Particulate sensing using optical fibres and deep learning (Conference Presentation)

Ben Mills; James Grant-Jacob; Saurabh Jain; Yunhui Xie; Benita MacKay; Michael McDonnell; Matthew Praeger; Matthew Loxham; David Richardson; Robert Eason

doi:10.1117/12.2543951

9 March 2020 Particulate sensing using optical fibres and deep learning (Conference Presentation)

Ben Mills, James Grant-Jacob, Saurabh Jain, Yunhui Xie, Benita MacKay, Michael McDonnell, Matthew Praeger, Matthew Loxham, David Richardson, Robert Eason

Author Affiliations +

Proceedings Volume 11299, AI and Optical Data Sciences; 112990S (2020) https://doi.org/10.1117/12.2543951
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

We demonstrate the application of deep learning for the identification of particles, directly from their backscattered light. The particles were illuminated using a single-mode fibre-coupled laser light source and the scattered light was collected by a 30-core optical fibre. The technique enabled identification of the specific species of pollen grains with an accuracy of ~97%, even in the presence of high levels of background light equivalent to daytime sunlight. In addition, the technique determined the distance between the fibre tip and the particles with an accuracy of ± 6 µm.

Conference Presentation

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Ben Mills, James Grant-Jacob, Saurabh Jain, Yunhui Xie, Benita MacKay, Michael McDonnell, Matthew Praeger, Matthew Loxham, David Richardson, and Robert Eason "Particulate sensing using optical fibres and deep learning (Conference Presentation)", Proc. SPIE 11299, AI and Optical Data Sciences, 112990S (9 March 2020); https://doi.org/10.1117/12.2543951

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