Abstract :

The AI-Integrated Door Locking System Leverages AI Algorithms To Revolutionize The Way We Secure Our Physical Spaces. It Employs Facial Recognition, Fingerprint Scanning, Voice Recognition, And Behavioral Analysis To Identify And Authenticate Users. This Multi-modal Biometric Authentication Process Ensures A High Level Of Security And Accuracy, Reducing The Risks Associated With Traditional Lock-and-key Systems And Key Pad Codes Allowing Users To Remotely Control And Monitor Their Doors Through A Smart Phone App , Thus Enhancing Convenience And Accessibility. The AI-based Installation Utilizes Computer Vision Algorithms For Facial Recognition, Voice Recognition, Or Gesture Recognition, Enabling Seamless And Secure Access Control. Additionally, Machine Learning Algorithms Continuously Analyze Access Patterns To Detect Anomalies And Prevent Unauthorized Entry Attempts. The System Is Designed To Be Flexible, Allowing For Remote Access Control Via Mobile Applications And Integration With Smart Home Ecosystems. Through Rigorous Setting And Evaluation, Our AI-based Door Locking System Demonstrates Superior Performance In Terms Of Security, User Experience, And Adaptability Compared To Conventional Methods. This Research Contributes To The Advancement Of Intelligent Security Solutions And Opens Avenues For Further Exploration In The Field Of AI-enabled Access Control Systems. KEYWORDS: Fingerprint, Accuracy, Algorithms, Algorithms

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

481-482

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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