Abstract:
According to data obtained by the World Health Organization, the global pandemic of
COVID-19 has severely impacted the world and has now infected more than eight
million people worldwide. Wearing face masks and following safe social distancing
are two of the enhanced safety protocols that need to be followed in public places to
prevent the spread of the virus. This system would be very useful in a shopping mall
and restaurants where a special person is hired for this task.
To create a safe environment that contributes to public safety, we propose an
efficient computer vision-based approach focused on the real-time automated
monitoring of people to detect both safe social distancing and face masks in public
places. In this proposed system modern deep learning algorithms are applied. This
system is developed in python language.
