使用Python的面部识别自动考勤系统

Abhinav Chauhan, Shashwat Pandey, S. Bathla
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引用次数: 0

摘要

人脸识别是最有用的图像处理应用之一,在专业领域中起着重要作用。人脸识别是一个功能性问题,用于核查目的,明确涉及替补演员的参与。利用人脸识别的参与框架是一种通过利用面部生物统计学来感知学生的方法,该方法依赖于高质量的观察和其他PC进展。这一框架的进步是为了实现通过点名和保持笔纸记录来衡量参与的习惯过程的数字化。目前的参与方法冗长乏味。参与记录可以通过手动记录方便地控制。参与的习惯过程和现有的生物识别框架对中介机构无能为力。本文就是针对这众多问题而提出的。
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Automated Attendance System with Facial Recognition Using Python
Face Recognition is among the most useful picture handling applications and plays a significant part in the specialized field. Recognition of the human face is a functioning issue for verification purposes explicitly with regards to participation of understudies. Participation framework utilizing face recognition is a method of perceiving understudies by utilizing face biostatistics dependent on the top quality observing and other PC advances. The advancement of this framework is intended to achieve digitization of the customary process for gauging participation by calling names and keeping up with pen-paper records. Current participation methodologies are drawn-out and tedious. Participation records can be handily controlled by manual recording. The customary course of making participation and present biometric frameworks are powerless against intermediaries. This paper is accordingly proposed to handle this multitude of issues.
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