A review on recent advances in vision-based defect recognition towards industrial intelligence
In modern manufacturing, vision-based defect recognition is an essential technology to
guarantee product quality, and it plays an important role in industrial intelligence. With the …
guarantee product quality, and it plays an important role in industrial intelligence. With the …
Fabric defect detection based on completed local quartet patterns and majority decision algorithm
Z Pourkaramdel, S Fekri-Ershad, L Nanni - Expert Systems with …, 2022 - Elsevier
Visual inspection is a main stage of quality control process in many applications. Surface
defect inspection plays an important role in fabric textile quality control systems. Each type of …
defect inspection plays an important role in fabric textile quality control systems. Each type of …
Automated visual defect classification for flat steel surface: a survey
Q Luo, X Fang, J Su, J Zhou, B Zhou… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
For a typical surface automated visual inspection (AVI) instrument of planar materials, defect
classification is an indispensable part after defect detection, which acts as a crucial …
classification is an indispensable part after defect detection, which acts as a crucial …
Surface defects detection and identification of lithium battery pole piece based on multi-feature fusion and PSO-SVM
C Xu, L Li, J Li, C Wen - Ieee Access, 2021 - ieeexplore.ieee.org
In order to realize the automatic detection of surface defects of lithium battery pole piece, a
method for detection and identification of surface defects of lithium battery pole piece based …
method for detection and identification of surface defects of lithium battery pole piece based …
A lightweight feature fusion single shot multibox detector for garbage detection
W Ma, X Wang, J Yu - IEEE Access, 2020 - ieeexplore.ieee.org
To solve the problems of a poor manual garbage sorting environment, including heavy tasks
and low sorting efficiency, we propose the Lightweight Feature Fusion Single Shot Multibox …
and low sorting efficiency, we propose the Lightweight Feature Fusion Single Shot Multibox …
Enhancing pavement health assessment: An attention-based approach for accurate crack detection, measurement, and mapping
Vehicle-based crack detection can serve as a highly effective method for assessing
pavement damage. This paper proposes an automated crack detection, measurement and …
pavement damage. This paper proposes an automated crack detection, measurement and …
Segmentation of track surface defects based on machine vision and neural networks
H Yang, Y Wang, J Hu, J He, Z Yao… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Local failure of rail track commonly grow from surface defects. Hence, timely detection of
surface defects helps to identify potential hazards on the track and reduce the occurrence of …
surface defects helps to identify potential hazards on the track and reduce the occurrence of …
Visual defect inspection of metal part surface via deformable convolution and concatenate feature pyramid neural networks
Z Liu, B Yang, G Duan, J Tan - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Visual surface defect inspection for metal part has become a rapidly developing research
field within the last decade. But due to the variances of defect shapes and scales, the …
field within the last decade. But due to the variances of defect shapes and scales, the …
A survey on unsupervised anomaly detection algorithms for industrial images
In line with the development of Industry 4.0, surface defect detection/anomaly detection
becomes a topical subject in the industry field. Improving efficiency as well as saving labor …
becomes a topical subject in the industry field. Improving efficiency as well as saving labor …
Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic
During the phase of periodic asphalt pavement survey, patched and unpatched potholes
need to be accurately detected. This study proposes and verifies a computer vision‐based …
need to be accurately detected. This study proposes and verifies a computer vision‐based …