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.
