Abstract: Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. The Basira mobile application was developed using the Flutter platform and integrated with a detection model. The application features voice command functionality to guide users during navigation and assist in identifying daily items. It can recognize a wide range of obstacles and objects in real-time, enabling users to make informed decisions while navigating. Initial testing of the application has shown promising results, with clear improvements in users' ability to navigate safely and confidently in various environments. Basira enhances independence and contributes to improving the quality of life for individuals with visual impairments. This study represents a significant step towards developing innovative technological solutions aimed at enabling all individuals to navigate freely and safely.

Amal Alshahrani, Areej Alqurashi, Nuha Imam, Amjad Alghamdi and Raghad Alzahrani, “Basira: An Intelligent Mobile Application for Real-Time Comprehensive Assistance for Visually Impaired Navigation” International Journal of Advanced Computer Science and Applications(IJACSA), 15(9), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150947

@article{Alshahrani2024,
title = {Basira: An Intelligent Mobile Application for Real-Time Comprehensive Assistance for Visually Impaired Navigation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150947},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150947},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Amal Alshahrani and Areej Alqurashi and Nuha Imam and Amjad Alghamdi and Raghad Alzahrani}
}