A multicopter includes: a support; rotors supported by the support; an electrical equipment that supplies power for rotationally driving the rotors; a circuitly that controls a flight of an airframe by individually adjusting a rotor speed of each of the rotors; and a cooling unit that cools the electrical equipment. The cooling unit includes a heat exchanger, a refrigerant circulating through the heat exchanger and the electrical equipment, and a pump that circulates the refrigerant.

An experimental bench for an unmanned aerial vehicle (UAV) power system and avionics equipment, which relates to the technical field of UAV test, comprising a support component, a power system load-bearing component, an avionics equipment load-bearing component, a jacking component and a roller component. A plurality of power system load-bearing components are provided, and are fixedly arranged on the support components, respectively, and each power system load-bearing component is configured to carry the power system of a UAV; the avionics equipment load-bearing component is fixedly arranged on the support component, and the avionics equipment load-bearing component is configured to bear the avionics equipment of the UAV; the output end of the jacking component is fixedly connected to the bottom end of the support component.

A flight plan generation device for generating a flight plan of a flight device that transmits a captured image captured by an imaging unit through wireless communication during flight includes a first acquisition unit configured to acquire target information for specifying an imaging target to be imaged by the imaging unit during flight of the flight device and image quality information for specifying required image quality of a captured image of the imaging target, a second acquisition unit configured to acquire communication quality information on wireless communication quality in a predetermined area including at least a flight airspace of the flight device, and a flight plan generation unit configured to generate a flight plan including a flight path of the flight device and an imaging parameter of the imaging unit based on the acquired target information, image quality information, and communication quality information.

Unmanned aerial vehicles including wing capture devices and related methods are disclosed. An example unmanned aerial vehicle includes a fuselage and a wing assembly, the wing assembly including a shoulder coupled to the fuselage, the shoulder including a joint, the joint distal to the fuselage, a wing coupled to the joint, and a hook, the hook coupled to the shoulder, the hook including a groove to receive a cable to arrest flight of the unmanned aerial vehicle.

A wireless power receiver coil is attached to a landing gear of a drone. The wireless power receiver coil is closer to the drone when the landing gear is in a retracted position and farther away from the drone when the landing gear is in an extended position. A length of the wireless power receiver coil may be the same length when the landing gear is in the retracted position and in the extended position. The wireless power receiver coil may be in a first orientation when the landing gear is in the retracted position and the wireless power receiver coil may be in a different orientation when the landing gear is in the extended position. The wireless power receiver coil may have a first shape when the landing gear is in the retracted position and may have a second shape when the landing gear is in the extended position.

Presented herein are embodiments of signal detection and location finding directed to a “Signature Detector and Direction Finder” (SDDF) add-on module. The SDDF is an add-on module to any Signal Detection System (SDS) that detects, locates, and/or tracks any type(s) of Radio Frequency (RF) signals. Even though the presented embodiments can be used with any RF signal type, the preferred targets are Uncrewed Aerial Vehicles (UAV) or drones, and their controllers. A goal of the SDDF add-on module is to recognize the reported signal of interest and identify its direction. The machine-learning feature enables the system (i.e. SDDF add-on module with SDS) to be deployable in various environments with flexibility in choosing the antenna type(s). The Signature Detector component of the SDDF add-on module uniquely filters drone/controller signals, hence, more accurate direction estimation of the detected signal by SDDF add-on module.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can receive sensor data associated with an object in a particular airspace from one or more radio frequency sensors. The tracking system can analyze the sensor data relating to the object to identify a type of RF signal being used by the object. A portable countermeasure device can generate one or more disruption signals on one or more targeted bands of spectrum based on the type of RF signal being used by the object.

A delivery system and a method of delivering articles are provided. The system has a secure box having a planar top wall and a cylindrical sidewall, and a reclosable opening in the top wall, at least one reclosable opening in the sidewall. The system is configured to open the top wall opening for receiving an article into the secure box and for closing and locking the top wall opening, upon the article being received in the secure box. A round conveyor having at least two partitions and is configured and disposed to hold the article and to rotate and dispose the article proximate the sidewall opening for a recipient of the article.

An unmanned aerial vehicle (UAV) includes a flexible holder retaining a plurality of probes. The flexible holder is deformable to arrange the probes around a portion of a structure, allowing the probes to scan the portion of the structure. At least one of the plurality of probes is an ultrasonic test (UT) probe to scan the portion of the structure with ultrasonic waves.

An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to analyze data obtained from the mobile device and other devices connected to the software platform. Specifically, the software platform is operable to determine if an access key received, read, or captured by a mobile device matches an access key for an authorized account, object, device, or space for the mobile device, and to provide access to the mobile device if the access key received, read, or captured by the mobile device matches the authorized access key.