基于 OpenCV 的安全帽佩戴识别的分析与实践 Analysis and practice of wearing identification of hard hat based on OpenCV 内容摘要本文主要研究的内容就是对于工地施工人员安全帽佩戴行为的实时动态监测，本文对于安全帽佩戴行为的监测用到了机器学习的检测方法除此之外还可以通过一些扫描仪器对于施工人员的安全帽的佩戴状态进行样本的提取，使用级联分类器对于施工人员是否佩戴安全帽进行判断通过以上的实验和方法，能够做到实时监测施工人员佩戴安全帽的状态安全帽佩戴是否规范，并发出预警，从而可以保证安全帽佩戴的规范性保障施工人员的人身安全。本次实践将这种检测方法分别应用要于行人检测和人脸识别上，可形成对工作现场的一线人员实时监督的监控和进场时佩戴安全帽的门阀。□□关键词：人工智能 opencv 安全帽识别 Abstract In this paper, a detection method of helmet wearing behavior based on machine learning is used to extract feature vectors of samples by using haar features, and then a cascade classifier is used to judge whether there is a safety helmet above the face, so as to realize real-time detection and early warning of safety helmet wearing behavior of construction personnel.In this practice, the detection method is respectively applied to pedestrian detection and face recognition, which can form the real-time supervision and monitoring of front-line personnel at the work site and the door valve for wearing safety helmet when entering the site. □□Key words： Artificial intelligence opencv Helmet identification 目录一、 绪论...............................................................................................................................................11.1、背景........................................................................................................................................11.2、研究现状..............................................................................................................................2二、 图像相关理论基础.......
