Playground / visitor profile

Understand the visitor mix
without identifying anyone.

Track visible visitors, estimate age bands and gender presentation, and summarize the clip as aggregate retail context—not personal identity.

Results are probabilistic aggregate estimates from visible faces. They are not identity, eligibility, or sensitive-trait determinations.

Local browser analysisAge bands · gender mix · averages

Local browser analysis

Estimate an aggregate visitor profile

Use footage where visitor faces are visible, reasonably lit, and large enough in frame for a reviewable estimate.

Local session · nothing uploaded

Frames stay local while the selected pipeline prepares aggregate estimates.

Choose video

MP4, MOV, or WebM · up to 1 GB · no upload

Local session · nothing uploaded

Review average age, age-band distribution, and aggregate gender estimates with clear confidence context.

Your result will appear here

Choose a clip and processing level, then run the local analysis. The original video remains available beside the result.

StoreMeter / Visitor profile

01
Choose visitor-facing footage
Use a stable scene with visible, reasonably lit faces.
02
Associate repeat appearances
Tracking reduces the chance that one visitor dominates the aggregate.
03
Read aggregate context
Use age bands and mix estimates as directional store context, never identity.

FAQ / Visitor profile

Does this identify visitors?

No. The result is an aggregate estimate for the clip and does not name or identify a person.

Are age and gender results exact?

No. They are probabilistic visual estimates and should be treated as directional context with uncertainty.

Why does camera angle matter?

Small, occluded, profile, or poorly lit faces contain less visible information and can reduce estimate quality.

StoreMeter / iPhone + iPad

Continue in StoreMeter for iPhone and iPad for faster processing, saved reports, and repeatable store comparisons.