Turn inspection data into actionable quality intelligence
The challenge
Defect detection tells you that something is wrong. Defect classification determines what it is, how critical it is, and what action should be taken.
As products, materials, and defect patterns become more complex, conventional classifiers often require extensive feature engineering, manual tuning, and ongoing maintenance. Complex defects can be difficult to describe with fixed rules, making consistent classification increasingly challenging.
The solution
PEARL Classify uses AI-powered image analysis to automatically classify detected defects based on visual characteristics learned from training data.
Instead of relying solely on manually defined features and rules, PEARL Classify learns to recognize even complex and highly variable defect patterns, simplifying the classification process and reducing engineering effort.
The benefits
- Simplify defect classification with AI
- Reduce classifier setup and maintenance effort
- Distinguish complex and visually similar defect types
- Adapt more easily to new products and defect patterns
- Improve consistency across lines, plants, and operators
- Support faster and more confident quality decisions
The result
PEARL Classify transforms defect images into meaningful quality information. Manufacturers spend less time defining and refining classification rules while achieving more reliable and consistent results.
Less effort. More consistency. Better quality decisions.
