Fast, cost-effective AI solution for aspherical surface measurement

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. We introduce an innovative, artificial intelligence-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 complex custom optics.

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Publication Details

Journal
Optical Engineering
Published
2025-04-08
DOI
https://doi.org/10.1117/1.oe.64.4.044101
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
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article

Fast, cost-effective AI solution for aspherical surface measurement

Robert E. Parks, Gaston Baudat
Optical Engineering
Advanced Measurement and Metrology Techniques
article

Fast, cost-effective AI solution for aspherical surface measurement

Robert E. Parks, Gaston Baudat
article en

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. We introduce an innovative, artificial intelligence-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 complex custom optics.

Optical EngineeringVol. 64(04)
Optical Sciences (United States) (US), Foresight Science & Technology (United States) (US)
Openalex Percentile: Top 94%
Advanced Measurement and Metrology Techniques
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