"The idea is that airports generate vast amounts of big data on a daily basis and deep learning algorithms can then be used to find obscure relationships in the data to make things more efficient – like only selling seats that are available on an aircraft. Initial applications being put to use are aircraft identification for real-time gate statuses. Apparently airports have video cameras in key locations that can monitor the movement of aircraft."
"Fort Lauderdale-Hollywood International Airport (FLL) adopted Searidge technology to monitor aircraft movement as opposed to having humans do the same task: Searidge provided the ramp controllers at FLL with real time video footage from an array of video sensors, covering nearly the entire airport surface. Aimee, the Searidge AI platform, then used advanced object detection and recognition artificial neural network technology to detect aircraft on the airport surface by processing the video streams from 31 thermal video sensors installed across the airport. The system then uses these aircraft detections and their proximity to the airport gates to provide FLL staff with gate statuses for almost all gates."
Searidge Technologies'' Aimee is “an advanced neural network framework for development of Artificial Intelligence (AI) based solutions for air traffic control and airport efficiency“. The platform is made up of 4 different areas: * Computer Vision Processing (Remote/Digital Tower Video); * Natural Language Processing (Controller-Pilot Radio Telephony); * Flight Data/Surveillance Processing and Analysis; * Weather Processing.
Accurate statuses for almost all gates