Visually impaired teachers are the ones who encounter the most challenges when instructing students. Most of them require an assistant (person) to keep the students under control. With image processing technology, the suggested system assists the visually challenged teachers in keeping track of their student's behavior based on their postures and gestures while instructing lessons. Images of students in a classroom setting with various postures have been gathered and kept on the proposed system's Raspberry Pi board. The students' images have continuously been collected by a webcam installed in the classroom. Different postures of students have been recognized using convolutional neural networks with the Haar Cascade algorithm constructed using Python programming.
₹10000 (INR)
IEEE-2023