智能课堂监控与分析系统

An Intelligent Classroom Monitoring and Analysis System

为解决传统监控系统耗时长,效率低,可靠性差等问题,本文基于人工智能技术,对传统监控系统进行改进提升,设计一个智能课堂监控与分析系统。该系统综合使用Java编程技术、图像视频处理技术、机器学习技术,对学生在课堂上的行为表现进行智能地识别与分析,实现从人工监控到智能监控的转变,从而大幅提升课堂质量管控。

In order to solve the problems of long time,low efficiency and poor reliability of traditional monitoring systems,this paper improves the traditional monitoring system based on artificial intelligence technology and designs an intelligent classroom monitoring and analysis system.The system uses Java programming technology,image and video processing technology,and machine learning technology to intelligently identify and analyze the behaviors of students in the classroom,and realizes the transition from manual monitoring to intelligent monitoring,thereby greatly improving classroom quality control.