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Thibaud Schaller

1 paper indexed

crossrefJournal of Experimental and Theoretical Analyses2025-02-05Cited by 4

A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning

Thibaud Schaller, Jun Li, Karl W. Jenkins

Regular aircraft engine inspections play a crucial role in aviation safety. However, traditional inspections are often performed manually, relying heavily on the judgment and experience of operators. This paper presents a data-driven deep learning framework capable of automatical…

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