A4 Artikkeli konferenssijulkaisussa
Seam Tracking with Adaptive Image Capture for Fine-tuning of a High Power Laser Welding Process

Julkaisun tekijät: Olli Lahdenoja, Tero Säntti, Ari Paasio, Mika Laiho, Jonne Poikonen
Julkaisuvuosi: 2015
Journal: International Conference on Machine Vision
Kirjan nimi *: 7th International Conference on Machine Vision (ICMV)
Volyymi: 9445
Sivujen määrä: 7
ISSN: 0277-786X
Verkko-osoite: http://www.icmv.net/


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 2019-09-07 at 15:55