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Using augmented reality and deep learning to enhance Taxila Museum experience

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Abstract

Museums have adapted their traditional ways of providing services with the advent of novel digital technologies to match up with the pace and growing needs of current industry revolution. Mixed Reality has revitalized interpretation of numerous domains by offering immersive experiences in digital and real world. In the proposed study, an attempt was made to enrich user’s museum experience with relevant multimedia information and for building a better connection with the artifacts with in Taxila Museum in Pakistan, which has beautifully preserved the Gandhara civilization. The proposed solution is an Augmented Reality (AR)-based smartphone application which recognizes artifacts using Deep Learning in real time and retrieve supportive multimedia information for the visitors. To provide user with exact content, convolutional neural networks (CNN) will be applied to correctly recognize artifacts. The significance of proposed application is compared with traditional human guided or free user tours through user-centric questionnaire-based survey. The evaluation is carefully performed using relevant evaluation models including Museum Experience Scale (MES) and triptych model of interactivity.  The findings of the study are discussed and assessed comprehensively using statistical methods to highlight its significance.

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Acknowledgements

This work was supported in part by King Saud University, Saudi Arabia, through research supporting project number RSP-2020/184; in part by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020; and in part by Brazilian National Council for Scientific and Technological Development (CNPq) via Grant No. 309335/2017-5.

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Authors and Affiliations

  1. Department of Information Technology, The University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan

    Mudassar Ali Khan, Sabahat Israr & Ikram Ud Din

  2. Department of Art Education, College of Education, King Saud University, Riyadh, 11445, Saudi Arabia

    Abeer S Almogren

  3. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11633, Saudi Arabia

    Ahmad Almogren

  4. Federal University of Piauí (UFPI), Teresina, PI, Brazil

    Joel J. P. C. Rodrigues

  5. Instituto de Telecomunicações, Covilhã, Portugal

    Joel J. P. C. Rodrigues

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  1. Mudassar Ali Khan
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  2. Sabahat Israr
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  3. Abeer S Almogren
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  4. Ikram Ud Din
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  5. Ahmad Almogren
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  6. Joel J. P. C. Rodrigues
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Correspondence to Ikram Ud Din.

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Khan, M.A., Israr, S., S Almogren, A. et al. Using augmented reality and deep learning to enhance Taxila Museum experience. J Real-Time Image Proc 18, 321–332 (2021). https://doi.org/10.1007/s11554-020-01038-y

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  • DOI: https://doi.org/10.1007/s11554-020-01038-y

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