Product overview
R2R detects and adjusts through AI algorithms and historical data to instantly predict the best production parameters based on the current production environment to ensure positive product performance and quality.
Data collection
- Measurement Data for IoT
- Process parameters for in-station
- Material and environmental factors
- Data for quality inspection
FDC detection
Detect critical process parameters with Rule based and AI based methods to increase the positive rate and avoid large amounts of scraps.
Optimal parameter prediction for AI
Building R2R (Run-to-Run) optimum parameter prediction and virtual measurement (VM) prediction model using AI analysis.
Intelligent feedback control
The anticipated parameters from the R2R optimal parameter prediction model are given back to the primary equipment for production via edge computing.
