| Yazarlar (2) |
Adnan Akpınar
T.C. Maltepe Universitesi, Türkiye |
Prof. Dr. Ensar GÜL
Maltepe Üniversitesi, Türkiye |
| Özet |
| Object detection is an image processing method that aims to detect the object from the images taken through cameras. In this context, it has become possible for drones to detect an object and predict the object's distinctive features. In this study, object detection and classification methods were employed to enable drones to develop a defense mechanism by making a distinction between threatening and non-Threatening objects approaching them, thereby autonomously protecting themselves, independently of the pilot, against potentially threatening objects. |
| Anahtar Kelimeler |
| drone | drone reflex | image processing | machine learning |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | 34th International Conference on Computer Theory and Applications (ICCTA 2024) |
| Kongre Tarihi | 13-12-2024 / |
| Basıldığı Ülke | Mısır |
| Basıldığı Şehir | Alexandria |
