To preserve essential expertise and reduce human error in airplane engine inspection, Cboost is working on an automated visual solution using AI-powered Computer Vision with the Air France KLM Engineering and Maintenance department.

Key outcomes

Increased efficiency and accuracy with less reliance on human labor
Damage detection at surface micron level
End-to-end solution for data collection, analysis, and reporting

The Challenges

  • Loss of airplane engine inspection expertise
  • Technical staff shortage
  • Strong regulations in the aerospace industry
  • Increased engine complexity with thousands of unique parts

The results

  • Using smart cameras and sensors along with smart lighting methods, high resolution imaging was collected
  • A custom AI model was trained to detect and classify damages according to size, complexity, and severity based on location
  • Data collection, analysis, and reporting were delivered as an end-to-end solution

Read more about Automated Visual Inspection Systems here.

The project at a glance

KLM Air France aerospace inspection
KLM Air France aerospace inspection 3
KLM Air France aerospace inspection 4

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