Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_AT > 2022 > AM2M > AM2M.6

High speed differentiation of ore mining samples with a novel, low cost, portable multispectral image sensor

PRH Stark, Amit Solanki, Victor Murray, Augusto Barton, and Fawwaz Habbal

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate a novel multispectral filter comprising arrayed silicon nanowires in the optical near field of a commercial CMOS image sensor. The resultant camera is used for quick and high precision distinction of ore mining samples.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
A Low-Cost, Portable System for High-Speed Multispectral Optical Imaging

Ryan Sun, Matthew B. Bouchard, Sean A. Burgess, Andrew J. Radosevich, and Elizabeth M. C. Hillman
BTuD41 Biomedical Optics (BIOMED) 2010

Real-Time Quantitative Mineral Analysis (QMA) using Artificial Intelligence (AI) Enabled LIBS Sensor for Bulk Ore Sorting on Mining Conveyors

Daniel Gagnon, Francis Vanier, Josette El Haddad, Elton Soares de Lima Filho, Antoine Hamel, Christian Padioleau, Francis Boismenu, André Beauchesne, Paul Bouchard, Tony Vaillancourt, Mohamad Sabsabi, Alain Blouin, Andriy Plugatyr, and Aïssa Harhira
AM2F.5 Applied Industrial Spectroscopy (AIS) 2022

Multispectral Imaging using Polydimethylsiloxane (PDMS) Embedded Vertical Silicon Nanowires

Hyunsung Park and Kenneth B. Crozier
CTu3O.1 CLEO: Applications and Technology (CLEO:A&T) 2013

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
A Low-Cost, Portable System for High-Speed Multispectral Optical Imaging

Ryan Sun, Matthew B. Bouchard, Sean A. Burgess, Andrew J. Radosevich, and Elizabeth M. C. Hillman
BTuD41 Biomedical Optics (BIOMED) 2010

Real-Time Quantitative Mineral Analysis (QMA) using Artificial Intelligence (AI) Enabled LIBS Sensor for Bulk Ore Sorting on Mining Conveyors

Daniel Gagnon, Francis Vanier, Josette El Haddad, Elton Soares de Lima Filho, Antoine Hamel, Christian Padioleau, Francis Boismenu, André Beauchesne, Paul Bouchard, Tony Vaillancourt, Mohamad Sabsabi, Alain Blouin, Andriy Plugatyr, and Aïssa Harhira
AM2F.5 Applied Industrial Spectroscopy (AIS) 2022

Multispectral Imaging using Polydimethylsiloxane (PDMS) Embedded Vertical Silicon Nanowires

Hyunsung Park and Kenneth B. Crozier
CTu3O.1 CLEO: Applications and Technology (CLEO:A&T) 2013

View More...
Snapshot Multispectral Imaging Using a Pixel-Wise Color Polarization Image Sensor

Shuji Ono
OWP1A_04 International Conference on Optics-Photonics Design and Fabrication (ODF) 2022

Motion: A High speed, low cost, low energy chip scale optical module for co-packaging on a first-level organic substrate for HPC and Data Centers

D. Kuchta, M. Meghelli, P. Pepeljugoski, L. Schares, M. Schultz, P. Maniotis, P. Fortier, E. Tucotte, C. Bureau, M. Pion, Y. Cossette, G. Jutras, B. Sow, B. Parikh, S. Ostrander, S. Li, D. Becker, F. Gholami, H. Bagheri, F. Flens, G. Light, and B. Wang
NeTu1D.2 Photonic Networks and Devices (Networks) 2022

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use