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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 25·5 min read
FlowExtract: Procedural Knowledge Extraction from Maintenance Flowcharts
TL;DR
FlowExtract is a novel pipeline designed to extract procedural knowledge from maintenance flowcharts, achieving high accuracy in node detection and edge extraction. It significantly outperforms existing vision-language models, providing a practical solution for organizations to access and query maintenance procedures.
✦ Why It Matters
Implement FlowExtract to convert your maintenance flowcharts into accessible, queryable knowledge representations today.
Key Takeaways
- Utilize FlowExtract to digitize maintenance flowcharts effectively.
- Leverage YOLOv8 for accurate node detection in diagrams.
- Implement EasyOCR for efficient text extraction from flowcharts.
- Enhance asset management by creating queryable procedural knowledge.
How It Works
FlowExtract separates the tasks of element detection and connectivity reconstruction. It uses YOLOv8 to identify nodes in flowcharts and EasyOCR to extract associated text.
For edge detection, a novel method analyzes the orientation of arrowheads and traces the lines connecting nodes, ensuring accurate representation of the flowchart's structure.