Design and Implementation of IoT Based Smart Glasses Device for Visually Impaired People

Abstract: Visually impaired people face tremendous challenges in navigating their environment in a safe and independent way. As a response to these challenges, this project provides the Smart Glasses for Visually Impaired People, an assistive device to enhance mobility, safety, and emergency y communication. The system utilizes ultrasonic sensors, ESP32 Wi-Fi module, GPS module, GSM module, vibration motor and LiPo battery to provide real-time obstacle detection, GPS navigation n, and emergency SMS notification n. The ultrasonic sensors detect objects at a distance of up to 1 meter, and the system provides haptic (vibration) and audio feedback to alert the user. During an emergency, the GSM module (A6) sends an SMS alert along with GPS coordinates to a pre-registered contact, allowing remote assistance. The ESP32 module sends real-time location and sensor data to Thing Speak, allowing remote tracking of the user's movement. The data from thingspeak retrieved to the web page dashboard. The system is energy-efficient, low-cost, and portable, suitable for the visually impaired. It offers real-time obstacle detection, IoT-based remote tracking, and emergency response, significant ly improving user safety and mobility. The system was successfully tested and demonstrated high accuracy in obstacle detection and seamless GSM-GPS communication.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-18
DOI
https://doi.org/10.5281/zenodo.15457465
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Implementation of IoT Based Smart Glasses Device for Visually Impaired People

Zenodo (CERN European Organization for Nuclear Research)
Tactile and Sensory Interactions
article

Design and Implementation of IoT Based Smart Glasses Device for Visually Impaired People

article en

Abstract

Abstract: Visually impaired people face tremendous challenges in navigating their environment in a safe and independent way. As a response to these challenges, this project provides the Smart Glasses for Visually Impaired People, an assistive device to enhance mobility, safety, and emergency y communication. The system utilizes ultrasonic sensors, ESP32 Wi-Fi module, GPS module, GSM module, vibration motor and LiPo battery to provide real-time obstacle detection, GPS navigation n, and emergency SMS notification n. The ultrasonic sensors detect objects at a distance of up to 1 meter, and the system provides haptic (vibration) and audio feedback to alert the user. During an emergency, the GSM module (A6) sends an SMS alert along with GPS coordinates to a pre-registered contact, allowing remote assistance. The ESP32 module sends real-time location and sensor data to Thing Speak, allowing remote tracking of the user's movement. The data from thingspeak retrieved to the web page dashboard. The system is energy-efficient, low-cost, and portable, suitable for the visually impaired. It offers real-time obstacle detection, IoT-based remote tracking, and emergency response, significant ly improving user safety and mobility. The system was successfully tested and demonstrated high accuracy in obstacle detection and seamless GSM-GPS communication.

Zenodo (CERN European Organization for Nuclear Research)
University of Kigali (RW)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Tactile and Sensory Interactions
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