Maritime Anomaly Detection
This application focuses on automatically detecting suspicious or abnormal vessel behavior across large ocean areas, with a particular emphasis on “dark” ships that switch off AIS/transponders to evade monitoring. By continuously analyzing satellite imagery, radar, RF, and AIS data, the system flags vessels, routes, and patterns that diverge from normal maritime activity, such as unusual loitering, covert rendezvous, or inconsistent identity and location data. It matters because manual maritime surveillance cannot keep pace with the scale of global sea traffic or the sophistication of illicit actors involved in smuggling, illegal fishing, sanctions evasion, piracy, and covert military operations. AI systems ingest multi-sensor data, automatically detect vessels (including non-cooperative ones), and rank anomalies by risk, turning raw sensor feeds into actionable intelligence that maritime security, defense, and law-enforcement organizations can act on quickly and reliably.
The Problem
“Unmasking Dark Vessels with AI-Driven Maritime Surveillance”
Organizations face these key challenges:
Missed detection of AIS-silent ('dark') vessels evading conventional monitoring
Delayed reporting and escalation due to manual video/image analysis
Operator overload from false positives and data deluge
Inability to correlate multi-source data (SAR, RF, AIS) for behavioral anomalies
Impact When Solved
Technologies
Technologies commonly used in Maritime Anomaly Detection implementations: