AI Composite Defect Detection Software for Aerospace Parts                                

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# Computer vision and ultrasonic data fusion detecting sub-surface composite defects  
— Aerospace & Defense Manufacturing

**Solving:** Inconsistent manual inspection of composite structures for hidden delamination defects

## Machine Learning Architecture

Computer vision and ultrasonic data fusion detecting sub-surface composite defects

Python, OpenCV, TensorFlow

## Validated Business Impact

Improves hidden defect detection rate by 35.8%

## Technical FAQ

### How does JSRRB Technologies solve inconsistent manual inspection of composite structures for hidden delamination defects?

We deploy computer vision and ultrasonic data fusion detecting sub-surface composite defects. Typical result: improves hidden defect detection rate by 35.8%.

### What technology and security model powers this Aerospace solution?

The solution is engineered on Python, OpenCV, TensorFlow, deployed under JSRRB's zero-trust architecture so your proprietary Aerospace systems and data stay encrypted and are never exposed to public AI training models.

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