Contactless Smart Attendance System Using Facial Recognition and QR Code
Simran B. Wanjare1, J. R. Mahajan2, S. S. Gadekar3
1Simran B.Wanjare,Department of Electronics and Telecommunication, Shreeyash Collage of Engineering & Technology, Aurangabad, (Maharashtra), India.
2Dr. J. R. Mahajan, Department of Electronics and Telecommunication, Shreeyash Collage of Engineering & Technology, Aurangabad, (Maharashtra), India.
3Prof. S. S. Gadekar, Department of Electronics and Telecommunication, Shreeyash Collage of Engineering & Technology, Aurangabad, (Maharashtra), India.
Manuscript received on 01 July 2024 | Revised Manuscript received on 22 July 2024 | Manuscript Accepted on 15 August 2024 | Manuscript published on 30 August 2024 | PP: 13-16 | Volume-13 Issue-6, August 2024 | Retrieval Number: 100.1/ijeat.F451613060824 | DOI: 10.35940/ijeat.F4516.13060824
Open Access | Editorial and Publishing Policies | Cite | Zenodo | OJS | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Over the years, manual attendance management has been carried out across most educational institutions. To overcome the problems of manual attendance, I have developed a Smart Attendance System Using Facial Recognition [2][5] & QR Code [1]. Attendance monitoring is one of the crucial administrative processes in all educational institutions and organizations. A wellstructured system will enable the institutions to grow increasingly. It helps students, teachers, and parents in all ways to improve attendance and security, thereby reducing the time and effort required of teachers. The traditional method of checking students’ IDs and recording their presence or absence is a routine process that is followed regularly. A contactless innovative Attendance system is proposed using facial recognition and QR codes. Firstly, a database containing the facial images and QR scanner of the students in a particular class is constructed. This system is designed to enhance students’ engagement within the university, facilitate frequent communication with parents, prevent proxy attendance, and generate detailed reports for future reference.
Keywords: C# language, Facial Recognition, QR.
Scope of the Article: Electrical and Electronics