Examination room monitoring data processing method and automatic monitoring system thereof

Abstract

The invention provides an examination room monitoring data processing method and an automatic monitoring system thereof. The system comprises a monitoring terminal module, a server module, and a video data preprocessing module used for sampling video monitoring pictures obtained by the monitoring terminal module, preprocessing sampled images and dividing seat areas; an identification and alarm module used for identifying violation motion in the seat areas, marking the level of violation motion when motion exceeding a preset threshold is identified, sending the level and a data packet associated with the violation motion to a server, and meanwhile sending seat area information involved by the violation motion to a monitoring platform; and the monitoring platform used for displaying monitoring frames, highlighting a violation seat area according to the information sent by the identification and alarm module. The method can identify violation motion with a fast speed and high recognition rate; the automatic monitoring system facilitates observation by monitoring platform personnel, and on-site personnel rapid communication.

Description

Technical field [0001] The invention relates to a method and system for monitoring character actions and behaviors in a fixed scene, in particular to an examination room monitoring data processing method applied in an examination room and an automatic invigilation system realized by it. Background technique [0002] With the continuous development of technology in the field of video recognition, the application of video surveillance in the proctoring environment has now become an important application direction in the field of video recognition to reduce the manpower consumption and improve the overall and accuracy of the proctor. [0003] However, in the prior art, there is no invigilation system that has a simple structure, low resource consumption, and at the same time can accurately judge the behavior of the invigilator. Existing technologies often still use one-to-one video surveillance methods commonly used in paperless examinations. This method not only requires a large numb...

AI Technical Summary

Problems solved by technology

[0003] However, in the prior art, there is no invigilation system with a simple structure, low resource consumption, and the ability to accurately judge the behavior of invigilators

The existing technology often still adopts the one-to-one video monitoring method commonly used in paperless examinations, but this method requires a large number of terminal equipment, and cannot fully monitor the examinee's actions, and also brings to the examinee A greater psychological burden is not conducive to the normal performance of candidates

[0004] In addition, in the patent application with the application number CN201110135345.4, for example, by dividing the examination room into the invigilation area, the fixed area of ​​the examination area and the activity area, and according to the area where the abnormal situation occurs, it is decided whether to alarm or Reminder processing, and this technical solution is only an improvement in area division, but does not propose any substantive solutions for whether it can accurately judge abnormal behaviors and reduce misjudgments

In the patent application whose application number is CN201010537314.7, it judges whether an abnormal situation occurs through the panoramic monitoring in the monitoring screen, and sets different levels and corresponding processing methods for the abnormal situation in advance, so that when the monitoring occurs In the event of an abnormal situation, corresponding processing can be carried out on the server side. However, the application does not give how to judge the level of different abnormal situations, and how to automatically judge the situation based on the video image. It does not give any instructions for these core links. Technical Improvement Program

[0005] The above-mentioned existing technologies all have the defects of not having a good method for judging the subtle movements of the examination room, and the problems of large resource consumption, and have failed to propose a better method for automatically invigilating the examination

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