BANK SAFETY LOCKER SYSTEM WITH IMAGE IDENTIFICATION BY USING IOT

Abstract

Traditional bank locker systems depend primarily on physical keys, PINs, or mechanical token-based authentication, which can be lost, duplicated, or misused. This project proposes a secure, IoT-enabled safety locker system augmented with image-based identification to improve security, convenience, and auditability. Each locker access request is verified using face recognition (or image-based identity confirmation) captured by a camera at the locker kiosk; the image is matched against a pre-registered customer profile stored securely in the cloud. The IoT platform manages access logs, real-time alerts, remote monitoring, and role-based access control for bank staff. Combining image identification with traditional multi-factor authentication (card + PIN + image) strengthens security while providing administrators with a searchable audit trail. The system supports remote management, automated alerts for suspicious events, and an encrypted cloud-backed log for regulatory compliance.