Student attention detection model based on machine learning

Abstract

The invention relates to a student attention detection model based on machine learning. The invention relates to the technical field of student attention detection devices. The classroom comprises a classroom main body, a mounting frame and a first monitoring module, student seats are arranged at the lower end in the classroom main body, a blackboard is arranged on the inner wall of the right sideof the classroom main body, the mounting frame is embedded in the upper ends of the inner walls of the two sides of the classroom main body, and a first camera is connected to the upper end of the inner wall of the right side of the classroom main body. The monitoring system has the beneficial effects that students can be monitored in all directions, the situation that the first camera is hindered by student seats is avoided, the class state of teachers in front can be monitored while the students are monitored, and therefore schools can comprehensively monitor and detect the states of the students and the teachers.

Description

technical field [0001] The invention relates to the technical field of student attention detection devices, in particular to a student attention detection model based on machine learning. Background technique [0002] For students who have just entered elementary school and started full-time study, they generally have no self-control, and tend to divert their attention when the teacher is teaching, which leads to a decrease in classroom efficiency. However, teachers face a large number of students with limited energy and cannot target Every student corrects their behavior, but parents, an important part of the education process, cannot supervise and correct their children on a daily basis because they cannot grasp their children's classroom learning status. device. [0003] The existing devices for detecting students' attention in class all monitor and monitor the status of students through a camera, but the monitoring video cannot be transmitted to the hands of the parents...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a student attention detection model based on machine learning, to solve the existing devices for student attention detection in class proposed in the above background technology all monitor and monitor the state of students through a camera, and the monitoring video It cannot be delivered to the parents of the students, and can only be observed by the school staff, and the surveillance video only captures the students' class situation, and can only detect the students' general class status, and cannot accurately detect whether the students are distracted. There are many students in the video, it is difficult for the staff to analyze the status of each student

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