Paper
30 August 2022 Assembly quality detection method based on PointNet++ and point set registration
Wanyan Huang, Wanhe Du, Tao Yu
Author Affiliations +
Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 1230912 (2022) https://doi.org/10.1117/12.2645509
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China
Abstract
To solve the problem of missing assembly, a non-contact detection algorithm for assembly quality was proposed based on PointNet++ and point set registration. Firstly, the contour information of the target component was preprocessed using filtering and a local limiting filtering algorithm, and the contour data was sampled down and the contour peaks were processed. Then, the target contour was identified by the PointNet++ network. Finally, the point set registration method was used to register the target contour with the standard point set, and then the desired contour assembly information was obtained. Taking the engine cylinder valve as an example, the experimental results show that this method can effectively identify the assembly quality of the target component.
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Wanyan Huang, Wanhe Du, and Tao Yu "Assembly quality detection method based on PointNet++ and point set registration", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 1230912 (30 August 2022); https://doi.org/10.1117/12.2645509
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KEYWORDS
Computer aided design

Data modeling

Detection and tracking algorithms

Target detection

Target recognition

Sensors

Solid modeling

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