PCS Quality Control System

Real-time quality monitoring system boosting yield rates from 83% to 91% through automated defect detection.

Full Stack Developer
Jun 2019 - Feb 2021
PythonReal-time AnalyticsIndustrial IoT

Overview

A computer vision and sensor-based quality control system for a Process Control System (PCS) manufacturing line. The system utilizes real-time analytics to detect anomalies in product dimensions and temperature profiles during the casting process.

Challenges

  • Processing image and sensor data simultaneously in near real-time.
  • Deploying updates to edge devices in an air-gapped factory environment.
  • Minimizing false positives to prevent unnecessary line stoppages.

Results

  • Increased production yield rates from 83% to 91% within 6 months.
  • Reduced waste material costs by 15%.
  • Enabled remote monitoring of quality metrics for off-site engineers.