Face Recognition Attendance System
Kamal K. Mistry
Student Department of Information Technology S. D. S. M. College, Palghar, Maharashtra, India
Abstract :The Face Recognition Attendance System Web App was created to make the attendance management procedure more efficient. This system is effective in enrolling attendance since it can recognize faces immediately and automatically so no external assistance is needed. To utilize the online application, no technical knowledge is necessary, which enables self-registration and self-authentication. This feature enhances system functionality where facial recognition technologies, identify specific features of an individual’s face and match it with saved data. The system also ensures efficient identification and accurate detection of attendance even in complex lighting or backgrounds. Security measures including encrypted transfer and storage of data are employed to safeguard the confidential data. This proposed technology addresses common issues such as time theft, human error, and time loss caused by legacy systems by digitizing the attendance process. Its advanced and web-oriented nature enables ease of installation and expansion to support institutions and corporations.
Keywords: Face Recognition, Attendance System, Machine Learning, Image Processing, Fast Api, Web Application, Real-time detection.
