/ M.1
Automated Quality Inspection
Real-time defect detection on production lines using computer vision — surface defects, assembly errors, dimensional checks.
// Details
- Surface defect detection (scratches, dents, cracks)
- Dimensional accuracy verification
- Assembly completeness checks
- Sub-millisecond inference on edge
// Output formats
GigE VisionCamera LinkONNXJSON
/ M.2
Predictive Maintenance
Machine health monitoring, failure prediction, and maintenance scheduling from sensor data and vibration analysis.
// Details
- Vibration and acoustic analysis
- Remaining useful life (RUL) prediction
- Anomaly detection in sensor streams
- Maintenance schedule optimization
// Output formats
Time-series DBMQTTOPC UAInfluxDB
/ M.3
Production Optimization
Process parameter optimization, yield prediction, and throughput maximization using reinforcement learning and optimization algorithms.
// Details
- Process parameter tuning
- Yield prediction and root cause analysis
- Production scheduling optimization
- Energy consumption optimization
// Output formats
CSVSQLParquetDashboard
/ M.4
Supply Chain Visibility
Track materials, predict delays, optimize inventory levels across the manufacturing supply chain.
// Details
- Supplier risk assessment
- Lead time prediction
- Material demand forecasting
- Just-in-time inventory optimization
// Output formats
EDIJSON APIXMLCSV