后疫情时代基于人工智能的校园检测管理系统设计

Design on campus detection and management system based on artificial intelligence in post epidemic era

2020年新型冠状病毒的出现给人类带来了巨大影响,疫情防控成为常态化,因此文章研究了基于抗疫常态化的智慧校园系统设计与实现。系统主要实现了线上点餐跳转、自习座位预约、行踪轨迹查询、人脸识别等功能。本系统是基于微信小程序进行开发,使用Java SpringBoot框架编写后台服务器端,使用JPA简洁管理MySQL数据库。本系统提高了高校疫情防控效率,具有良好的实用价值和推广前景。

The appearance of New Coronavirus in 2020 has brought great influence to mankind.Epidemic prevention and control become normalization.Therefore,this topic is based on the design and implementation of intelligent campus system under the normalization of epidemic prevention.The system mainly realizes the online order jump function,self-study seat reservation function,track query,face recognition and other functions.This system is based on WeChat small program development,using Java SpringBoot framework to write the background server,using JPA concise management of MySQL database.The system improves the efficiency of epidemic prevention and control in colleges and universities,and has good practical value and promotion prospects.