Raspberry Pi Aided Daily Attendance Management System using Face Recognition


Authors : Kyaw Swar Thu Yein, Aung Soe Khaing

Volume/Issue : Volume 4 - 2019, Issue 7 - July

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2YiwYTk

To identify a person in real environment, face is the essential recognizable proof of any human in daily lives. Image processing based attendance system is the simplest way for keeping attendance in many organizations. Traditional way of enrolling one by one on paper takes some time to record attendance and also it is insecure. For each lecture this is inefficient. To avoid these losses, automatic process is intended to use which is processing with image. In this novel approach, biometric identification system of face is used to identify daily attendance and Raspberry Pi is applied as manipulating processor. In the proposed system, Eigenface algorithm is used because Eigen-face algorithm is less wastage of time and more effective than other algorithms.

Keywords : Haar Cascade, K-Nearest Neighbour (K-NN), Opencv, Principle Component Analysis (PCA), Python and Raspberry Pi.

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