International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 1 (January-February 2025) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Real–Time Assistance Prototype – A New Navigation Aid for Blind people

Author(s) Harshith Chandrashekar, Kavana V, Ningaraju K, Madhu L R, Raksha R Ganapathi
Country India
Abstract Visually impaired individuals encounter significant challenges in mobility, navigation, and performing everyday tasks. Traditional tools like canes and guide dogs are helpful but have limitations, especially in unfamiliar or complex environments. Recent advancements in technology have introduced innovative solutions to address these difficulties. This paper explores a range of assistive technologies designed to improve the lives of visually impaired people. These include wearable devices, mobile applications, and smart sensor systems that use cutting-edge methods such as Machine Learning (ML) and voice-based interaction. Tools like smart glasses equipped with sensors and cameras can detect obstacles and guide users safely. Mobile apps with features like text recognition and voice feedback enable visually impaired individuals to read, identify objects, and navigate their surroundings [3]. Voice-based systems further simplify interactions, allowing users to perform tasks hands-free. Many of these technologies depend on internet connectivity, raising concerns about accessibility and reliability. This paper highlights how these innovations are transforming mobility and independence for visually impaired individuals. It also emphasizes the need for further development to overcome existing limitations. By understanding the current state of assistive technologies, this study provides insights into how technology can continue to enhance the quality of life for visually impaired people [10].
Keywords Visually Impaired Navigation, Voice Assistance, Object Detection, Text to-Speech, NLP, COCO dataset, Machine Learning, Deep Learning, Real-Time, Cameras, Obstacle Detection, Audio Feedback.
Field Computer > Automation / Robotics
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-04
Cite This Real–Time Assistance Prototype – A New Navigation Aid for Blind people - Harshith Chandrashekar, Kavana V, Ningaraju K, Madhu L R, Raksha R Ganapathi - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.34622
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.34622
Short DOI https://doi.org/g82hf3

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