Problem assembling output for item: 3-101-37440 with template: eduIANavTop exception: Current state = CODING_END, new state = CODING see log for stack trace
The Network‐Centric Systems Engineering (NCSE) Lab
Problem assembling output for item: 3-101-37440 with template: eduNavBreadcrumbs exception: Current state = CODING_END, new state = CODING see log for stack trace
The NCSE Lab demonstrates the “Watchman System” smart environment, which is a multi‐sensor system of systems for network‐centric behavior analysis for automated situation awareness and alerting.
The Fixed Camera System consists of a 40+ camera network covering the 2nd floor of Bullard hall with capability of human detection, human posture classification, face recognition, and person color signature identification.
The Kiosk System consists of two Pan‐Tilt‐Zoom cameras and 8 microphones for human computer interactive ambient control capability, including capability for voice detection, hand gesture recognition and face recognition.
The Internal Unmanned Ground Vehicle system consists of LegoStorm robots with capability of automatically being sent to specified locations in the lab, upon detection of abnormal behavior.
The External Unmanned Ground Vehicle system consists of over a dozen Surveyor, outside, rugged robots with stereo cameras, GPS, IR sensor, and compass for mobile Situation awareness capability.
The Unmanned Aerial Vehicle system consists of two tethered blimps which have camera, GPS, IR sensor and compass.
Finally, the Command and Control System, inputs the intelligence automatically extracted from the previously mentioned system (Fixed Camera System, ...) and performs global situation awareness by automatically detecting normal, abnormal, and unknown behaviors by people in the 2nd floor of Bullard Hall. The C2 System also consists of Commanding Officer Executive Interface which visualizes the automated intelligence process, including receiving and acknowledging automated alerts.
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