Design and implementation of safety helmet detection system based on computer vision

doi:10.1117/12.2626829

CORC > 兰州理工大学 > 兰州理工大学

	Design and implementation of safety helmet detection system based on computer vision
	Wu, Huifen 1; Liao, Zhiquan 2
	2021
会议日期	NOV 19-21, 2021
会议地点	Sanya, PEOPLES R CHINA
关键词	computer vision convolutional neural network YOLOv3 safety helmet detection
卷号	12155
DOI	10.1117/12.2626829
英文摘要	Production safety is an eternal topic in industrial production. It is very important to detect the wearing condition of workers' safety helmets in construction sites to reduce the occurrence of production accidents. We collected pictures of construction site workers' hard hats, and then preprocessed and labeled them to train and test our models. In this paper, object detection algorithm based on convolutional neural network (YOLOv3) is used to detect whether workers wear safety helmets. Then, the model is improved and optimized by data enhancement, modifying training parameters and increasing training times. Experimental results show that the accuracy of the model is 83.48%, which indicates that the model has good generalization ability and can obtain better real-time recognition and detection effect under the condition of guaranteeing accuracy.
会议录	INTERNATIONAL CONFERENCE ON COMPUTER VISION, APPLICATION, AND DESIGN (CVAD 2021)
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING
语种	英语
ISSN号	0277-786X
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
WOS记录号	WOS:000797397800026
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158975]
专题	兰州理工大学
作者单位	1.Lanzhou Univ Technol, Sch Econ & Management, Lanzhou, Peoples R China; 2.Pingdingshan Univ, Sch Informat Engn, Pingdingshan, Henan, Peoples R China
推荐引用方式 GB/T 7714	Wu, Huifen,Liao, Zhiquan. Design and implementation of safety helmet detection system based on computer vision[C]. 见:. Sanya, PEOPLES R CHINA. NOV 19-21, 2021.