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Next Generation IED Diagnostic Imaging System (NG-IDIS)

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: N10PC20019
Agency Tracking Number: 0921117
Amount: $99,968.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2009
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
10905 Technology Place
San Diego, CA 92127
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 James Winso
 (858) 946-6835
 winsoj@spectrallabs.com
Business Contact
 Eric Ackermann
Phone: (858) 946-6840
Email: ackermanne@spectrallabs.com
Research Institution
N/A
Abstract

Spectral Labs Incorporated (SLI) proposes to conduct a study and perform analysis in order to identify technologies showing promise
for breakthroughs in IED imaging in order to produce a Next Generation IED Diagnostic Imaging System (NG-IDIS). A key improvement in such a system would be to obviate the need for bomb technicians to approach the target multiple times to retrieve film
or imaging plates or to get the appropriate image perspective. Additionally, an advanced system must minimize time on target, maximize the operators distance from the target, and enable acquiring all the required information in a single downrange trip.
To make these improvements this SLI program will research all plausible physical phenomena to select those technologies which have an opportunity to lead to viable system configurations. The most promising of those will be numerically modeled to determine which has the best potential performance characteristics. Then a top level conceptual design will enable an independent feasibility evaluation of the selected approach. Particular technical issues that need to be addressed during this process include System Configuration, the
Image Acquisition Process, and Image Quality as well as specialized features such as adaptability to Robotic Platforms.

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

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