Towards a Floating Plastic Waste Early Warning System

Gábor Paller, Gábor Élő

2022

Abstract

Plastic waste in living waters is a worldwide problem. One particular variant of this problem is floating plastic waste, e.g. plastic bottles or bags. Rivers often carry large amount of floating plastic waste, due to unauthorized or not properly maintained waste dumps installed in the rivers’ flood plain. It is of utmost importance that environmental protection agencies be aware of such large-scale plastic pollutions so that they can initiate appropriate countermeasures. This paper presents two iterations of an early warning system designed to alert environmental protection agencies of plastic waste pollution. These systems are based on processing camera images but while the first iteration uses motion detection for identifying relevant images, the second iteration adopted a machine learning algorithm deployed in edge computing architecture. Better selectivity of the machine learning-based solution significantly eases the burden on the operators of the early warning system.

Paper Citation

in Harvard Style

Paller G. and Élő G. (2022). Towards a Floating Plastic Waste Early Warning System. In Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-551-7, pages 45-50. DOI: 10.5220/0010894500003118

in Bibtex Style

@conference{sensornets22,
author={Gábor Paller and Gábor Élő},
title={Towards a Floating Plastic Waste Early Warning System},
booktitle={Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2022},
pages={45-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010894500003118},
isbn={978-989-758-551-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Towards a Floating Plastic Waste Early Warning System
SN - 978-989-758-551-7
AU - Paller G.
AU - Élő G.
PY - 2022
SP - 45
EP - 50
DO - 10.5220/0010894500003118