It has become very common for products to be counterfeited, and it is highly unlikely for the product that is counterfeited to be identified just by looking at the product. For major businesses, counterfeiters pose serious obstacles, but there are far too many of them. People are unaware of the full extent of counterfeit products' impact on brands. Various procedures have been developed before to identify the issue of counterfeiting of the product. The most procedures that are used in identifying the product counterfeiting involves technologies like RFID tags, AI, QR code-based systems, etc. But however, every one of the above mentioned methods of had a few drawbacks, such as the ability to copy a QR code from a real product and place it on a counterfeit one, and the use of artificial intelligence. CNN and machine learning, which need a lot of computer capacity, are used in intelligence. The objective of this project is to improve the identification of the counterfeited product. Blockchain technology, provides the necessary measures for the tracking and the identification of original products. Every process is made visible and accessible by different parties together via a blockchain-based system. One of the main benefits is that the data is secured and protected from any vulnerabilities as it cannot be changed without the authorization of the admin involved.

Blockchain, Counterfeit, QR Code, Decentralized Architecture