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Authors: Bernd Dreier ; Florian Blas and Alexander Kostgeld

Affiliation: University of Applied Sciences Kempten, Germany

Keyword(s): Image Processing, Data Acquisition, Process Monitoring, Object Detection, Industrial Applications.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Pervasive Smart Cameras

Abstract: The project IDA - Intelligent Data Acquisition is an interdisciplinary project in the fields of applied informatics and mechanical engineering. Its purpose is to collect process relevant information in industrial foundry processes like iron casting with handmade and mechanically made molds. Currently a lot of data sets are collected by hand. But these contain inaccuracies and errors and are not available digitally for further analysis. As a result it is not possible to evaluate them automatically. In particular it is not possible to conclude from a defect cast part to the whole set of its production parameters. We develop several procedures to collect these data sets and prepare them for computation in data analysis algorithms. The acquisition of digitally available data in IDA is done mostly by optical sensors. In this paper we describe our approach especially regarding marking and recognition of relevant objects. Furthermore we show first results in environments close to reality.

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Paper citation in several formats:
Dreier, B.; Blas, F. and Kostgeld, A. (2015). Data Acquisition in Cast Iron Foundries by Image Analysis. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 63-70. DOI: 10.5220/0005281600630070

@conference{visapp15,
author={Bernd Dreier. and Florian Blas. and Alexander Kostgeld.},
title={Data Acquisition in Cast Iron Foundries by Image Analysis},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={63-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005281600630070},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - Data Acquisition in Cast Iron Foundries by Image Analysis
SN - 978-989-758-091-8
IS - 2184-4321
AU - Dreier, B.
AU - Blas, F.
AU - Kostgeld, A.
PY - 2015
SP - 63
EP - 70
DO - 10.5220/0005281600630070
PB - SciTePress