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  • https://doi.org/10.70818/ijarhs.v03i02.2024.0241109Copy DOI Icon

Enhancing Interior Design through Augmented Reality: Implementing 3D Furniture Based on Android

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Abstract

The primary objective of this application is to enhance interior design by including augmented reality (AR) technology so that consumers may visualize furniture in their actual environment before they buy it. Using realistic, scalable 3D representations of furniture products inside an in terior space, the application intends to be user-friendly and intuitive, thus improving consumer decision-making and satisfaction using Android platforms. This application creates 3D furniture models in real-time within a user's environment, leveraging the broad accessibility and compati bility with ARCore of the Android operating system. Emphasizing iterative testing and im provement, the development process applies an agile methodology. Users of the program can choose furniture from a large digital inventory, view objects in augmented reality, and change their size and orientation to suit their real space. The program uses ARCore for spatial and envi ronmental awareness and Unity3D for graphic rendering. With great accuracy and stability, the applied application effectively showed its potential to show a large spectrum of 3D furniture models inside different indoor surroundings. With reported increases in satisfaction and a dropin return rates, user testing demonstrated notable gains in users' capacity to make wise furniture se lections. The program guarantees that augmented reality offers genuine benefits to consumers and stores, thereby greatly improving the interior design process. The tool helps to lower pur chase anxiety and increase customer confidence by providing a reasonable picture of how possi ble furniture purchases would look and fit within a user's real area. Future projects will concen trate on growing the furniture inventory, enhancing user interface design, and including cutting edge technologies, including interior design advice based on machine learning algorithms to cus tomize the user experience better.

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