2024 |
Volume 12 |
Issue 1
Face Recognition Attendance Systems: A Comprehensive Review of Techniques
1.
Charu Vaibhav Verma
– Piemr (rgpv, Bhopal), Indore, Madhya Pradesh, India.
2.
Rani Meliwal
– Piemr (rgpv, Bhopal), Indore, Madhya Pradesh, India.
3.
Radhika Gurjar
– Piemr (rgpv, Bhopal), Indore, Madhya Pradesh, India.
4.
Nishika Choudhary
– Piemr (rgpv, Bhopal), Indore, Madhya Pradesh, India.
5.
Prachi Malviya
– Piemr (rgpv, Bhopal), Indore, Madhya Pradesh, India.
Received
20-Sep-2024
|
Accepted
-
|
Published
20-Sep-2024
|
Abstract
This research paper illustrates about how to manage attendance using a new method that combines face detection techniques together with Python programming as well as machine learning methods among others; which are CNN models. The paper gives details on data collection methods as well as pre-processing methods other than explaining the architecture of CNN. According to the results obtained from its experiments it could be concluded that this system is capable of accurately identifying individuals and recording their presence or absence thus may contribute to increasing productivity in schools, businesses, or other organisations.
Keywords Face Detection, Machine Learning, CNN, Attendance System, Face Recognition, LBPH Algorithm, Grayscale, Biometric
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