This paper is published in Volume-5, Issue-2, 2019
Area
Computer Engineering
Author
Aditya Ladage, Pooja Pache, Sahil Maniar, Sheetal Pereira
Org/Univ
K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India
Pub. Date
16 April, 2019
Paper ID
V5I2-1866
Publisher
Keywords
YOLO (You Only Look Once), Siamese, CNN (Convolutional Neural Network), R-CNN (Region based Convolutional Neural Network), DNN (Deep Neural Networks), Darknet, CUDA

Citationsacebook

IEEE
Aditya Ladage, Pooja Pache, Sahil Maniar, Sheetal Pereira. E-attendance system using face recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aditya Ladage, Pooja Pache, Sahil Maniar, Sheetal Pereira (2019). E-attendance system using face recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Aditya Ladage, Pooja Pache, Sahil Maniar, Sheetal Pereira. "E-attendance system using face recognition." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Traditionally, the attendance of the students has been a major concern for the colleges and the faculties have to spend quite some time of their lectures for taking the attendance manually. In this paper, we are introducing a new way of attendance monitoring by making use of smartphones available with the teachers. We have suggested the use of YOLO algorithm for face detection and Siamese network for face recognition. This system will automatically mark the attendance of the students and thereby save the time and efforts for the faculties. The designed system will be quite efficient and reliable as Siamese network has proven to render high accuracies in face recognition.