Smart Bank Locker Access with Multi-Factor Authentication

Abstract

Face Locker is an innovative facial recognition-based security system designed to modernize traditional bank locker access methods. In today's digital banking environment, conventional key and PIN-based systems face numerous security challenges and user inconvenience. This project introduces a sophisticated solution that combines facial recognition technology with secure cloud-based authentication to create a more robust and user-friendly locker access system. The system utilizes face-api.js for accurate facial detection and recognition, while Firebase provides secure backend services and user authentication. Face Locker's architecture ensures bank-grade security through encrypted data handling, real-time monitoring, and comprehensive access logging. The implementation of Next.js framework enables a responsive and intuitive user interface, making the system accessible across different devices. By replacing physical keys and PINs with biometric authentication, FaceLocker significantly reduces the risks associated with lost or stolen credentials while streamlining the locker access process. The system maintains detailed information and provides administrative controls for bank staff, ensuring both security and regulatory compliance. This modern approach to locker security represents a significant step forward in banking infrastructure, offering enhanced protection while improving the overall customer experience.