Computer-Aided Visual Inspection of Glass-Coated Tableware Ceramics for Multi-Class Defect Detection

Computer-Aided Visual Inspection of Glass-Coated Tableware Ceramics for Multi-Class Defect Detection

Quality control procedures in the manufacturing of tableware ceramics require a demanding, monotonous, subjective, and faulty human manual inspection. This paper presents two machine learning strategies and the results of a semi-automated visual inspection of ceramics tableware applied to a private...

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Bibliographic Details
Main Authors: Rafaela Carvalho, Ana C. Morgado, João Gonçalves, Anil Kumar, Alberto Gil e Sá Rolo, Rui Carreira, Filipe Soares
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
defect inspection
quality control
ceramics
machine learning
multi-class
Online Access:https://www.mdpi.com/2076-3417/13/21/11708

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https://www.mdpi.com/2076-3417/13/21/11708

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