FURI | Spring 2021

FPGA Powered Infrared Imaging of Hypersonic Missiles

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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 Fruit

Mason Peter Fruit

Electrical engineering

Hometown: Saipan, Northern Mariana Islands, United States

Graduation date: Spring 2021

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