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This paper presents the development of an assistive smart glasses solution designed to enhance mobility and navigation for visually impaired individuals through AI and computer vision technologies. Leveraging the NVIDIA Jetson Nano for real-time object detection using the YOLOv9 model, the device integrates a mini-camera and ultrasonic sensors to identify obstacles and measure distances. Furthermore, Google Maps API provides step-by-step navigation guidance. Auditory feedback through bone conduction headphones delivers navigation cues and obstacle alerts, ensuring non-intrusive, real-time support. This novel approach aims to provide a more accessible, reliable, and seamless navigation experience for visually impaired users, promoting greater independence and safety in everyday movement.

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Design and Implementation of AI-Powered Smart Glasses Utilizing Computer Vision for Assisting Visually Impaired Individuals

  • 会议论文

  • 发表日期：

    2026年

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  • Reena Kharat,
  • Sudeep Thepade,
  • Amruta Kothawade,
  • Omkar Kulkarni,
  • Sakshi Jadhav,
  • Soham Joshi

摘要

This paper presents the development of an assistive smart glasses solution designed to enhance mobility and navigation for visually impaired individuals through AI and computer vision technologies. Leveraging the NVIDIA Jetson Nano for real-time object detection using the YOLOv9 model, the device integrates a mini-camera and ultrasonic sensors to identify obstacles and measure distances. Furthermore, Google Maps API provides step-by-step navigation guidance. Auditory feedback through bone conduction headphones delivers navigation cues and obstacle alerts, ensuring non-intrusive, real-time support. This novel approach aims to provide a more accessible, reliable, and seamless navigation experience for visually impaired users, promoting greater independence and safety in everyday movement.