Your browser doesn't support javascript.
IoT and RFID-Based Smart Card System Integrated with Health Care, Electricity, QR and Banking Sectors
Lecture Notes in Computational Vision and Biomechanics ; 37:253-265, 2023.
Article in English | Scopus | ID: covidwho-1971589
ABSTRACT
With the vast growing population and the immense and rapid transformation to the digital world after COVID-19 pandemic, everyone from all age groups has now turned to using technology as never before. In many terms, 2020–2021 has become the era of digital boom in all sectors as well in all age groups of the world. Many business ideas and technologies have surfaced to help make users deal with small daily things like payment, health care, electricity bills and others readily at hand without the actual need of presenting the data in the form of hard copy. This work is based on IoT and RFID technology to help users reduce the manual burden to carry so many cards for every unique purpose. The proposed research aims to automate and integrate as many industries as possible into a single card system. So, with just a tap of our RFID card on the system, we are good to go. Integrating all the cards of daily use into a single RFID card will help people free from the all the different bank cards into one single card. The proposed smart card system works on an electronic device that is specifically loaded with the required software and collects only the necessary data from our card, eliminating the need for us to carry the documents and also the different bank cards, user identification cards and medical cards. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Lecture Notes in Computational Vision and Biomechanics Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Lecture Notes in Computational Vision and Biomechanics Year: 2023 Document Type: Article