Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
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.
Keywords
Paper ID
IJSARTV11I10104189
Publication Date
October 28, 2025
Research Area
Artificial Intelligence And Machine Learning In Security Systems