Shamsul, Shazielya and Ali, Mohammed A. H. and Abdul-Rashid, Salwa Hanim and Ghaleb, Atef M. and Alqahtani, Fahad M. (2024) Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores. CMC-Computers Materials & Continua, 80 (1). pp. 1277-1304. ISSN 1546-2218, DOI https://doi.org/10.32604/cmc.2024.049257.
Full text not available from this repository.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%.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya, Ministry of High Education-Malaysia (FRGS/1/2023/TK10/UM/02/3); (GPF 020A-2023), King Saud University (RSPD2024 R803), Alfaisal Universiy |
| Uncontrolled Keywords: | Smart checkout system; RFID technology; improved laser simulator logic (ILSL); reduce noise; checkout process |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 22 Nov 2024 07:01 |
| Last Modified: | 22 Nov 2024 07:01 |
| URI: | http://eprints.um.edu.my/id/eprint/47114 |
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