Defect Detection Techniques for Airbag Production Sewing Stages

Airbags are subjected to strict quality control in order to ensure passengers safety. The quality of fabric and sewing thread influences the final product and therefore, sewing defects must be early and accurately detected, in order to remove the item from production. Airbag seams assembly can take various forms, using linear and circle primitives, with threads of different colors and length densities, creating lockstitch or double threads chainstitch. The paper presents a framework for the automatic detection of defects occurring during the airbag sewing stage. Types of defects as skipped stitch, missed stitch, or superimposed seam for lockstitch and two threads chainstitch are detected and marked. Using image processing methods, the proposed framework follows the seams path and determines if a color pattern of the considered stitches is valid.

[1]  Jun Zhang,et al.  Image Segmentation Based on 2D Otsu Method with Histogram Analysis , 2008, 2008 International Conference on Computer Science and Software Engineering.

[2]  B. P. Saville,et al.  Physical Testing of Textiles , 1999 .

[4]  Soo-Chang Pei,et al.  Circular arc detection based on Hough transform , 1995, Pattern Recognit. Lett..

[5]  A. Rocha,et al.  An innovative device for bobbin thread consumption measurement on industrial lockstitch sewing machines , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..

[6]  Oliver Meier,et al.  Laser-based joining of technical textiles for airbag production , 2008 .

[7]  Helge J. Ritter,et al.  Artificial neural networks for automated quality control of textile seams , 1999, Pattern Recognit..

[8]  I. Mariolis,et al.  Illumination invariant seam line detection in real garments , 2009 .

[9]  A. Horrocks,et al.  Handbook of technical textiles , 2000 .

[10]  K. Mak,et al.  Objective Evaluation of Seam Pucker on Textiles by Using Self-Organizing Map , 2022 .

[11]  Bidyut Baran Chaudhuri,et al.  A survey of Hough Transform , 2015, Pattern Recognit..

[12]  Walter Fung,et al.  Textiles in Automotive Engineering , 2001 .

[13]  Timothy G. Clapp,et al.  THE ON-LINE INSPECTION OF SEWN SEAMS , 1997 .

[14]  Wing-Keung Wong,et al.  Fabric Stitching Inspection Using Segmented Window Technique and BP Neural Network , 2009 .

[15]  Abdelwaheb Dogui,et al.  Influence of sewing parameters upon the tensile behavior of textile assembly , 2006 .

[16]  K. L. Mak,et al.  Objective Evaluation Of Seam Pucker On Textiles By Using Self-organizing Map , 2008 .

[17]  Chi Leung Parick Hui,et al.  Review of Application of Artificial Neural Networks in Textiles and Clothing Industries over Last Decades , 2011 .

[18]  Ramasamy Alagirusamy,et al.  Studies on air-jet textured sewing threads , 2003 .

[19]  Weidong Yu,et al.  Image Processing for the Use of Garment Production Detection System , 2008, 2008 Congress on Image and Signal Processing.