International Journal on Science and Technology
E-ISSN: 2229-7677
•
Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJSAT
Upcoming Conference(s) ↓
Conferences Published ↓
ALSDAHW-2025
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 17 Issue 2
April-June 2026
Indexing Partners
GUIDEWAY-Navigation Aid and Smart Obstacle Detection for the Visually Impaired
| Author(s) | Mr. Rahul Thigulla, Ms. Nikhila Snigdha Pundravada, Ms. Shirisha K, Dr. Shyam Sunder Pabboju |
|---|---|
| Country | India |
| Abstract | The GuideWay system is a smart wearable designed to support visually impaired people in their everyday movements, especially in unfamiliar or crowded places. It uses a Raspberry Pi as the main controller, connected to ultrasonic sensors, a camera, and GPS so that it can sense obstacles and understand the user’s surroundings in real time. With AI-based object recognition, GuideWay can recognize different obstacles, estimate how far they are, and then warn the user using clear audio messages and vibration patterns, helping them move safely both indoors and outdoors. Beyond navigation, GuideWay also cares about emergencies and daily routines. If the user falls or is in trouble, the device can automatically send their location to a caregiver through an emergency alert feature. It can also give spoken reminders, for example for taking medicines on time, which supports independent living. By bringing together embedded hardware, computer vision, and artificial intelligence in a compact wearable form, GuideWay aims to be affordable, reliable, and easy to use, ultimately improving the mobility, safety, and quality of life of visually impaired individuals. |
| Keywords | Visually Impaired, Smart Wearable Device, Obstacle Detection, Raspberry Pi, Computer Vision, Artificial Intelligence, Object Recognition, GPS Navigation. |
| Field | Engineering |
| Published In | Volume 17, Issue 2, April-June 2026 |
| Published On | 2026-04-18 |
Share this

CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.