基于智能视觉的学生考试异常状态识别系统设计与实现

Design and implementation of intelligent vision based recognition system for student′s examination abnormal status

在计算机智能视觉下进行学生考试异常状态识别,提高监考的智能化水平,提出一种基于嵌入式Linux驱动和MUX101程控开关控制的学生考试异常状态识别系统设计方法。在智能视觉下进行系统的总体设计构架。系统的硬件设计部分主要包括视频采集模块、核心控制模块和人机交互模块等。软件设计建立在嵌入式Linux驱动内核下,采用ARM寻址技术进行学生考试异常状态的视频信息的总线调度。设计MUX101程控开关进行异常状态的报警控制。最后进行系统调试,测试结果表明,该系统具有较好的可靠性和实用性。

In order to recognize the student′s examination abnormal status under computer intelligent vision and improvethe invigilation intelligent level,an embedded Linux driving and MUX101programmable switching control based design methodof students examination abnormal condition recognition system is proposed.The overall design of the system was constructed onthe basis of intelligent vision.The hardware design of the system includes the design of video collection module,kernel controlmodule,manmachine interaction module,etc.The software design is based on the embedded Linux driver kernel,in which theARM addressing technology is used to perform the bus scheduling of video information of student′s examination abnormal status.The MUX101programmable switch was designed to alarm and control the abnormal status.The system was debugged.The test results show that the system has perfect reliability and practicability.