A method that quantifies the surface flatness of 3D point cloud data in which a test statistic is proposed to indicate the surface flatness based on the threshold of the allowed bump level, the confidence level of test statistics and data density. The method comprises steps of converting the LIDAR measured points to coordinates along the axes using the principal component analysis (PCA) technique; calculating a Z.sub.α value based on the coordinates and predetermined bump tolerance: comparing the Z.sub.α value with a Z score of a test statistic to perform a null hypothesis; and rejecting the null hypothesis when the Z.sub.α value is greater than the Z score.

A method for checking a connection region formed during a joining process of at least two metal components via a laser. The method includes producing a photographic recording of the connection region being formed, transforming the photographic recording, creating at least two image strips in the photographic recording, and assessing the at least two image strips. An apparatus for carrying out the method is further provided.

An analysis apparatus includes an acquisition part that acquires a plurality of interference images of the object to be measured from the interference measurement apparatus, a calculation part that calculates a sine wave component and a cosine wave component of an interference signal for each pixel in the plurality of interference images, respectively, an error detection part that detects an error between a first Lissajous figure constructed on the basis of the sine wave component and the cosine wave component for each pixel and an ideal second Lissajous figure, a correction part that corrects the sine wave component and the cosine wave component for each pixel on the basis of the error, and a geometry calculation part that calculates surface geometry of the object to be measured on the basis of the corrected sine wave component and cosine wave component.

A refractory metal core (RMC) finishing method according to an exemplary aspect of the present disclosure includes, among other things, performing a plurality of finishing operations on a plurality of RMC samples, analyzing one or more properties of at least a portion of the plurality of RMC samples and selecting a combination of finishing operations for generating an RMC having desirable properties for manufacturing a part free from defects.

An identification apparatus includes a plurality of light collection optical systems configured to collect scattered light from a plurality of test substances, a spectroscopic element configured to disperse a plurality of light beams from the plurality of light collection optical systems, an imaging unit including a plurality of light receiving elements arrayed in a row direction and a column direction, and configured to receive a plurality of dispersion spectra projected from the spectroscopic element and projected in the row direction, an acquisition unit configured to acquire spectroscopic information of at least any of the plurality of test substances based on an output signal from the imaging unit, and an intensification processing unit configured to perform row direction binning processing including integrating output signals of the plurality of light receiving elements existing at different positions in the row direction.

Disclosed in embodiments of the present disclosure is a system for controlling a laser projector, a laser projector assembly, a terminal, a method for controlling a laser projector, a method for controlling a laser light output, a device for controlling a laser light output and a computer readable storage medium. The system includes a first drive circuit coupled to the laser projector. The first drive circuit is configured to output an electrical signal to drive the laser projector to project laser light and to turn off the laser projector when a duration of outputting the electrical signal is greater than or equal to a preset threshold.

A method of determining a material property of an object. The method comprises: obtaining a real light intensity value for each of a first number of light source positions and each of a second number of light sensor positions, the real light intensity value indicating an intensity of light from the light source position that is reflected or diffused by an object to the light sensor position; determining a three-dimensional surface of the object; and for each of a plurality of points on the three-dimensional surface of the object, using a model that has been trained by machine learning, predicting the material property for the object at the point based on the obtained real light intensity values.

A method of assessing the quality of a bond coat for bonding a ceramic coating to a metallic substrate comprises determining a thresholded summit area for the bond coat.

A parameter indicating a surface property of an object surface is plotted on the horizontal axis, a normal direction change rate of the shape of the object surface is plotted on the vertical axis, the minimum normal direction change rate visible to a person is associated with the parameter indicating the surface property of the object surface to create a visible area map, the relationship between the parameter indicating the surface property of a machining surface of a workpiece, and the maximum value of the normal direction change rate of the shape of the machining surface of the workpiece is displayed on the visible area map, and the object surface is evaluated.

A crack measuring apparatus includes distance-measuring units, an image pickup unit having pixels the positions of which are identified on an imaging device, an infrared image pickup unit having pixels the positions of which are identified on an imaging device and having sensitivity to infrared rays, driving units, angle-measuring units, and an arithmetic control unit, the arithmetic control unit searches for a cracked portion from a temperature difference in an infrared image by turning the infrared image pickup unit, captures an image of the cracked portion by the image pickup unit and identifies a position of the cracked portion from a density difference in the captured image, measures the position of the cracked portion by the distance-measuring units and the angle-measuring units, and acquires three-dimensional absolute coordinates of the cracked portion.