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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 GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs 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

View the documentation at https://docs.frigate.video

If you would like to make a donation to support development, please use Github Sponsors.

We use Weblate to support language translations. Contributions are always welcome.