Author(s): K.Nirmal, P.Vijayasarathy, J.Jayapandian
Face recognition is a process of identifying a person using a digital image. In nowadays there are varieties of face recognition software available but in general they work on facial axis which will be compared with the stored data within a database. There are lots of artificial intelligence based applications that can be able to uniquely identify the persons based on the patterns on ones facial texture while capturing the image it exchanges the GPS location with the cloud to identify the face gesture with the cloud. We will provide a thorough survey of the concepts of Cloud Computing and Big Data. In this paper, we conduct empirical studies to evaluate several factors that may influence the performance of face detection and recognition techniques on drones. Our findings show that the current face recognition technologies are capable of recognizing faces on drones with some limits in distance and angle, especially when drones take pictures in high altitudes and the face image is taken from a long distance and with a large angle of depression. We also find that augmenting face models with 3D information may help to boost recognition performance in the case of large angles of depression.