International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 08 Issue: 06 | June 2021 www.irjet.net p-ISSN: 2395-0072
© 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1131
The Computational Approach for Human Face Mask Detection
Mr. Prateek Dutta
1
, Miss Riddhi Mandal
2
1,2
B.Tech Artificial Intelligence, G.H. Raisoni College of Engineering, Maharashtra, India
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Abstract: The whole world is suffering from SARS-CoV-2 and its very crucial time for all living beings and it’s been impacted
in almost every development sector. Since, December 2019, the coronavirus spreading throughout the world. The only
prevention to this virus is to use of face mask and sanitizer regularly. Government has mandatory the use of face mask in
public area like, shopping complex, offices, schools, colleges etc. But unconventionally few people don ’t use to take the
precautions which needed to be monitor. There are large number of population and physically monitoring of such mischief is
very difficult. In order to prevent it, this paper focus of intelligent approach for detection of face mask among human being in
public area. Deep Learning algorithm and architecture has been used over it. Convolution Neural Network (CNN) model and
ResNet 50 as architectural model has been well trained over the image dataset and achieved a measurable accuracy. Many
people lose their life due to the SARS-CoV-2 and now further, it can’t be given any chance of excuse as Face Mask detection
using CCTV camera has been allocated in several public area.
1. INTRODUCTION
The practice of wearing masks in public is growing as a result of the COVID-19 corona virus epidemic worldwide.
Before Covid-19, people used to wear a mask to protect their health from air pollution. While some people are self-
conscious about their appearance, they hide their feelings in public by hiding their faces. Scientists have confirmed that
wearing face masks is effective in preventing the transmission of COVID-19. COVID19 (also known as the corona virus) is
the latest pandemic that has plagued human life in the last century. By 2020, the rapid spread of COVID-19 has forced the
World Health Organization to declare COVID-19 a global epidemic. According to WHO, more than five million cases were
infected by COVID-19 in less than 6 months across 188 countries. The virus spreads through close contact and in crowded
and overcrowded areas [1].
Since, WHO announce COVID-19 as a pandemic, various efforts have been made to prevent the spread of virus
over the community. Use of facial mask, frequently use of sanitizer and maintain social distancing in public area can only
solution to prevent the virus into community spread. Further, government has made the rules and regulation for it, but
unconventionally some people didn’t follow it and it needed to be monitored. CCTV camera has been installed in several
public place to monitor and regular surveillance. Capturing the facial recognition and detection of object into it is quite
difficult task where Artificial Intelligence (AI) plays important role. Artificial Intelligence plays a vital role in current
modernizing world and considered to be a transformation factor. In the medical sector, Artificial Intelligence have
empowered the key strength and technology. AI has various segments as Machine learning, Deep Learning and etc which
has been classifies in below figure: 1. Deep learning is a subset of machine learning that deals with algorithms that
promote the structure and function of the brain called artificial neural networks [2].
Figure: 1, (Sub-parts of AI)