Design and Development of IoT enabled CannyCart

Waiting in a long queue while shopping has become tiresome in today’s hectic society. And this takes up a lot of the user’s time when they are shopping. We suggest an automated smart tram billing solution to get around this issue. As a result, the user’s billing period is shorter. Moreover, for billing, users are no longer required to wait in a huge queue. The suggested solution made use of cutting-edge technology including RFID, Arduino, and Internet of Things (IoT). In this paper, a Canny Cart, which is nothing but a smart trolley for easy shopping is designed and developed. The user may shop using prepaid systems, but they must put enough money in their carts to meet their demands. A scanner scans the product and its weight is detected finally automatic billing is done. The amount for each item that person adds to their shopping basket will be automatically determined. If the added item is removed from the basket, the amount will be credited to the user’s prepaid shopping account. Here, RFID is used to specifically identify each item in the supermarket and to find out about other details like pricing. IoT is used to connect the entire system. Long Short-Term Memory (LSTM), a type of Recurrent Neural Network (RNN) architecture is utilized for this work. Training of 150 products is done using LSTM model with Batch Normalization (BN) for better accuracy. The proposed Canny Cart is very easy to use, low-cost, efficient with real-time interactions, highly secure, compatible, has better user-friendly interface and saves time and money. Such type of cart is recommended to be used in shopping and industrial applications.