A system and method for emergency manual flight direction to a non-pilot enables the non-pilot an ability to safely land an aircraft after an event causing a single pilot of the aircraft to become unable to perform pilot tasks. The emergency flight director (EFD) receives inputs from a plurality of sources and displays information, maneuver, configuration and communication commands to the non-pilot on a flight deck display. Inputs to the system include aircraft state data as well as airport and current weather information associated with each available airport. The EFD determines an appropriate emergency landing runway and presents simplified commands coupled with animated aircraft specific graphics to the non-pilot to manually fly the aircraft to a safe landing.

The present disclosure provides a radio and method for automatically adjusting, in response to ambient noise, the volume setting of a radio. The radio comprises a microphone for receiving ambient audio and generating a microphone signal; a codec for receiving the microphone signal and generating a processor signal representative of the ambient audio; and processor circuitry operable to receive the processor signal, determine an ambient audio level in response to the processor signal, and determine an adjusted radio volume to generate a radio volume control signal, wherein the adjusted radio volume is determined by calculating a difference between a baseline volume level and ambient audio level and adding a current volume level setting, wherein the codec is also operable to receive the radio volume control signal and generate an output signal to adjust the radio volume setting to maintain a net difference between the adjusted radio volume and ambient audio.

A device includes a transceiver, a receiver, and a processor. The transceiver is configured to receive feedback data from an unmanned aerial vehicle (UAV) and transmit control data to the UAV via a first communication link. The receiver is configured to receive the control data from a controlling terminal via a second communication link. The second communication link does not interfere with the first communication link. The processor is configured to determine whether the feedback data and the control data are being simultaneously transmitted via the first communication link.

A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

A method of assessing an operator emotional state and sending an alert based on the emotional state. The method includes tracking during a time period, using at least one sensor, one of an image sensor data, voice data or a biometric parameter of an operator. Determining, using a controller that is operatively connected to at least one sensor, a probability of a likely emotional state from a list of emotional states of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing, using a processor, the probability of one of the likely emotional states of the operator with a baseline emotional state of the operator. Sending, using the controller, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

A passenger cabin monitoring system includes infrared cameras disposed in respective passenger rest compartments, a flight attendant information system including at least one display and at least one speaker, and a computing device in communication with the infrared cameras and the flight attendant information system. The computing device is configured to detect a temperature of a portion of passenger rest compartment based on one or more thermal images generated by a respective infrared camera of the passenger rest compartment. The computing device is further configured to compare the temperature of the portion of the passenger rest compartment with a predetermined critical temperature and provide an audible alert and/or a visual alert via the flight attendant information system to indicate a critical status of the passenger rest compartment when the temperature of the portion of the passenger rest compartment is above the predetermined critical temperature.

A computer-implemented method for prioritized flight data transmission includes receiving a frame of flight data from one or more aircraft data sensors, the frame of flight data comprising a plurality of parameters collected from one or more avionics systems, associating each parameter of the plurality of parameters with a respective priority level, decomposing the frame of flight data into a plurality of flight data frame layers, wherein each flight data frame layer of the plurality of flight data frame layers comprises a subset of the plurality of parameters having respective priority levels that are equivalent, and transmitting, to a ground station, a first flight data frame layer of the plurality of flight data frame layers comprising parameters having a highest respective priority level.

The present invention relates to an on-board emergency remote assistance and data retrievable system configured to download and retrieve image, audio and video information from the inside and outside of a manned aerial vehicle (MAV) using an on-board unmanned aerial vehicle (UAV), while the MAV is either in the air or crashed. The UAV system comprising at least one drone in coordination with a remote station to automatically locate a distressed MAV while in operation, to track it and provide assistance when possible, wherein the drone being integrated into the MAV. The system of the present invention conclusively prevents the lost or disappearance, and crash of the manned aerial vehicle without a trace.

The present disclosure generally relates to aircraft systems and methods including determining, based on location data from a navigation system, whether one or more conditions have been met enabling arming of an approach mode of the autopilot system. The systems and methods include, when the one or more conditions enabling arming of the approach mode are determined to be met, starting a first timer of a first period of time and, at the same time, providing a first message, via an output system to alert a pilot to arm the approach mode via manual input to a user interface. The systems and methods include, when the first period of time has expired and a determination is made that the approach mode has still not been armed, starting a second timer of a second period of time and, at the same time, providing, via the output system, a second message, different to the first message, to arm the approach mode via manual input to the user interface. When the second period of time has expired and a determination has been made that the approach mode continues to have not been armed via manual input to the user interface, the approach mode is automatically armed.