A Review on Real Time Sign Language Detection Using Tensor Flow Object Detection

A Review on Real Time Sign Language Detection Using Tensor Flow Object Detection

Sanket Dhobale,Aniket Kandrikar, Aniket Zullarwar, Ankush Tembhurnikar, Sumeet Manapure,

Prof. Jyotsna Gabhane

1.Department of computer Technology, RTMNU University, India.

2.Department of Computer Technology, Priyadarshini College of Engineering, nagpur, Maharashtra

Abstract

As survey suggest there are around 1.8 million  people in India who are dumb and around 7  million people who are dumb. Deaf and Dumb  people communicate using the Sign Language  and still Sign Language is not considered as  the official language. It is difficult for them to  communicate with someone who don’t  understand the sign language, so to solve this  problem we are creating a model that can  detect sign language using the webcam and we  are creating this model using Deep Learning  and Tensorflow. This model will help deaf and  dumb people to communicate with someone  who don’t understand the sign language. We  are using Convolution Neural Network(CNN)  to train the model. We are basically crating our  own database using webcam. There are good  future scope for this we can work more on it  and get the more accurate results and help  people.

Keywords - Sign Language Detection, Convolution Neural Network(CNN), Deep Learning, Tensorflow