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The quantity about drone machines in the nation's airspace, is exploding, raising concerns about mishandling. Unmanned Aircraft Systems provide an answer to overcome the problem of wrong way of using of drones, such as military and privacy issues. Drone detection could be challenging because of the presence of corresponding things present in the midair, like aircrafts and birdies. Unmanned Aerial Systems requires training on large loads of information to ensure more precision. Simultaneous detection is also required, but using modern devices such as Graphics Processing Units (GPUs). In this study, we attempted to encounter these confrontations by using model named You Only Look Once Version 5 (YOLOv5).

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Sky Guard a Vision Based on Drone and Bird Detection and Alert System Using Deep Learning

  • 会议论文

  • 发表日期：

    2026年

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  • P. V. Narasimha Raju,
  • Akash Murala,
  • Harsha Vardhan Reddy Macharla,
  • Shanmukha Subramanya Venkata Teja Namana,
  • Nani David Papabathuni

摘要

The quantity about drone machines in the nation's airspace, is exploding, raising concerns about mishandling. Unmanned Aircraft Systems provide an answer to overcome the problem of wrong way of using of drones, such as military and privacy issues. Drone detection could be challenging because of the presence of corresponding things present in the midair, like aircrafts and birdies. Unmanned Aerial Systems requires training on large loads of information to ensure more precision. Simultaneous detection is also required, but using modern devices such as Graphics Processing Units (GPUs). In this study, we attempted to encounter these confrontations by using model named You Only Look Once Version 5 (YOLOv5).