Fully automatic faulty weft thread detection using a camera system and feature-based pattern recognition
Kopaczka M, Saggiomo M, Guettler M, Gries T, Merhof D (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: SciTePress
Book Volume: 2018-January
Pages Range: 124-132
Conference Proceedings Title: ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
Event location: Funchal, Madeira, PRT
ISBN: 9789897582769
Abstract
In this paper, we present a novel approach for the fully automated detection of faulty weft threads on air-jet weaving machines using computer vision. The proposed system consists of a camera array for image acquisition and a classification pipeline in which we use different image processing and machine learning methods to allow precise localization and reliable classification of defects. The camera system is introduced and its advantages over other approaches are discussed. Subsequently, the processing steps are motivated and described in detail, followed by an in-depth analysis of the impact of different system parameters to allow chosing optimal algorithm combinations for the problem of faulty weft yarn detection. To analyze the capabilities of our solution, system performance is thoroughly evaluated under realistic production settings, showing excellent detection rates.
Involved external institutions
Germany (DE)How to cite
APA:
Kopaczka, M., Saggiomo, M., Guettler, M., Gries, T., & Merhof, D. (2018). Fully automatic faulty weft thread detection using a camera system and feature-based pattern recognition. In Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (Eds.), ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods (pp. 124-132). Funchal, Madeira, PRT: SciTePress.
MLA:
Kopaczka, Marcin, et al. "Fully automatic faulty weft thread detection using a camera system and feature-based pattern recognition." Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, Funchal, Madeira, PRT Ed. Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred, SciTePress, 2018. 124-132.
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