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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2565 · record R1806

CBP Common AI Service(CCAIS) Image Analysis and Data Correlation

Department of Homeland Security · CBP

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification
This use case is not yet live in production, and the current ATT only covers for within the CCAIS platform. The use case needs further review, prior to the ATT for ICAD integration. The model can identify people, animals, and vehicles as well as extract license plate information, and we will need to determine how exactly the extracted information will be used for operations if it is determined to be feasible. The AI inventory team will need to review once the AI Use Case is fully defined.
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reduces the amount of time agents needs to spend analyzing imagery but automatically flagging images for review.

Expected benefits

The AI’s intended purpose is to solve the challenge of efficiently monitoring typically unoccupied or restricted environments for unauthorized human or vehicle presence. It automates the initial detection of such activities, which can be resource-intensive and prone to delays when done manually. The expected benefits include enhanced security of sensitive areas, increased operational efficiency through automation, and the ability to scale oversight and respond more effectively to potential incidents, and better protection of public assets, sensitive environments, and critical infrastructure, alongside more efficient use of public resources in security operations.

System outputs

The AI System outputs image analysis of what is in the image. It can Identify vehicles and determine the type and license plate number. It can identify if people are present and if they are armed. It can identify environment and conditions. The output is providing through bounding boxes around items of interest within the image and through textual descriptions.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported