A Pose Intelligent Monitoring System Based on Message Queuing Telemetry Transport Protocol in the Classroom Background

Abstract

The prosperity of education contributes to national prosperity and socioeconomic development. The expanding student population in compulsory education makes it technically difficult for teachers to assess students' behavior and learning attitudes. In order to regulate classroom teaching and prevent students from leaving early, missing classes, or cheating on exams, schools have purchased video surveillance equipment and thus made such products enter the education market. However, the current combination of cameras and video recorders has a limited effect due to the lack of intelligent factors. To address this problem, this study is dedicated to introducing an artificial intelligence solution in the education field to deepen education informatization, i.e., using a pose detection algorithm to achieve intelligent monitoring of students' poses in a classroom background through the subscribe and publish mechanism in the Message Queuing Telemetry Transport (MQTT) protocol. The system is able to reflect the students' classroom performance to the teacher, which plays an essential role in promoting the development of teaching programs and improving teaching quality.