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NVR with realtime local object detection for IP cameras
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Clarification of installation steps with Coral accelerator 
M.2/PCI-e Coral accelerators use different device names to the USB accelerator. Additionally, while Coral is mentioned in other pages, it is not explicitly clear that this is not quite 'plug and play', which will trip up novice users.

The config file argument for docker needs to be a directory, not a file.

Added some other points to help clarify based on my first experience.
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frigate use gevent sleep to prevent mjpeg from blocking 2021-02-25 06:34:36 -06:00
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README.md

logo

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 clips of detected objects
  • 24/7 recording
  • Re-streaming via RTMP to reduce the number of connections to your camera

Documentation

View the documentation at https://blakeblackshear.github.io/frigate

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:

Events