A4 Article in conference proceedings
Seam Tracking with Adaptive Image Capture for Fine-tuning of a High Power Laser Welding Process




List of Authors: Olli Lahdenoja, Tero Säntti, Ari Paasio, Mika Laiho, Jonne Poikonen
Publication year: 2015
Book title *: 7th International Conference on Machine Vision (ICMV)
Volume number: 9445
Number of pages: 7
ISSN: 0277-786X

Abstract


This paper presents the development of methods for real-time fine-tuning of a high power laser welding process of thick steel by using a compact smart camera system. When performing welding in butt-joint configuration, the laser beam’s location needs  to be adjusted exactly according to the seam line in order to allow the injected  energy to be absorbed uniformly into both steel sheets. In this paper, on-line extraction of  seam parameters is targeted by taking advantage of a combination of dynamic image intensity compression, image segmentation with a focal-plane processor ASIC, and Hough transform on an associated FPGA. Additional filtering of Hough line candidates based on temporal windowing is further applied to reduce unrealistic frame-to-frame tracking variations. The proposed methods are implemented in Matlab by using image data captured with adaptive integration time. The simulations are performed in a hardware oriented way to allow real-time implementation of the algorithms on the smart camera system.

 



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Last updated on 2019-14-06 at 12:53