Student Monitoring System for School Bus Using Facial Recognition

Abstract

Recent reports confirm the fact that school students are the most vulnerable to social crimes happening across the globe and our country too. Many of these cases happen during their ply from their residence to school and vice versa. In multiple cases these social crimes including sexual harassment happened in their school bus itself. Considering this serious situation, we are proposing a real time monitoring system using image processing techniques. — Identifying a student with an image has been popularized through the mass media like camera. This system monitors the images inside the vehicle and identifies the students and their movements inside the bus. The system recognizes the student faces and their count are also monitored. The system will also raise an alarm to get the attention of the public if it is so essential. Technologies are available in the Open-Computer-Vision (OpenCV) library and implement those using Python. For face detection, Haar-Cascades classifier was used and for face recognition Eigenfaces, and Local binary pattern histograms were used. each stage of the system described by some flowcharts. And also face recognition used in automation attendance system which eliminates most of the drawbacks that the manual attendance systems pose, easy manipulation of attendance records, proxy-attendances, and insecure system.