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)
The manual process of recording attendance in educational institutions and workplaces is laborious, prone to errors, and often ineffective. In response, automatic attendance systems have gained favor due to their capacity to streamline the procedure, heighten precision, and reinforce security. This study introduces an inventive Automatic Attendance System that takes advantage of Convolutional Neural Networks (CNN) and facial recognition technology to automate attendance administration. The proposed system commences by capturing images of individuals as they enter a classroom or place of work via a network of surveillance cameras or webcams. These images are subjected to preprocessing, where facial characteristics are recognized and extracted using CNN-powered deep learning methodologies. The extracted facial features are subsequently matched against a pre-established repository of registered individuals' facial data for identification. This identification process is resistant to fluctuations in lighting conditions, facial expressions, and minor variations in pose, ensuring elevated precision in attendance tracking.
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"Automatic Attendance System, Using Face Detection and Machine Learning.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a273-a277, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402032.pdf
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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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