An optical detection device is an optical detection device that detects a desired wavelength component included in input light, and includes: a spectrometer including, for instance, a diffraction grating that receives the input light as an input and outputs an alignment of spectra each of which is a duplication of a spectrum of the input light; a second slit array including an array of three or more slits that pass light beams of wavelengths at three or more locations in the alignment of the spectra that are output from the spectrometer; and an imaging element composed of an array of pixels that receive the light beams, having passed through the second slit array, each of the light beams having three or more wavelength components. At least two pitches between slits are different in the array of the three or more slits included in the second slit array.

An electronic device valuation system is disclosed. One embodiment comprises: a display; a main body on which an electronic device is placed; a camera for capturing the electronic device by using lighting; and a controller displaying, on the display, the value of the electronic device determined on the basis of visual inspection results of the electronic device and performance inspection results of the electronic device. The visual inspection results are on the basis of an image of the electronic device captured by the camera. In addition, the lighting outputs light, but a portion of the lighting outputs light of different wavelengths so as not to offset the diffuse reflection of visual defects of the electronic device.

There is provided a method for determining a quality of an abrasive surface preparation of a composite surface, prior to the composite surface undergoing a post-processing operation. The method includes fabricating a plurality of levels of abrasive surface preparation standards for a reference composite surface; using one or more surface analysis tools to create target values for quantifying each of the levels; and measuring, with the surface analysis tools, one or more abrasive surface preparation locations on the composite surface of a test composite structure, to obtain one or more test result measurements. The method further includes comparing each of the one or more test result measurements to the levels, to obtain one or more test result levels; determining if the one or more test result levels meet the one or more target values; and determining whether the composite surface is acceptable to proceed with the post-processing operation.

Various defects in an electronic assembly can be intelligently identified with a system having at least a server connected to a first capture module and a second capture module. The first capture module may be positioned proximal a first manufacturing line while the second capture module is positioned proximal a second manufacturing line. Images can be collected of first and second electronic assemblies by respective first and second capture modules prior to the images being sent to a classification module of the server where at least one defect is automatically detected in each of the first and second electronic assemblies concurrently with the classification module.

The present disclosure relates to a system and method to measure the quality of the inspection process by assigning a score to indicate the level of integrity of a seal of a package in a packaged product. The packaged product is run through an inspection machine, e.g., an X-ray machine, to capture an image. Image processing techniques are used to identify the seal region from the image, which is then divided into a number of sub-regions. Seal scores for each sub-region is calculated using a mathematical framework that takes into account existence (or non-existence) of certain types of defects in the sub-regions. A report is generated to display the results of the seal score determination algorithm to the entity that requested the seal score.

In a case where a three-dimensional model of a construction stored in a storage is to be displayed on a display, an information display apparatus 10 accepts a view operation including an operation for enlarging the three-dimensional model from an operation interface and at least enlarges and displays the three-dimensional model. After a desired position on the three-dimensional model enlarged and displayed on the display is specified in accordance with a user operation, the information display apparatus identifies a three-dimensional position on the three-dimensional model corresponding to the position and identifies a management segment that is an inspection unit of the construction on the basis of the identified three-dimensional position. After the management segment is thus identified, the information display apparatus reads management information corresponding to the identified management segment from the storage and displays the management information on the display.

An inspection station for manufactured components includes a framework and a plurality of cameras. The framework has of a plurality of vertically stacked and spaced apart plates. Each plate defines a central orifice. The central orifices of each plate are aligned along an axis. The manufactured components are configured to freefall through the central orifices defined by the plates. The plurality of cameras is secured to the framework. Each camera is focused toward a region within the framework to capture images of the manufactured components. The plurality of cameras is arranged in an array that extends radially about the axis. At least one of the cameras is positioned at an angle above a horizontal plane that is perpendicular to the axis and intersects the region within the framework. At least one of the cameras is positioned at an angle below the horizontal plane.

Provided are a repair diagram generation device, a repair diagram generation method, and a program which accurately and efficiently generate a repair diagram showing a repair region to be repaired and a repair method from a captured image of a structure. A repair diagram generation device includes an image acquisition unit that acquires a captured image of a structure, a damage detection unit that detects damage from the captured image by image processing and specifies a degree of the damage, a method specifying unit that specifies a repair method of the damage based on the damage and the degree of the damage, and a repair diagram generation unit that generates a repair diagram showing a repair region and the repair method for repairing the damage based on the damage and the repair method.

There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

The invention relates to a method for providing a system for assessing a coated surface with respect to a type set containing at least one type of surface defect that can occur on the surface, to such a system for assessing a coated surface, to a measuring device for acquiring an image of a coated surface including such a system, and to a method for assessing a coated surface using such a system. The system can use a convolutional neural network (CNN), in particular the so-called U-Net architecture, to recognize the at least one surface defect in an image provided to the system. Moreover, the system can use a support vector machine algorithm to provide, based on the recognition results, quantitative and/or qualitative information about the depiction of the at least one surface defect in the image provided to the system.