Two Way Sign Language for Deaf and Dumb using Deep Convolution Neural Network

Abstract

Abstract: The goal is to build a bridge between the hearing and hearing-impaired communities and to start two-way communication. Here we propose a two-way sign language translator that translates speech in real time into sign language and vice versa. Each video frame is processed using Python's Open CV Library. Additionally, we use the Gaussian Mixture-based Background/Foreground Segmentation Algorithm to remove the background from each frame. The hearing impaired community will then be more effectively integrated into regular schools thanks to this technology, making education more affordable and available to them.