Designing a Model to Monitor the Commitment of People to Wear a Face Mask, Even if an Image of their Real Face is Printed on it, using Deep Learning Ansam Ghanom 1 and Dr. Mohamad-Bassam Kurdy 2 1 Department of Web Sciences, Syrian Virtual University, Damascus, Syria Email: ansam_97187@svuonline.org 2 Department of Artificial Intelligence, Syrian Virtual University, Damascus, Syria ORCID: 0000-0002-3596-3320 Abstract—The novel coronavirus (COVID-19) has rapidly affected our daily lives, which led to stopping the wheel of life for millions of people around the world and disrupting trade and global movements. The most important measure to limit the spread of this virus is to wear a mask on the face, so this procedure has become a new normal. In the near future, many public service providers will require customers to wear masks properly to benefit from their services. Therefore, the discovery of the face mask has become a critical task to help the global and local community. In this paper, we propose a method using deep learning techniques and models that detects the faces of several people in a image or video stream in real-time and then identifies the faces of people who wear a mask and people who do not wear a mask, it also discovers people who put a mask in the wrong way, that is, the mask is under the chin or covers the mouth and chin only, and the nose appears, and here it means its absence, and also discovers people who wear a mask with the real features of their faces hidden behind the mask, that is, they put a mask but appear as if they are not wearing a mask. Index Terms—Covid-19, Computer Vision, Image Processing, Deep Learning, data augmentation, Transfer Learning, CNN(Convolution Neural Network), Back Propagation, Adam Optimizer, Face Detection and Face Mask Detection. I. INTRODUCTION Novel Coronavirus (Covid-19) is a highly contagious epidemic disease caused by Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) that originated in the Chinese city of Wuhan in late December 2019 and has since spread globally, common symptoms include fever, cough and shortness of breath, and COVID-19 infection can mostly be transmitted through respiratory droplets generated when people breathe, talk, cough, or sneeze. The World Health Organization (WHO) announced that Covid-19 became a pandemic on March 12, 2020, and since that time this epidemic has become a major threat to the life of the entire world, which has infected millions of people around the world and led to the death of many of them, and thus the world is facing a huge health crisis due to the rapid transmission of the virus. Therefore, a comprehensive ban was imposed on countries around the world to mitigate this spread, and this affected the local and global economy and led to a halt in the wheel of life, which made researchers work around the clock to find solutions and design strategies to control the epidemic and Grenze ID: 01.GIJET.9.1.738 © Grenze Scientific Society, 2023 Grenze International Journal of Engineering and Technology, Jan Issue