Bridging Vision and Technology: The Future of AI in Assisting the Visually Impaired

In this review, we navigate the intersection of artificial intelligence (AI) and assistive technologies for the visually impaired, marking significant strides towards inclusivity and autonomy. The paper outlines current technological aids, such as advanced screen readers and navigation tools, before delving into the backbone of these innovations: sophisticated data acquisition methods and algorithms. The exploration extends to deep learning models, illustrating their transformative impact on assistive tasks by enhancing sensory interpretation and user interaction. Beyond immediate applications, the paper discusses deep learning's broader implications in related sectors like healthcare and smart environments, demonstrating its potential to revolutionize accessibility. The narrative concludes by advocating for a future where technology bridges the gap between ability and experience, emphasizing the critical need for continuous innovation and ethical considerations in the development of AI-driven assistive technologies.