首页|基于YOLOv5的安全帽佩戴检测算法

基于YOLOv5的安全帽佩戴检测算法

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随着我国气象事业的不断发展,相关设施的建设及气象设备的更新需要投入大量技术人员在工地作业.为了严守安全生产红线,以现代化信息技术加强相关施工区域站的人员安全监管势在必行.文章基于YOLOv5(You Only Look Once version 5)目标检测算法训练的安全帽佩戴检测算法,可以实时检测工作人员的安全帽佩戴情况,在保障施工现场人员安全、减少安全事故发生方面具有积极作用.
Helmet Wearing Detection Algorithm Based on YOLOv5
With the continuous development of meteorological undertakings in China,the construction of related facilities and the update of meteorological equipment require a large number of technical personnel to work on the construction site.In order to ensure safe production,it is imperative to strengthen the safety supervision of personnel in relevant construction area stations with modern information technology.Based on the YOLOv5(You Only Look Once version 5)target monitoring algorithm,the helmet wearing detection algorithm can detect the helmet wearing of workers in real time,which has a positive effect on ensuring the safety of construction site personnel and reducing the occurrence of safety accidents.

Regional stationYOLOv5Target detectionDeep learning

杨柏松、周文娟、马洁、郭航

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西宁市气象站,西宁 810000

区域站 YOLOv5 目标检测 深度学习

2024

青海科技
青海省科学技术厅

青海科技

影响因子:0.052
ISSN:1005-9393
年,卷(期):2024.31(3)
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