Sense Wear: Empowering Accessibility for the Visually Impaired

Year : 2024 | Volume : 11 | Issue : 02 | Page :
    By

    S. Sruthi Madhavan,

  • M. Yukendiran,

  • A. B. Jerfin Jeshua,

  • R. Sanjay,

  1. Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
  2. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
  3. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India
  4. Student, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, India

Abstract

“Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect common objects and environmental obstacles. Through a user-friendly interface, auditory feedback is provided to the wearer, conveying information about the recognized objects, their locations, and relevant contextual details. The Integration of computer vision with wearable technology offers a discreet and hands-free solution for visually impaired individuals, empowering them to navigate their environments with increased confidence and autonomy. Experimental results demonstrate the effectiveness and usability of the proposed system in real-world scenarios, highlighting its potential to significantly improve the quality of life for individuals with visual impairments.

Keywords: Object Recognition, computer vision, visual Impairment, Image Processing, Object Detection, Feature Extraction, visual aids.

[This article belongs to Journal of Microelectronics and Solid State Devices ]

How to cite this article:
S. Sruthi Madhavan, M. Yukendiran, A. B. Jerfin Jeshua, R. Sanjay. Sense Wear: Empowering Accessibility for the Visually Impaired. Journal of Microelectronics and Solid State Devices. 2024; 11(02):-.
How to cite this URL:
S. Sruthi Madhavan, M. Yukendiran, A. B. Jerfin Jeshua, R. Sanjay. Sense Wear: Empowering Accessibility for the Visually Impaired. Journal of Microelectronics and Solid State Devices. 2024; 11(02):-. Available from: https://journals.stmjournals.com/jomsd/article=2024/view=167847


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Regular Issue Subscription Original Research
Volume 11
Issue 02
Received 03/07/2024
Accepted 12/07/2024
Published 28/07/2024
287

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