Abstract: The Outbreak of the Covid-19 Pandemic had witnessed a worldwide crisis. It had already hit the second wave and is on verge of the third wave. Since then it has become a necessity and primary responsibility for every individual to follow government laid rules. One of the most effective solutions is wearing "Face Masks". In this paper, the detailed analysis and complete implementation of the face mask detector are presented. This detector uses the MobileNetV2 model and determines whether a person Is wearing a mask or not. Our work is based on Deep learning, TensorFlow, Keras, and OpenCV. MobilenetV2 architecture as a framework that is also accessible by embedded systems.

Keywords: Deep Neural Network, MobileNetV2, Covid-19.

| DOI: 10.17148/IARJSET.2021.8593