Authors :
Riya John; Akhilesh.s; Gayathri Geetha Nair; Jeen Raju; Krishnendhu.B
Volume/Issue :
Volume 5 - 2020, Issue 8 - August
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/33ew227
DOI :
10.38124/IJISRT20AUG617
Abstract :
Attendance management is an important
procedure in an educational institution as well as in
business organizations. Most of the available methods
are time consuming and manipulative. The traditional
method of attendance management is carried out in
handwritten registers. Other than the manual method,
there exist biometric methods like fingerprint and
retinal scan, RFID tags, etc. All of these methods have
disadvantages, therefore, in order to avoid these
difficulties here, we introduce a new method for
attendance management using deep learning
technology. Using deep learning we can easily train a
data-set. Real-time face algorithms are used and
recognized faces of students in real-time while attending
lectures. This system aims to be less time- consuming in
comparison to the existing system of marking
attendance.The program runs on anaconda flask
server.Here real time image is captured using mobile
phone camera. The faces on the image of the persons
are then recognized and attendance is marked on an
excel file.
Keywords :
Flask Server, Face Detection, Face Embedding, Face Recognition
Attendance management is an important
procedure in an educational institution as well as in
business organizations. Most of the available methods
are time consuming and manipulative. The traditional
method of attendance management is carried out in
handwritten registers. Other than the manual method,
there exist biometric methods like fingerprint and
retinal scan, RFID tags, etc. All of these methods have
disadvantages, therefore, in order to avoid these
difficulties here, we introduce a new method for
attendance management using deep learning
technology. Using deep learning we can easily train a
data-set. Real-time face algorithms are used and
recognized faces of students in real-time while attending
lectures. This system aims to be less time- consuming in
comparison to the existing system of marking
attendance.The program runs on anaconda flask
server.Here real time image is captured using mobile
phone camera. The faces on the image of the persons
are then recognized and attendance is marked on an
excel file.
Keywords :
Flask Server, Face Detection, Face Embedding, Face Recognition
