İnsansız hava aracı ile otonom olarak alan tarama, hedef tespiti ve takibi

The use of unmanned air vehicles is becoming more and more important and this technology is developing rapidly. There is a significant trend towards the use of unmanned aerial vehicles, especially in the defense industry. In addition, unmanned aerial vehicles are being developed to be used for search and rescue, tracking, agricultural, mapping, photography, hobby or other purposes. In parallel with the popularity of unmanned aerial vehicles, artificial intelligence technology is another area that has been developing rapidly in recent years. With the development of artificial intelligence technology, autonomous systems have been widely used in many fields. Unmanned aerial vehicles are one of these areas. As image processing technology and autonomous systems are time-saving, prevent human errors and are more cost-effective, demand for this technology is increasing day by day. Given the growing demand and the benefits of the resulting product, this area has been the subject of more scientific research. Although there are many scientific studies related to target detection and tracking in literature researches, there are not many studies related to detection and tracking systems by searching autonomously for the desired target. The aim of this thesis is to produce an unmanned aerial vehicle that is effective in terms of weight, flight time and cost and to contribute to this research field which is developed and grown by means of a system which is created by combining this unmanned aerial vehicle with an algorithm that will autonomously search, detect and follow the defined target in the identified area. Within the scope of the thesis, two main topics, image processing and unmanned aerial vehicle control, were studied.