Aerial face recognition and absolute distance estimation using drone and deep learning

Abstract

Because of the rise of deep learning and neural networks, algorithms based on deep learning have also been developed and subtly applied in daily life. This paper hoped to use neural network-based face recognition with absolute distance estimation and research done with drones to achieve the target tracking effect through the recognition ability of neural networks. The aerial images were used to identify different people or behaviors through which distances could be calculated to establish the foundation for subsequent research and development. According to our experiments, performing the face recognition model and distance estimation met expected results, and it also had a specific accuracy rate from different angles and distances. In summary, identification and distance estimate had better accuracy within the effective length, and we could expect the speed and convenience of identification to be realized on other devices.