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18 November 2022 Transformer terminal feature recognition and positioning method based on binocular vision and image processing algorithm
Lingying Chen, Yue Zhao, Xing Li
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Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 124731K (2022) https://doi.org/10.1117/12.2653820
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China
Abstract
Based on binocular vision and image processing algorithm, the recognition and location of high voltage side and low voltage side of transformer were completed for transformer automatic wiring positioning platform. On the basis of binocular vision calibration and 3D point cloud reconstruction, P3P algorithm was used to complete the positioning of transformer operation space coordinate system. Based on the image threshold segmentation algorithm, the position of transformer high voltage terminal, low voltage terminal, and transformer rotation angle were identified on the basis of 3d point cloud data. The target position information was provided for transformer automatic wiring device.
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Lingying Chen, Yue Zhao, and Xing Li "Transformer terminal feature recognition and positioning method based on binocular vision and image processing algorithm", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 124731K (18 November 2022); https://doi.org/10.1117/12.2653820
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KEYWORDS
Transformers
Cameras
Calibration
Detection and tracking algorithms
Image processing
Image processing algorithms and systems
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