Abstract: A vial coating quality inspection system comprises a vial coating quality measurement system comprising one or more imaging components for capturing images of a region of interest on a coated vial, and a processor configured to receive image data transmitted from the one or more imaging components. A method of inspecting quality of an exterior coating on a vial comprises obtaining a coating quality measurement of the vial exterior coating using optical reflectance imaging; transmitting the raw coating quality measurement data to a processor; and displaying the captured vial image and classification and prediction output from the processor. The processor preprocesses the raw measurement data and inputs the preprocessed data to a classification prediction model, the classification prediction model is updated using training data, the coating quality is classified based on the prediction model.

Abstract: In order to automatically group or cluster printing devices in a fleet of such devices for servicing, print status data and print state data are received, which comprises alert information for each of the plurality of printing devices, from each of a plurality of printing devices in a fleet of devices. Devices with similar print statuses and alerts are automatically clustered, and the clustered output result displayed on a user interface of a device management application (DMA). The clustered output result is also integrated into the DMA, and a print status alert module generates automated print status alerts for printers identified during clustering. The automated print status alerts are then output for display on the user interface.

Abstract: Disclosed is a diagnostic method and system including the processing of historical event logs generated by one or more devices. According to an exemplary embodiment, a diagnostic system includes an event log acquisition module, an event classification module classifying event logs acquired, and a diagnostic module generating a labeled version of the historical event log including labels provided by the classification module. The event classification module is trained using supervised machine learning techniques.

Abstract: In order to automatically group or cluster printing devices in a fleet of such devices for servicing, print status data and print state data are received, which comprises alert information for each of the plurality of printing devices, from each of a plurality of printing devices in a fleet of devices. Devices with similar print statuses and alerts are automatically clustered, and the clustered output result displayed on a user interface of a device management application (DMA). The clustered output result is also integrated into the DMA, and a print status alert module generates automated print status alerts for printers identified during clustering. The automated print status alerts are then output for display on the user interface.

Abstract: A device management application (DMA) contacts printing devices connected to a computer network to obtain the device type, configuration parameters, and configuration settings from the printing devices. The device type, the configuration parameters, and the configuration settings are stored for each of the printing devices in a nested hash table. The configuration settings are grouped for each of the printing devices by device type in a working file, such as an XML tree that has leaf nodes for each configuration parameter of each different device type group. These methods identify the most common configuration settings for each of the configuration parameters in the leaf nodes, and map the most common configuration settings for the configuration parameters to configuration setup files for each the device type group. The configuration setup files are then deployed to the printing devices.

Abstract: Disclosed is a diagnostic method and system including the processing of historical event logs generated by one or more devices. According to an exemplary embodiment, a diagnostic system includes an event log acquisition module, an event classification module classifying event logs acquired, and a diagnostic module generating a labeled version of the historical event log including labels provided by the classification module. The event classification module is trained using supervised machine learning techniques.

Abstract: Methods, systems, and processor-readable media for remotely providing a device status alert. In an example embodiment, data indicative of the status of one or more devices can be subject to an HMM (Hidden Markov Model) and a dynamic programming algorithm to determine the latent state of the device (or devices). A status alert model can be trained based on such data and can be expanded with respect to a wide range of devices including utilizing semi-supervised learning. The alert status model can then be integrated into a device management application that provides a status alert regarding one or more of such devices based on the status alert model.

Abstract: Disclosed are methods and systems for creating a printer model which maps device dependent color space representations of reference colors to device independent color space representations of the reference colors for a direct marking color printer. According to an exemplary method, a plurality of printer models are initially generated, each printer model corresponding to a predetermined width associated with the cross-process direction of an image receiving surface.

Abstract: A method of operating an inkjet printer reduces ink drop placement errors in a process direction. The method includes generating firing signals for inkjets in a printhead at a first frequency and initiating the generation of the firing signals to a first plurality of inkjets in the printhead at a second frequency, the first frequency being greater than the second frequency.

Abstract: A method for process direction registration in an inkjet printer includes ejecting ink drops from a first inkjet at less than a maximum operating rate onto an image receiving surface moving in a process direction. The method includes generating image data samples of the image receiving surface including the ink drops. The method further includes identifying a center of the ink drops in the process direction with reference to the image data samples and storing a time offset value in a memory to correct an identified process direction offset between the identified center of the ink drops and another identified center of ink drops that are ejected by another inkjet.

Abstract: A method for process direction registration in an inkjet printer includes ejecting ink drops from a first inkjet at less than a maximum operating rate onto an image receiving surface moving in a process direction. The method includes generating image data samples of the image receiving surface including the ink drops. The method further includes identifying a center of the ink drops in the process direction with reference to the image data samples and storing a time offset value in a memory to correct an identified process direction offset between the identified center of the ink drops and another identified center of ink drops that are ejected by another inkjet.

Abstract: A camera may be positioned to have a direct view of on-coming vehicle traffic from a first perspective. Additionally, a reflective surface, such as a mirror, may be positioned within the viewing area of the same camera to provide the camera with a reflected view of vehicle traffic from a second perspective. The images recorded by the camera may then be received by a computing device. The computing device may separate the images into a direct view region and a reflected view region. After separation, the regions may be analyzed independently and/or combined with other regions, and the analyzed data may be stored. The regions may be analyzed to determine various vehicle characteristics, including, but not limited to, vehicle speed, license plate identification, vehicle occupancy, vehicle count, and vehicle type.

Abstract: A method compensates for changes in drop velocity of drops emitted by inkjets in a printhead of an ink jet imaging device. The method includes operating inkjet ejectors in a plurality of printheads to eject ink in a pattern of structured dashes on an image receiving member, the structured dashes corresponding to a predetermined image data pattern, generating image data corresponding to the pattern of structured dashes on the image receiving member, identifying a process direction correction parameter for each ejector in the plurality of printheads with reference to the generated image data, modifying image data to be printed by the plurality of printheads with reference to the process direction correction parameter identified for at least one of the ejectors, and operating the plurality of printheads with reference to the modified image data.

Abstract: A method of operating an inkjet printer reduces ink drop placement errors in a process direction. The method includes generating firing signals for inkjets in a printhead at a first frequency and initiating the generation of the firing signals to a first plurality of inkjets in the printhead at a second frequency, the first frequency being greater than the second frequency.

Abstract: A test pattern printed by printheads in an inkjet printer enables image analysis of the test pattern that identifies positions of the printheads and the inkjets operating in the printheads. The test pattern includes a plurality of arrangements of dashes, each arrangement of dashes having a predetermined number of rows and a predetermined number of columns, each dash in a row of dashes in the arrangement of dashes being separated by a first predetermined distance and each dash in a column of dashes in the arrangement of dashes being separated by a second predetermined distance, each dash in a column of an arrangement of dashes being ejected by a single inkjet ejector in a printhead of the inkjet printer, and a plurality of unprinted areas interspersed between the plurality of arrangements of dashes.

Abstract: A camera may be positioned to have a direct view of on-coming vehicle traffic from a first perspective. Additionally, a reflective surface, such as a mirror, may be positioned within the viewing area of the same camera to provide the camera with a reflected view of vehicle traffic from a second perspective. The images recorded by the camera may then be received by a computing device. The computing device may separate the images into a direct view region and a reflected view region. After separation, the regions may be analyzed independently and/or combined with other regions, and the analyzed data may be stored. The regions may be analyzed to determine various vehicle characteristics, including, but not limited to, vehicle speed, license plate identification, vehicle occupancy, vehicle count, and vehicle type.

Abstract: Disclosed are methods and systems for creating a printer model which maps device dependent color space representations of reference colors to device independent color space representations of the reference colors for a direct marking color printer. According to an exemplary method, a plurality of printer models are initially generated, each printer model corresponding to a predetermined width associated with the cross-process direction of an image receiving surface.

Abstract: A printer operating method enables a controller to identify process direction errors in an optical imaging system. The method includes identifying a printhead roll error for each printhead in a plurality of printheads in a printer, moving each printhead by an amount that corrects the printhead roll error for the corresponding printhead, generating a plurality of dashes on media with the plurality of printheads as the media moves past the plurality of printheads, identifying a position for each dash in the process direction from image data of the plurality of dashes on the media, identifying a displacement in the process direction for each optical detector in a linear array of optical detectors used to generated the image data of the plurality of dashes, the displacement being identified with reference to the identified positions for the dashes, and operating the printer to compensate for the identified displacements of the optical detectors.

Abstract: A method compensates for changes in drop velocity of drops emitted by inkjets in a printhead of an ink jet imaging device. The method includes adjusting image data used to generate firing signals for an inkjet ejector in a printhead of an inkjet imaging device with an initial ink drop correction parameter, adjusting a portion of the adjusted image data with another ink drop correction parameter in response to the portion of the adjusted image data corresponding to a predetermined firing pattern mask, generating firing signals for the inkjet ejector from the adjusted image data, and transmitting the generated firing signals to the inkjet ejector in the printhead.

Abstract: A method compensates for changes in drop velocity of drops emitted by inkjets in a printhead of an ink jet imaging device. The method includes operating inkjet ejectors in a plurality of printheads to eject ink in a pattern of structured dashes on an image receiving member, the structured dashes corresponding to a predetermined image data pattern, generating image data corresponding to the pattern of structured dashes on the image receiving member, identifying a process direction correction parameter for each ejector in the plurality of printheads with reference to the generated image data, modifying image data to be printed by the plurality of printheads with reference to the process direction correction parameter identified for at least one of the ejectors, and operating the plurality of printheads with reference to the modified image data.