About the Practice
Problem Statement:

• Often people suffering from such disability have normal vision and therefore they are able to communicate through sign or gestures. This system through a webcam converts signs into text. The other person who may not know sign language can read this text. It can also be heard through text to speech. Further, when the other person speaks, the system will convert into a text which the deaf and dumb person can read.


Detail:

It can be a hand held device with a preprogrammed software to recognize the movement of the hand and capture the symbols, which can be compared to a stored library with specific accuracy and can generate particular voice in accordance with the grammatical corrections. But to operate this function one must have to do action in front of the camera which can capture and send data further to the processing units, this innovation consists of three main components 1. Data Input/ Receiving, which is carried out by camera 2. Data processing which is carried out by a microprocessor. 3. Data Output, which is carried out by a Speaker. (https://blogtechpedia.wordpress.com/2012/06/12/image-speech-recognition-and-speech-synthesis-for-physically-disabled/)


About the Innovator

Knowledge Provider / Innovator: SaurabhSaket and Rahul Ranjan
Address: Bhutta College of Engineering
City: Bhutta
State: Punjab
PIN Code 141206
Website: http://www.bcetldh.org/

Practice Details

Link: Presently the system supports English. The device consists of a wearable camera along with speaker. The vocally disabled person can keep his hand in front of the camera and make gestures using sign language. The camera may capture the gestures and the onboard electronic system will identify and convert the gestures into text. The Onboard voice synthesizer will convert the text into voice. For the hearing disabled the onboard system may record the external voice and convert the same into text that will be displayed for the user
Manufacturing Capacity: b) Design Support
Problem Scale: Around the world
News Link 5:



GIAN Reference: GIAN/UAL/1306

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