Analysis of rotation phenomena of speckle patterns in an output light spot from multimode optical fiber with deep learning scheme

Ryusei Sato; Makoto Hasegawa

doi:10.1117/12.3027910

3 October 2024 Analysis of rotation phenomena of speckle patterns in an output light spot from multimode optical fiber with deep learning scheme

Ryusei Sato, Makoto Hasegawa

Author Affiliations +

Proceedings Volume 13138, Applications of Machine Learning 2024; 131380T (2024) https://doi.org/10.1117/12.3027910
Event: Optical Engineering + Applications, 2024, San Diego, California, United States

Abstract

When laser light beams are allowed to propagate from one end of a muti-mode optical fiber to the other end and further to be output onto a screen, irregular patterns called as speckle patterns can be observed in an output light spot. The authors previously reported the rotating phenomenon of such speckle patterns when the optical fiber was placed onto a support plate in a loop-shape and the support plate was tilted. In this paper, the method for estimating tilted angles of the support plate was tried through classification of speckle pattern images by ResNet-18 trained using transfer learning. As a result, the model with a classification accuracy of approximately 99.9% in the measurement range of -10 to +10 degrees of tilted angles was realized.

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

Citation Download Citation

Ryusei Sato and Makoto Hasegawa "Analysis of rotation phenomena of speckle patterns in an output light spot from multimode optical fiber with deep learning scheme", Proc. SPIE 13138, Applications of Machine Learning 2024, 131380T (3 October 2024); https://doi.org/10.1117/12.3027910

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