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Conference Paper
X-ray image-based flight path planning model of UAVs for non-destructive inspection of wind blades
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- Authors
- Jungi Lee, HyunYong Lee, Nac-Woo Kim, Yu-Min Hwang, Seok-Kap Ko
- Issue Date
- 2023-06
- Citation
- International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2023, pp.1582-1585
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we suggest a method for the flight path planning of UAVs equipped with X-ray generator and detector to develop a non-destructive inspection solution that detects defects inside wind turbine blades. To implement it, X-ray images of the inside of the wind blade are acquired and used as a training set for a deep learning model through augmentation of the X-ray image. Through this deep learning model, the implementation of the deep learning model tracking the lightning cable inside the wind blade, and determines UAV's flight direction.