Display Chip Inspection System — Samsung SDI

High precision inspection · Defect localization · Industrial QA

Overview

Inspection system for display chips with stringent accuracy and robustness requirements. Vision-based pipeline for chip inspection and defect localization in manufacturing environment.

🖥️ Display Tech 🔍 Precision Inspection Python OpenCV PyTorch

Problem

  • Display chips require extremely high inspection precision.
  • Various defect types across chip surface and edges.
  • Need for stable performance across manufacturing conditions.
  • Stringent false positive/negative rate requirements.

Solution

  • Vision pipeline for chip inspection and defect localization.
  • Optimized model inference and stability across conditions.
  • Robust feature extraction for consistent detection.
  • Production-validated performance metrics.

My Role

  • Designed vision pipeline for chip inspection and defect localization.
  • Optimized model inference and stability across conditions.
  • Validated system against Samsung SDI quality requirements.

Implementation

Language: Python

Libraries:

OpenCV PyTorch

Results Gallery

Training and evaluation demonstrations are omitted due to data confidentiality.

End Result

  • Reliable inspection workflow suitable for industrial QA.
  • High precision meeting Samsung SDI requirements.
  • Stable performance in production environment.