research-article

Automatic Attendance Face Recognition for Real Classroom Environments

Authors:

Chen Ping,

Huangfu Da-Peng,

Luo Zu-YingAuthors Info & Claims

BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things

Pages 65 - 70

https://doi.org/10.1145/3289430.3289436

Published: 24 October 2018 Publication History

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Abstract

This paper selects Faster R-CNN target detection algorithm and SeetaFace Face recognition algorithm. Firstly introduce deep learning technology to multi-face detection in real classrooms, and the experimental results of the two algorithms are verified. Secondly, Based on the Faster R-CNN face detection algorithm and SeetaFace face recognition algorithm, a complete prototype of attendance system is constructed, and five types of attendance indicators are defined. Attendance tables reflecting the attendance status of students are designed. Finally, experiments are conducted based on the class attendance system. The system can record such five violations of classroom, that is absence, later arrival, early departure, free access, and carelessness for attendance, and give the attendance table which can reflect the learning situation of all students after school.

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Cited By

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Cândido RRosa FBonacin R(2024)A Method Based on Recognition of Emotional Expressions, Behavior, and Objects for Security Monitoring in Educational EnvironmentsHCI International 2024 – Late Breaking Papers10.1007/978-3-031-76821-7_19(263-282)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-76821-7_19
Silva LSobrinho ÁCordeiro TMelo RBittencourt IMarques LMatos DSilva AIsotani S(2023)Applications of convolutional neural networks in educationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120621231:COnline publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.120621
Albano IGoncalves D(2021)I Am (Still) Here!2021 International Conference on Graphics and Interaction (ICGI)10.1109/ICGI54032.2021.9655288(1-8)Online publication date: 4-Nov-2021
https://doi.org/10.1109/ICGI54032.2021.9655288
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Index Terms

Automatic Attendance Face Recognition for Real Classroom Environments
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things

October 2018

217 pages

ISBN:9781450365192

DOI:10.1145/3289430

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 24 October 2018

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BDIOT 2018

BDIOT 2018: 2018 2nd International Conference on Big Data and Internet of Things

October 24 - 26, 2018

Beijing, China

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Cândido RRosa FBonacin R(2024)A Method Based on Recognition of Emotional Expressions, Behavior, and Objects for Security Monitoring in Educational EnvironmentsHCI International 2024 – Late Breaking Papers10.1007/978-3-031-76821-7_19(263-282)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-76821-7_19
Silva LSobrinho ÁCordeiro TMelo RBittencourt IMarques LMatos DSilva AIsotani S(2023)Applications of convolutional neural networks in educationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120621231:COnline publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.120621
Albano IGoncalves D(2021)I Am (Still) Here!2021 International Conference on Graphics and Interaction (ICGI)10.1109/ICGI54032.2021.9655288(1-8)Online publication date: 4-Nov-2021
https://doi.org/10.1109/ICGI54032.2021.9655288
Raj SBasu S(2021)Attendance Automation Using Computer Vision and Biometrics-Based Authentication-A ReviewComputer Networks and Inventive Communication Technologies10.1007/978-981-15-9647-6_58(757-767)Online publication date: 3-Jun-2021
https://doi.org/10.1007/978-981-15-9647-6_58

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Automatic face analysis system based on face recognition and facial physiognomy

Real-Time Face Attendance Marking System in Non-cooperative Environments

Age-Invariant Face Recognition

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