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Review of the contributions of contactless payment technologies in the COVID-19 pandemic process

机译:审查Covid-19大流行过程中非接触式支付技术的贡献

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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.
机译:在当今世界各地的Covid-19的影响的世界中,传统零售的变化已经成为必要。基于物理接触Covid-19的传统商品不适合。人们不从不安全的健康的地方购物。零售业的技术创新为信息和数字的商业铺平了道路。从使用的设备获得的即时数据被转移到网络中的中央数据库。通过基于人工智能的机器学习方法,对这些数据进行更高效和更快的业务活动。传感器和相机辅助基于深度学习的物联网应用在打击流行病方面发挥着非常重要的作用。没有联系的购物环境,等待,收银员,商店助理,现金流量和信用卡应用是Covid-19期间的一个很大的优势。在这一时期,不满众的人性联系和卫生环境较少。在本研究中,在零售业中审查了使用非接触式支付,人工智能支持的数字创新和Covid-19措施。

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