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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: | Student Attendance System Using Face Recognition |
| Authors Name: | Deepali Mishra , Manu Mishra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_213245
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| Published Paper Id: | IJNRD2401332 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | In schools or colleges, we have two types of attendance systems, one is the teacher or professor calling students' names and the second is in front of students' names the student sign. We came up with a new attendance system model. It will detect the student's face and will send a WhatsApp message to the registered contact number of their parents and email to the teacher or professor. Humans can recognize faces and complexions. The computer is not intelligent. We must make it smart by creating and training the model. Video and Image are the core of computer vision. We must connect Python to a webcam, for creating images we need some drivers and a library. With the help of the OpenCV-python library, we can connect to a webcam. Every webcam has unique numbers. The internal webcam number is zero. The external webcam number is one. In this, we will use the Harras Cade model for face detection. Computers understand binary numbers and every binary number has unique pixels. It is consequently suggested that the article address each of these issues. Attendance reports will be generated and saved in Excel format following face recognition. The system is tested in a variety of settings including changes in lighting, head motions and the distance between the learner and the cameras. |
| Keywords: | Computer vision, OpenCV, NumPy, Local Binary Pattern Histogram, Harr Cascade. |
| Cite Article: | "Student Attendance System Using Face Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.d232-d236, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401332.pdf |
| Downloads: | 000118761 |
| 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:IJNRD2401332 Registration ID: 213245 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: d232-d236 Country: Satna, Madhya Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2401332 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2401332 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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