Intrusion Detection for Smart Home Alarm Security System

Smart home security is increasingly essential in today’s world due to rising concernsover unauthorized access and property intrusion. Leveraging the capabilities of Raspberry Pi, a lowcost and efficient home security system is developed that combines motion detection, real-timeimage capture, SMS and email alerts, and automated door locking. The system uses OpenCV formotion tracking, a GSM module for text notifications, and a buzzer for local alarms, all integratedthrough Python scripts. A voltage regulator and backup battery ensure uninterrupted functionalityduring power outages. Testing showed over 90% accuracy in intrusion detection and prompt alertdelivery within seconds. The solution is both scalable and affordable, bridging the gap betweenhigh-cost commercial systems and the growing need for smart, userfriendly home protection. Futureimprovements include AIbased facial recognition, cloud storage, mobile app integration, andsupport for multiple surveillance nodes.

Authors

Publication Details

Journal
International Journal of Engineering Technology and Management Sciences
Published
2025-01-01
DOI
https://doi.org/10.46647/ijetms.2025.v09i03.015
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
1.46
Controls
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article

Intrusion Detection for Smart Home Alarm Security System

Kiran Sree Pokkuluri, M Mamatha, Vivek Kumar Prasad, P. Aakash et al.
2 citations
International Journal of Engineering Technology and Management Sciences
IoT-based Smart Home Systems
1.46
article

Intrusion Detection for Smart Home Alarm Security System

Kiran Sree Pokkuluri, M Mamatha, Vivek Kumar Prasad, P. Aakash, N. Sravya
article en
2 citations

Abstract

Smart home security is increasingly essential in today’s world due to rising concernsover unauthorized access and property intrusion. Leveraging the capabilities of Raspberry Pi, a lowcost and efficient home security system is developed that combines motion detection, real-timeimage capture, SMS and email alerts, and automated door locking. The system uses OpenCV formotion tracking, a GSM module for text notifications, and a buzzer for local alarms, all integratedthrough Python scripts. A voltage regulator and backup battery ensure uninterrupted functionalityduring power outages. Testing showed over 90% accuracy in intrusion detection and prompt alertdelivery within seconds. The solution is both scalable and affordable, bridging the gap betweenhigh-cost commercial systems and the growing need for smart, userfriendly home protection. Futureimprovements include AIbased facial recognition, cloud storage, mobile app integration, andsupport for multiple surveillance nodes.

International Journal of Engineering Technology and Management SciencesVol. 9(3)
Openalex Percentile: Top 16%
IoT-based Smart Home Systems
1.46
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Intrusion Detection for Smart Home Alarm Security System — Kiran Sree Pokkuluri, M Mamatha, et al. · International Journal of Engineering Technology and Management Sciences (2025) | TGRS Research Map | TGRS