Smart Stick for Blind People using Raspberry Pi

The main purpose of this paper is to present a smart navigation aid designed to assist visually impaired individuals by enhancing mobility and safety. The goal of this project is to develop a smart stick using a Raspberry Pi, an efficient and versatile microcontroller platform. The smart stick is equipped with a Raspberry Pi Camera Rev 1.3, which captures real-time images of the surroundings and processes them using TensorFlow for object detection. The system detects obstacles such as walls, staircases, or furniture and provides immediate feedback to the user. A vibrator motor delivers tactile alerts, while a speaker provides audio warnings, ensuring a multi-sensory navigation experience. The smart stick is intended to be cost-effective, easy to develop, and adaptable. The proposed study results aim to improve independent navigation for visually impaired individuals, fostering confidence and safety in urban environments

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-11
DOI
https://doi.org/10.48175/ijarsct-25139
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Stick for Blind People using Raspberry Pi

Prof. Meenakshi Annamalai, Pratik S. Tale, Nishant S. Pawar, Vaibhav T. Shelke
International Journal of Advanced Research in Science Communication and Technology
IoT-based Smart Home Systems
article

Smart Stick for Blind People using Raspberry Pi

Prof. Meenakshi Annamalai, Pratik S. Tale, Nishant S. Pawar, Vaibhav T. Shelke
article en

Abstract

The main purpose of this paper is to present a smart navigation aid designed to assist visually impaired individuals by enhancing mobility and safety. The goal of this project is to develop a smart stick using a Raspberry Pi, an efficient and versatile microcontroller platform. The smart stick is equipped with a Raspberry Pi Camera Rev 1.3, which captures real-time images of the surroundings and processes them using TensorFlow for object detection. The system detects obstacles such as walls, staircases, or furniture and provides immediate feedback to the user. A vibrator motor delivers tactile alerts, while a speaker provides audio warnings, ensuring a multi-sensory navigation experience. The smart stick is intended to be cost-effective, easy to develop, and adaptable. The proposed study results aim to improve independent navigation for visually impaired individuals, fostering confidence and safety in urban environments

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 94%
IoT-based Smart Home Systems
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