Online Fake Logo Detection Using Machine Learning

Abstract

The proliferation of online businesses and e-commerce platforms has led to a significant rise in counterfeit logos designed to deceive consumers and tarnish brand reputations. Fake logos are used by malicious actors to mimic established brands, leading to financial losses, data theft, and erosion of consumer trust. Traditional methods of logo verification, such as manual inspection and watermarking, are inadequate in addressing large-scale logo forgery due to their inefficiency and susceptibility to advanced counterfeiting techniques. Thus, there is a growing need for automated and intelligent solutions that can effectively detect and differentiate fake logos from authentic ones. This research explores the application of deep learning, computer vision, and artificial intelligence (AI) techniques in online fake logo detection.