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作 者:王耀东 陈燕 徐佳慧 徐超 WANG Yaodong;CHEN Yan;XU Jiahui;XU Chao(School of Electronic and Electrical Engineering,Bengbu University,Bengbu,Anhui 233030,China)
机构地区:[1]蚌埠学院电子与电气工程学院,安徽蚌埠233030
出 处:《计算机应用文摘》2024年第17期29-32,共4页Chinese Journal of Computer Application
基 金:国家级大学生创新创业训练项目:基于人脸识别技术的网课教学系统(20221135011)。
摘 要:随着网课的普及,导致教师无法对学生面对面授课,使学生“代刷”“代课”现象日益严重。因此,迫切需要一种方式来监督学生学习,以便随时观察并及时记录学生的学习情况。文章设计了一个基于人脸识别技术的网课教学系统。首先,阐述了相关的研究背景;其次,介绍了基础理论算法,并将学生的人脸信息与数据库中的记录进行比对核实。在网课教学过程中,系统会多次确认学生的身份。该系统通过算法对识别对象进行图像获取、Retinex预处理、图像特征提取和分类,并根据数据库中的学生照片信息,确保在各种状态下都能正确识别出学生本人是否在上课和学习。With the popularity of online courses,teachers and students' are unable to teach face-toface,leading to an increasingly serious phenomenon of students''“proxy brushing”and“substitute teaching”.Therefore,there is an urgent need for a way to monitor students'learning status in order to observe and record their learning progress in a timely manner.The article designs an online course teaching system based on facial recognition technology.Firstly,the relevant research background was elaborated;Secondly,the basic theoretical algorithms were introduced,and the students''facial information was compared and verified with the records in the database.During the online course teaching process,the system will confirm the student’s identity multiple times.The system uses algorithms to obtain images,preprocess Retinex,extract image features,and classify recognized objects.Based on the student photo information in the database,it ensures that the student can be correctly identified in various states whether they are in class or studying.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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