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当前位置: 首页 > 文章 > 基于Raspberry Pi和云平台的智能门禁系统研制与试验 仲恺农业工程学院学报 2020 (1) 54-60
Position: Home > Articles > Research and test of intelligent access control system based on Raspberry Pi and cloud platform Journal of Zhongkai University of Agriculture and Engineering 2020 (1) 54-60

基于Raspberry Pi和云平台的智能门禁系统研制与试验

作  者：
李超;黄伟锋;朱立学;张世昂;杨尘宇;王丹泽;郭晓耿
单  位：
仲恺农业工程学院自动化学院
关键词：
人脸识别;智能控制;步进电机;树莓派;云平台
摘  要：
基于百度云平台的人脸识别技术资源实现了一款智能门禁系统.使用人脸识别云服务平台进行实时人脸分析,不仅使用便利,而且保证了识别数据的有效性和准确性.系统还实现了基于邮件和微信的消息实时提醒功能.系统分为硬件和软件两个部分,硬件以树莓派3B+为控制核心,外接摄像头、步进电机及控制电路、触摸按键电路等模块;软件部分基于百度云平台,构建了在不同操作环境下信息管理与控制系统.通过应用场景模拟对系统进行试验,结果表明:该系统运行可靠,外接模块以及系统电路运行良好,识别准确率大于97%,电机响应平均时间为1.3 s,消息远程收发功能、信息管理与控制系统的相关功能均可正常执行,在试验过程中无异常报错.系统最终效果达到了预期目标,可为相关设计提供参考.
译  名：
Research and test of intelligent access control system based on Raspberry Pi and cloud platform
作  者：
LI Chao;HUANG Weifeng;ZHU Lixue;ZHANG Shiang;YANG Chenyu;WANG Danze;GUO Xiaogeng;College of Automation, Zhongkai University of Agriculture and Engineering;
关键词：
face recognition;;intelligent control;;stepper motor;;Raspberry Pi;;cloud platform
摘  要：
An intelligent access control system was implemented based on the face recognition technology resources of Baidu cloud platform. Using the face recognition cloud service platform for real-time face analysis, it was not only convenient to use, but also ensured the validity and accuracy of the recognition data. The system also realized the real-time message reminder function based on email and WeChat. The system was divided into two parts: hardware and software. The hardware part of the system took Raspberry Pi 3 B+ as the control core, which was connected with camera, stepping motor, control circuit, touch button circuit and other modules; The software part based on Baidu cloud platform constructed the information management and control system in different operating environments. The system was tested via the application scenario simulation, and the results show that the system ran reliably, the external modules and system circuit ran well. What's more, the recognition accuracy was greater than 97%, and the average response time of the motor was 1.3 s, the functions of message remote receive and dispatch, information management and control system were executed normally. There was no abnormal error in the test process. The final effect of the system reached the expected goal, which could provide reference for the relevant design.

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