Abstract
Managing the student attendance is a very important functionality of an educational institution. Institutions manage this task in their own ways. Tracking of each and every student will be a job which demands high precisions. Imagine tracking the attendance as well as activeness of students throughout the class along with teaching subject is a tedious task. It is nearly impossible where the student count is very high. In our work, we have used this computational power of the computers and implemented an automated system which monitors both attendance and activeness of each individual in its covered area and stores the data in a database for later use. Our model is multitasking and has reasonable computational speed, which can easily replace the work of manually taking attendance in a very effective and fast way. This work also focusses on the activeness detection. Hence, this is a multitasking system. Nowadays, many students wear spectacles and our work can easily recognize the faces wearing spectacles also. The activeness system also works fine on students wearing spectacles.
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Poojari, N.N., Sangeetha, J., Shreenivasa, G., Prajwal (2022). Automatic Student Attendance and Activeness Monitoring System. In: Reddy, V.S., Prasad, V.K., Mallikarjuna Rao, D.N., Satapathy, S.C. (eds) Intelligent Systems and Sustainable Computing. Smart Innovation, Systems and Technologies, vol 289. Springer, Singapore. https://doi.org/10.1007/978-981-19-0011-2_36
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DOI: https://doi.org/10.1007/978-981-19-0011-2_36
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