An Intelligent Computer Vision based Application for Student Monitoring in Classroom

In this ever-growing field of Artificial Intelligence in which computer vision is a field which is in demand because it can solve a lot of Practical Real-World Problems, we would like to develop an Advanced Live Class Monitoring System. Using this Model, we are aiming to solve real world problems like automated face detection and attendance updating into the database. We would also like to include Real Time Activity Monitoring for detection of Abnormal and Unwanted Activity Detection. This Model would also feature Video Storage and Retrieval Up to Two Days of High Definition Recording, The Video would be only Recorded if there is any activity in a specified area, We would also introduce a feature that is the model would detect if there is any foreign student that is if the student does not belong to a specific class or if he is not a student who has enrolled in a specific subject. Since we have live monitored a respective faculty can watch the live stream in local Personal computer. Considering the Aspects of Security everything is user specific Streaming into local PC. Also, Footage which is uploaded into the cloud which follows Https Protocols is only accessible for Authorized Personnel Only.