Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management

Kessel Okinga Koumou, Omowunmi Isafiade

2025

Abstract

This study addresses the challenges of manual implementation of 3D models in AR and the scalability limitations of AR applications in asset management. It proposes a framework for the dynamic integration of 3D models into the AR environment, incorporating AI to enhance textual content and personalized user engagement. The study presents a system architecture comprising three layers: (i) The bottom layer, which handles the interactive capabilities of 3D models, including collision detection, mesh manipulation, dataset preparation, and model training; (ii) The middle layer, which facilitates communication between the web asset management platform and mobile application developed; and (iii) The topmost layer, which focuses on user interaction with the 3D models via the web platform. To evaluate the framework, two 3D models (microscope and centrifuge) were used as case studies for dynamic integration. The AI component was trained using a dataset based on the microscope information obtained with web scrapping. The model was trained using both Standard LSTM and BiLSTM architectures, with the dataset split into 60% for training, 20% for testing, and 20% for validation, over 50 epochs with a batch size of 64. The BiLSTM outperformed the Standard LSTM, achieving a test accuracy of 94.35% and a test loss of 0.51. This research is significant in revolutionizing asset management and promoting personalized content for quality education through technological innovation.

Paper Citation

in Harvard Style

Koumou K. and Isafiade O. (2025). Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 424-435. DOI: 10.5220/0013288800003929

in Bibtex Style

@conference{iceis25,
author={Kessel Koumou and Omowunmi Isafiade},
title={Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={424-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013288800003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Dynamic Integration of 3D Augmented Reality Features with AI-Based Contextual and Personalized Overlays in Asset Management
SN - 978-989-758-749-8
AU - Koumou K.
AU - Isafiade O.
PY - 2025
SP - 424
EP - 435
DO - 10.5220/0013288800003929
PB - SciTePress