Real Time Face-Recognition Based Attendance Generation and Perception Level Extraction
Rajni Sehgal, Renuka Nagpal, Diya Burman, Shinam Bansal · 2014
Automatic face recognition and utilization of facial expressions is fast becoming an area of heightened interest in research oriented fields such as machine vision and creation of smart, artificially intelligent systems. In this paper we present the application of these concepts in automating the attendance generation of students in academic institutions and additionally acquiring feedback based on analysis of real-time expressions of the populous to contemplate further conduction of certain workshops, ascertain the level of interest shown in a subject or a faculty's lecture etc. Such automated systems will help largely reduce the manual labor and discrepancies otherwise involved in attendance maintenance and also provide us with dependable results from real time analysis rather than paper based feedback regimes.