【摘要】 为应对新冠疫情下的区域管理问题,本文开发了一个区域健康智能防疫系统。该系统底层终端以树莓派3B+为硬件核心,采用传感器技术、机器视觉技术和Android技术等进行开发,配以良好的人机交互平台,并通过HTTP请求访问本地服务器将信息汇总至云端数据库,从而实现对区域内用户出行信息的有效采集与存储。通过身份验证、口罩识别、体温检测等方式实现区域人员进出小区管理,并实时上报人员出行数据,方便用户查看及后台管理。该系统在金陵科技学院现场测试,效果良好,实现了智能化人员进出小区管理,具有很好的推广价值。更多还原

【Abstract】 In response to regional management issues under COVID-19, this article has developed a regional health intelligent epidemic prevention system. The bottom terminal of the system uses Raspberry Pi 3B+ as the hardware core, and uses sensor technology, machine vision technology, Android technology and other technologies to develop. The system is equipped with a good human-computer interaction platform, and accesses the local server through HTTP requests to summarize the information to the cloud database, so the user travel information in the region can be stored and collected effectively. Through identity verification, mask recognition, and body temperature detection, the management of regional personnel entering and exiting the community is realized, and personnel travel data are reported in real time, which is convenient for users to view and for administrator to realize back-end management. The system has been tested on-site by Jinling Institute of Technology, and the effect is good. It has realized the management of intelligent personnel entering and exiting the community, and has good promotion value.更多还原