According to one embodiment, an inspection system inspects equipment including a first structural object and a second structural object. The first structural object extends in a first direction. The second structural object is provided around the first structural object. The second structural object has a first surface opposing the first structural object. A first protrusion is provided in the first surface. The first protrusion extends in the first direction. The system includes a robot and a controller. The robot includes an imager. The robot moves between the first structural object and the second structural object. The imager images the first protrusion. The controller detects, from a first image acquired by the imager, a first edge portion of the first protrusion in a circumferential direction around the first direction. The controller controls a movement of the robot by using the detected first edge portion.

The invention relates to a method for operating a processing apparatus and to a corresponding processing apparatus. Such a method and such an apparatus can be used in the field of furniture and components industry, for example for processing a plate-shaped workpiece made of wood, of a wood material, a wood-like material, of a composite material or a combination thereof.

According to one aspect, embodiments herein provide a method for in-process inspection of a 3D printed part with a 3D printer, comprising slicing a three dimensional model to define a plurality of shell volumes, for substantially each shell volume, generating a toolpath for depositing a printing material shell corresponding to the shell volume, transmitting, together with an identification, the toolpaths defining the printing material shells for deposition by a 3D printer, receiving, together with the identification, from the 3D printer a scanned surface profile of a printing material shell, and computing a process inspection including, according to the identification, a comparison between a received scanned surface profile and a toolpath defining a printing material shell.

An initial inspection or critical dimension measurement can be made at various sites on a wafer. The location, design clips, process tool parameters, or other parameters can be used to train a deep learning model. The deep learning model can be validated and these results can be used to retrain the deep learning model. This process can be repeated until the predictions meet a detection accuracy threshold. The deep learning model can be used to predict new probable defect location or critical dimension failure sites.

A machine tool for machining a piece has an axis of rotation A, and includes a no-force precision machining unit to machine the piece, a first spindle, a first clamping device clamping the piece and mounting it on the first spindle, and a machine parameters guidance system. The guidance system guides a controller for the machining unit to control a first machining phase of the piece on the first spindle programmed to obtain a blank mounted on the first spindle, with target dimensions are 0.5% to 20% greater than the final dimensions, then to modify the machining parameters to control, starting from the blank on the first spindle, a second machining phase to remove a quantity of material to obtain the finished piece, with the final dimensions and a roughness of less than 40 nm. A method for machining a piece using such a machine tool is also described.

An information processing apparatus includes a processor and a memory. The memory stores three-dimensional data describing a real device including an object, a source of an acting factor that acts on the object and causes a detectable change at the object, and a detector that detects the change in a specified detection range. The processor produces a virtual device that represents the real device in a virtual space, based on the three-dimensional data in the memory. With this virtual device, the processor simulates the change caused by the acting factor, and calculates a region of the object in which the simulated change satisfies a specified condition.

A system for process control of a composite fabrication process comprises an automated composite placement head, a vision system, and a computer system. The automated composite placement head is configured to lay down composite material. The vision system is connected to the automated composite placement head and configured to produce image data during an inspection of the composite material, wherein the inspection takes place at least one of during or after laying down the composite material. The computer system is configured to identify inconsistencies in the composite material visible within the image data, and make a number of metrology decisions based on the inconsistencies.

A method (400) for assessing quality of a transversal sealing (102) of a paperboard-based food package (100), wherein the food package (100) comprises a longitudinal scaling (104), and is provided with an reference imprint (106) in connection to the transversal sealing (102) is provided. The method (400) comprising, capturing (S402), by a camera (202), image data of the transversal scaling (102), determining (S404), in the image data, a position of the reference imprint (106), determining (S406), in the image data, a position of a reference line (104), determining (S408) quality measurement data of the transversal sealing (102) based on the position of the reference imprint (106) relative to the position of the reference line (104).

A robotic system is presented that includes a surface inspection system that receives sampling information for a number of areas within a region of a worksurface. The system also includes a robotic arm, coupled to a surface engaging tool, the robotic repair arm being configured to cause the surface processing tool to engage the region of the worksurface. The system also includes a process mapping system configured to, based on the sampling information: approximate a surface topography in the region of the worksurface, generate a surface processing plan for the region based on the approximated surface topography that includes a trajectory. The surface processing plan includes one of: a force profile along the trajectory, a velocity profile for the surface engaging tool along the trajectory, a rotational speed profile, for the surface engaging tool, along the trajectory, or a trajectory modification that accounts for the presence of a surface feature identified in the approximated surface topography. The process mapping system is also configured to generate a control signal for the robotic arm that includes the surface processing plan.

A control system (1) according to the present invention comprises: a control device (100) that monitors the operation of a plurality of moving parts for machining a workpiece (155), and controls the operation of the plurality of moving parts in each control cycle by issuing command values to the plurality of moving parts; and an inspection device (200) for inspecting the workpiece (155). The control device (100) comprises: an identification unit (160) for identifying, based on inspection results of the inspection device (200) and the command values issued to the plurality of moving parts, which moving part from among the plurality of moving parts has caused an abnormality in the inspection results; and a storage unit (170) for collecting and storing data on the moving part that has been identified by the identification unit (160) and caused the abnormality in the inspection results.