Assistive Navigation System for Blind and Visually Impaired Individuals

Sharma, Rohit and Singh, Manjeet and Upadhyay, Raj and Pandey, Sakshi and Shakya, Arpit (2026) Assistive Navigation System for Blind and Visually Impaired Individuals. Journal of Innovation and Technology, 2026 (13). pp. 115-124. ISSN 2805-5179

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Abstract

Mobility and independence for visually impaired individuals remain significant challenges worldwide in both indoor and outdoor environments. Recent advances in artificial intelligence (AI), the Internet of Things (IoT), wearable technologies, and sensor systems have enabled the development of innovative assistive solutions to address these challenges. One such solution is the Smart Cap, an affordable wearable device integrating sensors, AI, and IoT technologies to enhance environmental awareness and navigation for blind and visually impaired users. This paper reviews recent research and technological developments supporting the Smart Cap and presents its architecture, functionality, performance, and cost-effectiveness in comparison with existing assistive technologies such as smart canes and smart glasses. The review highlights AI-based object recognition, IoT-enabled data acquisition, sensory feedback mechanisms, and user-centered design approaches that improve navigation accuracy, safety, and usability. Comparative analysis indicates that the Smart Cap offers a balanced combination of hands-free operation, reliable obstacle detection, and low implementation cost while maintaining practical performance. Finally, the paper discusses current challenges and future research directions for advancing intelligent assistive navigation systems.

Item Type:	Article
Uncontrolled Keywords:	Assistive Technology, Navigation Systems, Vision Impairment, Artificial Technology
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > RE Ophthalmology T Technology > T Technology (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	16 Jun 2026 02:39
Last Modified:	16 Jun 2026 02:39
URI:	http://eprints.intimal.edu.my/id/eprint/2331

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