Smart Campus: Based Automatic Attendance System Using Photo Face Recognition

This review examines a number of experiments that use the Smart Attendance system to record attendance using facial recognition. In many organizational and educational contexts, managing attendance effectively and accurately is essential. Manual attendance tracking using traditional methods is laborious and prone to mistakes. The suggested system recognizes and confirms the identity of people in a certain context by using computer vision and deep learning techniques. It enables smooth and effective attendance tracking by using facial recognition algorithms to capture and match facial features with records already in a database.

Authors

Publication Details

Journal
International Journal of Innovative Research in Advanced Engineering
Published
2024-12-13
DOI
https://doi.org/10.26562/ijirae.2024.v1112.06
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Campus: Based Automatic Attendance System Using Photo Face Recognition

Anurag Nishad, Ajay Kumar Sahu, Abhijeet Pratap, Atul Kumar Yadav et al.
International Journal of Innovative Research in Advanced Engineering
Smart Systems and Machine Learning
article

Smart Campus: Based Automatic Attendance System Using Photo Face Recognition

Anurag Nishad, Ajay Kumar Sahu, Abhijeet Pratap, Atul Kumar Yadav, Archana Singh
article en

Abstract

This review examines a number of experiments that use the Smart Attendance system to record attendance using facial recognition. In many organizational and educational contexts, managing attendance effectively and accurately is essential. Manual attendance tracking using traditional methods is laborious and prone to mistakes. The suggested system recognizes and confirms the identity of people in a certain context by using computer vision and deep learning techniques. It enables smooth and effective attendance tracking by using facial recognition algorithms to capture and match facial features with records already in a database.

International Journal of Innovative Research in Advanced EngineeringVol. 11(12)
Quality Education
Openalex Percentile: Top 74%
Smart Systems and Machine Learning
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