Switzerland-based Assaia International AG is deploying a deep learning solution at Cincinnati/Northern Kentucky International Airport (CVG) to help airport employees monitor the turnaround time between flights.
Switzerland-based Assaia International AG, an NVIDIA Metropolis partner and member of the NVIDIA Inception acceleration platform for AI startups, is deploying a deep learning solution at Cincinnati/Northern Kentucky International Airport (CVG) to help airport employees monitor the turnaround time between flights.
The Turnaround Control tool will help the airport work with its airline partners to improve turnaround transparency, identify situations that most often cause delayed flights, and notify employees of deviations from the schedule.
“Assaia’s technology adds critical data points to CVG’s early-stage neural network for operational advancements,” said Brian Cobb, the airport’s chief innovation officer. “Structured data generated by artificial intelligence will provide information to make decisions, optimize airside processes, and improve efficiency and safety.”
The company uses NVIDIA Jetson AGX Xavier modules and the NVIDIA Metropolis intelligent video analytics platform to run image recognition and predictive analysis algorithms on video streams from multiple cameras around an airport.
By installing cameras at several gates, airports can optimize the cleaning, restocking and servicing of planes — saving time for customers and costs for the airlines.
Assaia is also deploying AI solutions at London Gatwick Airport and Seattle-Tacoma International Airport. Watch a replay from the recent GPU Technology Conference for more: