Intelligent Classification of Different Types of Plastics using Deep Transfer Learning

Anthony Chazhoor, Manli Zhu, Edmond Ho, Bin Gao, Wai Lok Woo

2021

Abstract

Plastic pollution has affected millions globally. Research shows tiny plastics in the food we eat, the water we drink, and even in the air, we breathe. An average human intakes 74,000 micro-plastic every year, which significantly affects the health of living beings. This pollution must be administered before it severely impacts the world. We have substantially compared three state-of-the-art models on the WaDaBa dataset, which contains different types of plastics. These models are capable of classifying different types of plastic wastes which can be reused or recycled, thus limiting their wastage.

Paper Citation

in Harvard Style

Chazhoor A., Zhu M., Ho E., Gao B. and Woo W. (2021). Intelligent Classification of Different Types of Plastics using Deep Transfer Learning. In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS, ISBN 978-989-758-537-1, pages 190-195. DOI: 10.5220/0010716500003061

in Bibtex Style

@conference{robovis21,
author={Anthony Chazhoor and Manli Zhu and Edmond Ho and Bin Gao and Wai Lok Woo},
title={Intelligent Classification of Different Types of Plastics using Deep Transfer Learning},
booktitle={Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS,},
year={2021},
pages={190-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010716500003061},
isbn={978-989-758-537-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS,
TI - Intelligent Classification of Different Types of Plastics using Deep Transfer Learning
SN - 978-989-758-537-1
AU - Chazhoor A.
AU - Zhu M.
AU - Ho E.
AU - Gao B.
AU - Woo W.
PY - 2021
SP - 190
EP - 195
DO - 10.5220/0010716500003061