NVR with realtime local object detection for IP cameras
Go to file
Josh Hawkins f7ed8b4cab
Autotracking improvements (#19873)
* Use asyncio lock when checking camera status

get_camera_status() can be called during normal autotracking movement and from routine camera_maintenance(). Some cameras cause one of the status calls to hang, which then subsequently hangs autotracking. A lock serializes access and prevents the hang.

* use while loop in camera_maintenance for status check

some cameras seem to take a little bit to update their status, don't assume the first call shows the motor has stopped
2025-09-01 19:18:50 -05:00
.cspell Fixes (#18304) 2025-05-19 14:43:22 -06:00
.devcontainer
.github Update bug report template (#19664) 2025-08-20 12:57:24 -06:00
.vscode
config
docker Use sed on correct file (#19590) 2025-08-18 07:21:42 -06:00
docs docs: rk ffmpeg preset is outdated (#19780) 2025-08-26 15:24:58 -06:00
frigate Autotracking improvements (#19873) 2025-09-01 19:18:50 -05:00
migrations
notebooks Improve documentation for YOLO-NAS notebook (#18381) 2025-05-24 09:42:32 -06:00
web Fix HLS video initial aspect on Chrome (#19805) 2025-08-27 12:27:18 -06:00
.dockerignore
.gitignore
.pylintrc
audio-labelmap.txt
benchmark_motion.py
benchmark.py Improve async object detector support (#17712) 2025-04-15 08:55:38 -05:00
CODEOWNERS
cspell.json
docker-compose.yml
labelmap.txt
LICENSE
Makefile Bump makefile version (#19539) 2025-08-16 07:05:15 -06:00
netlify.toml
package-lock.json
process_clip.py Improve async object detector support (#17712) 2025-04-15 08:55:38 -05:00
pyproject.toml Fix various typing issues (#18187) 2025-05-13 08:27:20 -06:00
README_CN.md Add Chinese community sponsors (#18945) 2025-07-04 14:32:48 -05:00
README.md Small Tweaks (#17652) 2025-04-11 08:21:01 -06:00

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

Translation status
English

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 GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.

  • Tight integration with Home Assistant via a custom component
  • Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
  • Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
  • Uses a very low overhead motion detection to determine where to run object detection
  • Object detection with TensorFlow runs in separate processes for maximum FPS
  • Communicates over MQTT for easy integration into other systems
  • Records video with retention settings based on detected objects
  • 24/7 recording
  • Re-streaming via RTSP to reduce the number of connections to your camera
  • WebRTC & MSE support for low-latency live view

Documentation

View the documentation at https://docs.frigate.video

Donations

If you would like to make a donation to support development, please use Github Sponsors.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status