Iron Meteorite Imaging System – Tempe


Arizona State University (Tempe Campus)
Northern Arizona University


Cobalt Class (2019 – 2020)


Tyler Aanenson, Computer Systems Engineering
Alex Bertram, Electrical Engineering
Josue Mull, Mechanical Engineering
Andrew Murza, Computer Systems Engineering
Andrew Pyykkonen, Engineering Management
Brendan Scobie, Electrical Engineering
Tabatha Trigler, Astronomy (Physics and Geology Minors), Northern Arizona University
Mahinalani Wing, Mechanical Engineering
Alex Zumbuhl, Mechanical Engineering

Scientific Guidance

Dr. Laurence Garvie, Research Professor, School of Earth and Space Exploration, ASU


Dr. Joe Juarez, Lecturer, School of Computing, Informatics, and Decision Systems Engineering, ASU
Dr. Michael Kozicki, Professor, School of Electrical, Computer and Energy Engineering, ASU
Dr. Ryan Meuth, Senior Lecturer, School of Computing, Informatics, and Decision Systems Engineering, ASU
Dr. Abdel Shuaib, Professor of Practice, School for Engineering of Matter, Transport and Energy, ASU


To prepare for scientific investigations at Psyche, an imaging system is sought to help determine the bulk chemical compositions of iron meteorites from their optical images. Meteorite experts use their knowledge to recognize the inclusions in meteorites based primarily on color, texture, and reflectivity. A major challenge of this project is to translate this human knowledge to an automated recognition system that can replicate the human expertise. To work towards this goal, teams are designing and building an imaging system to be used to image meteorite samples so that each image has the exact same lighting and image quality.

This work was created in partial fulfillment of Arizona State University Capstone Courses “EEE 488, CSE 423, IEE 485, & MEE 488”. The work is a result of the Psyche Student Collaborations component of NASA’s Psyche Mission ( “Psyche: A Journey to a Metal World” [Contract number NNM16AA09C] is part of the NASA Discovery Program mission to solar system targets. Trade names and trademarks of ASU and NASA are used in this work for identification only. Their usage does not constitute an official endorsement, either expressed or implied, by Arizona State University or National Aeronautics and Space Administration. The content is solely the responsibility of the authors and does not necessarily represent the official views of ASU or NASA.