Paper Info
Title
Weld seam detection using computer vision for robotic Arc Welding
Abstract
Visual identification of narrow welding seams is difficult to achieve in robotic systems especially for ferrous materials. This paper describes an algorithm for detecting the weld seam in a butt-joint configuration for robotic Arc Welding of mild steel materials using computer vision. The proposed method can automatically subtract the background from the images obtained from a robot mounted camera system. Reliable seam identification can then be achieved for welding of ferrous materials. Experimental results have shown that this method is capable of detecting both straight and curved welding seams without prior knowledge of the location of the seam. It is shown that this method is robust to be used in an industrial setting.
Year
DOI
Venue
2012
10.1109/CoASE.2012.6386339
Automation Science and Engineering
Keywords
Field
DocType
arc welding,butt welding,cameras,carbon steel,iron alloys,production engineering computing,robot vision,robotic welding,welds,butt-joint configuration,computer vision,curved welding seams,ferrous materials,mild steel materials,narrow welding seams,reliable seam identification,robot mounted camera system,robotic arc welding,robotic systems,straight welding seams,visual identification,weld seam detection,gray scale,welding,image segmentation
Butt welding,Computer vision,Visual identification,Image segmentation,Artificial intelligence,Arc welding,Engineering,Robot,Robot welding,Grayscale,Welding
Conference
ISSN
ISBN
Citations 
2161-8070
978-1-4673-0429-0
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Mitchell Dinham181.68
Gu Fang216216.95