该系统在本地计算机上使用 YOLOv5 模型进行烟雾检测。YOLOv5 是一种高效的目标检测模型，能够在复杂的场景中快速识别火灾烟雾。该模型部署在高性能硬件上，以确保实时响应和高精度的检测效果，在使用时对获取的图片可以进行推理，以检测火情。 YOLOv5-Lite 部署 在树莓派上部署了 YOLOv5-Lite 版本，以实现低功耗设备上的烟雾检测。YOLOv5-Lite 是 YOLOv5 的简化版本，专为资源受限的设备设计，尽管计算资源有限，它仍能提供可靠的检测性能。树莓派设备负责监控远程或野外的森林区域，上位机可获得相应检测结果。
☆32Sep 6, 2024Updated last year
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