计算机与数字工程2024，Vol.52Issue(10)：2902-2907,2925,7.DOI:10.3969/j.issn.1672-9722.2024.10.009
复杂环境下口罩佩戴检测算法研究
Research on Mask Wearing Detection Algorithm in Complex Environment
宋金秋 1李向荣 1薛鹏1
作者信息
- 1. 青岛科技大学机电工程学院 青岛 266061
- 折叠
摘要
Abstract
Under the requirements of epidemic prevention and control,mask wearing detection is affected by interference fac-tors,complex environment and other aspects,so efficient wearing detection is of great significance.To solve the above problems,an improved algorithm based on YOLOv5 is proposed.Firstly,mask data set is preprocessed in complex scenes,including frequency domain image enhancement algorithm,Mosaic and Mix up image fusion algorithm.Secondly,change the network model CSP mod-ule of YOLOv5 into CSP1-1.Some CBL modules are replaced with CBS modules.In addition,three CBAM attention mechanism modules were added to improve its detection accuracy by 1.9%on the basis of maintaining the original model,enabling real-time and accurate mask wearing detection for pedestrians.关键词
复杂环境/口罩佩戴检测/YOLOv5/数据增强/注意力机制Key words
complex environment/mask wearing test/YOLOv5/data to enhance/attentional mechanism分类
信息技术与安全科学引用本文复制引用
宋金秋,李向荣,薛鹏..复杂环境下口罩佩戴检测算法研究[J].计算机与数字工程,2024,52(10):2902-2907,2925,7.
