Deep Learning based Automated Billing Cart

N. Ragesh, B. Giridhar, D. Lingeshwaran, P. Siddharth, K. Peeyush
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引用次数: 11

Abstract

Nowadays, shopping malls have become an integral part of life and people in cities often go to shopping malls in order to purchase their daily requirements. In such a place, the environment must be made hassle-free. Our system is mainly designed for edible objects like fruits and vegetables. For edible products like vegetables and fruits, bar-codes and RFID tags cannot be used as they have to be stuck on each of the items and the weight of each item has to be individually measured. The proposed system consists of a camera which detects the commodity using Deep Learning techniques and a load cell which measures the weight of the commodity attached to the shopping cart. This system will generate the bill when the customer scans the item in front of the camera which is fixed on to the Cart.
基于深度学习的自动计费车
如今,购物中心已经成为生活中不可或缺的一部分,城市里的人们经常去购物中心购买他们的日常需求。在这样一个地方,环境必须是无障碍的。我们的系统主要是为水果和蔬菜等可食用物品设计的。对于蔬菜和水果等可食用产品,条形码和RFID标签不能使用,因为它们必须贴在每件物品上,而且每件物品的重量都必须单独测量。该系统由一个使用深度学习技术检测商品的摄像头和一个测量购物车上商品重量的称重传感器组成。当顾客在固定在购物车上的摄像头前扫描商品时,该系统就会生成账单。
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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