Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{190673,
author = {Karthik H and Sidhinchandran C S and Nived Krishna A and Mohammed Rishal K},
title = {HOMESHIELD A Home Monitoring and Danger Alert System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {8},
pages = {4366-4375},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=190673},
abstract = {There is a requirement for a centralized and au-tomated security system for homes which analyzes data from sensors and detects possible hazards. This system must alert residents at times of hazards and help prevent possible hazards through early detection and personalized suggestions based on sensor data. Through this project we would like to create an innovative IoT driven Smart Home Security System (SHSS) which helps detect several different types of hazards, provides real time alerts and courses of action based on data input from sensors like an MQ2 sensor for gas and smoke, a PIR sensor and facial detection and analysis as an anti burglary system, a flame sensor in case of fire, a water level monitoring sensor for flood detection and a vibration sensor for earthquake detection, data analysis using Raspberry Pi technology for better computational skills, and real time alerts using SMS and website hosting directly on the Raspberry Pi. This data which is received from sensors in the area will be collected in a centralized system, and will be successfully conveyed to homeowners. This project aims to demonstrate the efficacy of these systems during real life circumstances.},
keywords = {IoT, OpenCV, YOLO, Raspberry Pi, Home-Shield, ESP32-CAM},
month = {January},
}
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