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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 SYSTEM USING VIDEOBASED FACE RECOGNITION |
| Authors Name: | Narendra Kumar Machanuru , Lohith Kukkadapu , Nikhil kura |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_191638
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| Published Paper Id: | IJNRD2305208 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | —The main aim of this project is to create a new attendance system for educational institutions, which will rely on facial recognition technology. The objective is to upgrade the current attendance system and make it more efficient and effective than it currently is. The current system is outdated and unclear, leading to inaccurate and inefficient attendance tracking. When the authorities cannot enforce the rules that are existing under the previous system, several complications develop. The face recognition system will be the technology at work. A person's face is a distinctive feature that can be used to identify them. Since faces are unique and cannot be easily duplicated, they are commonly used for identification purposes. In this project, face databases will be created to provide data for the recognition algorithm. During attendance recording, the faces of individuals will be compared against the database in an attempt to identify them. If a match is found, the individual's attendance will be automatically recorded, and the necessary information will be added to an Excel spreadsheet. Tracking student attendance in virtual educational institutions is a difficult task, particularly when done manually, as it consumes a lot of time and effort. Furthermore, due to the absence of a reliable attendance system, false attendance is common. Since a person's face is the most distinguishing characteristic, this paper discusses the innovation of a real-time attendance system based on face detection using the frontal face recognition approach. The paper also outlines a powerful algorithm that uses Haar cascade and an open-source image processing framework called OpenCV. |
| Keywords: | LBPH, Haar Cascade, Attendance, Face recognition, Database |
| Cite Article: | "ATTENDANCE SYSTEM USING VIDEOBASED FACE RECOGNITION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c51-c56, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305208.pdf |
| Downloads: | 000118765 |
| 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:IJNRD2305208 Registration ID: 191638 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: c51-c56 Country: HYDERABAD, TELANGANA, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305208 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305208 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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