VidScanner

Traffic & Movement use case

Retail aisle dwell time

The retail aisle dwell time workflow turns uploaded video into a reviewable movement count export output. VidScanner analyzes the visual and spoken context, then ties every result back to the source recording with timestamps and evidence.

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Traffic and movement dataset

Workflow guide

How this use case fits into a repeatable video review process.

Retail aisle dwell time is for teams that already have the video evidence but do not want to scrub through the entire file manually. Upload intersection / crosswalk camera, let VidScanner process the frames and transcript, then review a structured result that points back to the exact moment in the source video.

This workflow fits inside VidScanner Traffic & Movement, so it uses the same search index, timestamps, screenshots, and export path as the rest of the product. That matters when a report, dataset, deck, or action list needs to be checked by another person before it becomes official.

For best results, capture the recording with stable framing, clear audio when narration helps, and enough time on the important visual evidence. The output is strongest when reviewers can see the subject clearly and hear the context that explains why the moment matters.

Sample input

Intersection / crosswalk camera

Sample output

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

How it works

  1. Upload intersection / crosswalk camera
  2. Run VidScanner Traffic & Movement
  3. Review the generated output and evidence
  4. Export the result or continue searching the video library

Tips for this workflow

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

Review checklist

Confirm the important scene or statement is visible in the source recording.
Check timestamps before sharing the output with a customer, manager, or reviewer.
Export only after the structured output matches the evidence in the video.
Keep the original file available when the result will be used as an audit artifact.

FAQ

What video should I use for Retail aisle dwell time?

Start with intersection / crosswalk camera. The recording should show the important visual evidence clearly and include narration when spoken context changes the meaning of the scene.

What output does this workflow create?

VidScanner generates movement count export details such as Zone: north crosswalk, 47 pedestrians; Peak: 08:15-08:30; Density: 0.72 east lane. Each item stays connected to the source video for review.

Can the result be exported?

Traffic & Movement exports include JSON (full study — observations + zones + summary) and CSV (flat per-frame×object-type rows), depending on the app workflow and account plan.