The future of Crowd Analytics
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Behind the scenes

  • How do we estimate crowd density in real-time?​

  • How accurate is this?​

  • Where and when can we expect critical situations?​

  • Where are anomalies?​

  • Which action should we take?

  • How can we preserve the learnings for next editions?​

Our technology

We measure the average signal attenuation of a wireless sensor network relative to the empty environment.

Previous use-case

Our system was deployed at Studay in collaboration with the city of Antwerp.

Our Services

We focus on:

Being privacy non-intrusive

Our technology provides a privacy non-instrusive way of measuring crowds without making any connection to a particular device that users would carry or taking any pictures of individuals.

Deliver real-time data

Our wireless sensor network provides a new measurement every 150ms.

Deliver high accuracy

Compared to a bracelet scanning system, we can predict crowd sizes with 95%.

Objective crowd management

Based on 6 years of research at the University of Antwerp and Imec, our technology was validated at different large-scale events such as Tomorrowland.

Regional Analysis

An intuïtive crowd density map of diiferent sub-regions is processed real-time.

“With this meter, we know exactly how many people are where, whether there are issues anywhere and we can see where people are moving to rapidly. So we can react rapidly in case an issue should appear.”


Our Markets


Based on our crowd analytics, public safety and accurate city marketing can be optimized with respect to the privacy of citizens.

Large events & Festivals

Our crowd analytics indicates critical hotspots and optimizes personnel allocations by providing a real-time crowd density dashboard.

Large venues

Situational awareness will be increased for large venues so that organisers and emergency services can be alerted in case of an anomaly.

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