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Web platform for building roof maintenance inspection using UAS and artificial intelligence

Luciano de Brito Staffa Junior (Department of Structural and Construction Engineering, Federal University of Bahia, Salvador, Brazil)
Dayana Bastos Costa (Department of Structural and Construction Engineering, Federal University of Bahia, Salvador, Brazil)
João Lucas Torres Nogueira (Department of Structural and Construction Engineering, Federal University of Bahia, Salvador, Brazil)
Alisson Souza Silva (Department of Structural and Construction Engineering, Federal University of Bahia, Salvador, Brazil)

International Journal of Building Pathology and Adaptation

ISSN: 2398-4708

Article publication date: 23 November 2023

83

Abstract

Purpose

This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.

Design/methodology/approach

This study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.

Findings

The results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.

Originality/value

This study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.

Keywords

Acknowledgements

This work was supported by the Ministry of Education of Brazil through CAPES (Agency for Support and Evaluation of Graduate Education), and by the Ministry of Science, Technology, Innovation, and Communication of Brazil through CNPq (National Council for Scientific and Technological Development) (Grant Number 421262/2018-4). The authors would also like to thank the company for the opportunity to develop this investigation.

Citation

Staffa Junior, L.d.B., Bastos Costa, D., Torres Nogueira, J.L. and Silva, A.S. (2023), "Web platform for building roof maintenance inspection using UAS and artificial intelligence", International Journal of Building Pathology and Adaptation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJBPA-12-2022-0186

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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