- Who runs it
- National Aeronautics and Space Administration
- Can it affect people?
- Yes. It may support a decision about a person, such as access to a service, place, payment, or permit.
- Possible rights impact: Direct decision or access
How much do we know?
A source is a published page or document behind a claim. The label measures what is documented, not whether a system is good or safe. Missing information does not prove that a safeguard is missing.
Sources and further reading
- 2025 U.S. Federal Agency AI Use Case Inventory / U.S. Federal Agency AI Use Case Inventory / 2026-04-13
optional detailFull record and details
The interface and explanatory guides are translated. Record names, record descriptions, quotations, detailed editorial notes, and linked public documents stay in their published language so evidence is not silently changed.
What it does
Traditional video surveillance requires continuous human monitoring, which is resource-intensive and prone to missed events. By applying AI-driven camera analytics, this use case addresses the need for faster, more reliable detection of security incidents and operational insights. The purpose is to enhance situational awareness, reduce manual effort, and improve response times while also enabling organizations to repurpose video data for business and safety improvements.
If this affects someone
agency-caio@mail.nasa.gov
Since this use case leverages commercial off-the-shelf products, training and fine-tuning of the AI models are performed by the vendors themselves. Milestone, Genetec, and Verkada typically rely on large, vendor-curated datasets of video footage that include a wide range of environments, objects, behaviors, and lighting conditions. These datasets are used to train computer vision models for object detection, classification, activity recognition, and anomaly detection. Vendors also apply continuous model evaluati...
Sources and further reading
First indexed from U.S. Federal Agency AI Use Case Inventory on 2026-09-03. Only usable fields from the public record are shown; missing answers remain blank.
Fields were mapped from the linked public record by deterministic code. No generative model wrote this text.
Facts to check
- Who runs it
- National Aeronautics and Space Administration
- Life area
- Banking & payments
- Proof level
- Source-backed
- Footnotes
- 1
- updated
- 7 months ago
The score orders work, not people.
Review priority rises for rights-sensitive uses, missing sources, unanswered accountability fields, and old evidence. Strong official documentation lowers it. The score is not a verdict on safety, fairness, or legality.
A missing field means the attached public sources did not answer it. Coverage is uneven, publication does not prove performance, and a certificate has a defined boundary.
Previous versions
- Imported2 months agoPartialImported from U.S. Federal Agency AI Use Case Inventory.
Help check this record.
Add a public source, challenge a claim, or point out a missing way to reach a person.
A submitted name, email, description, source, or correction is used only to verify the record and prevent abuse. It is not published automatically.