Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Material Imaging Analyzer MIA
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2022 (English)In: 2022 IEEE Sensors Applications Symposium, SAS 2022 - Proceedings, IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

In this work, Sinewave Pulse Width Modulation (SPWM) of light sources is proposed to be used for spectral imaging and vibrational spectroscopy. Three Light Emitting Diodes (LEDs) transmit SPWM light at different sinewave frequencies and at 1050, 1300 and 1550 nm respectively. A video camera records the active illumination, reflected in the surface to be analyzed and simultaneously for all three LEDs. A similar demodulation method as for lock-in amplifiers is used to demodulate every single pixel into three spectral channels. Experimental results show that this material imaging analyzer, called MIA, can be used for vibrational spectroscopy such that snow, ice, water and plastic are classified from their corresponding spectral signatures at an overall success rate of 92%. Spectral signatures in this particular case are generated from sensing reflection of light at three wavelengths. MIA must thus be configured with LEDs having wavelengths suitable for the particular application. The response of the MIA light sources and the indium gallium arsenide InGaAs detector is close to perfectly linear. Peak signal to noise ratio PSNR was measured to be 54 dB. 

Place, publisher, year, edition, pages
IEEE, 2022.
Keywords [en]
calibration, fpga, ice detection, infrared, InGaAs, light modulation, lock-in, SoC, spectral imaging, SPWM, vibrational spectroscopy
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-46300DOI: 10.1109/SAS54819.2022.9881374ISI: 000861380600048Scopus ID: 2-s2.0-85139156348ISBN: 9781665409810 (print)OAI: oai:DiVA.org:miun-46300DiVA, id: diva2:1704984
Conference
17th IEEE Sensors Applications Symposium, SAS 2022, 1 August 2022 through 3 August 2022
Available from: 2022-10-20 Created: 2022-10-20 Last updated: 2022-11-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Thörnberg, Benny

Search in DiVA

By author/editor
Thörnberg, Benny
By organisation
Department of Electronics Design
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 75 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf