Smart home Management System with Face Recognition Based on ArcFace Model in Deep Convolutional Neural Network

In recent years, artificial intelligence has proved its potential in many fields, especially computer vision. Facial recognition is one of the most essential tasks field vision with various prospective applications from academic research to service. this paper, we propose an efficient deep learning approach facial recognition. Our utilizes architecture ArcFace model based on backbone MobileNet V2, convolutional neural network (DCNN). Assistive techniques increase highly distinguishing features With supports authentication combines hand gestures recognition, users will be able monitor and control his home through mobile phone/tablet/PC. Moreover, they communicate data connect smart devices easily IoT technology. The overall proposed 97% accuracy a processing speed 25 FPS. interface demonstrates successful functions real-time operations.