New Features for Webcam Proctoring Using Python and Opencv

Online examinations have turned out to be the new normal. However, it is not that easy proctor students as rigorously in in-center examinations. It essential find an approach online too possible. There are already several webcam proctoring systems used real world, but these very accurate and miss on detecting all possible malpractices certain cases due defect system detects a malpractice for someone who never even attempted any. This project focuses mainly building features can make existing more advanced rigorous. The aimed at following namely head pose estimation, mouth opening detection, eye ball monitoring, number of persons mobile phone detection face spoofing detection. For each features, machine learning models built using Python. All use live feed which obtained OpenCV output gives information about direction eyes, presence than one person phone, mouth, occurrence spoofing. outputs recorded log file identify any based features.