An error identification method for identifying an error includes: securing a calibrator having three or more spheres on the table; measuring an initial position of the calibrator with a position measurement sensor tool; calculating a reference angle of each of the rotation axes for positioning the calibrator to a predetermined reference position using a measured value in the measuring; indexing each of the rotation axes individually to a plurality of indexed angles with respect to the reference angle and measuring a center position of a sphere of the calibrator secured on the table at each of the indexed angles with the position measurement sensor tool; and identifying a positioning error and a straightness error of the linear axis, a squareness error between the respective linear axes, and a position error and an inclination error of each of the rotation axes based on a measured value in the indexing.

An error identification method includes: installing a calibrator including a sphere row A and a sphere row B in which a plurality of spheres are linearly aligned in a direction perpendicular to the sphere row A on a table such that the sphere row A and the sphere row B are approximately parallel to respective two of the translational axes and measuring positions of a plurality of spheres of the sphere row A and the sphere row B using a position measurement sensor tool; rotating the calibrator to a plurality of angles around a normal direction on the upper surface of the table to install on the table and measuring each position of the plurality of spheres of the sphere row A and the sphere row B; and identifying an error of the translational axis based on measured values in the installing and the rotating.

A device includes a first component, a second component having a reconfigurable distance from the first component, an optical element, an SMI sensor, and a processor. The optical element has a fixed relationship with respect to the first component, and has a known optical thickness between a first surface and a second surface of the optical element. The SMI sensor has a fixed relationship with respect to the second component, and has an electromagnetic radiation emission axis that intersects the first and second surfaces of the optical element. The processor is configured to identify disturbances in an SMI signal generated by the SMI sensor, relate the disturbances to the known optical thickness of the optical element, and to determine a distance between the first and second components using the SMI signal and the relationship of the disturbances to the known optical thickness of the optical element.

A method for thermal processing of a workpiece uses a thermal processing machine. The method includes the following steps carried out in an automated manner: setting up the processing machine by producing contact between the processing tool and the workpiece and recording the spatial position of a workpiece surface, positioning the processing tool at a predetermined first and second distance from the workpiece surface and recording the associated signal values of the distance sensor as first and second measured values, and calibrating the distance controller which includes determining a height derivative of the distance sensor signal and an amplification factor for the signal of the distance sensor taking in account the first measured value, the second measured value, the first distance and the second distance; positioning the processing tool at a predetermined working distance from the workpiece surface with the inclusion of the amplification factor; and thermally processing the workpiece.

A method for measuring geometric errors of a numerical control turntable based on a four-station laser tracer system includes: establishing a self-calibration coordinate system and calibrating positions of tracking interferometers; respectively placing each of target lenses at three non-coplanar points that are above the numerical control turntable and keep certain distances from the numerical control turntable, controlling the numerical control turntable to rotate at a certain angular interval θ.sub.j, and based on positions of the tracking interferometers being known after calibration, solving coordinates of each of measurement points in the self-calibration coordinate system using a non-linear least square method; establishing a turntable coordinate system; perform a conversion between the turntable coordinate system and the self-calibration coordinate system; separating six geometric errors of the numerical control turntable using spatial position errors of the three points at a same position and using the linear least squares method.

A novel multiple camera calibration algorithm uses human joint points for matched key points. A recent machine-learning based human joint detector provides joint positions with labels (e.g. left wrist, right knee, and others). In single person situation, it directly provides matched key points between multiple cameras. Thus, the algorithm does not suffer a key-point matching problem, even in a very sparse camera configuration, which is challenging in the traditional image feature-based method. This algorithm provides easy setup for a multiple camera configuration for marker-less pose estimation.

A method of measuring the value of a machine tool's performance based upon tangible results. The method specifies the core principles of defining a machine tool part setup consisting of a plane, orientation, and origin. By establishing the plane, orientation, and origin measuring programs and cutting toolpaths are recorded with precision. Machine tool results of positioning, squareness, parallelism, and circularity are revealed upon establishing the proper machine tool setup. Using the method displays the quality of a machine tool which defines its value in the marketplace.

A method for calibrating parameters includes a measurement step that obtains measurement data by scanning a defined surface; a correction step that obtains corrected data by correcting the measurement data based on the parameters; a determination step that calculates a roundness of the corrected data and determines whether the calculated roundness is equal to or less than a predetermined value; and an adjustment step that increases or reduces at least one of the parameters when the roundness is determined to be greater than the predetermined value, and the correction step, the determination step, and the adjustment step are repeated until the roundness is determined to be equal to or less than the predetermined value.

A system for calibrating a deformable sensor is provided. The system includes a deformable sensor including a housing, a deformable membrane coupled to an upper portion of the housing, and an enclosure defined by the housing and the deformable member; an imaging sensor configured to capture an image of the deformable membrane of the deformable sensor; and a controller. The enclosure is configured to be filled with a medium. The controller is configured to: receive the image of the deformable membrane of the deformable sensor; determine whether a contour of the deformable membrane in the image of the deformable membrane of the deformable sensor corresponds to a predetermined contour; and adjust a volume of the medium in the enclosure of the deformable sensor in response to the determination that the contour of the deformable membrane is different from the predetermined contour.

A position measurement method is used by a device including an imaging unit and a position detector that detects a position of the imaging unit to measure, using a detection value at imaging of a measurement point, position coordinates of the measurement point. The method for correcting the detection value from the position detector includes obtaining, with the device, position coordinates of predetermined indices (22) arranged two-dimensionally on a calibration plate (20) as an actual measurement value, obtaining, as a correction value, a difference between the actual measurement value and a true value resulting from transformation of position coordinates of the indices (22) with respect to a reference point on the calibration plate (20), and correcting the detection value from the position detector (8, 9, 10). The imaging unit (3) images measurement points (P) on the measurement target (3) to measure position coordinates of the measurement points (P).