Manufacturer Detects 99.2% of Defects with Computer Vision Quality Inspection
Deploying AI-powered visual inspection on Azure across high-speed production lines, replacing manual QC with consistent, real-time detection.
Project Overview
The Challenge
Manual visual inspection couldn't keep up with line speeds, allowing defects to reach customers and triggering costly recalls.
- 1Manual inspection unable to keep up with line speeds
- 2Inconsistent quality decisions across shifts and inspectors
- 3Costly customer-detected defects and recall events
Our Solution
CloudGate deployed AI-based visual inspection on Azure IoT Edge at line speed, with continuous model retraining as new defect types appeared.
- Custom defect detection models trained on labeled production imagery
- Edge inference at line speed via Azure IoT Edge
- Continuous model retraining and drift monitoring
The Results
- Eliminated recall events in the lines where the system is deployed
Technologies Used
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