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  Published Paper Details:

  Paper Title

Fake Product Identification By QR Code Using Blockchain

  Authors

  Rahul Maru,  Manoj Raske,  Siddharth Mekala,  Manjiri Gogate

  Keywords

Blockchain, Counterfeit, RFID, Artificial Intelligence, QR code.

  Abstract


Our current supply chains struggle with hidden inefficiencies and vulnerabilities due to limited transparency. This opacity fuels the rampant issue of counterfeiting, often undetectable by sight. Existing methods like RFID tags and AI offer some solutions, but they're hampered by limitations like replicability and high computational demands. This project proposes a novel approach: harnessing the power of blockchain technology. By creating a decentralized, tamper-proof ledger that tracks every step of a product's journey, this system guarantees transparency and traceability throughout the supply chain. Blockchain based system, makes everything decentralized that may be accessed by several parties at the same time. One of its main advantages is that the recorded data is difficult to change without the consent of all parties concerned which makes the data extremely secure and protect from all vulnerabilities. This paper presents system designed using blockchain technology for detection of counterfeit products.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2404034

  Paper ID - 254888

  Page Number(s) - a311-a316

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rahul Maru,  Manoj Raske,  Siddharth Mekala,  Manjiri Gogate,   "Fake Product Identification By QR Code Using Blockchain", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.a311-a316, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404034.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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