blakeblackshear/frigate repository overview

⁠NOTICE: This repository will no longer being updated beginning with version 0.12.0.

Latest images can be found on ghcr instead. Update your image location to ghcr.io/blakeblackshear/frigate:stable

⁠Frigate - NVR With Realtime Object Detection for IP Cameras

Website: https://frigate.video⁠

Documentation: https://docs.frigate.video⁠

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

⁠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: