智能购物车:一个分布式框架

Bipin Kumar Yadav, Akash Burman, Abhoy Mahato, Manish Choudhary, A. Kundu
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引用次数: 1

摘要

在零售商店中,大多数人花在结账队列上的时间比花在挑选商品上的时间要多,因为高峰期排队时间过长。任何零售商店的顾客在结账队列中花费的平均时间对服务质量分析有直接的影响。因此,在实时场景中,考虑不同的方法来减少队列中的等待时间是很重要的。我们提出了一个购物车系统,它将整个计费队列分配到更小的单独单元中,这样就不必在销售点(PoS)等待特定商品的计费过程。该设备使用射频识别(RFID)技术扫描每个产品。所有产品都附有无源RFID标签。标签包含产品的名称和价格等信息。该设备包括一个13.56 MHz的RFID读写模块,用于读取贴在产品上的RFID标签。在covid-19恐慌的情况下,这种分布式推车系统还有助于人们保持社交距离,避免排长队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Cart: A Distributed Framework
In retail stores, most of the people spend more time in billing queue than the time he spends choosing the items due to long queue in rush time. The average time that customers of any retail store have to spend in the billing queues has a direct influence on the quality analysis of services. Thus, it is important to think about different ways to reduce the waiting time in a queue in real time scenario. We propose a cart system that distributes the whole billing queue into smaller individual units so that no one has to wait for the billing process at point of sales (PoS) for specific items. This device uses radio-frequency identification (RFID) technology to scan each product. A passive RFID sticker tag is attached with all the products. The sticker tag contains information including name and price of the product. The device includes a 13.56 MHz RFID reader/writer module that reads RFID stickers attached to the products. In this covid-19 alarmed situation, this distributed cart system also helps people to maintain social distance avoiding long queues.
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