Defect Detection In Fibered Material Using Methods Of Machine Learning
Defect Detection In Fibered Material Using Methods Of Machine Learning
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.
- Brno University of Technology Czech Republic
fully convolutional network, polyester fiber, Rhodamine B, linescan camera, defect detection, convolutional neural network, fluorescence, EEICT, scanner, FCN, quality check, CNN
fully convolutional network, polyester fiber, Rhodamine B, linescan camera, defect detection, convolutional neural network, fluorescence, EEICT, scanner, FCN, quality check, CNN
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