Invention Grant
- Patent Title: Machine learned retraining for detection of user interface controls via variance parameters
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Application No.: US17534443Application Date: 2021-11-23
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Publication No.: US11886892B2Publication Date: 2024-01-30
- Inventor: Sudhir Kumar Singh , Virinchipuram J Anand
- Applicant: Automation Anywhere, Inc.
- Applicant Address: US CA San Jose
- Assignee: Automation Anywhere, Inc.
- Current Assignee: Automation Anywhere, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06F9/451
- IPC: G06F9/451 ; G06F3/0481

Abstract:
Computerized detection of one or more user interface objects is performed by processing an image file containing one or more user interface objects of a user interface generated by an application program. Sub-control objects can be detected in the image file, where each sub-control object can form a portion of a user interface object that receives user input. Extraneous sub-control objects can be detected. Sub-control objects that overlap with or that are within a predetermined vicinity of an identified set of sub-control objects can be removed. Sub-control objects in the identified set of sub-control objects can be correlated to combine one or more of the sub-control objects in the identified set of sub-control objects to generate control objects that correspond to certain of the user interface objects of the user interface generated by the application program.
Public/Granted literature
- US20220083354A1 MACHINE LEARNED RETRAINING FOR DETECTION OF USER INTERFACE CONTROLS VIA VARIANCE PARAMETERS Public/Granted day:2022-03-17
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