Biometrics Enabled Intelligence

Abstract

The Next Generation Biometrics Collection Capability (NXGBCC) is the replacement system for the Biometrics Automated Toolset-Army (BAT-A). The BAT-A is the current Army Program of Record for tactical biometrics collection capability. The BAT-A was originally developed as a Quick Reaction Capability. These devices have been deployed in a combat zone for over 19 years, well beyond the standard 3 to 6 years of useful electronic equipment life. NXGBCC will be an integrated system of Commercial-Off-The-Shelf (COTS) hardware and software, comprising a kit, data base, and transport architecture. NXGBCC will be capable of operating on multiple communications networks and achieve near real-time identity matching and data synchronization. NXGBCC will add to the number of biometric modalities collected, provide matches to the Warfighter in less than 3 minutes, increase the data sharing capability, and reduce weight, power, and cost. NXGBCC will use a Local Trusted Source composed of a distributed database capable of being used worldwide, data management software, forward biometric matching software, and an analysis portal. Also, the NXGBCC collection kit(s) will be composed of 1 or more collection devices, a credential/badge device, and document scanning device. Beginning with FY 2020, funding for NXGBCC previously reflected in project BI7 has been moved to project FL5. Identity Intelligence Repository (I2AR) will serve as an analytical tool to produce, manage, and disseminate the DoD Biometrically Enabled Watchlist (BEWL) as well as extend opportunities for system and data integration with enhanced analytic data sharing across the Army and Intelligence Community (IC) partners. Analysts will use I2AR to conduct analysis and develop intelligence reports, in support of DoD and national community missions. I2AR will include the legacy Biometric Identity Intelligence Resource (BI2R) functionality as well as elasticity, encryption, and open source software for enduring interoperability with DoD, IC, and external partners. Justification: Beginning with FY 2020, funding for NXGBCC previously reflected in project BI7 has been moved to project FL5. The $2.000 million of FY 2020 Base Funding in FL5 will complete the prototype selection process via the Other Transaction Agreement (OTA) started in FY 2018. Also, the program office will begin Operational and Interoperability Testing along with New Equipment Training development. The FY 2020 OCO of $2.214 million in BI7 will continue to support the development of new software code & associated testing to deliver the Identity Intelligence Analytic Resource (I2AR) a replacement for the Biometrics Identity Intelligence Repository (BI2R -the unique software-based analytic production system used by DoD's intelligence analysts to create products such as the Biometric Enabled Watchlist for Operation Freedom's Sentinel (OFS) and other worldwide missions) on cloud computing platforms.

Document Details

• Document Type: R2 Budgetary Justification
• Publication Date: Oct 01, 2020
• Source ID: 0307665A_7_2040_PB_2020
• Change Summary Explanation: The FY 2020 Base funding request in FL5 for NXGBCC was reduced by $2.800 million to support other Army requirements. I2AR received FY 2020 OCO funding in BI7 for continued support of the development of new software code and associated testing.
• Service Agency Name: Army

Entities

Organizations

• United States Army

Tags

Communities of Interest

• Energy and Power Technologies
• Human Systems

DTIC Thesaurus Topics

• Acquisition
• Agreements
• Analysts
• Civilian Personnel
• Contracts
• Cost Analysis
• Data Integration
• Data Management
• Databases
• Electronic Equipment
• Integrated Systems
• Intelligence Analysts
• Intelligence Community
• Open Source Software
• Product Development
• Standards
• Test And Evaluation

Readers

• Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
• Geospatial Intelligence and Artificial Intelligence Analytics
• Oncology and Biomarker-Based Cancer Detection.

Technology Areas

• Microelectronics