AiRAssist: Rapid Airfield Damage Assessment for the U.S. Air Force

Intro

Accelint was awarded a contract by the U.S. Air Force Civil Engineer Center (AFCEC) to develop AiRAssist, a semi-automated system for rapid airfield damage and unexploded ordnance (UXO) assessment. AiRAssist combines AI-enabled computer vision with human-machine teaming to help operators identify runway damage and ordnance in time-critical, post-attack scenarios.

Challenge

The primary challenge for operators in post-attack airfield assessment is the combination of large search areas, the small size of damage and objects of interest, and the short time constraints dictated by post-attack operations. Rapid assessment of airfield damage requires efficiently searching large areas at very fine detail under time-constrained conditions.

Solution

Accelint is developing AiRAssist under AFCEC's rapid airfield recovery initiative, delivering a semi-automated assessment tool that pairs AI-enabled computer vision with human-machine teaming. The system is designed to:

• Process large volumes of imagery with high accuracy in time-constrained environments

• Enable operators to interact with computer vision algorithms to focus attention where needed and adapt to current environmental conditions

• Integrate Accelint's Smart Interaction Device (SID) and Computational Situation Awareness (CSA) capabilities with computer vision algorithms to efficiently search large areas at fine detail

• Support semi-automated detection of runway damage and unexploded ordnance

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AiRAssist facilitates processing large volumes of data with high accuracy in time-constrained environments. The system enables operators to interact with vision algorithms, focusing their attention where needed and adapting to current environmental conditions.