A Smart Eye Detection System Using Digital Certification to Combat the Spread of COVID-19 (SEDDC)

Abstract

The spread of the COVID-19 pandemic deeply affected the lifestyles of many billions of people. People had to change their ways of working, socializing, shopping and even studying. Governments all around the world made great efforts to combat the pandemic and promote a rapid return to normality. These governments issued policies, regulations, and other means to stop the spread of the disease. Many mobile applications were proposed and utilized to allow entrance to locations such as governmental premises, schools, universities, shopping malls, and a multitude of other locations. The applications most used being the monitoring of PCR (polymerase chain reaction) test results and vaccination status. The development of these applications is recent, and thus they have limitations which need to be overcome to provide an accurate and fast service for the public. This paper proposes a mobile application with an enhanced feature which can be used to speed the control process whereby public enter controlled locations. The proposed application can be used at entrances by security guards or designated personnel. The application relies on artificial intelligence techniques such as deep learning algorithms to read the iris and automatically recognize the COVID-19 status for the person in terms of their PCR test results and vaccination status. This proposed application is of promise because it would enhance safety while simultaneously facilitating a modern lifestyle by saving time compared to current applications used by the public.

Keywords: COVID 19, Artificial intelligence, Vaccination, PCR test