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IMPLEMENTATION OF AUGMENTED REALITY IN ONLINE FURNITURE STORE BY USING SLAM ALGORITHM

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dc.contributor.author Daffandra, Althafian Rahmat
dc.date.accessioned 2025-06-02T02:25:13Z
dc.date.available 2025-06-02T02:25:13Z
dc.date.issued 2024
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/12896
dc.description.abstract In the digital age, e-commerce has become an indispensable part of daily life, including the furniture industry. One of the main challenges of selling furniture online is providing consumers with a full visual experience so they can imagine how the product will look and fit in their space. This project provides a catalog of furniture products and integrates Augmented Reality technology by utilizing the SLAM algorithm, which allows users to preview furniture in real-world context with high precision and in real-time. The SLAM algorithm allows for simultaneous mapping and localization, allowing 3D furniture models to be accurately placed in the user's space, even when the user is moving. The application development process includes several key phases such as user requirement analysis, user interface (UI) design, back-end and front-end development, integration of Augmented Reality modules with SLAM, etc. The Augmented Reality technology used is compatible with the latest mobile platforms such as Augmented RealityKit for iOS and Augmented RealityCore for Android, which support SLAM functionality. The main objective of utilizing Augmented Reality and SLAM algorithms to create an application for an online furniture store is to provide a more interactive and accurate user experience, allowing users to feel more confident in their decisions since they can see the product visualization directly and accurately within their own space. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technologies;001202000056
dc.title IMPLEMENTATION OF AUGMENTED REALITY IN ONLINE FURNITURE STORE BY USING SLAM ALGORITHM en_US
dc.type Thesis en_US


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