What Happened
From Detection To Understanding In Real Time
The next phase of artificial intelligence at the edge for defense applications will focus on whether detection, classification, and tracking can work together quickly and reliably to preserve understanding as the mission unfolds. This goal is critical for first-person-view and counter-uncrewed aerial systems, where maintaining continuity on relevant objects and reducing unnecessary operator workload are essential. According to Military Embedded Systems, edge AI performance should be evaluated as a workflow, considering factors like detection accuracy, classification confidence, and tracking persistence.