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5 Steps to Achieve Full Automation in Smart AOI Detection
Collect limited real data from AOI systems using existing inspection equipment to capture golden and defect samples.
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
Integrate AI models into AOI equipment, continuously optimizing for smart AOI.
AI Model Integration with AOI Systems
Key Benefits
Reduce Data Collection Costs
Generate extensive high-value synthetic data from minimal real data, cutting collection costs.
Enhance Quality Control
Lower false detection rates, improve accuracy.
Increase Rare Defect Detection
Boost AI training and rare defect detection, ensure comprehensive inspection.
Shorten AOI Application Development Cycle
Diverse synthetic data shortens development and optimization cycles by up to 70%.
Lower Implementation Costs
Easy to use, offering an automated process from generating synthetic data and training AI models to deployment.
Achieve Full Automation in Inspection
Enable immediate inspection for each newly manufactured PCBA, reducing QC labor costs.
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