Abstract
The coronavirus pandemic in 2020 caused severe injury to many people, which led to the imposition of wearing a mask in all public places to limit the spread of the virus among individuals because it is transmitted through the saliva of the infected person. Because of constantly wearing the mask, it has become difficult to identify people because the mask covers half the face, so this aspect has taken on great importance for many researchers using deep learning to facilitate the identification of people while wearing the mask using YOLOv5 and CNN algorithms. In this research paper, we present the results of previous research conducted in the past few years.
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