Smart and Sustainable Shopping Cart for the Physically Challenged

Prashant Kumar Soori, Kiran Mathews Abraham*, Mohamed Al Mujtaba Ali Idris Osman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper discusses the design and development of a prototype working model of an automated shopping cart. The project aims to make shopping easier, especially for the elderly. In addition, this shopping cart promotes sustainability by completely eliminating the paper used for billing and plastic used as take away bags. The shopping cart is fitted with a camera connected to a Raspberry Pi module. It also consists of an inbuilt barcode scanner attached to a NodeMCU module that enables billing to be carried out by the customer and the final bill is sent to the central billing system using Wi-Fi communication technology. The trolley also has a weight tracking system that helps prevent possible theft. Upon exiting the shopping arena, the trolley follows the customer until his vehicle, and then it can be set into a mode where it returns to its designated location using a five infrared (IR) line follower array sensor mechanism.

Original languageEnglish
Title of host publicationIntelligent Manufacturing and Energy Sustainability
EditorsA. N. Reddy, D. Marla, M. N. Favorskaya, S. C. Satapathy
Number of pages12
ISBN (Electronic)9789813344433
ISBN (Print)9789813344426
Publication statusPublished - 3 Apr 2021
EventInternational Conference on Intelligent Manufacturing and Energy Sustainability 2020 - Hyderabad, India
Duration: 21 Aug 202022 Aug 2020

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


ConferenceInternational Conference on Intelligent Manufacturing and Energy Sustainability 2020
Abbreviated titleICIMES 2020


  • Anti-theft
  • Automated billing systems
  • Communication technologies
  • Line follower systems
  • Microcontrollers
  • Shopping convenience
  • Smart shopping trolley
  • User detection

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)


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