TY - JOUR
T1 - Portable IoT Body Temperature Screening System to Combat the Adverse Effects of COVID-19
AU - Gsangaya, Kisheen Rao
AU - Hajjaj, Sami Salama Hussen
AU - Sultan, Mohamed Thariq Hameed
AU - Shahar, Farah Syazwani
AU - Shah, Ain Umaira Md
N1 - Funding Information:
This research was funded by the BOLD Refresh Fund, UNITEN, Project ID: J510050002-2021097. The APC was funded by Ministry of Higher Education, Malaysia, through the Fundamental Research Grant Scheme FGRS/1/2019/STG07/UPM/02/2, grant number 5540320. The authors would like to thank the Innovation & Research Management Centre (iRMC), the Institute of Informatics and Computing in Energy (IICE), UNITEN, Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia and Laboratory of Bio-composite Technology, Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia (HICOE) for their continued support of this work and the activities that led to its development.
Funding Information:
Funding: This research was funded by the BOLD Refresh Fund, UNITEN, Project ID: J510050002-2021097. The APC was funded by Ministry of Higher Education, Malaysia, through the Fundamental Research Grant Scheme FGRS/1/2019/STG07/UPM/02/2, grant number 5540320.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - 3D printing
KW - body temperature screening
KW - COVID-19
KW - internet of things
UR - http://www.scopus.com/inward/record.url?scp=85129531578&partnerID=8YFLogxK
U2 - 10.3390/jsan11020022
DO - 10.3390/jsan11020022
M3 - Article
AN - SCOPUS:85129531578
SN - 2224-2708
VL - 11
JO - Journal of Sensor and Actuator Networks
JF - Journal of Sensor and Actuator Networks
IS - 2
M1 - 22
ER -