An open-source camera system for experimental measurements

Kim Miikki; Alp Karakoç; Mahdi Rafiee; Duck Weon Lee; Jaana Vapaavuori; Jennifer Tersteegen; Laura Lemetti; Jouni Paltakari

doi:10.1016/j.softx.2021.100688

An open-source camera system for experimental measurements

Kim Miikki, Alp Karakoç^*, Mahdi Rafiee, Duck Weon Lee, Jaana Vapaavuori, Jennifer Tersteegen, Laura Lemetti, Jouni Paltakari

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

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.

Original language	English
Article number	100688
Number of pages	9
Journal	SoftwareX
Volume	14
DOIs	https://doi.org/10.1016/j.softx.2021.100688
Publication status	Published - Jun 2021
MoE publication type	A1 Journal article-refereed

Keywords

Digital image processing
Non-contact optical measurements
Open-source initiative
Raspberry Pi

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1_s2.0_S2352711021000339_main.pdfFinal published version, 2.49 MBLicence: CC BY-NC-ND

Cite this

@article{20cb97cfbf5345a4a758ab56bdc8dc0f,

title = "An open-source camera system for experimental measurements",

abstract = "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.",

keywords = "Digital image processing, Non-contact optical measurements, Open-source initiative, Raspberry Pi",

author = "Kim Miikki and Alp Karako{\c c} and Mahdi Rafiee and Lee, {Duck Weon} and Jaana Vapaavuori and Jennifer Tersteegen and Laura Lemetti and Jouni Paltakari",

note = "Funding Information: KM and AK generated the concept. KM, as the main programmer, and AK wrote the scripts to realize the work. KM, AK and MR conducted DIC owing to Kim Widell at the Department of Mechanical Engineering, Aalto University. DL and JV conducted photoisomerization experiments and the RGB analysis, JT and LL carried out lap shear tests with the high-speed camera option. KM conducted the contact (wetting) angle measurements with Timo Kotilahti and MR. All the authors contributed to the manuscript writing while AK edited and finalized the manuscript. DL and JV gratefully acknowledge the funding from Academy of Finland SUPER-WEAR project (decision number 322214 ). AK gratefully acknowledges the Research Fellowship at the School of Electrical Engineering and funding from the Academy of Finland BESIMAL project (decision number 334197 ). Funding Information: KM and AK generated the concept. KM, as the main programmer, and AK wrote the scripts to realize the work. KM, AK and MR conducted DIC owing to Kim Widell at the Department of Mechanical Engineering, Aalto University. DL and JV conducted photoisomerization experiments and the RGB analysis, JT and LL carried out lap shear tests with the high-speed camera option. KM conducted the contact (wetting) angle measurements with Timo Kotilahti and MR. All the authors contributed to the manuscript writing while AK edited and finalized the manuscript. DL and JV gratefully acknowledge the funding from Academy of Finland SUPER-WEAR project (decision number 322214). AK gratefully acknowledges the Research Fellowship at the School of Electrical Engineering and funding from the Academy of Finland BESIMAL project (decision number 334197). Publisher Copyright: {\textcopyright} 2021 The Author(s) Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2021",

month = jun,

doi = "10.1016/j.softx.2021.100688",

language = "English",

volume = "14",

journal = "SoftwareX",

issn = "2352-7110",

publisher = "Elsevier",

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AU - Miikki, Kim

AU - Karakoç, Alp

AU - Rafiee, Mahdi

AU - Lee, Duck Weon

AU - Vapaavuori, Jaana

AU - Tersteegen, Jennifer

AU - Lemetti, Laura

AU - Paltakari, Jouni

N1 - Funding Information: KM and AK generated the concept. KM, as the main programmer, and AK wrote the scripts to realize the work. KM, AK and MR conducted DIC owing to Kim Widell at the Department of Mechanical Engineering, Aalto University. DL and JV conducted photoisomerization experiments and the RGB analysis, JT and LL carried out lap shear tests with the high-speed camera option. KM conducted the contact (wetting) angle measurements with Timo Kotilahti and MR. All the authors contributed to the manuscript writing while AK edited and finalized the manuscript. DL and JV gratefully acknowledge the funding from Academy of Finland SUPER-WEAR project (decision number 322214 ). AK gratefully acknowledges the Research Fellowship at the School of Electrical Engineering and funding from the Academy of Finland BESIMAL project (decision number 334197 ). Funding Information: KM and AK generated the concept. KM, as the main programmer, and AK wrote the scripts to realize the work. KM, AK and MR conducted DIC owing to Kim Widell at the Department of Mechanical Engineering, Aalto University. DL and JV conducted photoisomerization experiments and the RGB analysis, JT and LL carried out lap shear tests with the high-speed camera option. KM conducted the contact (wetting) angle measurements with Timo Kotilahti and MR. All the authors contributed to the manuscript writing while AK edited and finalized the manuscript. DL and JV gratefully acknowledge the funding from Academy of Finland SUPER-WEAR project (decision number 322214). AK gratefully acknowledges the Research Fellowship at the School of Electrical Engineering and funding from the Academy of Finland BESIMAL project (decision number 334197). Publisher Copyright: © 2021 The Author(s) Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

KW - Digital image processing

KW - Non-contact optical measurements

KW - Open-source initiative

KW - Raspberry Pi

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SN - 2352-7110

VL - 14

JO - SoftwareX

JF - SoftwareX

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ER -

An open-source camera system for experimental measurements

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Keywords

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BESIMAL: Backscatter enabled sustainable monitoring Infrastructure for assisted living (BESIMAL)

-: Super-stretchable functionalized materials and fibers for third generation wearable technology

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An open-source camera system for experimental measurements

Abstract

Keywords

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BESIMAL: Backscatter enabled sustainable monitoring Infrastructure for assisted living (BESIMAL)

-: Super-stretchable functionalized materials and fibers for third generation wearable technology

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