# Hyperspectral Data Log

**Project:** Distridays UseCase 1

**Date:** 2026-04-24

**Operator:** [AI Team @ Cubert](mailto:cuvis.ai@cubert-gmbh.de)

## Hardware

- **Camera:** Ultris XMR
- **Lens:** 50 mm / f2.0
- **Accessories:** None
  
## Setup & Lighting

- **Light source:** Sunlight
- **Distance:** ~100 m
- **Notes:** Busy bus station. Human actors with similar outfits looking different in spectral view.

## Acquisition Settings

- **Measurement mode:** Video
- **Integration time:** 17 ms
- **Frame rate:** 15 fps
- **White reference:** None
- **Dark current:** Recorded

## Scene Description

**Object type:** Human (complex scene)

**Goal:** Demonstrate that hyperspectral features beyond the visible spectrum improve person tracking in a crowded scene — fewer false ID switches and more reliable lock on the correct person than an RGB-only tracker can achieve.

**Setting:** Outdoor bus station with a busy pedestrian background. Camera on a static tripod roughly 100 m from the subject area, pointing at a section where pedestrians pass and wait. Hyperspectral data cube captured in video mode; spectral bands beyond the visible are exploited as tracking cues.

**Subjects:** Three actors — T (target), D1 (decoy 1), D2 (decoy 2). All three wear visually identical outfits so they look similar in the RGB projection of the hyperspectral cube. T wears a garment made of a material that looks distinct in CIR (colour infrared). This CIR difference is the spectral cue the tracker is expected to exploit.

**Passive phase:** Actors walk in single file toward or away from the camera, occluding one another along the optical axis. A visible-only tracker tends to swap IDs in this setting; hyperspectral cues should preserve the correct lock.

**Active phase:** While on camera, T carries a bottle of "invisible" ink that is visible only in specific spectral bands and sprays D1 with it. The spray adds a trackable spectral signature to D1 mid-recording. After marking, the three actors walk out of the scene from the opposite side, so the tail of the take shows the post-marking state.

## Credits

Recorded and processed by the [AI Team@Cubert](mailto:cuvis.ai@cubert-gmbh.de).
Use-case demo at http://docs.cuvis.ai/