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Smart AI Solution for Metal Pipe Surface Defect Detection
Achieve QC Automation in Traditional Industries Through Synthetic Data Combined with AI
Observe and study numerous issues in real-world systems.
Initial Data Collection
Conduct in-depth analysis to identify key features and patterns in real data, laying the foundation for data synthesis.
Initial Data Analysis
Based on the analysis results, generate highly realistic synthetic data using the MetSynthesizer.
Generate Synthetic Data
Combine real samples and synthetic data to train AI models, improving accuracy and reliability.
Synthetic Data for AI Model Training
Embed AI models into automated inspection machines for quality control automation.
Integrate AI Models with Automated Inspection Equipment
Key Benefits
Achieve Full Automation in Inspection
Automate defect detection, classification, and labeling to reduce labor costs.
Reduce Data Collection Costs
Generate extensive high-value synthetic data from minimal real data, cutting collection costs.
High-Detection AI Inspection Models
Implement highly precise AI automated inspection, saving approximately 80% of human reinspection time.
Reduce Physical Development Costs
Simulate and verify systems in digital twin environments, minimizing resource waste.
Shorten Development Time
Reduce project duration from 14 to 4.5 months.
Creating a Smart Future with MetAI
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