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.
FTL personnel have a long history of fluid monitoring both for DoD and industrial clients, with expertise in flow system design, fluid-dynamic analysis, optical access, and data acquisition. Working for the Navy, Army, and Air Force, FTL has shown in-flow detection and discrimination of sediment, water, and wear particles.
For the OilEye project, FTL designed isokinetic flow cells and custom AI classifier software capable of combining thousands of frames of imagery to extract particle size distribution and other parameters necessary for process monitoring.
FTL uses parallel processing to enable classification of thousands of particles against training sets from tens to hundreds of thousands of test cases in seconds. This allows discrimination of water and sediment particles, as well as identification of biological organisms in fluid flows.
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