Abstract:
This dissertation explores the development and implementation of an IoT-Based Ultrasonic Blind
Working Stick for Buluk Eye Center aimed at enhancing the mobility and independence of
visually impaired individuals. The project addresses the challenges of safe navigation by creating
a reliable and user-friendly assistive device. The system integrates ultrasonic sensors (HC-SR04)
and a water level sensor with an Arduino Uno microcontroller to detect obstacles and water
hazards, providing auditory and tactile feedback through buzzers and vibrating motors. A
rechargeable battery ensures portability and extended usage.
The research follows an Agile development approach, allowing for iterative testing and continuous
user feedback. Comprehensive testing unit, integration, and validation confirmed the system's
accuracy in detecting obstacles and water under various conditions.
Key findings demonstrate that the IoT-Based Ultrasonic Blind Working Stick effectively detects
obstacles and water, offering timely feedback that significantly aids in safe navigation. Users
reported enhanced confidence and independence, underscoring the device's practical utility. The
research highlights the importance of user-centric design and the potential of IoT technologies in
developing accessible solutions.
This work not only achieves its goal of creating an effective assistive tool but also sets the stage
for future advancements in assistive technology, promoting inclusivity and autonomy for visually
impaired individuals.
