X-ray transmission imaging of waste printed circuit boards for value estimation in recycling using machine learning
The growing amount of electronic waste is a global challenge: on one hand, it poses a threat to the environment as it may contain toxic or hazardous substances, on the other hand it is a valuable 'urban mine' containing metals like gold and copper. Thus, recycling of electronic waste is no...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 42(2024), 9 vom: 07. Sept., Seite 759-766
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| 1. Verfasser: |
Firsching, Markus
(VerfasserIn) |
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| Weitere Verfasser: |
Ottenweller, Moritz,
Leisner, Johannes,
Rüger, Steffen |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
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| Schlagworte: | Journal Article
PCB
X-ray imaging
XRT
deep neural networks
machine learning
object detection
recycling
sorting |
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