A method for monitoring a work process in which a workpiece is worked on by a tool, the method comprising: providing an irregular pattern of indicia remote from the workpiece and the tool; imaging the indicia by an imaging device carried by the workpiece and thereby estimating the location of the workpiece with respect to the indicia; imaging the indicia by an imaging device carried by the tool and thereby estimating the location of the tool with respect to the indicia; and correlating the location of the workpiece and the tool to estimate an operation performed by the tool on the workpiece.

A machine control device includes: an imaging control unit that controls the imaging device to capture two images at two different imaging positions; an imaging position information acquiring unit that acquires positional information of the two imaging positions; a measurement distance restoring unit that restores a measurement distance of the object based on two images, distance information between two imaging positions, and a parameter of the imaging device by using a stereo camera method; and a predetermined precision position calculating unit that calculates distance information between the two imaging positions at which the measurement precision of the object satisfies a predetermined precision based on the two images, the measurement distance of the object, and the parameter of the imaging device, in which the machine control device controls the position and orientation of the imaging device based on the distance information between the two imaging positions, and changes two imaging positions.

When measuring the position of a workpiece fixed to a table of a machine tool: rotary feed axes of the machine tool are pivoted such that an upper surface of the table faces in the direction of a line of sight of a camera, and an image of the workpiece is captured; the rotary feed axes are pivoted such that a side surface of the table faces in the direction of the line of sight of an image capturing device, and an image of the workpiece is captured; and the position of the workpiece is measured on the machine tool on the basis of the captured images.

The invention relates to a handheld workpiece milling device with error self-correction based on augmented reality technology which includes a base, a control box, a milling mechanism, a control handle, and a direction and distance detecting mechanism. The base is provided with a transparent plate, a through groove, a screw hole, and a support platform. The controller, the battery and the display are arranged in the control box from bottom to top. The milling mechanism includes a housing, a motor, a rolling drum and a support rod 34. The control handle is respectively provided with a plurality of control buttons. The direction and distance detecting mechanism includes a first -shaped plate, an angle sensor, a tension spring, and a second -shaped plate, and a roller. The handheld workpiece milling device with error self-correction based on augmented reality technology has a reasonable structure, simple structure, convenient to use and high intelligence, high precision, small volume and strong practicability, and effectively solves the problem of low precision of the existing hand-held processing machine.

A computer numerical control (CNC) machining center is provided. The CNC machining center includes a spindle that receives a cutting tool. A work surface is operably arranged adjacent the spindle. A non-contact three-dimensional (3D) measurement device is operably coupled to the tool mount, the 3D measurement device including a projector and at least one device camera, the at least one camera being arranged to receive light from the light source that is reflected off of a surface. A plurality of targets is provided with at least one of the targets coupled to the 3D measurement device. At least two photogrammetry cameras are provided having a orientation and a field of view to acquire images of the targets. A controller is coupled for communication to the 3D measurement device and the at least two cameras, the controller determining the position of the 3D measurement device within the machining center during operation.

A monocular vision six-dimensional measurement method for high-dynamic large-range arbitrary contouring error of a CNC machine tool of the present invention belongs to the field of dynamic error detection of machine tools, and relates to a six-dimensional measurement method for high-dynamic large-range arbitrary contouring error of a CNC machine tool using a monocular vision measurement technology with short-time stroboscopic illumination and a priori standard plate. The method designs a measurement fixture and a measurement system, and uses a monocular vision pose algorithm to improve both the visual measurable dimension and range of interpolated contour in combination with priori knowledge. In light of the principle of error distribution, a small field of view is used to enhance the measurement accuracy of the coded primitives in the images. Then, by traversing all the acquired images using the proposed method, we can obtain the six-dimensional motion contour; and the six-dimensional contouring error caused by the imperfect machine interpolation can be computed by comparing the measured contour with the nominal one. The method enhances the measurable dimension of the vision technology through the monocular vision pose algorithm in combination with a datum transformation method, and realizes the six-dimensional measurement of large-range arbitrary contouring error of the CNC machine tool under the small field of view.

A machine tool system includes a machine tool main body for machining a workpiece supported on a table by using a tool detachably attached to a spindle, and an information processing apparatus. The machine tool main body includes a rotary tool magazine in which multiple grips each capable of holding the tool to be attached to the spindle are provided along the circumferential direction, and an image pickup device that is arranged in the tool magazine and configured to take an image of multiple members in a machining area of the machine tool main body. The information processing apparatus includes a geometric feature calculating unit configured to calculate the shapes and the arrangement state of the multiple members in the machining area, based on image data of the image taken by the image pickup device.

A detection device for detecting a workpiece with multiple surfaces includes a rotary table carrying the workpiece and moving the workpiece by rotation and a plurality of photographing devices arranged at a plurality of different positions around the rotary table. Each photographing device has an image capture device capturing an image of a corresponding surface of the workpiece that is moved to the image capture device. An orientation of the image capture device is defined by a first offset angle and a second offset angle when the image capture device captures the image of the corresponding surface of the workpiece.

In a method for automated positioning of a blank in a processing machine provided with a housing and a spindle unit with an electric motor, a control unit for control and electrical supply of the processing machine, a computer producing processing programs for manufacturing workpieces, a workpiece holder, and an image recording unit that optically records image data of a blank received in the workpiece holder, a blank is fixed in the processing machine and the image recording unit produces an image of the blank. A division of the blank into an already processed region and into an unprocessed region based on the image data of the image is performed. A workpiece geometry to be produced is assigned to the unprocessed region of the blank, and a milling operation is performed on the unprocessed region. In a variant of the method, the image recording unit is separate from the processing unit.

A positioning and measuring system includes: an image capturing device performing image capturing operations on an object; a driving mechanism mechanically connected to one or both of the image capturing device and the object to cause a relative movement between the image capturing device and the object; and a processor electrically connected to the image capturing device and the driving mechanism and performing steps of: controlling the image capturing device to capture N portions of the object to generate N images before and after controlling the driving mechanism to cause M relative movements between the object and the image capturing device; and extracting feature points of each of the N images corresponding to unique surface morphology of the object and respectively performing cross-image feature point matching according to the feature points of every neighboring two of the N images to obtain information of the M relative movements.