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    September 14, 2023

    How Beonic's CrowdVision Creates the Airport of the Future

    According to J.D. Power study, airport satisfaction is down by 25 points. But how can airports improve efficiency and user satisfaction?

    The solution is Beonic's advanced computer vision solution, CrowdVision.

    We are excited to acquire CrowdVision and help strengthen our video analytics and LiDAR capabilities.

    CrowdVision’s market-leading computer vision and machine learning algorithms improve pedestrian traffic analytics’ quality, accuracy, and validity.

    These crucial advancements let us craft innovative, custom solutions for our customers based on their unique needs and environments.

    These tailored solutions are incredibly beneficial in busy spaces like transport hubs, stadiums, and airports.

    In particular, airport operators can manage passenger traffic flow and optimize the journey from start to finish much easier.

    Data from cameras, WiFi, people counters, LiDAR, car parking, and flight information systems can also optimize airport operations.

    The data provides a complete view of the passenger from when they park until they board their flight. For example, this helps airports assess where congestion occurs and enables the opportunity to take prompt action.

    These data inputs ingested into an advanced platform combined with expert analysis will make airports of the future a reality today.

    Skyfii diagram

    CrowdVision Use Cases for Airports

    Beonic and CrowdVision solutions create smarter, more efficient, and more enjoyable experiences for airport passengers. Our data technologies can improve:

    Airport Curb-to-Gate Times

    Data helps airports visualize passengers’ paths to their gates, how long they wait and where, and identify bottlenecks.

    They can also analyze this historical and real-time data to improve curb-to-gate time.

    Airport Parking Utilization and Optimization

    Understand and predict the most utilized parking zones based on airline or terminal schedules.

    Optimize them by first understanding occupancy based on the time and day of the week. These historical and real-time trends help make parking a more efficient experience and also reduce curb-to-gate time.

    Airport Crowd Management

    Data helps predict congestion and traffic flow in instances of emergencies or incidents.

    For example, if there is a fire, data can predict where occupants are most likely to congregate and where they may exit the airport. This helps operational teams proactively ensure clear pathways and signage in high-risk areas before an incident occurs.

    Real-time reports and automated alerts can also help emergency services know occupants’ locations during an evacuation.

    Airport Gate Scheduling and Optimization

    Optimize gate schedules and changes based on predicted pedestrian journey times and congestion.

    Airports can analyze flight data from AODB, CUPPS, CUTE, and CUSS systems. They can also use historical pedestrian data from cameras, WiFi, or LiDAR.

    Airport Queue Monitoring and Alerting

    Measure and monitor queues in real-time. This data helps airports reduce length and wait times.

    You can also alert staff when queues need attention or redirection.

    Airport Checkpoint Optimization

    As per queue monitoring, data provides a holistic view of occupancy at any time in any area.

    Airports can use this information to perform queue analysis and improve checkpoint efficiency.

    Passenger Experience KPIs

    Passenger satisfaction is a critical KPI for airports to measure the effectiveness of airport processes.

    For example, airports can gauge passenger satisfaction via surveys deployed on guest WiFi, mobile app, SMS, or email. Then use that data to improve the passenger experience.

    Data analysis can also help identify bottlenecks and other ways to reduce queue times. This is one of the most popular ways to improve passenger satisfaction.

    Social Distancing Management

    Data from cameras can provide notifications to airport staff when occupants are not following social distancing policies.

    Self-Service Asset Utilization

    Computer vision data provides insight into automated assets, including:

    • Self-service check-in kiosks
    • Navigational aids
    • Automated immigration
    • Bag ‘drop’ zones

    Airport Staff Optimization

    Analytics provide real-time data about flows and queues. This data helps airports schedule and optimize staffing needs.

    In the event of an incident, data can also detect the area needing attention in real-time and notify staff instantaneously.

    In addition, staff can receive automated notifications of cleaning cycles or when areas need more cleaning based on increased use.

    Ready to Maximize Your Airport Operations?

    By analyzing these data inputs, airports can understand what is happening to an entire passenger population in real-time.

    Leveraging this critical data also increases efficiency and profitability while improving passengers’ experience. Moreover, historical data accumulates and can provide reliable evidence for planning, maintenance management, and investment decisions.

    Ready to boost passenger experience and your profits? Get invaluable tracking data and insights to make informed decisions with Beonic's computer vision solutions.

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