Invention Grant
- Patent Title: Training an artificial intelligence / machine learning model to recognize applications, screens, and user interface elements using computer vision
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Application No.: US17070108Application Date: 2020-10-14
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Publication No.: US11782733B2Publication Date: 2023-10-10
- Inventor: Prabhdeep Singh
- Applicant: UiPath, Inc.
- Applicant Address: US NY New York
- Assignee: UiPath, Inc.
- Current Assignee: UiPath, Inc.
- Current Assignee Address: US NY New York
- Agency: LeonardPatel PC
- Agent Michael A. Leonard, II; Sheetal S. Patel
- Main IPC: G06F9/451
- IPC: G06F9/451 ; G06N20/00 ; G06K9/00 ; G06K9/62 ; G06V20/40 ; G06F18/40 ; G06F18/214 ; G06V30/10

Abstract:
Techniques for training an artificial intelligence (AI)/machine learning (ML) model to recognize applications, screens, and UI elements using computer vision (CV) and to recognize user interactions with the applications, screens, and UI elements. Optical character recognition (OCR) may also be used to assist in training the AI/ML model. Training of the AI/ML model may be performed without other system inputs such as system-level information (e.g., key presses, mouse clicks, locations, operating system operations, etc.) or application-level information (e.g., information from an application programming interface (API) from a software application executing on a computing system), or the training of the AI/ML model may be supplemented by other information, such as browser history, heat maps, file information, currently running applications and locations, system level and/or application-level information, etc.
Public/Granted literature
Information query