High-Precision AI Inspection for Aerospace Components
Implementing multi-spectral computer vision to detect micro-fractures in critical engine components with 99.8% accuracy.
99.8%
Detection Rate
400%
Speed Increase
85%
Risk Reduction
500ms
Analysis Time
99.8% detection rate of sub-millimeter defects, reducing recall risks by 85%.
The Challenge
A leading Canadian aerospace manufacturer faced significant recall risks due to micro-fractures in titanium engine blades that were invisible to the human eye. Manual inspection was slow and prone to fatigue-induced errors.
Our Approach
We developed a proprietary multi-spectral computer vision system using thermal and UV imaging. The system utilizes real-time deep learning to analyze surface anomalies and subsurface stress patterns, flagging defects within 500ms.
The Impact
The system achieved a near-perfect detection rate for sub-millimeter defects. Inspection throughput increased by 400%, and the manufacturer successfully avoided three major recall events in the first year of operation.
Project Timeline
Multi-spectral Dataset Creation
Created a comprehensive dataset of known flaws and pristine parts using thermal, UV, and visible light spectrums.
CNN Optimization
Trained specialized convolutional neural networks to detect features across three light spectrums simultaneously.
Production Integration
Deployed high-speed inspection tunnels directly into the robotic manufacturing line.
"Stigma Technologies didn't just give us a tool; they gave our manufacturing line a brain and eyes. I sleep better knowing this system is on watch."
André Boucher
Head of Quality Assurance
Aerovance Industries
Technologies & Domains
Optimize Your Quality Control
Implement zero-defect manufacturing with our specialized computer vision systems.
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Aerospace AI Vision
Ensure absolute compliance and safety with automated, high-precision visual inspection.
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