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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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Published Paper Details
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| Paper Title: | Superscan Checkout System |
| Authors Name: | Darshan Dhamode , Danish Shaikh , Ranjit Narlya , Prof.Kirtida Naik |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200955
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| Published Paper Id: | IJRTI2503008 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | This research presents an automated checkout system using machine learning and computer vision to enhance retail efficiency. By leveraging the YOLO model for real-time product detection, the system processes images instead of barcodes, accurately identifying products and retrieving prices from a database. This eliminates long queues, reduces errors, and ensures seamless transactions. The model distinguishes between similar packaging variants, ensuring precise billing. Designed for scalability, the system enhances checkout speed, improves customer experience, and modernizes retail operations. Additionally, it minimizes manual effort, reduces hardware dependency, and can be integrated into various retail environments for a cost-effective and future-ready checkout solution. |
| Keywords: | Automated Checkout, Computer Vision, Image-Based Product Recognition, Machine Learning, YOLO. |
| Cite Article: | "Superscan Checkout System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a52-a59, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503008.pdf |
| Downloads: | 000551 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503008
Registration ID:200955
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: a52-a59 Country: Mumbai , Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503008 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503008 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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