Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks

Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks

Many “Industry 4.0” applications rely on data-driven methodologies such as Machine Learning and Deep Learning to enable automatic tasks and implement smart factories. Among these applications, the automatic quality control of manufacturing materials is of utmost importance to achieve precision and s...

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Bibliographic Details
Main Authors: Andrea Silenzi, Vincenzo Castorani, Selene Tomassini, Nicola Falcionelli, Paolo Contardo, Andrea Bonci, Aldo Franco Dragoni, Paolo Sernani
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
quality control
carbon fiber reinforced polymers
CFRP
deep learning
transfer learning
Industry 4.0
Online Access:https://www.mdpi.com/1424-8220/23/17/7607

Internet

https://www.mdpi.com/1424-8220/23/17/7607

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