This pandemic is having devastating effects on societies and economies around the world. Since the infectious coronavirus disease (COVID-19) was first reported in Wuhan, it has become a public health problem in China and even around the world. The computer vision and deep learning techniques used in face recognition and facemask detection are describes in this systematic literature review. Literature has shown that the use of computer vision and deep learning technology can play important role in the deployment of such access control system for face detection and facemask detection. Hence, there is a need to design an access control system for use in public places to grant access to people complying with the facemask regulations or deny access to those faulting them. However, some people have refused to wear the facemask in public places, thereby increasing the rate at which the virus spreads. For this reasons people are advised to use facemask whenever they go out for their daily activities. One of the most effective way of preventing the spread of this virus is the use of facemask in public places such as banks, shopping mall, schools, offices and the likes.

After the emergence of the Coronavirus disease (Covid19) in December, 2019 the virus was confirmed by the World Health Organization (WHO) to be a dangerous virus that spread through airborne and droplets.

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