Fake Logo Identification using DL

Authors: Mr. S.P. Bangal, Dr. S.B. Lvahate, Miss. Harshada Bhor, Miss. Vaishnavi Bhoknal, Miss. Kalyani Gadekar

Country: India

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Abstract: Counterfeit product identification is a growing challenge in today’s market, with fake goods infiltrating both online and offline sales channels. This project aims to address this issue by developing a mobile application for product authenticity verification through logo recognition and supply chain tracking. Unlike traditional methods using QR codes, this solution focuses on detecting counterfeit products by scanning logos, whether they are purely graphical, textual, or a combination of both. By integrating machine learning and deep learning techniques, the system can accurately classify logos and match them with a database of verified products, ensuring authenticity. Additionally, the app will include a supply chain verification feature, allowing users to trace the origin and journey of products to further confirm their legitimacy.

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Paper Id: 232553

Published On: 2025-06-04

Published In: Volume 13, Issue 3, May-June 2025

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