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Computer Vision

Production-oriented prototype

Manufacturing Quality Control Vision

Problem

Surface defects on a production line are hard to catch consistently by eye.

System

A defect-detection workflow using YOLOv8 on production-line imagery, designed for real-time inference at line speed.

My contribution

Prepared the defect dataset, trained the detector, and tuned inference for latency.

System architecture

  1. Line camera
  2. Preprocessing
  3. YOLOv8 detection
  4. Defect alert

Technical focus

  • Object detection
  • Real-time inference
  • Model optimization

Technology stack

  • PyTorch
  • YOLOv8
  • OpenCV

Data source

Dataset and data-collection write-up is being prepared.

Data pipeline

Ingestion and preprocessing write-up is being prepared.

Model or LLM workflow

Model and workflow write-up is being prepared.

Evaluation and results

Evaluation setup and results write-up is being prepared.

Challenges and engineering decisions

Key engineering decisions write-up is being prepared.