https://github.com/iv4n-ga6l/airplane_monitoring_with_runway_detection

Airplane Runway Detection and Tracking
https://github.com/iv4n-ga6l/airplane_monitoring_with_runway_detection

airplane-tracking opencv python runway-detection scikit-image tensorflow torch

Last synced: about 1 month ago
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Airplane Runway Detection and Tracking

• Host: GitHub
• URL: https://github.com/iv4n-ga6l/airplane_monitoring_with_runway_detection
• Owner: iv4n-ga6l
• Created: 2024-07-05T23:09:33.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-11-12T07:59:34.000Z (about 2 months ago)
• Last Synced: 2024-11-24T08:26:39.653Z (about 1 month ago)
• Topics: airplane-tracking, opencv, python, runway-detection, scikit-image, tensorflow, torch
• Language: Python
• Homepage:
• Size: 39 MB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## 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. 

![Demo](https://github.com/user-attachments/assets/25c9f387-a1da-4b7a-8887-435a03b435d0)

### 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

````