Object holder for a direct-to-object printer

    公开(公告)号:US10093112B1

    公开(公告)日:2018-10-09

    申请号:US15621450

    申请日:2017-06-13

    Abstract: What is disclosed is an object holder for retaining an object in a direct-to-object print system and a direct-to-object print system configured to use various embodiments of the object holder of the present invention. The object holder comprises a shuttle mount configured to slideably traverse a support member positioned parallel to a plane formed by at least one printhead of a direct-to-object print system. An expandable bladder attached to either the shuttle mount or a restraint. The bladder is inserted in a cavity of an object to be printed. A pump then fills the bladder with either a gas or a liquid to cause the bladder to expand. The expanded bladder in the object's cavity enables a surface of the object to be printed. In one embodiment, the filled bladder substantially conforms to a shape of a human foot, and the object being printed is footwear.

    SYSTEM AND METHOD FOR ADJUSTING A PRINTHEAD TO MEDIA GAP IN AN INKJET PRINTER

    公开(公告)号:US20230062654A1

    公开(公告)日:2023-03-02

    申请号:US17458931

    申请日:2021-08-27

    Abstract: A method of operating a printer compares print job parameters for a current print job to be printed by the printer to a database of print job parameters for previously performed print jobs to identify media issues that may be caused by printing the current print job at a nominal printhead/media transport path distance. The gap between the printheads and the media transport is adjusted for identified media issues. Additionally, the method evaluates the image data content of the current print job to identify media issues that may arise from the printing of each sheet in the print job. If media issues are identified from the image data content, then the gap between the printheads and the media transport is further adjusted for sheets corresponding to the identified media issues caused by the image data content. An inkjet printer capable of being operated in this manner is also disclosed.

    SYSTEM AND METHOD FOR EVALUATING IMPACTS OF DEFECTS IN PRINTED IMAGES

    公开(公告)号:US20220309634A1

    公开(公告)日:2022-09-29

    申请号:US17209520

    申请日:2021-03-23

    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.

    Registration system with a spline and yoke

    公开(公告)号:US10987915B2

    公开(公告)日:2021-04-27

    申请号:US16380160

    申请日:2019-04-10

    Abstract: A registration system for a printing device and a method for controlling the same are disclosed. For example, the registration system includes a lead screw motor, a lead screw coupled to the lead screw motor, and a carriage coupled to the lead screw. The carriage includes two drive rollers, wherein each drive roller is coupled to a respective splined shaft coupled to a respective yoke, wherein the respective yoke is coupled to a drive pulley and a drive motor that is in a fixed position, wherein movement of the carriage causes the respective splined shaft of the two drive rollers to move guided by the respective yoke.

    System and method for evaluating impacts of defects in printed images

    公开(公告)号:US11508058B2

    公开(公告)日:2022-11-22

    申请号:US17209520

    申请日:2021-03-23

    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.

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