Sense Wear: Empowering Accessibility for the Visually Impaired

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Year : August 20, 2024 at 10:54 am | [if 1553 equals=””] Volume : [else] Volume :[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : | Page : –

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S. Sruthi Madhavan, M. Yukendiran, A. B. Jerfin Jeshua, R. Sanjay,

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

n“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.

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

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Microelectronics and Solid State Devices(jomsd)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Microelectronics and Solid State Devices(jomsd)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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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. July 28, 2024; ():-.

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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. July 28, 2024; ():-. Available from: https://journals.stmjournals.com/jomsd/article=July 28, 2024/view=0

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References

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Volume
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424]
Received July 3, 2024
Accepted July 12, 2024
Published July 28, 2024

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