System and method can support a servo system. The servo system comprises a motor with a rotor and a stator, wherein said rotor is arranged internally to said stator. Furthermore, said rotor, which is rotatable relative to said stator, can be configured to receive at least a portion of a functional module. Additionally, the servo system can be used for supporting a payload stabilization system, such as a gimbal system.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

The present invention provides a fruit harvesting, dilution and/or pruning system comprising: (a) a computerized system for mapping an orchard or a map of trees position and their contour in a plantation; (b) a management system for autonomous unmanned aircraft vehicle (UAV) fleet management for harvesting, diluting or pruning fruits; and a method for UAV autonomous harvesting, dilution and/or pruning of an orchard.

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 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 method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

An aerial vehicle is provided. The aerial vehicle can include a plurality of sensors mounted thereon, an avionics system configured to operate at least a portion of the aerial vehicle, and a machine vision controller in operative communication with the avionics system and the plurality of sensors. The machine vision controller is configured to perform a method. The method includes obtaining sensor data from at least one sensor of the plurality of sensors, determining performance data from the avionic system or an additional sensor of the plurality of sensors, processing the sensor data based on the performance data to compensate for movement of the unmanned aerial vehicle, identifying at least one geographic indicator based on processing the sensor data, and determining a geographic location of the aerial vehicle based on the at least one geographic indicator.

A system, method and device for monitoring an aircraft, including activity taking place within an aircraft and conditions of the aircraft, where one or more a percepting component such as a camera, microphone, or other sensor, is situated at a location within the aircraft from which information may be ascertained. Preferably the component is disguised within the surfaces or instrumentation of the aircraft. The percepting component is connected with a communication mechanism to transmit communications from the system resident within the aircraft to a grounds portion of the system through a communication link, such as a satellite communication link. The system may process the information corresponding with the aircraft condition or activity and generate alerts when a trigger is met or exceeded. The system components on the aircraft may monitor conditions and activity without using or interfering with the aircraft instrumentation, the system using only the aircraft power.