IEEE Consumer Electronics Magazine - May/June 2022 - 29

of the key measures that can help to stop the
spreading of new coronavirus. However, because
of people who do not take the precautions seriously,
quarantine subjects are needed to track regularly.
The proposed IoT-basedmonitoring system
is aimed to detect quarantine violations via deep
learning face recognition and monitor the health
condition of subjects bymeasuring their body temperature
regularly. After the pandemic, this system
can be used for educational purposes as well as for
security and control purposes.
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Fırat Aydemir is currently an Assistant Professor
with the Department of Computer Engineering, Dumlupınar
University, K€utahya, Turkey. His research
interests include embedded systems, sensor systems,
and smart IoT systems. He is the corresponding
author of this article. Contact him at firat.
aydemir@dpu.edu.tr.
Eyup Cilkaya is currently a Senior Student with the
Department of Computer Engineering, Dumlupınar
University, K€utahya, Turkey. His research interests
include IoT systems and deep learning. Contact him
at eyup.cilkaya@ogr.dpu.edu.tr.
May/June 2022
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