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October 17, 2025

AI for Automatic Defects Detection on Large Civil Works: Our Adventure from the Database Creation to a First Efficient Pipeline

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Authors

PSPierre StéphanPLPAULINE LAVIRON-PETITSBSELIM BEN-ABDALLAH

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Overview

Development of an AI-based tool enhances defects detection in civil works, suggesting greater efficiency.

Key Points

  • Automated analysis significantly reduces the time and cost involved in identifying structural defects.
  • The project created a unique training database and employed neural networks for effective defect detection.
  • State-of-the-art image processing techniques were utilized, including data augmentation for improved model performance.
  • Initial results show promising feedback on the efficiency of the automated pipeline for defect analysis.

Cite This Study

Stéphan et al. (2025) studied this question.

synapsesocial.com/papers/68f199ccde32064e504dd2a4https://doi.org/10.12783/shm2025/37368
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