Face Mask Detection Analysis for Covid19 Using CNN and Deep Learning

The planet was severely affected by Coronavirus Disease 2019. The wearing of masks in public places is a big way of protecting people. In addition, many providers of public service only require consumers to wear masks correctly. However, only a few studies are focused on image analysis on face mask detection. I propose in this paper, a high-precision and effective mask detector for Mask Detection Method. Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real-world, when a person is uncooperative with the systems such as in video surveillance then masking is further common scenarios. For these masks, current face recognition performance degrades. An abundant number of researches work has been performed for recognizing faces under different conditions like changing pose or illumination, degraded images, etc. Still, difficulties created by masks are usually disregarded. The primary concern to this work is about facial masks, and especially to enhance the recognition accuracy of different masked faces. A feasible approach has been proposed that consists of first detecting the facial regions. So, n orders to detect whether you are wearing a face mask to protect yourself, I decided to construct a simple and basic Convolutional Neural Network model, using TensorFlow and Keras library. With the prevailing pandemic of COVID-19, these systems will benefit many kinds of organizations worldwide. These types of systems are especially important.