FURI | Spring 2021
FPGA Powered Infrared Imaging of Hypersonic Missiles
This research project explores the applicability of low-altitude hypersonic missile detection using artificial intelligence (AI) implemented on a field-programmable gate array (FPGA). The ability to defend against hypersonic missiles depends on the ability to accurately detect them. Low-power FPGAs are a potential solution to this problem. Research into how well FPGA-based AI algorithms are able to detect high-speed missiles is important to the future-proofing of the world’s civilian defense systems.
Student researcher
Mason Peter Fruit
Electrical engineering
Hometown: Saipan, Northern Mariana Islands, United States
Graduation date: Spring 2021