基于OpenCV的安全帽佩戴识别的分析与实践

AbstractIn this paper,a detection method of helmet wearing behavior based onmachine learning is used to extract feature vectors of samples by using haarfeatures,and then a cascade classifier is used to judge whether there is a safetyhelmet above the face,so as to realize real-time detection and early warning ofsafety helmet wearing behavior of construction personnel.In this practice,thedetection method is respectively applied to pedestrian detection and facerecognition,which can form the real-time supervision and monitoring offront-line personnel at the work site and the door valve for wearing safetyhelmet when entering the site.Key words:Artificial intelligence opencv Helmet identification