Deep Learning Based Real Time Face Recognition For University Attendance System

Author:

Singhal Mansi1,Ahmad Gufran1

Affiliation:

1. Dayalbagh Educational Institute (Deemed University),Department of Electrical Engineering,Agra,India

Publisher

IEEE

Reference25 articles.

1. Vggface2: A dataset for recognising faces across pose and age;qiong;2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018),0

2. Analysis survey on deepfake detection and recognition with convolutional neural networks;saadaldeen rashid;2022 International Congress on Human-Computer Interaction Optimization and Robotic Applications (HORA),2022

3. Three critical factors affecting automated image species recognition performance for camera traps;stefan;Ecology and Evolution,2020

4. VGGFace-Ear: An Extended Dataset for Unconstrained Ear Recognition

5. Face recognition using facenet (survey, performance test, and comparison);ivan;2019 Fourth International Conference on Informatics and Computing (ICIC),0

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1. Computationally intelligent real-time security surveillance system in the education sector using deep learning;PLOS ONE;2024-07-11

2. A Face Recognition-Based Smart Student Attendance and Activeness Monitoring System;2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM);2023-12-12

3. Deep Learning Based Face Recognized Attendance Management System using Convolutional Neural Network;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

4. An Efficient Face Recognition Based Attendance System;2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE);2023-11-23

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