• DR.Vandana Inamdar
• Harshada Kangude
• Harshal Valvi
• Sneha Rakshe

In traditional attendance systems, manual recording methods are prone to errors and time-consuming processes. With advancements in facial recognition technology, an automated attendance system based on multiple face recognition techniques offers a more efficient and accurate solution.The "Attendance System Using Multiple Face Recognition" aims to streamline the attendance process by leveraging the power of computer vision and machine learning algorithms. The system captures and analyzes facial features of individuals, enabling automated attendance tracking without the need for physical contact or manual intervention.

VGG16,cnn,neural network

"ATTENDANCE SYSTEM USING MULTIPLE FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h67-h69, May-2023, Available :http://www.jetir.org/papers/JETIR2305711.pdf

"ATTENDANCE SYSTEM USING MULTIPLE FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph67-h69, May-2023, Available at : http://www.jetir.org/papers/JETIR2305711.pdf