We are excited to have acquired CrowdVision to help us strengthen our video analytics and LiDAR capabilities. CrowdVision’s market leading computer vision and machine learning algorithms improve the quality, accuracy, and validity of pedestrian traffic analytics.
These advancements are important because they enable us to design the most suitable and innovative solutions for our customers based on their unique requirements and environments. These solutions are incredibly beneficial in busy spaces like transport hubs, stadiums, and airports. In particular, airport operators need to manage the flow of passenger traffic and optimize the passenger journey from start to finish.
Data from cameras, WiFi, people counters, LiDAR, car parking and flight information systems can provide airports a complete view of the passenger from the moment 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.
Airport use cases
These are the use cases Skyfii and CrowdVision solutions enable, through the combination of the data technologies outlined above, to create smarter, efficient, and more enjoyable experiences for airport passengers.
- Curb to gate times – Data can help airports visualize the path passengers take to get to their gate, how long they wait and where, and identify bottlenecks. They can analyze this historical and real-time data to improve curb to gate time.
- Parking utilization and optimization – Understand and predict which parking zones are most utilized based on airline or terminal schedule. Optimize them by first understanding occupancy based on time of day and day of week. These historical and real-time trends can make parking a more efficient experience and reduce curb to gate time.
- Crowd management – Data can help predict congestion and traffic flow in instances of emergencies or incidents. For example, in the event of a fire, data can predict where occupants are most likely to congregate and which way they will most likely take to exit the airport. This helps operational teams be proactive to ensure clear pathways and signage in high risk areas before an incident occurs. Real-time reports and automated alerts can help emergency services know where occupants are located if a building must be evacuated.
- Gate scheduling and optimization – Optimize gate schedules and gate changes based on predicted pedestrian journey times and congestion. Airports can do this by analyzing flight information data from AODB, CUPPS/CUTE/CUSS systems, and correlating with historical pedestrian data from cameras, WiFi, or LiDAR.
- Queue monitoring and alerting – Measure and monitor queues in real-time in order to reduce length and wait times. Alert staff when queues need attention or redirection.
- Checkpoint optimization – As per queue monitoring, data can provide a holistic view of occupancy at any given time in any area. Airports can use this information to perform queue analysis to improve checkpoint efficiency.
- Passenger experience KPIs – Passenger satisfaction is one of the most important KPIs for airports and is measured by the effectiveness of airport processes. Airports can gauge passenger satisfaction via survey deployed on guest WiFi, mobile app, SMS, or email and use the data to improve passenger experience. Data analysis can also help identify bottlenecks and other ways to reduce queue times which is one of the most popular ways to improve passenger satisfaction.
- Social distancing management – Data from cameras can provide notifications to airport staff when social distancing policies are not followed.
- Self service asset utilization – From self service check-in kiosks, navigational aids, automated immigration or bag ‘drop’ zones, computer vision data can provide insight into how these automated assets are utilized.
- Staff optimization – Analytics provide real-time data about flows and queues so airports can schedule future staffing needs and optimize staffing in the moment. In the event of an incident, data can detect the area in need of attention in real-time and notify staff instantaneously. Staff can also receive automated notifications of cleaning cycles or when areas need more cleaning based on increased use.
By analyzing these data inputs, airports can understand what is happening to an entire passenger population in real-time. This enables them to act decisively to increase efficiency and profitability while improving their passengers’ experience. Over time, this data accumulates and can provide reliable evidence for planning, maintenance management, and investment decisions.
If you are looking to improve your passengers’ experience as well as your bottom line, we can help provide the passenger tracking data and insights that you need to make better decisions.