Automated Detection of Defects on Metal Surfaces Using Vision Transformers

Toqa Alaa, Mostafa Kotb, Arwa Zakaria, Mariam Diab, Walid Gomaa, Walid Gomaa

2024

Abstract

Metal manufacturing often results in the production of defective products, leading to operational challenges. Since traditional manual inspection is time-consuming and resource-intensive, automatic solutions are needed. The study utilizes deep learning techniques to develop a model for detecting metal surface defects using Vision Transformers (ViTs). The proposed model focuses on the classification and localization of defects using a ViT for feature extraction. The architecture branches into two paths: classification and localization. The model must approach high classification accuracy while keeping the Mean Square Error (MSE) and Mean Absolute Error (MAE) as low as possible in the localization process. Experimental results show that it can be utilized in the process of automated defects detection, improve operational efficiency, and reduce errors in metal manufacturing.

Paper Citation

in Harvard Style

Alaa T., Kotb M., Zakaria A., Diab M. and Gomaa W. (2024). Automated Detection of Defects on Metal Surfaces Using Vision Transformers. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 36-45. DOI: 10.5220/0012936300003822

in Bibtex Style

@conference{icinco24,
author={Toqa Alaa and Mostafa Kotb and Arwa Zakaria and Mariam Diab and Walid Gomaa},
title={Automated Detection of Defects on Metal Surfaces Using Vision Transformers},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2024},
pages={36-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012936300003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Automated Detection of Defects on Metal Surfaces Using Vision Transformers
SN - 978-989-758-717-7
AU - Alaa T.
AU - Kotb M.
AU - Zakaria A.
AU - Diab M.
AU - Gomaa W.
PY - 2024
SP - 36
EP - 45
DO - 10.5220/0012936300003822
PB - SciTePress