Image processing techniqes and drone detection

Technology, which has developed in certain stages from the beginning of human history to the present, can be produced by taking samples from nature in line with the needs and desires of people. In addition to facilitating human life due to the developing technology, the ability of countries to use their own resources and deterrent effect increases with defence. However, in addition to these advantages, other countries or people with bad intentions also pose a threat in all situations and conditions, directly or indirectly, by having these technologies. For this purpose, it is of vital importance for our country to take various measures besides producing better ones by following the developing technology in the world and participating in applications. In this study, an application has been made for the detection and identification of the UAV that has developed recently. A visual system in a digital environment similar to that of nature was tried to be established. For the identification and detection of UAVs on the installed hardware, SSD Mobilnet method which is among the deep learning methods whose usage area has increased in recent years and the TensorFlow library using Google infrastructure, have been used. Due to its mission, the UAV, which is at a certain height at certain hours, is constantly in motion. For this reason, the SSD model chosen for fast and real-time object identification was the main theme of this study. These software and programs are supported with practical, fast and accessible hardware.