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.
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Tight integration with Home Assistant via a custom component
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Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
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Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
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Uses a very low overhead motion detection to determine where to run object detection
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Object detection with TensorFlow runs in separate processes for maximum FPS
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Communicates over MQTT for easy integration into other systems
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Records video with retention settings based on detected objects
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24/7 recording
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Re-streaming via RTMP to reduce the number of connections to your camera
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add ARM optimizations for cpu-side detection
View the documentation at https://docs.frigate.video
If you would like to make a donation to support development, please use Github Sponsors.
Integration into Home Assistant
Also comes with a builtin UI:
