A Robotic Assisted System Using Deep Learning for Navigation and Reading IoT Based Home Automation for Visually Impaired

Abstract

This paper presents a personal guidance system to help the visually impaired people to face the world independently; this is achieved by transferring visual world into the audio world by alerting them with a voice message. Navigation assistance is included with object detection, so object interference in the path of navigation the vision deprived person is alerted about the object in the path. The system is also implemented with an IOT based load control to help them with household objects; the load control can be operated with the help of Blynk Application which is made enable with voice assistant. In this project we have used an algorithm, real time object detection using deep learning. This model is trained with more images to recognize an object. OCR is implemented for the reading assistance module in this system.