A method of determining a form measurement for a curved feature of an artefact. The method includes a positioning apparatus relatively moving the artefact and a measurement device relative along a curved path in a first direction, to obtain a first set of data points along the surface of the curved feature, and the positioning apparatus relatively moving the artefact and the measurement device other along a curved path in a second direction, opposite to the first direction, to obtain a second set of data points along the surface of the curved feature. The method further includes using the first and second sets of data points to determine a form measurement for the artefact.

A control device according to an embodiment receives first posture data of a posture of a first robot. The first robot includes a first manipulator and a first end effector. Furthermore, the control device sets the posture of the first robot based on the first posture data and causes the first robot to perform a first task on a first member. The first posture data is generated based on second posture data. The second posture data is of a posture when a second robot that includes a second manipulator and a second end effector performs a second task on the first member.

According to one embodiment, a processing system teaches an operation to a robot. The robot includes a detector including detection elements arranged along first and second directions, and a manipulator to which the detector is mounted. The processing system performs position teaching processing. The position teaching processing includes causing the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The position teaching processing includes calculating a center position of the weld portion in a first plane based on first intensity data of an intensity of the reflected wave, setting a teaching point of the robot based on a first position of the detector, and moving the detector along the first plane to a second position, and setting the teaching point based on the second position.

An on-machine monitoring system for the failure state of the rotating tool and a detection method thereof are provided. The monitoring system includes a detector, a data processing controller, a tool data server, and a Hall current sensor. A tool diameter and a tool length are determined according to image sequences of a tool. A wear state and a breakage state of the tool are determined according to the tool diameter and the tool length. A spindle current signal is acquired by the Hall current sensor. And an edge chipping state and a breaking state of the tool are determined according to the spindle current signal.

An information processing device to process a two-dimensional image generated by an imaging unit in a machine tool including an attachment unit to which the imaging unit or a tool is attachable, the attachment unit moving to image an image of a workpiece placed in the machine tool, the imaging unit imaging the image of the workpiece at an imaging position, the information processing device including a computation unit for (i) calculating a position of the workpiece based on an image imaged after the imaging unit has moved to a predetermined position based on machine coordinates of the machine tool, and (ii) detecting an edge of the workpiece from the two-dimensional image imaged by the imaging unit at an imaging position after the imaging unit has been moved from the predetermined position to the imaging position, and calculating a length of the workpiece from detected edges.

A transport device inspection system includes a plurality of transport devices configured to move along a transport path, a diagnostic server configured to create inspection schedule information for the plurality of transport devices, an inspector configured to receive the inspection schedule information from the diagnostic server and to sequentially inspect the plurality of transport devices in accordance with the inspection schedule information, and a transport device controller configured to receive the inspection schedule information from the inspector and to control the plurality of transport devices to sequentially move to an inspection position in accordance with the inspection schedule information.

An orbiting camera mount including an anti-rotation arm for connection to a spindle nose of a machine tool. A stationary pulley, having a pulley bore, is fixed to an end portion of the anti-rotation arm. The mount also includes a mounting post for connection to a spindle of the machine tool. The mounting post includes a drive shaft portion extending through the pulley bore. A drive housing is fixed to the drive shaft portion for rotation therewith and an output shaft is supported in the drive housing. A driven pulley is fixed to the output shaft and a drive belt extends between the stationary and driven pulleys, whereby rotation of the mounting post causes the output shaft to orbit around the drive shaft portion. A camera mounting stem is coupled to the output shaft and is oriented at a non-zero angle with respect to the drive shaft portion.

To provide an appearance inspection system capable of reduce labor for setting an imaging condition by a designer when a plurality of inspection target positions on a target is sequentially imaged. An appearance inspection system includes an imaging condition decision part and a route decision part. The imaging condition decision part decides a plurality of imaging condition candidates including a relative position between a workpiece and an imaging device for at least one inspection target position among a plurality of inspection target positions. The route decision part decides a change route of an imaging condition for sequentially imaging the plurality of inspection target positions by selecting one imaging condition among the plurality of imaging condition candidates so that a pre-decided requirement is satisfied.

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.

Provided is a method in which a processor (1) accesses a database which contains a set of data records containing a focus data record, (2) selects first data records from the set of data records, the first context information of which does not correspond to the first context information of the focus data record, and the second context information of which corresponds to the second context information of the focus data record, (3) lines up a focus graphic, (4) selects second data records from the set of data records, the first context information of which corresponds to the first context information of the focus data record, and the second context information of which does not correspond to the second context information of the focus data record, and (5) lines up second graphics.