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The application will be a Vision-Based Navigation for the Visually Impaired.

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Vision-Based Mobility and Navigation Aid for the Visually Challenged People

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The project aims to assist visually impaired individuals with navigation by providing real-time obstacle avoidance and route guidance. The system takes a voice command to set the user's desired destination, then identifies and guides the user along a complete route, notifying them when a turn is needed. Simultaneously, it executes an obstacle avoidance model that alerts the user when an obstacle is nearby. The system is designed to operate in real-time, with controlled delays between voice commands to prevent overwhelming the user, resulting in an improved navigation and obstacle avoidance experience.


Introduction:

  • An estimated 285 million Visually Impaired people in the world
  • The risk of mortality associated with Visual Impairment in a study was around 25% casualties
  • Secure and Independent Mobility is a challenge for the Visually Impaired
  • Mobility and Navigation Difficulties can be solved with Electronic Travel Assistance

Research Gap:

  • Lack of Useful Functions
  • Inaccurate Distance Estimation
  • Bulky and Heavy-Weight
  • Ergonomic and Aesthetic
  • Steep Learning Curve
  • Expensive

Proposed Solution:

  • Modular Assistive System
  • Consists of two Independent Modules:
    • Object Detection Module
    • Voice Interactive Orientation and Navigation Module
  • Object Detection Module for Detection and Avoidance
  • Navigation Module for Navigation and Path Planning
  • Simplified Audio Feedback

Novelty:

  • Obstacle Detection, Depth Estimation and Route Estimation
  • Rerouting Capability
  • Convenient Carry and Lightweight
  • No Geographical Bounds
  • Low Power Consumption
  • Inexpensive

Methodolgy:

Architecture of the Proposed System:

Architecture of the Proposed System


Object Detection Module:

Architecture of the Object Detection Module


HSV Thresholding:

HSV Thresholding and Object Detection


Navigation Module:

Architecture of the Navigation Module


Results:

Study Design

  • Experiments: 10
  • Environment: Footpath (4m-5m Wide)
  • Condition: Medium Crowded
  • Subjects: Individuals with camera strapped on their chest

Combined Precision and Recall for the Detected Obstacles:

  • Recall: 91.7%
  • Precision: 81.5%

Advantages & Limitations:

Advantages:

  • Simplified Audio Feedback
  • Real-Time Implementation
  • Blend of Obstacle and Navigation
  • Low Power Embedded System
  • Wearable System
  • High Precision
  • Cost Effective

Limitations:

  • Required Uniform Illumination
  • Low GPS Accuracy

Conclusion:

  • Implemented a new method for the Visual-Based Navigation System for the Visually Impaired.
  • Reduced Information Load for Mobility and Navigation Assistance
  • Simplified representation of the Surrounding Environment
  • Accuracy:
    • Object Detection: 91.7%
    • Orientation and Navigation: 77%


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The application will be a Vision-Based Navigation for the Visually Impaired.

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