Computer Vision & ML0.2 cm measurement accuracy
MagicQC
A computer-vision quality-control platform that measures garments to 0.2 cm and turns inspections into live analytics.
magicqc.online
- Client
- MagicQC
- Industry
- Garment manufacturing / QC
- Year
- 2025
- Discipline
- Computer Vision & ML
OpenCVPythonWindows EXELaravelPHPMySQL
The problem
Manual garment measurement is slow, subjective and inconsistent across operators. QC managers had no objective record of pass/fail trends or where defects clustered.
Our approach
We built a desktop computer-vision app that measures garments to 0.2 cm accuracy, paired with a cloud platform for brand, operator and purchase-order management. A dedicated analytics dashboard surfaces piece-level QC performance and compliance insights from every inspection.
What we delivered
- 0.2 cm dimensional measurement via OpenCV pipeline
- Operator, brand and purchase-order management
- Analytics platform: pass/fail rates, QC history, operator usage
- Windows desktop EXE bridged to a Laravel backend
Full page
magicqc.online
QC Platform
Analysis Platform
near-zero error
“They didn't just build our website, they built our entire computer-vision size-measurement system from the ground up. Our manufacturing clients now measure garments in seconds with near-zero error. MagicQC wouldn't exist without them.”
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