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FOD Or Defect Hazard Analysis Twin

FTL has current and active machine vision programs for the Navy and Air Force, most notably FTL’s FODHAT (FOD Or Defect Hazard Analysis Twin) machine vision and inspection systems.

FODHAT was developed in collaboration with Northrop Grumman, and uses neural network-enhanced 2D and 3D imaging for autonomous inspection guidance during manufacturing. FTL has experience designing high fidelity vision capture and sensor systems including video, still, time-of-fight, and LIDAR. For FODHAT, FTL has combined high-resolution video capture with artificial intelligence algorithms to enable adaptive target identification detecting millimeter-sized discrepancies in fasteners, brackets, and connectors. This system has the potential to save aircraft manufacturers millions in manual inspection, which is currently a time-consuming process highly susceptible to human error.

Date Project Started: 01/16/2020
Date Project Completed: 11/16/2021
Customer: Air Force
Grantor: AFRL