Abstract:
Navigating through everyday environments poses significant challenges for impaired
individuals, particularly when it comes to aviation settings where safety and precision are paramount.
This thesis presents the development of an innovative mobile application designed to assist impaired
individuals in navigating these complex environments with greater ease and confidence. Our application,
built with Google Maps integration, incorporates advanced object detection functionality to enhance the
user experience and provide crucial navigational aid. Unlike conventional navigation apps, our app
features a camera view integrated into the navigation interface. This allows users to hold their phones
facing forward while walking, enabling the app to detect and recognize objects in their path. By
leveraging real-time image processing and machine learning algorithms, the system identifies obstacles
and provides immediate feedback to the user, ensuring a safer and more informed journey.
This application not only facilitates independent navigation but also empowers impaired
individuals by increasing their mobility and confidence in unfamiliar or challenging settings. The
development process, technical specifications, and user testing outcomes discussed in this thesis
demonstrate the app's potential to significantly improve the quality of life for impaired individuals,
particularly in the aviation context.
Through this work, we aim to contribute to the growing field of assistive technology and
underscore the importance of inclusivity in technological advancements. We believe this app will serve
as a vital tool in bridging the gap between impaired individuals and their environments, fostering greater
independence and accessibility.
