计算机与现代化Issue(12)：26-31,6.DOI:10.3969/j.issn.1006-2475.2025.12.004
基于边缘计算的智能监考系统
Intelligent Proctoring System Based on Edge Computing
摘要
Abstract
To address the lack of remote supervision technologies,non-traceability of exam behavior,and difficulty in real-time verification of examinee identities in online remote examinations,this paper proposes an intelligent proctoring system based on edge computing.The system consists of exam terminals,teacher terminals,exam site servers,and a provincial service cluster.On the exam terminals,the CLAHE method is used to equalize image illumination before the images are transmitted to the model,with OpenVINO employed to accelerate the detection process.During the examination,the camera randomly captures desktop images containing the examinee's face,and these images are processed by the model on the exam terminal.These im-ages are temporarily stored on the exam site server,and after the exam,the records are sent to the provincial cluster server for post-exam verification.Experimental results demonstrate that the system has low hardware performance requirements,improves robustness to lighting variations,achieves a model accuracy of approximately 95%,and shows better fault tolerance in network performance.The system has already been deployed and applied in a remote border region.关键词
边缘计算/人脸识别/行为检测/实时监考/深度学习Key words
edge computing/face recognition/behavior detection/real time invigilation/deep learning分类
信息技术与安全科学引用本文复制引用
李京阳,薛化建,杨勇,任鸽..基于边缘计算的智能监考系统[J].计算机与现代化,2025,(12):26-31,6.基金项目
新疆维吾尔自治区重点研发专项(2020B02018-2) （2020B02018-2）
铜陵学院校级教学研究项目(2023xj022) （2023xj022）
