Title: Image analysis of a museum intelligent digital navigation system based on a virtual 3D deep neural network

Authors: Fanyu Meng

Addresses: School of Art, Zhejiang Yuexiu University, Shaoxing, 312000, Zhejiang, China

Abstract: The aim of this study is to develop an intelligent digital tour guide system that utilises virtual 3D deep neural network (DNN) technology to improve the visiting experience and cultural dissemination of museums, providing visitors with more information and interactive experiences. This study conducted a questionnaire survey on 20 tourists using an intelligent digital tour guide system based on virtual 3D DNN technology, and compared the performance of the system designed in the work with traditional systems 1 and 2. The research results indicate that the designed system outperforms traditional systems 1 and 2 in terms of information entropy, average gradient, signal-to-noise ratio (SNR), and equivalent coefficient. For example, in terms of information entropy, the system designed in this paper has a value of 6.974 compared to 5.127 and 5.368 in conventional systems 1 and 2, respectively.

Keywords: virtual 3D technology; DNN; deep neural network; image analysis; smart museum; digital tour guide system.

DOI: 10.1504/IJDS.2024.142823

International Journal of Data Science, 2024 Vol.9 No.3/4, pp.239 - 255

Received: 13 May 2024
Accepted: 03 Jul 2024
Published online: 23 Nov 2024 *

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