Classification of people in motion images by face recognition

Today, people-oriented jobs have started to give way to automatic systems with the development of technology. For this reason, in order to fulfill the tasks given to computers and machines, the work that people will do to computers rather than the work to be done is gaining importance day by day. In order for a system to work automatically, a learning mechanism and a decision-making mechanism must be followed in succession. The importance of face recognition is increasing day by day, especially with the systems developing on the cyber security side. The activities of the face recognition system, especially used by the security forces, are increasing day by day around the world. At this point, some requirements of face recognition systems arise. To meet these requirements, software that can perform face recognition techniques is used. The main purpose of these software is to give meaning to the images converted to digital with auxiliary tools. In this study, after detecting the faces in the moving images, in order to classify the detected face, the face is named and the image of the face is saved in a folder with the name given to the face and creates a folder where the human faces are stored with the name. As a result of this process, data can be collected more easily into databases consisting of human faces or it can be an easy learning method for applications using face recognition technology.