基于深度学习的考前考场身份验证系统解决方案UML软件建模

UML software modeling of a pre-examination identity verification system solution based on deep learning

针对目前线下大型考试考前身份验证过程中的一系列问题,结合当前AI技术发展的背景,提出了一种基于深度学习的考前考场身份验证系统的解决方案,并使用UML统一建模语言对该系统解决方案进行了UML建模,通过用例建模等详细地阐述了系统需求,同时对用例进行了分析。

In the paper,aiming at a series of challenges encountered in the pre-examination identity verification process of large-scale offline examinations and considering the current advancements in AI technology,a solution based on deep learning for the identify verification system of pre-examination exams is proposed.The proposed system is modeled using the Unified Modeling Language(UML),providing a comprehensive representation of the system solution.Detailed system requirements are elucidated through use case modeling,and an analysis of the use cases is conducted.