Exploring the intricacies of Biometric ATM operations, specifically focusing on the integration of fingerprint and facial recognition using Deep Learning techniques

India’s technological advancements have significantly enhanced convenience and reliability in the banking sector, benefiting consumers with notable progress. ATMs have revolutionized transaction processes, reducing the chances of errors by human intervention. Despite these advantages, incidents of card theft and fraudulent transactions have been on the rise, posing challenges to the security and trustworthiness of ATMs. Transitioning to person-based identification during transactions is crucial to bolster security measures. The adoption of a biometric authentication system is imperative for ensuring user verification through a virtual ATM approach, utilizing face and fingerprint recognition technologies, live streaming, Channel Boosted Convolutional Neural Networks, and One Time Password implementation to establish a highly secure and dependable virtual ATM system. Further research will delve into the details of this proposed strategy.