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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AI ENABLED SMARSHOE FOR VISUALLY IMPAIRED PEOPLE USING OBSTACLE DETECTION AND VOICE ASSISTANCE

S Sridhar S Sathiyaraj B Puviarasan P Manesh kumar

S.A.Samson

Dept.Of Electronics And Communication Engineering


Arunai Engineering College (Autonomous)


Tiruvannamalai India

DOI:https://doi.org/10.55041/ijcope.v2i5.183

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The system aims to help visually impaired individuals by improving their mobility, independence, and safety. It combines LIDAR-based obstacle detection, camera-based object recognition, and real-time processing to create accurate environmental awareness. Unlike traditional tools like white canes and ultrasonic systems, which have a limited sensing range and provide little context, this solution uses sensor fusion and lightweight AI algorithms to improve detection accuracy and response time. The system features an ESP32 microcontroller for real-time data processing, along with GPS for outdoor navigation. Vibration motors in the footwear provide directional haptic feedback, while voice assistance gives intuitive navigation instructions. Experimental testing shows better obstacle detection, lower latency, and increased reliability in both indoor and outdoor settings. This smart shoe is a compact, affordable, and user-friendly assistive solution that greatly enhances the quality of life

Keywords— Artificial Intelligence, Obstacle Detection, LIDAR Sensor, Sensor Fusion, ESP32, Navigation, GPS Tracking, Haptic Feedback, Voice Assistance, Wearable Technology, Real-Time Embedded Systems, Assistive Technology.

 

How to Cite this Paper

Sridhar, S., Sathiyaraj, S., Puviarasan, B. & kumar, P. M. (2026). AI Enabled Smarshoe For Visually Impaired People Using Obstacle Detection And Voice Assistance. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.183

Sridhar, S, et al.. "AI Enabled Smarshoe For Visually Impaired People Using Obstacle Detection And Voice Assistance." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.183.

Sridhar, S,S Sathiyaraj,B Puviarasan, and P kumar. "AI Enabled Smarshoe For Visually Impaired People Using Obstacle Detection And Voice Assistance." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.183.

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References


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  2. Shoval et al., “Development of a navigation system for the visually impaired using tactile feedback,” 2008.

  3. Aladren et al., “Navigation assistance for the visually impaired using RGB-D sensor,” 2016.

  4. Xiao et al., “Wearable obstacle detection system using multi-sensor fusion,” 2018.

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  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 07 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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