AI

Case Study · 2023

VisionDetect Research

Research-backed ML system detecting manufacturing defects from camera feeds with low false positives.

Research Machine Learning AI
VisionDetect Research

Problem

Manual QA missed subtle defects and could not keep pace with production lines.

Solution

Trained CNN models, optimized inference, and built a review console for operators.

Architecture

PyTorch training, ONNX runtime, Python services, React review UI.

Result

Reached 96.4% precision and reduced inspection bottlenecks significantly.

Key Features

  • Image pipeline
  • Model training UI
  • Operator review
  • Threshold tuning
  • Export metrics