Functional Drift-Gauge Screening Study
A functional gauge study establishing when a local drift screen is valid under a specific material-condition boundary.
A local web application for extracting PDF drawing text, mapping GD&T-related tokens, supporting manual correction, and exporting inspection-oriented data.
ENGINEERING VALUE
Shows how software can reduce inspection-document preparation while preserving a human verification step.
PROJECT SCOPE
Heuristic drawing-tokenization prototype; OCR partly scaffolded
Explore the project checks ↗Engineering concept illustration.
01 / THE PROBLEM
Inspection planning often requires repeated transcription of drawing callouts into structured reports.
02 / CONSTRAINTS
03 / ENGINEERING APPROACH
Prefer deterministic vector text when present, provide explicit manual correction, and treat OCR as a separate lower-confidence route.
PDF page rendering; Vector text extraction; Token mapping; Manual correction; Balloon/report workflow; CSV/JSON/XLSX-style export.
04 / DESIGN & IMPLEMENTATION
The FastAPI and browser workflow combines drawing-text processing, token organization and font mapping.
05 / VALIDATION
Human review remains part of the workflow. Extraction accuracy needs evaluation against representative vector drawings and scanned drawings; the OCR path is still partly scaffolded.
06 / OUTCOME
Shows how software can reduce inspection-document preparation while preserving a human verification step.
THE ENGINEERING PRINCIPLE
Reliable engineering automation needs input checks, predictable output, clear diagnostics and a way to verify that quantities and references were preserved. Saving clicks alone is not sufficient evidence of correctness.
What would you test when the input is incomplete, duplicated or outside the tool’s supported scope?
LET’S BUILD SOMETHING THAT WORKS
Considering a role in mechanical design, manufacturing methods,
fixture design, or estimation? Let’s connect.