Abstract: The present disclosure provides a system and a method for analyzing graphical data of an object. The system is implemented on a computing device linked to a database. The system receives a point cloud file corresponding to the object from the database, extracts point cloud data from the point cloud file, and meshes point cloud data to generate coordinate data corresponding to vertices for a plurality of meshed triangles. The system calculates distances between each of the meshed triangles and a fitting plane and a normal vector for each meshed triangle. The system calculates an included angle between the normal vector of each meshed triangle and a normal vector of the fitting plane to determine the accuracy of the point cloud data patches, and generates a report containing an accuracy analysis of the point cloud data for the object and a point cloud statistical analysis report.

Abstract: A computing device and a method analyze thickness of an object. The computing device obtains a point cloud of an object from a scanner coupled to the computing device. The computing device triangulates the point cloud of the object using a plurality of triangles. The computing device obtains thickness information of the object according to the triangulated point cloud of the object and generates a report according to the thickness information of the object.

Abstract: A computing device and a method detect a lightness of a lighting device. The computing device captures an image of the lighting device and parses the image to obtain a pixel gray value of each lighting dot of the lighting device. The computing device obtains detection information of the lighting device according to the pixel gray value of each lighting dot of the lighting device. The computing device generates a detection report of the lighting device according to the detection information of the lighting device.

Abstract: 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.

Abstract: A point cloud data processing system permitting free-form data selection of the cloud data includes an image forming module, a coordinate conversion module, a selection module, and a determination module. The image forming module graphs a three-dimensional image of the point cloud file. The coordinate conversion module transforms the three-dimensional image into a planar image. The selection module performs a polygon-shaped selection operation and shows a polygon-shaped region based a point cloud area selected in such a manner that the polygon-shaped region circumscribes the point cloud area selected. The determination module graphs a bounding box based on the outline of the polygon-shaped region, and determines whether graphical points lie inside both the bounding box and the polygon-shaped region. Graphical points that lie within both are further marked with color or other marking process, and graphical points which are not within both can be deleted or edited.

Abstract: 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.

Abstract: A point cloud processing method is provided. The method includes: depicting, at a computing device, a three-dimensional image based on a point cloud data set; converting, at the computing device, the three-dimensional image to a two-dimensional image; dragging, at the computing device, a brush to form a coverage are; determining, at the computing device, whether a point is within the coverage area by comparing coordinates of each point in the two-dimensional image with coordinates of area boundary of the coverage area; and painting, at the computing device, the point within the coverage area to specific color.

Abstract: A method calculates an area of an outline of an object using a computing device. The object is placed on a platform of the measurement machine connected to the computing device. The computing device obtains outline points of the object from an image of the object captured by the measurement machine. The computing device triangulates the outline points of the object using multiple triangles and generates an outline of the object. The computing device calculates the area of the outline of the object according to an area of each triangle.

Abstract: An electronic device including a processing unit and a storage device receives a point cloud, and converts the point cloud into a mesh model including a first surface and a second surface engaged with the first surface. Then, the processing unit determines a plurality of first boundary points on the first surface, generates a plurality of first projection points for the plurality of first boundary points on the second surface, and generates a first fixed area based on the plurality of first projection points. The processing unit divides the first fixed area into a plurality of first sub-areas and adds a first additional point into each of the plurality of first sub-areas.

Abstract: A computing device and a method process point clouds of an object. The computing device controls a rotating device connected to the computing device to rotate to one or more rotation angles of the rotating device. The computing device generates a first coordinate system and one or more second coordinate systems according to one or more rotation angles of the rotating device, and obtains a point cloud of an object based on each of the second coordinate systems from a scanner of the rotating device. The computing device converts the point cloud of the object based on each of the second coordinate systems to a point cloud of the object based on the first coordinate system, and joints all point clouds of the object based on the first coordinate system.

Abstract: 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.

Abstract: A method for machining a surface of a workpiece includes setting a plane of the workpiece as an XY plane, aligning an axis of a machining tool to be within a predetermined angle with a normal vector of the XY plane, calculating a reference plane of the surface of the workpiece, defining a plurality of rectangular sections of the surface of the workpiece, defining a continuous machining path from a start point of a first rectangular section to an end point of a last rectangular section, calculating a center point of a plurality of planes of each rectangular section, and adjusting a Z-coordinate position of the machining tool according to a Z-coordinate difference between each of the plurality of planes and the reference plane. The Z-coordinate position of the machining tool is adjusted while the machining tool machines the surface of the workpiece along the continuous machining path.

Abstract: A method for applying accuracy compensation to a computer numerically controlled (CNC) machine can compensate control program that controls the CNC machine. The method recognizes an actual outline of the product using an image of product produced by the CNC machine controlled by the control program, and further obtains an ideal outline of the product. The method obtains compensation values by computing coordinate differences between points of the actual outline and points on the ideal outline, and compensates the control program using the compensation values.

Abstract: Method of pairing accessories includes obtaining coordinates of outline points of first accessories and second accessories of a product. The outline points of the first accessories and the second accessories are assigned numbers. Each of the first accessories and each of the second accessories are transported to a corresponding location according to the assigned numbers. A second accessory is determined to pair with each of the first accessories according to the coordinates of the outline points of the first accessories and the second accessories. Paired first and second accessories are transported from corresponding locations into a first box for assembly, and unpaired first and second accessories are transported into a second box by a the transport system.

Abstract: A method processes measurement data of an object using a computing device. The method obtains measurement data of preselected feature elements of a measured object, inserts the measurement data of the preselected feature elements into a data list, obtains measured results of the preselected feature elements from a measurement tool, and calculates tolerance values of the preselected feature elements according to the measured results. The method further searches pixel icons of the preselected feature elements according to tolerance values and the measured results, inserts the pixel icons and the measured results into the data list, receives selections of a user and displays the data list in different list modes.

Abstract: A computing device is connected to a measurement machine. The measurement machine measures an object to obtain images of measured elements of the object by using a measurement program. The computing device divides the measurement program into two or more program segments. An icon for each program segment is generated according to a type of the program segment. The computing device generates a title state and an opened state for each program segment. If a program segment is in the title state, the icon, a name, and a first line of program codes of the program segment is displayed on an interface provided by the electronic device. If the program segment is in the opened state, the computing device displays all program codes of the program segment on the interface.

Abstract: A computing device is connected to a measurement device including a projector, a left camera and a right camera. The projector is controlled to project gratings with a number M of frequencies on an object. The left camera captures a number N of left grating images, and the right camera captures a number N of right grating images of the gratings with each of the frequencies. A luminous intensity of each pixel in each of the left grating images and the right grating images is computed. According to the luminous intensity of each pixel in each of the left grating images, a first phase grayscale image is obtained. According to the luminous intensity of each pixel in each of the right grating images, a second phase grayscale image is obtained. A matched image is obtained by matching the first phase grayscale image and the second phase grayscale image.

Abstract: In a method for generating a measurement program of a product, a CAD file of the product is read and attribute data of the product is obtained from the CAD file. By creating a mesh over the attribute data of the product using a plurality of triangles, the method obtains coordinate information of measuring points of the product from the CAD file, arranges the measuring points of the product into one or more geometrical elements using a curve fitting method, and obtains measuring information of each geometrical element. By integrating the measuring information of each of the one or more geometrical elements into a predefined program model, a measurement program can be generated and displayed on a display device.

Abstract: In a method for simulating a three-dimensional (3D) model of a workpiece using an electronic device, the method meshes a 3D model using triangles, and outputs a first sequence of triangles of the 3D model. The method further normalizes vertexes of each of the triangles in the first triangle sequence, and obtains a meshed model of the workpiece. A 2D image of the workpiece is divided and a second sequence of triangles of the divided 2D image is obtained. The method further traverses the second sequence of triangles and obtains a pixel set and vertex coordinates of each of the triangles in the second sequence, and electronically pastes each of the triangles in the second sequence to a corresponding position in the meshed 3D model. The pasted 3D model is displayed on a display device.