An Intelligent Scanning Vehicle for Waste Collection Monitoring

Georg Waltner; Malte Jaschik; Alfred Rinnhofer; Horst Possegger; Horst Bischof

doi:10.1007/978-3-031-06427-2_4

An Intelligent Scanning Vehicle for Waste Collection Monitoring

Georg Waltner^*, Malte Jaschik, Alfred Rinnhofer, Horst Possegger, Horst Bischof

^*Corresponding author for this work

Institute of Computer Graphics and Vision (7100)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

While many industries have adopted digital solutions to improve ecological footprints and optimize services, new technologies have not yet found broad acceptance in waste management. In addition, past efforts to motivate households to improve waste separation have shown limited success. To reduce greenhouse gas emissions as part of a greater plan for fighting climate change, institutions like the European Union (EU) undertake strong efforts. In this context, developing intelligent digital technologies for waste management helps to increase the recycling rate and as a consequence reduces greenhouse gas emissions. Within this work, we propose an innovative computer vision system that is able to assess the residential waste in real-time and deliver individual feedback to the households and waste management companies with the aim of increasing recycling rates and thus reducing emissions. It consists of two core components: A compact scanning hardware designed specifically for rugged environments like the innards of a garbage truck and an intelligent software that applies a convolutional neural network (CNN) to automatically identify the composition of the waste which was dumped into the truck and subsequently delivers the results to a web portal for further analysis and communication. We show that our system can impact household separation behavior and result in higher recycling rates leading to noticeable reduction of CO2 emissions in the long term.

Original language	English
Title of host publication	Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings
Subtitle of host publication	21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I
Editors	Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni M. Farinella, Federico Tombari
Place of Publication	Cham
Pages	38-50
Number of pages	13
ISBN (Electronic)	978-3-031-06427-2
DOIs	https://doi.org/10.1007/978-3-031-06427-2_4
Publication status	Published - May 2022
Event	16th International Conference on Image Analysis and Processing: ICIAP 2022 - Paris, France Duration: 27 Oct 2022 → 28 Oct 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13231 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Image Analysis and Processing
Abbreviated title	ICIAP 2022
Country/Territory	France
City	Paris
Period	27/10/22 → 28/10/22

Keywords

Circular economy
Cloud computing
Computer vision
Convolutional neural networks
Deep learning

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Science Applications
Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-06427-2_4

Cite this

Waltner, G., Jaschik, M., Rinnhofer, A., Possegger, H., & Bischof, H. (2022). An Intelligent Scanning Vehicle for Waste Collection Monitoring. In S. Sclaroff, C. Distante, M. Leo, G. M. Farinella, & F. Tombari (Eds.), Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I (pp. 38-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13231 LNCS).. https://doi.org/10.1007/978-3-031-06427-2_4

An Intelligent Scanning Vehicle for Waste Collection Monitoring. / Waltner, Georg; Jaschik, Malte; Rinnhofer, Alfred et al.
Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I. ed. / Stan Sclaroff; Cosimo Distante; Marco Leo; Giovanni M. Farinella; Federico Tombari. Cham, 2022. p. 38-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13231 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Waltner, G, Jaschik, M, Rinnhofer, A, Possegger, H & Bischof, H 2022, An Intelligent Scanning Vehicle for Waste Collection Monitoring. in S Sclaroff, C Distante, M Leo, GM Farinella & F Tombari (eds), Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13231 LNCS, Cham, pp. 38-50, 16th International Conference on Image Analysis and Processing, Paris, France, 27/10/22. https://doi.org/10.1007/978-3-031-06427-2_4

Waltner G, Jaschik M, Rinnhofer A, Possegger H , Bischof H. An Intelligent Scanning Vehicle for Waste Collection Monitoring. In Sclaroff S, Distante C, Leo M, Farinella GM, Tombari F, editors, Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I. Cham. 2022. p. 38-50. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-06427-2_4

Waltner, Georg ; Jaschik, Malte ; Rinnhofer, Alfred et al. / An Intelligent Scanning Vehicle for Waste Collection Monitoring. Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I. editor / Stan Sclaroff ; Cosimo Distante ; Marco Leo ; Giovanni M. Farinella ; Federico Tombari. Cham, 2022. pp. 38-50 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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An Intelligent Scanning Vehicle for Waste Collection Monitoring

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this