The development of an augmented reality (AR) navigation system tailored for the visually impaired addresses a critical need for enhancing mobility and independence among individuals with visual impairments. By leveraging advancements in computer vision, sensor technology, and haptic/audio feedback mechanisms, this system aims to provide real-time assistance in navigating complex environments, detecting obstacles, and recognizing objects. The system will:
Visual impairment poses significant challenges to daily navigation, often requiring reliance on guide animals, canes, or assistance from others. Traditional aids offer limited assistance and can be cumbersome to use. An AR navigation system offers a promising solution by overlaying digital information onto the user's physical surroundings, thereby enhancing spatial awareness and facilitating independent mobility. This technology has the potential to revolutionize the lives of visually impaired individuals by empowering them to navigate confidently and efficiently in various environments, including indoor spaces, streets, and public transportation.
This research will help undergraduate students develop valuable skills, including:
Developing an AR navigation system for the visually impaired involves a multidisciplinary approach, encompassing skills in computer vision, sensor fusion, human-computer interaction, signal processing, and accessibility design. Additionally, proficiency in software development, particularly in programming languages such as Python, C++, and Java, is essential for implementing the system's algorithms and user interfaces. Strong problem-solving abilities, attention to user experience, and empathy for the needs of visually impaired individuals are also crucial skills for designing effective and user-friendly solutions.
