A teaching-free welding method based on laser visual sensing system in robotic GMAW

2020 ◽  
Vol 109 (5-6) ◽  
pp. 1755-1774
Author(s):  
Zhen Hou ◽  
Yanling Xu ◽  
Runquan Xiao ◽  
Shanben Chen
Keyword(s):  
Welding Method ◽  
Sensing System ◽  
Visual Sensing ◽  
Robotic Gmaw

Visual Sensing System for Thin Plate Welding Based on Rotund Facular Laser

2012 ◽  
Vol 538-541 ◽  
pp. 1498-1501
Author(s):  
Wang Ping Gu ◽  
Zhen Yu Xiong ◽  
Pin Liu
Keyword(s):  
Thin Plate ◽  
Visual Image ◽  
Sensor System ◽  
Vision Sensor ◽  
Butt Welding ◽  
Vision Sensing ◽  
Sensing System ◽  
Visual Sensing ◽  
Processing Software ◽  
Image Processing Software

In order to solve the problem of thin plate butt-welded tracking, a welding vision sensing system with a rotund facular laser has been designed. In the vision sense system, each parameter of the interior part has been designed by a variety of experiments. The designed image processing software can precisely identify the position of the joint, based on the optimal designed vision sensor system. The thin plate butt welding experiments have been taken with the designed sensing device. The experimental results show that the vision sensor system with a suitable auxiliary illuminant can obtain satisfying visual image information in stainless thin plate butt-welded.

scholarly journals Development of a High-speed Visual Sensing System for Robotic Seam-Tracking in Automobile Body Sealing.

1998 ◽  
Vol 64 (628) ◽  
pp. 4737-4744 ◽  
Author(s):  
Takao KAKIZAKI ◽  
Yoshimasa YANAGIHARA ◽  
Kenichi ARAKAWA ◽  
Akira UMENO ◽  
Kenji MOCHIZUKI ◽  
...  
Keyword(s):  
High Speed ◽  
Seam Tracking ◽  
Sensing System ◽  
Visual Sensing ◽  
Automobile Body

Self-imaging calibration of a visual sensing system with pyramidal mirrors

2005 ◽  
Vol 44 (6) ◽  
pp. 063002
Author(s):  
J. Y. Kim
Keyword(s):  
Sensing System ◽  
Visual Sensing

Vision-Based Measurement of Part Deformation and Misalignment for Deformable Cylindrical Peg-in-Hole Tasks

2005 ◽  
Vol 219 (6) ◽  
pp. 589-606 ◽  
Author(s):  
J. Y. Kim
Keyword(s):  
Success Rate ◽  
Measurement Accuracy ◽  
Arbitrary Point ◽  
Image Plane ◽  
Experimental Results ◽  
Sensing System ◽  
Visual Sensing ◽  
Standard Resolution ◽  
Series Of Experiments ◽  
Assembly Operations

For successful assembly of deformable parts, information about their deformation and possible misalignments between the holes and their respective mating parts is essential. Such information can be mainly acquired from visual sensors. In this paper, part deformation and misalignment in cylindrical peg-in-hole tasks are measured by using a visual sensing system. First, the configuration and the specifications of the system, such as resolution, are described. Next, a series of experiments to measure the position of an arbitrary point are performed and its measurement accuracy is investigated. Then, an algorithm to estimate the centre-line and deformation of a cylindrical peg and an algorithm to divide and recognize a peg and a hole separately in an image are presented. On the basis of these algorithms, a series of experiments to measure part shape as part deformation are performed. Finally, an algorithm to select two views from the four on the image plane and an algorithm to estimate the centre of an occluded hole are presented. On the basis of these algorithms, a series of experiments to measure misalignment are performed. Experimental results show that the errors in measuring part deformation are approximately less than five or seven times the standard resolution of the system, and the errors in measuring misalignment are less than three or four times the standard resolution. Thereby, the system and the proposed algorithms are effective in measuring part deformation and misalignment and will dramatically increase the success rate in deformable assembly operations.

Traffisense: A smart integrated visual sensing system for traffic monitoring

2015 ◽  
Author(s):  
Reda ElHakim ◽  
Moataz Abdelwahab ◽  
Abdelrahman Eldesokey ◽  
Mohamed ElHelw
Keyword(s):  
Traffic Monitoring ◽  
Sensing System ◽  
Visual Sensing
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