An open-source camera system for experimental measurements
We present an affordable, yet accurate and modular camera system solution developed on Raspberry Pi 4/4 GB platform with Raspberry v2.x and HQ camera modules with 8 and 12.3 megapixels still resolutions, respectively. The system uses freely available Python scripts and libraries for digital image pr...
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doaj-f126101cc91542cea6ff396a657b56df2021-05-26T04:27:40ZengElsevierSoftwareX2352-71102021-06-0114100688An open-source camera system for experimental measurementsKim Miikki0Alp Karakoç1Mahdi Rafiee2Duck Weon Lee3Jaana Vapaavuori4Jennifer Tersteegen5Laura Lemetti6Jouni Paltakari7Aalto University, School of Chemical Engineering, Espoo, FinlandAalto University, Department of Bioproducts and Biosystems, Espoo, Finland; Aalto University, Department of Communications and Networking, Espoo, Finland; Corresponding author at: Aalto University, Department of Communications and Networking, Espoo, Finland.Aalto University, Department of Bioproducts and Biosystems, Espoo, FinlandAalto University, Department of Chemistry and Materials Science, Espoo, FinlandAalto University, Department of Chemistry and Materials Science, Espoo, FinlandAalto University, Department of Bioproducts and Biosystems, Espoo, FinlandAalto University, Department of Bioproducts and Biosystems, Espoo, FinlandAalto University, Department of Bioproducts and Biosystems, Espoo, FinlandWe present an affordable, yet accurate and modular camera system solution developed on Raspberry Pi 4/4 GB platform with Raspberry v2.x and HQ camera modules with 8 and 12.3 megapixels still resolutions, respectively. The system uses freely available Python scripts and libraries for digital image processing and non-contact optical measurements under MIT licenses as a contribution to the open-source initiative. Several investigations were conducted with the present system, which were two-dimensional (2D) digital image correlation (DIC) for the displacement and strain analysis, the kinetic analysis of the photoisomerization of the spiropyran (a model system for a time-dependent chemical reaction yielding molecules with differing color with respect to starting material) with time-lapse photography, lap shear tests with the assistance of high-speed image capturing and contact (wetting) angle measurements with still images and time-lapse photography. These studies show that the camera system, setups and scripts can be confidently integrated into the chemical, physical and mechanical tests.http://www.sciencedirect.com/science/article/pii/S2352711021000339Raspberry PiDigital image processingNon-contact optical measurementsOpen-source initiative |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kim Miikki Alp Karakoç Mahdi Rafiee Duck Weon Lee Jaana Vapaavuori Jennifer Tersteegen Laura Lemetti Jouni Paltakari |
spellingShingle |
Kim Miikki Alp Karakoç Mahdi Rafiee Duck Weon Lee Jaana Vapaavuori Jennifer Tersteegen Laura Lemetti Jouni Paltakari An open-source camera system for experimental measurements SoftwareX Raspberry Pi Digital image processing Non-contact optical measurements Open-source initiative |
author_facet |
Kim Miikki Alp Karakoç Mahdi Rafiee Duck Weon Lee Jaana Vapaavuori Jennifer Tersteegen Laura Lemetti Jouni Paltakari |
author_sort |
Kim Miikki |
title |
An open-source camera system for experimental measurements |
title_short |
An open-source camera system for experimental measurements |
title_full |
An open-source camera system for experimental measurements |
title_fullStr |
An open-source camera system for experimental measurements |
title_full_unstemmed |
An open-source camera system for experimental measurements |
title_sort |
open-source camera system for experimental measurements |
publisher |
Elsevier |
series |
SoftwareX |
issn |
2352-7110 |
publishDate |
2021-06-01 |
description |
We present an affordable, yet accurate and modular camera system solution developed on Raspberry Pi 4/4 GB platform with Raspberry v2.x and HQ camera modules with 8 and 12.3 megapixels still resolutions, respectively. The system uses freely available Python scripts and libraries for digital image processing and non-contact optical measurements under MIT licenses as a contribution to the open-source initiative. Several investigations were conducted with the present system, which were two-dimensional (2D) digital image correlation (DIC) for the displacement and strain analysis, the kinetic analysis of the photoisomerization of the spiropyran (a model system for a time-dependent chemical reaction yielding molecules with differing color with respect to starting material) with time-lapse photography, lap shear tests with the assistance of high-speed image capturing and contact (wetting) angle measurements with still images and time-lapse photography. These studies show that the camera system, setups and scripts can be confidently integrated into the chemical, physical and mechanical tests. |
topic |
Raspberry Pi Digital image processing Non-contact optical measurements Open-source initiative |
url |
http://www.sciencedirect.com/science/article/pii/S2352711021000339 |
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