Visual Control System for Legacy Application Interface
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Solution Overview
Problem
Legacy computer control applications often require costly and time-intensive modifications to interface with newer visual control applications, as existing methods, such as API development, are cumbersome and inefficient.
Innovation Solution
A visual control system that captures and records user movements, including hand gestures and voice commands, to generate a series of movements that can be invoked to control legacy applications without modifying their code or developing specific APIs, allowing for efficient interaction between different legacy and visual control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If API development and modification are used to interface legacy applications with visual control applications, then interface functionality is achieved, but development cost and time increase significantly
Solution Approach 1:
The system captures and records the visual appearance and interaction patterns of legacy application interfaces, creating a digital replica that can be controlled through visual commands. This copying approach allows the new visual control system to understand and control the legacy interface without requiring modifications to the original application or development of complex APIs.
Solution Approach 2:
The patent introduces an intermediary visual control system that sits between the user and the legacy application. This intermediary captures visual information from the legacy interface, processes it through machine learning models, and translates it into appropriate control commands, thereby enabling communication without direct integration.
2Adaptability or versatility
If API development and modification are used to interface legacy applications with visual control applications, then interface functionality is achieved, but development cost increases
Solution Approach 1:
Instead of investing resources in custom API development and application modification, the system creates visual copies and representations of the legacy interface. This approach significantly reduces development costs by using automated visual recognition and machine learning rather than manual programming and integration work.
Solution Approach 2:
The visual control system enables the legacy application to be controlled through its own visual interface without requiring external API integration. The system serves itself by capturing and interpreting its own visual output, eliminating the need for expensive custom integration work.
3Ease of operation
If visual control is implemented without modifying legacy applications, then ease of operation improves, but control precision may be reduced
Solution Approach 1:
The system continuously captures visual feedback from the legacy application interface and uses machine learning models to interpret this feedback with high precision. This closed-loop approach ensures that visual controls maintain accurate control by constantly monitoring and adjusting based on the current state of the interface.
Solution Approach 2:
The patent employs machine learning models that can dynamically adjust recognition parameters and control thresholds based on the specific legacy application being controlled. This adaptability maintains high control precision across different applications while preserving the simplicity of visual interaction.
Data Source
AI summary
A method is provided for controlling a legacy application. The method includes visually capturing a series of movements. The method also includes recording the series of movements at a first time as a recorded series of movements. Moreover, the recorded series of movements includes at least a command that is configured to control a legacy application. Furthermore, the method includes invoking the recorded series of movements at a second time.