AI & Intelligent Systems
Production Line Vision Inspection, Lahore
A computer vision pipeline for detecting defects on a moving production line.
- Computer Vision
- YOLO
- FastAPI
- Python
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Manual spot-checking on a fast line catches only a fraction of surface defects, and what it does catch is inconsistent between shifts.
The work covered dataset preparation and annotation, training and evaluating a detection model, and wrapping it in an inference service with a review screen so operators could confirm or reject flags. Results were logged so supervisors could see patterns over a shift rather than isolated events.
What we built
- Dataset preparation, annotation and augmentation
- Detection model training and evaluation
- Inference service with a simple review interface
- Result logging for supervisor review
- Deployment runbook and handover session
Tell us what you're building.
We reply within 24 hours with a clear scope, fixed deliverables and a realistic timeline.
