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Proceedings Paper

A vision-based material tracking system for heavy plate rolling mills
Author(s): Mark Tratnig; Johann Reisinger; Helmut Hlobil
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Paper Abstract

A modern heavy plate rolling mill can process more than 20 slabs and plates simultaneously. To avoid material confusions during a compact occupancy and the permanent discharging and re-entering of parts, one must know the identity and position of each part at every moment. One possibility to determine the identity and position of each slab and plate is the application of a comprehensive visual-based tracking system. Compared to a tracking system that calculates the position of a plate based on the diameter and the turns of the transport rolls, a visual system is not corrupted by a position- and material dependent transmission slip. In this paper we therefore present a vision-based material tracking system for the 2-dimensional tracking of glowing material in harsh environment. It covers the production area from the plant's descaler to the pre-stand of the rolling mill and consists of four independent, synchronized overlapping cameras. The paper first presents the conceptual design of the tracking system - and continues then with the camera calibration, the determination of pixel contours, the data segmentation and the fitting & modelling of the objects bodies. In a next step, the work will then show the testing setup. It will be described how the material tracking system was implemented into the control system of the rolling mill and how the delivered tracking data was checked on its correctness. Finally, the paper presents some results. It will be shown that the position of some moving plates was estimated with a precision of approx. 0.5m. The results will be analyzed and it will be explained where the inaccuracies come from and how they eventually can be removed. The paper ends with a conclusion and an outlook on future work.

Paper Details

Date Published: 29 May 2007
PDF: 15 pages
Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560B (29 May 2007); doi: 10.1117/12.736728
Show Author Affiliations
Mark Tratnig, voestalpine mechatronics GmbH (Austria)
Johann Reisinger, voestalpine mechatronics GmbH (Austria)
Helmut Hlobil, voestalpine mechatronics GmbH (Austria)


Published in SPIE Proceedings Vol. 6356:
Eighth International Conference on Quality Control by Artificial Vision

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