摘要
针对“新工科”背景下实验室开放的需求,提出一种基于嵌入式和OpenCV的高校实验室智能门禁系统.以树莓派开发板和人体感应模块作为硬件支持,利用OpenCV人脸Haar特征进行人脸区域检测,主成分分析PCA实现快速人脸识别.测试结果表明,该系统具有较好的实用性、实时性、便捷性和可靠性,能够应用于多数高校实验室门禁系统中.
Aiming at the demand of laboratory opening under the background of“new engineering”,an intelligent access control system based on embedded design and OpenCV for university laboratory is proposed.With the raspberry PI development board and human body sensing module as the hardware support,OpenCV face Haar features are used for face area detection,and principal component analysis(PCA)to achieve fast face recognition.The system is proved to have good real-time performance and be practical,convenient and reliable by tests.Therefore,it can be applied to most university laboratory access control systems.
作者
王钦
彭文竹
WANG Qin;PENG Wenzhu(Chengyi College,Jimei University,Xiamen 361021,China)
出处
《玉溪师范学院学报》
2022年第3期73-78,共6页
Journal of Yuxi Normal University
基金
福建省教育厅中青年教师教育科研项目(项目号:JAT191166).
关键词
高校实验室
智能门禁系统
人脸识别
OPENCV
树莓派
university laboratory
intelligent access control system
face recognition
OpenCV
Raspberry PI
