A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach

Serdar Yildiz, Onur Aydemir, Abbas Memis, Songül Varli

Abstract: Highlights•A deep learning and computer vision based turnaround control system is proposed.•Ground service actions in airports are automatically detected and monitored.•The proposed system is capable of real-time data processing and monitoring.•Constructed learning models were evaluated on real-life cases.•Successful results were achieved in detection of the airport ground service actions.