Artificial Intelligence in-process defect detection for laser brazing: A Deep Learning Approach
Artificial Intelligence in-process defect detection for laser brazing: A Deep Learning Approach
How can process monitoring and quality assurance for laser joining be improved?
To stay competitive, manufacturing facilities must continue to get smarter and more efficient. Artificial Intelligence technology is proving to be the key factor in driving optimum performance and improved quality in product manufacturing. Combined with high-speed Intelligent Laser Optics with real time integrated process monitoring, the Smart Factory is teaching itself. Accurate Data Driven Decisions can now be made by production equipment itself, minimizing human decision making, and thus improving process control.
Jay Flowers, Laser Welding and Brazing Expert, Scansonic
Presented at: CanWeld Conference 2024
CanWeld 2024
CanWeld 2024
Presentations
Presentations
Advanced Welding Technology
Preparing the Next Generation of Welding Professionals Through Advanced Training
AI-Driven Welding Training in Career and Technical Education (CTE)
Transforming Welding Education Through Artificial Intelligence
From the Doorway to the Deck Plates
Building the Bridge From Classroom Training to Shipyard Careers
Is it a Good Weld?
Understanding Weld Quality Through Codes, Materials & Service Conditions