Purpose of AeroVision
AeroVision leverages cutting-edge AI and machine learning to streamline aircraft maintenance processes. It detects damage in real-time and automates inspections, reducing human error and operational downtime.
Revolutionizing Aircraft Maintenance with AI Precision
A 309th Aircraft Maintenance Group crew perform depot
Increasing price index for aircraft repair & maintenance
Aerovision
A unified system ensures streamlined access, protects passenger data, and enhances onboard safety. Because secure skies mean safer journeys.
How It Works
Our Mission
-
Time Saving
The D Check requires two months of downtime and 50,000 man-hours. Our innovation dramatically reduces inspection times by automating the checks. With AI-driven damage detection, we significantly minimize aircraft downtime.
-
Accuracy
The AI system utilizes Physics-Informed Neural Networks (PINNs) and You Only Look Once (YOLO) models. This technology ensures precise, real-time damage detection, improving inspection accuracy. Reduces human error, providing more reliable and consistent results.
-
Cost Reduction
The D Check costs millions in revenue loss. Our solution lowers costs by reducing the man-hours and time required for inspections. Automates checks and improves maintenance processes, saving airlines significant funds annually.
-
Safety
Enhances safety by providing precise, real-time damage detection. Addresses safety risks by reducing the time between inspections and improving detection accuracy.
The Story Behind the Innovation
Inspired by the inefficiencies in traditional aircraft maintenance, AeroVision was born out of a desire to eliminate costly inspection delays and human errors. We combined advanced machine learning models with real-time processing to automate and improve the maintenance process, ensuring that airlines can operate more safely and efficiently.
How It Works
Maintenance teams can integrate AeroVision's AI-powered system into their current workflows. The system scans and inspects the aircraft, automatically detecting damage and providing a real-time analysis to technicians. The automated nature of this process greatly reduces downtime and human error.
Investor Call to Action
Join us in transforming the future of aircraft maintenance. Learn More & Invest
