Robustness estimation of simple lens systems by machine learning

Chia-Wei Chen; Bowen Zhou; Thomas Längle; Jürgen Beyerer

doi:10.1117/12.2603658

19 November 2021 Robustness estimation of simple lens systems by machine learning

Chia-Wei Chen, Bowen Zhou, Thomas Längle, Jürgen Beyerer

Proceedings Volume 12078, International Optical Design Conference 2021; 120781B (2021) https://doi.org/10.1117/12.2603658
Event: International Optical Design Conference - IODC 2021, 2021, Online Only

Abstract

Tolerance analysis and tolerance sensitivity optimization (desensitization) are important and necessary for manufacturability. However, compared to the optimization of optical performance, tolerance analysis is still time-consuming. A machine learning approach for the fast robustness estimation of lens systems is proposed. The results of the machine learning estimation and the other four different methods are compared with the results of the Monte Carlo analysis. The proposed model is added to the merit function in commercial software for optimization to reduce the sensitivity.

Conference Presentation

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Chia-Wei Chen, Bowen Zhou, Thomas Längle, and Jürgen Beyerer "Robustness estimation of simple lens systems by machine learning", Proc. SPIE 12078, International Optical Design Conference 2021, 120781B (19 November 2021); https://doi.org/10.1117/12.2603658

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