Nabıyev V., İskender Ö., Kök Ö.

1st International Conference on Electrical- Electronics and Computer Engineering, Trabzon, Turkey, 24 - 25 July 2021, pp.108-112

  • Publication Type: Conference Paper / Full Text
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.108-112
  • Karadeniz Technical University Affiliated: Yes


Security breaches that drone swarms may create in the air defense system must be determined in advance. In this study, a smart drone detection system for detecting drone swarms is proposed. Among the object detection methods, the YOLO algorithm was preferred as the optimum method. According to the experimental results, an average of 97,48% percent success was achieved in the same type of drone types, and an average of 95,46% percent in noisy images with different drone types.