Smart Helmet for Visually Impaired People using Arduino

Smart Helmet for Visually Impaired People using Arduino

Aditi M. Barde
det. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India

aditibarde03@gmail.com

Aseer S. Ahmed
dept. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India

aseerahmad916@gmail.com

Ankita V. Bharambe
dept. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India
ankitabharambe912@gmail.com

Ashish T. Gosavi

dept. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India

gosaviashish390@gmail.com

Sampada P. Palaskar
dept. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India
sampadapalaskar@gmail.com

Nirmal V. Shinde

dept. of Electrical Engineering
Shri Sant Gajanan Maharaj College of Engineering
Shegaon, India

nirmalshinde960@gmail.com

Abstract— Visually impaired people have great difficulties with independent and safe mobility in unfamiliar situations. Conventional mobility tools such as white canes and guide dogs provide some help but are generally not effective for detecting overhead or unexpected obstacles. In order to overcome these shortcomings, this project outlines the creation of a Smart Helmet that is specially made to help visually impaired users improve their spatial awareness and ability to detect obstacles.

The suggested system is developed based on an Arduino Uno microcontroller interfaced with Sharp distance sensors and a vibration motor to offer real-time feedback. The helmet constantly scans the environment and warns the wearer through vibrations if an obstacle is detected in a pre-set range. This design offers intuitive and non-verbal feedback independent of sound, which is appropriate for noisy situations.

The equipment was tested in laboratory conditions and showed consistent obstacle detection, quick response, and comfort to users. The project is focused on low cost, simplicity, and modularity and hence is scalable for mass deployment and future modifications, such as audio feedback and pothole detection.

This intelligent assistive device is meant to enhance mobility, safety, and confidence in visually impaired individuals during their everyday lives. With today's hectic and infrastructure-driven life, visually impaired persons are presented with numerous challenges in terms of independent mobility. Simple activities like walking along congested streets, navigating around buildings, or overcoming obstacles prove difficult and, occasionally, perilous. Conventional mobility aids such as white canes and guide dogs provide some level of support but tend to lack in identifying head-level or approaching obstacles, which are outside their range of sensing. Such shortcomings can result in injuries, decreased independence, and reduced confidence among users