Smart Check 3D: An Industrial Inspection System Combining 3D Vision with Automatic Planning of Inspection Viewpoints

2015 ◽  
pp. 377-392
Author(s):  
Nicola Carlon ◽  
Nicolò Boscolo ◽  
Stefano Tonello ◽  
Emanuele Menegatti
Keyword(s):  
Inspection System ◽  
3D Vision ◽  
Industrial Inspection ◽  
Automatic Planning

A Parallel Genetic Algorithm for Optimizing an Industrial Inspection System

2013 ◽  
Vol 11 (6) ◽  
pp. 1338-1343 ◽  
Author(s):  
Francisco Gonzalez Bulnes ◽  
Ruben Usamentiaga ◽  
Daniel Fernando Garcia ◽  
Julio Molleda
Keyword(s):  
Genetic Algorithm ◽  
Inspection System ◽  
Parallel Genetic Algorithm ◽  
Industrial Inspection

ROSI: A Robotic System for Harsh Outdoor Industrial Inspection - System Design and Applications

2021 ◽  
Vol 103 (2) ◽  
Author(s):  
Filipe Rocha ◽  
Gabriel Garcia ◽  
Raphael F. S. Pereira ◽  
Henrique D. Faria ◽  
Thales H. Silva ◽  
...  
Keyword(s):  
System Design ◽  
Robotic System ◽  
Inspection System ◽  
Industrial Inspection

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.

MAQVIS: a low-cost flexible industrial-inspection-system

1995 ◽  
Author(s):  
Roger Davies ◽  
Fernando D. Carvalho ◽  
Jose C. A. Freitas ◽  
Fernando C. Rodrigues
Keyword(s):  
Low Cost ◽  
Inspection System ◽  
Industrial Inspection
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