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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
d34533981f
* Translation module init
* Add more i18n keys
* fix: fix string wrong
* refactor: use namespace translation file
* chore: add more translation key
* fix: fix some page name error
* refactor: change Trans tag for t function
* chore: fix some key not work
* chore: fix SearchFilterDialog i18n key error
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* chore: fix en i18n file filter missing some keys
* chore: add some i18n keys
* chore: add more i18n keys again
* feat: add search page i18n
* feat: add explore model i18n keys
* Update web/src/components/menu/GeneralSettings.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/components/menu/GeneralSettings.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/components/menu/GeneralSettings.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* feat: add more live i18n keys
* feat: add more search setting i18n keys
* fix: remove some comment
* fix: fix some setting page url error
* Update web/src/views/settings/SearchSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* fix: add system missing keys
* fix: update password update i18n keys
* chore: remove outdate translation.json file
* fix: fix exploreSettings error
* chore: add object setting i18n keys
* Update web/src/views/recording/RecordingView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/public/locales/en/components/filter.json
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/components/overlay/ExportDialog.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* feat: add more i18n keys
* fix: fix motionDetectionTuner html node
* feat: add more page i18n keys
* fix: cameraStream i18n keys error
* feat: add Player i18n keys
* feat: add more toast i18n keys
* feat: change explore setting name
* feat: add more document title i18n keys
* feat: add more search i18n keys
* fix: fix accessDenied i18n keys error
* chore: add objectType i18n
* chore: add inputWithTags i18n
* chore: add SearchFilterDialog i18n
* Update web/src/views/settings/ObjectSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/views/settings/ObjectSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/views/settings/ObjectSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/views/settings/ObjectSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update web/src/views/settings/ObjectSettingsView.tsx
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* chore: add some missing i18n keys
* chore: remove most import { t } from "i18next";
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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
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| .github | ||
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| config | ||
| docker | ||
| docs | ||
| frigate | ||
| migrations | ||
| notebooks | ||
| web | ||
| .dockerignore | ||
| .gitignore | ||
| .pylintrc | ||
| audio-labelmap.txt | ||
| benchmark_motion.py | ||
| benchmark.py | ||
| CODEOWNERS | ||
| cspell.json | ||
| docker-compose.yml | ||
| labelmap.txt | ||
| LICENSE | ||
| Makefile | ||
| netlify.toml | ||
| package-lock.json | ||
| process_clip.py | ||
| pyproject.toml | ||
| README.md | ||
Frigate - NVR With Realtime Object Detection for IP Cameras
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 is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS 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.