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)
This project aims to develop a face recognition attendance system using Python. The system utilizes OpenCV and face recognition libraries to recognize and identify individuals from their faces. The process involves capturing an image of a person's face, extracting facial features using pre-trained deep learning models, and comparing them against a database of known faces. The system then marks the attendance of the recognized individual. The project also includes a GUI interface to allow easy interaction and visualization of the system's output. The system has potential applications in educational institutions, workplaces, and other organizations where attendance tracking is essential. The accuracy and efficiency of the system are tested, and the results show that it can perform with high accuracy in real-time applications.
Keywords:
Face recognition, Face detection, Machine Learning, Naive-Bayes, OpenCV
Cite Article:
"Real-Time Image Based Attendance System Using Python", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e846-e854, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305502.pdf
Downloads:
000118748
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
Facebook Twitter Instagram LinkedIn