COUNTERFEIT PRODUCT DETECTION

October 2023
Vol-9, Issue-5
Paper ID: 21807
ISSN: 2395-4396
Downloads: 0

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.

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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