基于YOLOv5的自习室人数监控与查询系统  

Study room number monitoring and inquiry system based on YOLOv5

作　　者：郭遇强 赵豪翔 陈思源 张斌[1] GUO Yuqiang;ZHAO Haoxiang;CHEN Siyuan;ZHANG Bin(School of Geo-science and Technology,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学地球科学与技术学院,郑州450001

出　　处：《智能计算机与应用》2023年第3期169-174,181,共7页Intelligent Computer and Applications

基　　金：郑州大学全国大学生创新创业训练计划资助项目(2021cxcy119);郑州大学高层次人才科研启动项目(237-32310319);国家自然科学基金项目(41571394)。

摘　　要：当前,校园中自习室的空间资源利用存在不合理的问题,为了减少学生寻找自习室的时间,提高时间利用效率,通过监控视频数据实时获取校园内各个教室的人数,基于YOLOv5目标检测技术设计并开发了自习室人数监控与查询系统,该系统使用OpenCV-Python模块的VideoCapture子模块,调用YOLOv5算法处理视频帧,将得到的人数数据储存在后端数据库中,为后续功能应用提供数据支撑。At present,there are unreasonable problems in the utilization of space resources of study rooms on the campus.In order to reduce the time for students to search for study rooms and improve the efficiency of time utilization,a monitoring and query system for the number of study rooms is designed and developed based on YOLOv5 target detection technology.The system uses the VideoCapture submodule of OpenCV-Python module to call YOLOv5 algorithm to process video frames,and stores the number data obtained in the back-end database to provide data support for subsequent functional applications.

关 键 词：YOLOv5 目标检测 OpenCV-Python 人数监控 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]