Skywatcher: AI‑Driven UAP Detection and a Living Taxonomy Based on Morphology, Flight Behavior, and Sensor Signatures

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Skywatcher uses an AI-assisted platform to detect and classify unidentified aerial phenomena by analyzing sensor recordings, infrared footage, and radar data, organizing them into a living taxonomy defined by shape, flight behavior, and sensor signatures, with definitions and data updated as new recordings are analyzed.

Skywatcher UAP Classification | UAP Disclosure Tracker
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Skywatcher UAP Classification | UAP Disclosure Tracker

Skywatchers nine-class UAP taxonomy: a data-driven framework classifying unidentified phenomena by morphology and observed flight behaviour.