International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 7 Issue 6
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Visassist

Author(s) Swati Hadke, Devyani Belsare, Ashwini Sarode, Ayurshi Moudekar, Dewyani Date, Mangesh Ghayal, Rishiket Deshmukh
Country India
Abstract VisAssist is an innovative, portable, and low-cost system for enhancing independence and mobility in the visually impaired. The integrated hardware-software architecture will ensure real-time environmental awareness and detection of obstacles. A Raspberry Pi micro-controller acts as a central processing and control unit, while ultrasonic sensors and a camera module are interfaced to it for data acquisition and environmental analysis. These ultrasonic sensors estimate object distances from the individual, and the camera provides relevant information for contextual understanding of those objects. As soon as an obstacle is detected within the threshold range, immediate audio feedback is provided through earphones or a speaker linked with a TTS engine. The design ensures that the system can work exclusively offline without any dependency on internet connectivity and has been tested for both indoor and outdoor environments. Compactness, lightweight, and energy efficiency further support its suitability for daily use. With embedded system design, sensor fusion, and speech processing, VisAssist enhances user safety, situational awareness, and self-reliance, hence adding a new dimension to assistive technology for visually impaired people.
Field Sociology > Health
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-21
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60355
Short DOI https://doi.org/hbb4h2
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