• Kapil Kadam
• Archana Deokate
• Sandip Mundhe
• Kajal Patil

Face recognition is among the most productive image-processing applications and has a pivotal role in the technical field. Recognition of the human face is an active issue for authentication purposes specifically in the context of attendance of students and staff. An attendance system using face recognition is a procedure of recognizing students by using face biostatistics based on high-definition monitoring and other computer technologies. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance by calling names and maintaining pen-paper records. Present strategies for taking attendance are tedious and time-consuming. Attendance records can be easily manipulated by manual recording. The traditional process of making attendance and present biometric systems are vulnerable to proxies. The main implementation steps used in this type of system are face detection and recognizing the detected face. The proposed automated attendance system using face recognition is a great model for marking the attendance of students in a classroom and for the staff. This system also assists in overcoming the chances of proxies and fake attendance. In the modern world, a large number of systems using biometrics are available. However, facial recognition turns out to be a viable option because of its high accuracy along with minimum human intervention. This system is aimed at providing a significant level of security. Hence, a highly pro-efficient attendance system for classroom attendance needs to be developed which can perform recognition on multiple faces at one instance. Also, there is no requirement for any special hardware for its implementation.

Facial recognition, attendance management system, Convolutional Neural Network, Principle Component Analysis.

"Face Identification Attendance System using Image Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.295-300, May-2023, Available :http://www.jetir.org/papers/JETIRFX06052.pdf

"Face Identification Attendance System using Image Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp295-300, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06052.pdf