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

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.

Country : India

1 Aditya Waingankar2 Madhura Garge3 Dhananjay Chaudhari4 Saloni Kabadi5 Anjali Devi Patil

  1. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  2. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  3. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  4. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  5. Professor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

IRJIET, Volume 7, Issue 4, April 2023 pp. 163-167

doi.org/10.47001/IRJIET/2023.704026

References

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