AI/ML Enabled Battle Damage Assessment

SensorOps proposes the development of an AI/ML-enabled Battle Damage Assessment (BDA) system to address a critical capability gap in the Department of the Air Force’s (DAF) ability to conduct timely and accurate post-strike assessments across contested and denied environments. Traditional BDA processes are labor-intensive, dependent on high-quality ISR feeds, and often delayed due to data scarcity and bandwidth constraints. In peer conflict scenarios—particularly with China—speed and precision in strike re-engagement decisions are vital to maintaining operational tempo and decision superiority.The proposed solution leverages SensorOps’ proven AI pipelines, including TargetModeler and TacOS FusionAI, to develop a modular, edge-compatible BDA capability that integrates simulation-driven training, synthetic data augmentation, and real-time model execution. This approach fuses data from multiple ISR modalities (EO, IR, SAR, RF) and uses model-based estimation to approximate physical and functional damage, enabling autonomous and semi-autonomous BDA execution even when live sensor data is degraded or unavailable.TargetModeler will be used to generate high-fidelity synthetic datasets and co-witnessed sensor data simulating a variety of strike scenarios—airbase attacks, convoys, naval engagements—while automating the labeling of kinetic effects, damage types, and platform subsystem hits (e.g., mobility kill vs. catastrophic kill). TacOS FusionAI will serve as the AI orchestration platform, enabling operators to configure BDA workflows using a visual interface without the need for deep programming knowledge. These models will be benchmarked for inference speed (<500ms), accuracy (>85%), and edge deployment feasibility (<100MB) on SWaP-constrained hardware.This effort is aligned with OUSD(R&E)'s critical technology areas in Trusted AI and Autonomy and Human-Machine Interfaces. It enables rapid post-strike assessment under Multi-Domain Operations and supports Combatant Command mission planning, re-targeting, and battle management. Commercial applications include infrastructure damage monitoring, disaster response, and autonomous system integrity assessments. With strong support from DAF end-users and customers, and a proven track record in delivering ISR-related AI capabilities, SensorOps is well-positioned to transition this technology to operational use and broader defense and commercial markets.