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?Â
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
High Deposition Subarc Through Resistive Heating
Boosting Productivity with High-Deposition Submerged Arc Welding Through Resistive Wire Heating
Industrial Applications of Handheld Laser Beam Welding for Military-Grade Aerospace Titanium and Nickel Based Alloy
Handheld Laser Beam Welding for Aerospace and High-Performance Alloys: Applications, Standards, and Qualification Requirements
Microwelding of NiTi Alloys for Medical Device Applications
Microwelding of NiTi Alloys for Medical Device Applications: Advancing Dissimilar Metal Joining for Biomedical Devices
Protecting Welders, Protecting the Trade
Protecting Welder Health Through Awareness, Education, and Clean-Air Solutions