Provided is a control method of a drone with a multiple DOF flight mode according to the present invention. The drone may include a fuselage in which a battery is mounted and a forward direction is set in an x-axis, a plurality of rotors disposed about the fuselage in four or more, each rotational axis of which is aligned in a z-axis direction, an x-axis tilting mechanism unit formed to tilt the plurality of rotors about an axis parallel to the x-axis, a y-axis tilting mechanism unit formed to tilt the plurality of rotors about an axis parallel to the y-axis, a first drive motor unit driving the y-axis tilting mechanism unit, a second drive motor unit guiding the x-axis tilting mechanism unit, and a control unit configured to implement a plurality of flight modes by controlling the first rotor, the second rotor, the third rotor, the fourth rotor, the first drive motor unit, and the second drive motor unit.

An imaging system includes: an unmanned flight vehicle; an imager that is mounted on the unmanned flight vehicle and takes an image of a robot which performs work with respect to a target object; a display structure which is located away from the unmanned flight vehicle and displays the image taken by the imager to a user who manipulates the robot; and circuitry which controls operations of the imager and the unmanned flight vehicle. The circuitry acquires operation related information that is information related to an operation of the robot. The circuitry moves the unmanned flight vehicle such that a position and direction of the imager are changed so as to correspond to the operation related information.

An imaging system includes: an unmanned flight vehicle; an imager that is mounted on the unmanned flight vehicle and takes an image of a robot which performs work with respect to a target object; a display structure which is located away from the unmanned flight vehicle and displays the image taken by the imager to a user who manipulates the robot; and circuitry which controls operations of the imager and the unmanned flight vehicle. The circuitry acquires operation related information that is information related to an operation of the robot. The circuitry moves the unmanned flight vehicle such that a position and direction of the imager are changed so as to correspond to the operation related information.

An aerial reconnaissance drone having a dragonfly format (elongate fuselage and flapping wings) with two cameras having respective diagonal fields of view, arranged at respective ends of the fuselage, both pointing forwards, wherein the second camera has a diagonal fielder of view that is at most half that of the first camera. This has the advantage of providing a drone that can capture enhanced imagery when required, by performing a half turn and switching which camera is being used. Since this avoids placing two cameras in the same location both can have a clear view of surroundings yet it helps avoid off balance caused by placing too much mass in any particular off-centre location.

An aerial reconnaissance drone having a dragonfly format (elongate fuselage and flapping wings) with two cameras having respective diagonal fields of view, arranged at respective ends of the fuselage, both pointing forwards, wherein the second camera has a diagonal fielder of view that is at most half that of the first camera. This has the advantage of providing a drone that can capture enhanced imagery when required, by performing a half turn and switching which camera is being used. Since this avoids placing two cameras in the same location both can have a clear view of surroundings yet it helps avoid off balance caused by placing too much mass in any particular off-centre location.

A remote health care apparatus is disclosed that incorporates a drone device and a health kit. The drone device includes one or more communication devices, and the drone device is capable of two-way auditory and visual communication. The health kit is capable of being transported by the drone device and can be detached from the drone device. In one embodiment, the health kit contains one or more medical devices selected from the group consisting of biometric measuring devices, specimen collection devices and lab testing tools.

A remote health care apparatus is disclosed that incorporates a drone device and a health kit. The drone device includes one or more communication devices, and the drone device is capable of two-way auditory and visual communication. The health kit is capable of being transported by the drone device and can be detached from the drone device. In one embodiment, the health kit contains one or more medical devices selected from the group consisting of biometric measuring devices, specimen collection devices and lab testing tools.

A flight-capable imaging system includes a set of parallel rails, a power source mounted to the set of parallel rails, an imaging device mounted to the set of parallel rails, an aerial vehicle body mounted to the set of parallel rails, a set of aerial vehicle arms attached to the aerial vehicle body that each include a set of propellers and a motor configured to turn the set of propellers to enable flight of the flight-capable imaging system, and at least one processing module configured to control the flight of the of the flight-capable imaging system based on controlling a motor speed of the motor of each of the set of aerial vehicle arms.

A position estimation method for a tracking target is implemented in an unmanned aerial vehicle. The position estimation method include: estimating a target position of the tracking target at the next time according to an initial position of the tracking target at the current moment; determining an estimated width and an estimated height of the tracking target in an image captured by a pan-tilt-zoom camera of the unmanned aerial vehicle according to the estimated target position; obtaining an actual width and an actual height of the tracking target in the image; determining a height difference between the estimated width and the estimated height and a width difference between the actual height and the actual width; and updating the target position of the tracking target at the next time according to the height difference and the width difference.

A position estimation method for a tracking target is implemented in an unmanned aerial vehicle. The position estimation method include: estimating a target position of the tracking target at the next time according to an initial position of the tracking target at the current moment; determining an estimated width and an estimated height of the tracking target in an image captured by a pan-tilt-zoom camera of the unmanned aerial vehicle according to the estimated target position; obtaining an actual width and an actual height of the tracking target in the image; determining a height difference between the estimated width and the estimated height and a width difference between the actual height and the actual width; and updating the target position of the tracking target at the next time according to the height difference and the width difference.