The Application of Image Processing for Monitoring Student’s Attention Level During Online Class

With the covid pandemic still being causing the world to be quarantined in there house to prevent the spread of the virus, this means online classes are still the main method of conducting classes. This project aim is to help the lecturer to monitor the students during class as the lecturer are having problems checking whether the students are paying attention during the online class. This project uses the students facial features to determine the students attention level using two different coding algorithm Viola-Jones and Sobel edge to determine what kind of facial expression that the students are making. With the data collected the algorithm can determine whether the student is paying attention during the class.