An Intelligent Aid for Visually Impaired-Obstacle Detection and Content Recognition System

Abstract

Across the globe, there are 15 million visually impaired people and they cannot move confidently, independently, and safely in this world. These people are restricted to their neighbourly surroundings. Also, in order to perform their basic tasks they need continual assistance. There are some of the products which are already present in the market, which provides some features that can help in assisting these peoples. However, these features come independently over several products. To overcome the hardship of using these products independently, we have come up with a device which is an absolute set of features that help visually impaired people to perform their basic tasks such as walking through streets, navigation in public places and seeking assistance seamlessly, safely and confidently.  Our proposed system consists of features like obstacle detection, voice based interface, navigation and Intelligible Content Recognition (ICR). This system makes use of technologies like CNN (Convolutional Neural Networks), IoT (Internet of Things), various sensors. In addition, the proposed system is designed, by using materials which are of lower cost.