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.

本文提出了一种使用物体检测和深度感知的辅助系统，可以帮助视障人士在不熟悉的环境中避免撞到物体并导航到目的地。该系统可以检测90种不同类型的物体并计算与用户的距离。同时，我们还通过使用Google Directions API实现了导航功能，可以轻松地引导视力受损的人到达目的地。

Drishtikon: 面向视障人士的先进导航辅助系统