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Rapidly Deployable Wireless Autonomous Surveillance & Warning System

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-06-C-0065
Agency Tracking Number: A052-224-0238
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A05-224
Solicitation Number: 2005.2
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-11-18
Award End Date (Contract End Date): 2006-05-18
Small Business Information
200 Greenleaf St.
Fort Worth, TX 76107
United States
DUNS: 008038846
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Kartik Moorthy
 Electrical Engineer
 (817) 872-1500
 kartik.moorthy@williams-pyro.com
Business Contact
 Brent Williams
Title: Vice President
Phone: (817) 872-1500
Email: brent.williams@williams-pyro.com
Research Institution
N/A
Abstract

Williams-Pyro, Inc. proposes to develop a network of portable, plug-and-play, distributed surveillance systems called Secure Wireless Ad-hoc Network Surveillance (SWANS) that integrates multiple disparate sensors (e.g., standard video, IR camera, seismic, chemical, acoustic sensors), automates processing, and provides key intelligence information to backend computer systems. SWANS system uses an ad hoc network of Wireless Sensor Nodes (WSN) that collects and processes data from existing mature sensors. In addition to processing visual information, the WSNs will process and transmit other sensory data such as that of intrusion detection, vibration, chemical detection, and other RF-based sensors, enabling SWANS to collaborate with existing C2 and C4ISR capabilities. As the WSNs collect data about the environment, they collaborate to assemble a comprehensive interpretation of the environment. The WSN processes all sensor data and sends it to a backend monitoring system. This backend monitoring system hosts agent-based software to perform several functions: condition monitoring; target identification, detection and classification; and geo-location. Once SWANS interprets the environment/target, it automatically updates the tasking for individual sensor systems to resolve remaining ambiguity or improve the system's ability to assess activity in the environment. Thus, SWANS provides maximum information with minimal human intervention.

* Information listed above is at the time of submission. *

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