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- Vol. 3 Issue 2
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(SAMS): Smart Attendance Management System
Authors
123 Department of Computer Science and Engineering, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India. 4Mentor, Assistance Professor, Department of Computer Science and Engineering, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 2 (2024)
- Published Online
- May-August 2024
- Pages
- 182-184
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFEverything in the world we live in these days is mechanized and connected online. Machine learning, image processing, and the internet of things are all constantly developing. As a result of this evolution, several systems have undergone total modifications to produce more accurate findings. A common illustration of this shift is the attendance system, which went from the conventional signature on a paper sheet to facial recognition. This project suggests a technique for creating a thorough embedded system for tracking class attendance that uses facial recognition and indicates whether or not the face belongs to a student in that particular class. The system's foundation is a machine learning algorithm that will be built in Python and uses a laptop or computer camera to capture student images for input.
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