An unmanned flight equipment according to an embodiment of the present invention includes: an aerial vehicle capable of flying in an unmanned manner; an abnormality recognition part-configured to recognize an abnormal situation in which a determination is made that it is difficult for the aerial vehicle to continue flight; and an alarm device held on the aerial vehicle and configured to be detached from the aerial vehicle and to warn neighborhood of abnormality when the abnormality recognition part recognizes the abnormal situation.

An unmanned flight equipment according to an embodiment of the present invention includes: an aerial vehicle capable of flying in an unmanned manner; an abnormality recognition part-configured to recognize an abnormal situation in which a determination is made that it is difficult for the aerial vehicle to continue flight; and an alarm device held on the aerial vehicle and configured to be detached from the aerial vehicle and to warn neighborhood of abnormality when the abnormality recognition part recognizes the abnormal situation.

A non-invasive microwave measuring device (01) is for calculating the flow rate of a fluid. The device (01) includes a non-invasive microwave fluid velocity measuring device (03) having a patch antenna or horn antenna to generate a microwave signal (14) that is transmitted at a specific elevation angle α towards the fluid surface (16) and to receive the reflected microwave signal (15) from the fluid surface (16) with a doppler shift frequency. The measuring device (03) is suspended from a drone (02) by a suspension system (04). The suspension system (04) eliminates vibration noise generated by the drone (02). At least one vibration sensor eliminates false velocity readings. At least one angle sensor compensates for Pitch, Roll and Yaw from the drone (02) that influence the fluid surface velocity measurement.

The present invention relates to a method for calibrating an altitude sensing stereo vision device (122) of an unmanned aerial vehicle (100), wherein the method includes: arranging the unmanned aerial vehicle to take off from ground (G) and ascend; deriving at least one first altitude value (10a-15a) from the stereo vision device and obtaining at least one corresponding second altitude value (10b-15b) from another device (123) of the unmanned aerial vehicle during the ascent (1) of the unmanned aerial vehicle; recording the derived at least one first altitude value and the obtained at least one corresponding second altitude value as calibration data; deriving an additional first altitude value from the stereo vision device while the unmanned aerial vehicle flies a route; and adjusting the derived additional first altitude value based on the recorded calibration data.

The present invention relates to a method for calibrating an altitude sensing stereo vision device (122) of an unmanned aerial vehicle (100), wherein the method includes: arranging the unmanned aerial vehicle to take off from ground (G) and ascend; deriving at least one first altitude value (10a-15a) from the stereo vision device and obtaining at least one corresponding second altitude value (10b-15b) from another device (123) of the unmanned aerial vehicle during the ascent (1) of the unmanned aerial vehicle; recording the derived at least one first altitude value and the obtained at least one corresponding second altitude value as calibration data; deriving an additional first altitude value from the stereo vision device while the unmanned aerial vehicle flies a route; and adjusting the derived additional first altitude value based on the recorded calibration data.

Disclosed is an elevator inspection system, having: a sensor implement; a robotic platform supporting the sensor, the robotic platform configured to inspect a hoistway; a controller operationally connected to the robotic platform and the sensor, wherein the controller is configured to define hoistway model data for the hoistway, from sensor data, corresponding to locations and shape boundaries of the hoistway and doorway openings formed in the hoistway.

Disclosed is an elevator inspection system, having: a sensor implement; a robotic platform supporting the sensor, the robotic platform configured to inspect a hoistway; a controller operationally connected to the robotic platform and the sensor, wherein the controller is configured to define hoistway model data for the hoistway, from sensor data, corresponding to locations and shape boundaries of the hoistway and doorway openings formed in the hoistway.

The present disclosure relates to a maritime communication system based on low earth orbit satellites and an unmanned aerial vehicle. The maritime communication system according to one embodiment may include one or more maritime users, one or more satellites connected to a network operator, and an unmanned aerial vehicle (UAV) for relaying communication between the maritime users and the satellites.

A modular flat-packable drone kit includes a plurality of components that can be assembled into a drone. Components of the drone kit include elements that may be cut from a flat sheet of material, thereby enabling low cost manufacturing and compact packaging and may be assembled without specialized tools. A set of drones may operate in a standalone mode or may be coupled together and operated in a group configuration.

A modular flat-packable drone kit includes a plurality of components that can be assembled into a drone. Components of the drone kit include elements that may be cut from a flat sheet of material, thereby enabling low cost manufacturing and compact packaging and may be assembled without specialized tools. A set of drones may operate in a standalone mode or may be coupled together and operated in a group configuration.