Smart Attendance System using Face Recognition

Jayaraj Viswanathan, Kuralamudhan E, Navaneethan S, Veluchamy S
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Abstract

  Face recognition offers a wide range of valuable applications in social media, security, and surveillance contexts. The software used for building facial recognition algorithms is Python and OpenCV. "Attendance using Face Recognition" is a method for tracking and managing attendance that makes use of facial recognition technology. By seamlessly integrating the 'Face Recognition' module, a native Python feature, and the OpenCV library, our system excels in accuracy and dependability. The system then stores attendance records in a database and provides real-time reports. In this article, we demonstrate how to create a face recognition system in Python utilizing the built-in "Face Recognition" module and the OpenCV library. Our results show that our system achieves high accuracy and robustness while being efficient and scalable, catering to a wide spectrum of educational institutions, organizations, and enterprises.
使用人脸识别的智能考勤系统
人脸识别在社交媒体、安全和监控领域有着广泛的应用价值。用于构建人脸识别算法的软件是 Python 和 OpenCV。"人脸识别考勤 "是一种利用人脸识别技术跟踪和管理考勤的方法。通过无缝集成 "人脸识别 "模块(Python 的一个本地功能)和 OpenCV 库,我们的系统在准确性和可靠性方面表现出色。系统会将考勤记录存储在数据库中,并提供实时报告。在本文中,我们演示了如何利用内置的 "人脸识别 "模块和 OpenCV 库在 Python 中创建一个人脸识别系统。结果表明,我们的系统实现了高准确性和鲁棒性,同时具有高效性和可扩展性,可满足教育机构、组织和企业的广泛需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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