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US Patent 11792482 Visual testing based on machine learning and automated workflow

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11792482
Patent Inventor Names
Andrew Fakhry
Date of Patent
October 17, 2023
Patent Application Number
17070186
Date Filed
October 14, 2020
Patent Citations
‌
US Patent 10574980 Determination of metrics describing quality of video data by extracting characteristics from the video data when communicated from a video source to a display device
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US Patent 11521400 Systems and methods for detecting logos in a video stream
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US Patent 7228524 Method and system for analysis of software requirements
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US Patent 7313564 Web-interactive software testing management method and computer system including an integrated test case authoring tool
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US Patent 8086902 Method and apparatus for testing media player software applications
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US Patent 8856594 Method and system for an end-to-end solution in a test automation framework
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US Patent 9003368 Program for test case generation based on use case diagram and method for test case generation using the same
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US Patent 9032373 End to end testing automation and parallel test execution
...
Patent Primary Examiner
‌
James R Sheleheda
CPC Code
‌
H04N 21/4425
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H04N 21/4424
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G06N 20/00
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G06N 3/02
Patent 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.

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