| 摘 要: 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。 |
| 关键词: 智能课堂；视频监控；人工智能 |
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中图分类号: TP319
文献标识码: A
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| 基金项目: 2017年福建省中青年教师教育科研(JAT170796)；2017年福建省“大学生创新创业训练计划”(201713773002). |
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| An Intelligent Classroom Monitoring and Analysis System |
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DAI Zhenze,SHI Yan,ZHENG Shaowei,GUO Ziwen,DING Wangbin
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( Fuzhou Polytechnic Institute, Fuzhou 350000, China)
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| Abstract: 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. |
| Keywords: intelligent classroom;video surveillance;artificial intelligence |
