Cross-Sectional Measurements Of The Spandex

Due to the development of intelligent automation technology, the rapid upgrading and transformation of traditional manufacturing industries, and the quality of elastic fibers greatly affects the quality of finished fabrics, so strict quality control is required before leaving the factory. The main r...

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Bibliographic Details
Main Authors: Chiu, Huai-Hsien, Wu, Hsien-Huang
Format: Conference Proceeding
Language:English
Subjects:
Current measurement
Image analysis
Image segmentation
Intelligent automation
Manufacturing industries
Microscopy
Visualization
Online Access:Request full text
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Summary:Due to the development of intelligent automation technology, the rapid upgrading and transformation of traditional manufacturing industries, and the quality of elastic fibers greatly affects the quality of finished fabrics, so strict quality control is required before leaving the factory. The main reason for the change in fiber quality is that all fibers are false-twisted after being ejected through the spinneret which is consumable and sometimes poor quality. At present, the cross-sectional quality inspection of elastic fibers is performed under a high-power microscope manually, and the number of fibers is manually calculated by visual inspection, and then it is estimated whether the fiber diameter is within the qualified range. The proposed method will make this measurement automatic based on deep learning.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan55306.2022.9869031