Remote video teaching quality evaluation method and system based on machine vision

Abstract

The invention discloses a remote video teaching quality evaluation method and system based on machine vision. The method comprises the following steps of obtaining a face image, a learning state imageand a classroom scene image of each student; matching the periodically acquired face images with a preset face sample library after 3D transformation to obtain student identity information; transmitting the periodically acquired student learning state images to a pre-trained deep neural network model to obtain the learning behavior of each student; and performing real-time image processing on theclassroom scene image to obtain personnel exception aggregation information. After learning is finished, statistics and analysis are carried out on student identity information and learning behaviors, attendance and learning quality scores and comments of the students are obtained according to attendance and learning quality evaluation rules, and automatic student attendance of remote teaching isachieved; based on the remote teaching monitoring method, automatic attendance checking, automatic learning quality evaluation and teaching order maintenance of students in remote teaching are completed.

Description

technical field [0001] The invention relates to the technical field of remote teaching monitoring, in particular to a method and system for evaluating the quality of remote video teaching based on machine vision. Background technique [0002] The advancement of science and technology has brought great changes to the traditional teaching mode. The original teaching by teachers in the classroom has gradually given way to video teaching and remote online teaching, that is, a large number of students use large-screen TVs in the classroom to attend classes by watching video courseware or teaching videos of remote network teachers, without teachers in the classroom. In the traditional teaching mode, teachers teach in the classroom, not only to impart knowledge to students, but also to maintain classroom discipline and ensure the quality of learning of students. When using video teaching and remote network teaching, students can watch video courseware Knowledge can be obtained, bu...

AI Technical Summary

Problems solved by technology

This can effectively prevent irrelevant personnel from entering the classroom, and can also prevent some "substitute learners" and "substitute learners" from entering the classroom, so that the learning discipline of the classroom can be partially guaranteed, but this method cannot deal with the teaching order problems caused by authorized students. Failure to maintain teaching discipline in a timely manner, let alone guarantee the learning quality of students

[0004] In addition, in order to ensure classroom learning discipline and students' learning quality during video teaching and remote online teaching, people also try to install surveillance cameras in classrooms to transmit video images in classrooms back to the school monitoring room in real time, and play them on designated monitors. Relevant responsible teachers or management personnel to observe the learning discipline in the classroom and the learning status of the students; but this method requires the video streams collected by many cameras in many classrooms to be played on the display wall in the monitoring room or on the monitoring computer. It is difficult to detect some emergencies in the classroom in time. At the same time, the video images captured by the camera have a perspective phenomenon of large distances and small perspectives. The students who are far away from the camera are smaller in the video images, and it is difficult to see whether they are listening to the class normally. ; Though this mode collects the learning pictures in the classroom in real time and displays, records and replays them in the monitoring room, it can play a certain deterrent effect on students who do not study hard, but there are still guarantees that the learning discipline in the classroom is not timely and guarantees The problem of incomplete learning quality of students makes it even more difficult to make a standardized and intelligent evaluation of the learning quality of all students

Therefore, there is still a lack of effective ways to improve classroom discipline and how to ensure the quality of learning when students are studying.

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