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The Intelligence Layer for Modern Retail
AURAAFIT turns camera footage into outfit analytics: YOLO11 finds people, a W&B Inference vision model labels what they wear, and a demo catalog maps outfits to products. Age, gender, height and fit are not inferred.
Sample detection · recorded clip
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Age, gender: not inferred
Heavy outerwear · all replayed sightings
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Section 01 · Recorded-camera replay
Replayed Foot-Traffic & Outfit Analytics
Replay of recorded street cameras (San Francisco / New York) from the event archive, processed by YOLO11 + W&B vision. Not a live store feed.
Clip frames are not bundled in this build. Boxes are the recorded YOLO11 detections (percent of frame), drawn on a blank frame.
Outfit Search· text match over the labelled detections (colors, garments, carried items). Age, gender and height are not searchable.
Video Feature Extraction & Business Intelligence
Upload footage or paste a link. Clips from the event archive (matched by filename) return the precomputed YOLO11 + W&B vision labels. Any other video is not analyzed on this deployment; only its color palette is measured, in your browser. Age, gender, height and fit are not inferred.
Replayed Outfit Extraction Feed1× replay
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Merchandising Suggestions
Source: contacting /api/agent…. Percentages are of person-sightings, no demographics.
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Section 02 · Analytics
Executive Foot-Traffic & Inventory Performance Dashboard
Aggregates from the replayed street-camera clips (YOLO11 + W&B vision). Demographics are not inferred.