Face Mask Detection Using Image Processing and Deep Learning

Abstract

Researchers will use deep learning to improve face mask detection technologies at COVID 19, which will take place in May. The concept of deep learning has given rise to the development of a variety of different types of learning systems. It is necessary to improve the precision and effectiveness of the deep learning processes that are now in use. In this work, an attempt is made to limit the spread of the Corona virus among local people using a technology that is based on deep learning and can recognise disguised identities in public locations. It is possible to successfully deal with occlusions in crowded environments by using a mix of single-stage and two-stage detectors.