Hyperspectral S3 imager using liquid crystal polarized grating and its demonstration of material classification with deep learning

Masato Suzuki; Kimitaka Doi; Moritsugu Sakamoto; Kohei Noda; Tomoyuki Sasaki; Nobuhiro Kawatsuki; Hiroshi Ono

doi:10.1117/12.3027403

30 September 2024 Hyperspectral S₃ imager using liquid crystal polarized grating and its demonstration of material classification with deep learning

Masato Suzuki, Kimitaka Doi, Moritsugu Sakamoto, Kohei Noda, Tomoyuki Sasaki, Nobuhiro Kawatsuki, Hiroshi Ono

Author Affiliations +

Proceedings Volume 13121, Liquid Crystals XXVIII; 1312108 (2024) https://doi.org/10.1117/12.3027403
Event: Organic Photonics + Electronics, 2024, San Diego, California, United States

Abstract

We have constructed a near-infrared hyperspectral S₃ imager consisting of a circularly polarized broadband light source, a liquid crystal polarization grating, and a commercial hyperspectral camera. The circular polarization diffraction efficiency of the polarization grating was over 99 percent at 1550 nm. This imager is capable of obtaining both hyperspectral circular polarization distributions and conventional hyperspectral images. Using the S₃ hyperspectral imager, we demonstrated the classification of plastic samples with a deep learning algorithm, which can be applied to waste classification in recycling plants.

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

Citation Download Citation

Masato Suzuki, Kimitaka Doi, Moritsugu Sakamoto, Kohei Noda, Tomoyuki Sasaki, Nobuhiro Kawatsuki, and Hiroshi Ono "Hyperspectral S₃ imager using liquid crystal polarized grating and its demonstration of material classification with deep learning", Proc. SPIE 13121, Liquid Crystals XXVIII, 1312108 (30 September 2024); https://doi.org/10.1117/12.3027403

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