Class Attendance Management System using Facial Recognition
Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Due to an unusually high number of students present during the lecture there will always be a probability of proxy attendance(s).Attendance marking with conventional methods has been...
Saved in:
| Published in: | ITM web of conferences Vol. 32; p. 2001 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
| Published: |
Les Ulis
EDP Sciences
2020
|
| Subjects: | |
| ISSN: | 2271-2097, 2431-7578, 2271-2097 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Due to an unusually high number of students present during the lecture there will always be a probability of proxy attendance(s).Attendance marking with conventional methods has been an area of challenge. The growing need of efficient and automatic techniques of marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics like fingerprint and Radio frequency Identification tags etc., However,these techniques lack the element of reliability. In this proposed project an automated attendance marking and management system is proposed by making use of face detection and recognition algorithms. Instead of using the conventional methods, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology. The main objective of this work is to make the attendance marking and management system efficient, time saving, simple and easy. Here faces will be recognized using face recognition algorithms. The processed image will then be compared against the existing stored record and then attendance is marked in the database accordingly. Compared to existing system traditional attendance marking system, this system reduces the workload of people. This proposed system will be implemented with 4 phases such as Image Capturing, Segmentation of group image and Face Detection, Face comparison and Recognition, Updating of Attendance in database. |
|---|---|
| Bibliography: | ObjectType-Conference Proceeding-1 SourceType-Conference Papers & Proceedings-1 content type line 21 |
| ISSN: | 2271-2097 2431-7578 2271-2097 |
| DOI: | 10.1051/itmconf/20203202001 |