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* config file changes * config migrator * stream selection on single camera live view * camera streaming settings dialog * manage persistent group streaming settings * apply streaming settings in camera groups * add ability to clear all streaming settings from settings * docs * update reference config * fixes * clarify docs * use first stream as default in dialog * ensure still image is visible after switching stream type to none * docs * clarify docs * add ability to continue playing stream in background * fix props * put stream selection inside dropdown on desktop * add capabilities to live mode hook * live context menu component * resize observer: only return new dimensions if they've actually changed * pass volume prop to players * fix slider bug, https://github.com/shadcn-ui/ui/issues/1448 * update react-grid-layout * prevent animated transitions on draggable grid layout * add context menu to dashboards * use provider * streaming dialog from context menu * docs * add jsmpeg warning to context menu * audio and two way talk indicators in single camera view * add link to debug view * don't use hook * create manual events from live camera view * maintain grow classes on grid items * fix initial volume state on default dashboard * fix pointer events causing context menu to end up underneath image on iOS * mobile drawer tweaks * stream stats * show settings menu for non-restreamed cameras * consistent settings icon * tweaks * optional stats to fix birdseye player * add toaster to live camera view * fix crash on initial save in streaming dialog * don't require restreaming for context menu streaming settings * add debug view to context menu * stats fixes * update docs * always show stream info when restreamed * update camera streaming dialog * make note of no h265 support for webrtc * docs clarity * ensure docs show streams as a dict * docs clarity * fix css file * tweaks
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.