基于疫情防控的校园出入车辆管理系统设计与实现  

Design and implementation of campus vehicle management system based on epidemic prevention and control

作　　者：苏萍 李玉洁 SU Ping;LI Yujie(School of Computer and Information Engineering,Nantong Institute of Technology,Nantong,Jiangsu 226001,China)

机构地区：[1]南通理工学院计算机与信息工程学院,江苏南通226001

出　　处：《计算机应用文摘》2022年第22期68-70,共3页Chinese Journal of Computer Application

摘　　要：受当前疫情影响,如何高效、准确地识别检测进出高校的车辆是值得重点研究的问题。文章提出的基于疫情防控的校园出入车辆管理系统采用百度AI的车辆识别技术,对出入校园车辆进行识别,可实现车牌识别、职工车辆自动判别、车位信息可视化以及疫情防控等多种功能,实验结果表明,课题研究的基于疫情防控的校园出入车辆管理系统基本可以满足校园出入车辆管理的需求。Affected by the current epidemic,how to efficiently and accurately identify and detect the vehicles entering and leaving universities is a problem worth key research.The campus vehicle management system based on epidemic prevention and control is based on Baidu AI vehicle recognition technology.which identifies vehicles in and leaving the campus,and can realize various functions such as license plate recognition,automatic identification of employee vehicles,visualization of parking information and parking income,and epidemic prevention and control.The experimental results show that the campus access vehicle management system based on epidemic prevention and control can basically meet the needs of campus access vehicle management.

关 键 词：车辆识别 管理系统 图像识别 

分 类 号：U172[交通运输工程]