Abstract
This paper focuses on the optimization and advancement of contactless ID
card reading technologies within the banking sector. Contactless ID cards have gained
significant traction in recent years due to their convenience and enhanced security features.
This study examines various strategies to improve the efficiency, accuracy, and reliability
of contactless ID card reading systems in banking operations. It explores advancements in
RFID (Radio Frequency Identification) technology, machine learning algorithms, and
biometric authentication methods to enhance user experience and mitigate security risks.
Additionally, the paper discusses challenges and potential solutions associated with the
integration of contactless ID card systems into existing banking infrastructure. The findings
aim to provide valuable insights for banks and financial institutions seeking to leverage
contactless technology for seamless and secure customer interactions.
