Deep learning–based autonomous concrete crack evaluation through hybrid image scanning
This article proposes a deep learning–based autonomous concrete crack detection
technique using hybrid images. The hybrid images combining vision and infrared …
technique using hybrid images. The hybrid images combining vision and infrared …
Classification and quantification of cracks in concrete structures using deep learning image-based techniques
Visual inspection has been the most widely used technique for monitoring concrete
structures in service. Inspectors visually evaluate defects based on experience, skill, and …
structures in service. Inspectors visually evaluate defects based on experience, skill, and …
Imaging-based crack detection on concrete surfaces using You Only Look Once network
The detection of cracks in concrete structures is a pivotal aspect in assessing structural
robustness. Current inspection methods are subjective, relying on the inspector's experience …
robustness. Current inspection methods are subjective, relying on the inspector's experience …
Image‐based concrete crack assessment using mask and region‐based convolutional neural network
Recently, many countries have investigated replacing conventional visual inspection with
computer‐vision–based inspection to enhance the efficiency, speed, and objectivity of …
computer‐vision–based inspection to enhance the efficiency, speed, and objectivity of …
[HTML][HTML] Automated vision-based crack detection on concrete surfaces using deep learning
RS Rajadurai, ST Kang - Applied Sciences, 2021 - mdpi.com
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 …
Cracks must be detected and repaired in time in order to maintain the reliability and …
[HTML][HTML] Automated vision-based detection of cracks on concrete surfaces using a deep learning technique
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 …
developed to efficiently inspect and manage a large number of structures. However, these …
Autonomous concrete crack detection using deep fully convolutional neural network
CV Dung - Automation in Construction, 2019 - Elsevier
Crack detection is a critical task in monitoring and inspection of civil engineering structures.
Image classification and bounding box approaches have been proposed in existing vision …
Image classification and bounding box approaches have been proposed in existing vision …
[HTML][HTML] Crack detection in concrete structures using deep learning
VP Golding, Z Gharineiat, HS Munawar, F Ullah - Sustainability, 2022 - mdpi.com
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 …
to maintain its reliability and structural health. Visual signs of cracks and depressions …
[HTML][HTML] Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder–decoder network
MMM Islam, JM Kim - Sensors, 2019 - mdpi.com
The visual inspection of massive civil infrastructure is a common trend for maintaining its
reliability and structural health. However, this procedure, which uses human inspectors …
reliability and structural health. However, this procedure, which uses human inspectors …
[HTML][HTML] A comparative study on crack detection in concrete walls using transfer learning techniques
RE Philip, AD Andrushia, A Nammalvar… - Journal of Composites …, 2023 - mdpi.com
Structural cracks have serious repercussions on the safety, adaptability, and longevity of
structures. Therefore, assessing cracks is an important parameter when evaluating the …
structures. Therefore, assessing cracks is an important parameter when evaluating the …