Factory Automation & Computer Vision
Led the development of a factory automation system for a major IDM's Southeast Asian facility. The platform integrates computer vision models for automated defect detection across Die Bonding, Clip Bonding, and Wire Bonding equipment, with a real-time analytics dashboard for monitoring and alarming.
Tech Stack
The Problem
Semiconductor manufacturing facilities relied heavily on manual inspection of bonding processes, which was time-consuming, error-prone, and couldn't keep pace with production line speeds.
The Solution
Architected a Python-based solution integrating YOLOv5 and OpenCV for defect detection with real-time data analytics pipelines from bonding equipment. Built dashboards for operators and engineers to monitor defect rates, equipment health, and production KPIs in real-time.
The Impact
Achieved 80% reduction in manual inspection and alarm handling time. Improved defect detection accuracy and enabled predictive maintenance capabilities across the production line.