A lens scanning mode hyperspectral imaging system and a rotor unmanned aerial vehicle include: an imaging lens, an imaging spectrometer and a surface array detector arranged in sequence and coaxial to a main optic axis, wherein the imaging spectrometer and the surface array detector are connected and mounted to each other; wherein the lens scanning mode hyperspectral imaging system further includes: a driving device for driving the imaging lens to translate relative to a plane where a slit of the imaging spectrometer is. The hyperspectral imaging system of the present invention overcomes the technical bias in the prior art that the imaging lens must be fixed, and the present invention provides relative motion between the target object and the imaging spectrometer by the lens scanning mode for imaging, which solves the image distortion problem of conventional hyperspectral imaging system using a slit scanning mode or a scanning mode.

A system and method for conducting electronic warfare on a target site includes the use of a small unmanned aircraft system (SUAS) having a fuselage and a Prandtl wing, wherein at least two electric ducted fans are positioned on the fuselage. A power system of the SUAS has a plurality of hydrogen fuel cells positioned within the Prandtl wing. An electronic warfare payload is carried by the fuselage, wherein the electronic warfare payload and the at least two electric ducted fans are powered by at least a portion of the plurality of hydrogen fuel cells. During an operation, the SUAS may launch near an IAD site and initiate an electronic warfare effect on an integrated air defense site with electronic warfare payload carried by the SUAS to interfere with at least one surface-to-air missile (SAM) system.

Methods, systems, and devices for wireless communications are described. A wireless device may receive a broadcast remote identification (BRID) message from a unmanned aerial vehicle (UAV), where the BRID message may include an identity of the UAV. The wireless device may identify UAV information associated with the UAV based on the UAV ID. In some cases, the wireless device may be configured with information that enables the identification of the UAV information. In other cases, the wireless device may request the UAV information from a network entity, such as a UAV flight management system (UFMS), which provides the requested UAV information. In some examples, the UFMS may request the UAV information from an unmanned aerial system (UAS) service supplier (USS) based on the BRID information. Upon identifying the UAV information, the wireless device may broadcast the UAV information to manned aerial vehicles, thereby indicating a presence of the UAV.

A system and method for obtaining real-time data regarding the condition of a crop and planning and executing an irrigation cycle in response to the data. The invention uses an unmanned aerial vehicle to survey the conditions within an irrigated area. The irrigation system includes components to vary the amount of water dispensed within particular areas. The data obtained is used to create an irrigation schedule that the irrigation system then carries out. For example, surveyed areas that contain more moisture may be given relatively less water during the next irrigation cycle. The data obtained may also be used to alter a scheduled delivery of fertilizer, pesticide, or some other substance.

Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes imposing a physical actions via a drone, by an endpoint associated with the drone, based on an activity undertaken by a user. The method includes receiving, by a computing device, an activity message including data indicative of an activity of a user and retrieving at least on rule from a data structure based on the data indicative of the activity where the at least one rule includes a physical action for said activity of the user. The method then includes identifying, by the computing device, the physical action from the at least one rule and transmitting, by the computing device, an order for the physical action to an endpoint, whereby the endpoint commands a drone to perform the physical action.

Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.

An aircraft control device and a remote controller aircraft are disclosed. The aircraft control device includes a first channel configured to receive first control information outputted by a remote controller and transmit the first control information to an aircraft; a second channel configured to receive second control information outputted by the remote controller and transmit the second control information to a camera and/or a gimbal; and a switch unit configured to switch that the first control information is received by the second channel and transmitted to the aircraft when the first channel is disturbed or a distance between the remote controller and the aircraft is larger than a distance threshold. The present invention is able to switch the transmission route of the first control information between the first channel and the second channel in accordance with situations of the first channel and the second channel.

Aspects include a method, system and computer program product for alleviating an episode of a movement disorder condition for a patient. The method comprises deploying an unmanned aerial vehicle (UAV) to a location of a patient based on an occurrence of an episode of a movement disorder condition. A first gross sensory change stimulus is selected with a processor. The first gross sensory change stimulus is projected from the UAV. An attempt to alleviate the episode of the movement disorder condition is performed based at least in part on the projecting of the first gross sensory change stimulus from the UAV. The alleviating of the episode of the movement disorder condition is detected based on the gross sensory change stimulus from the UAV.

Various embodiments of the present technology generally relate to unmanned aerial vehicle (UAV) scale rendered analysis, orthomosaic, and 3D mapping and landing platform systems. More specifically, some embodiments relate to systems, methods, and means for the collection and processing of images captured during a UAV flight sequence. In some embodiments, the UAV landing platform retrieves flight information and initial map information over a unidirectional virtual private network from a multitenant cloud-based scheduling application. The UAV landing platform sends the initial map information to a UAV over a WiFi, Bluetooth, or radio frequency network and initiates a drone flight sequence once the drone flight sequence has been approved by a local user. The UAV landing platform receives property image data from a UAV after a UAV flight sequence has ended and transmits the received property image data back to the cloud application.

A housing for a ground vehicle-mountable aerial vehicle is provided. The housing includes a base portion defining a cavity and an opening leading into the cavity. The cavity is structured to receive an unmanned aerial vehicle therein. The cavity is configured so as to open upwardly when the housing is mounted on the vehicle. The housing also includes a drafting wall structured to extend from the base portion at a location forward of at least a portion of the cavity when the housing is mounted on the ground vehicle.