Medical Mask Detection using advanced MobileNetV2

According to data from the World Health Organization (WHO), personal contact and respiratory droplets are the two main ways that the COVID-19 virus is spread. One of the prophylactic strategies that can stop the spread of COVID-19 and other respiratory viral illnesses is wearing a surgical mask. The...

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Published inThe ... CSI International Symposium on Artificial Intelligence & Signal Processing (Online) pp. 1 - 4
Main Authors Mandal, Gouranga, Bandaru, Lokesh, Jaka, Prasanth, Beeram, Nithin
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.03.2023
Subjects
COVID-19
COVID19
Deep Learning
Face Mask
Face recognition
Keras
MobileNetV2
Organizations
Streaming media
Surgery
Systems architecture
TensorFlow
Training
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Summary:According to data from the World Health Organization (WHO), personal contact and respiratory droplets are the two main ways that the COVID-19 virus is spread. One of the prophylactic strategies that can stop the spread of COVID-19 and other respiratory viral illnesses is wearing a surgical mask. Therefore, it is essential to correctly wear a mark in public settings like supermarkets and shopping centers. In this study, we suggest a Face Mask Detection system to determine whether or not someone is correctly donning a mask. Face mask identification in video streams has only been the subject of a few studies. It uses OpenCV, TensorFlow-Keras, MobileNetV2, and Deep Learning to recognize face masks in a two-phase design and achieved an excellent accuracy.
ISSN:2640-5768
DOI:10.1109/AISP57993.2023.10134858