forked from Github/frigate
0ce596ec8f
* Use full resolution aspect for main camera style in history view * Only check for offline cameras after 60s of uptime * only call onPlaying when loadeddata is fired or after timeout * revert to inline funcs * Portal frigate plus alert dialog * remove duplicated logic * increase onplaying timeout * Use a ref instead of a state and clear timeout in AutoUpdatingCameraImage * default to the selected month for selectedDay * Use buffered time instead of timeout * Use default cursor when not editing polygons
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.