FACE MASK DETECTION USING DEEP LEARNING









Abstract

A novel coronavirus is to blame for the COVID-19 epidemic. The virus is conveyed mostly through droplets when an corona infected person coughs, sneezes, or exhales. If you are in close proximity to someone who has COVID19, you can get infected by breathing in the virus or touching contaminated surfaces. Infecting 111 million individuals and killing 2.5 million people worldwide by 2020, this pandemic has become a global calamity. Wearing a mask has been made necessary in order to reduce infection rates through a stringent social distancing technique. A real-time COVID-19 face mask detector was created using the keywords. This technology can detect whether a person is wearing a mask or not by sounding an alarm. It is envisaged that our research may aid in the reduction of virus propagation in many countries.


Modules


Algorithms


Software And Hardware