The overall objective of the main project is to propose and develop a system of facial authentication in unlocking phones or applications in phones using facial recognition. The system will include four separate architectures: face detection, face recognition, face spoofing, and classification of closed eyes. In which, we consider the problem of face recognition to be the most important, determining the true identity of the person standing in front of the screen with absolute accuracy is what facial recognition systems need to achieve. Along with the development of the face recognition problem, the problem of the anti-fake face is also gradually becoming popular and equally important. Our goal is to propose and develop two loss functions: LMCot and Double Loss. Then apply them to the face authentication process.

翻译：本项目总体目标是提出并开发一套利用面部识别解锁手机或手机应用的人脸认证系统。该系统将包含四个独立架构：人脸检测、人脸识别、人脸活体检测以及闭眼分类。其中，人脸识别问题被视为最关键环节——以绝对精度确定屏幕前人员的真实身份是人脸识别系统必须实现的核心目标。随着人脸识别技术的发展，反伪造人脸问题也日益普及且同等重要。我们致力于提出并开发两种损失函数：LMCot损失和Double损失，并将其应用于人脸认证流程。