Fake Currency Detection Using MobileNetV2 Transfer Learning

This presentation explores a cutting-edge application of transfer learning to counteract the impact of counterfeit currency, leveraging MobileNetV2 for enhanced identification. Achieving an accuracy of 88.57%, it discusses plans for mobile deployment and improved security measures using UV/IR analysis. The insights aim to enhance detection methodologies, providing practical solutions to safeguard financial systems.