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
CWB Learning Resources Advancing Welding Education
Presented by Cody Vigeant (CWB Group) during Welding Industry Day- February 11th, 2026
Handheld Laser Beam Welding (HLBW) Safety Considerations
Presented by David Werba (Miller Electric) during Welding Industry Day- February 11th, 2026
Low Temperature Impact Properties in Materials and Welding
Presented by Matt Yarmuch (MattCo Engineering Solutions Inc.) during Welding Industry Day- February 11th, 2026
Precision Power Laser: Achieving GTAW Quality at 3-times GMAW Speeds Through Advanced Hot Wire Laser Technology
Presented by Kevin Fleming (Lincoln Electric Company) during Welding Industry Day- February 11th, 2026