基于YOLOv5的无人机森林烟焰识别系统

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI:10.1109/CISCE58541.2023.10142825

Fan Huang, Kai Fu, Zhihui Liu, Chengjun Zou, Kang Li, Siyong Fu

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引用次数: 0

摘要

当前，森林防火仍面临严峻而复杂的形势。为了解决传统森林火灾探测效率低的问题，提出了一种利用无人机采集数字图像和PC机进行实时智能识别的森林火灾探测系统。该无人机配备了高清摄像机，通过无线图像传输技术将数字图像实时传输到PC。PC机通过YOLOv5目标检测算法对图像进行识别，并及时将结果显示在PC机页面上，最终实现对森林火灾的实时监控。

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UAV Forest Smoke and Flame Recognition System Based on YOLOv5

At present, forest fire prevention is still facing a severe and complicated situation. In order to solve the problem of low efficiency of traditional forest fire detection, a forest fire and fire detection system is proposed, which uses uAV to collect digital images and PC for real-time intelligent recognition. The UAV is equipped with a high-definition camera and transmits digital images to the PC in real time through wireless image transmission technology. The PC recognizes the image through the YOLOv5 target detection algorithm and displays the results on the PC page in time, finally realizing real-time monitoring of forest fires.

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来源期刊

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)

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