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Abstract
The paper presents a new Automatic Waterjet Positioning Vision System (AWPVS) and investigates components of workpiece positioning accuracy. The main purpose of AWPVS is to precisely identify the position and rotation of a workpiece placed on a waterjet machine table. Two webcams form a basis for the system, and constitute its characteristics. The proposed algorithm comprises various image processing techniques to assure a required identification precision. To validate the PVS identification quality, synthetic images were applied under various conditions. The analysis ascertains dependence of an object detection rate and accuracy on a size of cropping frame. Experimental results of the proposed PVS prototype prove that a combination of the vision algorithm and webcams is an alternative to dedicated expensive industrial vision systems. The two main components of AWPVS uncertainty, a machine component and PSV component are discerned and estimated.
Authors (3)
-
Wlodek Kulesza
- Blekinge Institute of Technology School of Engineering
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Elektronika Ir Elektrotechnika
no. 19,
pages 89 - 90,
ISSN: 1392-1215 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Dziak D., Jachimczyk B., Kulesza W.: An Analysis of Uncertainty and Robustness of Waterjet Machine Positioning Vision System// Elektronika Ir Elektrotechnika. -Vol. 19, nr. 9 (2013), s.89-90
- Verified by:
- Gdańsk University of Technology
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