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AI ENABLED FACE RECOGNITION AND BIOMETRIC FINGERPRINT SCANNING FOR BANK LOCKER SECURITY SYSTEM

Rajendra. K, Priya ., Tasmiya ., Asma ., Varsha .

Abstract


This project presents a bank locker security system integrating face recognition and fingerprint authentication, enhancing overall security. Access to lockers is granted exclusively to authorized users through a dual-layer authentication process. The face recognition module verifies the user's identity using facial biometrics, while the fingerprint scanner authenticates their identity through unique fingerprint patterns. An Arduino microcontroller orchestrates the system, managing the locking mechanism to  permit or deny access. The system includes real-time status updates displayed on an LCD screen and optional GSM module alerts for detecting unauthorized access attempts. By leveraging advanced biometric technologies, it offers a reliable, accurate, and scalable solution for banking security, effectively mitigating the risks of theft and unauthorized access while ensuring ease of use for users.


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References


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