Defect Detection In Fibered Material Using Methods Of Machine Learning

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Date
2019
ORCID
Advisor
Referee
Mark
Journal Title
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Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
SILON s.r.o is manufacturer of polyester fibres which get used in wide range of applications, many of them requiring highest quality material. Due to manufacturing processes, some fibres are not drawn properly and stay in the fiber as bundles, or brittle, thick threads. Proposed lab station should automate process of quality check of each batch. It consists of linescan camera scanner and computer with software for detection and analysis of defects.
Description
Citation
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 331-334. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
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Language of document
en
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Defence
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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