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.
Real time deep-learning model for crowded environments
World leader in accurate crowd detection algorithms providing a 97.01% performance
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.
Fulmar provides an on edge self-hosted server that eliminates additional network latency, delivering faster speeds.
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
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.
Fulmar protects the personal data and privacy of passengers complaining GDPR regulations
Ready to take Fulmar for a test ride?
Fill out the form and our Expert will show you how Fulmar works, with plenty of time set aside for questions.