3D Vision-Guided Bore Inspection System

2006 ◽  
Author(s):  
G. Biegelbauer ◽  
M. Vincze
Keyword(s):  
Inspection System ◽  
3D Vision

3D Double-Vision Inspection Based on Structured Light

2003 ◽  
Vol 125 (3) ◽  
pp. 617-623 ◽  
Author(s):  
Guangjun Zhang ◽  
Zhenzhong Wei ◽  
Xin Li
Keyword(s):  
Neural Network ◽  
Rbf Neural Network ◽  
Structured Light ◽  
Inspection System ◽  
Double Vision ◽  
3D Vision ◽  
Vision Inspection ◽  
Blind Area ◽  
World Coordinate System ◽  
Setting Error

3D double-vision inspection is very necessary. It has a larger field of view, and can solve the problem of “blind area” for 3D measurement, as proposed by 3D single-vision inspection. At the beginning of this paper, the principle of structured-light based 3D vision inspection is introduced. Then, a method of gaining calibration points for 3D double-vision inspection system is proposed in detail. In order to gain calibration points with high precision, a double-directional photoelectric aiming device is designed as well, and a method for compensating the position-setting error of the aiming device is described. The coordinates of all calibration points are precisely unified in a world coordinate system. The application of RBF (radial basis function) neural network in establishing the inspection model of structured-light based 3D vision is described in detail. Finally, with the use of the calibration points, the inspection model of 3D double-vision based on RBF neural network is successfully established. The model’s training accuracy is 0.078 mm, and the testing accuracy is 0.084 mm.

Performance of Fold Inspection System

2004 ◽  
Vol 58 (3) ◽  
pp. 321-327
Author(s):  
Akihiro Terada
Keyword(s):  
Inspection System

Advanced Technology of Web Inspection System

2016 ◽  
Vol 70 (10) ◽  
pp. 1014-1016
Author(s):  
Satoshi Suzuki
Keyword(s):  
Advanced Technology ◽  
Inspection System ◽  
Web Inspection
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