From footfall to how spaces are used

Entries and exits

Set counting lines at entrances and defined passageways to observe flow in each direction. Compare times and cameras to identify busy periods and plan operations around demand.

Occupancy

Relate incoming and outgoing movements to occupancy in the monitored space. Entrance coverage and zone configuration must be validated so that the measurement represents the area you need to understand.

Dwell time and zones

Define areas of interest to analyse presence and time spent within them. These metrics help distinguish areas people pass through from places where they stop and spend time.

Aggregated audience insights

The demographic module provides estimates of apparent age, gender, and observed expressions. Compare audience trends without requiring enrolment or identity database searches, depending on the configuration you choose.

Where people counting supports operations

Retail and commercial spaces

Compare footfall by time of day, camera, or location. Use trends to plan staffing, review service areas, and assess changes to the layout of a physical space.

Buildings and offices

Observe occupancy and dwell time in monitored areas to support service and resource planning. Select the zones and operating hours that provide useful information for your team.

Terminals and outdoor spaces

Analyse entrances and circulation areas indoors or outdoors. Choose cameras and viewing angles suited to the distances, lighting, and movement in each scene.

How to implement people analytics

  1. Connect and define

    Connect compatible IP cameras using RTSP or ONVIF. Define the entrances, counting lines, and zones that represent the space you want to measure.

  2. Configure and validate

    Enable the modules needed for each camera and compare the results with observations on site. Adjust viewing angles, lighting, and configuration during evaluation.

  3. Compare and act

    Review metrics by period and location. IKFace Edge processes video locally; IKFace Server can centralise monitoring and statistics across multiple sites.

Audience metrics with a defined purpose

Counting measures how many people pass through; occupancy describes the use of a space; demographics summarise estimated audience characteristics. Enable only the indicators your project needs.

For demographic analytics, the recommended configuration prioritises local processing, aggregated data, and minimising personal images. Visible expressions are indicative signals, not verified emotional states. The quality of estimates depends on the scene.

People counting and occupancy questions

Can I use my existing cameras?

Yes, if their streams and characteristics are compatible. Evaluation should check connectivity, position, resolution, and lighting. A camera suited to surveillance may need a different view to measure an entrance.

Are people counting and occupancy the same?

No. Counting records crossings at configured lines; occupancy relates to the people present in an area. Interpreting it correctly requires defining that area and validating its entry and exit points.

Do I need facial recognition to measure an audience?

Demographic analytics can operate independently, without enrolling people or comparing them with identity databases. Its results are aggregated statistical estimates and should not be interpreted as individual identities.

How is hardware capacity determined?

Capacity depends on the processor, memory, camera count, resolution, FPS, and enabled modules. A trial helps size the system and assess metric quality under the actual conditions at your site.

Evaluate people counting in your spaces

Define the entrances and areas you want to measure and request a 30-day trial. We will review cameras, indicators, and evaluation criteria with you.

Request a 30-day trial

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