Classification of Electronics Components using Deep Learning

Emel Soylu; İbrahim Kaya

doi:10.35377/saucis...1391636

EN

Classification of Electronics Components using Deep Learning

Abstract

In this study, we present an advanced electronic component classification system with an exceptional classification accuracy exceeding 99% using state-of-the-art deep learning architectures. We employed EfficientNetV2B3, EfficientNetV2S, EfficientNetB0, InceptionV3, MobileNet, and Vision Transformer (ViT) models for the classification task. The system demonstrates the remarkable potential of these deep learning models in handling complex visual recognition tasks, specifically in the domain of electronic components. Our dataset comprises a diverse set of electronic components, and we meticulously curated and labeled it to ensure high-quality training data. We conducted extensive experiments to fine-tune and optimize the models for the given task, leveraging data augmentation techniques and transfer learning. The high classification accuracy achieved by our system indicates its readiness for real-world deployment, marking a significant step towards advancing automation and efficiency in the electronics industry.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Emel Soylu ^*
0000-0003-2774-9778
Türkiye

İbrahim Kaya
0000-0002-8334-6669
Türkiye

Early Pub Date

April 27, 2024

Publication Date

April 30, 2024

Submission Date

November 16, 2023

Acceptance Date

January 30, 2024

Published in Issue

Year 2024 Volume: 7 Number: 1

DOI

https://doi.org/10.35377/saucis...1391636

IZ

https://izlik.org/JA37LB29XX

Cite

RIS / Bibtex

APA

Soylu, E., & Kaya, İ. (2024). Classification of Electronics Components using Deep Learning. Sakarya University Journal of Computer and Information Sciences, 7(1), 36-45. https://doi.org/10.35377/saucis...1391636

AMA

1.Soylu E, Kaya İ. Classification of Electronics Components using Deep Learning. SAUCIS. 2024;7(1):36-45. doi:10.35377/saucis.1391636

Chicago

Soylu, Emel, and İbrahim Kaya. 2024. “Classification of Electronics Components Using Deep Learning”. Sakarya University Journal of Computer and Information Sciences 7 (1): 36-45. https://doi.org/10.35377/saucis. 1391636.

EndNote

Soylu E, Kaya İ (April 1, 2024) Classification of Electronics Components using Deep Learning. Sakarya University Journal of Computer and Information Sciences 7 1 36–45.

IEEE

[1]E. Soylu and İ. Kaya, “Classification of Electronics Components using Deep Learning”, SAUCIS, vol. 7, no. 1, pp. 36–45, Apr. 2024, doi: 10.35377/saucis...1391636.

ISNAD

Soylu, Emel - Kaya, İbrahim. “Classification of Electronics Components Using Deep Learning”. Sakarya University Journal of Computer and Information Sciences 7/1 (April 1, 2024): 36-45. https://doi.org/10.35377/saucis. 1391636.

JAMA

1.Soylu E, Kaya İ. Classification of Electronics Components using Deep Learning. SAUCIS. 2024;7:36–45.

MLA

Soylu, Emel, and İbrahim Kaya. “Classification of Electronics Components Using Deep Learning”. Sakarya University Journal of Computer and Information Sciences, vol. 7, no. 1, Apr. 2024, pp. 36-45, doi:10.35377/saucis. 1391636.

Vancouver

1.Emel Soylu, İbrahim Kaya. Classification of Electronics Components using Deep Learning. SAUCIS. 2024 Apr. 1;7(1):36-45. doi:10.35377/saucis. 1391636