Iron Meteorite Imaging System – Camera and Lightbox
Institution
Arizona State University (Tempe Campus)
Class
Titanium Class (2017 – 2018)
Student Team
Tim Brennan, Engineering Management
Shelby Liu, Industrial Design
Cesar Marin Margaillan, Computer Systems Engineering
Khoi Nguyen, Computer Systems Engineering
Shade T., Computer Systems Engineering
Rosalba Vargas Alarcon, Computer Systems Engineering
Albert Zhang, Computer Systems Engineering
Academic Guidance
Dean Balcazo, Assistant Professor, The Design School
Dr. Daniel McCarville, Professor of Practice, Computing, Informatics, and Decision Systems Engineering
Dr. Ryan Meuth, Lecturer, Computing, Informatics, and Decision Systems Engineering
Masudul Quraishi, Grad Service Assistant, Computing, Informatics, and Decision Systems Engineering
Project Description
To prepare for scientific investigations at Psyche, meteorite experts from ASU and the Smithsonian Institution seek an imaging system 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 the can replicate the human expertise. To work towards this goal, this team designed and built a prototype imaging system based on a camera and lightbox to image meteorite samples so that each image has the exact same lighting and image quality.