Fake Product Detection System Using Blockchain

11 May

Authors: Assistant Professor C.P. Lachake, Sujal Chavan, Sahil Vidhate, Pranav Kute., Jagdish Navpute

Abstract: The increasing presence of counterfeit goods across industries threatens consumer safety, brand trust, and supply chain transparency. Traditional anti-counterfeiting methods are prone to duplication and lack unified traceability. This paper presents an implemented blockchain-based system for fake product detection that ensures secure and tamper-evident product provenance. Each product is assigned a unique on-chain identity on a permissioned blockchain, with smart contracts managing lifecycle events such as manufacturing, transfer, and sale. Consumers can verify authenticity through QR/NFC-based access. Additionally, an image recognition module compares product visuals with verified references to detect anomalies. The system, developed using React and Solidity, is evaluated through simulated supply chain scenarios and image datasets. Results demonstrate low-latency verification, improved traceability, and robustness against common threats such as cloning and replay attacks. The approach provides a scalable and practical solution for enhancing trust in modern supply chains.

DOI: https://doi.org/10.5281/zenodo.20115012