Inspection module

Product Details
The Post-weld AOI Inspection Module integrates 3D imaging with deep learning algorithms to perform weld quality inspection. It captures weld surface morphology in real time and automatically identifies defects such as porosity, spatter, cracks, undercuts, weld beads, cold joints, misalignment and missed welds. The system provides combined 3D morphology quantification and 2D surface defect recognition, yielding an overall detection rate of up to 99.5% to support reliable process control and production efficiency.

Product Advantages

• 3D+2D multi-dimensional inspection: quantifies 3D morphology (concavity, convexity, step height) while applying 2D surface defect recognition for comprehensive weld evaluation and simultaneous multi-defect detection.
• AI-driven algorithms for stable identification: deep learning improves robustness across variable weld geometries and complex production environments compared with traditional methods.

Applications

• Soft-pack battery sampling terminal post-welding inspection
• Power battery tab post-welding inspection
• Power battery connector post-welding inspection
• Power battery safety vent post-welding inspection
• Passive component post-welding inspection
• Pouch cell tab post-welding inspection

Technical specifications

• Technologies: 3D imaging (morphology quantification) + 2D surface defect recognition
• Algorithms: deep learning / AI-based defect identification
• Detectable defects: porosity, spatter, cracks, undercuts, weld beads, cold joints, misalignment, missed welds
• Detection performance: overall detection rate up to 99.5%
• Functions: real-time morphology capture; automatic multi-defect identification; simultaneous 2D and 3D evaluation