DHS · DHS-194 · record R1802

AI Enabled Autonomous Underwater Vehicle

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: Computer Vision application onboard the ROV detects items of interest (IoI). The ROV also uses AI for collision avoidance. Once an IOI is detected, a bounding box is placed around the suspected IoI in the image and the user is notified of an alert of a potential IOI. The user then reviews the image and decides if a dive team is required for further inspection. The AI output does not serve as a principal basis for any decisions or actions.
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

Customs and Border Protection (CBP) desires to identify potential Items of Interest (IoI) on vessels more quickly, efficiently, and safely. Provides increased shared situational awareness in real time for CBP and strategic partners, and improves mission planning and agent and officer safety while reducing reactionary gaps.

Expected benefits

Customs and Border Protection (CBP) intends to identify potential for Items of Interest (IoI) on vessels through the use of autonomous systems, which will allow CBP to more efficiently and safely increase shared situational awareness, improve mission planning and agent/officer safety, and reduce reactionary gaps.

System outputs

AI output will include object avoidance, automated mission execution, and may include imagery of potential Items of Interest (IoI).

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
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