UAV Application with Moving Human Face Detection and Tracking
Unmanned aerial vehicles are a technology that has been used in many fields such as civil, military, industry and personal hobby in recent years and is developing rapidly in terms of technology day by day. In this study, human face detection and tracking application was carried out with a four- motor UAV. As an unmanned aerial vehicle, the DJI Tello EDU Drone has been used because it can be programmed with several different software languages, cheap cost, and material quality. The application was carried out in the PyCharm environment using the Python software language and OPENCV version 4.3.0 due to the availability of easy-to-learn and source studies. The OPENCV library was used to perform human face detection and tracking in the application. This process was carried out as the process of deciding and following without any selection process by the user that the object to be detected in the real-time image obtained from the frame of the fixed camera in the UAV is a human face. Dependent factors were evaluated in order to obtain the desired results in indoor and outdoor flights. As a result, human face tracking application was carried out autonomously in this study.
