基于云计算身份识别的危化品实验室门禁系统设计  

Design of Access Control System for Hazardous Chemicals Laboratory Based on Cloud Computing Identity

作　　者：何雨健 张良力[1,2] 张家财 刘江 He Yujian;Zhang Liangli;Zhang Jiacai;Liu Jiang(School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;School of Artificial Intelligence,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学信息科学与工程学院,武汉430081 [2]武汉科技大学人工智能学院,武汉430081

出　　处：《计算机测量与控制》2020年第7期188-191,198,共5页Computer Measurement &Control

基　　金：武汉科技大学教学研究项目(2017Z023)。

摘　　要：利用云计算平台实现人员身份识别及其进出信息记录,是提高危化品实验室门禁系统安全性的有效技术手段;在分析面向身份识别的云计算平台应用框架的基础上,设计了危化品实验室门禁系统,包括硬件模块和后台管理等;描述了系统软件开发流程,包括:云计算平台接入、人脸图像检测及调用、身份识别与门禁控制参数设置;当被试人员与摄像头之间的距离为40~105cm时,门禁系统身份识别性能满足设计要求,选取最佳测试距离70cm进行全天候测试,测得系统身份识别准确率大于85%,响应时间少于1.82s。The use of cloud computing platforms to realize personnel identification and access information records is an effective technical means to improve the security of access control systems in hazardous chemical laboratories.Based on the analysis of the identityoriented cloud computing platform application framework,a hazardous chemicals laboratory access control system is designed,including hardware modules and background management.Describes the system software development process,including:cloud computing platform access,face image detection and invocation,identification and access control parameter settings.When the distance between an experimenter and the camera in the system is 40~105 cm,the identification performance of the access control system meets design requirements.An optimized distance as 70 cm is selected for the all-day testing to the system,and it’s found that the accuracy rate of identification is greater than 85% and the response time is less than 1.82 s.

关 键 词：云计算 身份识别 危化品实验室 门禁系统 人脸图像检测 

分 类 号：G647[文化科学—高等教育学] TP393.4[文化科学—教育学]