Classification of Towels in a Robotic Workcell Using Deep Neural Networks

Jens Rossen, Patrick Terp, Norbert Krüger, Laus Bigum, Tudor Morar

2024

Abstract

The industrial laundry industry is becoming increasingly more automated. Inwatec, a company specializing in this field, is developing a new robot (BLIZZ) to automate the process of grasping individual clean towels from a pile, and hand them over to an external folding machine. However, to ensure that towels are folded consistently, information about the type and faces of the towels is required. This paper presents a proof of concept for a towel type and towel face classification system integrated in BLIZZ. These two classification problems are solved by means of a Deep Neural Network (DNN). The performance of the proposed DNN on each of the two classification problems is presented, along with the performance of it solving both classification problems at the same time. It is concluded that the proposed network achieves classification accuracies of 94 .48%, 97.71% and 98.52% on the face classification problem for three different towel types with non-identical faces. On the type classification problem, it achieves an accuracy of 99.10% on the full dataset. Additionally, it is concluded that the system achieves an accuracy of 96.96% when simultaneously classifying the type and face of a towel on the full dataset.

Paper Citation

in Harvard Style

Rossen J., Terp P., Krüger N., Bigum L. and Morar T. (2024). Classification of Towels in a Robotic Workcell Using Deep Neural Networks. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 309-316. DOI: 10.5220/0012297500003660

in Bibtex Style

@conference{visapp24,
author={Jens Rossen and Patrick Terp and Norbert Krüger and Laus Bigum and Tudor Morar},
title={Classification of Towels in a Robotic Workcell Using Deep Neural Networks},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012297500003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Classification of Towels in a Robotic Workcell Using Deep Neural Networks
SN - 978-989-758-679-8
AU - Rossen J.
AU - Terp P.
AU - Krüger N.
AU - Bigum L.
AU - Morar T.
PY - 2024
SP - 309
EP - 316
DO - 10.5220/0012297500003660
PB - SciTePress