Antıspoofing Detection System for Online Classes and Online Meeting

The COVID 19 Pandemic has revolutionized the traditional classroom education with a new teaching paradigm called online class. While conducting classes online, the genuine students grasp the essence of the subjects at the same time some students are trying to do some spoofing activity in the class or meeting though they are virtually available online. The spoofing may include that the students may not physically present in the class instead their friends or relatives will join in the meeting. The proposed system proposed has developed a novel method to find the difference between the live face and a spoofing face. It also helps in identifying the spoofing person in two stages and ensures that the actual person is attending the online class or meeting. The state-of-the-art development in the face recognition techniques help to identify the spoofing person. If any spoofing activity is detected; it alerts the teacher or organizer that the attendee is not physically present and/or not belonging to the class.