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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Attendance Monitoring Using Face Recognition |
| Authors Name: | Dr.Kalpana S , Godwin Bright M , Raju Kumar R , Swarna Preetha R |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194923
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| Published Paper Id: | IJNRD2305406 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| 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. |
| Keywords: | Face Recognition, Deep Learning, Face Detection, CNN |
| Cite Article: | "Attendance Monitoring Using Face Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e52-e57, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305406.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305406 Registration ID: 194923 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: e52-e57 Country: Theethipalayam , coimbatore, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305406 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305406 |
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