This whitepaper examines how AI transforms full motion video analysis for operational and decision-support environments. It explains how computer vision automates object detection, tracking, segmentation, and activity recognition in video streams. The paper discusses core algorithms such as Faster R-CNN, SSD, YOLO, optical flow, and deep learning–based tracking models. It highlights the role of geospatial context and sensor fusion in enhancing situational awareness. Use cases across defense, public safety, border security, and infrastructure monitoring illustrate how AI-driven FMV analysis replaces manual review with faster, more accurate insights.

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