AOI System for iPhone Camera-Hole Inspection

Hybrid segmentation · Small and large defects · Sidewall inspection

Overview

Camera-hole sidewall defect inspection using hybrid segmentation pipeline to handle diverse defect scales. System detects both small and large defects with high accuracy under production constraints.

🔬 Hybrid Segmentation 👁️ AOI Python PyTorch OpenCV

Problem

  • Diverse defect scales require flexible detection approach.
  • Sidewall inspection presents challenging viewing angles.
  • Reflections and surface variations complicate detection.
  • Need for high accuracy in production environment.

Solution

  • Hybrid segmentation pipeline for small and large defects.
  • Optimized model inference under production constraints.
  • Improved generalization across variations and reflections.
  • Robust post-processing for stable defect decisions.

My Role

  • Developed hybrid segmentation pipeline for small and large defects.
  • Optimized model inference under production constraints.
  • Improved generalization across variations and reflections.

Implementation

Language: Python

Libraries:

PyTorch OpenCV

Results Gallery

Training and evaluation demonstrations are omitted due to data confidentiality.

End Result

  • High-accuracy inspection suitable for real-time line deployment.
  • Robust handling of diverse defect scales and surface variations.