Automated Defect Detection in Ceramic Tiles Using Transfer Learning Models

Shanthakumari R, Mamtha B, Mohamed Haarith J, Jaswanth J, Varadhaganapathy S

2025

Abstract

The ceramic tile enterprise is dealing with sizable challenges, particularly in growing countries with every everyday old technologies. The complex nature of the ceramic tile technology prepare often comes approximately in surface abandons inside the closing objects. Customarily, the class and reviewing of these gadgets rely upon human assessment, that can cause errors and irregularities. that is specifically concerning whilst tiles are utilized in legacy buildings just like the Taj Mahal, where defects could compromise such ancient structures' beauty and integrity. Therefore, it's miles essential to implement an automatic illness detection and type system to make sure that handiest tiles are used. in this paper, we recommend a version the usage of well-hooked up Convolutional Neural Networks (CNNs), which have been hired to discover and clas sify floor defects in ceramic tiles, attaining superior overall performance. Making use of those superior fashions ensures the tiles are very well inspected earlier than use, stopping any ability harm to crucial heritage web sites. The outcomes exhibit the effectiveness of this approach in surpassing present accuracy benchmarks, offering a reliable answer for the ceramic tile industry.

Paper Citation

in Harvard Style

R S., B M., J M., J J. and S V. (2025). Automated Defect Detection in Ceramic Tiles Using Transfer Learning Models. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 771-777. DOI: 10.5220/0013585400004664

in Bibtex Style

@conference{incoft25,
author={Shanthakumari R and Mamtha B and Mohamed Haarith J and Jaswanth J and Varadhaganapathy S},
title={Automated Defect Detection in Ceramic Tiles Using Transfer Learning Models},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={771-777},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013585400004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Automated Defect Detection in Ceramic Tiles Using Transfer Learning Models
SN - 978-989-758-763-4
AU - R S.
AU - B M.
AU - J M.
AU - J J.
AU - S V.
PY - 2025
SP - 771
EP - 777
DO - 10.5220/0013585400004664
PB - SciTePress