摘要
随着职业教育的快速发展,技工教育对学生的实训能力要求越来越高。实训操作在技工教育中占据核心地位,传统的教学方式难以在远程环境中实时监督学生的操作细节。基于计算机视觉的技工教育远程实训监控系统能够通过自动化技术,实时监控学生操作行为,提供精确的反馈,成为解决远程教育中监督问题的有效手段。因此,设计并测试了一种基于计算机视觉的技工教育远程实训监控系统。通过图像预处理和特征提取,系统能够识别学生的操作行为,并通过深度学习技术实时分析操作的准确性,生成操作反馈和安全警告。实验结果显示,与传统人工监控相比,该系统在准确率、响应时间和误报率上表现优异,大幅提升了操作监控的智能化和实时性。
With the rapid development of vocational education,vocational education has increasingly high requirements for students'practical training abilities.Practical training plays a core role in vocational education,and traditional teaching methods are difficult to monitor students'operational details in real-time in remote environments.The computer vision based remote training monitoring system for vocational education can use automation technology to monitor students'operational behavior in real time,provide accurate feedback,and become an effective means of solving supervision problems in remote education.Therefore,a computer vision based remote training monitoring system for vocational education was designed and tested.Through image preprocessing and feature extraction,the system can recognize students'operational behavior and analyze the accuracy of operations in real time through deep learning technology,generating operational feedback and safety warnings.The experimental results show that compared with traditional manual monitoring,this system performs excellently in accuracy,response time,and false alarm rate,greatly improving the intelligence and real-time performance of operation monitoring.
作者
吴永挺
WU Yongting(The Second Senior Technical School of Fujian Province,Fuzhou 350007,China)
出处
《智能物联技术》
2025年第1期75-79,共5页
Technology of Io T& AI
关键词
技工教育
计算机视觉
实训监控
行为分析
特征提取
technical education
computer vision
training monitoring
behavior analysis
feature extraction
