Airplane Runway Detection and Tracking

This project detects and tracks airplane approaching and landing on a runway using a combination of deep learning model and image processing techniques. It processes video frames to identify runways, detect airplane, estimate distances, and determine airplane states.

Features

• Runway line detection using a pre-trained TensorFlow model.
• Airplane detection using YOLO11.
• State(Landing, Taking Off, On Runway, Approaching) and distance estimation based on airplane position and runway proximity.

Requirements

pip install -r requirements.txt