Face Recognition–based Attendance System

Teachers often face a significant burden when it comes to manually managing attendance. To address this challenge, an intelligent automatic time attendance management system is employed. However, ensuring proper authentication poses a crucial concern for this system. Biometric data, particularly facial recognition, is commonly utilized to enhance these smart time attendance systems. Facial recognition serves as one of the biometric techniques aimed at improving the system. The key implementation steps in such a system involve face recognition and the recognition of identified faces. This article proposes a plan for introducing a system to track students' attendance automatically in schools. The model takes advantage of various methods for recognising human faces, such as Eigenface values, PCA, and CNNs. The model provides a useful tool for keeping track of students' attendance and records by matching images of their faces with those in a database.