# Aerospace

Our client is a prominent global tier 1 aerospace supplier renowned for its multi-technology expertise. They sought our assistance to enhance defect inspection quality control within the domain of x-ray image analysis on their welding lines, with a specific focus on the precise detection of pores. Recognizing our proficiency in this area, they approached Mindtrace to provide a tailored solution.

**Challenges**

- A limited quantity of unlabelled training data (15 images)
- Seeking minute imperfections in high-resolution images
- Ambiguous definition of defective pores

## Outcome

Mindtrace has effectively demonstrated the capabilities of the Brain-Sense™ platform specifically for anomaly detection, developing and delivering a trained solution that attains an impressive 87% accuracy, despite being constrained by a limited dataset comprising a mere 15 training samples. As the model processes additional images, the accuracy will continue to increase, due to the AI brain’s capabilities to continuously learn.

**AI Brains Used**

1. **Classification**  
   Object identification & classification.

2. **Detection**  
   Identifies defect types, severity & location.

3. **Analytics**  
   Generates insights & recommendations.

1. Average Learning Samples  
2. 1% Accuracy  
3. 1 Day Project