Workflow Diagram Conversion Using Shape and Line Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional workflow platforms require manual and tedious processes to integrate human-drawn workflow diagrams, involving drag-and-drop interfaces or DSLs, which consume time and resources.
Innovation Solution
A workflow platform that automatically converts a human-drawn workflow diagram into a structured workflow diagram and file by detecting and refining shapes and lines using image recognition algorithms, establishing relationships, and generating a structured workflow file in a configuration format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual drag-and-drop interfaces or DSLs are used to integrate human-drawn workflow diagrams, then the workflow platform can process the diagrams, but the process consumes significant time and resources
Solution Approach 1:
The patent replaces the manual mechanical process of drag-and-drop interface operations with an automated image recognition system. The system uses computer vision algorithms to automatically detect shapes, lines, and relationships in uploaded workflow diagram images, converting them into structured workflow data without requiring manual user interactions.
Solution Approach 2:
The patent creates a digital copy of the visual workflow diagram through image processing. The system uploads an image of the handwritten or drawn workflow diagram, processes it through recognition algorithms to extract structural information, and generates a corresponding structured workflow representation that can be executed by the platform.
2Ease of operation
If manual integration processes are used, then users can control the workflow diagram integration, but the process is tedious and resource-intensive
Solution Approach 1:
The system performs self-service by automatically processing uploaded workflow diagram images without requiring user intervention in the integration process. The image recognition algorithms autonomously detect shapes, identify relationships, and generate structured workflow data, eliminating the need for users to manually manipulate elements through complex interfaces.
3Productivity
If image recognition algorithms are used to automatically convert diagrams, then time and resources are saved, but the system must handle image processing complexity
Solution Approach 1:
The patent segments the image processing task into distinct components: shape detection, line detection, relationship identification, and structured data generation. Each component is handled by specialized algorithms that focus on specific aspects of the workflow diagram, making the overall complex process more manageable and accurate.
Data Source
AI summary
In accordance with techniques for image to structured workflow diagram conversion, an image of a human-drawn workflow diagram is received by a workflow platform. Using one or more image recognition algorithms, the workflow platform detects shapes and lines in the human-drawn workflow diagram, and in one or more implementations, the workflow platform extends the detected lines. Relationships between the shapes are determined based on relative positionings of the extended lines with respect to the shapes. The workflow platform is configured to generate a structured workflow diagram for display in a user interface, and the structured workflow diagram includes compute nodes representing the shapes that are connected by generated lines representing the relationships. In addition, a structured workflow file is generated representing the structured workflow diagram.