Comprehensive Assistive Blind Stick for Visually Impaired Individuals aims to create an advanced Multi-Functional Blind Stick, using machine learning algorithm YOLO (You Only Look Once) machine learning algorithm for obstacle detection. YOLO enhances the stick’s capability to identify and classify obstacles in real-time, further improving safety and navigation for users, water sensing, light assessment, remote access, GPS navigation, and an ESP32 camera module into a single device. Ultrasonic sensors detect obstacles, while a moisture sensor identifies water or wet surfaces. A light sensor assesses lighting conditions. GPS provides location tracking and navigation, and the camera module offers visual feedback. Remote access facilitates easy retrieval of the stick. The user-friendly interface conveys information through audio feedback. This comprehensive solution enhances mobility, safety, and independence for visually impaired individuals, backed by extensive user testing and refinement.

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Comprehensive Assistive Blind Stick for Visually Impaired Individuals

  • Bhalashri Sethuraman,
  • M. Pragadeesh,
  • M. Deenath Inbaraj,
  • S. Keshan

摘要

Comprehensive Assistive Blind Stick for Visually Impaired Individuals aims to create an advanced Multi-Functional Blind Stick, using machine learning algorithm YOLO (You Only Look Once) machine learning algorithm for obstacle detection. YOLO enhances the stick’s capability to identify and classify obstacles in real-time, further improving safety and navigation for users, water sensing, light assessment, remote access, GPS navigation, and an ESP32 camera module into a single device. Ultrasonic sensors detect obstacles, while a moisture sensor identifies water or wet surfaces. A light sensor assesses lighting conditions. GPS provides location tracking and navigation, and the camera module offers visual feedback. Remote access facilitates easy retrieval of the stick. The user-friendly interface conveys information through audio feedback. This comprehensive solution enhances mobility, safety, and independence for visually impaired individuals, backed by extensive user testing and refinement.