Anomalous Behavior Detection and Alerting for Congested Maritime Environments
AI Overview
The Navy seeks an automated anomaly detection system that identifies potentially threatening maritime and air contacts hidden within congested shipping environments by analyzing pattern-of-life behaviors from AIS, ADS-B, and radar data. This capability would reduce operator workload and improve threat detection accuracy for Ship Self-Defense System platforms transiting high-traffic regions.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
U.S. Navy platforms defended by the Ship Self-Defense System (SSDS) combat system frequently transit maritime regions of the world that are congested with oceangoing vessels and aircraft traffic, which may include fishing vessels, tankers and cargo container ships, commercial airliners, or hostile entities such as enemy surface combatants or anti-air warfare (AAW) threats. In those congested maritime environments, enemies may attempt to hide within the noise of maritime congestion in an effort t...
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Anomalous Behavior Detection and Alerting for Congested Maritime Environments
New opportunity: Anomalous Behavior Detection and Alerting for Congested Maritime Environments
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