Abstract

According to a report published by the World Health Organization (WHO), the only two primary ways in which the COVID-19 virus can be spread are through breathing contaminated air and through direct physical contact. Wearing a mask is one of the bare minimum preventative measures that can be taken against the transmission of certain viral infections, including COVID-19. Therefore, it is much more important to wear a mask properly in very crowded areas such as public parks, supermarkets, and shopping malls. This is because the risk of spreading an infectious disease is significantly higher in these settings. Face Mask Detection is a technique that we developed so that we could avoid problems like these. It can determine whether or not a person is wearing a mask on their face. There have only been a handful of scant studies done on face mask detection.

Keywords:
Face masks Face (sociological concept) Computer science Face detection Coronavirus disease 2019 (COVID-19) Transmission (telecommunications) Support vector machine Computer vision Artificial intelligence Breathing Facial recognition system Risk analysis (engineering) Computer security Feature extraction Infectious disease (medical specialty) Medicine Telecommunications Disease

Metrics

2
Cited By
0.36
FWCI (Field Weighted Citation Impact)
10
Refs
0.51
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
COVID-19 diagnosis using AI
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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