Abstract: Example implementations associated with the aspects of the present invention include a low altitude aircraft identification system composed by three components: a small aircraft electronic identification box with an embedded logger, a ground identification equipment to automatically identify the aircraft just pointing at it, and an identification code database. The identification code can be transmitted by a visible light color sequence or by a radio frequency signal. The ground identification device is capable of recognizing both kinds of code.

Abstract: An indication of a detected security event is received. One or more sensors are selected based on the detected security event. The selected sensors are used to detect additional information associated with a protected airspace associated with the detected security event. A risk level assessment associated with the detected security event is determined based at least in part on the additional information detected using the selected sensors. A response is automatically invoked based on the determined risk level assessment.

Abstract: An aerial vehicle system comprises a radar system and a processor. The radar system is configured to transmit a radar signal. The transmitted radar signal is reflected off an object to produce a reflected radar signal. The radar system is configured to receive the reflected radar signal and provide a signature associated with the reflected radar signal. The signature has been adjusted based at least in part on a flight parameter of the aerial vehicle system. The processor is configured to classify the object as an unmanned aerial vehicle based on the adjusted signature and initiate an action based on a classification of the object.

Abstract: An aerial vehicle system includes a signal generator, a plurality of computing components, a plurality of communication antennas, a first structural component configured to at least in part block a noise signal generated by the signal generator from the plurality of computing components, and a second structural component configured to at least in part block the noise signal generated by the signal generator from the plurality of communication antennas, wherein the first structural component and the second structural component form a portion of a structural frame of the aerial vehicle system.

Abstract: An aerial vehicle system is comprised of a detector, a signal generator, and a transmitter. The detector is configured to detect a presence of a target unmanned aerial vehicle within a range of the aerial vehicle system. The signal generator is configured to generate a communication disruption signal. The transmitter is configured to trigger a transmission of the communication disruption signal based in part on the detected presence of the target unmanned aerial vehicle.

Abstract: A flight control operation of a reference aerial vehicle is performed. For example, an image captured by an image sensor of the reference aerial vehicle is received. A target is detected in the image. A three-dimensional relative location of the target with respect to the reference aerial vehicle is determined based on the image. The flight control operation is performed based on the three-dimensional relative location of the target with respect to the reference aerial vehicle.

Abstract: A spatio-temporal awareness engine combines a low-resolution tracking process and high resolution tracking process to employ an array of imaging sensors to track an object within the visual field. The system utilizes a low-resolution conversion through noise filtering and feature consolidation to load-balance the more computationally-intensive aspects of object tracking, allowing for a more robust system, while utilizing less computer resources. A process for target recovery and object path prediction in a robotic drone may include tracking targets using a combination of visual and acoustic multimodal sensors, operating a camera as a main tracking sensor of the multimodal sensors and feeding output of the camera to a spatiotemoral engine, complementing the main tracking sensor with non-visual, fast secondary sensors to assign rough directionality to a target tracking signal, and applying the rough directionality to prioritize visual scanning by the main tracking sensor.

Abstract: A spatio-temporal awareness engine combines a low-resolution tracking process and high resolution tracking process to employ an array of imaging sensors to track an object within the visual field. The system utilizes a low-resolution conversion through noise filtering and feature consolidation to load-balance the more computationally-intensive aspects of object tracking, allowing for a more robust system, while utilizing less computer resources. A process for target recovery and object path prediction in a robotic drone may include tracking targets using a combination of visual and acoustic multimodal sensors, operating a camera as a main tracking sensor of the multimodal sensors and feeding output of the camera to a spatiotemoral engine, complementing the main tracking sensor with non-visual, fast secondary sensors to assign rough directionality to a target tracking signal, and applying the rough directionality to prioritize visual scanning by the main tracking sensor.

Abstract: A wireless communication receiver is used to receive a wireless signal that identifies an identifier transmitted by an aircraft. A token value and a vehicle identifier are obtained from the received transmitted identifier. A secret corresponding to the vehicle identifier is obtained. A synchronized time value is obtained. A comparison token value is generated using the secret and the synchronized time value. The obtained token value and the generated comparison token value are compared to determine an authenticity of the received transmitted identifier.

Abstract: Example implementations associated with the aspects of the present invention include a low altitude aircraft identification system composed by three components: a small aircraft electronic identification box with an embedded logger, a ground identification equipment to automatically identify the aircraft just pointing at it, and an identification code database. The identification code can be transmitted by a visible light color sequence or by a radio frequency signal. The ground identification device is capable of recognizing both kinds of code.

Abstract: A system for identifying an unmanned aerial vehicle (UAV) detected in a location includes a reader device. The reader device includes a receiver configured to receive identification information transmitted from the UAV, and a transmitter configured to provide the received identification information to an identification server. The identification server includes a memory configured to store UAV registration information associated with the UAV, a receiver configured to receive the identification information provided by the reader device, and a processor configured to provide a verification of the identification information received by the reader based on the provided identification information and the stored UAV registration information.

Abstract: A touch pad system is disclosed. The system includes mapping the touch pad into native sensor coordinates. The system also includes producing native values of the native sensor coordinates when events occur on the touch pad. The system further includes filtering the native values of the native sensor coordinates based on the type of events that occur on the touch pad. The system additionally includes generating a control signal based on the native values of the native sensor coordinates when a desired event occurs on the touch pad.

Abstract: Example implementations associated with the aspects of the present invention include a low altitude aircraft identification system composed by three components: a small aircraft electronic identification box with an embedded logger, a ground identification equipment to automatically identify the aircraft just pointing at it, and an identification code database. The identification code can be transmitted by a visible light color sequence or by a radio frequency signal. The ground identification device is capable of recognizing both kinds of code.

Abstract: A flight control operation of a reference aerial vehicle is performed. For example, an image captured by an image sensor of the reference aerial vehicle is received. A target is detected in the image. A three-dimensional relative location of the target with respect to the reference aerial vehicle is determined based on the image. The flight control operation is performed based on the three-dimensional relative location of the target with respect to the reference aerial vehicle.

Abstract: Example implementations associated with the aspects of the present invention include a low altitude aircraft identification system composed by three components: a small aircraft electronic identification box with an embedded logger, a ground identification equipment to automatically identify the aircraft just pointing at it, and an identification code database. The identification code can be transmitted by a visible light color sequence or by a radio frequency signal. The ground identification device is capable of recognizing both kinds of code.

Abstract: Example implementations associated with the aspects of the present invention include a low altitude aircraft identification system composed by three components: a small aircraft electronic identification box with an embedded logger, a ground identification equipment to automatically identify the aircraft just pointing at it, and an identification code database. The identification code can be transmitted by a visible light color sequence or by a radio frequency signal. The ground identification device is capable of recognizing both kinds of code.

Abstract: A spatio-temporal awareness engine combines a low-resolution tracking process and high resolution tracking process to employ an array of imaging sensors to track an object within the visual field. The system utilizes a low-resolution conversion through noise filtering and feature consolidation to load-balance the more computationally-intensive aspects of object tracking, allowing for a more robust system, while utilizing less computer resources. A process for target recovery and object path prediction in a robotic drone may include tracking targets using a combination of visual and acoustic multimodal sensors, operating a camera as a main tracking sensor of the multimodal sensors and feeding output of the camera to a spatiotemoral engine, complementing the main tracking sensor with non-visual, fast secondary sensors to assign rough directionality to a target tracking signal, and applying the rough directionality to prioritize visual scanning by the main tracking sensor.

Abstract: An electronic system includes: a control unit configured to: detect a motion applied to a device with a display in a mode; select another mode of the display based on the device motion; and a user interface, coupled to the control unit, configured to apply a screen motion to the another mode of the display.

Abstract: An computing system includes: a communication unit configured to receive a discovery request, including a client presence factor, having a scan pattern for discovering a target device; a control unit, coupled to the communication unit, configured to: determine a target device coordinate based on the discovery request for identifying a client device relative to the target device, determine a device connectivity based on the target device coordinate, the client presence factor, or a combination thereof for establishing a backhaul communication between the client device and the target device, and a user interface, coupled to the control unit, configured to present a device information based on a trust level for displaying the device information of the client device having the device connectivity of connected with the target device.

Abstract: An electronic system includes: a raise objects module configured to raise a first object along a Z-axis displaying the first object above a display; a height determination module, coupled to the raise objects module, configured to generate a first adjustment value based on a height determining factor including frequency; and an adjustment module, coupled to the height determination module, configured to adjust the first object along the Z-axis based on the first adjustment value.