Xerox Corporation

Philip Crane Rose

Barry Glynn Gombert

John Oliver Walker

Jennifer Colleen Perotti

Robert Roy Buckley

Tong Sun

Michael David Shepherd

Dale Ellen Gaucas

Paul Ronald Austin

Kirk John Ocke

Wei Hua Peng

Francisco Marino Valeriano

Geoffrey J Woolfe

Sabrina Pui-Wah Matsunaga

Geoffrey John Woolfe

Amos Y Kuo

Jennifer C Perrotti

Sri Hemanth Prakhya

A method and system creates a printed substrate suitable for conversion into a three-dimensional object. A template generator identifies a printing template having die line data representing a cutting path and folding position data representing a folding path. Foreground image data representative of a first image is automatically applied the selected printing template to define a target location for the first image, and also to define a second die line around a portion of the target location to form a second cutting path based on the foreground image data. A printer prints the first image onto a substrate at the target location, a cutting device cuts the substrate along the first cutting path and the second cutting path, and a scoring device scores the substrate along the folding path to generate a printed substrate that will fold into a three-dimensional object.

System and method to derive structure from image

A method automatically performs regression testing of output of an altered variable information print job (program). In one embodiment, the method begins by supplying test data to a variable information (VI) print job to produce first sample data. Next, the method applies a numeric generation application to the sample data to produce numerical representations. Then, the VI print job is altered and the same test data is supplied to the altered VI print job to produce second sample data. Again, the numeric generation application is applied to the second sample data to produce more of the numerical representations. The numerical representations are then compared to identify altered data records caused by the altering of the VI print job.

Automated variable information regression testing

A system and method of automatically assembling a package may include maintaining a data structure comprising a dynamic rule set for package production. A desired package may be selected for assembly. An assembly sequence may automatically be developed to create a three dimensional package from the dynamic rule set based on the desired package. The desired package may be assembled using the assembly sequence.

System and method for automating package assembly

A VI production system and method for automatic review of variable imaging job output includes a VI interpreter includes raster image processing for producing electronic output document images based on a variable imaging job included in a VI job stream. A proofing process includes obtaining sample document images from the output document images, and for each obtained sample document image, performing a review procedure. The review procedure includes comparing the obtained sample document image to a corresponding expected document image selected from the expected database to determine differences between the obtained sample document image and the corresponding expected document image. Based on at least one difference being determined, the differences are resolved by displaying the obtained sample document image on the user interface, indicating in the displayed sample document image each of the differences, and performing a difference procedure based on an operator input.

Automatic review of variable imaging jobs

The subject embodiments relate to software tools providing a simplified way for print customers to easily perform pre-press checks and editing digital assets for use in a variable information print job. The digital assets are uploaded to the appropriate storage location in a digital asset repository hosted by the print system and checked for compatibility with variable data fields. Suggested editing is also available.

Variable imaging asset upload and verification

A package assembly method and system may include a processor, a more printing device, an assembly device, a knowledge base containing a structural design ontology, and a memory structure. A memory structure may contain instructions that instruct the processor to query the knowledge base to obtain a two dimensional package model based on a known three dimensional package model and a set of intents, convert a three dimensional graphic representation to a two dimensional graphic representation using a semantic structure, access a packaging rule set to obtain rules for assembly of a three dimensional package from the model, instruct a printing device to apply the two dimensional graphic representation to the two dimensional package model, and instruct the assembly device to apply the rules for assembly to create the three dimensional package.

Packaging digital front end

A system for creating a package includes a processor, a memory, and computer-readable instructions that instruct the processor to receive a package description and generate content, formatting instructions, and a structural design features for a package. The system applies the content and structural design features to a substrate to convert a flat substrate into a three-dimensional package.

Package generation system

A rule based system can produce a formal product description when only partially specified processing instructions and page description language (PDL) files are available. The PDL files contain product content data and can contain product description data. The partially specified processing instructions can be obtained from PDL file metadata or from other sources such as a Job Definition Format (JDF) Graybox. A knowledge based reasoning module can use the product description data and partially specified processing instructions to produce a formal product description from which a process network can be automatically produced.

Transforming partially specified processing instructions and PDL data into a product description

A system and method of selecting a package model may include maintaining a data structure of a plurality of package models. Each package model may have a plurality of package model attributes including at least a size and a style. A user input may be received that is descriptive of a desired package capability. The user input may be analyzed using a semantic reasoner to determine one or more desired attributes. One or more package models may be automatically selected by accessing the data structure wherein, for each selected package model, each desired attribute satisfies the corresponding package model attribute. The one or more selected package models may be presented.

System and method for selecting a package structural design

A method of producing a packaged uses an electronic user interface to receive a first image of an object to be packaged, along with information relating to one or more properties of the object. A three dimensional size for the object is determined, and a package is automatically selected. Based on the object properties, a packing material type is automatically determined. Based upon the size and the selected package, a packing material amount is determined.

Custom packaging solution for arbitrary objects

Embodiments herein select performance indicators from raw data and measure the indicators over at least one time period to extract a time series of data for each of the indicators. The method determines a time order among the correlated indicators and determines a causal direction among the correlated indicators based on which of the correlated indicators occurs first in time so as to identify relative leading indicators among the correlated indicators. The processes of determining the time order and determining the causal direction can comprise applying Dynamic Time Warping and/or Granger Causality techniques to the time series of data.

Semi-automatic system with an iterative learning method for uncovering the leading indicators in business processes

A method and system for generating a customized, printed, three-dimensional object accesses a data record for a selected recipient and prints objects on a substrate based on the data record. The method and system then generates die lines based on the data record, and finishes the substrate by cutting, perforating, creasing, folding or otherwise finishing the substrate along the die lines to yield a customized, three-dimensional printed object.

Method and system for the production of variable-dimensional printed substrates

A production workflow integration system for a print shop includes multiple workstations, a printing device and a computer in communication with at least one of the workstations and the printing device. Each workstation includes a data collection module having at least one of an electronic data storage device reader. The printing device prepares a job ticket for each print job to be produced by the print shop. The computer stores print job instructions for the print job on an electronic data storage device attached to the job ticket and stores the identification information of the electronic data storage device in a field of a print job record in a database stored in the computer.

Production workflow integration system

A system and method of selecting a package model are disclosed. A data structure of a plurality of package models and one or more attribute relationships may be stored. Each package model may have a plurality of package model attributes including at least a size and a style. Each attribute relationship may include an indication that one or more supplemental attributes are required if a constraint is satisfied. A user input that is descriptive of a desired package capability may be received. Using a semantic reasoner, the user input may be analyzed to determine one or more desired attributes. The data structure may be accessed to automatically determine whether a desired attribute satisfies a constraint for an attribute relationship. The one or more supplemental attributes required by the attribute relationship may be presented.

A method of producing a custom packaging system for arbitrary objects. A first image of an object to be packaged is received via an electronic user interface. Information relating to the material properties of the object may be received as well via the interface. A three dimensional size for the object is determined. At least one package for the object is automatically selected. Based on the material properties, a packing material type is automatically determined. Based upon the size and the selected package, a packing material amount is determined. Further printing options are permitted.

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Sodus, NY, United States of America

Philip Crane Rose