Weld pool visual sensing without external illumination

Jinchao Liu, Zhun Fan, Søren Ingvor Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen

5 Citationer (Scopus)

Abstract

Visual sensing in arc welding has become more and more important, but still remains challenging because of the harsh environment with extremely strong illumination from the arc. This paper presents a low-cost camera-based sensor system, without using external Illumination, but nevertheless able to sense and model the weld pool. Central is a carefully selected optical filtering as well as an active contour-based tracking of the weld pool boundary. The system is able to extract the 2D shape of the weld pool in real time. The reported experiments show the feasibility of this approach.

OriginalsprogEngelsk
Titel2011 IEEE Conference on Automation Science and Engineering (CASE)
Antal sider6
ForlagIEEE
Publikationsdato2011
Sider145-150
ISBN (Trykt)978-1-4577-1730-7
ISBN (Elektronisk)978-1-4577-1731-4
DOI
StatusUdgivet - 2011
Begivenhed7th IEEE International Conference on Automation Science and Engineering - Triste, Italien
Varighed: 24 aug. 201127 aug. 2011
Konferencens nummer: 7

Konference

Konference7th IEEE International Conference on Automation Science and Engineering
Nummer7
Land/OmrådeItalien
ByTriste
Periode24/08/201127/08/2011

Emneord

  • Det Natur- og Biovidenskabelige Fakultet
  • Computer vision
  • Image Group
  • image analysis
  • Computer Science
  • Welding
  • Automation
  • Control Engineering

Fingeraftryk

Dyk ned i forskningsemnerne om 'Weld pool visual sensing without external illumination'. Sammen danner de et unikt fingeraftryk.

Citationsformater