Computer vision learning pays off attention due to the global epidemic COVID-19 to improve public safety. Since 2019
there has been a huge human loss cause of COVID-19 and the world is at risk. When it comes to human safety technology has
always played a pivotal role to protect earth and its humanity from various calamities. In this era of COVID-19, Wearing masks
is a very important thing for further transmission of this deadly virus from one person to another. But many of us are avoiding
wearing masks in public places, to overcome this issue we have developed face mask detection software that detects if a person is
wearing mask or not. Installing this software module in public places, in work environment and at various crowded areas will
ease the surveillance of face detection than manual surveillance by man power.
Deep neural networks have always shown highly successful results when it comesto object detection.
MOBILENETV2 is one such perfect model to be used in facemask detection.
