Abstract: A method of automatically creating trust communities in a fleet of devices. The method includes finding candidate devices in a fleet of devices via one or more candidate discovery techniques and generating device-related data based on the candidate devices that are found, analyzing the device-related data via an analytics engine and creating one or more fleet orchestrator device lists based on the analysis of the device-related data, and automatically creating one or more new trust communities or suggesting joining one or more previously existing trust communities based at least on the one or more fleet orchestrator device lists for the candidate devices, wherein the one or more new trust communities or previously existing trust communities include at least a sub-set of the devices in the fleet, and wherein at least one of the managed devices in the sub-set of devices is configured as a root device to publish files via a file sharing function.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes executing a defect learning routine to identify defects, cataloging the defects based on a job function, a type of paper, and a machine state, receiving a job request, determining a known defect that has been catalogued based on the job function, the type of paper, and the machine state, and presenting a visualization of the known defect on a display of a user interface before executing the job request.

Abstract: A system and method are provided wherein, in at least one form, artificial intelligence is used to identify objects in a document to be considered for metallic rendering or printing on a substrate. Then, the options for printing, including the considerations for rendering in metallic toner or ink, are, in at least one form, presented to the user for acceptance or rejection before the actual printing is initiated.

Abstract: A method of automatically creating trust communities in a fleet of devices. The method includes finding candidate devices in a fleet of devices via one or more candidate discovery techniques and generating device-related data based on the candidate devices that are found, analyzing the device-related data via an analytics engine and creating one or more fleet orchestrator device lists based on the analysis of the device-related data, and automatically creating one or more new trust communities or suggesting joining one or more previously existing trust communities based at least on the one or more fleet orchestrator device lists for the candidate devices, wherein the one or more new trust communities or previously existing trust communities include at least a sub-set of the devices in the fleet, and wherein at least one of the managed devices in the sub-set of devices is configured as a root device to publish files via a file sharing function.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes detecting use of the MFD, wherein the MFD is associated with a plurality of MFDs that are designated as a cluster within a location, deactivating the MFD in response to use of the MFD being detected, transmitting a first notification to deactivate the plurality of MFDs within the cluster in response to use of the MFD being detected, initiating a decontamination process within the location in response to the use of the MFD being detected, receiving an indication that the decontamination process is completed, transmitting a second notification to reactivate the plurality of MFDs within the cluster, and reactivating the MFD.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes executing a defect learning routine to identify defects, cataloging the defects based on a job function, a type of paper, and a machine state, receiving a job request, determining a known defect that has been catalogued based on the job function, the type of paper, and the machine state, and presenting a visualization of the known defect on a display of a user interface before executing the job request.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes detecting use of the MFD, wherein the MFD is associated with a plurality of MFDs that are designated as a cluster within a location, deactivating the MFD in response to use of the MFD being detected, transmitting a first notification to deactivate the plurality of MFDs within the cluster in response to use of the MFD being detected, initiating a decontamination process within the location in response to the use of the MFD being detected, receiving an indication that the decontamination process is completed, transmitting a second notification to reactivate the plurality of MFDs within the cluster, and reactivating the MFD.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes receiving a video image of a multi-function device (MFD), applying an object detection model to the video image to generate an annotated image with bounding boxes around persons detected in the video image, determining a number of the bounding boxes, determining that the number of bounding boxes is greater than a threshold in a policy associated with the MFD, and deactivating the MFD.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes executing a defect learning routine to identify defects, cataloging the defects based on a job function, a type of paper, and a machine state, receiving a job request, determining a known defect that has been catalogued based on the job function, the type of paper, and the machine state, and presenting a visualization of the known defect on a display of a user interface before executing the job request.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes receiving a grammar-based voice search for a workflow, processing the grammar-based voice search into normalized terms associated with the MFD, searching for workflows that match the normalized terms from the grammar-based voice search, and displaying matching workflows in a sorted order on a user interface of the MFD.

Abstract: Disclosed is a novel system and method to enables users to map a user's intent finishing selections for a finishing job to each subsystem, e.g., device, protocol, ADF, and finisher unit, of an imaging device. The presently claimed invention creates distinct perspectives and a way to map between perspectives. The distinct perspectives include intent orientation, a print protocol, ADF, copy/scan/fax platen, device, and finisher unit. Through use of novel transformation for automating image rotations to dramatically reduce errors with understandable and repeatable correct outcomes. The formal algorithmic and mathematical approaches disclosed in the present invention makes it easier to describe subsystems of an imaging device. The software implementation using this novel approach eliminates the need for conditional logic based programming customized for each imaging device and its various subsystems.

Abstract: A method for customizing settings on a multi-function device (MFD) is disclosed. For example, the method is executed by a processor and includes monitoring user interactions with the MFD, determining that an interaction threshold is exceeded, customizing a setting on the MFD for the user in response to the interaction threshold being exceeded, and adjusting the setting from a default setting on the MFD in response to a subsequent login by the user on the MFD.

Abstract: A method for creating a consolidated work-flow on a multi-function device (MFD) is disclosed. For example, the method is executed by a processor and includes monitoring user interactions with the MFD, determining that an interaction threshold is exceeded, creating the consolidated work-flow for a particular user interaction with the MFD, and creating a short-cut associated with the consolidated work-flow, wherein the short-cut is to be displayed on a user interface (UI) of the MFD, wherein the consolidated work-flow is executed when the short-cut is selected.

Abstract: A system generates a secure barcode and prints the secure barcode on a substrate. The barcode includes a first set of cells of a first color and a second set of cells of the second color. A first vector pattern is encoded onto pixels for first set of cells of the barcode, and a second vector pattern is encoded onto pixels that correspond to the set group of cells of the barcode. The vectors in each pattern will have substantially the same colors, thicknesses and frequencies, but will be out of phase with respect to each other. The system will generate a secure barcode that vectors of each pattern.

Abstract: A method for sorting a group of managed devices includes querying a database of managed device with a sort query, such as an SQL query. The sort query captures an initial adjacency list in which managed devices are ordered, based on their respective parent device. Each of the managed devices is associated with a set of attributes. The initial adjacency list is sorted, e.g., using a depth-first search, based on at least one sorting criterion to generate a sorted adjacency list in which managed devices having a common parent device are reordered, based on respective attributes. The sorted adjacency list can be represented as a sorted directed graph, such as a directed tree. Modifications can be made to the sorted directed graph. A visualization of the sorted and optionally modified directed graph is output and/or a file is distributed to at least some of the managed devices, based thereon.

Abstract: A method of providing native scalable management of a fleet of managed devices, which includes establishing a Trust Community, which includes a sub-set of the managed devices, organizing the Trust Community, configuring one of the managed devices in the organized Trust Community as a Root Device to publish files via a file sharing function, adding the Root Device to a distribution profile stored in a database, creating or downloading files via the Root Device, and sharing the files with other devices in the organized Trust Community via the Root Device. Any devices on hold or offline are placed in a temporary working area for reorganizing. Download and install schedules are set up on a per device or a bulk basis according to policies. Files are placed into a staging area before re-distribution and checked for security, integrity, and/or completeness via checksums, digitally signed certificates, and/or internal structure checks.

Abstract: A user interface of a printer displays instructions to use the printer's document scanner for scanning a sheet of print media (of a stack of print media being added to the paper drawer) in response to a drawer sensor detecting the opening of the paper drawer. The document scanner generates an electronic image of the sheet of print media from the scanning of the sheet of print media. The processor evaluates the electronic image of the sheet of print media to identify the media type and color of the stack of print media being added to the paper drawer. For example, this is done by evaluating the size, color characteristic, transparency, and reflection characteristic of the electronic image of the sheet of print media. Then, the electronic memory records that the paper drawer contains the stack of print media having a specific media type and color.

Abstract: To troubleshoot an error, a printer uses a job ticket and printer-independent document data to perform a job, such as printing a document. The job ticket includes instructions for hardware component settings of the printer. In response to a capture bug command, the printer will capture, from a group of hardware configuration sensors, real-time values of the settings for the print device hardware components while the print device implements performs the job. The printer will save the captured real-time values of the settings, the job ticket, and the printer-independent document data to a merged file, and it will transmit the merged file to a maintenance service.

Abstract: To troubleshoot an error, a printer uses a job ticket and printer-independent document data to perform a job, such as printing a document. The job ticket includes instructions for hardware component settings of the printer. In response to a capture bug command, the printer will capture, from a group of hardware configuration sensors, real-time values of the settings for the print device hardware components while the print device implements performs the job. The printer will save the captured real-time values of the settings, the job ticket, and the printer-independent document data to a merged file, and it will transmit the merged file to a maintenance service.

Abstract: A method and system assist a user in selecting a print option for rendering an image. A database includes print options for rendering images on different sizes of print media. At least some of the print options include different levels of scaling of the image. Features of an image to be rendered are identified. Based on the identified features, at least one of the following is performed: filtering the print options and ranking the print options in the database, to identify a subset of candidate print options from the database of print options. A graphical user interface is generated for displaying representations of at least some of the candidate print options. The graphical user interface is displayed to a user on a display device, whereby a user is able to select a print option for rendering the image.