The DoD recognizes the benefits of resilient, flexible, and responsive sustainment strategies. FTL strives to support these needs by providing essential, targeted applications designed to make inspections and maintenance operations faster, more accurate and effective, and more traceable.
FTL projects address aircraft maintenance involving mechanical systems, fuel and oil quality, and manufacturing or maintenance FOD inspections. These applications can also be applied to ships or other high value assets. Our flaw prediction algorithms can be applied to additive manufacturing processes and structure inspections.
FTL’s DADTMA addresses life cycle sustainment needs at aircraft depots by providing a platform for rapidly ingesting data and digitizing that data in a digital twin database for reporting and comparison across similar aircraft and within repeat maintenance events for the same aircraft.
Similarly, FTL’s SDARIT, automates pier and bridge inspection by detecting and cataloging inventory and damage from 3D point clouds.
While AM systems, especially metal AM, bring revolutionary capabilities and have the potential to reduce supply chain issues and enable new designs through unique layer-by-layer fabrication capabilities, AM technologies currently suffer from defects that exist within the components. Defects such as porosity, inclusions, large-scale voids, and chemical inconsistencies can inhibit the functional performance of a part and reduce confidence in designing parts for AM.
DADTMA (Data Analysis and Decision Tool for Mission Assurance) is a strategic risk assessment tool designed for the Department of Defense. It enables rapid evaluation of mission-critical systems by integrating data sources, visualizing risk factors, and supporting data-driven decision-making at the operational level.
This contamination detection system was developed to identify and analyze fluid-fluid interactions in critical aerospace systems. Using advanced sensors and automated diagnostics, it enables early detection of cross-contamination events to prevent system failure and ensure mission continuity.
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.
FTL’s “FRAMER” (Fast Reconstruction of Architectural Models from Existing Resources) system has been developed for the Chemical and Biological Defense (CBD) program of the DoD. It combines specially trained neural networks with advanced 3D processing algorithms and intelligent data exports to enable high quality building model generation from both blueprints and photographs, and parameter exports for accurate transport and dispersion simulation.
OilEye is a real-time fuel monitoring system developed to detect contamination and performance issues in military aircraft. It combines sensor data with predictive analytics to enhance maintenance efficiency and reduce the risk of in-flight engine failures.
SDARIT (Secure Distributed AR Integration Toolkit) is a framework for deploying augmented reality solutions in secure, networked environments. Designed for defense applications, it enables real-time collaboration and visualization while maintaining strict cybersecurity and data integrity standards.
SHR3DR is a compact 3D scanning and reconstruction system developed for field use in defense and engineering applications. It captures high-resolution spatial data to enable rapid modeling, reverse engineering, and integration into digital twin environments.
VAME (Virtual Assessment and Modeling Environment) is a simulation platform designed to support digital twin development for defense systems. It enables virtual prototyping, behavioral analysis, and performance optimization across a range of operational scenarios.
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