Quality inspection is crucial in the textile industry as it ensures that the final products meet the required standards. It helps detect and address defects, such as fabric flaws and stitching irregularities, enhancing customer satisfaction, and optimizing production efficiency by identifying areas of improvement, reducing waste, and minimizing rework. In the competitive textile market, it is vital for maintaining customer loyalty, brand reputation, and sustained success. Nonetheless, and despite the importance of quality inspection, it is becoming increasingly harder to hire and train people for such tedious and repetitive tasks. In this context, there is an increased interest in automated quality control techniques that can be used in the industrial domain. In this paper we describe a computer vision model for localizing and classifying different types of defects in textiles. The model developed achieved an mAP@0.5 of 0.96 on the validation dataset. While this model was trained with a publicly available dataset, we will soon use the same architecture with images collected from Jacquard looms in the context of a funded research project. This paper thus represents an initial validation of the model for the purposes of fabric defect detection.


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    Titel :

    Fabric Defect Detection and Localization


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Wagner, Achim (Herausgeber:in) / Alexopoulos, Kosmas (Herausgeber:in) / Makris, Sotiris (Herausgeber:in) / Oliveira, Filipe (Autor:in) / Carneiro, Davide (Autor:in) / Ferreira, Hugo (Autor:in) / Guimarães, Miguel (Autor:in)

    Kongress:

    European Symposium on Artificial Intelligence in Manufacturing ; 2023 ; Kaiserslautern, Germany September 19, 2023 - September 19, 2023



    Erscheinungsdatum :

    27.06.2024


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Fabric defect detection using morphological filters

    Mak, K. L. / Peng, P. / Yiu, K. F. | British Library Online Contents | 2009


    Defect detection on patterned jacquard fabric

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    Automated fabric defect detection-A review

    Ngan, H. Y. / Pang, G. K. / Yung, N. H. | British Library Online Contents | 2011


    Defect Detection on Patterned Jacquard Fabric

    Ngan, H. / Pang, G. / Yung, S. et al. | British Library Conference Proceedings | 2004


    Defect detection in textile fabric images using subband domain subspace analysis

    Serdaroglu, A. / Ertuzun, A. / Ercil, A. | British Library Online Contents | 2007