A calibrated three-dimensional optical measuring apparatus for the three-dimensional measurement of geometric parameters of a rope has a frame defining and arranged around a rope receiving cavity. A plurality of image acquisition devices is configured to acquire a plurality of digital images of at least one region of an outer surface of the rope. The image acquisition devices are fixed to the frame and arranged around the rope when the calibrated three-dimensional optical measuring apparatus receives the rope in the rope receiving cavity. An attachment device is configured to constrain the calibrated three-dimensional optical measuring apparatus to the rope in a relatively translatable manner with respect to the rope. An electronic digital image processing device is configured to process a multiplicity of digital images and obtain a three-dimensional photogrammetric reconstruction of points of the digital images of the rope acquired by the image acquisition devices.

The following are observed using a camera: a first position of a small hole of a workpiece, which is fixed to a linear-and-tilting-motion stage and rotating with a rotating body, and a second position thereof different from the first position, at a first rotation angle of the rotating body; and the first position and the second position of the small hole of the workpiece at a second rotation angle different from the first rotation angle of the rotating body. A position and a tilt of the small hole are calculated from coordinates of the respective observed positions, and small hole information, which includes the position and the tilt of the small hole, is outputted.

Methods for determining a value of an intrinsic geometrical parameter of a geometrical feature characterizing a physical object, and for classifying a scene into at least one geometrical shape, each geometrical shape modeling a luminous object. A singular light distribution characterized by a first wavelength and a position of singularity is projected onto the physical object. Light excited by the singular light distribution that has interacted with the geometrical feature and that impinges upon a detector is detected and a return energy distribution is identified and quantified at one or more positions. A deep learning or neural network layer may be employed, using the detected light as direct input of the neural network layer, adapted to classify the scene, as a plurality of shapes, static or dynamic, the shapes being part of a set of shapes predetermined or acquired by learning.

A device for performing a measurement of a strand-shaped object comprises at least one transmission apparatus configured to emit measuring radiation onto the strand-shaped object, which reflects the measuring radiation. At least one receiving apparatus is configured to receive the measuring radiation reflected by the strand-shaped object. An evaluation apparatus is configured to determine at least one of (1) the diameter and (2) the outer contour of the strand-shaped object based on the measuring radiation received by the at least one receiving apparatus. At least one retroreflector is configured to surround at least a portion of the strand-shaped object and retroreflect at least some of the measuring radiation reflected by the strand-shaped object.

A cigarette filter inspection method of inspecting a solid flavor element to be disposed in a void between two filter plugs placed in outer filter wrapper, and the cigarette filter inspection method includes an illumination step of irradiating the void with illumination light, an imaging step of obtaining an inspection image of a region containing the void, a filler detection step of detecting the flavor element based on contrast between the void and the flavor element in the inspection image, and an inspection step of inspecting the flavor element detected in the inspection image.

Provided a full-automatic wheel hub 3D scanning system for intelligent production line of automotive wheel hubs, comprising: a base plate is provided with an X-directional displacement control device and a Y-directional displacement control device; a roller-table assembly is arranged on the base plate and comprises a roller table, wherein the roller table is provided with an opposite-type photoelectric sensors and a wheel hub centring positioning device for centring positioning a wheel hub; a 3D scanning device, comprising a mounting bracket, wherein the bottom of the mounting bracket is controlled by the Y-directional displacement control device; a 3D scanner is mounted on the mounting bracket; a wheel hub scanning platform is arranged at an end of the roller-table assembly and is controlled by the X-directional displacement control device; and a robot is arranged on a first side of the wheel hub scanning platform, for conveying the wheel hubs after 3D scanning.

The present invention provides a measurement device for grinding wheel. One or more thickness measurement device is disposed slidably on a platform. A spinning device is disposed on the platform. A grinding wheel is fixed on the spinning device. The spinning shaft spins the grinding wheel. The one or more thickness measurement device measures the flatness condition of the grinding wheel. Furthermore, according to the present invention, a diameter measurement device is disposed inside the platform and measures the roundness of the outer periphery of the grinding wheel. Since the structure can be disassembled easily, the whole measurement device for grinding wheel can be carried conveniently. In addition, measurements can be performed by users on the site where the grinding wheel is located for real-timely understanding the real size and wear condition of grinding wheel.

Methods and systems for measuring a component of a drug delivery or storage device are described. The method comprises providing a light source in an opposing relationship with an optical imaging sensor; positioning a sample component on a positioning stage located between the at least one light source and at least one opposing optical imaging sensor; and illuminating, with the at least one light source, the sample component. The controller is operable to capture an image of the component, determine the location of a first outer edge point PI of the captured image; rotate the sample component relative to the optical image sensor, and collect n images separated from each other by x degrees of rotation, wherein n*x is ≥360 degrees. The controller may compare a measured position of the at least one outer edge point PI between the captured images to determine a degree or circular runout.

A bundle includes five or more circular elongated elements. Each circular elongated element includes: a first end; a cylindrical portion defining an outer diameter of the circular elongated element and a rotation axis of the circular elongated element; and a second end. The first end and/or the second end of each circular elongated element fulfills at least one of the following equations: ARO≤A or ARO/OD≤B, where value A is 1.3 mm, ARO is an axial run out in mm of the first end and/or the second end of the respective circular elongated element, value B in mm/mm is 0.1, and OD is the outer diameter in mm of the respective circular elongated element.

A station for checking a tyre for vehicle wheels. The checking station includes a background with a support surface lying on a plane perpendicular to a reference axis, an image acquisition apparatus to acquire an image of the tyre arranged with a first outer lateral surface in contact with the support surface and a second outer lateral surface facing the image acquisition apparatus, an illumination system and a computer for generating a working image from the acquired image. The image acquisition apparatus, the illumination system and of the background are arranged to generate a contrast, in the working image, between the entire second outer lateral surface of the tyre and an area circumferentially surrounding the tyre.