Crack is one of important damages on real concrete surface. The visual inspection that
depends on inspectors, a primary method to detect cracks, is laborious and time-consuming …

Crack detection is important for the inspection and evaluation during the maintenance of
concrete structures. However, conventional image‐based methods need extract crack …

Crack detection in concrete structures is an important task in the inspection of buildings to
ensure their safety and serviceability. Previous studies relating to crack detection via image …

Automatic crack detection with the least amount of workforce has become a crucial task in
the inspection and evaluation of the performances of concrete structure in civil engineering …

Crack formation is one of the first indicators of degradation of the concrete structure.
Therefore, they must be detected early to take the necessary precautions to avoid further …

For the first time, U-Net is adopted to detect the concrete cracks in the present study. Focal
loss function is selected as the evaluation function, and the Adam algorithm is applied for …

At present, a number of computer vision-based crack detection techniques have been
developed to efficiently inspect and manage a large number of structures. However, these …

Manual inspection of cracks on concrete surfaces requires wholesome knowledge and
depends entirely on the expertise and capabilities of the inspector. This study proposes the …

This study proposed a semi-automated system for crack detection and quantification, based
on the combination of a trained convolutional neural network (CNN) and a developed …

Detection of cracks at the earliest stage is crucial, as these are the primary indicators of
infrastructure's health. Manual inspection is often carried out for infrastructure inspection …