基于深度图像与大数据建模的自习教室管理系统

Self-study Classroom Management System Based on Depth Image and Big Data Modeling

针对大多数高校自习教室存在高峰期座位短缺、资源浪费、纪律维护困难、利用物品占座位现象严重等实际问题,设计与实现一个包含学生通道、管理通道的双通道自习室管理系统。该系统基于深度图像与大数据建模技术,以"自习格子"APP的形式为学生个性化选择自习室提供参考,同时将综合评价结果提供给学校相关管理部门,方便学校对自习室进行统筹规划。研究结果表明:该系统界面美观、交互良好、性能优异,能很好地满足高校自习教室管理需求。

This paper designs and implements a two-channel self-study classroom management system including student channels and management channels.Based on the technology of depth image and large data modeling,in the form of selfstudy grid APP,can provide a reference for students to individually choose self-study rooms,and provide the comprehensive evaluation results to the relevant school management departments,so as to facilitate the overall planning of the school selfstudy rooms.