How Cboost helped KLM detect damages on airplane engines at a micron level
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
