Computer Vision Guided Graphical Interface Automation
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Solution Overview
Problem
Current systems lack the ability to automate human-computer tasks effectively by observing human workflow through images and deriving workflows based on human inputs, necessitating improvements in guiding users on graphical interfaces using computer vision.
Innovation Solution
A computerized method that utilizes computer vision to observe user touch interest areas, links user inputs with step-by-step guides, automates mobile workflows with a robotic touch arm, and employs machine learning for real-time workflow guidance, incorporating algorithms for pixel normalization and confidence boosting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If computer vision is used to observe and derive workflows from human inputs, then automation capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces computer vision algorithms as an intermediary between human inputs and workflow automation. The system captures screenshots, processes them through image recognition algorithms, and derives workflow steps automatically. This intermediary layer enables automation of complex tasks by translating visual information into structured workflow data without requiring direct programming of each step.
Solution Approach 2:
The patent replaces manual workflow configuration and observation with automated computer vision systems. Instead of manually tracking human interactions or programming each workflow step, the system uses image recognition and machine learning to automatically observe, interpret, and derive workflows from screenshots and user interactions, substituting mechanical observation methods with intelligent automation.
2Ease of operation
If real-time workflow guidance is provided through computer vision, then user interaction quality is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-processing and analyzing screenshots in real-time as users interact with the interface. The system continuously captures and processes visual information during user operations, deriving workflow steps and providing guidance proactively rather than reactively. This allows the system to anticipate user needs and provide timely assistance without significant delays.
Solution Approach 2:
The patent maintains continuous workflow observation and analysis through persistent computer vision processing. The system continuously monitors user interactions, processes screenshots in real-time, and provides ongoing guidance throughout the workflow execution. This continuous processing ensures timely user assistance while optimizing performance to minimize processing delays.
Data Source
AI summary
A computerized method useful for guiding a user on a graphical interface with computer vision includes the step of providing an ability to use computer vision to observe an area of user touch interest at a create time. The method includes the step of providing an ability to location the area at a play back time. The method includes the step of linking a user input click with real step-by-step guide via the graphical interface. The method includes the step of automating a mobile workflow with a computer vision functionality and a robotic touch arm.