Abstract
Amid the Covid-19 widespread, it has been challenging for educational institutions to conduct online classes, facing multiples challenges. This paper provides an insight into different approaches in facing those challenges which includes conducting a fair online class for students. It is tough for an instructor to keep track of their students at the same time because it is difficult to screen if any of the understudies within the class are not present, mindful, or drowsing. This paper discusses a possible solution, something new that can offer support to instructors seeing things from a more significant point of view. The solution is a facial analysis computer program that can let instructors know which students are attentive and who is not. There’s a green and red square box for face detection, for which Instructors can watch by seeing a green box on those mindful students conjointly, a red box on those who are not mindful at all. This paper finds that the program can automatically give attendance by analyzing data from face detection. It has other features for which the teacher can also know if any student leaves the class early. In this paper, model design, performance analysis, and online class assistant aspects of the program have been discussed.
Highlights
Different programs have been developed for online class monitoring but this paper discusses about introducing a new technology which is based on machine learning with face detection
When a teacher is in an online class, the software is active it takes screen video of the computer so in screen video software found many students faces . the software first check every student’s face and detect their ID and make a note with time in the same time it keep note the status of the student whether the student is attentive or sleeping or not looking at the webcam or his screen
Using a Histogram of oriented gradients [9], we fetch the vital information of the images and avoid fewer essential things which are with this image, which is very efficient to detect a face
Summary
Different programs have been developed for online class monitoring but this paper discusses about introducing a new technology which is based on machine learning with face detection. This detection involves observing a face, detecting eye position, and observing eye blinking patterns. Given the current Covid-19 scenario, everyday life is solely dependent on the virtual world and a virtual classroom is no exception. During this time of pandemic, it has come to our understanding that adopting to a new normalcy is the ideal solution for surviving.
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