Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/20860
Autoria: | San-Payo, G. Ferreira, J. Santos, P. Martins, A. |
Data: | 2020 |
Título próprio: | Machine learning for quality control system |
Volume: | 11 |
Número: | 11 |
Paginação: | 4491 - 4500 |
ISSN: | 1868-5137 |
DOI (Digital Object Identifier): | 10.1007/s12652-019-01640-4 |
Palavras-chave: | Quality control Incremental learning Image classification Defect detection system |
Resumo: | In this work, we propose and develop a classification model to be used in a quality control system for clothing manufacturing using machine learning algorithms. The system consists of using pictures taken through mobile devices to detect defects on production objects. In this work, a defect can be a missing component or a wrong component in a production object. Therefore, the function of the system is to classify the components that compose a production object through the use of a classification model. As a manufacturing business progresses, new objects are created, thus, the classification model must be able to learn the new classes without losing previous knowledge. However, most classification algorithms do not support an increase of classes, these need to be trained from scratch with all . Thus. In this work, we make use of an incremental learning algorithm to tackle this problem. This algorithm classifies features extracted from pictures of the production objects using a convolutional neural network (CNN), which have proven to be very successful in image classification problems. We apply the current developed approach to a process in clothing manufacturing. Therefore, the production objects correspond to clothing items |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Machine Learning for Quality Control System.pdf | Versão Submetida | 6,73 MB | Adobe PDF | Ver/Abrir |
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