Abstract:To solve the problems that the existing classroom process management method is backward and that the functions of the current classroom management system are limited, this study designs an intelligent management system that integrates classroom attendance checking, classroom behavior recognition and management, and autonomous learning management. The system uses the depth vision sensor Kinect V2 as its data acquisition device and LabVIEW as its software development platform. It fulfills a classroom attendance checking function based on the combination of face recognition and mobile device positioning, a classroom behavior recognition and analysis function based on skeleton feature extraction and the support vector machine (SVM) classifier, and a student autonomous learning management function based on MyEclipse and MySQL database. The experimental results show that the recognition accuracy of the system for face recognition sign-in reaches 97% and its accuracy of classroom behavior recognition is more than 95%. The database design is reasonable and well established, and the autonomous learning function is flexible and reliable.