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Deep-Learning-basierte Echtzeiterkennung von Nichteisenmetall-Feinfraktionen mittels RGB-Sensorik - Status quo und Perspektiven für ein sensorbasiertes Qualitätsmonitoring = Real-time detection of fine fractions of non-ferrous metals using deep learning and RGB sensors – current status and prospects for sensor-based quality monitoring

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Konferenz/Event:Berliner Konferenz Metallkreisläufe , Berlin , Germany , BKM 2026 , 2026-03-23 - 2026-03-24

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URL: https://publications.rwth-aachen.de/record/1032667/files/1032667.pdf


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Dokumenttyp
Conference Presentation (Invited)

Herkunft
Public Reference

Sprache
German

Interne Identnummern
RWTH-2026-03695
Datensatz-ID: 1032667

Beteiligte Länder
Germany

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 Record created 2026-03-30, last modified 2026-04-13
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