Biometrics Enabled Intelligence

Abstract

The Next Generation Biometric Collection Capability (NXGBCC) is the replacement for the Biometrics Automated Toolset - Army (BAT-A) Program of Record (POR) which has been supporting overseas contingency operations for over 19 years, well beyond the standard 3 to 6 years of useful electronic equipment life. NXGBCC supports all three objectives of the National Defense to increase lethality, enhance International Cooperation, and improve business practices. NXGBCC initiates the data flow to the DoD Authoritative Biometrics Identification System (ABIS) and Military Intelligence systems. NXGBCC consists of an expeditionary biometric data management system called the Local Trusted Source (LTS), biometric static collection kits with palm and credential badge capability, and biometric mobile collection kits. NXGBCC will tactically collect, match, store, reference, and share biometric signatures and contextual data while providing data analysis capability at all echelons; enabling forces in competition, armed conflict, and re-competing in a Multi-Domain Operations (MDO) environment. NXGBCC processes Enemy Prisoners of War (EPWs), Displaced Persons, and Refugees. It also assists Operations in the Support in Consolidation Areas. NXGBCC enables commanders to protect their force, deny enemy movement, increase freedom of maneuver, protect civilian populations, manage detainees identities, and to defeat near-peer unconventional threats. FY 2020 funding for NXGBCC previously reflected in project BI7 was moved to project FL5. Identity Intelligence Analytic 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 Biometrics Identity Intelligence Resource (BI2R) functionality as well as elasticity, encryption, and open source software for enduring interoperability with DoD, IC, and external partners. Justification: Prior year funding for NXGBCC was previously included within project BI7. For FY 2020, NXGBCC funding is now reflected within 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. The program office will complete operational testing, interoperability testing, and New Equipment Training (NET) 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 Repository (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.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2021
Source ID
0307665A_7_2040_PB_2021
Change Summary Explanation
No RDT&E Funds requested for FY 2021.
Service Agency Name
Army

Entities

Organizations

  • United States Army

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biometric Security
  • Biometrics
  • Civilian Population
  • Contingency Operations (Military)
  • Contracts
  • Data Analysis
  • Data Integration
  • Data Management
  • Electronic Equipment
  • Identification
  • Identification Systems
  • Military Intelligence
  • Multi-Domain Operations
  • National Security
  • Prisoners Of War
  • Product Development
  • Test And Evaluation

Readers

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

Technology Areas

  • Microelectronics

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