AI-Driven Home Security System

Year : 2025 | Volume : 15 | 03 | Page :
    By

    Aavdesh Deepchand Rajbhar,

  • Nilesh Mahesh Sharma,

  1. Research Scholar, Master of Computer Application, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
  2. Research Scholar, Master of Computer Application, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India

Abstract

The fast-paced growth in Artificial Intelligence (AI) and computer vision technologies has created new opportunities in the realm of home security. This paper outlines a developed model of an AI-powered home security system that encompasses face recognition technology for accessing and conducting surveillance at a home in real time. The real time system is designed with advanced algorithms for facial recognition, allowing it to target authorized individuals and intruders from live streams. The suggested solution integrates a number of components including motion detection, facial recognition deep learning models, and an alert system capable of providing notifications through SMS, emails, or mobile apps. It uses hardware such as IP cameras and other IoT devices to automate responses such as unlocking doors, setting off alarms, or turning on/off lights. End-user profile and activity logs can be stored in a secure database, which can be easily expanded and managed reliably for local or cloud- based data storage.

Keywords: AI-based home security, face recognition, computer vision, deep learning, motion detection, IoT integration, real-time surveillance, smart home automation, access control, multi-factor authentication, geofencing, mask detection, cloud storage, data encryption, security alerts

How to cite this article:
Aavdesh Deepchand Rajbhar, Nilesh Mahesh Sharma. AI-Driven Home Security System. Journal of Communication Engineering & Systems. 2025; 15(03):-.
How to cite this URL:
Aavdesh Deepchand Rajbhar, Nilesh Mahesh Sharma. AI-Driven Home Security System. Journal of Communication Engineering & Systems. 2025; 15(03):-. Available from: https://journals.stmjournals.com/joces/article=2025/view=234989


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Ahead of Print Subscription Review Article
Volume 15
03
Received 10/03/2025
Accepted 22/09/2025
Published 29/12/2025
Publication Time 294 Days
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