An Object Detection and Scaling Model for Plastic Waste Sorting

Abhishek Padalkar; Pramod Pathak; Paul Stynes

Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy

Research Article

An Object Detection and Scaling Model for Plastic Waste Sorting

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@INPROCEEDINGS{10.4108/eai.20-11-2021.2314204,
    author={Abhishek  Padalkar and Pramod  Pathak and Paul  Stynes},
    title={An Object Detection and Scaling Model for Plastic Waste Sorting},
    proceedings={Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy},
    publisher={EAI},
    proceedings_a={CAIP},
    year={2021},
    month={12},
    keywords={plastic waste sorting object detection and scaling model scaled-yolov4 efficientdet},
    doi={10.4108/eai.20-11-2021.2314204}
}

Abhishek Padalkar
Pramod Pathak
Paul Stynes
Year: 2021
An Object Detection and Scaling Model for Plastic Waste Sorting
CAIP
EAI
DOI: 10.4108/eai.20-11-2021.2314204

Abhishek Padalkar¹, Pramod Pathak¹, Paul Stynes¹^,*

1: National College of Ireland, Mayor Street, IFSC, Dublin 01, Ireland

*Contact email: paul.stynes@ncirl.ie

Abstract

Plastic waste sorting involves the separation of plastic into its individual plastic types. This research proposes an Object Detection and Scaling Model for plastic waste sorting to detect four types of plastics using the WaDaBa dataset. This research compares the Object Detection and Scaling Models Scaled-Yolov4 and EfficientDet. Results demonstrate that Scaled-Yolov4- CSP outperforms the state of the art, Colour-Histogram based Canny-Edge-Gaussian Filter, by 21% accuracy.

Keywords: plastic waste sorting object detection and scaling model scaled-yolov4 efficientdet

Published: 2021-12-13
Publisher: EAI

: http://dx.doi.org/10.4108/eai.20-11-2021.2314204