Authors:
Cristiano Rafael Steffens
;
Bruno Quaresma Leonardo
;
Sidnei Carlos da Silva Filho
;
Valquiria Huttner
;
Vagner Santos da Rosa
and
Silvia Silva da Costa Botelho
Affiliation:
Federal University of Rio Grande - FURG, Brazil
Keyword(s):
Robotics, Image Processing, Automation, Welding Robot, Multi-exposure Composition.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Document Imaging in Business
;
Features Extraction
;
Geometry and Modeling
;
Image and Video Analysis
;
Image-Based Modeling
;
Pattern Recognition
;
Robotics
;
Software Engineering
Abstract:
Electric arc welding is a key process in the heavy steel industries. It is a very complex task that demands a high degree of control in order to meet the international standards for fusion welding. We propose a Vision-Based Measurement (VBM) system and evaluate how different algorithms impact the results. The proposed system joins hardware and software to image the welding plates using a single CMOS camera, run computer vision algorithms and control the welding equipment. A complete prototype, using a commercial linear welding robot is presented. The evaluation of the system as a groove mapping equipment, considering different processing algorithms combined with noise removal and line segment detection techniques, allows us to define the appropriated approach for shop floor operation, combining low asymptotic cost and measurement quality.