The ePAX-Flow project, supported by the Hanseatic City of Hamburg Investment and Development Bank, aimed to improve and equalize the travel chain through intelligent control of the passenger flow on the way to and from the airport, in the airport building and on the plane, while meeting increased hygiene requirements. As part of the project consortium Bertrandt Technology Germany set out to monitor and improve the aircraft boarding process, utilizing multiple camera input  passed  to a specifically trained Deep Neural Network to detect and track passengers entering the cabin.