An image processing method for identifying text on production line components obtains an image to be recognized and a standard image for reference and extracts a first text area of the image to be recognized. A second text area of the standard image is obtained, and a text window is extracted based on the second text area. The method further obtains a target text area of the image to be recognized based on the first text area and the text window, and obtains a first set of first text sub-areas, and obtains a second set of second text sub-areas, by dividing the second text area into sub-windows of the text window. The method further marks the image to be recognized as a qualifying image when each first text sub-area of the first set is the same as a corresponding second text sub-area of the second set.

In an inspection system including a printing apparatus, an inspection apparatus configured to inspect quality of a printed product printed by the printing apparatus, and an information processing apparatus configured to transmit a print job to the printing apparatus, the information processing apparatus transmits a print job to the printing apparatus in a case where a reference image to be used for inspecting the quality of the printed product corresponding to the print job is registered, and does not transmit the print job in a case where the reference image corresponding to the print job is not registered.

Method for determining an angular orientation of a log (2) about one of its longitudinal development axes, comprising a first generation step, during which one or more first digital images are generated of the lateral surface of the log placed in a reference position, using one or more first digital photographs, a second generation step, during which one or more second digital images are generated of the lateral surface (1) of the log (2) placed in a second position using the one or more second digital photographs, a step of comparing the one or more second digital images with the one or more first digital images, and a step of determining the angular orientation of the log (2) in the second position with reference to a reference angular orientation of the log (2) in the reference position, based on information related to the first digital images and the second digital images for which a match was identified. Also claimed is a device which can implement is programmed to perform the following of the steps described above: the second generation step, the comparison step and the determination step.

A method, system and platform for implementing an automated grading system that can reliably and efficiently grade a trading object such as numismatics and trading cards are disclosed. Via adopting industry-standard grading scales, the present computer-assisted numismatics and sports trading card platform utilizes various techniques, such as laser scanning, machine vision, smartphone IOS and Android native installed object recognition, neural network models, blockchain, NFT with smart contracts, digital fingerprints identified as intellectual property and royalties to enable consistent grading and trading of a large quantity of trading objects. It can further enable authenticity verification, and transactions of the graded trading objects.

A process includes receiving a target quality value, receiving a measured quality value, receiving a source quality value, and sending a source control instruction. The source control instruction is based at least in part on the target quality value, the measured quality value, and the source quality value. The target quality value, the measured quality value, the source quality value, and the source control instruction are communicated via the communication port. The measured quality value is generated by an inspection device configured to inspect a sample. The source quality value is associated with a quality level of a first group of samples. The target quality value indicates a desired quality value of an output group of samples. The source control instruction causes a source selecting device to select one of a plurality of groups of samples, each group having identified quality characteristics.

The present invention relates to an apparatus for calibrated testing of a printing of an article. The apparatus includes a data providing device adapted to provide printing data for the article from product data of the article and a camera device adapted to capture an image of an article printed by a printing process and to provide it as image data. The apparatus also includes a database device adapted to provide calibration data for the camera device and a computer device adapted to perform a quality check of the printing process based on a comparison of the printing data with the image data taking into account the calibration data.

Systems and methods for generating assessments based on construction site images are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. Further, at least one electronic record associated with the construction site may be obtained. The image data and the at least one electronic record may be analyzed to generate at least one assessment related to the construction site. For example, the image data may be analyzed to identify at least one discrepancy between the at least one electronic record and the construction site, and the identified at least one discrepancy may be used in the generation of the at least one assessment.

A information processing apparatus (2000) includes a determination unit (2160) and a deletion unit (2180). The determination unit (2160) determines whether feature information to be determined satisfies a predetermined condition. When feature information to be determined is determined to satisfy the predetermined condition, the deletion unit (2180) deletes the feature information to be determined from the storage apparatus (120).

A reticle inspection system may include two or more inspection tools to generate two or more sets of inspection images for characterizing a reticle, where the two or more inspection tools include at least one reticle inspection tool providing inspection images of the reticle. The reticle inspection system may further include a controller to correlate data from the two or more sets of inspection images to positions on the reticle, detect one or more defects of interest on the reticle with the correlated data as inputs to a multi-input defect detection model, and output defect data associated with the defects of interest.

A method for automatically reconstituting the architecture, along a reinforcing axis, of the reinforcement of a composite material, includes acquiring images of the reinforcement of the composite material, each image being acquired along a section plane perpendicular to the reinforcing axis; for each image acquired, detecting, using a neural network, barycentre and/or the circumference of each section of the reinforcing thread; for at least one acquired reference image, assigning a tag corresponding to a reinforcing thread, to each detected barycentre or circumference; for each other acquired image, assigning, to each detected barycentre and/or each detected circumference, the tag of the corresponding barycentre in the acquired reference image; reconstituting the architecture of each reinforcing thread from each detected barycentre and/or circumference having the tag of the reinforcing thread and the position on the reinforcing axis associated with the acquired image on which the barycentre and/or the circumference has been detected.