Smart Cart Powered by Artificial Intelligence

Rashmi Rani Samantaray, Nayana Hegde, Abdul Azeez, Anees Fathima, S. Prasad, J. Surendiran
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引用次数: 3

Abstract

These days shopping at enormous shopping centers or stores are turning into a day to day action in metro urban communities and non-metro urban areas. We can see enormous number of individuals at shopping centers and grocery stores on siestas and ends of the week. The people groups will be significantly more when there are unique offers and markdown. Individuals buy various things and put them in streetcar. After all out buy one necessities to go to charging counter for installments. At the charging counter the clerk reads the bill utilizing standardized identification per user which is a tedious cycle and results in lengthy lines and remaining of more number of individuals at charging counters. Our primary objective is to foster a framework that can be utilized in shopping centers to settle the previously mentioned difficulties. On other hand, Management division deals with issue in regard to manual examination of past records and it are likewise difficult task to anticipate future prerequisites. This framework will assist with lessening responsibility and manual blunders which emerge in conventional examination process by giving programmed examination and it additionally gives the data on the off chance that a few items get taken by individuals while buying. These outcomes in the best answer for every one of the previously mentioned issues. In this work, we have proposed an idea to detect theft at shopping malls also reduces human involvement. This also makes billing faster and hassle free.
由人工智能驱动的智能推车
如今,在大型购物中心或商店购物已成为都市社区和非都市地区的日常活动。在午休和周末,我们可以在购物中心和杂货店看到大量的人。当有独特的优惠和降价时,人群会明显更多。个人购买各种各样的东西并把它们放在有轨电车上。毕竟我们买了一件必需品要去分期付款。在收费柜台,工作人员根据每个用户的标准身份识别来读取账单,这是一个冗长的循环,导致排长队,并且在收费柜台前留下了更多的人。我们的主要目标是建立一个可以在购物中心使用的框架来解决前面提到的困难。另一方面,管理部门处理与手工检查过去记录有关的问题,同样,预测未来的先决条件也是一项困难的任务。这个框架将有助于减少责任和人工错误,出现在传统的检查过程中,通过进行程序化的检查,它还提供了一些数据,以防一些项目被个人在购买时拿走。这些结果是前面提到的每一个问题的最佳答案。在这项工作中,我们提出了一个在购物中心检测盗窃的想法,同时减少了人类的参与。这也使计费更快,没有麻烦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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