Automated Attendance Management using OneShot LearningJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 3)
Publication Date: 2020-03-30
Authors : Arvind Vignesh K; Suresh Kumar S;
Page : 244-247
Keywords : Face detection; One shot learning; FaceNet; Scalable; Cloud; Convolutional Neural Network;
In the current world, automation is everywhere. Companies and corporations choose automation because it is much more efficient and cheap in the longer duration. It also allows precious man power to be used for something much more productive than mundane tasks. One such task is the attendance system. At the start of every period at least 15 minutes is wasted in just taking attendance. My project aims at automating the attendance process using facial recognition and using minimal hardware. Facial recognition algorithms demand a large amount of processing power which might be impractical for a college to accommodate. Therefore the system will be deployed on the cloud. Another feature that stands out is the fact that my application will not require any camera as the students will be uploading their picture in an intranet portal. A customized portal is also provided for every teacher or staff where he or she can view the attendance of all the students of her class.
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Last modified: 2020-04-26 00:36:05