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Examination cheating behavior recognition algorithm based on surface length-width ratio analysis

A recognition algorithm and ministerial technology, applied in character and pattern recognition, computing, computer components, etc., can solve problems such as unhandled answers, and achieve the effect of easy technology and rigorous discrimination

Inactive Publication Date: 2020-12-18
HANGZHOU JINGYI INTELLIGENT SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because homework and test papers cannot be limited to multiple-choice questions and fill-in-the-blank questions, although there are standard answers, the correct answer is not limited to this. Even if the computer can recognize written characters, it cannot handle a variety of answers

Method used

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  • Examination cheating behavior recognition algorithm based on surface length-width ratio analysis
  • Examination cheating behavior recognition algorithm based on surface length-width ratio analysis

Examples

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Embodiment Construction

[0014] Now in conjunction with accompanying drawing, the present invention will be further described:

[0015] refer to figure 1 , an examination cheating behavior recognition algorithm based on facial aspect ratio analysis, including a bracket 2 installed on each desk 1, and the bracket 2 is installed on the frontmost end of the desk 1, so that it will not affect the test the normal answer of the respondent. A camera 4 and an LED light 3 are installed on the bracket 2 , and a processor is arranged inside the bracket 2 to connect with the camera 4 and the LED light 3 . It also includes a network module connected to the processor and a remote management server.

[0016] Described video camera 4 is used for gathering the facial image of examinee, and described LED light 3 reminds examinee to observe discipline in the examination room in the mode of flickering, and described processor establishes data with described management server through described network module. link.

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PUM

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Abstract

The invention relates to an exam cheating behavior identification algorithm based on surface length-width ratio analysis. The algorithm comprises a bracket installed on each desk, a camera and an LEDlamp installed on each bracket, a processor is arranged in each bracket and is connected with the camera and the LED lamp; the algorithm also comprises a network module connected with each processor,each processor establishes a data link with a remote management server through the corresponding network module, and each processor sets an examination cheating behavior recognition algorithm. The method comprises the following steps: S1, collecting a face image fi (x, y) of a testee; S2, extracting a face rectangular region from the face image fi (x, y); S3, calculating the width w of the rectangular area of the human face, wherein w=xcR-xcL; calculating the length of the rectangular area of the human face, wherein l=ycR-ycL; S4, calculating the length-width ratio r of the rectangular area ofthe human face; S5, when r is larger than K and the face faces the left side or the right side, judging that the testee is likely to be in a cheating state, wherein K is a judgment threshold value.

Description

technical field [0001] The invention relates to an examination cheating behavior recognition algorithm based on facial aspect ratio analysis, and belongs to the technical field of image-based pattern recognition. Background technique [0002] In the education industry, teachers have always undertaken heavy front-line work. All kinds of office automation software and facilities do not reduce the workload of teachers, but facilitate the collection of information, which is effective for teaching management. The teacher's work mainly includes: First of all, teaching in the classroom. At present, offline teachers are still teaching on-site. During the COVID-19 epidemic, although online teaching kept the teaching going, the actual teaching effect was compromised. Secondly, it is a large number of homework corrections and test paper corrections. Because homework and test papers cannot be limited to multiple-choice questions and fill-in-the-blank questions, although there are sta...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/168
Inventor 不公告发明人
Owner HANGZHOU JINGYI INTELLIGENT SCI & TECH
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