Home/Case Studies/IntelliDraw AI: Engineering Drawing Automation
ManufacturingSolution

IntelliDraw AI: Engineering Drawing Automation

Automates ingestion, OCR extraction, quality validation and enhancement of engineering drawings at scale.

Solution
Machine Learning
Industry
Manufacturing
Company Size

Solution Overview

industry
Manufacturing
solution
Machine Learning
technologies
Azure AI Document Intelligence, Azure AI Vision, Azure Functions, Azure Logic Apps, Azure Blob Storage, Azure AI Search

The Challenge

Engineering organizations hold tens of thousands of legacy drawings as scanned TIFFs and PDFs, with title-block information, revision status and drawing numbers locked in images rather than in any system.

  • 1Tens of thousands of drawings held as images with no machine-readable metadata
  • 2Manual routing, indexing and title-block capture, slow and error-prone
  • 3Revision status misidentified, risking work against superseded drawings

Our Approach

CloudGate's IntelliDraw AI automatically ingests and routes drawing files, extracts title-block fields, revision tables and drawing numbers using custom-trained OCR tuned for engineering documents, scores each drawing for quality and enhances the image where needed.

  • Smart ingestion and event-driven routing of TIFF, PDF and DWG-derived drawings
  • Custom OCR for title blocks, revision tables, drawing numbers and BOM callouts
  • Automatic quality scoring with deskew, denoise and contrast enhancement

Typical Outcomes

100%
AUTOMATED ROUTING AND CLASSIFICATION
90%+
METADATA EXTRACTION ACCURACY
1,000+
DRAWINGS PROCESSED IN MINUTES

Typical outcomes for this solution pattern, not the results of a named client engagement.

Technologies Used

Azure AI Document IntelligenceAzure AI VisionAzure FunctionsAzure Logic AppsAzure Blob StorageAzure AI Search
Full architecture and data flow in the Data & AI Catalog

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