Revolutionizing Retail: An Automated Shopping Trolley For Effortless Customer Experience

Abstract

This paper introduces a game-changing innovation: the Automated Shopping Trolley (AST), which is set to transform mall shopping. This automated trolley autonomously navigates a store, retrieve a customer’s pre-selected shopping list and returns to the customer for a convenient and efficient shopping list. The system uses a user-friendly touchscreen display to allow customers to enter their product list and quantity, while the Raspberry Pi manages the shopping trip. Line Following Robot (LFR) technology follows specified lines across the mall’s architecture, ensuring safe navigation and tolerating dynamic environmental changes. Convolutional Neural Networks (CNNs) are used for product recognition, with the system equipped with cameras and powerful image processing skills. A robotic arm is fitted inside the trolley to finish the shopping process, using precision engineering to pick up and place items with care and efficiency. The Raspberry Pi serves as the primary control unit. So, it uses touchscreen module to take the product list from customer, use LFR to go to the precise product shelf, use CNN to identify the product and use robotic arm to place the product inside the trolley and using path memorization to return to the customer.