Abstract
Abstract: Visual impairment is one of the biggest limitations for humanity, especially in this day and age when information is communicated a lot by text messages (electronic and paper based) rather than voice. Facial recognition is category of biometric software that maps an individual’s facial features mathematically and stores the data as a sprint The software uses deep learning algorithms to compare a live capture or digital image to be stored face print in order to verify an individual’s identity vbnnn This project aims to develop a device to help people with visual impairment. In this project, we manufactured a device that converts an image’s text to speech. The basic outline is an embedded system that captures an image, extracts only the area of interest (i.e. region of the image that comprises text) and changes that text to speech. It is incorporated using a Raspberry Pi 3 and a Raspberry Pi camera module. We have two phases in our project that are Text to Speech and Facial Recognition. Every Module for picture handling and voice preparing are available in the device. It likewise can play and stop the output while reading. The expectation is that it has less error rate and less processing time and less cost productivity.
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