Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
The management of the attendance which is manual in fashion will create a huge burden on staff. This primitive fashion of attendance system where staff calls a student by his name or roll no. or the sheet is passed around the whole class for taking signatures on it, which can be easily manipulated by students. Many more technologies of attendance system like RFID, Fingerprint scanner and other biometric does exist in most of the institute or organization. These attendance systems require installations of gadgets which drives up the cost and has more maintenance and is also time consuming. This project paper aims to introduce a face recognition attendance system where no extra gadgets are required. When students will be gathered in the class, their faces will be captured from a live video feed and then compared with existing facial database of student’s directory. If it matches, then the attendance is marked along with the time.
"Attendance System Using Face Recognition Technique", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 6, page no.6 - 8, June-2021, Available :http://www.ijrti.org/papers/IJRTI2106002.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator