Computer vision based classroom attendance management system-with speech output using LBPH algorithm

Bhavana, D.; Kumar, Karanam Kishore; Kaushik, Naman; Lokesh, Gururaj Harinahalli; Harish, P.; Mounisha, Earagaraju; Tej, D. Ravi

doi:10.1007/s10772-020-09739-2

Cited by 12 publications

(3 citation statements)

References 13 publications

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“…The same holds for the iris recognition-based attendance registration system [8]. Using face recognition algorithms, scientists have automated marking attendance because no other system could perform the task quickly and accurately [9]. Face recognition algorithms are considered a breakthrough in automating the attendance process, as they are the only way to record the presence of multiple individuals simultaneously.…”

Section: Related Workmentioning

confidence: 99%

“…Despite these problems, the results are significant compared to other studies that used LBPH in face recognition applications. For example, [9] and [12], which relied on a small data set of no more than ten students at very close distances from the camera, the obtained accuracy can be enhanced by increasing the quality and quantity of images for each class in the dataset or by using various image processing techniques such as histogram equalization [51]. 1 were calculated using equations ( 22) - (25).…”

Section: Mtcnn and Facenetmentioning

confidence: 99%

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Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

Lateef,

Kamil

2023

ijcsm

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Traditional attendance recording methods can be replaced with artificial intelligence (AI) methods. This paper aims to develop an automated attendance system with a user-friendly graphical interface in Arabic to enhance user interaction. The Python programming language is used to build the system, which employs object detection and feature extraction algorithms. This system processes a live broadcast from an IP camera installed in the classroom. The system employs object detection algorithms to detect the faces in the video. The face locations are then sent to the feature extraction algorithms to extract and compare features with the features stored in the database. Our paper concludes that automating the attendance registration process using facial recognition technology can achieve up to 100% accuracy. Comparing our proposed system with previous studies, we find that it outperforms them in several aspects. Our method handles real-time tests with a larger number of students. It accommodates students positioned at different distances from the camera within the classroom, demonstrating our method's effectiveness in automating the attendance registration process.

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Section: Related Workmentioning

confidence: 99%

Section: Mtcnn and Facenetmentioning

confidence: 99%

Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

Lateef,

Kamil

2023

ijcsm

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“…Electronic communication technology and computer technology provide technical support for the informatization of classroom attendance. Some scholars propose to combine campus magnetic card or IC card with computer technology to collect and store campus card and student information through the attendance equipment that can be read, so as to be applied to the attendance system [ 7 ]. Other scholars have combined RFID technology to design a system that can carry out attendance and recording simply, quickly, and automatically, which improves the accuracy, efficiency, and timeliness of attendance technology [ 8 ].…”

Section: Development Of Classroom Attendance Technology In Colleges A...mentioning

confidence: 99%

College Smart Classroom Attendance Management System Based on Internet of Things

Zhao

2022

Computational Intelligence and Neuroscience

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Since entering the information age, educational informatization reform has become the inevitable trend of the development of colleges and universities. The traditional education management methods, especially the classroom attendance methods, not only need to rely on a large number of manpower for data collection and analysis but also cannot dynamically monitor students’ attendance and low efficiency. The development of Internet of things technology provides technical support for the informatization reform of education management in colleges and universities and makes the classroom attendance management in colleges and universities have a new development direction. In this study, a college smart classroom attendance management system based on RFID technology and face recognition technology is constructed under the architecture of the Internet of things, and the corresponding simulation experiments are carried out. The experimental results show that the smart classroom attendance management system based on RFID technology can accurately identify the absence and substitution of students and has the advantages of fast response and low cost. However, its recognition is easily affected by obstructions, which requires students to place identification cards uniformly. The smart classroom attendance management system based on face recognition technology can accurately record and identify the situation of students entering and leaving the classroom and identify the situations of being late and leaving early, absenteeism, and substitute classes. The experimental results are basically consistent with the sample results, and the error rate is low. However, the system is easily affected by environmental light, students’ sitting posture, expression, and other factors, so it cannot be recognized. Generally speaking, both can meet the needs of classroom attendance in colleges and universities and have high accuracy and efficiency.

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AI‐Based Surveillance Systems for Effective Attendance Management

Garg,

Sharma,

Singh

et al. 2024

Mathematical Models Using Artificial Intelligence for Surveillance Systems

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Computer vision based classroom attendance management system-with speech output using LBPH algorithm

Cited by 12 publications

References 13 publications

Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

College Smart Classroom Attendance Management System Based on Internet of Things

AI‐Based Surveillance Systems for Effective Attendance Management

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