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2022 | OriginalPaper | Chapter

1. Artificial Intelligence for Heritage Conservation: A Case Study of Automatic Visual Inspection System

Authors : Lukman E. Mansuri, D. A. Patel

Published in: Current State of Art in Artificial Intelligence and Ubiquitous Cities

Publisher: Springer Nature Singapore

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Abstract

Heritage plays a fundamental role in maintaining the identity of the city. The character and historical significance of any city is portrayed through its built and cultural heritage. Heritage is the essence of society, and it should be conserved and preserved for future generations. The latest technologies in this digital era become a key governing factor for the conservation and preservation of heritage. Artificial intelligence (AI) based automation is the emerging technology for the conservation and preservation of heritage. The application of AI in heritage conservation is divided into four clusters, (i) AI for visual inspection and structural health monitoring, (ii) AI for digital modeling, (iii) AI for intangible heritage, and (iv) AI for cultural heritage. This chapter summarizes various techniques and algorithms of AI used for a variety of applications in heritage conservation. The chapter also outlines some of the notable developments of AI for heritage conservation and presents the case study of the development of automatic visual inspection system for heritage structures. Lastly, the chapter concludes with the framework of AI for heritage conservation in ubiquitous cities and the way forward.

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Metadata
Title
Artificial Intelligence for Heritage Conservation: A Case Study of Automatic Visual Inspection System
Authors
Lukman E. Mansuri
D. A. Patel
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Current State of Art in Artificial Intelligence and Ubiquitous Cities

Print ISBN: 978-981-19-0736-4

Electronic ISBN: 978-981-19-0737-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-0737-1_1