基于深度学习的安全帽佩戴检测实现与分析  

Realization and analysis of helmet wearing detection based on deep learning

作　　者：邓开发[1] 邹振宇 Deng Kaifa;Zou Zhenyu(Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Construction No.1(Group)Co.,Ltd,Engineering Institute;University of Shanghai for Science and Technology,School of Optical Electrical and Computer Engineering)

机构地区：[1]上海工程技术大学,上海201620 [2]上海建工一建集团有限公司工程研究院 [3]上海理工大学光电信息与计算机工程学院

出　　处：《计算机时代》2020年第7期12-15,21,共5页Computer Era

摘　　要：安全帽能够有效减轻事故损害,监督工人的安全帽佩戴显得十分必要。针对工人安全帽佩戴检测,文章提出一种基于深度学习的安全帽佩戴检测方法,用于施工现场摄像头监控的图像和视频目标检测。试验结果表明,该方法能够较好地实现安全帽佩戴的图像和视频检测。Safety helmet can effectively reduce accident damage,so it is very important to supervise workers to wear safety helmet.Aiming at the detection of workers'helmet wearing,this paper provides a method of safety helmet wearing detection based on deep learning,which is used to detect target in the construction site camera monitoring image and video.The test results show that the method can realize the effective detection of safety helmet wearing in the image and video.

关 键 词：深度学习 安全帽佩戴检测 图像检测 视频检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]