新冠肺炎疫情期间公共场所智能出入口的技术驱动

Moo Chi Yuen, Muhammad Ehsan Rana, Kamalanathan Shanmugam, Raed M. T. Abdulla
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引用次数: 0

摘要

本研究提出了一种应对新冠肺炎疫情的公共场所智能入口系统。该系统可以帮助自动执行检查的标准操作程序(sop)。本文重点探讨新冠肺炎公共场所标准操作规程的相关问题脉络。技术研究涉及热像仪、指纹识别、人脸识别、虹膜识别、目标检测和云计算。这些技术可以集成在一起,以提供更通用、更有效的解决方案。当代研究人员提出的技术解决方案也通过调查其优点和缺点进行批判性分析。
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Technology-Driven Implementation of Smart Entrances in Public Places During the COVID-19
This research proposes a smart entrance system to cope with the COVID-19 pandemic in public places. The system can help automate standard operating procedures (SOPs) for checking. The paper focuses on exploring the problem context related to the COVID-19 SOPs for public places. The research on technologies involves using thermal cameras, fingerprint recognition, face recognition, iris recognition, object detection and cloud computing. These technologies can be integrated to provide a more versatile and effective solution. The technological solutions proposed by contemporary researchers are also critically analysed by investigating their advantages and disadvantages.
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