HxGN Visual Detection
Automated surface inspection application ideal for defect detection
HxGN Visual Detection can be deployed to support a wide range of use cases. It can manage high-speed throughput within a large manufacturing cell or when checking small numbers of high-value components during a proof of concept. HxGN Visual Detection uses CNN (convolutional neural network) deep learning models to train, identify and categorize surface defects.
Ready for use with Hexagon’s Optiv vision CMMs, HxGN Visual Detection can easily be incorporated into metrology workflows with PC-DMIS Vision to add surface inspection. The fully automated, one-shot measurement and defect detection approach will increase autonomy and accuracy and improve efficiency in any workflow.
Benefits And Features
HxGN Visual Detection in the metrology workflow
Capture
Offering versatile multisensor CMMs, the Optiv range is ideal for capturing images for measurement and analysis in the quality room or in the production area.
Inspect
HxGN Visual Detection detects surface errors on images supplied by the Optiv CMM.
Measure
Images are processed by PC-DMIS Vision metrology software and features can be compared against CAD models. PC-DMIS is also a gateway for data analysis applications such as Q-DAS or HxGN Metrology Reporting.
Training and Resources
Support
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