Fake Product Identification using Block Chain

Authors

  • Dr. C. Murugamani  Associate Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • S. Indu  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • Poloju Kavya  

Keywords:

Counterfeit product, QR code, Blockchain.

Abstract

In recent years, Counterfeit products play an important role in product manufacturing industries. This affects the companies name, sales, and profit of the companies. Blockchain technology is used to identification of real products and detects fake products. Blockchain technology is the distributed, decentralized, and digital ledger that stores transactional information in the form of blocks in many databases which is connected with the chains. Blockchain technology is secure technology therefore any block cannot be changed or hacked. By using Blockchain technology, customers or users do not need to rely on third-party users for confirmation of product safety. In this project, with emerging trends in mobile and wireless technology, Quick Response (QR) codes provide a robust technique to fight the practice of counterfeiting the products. counterfeit products are detected using a QR code scanner, where a QR code of the product is linked to a Blockchain. So this system may be used to store product details and generated unique code of that product as blocks in the database. It collects the unique code from the user and compares the code against entries in the Blockchain database. If the code matches, it will give a notification to the customer, otherwise it will give the notification to the customer that the product is fake.

References

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Published

2023-06-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. C. Murugamani, S. Indu, Poloju Kavya "Fake Product Identification using Block Chain" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 2, pp.948-955, March-April-2023.