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Journal of Electronic Imaging

Computer vision system for estimating and controlling the weight of glass gobs during their industrial formation process
Author(s): Antonio Ramón Jiménez Ruiz; Eskarne Laizola Loinaz; Fernando Morgado; Mar Calvache Sánchez; Fernando Seco Granja
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Paper Abstract

We present a computer vision system for measuring the weight of gobs during a glass-forming process, and a control strategy to automatically correct any weight deviation from a given set point. The system is based on a reliable gob area estimation using image-processing algorithms. A monochrome CCD high-resolution camera and a photodetector for synchronizing acquisition are used for registering gob images. Assuming that the gob has symmetry of revolution about the vertical axis, the proposed system estimates the weight of gobs with accuracy better than ±0.75%. A learning weight control strategy is proposed based on a proportional-integral (PI)-repetitive control scheme. The weight deviation from a set point is used as a control signal to adjust the glass flow into the feeder. This regulation scheme enables effective weight control, canceling mid- and long-term effects. The tracking error of ±1.5% means a reduction of 40% when compared with a traditional PI controller.

Paper Details

Date Published: 1 July 2004
PDF: 6 pages
J. Electron. Imag. 13(3) doi: 10.1117/1.1762888
Published in: Journal of Electronic Imaging Volume 13, Issue 3
Show Author Affiliations
Antonio Ramón Jiménez Ruiz, Instituto de Automatica Industrial (Spain)
Eskarne Laizola Loinaz, Instituto de Automatica Industrial (Spain)
Fernando Morgado, Instituto de Automatica Industrial (Spain)
Mar Calvache Sánchez, Instituto de Automatica Industrial (Spain)
Fernando Seco Granja, Instituto de Automatica Industrial (Spain)

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