基于云计算身份识别的危化品实验室门禁系统设计

Access control system for hazardous chemicals laboratory based on cloud computing human identification

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40cm至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。

Abstract:

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 identity-oriented 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 40cm to 105cm, the identification performance of the access control system meets design requirements. An optimized distance as 70cm 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 1.82s.