Unmanned Aerial Vehicles (UAVs) are widely used in both military and civilian sectors today. One of the most important applications of these vehicles is their ability to detect potential threats and distinguish between friend and foe. In this context, the Graphical User Interface (GUI) system enhances the UAVs’ ability to perform intellectual analysis and decision-making, thereby increasing operational efficiency and aiding in reducing misidentifications. GUI systems combine data from various sensors to ensure accurate target recognition in complex environments. Through their decision-making algorithms, these systems play a crucial role in distinguishing between friendly and hostile targets. The use of GUI systems in UAVs enables more accurate and efficient execution of detection and tracking missions. Additionally, GUI systems play a crucial role in security and surveillance missions, especially in urban environments or challenging terrain conditions. In recent years, with the development of artificial intelligence and learning algorithms, the effectiveness of GUI systems has further increased. These technologies ensure that UAVs operate effectively in more complex environments with minimal human intervention. Consequently, UAVs equipped with GUI systems will play a more significant role in both military and civilian sectors in the future. Lastly, this article explores and applies the use of GUI interfaces.

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Graphical User Interface System in Unmanned Aerial Vehicles for Differentiating Enemy, Civilian, and Friendly Targets

  • Aftandil Mammadov,
  • Dayanat Heybatov,
  • Yahya Ahadov

摘要

Unmanned Aerial Vehicles (UAVs) are widely used in both military and civilian sectors today. One of the most important applications of these vehicles is their ability to detect potential threats and distinguish between friend and foe. In this context, the Graphical User Interface (GUI) system enhances the UAVs’ ability to perform intellectual analysis and decision-making, thereby increasing operational efficiency and aiding in reducing misidentifications. GUI systems combine data from various sensors to ensure accurate target recognition in complex environments. Through their decision-making algorithms, these systems play a crucial role in distinguishing between friendly and hostile targets. The use of GUI systems in UAVs enables more accurate and efficient execution of detection and tracking missions. Additionally, GUI systems play a crucial role in security and surveillance missions, especially in urban environments or challenging terrain conditions. In recent years, with the development of artificial intelligence and learning algorithms, the effectiveness of GUI systems has further increased. These technologies ensure that UAVs operate effectively in more complex environments with minimal human intervention. Consequently, UAVs equipped with GUI systems will play a more significant role in both military and civilian sectors in the future. Lastly, this article explores and applies the use of GUI interfaces.