Automated visual inspection for aerospace
Why you should automate with us
- Detect damages at micron level on varying complex parts
- Achieve over 95% accuracy with a 5-second inspection time
- Reduce reliance on human labor and associated inspection costs
How we work
1. Data collection set-up
Cboost installs and engineers a data collection set-up on location, with secure European scanners and in-house software development.
2. Data collection and annotation
We continuously collect data and perform quality assurance steps.
3. Deep learning models
Cboost has existing damage detection models. New training data is added only after our experts’ approval.
4. Customization
We customize our algorithms based on your requirements and the specifications of your environment.
5. Results and feedback
Results are shared and refinements are made if necessary. Feedback is key to reach the best possible outcome.
6. Visualization
Results are displayed through a User Interface as inspection reports. Data can be exported and integrated into third-party systems.
Project highlight: Damage detection on airplane engines at a micron level for KLM Air France
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.