Scholarlink

This paper proposes an integrated intelligent management solution for the education sector: the Lingxi Zhitong Classroom Intelligent Recognition System. By deeply integrating AI visual recognition, microservices architecture, and multimodal data analysis technologies, the system constructs a comprehensive functional framework covering classroom teaching management, student behavior analysis, intelligent attendance tracking, and laboratory safety monitoring. Through a layered decoupled architecture and dynamic resource scheduling, it achieves millisecond-level response times. Leveraging an end-to-end security control mechanism ensures data compliance, ultimately forming a closed-loop educational management system from terminal sensing to decision support. This research provides a practical technical solution for educational informatization, effectively enhancing teaching management efficiency and standardizing student behavior, while enriching the application scenarios and functional dimensions of existing intelligent educational management systems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design and Implementation of a Classroom Management System Based on Visual and MCP Large Models

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Yuan Shilan,
  • Mo Zilin,
  • Lu Cuibing,
  • Zhang Cailing,
  • Yu Runhan,
  • Liu Jia

摘要

This paper proposes an integrated intelligent management solution for the education sector: the Lingxi Zhitong Classroom Intelligent Recognition System. By deeply integrating AI visual recognition, microservices architecture, and multimodal data analysis technologies, the system constructs a comprehensive functional framework covering classroom teaching management, student behavior analysis, intelligent attendance tracking, and laboratory safety monitoring. Through a layered decoupled architecture and dynamic resource scheduling, it achieves millisecond-level response times. Leveraging an end-to-end security control mechanism ensures data compliance, ultimately forming a closed-loop educational management system from terminal sensing to decision support. This research provides a practical technical solution for educational informatization, effectively enhancing teaching management efficiency and standardizing student behavior, while enriching the application scenarios and functional dimensions of existing intelligent educational management systems.