Abstract:
Face Mask Detection is currently a hot topic that has piqued the interest of researchers all over the
world. Today, the entire world is dealing with the COVID-19 pandemic. To control the spread of
the Corona virus, people are taking a variety of measures. There are numerous critical measures
required to combat COVID-19, one of the most important of which is the use of a face mask. There
is still a lot of research and study being done on COVID-19. Several studies have also shown that
wearing a face mask significantly reduces the problem of viral transmission. In addition, a person
wearing a face mask perceives a sense of protection. When we are at home, we take care of
everything, but when we are in public places such as offices, malls, and colleges, it becomes more
difficult to keep people safe. Machine Learning and Data Mining are a collection of technologies
that provide effective solutions to complex problems in a variety of fields. We attempted to develop
a face mask recognition system using machine learning in order to prevent the spread of the Corona
virus. This is a good system for detecting a face mask in newspaper and news channel images and
videos. It can recognize both Mask and No Mask faces. With the advancement of this system, it
will be possible to detect whether or not a person is wearing a face mask. If the person is not
wearing a face mask, it will display a message such as "No Mask," otherwise it will display "Mask
Detected."
