An Ergonomic Smart Eye Designed for Reading and Object Detection for Blind People using IOT

Authors

  • Rajshri Mudaliar
  • Prabhakar M

DOI:

https://doi.org/10.17762/jaz.v44iS6.2279

Keywords:

TensorFlow,YOLO,COCO,RaspberryPi Model B ,Tesseract

Abstract

The ability to see is a wonderful blessing.Vision helps people to see and understand their surroundings.Blind people have trouble reading books and detecting  objects in front of them reading books and detecting  objects in front of them. This research paper  focuses on the development of an artificial eye that uses a web camera to enhance text reading and for object recognition. A system with additional functionality is designed to support blind people.It is a visual design composed of a few key components such as a camera, Raspberry Pi, and earphones installed together, as well as additional web-based operating technology intertwined. The image collected and processed with the aid of the camera interfaced to the Raspberry pi/IOT technology is the project's input. As a result, the text and objects are detected, and audio information is sent to the blind man through earphones. The objective of this research is to make a low-cost, easy-to-use portable device that can be used anywhere while walking avoiding hurdles and that can also facilitate blind people in reading articles, books, and gaining knowledge.

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Published

2023-11-30

Issue

Section

Articles

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