Classification of Black Plastics Waste Using Fluorescence Imaging and Machine Learning
This work contributes to the recycling of technical black plastic particles, for example from the automotive or electronics industries. These plastics cannot yet be sorted with sufficient purity (up to 99.9%), which often makes economical recycling impossible. As a solution to this problem, imaging...
Main Authors: | Florian Gruber, Wulf Grählert, Philipp Wollmann, Stefan Kaskel |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Recycling |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-4321/4/4/40 |
Similar Items
-
Hyperspectral Imaging Using Laser Excitation for Fast Raman and Fluorescence Hyperspectral Imaging for Sorting and Quality Control Applications
by: Florian Gruber, et al.
Published: (2018-09-01) -
Optimal Fluorescence Waveband Determination for Detecting Defective Cherry Tomatoes Using a Fluorescence Excitation-Emission Matrix
by: In-Suck Baek, et al.
Published: (2014-11-01) -
Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection
by: Paola Cucuzza, et al.
Published: (2021-09-01) -
Detection of Brominated Plastics from E-Waste by Short-Wave Infrared Spectroscopy
by: Giuseppe Bonifazi, et al.
Published: (2021-08-01) -
Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging
by: Chao Ni, et al.
Published: (2020-01-01)