Computer Vision and Iot Based Smart System for Visually Impaired People

For people who are visually impaired, navigation is a challenge they encounter on a daily basis. For the same, use of walking sticks have become a common practice. Although, there are a lot of limitation of just relying on a blind stick. A more suitable method will alert the user about the nature of the obstacle and should also be of assistance in guiding the user to their location. In this paper, we propose an architecture of an assistance system revolving around a shoe that employees IoT devices and sensors along with computer vision algorithms to provide functionalities like obstacle detection, avoidance and navigation. The method uses a smartphone based voice assistance and guides the user with appropriate haptic feedback calculated using various sensors and actuators.

Automated summary

The paper introduces an assistance system based on a shoe that utilizes IoT devices, sensors, and computer vision algorithms to provide navigation functions for visually impaired individuals. It guides users to avoid obstacles through smartphone voice assistance and haptic feedback calculated by various sensors and actuators.