Next Article in Journal
Using Eddy Covariance Sensors to Quantify Carbon Metabolism of Peatlands: A Case Study in Turkey
Next Article in Special Issue
Fiber Bragg Gratings, IT Techniques and Strain Gauge Validation for Strain Calculation on Aged Metal Specimens
Previous Article in Journal
Flame-Made Nb-Doped TiO2 Ethanol and Acetone Sensors
Previous Article in Special Issue
Position-Controlled Data Acquisition Embedded System for Magnetic NDE of Bridge Stay Cables
Article Menu

Export Article

Open AccessArticle
Sensors 2011, 11(1), 506-521;

A Laser-Based Vision System for Weld Quality Inspection

Research Center for Advanced Manufacturing, Southern Methodist University, 3101 Dyer Street, Dallas, TX 75205, USA
Author to whom correspondence should be addressed.
Received: 10 November 2010 / Revised: 9 December 2010 / Accepted: 5 January 2011 / Published: 6 January 2011
(This article belongs to the Special Issue Advanced Sensing Technology for Nondestructive Evaluation)
Full-Text   |   PDF [1249 KB, uploaded 21 June 2014]   |  


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. View Full-Text
Keywords: laser triangulation; non-destructive; inspection; weld quality laser triangulation; non-destructive; inspection; weld quality

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Huang, W.; Kovacevic, R. A Laser-Based Vision System for Weld Quality Inspection. Sensors 2011, 11, 506-521.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top