Modeling and Implementation of Object Detection and Navigation Systems for Quadcopter Drone

This paper presents our research on the development of object detection and navigation systems using deep learning for quadcopter drone. The grand purpose of our research is to deliver important medical aids for patients in emergency situations and implementation in agriculture in Indonesia. We will exploit the drone technology for transporting items efficiently. In sending process, our drone must detect the object target, where the items will be delivered. Therefore, we need object detection module that can detect what is in video stream and where the object is by using GPS as well. To implement the module, we use combination of GPS, MobileNet and the Single Shot Detector (SSD) framework for fast and efficient deep learning-based method to object detection. The development of navigation systems and the ability of deep learning to detect and localize specific objects are studied by conducting experiments …