Smart Attendance Marking System using Facial Recognition

Nowadays, face recognition has become one of the key research regions in computer technology. Due to this scientists share a keen interest in this area. In this paper, we proposed an application of facial recognition in attendance marking system. The attendance marking system is a difficult process...

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Bibliographic Details
Published in:Research Journal of Science and Technology 2019-04, Vol.11 (2), p.101-108
Main Authors: Kumar, Neela Ashish, Swarnalatha, P, Chowdary, Prudhvi, Naidu, Jai Krishna, Kumar, Kailasa Sandeep
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Automation
Biometrics
Classification
Classrooms
Computer architecture
Computer science
Educational technology
Face recognition
Information technology
International conferences
Internet of Things
Literature reviews
Luminous intensity
Machine learning
Marking systems
Neural networks
Pattern recognition
Principal components analysis
Signal processing
Students
Time and attendance systems
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Summary:Nowadays, face recognition has become one of the key research regions in computer technology. Due to this scientists share a keen interest in this area. In this paper, we proposed an application of facial recognition in attendance marking system. The attendance marking system is a difficult process if it is done manually when there is a huge classroom with more number of students which is time-consuming. By using this facial recognition system we can avoid the issues of fake attendance, proxies and save time. In previous facial recognition attendance systems, there were some drawbacks such as intensity of light, head pose etc. The main research of this paper is to overcome those problems and provide the most accurate attendance marking system. This system which is primarily based face detection and recognition algorithms mechanically detect the student and mark the attendance when he enters the school room. The device architecture and algorithms utilized in each stage are defined on this paper. We used algorithms such as Viola-Jones for face detection, PCA for feature selection and SVM for classification. When as compared to conventional attendance marking system the proposed system saves time and effective way to maintain attendance and records of students.
ISSN:0975-4393
2349-2988
DOI:10.5958/2349-2988.2019.00016.0