Understand every step your visitors take

Count visits and read movement inside the store

See how it works
A bright retail interior with timber shelving and a few visitors walking through
Detection on
A dashboard showing the most-walked routes inside the store

See what actually draws attention

The most-walked routes and the areas people linger in are read from the cameras already in the store. Nothing new goes on the ceiling, and identities are blurred on site before any data moves anywhere.

Insight within reach

The metrics the node actually produces — not a wish list.

An analytics dashboard showing visitors per hour

Visit counting

How many visitors come in and go out, hour by hour.

Movement patterns in store

The most-walked routes and the areas people linger in longest.

A bar chart comparing visit counts day by day

Anonymous on the device

Identities are blurred on site before any data moves anywhere.

For shops like these

Example location: Retail & convenience stores

Retail & convenience stores

Example location: Shopping centres

Shopping centres

Restaurants & cafés

Pharmacies & clinics

How it works

  1. 01

    Your existing cameras are reused

    The cameras already installed inside the store are connected to a Netra Node. Nothing new goes up in the ceiling.

  2. 02

    The node reads visits

    The node counts visitors entering and leaving, then maps the paths most often walked through the space. Faces are never stored.

  3. 03

    Patterns read by the hour

    Counts are sent as hourly summaries, so busy hours and the most-occupied areas can be compared day to day.

Ready to turn visits into decisions?