Patents by Inventor Renee J. Jessome

Renee J. Jessome has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Part replacement predictions using convolutional neural networks
    Patent number: 11523004
    Abstract: An example of an apparatus including a communication interface to receive an image file is provided. The image file represents a scanned image of a output generated by a printing device. The apparatus further includes an identification engine to process the image file with a convolutional neural network model to identify a feature. The feature may be indicative of a potential failure. The apparatus also includes an image analysis engine to indicate a life expectancy of a part associated with the potential failure based on the feature. The image analysis engine uses the convolutional neural network model to determine life expectancy.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: December 6, 2022
    Assignees: Hewlett-Packard Development Company, L.P., Rochester Institute of Technology
    Inventors: Darrel D. Cherry, Renee J. Jessome, Richard E. Maggard, Daniel Siddall, Yeshwanth Raja, Eli Saber
  • Detecting streaks in printed documents using blocks
    Patent number: 11481995
    Abstract: In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: October 25, 2022
    Assignees: Hewlett-Packard Development Company, L.P., Purdue Research Foundation
    Inventors: Jan Allebach, Richard E. Maggard, Renee J. Jessome, Mark Q. Shaw, Runzhe Zhang
  • PART REPLACEMENT PREDICTIONS USING CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20210365311
    Abstract: An example of an apparatus including a communication interface to receive an image file is provided. The image file represents a scanned image of a output generated by a printing device. The apparatus further includes an identification engine to process the image file with a convolutional neural network model to identify a feature. The feature may be indicative of a potential failure. The apparatus also includes an image analysis engine to indicate a life expectancy of a part associated with the potential failure based on the feature. The image analysis engine uses the convolutional neural network model to determine life expectancy.
    Type: Application
    Filed: September 21, 2018
    Publication date: November 25, 2021
    Applicants: Hewlett-Packard Development Company, L.P., Rochester Institute of Technology
    Inventors: Darrel D. Cherry, Renee J. Jessome, Richard E. Maggard, Daniel Siddall, Yeshwanth Raja, Eli Saber
  • DETECTING STREAKS IN PRINTED DOCUMENTS USING BLOCKS
    Publication number: 20210326621
    Abstract: In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value.
    Type: Application
    Filed: January 11, 2019
    Publication date: October 21, 2021
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Jan Allebach, Richard E. Maggard, Renee J. Jessome, Mark Q. Shaw, Runzhe Zhang