Computer Vision
Energy Project Engineering

Extraction of Approval Stamps from Engineering Drawings

Position-agnostic extraction
HSV colour-based isolation
Structured JSON output

The Challenge

Engineering doc controllers add IFR codes and revision comments freely anywhere in technical drawing documents. Regular expressions fail without fixed anchors — making automated extraction of approval stamps and engineering annotations impossible with rule-based approaches.

What We Built

A Computer Vision + OCR pipeline performs intelligent document manipulation regardless of annotation position. HSV pixel mask generation separates human annotations from the base drawing. OCR applied to segmented layers produces structured JSON output capturing every stamp and technical comment.

Operational Impact

Automated extraction of approval workflows previously blocked by visual document complexity. Full auditable digital record of engineering decisions and drastic reduction in delivery cycle bottlenecks.

Technology Used

Standards

Secure, accountable delivery.

Recognised standards for information security, quality management and responsible data protection.

ENS Alto certificationENS Alto
ISO/IEC 27001 certificationISO 27001
ISO 9001 certificationISO 9001
GDPR complianceGDPR
Contact

Talk to MCCM about your AI roadmap.

Tell us what you want to improve. We will help you shape a practical route from strategy to production.