Bibliographic Details
Title: |
Continuous Hue-Based Self-Calibration of a Smartphone Spectrometer Applied to Optical Fiber Fabry-Perot Sensor Interrogation |
Authors: |
Aleksandr Markvart, Leonid Liokumovich, Iurii Medvedev, Nikolai Ushakov |
Source: |
Sensors, Vol 20, Iss 21, p 6304 (2020) |
Publisher Information: |
MDPI AG, 2020. |
Publication Year: |
2020 |
Collection: |
LCC:Chemical technology |
Subject Terms: |
optical fiber sensor, smartphone-based sensor interrogation, image processing, Fabry-Perot interferometer, spectral calibration, spectral interferometry, Chemical technology, TP1-1185 |
More Details: |
Smartphone-based optical spectrometers allow the development of a new generation of portable and cost-effective optical sensing solutions that can be easily integrated into sensor networks. However, most commonly the spectral calibration relies on the external reference light sources which have known narrow spectral lines. Such calibration must be repeated each time the fiber and diffraction grating holders are removed from the smartphone and reattached. Moreover, the spectrometer wavelength scale can drift during the measurement because of the smartphone temperature fluctuations. The present work reports on a novel spectral self-calibration approach, based on the correspondence between the light wavelength and the hue features of the spectrum measured using a color RGB camera. These features are caused by the nonuniformity of camera RGB filters’ responses and their finite overlap, which is a typical situation for RGB cameras. Thus, the wavelength scale should be externally calibrated only once for each smartphone spectrometer and can further be continuously verified and corrected using the proposed self-calibration approach. An ability of the plug-and play operation and the temperature drift elimination of the smartphone spectrometer was experimentally demonstrated. Conducted experiments involved interrogation of optical fiber Fabry-Perot interferometric sensor and demonstrated a nanometer-level optical path difference resolution. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
1424-8220 |
Relation: |
https://www.mdpi.com/1424-8220/20/21/6304; https://doaj.org/toc/1424-8220 |
DOI: |
10.3390/s20216304 |
Access URL: |
https://doaj.org/article/977f3348e6d34b0d9c95072779b29a7f |
Accession Number: |
edsdoj.977f3348e6d34b0d9c95072779b29a7f |
Database: |
Directory of Open Access Journals |
Full text is not displayed to guests. |
Login for full access.
|