Raspberry Pi multispectral imaging camera system (PiMICS): A low-cost, skills-based physics educational tool

Here, we report on a skills-building 3D-printable, Raspberry Pi-based multispectral camera (15–25 spectral channels in the visible and near-IR) for as little as $150–$300. The cameras rely on measuring the reflectance spectra of various objects using both active and passive illumination. The cameras were used in a successful pilot program designed such that students could learn 3D modeling, 3D printing, feedback, control, image analysis, Python programming, systems integration, and machine learning, as well as spectroscopy. The students in the pilot program studied a wide array of target spectra upon completion of their cameras, showing their aid as valuable research tools. We believe this can be an important instructional tool in introductory or advanced STEM laboratory courses.

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Publication Details

Journal
American Journal of Physics
Published
2026-01-22
DOI
https://doi.org/10.1119/5.0254097
Primary Topic
Experimental and Theoretical Physics Studies
Type
article
Field-Weighted Citation Impact
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article

Raspberry Pi multispectral imaging camera system (PiMICS): A low-cost, skills-based physics educational tool

John C. Howell, César Costa Vera, Pieter Neethling, Tjaart P. J. Krüger et al.
American Journal of Physics
Experimental and Theoretical Physics Studies
article

Raspberry Pi multispectral imaging camera system (PiMICS): A low-cost, skills-based physics educational tool

John C. Howell, César Costa Vera, Pieter Neethling, Tjaart P. J. Krüger, J. Jordan, JA Naranjo, Michael A. C. Lovemore, Patrick A. T. Kinsey, Chris Koumriqian, Calvin Groenewald, Angel Mendez, Nathan Taormina, Brian Flores
article en

Abstract

Here, we report on a skills-building 3D-printable, Raspberry Pi-based multispectral camera (15–25 spectral channels in the visible and near-IR) for as little as $150–$300. The cameras rely on measuring the reflectance spectra of various objects using both active and passive illumination. The cameras were used in a successful pilot program designed such that students could learn 3D modeling, 3D printing, feedback, control, image analysis, Python programming, systems integration, and machine learning, as well as spectroscopy. The students in the pilot program studied a wide array of target spectra upon completion of their cameras, showing their aid as valuable research tools. We believe this can be an important instructional tool in introductory or advanced STEM laboratory courses.

American Journal of PhysicsVol. 94(2)
Chapman University (US), Hebrew University of Jerusalem (IL), Stellenbosch University (ZA), National Polytechnic School (EC), National Institute for Theoretical Physics (ZA), University of Pretoria (ZA)
Quality Education
Openalex Percentile: Top 80%
Experimental and Theoretical Physics Studies
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