Airbus Operations Gmbh

Joern Stuebner

Holger Mehrholz

Axel Redemann

Michael Schmelz

A situation recognition device () including a surveillance processor () and an AI system (). The surveillance processor receives visual and/or acoustic surveillance signals (E) from an aircraft passenger compartment () via an input interface (). The AI system () includes an AI processor (), a rule set generator () based on self-learning algorithms, and a reference rule set memory (). The AI system is in bidirectional data communication with the surveillance processor (). The AI processor () checks, upon a request (Q) from the surveillance processor (), data patterns in the received visual and/or acoustic surveillance signals (E) for deviations from data patterns in a reference rule set (R) stored in the reference rule set memory (). The surveillance processor () outputs indicator signals (A) via the output interface () if deviations determined by the AI processor () exceed one or more predefinable deviation threshold values.

Situation recognition device, aircraft passenger compartment and method for surveillance of aircraft passenger compartments

An aircraft ground support equipment, GSE, unit for externally accessing video data from an aircraft video surveillance system, AVSS. The GSE unit constitutes a back-up AC power supply for the aircraft's AVSS and comprises a power output connector for connecting a power cable to a ground connection panel on the outside of the aircraft. AC power is supplied either by a rechargeable battery through a converter, or by mains power plugged into the GSE unit. A power source selection switch is switched to route either battery power or external power to the aircraft dependent on factors including battery status, presence of power at the external power connector and presence of power in the aircraft. Video data from the AVSS can thus be streamed out, even in the absence of aircraft power, for example to a portable personal computer.

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Hamburg, Germany

Joern Stuebner