The Internet deconstructs and reshapes the traditional classroom organization, the status of teachers, the authority of teaching materials and the role of students. Online Ideological and political education with the help of the Internet has become an inevitable trend of Ideological and political education. Mobile edge computing solves the high delay barrier when traditional cloud computing center provides services. It is a new technology with wide application prospects, which provides convenience for online education. At the network edge, the mobile edge computing service network can be established due to the deployment of small base stations. Mobile users can upload and migrate some computing intensive or delay sensitive tasks to the currently connected small base station, and then the mobile edge computing network uses the hardware resources on the small base station to assist users in processing such tasks. Face verification technology can be widely used in access control, attendance, government convenience services and other occasions that need identity verification. Hence, this paper proposes the immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computing. We use the combined technologies to construct the efficient model. The proposed framework is validated compared with the other state-of-the-art methods.

互联网解构和重塑了传统的课堂组织、教师的地位、教材的权威和学生的角色。借助互联网进行在线思想政治教育已成为思想政治教育的必然趋势。移动边缘计算解决了传统云计算中心提供服务时的高延迟障碍。它是一项具有广泛应用前景的新技术，为在线教育提供了便利。在网络边缘，由于部署了小基站，可以建立移动边缘计算服务网络。移动用户可以将一些计算密集或延迟敏感的任务上传迁移到当前连接的小基站，然后移动边缘计算网络利用小基站上的硬件资源来辅助用户处理此类任务。人脸验证技术可广泛应用于门禁、考勤、政府便民服务等需要身份验证的场合。因此，本文提出了基于人脸识别和基于云的移动边缘计算的在线引导沉浸式在线生物特征认证算法。我们使用组合技术来构建高效模型。与其他最先进的方法相比，所提出的框架得到了验证。本文提出了一种基于人脸识别和基于云的移动边缘计算的在线引导沉浸式在线生物认证算法。我们使用组合技术来构建高效模型。与其他最先进的方法相比，所提出的框架得到了验证。本文提出了一种基于人脸识别和基于云的移动边缘计算的在线引导沉浸式在线生物认证算法。我们使用组合技术来构建高效模型。与其他最先进的方法相比，所提出的框架得到了验证。