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

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

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

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