Machine learning meets singular optics: speckle-based structured light demultiplexing

Venugopal Raskatla; Purnesh Singh Badavath; Vijay Kumar

doi:10.1117/12.3013401

5 January 2024 Machine learning meets singular optics: speckle-based structured light demultiplexing

Venugopal Raskatla, Purnesh Singh Badavath, Vijay Kumar

Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 129381H (2024) https://doi.org/10.1117/12.3013401
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine

Abstract

In this paper, the advancements in structured light beams recognition using speckle-based convolutional neural networks (CNNs) have been presented. Speckle fields, generated by the interference of multiple wavefronts diffracted and scattered through a diffuser, project a random distribution. The generated random distribution of phase and intensity correlates to the structured light beam of the corresponding speckle field. This unique distribution of phase and intensity offers an additional dimension for recognizing the encoded information in structured light. The CNNs are well-suited for harnessing this unique ability to recognize the speckle field by learning hidden patterns within data. One notable advantage of speckle-based recognition is their ability to identify structured light beams from a small portion of the speckle field, even in high noise environments. The diffractive nature of the speckle field enables off-axis recognition, showcasing its capability in information broadcasting employing structured light beams. This is a significant departure from direct-mode detection-based models to alignment-free speckle-based detection models, which are no longer constrained by the directionality of laser beams.

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

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Venugopal Raskatla, Purnesh Singh Badavath, and Vijay Kumar "Machine learning meets singular optics: speckle-based structured light demultiplexing", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 129381H (5 January 2024); https://doi.org/10.1117/12.3013401

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KEYWORDS

Structured light

Speckle

Speckle pattern

Machine learning

Data modeling

Background noise

Diffusers

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