Abstract: Provided are embodiments for performing automated defect detection for a flexible member using image processing. The techniques include monitoring, by one or more sensors, a flexible member to obtain sensor data, converting the sensor data from the one or more sensors to image data, and receiving reference image data to compare to the image data. The techniques also include determining a defect based on the comparison and threshold setting information for the flexible member, and transmitting a notification based on the defect.

Abstract: The present disclosure provides embodiments of intelligent cabin management systems and methods. In embodiments, a system includes video cameras for capturing live video streams, an enhancement module for enhancing the live video stream, at least one analytics module for analyzing the enhanced video stream to generate analytics data, and a reporting system for reporting the generated data to at least one of avionics system, crew system and maintenance crew system. The at least one analytics module includes models trained to identify features and reconcile the same against known parameters to determine at least one of compliance and damage. In use, the system alerts crews to issues requiring correction or attention to ensure efficient cabin management.

Abstract: A windshield wiper system for use on an aircraft includes a controller and a wiper assembly including a wiper arm, a wiper blade, and a moving block. Further, the windshield wiper system includes a rail assembly including a rail assembly rack, a plurality of electromagnets, and an electrical interface. The electrical interface and the plurality of electromagnets induce a force on the moving block of the wiper assembly, causing the wiper assembly to sweep across the windshield of the aircraft. The controller is coupled to the rail assembly and the controller is configured to direct the motion of the wiper assembly through command signals to the rail assembly.

Abstract: A system for detecting and tracking an object that is exhibiting an anomalous behavior from a helicopter is disclosed. The system includes a search light connected to the helicopter; a camera; and a processor including an object detection module coupled to the search light and the camera, the object detection module being configured to receive a plurality of images from the camera, compare the plurality of images against a pattern database, determine the object is exhibiting the anomalous behavior and instruct the search light to point toward the object.

Abstract: A method of monitoring cargo loading by an aircraft field device may be used to detect damage to cargo and ULDs, reducing the need for manual inspection of the cargo and/or eliminate the need for constant human monitoring of cargo loading. The method may comprise scanning ULDs and receiving image data of the ULDs, and sending the data to an on ground infrastructure network. The on ground infrastructure network may classify ULD type and classify damage to the ULDs. The damage classification may be received by the field device. The field device may generate an alert and/or halt cargo loading in response to the damage classification.

Abstract: A system including an array of audio devices installed in an aircraft cabin and an audio processing device. The audio processing device may be configured to: monitor a channel of microphone audio data from each of at least two of the audio devices; analyze the monitored channels of microphone audio data; identify an event to be an occurrence of a predetermined event based at least on the analyzing of the monitored channels of microphone audio data; based at least on the identified event and the analyzing of the monitored channels of microphone audio data, generate an event report associated with at least one channel of microphone audio data associated with the identified event; output the event report to a crew panel; and output at least a portion of microphone audio data of the at least one channel of microphone audio data associated with the identified event to the crew panel.

Abstract: A system including an array of audio devices installed in an aircraft cabin and an audio processing device. The audio processing device may be configured to: monitor a channel of microphone audio data from each of at least two of the audio devices; analyze the monitored channels of microphone audio data; identify an event to be an occurrence of a predetermined event based at least on the analyzing of the monitored channels of microphone audio data; based at least on the identified event and the analyzing of the monitored channels of microphone audio data, generate an event report associated with at least one channel of microphone audio data associated with the identified event; output the event report to a crew panel; and output at least a portion of microphone audio data of the at least one channel of microphone audio data associated with the identified event to the crew panel.

Abstract: A method for monitoring an aircraft cargo bay using an aircraft interface device may comprise receiving image data of a cargo bay of an aircraft. The method may further comprise detecting movement in the cargo bay, directing a camera to activate in response to that movement, and processing the captured image data. The aircraft interface device may include pre-trained neural network based algorithms configured for event classification. The method may further comprise generating an alarm based on a theft event classification and transmitting the alarm to an aircraft.

Abstract: A component inspection system for monitoring and detecting damage to components of a cargo handling system may comprise a first camera configured to monitor a first detection zone, and an inspection controller configured to analyze image data output by the first camera. The inspection system controller may be configured to identify a component of the cargo handling system in the image data received from the first camera and determine a state of the component. The state of the component may be at least one of a normal state or a damaged state.

Abstract: An assembly is provided for an aircraft. This aircraft assembly includes a fuselage and a second system. The fuselage includes a wall and a hatch configured to close an opening in the wall. The sensor system includes an optical fiber, a transmitter and a receiver. The optical fiber is arranged at an interface between the hatch and the wall. The transmitter is configured to transmit first electromagnetic radiation into the optical fiber. The receiver is configured to detect second electromagnetic radiation received from the optical fiber to provide receiver data. The sensor system is configured to detect fluid leakage across the interface between the hatch and the wall based on the receiver data.

Abstract: A method of monitoring an aircraft interior includes capturing an image using at least one camera mounted within the fuselage of the aircraft, the image being a captured image including individual image frames. The method further includes modifying the captured image and generating an optimized image using an image processing module, detecting an animate object within the optimized image and identifying features of the animate object using an object detection module, and displaying the optimized using a display module.

Abstract: A component inspection system for monitoring and detecting damage to components of a cargo handling system may comprise a first camera configured to monitor a first detection zone, and an inspection controller configured to analyze image data output by the first camera. The inspection system controller may be configured to identify a component of the cargo handling system in the image data received from the first camera and determine a state of the component. The state of the component may be at least one of a normal state or a damaged state.

Abstract: An aircraft search light system is disclosed. Voice commands may be used to control one or more aspects of the operation of the aircraft search light system, including to initiate the detection of objects in image data, to select a particular object in the image data to be tracked by the search light, and the like. The search light may be moved based upon processed image data, for instance such that the selected object continues to be illuminated by the search light. Voice commands may also be used to initiate movement the search light relative to the selected object (e.g., to keep the selected object in the field of view of the search light). Audio output may be generated by the aircraft search light system to provide information to aircraft personnel on the processed image data, and on which one or more subsequent voice commands may be based.

Abstract: A method of monitoring an aircraft interior includes capturing an image using at least one camera mounted within the fuselage of the aircraft, the image being a captured image including individual image frames. The method further includes modifying the captured image and generating an optimized image using an image processing module, detecting an animate object within the optimized image and identifying features of the animate object using an object detection module, and displaying the optimized using a display module.

Abstract: A windshield wiper system for use on an aircraft includes a controller and a wiper assembly including a wiper arm, a wiper blade, and a moving block. Further, the windshield wiper system includes a rail assembly including a rail assembly rack, a plurality of electromagnets, and an electrical interface. The electrical interface and the plurality of electromagnets induce a force on the moving block of the wiper assembly, causing the wiper assembly to sweep across the windshield of the aircraft. The controller is coupled to the rail assembly and the controller is configured to direct the motion of the wiper assembly through command signals to the rail assembly.

Abstract: A system for detecting and tracking an object that is exhibiting an anomalous behavior from a helicopter is disclosed. The system includes a search light connected to the helicopter; a camera; and a processor including an object detection module coupled to the search light and the camera, the object detection module being configured to receive a plurality of images from the camera, compare the plurality of images against a pattern database, determine the object is exhibiting the anomalous behavior and instruct the search light to point toward the object.

Abstract: An aircraft search light system is disclosed. Voice commands may be used to control one or more aspects of the operation of the aircraft search light system, including to initiate the detection of objects in image data, to select a particular object in the image data to be tracked by the search light, and the like. The search light may be moved based upon processed image data, for instance such that the selected object continues to be illuminated by the search light. Voice commands may also be used to initiate movement the search light relative to the selected object (e.g., to keep the selected object in the field of view of the search light). Audio output may be generated by the aircraft search light system to provide information to aircraft personnel on the processed image data, and on which one or more subsequent voice commands may be based.

Abstract: Systems and methods for operating a potable water system in an aircraft are provided. Aspects include determining, by a controller, flight data associated with a flight for the aircraft, determining passenger data associated with the flight, determining an estimated water consumption for the potable water system associated with the aircraft based on the passenger data, determining a water quantity value for the flight based at least in part on the flight data and the estimated water consumption, and transmitting, by the controller, a request for the water quantity value for the potable water system for the flight to a water fulfillment system.

Abstract: Provided are embodiments for performing automated defect detection for a flexible member using image processing. The techniques include monitoring, by one or more sensors, a flexible member to obtain sensor data, converting the sensor data from the one or more sensors to image data, and receiving reference image data to compare to the image data. The techniques also include determining a defect based on the comparison and threshold setting information for the flexible member, and transmitting a notification based on the defect.

Abstract: An occupant restraint system includes a plurality of occupant residences each including a restraint assembly having a latch mechanism manually movable between a latched state and an unlatched state and an electric lock mechanism movable from an unlocked state to a locked state when the latch mechanism is in the latched state. The control console includes an electronic display of the plurality of occupant residences and a user interface for actuating the electric lock mechanism between the locked state and the unlocked state. An occupancy tabulation system is constructed and arranged to send a signal to the control console indicative of occupied residences of the plurality of occupant residences for displaying an occupied condition associated with the occupied residences on the electronic display.