The peak and troughs in the flow of passengers presents a challenge to many airlines and airports. One area where they could do with some help is to have kiosks which can be easily deployed when and where they are needed.
Using artificial intelligence and geo-navigation, SITA Lab has developed a new solution to meet this demand. KATE is an intelligent check-in kiosk that will autonomously move to busy or congested areas in the airport as needed, promising to relegate check-in queues to the past.
Using various data sources – including flight and passenger flow information – KATE can identify where additional check-in kiosks are required to reduce passenger queue times at check-in. KATE uses existing SITA data systems such as Day of Operations Business Intelligence and FlightInfo API.
Multiple robotic kiosks can be automatically or manually deployed simultaneously and in formation to assist passengers, providing airports and airlines greater flexibility in managing peaks in passenger flow. The kiosks can also communicate through a Cloud service to ensure that the right number of kiosks are at the right position when needed, making them highly responsive to changes in the airport.
SITA’s cutting-edge robotic kiosk makes use of geo-location technology to find its way through the airport. KATE will use Wi-Fi to connect to vital airline and airport systems, dispensing with the need for cabling or other fixed attachments. This allows the kiosk to move around freely across the airport terminal, using obstacle avoidance technology to avoid bumping into people or things.
One of the key benefits of SITA’s autonomous kiosk is that it can be deployed anywhere inside the airport as well as other offsite locations such as train stations. This is particularly relevant during periods of disruption – such as weather delays or flight cancellations – where additional kiosks can be moved from landside to airside to check-in large numbers of rebooked passengers.