Author
Listed:
- Dipta Paul
(Department of Electrical and Electronics Engineering)
- S M Aliuzzaman
(Department of Electrical and Electronics Engineering)
- MD. Meraj Ali
(Department of Electrical and Electronics Engineering)
- Ahatesham Rabbi
(Computer Science and Engineering)
- MD FAHIM KHAN
(Department of Electrical and Electronics Engineering)
- Niamul Alam
(Department of Electrical and Electronics Engineering)
- MD Tanvir Shakil
(Department of Electrical and Electronics Engineering)
- Dewan Saiful Islam
(Computer Science and Engineering)
- Md Ariful Azad
(Department of Electrical and Electronics Engineering)
Abstract
In today's era of rapid advancement in technology, innovative assistive devices are transforming accessibility for visually impaired. Through the integration of assistive health technologies, embedded systems, and software engineering, the Smart Assistive Stick enables people to navigate on their own. Fundamentally, an Arduino microcontroller interprets the reflected signals to provide real-time feedback in the form of voice instructions or buzzer alerts. The ultrasonic sensor detects obstructions in three directions (front, left, and right) within a range of 0 to 30 cm. The stick is lightweight and reasonably priced, enhanced by GPS and GSM modules for location-based services and emergency alerts, and developed with SolidWorks for maximum efficiency and ergonomics. Additionally, the study uses cutting-edge artificial intelligence for object detection in response to the growing demand for affordable assistive devices. The information is then communicated to the user in audio form after captured photos are processed to classify different items, including people, cars, and other impediments. In the end, this dual strategy bridges the gap between accessibility and technology by facilitating independent mobility in a variety of contexts, such as public areas and senior living facilities, while also lowering human effort and raising environmental awareness.
Suggested Citation
Dipta Paul & S M Aliuzzaman & MD. Meraj Ali & Ahatesham Rabbi & MD FAHIM KHAN & Niamul Alam & MD Tanvir Shakil & Dewan Saiful Islam & Md Ariful Azad, 2025.
"AI-Enhanced Multifunctional Smart Assistive Stick for Enhanced Mobility and Safety of the Visually Impaired,"
Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(1), pages 283-301, January.
Handle:
RePEc:alk:jcsts0:v:7:y:2025:i:1:id:8726
DOI: 10.32996/jcsts.2025.7.1.21x
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