Turbine One’s tagline is “AI/ML for the Comms-Contested Battlefield” and after learning about what they are doing, that sums it up quite nicely. For those of you unfamiliar with the terms, AI/ML means Artificial Intelligence and Machine Learning. Those both sound like ominous futuristic concepts but Turbine One’s Frontline Perception System (FPS) makes it not only real, but user friendly.
Unlike current systems fielded with vendor-locked software which cannot move between sensors or devices, FPS combines open system architecture across any network, even in in comms-contested environments, and sensor data fusion.
FPS can be deployed on entire enterprise, desktops, laptops and End User Devices whether connected to a network or not. In fact, it’s optimized for use at the operator level.
It deploys algorithms at the tactical edge to characterize sensor data and provide relevant information to the user. The user can also interact with the system, introducing new items of interest without having to code using their AutoML.
Here you can see an example of the AI identifying a gun. Just prior to taking this photo the system was programmed using AutoML to characterize the pistol after identifying it in several images. It was just that simple.
Finally, TurbineOne routinely partners with third parties to deliver ML to the frontlines.