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Image analysis in technical documentation

Conference Paper
Publication Date:
2019
abstract:
In the era of Big Data, manufacturing companies are overwhelmed by a lot of disorganized information: the large amount of digital content that is increasingly available in the manufacturing process makes the retrieval of accurate information a critical issue. In this context, and thanks also to the Industry 4.0 campaign, the Italian manufacturing industries have made a lot of effort to ameliorate their knowledge management system using the most recent technologies, like big data analysis and machine learning methods. This paper presents the on-going work done within the ADA project, with special emphasis on the specific image analysis work carried out to extract information from images contained in the so different document of the manufacturing companies, partners of the project.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Image analysis; Machine learning; Big data; Manufacturing companies
List of contributors:
Carrara, Fabio; Amato, Giuseppe; Gennaro, Claudio; Debole, Franca
Authors of the University:
AMATO GIUSEPPE
CARRARA FABIO
DEBOLE FRANCA
GENNARO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/406709
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/406709/87964/prod_424054-doc_151113.pdf
Published in:
CEUR WORKSHOP PROCEEDINGS
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URL

http://ceur-ws.org/Vol-2400/
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