDetections")}</div>
             <CameraLineGraph
               graphId="overall-stats"
               unit=""
@@ -256,7 +280,7 @@ export default function CameraMetrics({
                   )}
                   <div className="flex w-full flex-col gap-3">
                     <div className="flex flex-row items-center justify-between">
-                      <div className="text-sm font-medium capitalize text-muted-foreground">
+                      <div className="text-sm font-medium text-muted-foreground smart-capitalize">
                         {camera.name.replaceAll("_", " ")}
                       </div>
                       <Tooltip>
@@ -269,7 +293,9 @@ export default function CameraMetrics({
                             }}
                           />
                         </TooltipTrigger>
-                        <TooltipContent>Camera Probe Info</TooltipContent>
+                        <TooltipContent>
+                          {t("cameras.info.tips.title")}
+                        </TooltipContent>
                       </Tooltip>
                     </div>
                     <div
@@ -294,7 +320,9 @@ export default function CameraMetrics({
                       )}
                       {Object.keys(cameraFpsSeries).includes(camera.name) ? (
                         <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                          <div className="mb-5">Frames / Detections</div>
+                          <div className="mb-5">
+                            {t("cameras.framesAndDetections")}
+                          </div>
                           <CameraLineGraph
                             graphId={`${camera.name}-dps`}
                             unit=""
diff --git a/web/src/views/system/EnrichmentMetrics.tsx b/web/src/views/system/EnrichmentMetrics.tsx
new file mode 100644
index 000000000..0e9c38f4d
--- /dev/null
+++ b/web/src/views/system/EnrichmentMetrics.tsx
@@ -0,0 +1,139 @@
+import useSWR from "swr";
+import { FrigateStats } from "@/types/stats";
+import { useEffect, useMemo, useState } from "react";
+import { useFrigateStats } from "@/api/ws";
+import { EmbeddingThreshold } from "@/types/graph";
+import { Skeleton } from "@/components/ui/skeleton";
+import { ThresholdBarGraph } from "@/components/graph/SystemGraph";
+import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
+import { EventsPerSecondsLineGraph } from "@/components/graph/LineGraph";
+
+type EnrichmentMetricsProps = {
+  lastUpdated: number;
+  setLastUpdated: (last: number) => void;
+};
+export default function EnrichmentMetrics({
+  lastUpdated,
+  setLastUpdated,
+}: EnrichmentMetricsProps) {
+  // stats
+  const { t } = useTranslation(["views/system"]);
+
+  const { data: initialStats } = useSWR<FrigateStats[]>(
+    ["stats/history", { keys: "embeddings,service" }],
+    {
+      revalidateOnFocus: false,
+    },
+  );
+
+  const [statsHistory, setStatsHistory] = useState<FrigateStats[]>([]);
+  const updatedStats = useFrigateStats();
+
+  useEffect(() => {
+    if (initialStats == undefined || initialStats.length == 0) {
+      return;
+    }
+
+    if (statsHistory.length == 0) {
+      setStatsHistory(initialStats);
+      return;
+    }
+
+    if (!updatedStats) {
+      return;
+    }
+
+    if (updatedStats.service.last_updated > lastUpdated) {
+      setStatsHistory([...statsHistory.slice(1), updatedStats]);
+      setLastUpdated(Date.now() / 1000);
+    }
+  }, [initialStats, updatedStats, statsHistory, lastUpdated, setLastUpdated]);
+
+  // timestamps
+
+  const updateTimes = useMemo(
+    () => statsHistory.map((stats) => stats.service.last_updated),
+    [statsHistory],
+  );
+
+  // features stats
+
+  const embeddingInferenceTimeSeries = useMemo(() => {
+    if (!statsHistory) {
+      return [];
+    }
+
+    const series: {
+      [key: string]: { name: string; data: { x: number; y: number }[] };
+    } = {};
+
+    statsHistory.forEach((stats, statsIdx) => {
+      if (!stats?.embeddings) {
+        return;
+      }
+
+      Object.entries(stats.embeddings).forEach(([rawKey, stat]) => {
+        const key = rawKey.replaceAll("_", " ");
+
+        if (!(key in series)) {
+          series[key] = {
+            name: t("enrichments.embeddings." + rawKey),
+            data: [],
+          };
+        }
+
+        series[key].data.push({ x: statsIdx + 1, y: stat });
+      });
+    });
+    return Object.values(series);
+  }, [statsHistory, t]);
+
+  return (
+    <>
+      <div className="scrollbar-container mt-4 flex size-full flex-col overflow-y-auto">
+        <div className="text-sm font-medium text-muted-foreground">
+          {t("enrichments.title")}
+        </div>
+        <div
+          className={cn(
+            "mt-4 grid w-full grid-cols-1 gap-2 sm:grid-cols-3",
+            embeddingInferenceTimeSeries && "sm:grid-cols-4",
+          )}
+        >
+          {statsHistory.length != 0 ? (
+            <>
+              {embeddingInferenceTimeSeries.map((series) => (
+                <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                  <div className="mb-5 smart-capitalize">{series.name}</div>
+                  {series.name.endsWith("Speed") ? (
+                    <ThresholdBarGraph
+                      key={series.name}
+                      graphId={`${series.name}-inference`}
+                      name={series.name}
+                      unit="ms"
+                      threshold={EmbeddingThreshold}
+                      updateTimes={updateTimes}
+                      data={[series]}
+                    />
+                  ) : (
+                    <EventsPerSecondsLineGraph
+                      key={series.name}
+                      graphId={`${series.name}-fps`}
+                      unit=""
+                      name={t("enrichments.infPerSecond")}
+                      updateTimes={updateTimes}
+                      data={[series]}
+                    />
+                  )}
+                </div>
+              ))}
+            </>
+          ) : (
+            <Skeleton className="aspect-video w-full rounded-lg md:rounded-2xl" />
+          )}
+        </div>
+      </div>
+    </>
+  );
+}
diff --git a/web/src/views/system/GeneralMetrics.tsx b/web/src/views/system/GeneralMetrics.tsx
index 6e85710bc..2ef7ce8d9 100644
--- a/web/src/views/system/GeneralMetrics.tsx
+++ b/web/src/views/system/GeneralMetrics.tsx
@@ -15,6 +15,7 @@ import GPUInfoDialog from "@/components/overlay/GPUInfoDialog";
 import { Skeleton } from "@/components/ui/skeleton";
 import { ThresholdBarGraph } from "@/components/graph/SystemGraph";
 import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
 
 type GeneralMetricsProps = {
   lastUpdated: number;
@@ -25,7 +26,7 @@ export default function GeneralMetrics({
   setLastUpdated,
 }: GeneralMetricsProps) {
   // extra info
-
+  const { t } = useTranslation(["views/system"]);
   const [showVainfo, setShowVainfo] = useState(false);
 
   // stats
@@ -33,7 +34,7 @@ export default function GeneralMetrics({
   const { data: initialStats } = useSWR<FrigateStats[]>(
     [
       "stats/history",
-      { keys: "cpu_usages,detectors,gpu_usages,processes,service" },
+      { keys: "cpu_usages,detectors,gpu_usages,npu_usages,processes,service" },
     ],
     {
       revalidateOnFocus: false,
@@ -239,7 +240,7 @@ export default function GeneralMetrics({
         return;
       }
 
-      Object.entries(stats.gpu_usages || []).forEach(([key, stats]) => {
+      Object.entries(stats.gpu_usages || {}).forEach(([key, stats]) => {
         if (!(key in series)) {
           series[key] = { name: key, data: [] };
         }
@@ -315,7 +316,7 @@ export default function GeneralMetrics({
         return;
       }
 
-      Object.entries(stats.gpu_usages || []).forEach(([key, stats]) => {
+      Object.entries(stats.gpu_usages || {}).forEach(([key, stats]) => {
         if (!(key in series)) {
           series[key] = { name: key, data: [] };
         }
@@ -349,7 +350,7 @@ export default function GeneralMetrics({
         return;
       }
 
-      Object.entries(stats.gpu_usages || []).forEach(([key, stats]) => {
+      Object.entries(stats.gpu_usages || {}).forEach(([key, stats]) => {
         if (!(key in series)) {
           series[key] = { name: key, data: [] };
         }
@@ -368,8 +369,57 @@ export default function GeneralMetrics({
     return Object.keys(series).length > 0 ? Object.values(series) : undefined;
   }, [statsHistory]);
 
+  // npu stats
+
+  const npuSeries = useMemo(() => {
+    if (!statsHistory) {
+      return [];
+    }
+
+    const series: {
+      [key: string]: { name: string; data: { x: number; y: number }[] };
+    } = {};
+    let hasValidNpu = false;
+
+    statsHistory.forEach((stats, statsIdx) => {
+      if (!stats) {
+        return;
+      }
+
+      Object.entries(stats.npu_usages || {}).forEach(([key, stats]) => {
+        if (!(key in series)) {
+          series[key] = { name: key, data: [] };
+        }
+
+        if (stats?.npu) {
+          hasValidNpu = true;
+          series[key].data.push({ x: statsIdx + 1, y: stats.npu });
+        }
+      });
+    });
+
+    if (!hasValidNpu) {
+      return [];
+    }
+
+    return Object.keys(series).length > 0 ? Object.values(series) : [];
+  }, [statsHistory]);
+
   // other processes stats
 
+  const hardwareType = useMemo(() => {
+    const hasGpu = gpuSeries.length > 0;
+    const hasNpu = npuSeries.length > 0;
+
+    if (hasGpu && !hasNpu) {
+      return "GPUs";
+    } else if (!hasGpu && hasNpu) {
+      return "NPUs";
+    } else {
+      return "GPUs / NPUs";
+    }
+  }, [gpuSeries, npuSeries]);
+
   const otherProcessCpuSeries = useMemo(() => {
     if (!statsHistory) {
       return [];
@@ -448,7 +498,7 @@ export default function GeneralMetrics({
 
       <div className="scrollbar-container mt-4 flex size-full flex-col overflow-y-auto">
         <div className="text-sm font-medium text-muted-foreground">
-          Detectors
+          {t("general.detector.title")}
         </div>
         <div
           className={cn(
@@ -458,7 +508,7 @@ export default function GeneralMetrics({
         >
           {statsHistory.length != 0 ? (
             <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-              <div className="mb-5">Detector Inference Speed</div>
+              <div className="mb-5">{t("general.detector.inferenceSpeed")}</div>
               {detInferenceTimeSeries.map((series) => (
                 <ThresholdBarGraph
                   key={series.name}
@@ -478,7 +528,9 @@ export default function GeneralMetrics({
             <>
               {detTempSeries && (
                 <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                  <div className="mb-5">Detector Temperature</div>
+                  <div className="mb-5">
+                    {t("general.detector.temperature")}
+                  </div>
                   {detTempSeries.map((series) => (
                     <ThresholdBarGraph
                       key={series.name}
@@ -496,7 +548,7 @@ export default function GeneralMetrics({
           )}
           {statsHistory.length != 0 ? (
             <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-              <div className="mb-5">Detector CPU Usage</div>
+              <div className="mb-5">{t("general.detector.cpuUsage")}</div>
               {detCpuSeries.map((series) => (
                 <ThresholdBarGraph
                   key={series.name}
@@ -514,7 +566,7 @@ export default function GeneralMetrics({
           )}
           {statsHistory.length != 0 ? (
             <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-              <div className="mb-5">Detector Memory Usage</div>
+              <div className="mb-5">{t("general.detector.memoryUsage")}</div>
               {detMemSeries.map((series) => (
                 <ThresholdBarGraph
                   key={series.name}
@@ -532,20 +584,22 @@ export default function GeneralMetrics({
           )}
         </div>
 
-        {(statsHistory.length == 0 || statsHistory[0].gpu_usages) && (
+        {(statsHistory.length == 0 ||
+          gpuSeries.length > 0 ||
+          npuSeries.length > 0) && (
           <>
             <div className="mt-4 flex items-center justify-between">
               <div className="text-sm font-medium text-muted-foreground">
-                GPUs
+                {hardwareType}
               </div>
               {canGetGpuInfo && (
                 <Button
                   className="cursor-pointer"
-                  aria-label="Hardware information"
+                  aria-label={t("general.hardwareInfo.title")}
                   size="sm"
                   onClick={() => setShowVainfo(true)}
                 >
-                  Hardware Info
+                  {t("general.hardwareInfo.title")}
                 </Button>
               )}
             </div>
@@ -555,101 +609,141 @@ export default function GeneralMetrics({
                 gpuEncSeries?.length && "md:grid-cols-4",
               )}
             >
-              {statsHistory.length != 0 ? (
-                <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                  <div className="mb-5">GPU Usage</div>
-                  {gpuSeries.map((series) => (
-                    <ThresholdBarGraph
-                      key={series.name}
-                      graphId={`${series.name}-gpu`}
-                      name={series.name}
-                      unit="%"
-                      threshold={GPUUsageThreshold}
-                      updateTimes={updateTimes}
-                      data={[series]}
-                    />
-                  ))}
+              {statsHistory[0]?.gpu_usages && (
+                <>
+                  {statsHistory.length != 0 ? (
+                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                      <div className="mb-5">
+                        {t("general.hardwareInfo.gpuUsage")}
+                      </div>
+                      {gpuSeries.map((series) => (
+                        <ThresholdBarGraph
+                          key={series.name}
+                          graphId={`${series.name}-gpu`}
+                          name={series.name}
+                          unit="%"
+                          threshold={GPUUsageThreshold}
+                          updateTimes={updateTimes}
+                          data={[series]}
+                        />
+                      ))}
+                    </div>
+                  ) : (
+                    <Skeleton className="aspect-video w-full" />
+                  )}
+                  {statsHistory.length != 0 ? (
+                    <>
+                      {gpuMemSeries && (
+                        <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                          <div className="mb-5">
+                            {t("general.hardwareInfo.gpuMemory")}
+                          </div>
+                          {gpuMemSeries.map((series) => (
+                            <ThresholdBarGraph
+                              key={series.name}
+                              graphId={`${series.name}-mem`}
+                              unit="%"
+                              name={series.name}
+                              threshold={GPUMemThreshold}
+                              updateTimes={updateTimes}
+                              data={[series]}
+                            />
+                          ))}
+                        </div>
+                      )}
+                    </>
+                  ) : (
+                    <Skeleton className="aspect-video w-full" />
+                  )}
+                  {statsHistory.length != 0 ? (
+                    <>
+                      {gpuEncSeries && gpuEncSeries?.length != 0 && (
+                        <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                          <div className="mb-5">
+                            {t("general.hardwareInfo.gpuEncoder")}
+                          </div>
+                          {gpuEncSeries.map((series) => (
+                            <ThresholdBarGraph
+                              key={series.name}
+                              graphId={`${series.name}-enc`}
+                              unit="%"
+                              name={series.name}
+                              threshold={GPUMemThreshold}
+                              updateTimes={updateTimes}
+                              data={[series]}
+                            />
+                          ))}
+                        </div>
+                      )}
+                    </>
+                  ) : (
+                    <Skeleton className="aspect-video w-full" />
+                  )}
+                  {statsHistory.length != 0 ? (
+                    <>
+                      {gpuDecSeries && gpuDecSeries?.length != 0 && (
+                        <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                          <div className="mb-5">
+                            {t("general.hardwareInfo.gpuDecoder")}
+                          </div>
+                          {gpuDecSeries.map((series) => (
+                            <ThresholdBarGraph
+                              key={series.name}
+                              graphId={`${series.name}-dec`}
+                              unit="%"
+                              name={series.name}
+                              threshold={GPUMemThreshold}
+                              updateTimes={updateTimes}
+                              data={[series]}
+                            />
+                          ))}
+                        </div>
+                      )}
+                    </>
+                  ) : (
+                    <Skeleton className="aspect-video w-full" />
+                  )}
+                </>
+              )}
+              {statsHistory[0]?.npu_usages && (
+                <div
+                  className={cn("mt-4 grid grid-cols-1 gap-2 sm:grid-cols-2")}
+                >
+                  {statsHistory.length != 0 ? (
+                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                      <div className="mb-5">
+                        {t("general.hardwareInfo.npuUsage")}
+                      </div>
+                      {npuSeries.map((series) => (
+                        <ThresholdBarGraph
+                          key={series.name}
+                          graphId={`${series.name}-npu`}
+                          name={series.name}
+                          unit="%"
+                          threshold={GPUUsageThreshold}
+                          updateTimes={updateTimes}
+                          data={[series]}
+                        />
+                      ))}
+                    </div>
+                  ) : (
+                    <Skeleton className="aspect-video w-full" />
+                  )}
                 </div>
-              ) : (
-                <Skeleton className="aspect-video w-full" />
-              )}
-              {statsHistory.length != 0 ? (
-                <>
-                  {gpuMemSeries && (
-                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                      <div className="mb-5">GPU Memory</div>
-                      {gpuMemSeries.map((series) => (
-                        <ThresholdBarGraph
-                          key={series.name}
-                          graphId={`${series.name}-mem`}
-                          unit="%"
-                          name={series.name}
-                          threshold={GPUMemThreshold}
-                          updateTimes={updateTimes}
-                          data={[series]}
-                        />
-                      ))}
-                    </div>
-                  )}
-                </>
-              ) : (
-                <Skeleton className="aspect-video w-full" />
-              )}
-              {statsHistory.length != 0 ? (
-                <>
-                  {gpuEncSeries && gpuEncSeries?.length != 0 && (
-                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                      <div className="mb-5">GPU Encoder</div>
-                      {gpuEncSeries.map((series) => (
-                        <ThresholdBarGraph
-                          key={series.name}
-                          graphId={`${series.name}-enc`}
-                          unit="%"
-                          name={series.name}
-                          threshold={GPUMemThreshold}
-                          updateTimes={updateTimes}
-                          data={[series]}
-                        />
-                      ))}
-                    </div>
-                  )}
-                </>
-              ) : (
-                <Skeleton className="aspect-video w-full" />
-              )}
-              {statsHistory.length != 0 ? (
-                <>
-                  {gpuDecSeries && gpuDecSeries?.length != 0 && (
-                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                      <div className="mb-5">GPU Decoder</div>
-                      {gpuDecSeries.map((series) => (
-                        <ThresholdBarGraph
-                          key={series.name}
-                          graphId={`${series.name}-dec`}
-                          unit="%"
-                          name={series.name}
-                          threshold={GPUMemThreshold}
-                          updateTimes={updateTimes}
-                          data={[series]}
-                        />
-                      ))}
-                    </div>
-                  )}
-                </>
-              ) : (
-                <Skeleton className="aspect-video w-full" />
               )}
             </div>
           </>
         )}
 
         <div className="mt-4 text-sm font-medium text-muted-foreground">
-          Other Processes
+          {t("general.otherProcesses.title")}
         </div>
         <div className="mt-4 grid grid-cols-1 gap-2 sm:grid-cols-2">
           {statsHistory.length != 0 ? (
             <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-              <div className="mb-5">Process CPU Usage</div>
+              <div className="mb-5">
+                {t("general.otherProcesses.processCpuUsage")}
+              </div>
               {otherProcessCpuSeries.map((series) => (
                 <ThresholdBarGraph
                   key={series.name}
@@ -667,7 +761,9 @@ export default function GeneralMetrics({
           )}
           {statsHistory.length != 0 ? (
             <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-              <div className="mb-5">Process Memory Usage</div>
+              <div className="mb-5">
+                {t("general.otherProcesses.processMemoryUsage")}
+              </div>
               {otherProcessMemSeries.map((series) => (
                 <ThresholdBarGraph
                   key={series.name}
diff --git a/web/src/views/system/StorageMetrics.tsx b/web/src/views/system/StorageMetrics.tsx
index 746adf45a..6ae40089a 100644
--- a/web/src/views/system/StorageMetrics.tsx
+++ b/web/src/views/system/StorageMetrics.tsx
@@ -8,7 +8,12 @@ import {
   PopoverTrigger,
 } from "@/components/ui/popover";
 import useSWR from "swr";
-import { LuAlertCircle } from "react-icons/lu";
+import { CiCircleAlert } from "react-icons/ci";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useFormattedTimestamp, useTimezone } from "@/hooks/use-date-utils";
+import { RecordingsSummary } from "@/types/review";
+import { useTranslation } from "react-i18next";
+import { TZDate } from "react-day-picker";
 
 type CameraStorage = {
   [key: string]: {
@@ -26,6 +31,11 @@ export default function StorageMetrics({
 }: StorageMetricsProps) {
   const { data: cameraStorage } = useSWR<CameraStorage>("recordings/storage");
   const { data: stats } = useSWR<FrigateStats>("stats");
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const { t } = useTranslation(["views/system"]);
+  const timezone = useTimezone(config);
 
   const totalStorage = useMemo(() => {
     if (!cameraStorage || !stats) {
@@ -33,54 +43,95 @@ export default function StorageMetrics({
     }
 
     const totalStorage = {
-      used: 0,
+      used: stats.service.storage["/media/frigate/recordings"]["used"],
+      camera: 0,
       total: stats.service.storage["/media/frigate/recordings"]["total"],
     };
 
     Object.values(cameraStorage).forEach(
-      (cam) => (totalStorage.used += cam.usage),
+      (cam) => (totalStorage.camera += cam.usage),
     );
     setLastUpdated(Date.now() / 1000);
     return totalStorage;
   }, [cameraStorage, stats, setLastUpdated]);
 
-  if (!cameraStorage || !stats || !totalStorage) {
+  // recordings summary
+
+  const { data: recordingsSummary } = useSWR<RecordingsSummary>([
+    "recordings/summary",
+    {
+      timezone: timezone,
+    },
+  ]);
+
+  const earliestDate = useMemo(() => {
+    const keys = Object.keys(recordingsSummary || {});
+    return keys.length
+      ? new TZDate(keys[keys.length - 1] + "T00:00:00", timezone).getTime() /
+          1000
+      : null;
+  }, [recordingsSummary, timezone]);
+
+  const timeFormat = config?.ui.time_format === "24hour" ? "24hour" : "12hour";
+  const format = useMemo(() => {
+    return t(`time.formattedTimestampMonthDayYear.${timeFormat}`, {
+      ns: "common",
+    });
+  }, [t, timeFormat]);
+
+  const formattedEarliestDate = useFormattedTimestamp(
+    earliestDate || 0,
+    format,
+    timezone,
+  );
+
+  if (!cameraStorage || !stats || !totalStorage || !config) {
     return;
   }
 
   return (
     <div className="scrollbar-container mt-4 flex size-full flex-col overflow-y-auto">
-      <div className="text-sm font-medium text-muted-foreground">Overview</div>
+      <div className="text-sm font-medium text-muted-foreground">
+        {t("storage.overview")}
+      </div>
       <div className="mt-4 grid grid-cols-1 gap-2 sm:grid-cols-3">
         <div className="flex-col rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
           <div className="mb-5 flex flex-row items-center justify-between">
-            Recordings
+            {t("storage.recordings.title")}
             <Popover>
               <PopoverTrigger asChild>
                 <button
                   className="focus:outline-none"
-                  aria-label="Unused Storage Information"
+                  aria-label={t(
+                    "storage.cameraStorage.unusedStorageInformation",
+                  )}
                 >
-                  <LuAlertCircle
+                  <CiCircleAlert
                     className="size-5"
-                    aria-label="Unused Storage Information"
+                    aria-label={t(
+                      "storage.cameraStorage.unusedStorageInformation",
+                    )}
                   />
                 </button>
               </PopoverTrigger>
               <PopoverContent className="w-80">
-                <div className="space-y-2">
-                  This value represents the total storage used by the recordings
-                  in Frigate's database. Frigate does not track storage usage
-                  for all files on your disk.
-                </div>
+                <div className="space-y-2">{t("storage.recordings.tips")}</div>
               </PopoverContent>
             </Popover>
           </div>
           <StorageGraph
             graphId="general-recordings"
-            used={totalStorage.used}
+            used={totalStorage.camera}
             total={totalStorage.total}
           />
+          {earliestDate && (
+            <div className="mt-2 text-xs text-primary-variant">
+              <span className="font-medium">
+                {t("storage.recordings.earliestRecording")}
+              </span>{" "}
+              {formattedEarliestDate}
+            </div>
+          )}
         </div>
         <div className="flex-col rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
           <div className="mb-5">/tmp/cache</div>
@@ -100,7 +151,7 @@ export default function StorageMetrics({
         </div>
       </div>
       <div className="mt-4 text-sm font-medium text-muted-foreground">
-        Camera Storage
+        {t("storage.cameraStorage.title")}
       </div>
       <div className="mt-4 bg-background_alt p-2.5 md:rounded-2xl">
         <CombinedStorageGraph
diff --git a/web/tailwind.config.js b/web/tailwind.config.cjs
similarity index 82%
rename from web/tailwind.config.js
rename to web/tailwind.config.cjs
index b7371a193..92d88c589 100644
--- a/web/tailwind.config.js
+++ b/web/tailwind.config.cjs
@@ -1,4 +1,7 @@
 /** @type {import('tailwindcss').Config} */
+
+const plugin = require("tailwindcss/plugin");
+
 module.exports = {
   darkMode: ["class"],
   content: [
@@ -32,6 +35,8 @@ module.exports = {
         scale2: "scale2 3s ease-in-out infinite",
         scale3: "scale3 3s ease-in-out infinite",
         scale4: "scale4 3s ease-in-out infinite",
+        "timeline-zoom-in": "timeline-zoom-in 0.3s ease-out",
+        "timeline-zoom-out": "timeline-zoom-out 0.3s ease-out",
       },
       aspectRatio: {
         wide: "32 / 9",
@@ -140,6 +145,16 @@ module.exports = {
           "40%, 60%": { transform: "scale(1.4)" },
           "30%, 70%": { transform: "scale(1)" },
         },
+        "timeline-zoom-in": {
+          "0%": { transform: "translateY(0)", opacity: "1" },
+          "50%": { transform: "translateY(0%)", opacity: "0.5" },
+          "100%": { transform: "translateY(0)", opacity: "1" },
+        },
+        "timeline-zoom-out": {
+          "0%": { transform: "translateY(0)", opacity: "1" },
+          "50%": { transform: "translateY(0%)", opacity: "0.5" },
+          "100%": { transform: "translateY(0)", opacity: "1" },
+        },
       },
       screens: {
         xs: "480px",
@@ -154,5 +169,16 @@ module.exports = {
     require("tailwindcss-animate"),
     // eslint-disable-next-line @typescript-eslint/no-var-requires
     require("tailwind-scrollbar")({ nocompatible: true }),
+    plugin(function ({ addUtilities }) {
+      addUtilities({
+        ".smart-capitalize": {
+          ':root[lang="ru"] &, :root[lang="ar"] &, :root[lang="he"] &, :root[lang="zh"] &, :root[lang="ja"] &, :root[lang="ko"] &, :root[lang="hi"] &, :root[lang="th"] &':
+            {
+              textTransform: "none",
+            },
+          textTransform: "capitalize",
+        },
+      });
+    }),
   ],
 };
diff --git a/web/themes/theme-default.css b/web/themes/theme-default.css
index 03ced055c..d5e0a0b80 100644
--- a/web/themes/theme-default.css
+++ b/web/themes/theme-default.css
@@ -137,23 +137,23 @@
     --secondary: hsl(0, 0%, 15%);
     --secondary: 0 0% 15%;
 
-    --secondary-foreground: hsl(0, 0%, 32%);
-    --secondary-foreground: 0 0% 32%;
+    --secondary-foreground: hsl(0, 0%, 42%);
+    --secondary-foreground: 0 0% 42%;
 
     --secondary-highlight: hsl(0, 0%, 25%);
     --secondary-highlight: 0 0% 25%;
 
-    --neutral: hsl(0, 0%, 45.1%);
-    --neutral: 0 0% 45.1%;
+    --neutral: hsl(0, 0%, 55.1%);
+    --neutral: 0 0% 55.1%;
 
-    --neutral_variant: hsl(0, 0%, 32.2%);
-    --neutral_variant: 0 0% 32.2%;
+    --neutral_variant: hsl(0, 0%, 42.2%);
+    --neutral_variant: 0 0% 42.2%;
 
     --muted: hsl(0, 0%, 12%);
     --muted: 0 0% 12%;
 
-    --muted-foreground: hsl(0, 0%, 32%);
-    --muted-foreground: 0 0% 32%;
+    --muted-foreground: hsl(0, 0%, 42%);
+    --muted-foreground: 0 0% 42%;
 
     --accent: hsl(0, 0%, 19%);
     --accent: 0 0% 19%;