Analysis of digital technologies use for automated identification of pathologies in construction

Authors

DOI:

https://doi.org/10.46421/entac.v19i1.2162

Keywords:

Automated inspection, Digital technologies, Drone, Artificial Intelligence (AI), Systematic Literature Review (SLR)

Abstract

This study aims to identify the leading digital technologies used for automated inspection of pathologies in construction elements and how the information obtained can support managerial decision-making. The proposed research method was a systematic literature review. Twenty-six articles were analyzed in the Scopus, Web of Science, and IEEE Xplore databases. As a result, there was an opportunity for research for improvement and robustness in artificial intelligence algorithms and the need to incorporate this information during the execution stage, supporting decision-making in the quality control process.

Author Biographies

Alisson Souza Silva, Federal University of Bahia

Civil Engineer from the Faculty of Law of Alta Floresta. Master's student in Civil Engineering at the Graduate Program in Civil Engineering at the Federal University of Bahia (Salvador - BA, Brazil).

Dayana Bastos Costa, Federal Universitu of Bahia

Ph.D. in Civil Engineering from the Federal University of Rio Grande do Sul (UFRGS). Associate Professor III of the Department of Construction and Structures of the Polytechnic School of the Federal University of Bahia and Permanent Professor of the Graduate Program in Civil Engineering (Master's and Doctorate).

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Published

2022-11-07

How to Cite

SILVA, Alisson Souza; COSTA, Dayana Bastos. Analysis of digital technologies use for automated identification of pathologies in construction. In: NATIONAL MEETING OF BUILT ENVIRONMENT TECHNOLOGY, 19., 2022. Anais [...]. Porto Alegre: ANTAC, 2022. p. 1–14. DOI: 10.46421/entac.v19i1.2162. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/2162. Acesso em: 5 nov. 2024.

Issue

Section

(Inativa) Tecnologia da Informação e Comunicação

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