Iron Meteorite Imaging System – Tempe
INSTITUTION
Arizona State University (Tempe Campus)
Northern Arizona University
CLASS
Cobalt Class (2019 – 2020)
STUDENT TEAM
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
ACADEMIC GUIDANCE
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
PROJECT DESCRIPTION
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.