DESIGN AND IMPLEMENTATION OF UNIVERSITY CLASSROOM QUALITY MONITORING PLATFORM BASED ON OPENPOSE

ABSTRACT

With the rapid development and popularization of the education industry, the number of all kinds of schools and educational institutions is increasing, and the problems in the teaching process are becoming increasingly prominent, especially the non-standard behaviors of students in the classroom and the proper teaching methods of teachers, which directly affect the teaching quality and learning effect. In this context, this paper designs a human bone key point monitoring technology and CNN algorithm based on OpenPose, which is specially used to realize intelligent monitoring of classroom teaching and provides objective and accurate data support by automatically identifying and recording key information in the teaching process, such as students’ behaviors and teachers’ teaching methods. Help education administrators and teachers to understand the teaching process more comprehensively, identify problems in time and take measures to correct them. At the same time, the platform can analyze students’ learning behaviors and learning effects, provide teachers with targeted teaching suggestions, help them optimize teaching strategies and teaching methods, and improve teaching effects and students’ learning efficiency.

KEYWORDS

OpenPose; CNN; Computer vision; OpenCV; Deep learning