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Shopping Trolley for Automated Billing System

with Pick and Place Mechanism

  Using Image Processing

Deepti S Hegde, Divyashree, K S Tanushree, Koushik S M, Nithin H V

E&CE, PES Institute of Technology and Management, India

Abstract—  In the realm of individual E-business transactions, many people engage in purchasing various items form markets and shopping centers to fulfill their basic needs Despite the numerous challenges faced by customers, a prevalent issue is the time-consuming process of waiting in line for billing, even when the purchase involves only a couple of item. This traditional method of queuing up, handling cash transaction, and the average time spent on each customer become particularly burdensome in crowded grocery stores and shopping malls. Customers, especially those inclined towards embracing new technologies, are eager for innovations that streamline the billing process, reducing waiting times and overall transaction during. The primary objective is to meet the essential needs customers and, importantly, alleviate the time spent on the billing process. The proposal is to transition from the conventional waiting-in-time approach to a system where the billing is completed within the shopping trolley itself. Supermarkets and general stores, having been in operation for decades, serve as go-to destination for purchasing fresh fruits, vegetables, and a wide array of daily necessities. While these establishments have implemented various measures to deter shoplifting and enhance the overall shopping experience, the bottleneck of waiting in line for billing remains a technological solution that facilitates a seamless shopping experience, utilization Raspberry Pi and other advancements. The proposed system is well-suited for implementation in general shopping centers such as supermarkets, D-mart, Big Bazaar, and Walmart. The technology aims significantly reduce time consumption, offering an enhanced shopping experience for customers.

Keywords— Smart-shopping, Raspberry-Pi, shopping Trolley, Image processing, Machine Learning, Artificial Intelligence.