Autonomous Supermarket Robot Assistance using Machine Learning

People shop in Supermarkets to examine the quality of a product physically before purchasing them. But when it comes to locating their desired products where they can't rely on staffs, pushing the loaded carts around the market and standing in queues for billing, especially for elderly customers and the disabled, it must be quite an unpleasant shopping experience and time consuming. To overcome these issues, in this paper we provide a novel solution for a better and smart shopping experience by designing an Autonomous Supermarket Robot. It can guide the customers through the repository of various products to the desired one and can be switched over to an Autonomous trolley to carry the purchased products. After the purchase, a load cell and a camera are used to predict the purchased product through Deep learning using Convolution neural networks and finally the customers can pay through their bank account. These technologies work on a common framework and provide a promising potential for robot assistance in supermarkets.