Review of the Contributions of Contactless Payment Technologies in the COVID-19 Pandemic Process

被引:5
作者
Sahinaslan, Onder [1 ]
Sahinaslan, Ender [1 ]
Gunes, Emre [1 ]
机构
[1] Maltepe Univ, Dept Informat, Istanbul, Turkey
来源
FOURTH INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2020) | 2021年 / 2334卷
关键词
Covid-19; Retail; Artificial Intelligence; Contactless Payment; New Generation Digital Technologies;
D O I
10.1063/5.0042225
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In today's world where the effects of Covid-19 are felt intensely all over the world, change in traditional retail has become necessary. Traditional merchandising based on physical contact Covid-19 is not suitable. People do not shop from places that are not safe for health. Technological innovations in the retail sector paved the way for information and digital-based commerce. Instant data obtained from the devices used are transferred to central databases over networks. With the machine learning method based on artificial intelligence, more efficient and faster business activities are performed on these data. Sensor and camera-assisted deep learning-based IoT applications play a very important role in combating the epidemic. Shopping environments without contact, waiting, cashier, store assistant, cash flow and credit card applications are a great advantage for the Covid-19 period. Less human contact and hygienic environments that are not crowded are critical in this period. In this study, the use of contactless payments, artificial intelligence-supported digital innovations and Covid-19 measures were examined in the retail sector.
引用
收藏
页数:5
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