Über lernende optische Inspektion am Beispiel der Schüttgutsortierung

Automated visual inspection is an integral part in industrial manufacturing processes, but development and setup of such systems is very costly. Machine learning significantly reduces the effort of and speeds up both tasks. This work develops several machine learning methods suitable for automated v...

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Bibliographic Details
Main Author: Richter, Matthias (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2018
Series:Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Über lernende optische Inspektion am Beispiel der Schüttgutsortierung 
260 |b KIT Scientific Publishing  |c 2018 
300 |a 1 electronic resource (XVI, 283 p. p.) 
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520 |a Automated visual inspection is an integral part in industrial manufacturing processes, but development and setup of such systems is very costly. Machine learning significantly reduces the effort of and speeds up both tasks. This work develops several machine learning methods suitable for automated visual inspection. The methods augment each other and can be used for a wide range of products. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a German 
653 |a Mustererkennung 
653 |a Schüttgutsortierung 
653 |a visual inspection 
653 |a optische Inspektion 
653 |a maschinelles Lernen 
653 |a Pattern recognition 
653 |a machine learning 
653 |a bulk material soriting 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/61453  |7 0  |z DOAB: description of the publication