INTRODUCING...
DEVIATION DETECTION
Our solution, like an experienced welder's eye, can detect potentially detrimental indicators that may lead to various defects.
MACHINE INDEPENDENT
Our AI-powered components can correlate deviations in quality indicators to root-causes, which accelerates the troubleshooting process
ACTIONABLE INSIGHT
Seamless, integrable hardware collects data and sends feedback to a remote monitoring unit. Notifications and commands will locate the defect.
Inspection 4.0
First to monitor welding operation quality in real-time via process-level quality indicators using advanced Machine Learning software.
What we offer
Inspection 4.0 automates inspection by implementing ML-powered software detection for any deviation by notifying in real-time thereby eliminating chance of recurring error
Our current Installation allows for:
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Automated Detection Real-time Inspection
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100% of parts inspected
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No-training required
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Defect Detection
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Post-process inspection
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2 - 10% of parts inspected
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Decreased operating expenses
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Increased Quality and production efficiency
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Seamless Integration
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Decreased lead time
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Automated inspection process
Automated Inspection
FLEXIBLE SOFTWARE INTEGRATION
Our current Installation allows for:
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Decreased operating expenses
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Increased quality and production efficiency
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Seamless Integration
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No training required to operate
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Decreased lead time
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Automated inspection process
HUMAN INSPECTION:
DEFECT DETECTION
POST - PROCESS INSPECTION
2 - 10% OF PARTS INSPECTED
INSPECTION 4.0
AUTOMATED DETECTION
REAL-TIME INSPECTION
100% OF PARTS INSPECTED
MULTI-CELL MONITORING
100% CONSISTENCY
NO-TRAINING REQUIRED
Risks we eliminate:
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Profit loss due to reworks
Predict process defects vs finding them after the process
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Delays and backlogs from downtime
Address issues in real-time
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Defective product and reliability loss
Monitor quality of each and every part vs batch samples
Real-Time Quality Management
INSPECTION 4.0
Remote monitoring allows for fully automated welding inspection process.
Our advanced camera installation allows remote monitoring of both optical and positional data
Virtual Weld Master accelerates troubleshooting by directing users to the root-cause of the deviations
Real-time monitoring with electrical sensors
Indications released when deviation passes abnormality threshold
Current drawbacks
Weld monitoring remains human dependent even in robotic lines
Lack of real-time data and human inspection leads to downtime up to twice the length of the welding process
Defects found after welding process will have significant rework costs and increased downtime