Vision-Based Weld Seam Tracking With Real-Time Alignment Correction
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Solution Overview
Problem
Laser seam tracking systems in the welding industry are costly and unreliable, particularly due to alignment issues in harsh environments and integration challenges with motion systems, leading to increased costs and reduced reliability.
Innovation Solution
A welding tracking and motion system that performs real-time calibration by detecting feature points on the weld surface, using digital image processing to adjust the alignment and generate movement commands, thereby maintaining accurate alignment without the need for frequent re-alignment and reducing operational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If laser seam tracking systems are used, then welding precision is improved, but system cost and complexity increase
Solution Approach 1:
The patent replaces complex laser-based optical tracking systems with a simpler vision-based system using a camera and image processing algorithms. The camera captures images of the weld seam, and software processes these images to extract seam position and orientation data, eliminating the need for expensive laser triangulation hardware while maintaining welding precision.
Solution Approach 2:
The system creates a digital copy of the weld seam by capturing images with a camera and processing them through image algorithms. This digital representation is then used for tracking and control, replacing the need for direct laser measurement and reducing system complexity while preserving manufacturing precision.
2Manufacturing precision
If laser seam tracking systems are used, then welding precision is improved, but reliability decreases due to alignment issues
Solution Approach 1:
The vision-based system is inherently more self-aligning because it uses 2D image processing to locate the weld seam automatically. The software algorithms can adapt to variations in camera position and angle, allowing the system to self-correct alignment issues without requiring precise mechanical alignment, thereby improving reliability while maintaining welding precision.
Solution Approach 2:
The system dynamically adjusts tracking parameters based on real-time image analysis. The software can adapt to changing weld geometries and camera positions during operation, making the system more robust to alignment variations and improving overall reliability compared to rigid laser-based systems.
3Extent of automation
If tracking systems are integrated with motion systems, then automation is improved, but device complexity and cost increase
Solution Approach 1:
The vision-based tracking system serves multiple functions: it provides seam position tracking, orientation detection, and serves as a reference for motion control. This multi-functional approach consolidates what would otherwise require separate systems, reducing integration complexity and cost while maintaining high automation levels.
Solution Approach 2:
The image processing software acts as an intermediary between the simple camera hardware and the motion control system. It extracts relevant features from images and translates them into coordinates and parameters that the motion system can use, simplifying the integration interface while enabling automated operation.
4Measurement precision
If laser-based tracking systems are used, then measurement precision is improved, but ease of operation worsens due to alignment maintenance requirements
Solution Approach 1:
The vision-based system automatically performs tracking and alignment through software processing of camera images. The algorithms continuously locate the weld seam and adjust tracking parameters without operator intervention, eliminating the need for manual alignment maintenance while preserving measurement precision.
Solution Approach 2:
The system continuously captures images, processes them to determine seam position, and uses this feedback to maintain accurate tracking. This closed-loop approach automatically compensates for any drift or misalignment, maintaining measurement precision while simplifying operation compared to systems requiring manual alignment adjustments.
Data Source
AI summary
Briefly, the present disclosure relates generally to welding applications and, more particularly, to welding tracking and/or motion systems.