摘要
针对施工作业人员不佩戴安全帽的问题,设计了一种基于计算机视觉的嵌入式智慧工地安全帽检测系统并进行了实用性的算法改进,解决了人力检测效率低下、标准不一的问题,同时提升了在目标检测领域小目标检测的精度。介绍了人工和传统算法在安全帽佩戴监管方面的弊端以及嵌入式系统的优势,详细介绍了算法优化的方法以及本系统的实验结果。
For the problem of construction workers not wearing helmets,a computer vision-based embedded intelli gent site helmet detection system is designed and practical algorithm improvements are made to solve the problem of inefficiency and inconsistent standards due to human detection,while improving the accuracy of small target detection in the field of target detection.The disadvantages of manual and traditional algorithms in helmet wearing supervision and the advantages of the embedded system are introduced,and the methods of algorithm optimization and the experi mental results of this system are described in detail.
作者
焦双健
王超
JIAO Shuangjian;WANG Chao(College of Engineering,Ocean University of China,Qingdao Shandong 266200,China)
出处
《工业安全与环保》
2023年第4期26-28,共3页
Industrial Safety and Environmental Protection
