Realization of Intelligent Invigilation System Based on Adaptive Threshold

Abstract

In order to reduce the labor cost of invigilation, improve invigilation efficiency and deal with violations in real time, this paper designs and implements an intelligent invigilation system from two aspects of hardware and software. The system on the basis of the standardized test in video monitoring system, aiming at solving the problem that the traditional EM algorithm is sensitive to initial value, this paper puts forward an improved method to make supervised learning image and human body’s contour recognition, to extract and analyse the scene of the abnormal information feature, and use adaptive threshold algorithm to improve the accuracy of the automatic alarm. these technology make the monitor platform be able to find abnormal information, and timely feed them back to the On-site invigilators. Finally, it can realize intelligent invigilation, improve the precision of supervision system, and has promotion value.