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.
Original language | English |
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Title of host publication | Hybrid Intelligent Systems |
Subtitle of host publication | 22nd International Conference on Hybrid Intelligent Systems (HIS 2022) |
Editors | Ajith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi |
Publisher | Springer, Cham |
Pages | 198-212 |
Number of pages | 15 |
ISBN (Electronic) | 9783031274091 |
ISBN (Print) | 9783031274084 |
DOIs | |
Publication status | Published - 25 May 2023 |
Event | 22nd International Conference on Hybrid Intelligent Systems and the 18th International Conference on Information Assurance and Security - Virtual, Online Duration: 13 Dec 2022 → 15 Dec 2022 Conference number: 22 & 18 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 647 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 22nd International Conference on Hybrid Intelligent Systems and the 18th International Conference on Information Assurance and Security |
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Abbreviated title | HIS 2022 & IAS 2022 |
City | Virtual, Online |
Period | 13/12/22 → 15/12/22 |