Paper Title
Attendance Monitoring Using Face Recognition
Article Identifiers
Authors
Dr.Kalpana S , Godwin Bright M , Raju Kumar R , Swarna Preetha R
Keywords
Face Recognition, Deep Learning, Face Detection, CNN
Abstract
In a changing environment, automatic facial recognition technology has advanced significantly. Smart Attendance with Real Time Face Recognition is a practical solution that helps with managing the student attendance system on a daily basis. The technique of recognizing a student's face for collecting attendance using facial biometrics based on high-definition monitor footage and other information technology is known as a face recognition-based attendance system. In the face recognition project, a computer system will be able to quickly and accurately locate and identify human faces in pictures or videos being recorded by a security camera. The current issue with attendance tracking is that if the image that was collected doesn't match the student's face in the database, it is stored as a new image. In order to address the drawbacks of the proposed system, the student's face must be captured in a way that allows all of the student's facial features to be detected, as well as the student's seating and posture. Many algorithms and methods have been created to enhance facial recognition ability, however deep learning is the idea that will be used in this case.
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How To Cite (APA)
Dr.Kalpana S, Godwin Bright M, Raju Kumar R, & Swarna Preetha R (May-2023). Attendance Monitoring Using Face Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e52-e57. https://ijnrd.org/papers/IJNRD2305406.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : e52-e57
Other Publication Details
Paper Reg. ID: IJNRD_194923
Published Paper Id: IJNRD2305406
Downloads: 000121986
Research Area: Engineering
Country: Theethipalayam , coimbatore, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305406.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305406
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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