摘要
针对新型冠状病毒肺炎疫情防控中部分民众未佩戴口罩,且监控人员执行检查任务重、易交叉感染等问题,基于北斗定位技术和改进的YOLOv5目标检测算法,设计并提出了一款智能口罩识别巡检的防疫机器人,同时搭建了相应管理系统平台,实现了对过往行人口罩佩戴情况自动实时监测及数据管理,从而有助于阻断新冠疫情传播,在一定程度上提高疫情防控力度和管理人员的监督效率。
In the prevention and control of the COVID-19,according to some problems such as some residents without wearing masks,supervisors’heavy checking tasks and the risk of cross-infection,based on BeiDou positioning technology and the improved YOLOv5 object detection algorithm,an epidemic prevention robot for intelligent mask recognition and inspection is designed and proposed.A corresponding management system platform is built for the robot,which realizes automatic real-time monitoring and data management of the wearing of masks by pedestrians.To a certain extent,this could help to interrupt the spread of COVID-19 and improve the intensity of epidemic prevention and control and the supervision efficiency of managers.
作者
蒋平山
柯张镭
孙亚欣
邓健
JIANG Pingshan;KE Zhanglei;SUN Yaxin;DENG Jian(School of Computer and Information Engineering,Xiamen University of Technology,Xiamen 361024,China)
出处
《无线电工程》
北大核心
2023年第6期1416-1420,共5页
Radio Engineering
基金
大学生创新创业训练计划项目。
关键词
北斗
口罩
目标检测
防疫机器人
BeiDou
mask
object detection
epidemic prevention robot
