← Adarsh Johny
Computer Vision Pipeline· MSc thesis, graded 4 of 5

Warehouse CAD to SQL

Consafe Logistics Group, Lund, Sweden · Feb – Jun 2025

Warehouse CAD layouts read by computer vision and written out as SQL database structures.

Warehouse CAD to SQLComputer Vision Pipeline · visuals coming soon

The Master’s thesis: Automated SQL Command Generation from Digital Diagrams Using Computer Vision Techniques, written with Consafe Logistics Group in Lund and graded 4 on a 3 to 5 scale.

A warehouse layout arrives as a CAD drawing and leaves as a relational database. YOLO models detect the layout elements in the drawing, and the pipeline turns what they find into SQL structures ready for a warehouse management system to consume.

The dataset was built by hand along the way: annotated in CVAT, augmented with Albumentations, and trained on an HPC cluster scheduled by Slurm.

What it does
  • End to end: image ingestion to structured relational output, production-ready.
  • YOLO object detection over warehouse CAD layouts.
  • Dataset annotated in CVAT and augmented with Albumentations.
  • Trained on an HPC cluster under the Slurm workload manager.
Stack
YOLOPythonComputer VisionCVATAlbumentationsNumPySlurmSQL
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