AI in Home Automation Systems

The rapid advancement of AI (AI) and smart home technology has greatly improved inhabitants’ quality of life. Though a lot of research has been done on AI use cases for smart homes, not much has been done to explore how literature and goods integrate in this space. The purpose of this article is to discuss current developments in intelligent house technology and things, as well as the relationships between books and AI-enabled smart home products. Through a survey of pertinent literature and an analysis of current products, this research explores the applications and benefits of neural networks in smart homes. The objective is to have a thorough grasp of the methods used by AI to build smart houses. By means of this inquiry, we ascertain the present state of application for computer learning in smart home goods and evaluate its usefulness in actual household settings. A noteworthy conclusion from our research is the gap that still exists in the smart home space between physical items and books. But we also believe that intelligent encounters for smart homes will gain significant traction, closing the gap that now exists between theoretical developments and real-world applications.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993828
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

AI in Home Automation Systems

Jayant Gautam, Pushpendra Singh Kharayat, R. Ranjani Rani, Kushagra Kulshreshtha et al.
1 citations
IoT-based Smart Home Systems
0.21
article

AI in Home Automation Systems

Jayant Gautam, Pushpendra Singh Kharayat, R. Ranjani Rani, Kushagra Kulshreshtha, Haider Alabdeli, J. Abdullaev
article en
1 citations

Abstract

The rapid advancement of AI (AI) and smart home technology has greatly improved inhabitants’ quality of life. Though a lot of research has been done on AI use cases for smart homes, not much has been done to explore how literature and goods integrate in this space. The purpose of this article is to discuss current developments in intelligent house technology and things, as well as the relationships between books and AI-enabled smart home products. Through a survey of pertinent literature and an analysis of current products, this research explores the applications and benefits of neural networks in smart homes. The objective is to have a thorough grasp of the methods used by AI to build smart houses. By means of this inquiry, we ascertain the present state of application for computer learning in smart home goods and evaluate its usefulness in actual household settings. A noteworthy conclusion from our research is the gap that still exists in the smart home space between physical items and books. But we also believe that intelligent encounters for smart homes will gain significant traction, closing the gap that now exists between theoretical developments and real-world applications.

Western Caspian University (AZ), Iraqi University (IQ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Graphic Era University (IN), GLA University (IN), Punjab Engineering College (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
IoT-based Smart Home Systems
0.21
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