Automotive Quality Control Revolution
The Quality Control Challenge
A leading automotive manufacturer was struggling with inconsistent quality control across their global production facilities. Manual inspection processes were causing significant defect escape rates, leading to costly recalls and customer dissatisfaction.
Key Pain Points
- 15% defect escape rate causing warranty claims
- Inconsistent inspection standards across facilities
- High labor costs for manual inspection teams
- Slow feedback loop from defect detection to process correction
- Limited traceability for root cause analysis
AI-Powered Vision System
Tesan AI deployed a comprehensive AI vision system integrated with the WORM feature for immutable quality records and blockchain-based traceability across the entire supply chain.
Key Features Deployed
- Real-time defect detection using advanced computer vision
- Multi-camera inspection stations at critical checkpoints
- Automatic classification of defect types and severity
- Integration with MES for immediate process adjustments
- Blockchain-verified quality certificates for each component
- WORM-compliant audit trails for regulatory compliance
Transformative Results
Measurable outcomes from the implementation
Implementation Journey
A structured approach to transformation
Assessment & Planning
Comprehensive analysis of existing quality processes and identification of critical inspection points
Pilot Deployment
Installation of AI vision systems at one production line with training data collection
Model Training
Custom AI model training using collected defect samples and validation
Full Rollout
Enterprise-wide deployment across all facilities with standardized processes
Continuous Improvement
Ongoing model refinement and expansion to new inspection points
Use Cases Implemented
Specific applications within this implementation
Ready to Achieve Similar Results?
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