Gesture Controlled Assistive Device for Deaf, Dumb and Blind People Using Raspberry-Pi

Focusing and Addressing the problems of Visually(Who Can't see),Audibly(who can't hear),Vocally(who can't talk),through a single device is a tough task. After researching on this a convenient assistive device can be made for them using latest devices like Raspberrypi, Windows, MAC etc. The main purpose of the device is to make the differently abled people, feel independent confident by seeing, hearing and talking for them. The device provides Raspberry Pi/Windows based aid for the blind,deaf and dumb people. The proposed device uses CNN (Convolutional neural networks) algorithm. It is a special type of neural network used for image classification. In this project CNN lies convolution, an operation highly specialized at detecting patterns in images like blurring, sharpening, and outlining to images is done depending on the collected dataset. The indications of hands are simply discovered and shown with the help of this algorithm. The device does Image to text conversion and it is displayed on the Monitor screen of the device in this case I have used monitor instead of LCD screen. The user (Deaf and Dumb people) can understand and what next to communicate with them.The model has 2 options to select the required conversion technique.•Image to Gesture (ITT)•Gesture to Text(GTT)