An IoT Enabled Smart Home Automation Using Augmented Reality in Computer Vision

A, Senthil G. and B, Divya and Asha, R M and P, Thara and Prabha, R and R, Rajesh Kanna. (2023) An IoT Enabled Smart Home Automation Using Augmented Reality in Computer Vision. In: UNSPECIFIED.

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Abstract

Home Automation (HR) is the process of using technology to automate the various systems and appliances within a home. This technology is becoming more popular as it allows for greater convenience, efficiency, and safety within a household. In recent years, the introduction of Augmented Reality (AR) and an Internet of Things (IoT) technology enabled the development of even more innovative home automation solutions. This research article an overview of the advanced methodology of smart home automation enabled by AR and IoT. First, the article discusses the mechanisms and components that enable AR and IoT to be used for home automation. Next, the paper considers the potential applications of AR and IoT in home automation, such as home security, energy efficiency, and convenience. Furthermore, the paper reviews the challenges and opportunities associated with the use of AR and IoT in home automation. Finally, the paper provides some conclusions and proposals for further research. Overall, this paper demonstrates that the use of AR and IoT in home automation has the potential to revolutionize the way people live in their homes. The combination of AR and IoT in home automation also enhances safety and security, such as monitoring the home through IoT-enabled security cameras and smart locks and identifying potential security threats through AR. The integration of AR and IoT in home automation is transforming the way people live and work, making homes smarter, more efficient, and safer. This research work has proposed and implemented an IoT module to control home appliances using AR applications with the help of virtual buttons. © 2024 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Computer Vision and Pattern Recognition
Divisions: Arts and Science > School of Arts and Science, Chennai > Computer Science
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 01 Dec 2025 05:32
URI: https://vmuir.mosys.org/id/eprint/2490

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