PCB online appearance inspection (VRS)
Equipment Purpose：
-Adopt self-developed AI algorithm system to realize automatic defect re-judgment and automatic sorting.
Equipment Introduction:
-Use a high-precision servo motion control platform to control the imaging system to acquire images stably and quickly;
-Through software architecture design, one server can be connected to multiple VRS automatic sorting machines.
Equipment features:
-VRS re-inspection: one person controls 4 units, reducing manpower by 75%;
-Large model with high computing power improves detection efficiency, with detection time ≤100ms;
-Use AI to improve detection reliability, filtering out 95% of false positives;
-Data statistical analysis.
Equipment parameters | |
Defect recognition rate | ≥95% |
Plate thickness | 0.5-3.2mm (including copper) |
Detection speed | 700mm/S (adjustable) |
AI model updates | Data sharing, one-click model training and deployment, fast iteration |
Repeatability | ±0.01mm |
Detection accuracy | 1.8mil line width |
Capacity | ≥6 tablets/min |
