DHS · DHS-2745 · record R1877

FLIR 280 HD

Department of Homeland Security · USCG

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Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2024-09-15 (day precision)Source: 2024-09-15T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Other
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Rapid detection of distressed persons in the water.

Expected benefits

Enhanced ability to detect persons in the water to more rapidly deploy life-saving resources.

System outputs

The operator views a image of the maritime domain. The AI draws boxes around suspected persons in the water to direct the operator to further investigate those anomalous detections.

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: 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): FLIR
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: A mixture of proprietary data from the vendor as well as data gathered during test events.
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.

Pre-deployment testingReported in progressSource: b) In-progress

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress

Fail-safeReported in placeSource: a) Yes

Appeal processNot applicableSource: b) Not applicable

User and public consultationOther or ambiguous answerSource: d) Other

Potential impacts and how they were identified

There are no impacts to privacy, civil rights, or civil liberties of the public, the AI can only recognize whether or not an object is a person but cannot identify any features of that person