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US Patent 11262979 Machine learning webpage accessibility testing tool

Patent 11262979 was granted and assigned to BANK OF AMERICA CORPORATION on March, 2022 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
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Current Assignee
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11262979
Patent Inventor Names
Yacine Arbani26
Paresh Deshmukh26
Date of Patent
March 1, 2022
Patent Application Number
16796182
Date Filed
February 20, 2020
Patent Citations
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US Patent 10169188 Runtime evaluation of user interfaces for accessibility compliance
1
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US Patent 10324596 Guided remediation of accessibility and usability problems in user interfaces
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US Patent 10241808 Determining test application effectiveness
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US Patent 10394579 Automatically fixing inaccessible widgets during mobile application execution
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US Patent 10423709 Systems, devices, and methods for automated and programmatic creation and deployment of remediations to non-compliant web pages or user interfaces
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US Patent 10438170 Blockchain for program code credit and programmer contribution in a collective
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US Patent 10614156 System and method for using a dynamic webpage editor
10
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US Patent 10762280 Systems, devices, and methods for facilitating website remediation and promoting assistive technologies
11
Patent Citations Received
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12
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US Patent 11461430 Systems and methods for diagnosing quality issues in websites
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US Patent 11468058 Schema aggregating and querying system
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US Patent 11636170 Normalizing uniform resource locators
17
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US Patent 11630649 Intelligent application library management
18
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US Patent 11836439 Website plugin and framework for content management services
19
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US Patent 11886530 Systems and methods for website segmentation and quality analysis
20
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US Patent 11886529 Systems and methods for diagnosing quality issues in websites
21
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Patent Primary Examiner
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Jeremy L Stanley
Patent abstract

An apparatus includes a memory and a hardware processor. The processor receives a voice signal associated with an element of a website. Navigating to the element includes performing a user interaction with a browser configured to display the website. In response to receiving the voice signal, the processor converts the voice signal to an input command that simulates the user interaction and executes the input command. The processor then monitors a behavior of the browser and applies a machine learning algorithm to the behavior to determine whether the website is compliant with a set of rules. The machine learning algorithm determines whether the website is compliant based at least in part on the voice signal and the browser behavior. In response to determining that the website is not compliant with the set of rules, the processor records a violation in an error log.

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