This algorithm creates a safety zone by assessing obstacles in the environment, indicating improved navigation for the visually impaired.
Modern medical technology still falls short in enhancing navigation for visually impaired individuals, as existing electronic assistance devices often suffer from dependence on external systems, low performance, and high costs. To address these challenges, this study aims to develop an algorithm capable of measuring the distance to objects within the user's field of view and creating a safety zone by assessing the threat level of both stationary and dynamic obstacles. The proposed algorithm processes environmental data by detecting objects, estimating distances, and generating a dynamic safety zone, integrating seamlessly with computer vision technologies to enhance navigation safety. Its practical significance lies in its potential to serve as the foundation for next-generation navigation systems, providing visually impaired users with greater independence without reliance on external infrastructure.
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Dimitrios Palogiannidis (2025) studied this question.
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