Kyocera Document Solutions Inc.

Christian Olmstead Holmes

Takashi Oguma

Dai Shigenobu

Hiroshi Manabe

Allan Sahagun

Hooman Majidzadeh Rezvani

Sang Yoon Lee

Andrii Matiukhov

Charles Henze

Automatic document classification using machine learning may involve receiving inputs that assign documents to classifiers, which define document classification rules for a classification model. The computing device may train the classification model using a machine learning technique that assigns each document of a second set of documents to destinations based on the document classification rules. The computing device may also receive a template design for each destination that specifies metadata to extract for a document type corresponding to documents assigned to the destination. The computing device may subsequently classifying a particular document using the classification model, which may involve assigning the particular document to a given destination of the plurality of destinations based on the document classification rules, and exporting metadata from the particular document using the template design associated with the given destination.

Automatic document classification using machine learning

System and method relating generally to an electronic device are described. In such a method, content is accessed by the electronic device to display the accessed content on at least a portion of a screen. At least one original dimension of the accessed content is determined to exceed at least one threshold dimension corresponding thereto in order to display the accessed content with the at least one original dimension on at least the portion of the screen. Responsive to a determination that the at least one original dimension exceeds the at least one threshold dimension, a subset of the accessed content is obtained with subset dimensions thereof each less than or equal to corresponding display region dimensions including the at least one threshold dimension to display the subset on at least the portion of the screen. The subset is displayed on at least the portion of the screen.

Image handling to select a subject of an image to display and conceal a remainder of the image

Systems and methods for displaying video of an output tray of a printing device are provided. An example method may include a sensor of a printing device detecting motion of a user in an output tray of the printing device. In response to the detected motion, the method may also include activating a video camera of the printing device, wherein the video camera is configured to capture at least an area of the output tray encompassing a reproduced document. Still further, the method may include a display of the printing device displaying live video of the area of the output tray while a user manipulates and retrieves a reproduced document.

Video display of a printing device output tray

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Oakland, CA, United States of America

Christian Olmstead Holmes