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The Power of AI in Non-Destructive Evaluation
Artificial intelligence/machine learning solutions for enhanced quality assurance
Innovative solutions you can trust
The potential of artificial intelligence (AI) and machine learning (ML) solutions to drastically improve the reliability and repeatability of your quality inspection is not a dream of some distant future. Right now, there are real customers around the world utilizing our AI/ML-based solutions to transform their approach to non-destructive evaluation (NDE). You should join them.
Segmentation just got smarter
AI is revolutionizing non-destructive evaluation, offering innovative solutions to optimize your data analysis and break free of typical inspection restraints. Our intuitive AI/ML tools for the smart, autonomous segmentation of your CT data build a stronger, data-driven foundation upon which your analyses and subsequent decisions are made.
Paint & Segment
for versatile segmentation
Our traditional machine-learning-based segmentation tool, Paint & Segment, is one of our basic segmentation features in VGSTUDIO MAX. It is extremely user-friendly and ideal for the quick inspection of CT scans — simply paint a few strokes and let the tool segment the rest. This is also a great option for CT scans of varying data quality.
Available as basic function for:
VGSTUDIO MAX
Deep Segmentation
for automated inspection
This module connects your AI-trained models with the powerful workflows and analyses available in VGSTUDIO MAX and VGinLINE. Ideal for achieving reliable segmentation results on even low-quality scans typical to inline scenarios, this tool frees you from standard quality inspection limitations.
Available as add-on module for:
VGSTUDIO MAX
VGinLINE
Benefits
Consistency
Use our AI / ML solutions to obtain reliable results, minimize human error, and ensure consistency in the output — every time.
Resiliency
Good results can become better: our AI solutions can be adapted to your specific challenge.
Precision
In many applications, AI has superseded human-level precision. Start leveraging this potential for your inspection tasks.
Use case: Deep segmentation on batteries
Embark on your journey towards AI-driven excellence in NDE
The hurdle may feel high, but our tools are here to do the heavy lifting. Ready to start leveraging our AI/ML solutions for your quality inspection? Let's talk.
Additional resources:
- Pore Detection Paper: “Defect detection in CT scans of cast aluminum parts: A machine vision perspective”
- NDE 4.0 paper: “Information Extraction from Industrial CT Scans Using 3D Deep Learning”
- Single Fiber Segmentation Paper: “Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning”