Case Study
IoT Quality Platform: 67% Defect Reduction for European OEM
Automotive · Europe
The Challenge
A European OEM manufacturing 180,000 vehicles annually needed real-time quality defect detection across 3 production lines with AI-driven root cause analysis.
The Solution
NINtec deployed an IoT sensor network across production lines, feeding a computer vision system trained on 50,000+ labeled defect images. ML models predict defect probability from upstream process parameters with 94% accuracy.
Results
67%
Defect Reduction
₹2.8M
Annual Savings
94%
Prediction Accuracy
23%
Less Line Stoppages
Technology Stack
PythonPyTorchOpenCVAWS IoTGrafanaPostgreSQL