Virtual Booth

Visually impaired individuals often face significant difficulties navigating unfamiliar environments independently. Traditional aids such as white canes and guide dogs are limited in their ability to detect complex or distant obstacles, and they lack real-time location tracking during emergencies. This study proposes Smart Eyes 3.0, a wearable assistive device designed to enhance the mobility, safety, and autonomy of individuals with visual impairments.

The device integrates an ultrasonic sensor for obstacle detection and a GPS module for real-time location tracking. Built on the LilyGo ESP32 development board, it transmits data via a SIM-based mobile network to the Adafruit.IO IoT platform, enabling guardians to monitor user location during emergencies. Users are alerted to nearby hazards through audio and vibration signals.

The hypothesis of this project is that combining obstacle detection and GPS tracking in a single wearable device will significantly improve independent navigation and caregiver support for visually impaired individuals. Field testing showed that Smart Eyes 3.0 achieved an obstacle detection accuracy exceeding 85%, while GPS tracking proved reliable with minimal latency. Users reported increased confidence and spatial awareness, and guardians expressed satisfaction with the remote monitoring capability.

In conclusion, Smart Eyes 3.0 demonstrates promising potential as a comprehensive assistive tool for the visually impaired. Future improvements will focus on extending battery life, enhancing waterproofing, and refining detection algorithms for complex environments.