Failure Prediction Using Multimodal Classification of PCB Images

Pedro M. Goncalves, Pedro M. Goncalves, Miguel Brito, Jose Guilherme Cruz Moreira

2024

Abstract

In the era of Industry 4.0, where digital technologies revolutionize manufacturing, a wealth of data drive optimization efforts. Despite the opportunities, managing these vast datasets poses significant challenges. Printed Circuit Boards (PCBs) are pivotal in modern industry, yet their complex manufacturing process demands robust fault detection mechanisms to ensure quality and safety. Traditional classification models have limitations, exacerbated by imbalanced datasets and the sheer volume of data. Addressing these challenges, our research pioneers a multimodal classification approach, integrating PCB images and structured data to enhance fault prediction. Leveraging diverse data modalities, our methodology promises superior accuracy with reduced data requirements. Crucially, this work is conducted in collaboration with Bosch Car Multimedia, ensuring its relevance to industry needs. Our goals encompass crafting sophisticated models, curbing production costs, and establishing efficient data pipelines for real-time processing. This research marks a pivotal step towards efficient fault prediction in PCB manufacturing within the Industry 4.0 framework.

Paper Citation

in Harvard Style

M. Goncalves P., Brito M. and Guilherme Cruz Moreira J. (2024). Failure Prediction Using Multimodal Classification of PCB Images. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 442-449. DOI: 10.5220/0012791400003756

in Bibtex Style

@conference{data24,
author={Pedro M. Goncalves and Miguel Brito and Jose Guilherme Cruz Moreira},
title={Failure Prediction Using Multimodal Classification of PCB Images},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={442-449},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012791400003756},
isbn={978-989-758-707-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Failure Prediction Using Multimodal Classification of PCB Images
SN - 978-989-758-707-8
AU - M. Goncalves P.
AU - Brito M.
AU - Guilherme Cruz Moreira J.
PY - 2024
SP - 442
EP - 449
DO - 10.5220/0012791400003756
PB - SciTePress