摘要
随着人工智能领域的飞速发展,越来越多的基于大数据、机器学习等技术的创新应用使得生活更加快捷便利。为了规范、高效地完成学生考勤。本研究主要分析目前常见的几种生物识别方法的考勤系统进行对比,分析人脸识别在考勤中的优势和不足。为后期将人脸识别技术运用在考勤中发挥更好的辅助作用。
With the rapid development of artificial intelligence,more and more innovative applications based on technologies such as big data and machine learning have made life faster and more convenient.In order to standardize and efficiently complete student attendance.This research mainly analyzes the current attendance systems of several common biometric identification methods to compare and analyze the advantages and disadvantages of face recognition in attendance.For the later use of face recognition technology in the attendance to play a better auxiliary role.
作者
吴永斌
WU Yong-bin(Dehong Teachers’College,College of Information Technology,Dehong 678400,China)
出处
《电脑知识与技术》
2020年第19期177-178,181,共3页
Computer Knowledge and Technology
基金
德宏师范高等专科学校校级课题(XJ201810)。
关键词
人脸识别
物联网
考勤
face recognition
Internet of Things
attendance
