Advanced International Journal for Research

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CCTV with Intruder Detection System

Author(s) Ms. VAISHNAVI SANJEEV KATHARE, Ms. SNEHA NAGARAJ SHIRUR, Ms. SURABHI PRAKASH HASANARAGI, Ms. PRIYA YAMANAPPA NAVI, Prof. Dr. SHUBHA B BARAVANI
Country India
Abstract With the advancement of technology, the detection of intruders has been introduced to reduce theft and criminal activities.Instead of merely recording theft incidents, the system aims to efficiently and accurately detect them in real time. The primary goal of this project is to introduce an innovative approach to closed-circuit television (CCTV) video image processing using computer vision.This system monitors and notifies users of potential threats, while also predicting a child’s movements at home to prevent accidents. Real-time operation minimizes human effort and ensures accurate recognition through computer vision.This document outlines the design of an intrusion detection and danger prevention system for both indoor and outdoor home environments. The system employs image processing, face recognition, and machine learning for accurate prediction and alert generation.For instance, if a child approaches a dangerous area, such as a well in the garden, the system can predict the proximity based on pre-calculated distance parameters and send alerts to the user’s mobile device or connected system. Similarly, the same predictive mechanism can be applied to detect and alert users about any intruders entering restricted areas within the home.
Keywords Intrusion, Image Processing, Face Detection, Machine Learning, Rule-based Notification
Field Engineering
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-11-18
DOI https://doi.org/10.63363/aijfr.2025.v06i06.2097
Short DOI https://doi.org/hbbz7m
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