# frigate **Repository Path**: image_-projects/frigate ## Basic Information - **Project Name**: frigate - **Description**: https://github.com/blakeblackshear/frigate - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-01-15 - **Last Updated**: 2025-01-15 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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# Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. 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. - Tight integration with HomeAssistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration) - 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 clips of detected objects - 24/7 recording - Re-streaming via RTMP to reduce the number of connections to your camera ## Documentation View the documentation at https://blakeblackshear.github.io/frigate ## Donations If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear). ## Screenshots Integration into HomeAssistant
Also comes with a builtin UI:
![Events](docs/static/img/events-ui.png)