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Particulates sensing using optical fibres and deep learning

Particulates sensing using optical fibres and deep learning
Particulates sensing using optical fibres and deep learning
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.
Mills, Benjamin
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Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Jain, Saurabh
bf4af598-26bf-47f4-a0a4-800095a23eb5
Xie, Yunhui
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MacKay, Benita, Scout
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McDonnell, Michael, David Tom
bc7b6423-bd77-424d-81e7-4e5448e926cb
Praeger, Matthew
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Loxham, Matthew
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Richardson, David
ebfe1ff9-d0c2-4e52-b7ae-c1b13bccdef3
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Jain, Saurabh
bf4af598-26bf-47f4-a0a4-800095a23eb5
Xie, Yunhui
f2c3b0e4-8650-4e04-80e5-04505f45bdd6
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
McDonnell, Michael, David Tom
bc7b6423-bd77-424d-81e7-4e5448e926cb
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Richardson, David
ebfe1ff9-d0c2-4e52-b7ae-c1b13bccdef3
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020

Mills, Benjamin, Grant-Jacob, James, Jain, Saurabh, Xie, Yunhui, MacKay, Benita, Scout, McDonnell, Michael, David Tom, Praeger, Matthew, Loxham, Matthew, Richardson, David and Eason, Robert (2019) Particulates sensing using optical fibres and deep learning. SPIE Photonics West, San Francisco, United States. 01 - 06 Feb 2020. (Submitted)

Record type: Conference or Workshop Item (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.

Full text not available from this repository.

More information

Submitted date: 24 July 2019
Venue - Dates: SPIE Photonics West, San Francisco, United States, 2020-02-01 - 2020-02-06

Identifiers

Local EPrints ID: 432992
URI: https://eprints.soton.ac.uk/id/eprint/432992
PURE UUID: 6f56784f-dca0-4c5c-9392-345a7b926b58
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Benita, Scout MacKay: ORCID iD orcid.org/0000-0003-2050-8912
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X
ORCID for David Richardson: ORCID iD orcid.org/0000-0002-7751-1058
ORCID for Robert Eason: ORCID iD orcid.org/0000-0001-9704-2204

Catalogue record

Date deposited: 06 Aug 2019 16:30
Last modified: 07 Aug 2019 00:53

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