Unified Processing/Mobile Intake
Department of Homeland Security · CBP
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- 2022-03-01 (day precision)Source: 2022-03-01T00:00:00
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Law Enforcement
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
The need to use every available resource to identify individuals who may pose a threat to national security or may be members of terrorism or transnational criminal organizations.
Expected benefits
The objective is to facilitate the swift and accurate biometric identification of individuals encountered by CBP, thereby expediting their processing.
System outputs
CBP utilizes facial matching technologies to verify identity. This process compares an individual's live photo against existing government photo holdings to confirm identity.
Technology
- AI classification
- Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
- System name(s)
- Traveler Verification Service
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- NEC (Nippon Electric Company)
- Vendors (standardized)
- NEC
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Yes
- Privacy Impact Assessment
- www.dhs.gov ↗
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- Border Crossing Information
- Federal Data Catalog
- Not reported
Governance
8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
The key risk is the degradation of the TVS verification to degrade overtime based on the parameters of assessment for comparing images to templates. The facial recognition does not enter or retrieve data, it is only comparative.