COMPUTER VISION TO DEPICT USER INPUT TO ONE DEVICE AT ANOTHER DEVICE

    公开(公告)号:US20240231564A1

    公开(公告)日:2024-07-11

    申请号:US18152691

    申请日:2023-01-10

    Abstract: In one aspect, a first device includes a processor and storage. The storage includes instructions executable by the processor to present video at the first device, where the video is generated at a second device. The instructions are also executable to determine identifying information for a first graphical object selected at the second device, where the first graphical object is related to the video. Based on the identifying information, the instructions are executable to execute computer vision to identify a second graphical object that matches the first graphical object to at least a threshold level of confidence. The second graphical object is presented on a display of the first device. Based on identification of the second graphical object, the instructions are executable to depict, on the display via the second graphical object, the selection at the second device of the first graphical object.

    SCALED-DOWN LOAD TEST MODELS FOR TESTING REAL-WORLD LOADS

    公开(公告)号:US20230153222A1

    公开(公告)日:2023-05-18

    申请号:US17528055

    申请日:2021-11-16

    CPC classification number: G06F11/3457 G06N20/20

    Abstract: Methods, systems, apparatus, and program products that can generate scaled-down load test models for testing real-world loads are disclosed herein. One method includes providing a test environment of a system including multiple nodes. The test environment includes virtual nodes corresponding to the system nodes and each virtual node functions under a virtual load similar to each corresponding node functioning under a real-world load. The method further includes utilizing a machine learning algorithm to repeatedly apply at least one virtual load to the virtual node(s) in the test environment until a scaled-down load test model mimicking the system under a pre-defined real-world load is generated. Here, the virtual load(s) applied to the virtual node(s) is/are comparatively smaller relative to each of corresponding real-world loads for the node(s) defining the pre-defined real-world load. Systems, apparatus, and program products that include and/or perform the methods are also disclosed herein.

    COMPUTER VISION TO DETERMINE WHEN VIDEO CONFERENCE PARTICIPANT IS OFF TASK

    公开(公告)号:US20250029385A1

    公开(公告)日:2025-01-23

    申请号:US18353668

    申请日:2023-07-17

    Abstract: In one aspect, a device includes a processor assembly and storage accessible to the processor assembly. The storage includes instructions executable by the processor assembly to use one or more content recognition/computer vision algorithms to determine whether first and second images from respective client devices of first and second video conference participants indicate the first and second video conference participants being engaged in a same task. Based on a determination that the first and second images do not indicate the first and second video conference participants being engaged in the same task, the instructions are executable to present an electronic notification indicating that the first and second video conference participants are not engaged in the same task. For example, the electronic notification may be presented at one of the participants' devices and/or the device of a separate conference organizer.

    DETERMINING INTRODUCTION POINT OF APPLICATION REGRESSIONS THROUGH SCREENSHOT ANALYSIS

    公开(公告)号:US20250053417A1

    公开(公告)日:2025-02-13

    申请号:US18447850

    申请日:2023-08-10

    Abstract: A system for software testing includes a storage device to store screenshots of a user application captured during execution of the user application. The system includes a computer vision device coupled to the storage device. The computer vision device can receive a description of an assertion to be detected within the screenshots. The computer vision device can scan the screenshots to detect presence of the assertion and provide an output indicating presence of the assertion. The screenshot can be stored in a way to associate the screenshot with a software build version or date to indicate a point at which the assertion was introduced into relevant software source code.

    CONTROLLING A USER INTERFACE USING NATURAL LANGUAGE PROCESSING AND COMPUTER VISION

    公开(公告)号:US20230410800A1

    公开(公告)日:2023-12-21

    申请号:US17842074

    申请日:2022-06-16

    CPC classification number: G10L15/22 G10L15/02 G06F3/0484 G10L2015/223

    Abstract: A user provides an audible command and an audible description of an element on a computer graphical user interface (GUI) into a natural language processor (NLP). The NLP extracts from the audible description features of the element on the computer GUI. A screenshot of the computer GUI is transmitted to a computer vision platform, and the computer vision platform provides a map of features of the GUI elements that are displayed on the computer GUI. The features of the element on the computer GUI are compared with the features of the plurality of GUI elements on the map. A match between the features of the element on the computer GUI and the features of the GUI elements on the map is identified, and the audible command is executed in connection with the matched GUI element.

    GRANTING APPLICATION PRIVILEGES
    7.
    发明申请

    公开(公告)号:US20210117558A1

    公开(公告)日:2021-04-22

    申请号:US16659922

    申请日:2019-10-22

    Abstract: For granting administrator privileges, a processor detects satisfaction of an intervention criteria for an application that is in cooperative use by a plurality of users. None of the plurality of users is empowered with administrator privileges. In response to satisfying the intervention criteria, the processor grants the administrator privileges to a designated user of the plurality of users.

Patent Agency Ranking