COUNTERFEIT PRODUCT DETECTION
Abstract & Details
Research Area
COMPUTER SCIENCE
Keywords
QR codes
NFC tags
Tamper-resistant method
User-friendly mobile application
Authentication
tokens.
Abstract
Counterfeiting remains an enduring issue across various sectors, from pharmaceuticals and electronics to
luxury goods and automotive parts. Conventional anti-counterfeiting strategies have proven inadequate. To confront
this challenge, we advocate for an integrated solution that harnesses the potential of QR codes and NFC tags to create
a resilient and secure counterfeit product detection system.Develop a multifaceted counterfeit product detection system
that harnesses the capabilities of QR codes and NFC tags.Establish a secure, tamper-resistant method for generating
QR codes and NFC tags.Design and implement a user-friendly mobile application for consumers to ef ortlessly verify
product authenticity.Evaluate the ef icacy of this integrated approach in diminishing the circulation of counterfeit
products and enhancing consumer trust.Our methodology revolves around the seamless integration of QR codes and
NFC tags into the product labeling process. Each QR code and NFC tag encapsulates unique product information,
including digital signatures, manufacturing details, and secure authentication tokens.To ensure the security of QR
codes and NFC tags, we employ robust encryption during their generation. Digital signatures augment authenticity,
rendering replication or tampering exceedingly challenging for counterfeiters. The system undergoes rigorous testing
in real-world scenarios to assess its ef ectiveness in detecting counterfeit products and furnishing precise product
authentication. Consumer and business feedback informs iterative system refinementsThe Counterfeit Product
Detection project, harmonizing QR codes and NFC tags, introduces an innovative and all-encompassing solution to the
persistent counterfeit product challenge. By elevating authentication and traceability, this endeavor seeks to shield
consumers, preserve brand integrity, and fortify the global anti-counterfeit effort. The project's potential impact is
substantial, promising bolstered consumer confidence and contributing to counterfeit product eradication across
industries.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SRINIVASAN A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | RAGESH N | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | JAYESH V A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | SRIRAM S | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A, SRINIVASAN, N, RAGESH, A, JAYESH V, & S, SRIRAM (2023). COUNTERFEIT PRODUCT DETECTION. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1947-1952.
MLA Style
A, SRINIVASAN, et al. "COUNTERFEIT PRODUCT DETECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1947-1952.
IEEE Style
SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S, "COUNTERFEIT PRODUCT DETECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1947-1952, 2023.
Vancouver Style
A SRINIVASAN, N RAGESH, A JAYESH V, S SRIRAM. COUNTERFEIT PRODUCT DETECTION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1947-1952.
Harvard Style
A, SRINIVASAN, N, RAGESH, A, JAYESH V, & S, SRIRAM (2023) 'COUNTERFEIT PRODUCT DETECTION', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1947-1952.
Chicago Style
A, SRINIVASAN, et al. "COUNTERFEIT PRODUCT DETECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1947-1952.
Turabian Style
A, SRINIVASAN, et al. "COUNTERFEIT PRODUCT DETECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1947-1952.
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