Aspherical surface measurement: a cost-effective and fast AI solution

Gaston Baudat; Robert E. Parks

doi:10.1117/12.3027354

30 September 2024 Aspherical surface measurement: a cost-effective and fast AI solution

Gaston Baudat, Robert E. Parks

Author Affiliations +

Proceedings Volume 13134, Optical Manufacturing and Testing 2024; 1313403 (2024) https://doi.org/10.1117/12.3027354
Event: Optical Engineering + Applications, 2024, San Diego, California, United States

Abstract

Optical aspherical surfaces have become more widely used as they offer advantages such as improved image quality, compact design, increased light gathering, and reduced distortion. However, measuring aspherical surfaces presents challenges due to their non-spherical shapes. The primary difficulties include the complexity of surface geometries and the need for specialized metrology equipment. These challenges require advanced measurement techniques to ensure accurate characterization and quality control of aspherical surfaces in various applications. This paper introduces an innovative, AI-driven solution for the measurement of aspherical surfaces within the image space, offering a flexible optical metrology tool for measuring aspherical surfaces. This approach is characterized by its ability to deliver rapid and cost-effective integration without the need for custom, complex optics.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gaston Baudat and Robert E. Parks "Aspherical surface measurement: a cost-effective and fast AI solution", Proc. SPIE 13134, Optical Manufacturing and Testing 2024, 1313403 (30 September 2024); https://doi.org/10.1117/12.3027354

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