Portable IoT Body Temperature Screening System to Combat the Adverse Effects of COVID-19

In managing the COVID-19 pandemic, the Malaysian government enforced mandatory body temperature screening as a rudimentary form of infection detection at the entry points of establishments and public transportation. However, previous iterations of IoT body temperature screening systems were bulky, f...

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Published inJournal of sensor and actuator networks Vol. 11; no. 2; p. 22
Main Authors Gsangaya, Kisheen Rao, Hajjaj, Sami Salama Hussen, Sultan, Mohamed Thariq Hameed, Shahar, Farah Syazwani, Shah, Ain Umaira Md
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2022
Subjects
3D printing
Body temperature
body temperature screening
Coronaviruses
Costs
COVID-19
Data storage
Disease transmission
Fever
High temperature
Infections
Information retrieval
Internet of Things
Pandemics
Portability
Public transportation
Remote monitoring
Sensors
Servers
Severe acute respiratory syndrome coronavirus 2
Temperature sensors
Malaysia
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Summary:In managing the COVID-19 pandemic, the Malaysian government enforced mandatory body temperature screening as a rudimentary form of infection detection at the entry points of establishments and public transportation. However, previous iterations of IoT body temperature screening systems were bulky, fragile, expensive, and designed for personal use instead of the screening of many people. Therefore, a standalone, portable, and rugged IoT-enabled body temperature screening system for detecting elevated temperatures was developed in this research work. This system uses a proximity sensor to detect subjects and determine their body temperature using a non-contact temperature sensor. Body temperature data is displayed on the device and uploaded over a Wi-Fi network to a cloud server for data storage and analysis. From the cloud server, body temperature information is retrieved and displayed on the Blynk IoT client dashboard for remote monitoring. The device also provides alerts for body temperatures above 37.5 °C. The prototype system performed impressively during the assessment. Body temperature readings were impressively accurate compared to a medical-grade non-contact thermometer, with an average variance of less than 1%. Additionally, the system was highly reliable, with a 100% IoT data broadcast success rate.
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ISSN:2224-2708
2224-2708
DOI:10.3390/jsan11020022