electro-optical (EO) sensing

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Army researchers analyzed facial recognition-based measures of emotion expression to assess trust during automated test events. (Shutterstock)

Techniques to Camouflage and Deceive AI/ML or Autonomous Systems on the Battlefield

The Defense Systems Information Analysis Center (DSIAC) was asked to research techniques for defeating adversary artificial intelligence/machine learning (AI/ML) target recognition. AI/ML research is driving the advancement of the next generation of automatic target recognition…

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Foreign Object Debris Monitoring & Cleaning Autonomous Systems

The Defense Systems Information Analysis Center (DSIAC) was asked to identify technologies to identify technologies that can detect foreign object debris (FOD) entering jet engine inlets or impacting jet engine turbine blades, as well as…

Soldier Adaptive Camouflage Technologies

Soldier EO/IR Adaptive Camouflage Technologies

DSIAC was asked to investigate recent advancements regarding fabrics, materials, nanomaterial embedded/coated fabrics, metamaterials, etc, that have the potential to manipulate and reduce soldier electro-optical/infrared (EO/IR) signatures. The inquirer was particularly interested in the advancement…