AI-Enhanced Multifunctional Smart Assistive Stick for Enhanced Mobility and Safety of the Visually Impaired
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.
Authors
- Sandeep Dewan
- Ariful Azad (ORCID: https://orcid.org/0000-0003-1332-8630)
- Dipta Paul (ORCID: https://orcid.org/0009-0001-2693-8449)
- Mohammed R. Ali
- FAHIM KHAN
- S M Aliuzzaman (ORCID: https://orcid.org/0009-0002-8241-4698)
- Ahatesham Rabbi (ORCID: https://orcid.org/0009-0004-6167-8429)
- Niamul Alam
- Tanvir Shakil
Publication Details
- Journal
- Journal of Computer Science and Technology Studies
- Published
- 2025-03-02
- DOI
- https://doi.org/10.32996/jcsts.2025.7.1.21
- Citations
- 3
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 4.29