Real-Time Application for Detection of Raised Hands and Personal Identification by Deep Learning Algorithms for Camera Images

Abstract

Students often raise their hands in school classes, and the teacher calls on a student among those who raise their hands. However, when many people raise their hands, counting the number of raised hands takes time. Moreover, there is also the problem of missing some people and being confused about whom to call on. This paper uses YOLO to detect people who raise their hands and identify individuals using a face recognition system. Here we use the zoom function of the PTZ camera to perform face recognition in a wide-area. In addition, we construct a prototype system to automatically calls on a person among those who raised their hands on Jetson AGX Xavier.