title: A laser-based vision system for weld quality inspection.
abstract: Welding is a very complex process in which the final weld quality can be affected by many process parameters. In order to inspect the weld quality and detect the presence of various weld defects, different methods and systems are studied and developed. In this paper, a laser-based vision system is developed for non-destructive weld quality inspection. The vision sensor is designed based on the principle of laser triangulation. By processing the images acquired from the vision sensor, the geometrical features of the weld can be obtained. Through the visual analysis of the acquired 3D profiles of the weld, the presences as well as the positions and sizes of the weld defects can be accurately identified and therefore, the non-destructive weld quality inspection can be achieved.
authors.affiliation: Research Center for Advanced Manufacturing, Southern Methodist University, 3101 Dyer Street, Dallas, TX 75205, USA. huangw@smu.edu
authors.forename: Wei
authors.initials: W
authors.lastname: Huang
authors.forename: Radovan
authors.initials: R
authors.lastname: Kovacevic
mesh_terms: D007091:Image Processing, Computer-Assisted / Q000592:standards; D007834:Lasers; D011786:Quality Control; D014896:Welding / Q000592:standards*