An Opencv Method for Monitoring Attendance in Specialized Children School to be Implemented in Bangladesh

Abstract

Autism Spectrum Disorder (ASD) is neurocognitive disorder which has been on rise worldwide. A person with such condition have difficulties in responding to speech, social interaction and unable to utter words. The learning activities for them revolves around inanimate structures, objects and pictures handling. With such condition it becomes improbable for children with such condition to recognize a face and respond to it. Taking attendance for such specialized children become a time consuming task. So in this paper we have proposed a methodology of automated attendance of such specialized child to ensure the security of each child and time which is saved by such automatic technology is spent in concentrating on teaching them activities to get acquainted with social interaction capabilities. The proposed methodology is done in three stages. First is detecting Face from a video using dlib library based on Histogram of Oriented Gradients (HOG) and then classifying using Support Vector Classifier(SVC).In the next stage, face detected is aligned using FaceAligner and facial features are extracted based on 68 landmark point face detector and trained into database. In final stage, faces from live feed webcam is detected, its feature being extracted and compared with database to record attendance.