AI weld inspection
AI weld inspection automates visual inspection, delivering consistent OK/NOK decisions, reducing labor dependence, improving throughput, and enabling full traceability per weld across production lines.
What is AI weld inspection?
AI weld inspection automates the visual quality assessment of welded products. By combining cameras or laser sensors with AI models, defects are detected, dimensions are verified, and weld quality is classified in a consistent and repeatable manner. Every inspection result is linked to the individual part, enabling full traceability within automated production environments.
Common operational hurdles
Skilled labor shortage
Inconsistent inspection decisions
Undetected weld defects
Inspection processes that limits throughput
System approach to these challenges
AWL integrates AI-driven inspection directly into production systems, replacing manual checks with a repeatable, data-driven process. The system is designed around weld variability, production flow, and traceability requirements, ensuring stable performance while protecting production flow.
- Automated weld detection, measurement, and classification.
- Per-weld traceability with images and serial linkage.
- Integration into new or existing robotic production cells.
Orchestrated in one system
A proven approach to robotic automation
The success of robotic automation depends on more than the technology itself. The way requirements are defined, engineering decisions are made, and systems are supported after commissioning all influence long-term operations performance.
Bringing together expertise across engineering, integration, commissioning, and support helps create solutions that perform reliably in operation.
Benefits to your operation
Consistent weld quality
Depend on skilled inspection
Full production traceability
Robotic automation that performs
"Automation helps us ensure consistent quality while reducing the workload on our employees."
Andreas Jansen, Project Manager Process Planning at Mühlhoff
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“The biggest advantage for automation for us is the ability to ramp up and scale up as volume increases.“
Stephen Frazier, CEO at Tarter
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“If we wanted to grow, we knew we needed to advance in automation.”
Austin Metz, Manager at OPS
Read case studyMore proven solutions
Environments in which we apply this solution
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Automotive
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Buses
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Rolling stock
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Cabinets
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Storage
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Fencing & gates
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Sprinkler
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Yellow goods
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Agriculture
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Miscellaneous steel