A simple security application using real-time face recognition

Facial recognition is an important research problem that best fits the purpose of the image analysis research field, covering many fields and disciplines, including security applications and commercial applications. The fact that face recognition applications are subject to different disciplines increases the interest in the studies that have been done and will be done in this field. In this work, we present a new structure that uses deep convolutional neural network for realtime face recognition. The proposed structure will use a low number of layers to perform realtime face recognition. The proposed application is to achieve sufficient real-time performance using transfer learning techniques. This application can be realized in low-cost adaptive security systems in low-level systems. Keywords: Deep Learning, Convolutional Neural Networks (CNN), Real Time Face Recognition