燕山大学学报2024，Vol.48Issue(3)：229-235,243,8.DOI:10.3969/j.issn.1007-791X.2024.03.005
基于Raspberry Pi的安全帽识别系统设计与实现
Design and implementation of safety helmet recognition system based on Raspberry Pi
摘要
Abstract
In order to facilitate the automatic identification of personnel in construction hazardous areas,a algorithm based on Raspberry Pi to identification safety helmet is proposed.Filtering and morphology processing are applied to the original video image collected by the camera,and then identify the safety helmet in the image.For the color safety helmet,the original image is converted to the HSV space,and the three colors of red,yellow and blue safety helmets are simultaneously identified according to the setting of different color hue thresholds,and the wrong target is eliminated combined with the shape characteristics.For the white safety helmets,the original image is converted into a grayscale image under the B channel,which solves the problem of misdetecting yellow as white.The V-channel histogram equalization method is used to improve the image brightness under dim light conditions.The experimental results show that the algorithm was able to identify monochrome safety helmets with an accuracy of more than 91％and more than 90％recognition rate for color safety helmets without prior training,which provides a solution for the safety hazard investigation and operation control in construction dangerous areas.关键词
Raspberry Pi/颜色识别/HSV空间/直方图均衡化/安全帽Key words
Raspberry Pi/color recognition/HSV space/histogram equalization/safety helmet分类
信息技术与安全科学引用本文复制引用
王鑫,史艳国,李艳文..基于Raspberry Pi的安全帽识别系统设计与实现[J].燕山大学学报,2024,48(3):229-235,243,8.基金项目
河北省科学技术研究与发展计划资助项目(19221909D) （19221909D）
教育部产学合作协同育人项目资助项目(202002072007) （202002072007）
秦皇岛市科学技术研究与发展计划资助项目(201902A012) （201902A012）
