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Design and development of a smart blind walking stick using machine learning.

Vishal Vinod Hingorani1, Debanik Mukherjee1, Kritika Sharma1

  • 1School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.

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|April 1, 2022
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Summary

This study introduces a smart walking stick for visually impaired individuals, utilizing machine learning (ML) to identify objects and provide voice alerts, enhancing safety and independence.

Keywords:
Machine learningbiomedical instrumentsinternet of thingsobject classificationobject detectionstabilisation

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Area of Science:

  • Assistive technology
  • Computer vision
  • Machine learning applications

Background:

  • Visually impaired individuals face significant daily challenges, often leading to dependency.
  • Conventional walking sticks offer limited support and lack object recognition capabilities.
  • Existing assistive devices do not adequately address the need for environmental awareness.

Purpose of the Study:

  • To develop an intelligent walking stick to aid visually impaired people.
  • To enhance user safety by providing real-time object identification and alerts.
  • To reduce dependency and boost confidence among visually impaired users.

Main Methods:

  • Integration of machine learning models for object recognition.
  • Development of a hardware system for data acquisition and processing.
  • Creation of a mobile application for voice-based user alerts.

Main Results:

  • The smart walking stick successfully identifies objects in the user's path.
  • Voice output alerts provide timely warnings about potential obstacles.
  • Hardware integration improved phone stabilization and object identification accuracy.

Conclusions:

  • The developed smart walking stick offers a significant improvement over traditional mobility aids.
  • This technology can enhance the independence and safety of visually impaired individuals.
  • The system demonstrates the potential of AI in creating more effective assistive devices.