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

Murad Al-Rajab, Ibrahim Alqatawneh, Ahmad Jasim Jasmy, Syed Muhammad Noman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationHybrid Intelligent Systems
Subtitle of host publication22nd International Conference on Hybrid Intelligent Systems (HIS 2022)
EditorsAjith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi
PublisherSpringer, Cham
Number of pages15
ISBN (Electronic)9783031274091
ISBN (Print)9783031274084
Publication statusPublished - 25 May 2023
Event22nd International Conference on Hybrid Intelligent Systems and the 18th International Conference on Information Assurance and Security - Virtual, Online
Duration: 13 Dec 202215 Dec 2022
Conference number: 22 & 18

Publication series

NameLecture Notes in Networks and Systems
Volume647 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference22nd International Conference on Hybrid Intelligent Systems and the 18th International Conference on Information Assurance and Security
Abbreviated titleHIS 2022 & IAS 2022
CityVirtual, Online

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