Visually Impaired People

Research on assistive technologies for visually impaired individuals focuses on improving navigation, object recognition, and interaction with digital environments. Current efforts leverage computer vision, particularly object detection models like YOLO and various deep learning architectures, to provide real-time audio and haptic feedback about surroundings, enabling independent mobility and task completion. These advancements aim to enhance the quality of life for visually impaired people by increasing autonomy and participation in daily activities. The field also emphasizes co-design approaches, ensuring that technology development is user-centered and addresses the specific needs and preferences of the blind community.