Abstract: Methods and systems for generating a secure copy of content associated with a non-fungible token (NFT) are disclosed. The system will receive a print request to print digital content that is associated with an NFT, access a blockchain to identify a current owner of the NFT, and generate a print job that with instructions to print the NFT content. If and only if the current owner of the NFT is the requesting entity, the system will print a unique authentication code with the digital content. The system will cause a print engine to print the digital content on a substrate or as a 3D object. In some embodiments, the system may be included in a print device that includes the print engine. Other aspects include a system that verifies whether a printed copy of content is an authorized copy, using the unique authentication code and the NFT described above.

Abstract: Methods and systems for generating a secure copy of content associated with a non-fungible token (NFT) are disclosed. The system will receive a print request to print digital content that is associated with an NFT, access a blockchain to identify a current owner of the NFT, and generate a print job that with instructions to print the NFT content. If and only if the current owner of the NFT is the requesting entity, the system will print a unique authentication code with the digital content. The system will cause a print engine to print the digital content on a substrate or as a 3D object. In some embodiments, the system may be included in a print device that includes the print engine. Other aspects include a system that verifies whether a printed copy of content is an authorized copy, using the unique authentication code and the NFT described above.

Abstract: A sheet processing system for automated sheet adjustment includes a sensor system which captures at least a first image of a sheet of print media as the sheet is conveyed on a main transport path between a print media supply module and a marking device of an image rendering module. A control module computes a lateral error for the sheet, based on the captured at least first image, and computes an adjustment based on the computed lateral error. A sheet transport path adjustment mechanism translates a first portion of the main transport path relative to a second portion of the main transport path, based on the computed adjustment.

Abstract: A system and method evaluate defects in printed images. A target image, which has been captured of a printed image, is processed to identify defects, where present, which do not occur in a source image from which the printed image was generated. A trained classification model predicts a defect class for respective regions of the target image, each of the defect classes being drawn from a predefined set of defect classes. For at least one of the identified defects, a measure of severity of the defect is determined, such as a size of the defect. A decision on the acceptability of the printed image is made, based on the measure of severity of the at least one defect and the predicted defect class of a respective one of the regions in which the defect occurs.

Abstract: A sheet processing system for automated sheet adjustment includes a sensor system which captures at least a first image of a sheet of print media as the sheet is conveyed on a main transport path between a print media supply module and a marking device of an image rendering module. A control module computes a lateral error for the sheet, based on the captured at least first image, and computes an adjustment based on the computed lateral error. A sheet transport path adjustment mechanism translates a first portion of the main transport path relative to a second portion of the main transport path, based on the computed adjustment.

Abstract: A system and method evaluate defects in printed images. A target image, which has been captured of a printed image, is processed to identify defects, where present, which do not occur in a source image from which the printed image was generated. A trained classification model predicts a defect class for respective regions of the target image, each of the defect classes being drawn from a predefined set of defect classes. For at least one of the identified defects, a measure of severity of the defect is determined, such as a size of the defect. A decision on the acceptability of the printed image is made, based on the measure of severity of the at least one defect and the predicted defect class of a respective one of the regions in which the defect occurs.

Abstract: An image processing system and method provide for receiving a current print job comprising a set of digital page images to be printed on print media sheets, identifying, for each page image, a set of input parameters, the set of input parameters including one or more of a print media sheet weight, a print media sheet size, a print media sheet thickness, a print media sheet porosity, a print media sheet coating, a print media sheet color, and an area coverage. The method further includes generating an adjustment for each page image, based on the set of input parameters and based on stored magnification errors generated for prior printed pages of print jobs, the adjustment being predicted to reduce at least one magnification error when the page image of the current print job is rendered on print media to form a printed image.