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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Christian del Carpio
Universidad Peruana de Ciencias Aplicadas (UPC)
Computer Science & IT Electrical & Electronics Engineering

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An Electronic System for Woven Fabric Quality Control Based on Image Processing Jean Carlos Carpio; Jorge Calderon; Guillermo Kemper; Luis Ayala; Christian del Carpio
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 14, No 2: June 2026
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v14i2.7498

Abstract

This paper proposes the development of an electronic device that integrates image processing algorithms for quality control of woven fabrics by detecting three defects: holes, bumps, and stains. Although classic and deep learning-based image processing methodologies for detecting fabric defects exist in the literature, these proposals lack hardware integration with the software. The proposed device overcomes this limitation by integrating digital image processing algorithms implemented in Python on a single-board computer, along with control devices for the camera, lighting, and motor, to enable real-time fabric quality control. This adaptable architecture meets the needs of the textile industry and reduces the risks associated with manual inspection. The device was validated with 100 fabric samples evaluated by a textile engineering specialist, yielding a Cohen's Kappa index of 0.959 for light-colored fabrics and 0.869 for dark-colored fabrics, as well as an average inspection speed of 15.68 m/min.
Co-Authors Guillermo Kemper Jean Carlos Carpio Jorge Calderon Luis Ayala