摘要
随着国家新冠肺炎疫情防控工作的有效开展,各行各业已经开始积极恢复工作和生产,因此,对于火车站、机场、地铁站、学校、事业单位等场所的人员出入管理和防疫检查显得尤为重要。设计了一种集身份识别、体温检测、消毒杀菌、异常预警于一体的疫情检测系统。该技术主要基于卷积神经网络的深度学习系统,通过OpenMV机器视觉模块并结合LBP处理算法,红外测温传感器将采集到的数据传递给主控芯片,主控芯片依据预设程序处理判断数据,执行温度测量与身份识别等功能,将信息利用串口屏进行人机交互,同时语音播报报警及相关操作提示。利用物联网技术,相关数据会上传到云端进行处理,方便在多个云端设备查看。经应用后表明:疫情一体化检测系统不仅能够高效率完成出入人员疫情期间的防疫需要,并且在今后重大传染疾病的预防控制上,提供了一种有效解决方法。
With the continuous progress of the national epidemic prevention and control work,various industries have begun to actively resume work and production.It is particularly important for personnel access management and epidemic prevention inspections in railway stations,airports,subway stations,schools,institutions and other places.This paper designs an epidemic detection system that integrates identity recognition,body temperature detection,disinfection and sterilization,and abnormal early warning.This technology is mainly based on the deep learning system of convolutional neural network.Through the OpenMV machine vision module and combined with the LBP processing algorithm,the infrared temperature sensor transmits the collected data to the main control chip,and the main control chip processes the judgment data according to the preset program.Perform functions such as temperature measurement and identity recognition,use the serial port screen for human-computer interaction,and voice alarms and related operation prompts.Using the Internet of Things technology,relevant data will be uploaded to the cloud for processing,which is convenient for viewing on multiple cloud devices.Experimental results show that the integrated epidemic detection door can not only efficiently complete the epidemic prevention needs of entry and exit personnel during the epidemic,but also provide an effective solution for the prevention and control of major infectious diseases in the future.
作者
王哲磊
梁广宇
袁满
潘越丰
钱涛杰
WANG Zhelei;LIANG Guangyu;YUAN Man;PAN Yuefeng;QIAN Taojie(College of Automation and Electrical Engineering,Tianjin Vocational and Technical Normal University,Tianjin 300222,China)
出处
《技术与市场》
2022年第2期34-37,共4页
Technology and Market
基金
天津市级大学生创新创业训练计划项目资助(202110066059)。
关键词
物联网
疫情
身份识别
测温消毒
卷积神经网络
internet of things
epidemic
identity recognition
temperature measurement and disinfection
convolutional neural network
