Open Access

ARTICLE

Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

Shazielya Shamsul¹, Mohammed A. H. Ali^1,2,*, Salwa Hanim Abdul-Rashid^1,2, Atef M. Ghaleb³, Fahad M. Alqahtani⁴

1 Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, 50603, Malaysia
2 Centre for Sustainable and Smart Manufacturing (CSSM), Faculty of Engineering, Universiti Malaya, Kuala Lumpur, 50603, Malaysia
3 Department of Industrial Engineering, College of Engineering, Alfaisal University, Riyadh, 11533, Saudi Arabia
4 Department of Industrial Engineering, College of Engineering, King Saud University, P. O. Box 800, Riyadh, 11421, Saudi Arabia

* Corresponding Author: Mohammed A. H. Ali. Email:

(This article belongs to the Special Issue: Advanced Data Science Technology for Intelligent Decision Systems)

Computers, Materials & Continua 2024, 80(1), 1277-1304. https://doi.org/10.32604/cmc.2024.049257

Received 01 January 2024; Accepted 06 May 2024; Issue published 18 July 2024

Abstract

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’ checkout counters. This is achieved by integrating a novel AI algorithm, called Improved Laser Simulator Logic (ILSL) into the RFID system. The enhanced RFID system was able to improve the accuracy of item identification, reduce noise interference, and streamline the overall checkout process. The potential of the system for noise detection and elimination was initially investigated through a simulation study using MATLAB and ILSL algorithm. Subsequently, it was deployed in a small-scale environment to validate its real-world performance. Results show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related items while eliminating noise originating from unrelated objects, achieving an accuracy rate of 88%.

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Keywords

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