Masked Face for Secure Authentication

Abstract

To protect ourselves from infectious diseases brought on by viruses, we must now wear masks. The COVID-19 virus has caused a pandemic crisis for mankind now. It makes life worse for all living creatures, especially humans. The entire world seemed to be stuck in its routine. Due to the lack of direct lessons, the educational institutions are most impacted by this pandemic situation. They are willing to conduct classes under certain conditions, such as social distance, mask wear, and hand sanitization, in order to prevent this scenario. We have decided that wearing a mask is more significant than the other two factors. With the aid of a deep learning network, we are offering a way to determine whether pupils in a classroom have donned masks to protect them from illness. Deep learning is a development in machine learning that produces results that are more accurate than those of traditional machine learning algorithms. We discuss the effectiveness of our deep learning-based face mask identification system. The kids' faces are recognised on the live classroom footage during analysis in order to identify those who are not wearing masks and to generate their names. In this essay, we will concentrate on college students who don't wear masks and are photographed. Then the fine will be automatically applied to that specific person.