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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

H-SB011.2-001
Low Power Tri-axial Acoustic Sensor

D11PC20237 DHS SBIR-2011.2-H-SB011.2-001-0023-I
(DHS SBIR-2011.2 Phase I)
Acoustic Vector Sensor

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

10/15/2011
to
04/30/2012
$99,995.99

U.S. Customs and Border Protection wants to extend unattended ground sensor (UGS) functionality to provide a real-time capability to track targets of interest. Progeny will develop Acoustic Vector Sensor (AVS) as a low-cost and low-power augment sensor to track airborne targets, with a small covert form factor and connecting to other UGS with a standard serial data and power interface. AVS has a compact sensor head that comprises an assembly of waterproof MEMS low-power microphones with supporting electronics and an outer foam windscreen, with proven directional acoustic processing developed for underwater submarine detection and tracking. AVS provides a real-time detection trigger and a 3-D vector line of bearing and elevation pointer, and near-real-time classification and target solution computation including range, altitude, course, and speed. Our AVS development program will add a Z-channel and a tilt-compensated compass to the sensor and new elevation angle measurement, detection, and track algorithms. UGS have intrinsic power and size limitations requiring system design tradeoffs to maximize capability and operational life, so we will integrate a very-low power microcontroller to host our autonomous detect and target pointing algorithms, which wakes a Digital Signal Processor to complete the classification and tracking process. A full range of raw and processed target data would be available to the host UGS for multi-sensor data fusion processing and to transmit contact reports. AVS is currently at TRL3, will mature to TRL4 by end of Phase I, and TRL6 by end of Phase II.

H-SB011.2-003
Mobile Device Forensics

D12PC00301 DHS SBIR-2011.2-H-SB011.2-003-0008-I
(DHS SBIR-2011.2 Phase I)
Methods to Unlock PIN/PUK Codes from SIM Cards

EWA Government Systems, Inc.
13873 Park Center Road
Suite 500
Herndon, VA 20171-3251

04/01/2012
to
11/15/2012
$69,020.65

This SBIR Phase I project for subtopic 2 under topic H-SB011.2-003 will develop technology to successfully decrypt SIM cards by acquiring or bypassing personal identity number (PIN) and personal unlocking key (PUK) codes from locked SIM cards. Cellphones and other mobile devices play an increasing role in criminal and terrorist activity. SIM cards lock either with a PIN or PUK that disables direct access to, and examination of, data on the SIM. We will develop and design a small portable forensic system that will connect to a computer or PDA. The forensic system will perform two very different methods to extract or bypass the security codes: one method is based on side channel analysis and the other method is to modify the software on the card to read the data. The results from both methods are returned to the user for further analysis. The technical objectives of this Phase I project are to demonstrate a proof-of-principle measurement using these methods and to design a small, lightweight package for the system.

H-SB011.2-005
Iris Image Quality Tool Suite for Biometric Recognition

D11PC20253 DHS SBIR-2011.2-H-SB011.2-005-0005-I
(DHS SBIR-2011.2 Phase I)
Iris Image Quality Tool Suite for Biometric Recognition

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

10/15/2011
to
04/30/2012
$99,978.76

Iris recognition is an established and successful biometric technology. It is used in clearing travelers in the UK, for border control in the UAE, and as a part of Indias Unique ID program. However, there remain significant challenges to be addressed as iris recognition matures into a viable technology which can successfully handle applications at a national level. One such important issue that the iris biometric community continues to address is the assessment and determination of iris image quality prior to analysis and enrollment of an individual. Partnering with domain experts at the West Virginia University and professors from the University of Notre Dame, Progeny Systems proposes to advance the state of iris quality metrics by developing mathematical models and algorithmic procedures which operate both in the spatial and frequency domain of segmented iris images. These metrics will be complimented with a number of new iris quality metrics that will be outlined in this proposal. When combined, the two sets of metrics are expected to provide a means to measure each quality factor listed in IQCE report. We expect that solutions that we develop will become standard elements of new commercial iris biometric systems.

H-SB011.2-006
Intelligent 'Object' Symbology

D11PC20256 DHS SBIR-2011.2-H-SB011.2-006-0027-I
(DHS SBIR-2011.2 Phase I)
Natural Language Processing and Prioritization for Contextual Symbolic Rendering

Digital Sandbox Inc.
8260 Greensboro Drive
Suite 450
McLean, VA 22102-4901

10/15/2011
to
04/30/2012
$98,804.10

With the desire to be prepared for possible threat scenarios, DHS has access to data, but it can be disparate with a mix of structured and unstructured data in very large quantities. Information from a variety of sources needs to be ingested and processed in order to determine the "what, when, where, and how bad", then presented geospatially for monitoring and analysis purposes. Constructing and maintaining a single representation of an incident ("object") which is updated over time as the details of the situation change is essential, along with the ability to prioritize the incidents being displayed to focus attention. To address these challenges, Digital Sandbox will conduct research and demonstrate software prototypes focused on the analysis, prioritization, and presentation of contextual symbolic information. The resulting capability will improve operational situational awareness at a fraction of the cost and time possible with existing technology and approaches, especially for organizations tasked with public safety operations and intelligence analysis.