Abstract: Face recognition systems are essential in practically every industry in our digital age. One biometric that is frequently utilized is face recognition. It has numerous more benefits in addition to being useful for security, identity, and authentication. Due to its non- invasive and contactless nature, fingerprint and iris recognition systems are still commonly employed despite their lower accuracy. Additionally, facial recognition systems can be utilized in companies, institutions, and schools to indicate attendance. With the help of this system, a class attendance system that makes use of the idea of facial recognition in place of the labor-intensive and time- consuming manual attendance system currently in use. Also, there might be opportunities for proxy attendance. As a result, this mechanism becomes more necessary. The development of the database, face detection, face recognition, and attendance updating are the four stages of this system. Images of students in class are used to develop databases. The Haar-Cascade classifier and the Local Binary Pattern Histogram technique are used, respectively, for face detection and recognition. Faces are identified and detected from the classroom's live streaming footage. At the conclusion of the session, attendance will be mailed to the appropriate faculty member.
This abstract introduces a Face Recognition-based Attendance Management System tailored for educational institutions. The system employs facial recognition technology to automate attendance tracking in schools or colleges. By analyzing facial features, it accurately identifies students, reducing the need for manual attendance marking. This technology adapts to various environmental conditions, ensuring reliable performance. The system enhances overall efficiency, minimizes errors, and provides a secure and convenient solution for managing attendance in educational settings. Its user-friendly interface facilitates easy integration into the existing educational infrastructure, offering a modern and reliable alternative to traditional attendance methods.
Cite:
Afifa Siddiqui, "A Review Paper on Face Recognition Based Attendance Management System", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 12, no. 2, 2024, Crossref https://doi.org/: 10.17148/IJIREEICE.2024.12208.
Copyright Form