Panasonic Avionics Corporation

Anand Desikan

Philip S Watson

Steven Bates

Samir Lad

Shankar L Shastry

Mehdi Izadyar

Andrew Timothy Masson

Kenneth William Sain

Dennis Rilea

Hanbin Liu

Alan Campbell

A system for data collection in a commercial travel setting is described. The system includes a plurality of sensor circuits that collect a plurality of sensor data values from in-flight entertainment (IFE) network. The system includes a sensor data processor that interprets the plurality of sensor data values. The system includes a passenger profile management controller configured that filters the plurality of sensor data values by processing a plurality of passenger profiles that are related to at least some of the plurality of sensor data values. The system generates a measurement index that is normalized with respect to the plurality of sensor data values or the plurality of passenger profiles.

Engagement measurement in in-flight entertainment systems

A testing and verification system for an equivalent physical configuration of an in-flight entertainment and communications system with one or more hardware components includes a virtual machine manager. One or more virtual machines each including a hardware abstraction layer is instantiated by the virtual machine manager according to simulated hardware component definitions corresponding to the equivalent physical configuration of the hardware components. The virtual machines are in communication with each other over virtual network connections. A test interface to the one or more virtual machines generate test inputs to target software applications installed on the virtual machines. A display interface is connected to the virtual machines, with results from the execution of the target software applications responsive to the test inputs are output thereto.

Virtualization of complex networked embedded systems

A system for predicting an outage for a commercial passenger vehicle is described. The system includes a storage configured to store travel information of an upcoming travel by the commercial passenger vehicle that is configured to provide a network connectivity for devices in the commercial passenger vehicle to remote devices; and a server configured to process the travel information and generate an output indicative of a probability of an outage of the network connectivity based on the travel information of the upcoming travel, and wherein the server is further configured to apply a machine learning algorithm that (1) processes the travel information based on history information related to a planned route to be taken during the upcoming travel and regulation information related to the upcoming travel and (2) determines the probability of the outage along the planned route.

Network connection outage prediction for commercial passenger vehicle

Devices, systems and methods for providing customized entertainment or productivity options to passengers on commercial passenger vehicles are disclosed. An exemplary method implemented by a computer on a commercial passenger vehicle includes receiving and storing from a server system communication on a memory and a display screen of a portable device of a passenger, prior to a start of a current travel segment of the commercial passenger vehicle, data for predictive preference selection during the current travel segment; determining, during the current travel segment, for the passenger, a personalized display menu of the passenger for one or more items or services from a plurality of items and services; and providing, during the travel segment, an interactive session having the personalized display menu based on the traveler profile and displayed on the display screen for the passenger on the portable device based on the determining.

Predictive preference selection for in-vehicle entertainment systems

Vehicle operations management systems can facilitate maintenance of commercial passenger vehicles. An operations management system includes a server and a maintenance computer. The server is configured to receive a message that indicates a maintenance performed on a device located in a commercial passenger vehicle or that indicates a performance status of the device located in the commercial passenger vehicle, generate, based on the message, a predictive maintenance list that recommends maintenance to be performed on one or more devices that belong to a category of devices that is the same as the category of devices to which the device indicated in the received message belongs, and send the predictive maintenance list to a maintenance computer. The maintenance computer is configured to receive and display the predictive maintenance list on a graphical user interface (GUI).

Operations management system for commercial passenger vehicles

Vehicle entertainment systems can obtain and use a list of predicted entertainment preferences for passengers located in or expected to be in commercial passenger vehicles. A first server can obtain the predicted entertainment preferences and can identify a multimedia content for at least one passenger based on a predicted entertainment preference. A second server located in the commercial passenger vehicle can receive and send the multimedia content to a media playback device associated with the at least one passenger. The second server can receive, from the media playback device, an indication of a preference of the at least one passenger for watching or listening to the multimedia content; update, based on the received indication of the preference, the entertainment preference for the at least one passenger to obtain an updated entertainment preference; and transmit the updated entertainment preference for the at least one passenger to the first server.

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San Ramon, CA, United States of America

Anand Desikan