Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition

Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Thomas Gries, Dorit Merhof

2018

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.

Paper Citation

in Harvard Style

Kopaczka M., Saggiomo M., Güttler M., Gries T. and Merhof D. (2018). Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 124-132. DOI: 10.5220/0006591301240132

in Bibtex Style

@conference{icpram18,
author={Marcin Kopaczka and Marco Saggiomo and Moritz Güttler and Thomas Gries and Dorit Merhof},
title={Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={124-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006591301240132},
isbn={978-989-758-276-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition
SN - 978-989-758-276-9
AU - Kopaczka M.
AU - Saggiomo M.
AU - Güttler M.
AU - Gries T.
AU - Merhof D.
PY - 2018
SP - 124
EP - 132
DO - 10.5220/0006591301240132