Title: Machine learning and image processing technique to describe outdoor scenes for visually impaired people

Authors: S. Pavithra; V. Prabhakaran; T. Helan Vidhya; D. Gururaj; P. Shanmuga Priya

Addresses: Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India ' Department of Biomedical Engineering, Aarupadai Veedu Institute of Technology, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India

Abstract: It is estimated that there are about 280 million visually impaired individuals in the globe, who are unable to see and experience the world in the same manner that a normal human being does. Using digital image processing and voice processing, we want to assist visually impaired individuals in interacting with the actual world by narrating the descriptions of a scene in front of them, as described in our article. In addition to this, our gadget serves as a personal assistant by keeping the user up to speed on the latest developments.

Keywords: blind; assistive device; image processing; speech processing; image recognition.

DOI: 10.1504/IJESMS.2024.136970

International Journal of Engineering Systems Modelling and Simulation, 2024 Vol.15 No.2, pp.63 - 67

Received: 23 Sep 2021
Accepted: 28 Jan 2022
Published online: 01 Mar 2024 *

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