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Enhancing Museum Engagement through AI-Powered Augmented Reality: Real-Time Artwork Recognition and Contextual Description via AR Glasses

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Author :  Dazhou Feng1 and Tyler Boulom2,

Affiliation :  1USA, 2California State Polytechnic University

Country :  USA

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  15, 19, October, 2025

Abstract :


Visitors often struggle to fully understand and appreciate museum artworks due to limited contextual information. This project proposes AR glasses that scan artworks and display real-time, AI-generated descriptions, providing historical background, artistic techniques, and symbolic meanings [1]. The system integrates three core components: image capture, AI-based classification and description, and real-time on-screen display. Key challenges addressed include accurate recognition under variable conditions, personalized content delivery, and accessibility for diverse users. Experiments measured recognition accuracy and system latency, identifying areas for improvement such as low-light performance and network optimization. Comparisons with prior methodologies show advancements in portability, adaptability, and real-time personalization [2].

Keyword :  Augmented Reality (AR), Artificial Intelligence (AI), Museum Learning, Artwork Recognition

Journal/ Proceedings Name :  CS&IT

URL :  https://aircconline.com/csit/abstract/v15n19/csit151904.html

User Name : alex
Posted 24-09-2026 on 15:27:36 AEDT



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