Machine Vision: Error Detection and Classification of Tailored Textiles Using Neural Networks

2022
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Authors: Kai Mueller; Christoph Greb
Published in: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Publisher: Springer International Publishing

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Abstract

The chapter delves into the application of machine vision and neural networks for detecting and classifying defects in tailored textiles used in fiber-reinforced plastics. It highlights the growing demand for these materials and the need for efficient quality control to reduce production costs and weight. The study presents a prototype for quality assurance and discusses the potential of machine learning to enhance the accuracy and speed of defect detection. The results of the study show promise for the practical implementation of these technologies in the aerospace and textile industries.

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Metadata
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Title: Machine Vision: Error Detection and Classification of Tailored Textiles Using Neural Networks
Authors: Kai Mueller
Christoph Greb
Publisher: Springer International Publishing
Book: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Print ISBN: 978-3-030-90699-3

Electronic ISBN: 978-3-030-90700-6

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-90700-6_67

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