Real Time Snap Attendence
Aarya Gavaskar, Atharva Adsul, Ahmad Ali Sayyed, Prassana Atram, Prof. Anil Kadu · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: Traditional attendance methods, such as manual roll calls and sign-in sheets, are often time-consuming, prone to errors, and ineffective in preventing proxy attendance. Face recognition technology offers a promising solution to these challenges by providing an accurate and efficient way to mark attendance. This paper presents Snap Attendance, a facial recognition-based attendance management system that utilizes deep learning algorithms to identify and verify student identities. Snap Attendance streamlines the attendance process, reduces administrative burden, and enhances attendance accuracy.