Attendance System Based on the Face Recognition using Webcam

Author:

V. V. R. L. Sastry 1,Mudundi Susan 1,Malla Divya 1,Koribilli Dineesha 1,Maddinala Hemanth Kumar 1

Affiliation:

1. Raghu Institute of Technology, Dakamarri, Visakhapatnam, A.P. India

Abstract

The framework should have the ability to identify the 30% of students who are present in the study hall. The GUI should offer the ability to display the number of students in the framework. Discover students in the documents and 30% of the real images in the stories. The foundation of the framework's visuals should provide it the option to adjust to the existence of the understudies. When the conversation is concluded, the framework should be able to quickly deal with the image in order to achieve its goal of acknowledgment. therefore, five names each hour for lessons. The computation that is carried out within the framework will increase its accuracy by up to 20%.

Publisher

Naksh Solutions

Subject

General Medicine

Reference10 articles.

1. K. Senthamil Selvi, P. Chitrakala, A. Antony Jenitha, "Face Recognition Based Attendance Marking System", IJCSMC, Vol. 3, Issue. 2, February 2014.

2. Akshara Jadhav, Akshay Jadhav, Tushar Ladhe, Krishna Yeolekar, "Automated Attendance System Using Face Recognition", International Research Journal of Engineering and Technology (IRJET), Volume 4, Issue 1, Jan 2017.

3. Shireesha Chintalapati, M.V. Raghunadh, "Automated Attendance Management System Based On Face Recognition Algorithms", IEEE International Conference on Computational Intelligence and Computing Research, 2013.

4. B Prabhavathi, V Tanuja, V Madhu Viswanatham and M Rajashekhara Babu, "A smart technique for attendance system to recognize faces through parallelism", IOP Conf. Series: Materials Science and Engineering 263, 2017.

5. Yohei KAWAGUCHI, Tetsuo SHOJI, Weijane LIN, Koh KAKUSHO, Michihiko MINOH, "Face Recognition-based Lecture Attendance System", Oct 2014.

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