Deep learning based gasket fault detection: a CNN approach

Deep learning based gasket fault detection: a CNN approach

Abstract Gasket inspection is a critical step in the quality control of a product. The proposed method automates the detection of misaligned or incorrectly fitting gaskets, ensuring timely repair action. The suggested method uses deep learning approaches to recognize and evaluate radiator images, wi...

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Bibliographic Details
Main Authors: S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Gasket inspection
Deep learning
CNN
Quality Control
Gasket
Radiator
Online Access:https://doi.org/10.1038/s41598-025-85223-8
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https://doi.org/10.1038/s41598-025-85223-8

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