M. Rizk
{"title":"Smart autonomous thermometer system to assist COVID-19 pandemic monitoring in smart campuses","authors":"M. Rizk","doi":"10.1049/icp.2021.0944","DOIUrl":null,"url":null,"abstract":"COVID-19 pandemic has impacted human lives from different aspects during the last months. The number of recorder cases is increasingly growing. The infection rate spikes due to unprotected contact with people with fever or respiratory symptoms. Fever is one of the common symptoms of corona virus infection. Thus, measuring the body temperature and tracing its change is an important indicator. It is a recommended practice to inspect suspected cases. For campuses with big number of residents and visitors, monitoring the temperature arises a new challenge as it requires huge number of trained medical staff and imposes the direct contact between the medical staff and the person under test. Also, this practice requires the direct contact between the medical staff and the person under test, which may cause the transmission of the virus. In this paper a non-contact autonomous smart thermometer system is proposed. The thermometer measures forehead temperature remotely, without the need for human operation. The system indicates the person identity and records the measured temperature enabling the tracing of temperature of engaged persons and further analysis of gathered data. In this paper, the system architecture and the implementation of the proposed system is described. Testing and verification processes demonstrate its effectiveness and feasibility. © 2020 Institution of Engineering and Technology. All rights reserved.","PeriodicalId":165539,"journal":{"name":"3rd Smart Cities Symposium (SCS 2020)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd Smart Cities Symposium (SCS 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/icp.2021.0944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
智能自主体温计系统助力智慧校园新冠疫情监测
在过去的几个月里,COVID-19大流行从不同方面影响了人类的生活。录音机案件的数量越来越多。由于与有发烧或呼吸道症状的人无保护接触,感染率会飙升。发烧是冠状病毒感染的常见症状之一。因此,测量体温并追踪其变化是一个重要的指标。建议对疑似病例进行检查。对于有大量居民和访客的校园来说,温度监测是一个新的挑战,因为它需要大量训练有素的医务人员,并要求医务人员与被测者直接接触。此外,这种做法需要医务人员与接受检测的人直接接触,这可能导致病毒的传播。本文提出了一种非接触式自主智能体温计系统。该温度计可远程测量额头温度,无需人工操作。该系统显示人员身份并记录测量温度,从而可以跟踪参与人员的温度并进一步分析收集到的数据。本文介绍了该系统的体系结构和实现方法。测试和验证过程证明了其有效性和可行性。©2020工程技术研究院。版权所有。
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