Application of Artificial Intelligence in Graphical Discrimination of Structural Cracks

For the detection of structural cracks, engineers need to conduct measurements on-site. However, structural cracks are widely distributed and are not easy to access for measurement. Therefore, photography is commonly used for crack detection. Although the crack is observed in the photos, its location and size need to be clearly defined. Artificial intelligence (AI) and databases are used in graphic processing methods to perform structural crack analysis, in which the Python 3.12 program is used as the main tool. Using the Python program, an AI image analysis program was developed for crack analysis and evaluation. ChatGPT 3.5 was also used for the analysis of crack length and width. Using AI considerably increased credibility in detecting and measuring structural cracks.

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Published
2025-08-28
DOI
https://doi.org/10.3390/engproc2025108004
Citations
1
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.95
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article

Application of Artificial Intelligence in Graphical Discrimination of Structural Cracks

Ren-Jwo Tsay
1 citations
Infrastructure Maintenance and Monitoring
0.95
article

Application of Artificial Intelligence in Graphical Discrimination of Structural Cracks

Ren-Jwo Tsay
article en
1 citations

Abstract

For the detection of structural cracks, engineers need to conduct measurements on-site. However, structural cracks are widely distributed and are not easy to access for measurement. Therefore, photography is commonly used for crack detection. Although the crack is observed in the photos, its location and size need to be clearly defined. Artificial intelligence (AI) and databases are used in graphic processing methods to perform structural crack analysis, in which the Python 3.12 program is used as the main tool. Using the Python program, an AI image analysis program was developed for crack analysis and evaluation. ChatGPT 3.5 was also used for the analysis of crack length and width. Using AI considerably increased credibility in detecting and measuring structural cracks.

Vanung University (TW)
Reduced inequalities
Openalex Percentile: Top 22%
Infrastructure Maintenance and Monitoring
0.95
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Application of Artificial Intelligence in Graphical Discrimination of Structural Cracks — Ren-Jwo Tsay · (2025) | TGRS Research Map | TGRS