Identifying Face Masks with OpenCv and Deep Learning

Abstract

During the course of this epidemic, the Corona virus had a significant influence not only regular lives but also on international business. Protecting one’s appearance has recently emerged as a widespread fashion trend and can now be considered the norm. In the present day or in the future, a large number of individuals will be obliged to wear masks in order to protect not only themselves but also the people around as well as the surrounding area. Face recognition has emerged as an increasingly vital tool in the fight against global terrorism. As part of this work, we are developing an AI system that will be able to determine whether or not a person is concealing their identity by wearing a mask. It will be of assistance to us in preventing the virus from spreading across the environment. In order to construct this work, we require the assistance of Machine Learning (ML), deep learning (DL), and Neural Network (NN), all of which will assist us in realizing the purpose of this work. We needed jupyter notebook in order to complete this work, and we also needed to install numpy, opencv, tensorflow, and numpy as well as a learning tool. This strategy will assist us in identifying the individual who is concealing their identity by wearing a mask in the imageand in real life picture. Additionally, it is able to recognize and distinguish a moving mask or face.