基于树莓派的图书馆门禁系统  

Library Access Control System Based on RPi

作　　者：黄煜真 元泽怀 陈嘉瑞 林炜槿 HUANG Yuzhen;YUAN Zehuai;CHEN Jiarui;LIN Weijin(School of Electronic and Electrical Engineering,Zhaoqing University,Zhaoqing,Guangdong Province,526061 China)

机构地区：[1]肇庆学院电子与电气工程学院,广东肇庆526061

出　　处：《科技创新导报》2022年第28期144-147,共4页Science and Technology Innovation Herald

基　　金：国家级大学生创新创业训练项目,项目名称:图书馆自习室智能订位与现场刷脸认证系统开发(项目编号:202010580012)。

摘　　要：本文研究运用卷积神经网络实现人脸识别,以实现图书馆的智能门禁系统。系统实现采集人脸数据,搭建人脸库,通过硬件设备树莓派进行图像采集和图像处理,采集的图像经过处理后送入已训练的模型,进行人脸识别。单片机进行设备控制,单片机根据识别的结果控制门禁的开闭。经过测试,此系统能很好地完成预期的功能,实现图书馆门禁的智能化。This paper studies the application of convolutional neural network to realize face recognition in order to realize the intelligent access control system of library.The system collects face data to build a face database.The Raspberry Pi(RPi)is used for image acquisition and image processing.The collected images are processed and sent to the trained model for face recognition.The SCM controls the equipment,and controls the opening and closing of the access control according to the identification results.After testing,the system can well complete the expected functions and realize the intellectualization of library access control.

关 键 词：人脸识别 树莓派 卷积神经网络 OpenCV-Python 

分 类 号：G250.7[文化科学—图书馆学] TP391.41[自动化与计算机技术—计算机应用技术]