Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …

Cracking in concrete structures affects performance and is a major durability problem.
Cracks must be detected and repaired in time in order to maintain the reliability and …

Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …

This paper proposes a customized convolutional neural network for crack detection in
concrete structures. The proposed method is compared to four existing deep learning …

Visual inspection has been the most widely used technique for monitoring concrete
structures in service. Inspectors visually evaluate defects based on experience, skill, and …

In general, several conservative techniques are available for detecting cracks in concrete
bridges but they have significant limitations, including low accuracy and efficiency. Due to …

Surface cracks on the concrete structures are a key indicator of structural safety and
degradation. To ensure the structural health and reliability of the buildings, frequent structure …

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

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 …

The damage investigation and inspection methods for infrastructures performed in small-
scale (type III) facilities usually involve a visual examination by an inspector using surveying …