A monitoring apparatus (8) for monitoring a moving web (5), especially for defects (F), using analyzed image data of the web (5) comprises at least two camera elements (14, 140) that may be positioned adjacent one another perpendicular to the direction of transport (T) of the web (5). Said device comprises a control and evaluating unit (20, 200) and at least one serial communication link (21, 22) that connects at least one camera element (14, 140) to the control and evaluating unit (20, 200). Each camera element (14) comprises an area scan element (15) for capturing raw data (BI).

The monitoring apparatus (8) comprises at least one camera module (13, 130, 131) that contains at least one camera group (G1, G2) having at least two camera elements (14, 140) and a housing (17). The camera elements (14, 140) of a camera group (G1, G2) are connected to a serial communication link (21, 22). They are designed to forward the raw data (BI) captured by the area scan elements (15) over the serial communication link (21, 22) to the control and evaluating unit (20, 200). The control and evaluating unit (20, 200) is designed for the generation of image data from the raw data (B1) and for analyzing the image data from the camera element (14, 140) of the camera groups (G1, G2).

The purpose of the present invention is to accurately detect structures from a remote location without contact while distinguishing between defects such as cracking, separation, and internal cavities. This status determination device includes: a displacement calculation unit that calculates a two-dimensional spatial distribution of displacement in time-series images, said time-series images being taken before and after a load is applied to a surface of a structure; a correction amount calculation unit that calculates a correction amount from the two-dimensional spatial distribution of displacement in the time-series images, said correction amount being based on the amount of movement of the structure surface in the normal direction as induced by said loading; a displacement correction unit that subtracts the correction amount from the two-dimensional spatial distribution of displacement in the time-series images, and extracts a two-dimensional spatial distribution of displacement of the structure surface; and an abnormality determination unit for identifying defects in the structure on the basis of a comparison of the two-dimensional spatial distribution of displacement of the structure surface and a pre-prepared spatial distribution of displacement.

The present invention relates to a method for generating a compensation matrix during a substrate inspection. The method comprises the steps of: selecting information of N1 (N12) feature objects which are randomly predetermined within a field of view (FOV) on a substrate; generating a first compensation matrix on the basis of information of the feature objects which are extracted on the substrate; comparing an offset value of each of all the feature objects with a predetermined reference value by applying all the feature objects within the FOV to the compensation matrix to count the number of the feature objects of which the offset value of the each of all the feature objects is less than the predetermined reference value; and repeatedly performing the above steps N2 times (N21), and generating a second compensation matrix using information of the feature objects which have the offset value which is less than the predetermined reference value, in case the number of the counted feature objects is the maximum.

A dynamic signal to noise ratio tracking system enables detection and tracking of amusement park equipment within the field of view of the tracking system. The tracking system may include an emitter configured to emit electromagnetic radiation within an area, a detector configured to detect electromagnetic radiation reflected back from vehicles within the area, and a control unit configured to evaluate signals from the detector to survey the amusement park equipment to determine whether the equipment has degraded or shifted.

An endoscope apparatus includes: a processor including hardware, wherein the processor is configured to acquire information about an object that can be controlled by a rotation assisting tool configured to cause an object including a rotating body to rotate, from the rotation assisting tool; and a first storage configured to store reference information corresponding to the information about the object acquired by the processor.

An optical apparatus and a method for color scanning a surface of an article moving along a travel path axis make use of an imaging sensor unit including a digital color camera capable of generating highly focused color images, even when distance from surface to camera varies, by providing the camera with an objective defining an optical plane disposed in Scheimpflug configuration. A beam of collimated polychromatic light of an elongated cross-section is directed within a Scheimpflug scanning plane of focus and toward a scanning zone to form a reflected linear band of light onto the article surface of an intensity substantially uniform within the depth of sensing field. The reflected linear band of light is captured by the digital camera to generate a two-dimensional color image thereof, from which a single line color image data is extracted. The line data extraction is repeated as the article moves to generate successive line color image data, from which a two-dimensional color image of the article is built.

A dynamic signal to noise ratio tracking system enables detection and tracking of amusement park equipment within the field of view of the tracking system. The tracking system may include an emitter configured to emit electromagnetic radiation within an area, a detector configured to detect electromagnetic radiation reflected back from vehicles within the area, and a control unit configured to evaluate signals from the detector to survey the amusement park equipment to determine whether the equipment has degraded or shifted.

Self-leveling inspection system methods and devices for use in inspecting buried pipes or other cavities are disclosed. A camera head may include an image sensor, an orientation sensing module, and an image processing module with programming to adjust an image or video provided from the image sensor, based at least in part on information provided from the orientation sensor.

A surface inspection system, as well as related components and methods, are provided. The surface inspection system includes a beam source subsystem, a beam scanning subsystem, a workpiece movement subsystem, an optical collection and detection subsystem, and a processing subsystem. The optical collection and detection system features, in the front quartersphere, a light channel assembly for collecting light reflected from the surface of the workpiece, and a front collector and wing collectors for collecting light scattered from the surface, to greatly improve the measurement capabilities of the system. The light channel assembly has a switchable edge exclusion mask and a reflected light detection system for improved detection of the reflected light.

Parameters of a sample are measured using a model-based approach that utilizes the difference between experimental spectra acquired from the sample and experimental anchor spectra acquired from one or more reference samples at the same optical metrology tool. Anchor parameters of the one or more reference samples are determined using one or more reference optical metrology tools. The anchor spectrum is obtained and the target spectrum for the sample is acquired using the optical metrology tool. A differential experimental spectrum is generated based on a difference between the target spectrum and the anchor spectrum. The parameters for the sample are determined using the differential experimental spectrum and the anchor parameters, e.g., by comparing the differential experimental spectrum to a differential simulated spectrum, which is based on a difference between spectra simulated using a model having the parameters and a spectrum simulated using a model having the anchor parameters.