Also Available Domains OpenCV
This project proposes a camera-based assistive sign detection and processing some functions to make the speaker to speak using Raspberry Pi. Normally in deaf and dumb schools they are using sign language for their communication, likewise here Raspberry Pi is trained with 6 to 7 Gesture recognitions.
The basic idea of this project is to create a Digital vocalizer for social purpose. We are trying to implement a system which bridge communication gap between dumb people and others as less as possible. Dumb people make use of sign language or gestures to make understand what he/she is trying to say, but it is impossible to understand by hearing people.
Assistive technologies are being developed for deaf and dumb people in order to live confidently. This project work proposes a camera-based assistive gesture reading framework to help blind persons to read text labels. Here we are using 6 to 7 sign detections, where functions of each sign can be easily configurable to certain process (ex: For any voice command, asking for some needs or typing any letters, etc.,) using the hand sign which is detected using a camera and sign detection is done using OpenCV.
Keywords: OpenCV, sign detection, Raspberry Pi.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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