Traffic and movement dataset

Traffic & Movement: Build an aggregate movement dataset from fixed-camera footage.

Upload fixed-camera footage (intersection, retail aisle, warehouse loading dock) and we'll produce an aggregate movement dataset: per-frame counts by object type, per-zone aggregated counts, entry/exit counts where boundaries are visible, and heatmap-ready density values. Designed for urban planners, retail analytics teams, and security operations. **MVP scope:** counts + zones + density. Persistent object tracking ("Car #7 entered at 0:15 and exited at 0:32") is Phase 2 — it requires a CV pipeline (YOLOv8 + tracker) on top.

Built for Urban planners, retail analytics teams, facilities teams, and operations teams.

Sample output

Movement count export

Zone: north crosswalk, 47 pedestrians
Peak: 08:15-08:30
Density: 0.72 east lane

What to upload

Footage from a stationary camera (no panning / zooming).

  • Intersection / crosswalk camera
  • Retail aisle or checkout-lane camera
  • Warehouse loading dock camera
  • Office / lobby doorway camera

What you get

Aggregate counts + per-zone stats + heatmap-ready density data.

  • Per-frame object counts (e.g. {'car': 5, 'pedestrian': 2})
  • Per-zone aggregated counts (e.g. 'north sidewalk': 47 pedestrians)
  • Entry / exit counts (where zone boundaries are detectable)
  • Density score 0–1 per zone (heatmap-ready)
  • Auto-detected location type (intersection / retail / loading_dock / …)

Exports

  • JSON (full study — observations + zones + summary)
  • CSV (flat per-frame×object-type rows)

Tips for better results

Up to 2 hours per study (default cap)
FIXED camera only — moving cameras break the zone aggregation
Daylight & high-contrast scenes produce more accurate counts
If you have multiple cameras at the same site, upload separate studies