Your infrastructure free of COVID-19

We combine the state of the art technologies (facial recognition, crowd analytics and Body thermal control) to provide your infrastructure a differential solution for passenger tracking and monitoring, with greater precision and lower deployment costs to help prevent the spread of COVID -19.

Our technology

Real time deep-learning model for crowded environments

Accurate

World leader in accurate crowd detection algorithms providing a 97.01% performance

Deployment

Fulmar tracks passengers based on live video streams coming from commercial (COTS) fisheye cameras. These video streams are processed using the latest artificial intelligence techniques to obtain up to 1,5 X additional coverage per sensor.

Speed

Fulmar provides an on edge self-hosted server that eliminates additional network latency, delivering faster speeds.

Sensor
  • Fulmar runs with any ceiling-mounted COTS camerao Resolution 2880X2880
  •  Frame Rate 25fps
  •  Sensor size in Mpx 12o Angle 360
  •  Fixed lens

Fulmar in action

Insight discovery

Insight discovery makes it possible to conduct a detailed user friendly analysis of passenger behavior. It is a decision-making support tool that helps the airport to maximize non-aeronautical revenues and to optimize the asset utilization

  •  Real time metrics such as actual waiting times, estimated waiting times, dwell time, occupancy per zone, asset utilization
  •  Heatmaps
  •  Real time passenger visualization over an airport map
  •  Origin destination routes
  •  API to share Fulmar data with third party systems

Insight discovery

Passenger activity forecast

Machine learning ensures continuous fact-based improvement and makes it possible to provide a long term and real time forecast for advance resource utilization and customer experience.

  •  Passenger demand forecasting presents arrival time-distributions of passengers in different points of interest within the passenger process in the airport terminal (access, check-in, security check point, boarding, etc.)
  •  Waiting time forecast. Through this prediction, airport managers shall be able to know what the waiting times are forecasted in regular operations for a specific passenger demand in a specific point of a day.

Passenger activity forecast

GDPR compatible

Fulmar protects the personal data and privacy of passengers complaining GDPR regulations

GDPR compatible

Fulmar architecture

Fulmar architecture

Our success is measured by results

+ 500
Million passengers

+ 140
Airports

+ 30
Countries

+ 40
Years of experience

Grow your business with our partner program

Our airport solutions will enhance your specialisation and improve your position in your customers'eyes.They will also help you explore new business niches with them.

Want to Learn More?

Contact us

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Fill out the form and our Expert will show you how Fulmar works, with plenty of time set aside for questions.

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