F.A.M.S. (Facial Attendance Management System)

Aditya WaingankarStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaMadhura GargeStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaDhananjay ChaudhariStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaSaloni KabadiStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaAnjali Devi PatilProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

Vol 7 No 4 (2023): Volume 7, Issue 4, April 2023 | Pages: 163-167

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 01-05-2023

doi Logo doi.org/10.47001/IRJIET/2023.704026

Abstract

This paper presents a system which consists of a door that unlocks with the help of face recognition and face detection with an attendance manager. The system has two sides of working for better clarification of attendance issue in institutes or workspaces, the two sides of system consist of: outside the door esp32 camera is programmed with face detection and face recognition that helps in unlocking the door and then we have the inside camera which refers to the pre-registered data of person to log the attendance in presence of authority.

In this system, a camera captures an image of a person's face and compares it to the registered image in the system's database. If there is a match, the person is identified, and their attendance is recorded. The system can be integrated with a door access control system, allowing the person to enter or exit a room or building based on their identification. To unlock a door using face recognition technology, the system is connected to an electronic solenoid lock that can be activated on meeting certain conditions. When a person's face is recognized, the system sends a signal to the electronic lock to unlock the door. This technology provides a convenient and secure way of managing access to restricted areas, reducing the risk of unauthorized access and ensuring accurate attendance records.

Keywords

face recognition, face detection, attendance manager, esp32 camera, solenoid lock


Citation of this Article

Aditya Waingankar, Madhura Garge, Dhananjay Chaudhari, Saloni Kabadi, Anjali Devi Patil, “F.A.M.S. (Facial Attendance Management System)” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 4, pp 163-167, April 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.704026

References
  1. Facial Recognition Attendance Management System Using Door Unlock," by K. V. Chetan and K. Ashwini. International Journal of Scientific Research in Computer Science and Engineering, Vol. 7, No. 2, 2019.
  2. "A Study on Facial Recognition-based Attendance Management System," by N. K. Jha and P. S. Bhalerao. International Journal of Engineering Research and General Science, Vol. 5, Issue 6, 2017.
  3. "Design and Implementation of an Automated Attendance Management System using Facial Recognition," by M. S. M. Sazzad, et al. International Journal of Advanced Computer Science and Applications, Vol. 9, No. 1, 2018.
  4. "Facial Recognition Based Attendance Management System Using Raspberry Pi," by A. Y. Chawan and M. R. Bhongade. International Journal of Advanced Research in Computer Engineering and Technology, Vol. 7, No. 3, 2018.
  5. "Development of a Facial Recognition-based Attendance Management System," by M. A. Khan, et al. Journal of Applied Science and Engineering, Vol. 21, No. 4, 2018.