基于神经网络技术的考勤系统人脸识别

D. Prangchumpol
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引用次数: 3

摘要

人脸识别是从多方面考虑这一专门的感知问题而来的,如申请帮助检查服务员。为了解决这个问题,许多系统已经完全改变了,因为这种演变,以获得更准确的结果。本研究的目的在于开发更有效的面向学生的陪读系统,并使系统的机制更易于学生验证。考勤系统采用云存储。本研究的实验目的是寻找利用神经网络技术进行人脸识别的方法,其识别率高达95%。这种模式适用于中学和大学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition for Attendance System Using Neural Networks Technique
Face recognition have come from considering various aspects of this specialized perception problem such as apply for help checking attendant. In order to solve this problem, many systems have been completely changed due to this evolve to achieve more accurate results. This research aims to develop the facing attendant system to be more effective and the mechanic of the system, which students can easily verify. The cloud storage was used for Attendance System. The experiment of this research is to find the way to recognize the face by using the technique of Neural Networks, which can correctly recognize up to 95%. This model can apply with school and university.
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