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IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition
Muhammad Siddique Farooq1, Imran Shafi2, Harris Khan2
1National Centre for Robotics and Automation, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Sensors (Basel, Switzerland)
|November 26, 2022
Summary
This smart stick uses IoT technology to help visually impaired individuals navigate safely. It detects obstacles and provides real-time alerts, enhancing mobility and independence.
Area of Science:
- Assistive Technology
- Internet of Things (IoT)
- Human-Computer Interaction
Background:
- Visually impaired individuals face significant challenges navigating outdoor environments.
- Existing assistive devices often lack comprehensive obstacle detection and real-time location tracking capabilities.
Purpose of the Study:
- To design and develop an Internet of Things (IoT)-enabled smart stick for the visually impaired.
- To enhance user safety and independence through advanced obstacle detection and navigation assistance.
Main Methods:
- Integration of ultrasonic sensors, water sensors, and a high-definition camera with object recognition.
- Implementation of dual feedback modes: vibration for direction and voice for object identification.
- Utilizing Global Positioning System (GPS)/Global System for Mobile Communication (GSM) modules for real-time location tracking via an IoT platform.
- Inclusion of a panic button for emergency assistance, sending SMS alerts with location data.
Main Results:
- The smart stick successfully detects various obstacles and environmental hazards like puddles.
- Object recognition capabilities allow for accurate identification and voice feedback to the user.
- The IoT platform enables live location monitoring and emergency SMS alerts with Google Maps links.
- The device is designed to be lightweight, waterproof, adjustable, and energy-efficient with long battery life.
Conclusions:
- The developed IoT-enabled smart stick offers a robust and comprehensive solution for enhancing the mobility and safety of visually impaired individuals.
- The combination of advanced sensors, object recognition, and real-time tracking significantly improves navigation assistance.
- The system's user-friendly features, including dual feedback modes and an emergency panic button, promote independence and security.
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