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作 者:韩进 杨永明 崔吉凤 HAN Jin;YANG Yongming;CUI Jifeng(College of Computer Science and Engineer,Shandong University of Science and Technology,Qingdao 266590,China)
机构地区:[1]山东科技大学计算机科学与工程学院,山东青岛266590
出 处:《电子设计工程》2021年第3期123-126,131,共5页Electronic Design Engineering
摘 要:基于Triplet人脸识别算法,设计了以STM32和树莓派为核心控制器的智能门禁系统。系统分为硬件和软件两部分:硬件部分以STM32和树莓派为平台,搭载了HC-SR501红外传感器、OV7725摄像头模块、有源蜂鸣器模块、电子锁等外设,实现了自动感应拍照、报警及开锁等功能;软件部分采用socket无线通信技术,通过TCP协议使无线传输速率峰值达20 M/s,用Triplet函数对深度学习模型FaceNet进行优化后的人脸识别准确度可达99.79%。实验结果表明,所设计系统准确性、实时性及稳定性均达到了设计要求,为智能门禁系统的设计提供了一种方案,具有广阔的应用前景。An intelligent access control system has been designed based on STM32 and Raspberry Pi using Triplet face recognition algorithm.The system can be divided into hardware and software parts:the hardware part takes STM32 and Raspberry Pi as the platform,which is equipped with HC-SR501 infrared sensor,OV7725 camera module,active buzzer module and electronic lock,realizing the function of automatic induction photo taking,alarm and unlocking.The software part adopts socket wireless communication technology,and the peak of wireless transmission rate can reach 20 M/s through TCP protocol.After optimizing the deep learning model FaceNet with Triplet function,the face recognition accuracy can be improved to 99.79%.The experiment results proved that the present intelligent access control system has meet the design requirements successfully from the respect of stability,timeliness and accuracy.This study provides a scheme for the design of Intelligent access control system with a good application prospect.
关 键 词:门禁系统 TRIPLET 人脸识别 STM32 树莓派
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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