Sz Dji Technology Co., Ltd.

Hon Hai Precision Industry Co., Ltd.

Fu Tai Hua Industry (shenzhen) Co., Ltd.

Scienbizip Consulting(shenzhen)co., Ltd.

Hong-fu Jin Precision Industry (shenzhen) Co., Ltd.

Shenzhen Airdrawing Technology Service Co., Ltd

Msheaf Health Management Technologies Limited

Peng Xie

Chih-Kuang Chang

Xin-Yuan Wu

Tao Zhao

Mingyu Wang

Ming Gong

Zhongqian You

Bingzhen Yang

Xingsen Lin

Naibo Wang

Meng Hu

Xiongbin Rao

Xiaohang Zhong

Jianping Wei

Renqin Deng

Guohao Zhan

Wenyue Chen

Lu Yang

Jun Wu

Wancheng Zhou

Yongsen Chen

Hongtao Wang

Cheng Yi

Ridong Wan

Bixia He

Ling Wang

A method for monitoring an unmanned aerial vehicle (UAV) includes a processor obtaining a datagram based on monitoring data for a UAV-detector communication between the UAV and one or more detectors. The monitoring data indicates at least one of a location of the UAV or a location of a control station in communication with the UAV. The method further includes determining a risk level by retrieving pre-stored risk information associated with the UAV based on the datagram.

Monitoring method and system

A method for monitoring an unmanned aerial vehicle (UAV) includes a processor generating a datagram based on monitoring data for a UAV-detector communication between the UAV and one or more detectors. The monitoring data indicates at least one of a location of the UAV or a location of a control station in communication with the UAV. The method further includes the processor encrypting working data for a UAV-control station communication between the UAV and the control station using an encryption key known to the control station but now known to the one or more detectors, and a transmitter transmitting the datagram along with encrypted working data. The datagram is to be received by the one or more detectors and the encrypted working data is to be received and deciphered by the control station using the encryption key.

A UAV system includes a remote controller including two first antennas and a UAV including two second antennas arranged at two landing stands of the UAV, respectively. The two first antennas and the two second antennas are configured to establish a 2&#xd7;2 MIMO communication link. The remote controller is configured to transmit current terminal position information of the remote controller to the UAV via the 2&#xd7;2 MIMO communication link. The UAV determines current remote controller relative position information of the remote controller relative to the UAV according to the current terminal position information and current UAV position information acquired via a position sensor, and controls communication between the UAV and the remote controller according to the current remote controller relative position information.

Mobile object and antenna automatic alignment method and system thereof

A method and system used to detect characteristic information of internal body tissues applies multiple AC currents of different frequencies simultaneously to a human or animal body. After the modulated voltage signals are received, they are demodulated. Information from both the cardiovascular system and the surrounding tissues is extracted from the carrier waves of specified frequencies. System identification or channel estimation procedures are performed to separate the information from the cardiovascular circulation system and the surrounding tissues. The resistance and capacitance of the cardiovascular system and surrounding tissues are calculated separately. The calculated resistance and capacitance values are used to represent the states of body fluid and cardiovascular circulation. As a result, relevant state information is obtained accurately and reliably to enable accurate measurements of targeted tissues for acquiring health states.

Non-invasive method and system to extract characteristic information of bio-tissues

A secure communication method comprising obtaining a secret code generated in response to a first communication device being paired with a second communication device, obtaining a prestored product key, generating a module key based on the secret code and the product key, randomly generating a session key, obtaining a key sequence number, auto-incrementing the key sequence number, setting a sending sequence number with an initial value of zero, generating a key frame by performing a computation on the session key and a verification authentication code of the session key using the module key, sending a data packet including the key frame, the key sequence number, the sending sequence number, and a data type to the second communication device. The data type indicates that the data packet is a key data packet.

Method and device for secure communication

The present invention provides a method for monitoring an unmanned aerial vehicle (UAV). The method may comprise: generating, with aid of one or more processors, a datagram comprising monitoring data indicating at least one of: a location of the UAV or a location of a control station in communication with the UAV; and transmitting the datagram along with working data for communication between the UAV and the control station such that datagram can be received by the one or more detectors within a range of the UAV.

An antenna automatic alignment method for a rotor unmanned aerial vehicle (UAV) includes acquiring current feature information of a plurality of antennas of the rotor UAV in real time. The antennas are disposed at substantially U-shaped landing gears of the rotor UAV. The method further includes selecting one of the antennas to establish a point-to-point communication link with a remote controller of the rotor UAV in accordance with the current feature information of the plurality of antennas. The antennas include spare antennas and current communication antennas, and a number of the spare antennas equals a number of the current communication antennas.

An antenna automatic alignment method for a mobile object includes acquiring, in real time, current feature information of a plurality of antennas of the mobile object, and selecting one of the antennas to establish a communication link with a wireless terminal in accordance with the current feature information of the plurality of antennas.

A wireless transmission protocol for exchanging data between an unmanned aerial vehicle and a ground terminal is provided. The unmanned aerial vehicle is configured to transit image or video media data while mid-flight. The unmanned aerial vehicle and the ground terminal share a single communications channel using a time division multiple data access protocol. The unmanned aerial vehicle and the ground terminal use different communication protocols to send different types of data signals.

Unmanned aerial vehicle communications methods and systems

A computing device and a method processes a point cloud of an object. The computing device constructs a curved surface according to the point cloud and triangulates the curved surface using a plurality of triangles. The computing device simulates each marked adjacent point and neighborhood points to a predetermined surface using a predetermined algorithm. The computing device projects each marked adjacent point onto a predetermined surface to obtain a projected point according to the type of the marked adjacent point.

Computing device and method for processing point clouds

In a method for simplifying point clouds of an object using a computing device, a point cloud of the object is obtained from a scanning device connected to the computing device, and the point cloud is meshed into triangulated grids. The triangulated grids are selected from the point cloud, and a number of simplification passes to simplify the triangulated grids is received from an input device. The triangulated grids of triangles are classified according to a shape of each grid and a location of each grid in the point cloud. Each type of triangulated grid is simplified to obtain simplified grids by performing a loop triangular grid function with the number of simplification passes. The simplified grids are smoothed and the cloud model of the object can be displayed.

Computing device and method for simplifying point cloud of object

A method for simplifying a mesh point cloud includes following steps: obtaining a point cloud and meshing the point cloud so that the point cloud is formed with a plurality of triangular grids; calculating a distance between a vertex of the triangular grid and its corresponding normal plane to determine an influence of the vertex to a geometric characteristic of the mesh point cloud; deleting the vertexes and the grids in connection therewith in accordance with a predetermined degree of simplification, wherein the deleted vertexes are those which have less influence to the geometric characteristic of the mesh point cloud; creating triangular grids to fill the void part in accordance with Delaunay triangulation; and smoothening the created grids.

System and method for simplifying a mesh point cloud

A computing device simulates a process of processing an object. The computing device calculates a moving space when a minimum bounding box of a model of a blade moves from a position point to an obtained path point. The computing device cuts a triangulated model of the object when the triangulated model of the object intersects the moving space.

Computing device and simulation method for processing an object

In a production accuracy verification method to verify a production program installed in a computer numerical control (CNC) machine, wherein the production program is used to produce a product, coordinates of points on an ideal processing path of the production program are obtained to fit a first curve. A CAD model of the product is obtained, and outlines of the product are extracted in the CAD model. A normal vector of each of the outlines is computed and to be adjusted, making the normal vectors of the outlines pointing to a same direction. First distances between points in the first curve and corresponding points in the second curve are computed, and whether the production program is accurate can be determined by comparing whether each of the first distances is within a first predetermined tolerance.

Device and method for verifying CNC production accuracy

A method for patching up a point cloud comprises obtaining a point cloud and a predetermined interval and a filtering parameter of curvature. Then a void in the point cloud which needs to be patched up is identified. A minimum encasing box is created to enclose the void. Points inside the minimum encasing box and outside the void are selected to create a B-spline curve surface. The B-spline curve surface are interpolated by the predetermined interval to obtain a plurality of discrete points which are used to patch up the void. Messy points in the void according to the predetermined interval and the filtering parameter of curvature are determined and deleted. Positions of the points in the void are adjusted along their normal vector directions to smooth the point cloud.

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Shenzhen, China

Peng Xie