A verification apparatus according to one embodiment of the present disclosure selects an image associated with a code of a reference image switching sheet as a reference image when the code of the reference image switching sheet is read. An instruction is provided to discharge the reference image switching sheet to a set sheet discharging destination.

A method includes capturing a video of a plurality of drops being jetted through a nozzle of a printer. The method also includes measuring a signal proximate to the nozzle based at least partially upon the video. The method also includes determining one or more metrics that characterize a behavior of the drops based at least partially upon the signal.

A 3D printer includes a nozzle and a camera configured to capture an image, a video, or both of a plurality of drops of liquid metal being jetted through the nozzle. The 3D printer also includes a computing system configured to measure a signal proximate to the nozzle based at least partially upon the image, the video, or both. The computing system is also configured to determine one or more metrics that characterize a behavior of the drops based at least partially upon the signal.

A belt inspection system to detect a belt defect of an intermediate transfer belt of an image forming apparatus using a first belt image obtained by photographing the intermediate transfer belt, performs a preprocessing on the first belt image to generate a second belt image, detects a candidate for the belt defect from the second belt image, and performs, in the preprocessing, a noise removal processing to remove a specific noise included in the first belt image, the specific noise including a noise caused by the photographing, a noise of a specific size based on an average size of the belt defect, and a band-shaped or streak-shaped noise extending in the width direction of the intermediate transfer belt.

There is provided with an image processing apparatus. An obtaining unit obtains a first image serving as a read image of an inspection target medium having undergone printing, and a second image serving as a read image of a reference medium representing a target print result. An inspection unit inspects a defect on the inspection target medium based on the first image and the second image by performing inspection at inspection settings different between a print region and a peripheral region of the inspection target medium.

This application provides a method of detecting printing defects. The method includes obtaining a first image of each character in a reference image. A third image of each character is obtained based on the first image of each character, a fourth image of each character is obtained based on a second image of each character obtained from an image to be detected. Once a fifth image of each character is obtained based on the third image of each character, a sixth image of each character is obtained according to the fourth image and the fifth image of each character, a detection result of each character in the image to be detected is determined according to the fifth image and the sixth image of the each character.

An information processing device includes a processor configured to: acquire information related to image periodicity included in data of a first image and data of a second image to be compared; and correct predetermined information for aligning the data of the first image and the data of the second image on a basis of the information related to image periodicity.

Disclosed here is a system enabling users/customers to receive an objective assessment of the performance of a printer. This is accomplished by comparing a quality score of an earlier-in-time image with a quality score of a later-in-time image. A processor analyzes each image based on several criteria and uses various image-analysis methods, to flag errors within an image. A numeric quality score, based on the number of errors, is provided to the user to objectively evaluate whether the printer has degraded or not. Thus, the user can objectively present an argument to a salesperson or manufacturer that the user is due a remedy.

In printing of a print job to be inspected using a pre-printed sheet having information printed thereon in advance, control is performed so as not to register a reference image based on image data that is received.

A system employs a trained model to detect artifact(s) associated with artifact type(s) appearing in a reproduction of a source image (a test image). The system determines differences between the test image and the source image and outputs probabilities that the artifact(s) in the test image are associated with each of the artifact type(s). A dataset for training the model includes: (i) a reference category including reference image(s) without any artifacts; and (ii) artifact categories, each corresponding to a respective one of the artifact types and including noised images associated with the respective artifact type. Each noised image includes one of the reference images and an artifact associated with the respective artifact type. The model is trained to detect the artifact type(s) by providing the model with the dataset and causing the model to process differences between each noised image and the reference image in the noised image.