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Computer Vision Algorithm Development for Aerial Refueling

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SBIR / STTR

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract for the U.S. Air Force focuses on the development and training of computer vision AI/ML models to support aerial refueling projects. The scope of work involves implementing object detection and tracking for aircraft and refueling booms, as well as utilizing spatial analysis to ensure precise alignment measurements. To execute these tasks, the contractor must utilize high-compute GPU clusters and advanced AI frameworks to train models based on aerial footage. The project is designated as a Total Small Business Set-Aside under NAICS code 541715, specifically targeting firms with fewer than 500 employees. Key deliverables include the final trained AI models, all associated source code, and comprehensive validation reports. Due to the nature of the defense work, strict adherence to DFARS 252.204-7012 and CMMC cybersecurity standards is mandatory. Responses are due by November 25, 2026.

General Info

US Air Force subcontract for AI/ML computer vision aerial refueling models due November 2026.

Documents

This scope was carved out of DAF27TZ01-DV001.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

AI-Enabled Computed Vision Air-to-Air Refueling Performance Assessment and Automated Pilot Debrief System

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Organization & Contact Information

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AgencyU.S. Department of Defense → U.S. Air Force
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops and trains AI/ML models for prime contractors on US Air Force aerial refueling projects. Performs object detection and tracking for refueling booms and aircraft, implements spatial analysis for alignment measurement, and trains models on aerial footage. Requires high-compute GPU clusters and AI frameworks. Must comply with DFARS 252.204-7012 and CMMC. Delivers trained AI models, source code, and validation reports.

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Keith Deutsch
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