View planning method for sheet metal parts in automated 3D measurement

DOI

10.2991/978-94-6463-581-2_68How to use a DOI?

Keywords

Sheet metal parts; View planning; Structured light; Reflection model; Genetic algorithm

Abstract

The automated 3D measurement system, utilizing structured light technology and robotics, is extensively employed in the inspection of sheet metal parts. This system provides essential data for process optimization and enhances part quality. To facilitate automated inspection, it is imperative to pre-plan the measurement viewpoints and paths. However, traditional methods, which sequentially address the planning of measurement viewpoints and paths, often fall into local optimization, thereby reducing measurement efficiency. Moreover, the highly reflective properties of sheet metal surfaces often cause image underexposure or overexposure, leading to discrepancies between actual measurements and simulations. To address these challenges, this paper presents a novel view planning method for highly reflective sheet metal parts. By leveraging the Blinn-Phong model to analyze the interaction between structured light projection and surface reflectivity, the proposed method ensures the consistency of actual measurements with simulations. Furthermore, a random key genetic algorithm is introduced to optimize the viewpoints, which can generate the best measurement viewpoints and paths simultaneously, improving the measurement efficiency. Experiment results demonstrate that the measurement coverage rate achieved by this method is nearly identical to the predicted result (97.4% vs. 98.8%), and there is a 10% increase in efficiency compared to the traditional methods.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qian Hao
AU  - Kai Zhong
AU  - Peng Liu
AU  - Pan Zhang
AU  - Longbing Zhao
AU  - Yu’e Su
AU  - Wei Wei
AU  - Kaiwen Li
AU  - Zhongwei Li
PY  - 2024
DA  - 2024/12/07
TI  - View planning method for sheet metal parts in automated 3D measurement
BT  - Proceedings of the 7th International Conference on Advanced High Strength Steel and Press Hardening (ICHSU 2024)
PB  - Atlantis Press
SP  - 569
EP  - 574
SN  - 2590-3217
UR  - https://doi.org/10.2991/978-94-6463-581-2_68
DO  - 10.2991/978-94-6463-581-2_68
ID  - Hao2024
ER  -