  Today, many of the aid systems deployed for visually impaired people are
mostly made for a single purpose. Be it navigation, object detection, or
distance perceiving. Also, most of the deployed aid systems use indoor
navigation which requires a pre-knowledge of the environment. These aid systems
often fail to help visually impaired people in the unfamiliar scenario. In this
paper, we propose an aid system developed using object detection and depth
perceivement to navigate a person without dashing into an object. The prototype
developed detects 90 different types of objects and compute their distances
from the user. We also, implemented a navigation feature to get input from the
user about the target destination and hence, navigate the impaired person to
his/her destination using Google Directions API. With this system, we built a
multi-feature, high accuracy navigational aid system which can be deployed in
the wild and help the visually impaired people in their daily life by
navigating them effortlessly to their desired destination.

Human-Computer Interaction;Computer Vision and Pattern Recognition