• Mrs M.DIVYA
• Mr Dr.J.DHILIPAN
• Ms B.HARISHINI
• Ms P.HARINI
• Ms D.JEEVIKA

The solution's foundation is based on an advanced biometric Multi-factor authentication (MFA) system, which is 3D facial recognition and fingerprint scanning for hardware tokenless access to bank lockers. It is the next-gen technique that comes with AI-based video analytics and Edge AI, which will catch any kind of threat instantly. This process elevates the effective rate by a margin and cuts off the overall latency time. Smart locks, enabled by the connectivity provided through the IoT, provide assurance that the blockchain systems they are connected to are competent to maintain an historical record of each access-related event-safely and endlessly. Access is also covered through role-based access control (RBAC), which provides granular permission in addition to AI-driven insights for monitoring and response of suspicious access behaviors. The service provides highly secure quantum encryption for the cloud to better protect sensitive data today and in the quantum future. It is possible to track access event patterns across the blockchain, which gives way to immutable logging. Event-AI powered behavior analysis provides predictive alerts which proactively inform users and other authorized family members of suspicious activities in the neighborhood. This approach ensures that the systems applied in managing access to bank lockers have security, productivity, and flexibility.

"IoT-Enabled Computer Vision System for Secure and Automated Bank Locker ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.e454-e461, December-2024, Available :http://www.jetir.org/papers/JETIR2412450.pdf

"IoT-Enabled Computer Vision System for Secure and Automated Bank Locker ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppe454-e461, December-2024, Available at : http://www.jetir.org/papers/JETIR2412450.pdf