Soft computing applied to the build of textile defects inspection system

2013 ◽  
Vol 7 (5) ◽  
pp. 373-381 ◽  
Author(s):  
Saad Mohamed Darwish
Keyword(s):  
Soft Computing ◽  
Inspection System ◽  
Defects Inspection

Pipe morphology defects inspection system with active stereo omnidirectional vision sensor

2016 ◽  
Vol 45 (11) ◽  
pp. 1117005
Author(s):  
汤一平 Tang Yiping ◽  
鲁少辉 Lu Shaohui ◽  
吴 挺 Wu Ting ◽  
韩国栋 Han Guodong
Keyword(s):  
Inspection System ◽  
Omnidirectional Vision ◽  
Vision Sensor ◽  
Defects Inspection ◽  
Active Stereo

Pipe morphology defects inspection system with active stereo omnidirectional vision sensor

2016 ◽  
Vol 45 (11) ◽  
pp. 1117005
Author(s):  
汤一平 Tang Yiping ◽  
鲁少辉 Lu Shaohui ◽  
吴 挺 Wu Ting ◽  
韩国栋 Han Guodong
Keyword(s):  
Inspection System ◽  
Omnidirectional Vision ◽  
Vision Sensor ◽  
Defects Inspection ◽  
Active Stereo

Robust Fabric Defects Inspection System Using Deep Learning Architecture

2021 ◽  
Vol 50 (1) ◽  
pp. 20200778
Author(s):  
T. Shanthi ◽  
M. E. Paramasivam ◽  
C. Prakash ◽  
K. Manju ◽  
Eldho Paul ◽  
...  
Keyword(s):  
Deep Learning ◽  
Inspection System ◽  
Defects Inspection

scholarly journals A Deep-Learning-based 3D Defect Quantitative Inspection System in CC Products Surface

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 980 ◽  
Author(s):  
Liming Zhao ◽  
Fangfang Li ◽  
Yi Zhang ◽  
Xiaodong Xu ◽  
Hong Xiao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Surface Region ◽  
Inspection System ◽  
Scanning System ◽  
Inspection Method ◽  
Scanning Method ◽  
Image Scanning ◽  
Defects Inspection ◽  
Inspection Strategy ◽  
Defects Classification

To create an intelligent surface region of interests (ROI) 3D quantitative inspection strategy a reality in the continuous casting (CC) production line, an improved 3D laser image scanning system (3D-LDS) was established based on binocular imaging and deep-learning techniques. In 3D-LDS, firstly, to meet the requirements of the industrial application, the CCD laser image scanning method was optimized in high-temperature experiments and secondly, we proposed a novel region proposal method based on 3D ROI initial depth location for effectively suppressing redundant candidate bounding boxes generated by pseudo-defects in a real-time inspection process. Thirdly, a novel two-step defects inspection strategy was presented by devising a fusion deep CNN model which combined fully connected networks (for defects classification/recognition) and fully convolutional networks (for defects delineation). The 3D-LDS’ dichotomous inspection method of defects classification and delineation processes are helpful in understanding and addressing challenges for defects inspection in CC product surfaces. The applicability of the presented methods is mainly tied to the surface quality inspection for slab, strip and billet products.

Sign in / Sign up

Export Citation Format

Share Document