基于物联网的防COVID - 19传播智能筛查系统

Rachit Thukral, Manasi Mishra
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引用次数: 1

摘要

新冠肺炎疫情造成大量安全问题和人员伤亡。为了有效防止新冠肺炎的传播,佩戴口罩和非接触式热扫描已成为强制性要求。在这种情况下,传统的访客筛选和温度测量方法已经不适合避免任何接触。传统的人脸识别技术也因为戴口罩会遮挡部分脸部而效果不佳。本文提出了一种基于智能物联网的筛选系统,能够进行非接触式热扫描、掩模检测和掩模人脸识别。不遵守新冠肺炎指导方针的人将被拒绝进入酒店。该系统使用基于深度学习的技术,通过丢弃被屏蔽区域进行被屏蔽人脸识别。采集到的数据通过自定义协议栈发送到云端,轻量级、可靠、高效的数据通信。通过web应用程序和移动应用程序,可以利用互联网远程监控每个用户对应的数据。收集到的数据可以共享给医疗机构进行进一步分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An IoT Based Intelligent Screening System for Preventing COVID 19 Spread in Premises
The outbreak of COVID-19 led to huge number of security issues and casualties. In order to effectively prevent the spread of COVID-19, wearing mask and contactless thermal scanning has become mandatory. The conventional methods for visitor screening and temperature measurement have become inappropriate in this situation to avoid any contact. The traditional face recognition techniques are also ineffective as wearing mask hides some parts of the face. This paper presents an Intelligent IoT based screening system capable of contactless thermal scanning, mask detection and masked face recognition. The person not following the Covid-19 guidelines will be denied the access inside the premise. The system uses deep-learning based techniques for masked face recognition by discarding masked region. The data collected has been sent to the cloud using custom protocol stack which is lightweight, reliable and efficient for data communication. Using web application and mobile application, the data corresponding to each user can be monitored remotely using internet. The data collected can be shared to healthcare agencies for further analysis.
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