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Join MN ASQ for a session with Abdullah Al Masum Jabir, Quality Engineer at Andersen Corporation, on turning AI-based inspection into actionable quality insights.
AI and vision systems are transforming defect detection, but real-world challenges—like material variation, lighting changes, and inconsistent defect interpretation—can affect reliability. Abdullah will share practical strategies for improving defect definitions, decision criteria, and data accuracy, while building trust in inspection systems.
Learn how reliable inspection data can go beyond defect detection to support trend analysis, root-cause investigation, and continuous improvement.
Key Takeaways:
• Challenges of AI inspection in real environments
• Improving detection consistency and data reliability
• Using inspection data for better decisions
• Integrating AI into quality systems
Earn 0.2 RU (Recertification Units)!
Register now for July 14!
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