Description
AeroVision enhances aircraft turnaround efficiency by using advanced computer vision to track and analyze real-time video data from airport cameras. It monitors critical elements like aircraft, ground equipment, and passengers, providing actionable insights and real-time alerts to optimize turnaround times, resource allocation, and identify bottlenecks.
Practical Use Case and User Story
As an airport operations manager, I need AeroVision to process video feeds from cameras across the airfield, using AI to track aircraft, ground support vehicles, equipment, and passengers. The system should log key events and provide a real-time dashboard with performance metrics and bottleneck identification. This will help reduce turnaround times, improve decision-making, and enhance coordination, ensuring timely aircraft departures and efficient ground operations.
Tech Stack Involved
Computer Vision Algorithms, Machine Learning, YoloV5, Real-Time Analytics and Dashboards, AWS Quick Sight, Integration with Airport Systems