Computer Vision for Texture Yarn Interlace Measurements.pdf (13.74 MB)
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Computer vision for textured yarn interlace (Nip) measurements at high speeds

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posted on 20.07.2016 by Michael P. Millman, Memis Acar, Michael Jackson
This paper deals specifically with interlace measurements of intermingled, false-twist textured yarns. A system has been built which is capable of analysing yarns at slow-speed/high-resolution, and also at high-speed/low-resolution. An outline description of the system is given here, along with descriptions of techniques used in the hardware and software which improve the system performance. To monitor interlace, a signal processing algorithm is developed and explained which enables reliable interlace detection, and is effective against diametric noise. Several tests are carried out, which prove the ability of the system to match the results from careful manual inspection of the yarn. The final test is to run the yarn at a high speed, and to compare the results with the slow-speed analysis. The results show that at high speeds, the system is reliable.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Mechatronics Journal

Volume

11

Issue

(8)

Pages

1025 - 1038

Citation

MILLMAN, M.P., ACAR, M. and JACKSON, M.R., 2001. Computer vision for textured yarn interlace (Nip) measurements at high speeds. Mechatronics, 11 (8), pp.1025-1038

Publisher

© Elsevier Science Ltd

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2001

ISSN

0957-4158

Language

en

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