| dc.description.abstract | Corona is one of the most destructive viruses that has ever produced a pandemic in human
life, not only in terms of direct victims but also in terms of the socio-economic consequences of
the virus' transmission. The 2nd anniversary of the global coronavirus pandemic passed away in
2021. However, it's still impossible to say how long the epidemic will last. After reviewing a study
by the World Health Organization on COVID-19, the country's national government urged
residents to use facemask to reduce the incidence of COVID-19 transmission. As a result of
COVID-19, there is no facemask detection apps that is in great demand for ensuring safety in
public areas.
In the context of the outbreak of COVID-19, A facemask detection model based on deep
learning and YOLOv5 may be used in real-time applications, such as surveillance cameras, that
need face-mask detection for safety reasons. We used OpenCV to recognize faces in real-time,
which we found useful. Thanks to computer vision and deep learning techniques, we aim to be able
to identify whether or not the individual in the video is wearing facemask. In order to guarantee
that public safety requirements are followed, this model may be combined with embedded systems
for use in airports, train stations, offices, and other public areas. It can also be used in the military
and companies... | en_US |
