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Meadowlark Optics - Wave Plates 6/24 LB 2024

Single-Pixel Detector Classifies Images Using Diffractive Optical Network

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JOEL WILLIAMS, ASSOCIATE EDITOR
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JAKE SALTZMAN, NEWS EDITOR
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A single-pixel machine vision framework leverages deep-learning designed optical networks to bypass the need for an image sensor-array or digital processor. The system, developed in the lab of UCLA Chancellor’s Professor Aydogan Ozcan, paves the way for tackling certain challenges that are beyond the capabilities of current imaging and machine learning technologies. Most machine vision systems used today use a lens-based camera that sends information to a digital processor that performs machine learning tasks. Even with modern, state-of-the-art technology, these systems suffer...Read full article

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    Published: April 2021
    Glossary
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    neural network
    A computing paradigm that attempts to process information in a manner similar to that of the brain; it differs from artificial intelligence in that it relies not on pre-programming but on the acquisition and evolution of interconnections between nodes. These computational models have shown extensive usage in applications that involve pattern recognition as well as machine learning as the interconnections between nodes continue to compute updated values from previous inputs.
    Research & Technologymachine visionoptical networkneural networkSensors & DetectorsOpticssingle pixel camerassingle pixel detectorsingle-pixel detectorsingle-pixelsingle-pixel optical systemobject classificationobject recognitionUCLAUniversity of California Los AngelesScience AdvancesThe News Wire

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