基于智能视觉的学生考试异常状态识别系统设计与实现作者：王盛联合签名 田江来源：《现代电子技术》2017年第干油分配器14期 摘 要： 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。 关键词： 智能视觉； 考试； MUX101防爆节能灯程控开关； 系统设计
中图分类号： TN915.5⁃34； TN710 文献标识码： A 文章编号： 1004⁃373X（2017）烤花炉14⁃0078⁃03
Abstract： In order to recognize the student′s examination abnormal status under com
puter intelligent vision and improve the invigilation intelligent level， an embedded Linux driving and MUX101 programmable switching control based design method of students examination abnormal condition recognition system is proposed. The overall design of the system was constructed on the basis of intelligent vision. The hardware design of the system includes the design of video collection module， kernel control module， man⁃machine interaction module，圆极化天线>弱电工程布线 etc. The software design is based on the embedded Linux driver kernel， in which the ARM addressing technology is used to perform the bus scheduling of video information of student′s examination abnormal status. The MUX101 programmable 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.
