Fake Logo Detection using Convolutional Neural Networks: A Deep Learning Approach

Effective techniques for identifying and stopping counterfeit logos on the internet are required due to the rise in online fraud and the usage of counterfeit logos to trick customers. In order to detect bogus logos, this article suggests using a Convolutional Neural Network (CNN) methodology that combines machine learning and image processing methods. Cybercriminals are a serious problem in the online world since they regularly copy domain names, websites, and logos in an attempt to acquire trust and steal data. The project history of a new online fake logo detection system that aims to solve this escalating issue is described in the article.