PC Vision Based Unpretentious Classroom Attendance Tracing Framework/Technique (MAY 2021)

Fossil classroom environment follows a manual attendance marking system either by calling the student's names it interrupts the teaching procedure and also takes a lot of time. It can also lead to factors like a proxy. To overcome this issue, we have introduced a high-definition camera that will be installed in every classroom which captures the student images from all angles

Digital places: location-based digital practices in higher education using Bluetooth Beacons

The physical campus is a shared space that enables staff and students, industry and the public, to collaborate in the acquisition, construction and consolidation of knowledge. However, its position as the primary place for learning is being challenged by blended modes of study that range from learning experiences from fully online to more traditional campus-based approaches. Bluetooth beacons offer the potential to combine the strengths of both the digital world and the traditional university campus by augmenting physical spaces to enhance learning opportunities, and the student experience more generally. This simple technology offers new possibilities to extend and enrich opportunities for learning by exploiting the near-ubiquitous nature of personal technology. This paper provides a high-level overview of Bluetooth beacon technology, along with an indication of some of the ways in which it is developing, and ways that it could be used to support learning in higher education

STUDENT ATTENDANCE SYSTEM USING WIFI DIRECT AND TEMPORARY WI-FI HOTSPOT

Manual attendance recording throws away a lot of teaching and administration time from the university. Research on automatic attendance recording that has been done can be divided into biometrics and non-biometrics uses. Almost all methods require additional device that it is costly and inflexible for class changes. The proposed method solves the problems by utilizing the standard features of smartphones that are owned by all student, this method uses Wi-Fi direct for class broadcasting process and temporary Wi-Fi hotspot for verification process. The experimental results show that the proposed method produces the time needed for the initialization process is 14980 ms and the verification process is 3640 ms

MULTI-FACTOR ATTENDANCE AUTHENTICATION SYSTEM

Taking attendance in classes is a cumbersome task which can benefit from smartphone innovation. This study identifies the vulnerabilities of the technology and proposes a technique to identify cheating. Several smartphone features are proposed for collective use to improve the reliability. The first measure is by using Quick Response (QR) code as a unique token; the second measure is by using International Mobile Equipment Identity (IMEI) number as a unique identification; the third measure is by checking timestamp; and the fourth measures is by checking Global Positioning System (GPS) location of the student. Algorithm matches attendee with event using QR, identifies identify using IMEI and verify attendance using timestamp and GPS. Use cases conducted have shown feasibility in practical aspect and user acceptance. This paper evaluates reliability of the approach and inherent issues