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.

People crossing a busy city crosswalk
Traffic and movement dataset

Sample output

Movement count export

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

Workflow fit

Built for teams that need evidence, not just summaries.

VidScanner Traffic & Movement is designed for Urban planners, retail analytics teams, facilities teams, and operations teams. Instead of treating video as a file to watch from start to finish, the app indexes the recording, identifies important moments, and turns the source footage into a structured deliverable that can be searched and reviewed.

The workflow starts with footage from a stationary camera (no panning / zooming). The strongest results come from recordings where the camera lingers on important evidence and the speaker narrates key context. VidScanner keeps the generated output tied to the source video so reviewers can verify what was seen or said before they export it.

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)

Common traffic & movement workflows

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

Questions teams ask

What should I upload to VidScanner Traffic & Movement?

Footage from a stationary camera (no panning / zooming). Good examples include Intersection / crosswalk camera and Retail aisle or checkout-lane camera.

What does VidScanner Traffic & Movement produce?

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

Can I try VidScanner Traffic & Movement before paying?

Yes. VidScanner supports a free account so teams can test the upload, search, and export workflow before choosing a paid plan.