节点文献
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
【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。
【Abstract】 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.
【Key words】 YOLOv5; target detection; OpenCV-Python; population monitoring;
- 【文献出处】 智能计算机与应用 ,Intelligent Computer and Applications , 编辑部邮箱 ,2023年03期
- 【分类号】G434;TP391.41
- 【下载频次】89