forked from Github/frigate
de244d6873
* Send mqtt message when motion is detected * Use object processing instead of passing mqtt client around * Cleanup * Formatting * add comment * Make off delay configurable. * Handle updating each camera based on config off delay * Formatting * Update docker-compose.yml * Fix processing issue * Update mqtt docs * Update main config docs * Make sure multiple True values aren't published for the same motion * Make sure multiple True values aren't published for the same motion * Update payload to fit existing HA standard values * Update docs to fit new values * Update docs * Update motion topic * Use datetime.datetime and remove unused imports * Cast to int * Clarify motion detector behavior in docs * Fix typo Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
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 RTMP to reduce the number of connections to your camera
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:
