PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

Addressing the critical theme of recycling electronic waste (E-waste), this contribution is dedicated to developing advanced automated data processing pipelines as a basis for decision-making and process control. Aligning with the broader goals of the circular economy and the United Nations (UN) sus...

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Veröffentlicht in:	IEEE sensors journal Jg. 24; H. 10; S. 17140 - 17158
Hauptverfasser:	Arbash, Elias, Fuchs, Margret, Rasti, Behnood, Lorenz, Sandra, Ghamisi, Pedram, Gloaguen, Richard
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Automated data processing Benchmarks Circuit boards circular economy Color imagery Computer vision Connectors conveyor belt Cubes Data processing dataset Datasets deep learning (DL) digitalization Electronic waste electronic waste (E-waste) hyperspectral (HS) Hyperspectral imaging Inspection Integrated circuits machine learning (ML) open-source data Optical sensors PCBVision printed circuit board (PCB) Printed circuits Process controls Qualitative analysis Recycling Remote sensing RGB Sensors Spatial resolution Spectral resolution Sustainable development Waste management
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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