AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| 8-K Filing Solution SEC-5 · Division of Corporate Finance (CF) | SEC | Deployed | Not high-impact | Other | Computer vision | Developed in-house |
| SPOC (Soil Property and Object Classification) NASA-244 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Science | Computer vision | Developed in-house |
| Autonomous WAiting Room Evaluation (AWARE) NASA-398 · LaRC: Langley Research Center | NASA | Deployed | Presumed high-impact, determined not | Administrative Functions | Computer vision | Developed in-house |
| Pre-trained microscopy image neural network encoders NASA-401 · GRC: Glenn Research Center | NASA | Deployed | Not high-impact | Science | Computer vision | Developed in-house |
| AI Assisted Data Collection FDIC – 15 · Division of Depositor and Consumer Protection | FDIC | Deployed | Not high-impact | Information Technology | Computer vision | Developed in-house |
| Pre-Examination Planning Monitoring FDIC – 19 · Division of Depositor and Consumer Protection | FDIC | Deployed | Not high-impact | Other | Computer vision | Developed in-house |
| Dam Inspection Report Document Processing USDA-048 · Farm Production and Conservation | USDA | Deployed | Presumed high-impact, determined not | Administrative Functions | Computer vision | Developed in-house |
| GIS Invasive Tree Extraction for Field Level Users USDA-050 · Farm Production and Conservation | USDA | Deployed | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Facial Recognition Technology DOJ-0122 · Department of Justice / FBI | DOJ | Deployed | High-impact | Law Enforcement | Computer vision | Developed in-house |
| Commodity Detection Model (Cargo Insights Team) DHS-69 · CBP | DHS | Deployed | Not high-impact | Law Enforcement | Computer vision | Developed in-house |
| U.S. Wind Turbine Database DOI-0080 · USGS | DOI | Deployed | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Nediser Reports QA VA-24-5464 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Computer vision | Developed in-house |
| PDF information extraction for 889 Forms R0693 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Computer vision | Developed in-house |
| XyloTron/XyloPhone Wood Identification System USDA-069 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Select Tree Mapping USDA-134 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| AI-Enhanced Facility Finder 75 · OECA | EPA | Pilot | Not high-impact | Law Enforcement | Computer vision | Developed in-house |
| Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies [2024 INV#WO0000000108262] DOI-0182 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis DOI-0113 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Using deep learning to classify potential piping plover habitat along the Upper Missouri River DOI-0094 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery DOI-0079 · USGS | DOI | Pilot | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409] DOI-0075 · USGS | DOI | Pilot | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Automated photographic identification of Eastern box turtles DOI-0073 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Automated power line extraction using deep learning DOI-0062 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| AI-Powered Wildlife Monitoring on National Wildlife Refuges DOI-0029 · FWS | DOI | Pilot | Not high-impact | Service Delivery | Computer vision | Developed in-house |
| Implementation of Artificial Intelligence to Estimate Population Size of a Migratory Bird from Aerial Thermal Imagery [2024 INV#DOI-67] DOI-0028 · FWS | DOI | Pilot | Not high-impact | Service Delivery | Computer vision | Developed in-house |
| Laboratory Automation DOE-354 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Computer vision | Developed in-house |
| Facilities Visual Inspection DOE-633 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Computer vision | Developed in-house |
| Synthesizing mapping and monitoring data to understand fluctuations in prairie dog colony size and densities in Theodore Roosevelt National Park [2024 INV#WO0000000109308] DOI-0116 · USGS | DOI | Pre-deployment | Not high-impact | Science | Computer vision | Developed in-house |
| Computer Vision for Defect Detection DOE-555 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Computer vision | Developed in-house |
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