Smart Information Recognition on COVID-19 APPs for User Health Identification

Abstract

This paper proposes a framework that will be discussed for the smart recognition of individual identification information for COVID-19 APPs. An example of these APPs is AL HOSN APP in the United Arab Emirates. The study will evaluate the identification of an individual that contains information regarding PCR results and COVID-19 Vaccine results. Such data entry enables users to access places while lowering the chances of face-to-face contact. The proposed framework will ensure complete security to prevent abuse of individual’s personal information. Furthermore, importance of detection mechanism with hardware compatibility is taken into account to ensure a complete smart process from scanning process to validation of results.