+
+
+[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
[](https://opensource.org/licenses/MIT)
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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 目标/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。
-\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
+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/)等）。它们的运行效率远远高于现在的顶级 CPU，并且功耗也极低。
-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.
+- 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目标，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
+- 使用非常低开销的画面变动检测（也叫运动检测）来确定运行目标检测的位置
+- 使用 TensorFlow 进行目标检测，并运行在单独的进程中以达到最大 FPS
+- 通过 MQTT 进行通信，便于集成到其他系统中
+- 根据检测到的物体设置保留时间进行视频录制
+- 24/7 全天候录制
+- 通过 RTSP 重新流传输以减少摄像头的连接数
+- 支持 WebRTC 和 MSE，实现低延迟的实时观看
-Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported [object detectors](https://docs.frigate.video/configuration/object_detectors/).
+## 社区中文翻译文档
-- 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
-- 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
+你可以在这里查看文档 https://docs.frigate-cn.video
-## Documentation
+## 赞助
-View the documentation at https://docs.frigate.video
+如果您想通过捐赠支持开发，请使用 [Github Sponsors](https://github.com/sponsors/blakeblackshear)。
-## Donations
+## 协议
-If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
+本项目采用 **MIT 许可证**授权。
-## License
+**代码部分**：本代码库中的源代码、配置文件和文档均遵循 [MIT 许可证](LICENSE)。您可以自由使用、修改和分发这些代码，但必须保留原始版权声明。
-This project is licensed under the **MIT License**.
+**商标部分**：“Frigate”名称、“Frigate NVR”品牌以及 Frigate 的 Logo 为 **Frigate, Inc. 的商标**，**不在** MIT 许可证覆盖范围内。
+有关品牌资产的规范使用详情，请参阅我们的[《商标政策》](TRADEMARK.md)。
-- **Code:** The source code, configuration files, and documentation in this repository are available under the [MIT License](LICENSE). You are free to use, modify, and distribute the code as long as you include the original copyright notice.
-- **Trademarks:** The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are **trademarks of Frigate, Inc.** and are **not** covered by the MIT License.
+## 截图
-Please see our [Trademark Policy](TRADEMARK.md) for details on acceptable use of our brand assets.
-
-## Screenshots
-
-### Live dashboard
+### 实时监控面板
-
+## 非官方中文讨论社区
+
+欢迎加入中文讨论 QQ 群：[1043861059](https://qm.qq.com/q/7vQKsTmSz)
+
+Bilibili：https://space.bilibili.com/3546894915602564
+
+## 中文社区赞助商
+
+[](https://edgeone.ai/zh?from=github)
+本项目 CDN 加速及安全防护由 Tencent EdgeOne 赞助
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