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)
Attendance is alwaysmost important methodto be followed and to monitoring student activities and ensuring students are eligible to complete the course. Despite the advances in technology most educational institutions stillusing the old registration system. In this study, we offer a novel method for taking student attendance in the classroom that is more efficient, less time consuming, and can be done utilizing equipment that are already in use. Which are easily accessible with the help of Smartphones,laptops and desktops are examples. The proposed system has the following features The knowledge of machine learning have been put to good use in the creation of an intelligent attendance system with the aid of facial recognition technology.
Keywords:
Machine learning, Face recognition, Smart attendance, Monitoring, Attendance system, Facecapturing
Cite Article:
"Student Smart Attendance Through Face Recognition using Machine Learning Algorithm", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.121-124, May-2022, Available :http://www.ijnrd.org/papers/IJNRDA001023.pdf
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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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