Deep Learning Based Masked Face Detection

Face recognition technology is an array of algorithms that work to recognize dynamic or static face images of people. Recently, with the developments in the field of software, studies in the field of face recognition have accelerated and its use has increased. Even most popular identification systems became insecure because the spread of coronavirus occurs through physical contact. In this study, deep learning based face recognition and detection methods are presented based on face masks, which be worn for being protected from COVID-19 epidemic. Tensorflow library is being used to benefit from CNN which are used to separate objects by analyzing images and grouping the common features. One of the most important advantages of Tensorflow is to provide a convenient library to developed projects.