VISUAL TESTING BASED ON MACHINE LEARNING AND AUTOMATED WORKFLOW

    公开(公告)号:US20220116680A1

    公开(公告)日:2022-04-14

    申请号:US17070186

    申请日:2020-10-14

    Inventor: Andrew Fakhry

    Abstract: An example method for visual testing of programmed display of content includes obtaining a workflow of test scenarios for visual testing of a display controlled by a set-top box (STB) device. The method also includes obtaining images that capture content displayed on the display, feeding the images to a trained machine learning model to detect display elements, and performing visual testing based on the detected display elements in accordance with visual expectations specified by the test scenarios.

    VISUAL TESTING ISSUE REPRODUCTION BASED ON COMMUNICATION OF AUTOMATED WORKFLOW

    公开(公告)号:US20220382667A1

    公开(公告)日:2022-12-01

    申请号:US17329933

    申请日:2021-05-25

    Abstract: An example method for visual testing and issue communication of programmed display of content includes obtaining a workflow of test scenarios for visual testing a display. The content displayed on the display is controlled by a set-top box (STB) device executing target instructions. The example method further includes identifying a visual testing issue associated with executing the test scenarios, and communicating the workflow and issue to a remote device for reproduction of the issue.

    VISUAL TESTING BASED ON MACHINE LEARNING AND AUTOMATED WORKFLOW

    公开(公告)号:US20230362439A1

    公开(公告)日:2023-11-09

    申请号:US18351410

    申请日:2023-07-12

    Inventor: Andrew Fakhry

    CPC classification number: H04N21/4425 H04N21/4424 G06N3/02

    Abstract: An example method for visual testing of programmed display of content includes obtaining a workflow of test scenarios for visual testing of a display controlled by a set-top box (STB) device. The method also includes obtaining images that capture content displayed on the display, feeding the images to a trained machine learning model to detect display elements, and performing visual testing based on the detected display elements in accordance with visual expectations specified by the test scenarios.

Patent Agency Ranking