Developed for S.P Jain School of Global Management
S P Jain School of Global Management is a private business school with campuses in Sydney, Mumbai, Singapore, and Dubai. The school offers undergraduate, postgraduate, doctoral, and professional technical courses in business.
In the traditional method of attendance management, faculty members have to manually verify the attendance of their students by calling out names at the end of the class. This can be a very challenging task for higher education institutions, especially business schools. In S.P. Jain, tens of thousands of students are split across various divisions and branches. These students are often clubbed together for lectures. In such a scenario, the manual method of attendance verification proves to be extremely inefficient, as the faculty members do not know the students personally. Detailed manual attendance verification is very time-consuming and takes up valuable time that can be otherwise used for lecturing. Our client wanted to build a solution to automate their attendance management process. The main requirements were listed as follows:
After evaluating the problems faced by our client, we brainstormed for potential solutions. These solutions included an RFID-based attendance system, biometric-based system, and computer vision-based system. The merits and demerits of each system have been listed in the table below.
|RFID system||Biometric system||Computer Vision|
|Can be manipulated||Accurate recording||Accurate recording|
|Cheap||High cost||Low cost|
|Cannot track in-class attendance||Cannot track in-class attendance||Can track in-class attendance|
In order to solve the problem at hand, we built an AI-powered attendance management system that uses cutting-edge computer vision technology. The classrooms in S.P. Jain already have a pre-existing CCTV infrastructure. For the client, we built a customized attendance management system(AMS).
The AMS system was built by customizing the automated attendance tracking feature of Emotyx — an AI-powered real-time video analytics suite launched by Accubits Technologies. The AMS system cycles around cameras inside classrooms to match the faces of students with a database of their schedules to correctly mark the attendance. Teachers can view and review the attendance logs in real-time through a common dashboard.
The system completely automated the process of attendance tracking and helped the management and faculties to save 5-10 minutes from each lecture. In 600 milliseconds, the system can identify and record the attendance of 6 faces from a database of 30K faces.
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Identifies even small faces
Integrated with LMS
Real-time attendance reports
Attendance data analytics