What are the different types of attendance management systems available in educational institutions?
Best insight from top research papers
In educational institutions, various types of attendance management systems are available to streamline the attendance tracking process. One prevalent system is the facial recognition-based attendance management system, which utilizes Convolutional Neural Networks (CNN) for accurate recognition. Another innovative approach involves a biometric student attendance system based on IoT, where Raspberry Pi cameras capture student images for attendance recording. Additionally, there are systems incorporating IoT, AWS, and RFID technology, like the one proposed in a study, which automates attendance tracking and provides real-time reporting through cloud-based software. These systems aim to enhance efficiency, accuracy, and reliability in monitoring student attendance, ultimately improving overall attendance management in educational settings.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| The paper discusses a Smart Attendance System using RFID and Raspberry Pi, offering an automated solution for logging attendance in educational institutions, reducing manual efforts and errors. | |
| Not addressed in the paper. | |
| Facial-based biometric attendance system using IoT is proposed in the paper, offering a cost-effective and efficient alternative to traditional manual attendance methods in educational institutions. | |
| The paper discusses the development of a facial recognition-based attendance management system using Convolutional Neural Networks, aiming to replace manual systems with automatic, accurate, and efficient attendance tracking. | |
| Facial recognition-based attendance system using Convolutional Neural Networks (CNN) is developed to replace manual attendance systems in educational institutions, ensuring accuracy and efficiency. |
Related Questions
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Why the need of attendance systems in particularly in the employees?5 answersAttendance systems are needed in employees to accurately track their attendance, increase productivity, and reduce the time required for marking attendance. Traditional pen and paper methods increase the workload for both employees and employers, leading to higher costs and potential manipulation in the system. By implementing a proper attendance management system, organizations can improve the effectiveness of work and ensure accurate tracking of employee attendance. Additionally, attendance plays a key role in determining the workload and contribution of employees in their work, as well as in deciding their salary based on the number of days worked. Automating the attendance logging process can save time and effort for both educational institutions and instructors, allowing them to focus on academics rather than manual attendance tracking. Implementing alternate methods, such as biometric technology, can rectify issues with traditional methods, prevent proxy attendance, and improve overall performance.
Why the need of attendance systems in the employees and uuniversities?4 answersAttendance systems are needed in universities and organizations to track the regularity of students and employees. The traditional manual methods of taking attendance, such as roll calls and sign-in registers, are time-consuming, prone to errors, and can lead to proxy attendance. Proxy attendance creates disturbances in class, wastes time, and affects academic performance. To address these issues, automated attendance systems using facial recognition technology have been proposed. These systems are user-friendly, efficient, and eliminate the chances of proxy attendance. They can be implemented in any field where attendance tracking is essential, promoting efficiency and cost-effectiveness.
What is the best attendance monitoring system?2 answersThe best attendance monitoring system is subjective and depends on the specific needs and requirements of an organization or institution. However, several papers provide different approaches to attendance monitoring systems. Memane et al. propose a biometric fingerprint sensor-based system that uses Raspberry Pi and Arduino for real-time attendance tracking. Rahman et al. present an Arduino IOT-based system integrated with a MySql database and RFID technology for efficient attendance monitoring. Tsai and Li propose an intelligent system that combines spatio-temporal human action recognition, including skeleton gait recognition, multi-action body silhouette recognition, and face recognition. Gupta introduces an automated attendance system using Raspberry Pi and OpenCV/Python libraries for face identification. Each of these systems has its own advantages and limitations, and the best system would depend on the specific requirements and constraints of the organization or institution in question.