H04N1/00063

Liquid crystal document handler CVT glass

According to exemplary scanning devices herein, a platen has a sheet side and a scanner side, opposite the sheet side. A scanner is located on the scanner side of the transparent platen. The platen has a constant velocity transport (CVT) scanning position at an end of the platen. A portion of the platen, located at the CVT scanning position of the platen has integral transparent electrodes and incorporates a polymer/liquid crystal filler material that is white in a first state and transparent in a second state. A scanner is located on the scanner side of the platen. A controller is electrically connected to the electrodes. The controller controls the state of the polymer/liquid crystal filler material during scanning of a document and during white calibration of the scanner.

DETERMINING ALIGNMENT USING FIDUCIALS

A print apparatus is disclosed. In some examples, the print apparatus comprises a print head to deposit print agent onto a substrate; a detector to detect a fiducial; a first light source to back-illuminate the substrate, such that light from the first light source is to be detected by the detector through the substrate; and processing apparatus. The processing apparatus is to operate the print head to deposit print agent to form a first fiducial on a first side of the substrate, the first fiducial comprising a shape of a first colour and having a first dimension, and a background of print agent of a second, different colour, wherein the first dimension of the shape does not exceed a corresponding dimension of the background; operate the print head to deposit print agent to form a second fiducial on a second, opposite side of the substrate, the second fiducial comprising an inverted version of the shape of the first colour; operate the first light source to back-illuminate the substrate; operate the detector to detect the first and second fiducials; and determine whether the first fiducial is aligned with the second fiducial. A method and a machine-readable medium are also disclosed.

DETERMINING PRINT QUALITY BASED ON INFORMATION OBTAINED FROM RENDERED IMAGE
20210392235 · 2021-12-16 ·

An example image forming apparatus includes an image forming apparatus, a processor, and a memory storing instructions executable by the processor. The processor of the image forming apparatus executes the instructions to render a print job, obtain information regarding a pattern for determining print quality from a rendered image of the print job, scan, through the image forming job unit, a document on which the rendered image is printed, and determine the print quality based on a scanned image of the document and the obtained information regarding the pattern.

CALCULATING CORRECTION FACTORS FOR SUBSEQUENT PRINTING OPERATIONS BY WEIGHTING MEASURED ALIGNMENT DIFFERENCES

A position of a first registration mark printed on a substrate during an earlier printing operation is detected. A second registration mark is printed on the substrate during a current printing operation at a position on the substrate relative to the first registration mark based on the detected position of the first registration mark and a correction factor. An alignment difference between the position of the first registration mark and the position of the second registration mark is measured. A new correction factor for a subsequent printing operation is calculated by weighting the measured alignment difference according to a difference between the measured alignment difference and a previous measured alignment difference.

INSPECTION DEVICE, IMAGE FORMING SYSTEM, INSPECTION METHOD, AND INSPECTION PROGRAM
20210374939 · 2021-12-02 · ·

There is provided an inspection device that performs quality inspection of a printed matter, the inspection device including: a first hardware processor that obtains a document image; a first reader that reads the printed matter obtained by forming a printed image on one surface of a transparent material based on the document image from a side of the other surface opposite to the one surface; and a second hardware processor that detects an abnormality of the printed matter based on the document image and a read image by the first reader.

IMAGE READING APPARATUS, IMAGE FORMING APPARATUS, METHOD FOR DETECTING FOREIGN SUBSTANCE, AND RECORDING MEDIUM
20210377396 · 2021-12-02 · ·

An image reading apparatus includes a light source to emit at least light in a first wavelength range and light in a second wavelength range, a background member having different light reflectances in the first and second wavelength ranges, an imaging device, and circuitry. The imaging device receives reflected light from the background member irradiated with the light in the first wavelength range, and generates first read information. The imaging device further receives reflected light from the background member irradiated with the light in the second wavelength range, and generates second read information. The circuitry detects presence or absence of a first foreign substance based on a difference in reading level of the first read information generated by the imaging device; and detect presence or absence of a second foreign substance based on a difference in reading level of the second read information generated by the imaging device.

IMAGE PROCESSING APPARATUS
20230266702 · 2023-08-24 ·

An image processing apparatus includes a scanner configured to read an image formed on a sheet along a reading direction and generate image data thereof, and a processor. The processor is configured to select a first region of the generated image data into which a first image indicating the reading direction is to be combined, set a pixel value of the first image in accordance with a pixel value of a pixel around the first region, and combine the first image having the determined pixel value into the first region of the image data and output the combined image data.

Reading device and image forming apparatus with foreign-object detection by comparing image from reading background with image from reading background and recording medium

A reading device and an image forming apparatus are provided. The reading device includes an image reading device configured to read an image on a recording medium being conveyed, a background device serving as a background image when the image is read by the image reading device, and a foreign-object detector configured to compare a first read image obtained as the background device is read by the image reading device with a second read image obtained as the background device and the recording medium are read by the image reading device to detect an attached foreign object. The image forming apparatus includes the reading device and an image forming device.

INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM STORING COMPUTER PROGRAM, AND INFORMATION PROCESSING METHOD
20230300261 · 2023-09-21 · ·

An information processing apparatus includes a processor configured to acquire history data of a process performed by an apparatus installed in a real environment, search for history data that matches a content of a part of items included in history data of the process that is erroneously finished and is history data of the identical process that is normally finished in another apparatus installed in the real environment, from history data of the other apparatus, extract a difference between the history data of the erroneously finished process and the history data of the normally finished process, and suggest a setting for normally finishing the process to the apparatus based on the extracted difference.

PART REPLACEMENT PREDICTIONS USING CONVOLUTIONAL NEURAL NETWORKS

An example of an apparatus including a communication interface to receive an image file is provided. The image file represents a scanned image of a output generated by a printing device. The apparatus further includes an identification engine to process the image file with a convolutional neural network model to identify a feature. The feature may be indicative of a potential failure. The apparatus also includes an image analysis engine to indicate a life expectancy of a part associated with the potential failure based on the feature. The image analysis engine uses the convolutional neural network model to determine life expectancy.