Year: 2025
Type: article
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
Authors: Prof. Meenakshi Annamalai, Pratik S. Tale, Nishant S. Pawar, Vaibhav T. Shelke
Institution: JSPM University
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409363762