Task-specific sensor optical designs

Birch, Gabriel Carlisle; Redman, Brian John; LaCasse, IV, Charles Fredrick; Dagel, Amber Lynn; Sahakian, Meghan Anne; Kaehr, Bryan James; Quach, Tu-Thach; Calzada, Daniel Alvaro; Woo, Bryana Lynn; Stubbs, Jaclynn Javonna

Task-specific sensor optical designs

Patent · Tue Oct 01 04:00:00 EDT 2024

OSTI ID:2542673

Birch, Gabriel Carlisle; Redman, Brian John; LaCasse, IV, Charles Fredrick; Dagel, Amber Lynn; Sahakian, Meghan Anne; Kaehr, Bryan James; Quach, Tu-Thach; Calzada, Daniel Alvaro; Woo, Bryana Lynn; Stubbs, Jaclynn Javonna

A method and system architecture for designing a compressive sensing matrix for machine learning includes receiving an image associated with a classification task and; generating a sensing matrix. The sensing matrix includes an array of nonzero elements of the image. A prism array of prism elements is in communication with the sensing matrix. A row of values corresponding with an input angle of the prism array is mapped to a respective column corresponding with a detector. Then the detector detects light refracted at an output angle dictated by the physical shape of the prism element. A physical model of the detector is fabricated and generates a compressed representation of the image. A machine learning classification algorithm is applied to the compressed representation of the image and generates an optimized non-invertible final determination of the image.

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Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

DOE Contract Number:: NA0003525

Assignee:: National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)

Patent Number(s):: 12,106,556

Application Number:: 17/712,316

OSTI ID:: 2542673

Country of Publication:: United States

Language:: English

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