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46 lines
2.0 KiB
Markdown
46 lines
2.0 KiB
Markdown
<p align="center">
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<img align="center" alt="logo" src="docs/static/img/frigate.png">
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</p>
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# Frigate - NVR With Realtime Object Detection for IP Cameras
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A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
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Use of a [Google Coral Accelerator](https://coral.ai/products/) 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](https://github.com/blakeblackshear/frigate-hass-integration)
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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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## Documentation
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View the documentation at https://docs.frigate.video
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## Donations
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If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
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## Screenshots
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Integration into Home Assistant
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<div>
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<a href="docs/static/img/media_browser.png"><img src="docs/static/img/media_browser.png" height=400></a>
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<a href="docs/static/img/notification.png"><img src="docs/static/img/notification.png" height=400></a>
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</div>
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Also comes with a builtin UI:
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<div>
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<a href="docs/static/img/home-ui.png"><img src="docs/static/img/home-ui.png" height=400></a>
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<a href="docs/static/img/camera-ui.png"><img src="docs/static/img/camera-ui.png" height=400></a>
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</div>
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