Object Detection in Computer Vision Using Machine Learning Algorithm For Visually Impaired People

Abstract

Traditionally, blind individuals go to their destinations with a white cane or a guide dog. They were unable to quickly recognize their surroundings, though. Consequently, The development of a navigation system for visually impaired people in an interior environment is the topic of this study. In order to provide an efficient and user-friendly navigation tool, passive radio frequency identification (RFID) transponders are mounted on the floor, such as on tactile pavement, to establish such RFID networks. the navigational system created includes a digital compass to help persons who are blind or visually handicapped walk correctly and in the right direction, especially while turning. This system makes use of the ideas of localization and placement using a digital compass as well as vocal prompts for directions. Others looked into how to get blind people back onto the right path when they go off course and calibrate the digital compass for accuracy. Additionally, in order to determine the practicality of the developed navigation system, a comparison between two subjects—a mobile robot and a human—is done. The results of the experiment show that a mobile robot and a human move at different speeds. People who are blind or visually impaired will benefit from this project since the voice-activated navigation system will improve their travel experience and make it safer and more comfortable.