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\begin{document}

\title{Face Mask Detection using Machine Learning}



\author[1]{Pornphat Sroison }%
\affil[1]{King Mongkuts University of Technology Thonburi}%


\vspace{-1em}



  
  \date{May 24, 2024}


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\begin{abstract}
The whole world today, is facing the COVID-19 pandemic. This situation
make people must adapt to the new normal, for example: work from home,
online communication, keep clean to reduce transmission of COVID-19.
Moreover, research has found that wearing a mask is one way to reduce
the risk of viral transmission. It makes many public places have a
measure about their customer must keep a distance between people and
wearing the face mask correctly. But public service providers are not
feasible to thoroughly check whether all a customer wear the mask or
not. So, in this project, we propose face mask detection via webcam
cameras using image recognition which is one of the high-accuracy and
efficient face mask detector. This proposed system consists of three
methods to detect face mask: 1) Image preprocessing 2) Face detection
and crop 3) Classification of face mask. This system can detection a
face mask, not wearing a face mask and incorrect face mask. This system
will help public service providers ensure that all people in this place
wear face mask correctly, promote people to use a face masks and it
ensure that these public places have a safe environment.%
\end{abstract}%



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