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.
Howell et al. (Thu,) studied this question.