Arrianne Reigh San Luis | Jann Andrei De Guzman | Arrianey Gail Galicia | Romelyn Nuque | Lindsay Veniz Polon | Khian Perales | Jerkin Jexel Pedrosa | Joseph De Mata |
April 30, 2026
This study aims to design and implement a smart cane with audio navigation and a cap sensor to enhance mobility and safety for visually impaired individuals. The system integrates ultrasonic sensors and a servo motor for obstacle detection, an ESP32 microcontroller for processing, and Bluetooth-enabled audio feedback through earbuds for real-time guidance. The cane handle is wrapped with organic banana fiber to improve grip and absorb sweat, promoting user comfort and sustainability. Performance evaluation focused on distance detection accuracy, direction command precision, and audio response time. Results showed that the smart cane reliably detected obstacles at 20 cm with an average audio response time of 1.48 s (SD = 0.420) across five trials. In comparison, the cap system detected upper hazards at 60 cm with an average response time of 0.106 s (SD = 0.00894). Overall, GABAY demonstrates an accessible and eco-friendly solution for the safe navigation of visually impaired users.