3D alignment of local surface images of wind turbine blades with shape estimation using multiple 2D barcodes

Tatsuya Yamashita; Shogo Tokai; Toshiyuki Yoshida; Atsushi Otsuka; Masashi Ono

doi:10.1117/12.2667028

25 March 2023 3D alignment of local surface images of wind turbine blades with shape estimation using multiple 2D barcodes

Tatsuya Yamashita, Shogo Tokai, Toshiyuki Yoshida, Atsushi Otsuka, Masashi Ono

Author Affiliations +

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259223 (2023) https://doi.org/10.1117/12.2667028
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

Tracking damage to current wind turbine blades over time based on human visual confirmations has issues regarding human cost and hazards during inspections. In this paper, we propose a method to generate 3D alignment frontal views of each part of a wind turbine blade from observed images using multiple 2D barcodes to inspect the damage of the blade and its change over time. Our method consists following processes: (1) 2D barcodes are extracted from the blade surface images, and their normal vectors are measured. (2) 3D surface of the blade is estimated from the barcode normals by ellipsoid model fitting. (3) The observed images are projected and mapped onto the estimated surface overlappingly. Experimental results confirm that the accuracy of the frontal view generation results of this method is sufficient.

Citation Download Citation

Tatsuya Yamashita, Shogo Tokai, Toshiyuki Yoshida, Atsushi Otsuka, and Masashi Ono "3D alignment of local surface images of wind turbine blades with shape estimation using multiple 2D barcodes", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259223 (25 March 2023); https://doi.org/10.1117/12.2667028

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KEYWORDS

Cameras

Imaging systems

Image processing

3D vision

Deformation

Wind energy

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