Autonomous Temperature scan system using IoT to detect COVID-19 symptom
2021 International Conference on Forensics, Analytics, Big Data, Security, FABS 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1784482
ABSTRACT
The current situation of pandemic demands utmost care of health for every individual, rapid spread of SARS-CoV-2 needs regular temperature check-ups as one of the means of identifying the disease. The design of a low cost and efficient system to automate the human temperature sensing using IoT is presented in this paper. This system can be used in most of the places where temperature check ups are to be done and still using the manual check-up tools hence easing the way of checking the temperature. The system mainly consists of two subsystems. One subsystem that determines the temperature value (TS) and the other that triggers the temperature sensor (PS). The PS uses a proximity sensor that senses whether the person is near the temperature sensor and triggers the TS to sense the temperature of individual standing in front of it. The system can be mounted on any simple mirror that enables the individuals to align their head correctly with the temperature sensor and hence it can be used anywhere. To govern the behavior of the sensors we use a microcontroller (Node MCU). In this proposed method we are developing a cost-effective solution to detect the temperature of the individual without human resources installed in the place. The system can be used in various places such as Schools and colleges, public places, hospitals and many more. © 2021 IEEE.
automate; COVID-19; IoT (Internet of Things); IR Proximity sensor (PS); Node MCU; sensing; Cost effectiveness; Diseases; Microcontrollers; Temperature sensors; Current situation; Human temperature; Internet of thing; IR proximity sensor; Low-costs; Temperature scans; Temperature sensing; Internet of things
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Conference on Forensics, Analytics, Big Data, Security, FABS 2021
Year:
2021
Document Type:
Article
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