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Smart Walking Stick for the Visually Impaired

Project Overview

The Smart Walking Stick is designed to assist visually impaired individuals during mobility training in schools for the blind. It features a geo-fencing capability accessible through a web app, obstacle detection with an IR sensor and buzzer, and real-time GPS tracking for monitoring and safety. The system aims to enhance independence and safety during training.

Objectives

  • Real-Time Location Tracking: Monitor the stick's location using GPS and IoT.
  • Geo-Fencing: Allow schools to define safe zones and trigger alerts if the stick moves outside.
  • Obstacle Detection: Warn users of obstacles using an IR sensor and buzzer.
  • Web App Interface: Manage geo-fences and monitor the stick’s location via an easy-to-use interface.
  • Local Alarm: Provide immediate audio alerts for safety.

Project Structure

  • FINAL-CODE: The main folder containing all working code.
    • AWS: Files to be deployed on the AWS EC2 instance.
      • server.js: Backend server code (Node.js with Express.js).
      • public: Contains index.html, app.js - frontend files for the web application.
    • NODEMCU: Code for the NodeMCU module.
      • FINAL-CODE-WITH-GPS-AND-IR: Final working code for the NodeMCU.
      • TESTS: Additional sensor test files for debugging.
        • BUZZER-TEST: Test the buzzer alone.
        • IR-AND-BUZZER: Test if the buzzer works with the IR sensor (change the potentiometer on the IR for debugging).
        • WORKING-GPS-TEST: Test if your GPS works.

Deployment Steps

Prerequisites

  1. Ubuntu 20.04 or 22.04 Instance: Launch an AWS EC2 instance and connect via EC2 Instance Connect.
  2. Node.js and npm: Install Node.js and npm.
  3. MongoDB: Install and configure MongoDB.
  4. PM2: Install PM2 to keep the Node.js server running. (This caused issues for us - your project can work without it, just manually run 'node server.js')

System Components

Hardware

  1. NodeMCU (ESP8266): Microcontroller for communication and control.
  2. GPS Module (NEO-6M/NEO-7M/NEO-8M): Tracks the stick’s location.
  3. IR Sensor: Detects nearby obstacles.
  4. Buzzer: Alerts the user to obstacles or geo-fence breaches.
  5. Battery: Rechargeable power source for portability.
  6. Stick Structure: Lightweight walking stick housing the components.

Software

  1. Firmware: Runs on NodeMCU to integrate sensors, GPS, and buzzer.
  2. Web Application: Allows geo-fence setup and real-time monitoring.

System Workflow

Obstacle Detection

  • The IR sensor detects objects within range.
  • If an obstacle is detected, the buzzer activates to alert the user.

Geo-Fencing

  • Schools define a safe zone using the web app.
  • The stick sends GPS data to the backend server via WiFi.
  • If the stick moves outside the geo-fence, alerts are triggered on the web app.

Real-Time Monitoring

  • The web app displays the current location of the stick on an interactive map.
  • Administrators can track the movement and progress of users.

Technical Details

Hardware Integration

Component Purpose Connection to NodeMCU
GPS Module Real-time location tracking UART (TX/RX pins)
IR Sensor Obstacle detection Digital input pin
Buzzer Audio alert Digital output pin
Battery Power supply 3.7V or 5V input

Web Application Features

  1. Geo-Fence Configuration: Define and save circular or polygonal boundaries.
  2. Real-Time Location Tracking: Display the stick’s current location on a map.
  3. Alerts: Notify administrators for geo-fence breaches.

Communication Protocol

  • WiFi (NodeMCU): Sends GPS data and receives geo-fence configurations.
  • HTTP/MQTT: Protocols for data transmission.

Technology Stack

Frontend

  • Framework: JavaScript
  • Mapping Library: Leaflet.js
  • Styling: CSS

Backend

  • Framework: Express.js (Node.js)
  • Database: MongoDB
  • Real-Time Communication: Socket.IO

Hosting

  • AWS EC2 Instance: Hosts both the frontend and backend.

Power Management

  • Rechargeable Li-ion battery with a charging module (e.g., TP4056).

Challenges and Solutions

Challenge Solution
Reliable obstacle detection Calibrate IR sensor for different environments.
GPS accuracy Use GPS + assisted techniques if possible.
Real-time updates in low WiFi areas Cache GPS data locally and send it when WiFi is available.
Compact design Optimize the layout of hardware components.

Potential Extensions

  1. Mobile App: Develop a companion app for notifications and real-time tracking.
  2. Advanced Sensors: Include ultrasonic sensors for enhanced obstacle detection.
  3. Voice Feedback: Add text-to-speech modules for directional or alert messages.
  4. Haptic Feedback:
    • Integrate a vibration motor for tactile alerts.
    • Alternatively, use a servo motor to communicate tactile messages via Morse code, enabling users to receive nuanced feedback about their surroundings.

Project Timeline

Phase Duration
Brainstorming 21st September - 21st October, 2024
Backend Development 21st October - 4th November, 2024
Frontend Development 4th - 18th November, 2024
Hardware Assembly 18th November - 2nd December, 2024
Integration & Testing 2nd - 15th December, 2024
Demonstration 16th December, 2024

Expected Outcomes

  • A functional smart walking stick for visually impaired training schools.
  • A web app to configure geo-fences and monitor real-time movements.
  • Improved safety and mobility for visually impaired individuals during training.

Contributing

Marvin Showkat, Sneha Sunil, Naganandana Nagendra, Suleiman Bin Daud under the guidance of Prof Jagadish Nayak, Prof Ashwani Saini and Prof Hidayathulla.