DiffKPD: A Robust Key Point Detection Algorithm With a Diffusion Process for Automatic Pin Welding

Recent advancements in vision-guided automatic pin welding methods have garnered significant attention for their high productivity and performance. However, these applications still face considerable challenges in achieving the robustness and precision required for pin recognition and key point localization, which impedes their adoption in intelligent automation and manufacturing, particularly for electric vehicle motor production. In this article, we introduce a novel automatic pin key point detection model, namely, DiffKPD, designed to overcome these challenges. Our solution uses a two-stage detector: a base detector for localizing pin key points, followed by a lightweight, fast diffusion process that leverages time steps and local spatial context information to refine prior key point detections. Finally, we demonstrate the effectiveness and efficiency of our proposed method through extensive experimental results in terms of both localization precision and inference speed.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-01-29
DOI
https://doi.org/10.1109/jsen.2025.3531794
Primary Topic
Welding Techniques and Residual Stresses
Type
article
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article

DiffKPD: A Robust Key Point Detection Algorithm With a Diffusion Process for Automatic Pin Welding

Zhiyong Dai, Chunhua Gu, Heng Yao, Jianjun Yi et al.
IEEE Sensors Journal
Welding Techniques and Residual Stresses
article

DiffKPD: A Robust Key Point Detection Algorithm With a Diffusion Process for Automatic Pin Welding

Zhiyong Dai, Chunhua Gu, Heng Yao, Jianjun Yi, Fangqin Xu
article en

Abstract

Recent advancements in vision-guided automatic pin welding methods have garnered significant attention for their high productivity and performance. However, these applications still face considerable challenges in achieving the robustness and precision required for pin recognition and key point localization, which impedes their adoption in intelligent automation and manufacturing, particularly for electric vehicle motor production. In this article, we introduce a novel automatic pin key point detection model, namely, DiffKPD, designed to overcome these challenges. Our solution uses a two-stage detector: a base detector for localizing pin key points, followed by a lightweight, fast diffusion process that leverages time steps and local spatial context information to refine prior key point detections. Finally, we demonstrate the effectiveness and efficiency of our proposed method through extensive experimental results in terms of both localization precision and inference speed.

IEEE Sensors JournalVol. 25(6)
East China University of Science and Technology (CN), University of Shanghai for Science and Technology (CN), Shanghai University of Electric Power (CN), Shanghai Library (CN)
Affordable and clean energy
Openalex Percentile: Top 98%
Welding Techniques and Residual Stresses
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DiffKPD: A Robust Key Point Detection Algorithm With a Diffusion Process for Automatic Pin Welding — Zhiyong Dai, Chunhua Gu, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS