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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
ed1e3a7c9a
* update config for roles and add validator * ensure admin and viewer are never overridden * add class method to user to retrieve all allowed cameras * enforce config roles in auth api endpoints * add camera access api dependency functions * protect review endpoints * protect preview endpoints * rename param name for better fastapi injection matching * remove unneeded * protect export endpoints * protect event endpoints * protect media endpoints * update auth hook for allowed cameras * update default app view * ensure anonymous user always returns all cameras * limit cameras in explore * cameras is already a list * limit cameras in review/history * limit cameras in live view * limit cameras in camera groups * only show face library and classification in sidebar for admin * remove check in delete reviews since admin role is required, no need to check camera access. fixes failing test * pass request with camera access for tests * more async * camera access tests * fix proxy auth tests * allowed cameras for review tests * combine event tests and refactor for camera access * fix post validation for roles * don't limit roles in create user dialog * fix triggers endpoints no need to run require camera access dep since the required role is admin * fix type * create and edit role dialogs * delete role dialog * fix role change dialog * update settings view for roles * i18n changes * minor spacing tweaks * docs * use badges and camera name label component * clarify docs * display all cameras badge for admin and viewer * i18n fix * use validator to prevent reserved and empty roles from being assigned * split users and roles into separate tabs in settings * tweak docs * clarify docs * change icon * don't memoize roles always recalculate on component render |
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Frigate - NVR With Realtime Object Detection for IP Cameras
EnglishA 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
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
