An inspection system is provided for the inspection of a lateral surface of a three-dimensional test object. The inspection system includes a conveying structure; (ii) a facet mirror; and (iii) an optical inspection device. In this context, the inspection system is arranged to rotate the conveying structure and the facet mirror in a coordinated manner and in opposite directions of rotation in such a way that each of a plurality of object carriers, as they pass through an inspection area, is imaged onto the inspection device by exactly one of the facets of the facet mirror. A corresponding method for inspection is also provided.

An inspection robot, and methods and a controller thereof are disclosed. An inspection robot may include an inspection chassis including a plurality of inspection sensors and coupled to at least one drive module to drive the robot over an inspection surface. The inspection robot may also include a controller including an inspection data circuit to interpret inspection base data, an inspection processing circuit to determine refined inspection data, and an inspection configuration circuit to determine an inspection response value in response to the refined inspection data. The controller may further include an inspection response circuit to, in response to the inspection response value, provide an inspection command value while the inspection robot is interrogating the inspection surface.

A method may include measuring a formation sample using a Raman spectrometer to determine a formation sample characteristic, wherein the formation sample characteristic is mineral ID and distribution, carbon ID and distribution, thermal maturity, rock texture, fossil characterization, or combinations thereof.

Embodiments of the disclosure are drawn to projecting light on a surface and analyzing the scattered light to obtain spatial information of the surface and generate a three dimensional model of the surface. The three dimensional model may then be analyzed to calculate one or more surface characteristics, such as roughness. The surface characteristics may then be analyzed to provide a result, such as a diagnosis or a product recommendation. In some examples, a mobile device is used to analyze the surface.

A system for characterising surfaces in a real-world scene, the system comprising an object identification unit operable to identify one or more objects within one or more captured images of the real-world scene, a characteristic identification unit operable to identify one or more characteristics of one or more surfaces of the identified objects, and an information generation unit operable to generate information linking an object and one or more surface characteristics associated with that object.

A calibration standard for geometry measurement calibration of a measurement system operating by tactile and/or optical means is provided which includes a flat surface having a structure that is capturable by a measurement system operating by optical and/or tactile means. The structure has a changeable periodicity that is capturable by a sensor in a first direction and/or in a second direction and for a change in the periodicity to code position information and/or direction information. In addition, a method for calibrating a coordinate measuring machine operating by tactile and/or optical means and to a coordinate measuring machine for such a method or having such a calibration standard is provided.

Some embodiments of the disclosure provide a flatness detection device. In an embodiment, the flatness detection device includes a back plate, an electromagnet, a cross beam, a probe, and a limiting frame. The limiting frame and the electromagnet are provided side by side on the back plate. The cross beam is located above the limiting frame and the electromagnet. The probe vertically penetrates the cross beam and the limiting frame. A spring is provided between the cross beam and the electromagnet. The spring is movable in a vertical direction by a guide, the movement being at least one of compression and extension.

A location and governance system and method for light electric vehicles that includes on-board sensors and receivers for providing readings used to compute absolute and relative vehicle position information, and combining the absolute and relative position information to compute a determined vehicle position, and a current surface type being traveled on by the vehicle. Governance commands for the vehicle can be generated based on the current surface type. Positioning system receivers, inertial measuring units, cameras and other sensor can be used. Vibration analysis, image processing, transition detection and other methods can be used to determine vehicle position and surface type, and spatial databases and other resources can be used. Determining a current surface type the vehicle is travelling on can include determining whether the vehicle is traveling on a sidewalk.

A topographical measurement system uses an imaging cartridge formed of a rigid optical element and a clear, elastomeric sensing surface configured to capture high-resolution topographical data from a measurement surface. The imaging cartridge may be configured as a removable cartridge for the system so that the imaging cartridge, including the rigid optical element and elastomeric sensing surface can be removed and replaced as a single, integral component that is robust/stable over multiple uses, and easily user-replaceable as frequently as necessary or desired. The cartridge may also usefully incorporate a number of light shaping and other features to support optimal illumination and image capture.

Disclosed is a photomask comprising: a transparent substrate; and a multi-layer light shielding pattern film disposed on the transparent substrate, wherein the multi-layer light shielding pattern film comprises: a first light shielding film; and a second light shielding film disposed on the first light shielding film and comprising a transition metal and at least one selected from the group consisting of oxygen and nitrogen, and wherein a surface roughness Wr of the measuring zone satisfies Equation 1 below:

0 nm<Wr−Wo≤3 nm  [Equation 1] where, in the Equation 1 above, Wo is a surface roughness of the measuring zone before soaking and washing processes, Wr is a surface roughness of the measuring zone after soaking in SC-1 (standard clean-1) solution and washing with ozone water, and the SC-1 solution comprises NH.sub.4OH, H.sub.2O.sub.2, and H.sub.2O.