Design and Implementation of IoT-Based Smart Shopping Dash Cart

Author:

Swetha K B Swetha K B,Abhishek G Abhishek G,Ruthvik T Ruthvik T,Meghana B N Meghana B N,Narasimha Reddy Gari Naresh Narasimha Reddy Gari Naresh

Abstract

In the living world technology is evolving day by day in different fields like artificial intelligent, machine learning, virtual 1 reality, touch commerce, internet of things and so on. The main motive of the paper is focus to the customer needs and purpose because time is more important to everyone in the real world. But the people spend the more time in the supermarket. For example, consumers purchase the number of items in the supermarket using trolley. After purchasing they can face some problems like waiting the long queue in billing section and without knowing about the calculation of purchased items. In this regard, the Internet of Things (IoT) based Smart Shopping Cart is proposed which consists of Radio Frequency Identification (RFID) sensors, Arduino microcontroller, Wifi module, and Mobile application. RFID sensors depend on wireless communication. One part is the RFID tag attached to each product and the other is RFID reader that reads the product information efficiently. After this, each product information shows in the Mobile application. The customer easily manages the shopping list in Mobile application according to preferences. Then shopping information sends to the server wirelessly and automatically generates billing. This experimental prototype is designed to eliminate time-consuming shopping process and quality of services issues. The proposed system can easily be implemented and tested at a commercial scale under the real scenario in the future. That is why the proposed model is more competitive as compared to others.

Publisher

International Journal of Engineering Technology and Management Sciences

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revolutionizing Shopping Experiences with Smart Carts;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

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