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Proceedings Paper

A real-time face recognition for class participation enrollment system over WebRTC
Author(s): Manop Phankokkruad; Phichaya Jaturawat; Pasinee Pongmanawut
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Paper Abstract

In the classroom, students can get the most benefit for themselves when attend and participate in the classroom. Roll-call is a classical method that mostly uses for the class participation enrollment. The time that used for this method is depended on the number of students; the more number of students, the more time to spend. This work presents the method that improves the class participation enrollment process Thus, we developed the face detection and face recognition system by applying the WebRTC. Since it is a platform independent, we could capture the participant faces from anywhere without an installation. In addition, the three standard face detection and recognition algorithms were applied in two main processes properly. The result showed that system can improve the class participation enrollment accuracy to be more precise and persuaded the student to attend the class as well. Moreover, the system can install to the classroom easily because it is developed in form of the web application and needs an only web camera for the additional device.

Paper Details

Date Published: 29 August 2016
PDF: 6 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330V (29 August 2016); doi: 10.1117/12.2244883
Show Author Affiliations
Manop Phankokkruad, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Phichaya Jaturawat, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Pasinee Pongmanawut, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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