Invention Publication
- Patent Title: MACHINE VISION USING DIFFRACTIVE SPECTRAL ENCODING
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Application No.: US17920774Application Date: 2021-05-04
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Publication No.: US20230153600A1Publication Date: 2023-05-18
- Inventor: Aydogan Ozcan , Jingxi Li , Deniz Mengu , Yair Rivenson
- Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Applicant Address: US CA Oakland
- Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA Oakland
- International Application: PCT/US2021/030736 2021.05.04
- Date entered country: 2022-10-21
- Main IPC: G06N3/067
- IPC: G06N3/067 ; G02B27/42

Abstract:
A machine vision task, machine learning task, and/or classification of objects is performed using a diffractive optical neural network device. Light from objects passes through or reflects off the diffractive optical neural network device formed by multiple substrate layers. The diffractive optical neural network device defines a trained function between an input optical signal from the object light illuminated at a plurality or a continuum of wavelengths and an output optical signal corresponding to one or more unique wavelengths or sets of wavelengths assigned to represent distinct data classes or object types/classes created by optical diffraction and/or reflection through/off the substrate layers. Output light is captured with detector(s) that generate a signal or data that comprise the one or more unique wavelengths or sets of wavelengths assigned to represent distinct data classes or object types or object classes which are used to perform the task or classification.
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