Current Volume 8
Abstract
In the era of rapidly increasing involvement of technology in human lives, it has become virtue to be smart and to adopt smart ways of getting things done. We have seen a lot of alterations in many basic things around us especially in education sector like the use of the audio-visual method of teaching. But there are many more traditional methods being followed and we intend to propose a smart way for one such method. The process of making attendance could be a very irrelevant and tedious work for teachers and so we intend to develop a device, powered by the concepts of Internet Of Internet and backed up by Machine Learning, that automatically detects the face of a student through the video input, recognizes it and then compares with the available data input, recognizes it and then compares with the available data and marks the attendance accordingly. Face recognition is a biometric system that can be used to identify or verify a person from a digital image by using the facial features that are unique to each other. There are many face recognition algorithms available and of them, according to our requirements, the best suitable one is selected and applied to the IOT devices. This device will be equipped with a face recognition camera that collects the raw data through the environment in the form of an image of a video and transfers to the processor end for further evaluation of the input.
Citations
IRE Journals:
Sd. Abdul Khayyum , R. Bala Pavan Thanay , P. Raviteja , Sk. Osman Zakeer Hussain , K. Ravi Kumar
"Smart Attendance Marking Using Face Recognition" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 241-243
IEEE:
Sd. Abdul Khayyum , R. Bala Pavan Thanay , P. Raviteja , Sk. Osman Zakeer Hussain , K. Ravi Kumar
"Smart Attendance Marking Using Face Recognition" Iconic Research And Engineering Journals, 3(10)
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