A system comprises a faceted structure imaging assembly and a faceted structure image analyzer. The system is configured to determine carat weight of a gemstone while in a mounted setting. In a first mode, the imaging assembly obtains a first image of a top gemstone surface. The image analyzer uses the first image to obtain at least one gemstone dimension, such as table and diameter dimensions. In a second mode, the imaging assembly obtains a second image of the top gemstone surface while a colored light pattern is reflected onto the gemstone. The image analyzer uses the second image to obtain at least one other gemstone dimension, such as crown and pavilion angles. The image analyzer uses the dimensions obtained from the first and second images to determine weight information of the gemstone. The system quickly determines gemstone weight reliably and consistently without skilled gemologists or removal from the setting.

A method for creating a segmented alignment rod, the method including receiving a request for a segmented alignment rod, receiving at least one image of a deformed spine, generating, a normal spinal curvature, and generating a segmented alignment rod design.

An apparatus for optical inspection of sanitaryware includes: a supporting device configured to receive a piece of sanitaryware to be inspected; at least one camera, configured to capture a plurality of images of the piece of sanitaryware under inspection; an automatic arm, movable between a plurality of operating positions relative to the supporting device, wherein the at least one camera is mounted on the automatic arm; a control unit, configured to receive the plurality of images, wherein the control unit is configured to process the plurality of images as a function of reference data to provide diagnostic information regarding the defectiveness of the piece of sanitaryware.

Disclosed embodiments relate to systems and methods for locating, measuring, counting or aiding in the handling of drill pipes 106. The system 100 comprises at least one camera 102 capable of gathering visual data 150 regarding detecting, localizing or both, pipes 106, roughnecks 116, elevators 118 and combinations thereof. The system 100 further comprises a processor 110 and a logging system 114 for recording the gathered visual data 150. The method 200 comprises acquiring visual data 150 using a camera 106, analyzing the acquired data 150, and recording the acquired data 150.

Tissue sample cassettes for receiving tissue samples include an upper tray including compartments separated by dividers, a lower tray coupled to the upper tray and having a central recess, and an absorbent material located in the recess of the lower tray. Related systems and methods for automated gross processing of tissue samples are also disclosed.

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).

A method for calibrating an active FOV of a single camera, wherein from the calibration of the cameras active FOV, a coordinate matrix is obtained which remotely produces a virtual interpolation measurement network at any point within an image (a frame) extracted from a video stream (recorded by the single camera), while eliminating the need to be physically located at the actual location where the video stream has been recorded. According to an embodiment of the invention, the basis of the active FOV of a camera is the ability to obtain (measure) coordinates of the measurement points marked on a calibration board.

Provided are a shape inspection device, a processing device, a height image processing method, and a height image processing program capable of accurately inspecting a measurement object. A profile data generation unit sequentially generates a plurality of pieces of profile data as the measurement object relatively moves in a Y-axis direction. A height image generation unit extracts characteristic points for the respective pieces of profile data, and moves the respective pieces of profile data in a plane intersecting with a Y axis such that the extracted characteristic points are aligned in a line in a direction corresponding to the Y axis. Then, the height image generation unit arranges the moved profile data in a direction corresponding to the Y axis to correct a height image.

The present invention relates to a secondary battery and an apparatus and method for measuring a dimension of the secondary battery. The secondary battery according to the present invention comprises: an electrode assembly in which an electrode and a separator are alternately laminated to be combined with each other; a pouch accommodating the electrode assembly therein; and a fluorescent reference marker applied to a portion of an outer surface of the pouch and comprising a fluorescent material, wherein the fluorescent reference marker emits fluorescence when an electromagnetic wave is irradiated so that the fluorescent reference marker serves as a reference point for measuring a dimension of the secondary battery.

Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.