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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOI · DOI-0150 · record R2612

AI to survey boat traffic

Department of the Interior · USGS

Overview

Development stage
PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2024-03-20 (day precision)Source: 3/20/2024
Withheld from public reporting
NoSource: a) No

Mission

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

Problem the AI is intended to solve

We are using AI to collect boat traffic times when traveling in a specific area by scanning video. Typically, this type of data would be collected by manually watching video and recording boat entrance and exit times. Using AI, we can dramatically lower the time a person monitors videos, making a more efficient use of the employee's time at work.

Expected benefits

cost savings

System outputs

Boat entrance and exit times from a specific area.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Not reported
Custom-developed code
No
Public source code
www.ultralytics.com/yolo

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Ultralytics
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
Yes
Demographic features
k) None of the above
Training and evaluation data
Vendor provided training data and evaluated performance; we used default model and did not use additional training data.
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