Hardware Implementation of Two Way Sign Language Conversion System

Hearing disabilities affect people all over the world. Nearly 360 million people have a disabling hearing loss. Due to birth abnormalities, accidents, and oral diseases, the number of people who are deaf and dumb has dramatically increased in recent years. The objective of our project is to form a bridge between the hearing-impaired community and the hearing community; to further commence a two-way communication. A two-way sign language translator that converts Voice to sign language and vice versa in real time is proposed using Convolution Neural Network (CNN) model and raspberry pi module. The model provides 99% accuracy.