Automated crack detection in civil ... have demonstrated the efficacy of deep learning architectures in detecting and characterising cracks in concrete structures. Notably, one investigation ...

Ebrahimkhanlou originally developed the process for using graph features to create a kind of “fingerprint” for each set of cracks ... machine learning program extract graph features from a set of ...

Although several vision-based crack detection approaches ... The Purdue research team also is using deep learning to detect corrosion in photographs of metal surfaces, a technology that might be used ...

Large concrete ... detection of the configurations and defects in concrete," elaborates Prof. Hosoya. In conclusion, the use of LIP shock waves to assess cracks in concrete structures is a safe ...

Past work has explored various methods for concrete crack detection, from traditional image processing techniques to advanced machine learning (ML) and deep learning (DL) approaches. Early methods ...

Reported in the journal Automation in Construction, their multi-scale system combines computer vision with a deep-learning algorithm to ... Training the algorithms on datasets of concrete structure ...

A recent article published in Buildings demonstrated the use of a deep learning-based intelligent detection algorithm to detect surface diseases in concrete ... can detect cracks and exposed ...