Smart airports

Managing crowds in airports is crucial to increase the passengers comfort and satisfaction. Control centers receive and process a wide array of input feeds. However, many of these existing approaches suffer from major accuracy, cost- and privacy related issues.

CrowdScan offers a system which identifies, analyses, and forecasts crowd densities to control passenger flows in a privacy friendly way.

    5 Airports

    How crowd analytics can improve your airport facilities

    Real-time estimation of crowd density and movement to …

      Improve passenger counting

      Real-time and accurate passenger counting at your airport is vital, but challenging. With large-scale movements of people in your facility throughout the day, it is vital you can identify areas of congestion to ensure passenger flow is not disrupted.

      Increase comfort

      Queues and overcrowdness are the bane of travellers' lives. CrowdScan gives your passengers the privacy friendly solution to make better informed decisions.

      Improved (daily) management

      Our real-time data allow for smarter and faster operational decision making, whilst generating insights for more efficient future planning.

      A safer and more reliable airport passenger flow system

      Get rapid visibility and notifications of anomalies or potential congestion on your network affecting public safety in order to take appropriate action or communicate more effectively with your own staff and emergency responders.


      Our way of working

      CrowdScan combines unique sensor technology and low-energy radio waves to count crowds in specific zones. Since we use neither mobile devices nor cameras our solution is 100% privacy-friendly and definitely complies with data protection regulation

        1. A thorough explanation and discussion of the use cases for the specific airport facility. Checking those findings against the data needs and the info that already exists. The result is a detailed project description.

        2. Realization of the project description which includes the installation, the data capture, the visualisation of the data and specific training.

        3. Periodic evaluation with operations management and emergency services involved regarding the interpretation, use and visualisation of the data and its conclusions.

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