Smart Laser Beam Analyzer Based on Deep Learning

Yi An; Hongxiang Chang; Jun Li; Liangjin Huang; Jinyong Leng; Lijia Yang; Pu Zhou

doi:10.1364/ASSL.2019.JTu3A.41

Laser Congress 2019 (ASSL, LAC, LS&C)
OSA Technical Digest (Optica Publishing Group, 2019),
paper JTu3A.41
•https://doi.org/10.1364/ASSL.2019.JTu3A.41

Smart Laser Beam Analyzer Based on Deep Learning

Yi An, Hongxiang Chang, Jun Li, Liangjin Huang, Jinyong Leng, Lijia Yang, and Pu Zhou

Laser Applications Conference 2019

Vienna Austria
29 September–3 October 2019
ISBN: 978-1-943580-68-2

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Joint Poster Session Tuesday (JTu3A)

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Y. An, H. Chang, J. Li, L. Huang, J. Leng, L. Yang, and P. Zhou, "Smart Laser Beam Analyzer Based on Deep Learning," in Laser Congress 2019 (ASSL, LAC, LS&C), OSA Technical Digest (Optica Publishing Group, 2019), paper JTu3A.41.

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Abstract

A deep learning based smart laser beam analyzer, which can perform mode decomposition and M² evaluation for ordinary, saturated, noisy or other imperfect laser beam patterns, is firstly proposed and verified through simulation and experiment.

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