 |
Open signal processing
system processes real-time inputs from existing radar
and video sensor networks and synthesizes the information
to provide automated alerts for operation centers |
|
Exploits all surveillance,
tracking, and intelligence data to identify and characterize
potentially threatening, hazardous, and illegal operations
within a regional maritime environment |
|
Precision algorithms
enable differentiation of small maritime targets from
normal sea clutter |
|
Continuous real-time
constant false alarm rate (CFAR) alert capability includes
explanatory detail, alert diagnostics, and drilldown
capability to support decision-making |
|
Distributed processing
software interfaces to existing sensors to provide classification,
identification, and monitoring of vessels of interest |
|
Exploits real-time
and archived surveillance data to identify anomalous
behavior |
|
Uses DISCOVER-ie™ intelligent
software engine developed by AST to fuse the processed
multi-source sensor information into a single integrated
real-time picture for automated scene understanding and
anomaly detection |
|
Successfully demonstrated
at the United States Coast Guard Research and Development
Center, San Francisco Vessel Traffic Service, and the
Office of Command and Control Architecture |
|
 |
| Features |
|
Wide-area
maritime surveillance |
|
Low observable
maritime target detection |
|
Automatic scene understanding |
|
Tactical decision
aid for watchstand operators |
|
Tailorable alert rates
and triggers |
| Applications |
|
Port and shoreline security |
|
Automated scene understanding |
|
Maritime domain awareness |
|
Covert shoreline operations
detection |
|
Bioterrorism surveillance |
|
|
