"The platform ingests data from multiple sensors, such as air, land, sea, and space-based imagery and signals, to detect battlefield threats like drones, enemy positions, or other targets. FPS does all of that in a no-code, hardware-agnostic environment that lets the average soldier in the field "build, retrain, and deploy custom machine learning models at the edge without coding," according to the company. Most critically, FPS is designed to operate without a connection to the internet or cloud services."
"The US Army is preparing to deploy a new AI product that promises to automatically identify and track potential targets on the battlefield. However, humans will continue to make life and death decisions. San Francisco AI startup TurbineOne announced on Thursday that the Army has awarded it a five-year contract worth up to $98.9 million to take its flagship Frontline Perception System (FPS) from small-scale pilot projects to what a company spokesperson described to The Register as a "production-scale" contract."
US Army awarded TurbineOne a five-year contract worth up to $98.9 million to scale deployment of the Frontline Perception System (FPS). FPS is a model-agnostic machine learning platform that ingests air, land, sea, and space-based imagery and signals to detect battlefield threats such as drones and enemy positions. The platform runs in a no-code, hardware-agnostic environment that enables soldiers to build, retrain, and deploy custom models at the edge without coding. FPS operates entirely on local devices without internet or cloud connections and can deliver actionable intelligence to smartphones. TurbineOne has tested FPS across military branches and applied it to non-combat tasks like airfield debris detection. Humans will retain life-and-death decision authority.
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