Developing of coin recognition system using matlab algorithms

Abstract

Monetary recognition systems are at the forefront of modern financial transactions, playing a crucial role in ensuring the accuracy and security of both physical and digital currency exchanges. This research focuses on optimizing these systems to enhance fraud detection capabilities and improve the efficiency of self-vending processes. By leveraging advanced technologies such as artificial intelligence (AI), machine learning (ML), biometric authentication, and blockchain, the study aims to address the dual challenges of fraud prevention and operational efficiency. The research involves a comprehensive review of existing technologies, the development of sophisticated algorithms, and the integration of biometric and blockchain solutions. Expected outcomes include the creation of more robust and accurate monetary recognition systems, significant reductions in fraudulent activities, and enhanced user experiences in self-vending environments. This study provides a detailed roadmap for implementing advanced recognition systems, offering valuable insights for financial institutions, technology developers, and policymakers dedicated to advancing secure and efficient monetary transactions.