现代信息科技2024，Vol.8Issue(12)：151-154,4.DOI:10.19850/j.cnki.2096-4706.2024.12.032
基于深度学习的医院口罩佩戴检测系统研制
Development of Hospital Mask Wearing Detection System Based on Deep Learning
摘要
Abstract
According to the characteristics of large flow of people,short detection time and many interfering factors,the design of hospital mask wearing detection system is studied.The detection data set of hospital mask wearing is made,and the position and category of mask wearing are marked by using the LabelImg tool.In order to reduce the influence of illumination on the detection performance,the image is whitened.The YOLOv5 model is selected for detection,the number of iterations is set to different values,and the model is trained and the evaluation index values are compared to find the appropriate number of iterations.The display page based on Flask and ECharts is constructed to realize real-time detection of hospital video surveillance pictures.It reduces false detection and missed detection,and saves manpower and material resources.关键词
深度学习/口罩佩戴/目标检测/Flask框架Key words
Deep Learning/mask wearing/target detection/Flask frame分类
信息技术与安全科学引用本文复制引用
鄢小虎,王姗,翟金龙..基于深度学习的医院口罩佩戴检测系统研制[J].现代信息科技,2024,8(12):151-154,4.基金项目
国家自然科学基金项目(62102268) （62102268）
深圳市高等院校稳定支持计划项目(20220812102547001) （20220812102547001）
深圳职业技术大学校级科研基金项目(6022312044K,6024310045K,6023310030K) （6022312044K,6024310045K,6023310030K）
