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

Presentations

A Data Driven Approach to Improving Welding and Cutting Productivity

A Data-Driven Approach to Improving Welding and Cutting Productivity: Practical Strategies to Reduce Waste, Improve Efficiency, and Maximize Performance

CSA W47.1: 2025 Edition Changes

Understanding the Key Changes to CSA W47.1:2025

Flexible Automation in High-Mix Welding Applications

Flexible Automation in High-Mix Welding Applications: Practical Strategies for Scalable Manufacturing

High Deposition Subarc Through Resistive Heating

Boosting Productivity with High-Deposition Submerged Arc Welding Through Resistive Wire Heating