Air Force 27.1: computer vision that grades aerial refueling
DAF27TZ01-DV001 wants AI computer vision that assesses air-to-air refueling performance and builds a post-flight debrief for the receiver pilot.
Official notice(opens in a new tab)Facts
- Air Force
- SBIR 27.1 DAF27TZ01-DV001 — AI computer vision for air refueling
- Oct 28, 12:00 PM ET
- Due Nov 25, 12:00 PM ET
- U.S. Small Businesses
- SBIR Proposal on DSIP
What they’re asking for
SBIR.gov copy: analyze closure rates, vectors, stability, and procedure deviations; produce visual debrief products (overlays, heat maps, timelines); support instructor adjudication; consider VR/AR/simulator integration; handle controlled aviation video securely; minimize burden on operational aircraft. End state: an operationally demonstrated capability for one receiver type, with a path into existing training ecosystems.
How to respond
A proposal on DSIP after 27.1 opens. Search DAF27TZ01-DV001.
Related
Kessel Run wants white papers on how to modernize the air operations center
Army Phase I: agentic AI that turns trade studies into auditable decisions
Army STTR twin of the agentic decision-management topic
Air Force STTR: a tool that scores whether an AI system is reliable
Air Force STTR: automate combat-damage assessment at the edge