Audio Assistance for Visually Impaired Teachers using Image Processing

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 thei...

Full description

Saved in:
Bibliographic Details
Published in2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA) pp. 1060 - 1064
Main Authors Prasad, S.J. Suji, Thangatamilian, M., Devi, R. Manjula, Ahamed, M.Athif, Charumithra, I., Jagadeshwaran, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.03.2023
Subjects
Audio Assistance
Behavioral sciences
Convolutional Neural Network
Convolutional neural networks
Data communication
Haar Cascade
Image Processing
Image recognition
Monitoring
Programming
Students
Visually Impaired Teacher
Webcams
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/ICIDCA56705.2023.10100263