Smart Wearables Using Arduino and Sensors for Visually Impaired People: A Third-Eye

— Smart and wearable devices for visually impaired individuals have advanced significantly, but often face limitations such as limited functionality, high cost, and usability issues. Despite numerous studies and available solutions, providing comprehensive and accessible support remains challenging. This study identifies these gaps through various literature reviews and market analyses, proposing an innovative approach by integrating ultrasonic sensors with the Arduino Pro Mini board to create a 'third eye for the blind.' This device uses ultrasonic waves to detect obstacles and alerts users with buzzer sounds or vibrations, enabling confident and swift navigation. Leveraging advancements in computer science, electrical engineering, and medicine, this solution addresses the limitations of traditional aids like the white cane. According to WHO, 39 million people globally are visually impaired, facing significant daily challenges. Existing technologies offer alternatives, but the given solution uniquely enhances mobility by allowing users to locate and recognize objects in their vicinity, providing alerts through vibrations or beeps when objects are detected. This approach offers a practical, cost-effective, and user-friendly alternative, significantly improving the quality of life for visually impaired individuals by enhancing their ability to travel safely and independently.

Authors

Institutions

Publication Details

Journal
International Journal of Emerging Technology and Advanced Engineering
Published
2024-09-23
DOI
https://doi.org/10.46338/ijetae142324_5
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Wearables Using Arduino and Sensors for Visually Impaired People: A Third-Eye

Mukesh Kumar Nag
International Journal of Emerging Technology and Advanced Engineering
Smart Parking Systems Research
article

Smart Wearables Using Arduino and Sensors for Visually Impaired People: A Third-Eye

Mukesh Kumar Nag
article en

Abstract

— Smart and wearable devices for visually impaired individuals have advanced significantly, but often face limitations such as limited functionality, high cost, and usability issues. Despite numerous studies and available solutions, providing comprehensive and accessible support remains challenging. This study identifies these gaps through various literature reviews and market analyses, proposing an innovative approach by integrating ultrasonic sensors with the Arduino Pro Mini board to create a 'third eye for the blind.' This device uses ultrasonic waves to detect obstacles and alerts users with buzzer sounds or vibrations, enabling confident and swift navigation. Leveraging advancements in computer science, electrical engineering, and medicine, this solution addresses the limitations of traditional aids like the white cane. According to WHO, 39 million people globally are visually impaired, facing significant daily challenges. Existing technologies offer alternatives, but the given solution uniquely enhances mobility by allowing users to locate and recognize objects in their vicinity, providing alerts through vibrations or beeps when objects are detected. This approach offers a practical, cost-effective, and user-friendly alternative, significantly improving the quality of life for visually impaired individuals by enhancing their ability to travel safely and independently.

International Journal of Emerging Technology and Advanced EngineeringVol. 14(SpecialIssue2)
National Institute of Technology Jamshedpur (IN)
Openalex Percentile: Top 81%
Smart Parking Systems Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.