NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations

NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations

Determining mass-based material flow compositions (MFCOs) is crucial for assessing and optimizing the recycling of post-consumer plastics. Currently, MFCOs in plastic recycling are primarily determined through manual sorting analysis, but the use of inline near-infrared (NIR) sensors holds potential...

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Bibliographic Details
Main Authors: Nils Kroell, Xiaozheng Chen, Abtin Maghmoumi, Julius Lorenzo, Matthias Schlaak, Christian Nordmann, Bastian Küppers, Eric Thor, Kathrin Greiff
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Data in Brief
Subjects:
Sensor-based material flow characterization
Lightweight packaging waste
Mechanical plastic recycling
Circular economy
Machine learning
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923001725

Internet

http://www.sciencedirect.com/science/article/pii/S2352340923001725

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