Classroom quality evaluation system and method based on deep learning target detection

A technology of deep learning and target detection, applied in the field of deep learning, to achieve the best teaching effect and realize the effect of teaching effect

Inactive Publication Date: 2019-12-27
BEIJING UNIV OF POSTS & TELECOMM
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Such methods are usually analyzed in class and require additional equipment support

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  • Classroom quality evaluation system and method based on deep learning target detection
  • Classroom quality evaluation system and method based on deep learning target detection
  • Classroom quality evaluation system and method based on deep learning target detection

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Embodiment Construction

[0032] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0033] There are obvious deficiencies in the current methods used by colleges and universities to evaluate the quality of classroom teaching, and classroom teaching, as the main part of college teaching, plays a vital role in improving the quality of teaching. Therefore, evaluating and improving teaching quality has become a common demand of schools, teachers and students. With the continuous development of monitoring equipment, the picture quality of campus surveillance video has been continuously improved, but so far this part ...

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Abstract

The invention discloses a classroom quality evaluation system and method based on deep learning target detection, and the system comprises: a data obtaining module which is used for obtaining a real-time monitoring video stream of a classroom and a corresponding timestamp; a video preprocessing module that is used for preprocessing the real-time monitoring video stream; a detection and calculationmodule that is used for inputting a pre-trained video frame into the model according to the preprocessed real-time monitoring video stream so as to detect the attendance number and/or the head-up number of classroom monitoring video pictures; and a statistical evaluation module that is used for generating an evaluation result according to the attendance number and/or the head-up number. Accordingto the system, the deep learning target detection model is used for obtaining the real-time attendance condition and the head-up rate of a classroom; the multi-scale features are detected by using the feature pyramid to improve the detection effect, so that the good balance between the calculated amount and the accuracy is realized, the situation of the whole class can be counted, the teaching mode adjustment of teachers is facilitated, and the optimal teaching effect is realized.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a classroom quality evaluation system and method based on deep learning target detection. Background technique [0002] Smart classroom is a form of digital classroom development in the future. It uses modern means to cut into the entire teaching process, making the classroom simple, efficient and intelligent, and can better meet the needs of schools, teachers and students. With the gradual deepening of the construction of smart classrooms in various universities, smart classrooms have become a very important application. At present, the teaching in colleges and universities is mainly based on face-to-face teaching in classrooms. In order to achieve good teaching effects, it is very important to ensure the quality of classroom teaching. Therefore, using a reasonable teaching quality assessment method to understand the classroom status will help to adjust the teachi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06K9/00
CPCG06Q10/06395G06Q50/205G06V20/40G06V20/52
Inventor 欧中洪康霄阳宋美娜
Owner BEIJING UNIV OF POSTS & TELECOMM
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