AI as Modern Technology for Home Security Systems: A Systematic Literature Review

The growing demand for innovative home security solutions has accelerated the integration of advanced technologies to enhance safety, convenience, and operational efficiency. Artificial intelligence (AI) has become a pivotal element in revolutionizing home security systems by enabling real-time threat detection, automated surveillance, and intelligent decision-making. This study employs a systematic literature review (SLR) to explore recent advancements in AI-driven technologies, such as machine learning, computer vision, natural language processing, and the Internet of Things (IoT). These innovations enhance security by providing features like facial recognition, anomaly detection, voice-activated controls, and predictive analysis, delivering more accurate and responsive security solutions. Furthermore, this study addresses challenges related to data privacy, cybersecurity threats, and cost considerations while emphasizing AI’s potential to deliver scalable, efficient, and user-friendly systems. The findings demonstrate AI’s vital role in the evolution of home security technologies, paving the way for smarter and safer living environments.

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Published
2025-08-28
DOI
https://doi.org/10.3390/engproc2025107035
Primary Topic
IoT and Edge/Fog Computing
Type
article
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0.00
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article

AI as Modern Technology for Home Security Systems: A Systematic Literature Review

Rizki Muhammad, Muhammad Syailendra Aditya Sagara, Yaunarius Molang Teluma, Fikri Arif Wicaksana
IoT and Edge/Fog Computing
article

AI as Modern Technology for Home Security Systems: A Systematic Literature Review

Rizki Muhammad, Muhammad Syailendra Aditya Sagara, Yaunarius Molang Teluma, Fikri Arif Wicaksana
article en

Abstract

The growing demand for innovative home security solutions has accelerated the integration of advanced technologies to enhance safety, convenience, and operational efficiency. Artificial intelligence (AI) has become a pivotal element in revolutionizing home security systems by enabling real-time threat detection, automated surveillance, and intelligent decision-making. This study employs a systematic literature review (SLR) to explore recent advancements in AI-driven technologies, such as machine learning, computer vision, natural language processing, and the Internet of Things (IoT). These innovations enhance security by providing features like facial recognition, anomaly detection, voice-activated controls, and predictive analysis, delivering more accurate and responsive security solutions. Furthermore, this study addresses challenges related to data privacy, cybersecurity threats, and cost considerations while emphasizing AI’s potential to deliver scalable, efficient, and user-friendly systems. The findings demonstrate AI’s vital role in the evolution of home security technologies, paving the way for smarter and safer living environments.

Universitas Wijaya Putra (ID), Universitas Muhammadiyah Sukabumi (ID)
Openalex Percentile: Top 75%
IoT and Edge/Fog Computing
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AI as Modern Technology for Home Security Systems: A Systematic Literature Review — Rizki Muhammad, Muhammad Syailendra Aditya Sagara, et al. · (2025) | TGRS Research Map | TGRS