VOIP Access Vision

This paper presents the development and implementation of a voice assistant designed specifically to aid visually impaired individuals in their daily tasks. Current assistive technologies, while helpful, often lack the intuitive, hands-free interaction necessary for seamless use by the blind community. This study addresses these limitations by developing a voice-driven system that enables blind users to interact with technology through natural language commands, offering functionalities such as navigation assistance, task reminders, and environmental awareness. Built on an ESP32 microcontroller with integrated speech recognition algorithms and contextual voice responses, the proposed system provides real-time interaction without the need for visual input. User testing with visually impaired participants demonstrated the effectiveness of the system in enhancing accessibility, reducing reliance on physical touch or screen-based interfaces. The results highlight the potential of voice-based technology in improving the autonomy and quality of life for blind individuals. Future work will focus on expanding language support and incorporating advanced AI for better context-awareness.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11018918
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
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article

VOIP Access Vision

S. Vasanthadev Suryakala, T. Rajalakshmi, S Kayilaivendhan, Sivabalan et al.
Mobile Agent-Based Network Management
article

VOIP Access Vision

S. Vasanthadev Suryakala, T. Rajalakshmi, S Kayilaivendhan, Sivabalan, G.N. Charran
article en

Abstract

This paper presents the development and implementation of a voice assistant designed specifically to aid visually impaired individuals in their daily tasks. Current assistive technologies, while helpful, often lack the intuitive, hands-free interaction necessary for seamless use by the blind community. This study addresses these limitations by developing a voice-driven system that enables blind users to interact with technology through natural language commands, offering functionalities such as navigation assistance, task reminders, and environmental awareness. Built on an ESP32 microcontroller with integrated speech recognition algorithms and contextual voice responses, the proposed system provides real-time interaction without the need for visual input. User testing with visually impaired participants demonstrated the effectiveness of the system in enhancing accessibility, reducing reliance on physical touch or screen-based interfaces. The results highlight the potential of voice-based technology in improving the autonomy and quality of life for blind individuals. Future work will focus on expanding language support and incorporating advanced AI for better context-awareness.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 86%
Mobile Agent-Based Network Management
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