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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16594
Title: | Integration of Ai and IoT for Smart Home Automation |
Authors: | Varadarajan, Mageshkumar Naarayanasamy Viji, C Rajkumar, N Mohanraj, A |
Keywords: | Artificial Intelligence Cyber Security Energy Management Internet Of Things Smart Home Automation |
Issue Date: | 2024 |
Publisher: | SSRG International Journal of Electronics and Communication Engineering Seventh Sense Research Group |
Citation: | Vol. 11, No. 5; pp. 37-43 |
Abstract: | The incorporation of Artificial Intelligence (AI) and Internet of Things (IoT) technologies has extensively advanced the concept of smart home automation. This integration enables the advent of intelligent structures that could enable the security, convenience, and protection of modern-day living spaces. AI algorithms, along with gadget studying and getting to know deep, can analyze information accumulated through IoT gadgets to make knowledgeable choices and automate numerous tasks in the home environments. This paper explores the combination of AI and IoT for smart home automation, discussing the underlying technology, advantages, and challenges. It examines how AI algorithms may be used to system information from IoT sensors to offer insights and enable automatic movements. Additionally, it discusses the ability benefits of this integration, inclusive of electricity utilization, enhanced safety, and progressed best lifestyles for citizens. The paper also addresses some of the demanding situations associated with integrating AI and IoT in smart houses, including privacy issues, interoperability troubles, and the need for sturdy cybersecurity measures. It concludes with a discussion of future studies, guidelines and capability packages of AI and IoT in smart home automation. © 2024 Seventh Sense Research Group®. |
URI: | https://doi.org/10.14445/23488549/IJECE-V11I5P104 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16594 |
ISSN: | 2348-8549 |
Appears in Collections: | Journal Articles |
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IJECE-V11I5P104.pdf | 437.34 kB | Adobe PDF | View/Open |
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