• L.Sajila
• S.Lurdhu Jayasree
• S.K.Shamini
• Jenitta Augnes J
• Sathish Kumar M K

A facial attendance management system in window application using deep learning is a computer vision technology that provides an automated solution for attendance management. The system utilizes the OpenCV library to detect and recognize faces from images or live video feeds. The system's algorithm captures facial features and matches them with pre-existing data, such as a database of students or employees, to identify and record attendance. This technology eliminates the need for manual attendance-taking, making it more efficient and accurate. This abstract discusses the benefits and features of a facial attendance management system in window application using deep learning, including its reliability, accuracy, and ease of integration with existing systems. We will also explore the challenges that need to be addressed, such as privacy concerns and system security, to ensure the widespread adoption of this technology. Overall, a facial attendance management system in window application using deep learning has the potential to streamline attendance management processes and provide valuable data to help improve institutional or organizational efficiency.

Attendance management system, camera, face, face dataset, face recognition, Infrared, NFC.

"FACIAL ATTENDANCE MANAGEMENT SYSTEM IN WINDOW APPLICATION WITH EMAIL UPDATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i860-i864, June-2023, Available :http://www.jetir.org/papers/JETIR2306896.pdf

"FACIAL ATTENDANCE MANAGEMENT SYSTEM IN WINDOW APPLICATION WITH EMAIL UPDATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi860-i864, June-2023, Available at : http://www.jetir.org/papers/JETIR2306896.pdf