Scout | Automated Pattern-of-Life Anomaly Detection for Congested Maritime Traffic

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Automated Pattern-of-Life Anomaly Detection for Congested Maritime Traffic

This opportunity seeks to develop software that analyzes maritime vessel pattern-of-life data in crowded shipping areas. The goal is to automatically detect anomalous behavior and generate alerts to improve situational awareness and response. The focus is on automated PoL analysis tailored to congested maritime environments.

Source

Agency: U.S. Department of Defense

Program: SBIR

Phase: PHASE I

Phase: Phase II

Phase: Phase SPII

Dates

Topic Opens: June 24, 2026

Topic Closes: July 22, 2026

Eligibility

industry:defense

Keywords

pattern of life

anomaly detection

maritime security

alerting systems

vessel tracking

congested environments

automated analysis

Supporting Links

Documents

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