AI-Powered Smart Home Security Using Facial Recognition and Block chain Logging

Abstract

This project presents an AI-based smart home security system integrating facial recognition and blockchain technology to ensure secure, efficient access control and intrusion detection. Facial recognition enables biometric authentication, processed locally on edge devices for faster and private validation. Blockchain ensures tamper-proof identity verification and access logs without relying on a central authority. An AI-powered intrusion detection module monitors abnormal behavior through sensor data, enhancing real-time threat detection. The system provides end-to-end encrypted communication, role-based access, and audit-ready logs. Designed for scalability and privacy, the proposed model offers a robust, decentralized solution to address evolving smart home security challenges.