Share Email Print
cover

Proceedings Paper

Particulate sensing using optical fibres and deep learning (Conference Presentation)
Author(s): Ben Mills; James Grant-Jacob; Saurabh Jain; Yunhui Xie; Benita MacKay; Michael McDonnell; Matthew Praeger; Matthew Loxham; David Richardson; Robert Eason

Paper 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.

Paper Details

Date Published: 9 March 2020
PDF
Proc. SPIE 11299, AI and Optical Data Sciences, 112990S (9 March 2020); doi: 10.1117/12.2543951
Show Author Affiliations
Ben Mills, Univ. of Southampton (United Kingdom)
James Grant-Jacob, Univ. of Southampton (United Kingdom)
Saurabh Jain, Univ. of Southampton (United Kingdom)
Yunhui Xie, Univ. of Southampton (United Kingdom)
Benita MacKay, Univ. of Southampton (United Kingdom)
Michael McDonnell, Univ. of Southampton (United Kingdom)
Matthew Praeger, Univ. of Southampton (United Kingdom)
Matthew Loxham, Univ. of Southampton (United Kingdom)
David Richardson, Univ. of Southampton (United Kingdom)
Robert Eason, Univ. of Southampton (United Kingdom)


Published in SPIE Proceedings Vol. 11299:
AI and Optical Data Sciences
Bahram Jalali; Ken-ichi Kitayama, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray