Understanding advanced lighting technologies and AI-driven solutions for enhanced manufacturing quality control. Manufacturing defects can severely impact product quality, performance, and reliability. These defects often lead to significant yield loss and costly product recalls. Understanding critical defects and their consequences is crucial for manufacturers, especially as they scale up production volume. In this talk, we will explore common manufacturing defects across industries and demonstrate innovative ways to illuminate and detect them using AI-powered vision systems. This session is designed for manufacturing engineers, quality control managers, and technology decision-makers who are looking to enhance their visual inspection capabilities through modern AI and imaging solutions. Whether you're considering implementing automated inspection or looking to improve existing systems, you'll gain valuable insights into the latest developments in this field.
Keven Wang - Unitx, Inc.
AI-Enabled Automatic Inspection of Large Welded Structures: Technology Validation and Demonstration
Manual in-process inspection represents best practice for welded structure fabrication, but human limitations (distraction, fatigue, confirmation bias) compromise quality outcomes and lengthen time to delivery. To minimize undetected fabrication errors while streamlining in-process inspection, a developmental project is underway to adapt machine vision-based automatic inspection technology to large welded structure fabrication. Proven on large, critical composite aerostructures, the inspection technology is being adapted to address welded structure inspection needs, including operation in harsh environments, large fields of view, and manufacturing and quality data generation, delivery and collection. AI-enabled, real-time calibrated image analysis, with feedback for corrective action, will be described, as will the digital stitching of inspection images to generate a detailed panoramic representation of the entire welded and assembled structure for documentation. Finally, the presentation will report on the current status of validating and demonstrating this technology in an industrial environment (TRL 6-8).
Scott Blake - Aligned Vision
Automation/Robotics Track Sponsored By:
