Electronic insulator detection based on DN-DETR

Hong Li; Pengpeng Zhang; Siyu Xu; Mengshen Dou

doi:10.1117/12.2667736

28 March 2023 Electronic insulator detection based on DN-DETR

Hong Li, Pengpeng Zhang, Siyu Xu, Mengshen Dou

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256633 (2023) https://doi.org/10.1117/12.2667736
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

It is a challenge to detecting insulators quickly and correctly from complex and variable images of power line. An insulator detection method based on DN-DETR model is proposed in this paper. DN-DETR is an end-to-end object detection model based on the transformer model. Self-attention of transformer can obtain the global information of image quickly and correctly. Experiments show that our model converges quickly, and precision achieves 89.6% at 50 epochs.

Citation Download Citation

Hong Li, Pengpeng Zhang, Siyu Xu, and Mengshen Dou "Electronic insulator detection based on DN-DETR", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256633 (28 March 2023); https://doi.org/10.1117/12.2667736

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