Commu-Lator

Communication for the deprived people has become a great challenge despite having so much technology acceleration. In order to come over this problem we design an application namely commulator (communication translator). The application performs two tasks i.e. it helps a dumb person to speak and lets a deaf understand what a normal person is trying to say. The application firstly extracts frames from live video feed using JMyron and applying image processing techniques such as blurring, RGB to HSV conversion and removing noise so that the image so obtained would make the gesture detection much easier. After getting the gesture, the database is matched with the gesture and corresponding speech is given out using spchapi. This helps a normal person to understand what the dumb has to say. Vice versa is the conversion of speech to text and corresponding symbol or image is given as output. This helps for the deaf to understand what the person in front of him is saying. Hence the application creates a bridge for the two to communicate.

Autorentext

V. Srivastava is a young aspirant engineer graduated from Savitribai Phule Pune University, India. Apparently working in a MNC namely Zensar Technologies. Won best college project and best departmental project for 2015-2016. Organized national level event for CCNA which was sponsored by India bulls, and led by Indian institute of technology, Delhi.