Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: AI type = computer_vision; sourcing = in_house; function = image_analysis

Generated 2026-10-12 12:45 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: AI type = computer_vision; sourcing = in_house; function = image_analysis · 8 records

Key findings

8 use-case records from 3 agencies: 3 deployed (38%), 5 pilots, 0 in development or acquisition, 0 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
0% of reported deployed use cases (0 of 3) are classified as generative or agentic AI.
Sourcing is reported for 100% of use cases. Where reported, 100% involve in-house development.

Lifecycle

Stage	Records	Share
Deployed	3	38%
Pilot	5	63%

AI technology

Classification	Records	Share	Deployed
Computer vision	8	100%	3

Agencies

Agency	Records	Deployed	Completeness
DOI · Department of the Interior	6	1	100%
SEC · Securities and Exchange Commission	1	1	100%
NASA · National Aeronautics and Space Administration	1	1	100%

High-impact designation

Designation	Records
Not high-impact	8

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 8 records.

Record	Agency ID	Agency	Use case	Stage
R0006	SEC-5	SEC	8-K Filing Solution	Deployed
R0175	NASA-244	NASA	SPOC (Soil Property and Object Classification)	Deployed
R2673	DOI-0080	DOI	U.S. Wind Turbine Database	Deployed
R2581	DOI-0182	DOI	Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies [2024 INV#WO0000000108262]	Pilot
R2647	DOI-0113	DOI	Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis	Pilot
R2677	DOI-0079	DOI	Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery	Pilot
R2678	DOI-0075	DOI	Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409]	Pilot
R2720	DOI-0028	DOI	Implementation of Artificial Intelligence to Estimate Population Size of a Migratory Bird from Aerial Thermal Imagery [2024 INV#DOI-67]	Pilot

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory