Open AccessDesign of intelligent invigilator system based on artificial vision
Author(s) -
Bin Yan,
Mei Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/4/042054
Subject(s) - computer science , frame (networking) , coding (social sciences) , process (computing) , frame rate , interface (matter) , circuit design , software , network packet , embedded system , computer hardware , machine vision , systems design , real time computing , artificial intelligence , telecommunications , computer network , statistics , mathematics , bubble , parallel computing , programming language , operating system , software engineering , maximum bubble pressure method
Aiming at the problems of high packet loss rate and low intelligent degree in the current video monitoring system for examination invigilation, an intelligent invigilator system design method based on artificial vision is proposed in this paper. The system design is divided into hardware and software parts, including a / D circuit, clock circuit, video frame cyclic error correction and coding circuit, program loading circuit and output interface circuit. The experimental results show that the system can effectively reduce the video packet loss in the process of invigilation, improve the visual coverage of the invigilator area, and the system is highly integrated and intelligent.