Smart Attendance System Using Face Recognition

Dr.R.S. Sabeenian, S. Aravind, P. Arunkumar, P. Harrish Joshua and G. Eswarraj

Making Attendance as smarter using recent technology and recognition in deep learning algorithms to build a system that will detect and recognize frontal faces of students in a classroom. ―A face is the front part of a person’s head from the forehead to the chin, or the corresponding part of animal‖ (Oxford Dictionary). Face identification is one of the biometric methods to make essential for this system. In human sociable, the front part of face is the most useful data as it contains important data about a group or individual. All person has the skill to identify individuals from their individual faces. The suggested solution is to develop a working model of a system that will promote attendance system in a classroom by recognize the frontal faces of students from a picture taken in a classroom. By making this framework, the problem of intermediary and students being marked present even though they are not physically present can easily be solved. In recent years, research has been taken out and face identification and recognition systems have been developed. Some of which are used on social media platforms, banking apps, government offices, etc. Since face recognition plays a vital role in mobile devices to make it perform and functions on particular operations. Using this idea as a base we make this for smart attendance system and it will spend minimum time than manual attendance. This model will be a successful technique to conduct the attendance and records of students.

Volume 12 | 05-Special Issue

Pages: 1079-1084

DOI: 10.5373/JARDCS/V12SP5/20201860