Computer vision that does not miss what humans do.
A machine vision system that uses deep learning models trained on customer-specific defect libraries to inspect products in real time on the production line, at speeds and consistency levels manual inspection cannot match.
The system identifies surface defects, dimensional deviations, assembly errors and labelling issues, classifying each defect type and flagging root-cause patterns across production runs.
- Accuracy> 99.2% on trained defect classes
- SpeedMatched to line speed · no slowdown
- Defect libraryBuilt from your own historical samples
- Line controlReal-time rejection signal integration
- InferenceEdge · sub-50ms decision latency
- TraceabilityLinked to serial, batch, shift, line params
- ✕Solder bridge · J40.971
- ✕Missing capacitor · C120.944
- ✓Dimensional · within tol0.998
- ✓Label · OCR match0.996