Precision Slicing for Enhanced Defect Detection in High-Resolution Wind Turbine Blade Imagery
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Дата
2024-07-29
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Видавець
CEUR-WS.org
Анотація
The analysis of high-resolution aerial imagery captured by unmanned aerial vehicles (UAVs) presents significant analytical challenges, primarily due to the minuscule size of observable objects and the variability in object scale influenced by UAV altitude and positioning. These factors often lead to diminished data fidelity and complicate the detection of smaller objects, which are critical in applications such as infrastructure monitoring. Traditional image processing techniques, which typically segment images into smaller, randomly cropped sections before analysis, must sufficiently address these challenges. In this work, we propose a novel defect detection framework for identifying minor to medium-sized damages on wind turbine blades (WTBs), a critical component in renewable energy production. The proposed framework, termed 'slice-aided inference,' enhances the existing methodologies by incorporating both traditional patch division and a novel, more advanced technique known as slice-aided hyper-inference. These techniques are rigorously assessed with various advanced deep learning models, emphasizing their efficiency in identifying surface defects. The empirical testing conducted as part of this study demonstrates significant enhancements in detection capabilities, leveraging a dataset of high-resolution UAV images to highlight the practical applications and effectiveness of the proposed framework in real-world scenarios.
Опис
Svystun S., Melnychenko O., Radiuk P., Savenko O., Sachenko A. Precision slicing for enhanced defect detection in high-resolution wind turbine blade imagery. CEUR–WS, ISSN. 1613–0073. 2024. Vol. 3736. P. 1–18. (Scopus, Q4). URL: https://ceur-ws.org/Vol-3736/paper1.pdf
Ключові слова
aerial imagery, drone imaging, defect detection, WTBs, slice-aided inference, hyper-inference, deep neural networks, image segmentation, high-resolution imaging, object detection
Бібліографічний опис
Precision slicing for enhanced defect detection in high-resolution wind turbine blade imagery / S. Svystun et al. 1st International Workshop on Intelligent & CyberPhysical Systems (ICyberPhyS-2024) : CEUR-Workshop Proceedings, Khmelnytskyi, Ukraine, 28 June 2024 / ed. by T. Hovorushchenko et al. Vol. 3736. CEUR-WS.org, Aachen, 2024. P. 1–18. URL: https://ceur-ws.org/Vol-3736/paper1.pdf