blakeblackshear.frigate/docs/docs/index.md

id	title	slug
index	Introduction	/

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 strongly recommended. CPU detection should only be used for testing purposes. 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
• Recording with retention based on detected objects
• Re-streaming via RTMP to reduce the number of connections to your camera
• A dynamic combined camera view of all tracked cameras.

Screenshots