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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.
Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/), [Hailo](https://hailo.ai/), or [MemryX](https://memryx.com) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/) or [Hailo](https://hailo.ai/) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
- Tight integration with Home Assistant 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

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一个完整的本地网络视频录像机NVR专为[Home Assistant](https://www.home-assistant.io)设计具备AI物体检测功能。使用OpenCV和TensorFlow在本地为IP摄像头执行实时物体检测。
强烈推荐使用GPU或者AI加速器例如[Google Coral加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/) 或者 [MemryX](https://memryx.com)。它们的性能甚至超过目前的顶级CPU并且可以以极低的耗电实现更优的性能。
强烈推荐使用GPU或者AI加速器例如[Google Coral加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)。它们的性能甚至超过目前的顶级CPU并且可以以极低的耗电实现更优的性能。
- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与Home Assistant紧密集成
- 设计上通过仅在必要时和必要地点寻找物体,最大限度地减少资源使用并最大化性能
- 大量利用多进程处理,强调实时性而非处理每一帧