基于MM32F5270微控制单元的智慧门禁系统设计  

Intelligent Access Control System Design Based on MM32F5270 Micro Control Unit

作　　者：林博涵 程仪 朱立超 谢迎娟[1] LIN Bohan;CHENG Yi;ZHU Lichao;XIE Yingjuan(School of Information Science and Engineering,Hohai University,Changzhou 213000,China)

机构地区：[1]河海大学信息科学与工程学院,江苏常州213000

出　　处：《计算机测量与控制》2024年第8期272-279,共8页Computer Measurement &Control

基　　金：国家自然科学基金(61573128);教育部产学合作协同育人项目(220803494162012,220603632072407);大学生创新创业训练计划项目(202310294048Z);河海大学创新性实验项目(河海教务[2022]49号)。

摘　　要：传统门禁系统存在钥匙易被伪造、解锁方式单一、难以对门禁区域进行实时监控和数据分析等一系列安全性、体验性问题;结合物联网技术,以灵动微电子MM32F5270开发板作为主控,设计了一套安全性高、智能化高、可联网的智慧门禁系统;系统以MindSDK和MircoPython为开发平台,由摄像头模块采集图像数据,并交由MM32F5270处理后,通过WIFI模块传输数据到服务器;根据接收到的图像数据结合LBP算法获取人脸特征点数据,并将其输入至卷积神经网络以实现人脸检测的目标;实验结果表明,该智慧门禁系统能有效解决安全性差、数据管理难和无法实时监控等问题,提高了用户体验和系统可靠性。Traditional access control systems have a series of security and experiential issues,such as easy key forgery,single unlocking method,and difficulty in real-time monitoring and data analysis of access control areas.Combining IoT technology,a smart access control system with high security,intelligence,and networking capabilities was designed using the Smart Microelectronics MM32F5270 development board as the main controller;The system is developed using MindSDK and MircoPython as platforms.Image data is collected by the camera module and processed by MM32F5270.The data is then transmitted to the server through the WIFI module.Obtain facial feature point data based on the received image data combined with the LBP algorithm.And input it into the convolutional neural network to achieve the purpose of face detection.The experimental results show that the smart access control system can effectively solve problems such as poor security,difficult data management,and inability to monitor in real time,improving user experience and system reliability.

关 键 词：智慧门禁 IOT TCP透传 MM32F5270 OpenMV LBP算法 

分 类 号：TP277.2[自动化与计算机技术—检测技术与自动化装置]