The Challenge
Manual inspection of complex aerospace components was slow, tedious, and error-prone. Taking up to 8 hours per component, the process suffered from a 12% defect miss rate due to human fatigue, leading to costly downstream rework and delayed shipments.
The Solution
We integrated advanced vision-language models onto agile quadruped robots. These autonomous inspectors navigate the factory floor, continuously scanning structural components from multiple angles, and generating real-time natural language reports on micro-fractures and surface anomalies.
Key Results
- 99.2% accuracy in defect detection
- 85% reduction in inspection time (8 hours to 1.2 hours)
- $3.2M annual savings in rework costs
- 10x more components inspected annually
Technologies Used
Vision-language models, Quadruped robotics, Computer vision, Real-time analytics.
Timeline
4 months implementation and validation.