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* 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
Frigate - NVR With Realtime Object Detection for IP Cameras
[English] | 简体中文
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
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
