D&D Conveyor

Author(s)	Mr. Perarasu S, Mr. Sathyanarayanan P, Mr. Vigneshwar S I, Ms. Kirithika S, Mr. Gopinathan S, Ms. Ganga M
Country	India
Abstract	Living in the world with normal people and dumb people are not able to communicate properly. And it's important to provide a place to communicate because deaf and mute people use sign language for communication but they find difficulty in communicating with normal people who don’t understand sign language. They also facing many problems like to communicate their feelings to us. To overcome this problem, there is a need of translator to understand what they speak and communicate with us. Computer vision processes the live video into images and the pictures of hand gesture are processed by CNN (Convolutional neural network) in Deep learning. The sign language translation system translates the normal sign language to speech and hence makes the communication between normal person and mute people easier. So, the whole idea is to build a communication system that enables communications between speech hearing impaired and a normal person.
Keywords	Mute people, Deep learning, Hand gestures recognition, Convolutional neural network, Computer vision.
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-05-08

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International Journal on Science and Technology