Abstract: A situation recognition device (10) including a surveillance processor (1) and an AI system (3). The surveillance processor receives visual and/or acoustic surveillance signals (E) from an aircraft passenger compartment (20) via an input interface (7). The AI system (3) includes an AI processor (4), a rule set generator (5) based on self-learning algorithms, and a reference rule set memory (6). The AI system is in bidirectional data communication with the surveillance processor (1). The AI processor (4) checks, upon a request (Q) from the surveillance processor (1), 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 (6). The surveillance processor (1) outputs indicator signals (A) via the output interface (8) if deviations determined by the AI processor (4) exceed one or more predefinable deviation threshold values.

Abstract: A monitoring system network has a plurality of sensor nodes with a sensor control device and at least one sensor element coupled to the sensor control device, a first hierarchical network layer with a plurality of network function nodes, each coupled to at least one of the plurality of sensor nodes, and a second hierarchical network layer with a plurality of network central nodes, each coupled to at least one of the plurality of network function nodes. The sensor control devices of the sensor nodes, the network function nodes and the network central nodes of the monitoring system network form a distributed system on which distributed applications can be performed for the evaluation of the sensor data signals captured by the sensor elements of the sensor nodes.

Abstract: A monitoring system network has a plurality of sensor nodes with a sensor control device and at least one sensor element coupled to the sensor control device, a first hierarchical network layer with a plurality of network function nodes, each coupled to at least one of the plurality of sensor nodes, and a second hierarchical network layer with a plurality of network central nodes, each coupled to at least one of the plurality of network function nodes. The sensor control devices of the sensor nodes, the network function nodes and the network central nodes, in each case, have a data processing device and a configuration memory which is coupled to the data processing device and designed to store configuration data for different configurations of the respective data processing device.

Abstract: A situation recognition device (10) including a surveillance processor (1) and an Al system (3). The surveillance processor receives visual and/or acoustic surveillance signals (E) from an aircraft passenger compartment (20) via an input interface (7). The Al system (3) includes an Al processor (4), a rule set generator (5) based on self-learning algorithms, and a reference rule set memory (6). The Al system is in bidirectional data communication with the surveillance processor (1). The Al processor (4) checks, upon a request (Q) from the surveillance processor (1), 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 (6). The surveillance processor (1) outputs indicator signals (A) via the output interface (8) if deviations determined by the Al processor (4) exceed one or more predefinable deviation threshold values.

Abstract: 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.

Abstract: 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.