Student behavior remote monitoring method and system

A remote monitoring system and remote monitoring technology, applied in closed-circuit television systems, biometric identification, character and pattern recognition, etc., can solve the problem of inability to effectively and accurately identify subtle abnormal behaviors of students, browsing omissions, and impact on student behavior monitoring Issues of automaticity, reliability and accuracy

Pending Publication Date: 2021-01-08
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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AI Technical Summary

Problems solved by technology

The above-mentioned behavior monitoring method not only needs to consume a lot of manpower and material resources to browse and filter the massive video data, but also it is easy to miss the browsing through manual browsing and filtering. In addition, the above-mentioned behavior monitoring method cannot effectively and accurately identify Subtle abnormal behaviors made by students can seriously affect the automation, reliability and accuracy of student behavior monitoring

Method used

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  • Student behavior remote monitoring method and system
  • Student behavior remote monitoring method and system
  • Student behavior remote monitoring method and system

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0055] refer to figure 1 , is a schematic flowchart of a method for remotely monitoring student behavior provided by an embodiment of the present invention. The student behavior remote monitoring method comprises the following steps:

[0056] Step S1, photographing the student to obtain a video of the student within a preset time period, and performing image extraction processing on the video to obtain several images;

[0057] Step S2, after preprocessing several...

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Abstract

The invention provides a student behavior remote monitoring method and system. The method comprises the following steps: carrying out the video shooting of students, extracting a plurality of corresponding images, and determine a corresponding target image pair according to the pixel correlation information of two adjacent images after preprocessing, finally, judging whether the behavior of the student is normal or not according to the image similarity between the two images contained in the target image pair, and making a corresponding warning operation, so that the shot images can be subjected to refined analysis from the pixel level, the behavior state of the student in the class process can be comprehensively, automatically and accurately remotely monitored, and therefore, various different types of abnormal behaviors made by students can be effectively discriminated.

Description

technical field [0001] The invention relates to the technical field of intelligent education, in particular to a method and system for remote monitoring of student behavior. Background technique [0002] At present, the behavior monitoring of students during class is usually realized by tracking and shooting students. Specifically, by shooting class videos about students, and manually browsing and filtering the class videos frame by frame to judge students' progress in class Is there any abnormal behavior in . but. The above-mentioned behavior monitoring method not only needs to consume a lot of manpower and material resources to browse and filter the massive video data, but also it is easy to miss the browsing through manual browsing and filtering. In addition, the above-mentioned behavior monitoring method cannot effectively and accurately identify Subtle abnormal behaviors made by students can be detected, which seriously affects the automation, reliability and accuracy...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/62H04N7/18
CPCH04N7/18G06V40/10G06V20/52G06V10/30G06F18/22G06F18/24
Inventor 樊星
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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