Abstract: In a focus identification method for identifying different focuses of an object, discrete image data is acquired from captured images of an object. The images are captured by a charge coupled device (CCD) in motion of a measurement machine at a predetermined time period. The discrete image data includes definitions of the images and Z-coordinates of the CCD when capturing the images. Maxima and minima of the discrete image data are computed to establish intervals within the discrete image data. The intervals are selected one by one, and a curve is fitted according to the discrete image data at the selected interval. A peak value of the fitted curve is computed as one of focuses of the object when a goodness of fit of the fitted curve meets a predetermined criterion.

Abstract: A measurement machine includes an optical lens and a spectral confocal sensor. An electronic device adjusts a zoom ratio of the lens to be a maximum ratio, and calculates X, Y, Z coordinate differences between the lens center and the sensor center. The electronic device calibrates the X, Y coordinate differences at least twice, to obtain calibrated X, Y coordinate differences. The X, Y differences are replaced by the calibrated X, Y coordinate differences when the calibrated X, Y coordinate differences satisfy first predetermined requirements. The electronic device further calibrates the Z coordinate difference at least twice to obtain a calibrated Z coordinate difference. The Z coordinate difference is replaced by the calibrated Z coordinate difference when the calibrated Z coordinate difference satisfies second predetermined requirements.

Abstract: A scanner obtains point-cloud data of adjoining parts of a product. A computing device reads two point-clouds from the point-cloud data, fits two or more lines according to the two point-clouds, selects two lines that have the same ascending direction from the two or more lines, and creates a two-dimensional coordinates system base on the two selected lines. The computing device determines a highest point in each of the two point-clouds based on distances from each point in either of the point-clouds to a corresponding selected line, and determines two nearest points in the two point-clouds. A difference between Y coordinates of the two highest points is determined as a gap-height of two adjoining parts of the product, and a difference between X coordinates of the two nearest points is determined as a gap-width between two adjoining parts.

Abstract: A computing device reads an entire image of an object. The entire image is spliced by a plurality of part images. A user selects an area on the entire image. The computing device determines a first number of first pixel points between a center point of the selected area and a center point of each covered image. The converted images are part images that the selected area covers. The coordinate values of the center point of the selected area are calculated according to the first number of pixel points and a size of each pixel point of the entire image. The computing device calculates coordinate values of each point of a selected area according to the size of each pixel point and the coordinate values of the center point of the selected area.

Abstract: In a method to measure widths of measured parts placed on a platform, a computing device connects to one or more charge coupled device (CCD) cameras. The method controls each of the CCD cameras to capture a digital image from a measured part that is placed near the CCD cameras, obtains the digital image of the measured part from each of the CCD cameras in a predefined order, and obtains a binary expression from the digital image of the measured part. When the measured part is placed in a correct position on the platform, the method further obtains three points from an upper boundary of the measured part in the binary expression and another three points from a lower boundary of the measured part in the binary expression, and calculates width of the measured part according to the obtained six points.

Abstract: In a method for determining ricochet vectors of a probe of a coordinate measuring machine (CMM) using a computing device, the computing device sets an approach distance between the probe and a manufactured object. Coordinates of a center of the probe and an initial vector of the probe for each measurement point of the manufactured object are obtained when the probe is manually operated to measure the manufactured object. A measurement element of the manufactured object is fit according to all measurement points of the manufactured object. For each measurement point, an approach point of the manufactured object is calculated, a position relation between the approach point and the measurement element of the manufactured object is determined, and a ricochet vector of the probe is calculated according to the position relation.

Abstract: In a method for processing a point cloud using a computing device, a straight line fitted by the point cloud comprising border points is determined as a benchmark line. An inflection point in the point cloud of the benchmark line is determined. If the vertical distance of the inflection point is not greater than the preset filtration value, needless border points in the point cloud are deleted and a remainder point cloud is obtained. If the vertical distance between the inflection point and the benchmark line is greater than a filtration value, the point cloud is divided into two sub-point clouds, and the one sub-point cloud having border points less than the preset number is deleted, and the other sub-point cloud is set as a remainder point cloud.

Abstract: A measuring device and method is used to select focusing points on an object. A CCD of the measuring device is positioned at the top of an initial focusing range, then moves to the bottom of the initial focusing range at a first speed to capture first images of the object. Image points corresponding to each focusing point in the first images are identified to compute coordinates of a first focal point of each focusing point. The initial focusing range is updated according to Z-coordinates of the first focal points. The CCD is positioned at the bottom of the updated focusing range, then, moves to the top of the updated focusing range at a second speed to capture second images of the object. Image points corresponding to each focusing point in the second images are identified to compute coordinates of a second focal point of each focusing point.

Abstract: An image measuring system includes an interface module, an automatic measuring module, and an outputting module. The interface module is configured to display an image of a workpiece. The automatic measuring module finds features on the image of the workpiece, constructs a coordinate system according to the searched features, and measures a distance from each point on the workpiece to the constructed coordinate system. The outputting module compares the distance with a predetermined tolerance range and outputs the distance and a compared result to the interface module.

Abstract: A computing device is electronically connected to a measurement machine and a controller. The controller is connected to a sensor installed on the measurement machine. The computing device receives spectral signal data sent from the controller and generates an intensity distribution diagram according to the spectral signal data. Furthermore, the computing device sends control commands to the measurement machine, to adjust a position of the sensor on the measurement machine according to variation of a peak value of a wave in the intensity distribution diagram.

Abstract: In an electronic device, an image point A on an image of an object is selected. A spectral confocal sensor is controlled to move to a position above a measuring point A? on the object, where the measuring point A? corresponds to the image point A, and a Z-coordinate of the measuring point A? is computed using the spectral confocal sensor. A focal position of the measuring point A? is computed according to the Z-coordinate of the measuring point A?, and a CCD lens is controlled to move to the focal position. The Z-coordinate of the measuring point A? is stored into a storage unit of the electronic device.

Abstract: In a focus identification method for identifying different focuses of an object, discrete image data is acquired from captured images of an object. The images are captured by a charge coupled device (CCD) in motion of a measurement machine at a predetermined time period. The discrete image data includes definitions of the images and Z-coordinates of the CCD when capturing the images. Maxima and minima of the discrete image data are computed to establish intervals within the discrete image data. The intervals are selected one by one, and a curve is fitted according to the discrete image data at the selected interval. A peak value of the fitted curve is computed as one of focuses of the object when a goodness of fit of the fitted curve meets a predetermined criterion.

Abstract: In a method for checking installation positions of probes of a star prober using a coordinate measurement device, the star prober is fixed vertically on a platform and supported by a movable arm, and a standard ball placed on the platform. The first probe measures a first point on a top surface of the standard ball, and the second probe measures a second point on the top surface of the standard ball. An X-Y coordinate system based on the first and second points is established, and a value of any deviation angle between the first probe and the second probe is calculated based on the X-Y coordinate system. The information is displayed for indicating whether the installations of the first and second probes are precise or not according to any deviation value, and the respective installations of the other individual probes are checked against the X-Y coordinate system.

Abstract: A computing device is electronically connected to a measurement machine and a controller. The controller is connected to a sensor installed on the measurement machine. The computing device receives spectral signal data sent from the controller and generates an intensity distribution diagram according to the spectral signal data. Furthermore, the computing device sends control commands to the measurement machine, to adjust a position of the sensor on the measurement machine according to variation of a peak value of a wave in the intensity distribution diagram.

Abstract: A computing device connects with a vision measuring machine (VMS). Then the computing device generates a one time password (OTP). A size of the OTP, the OTP are stored in a predefined file. The computing device obtains a size of measurement program codes of the VMS. The size of the OTP and the size of the measurement program codes are stored in the predefined file. The measurement program codes are encrypted by the OTP. If the measurement data includes image data of an object which is measured by the VMS, the computing device stores the encrypted program codes, a type of the image data, image data, and a size of the image data in the predefined file.

Abstract: A measurement machine includes an optical lens and a spectral confocal sensor. An electronic device adjusts a zoom ratio of the lens to be a maximum ratio, and calculates X, Y, Z coordinate differences between the lens center and the sensor center. The electronic device calibrates the X, Y coordinate differences at least twice, to obtain calibrated X, Y coordinate differences. The X, Y differences are replaced by the calibrated X, Y coordinate differences when the calibrated X, Y coordinate differences satisfy first predetermined requirements. The electronic device further calibrates the Z coordinate difference at least twice to obtain a calibrated Z coordinate difference. The Z coordinate difference is replaced by the calibrated Z coordinate difference when the calibrated Z coordinate difference satisfies second predetermined requirements.

Abstract: A method controls probe measurement using an electronic device. The method receives user-defined identification data of a probe if a preset configuration file is not stored in a storage device of the electronic device, and fits a three dimensional (3D) model of the probe according to the user-defined identification data of the probe. The method further updates the user-defined identification data of the probe if the fitted 3D model does not match the probe, or stores the user-defined identification data of the probe in a user-defined configuration file if the fitted 3D model matches the probe, and controls the probe to execute measurement according to the user-defined configuration file.

Abstract: In a precision testing method of an optical lens using a computing device, the computing device is connected to an imaging system. The computing device controls the imaging system to generate an image of an object according to light rays reflected from the object and collected by the optical lens. A dimension of the object is measured from the image. A maximum value and a minimum value of the dimension of the object are determined. A difference between the maximum value and the minimum value is calculated. According to the difference, it is determined whether the optical lens agrees with a precision requirement.

Abstract: In a method for processing a point cloud using a computing device, a straight line fitted by the point cloud comprising border points is determined as a benchmark line. An inflection point in the point cloud of the benchmark line is determined. If the vertical distance of the inflection point is not greater than the preset filtration value, needless border points in the point cloud are deleted and a remainder point cloud is obtained. If the vertical distance between the inflection point and the benchmark line is greater than a filtration value, the point cloud is divided into two sub-point clouds, and the one sub-point cloud having border points less than the preset number is deleted, and the other sub-point cloud is set as a remainder point cloud.