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Author(s):

Janvi Pokharkar | Shrawani Nawale | Gayatri Shelke | Prof.Thorat Prajkta
Keywords:

Artificial Intelligence (AI), Dual Biometric Authentication, Raspberry Pi, Internet Of Things (IoT), Smart Security, Access Control System, Solenoid Lock, Embedded Systems.
Abstract:
Security And Privacy Have Become Critical Concerns In Modern Smart Environments Where Traditional Door Locking Mechanisms, Such As Keys And PIN-based Systems, Are No Longer Sufficient To Ensure Robust Access Control. To Overcome These Limitations, This Paper Presents LockMate, An Artificial Intelligence-based Dual Biometric Authentication System That Integrates Facial Recognition And Fingerprint Verification For Secure Door Access. The System Is Implemented Using A Iot. AI Algorithms Perform Real-time Facial Detection And Recognition, While The Fingerprint Sensor Provides A Secondary Layer Of Authentication. This Multi-level Verification Framework Significantly Enhances System Reliability, Reduces The Risk Of Unauthorized Entry, And Ensures That Only Authenticated Users Gain Access. The Inclusion Of IoT-based Remote Monitoring And Access Logging Further Strengthens The System’s Adaptability For Smart Homes And Commercial Environments. The Proposed System Demonstrates How AI-driven Biometrics And Embedded Hardware Can Collaboratively Achieve An Intelligent, Scalable, And Secure Access Control Solution.