Abstract

Abstract: In Todays time, when maintaining the classes and scheduling time for students of respective subject is dynamically hard, Colleges can’t able to give their 100% because the data of student attendance is not perfectly arranged, hence unable to provide guest lecture, external workshop, and many more extra circular activities to its peak (as much as possible). If we do such task manually then the management will become a very time consuming and difficult task. In today’s modern days algorithm like HOG, CNN, fisherfaces, Eigenfaces, and etc. are examples of one of the many algorithms that are used in these modern days and our system take the count the number of students in a digital format. Our system is used to identify the person who is going in a class and count total number of persons present in a classroom. The count is stored into the person profile or attendance ledger of that person we use google cloud platform as our Database. We use a Raspberry Pi which make our system portable and hence, it’s easy to setup our system anywhere and very easily in the classroom. Our Raspberry Pi is connected to either College WIFI or College Ethernet so that our Realtime system send email to person that are present, if he enters late in the class then a mail will also come that you are late, if the person wants more detail about their attendance, then he/she check our android app where its shows no. of days present, percentage of person attendance and which days he/she is present and absent and etc. Keywords: IOT, Machine Learning, Pi Module Camera, Raspberry Pi &OpenCV

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