forked from Github/frigate
27144eb0b9379139eeb1a49b2865dfa77c1e65e5
* don't zoom if camera doesn't support it * basic zooming * make zooming configurable * zooming docs * optional zooming in camera status * Use absolute instead of relative zooming * increase edge threshold * zoom considering object area * bugfixes * catch onvif zooming errors * relative zooming option for dahua/amcrest cams * docs * docs * don't make small movements * remove old logger statement * fix small movements * use enum in config for zooming * fix formatting * empty move queue first * clear tracked object before waiting for stop * use velocity estimation for movements * docs updates * add tests * typos * recalc every 50 moves * adjust zoom based on estimate box if calibrated * tweaks for fast objects and large movements * use real time for calibration and add info logging * docs updates * remove area scale * Add example video to docs * zooming font header size the same as the others * log an error if a ptz doesn't report a MoveStatus * debug logging for onvif service capabilities * ensure camera supports ONVIF MoveStatus
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.
Screenshots
Integration into Home Assistant
Also comes with a builtin UI:
Description
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