Run a photo or video through the lab.
Four forensic pipelines on a single upload: AI object detection, a custom aircraft classifier trained on our own datasets, motion-event tracking, and provenance checks against metadata, frame duplication, scene cuts, and audio splices. Nothing is stored — the file is deleted as soon as we read it.
Computer-vision models find what is in frame — aircraft, people, vehicles — with confidence and bounding boxes.
A custom model trained on our own aircraft datasets names the closest match, or returns Unknown when nothing fits — the signal that matters for anomalies.
Background subtraction and centroid tracking turn a clip into a timeline of what moved, where, and when.
Metadata, duplicate-frame and scene-cut detection, and audio-splice checks combine into a 0–100 provenance score.
Analysis is a Research feature — it’s how the archive, the map, and every reel stay free for everyone else. This is a heuristic provenance check, not deepfake or AI-generation detection.