ANALYSIS AND AUGMENTATION OF DISPLAY DATA
    1.
    发明公开

    公开(公告)号:US20240265891A1

    公开(公告)日:2024-08-08

    申请号:US18559744

    申请日:2021-06-11

    申请人: Brainlab AG

    摘要: A display data processing device (100) for analysing and/or augmenting display data is provided. The device comprises an input interface (102) configured to receive input display data from an image rendering device (300), and an output interface (104) configured to transmit output display data to at least one display (400) for displaying the output display data at the at least one display (400), wherein the input display data includes user interface data indicative of a graphical user interface (410) displayable at the at least one display. The device further includes a processing circuitry (106) including one or more processors (108), wherein the processing circuitry is configured to determine, based on analysing the input display data, augmentation data for augmenting the input display data, determine, based on analysing the input display data, at least one augmentation position for displaying the augmentation data at the least one display (400), and generate the output display data based on supplementing the input display data with the determined augmentation data and the determined at least one augmentation position.

    VISION-BASED SYSTEM AND METHOD FOR PROVIDING INVENTORY DATA COLLECTION AND MANAGEMENT

    公开(公告)号:US20240078505A1

    公开(公告)日:2024-03-07

    申请号:US17903114

    申请日:2022-09-06

    摘要: A system and method determines from data collected by one or more data collection elements of a computing device a plurality of discrete product storage locations within a product storage system. Each of the plurality of plurality of discrete product storage locations is caused to be associated with at least one cell of a grid comprised of a plurality of cells. A graphical user interface is displayed in a display of the computing device, the graphical user interface including the grid overlayed upon an image of the product storage system. A user may then interact with the graphical user interface to select a one or more of the plurality of cells of the grid and cause product related information captured via use of the one more data collection elements of the computing device to be linked in a memory storage associated with the computing device to the one of the plurality of discrete product storage locations that was associated with the selected at least one cell of the grid.

    Automated indexing and extraction of multiple information fields in digital records

    公开(公告)号:US11893048B1

    公开(公告)日:2024-02-06

    申请号:US18134023

    申请日:2023-04-12

    申请人: Velocity EHS Inc.

    摘要: Systems and Methods are disclosed herein for automatically indexing multiple informational fields in digital data records, the method comprising: identifying, based on rules defining target information fields, for each target field of the target information fields, at least one page in a digital data record comprising content related to the target field; extracting, for each target field, from the identified at least one page, at least one portion of text comprising the content; feeding, for each target field, a pre-processed version of the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field; determining, for each target field, via the ML model trained on the target field, at least one candidate text comprising the content; and extracting, for each target field, the at least one candidate text.

    SYSTEMS AND METHODS FOR REMEDIATING CHANGES IN ITEM LISTING DATA

    公开(公告)号:US20240037497A1

    公开(公告)日:2024-02-01

    申请号:US18226530

    申请日:2023-07-26

    摘要: The disclosed technology provides for implementing remediations to item listing data in an online retail environment. A method can include receiving, by a computing system from a data management system, a topic for a change in item listing data, retrieving, from a data store, at least one model trained to (i) identify changes in other item listing data, (ii) determine at least one suggested remediation to the changes to generate accurate item listing data, and (iii) determine at least one confidence metric indicating a likelihood that the at least one suggested remediation will result in generating the accurate item listing data, inputting the item listing data to the at least one model, receiving output from indicating at least one suggestion to remediate the item listing data, determining that the at least one suggestion satisfies auto-remediation criteria, and auto-remediating the item listing data with the at least one suggestion.