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Über lernende optische Inspektion am Beispiel der Schüttgutsortierung

dc.contributor.authorRichter, Matthias*
dc.date.accessioned2021-02-12T06:47:03Z
dc.date.available2021-02-12T06:47:03Z
dc.date.issued2018*
dc.date.submitted2019-07-28 18:15:09*
dc.identifier34143*
dc.identifier.issn18665934*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/61453
dc.description.abstractAutomated 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.*
dc.languageGerman*
dc.relation.ispartofseriesSchriftenreihe Automatische Sichtprüfung und Bildverarbeitung*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherMustererkennung*
dc.subject.otherSchüttgutsortierung*
dc.subject.othervisual inspection*
dc.subject.otheroptische Inspektion*
dc.subject.othermaschinelles Lernen*
dc.subject.otherPattern recognition*
dc.subject.othermachine learning*
dc.subject.otherbulk material soriting*
dc.titleÜber lernende optische Inspektion am Beispiel der Schüttgutsortierung*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000085620*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731508427*
oapen.pagesXVI, 283 p.*
oapen.volume13*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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