Real-time Face Mask Detection and Contactless Body Temperature Measurement on Edge Device Using Deep Learning
4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
; : 1111-1116, 2022.
Article
in English
| Scopus | ID: covidwho-2297032
ABSTRACT
The world is severely affected by COVID-19 disease and it has became a threat to everyone. One of the effective methods to prevent infection of this disease is to wear a face mask in public places. The body temperature of a person is an important indicator of COVID-19 infection. Many public places or services give entry to the people only if they wear a mask and have body temperature in a normal range. In areas like college labs, internet cafes and malls, they keep a daily log of visiting persons with details such as name, date, body temperature etc. In this work, a system is proposed that can be utilized to remind people to wear a face mask and monitor them. It can also measure body temperature using an IR temperature sensor and alert respective authorities if it is high. In the proposed system, convolutional neural network MobileNetV2 is used for face mask detection deployed on NVIDIA Jetson Nano. © 2022 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022
Year:
2022
Document Type:
Article
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