Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review

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Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review. / Friedrich, Karl; Koinig, Gerald; Fritz, Theresa et al.
in: Academic Journal of Polymer Science, Jahrgang 5.2022, Nr. 4, 555670, 14.02.2022.

Publikationen: Beitrag in FachzeitschriftLeitartikel(peer-reviewed)

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@article{af0e725253b7433db32155b70e0854a5,
title = "Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review",
abstract = "A circular economy is the stated aim of current technological and political developments in the waste management sector. Achieving the goal of a circular economy requires significant improvements in waste treatment technologies. For this reason, this paper summarises the relevant technologies, detailing the developments in the significant sensor-based sorting technologies. This review analyses the key spectral analysis methods like Near-Infrared Spectroscopy, Visual Spectroscopy, X-ray transmission, X-ray fluorescence analysis and Laser-Induced Breakdown Spectroscopy. This study further contains a detailed analysis of the standard sensor-based sorting construction types chute sorter, belt sorter and robot-aided sorting. Further insights in the branch of sensor-based sorting are permitted by describing the key players and stakeholders in sensor-based sorting, detailing the area of expertise and current fields of study for primary sensor and sorting machine suppliers. A convenient lookup table detailing the capabilities of these significant suppliers is provided. The last chapter summarises relevant trends and developments in digitalisation and Industry 4.0 in the waste and recycling sector, elaborating on relevant technology like digital waste management, sorting robots in waste management, smart villages and recyclable materials scanners. The reviewed data portrays the waste management industry{\textquoteright}s substantial developments. While new technologies, like machine learning, convolutional neural networks and robot sorting, are increasingly implemented, a substantial discrepancy exists between technological capabilities and the current State-of-the-Art.",
keywords = "Sensor-based Sorting, Robot Sorting, Recycling Goals, Digitalisation, Circular Economy, Sensor-based Sorting, Robot Sorting, Recycling Goals, Digitalisation, Circular Economy",
author = "Karl Friedrich and Gerald Koinig and Theresa Fritz and Roland Pomberger and Daniel Vollprecht",
year = "2022",
month = feb,
day = "14",
doi = "10.19080/AJOP.2022.05.555668",
language = "English",
volume = "5.2022",
journal = "Academic Journal of Polymer Science",
issn = "2641-8282",
number = "4",

}

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TY - JOUR

T1 - Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review

AU - Friedrich, Karl

AU - Koinig, Gerald

AU - Fritz, Theresa

AU - Pomberger, Roland

AU - Vollprecht, Daniel

PY - 2022/2/14

Y1 - 2022/2/14

N2 - A circular economy is the stated aim of current technological and political developments in the waste management sector. Achieving the goal of a circular economy requires significant improvements in waste treatment technologies. For this reason, this paper summarises the relevant technologies, detailing the developments in the significant sensor-based sorting technologies. This review analyses the key spectral analysis methods like Near-Infrared Spectroscopy, Visual Spectroscopy, X-ray transmission, X-ray fluorescence analysis and Laser-Induced Breakdown Spectroscopy. This study further contains a detailed analysis of the standard sensor-based sorting construction types chute sorter, belt sorter and robot-aided sorting. Further insights in the branch of sensor-based sorting are permitted by describing the key players and stakeholders in sensor-based sorting, detailing the area of expertise and current fields of study for primary sensor and sorting machine suppliers. A convenient lookup table detailing the capabilities of these significant suppliers is provided. The last chapter summarises relevant trends and developments in digitalisation and Industry 4.0 in the waste and recycling sector, elaborating on relevant technology like digital waste management, sorting robots in waste management, smart villages and recyclable materials scanners. The reviewed data portrays the waste management industry’s substantial developments. While new technologies, like machine learning, convolutional neural networks and robot sorting, are increasingly implemented, a substantial discrepancy exists between technological capabilities and the current State-of-the-Art.

AB - A circular economy is the stated aim of current technological and political developments in the waste management sector. Achieving the goal of a circular economy requires significant improvements in waste treatment technologies. For this reason, this paper summarises the relevant technologies, detailing the developments in the significant sensor-based sorting technologies. This review analyses the key spectral analysis methods like Near-Infrared Spectroscopy, Visual Spectroscopy, X-ray transmission, X-ray fluorescence analysis and Laser-Induced Breakdown Spectroscopy. This study further contains a detailed analysis of the standard sensor-based sorting construction types chute sorter, belt sorter and robot-aided sorting. Further insights in the branch of sensor-based sorting are permitted by describing the key players and stakeholders in sensor-based sorting, detailing the area of expertise and current fields of study for primary sensor and sorting machine suppliers. A convenient lookup table detailing the capabilities of these significant suppliers is provided. The last chapter summarises relevant trends and developments in digitalisation and Industry 4.0 in the waste and recycling sector, elaborating on relevant technology like digital waste management, sorting robots in waste management, smart villages and recyclable materials scanners. The reviewed data portrays the waste management industry’s substantial developments. While new technologies, like machine learning, convolutional neural networks and robot sorting, are increasingly implemented, a substantial discrepancy exists between technological capabilities and the current State-of-the-Art.

KW - Sensor-based Sorting

KW - Robot Sorting

KW - Recycling Goals

KW - Digitalisation

KW - Circular Economy

KW - Sensor-based Sorting

KW - Robot Sorting

KW - Recycling Goals

KW - Digitalisation

KW - Circular Economy

UR - https://juniperpublishers.com/ajop/AJOP.MS.ID.555668.php

U2 - 10.19080/AJOP.2022.05.555668

DO - 10.19080/AJOP.2022.05.555668

M3 - Editorial

VL - 5.2022

JO - Academic Journal of Polymer Science

JF - Academic Journal of Polymer Science

SN - 2641-8282

IS - 4

M1 - 555670

ER -