The National Guard Bureau (NGB) operates in a multitude of operational domains and frequencies. Shared Situational Awareness (SSA) is a critical component of maintaining an organized and focused mission in order to ensure success. However, constant overturn in staffing, resourcing, and environment due to the nature of “on-call” Guardsmen results in a splintering in the overall SSA picture. Additionally current SSA tools used by the NGB are rapidly showing signs of aging. With multiple sources of ephemeral knowledge and a complex set of imagery analysis requirements, a need for AI/ML-driven knowledge curation and scene understanding naturally arises for domestic operations (DOMOPS).

The Department of Defense (DoD) is seeking software for unclassified processing, assessment, and dissemination of electro-optical aerial images of varying nadirs (collection platforms can range from handheld devices and/or aircraft mounted instruments). The solution will use artificial intelligence (AI) and machine learning (ML) algorithms to create better scene understanding of aerial imagery for various taskings and, ideally, result in lower runtimes and processing power needs compared to legacy systems.

Learn more and apply.