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Physics-informed neural network for multi-singularity structured light recognition

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Abstract

We propose a ms-level fast and precise detection scheme for complex multi-singularity structured light assisted by physics-informed neural network with high recognition accuracy (93.6%), which consequently enables a high-security phase-based secret sharing encryption.

© 2022 The Author(s)

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