atmosfer_siha_veriseti Computer Vision Project

Here are a few use cases for this project:

1. Aircraft Recognition and Tracking: The atmosfer_siha_veriseti computer vision model can be used to accurately identify and track different iha classes, including aeroplanes, in real-time for air traffic control operations, ensuring the smooth and safe coordination of flights and airspace management.

2. Airport Security and Surveillance: This computer vision model can be applied to monitor and manage airport security by detecting unauthorized or suspicious activity, such as identifying unknown iha classes entering restricted areas or detecting unusual movement patterns in the airspace surrounding an airport.

3. Aerial Photography Analysis: The model can be used to automatically sort and classify aerial photographs based on the iha classes present in them. This can be beneficial for geospatial and environmental analysis or for creating detailed and specialized databases for further research and application.

4. Aviation Training and Simulation: Atmosfer_siha_veriseti can be integrated into training programs and simulators for aviation professionals, such as pilots, air traffic controllers, and engineers, to improve their understanding and recognition of different iha classes and their behaviors.

5. Unmanned Aerial Vehicle (UAV) Management: The model can enhance the efficiency and safety of UAV operations by ensuring that only authorized iha classes (including drones, air taxis, etc.) are operating in designated areas, providing automated conflict resolution and avoiding mid-air collisions.