Smart Identity Management System by Face Detection Using Multitasking Convolution Network

Figure 2

The FaceNet architecture receives the input image after the face has been detected by MTCNN, where the deep learning architecture is used to extract the best features followed by L2 normalization. The result of this architectural processing is facing embeddings that are forwarded to the triplet loss function during training.