• Sonal Dhuldhaj

In the COVID-19 situation, the physical interaction of humans with common devices for attendance can be life-threatening. In this situation, taking attendance in a classroom, Lecture Hall, Library or at the exam centre, for attendance of workers, employees at workplace are very difficult and time-consuming task, if recorded manually or by using any physical interactive biometric devices. Moreover, handling record is itself a tough task. Smart and automated attendance is managed by using various biometric systems like Thumb recognition, Face recognition, etc. In a computer vision system, authentication is a major issue. In most systems, the Human face is important for recognition and is widely used in many applications like human monitoring, attention analysis, human-machine interaction, etc. Here we tried to introduce a system that takes automatic attendance in a classroom, workplaces, etc by using a Face recognition system. The proposed system mainly is categorized into two steps i.e., Face detection and Face recognition. Viola-Jones algorithm is used to detect the faces from the current frame. This algorithm is used to differentiate the pattern of face and non-face. It will locate the faces in a frame. After detection of face, we used a face recognition concept to recognize the students/employees, where the Local Binary Pattern feature descriptor is used to identify the student/employee texture to recognize the ID. Using Face Recognition, the record of student/employee is updated in the database. Student/Employee records are stored in a database. When the face of the individual student/employee matches with one of the faces stored in the database then the attendance is recorded.

Face Detection, Face Recognition, Viola-Jones Algorithm, Local Binary Pattern (LBP)

"Contactless Attendance System in COVID-19 scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a803-a807, July-2021, Available :http://www.jetir.org/papers/JETIR2107105.pdf

"Contactless Attendance System in COVID-19 scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa803-a807, July-2021, Available at : http://www.jetir.org/papers/JETIR2107105.pdf