Abstract
Abstract: According to recent data, schoolchildren are the group most susceptible to social crimes that take place anywhere in the globe, including in our own country. On their way to and from school, many of these instances take place. Other times, social offence like sexual harassment happened to them when they were riding the school bus. We suggest a real-time monitoring system based on image processing methods because of how serious the problem is. The media has made using a camera to identify a pupil more commonplace. This system monitors the bus cameras and examines the children's movements. The technology recognises student faces and records student ID numbers. The technology will also sound an alarm to notify the public if the situation is urgent. Technologies that can be used with Python are included in the Open CV (Open Computer Vision) package. Face detection was performed using the Haar-Cascades classifier, and face identification was performed utilising Eigen faces. Using flowcharts, the system's levels are represented. Furthermore, The automation attendance systems use face recognition, This eliminates the vast majority of problems that manual attendance systems.
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