Automated Attendance System Based on Face Recognition Using Deep Learning Techniques

Automated Attendance System Based on Face Recognition Using Deep Learning Techniques

1.Dr. M. Satyanarayana, Professor, 2.MS.Hashita Pusapati, 3.Mr.Sappati Sai Satwik

4.Ms. Suru Sirishma , 5.Mr. I. Dillep Kumar

Department of Computer Science Lendi Institute of Engineering and technology

JNTU GV, Vizianagaram,Andhra Pradesh,India

satyanarayana.m@lendi.edu.in, hashitapusapati012@gmail.com, sappatisaisatwik@gmail.com, sirishmasiri527@gmail.com,           Ungaraladileepkumar15@gmail.com

Abstract—Effective attendance is essential to the education process. Teachers and school administrators need to know how much time each student spends in the classroom. Because of this, many schools use automated attendance systems (AASs). These systems save time and space by enabling schools to register and track students without the need for physical identification cards or teachers. To keep track of students, teachers can use smart cards that monitor attendance records. Biometric technology allows schools to verify student attendance by comparing their biographical data to student identification card entries. A good attendance system helps school administrators maintain proper attendance records for each child. However, no system works effectively when only some required IDs are present among the school’s student population. Implementing AASs requires proper planning and implementation- but it will undoubtedly save time and space in your school’s classroom when properly executed and utilized.

Keywords—Attendance System, Face Recognition, Machine Learning, AASs, Automated Attendance