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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM57673

Smart Eyewear for Visually Impaired People Using IOT and Embedded Systems

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM57673

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PV

Punit Verma

AM

Ashutosh Mishra

AS

Aditi Singh

SS

Sachin Sase

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Abstract

Visual impairment significantly affects 1. INTRODUCTION independent mobility, spatial awareness, and the ability to perform daily life activities safely. Conventional assistive tools such as white canes and guide sticks provide basic obstacle detection but offer limited environmental perception and lack intelligent feedback mechanisms. These traditional aids typically rely on physical contact with objects, which restricts reaction time and may not effectively detect obstacles at head level or from a distance. To address these limitations, this paper presents the design and development of Smart Eyewear for Visually Impaired People, a low-cost and wearable assistive system that enhances safe navigation through real-time obstacle detection and audio guidance. The proposed system integrates ultrasonic sensing technology, a microcontroller-based processing unit, and an audio output interface to identify obstacles and immediately notify the user through voice or buzzer alerts. By continuously monitoring the surrounding environment, the device provides proactive warnings that allow users to react quickly and avoid collisions. The eyewear operates as a standalone embedded system, ensuring portability, minimal power consumption, and user-friendly operation without requiring complex setup or technical knowledge. In addition to basic obstacle detection, the system is designed with scalability in mind, allowing future integration of advanced modules such as camera-based object recognition, wireless communication, and smartphone connectivity. The compact design and lightweight structure make it comfortable for prolonged use, while the efficient circuitry ensures stable performance over extended periods. Experimental evaluation demonstrates that the system achieves reliable detection accuracy, rapid response time, and consistent performance across different indoor and outdoor environments. The results indicate a noticeable improvement in user safety, situational awareness,

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Cite This Article

Punit Verma, Ashutosh Mishra, Aditi Singh, Sachin Sase, "Smart Eyewear for Visually Impaired People Using IOT and Embedded Systems," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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Publication Date

3/15/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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