dc.contributor.author |
Project Supervisor Dr, Ns Faiza Farooq Ns Memoona Batool Ns Muhammad Abdur Rehman Sajid Gul Khawaja Dr. Usman Akram |
|
dc.date.accessioned |
2025-03-13T06:35:06Z |
|
dc.date.available |
2025-03-13T06:35:06Z |
|
dc.date.issued |
2021 |
|
dc.identifier.other |
DE-COMP-39 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/50972 |
|
dc.description |
Project Supervisor Dr, Sajid Gul Khawaja Dr. Usman Akram |
en_US |
dc.description.abstract |
Blindness and visual impairment has affected over 276 million blind people globally
and 1.14 million in Pakistan alone. As a result of not having proper sight, people suffering
from blindness and visual impairment face lots of trouble with their day-to-day tasks. There
is a dire need to aid the blind to make them eligible to perform their chores. The project deals
with the design of an assistive smart cane for the blind. Smart canes available in the market
are way out of the reach of an ordinary person for being quite expensive. The aim of the
project is to address the development work of a cane that could communicate with the users
through voice alerts and vibratory patterns for obstacle detection and easy navigation. The
idea is to keep the device equally usable for both, blind and visually impaired users. Use of
Ultrasonic sensor, MaxSonar will be made for obstacle detection. Haptic feedback will be
generated using low-cost vibratory motor. A smartphone app will make it easier for the user
to navigate without any hassle. For making the cane user-friendly and interactive, it’ll be
able to connect to the smartphone app via BLE. The proposed multifunction smart cane will
be a hybrid of hardware and software. Major features include affordability, light weight,
suitable range, efficient, responsive, and most importantly a standalone MVP. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
College of Electrical & Mechanical Engineering (CEME), NUST |
en_US |
dc.subject |
cane, smart cane, assistive technology, blindness, visual impairment, mobile application, technology, sensors, obstacle detection |
en_US |
dc.title |
Assistive Smart Cane for Blind |
en_US |
dc.type |
Project Report |
en_US |