HomeGuard: Smart Home Intruder Detection Without Cameras

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Authors: Ms. K. R. Priya Dharshini, Dr.V. Yuvaraj
Cited by: 0

Abstract

Home security systems often rely on expensive sensors or camera-based surveillance, which raise privacy concerns and require complex installation.This project proposes HomeGuard, a smart, privacy-preserving intruder detection system that operates without any IoT hardware or cameras.Instead, the system uses software-based sensing techniques, leveraging the built-in capabilities of everyday devices such as smartphones and WiFi routers.The application continuously monitors environmental patterns-such as sound anomalies, vibrations, motion signals, and WiFi signal fluctuations-to detect unusual activities within the home.Using machine learning-based anomaly detection and real-time signal analysis, the system intelligently identifies potential intrusion events.Upon detection, HomeGuard immediately triggers alerts through mobile notifications, email, or an integrated dashboard, ensuring prompt response.The solution emphasizes privacy, cost-efficiency, and accessibility, making home security available even to environments with limited hardware resources.HomeGuard demonstrates that effective intrusion detection can be achieved using software intelligence alone, eliminating the need for cameras or physical IoT devices.This approach offers a secure, non-intrusive, and scalable alternative to traditional surveillance systems.

Fields of Study & Subjects

IoT-based Smart Home Systems Network Security and Intrusion Detection Context-Aware Activity Recognition Systems

Publication details

Journal / source
International Journal of Research Publication and Reviews
Volume
7
Issue
3
Pages
661–666
Publication date
1 March 2026
Language
EN