RFID based Smart Trolley for Supermarket

Authors

  • Marmik Soni  Department of E&C, FoT, Dharmsinh Desai University, Nadiad, Gujarat, India
  • Raj Shingala  Department of E&C, FoT, Dharmsinh Desai University, Nadiad, Gujarat, India
  • Naimish Bhanderi  Department of E&C, FoT, Dharmsinh Desai University, Nadiad, Gujarat, India
  • Rahul Ajmeriya  Department of E&C, FoT, Dharmsinh Desai University, Nadiad, Gujarat, India

Keywords:

Digital India; Electronic Product Code; Raspberry Pi 3; Radio Frequency Identification; Smart Trolley; Super Market

Abstract

Development of technology has always been directly or indirectly focused towards reduction of human intervention in day to day life. Making the process of shopping faster, convenient and simpler is the requirement in consumer market every other day. This paper discusses an innovative system design which, to a great extent reduces shopping time and makes the experience better at retail shops and super markets. System discussed here is about designing smart trolleys employing Radio Frequency Identification technology, online payment gateway and servers. This technique will reduce the requirement of staff and equipment required during the process of billing up to large extent. Smart trolleys are using Raspberry Pi 3, keypad, display, Wi-Fi connectivity, sensors and printers for a better, faster, optimized and satisfactory service to the customers. This scheme also promotes the concept of Digital India and cashless economy.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-10

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Marmik Soni, Raj Shingala, Naimish Bhanderi, Rahul Ajmeriya, " RFID based Smart Trolley for Supermarket, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.487-493, March-April-2018.