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Student classification method and system based on deep learning

A technology of deep learning and classification methods, applied in character and pattern recognition, instruments, data processing applications, etc., can solve problems such as inability to pay attention, affecting students' learning efficiency, and limited classroom hardware equipment

Pending Publication Date: 2020-12-25
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, students are usually concentrated in the corresponding classrooms for large-scale classroom learning. Due to the limitation of classroom hardware equipment, teachers cannot effectively and accurately pay attention to each student

Method used

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  • Student classification method and system based on deep learning
  • Student classification method and system based on deep learning
  • Student classification method and system based on deep learning

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[0053]The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0054]Seefigure 1 , Is a schematic flowchart of a student classification method based on deep learning provided by an embodiment of the present invention. This deep learning-based student classification method includes the following steps:

[0055]Step S1, taking a picture of the class status of a number of students, so as to obtain corresponding students' class status images, and preprocessing the students' class status images to obtain sub-image...

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Abstract

The invention provides a student classification method and system based on deep learning, and the method and system can achieve the whole-course tracking and photographing of the class states of different students, so as to obtain the corresponding class state images of the students, and carry out the preprocessing and pixel binarization of the class state images of the students. Therefore, the pixel point plane color state change information and the direction angle change information of the sub-image corresponding to each student can be accurately calculated subsequently, and the current corresponding class performance type of the student can be determined according to the two kinds of information, so that whether the student is in a state of attending intentionally can be accurately distinguished; therefore, automatic and controllable tracking monitoring can be effectively performed on students, timely attention reminding can be performed on the students, and the learning efficiencyand the learning quality of the students can be improved.

Description

technical field [0001] The invention relates to the technical field of intelligent education, in particular to a method and system for classifying students based on deep learning. Background technique [0002] At present, students are usually concentrated in the corresponding classrooms for large-scale classroom learning. Due to the limitation of classroom hardware equipment, teachers cannot effectively and accurately pay attention to each student during the teaching process. At the same time, students cannot The whole process is in a state of concentrated listening, which will inevitably lead to other inappropriate behaviors, which will seriously affect the learning efficiency of students. It can be seen that the existing technology needs to comprehensively and effectively monitor the behavior status of each student in the classroom, so as to classify the students adaptively, so as to facilitate timely attention and reminder to the students and improve the learning efficien...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62G06Q50/20
CPCG06Q50/205G06V20/53G06V10/30G06V10/44G06V10/56G06F18/24
Inventor 崔炜
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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