使用智能人脸识别的实时课堂出勤监测

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI:10.1109/HNICEM48295.2019.9072846

Ma. Ian P. Delos Trinos, Jozar H. Rios, Keith Gabriel O. Portades, Paulo Rae O. Portades, Renielle Miguel P. Langreo, Mideth B. Abisado

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引用次数: 0

摘要

学生在课堂学习中的出勤率通常成为教师在监控和记录保存方面的痛苦赌注。本研究将图像处理技术应用于人脸识别，为解决这一问题提供了一种方法。开发了实时考勤软件。ISO 9126压力表的功能稳定性，可用性，可靠性，便携性，效率和可维护性。功能和用户接受度在软件工程的范围内进行了测量，并测量了可接受的平均非常可接受的评级3.74。

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Real-time Class Attendance Monitoring using Smart Face Recognition

Student attendance in classroom-based learning usually becomes a pain stake for teachers in terms of monitoring and records keeping. The study provides a solution to this by using the technology of image processing applied in facial recognition. A software was developed to check the student attendance in real-time. The ISO 9126 gauges for functional stability, usability, reliability, portability, efficiency, and maintainability. The functionalities and user acceptance were measured within the bounds of software engineering and measured acceptable to a mean very acceptable rating of 3.74.

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2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )

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