Modern AI technologies have profoundly influenced the evolution of home monitoring systems, moving beyond traditional surveillance to establish intelligent, adaptive environments. This paper investigates the forefront advancements in home monitoring driven by AI, concentrating on the integration of machine learning algorithms, natural language processing, and computer vision. By harnessing AI's capability to analyze realtime data, predict behavioral patterns, and automate responses, these systems deliver unparalleled levels of security, convenience, and personalization. We examine innovative applications such as context-aware adaptive security systems, predictive maintenance for home appliances, and interactive virtual assistants that understand and anticipate user needs. This abstract underscores AI's transformative potential in developing not merely reactive but proactive home environments, where monitoring systems evolve from passive observers to active participants in household management. The discussion highlights distinctive contributions from AI research that are establishing new benchmarks for home automation and personal security, paving the way for a future where homes are not only monitored but intelligently managed
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Pranam et al. (2024) studied this question.
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