Evaluation-oriented façade defects detection using rule-based deep learning method
Sign Up to like & getrecommendations! Published in 2021 at "Automation in Construction"
DOI: 10.1016/j.autcon.2021.103910
Abstract: Abstract Visual evaluation of facade condition plays an important role to ensure the structural health of the whole building. To automatically achieve visual evaluation of facade condition with high accuracy, current studies have applied various… read more here.
Keywords: evaluation; rule based; deep learning; defects detection ... See more keywords
Vision-based defects detection for bridges using transfer learning and convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2019.1680709
Abstract: Abstract Manual visual inspection is customarily used to identify and evaluate service status of bridges. However, current procedures followed by human inspectors demand long inspection time to access bridges. Also, highly relying on subjective or… read more here.
Keywords: transfer learning; vision based; using transfer; convolutional neural ... See more keywords
CNN-based minor fabric defects detection
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Clothing Science and Technology"
DOI: 10.1108/ijcst-11-2019-0177
Abstract: PurposeThe purpose of this paper is to present a novel method for minor fabric defects detection.Design/methodology/approachThis paper proposes a PETM-CNN algorithm. PETM-CNN is designed based on self-similar estimation algorithm and Convolutional Neural Network. The PE… read more here.
Keywords: fabric; fabric defects; paper; defects detection ... See more keywords
Adaptive Deep Learning for High-Speed Railway Catenary Swivel Clevis Defects Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3024216
Abstract: The swivel clevis (SC) is a vulnerable part of the Overhead Catenary System (OCS). Regular inspection using computer vision technology is an effective way to detect SC defects and improve the OCS operation safety. However,… read more here.
Keywords: high speed; speed railway; defects detection; detection ... See more keywords
Ferrite Magnetic Tile Defects Detection Based on Nonsubsampled Contourlet Transform and Texture Feature Measurement
Sign Up to like & getrecommendations! Published in 2020 at "Russian Journal of Nondestructive Testing"
DOI: 10.1134/s1061830920040075
Abstract: Abstract The ferrite magnetic tiles are widely used in industry field. At present, the defects detection in ferrite magnetic tile surfaces is done by manual work. In order to improve the defects detection efficiency and… read more here.
Keywords: magnetic tile; defects detection; nonsubsampled contourlet; ferrite magnetic ... See more keywords
Research on steel rail surface defects detection based on improved YOLOv4 network
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2023.1119896
Abstract: Introduction The surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process. Methods To improve… read more here.
Keywords: rail defects; rail; surface; defects detection ... See more keywords