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Evaluation of classroom teaching quality based on video processing technology

机译:基于视频处理技术的课堂教学质量评价

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High quality teaching has always been the pursuit of universities, but the automatic and real time evaluation on the quality of classroom teaching has not been achieved. To solve this problem, a real-time processing of classroom video through face detection technology and a software system to provide a basis for judging the quality of teaching is proposed in this paper. The main application of machine learning and deep learning is to build the face detection algorithm, and the application of C# and Hikvision SDK are for the second development building software interface and nestification of software systems.
机译:高质量的教学一直是大学追求的目标,但是尚未实现对课堂教学质量的自动和实时评估。为解决这一问题,本文提出了一种通过人脸检测技术对教室视频进行实时处理的软件系统,为判断教学质量提供了依据。机器学习和深度学习的主要应用是构建人脸检测算法,而C#和Hikvision SDK的应用则用于二次开发构建软件接口和嵌套软件系统。

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