Multi-Platform Sensor Surveillance Network for Range Control

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CE64P
Agency Tracking Number: 084954
Amount: $99,923.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: O2.01
Solicitation Number: N/A
Small Business Information
Prioria, Inc.
104 N. Main St., 2nd Floor, Gainesville, FL, 32601-3346
DUNS: 140987723
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lee Hunt
 Principal Investigator
 (352) 505-2188
 lee.hunt@prioria.com
Business Contact
 Amir Rubin
Title: Director of Core Technologies
Phone: (352) 505-2188
Email: amir.rubin@prioria.com
Research Institution
N/A
Abstract
Prioria (Gainesville, FL) and its partners Aerial Products (Deland, FL) and Meridian Systems LLC (Titusville, FL) propose to develop a revolutionary new type of system which is both modular and standardized, and which can effectively interface with existing sensors such as range radar and acoustic intrusion detectors. The system for launch surveillance/intrusion detection is based on a network of uncooled long wavelength infrared (LWIR) imagers with associated Global Positioning System (GPS) sensors and magnetic compass heading indicators, integrated into a small package which can be deployed on small unmanned aerial vehicles (UAV), balloons or blimps, and fixed towers. Infrared imagers are chosen for their day/night and all-weather capability and because recent advances in uncooled technology has allowed the price of these sensors to become low enough for fielding a relatively large number of imagers in a cost effective manner. These LWIR sensors and integrated instrumentation will provide for the remote detection, recognition, and identification of persons and objects that have intruded into areas of the range that must be cleared in order to conduct safe launch operations. In order to achieve accurate identification, the time and position of potential intrusions will be recorded in a "track file" for each detection incidence. Data fusion techniques will fuse tracks from various sensors into a single track when possible, and objects will be tracked with multi-target tracking techniques as necessary. This will require the use of encrypted communication, so track data and associated intruder imagery from individual sensors can be combined at a centralized control station as a fused track file. In the cases where intrusions are deemed security risks, further action can be undertaken, such as deployment of a small UAV to the intrusion site for real time observation, while range control and security evaluate the situation.

* information listed above is at the time of submission.

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