This paper is published in Volume-8, Issue-3, 2022
Area
Data Science
Author
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu
Org/Univ
Gandhi Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India
Keywords
Face Recognition, Deep Learning, Convolution Neural Network (CNN).
Citations
IEEE
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu. Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu (2022). Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.
MLA
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu. "Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu. Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu (2022). Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.
MLA
Chintapalli Mohan Kumar, Dr. Vanitha Kakollu. "Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.
Abstract
In the changing world, automatic face recognition (AFR) systems have achieved numerous advancements. Smart Attendance with Real-Time Face Recognition is a practical option for dealing with day-to-day tasks. Attendance system for students Attendance is based on the recognition of faces. This is a method of recognizing a student's face in preparation for a test. Face biometrics based on high-definition images are used to track attendance. keep an eye on video and other forms of information technology in front of my face, A computer system will be able to find and recognize people as part of the recognition project. In photos or videos, distinguish human faces quickly and precisely are being filmed on video by a surveillance system. Numerous Improved algorithms and methodologies have been developed for Face recognition performance, but the concept to be Deep Learning is used in this case. It aids conversion.